WorldWideScience

Sample records for pipeline demand analysis

  1. Transport of solid commodities via freight pipeline: demand analysis methodology. Volume IV. First year final report

    Energy Technology Data Exchange (ETDEWEB)

    Allen, W.B.; Plaut, T.

    1976-07-01

    In order to determine the feasibility of intercity freight pipelines, it was necessary to determine whether sufficient traffic flows currently exist between various origins and destinations to justify consideration of a mode whose operating characteristics became competitive under conditions of high-traffic volume. An intercity origin/destination freight-flow matrix was developed for a large range of commodities from published sources. A high-freight traffic-density corridor between Chicago and New York and another between St. Louis and New York were studied. These corridors, which represented 18 cities, had single-direction flows of 16 million tons/year. If trans-shipment were allowed at each of the 18 cities, flows of up to 38 million tons/year were found in each direction. These figures did not include mineral or agricultural products. After determining that such pipeline-eligible freight-traffic volumes existed, the next step was to determine the ability of freight pipeline to penetrate such markets. Modal-split models were run on aggregate data from the 1967 Census of Transportation. Modal-split models were also run on disaggregate data specially collected for this study. The freight pipeline service characteristics were then substituted into both the aggregate and disaggregate models (truck vs. pipeline and then rail vs. pipeline) and estimates of pipeline penetration into particular STCC commodity groups were made. Based on these very preliminary results, it appears that freight pipeline has market penetration potential that is consistent with high-volume participation in the intercity freight market.

  2. Engineered pipeline field joint coating solutions for demanding conditions

    Energy Technology Data Exchange (ETDEWEB)

    Lwemuchi, Andre L.; Gudme, Carl C.; Buchanan, Robert [Canusa-CPS, Toronto, OT (Canada)

    2009-12-19

    Trends in the oil and gas pipeline industry see that the demand for new technologies and engineered solutions for pipeline external coatings are increasing. In general, superior mechanical resistance and long term performance are being required in addition to operating at higher temperatures. This demand for more robust coatings has been created because of factors such as more remote fields, deep onshore reservoirs, deep water offshore fields and heavy oil that must be pumped at higher temperatures. The development of new techniques for pipeline construction is also exposing the coatings to more aggressive construction conditions. Because of this, the use of three layer and multi-layer polypropylene mainline coating systems have been growing considerably. Following this trend, the field joint coating manufacturers developed polypropylene systems and more recently had to work on engineered solutions required for recent offshore projects in Europe where very thick polypropylene field joint heat-shrinkable systems were provided. In addition, projects in remote locations such as the recently completed projects in the Brazilian Amazon required special logistics and field services. The growth of the mining industry in South America with slurry pipelines constructed in the recent years also demanded thicker, more robust coatings. The popularization of directional drilling and shore approach applications moved the industry to develop improved abrasion resistant coating systems such as using sacrificial elements to protect the primary coating integrity after the pipeline pull. PETROBRAS plans to replace existing thermally insulated pipelines crossing Great Sao Paulo. Therefore, pumping heavy oil at high temperatures created the need to develop improved mainline and field joint coatings to avoid having the same sort of problems they are facing in existing thermally insulated lines. Due to these needs, the field joint coating manufactures have been challenged to provide

  3. [Automatic analysis pipeline of next-generation sequencing data].

    Science.gov (United States)

    Wenke, Li; Fengyu, Li; Siyao, Zhang; Bin, Cai; Na, Zheng; Yu, Nie; Dao, Zhou; Qian, Zhao

    2014-06-01

    The development of next-generation sequencing has generated high demand for data processing and analysis. Although there are a lot of software for analyzing next-generation sequencing data, most of them are designed for one specific function (e.g., alignment, variant calling or annotation). Therefore, it is necessary to combine them together for data analysis and to generate interpretable results for biologists. This study designed a pipeline to process Illumina sequencing data based on Perl programming language and SGE system. The pipeline takes original sequence data (fastq format) as input, calls the standard data processing software (e.g., BWA, Samtools, GATK, and Annovar), and finally outputs a list of annotated variants that researchers can further analyze. The pipeline simplifies the manual operation and improves the efficiency by automatization and parallel computation. Users can easily run the pipeline by editing the configuration file or clicking the graphical interface. Our work will facilitate the research projects using the sequencing technology.

  4. Automated pipelines for spectroscopic analysis

    Science.gov (United States)

    Allende Prieto, C.

    2016-09-01

    The Gaia mission will have a profound impact on our understanding of the structure and dynamics of the Milky Way. Gaia is providing an exhaustive census of stellar parallaxes, proper motions, positions, colors and radial velocities, but also leaves some glaring holes in an otherwise complete data set. The radial velocities measured with the on-board high-resolution spectrograph will only reach some 10 % of the full sample of stars with astrometry and photometry from the mission, and detailed chemical information will be obtained for less than 1 %. Teams all over the world are organizing large-scale projects to provide complementary radial velocities and chemistry, since this can now be done very efficiently from the ground thanks to large and mid-size telescopes with a wide field-of-view and multi-object spectrographs. As a result, automated data processing is taking an ever increasing relevance, and the concept is applying to many more areas, from targeting to analysis. In this paper, I provide a quick overview of recent, ongoing, and upcoming spectroscopic surveys, and the strategies adopted in their automated analysis pipelines.

  5. Paramedic Physical Demands Analysis

    Science.gov (United States)

    2014-07-01

    medical bags, cardiac monitor, stretcher, stair chair, etc.) were not standardized across services. As a result the total amount of equipment weight ...report describes the pushing/pulling, walking, and stair climbing demands as observed during the observation periods. Walking demands varied between the...standard deviation about the mean. .................................................................. 25 Figure 7 - The maximum weight (heaviest patient

  6. Submarine Pipeline Routing Risk Quantitative Analysis

    Institute of Scientific and Technical Information of China (English)

    徐慧; 于莉; 胡云昌; 王金英

    2004-01-01

    A new method for submarine pipeline routing risk quantitative analysis was provided, and the study was developed from qualitative analysis to quantitative analysis.The characteristics of the potential risk of the submarine pipeline system were considered, and grey-mode identification theory was used. The study process was composed of three parts: establishing the indexes system of routing risk quantitative analysis, establishing the model of grey-mode identification for routing risk quantitative analysis, and establishing the standard of mode identification result. It is shown that this model can directly and concisely reflect the hazard degree of the routing through computing example, and prepares the routing selection for the future.

  7. Household fuel demand analysis

    Energy Technology Data Exchange (ETDEWEB)

    Cohn, S.; Hirst, E.; Jackson, J.

    1976-01-01

    This study develops econometric models of residential demands for electricity, natural gas, and petroleum products. Fuel demands per household are estimated as functions of fuel prices, per capita income, heating degree days, and mean July temperature. Cross-sectional models are developed using a large data base containing observations for each state and year from 1951 through 1974. Long-run own-price elasticities for all three fuels are greater than unity with natural gas showing the greatest sensitivity to own-price changes. Cross-price elasticities are all less than unity except for the elasticity of demand for oil with respect to the price of gas (which is even larger than the own-price elasticity of demand for oil). The models show considerable stabiity with respect to own-price elasticities but much instability with respect to the cross-price and income elasticities.

  8. The Ruptured Pipeline: Analysis of the Mining Engineering Faculty Pipeline

    Science.gov (United States)

    Poulton, M.

    2011-12-01

    The booming commodities markets of the past seven years have created an enormous demand for economic geologists, mining engineers, and extractive metallurgists. The mining sector has largely been recession proof due to demand drivers coming from developing rather than developed nations. The strong demand for new hires as well as mid-career hires has exposed the weakness of the U.S. university supply pipeline for these career fields. A survey of mining and metallurgical engineering faculty and graduate students was conducted in 2010 at the request of the Society for Mining, Metallurgy, and Exploration. The goals of the surveys were to determine the demographics of the U.S. faculty in mining and metallurgical engineering, the expected faculty turn over by 2010 and the potential supply of graduate students as the future professorate. All Mining Engineering and Metallurgical Engineering degrees in the U.S. are accredited by the Accreditation Board for Engineering and Technology (ABET) and the specific courses required are set by the sponsoring professional society, Society for Mining, Metallurgy, and Exploration. There are 13 universities in the U.S. that offer a degree in Mining Engineering accredited as Mining Engineering and 1 university that grants a Mining Engineering degree accredited under general engineering program requirements. Faculty numbers are approximately 87 tenure track positions with a total undergraduate enrollment of slightly over 1,000 in the 2008-2009 academic year. There are approximately 262 graduate students in mining engineering in the U.S. including 87 Ph.D. students. Mining Engineering department heads have identified 14 positions open in 2010 and 18 positions expected to be open in the next 5 years and an additional 21 positions open by 2020. The current survey predicts a 56% turn over in mining faculty ranks over the next 10 years but a retirement of 100% of senior faculty over 10 years. 63% of graduate students say they are interested in

  9. Bioeconomic Analysis of Pesticide Demand

    OpenAIRE

    Moffitt, L. Joe; Farnsworth, Richard L.

    1981-01-01

    The ability of insects to develop resistance to specific pesticides affects pesticide demand. However, the affect of resistance on demand cannot be observed or measured. This analysis substitutes an expression for the unobserved resistance variable in a pesticide demand model and then illustrates the model's potential by estimating demand for DDT. To arrive at the expression characterizing the unobserved resistance variable a biological resistance model is constructed then incorporated into t...

  10. PLASTIC LIMIT LOAD ANALYSIS OF DEFECTIVE PIPELINES

    Institute of Scientific and Technical Information of China (English)

    ChenGang; LiuYinghua; XuBingye

    2003-01-01

    The integrity assessment of defective pipelines represents a practically important task of structural analysis and design in various technological areas, such as oil and gas industry, power plant engineering and chemical factories. An iterative algorithm is presented for the kinematic limit analysis of 3-D rigid-perfectly plastic bodies. A numerical path scheme for radial loading is adopted to deal with complex multi-loading systems. The numerical procedure has been applied to carry out the plastic collapse analysis of pipelines with part-through slot under internal pressure, bending moment and axial force. The effects of various shapes and sizes of part-through slots on the collapse loads of pipelines are systematically investigated and evaluated. Some typical failure modes corresponding to different configurations of slots and loading forms are studied.

  11. Thermal Fatigue Analysis of Takeover Pipeline

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    This article uses the finite element analysis software ANSYS to analyze the fatigue life of the three links pipeline with different angles in the first level pipe of experimental fast reactor. The fatigue analysis is operated following the startup and shutdown process which has two load step,

  12. HMI global helioseismology data analysis pipeline

    Science.gov (United States)

    Larson, Tim; Schou, Jesper

    2011-01-01

    The HMI global helioseismology data analysis pipeline is based largely on the MDI medium-l program. All of the modules that ran in the SOI Science Support Center have been ported for use in the SDO Joint Science Operations Center (JSOC) and given greater functionality. Many errors and approximations which are present in the standard MDI pipeline have been corrected and improvements have been added. Scripts have been written to automate the submission of compute jobs to our local cluster; it is now possible to go from dopplergrams to mode parameters with the push of a button. JSOC dataseries have been created to hold all intermediate data products, timeseries, window functions, and mode parameters. Here we discuss the operation of the pipeline, the structure of the data it generates, and access to the same.

  13. Leak detection in pipelines using cepstrum analysis

    Science.gov (United States)

    Taghvaei, M.; Beck, S. B. M.; Staszewski, W. J.

    2006-02-01

    The detection and location of leaks in pipeline networks is a major problem and the reduction of these leaks has become a major priority for pipeline authorities around the world. Although the reasons for these leaks are well known, some of the current methods for locating and identifying them are either complicated or imprecise; most of them are time consuming. The work described here shows that cepstrum analysis is a viable approach to leak detection and location in pipeline networks. The method uses pressure waves caused by quickly opening and closing a solenoid valve. Due to their simplicity and robustness, transient analyses provide a plausible route towards leak detection. For this work, the time domain signals of these pressure transients were obtained using a single pressure transducer. These pressure signals were first filtered using discrete wavelets to remove the dc offset, and the low and high frequencies. They were then analysed using a cepstrum method which identified the time delay between the initial wave and its reflections. There were some features in the processed results which can be ascribed to features in the pipeline network such as junctions and pipe ends. When holes were drilled in the pipe, new peaks occurred which identified the presence of a leak in the pipeline network. When tested with holes of different sizes, the amplitude of the processed peak was seen to increase as the cube root of the leak diameter. Using this method, it is possible to identify leaks that are difficult to find by other methods as they are small in comparison with the flow through the pipe.

  14. Analysis of domino effect in pipelines.

    Science.gov (United States)

    Ramírez-Camacho, J Giovanni; Pastor, Elsa; Casal, Joaquim; Amaya-Gómez, Rafael; Muñoz-Giraldo, Felipe

    2015-11-15

    Parallel pipelines are frequently installed over long distances, due to the difficulty in creating or maintaining the required corridor. This implies that a release in one pipeline can seriously affect another one. The main risks associated with this domino effect are erosion by fluid-sand jets and the thermal action of jet fires. In this paper a survey has been performed on the accidents that have occurred, and the diverse associated domino sequences are analyzed. The probability of occurrence of domino effect is a function of the location of the hole, the jet direction and solid angle, the diameter of both pipelines and the distance between them. A mathematical model has been developed to estimate this probability. The model shows how the probability of domino effect decreases with the distance and diameter of the source pipe, and increases with the diameter of the target pipe. Its frequency can be estimated from this probability and from the frequency of the initiating pipe failure plus, in the case of jet fire impingement, the probability of ignition. The frequency of the target pipe failure thus calculated, always higher than its individual frequency, allows a more realistic risk analysis. Copyright © 2015 Elsevier B.V. All rights reserved.

  15. Automated Pipelines for Spectroscopic Analysis

    CERN Document Server

    Prieto, Carlos Allende

    2016-01-01

    The Gaia mission will have a profound impact on our understanding of the structure and dynamics of the Milky Way. Gaia is providing an exhaustive census of stellar parallaxes, proper motions, positions, colors and radial velocities, but also leaves some flaring holes in an otherwise complete data set. The radial velocities measured with the on-board high-resolution spectrograph will only reach some 10% of the full sample of stars with astrometry and photometry from the mission, and detailed chemical information will be obtained for less than 1%. Teams all over the world are organizing large-scale projects to provide complementary radial velocities and chemistry, since this can now be done very efficiently from the ground thanks to large and mid-size telescopes with a wide field-of-view and multi-object spectrographs. As a result, automated data processing is taking an ever increasing relevance, and the concept is applying to many more areas, from targeting to analysis. In this paper, I provide a quick overvie...

  16. Quantitative risk analysis preoperational of gas pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Manfredi, Carlos; Bispo, Gustavo G.; Esteves, Alvaro [Gie S.A., Buenos Aires (Argentina)

    2009-07-01

    The purpose of this analysis is to predict how it can be affected the individual risk and the public's general security due to the operation of a gas pipeline. In case that the single or social risks are considered intolerable, compared with the international standards, to be recommended measures of mitigation of the risk associated to the operation until levels that can be considered compatible with the best practices in the industry. The quantitative risk analysis calculates the probability of occurrence of an event based on the frequency of occurrence of the same one and it requires a complex mathematical treatment. The present work has as objective to develop a calculation methodology based on the previously mentioned publication. This calculation methodology is centered in defining the frequencies of occurrence of events, according to representative database of each case in study. Besides, it settles down the consequences particularly according to the considerations of each area and the different possibilities of interferences with the gas pipeline in study. For each one of the interferences a typical curve of ignition probabilities is developed in function from the distance to the pipe. (author)

  17. Optimal Control of Gas Pipelines via Infinite-Dimensional Analysis

    Science.gov (United States)

    Durgut, Ismail; Leblebiciolu, Kemal

    1996-05-01

    A general optimal control approach employing the principles of calculus of variations has been developed to determine the best operating strategies for keeping the outlet pressure of gas transmission pipelines around a predetermined value while achieving reasonable energy consumption. The method exploits analytical tools of optimal control theory. A set of partial differential equations characterizing the dynamics of gas flow through a pipeline is directly used. The necessary conditions to minimize the specific performance index come from the infinite-dimensional model. The optimization scheme has been tested on a pipeline subject to stepwise change in demand.

  18. Quantitative risk analysis in two pipelines operated by TRANSPETRO

    Energy Technology Data Exchange (ETDEWEB)

    Garcia, Claudio B. [PETROBRAS Transporte S/A (TRANSPETRO), Rio de Janeiro, RJ (Brazil); Pinho, Edson [Universidade Federal Rural do Rio de Janeiro (UFRRJ), Seropedica, RJ (Brazil); Bittencourt, Euclides [Centro Universitario FIB, Salvador , BA (Brazil)

    2009-07-01

    Transportation risk analysis techniques were used to study two pipelines operated by TRANSPETRO. The Pipeline A is for the simultaneous transportation of diesel, gasoline and LPG and comprises three parts, all of them crossing rural areas. The Pipeline B is for oil transportation and one of its ends is located in an area of a high density population. Both pipelines had their risk studied using the PHAST RISK{sup R} software and the individual risk measures, the only considered measures for license purposes for this type of studies, presented level far below the maximum tolerable levels considered. (author)

  19. Common Data Analysis Pipeline | Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    CPTAC supports analyses of the mass spectrometry raw data (mapping of spectra to peptide sequences and protein identification) for the public using a Common Data Analysis Pipeline (CDAP). The data types available on the public portal are described below. A general overview of this pipeline can be downloaded here. Mass Spectrometry Data Formats RAW (Vendor) Format

  20. Environmental analysis for pipeline gas demonstration plants

    Energy Technology Data Exchange (ETDEWEB)

    Stinton, L.H.

    1978-09-01

    The Department of Energy (DOE) has implemented programs for encouraging the development and commercialization of coal-related technologies, which include coal gasification demonstration-scale activities. In support of commercialization activities the Environmental Analysis for Pipeline Gas Demonstration Plants has been prepared as a reference document to be used in evaluating potential environmental and socioeconomic effects from construction and operation of site- and process-specific projects. Effluents and associated impacts are identified for six coal gasification processes at three contrasting settings. In general, impacts from construction of a high-Btu gas demonstration plant are similar to those caused by the construction of any chemical plant of similar size. The operation of a high-Btu gas demonstration plant, however, has several unique aspects that differentiate it from other chemical plants. Offsite development (surface mining) and disposal of large quantities of waste solids constitute important sources of potential impact. In addition, air emissions require monitoring for trace metals, polycyclic aromatic hydrocarbons, phenols, and other emissions. Potential biological impacts from long-term exposure to these emissions are unknown, and additional research and data analysis may be necessary to determine such effects. Possible effects of pollutants on vegetation and human populations are discussed. The occurrence of chemical contaminants in liquid effluents and the bioaccumulation of these contaminants in aquatic organisms may lead to adverse ecological impact. Socioeconomic impacts are similar to those from a chemical plant of equivalent size and are summarized and contrasted for the three surrogate sites.

  1. An Analysis on Limit Load for Corroded Submarine Pipelines

    Institute of Scientific and Technical Information of China (English)

    TAN Kai-ren; XIAO Xi

    2006-01-01

    By means of elastic-plastic finite element analysis, a systematic nonlinear analysis of material and geometry has been carried out for submarine pipelines. A criterion for deriving limit load is studied. Based on this criterion, the limit load for corroded submarine pipelines is calculated. The corrosion length, corrosion depth and corrosion width affect the limit load. A solution to limit load is proposed and proved valid through comparison of the solution with burst test results and ASME B31G solutions.

  2. Condition Monitoring Of Operating Pipelines With Operational Modal Analysis Application

    Directory of Open Access Journals (Sweden)

    Mironov Aleksey

    2015-12-01

    Full Text Available In the petroleum, natural gas and petrochemical industries, great attention is being paid to safety, reliability and maintainability of equipment. There are a number of technologies to monitor, control, and maintain gas, oil, water, and sewer pipelines. The paper focuses on operational modal analysis (OMA application for condition monitoring of operating pipelines. Special focus is on the topicality of OMA for definition of the dynamic features of the pipeline (frequencies and mode shapes in operation. The research was conducted using two operating laboratory models imitated a part of the operating pipeline. The results of finite-element modeling, identification of pipe natural modes and its modification under the influence of virtual failure are discussed. The work considers the results of experimental research of dynamic behavior of the operating pipe models using one of OMA techniques and comparing dynamic properties with the modeled data. The study results demonstrate sensitivity of modal shape parameters to modification of operating pipeline technical state. Two strategies of pipeline repair – with continuously condition-based monitoring with proposed technology and without such monitoring, was discussed. Markov chain reliability models for each strategy were analyzed and reliability improvement factor for proposed technology of monitoring in compare with traditional one was evaluated. It is resumed about ability of operating pipeline condition monitoring by measuring dynamic deformations of the operating pipe and OMA techniques application for dynamic properties extraction.

  3. Pipeline engineering

    CERN Document Server

    Liu, Henry

    2003-01-01

    PART I: PIPE FLOWSINTRODUCTIONDefinition and Scope Brief History of PipelinesExisting Major PipelinesImportance of PipelinesFreight (Solids) Transport by PipelinesTypes of PipelinesComponents of PipelinesAdvantages of PipelinesReferencesSINGLE-PHASE INCOMPRESSIBLE NEWTONIAN FLUIDIntroductionFlow RegimesLocal Mean Velocity and Its Distribution (Velocity Profile)Flow Equations for One-Dimensional AnalysisHydraulic and Energy Grade LinesCavitation in Pipeline SystemsPipe in Series and ParallelInterconnected ReservoirsPipe NetworkUnsteady Flow in PipeSINGLE-PHASE COMPRESSIBLE FLOW IN PIPEFlow Ana

  4. Global lateral buckling analysis of idealized subsea pipelines

    Institute of Scientific and Technical Information of China (English)

    刘润; 刘文彬; 吴新利; 闫澍旺

    2014-01-01

    In order to avoid the curing effects of paraffin on the transport process and reduce the transport difficulty, usually high temperature and high pressure are used in the transportation of oil and gas. The differences of temperature and pressure cause additional stress along the pipeline, due to the constraint of the foundation soil, the additional stress can not release freely, when the additional stress is large enough to motivate the submarine pipelines buckle. In this work, the energy method is introduced to deduce the analytical solution which is suitable for the global buckling modes of idealized subsea pipeline and analyze the relationship between the critical buckling temperature, buckling length and amplitude under different high-order global lateral buckling modes. To obtain a consistent formulation of the problem, the principles of virtual displacements and the variation calculus for variable matching points are applied. The finite element method based on elasto-plastic theory is used to simulate the lateral global buckling of the pipelines under high temperature and pressure. The factors influencing the lateral buckling of pipelines are further studied. Based upon some actual engineering projects, the finite element results are compared with the analytical ones, and then the influence of thermal stress, the section rigidity of pipeline, the soil properties and the trigging force to the high order lateral buckling are discussed. The method of applying the small trigging force on pipeline is reliable in global buckling numerical analysis. In practice, increasing the section rigidity of a pipeline is an effective measure to improve the ability to resist the global buckling.

  5. SIMPLEX: cloud-enabled pipeline for the comprehensive analysis of exome sequencing data.

    Science.gov (United States)

    Fischer, Maria; Snajder, Rene; Pabinger, Stephan; Dander, Andreas; Schossig, Anna; Zschocke, Johannes; Trajanoski, Zlatko; Stocker, Gernot

    2012-01-01

    In recent studies, exome sequencing has proven to be a successful screening tool for the identification of candidate genes causing rare genetic diseases. Although underlying targeted sequencing methods are well established, necessary data handling and focused, structured analysis still remain demanding tasks. Here, we present a cloud-enabled autonomous analysis pipeline, which comprises the complete exome analysis workflow. The pipeline combines several in-house developed and published applications to perform the following steps: (a) initial quality control, (b) intelligent data filtering and pre-processing, (c) sequence alignment to a reference genome, (d) SNP and DIP detection, (e) functional annotation of variants using different approaches, and (f) detailed report generation during various stages of the workflow. The pipeline connects the selected analysis steps, exposes all available parameters for customized usage, performs required data handling, and distributes computationally expensive tasks either on a dedicated high-performance computing infrastructure or on the Amazon cloud environment (EC2). The presented application has already been used in several research projects including studies to elucidate the role of rare genetic diseases. The pipeline is continuously tested and is publicly available under the GPL as a VirtualBox or Cloud image at http://simplex.i-med.ac.at; additional supplementary data is provided at http://www.icbi.at/exome.

  6. SIMPLEX: cloud-enabled pipeline for the comprehensive analysis of exome sequencing data.

    Directory of Open Access Journals (Sweden)

    Maria Fischer

    Full Text Available In recent studies, exome sequencing has proven to be a successful screening tool for the identification of candidate genes causing rare genetic diseases. Although underlying targeted sequencing methods are well established, necessary data handling and focused, structured analysis still remain demanding tasks. Here, we present a cloud-enabled autonomous analysis pipeline, which comprises the complete exome analysis workflow. The pipeline combines several in-house developed and published applications to perform the following steps: (a initial quality control, (b intelligent data filtering and pre-processing, (c sequence alignment to a reference genome, (d SNP and DIP detection, (e functional annotation of variants using different approaches, and (f detailed report generation during various stages of the workflow. The pipeline connects the selected analysis steps, exposes all available parameters for customized usage, performs required data handling, and distributes computationally expensive tasks either on a dedicated high-performance computing infrastructure or on the Amazon cloud environment (EC2. The presented application has already been used in several research projects including studies to elucidate the role of rare genetic diseases. The pipeline is continuously tested and is publicly available under the GPL as a VirtualBox or Cloud image at http://simplex.i-med.ac.at; additional supplementary data is provided at http://www.icbi.at/exome.

  7. Stress analysis of parallel oil and gas steel pipelines in inclined tunnels

    OpenAIRE

    Wu, Xiaonan; Lu, Hongfang; Wu, Shijuan

    2015-01-01

    Geological conditions along long distance pipelines are complex. In consideration of differences in elevation and terrain obstacles, long distance pipelines are commonly laid through tunnels. Oil and gas pipelines are often laid side by side to reduce construction costs and minimize geological impact. The layout and construction of parallel oil and gas pipelines are more complex than those of single pipelines. In order to reduce safety hazards, it is necessary to carry out stress analysis of ...

  8. ANALYSIS ON TECHNOLOGICAL PROCESSES CLEANING OIL PIPELINES

    Directory of Open Access Journals (Sweden)

    Mariana PǍTRAŞCU

    2015-05-01

    Full Text Available In this paper the researches are presented concerning the technological processes of oil pipelines.We know several technologies and materials used for cleaning the sludge deposits, iron and manganese oxides, dross, stone, etc.de on the inner walls of drinking water pipes or industries.For the oil industry, methods of removal of waste materials and waste pipes and liquid and gas transport networks are operations known long, tedious and expensive. The main methods and associated problems can be summarized as follows: 1 Blowing with compressed air.2 manual or mechanical brushing, sanding with water or dry.3 Wash with water jet of high pressure, solvent or chemical solution to remove the stone and hard deposits.4 The combined methods of cleaning machines that use water jets, cutters, chains, rotary heads cutters, etc.

  9. STRESS ANALYSIS OF THE APERTURE IN COMPOUND PIPELINE BY FEM

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    There is a cyclical aperture at a certain part of the fiberglass reinforced plastic compound pipeline with a stainless steel pipe as a liner, which becomes the weakness of the conduit. The field of stress and strain of the aperture was investigated using the nonliner finite element code Marc. The results of the finite element analysis showed that there were concentrations of stress and strain in the layer of stainless steel at the part of the pipeline where the aperture existed. The method to solve these problems was also discussed.

  10. Finite element analysis of damage in pipeline bends

    NARCIS (Netherlands)

    Swart, A.E.; Karamanos, S.A.; Scarpas, A.; Blaauwendraad, J.

    2010-01-01

    The present paper describes a numerical formulation for the analysis of damage in steel pipeline bends. In particular, the numerical implementation of Gurson plasticity model is described in the framework of a special element, referred to as “tube element”. This is a three-node element, which simula

  11. Water Pipeline Network Analysis Using Simultaneous Loop Flow ...

    African Journals Online (AJOL)

    2013-03-01

    Mar 1, 2013 ... A water pipeline network analysis with a case study of Owerri in Imo ... relatively complex problem, particularly if the ...... [11] Mason, P.R., Patterson, B.A. & Loewenson, R. (1986) “Piped water supply and Intestinal parasitism.

  12. AGAPE (Automated Genome Analysis PipelinE for pan-genome analysis of Saccharomyces cerevisiae.

    Directory of Open Access Journals (Sweden)

    Giltae Song

    Full Text Available The characterization and public release of genome sequences from thousands of organisms is expanding the scope for genetic variation studies. However, understanding the phenotypic consequences of genetic variation remains a challenge in eukaryotes due to the complexity of the genotype-phenotype map. One approach to this is the intensive study of model systems for which diverse sources of information can be accumulated and integrated. Saccharomyces cerevisiae is an extensively studied model organism, with well-known protein functions and thoroughly curated phenotype data. To develop and expand the available resources linking genomic variation with function in yeast, we aim to model the pan-genome of S. cerevisiae. To initiate the yeast pan-genome, we newly sequenced or re-sequenced the genomes of 25 strains that are commonly used in the yeast research community using advanced sequencing technology at high quality. We also developed a pipeline for automated pan-genome analysis, which integrates the steps of assembly, annotation, and variation calling. To assign strain-specific functional annotations, we identified genes that were not present in the reference genome. We classified these according to their presence or absence across strains and characterized each group of genes with known functional and phenotypic features. The functional roles of novel genes not found in the reference genome and associated with strains or groups of strains appear to be consistent with anticipated adaptations in specific lineages. As more S. cerevisiae strain genomes are released, our analysis can be used to collate genome data and relate it to lineage-specific patterns of genome evolution. Our new tool set will enhance our understanding of genomic and functional evolution in S. cerevisiae, and will be available to the yeast genetics and molecular biology community.

  13. AGAPE (Automated Genome Analysis PipelinE) for pan-genome analysis of Saccharomyces cerevisiae.

    Science.gov (United States)

    Song, Giltae; Dickins, Benjamin J A; Demeter, Janos; Engel, Stacia; Gallagher, Jennifer; Choe, Kisurb; Dunn, Barbara; Snyder, Michael; Cherry, J Michael

    2015-01-01

    The characterization and public release of genome sequences from thousands of organisms is expanding the scope for genetic variation studies. However, understanding the phenotypic consequences of genetic variation remains a challenge in eukaryotes due to the complexity of the genotype-phenotype map. One approach to this is the intensive study of model systems for which diverse sources of information can be accumulated and integrated. Saccharomyces cerevisiae is an extensively studied model organism, with well-known protein functions and thoroughly curated phenotype data. To develop and expand the available resources linking genomic variation with function in yeast, we aim to model the pan-genome of S. cerevisiae. To initiate the yeast pan-genome, we newly sequenced or re-sequenced the genomes of 25 strains that are commonly used in the yeast research community using advanced sequencing technology at high quality. We also developed a pipeline for automated pan-genome analysis, which integrates the steps of assembly, annotation, and variation calling. To assign strain-specific functional annotations, we identified genes that were not present in the reference genome. We classified these according to their presence or absence across strains and characterized each group of genes with known functional and phenotypic features. The functional roles of novel genes not found in the reference genome and associated with strains or groups of strains appear to be consistent with anticipated adaptations in specific lineages. As more S. cerevisiae strain genomes are released, our analysis can be used to collate genome data and relate it to lineage-specific patterns of genome evolution. Our new tool set will enhance our understanding of genomic and functional evolution in S. cerevisiae, and will be available to the yeast genetics and molecular biology community.

  14. Comprehensive investigation into historical pipeline construction costs and engineering economic analysis of Alaska in-state gas pipeline

    Science.gov (United States)

    Rui, Zhenhua

    This study analyzes historical cost data of 412 pipelines and 220 compressor stations. On the basis of this analysis, the study also evaluates the feasibility of an Alaska in-state gas pipeline using Monte Carlo simulation techniques. Analysis of pipeline construction costs shows that component costs, shares of cost components, and learning rates for material and labor costs vary by diameter, length, volume, year, and location. Overall average learning rates for pipeline material and labor costs are 6.1% and 12.4%, respectively. Overall average cost shares for pipeline material, labor, miscellaneous, and right of way (ROW) are 31%, 40%, 23%, and 7%, respectively. Regression models are developed to estimate pipeline component costs for different lengths, cross-sectional areas, and locations. An analysis of inaccuracy in pipeline cost estimation demonstrates that the cost estimation of pipeline cost components is biased except for in the case of total costs. Overall overrun rates for pipeline material, labor, miscellaneous, ROW, and total costs are 4.9%, 22.4%, -0.9%, 9.1%, and 6.5%, respectively, and project size, capacity, diameter, location, and year of completion have different degrees of impacts on cost overruns of pipeline cost components. Analysis of compressor station costs shows that component costs, shares of cost components, and learning rates for material and labor costs vary in terms of capacity, year, and location. Average learning rates for compressor station material and labor costs are 12.1% and 7.48%, respectively. Overall average cost shares of material, labor, miscellaneous, and ROW are 50.6%, 27.2%, 21.5%, and 0.8%, respectively. Regression models are developed to estimate compressor station component costs in different capacities and locations. An investigation into inaccuracies in compressor station cost estimation demonstrates that the cost estimation for compressor stations is biased except for in the case of material costs. Overall average

  15. 18 CFR 357.3 - FERC Form No. 73, Oil Pipeline Data for Depreciation Analysis.

    Science.gov (United States)

    2010-04-01

    ... Pipeline Data for Depreciation Analysis. 357.3 Section 357.3 Conservation of Power and Water Resources... No. 73, Oil Pipeline Data for Depreciation Analysis. (a) Who must file. Any oil pipeline company requesting new or changed depreciation rates pursuant to part 347 of this title if the proposed...

  16. Enterprise simulation analysis of the nylon jacket pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Chandra, Charu [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Nastasi, Anthony [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Powell, Dennis R. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Ostic, James K. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    1996-12-01

    The purpose of this study was to identify ways in which time and cost might be removed from the production of L. L. Bean’s® Warm-up Jacket through systems analysis and the application of supply chain management principles such as coordination and integration. The first three sections of this report provide an introduction, study objectives and a definition of generic supply chain problems as well as those specific to the Nylon Jacket Pipeline (NJP) respectively. Section four outlines the supply chain design components that should be included in any pipeline analysis including a generic architecture and methodology. In section five, results specific to the NJP analysis are documented. Finally, the last three sections include the project’s activities, deliverables, recommendations and conclusions.

  17. Practical approach on gas pipeline compression system availability analysis

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Sidney Pereira dos [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil); Kurz, Rainer; Lubomirsky, Matvey [Solar Turbines, San Diego, CA (United States)

    2009-12-19

    Gas pipeline projects traditionally have been designed based on load factor and steady state flow. This approach exposes project sponsors to project sustainability risks due to potential losses of revenues and transportation contract penalties related to pipeline capacity shortage as consequence of compressor unit's unavailability. Such unavailability should previously be quantified during the design phase. This paper presents a case study and a methodology that highlights the practical benefits of applying Monte Carlo simulation for the compression system availability analysis in conjunction with quantitative risk analysis and economic feasibility study. Project economics main variables and their impacts on the project NPV (Net Present Value) are evaluated with their respective statistics distribution to quantify risk and support decision makers to adopt mitigating measures to guarantee competitiveness while protecting project sponsors from otherwise unpredictable risks. This practical approach is compared to load factor approach and the results are presented and evaluated. (author)

  18. Policy analysis of electricity demand flexibility

    DEFF Research Database (Denmark)

    Katz, Jonas

    include a clear commitment to develop an "intelligent" energy system that utilises the flexibility potential of the demand side, a coherent policy strategy covering all aspects of the flexibility challenge has not yet been defined. By use of economic models and concepts of policy analysis, this thesis...... failures in the classic economic sense or systemic failures founded in market design, rules and regulations. The analysis covers impacts of failures stemming from incomplete markets for flexibility and inappropriate regulation that distort the observed value or risks of demand flexibility. Furthermore......, it considers various types of transaction costs related to adopting a demand response contract (switching costs) and to activation (monitoring and decision costs). The thesis develops methods to quantify the impacts of these failures and applies them in relation to the Danish case. Switching costs...

  19. An Overview of the SKA Science Analysis Pipeline

    CERN Document Server

    Hollitt, C; Dehghan, S; Frean, M; Bulter-Yeoman, T

    2016-01-01

    When completed the Square Kilometre Array (SKA) will feature an unprecedented rate of image generation. While previous generations of telescopes have relied on human expertise to extract scientifically interesting information from the images, the sheer data volume of the data will now make this impractical. Additionally, the rate at which data are accrued will not allow traditional imaging products to be stored indefinitely for later inspection meaning there is a strong imperative to discard uninteresting data in pseudo-real time. Here we outline components of the SKA science analysis pipeline being developed to produce a series of data products including continuum images, spectral cubes and Faraday depth spectra. We discuss a scheme to automatically extract value from these products and discard scientifically uninteresting data. This pipeline is thus expected to give both an increase in scientific productivity, and offers the possibility of reduced data archive size producing a considerable saving.

  20. Stress analysis of parallel oil and gas steel pipelines in inclined tunnels.

    Science.gov (United States)

    Wu, Xiaonan; Lu, Hongfang; Wu, Shijuan

    2015-01-01

    Geological conditions along long distance pipelines are complex. In consideration of differences in elevation and terrain obstacles, long distance pipelines are commonly laid through tunnels. Oil and gas pipelines are often laid side by side to reduce construction costs and minimize geological impact. The layout and construction of parallel oil and gas pipelines are more complex than those of single pipelines. In order to reduce safety hazards, it is necessary to carry out stress analysis of the oil and gas pipelines that run through tunnels. In this study, a stress analysis model of pipelines running through a tunnel was developed. On the basis of the finite element method, CAESAR II software was used to analyze the stress and displacement of a section of parallel oil and gas pipelines that run through tunnels and stress and displacement distribution laws were drawn from the analyses. A study of the factors influencing stress recommended that: (1) The buttress interval of the parallel oil and gas pipelines in a tunnel should be 12 m; (2) The angle of inclined pipelines should be no greater than 25°; (3) The stress of oil pipelines enhances more obviously than that of gas pipelines under earthquake action; (4) The average stress can be reduced by adopting "ladder" laying; and (5) Guide bend can be set at the tunnel entrance and exit in order to reduce the stress.

  1. The analysis of repeated failures of pipelines in Kal'chinskoe oil field

    Science.gov (United States)

    Shavlov, E. N.; Brusnik, O. V.; Lukjanov, V. G.

    2016-09-01

    The paper presents the chemical analysis of oilfield water and hydraulic analysis of the liquid flow in Kal'chinskoe oil field pipeline that allow detecting the causes of the internal corrosion processes. The inhibitor protection is suggested to reduce the corrosion rate in the pipelines of Kal'chinskoe oil field. Based on the analysis of the pipeline failures, it is suggested to replace steel pipes by fiberglass pipes.

  2. EST analysis pipeline: use of distributed computing resources.

    Science.gov (United States)

    González, Francisco Javier; Vizcaíno, Juan Antonio

    2011-01-01

    This chapter describes how a pipeline for the analysis of expressed sequence tag (EST) data can be -implemented, based on our previous experience generating ESTs from Trichoderma spp. We focus on key steps in the workflow, such as the processing of raw data from the sequencers, the clustering of ESTs, and the functional annotation of the sequences using BLAST, InterProScan, and BLAST2GO. Some of the steps require the use of intensive computing power. Since these resources are not available for small research groups or institutes without bioinformatics support, an alternative will be described: the use of distributed computing resources (local grids and Amazon EC2).

  3. MMAPPR: mutation mapping analysis pipeline for pooled RNA-seq.

    Science.gov (United States)

    Hill, Jonathon T; Demarest, Bradley L; Bisgrove, Brent W; Gorsi, Bushra; Su, Yi-Chu; Yost, H Joseph

    2013-04-01

    Forward genetic screens in model organisms are vital for identifying novel genes essential for developmental or disease processes. One drawback of these screens is the labor-intensive and sometimes inconclusive process of mapping the causative mutation. To leverage high-throughput techniques to improve this mapping process, we have developed a Mutation Mapping Analysis Pipeline for Pooled RNA-seq (MMAPPR) that works without parental strain information or requiring a preexisting SNP map of the organism, and adapts to differential recombination frequencies across the genome. MMAPPR accommodates the considerable amount of noise in RNA-seq data sets, calculates allelic frequency by Euclidean distance followed by Loess regression analysis, identifies the region where the mutation lies, and generates a list of putative coding region mutations in the linked genomic segment. MMAPPR can exploit RNA-seq data sets from isolated tissues or whole organisms that are used for gene expression and transcriptome analysis in novel mutants. We tested MMAPPR on two known mutant lines in zebrafish, nkx2.5 and tbx1, and used it to map two novel ENU-induced cardiovascular mutants, with mutations found in the ctr9 and cds2 genes. MMAPPR can be directly applied to other model organisms, such as Drosophila and Caenorhabditis elegans, that are amenable to both forward genetic screens and pooled RNA-seq experiments. Thus, MMAPPR is a rapid, cost-efficient, and highly automated pipeline, available to perform mutant mapping in any organism with a well-assembled genome.

  4. Focus on safety and environment : a comparative analysis of pipeline performance 2000-2005

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-03-15

    The number and frequency of various incidents that affect pipeline integrity, safety and the environment must be examined regularly in order to evaluate pipeline performance. This paper evaluated incidents at companies that are regulated by the National Energy Board (NEB) and compared pipeline performance in other jurisdictions. This constituted the fifth edition of the report and included data from January 1, 2000 to December 31, 2005. The report provided an introduction to the National Energy Board and performance indicators that were used to evaluate the safety of pipeline employees and contractors. Performance indicators were also used to evaluate the effectiveness of pipeline integrity programs and the protection of the environment during pipeline operations. Eight performance indicators were identified by the Board, grouped under the rubrics of: safety, integrity, environment and incidents. The indicators included the number of fatalities; injuries; pipeline ruptures; pipeline contacts; and liquid releases, leaks and spills. Other indicators included the volume and frequency of liquid releases, leaks and spills; number and frequency of gas releases; and, number of onshore pipeline regulations (OPR) reportable incidents. The methodology of moving averages and analysis of each of the indicators was also discussed. It was concluded that NEB-regulated pipelines performed consistently with reference organizations in Canada, the U.S. and overseas, within the limits of data comparability and that pipelines remain an efficient and safe method of transporting hydrocarbon products. refs., 21 tabs., 17 figs., 3 appendices.

  5. Demand analysis of tobacco consumption in Malaysia.

    Science.gov (United States)

    Ross, Hana; Al-Sadat, Nabilla A M

    2007-11-01

    We estimated the price and income elasticity of cigarette demand and the impact of cigarette taxes on cigarette demand and cigarette tax revenue in Malaysia. The data on cigarette consumption, cigarette prices, and public policies between 1990 and 2004 were subjected to a time-series regression analysis applying the error-correction model. The preferred cigarette demand model specification resulted in long-run and short-run price elasticities estimates of -0.57 and -0.08, respectively. Income was positively related to cigarette consumption: A 1% increase in real income increased cigarette consumption by 1.46%. The model predicted that an increase in cigarette excise tax from Malaysian ringgit (RM) 1.60 to RM2.00 per pack would reduce cigarette consumption in Malaysia by 3.37%, or by 806,468,873 cigarettes. This reduction would translate to almost 165 fewer tobacco-related lung cancer deaths per year and a 20.8% increase in the government excise tax revenue. We conclude that taxation is an effective method of reducing cigarette consumption and tobacco-related deaths while increasing revenue for the government of Malaysia.

  6. Crossing Active Faults on the Sakhalin II Onshore Pipeline Route: Pipeline Design and Risk Analysis

    Science.gov (United States)

    Mattiozzi, Pierpaolo; Strom, Alexander

    2008-07-01

    Twin oil (20 & 24 inch) and gas (20 & 48 inch) pipeline systems stretching 800 km are being constructed to connect offshore hydrocarbon deposits from the Sakhalin II concession in the North to an LNG plant and oil export terminal in the South of Sakhalin island. The onshore pipeline route follows a regional fault zone and crosses individual active faults at 19 locations. Sakhalin Energy, Design and Construction companies took significant care to ensure the integrity of the pipelines, should large seismic induced ground movements occur during the Operational life of the facilities. Complex investigations including the identification of the active faults, their precise location, their particular displacement values and assessment of the fault kinematics were carried out to provide input data for unique design solutions. Lateral and reverse offset displacements of 5.5 and 4.5 m respectively were determined as the single-event values for the design level earthquake (DLE)—the 1000-year return period event. Within the constraints of a pipeline route largely fixed, the underground pipeline fault crossing design was developed to define the optimum routing which would minimize stresses and strain using linepipe materials which had been ordered prior to the completion of detailed design, and to specify requirements for pipe trenching shape, materials, drainage system, etc. Detailed Design was performed with due regard to actual topography and to avoid the possibility of the trenches freezing in winter, the implementation of specific drainage solutions and thermal protection measures.

  7. Genome Assembly and Computational Analysis Pipelines for Bacterial Pathogens

    KAUST Repository

    Rangkuti, Farania Gama Ardhina

    2011-06-01

    Pathogens lie behind the deadliest pandemics in history. To date, AIDS pandemic has resulted in more than 25 million fatal cases, while tuberculosis and malaria annually claim more than 2 million lives. Comparative genomic analyses are needed to gain insights into the molecular mechanisms of pathogens, but the abundance of biological data dictates that such studies cannot be performed without the assistance of computational approaches. This explains the significant need for computational pipelines for genome assembly and analyses. The aim of this research is to develop such pipelines. This work utilizes various bioinformatics approaches to analyze the high-­throughput genomic sequence data that has been obtained from several strains of bacterial pathogens. A pipeline has been compiled for quality control for sequencing and assembly, and several protocols have been developed to detect contaminations. Visualization has been generated of genomic data in various formats, in addition to alignment, homology detection and sequence variant detection. We have also implemented a metaheuristic algorithm that significantly improves bacterial genome assemblies compared to other known methods. Experiments on Mycobacterium tuberculosis H37Rv data showed that our method resulted in improvement of N50 value of up to 9697% while consistently maintaining high accuracy, covering around 98% of the published reference genome. Other improvement efforts were also implemented, consisting of iterative local assemblies and iterative correction of contiguated bases. Our result expedites the genomic analysis of virulent genes up to single base pair resolution. It is also applicable to virtually every pathogenic microorganism, propelling further research in the control of and protection from pathogen-­associated diseases.

  8. Demand System Analysis of the South Korean Beef Market with the Free Trade Demand Model

    OpenAIRE

    Lee, Young-Jae; Kennedy, P. Lynn

    2008-01-01

    In this study a demand system analysis for beef in South Korea is constructed. A free trade demand system was used in which the economic welfare of market participants are maximized. Recognizing implicit discrimination about non-locally sourced beef products, this study deduces market demand equations with respect to consumer preference in order to identify the marginal effect of change consumer preference has on market demand.

  9. Optimal-control of gas-pipelines via infinite-dimensional analysis

    Energy Technology Data Exchange (ETDEWEB)

    Durgut, I. [Middle East Technical University, Ankara (Turkey). Dept. of Petroleum Engineering; Leblebicioglu, K. [Middle East Technical University, Ankara (Turkey). Dept. of Electronic and Electrical Engineering

    1996-05-15

    A general optimal control approach employing the principles of calculus of variations has been developed to determine the best operating strategies for keeping the outlet pressure of gas transmission pipelines around a predetermined value while achieving reasonable energy consumption. The method exploits analytical tools of optimal control theory. A set of partial differential equations characterizing the dynamics of gas flow through a pipeline is directly used. The necessary conditions to minimize the specific performance index come from the infinite-dimensional model. The optimization scheme has been tested on a pipeline subject to stepwise change in demand. (UK)

  10. PANGEA: pipeline for analysis of next generation amplicons.

    Science.gov (United States)

    Giongo, Adriana; Crabb, David B; Davis-Richardson, Austin G; Chauliac, Diane; Mobberley, Jennifer M; Gano, Kelsey A; Mukherjee, Nabanita; Casella, George; Roesch, Luiz F W; Walts, Brandon; Riva, Alberto; King, Gary; Triplett, Eric W

    2010-07-01

    High-throughput DNA sequencing can identify organisms and describe population structures in many environmental and clinical samples. Current technologies generate millions of reads in a single run, requiring extensive computational strategies to organize, analyze and interpret those sequences. A series of bioinformatics tools for high-throughput sequencing analysis, including pre-processing, clustering, database matching and classification, have been compiled into a pipeline called PANGEA. The PANGEA pipeline was written in Perl and can be run on Mac OSX, Windows or Linux. With PANGEA, sequences obtained directly from the sequencer can be processed quickly to provide the files needed for sequence identification by BLAST and for comparison of microbial communities. Two different sets of bacterial 16S rRNA sequences were used to show the efficiency of this workflow. The first set of 16S rRNA sequences is derived from various soils from Hawaii Volcanoes National Park. The second set is derived from stool samples collected from diabetes-resistant and diabetes-prone rats. The workflow described here allows the investigator to quickly assess libraries of sequences on personal computers with customized databases. PANGEA is provided for users as individual scripts for each step in the process or as a single script where all processes, except the chi(2) step, are joined into one program called the 'backbone'.

  11. Stress-strain analysis of pipelines laid in permafrost

    Science.gov (United States)

    Burkov, P.; Yan‘nan', Van; Burkova, S.

    2016-09-01

    Increasing reliability of pipelines becomes a real challenge at all stages: design, construction and operation of pipeline systems. It is very important to determine the behaviour of the constructed pipeline under the operational and environmental loads using the design model in accordance with that one adopted in the rules and regulations. This article presents the simulation of pipeline in permafrost. The evaluation of the stress-strain state is given herein and the areas of the stress concentration are detected with the account for different loads occurred during the pipeline operation. Information obtained from the assessment of the stress-strain state of the pipeline allows determining sections in pre-emergency state (even before damages) and take all the necessary measures for eliminating them, thus increasing the pipeline system reliability. It is shown that the most critical pipeline cross-section is observed at the point of transition from one environment to another. The maximum strains decrease the level of the pipeline reliability. The finite element model is presented to determine the pipeline sections in pre-emergency state.

  12. A finite element solver for modal analysis of multi-span offshore pipelines

    OpenAIRE

    2014-01-01

    Accurate determination of pipeline eigenfrequencies and mode shapes is essential to free span design. For pipelines resting on rough seabeds, multiple free spans are commonly located sufficiently close to be interacting, and finite element analysis (FEA) is then conventionally required to determine the modal response. In the present report, a tailor-made (specific purpose) FEA tool is developed to carry out modal analyses of multi-span offshore pipelines. The specific purpose FEA tool is thor...

  13. DDBJ read annotation pipeline: a cloud computing-based pipeline for high-throughput analysis of next-generation sequencing data.

    Science.gov (United States)

    Nagasaki, Hideki; Mochizuki, Takako; Kodama, Yuichi; Saruhashi, Satoshi; Morizaki, Shota; Sugawara, Hideaki; Ohyanagi, Hajime; Kurata, Nori; Okubo, Kousaku; Takagi, Toshihisa; Kaminuma, Eli; Nakamura, Yasukazu

    2013-08-01

    High-performance next-generation sequencing (NGS) technologies are advancing genomics and molecular biological research. However, the immense amount of sequence data requires computational skills and suitable hardware resources that are a challenge to molecular biologists. The DNA Data Bank of Japan (DDBJ) of the National Institute of Genetics (NIG) has initiated a cloud computing-based analytical pipeline, the DDBJ Read Annotation Pipeline (DDBJ Pipeline), for a high-throughput annotation of NGS reads. The DDBJ Pipeline offers a user-friendly graphical web interface and processes massive NGS datasets using decentralized processing by NIG supercomputers currently free of charge. The proposed pipeline consists of two analysis components: basic analysis for reference genome mapping and de novo assembly and subsequent high-level analysis of structural and functional annotations. Users may smoothly switch between the two components in the pipeline, facilitating web-based operations on a supercomputer for high-throughput data analysis. Moreover, public NGS reads of the DDBJ Sequence Read Archive located on the same supercomputer can be imported into the pipeline through the input of only an accession number. This proposed pipeline will facilitate research by utilizing unified analytical workflows applied to the NGS data. The DDBJ Pipeline is accessible at http://p.ddbj.nig.ac.jp/.

  14. Assessing the utility of a demand assessment for functional analysis.

    Science.gov (United States)

    Roscoe, Eileen M; Rooker, Griffin W; Pence, Sacha T; Longworth, Lynlea J

    2009-01-01

    We evaluated the utility of an assessment for identifying tasks for the functional analysis demand condition with 4 individuals who had been diagnosed with autism. During the demand assessment, a therapist presented a variety of tasks, and observers measured problem behavior and compliance to identify demands associated with low levels of compliance or high levels of problem behavior (low-probability demands) and demands associated with high levels of compliance or low levels of problem behavior (high-probability demands). Results showed that clearer functional analysis outcomes were obtained for 3 of the 4 participants when low-probability rather than high-probability demands were used.

  15. Analysis of demand for vegetable in Malaysia

    OpenAIRE

    Tey, (John) Yeong-Sheng; Shamsudin, Mad Nasir; Mohamed, Zainalabidin; Abdullah, Amin Mahir; Radam, Alias

    2008-01-01

    The market information is important in facilitating marketing system from production to the downstream. The purpose of this study is to estimate the Malaysian consumers’ demand for vegetables. By using Household Expenditure Survey 2004/05 data, demands for 6 vegetables are analyzed via a multi-stage budgeting system. The estimated demand elasticities show that the demands for all vegetables are found to increase when per capita income rises. Most of the vegetables are found to respond substa...

  16. Risk Analysis using Corrosion Rate Parameter on Gas Transmission Pipeline

    Science.gov (United States)

    Sasikirono, B.; Kim, S. J.; Haryadi, G. D.; Huda, A.

    2017-05-01

    In the oil and gas industry, the pipeline is a major component in the transmission and distribution process of oil and gas. Oil and gas distribution process sometimes performed past the pipeline across the various types of environmental conditions. Therefore, in the transmission and distribution process of oil and gas, a pipeline should operate safely so that it does not harm the surrounding environment. Corrosion is still a major cause of failure in some components of the equipment in a production facility. In pipeline systems, corrosion can cause failures in the wall and damage to the pipeline. Therefore it takes care and periodic inspections or checks on the pipeline system. Every production facility in an industry has a level of risk for damage which is a result of the opportunities and consequences of damage caused. The purpose of this research is to analyze the level of risk of 20-inch Natural Gas Transmission Pipeline using Risk-based inspection semi-quantitative based on API 581 associated with the likelihood of failure and the consequences of the failure of a component of the equipment. Then the result is used to determine the next inspection plans. Nine pipeline components were observed, such as a straight pipes inlet, connection tee, and straight pipes outlet. The risk assessment level of the nine pipeline’s components is presented in a risk matrix. The risk level of components is examined at medium risk levels. The failure mechanism that is used in this research is the mechanism of thinning. Based on the results of corrosion rate calculation, remaining pipeline components age can be obtained, so the remaining lifetime of pipeline components are known. The calculation of remaining lifetime obtained and the results vary for each component. Next step is planning the inspection of pipeline components by NDT external methods.

  17. Data analysis Pipeline for EChO end-to-end simulations

    CERN Document Server

    Waldmann, Ingo P

    2014-01-01

    Atmospheric spectroscopy of extrasolar planets is an intricate business. Atmospheric signatures typically require a photometric precision of $1 \\times 10^{-4}$ in flux over several hours. Such precision demands high instrument stability as well as an understanding of stellar variability and an optimal data reduction and removal of systematic noise. In the context of the EChO mission concept, we here discuss the data reduction and analysis pipeline developed for the EChO end-to-end simulator EChOSim. We present and discuss the step by step procedures required in order to obtain the final exoplanetary spectrum from the EChOSim`raw data' using a simulated observation of the secondary eclipse of the hot-Neptune 55 Cnc e.

  18. Frequency spectrum method-based stress analysis for oil pipelines in earthquake disaster areas.

    Directory of Open Access Journals (Sweden)

    Xiaonan Wu

    Full Text Available When a long distance oil pipeline crosses an earthquake disaster area, inertial force and strong ground motion can cause the pipeline stress to exceed the failure limit, resulting in bending and deformation failure. To date, researchers have performed limited safety analyses of oil pipelines in earthquake disaster areas that include stress analysis. Therefore, using the spectrum method and theory of one-dimensional beam units, CAESAR II is used to perform a dynamic earthquake analysis for an oil pipeline in the XX earthquake disaster area. This software is used to determine if the displacement and stress of the pipeline meet the standards when subjected to a strong earthquake. After performing the numerical analysis, the primary seismic action axial, longitudinal and horizontal displacement directions and the critical section of the pipeline can be located. Feasible project enhancement suggestions based on the analysis results are proposed. The designer is able to utilize this stress analysis method to perform an ultimate design for an oil pipeline in earthquake disaster areas; therefore, improving the safe operation of the pipeline.

  19. Analysis of input demand by smallholder cotton producers in eastern ...

    African Journals Online (AJOL)

    Analysis of input demand by smallholder cotton producers in eastern Uganda. ... price volatility, weather uncertainty and transaction costs with limited use of ... from the theory of log linear or constant elasticity form of single demand equations.

  20. Initial analysis of extragalactic fields using a new AKARI/IRC analysis pipeline

    CERN Document Server

    Davidge, H R; Pearson, C P

    2016-01-01

    We present the first results of a new data analysis pipeline for processing extragalactic AKARI/IRC images. The main improvements of the pipeline over the standard analysis are the removal of Earth shine and image distortion correction. We present the differential number counts of the AKARI/IRC S11 filter IRAC validation field. The differential number counts are consistent with S11 AKARI NEP deep and 12 microns WISE NEP number counts, and with a phenomenological backward evolution galaxy model, at brighter fluxes densities. There is a detection of deeper galaxies in the IRAC validation field.

  1. Study on the petroleum recovery technology : Analysis of pipeline flow

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Se Joon; Kim, Hyun Tae; Kim, In Kee; Huh, Dae Gee [Korea Institute of Geology Mining and Materials, Taejon (Korea)

    1998-12-01

    The petroleum exploration activities have been performed by our own technology in the concession Block VI-I in Korean continental shelf for more than 10 years. Gas and gas condensate were discovered from several exploratory wells drilled in this block. This year, the news of another hit in the well of Gorae-V was very encouraging. Different from the previous gas discoveries, the reservoir properties and the productivity of Gorea-V well were excellent and the reserve estimate was very optimistic for the gas field development in this region. Gas consumption was very rapidly increased during recent years because of the image of cleaner fuel compared with other fossil fuels and convenience of usage. Korea is the fifth country in the world in terms of total quantity of petroleum consumption. This is the reason why the secure supply of oil and gas in the future is vital to our industry. The development of gas or gas condensate reservoir is different from that of oil reservoir. Especially sales contract must be made before the initiation of gas field exploitation. The production facilities including pipeline system must be selected and designed for further consideration. In this study, we have selected the 'K' offshore gas field where the water depth is 155 m and the distance from the shore is 50 km. The main purpose of this production system analysis is to select the optimum size and capacity of production facilities including pipeline in order to find the most appropriate production schedule. Production system analysis using nodal analysis includes deliverability calculation of the reservoir, production system optimization, recoverable reserve estimation, and performance forecast of the reservoir with three different production rate scenarios. The reservoir pressure is 4525 psia and the temperature is 248 deg.F. The OGIP of this reservoir was calculated as 24.64 BCF/well and the reservoir is expected to produce for up to 10 years. The porosity is 6% and the

  2. Integrating the ODI-PPA scientific gateway with the QuickReduce pipeline for on-demand processing

    Science.gov (United States)

    Young, Michael D.; Kotulla, Ralf; Gopu, Arvind; Liu, Wilson

    2014-07-01

    As imaging systems improve, the size of astronomical data has continued to grow, making the transfer and processing of data a significant burden. To solve this problem for the WIYN Observatory One Degree Imager (ODI), we developed the ODI-Portal, Pipeline, and Archive (ODI-PPA) science gateway, integrating the data archive, data reduction pipelines, and a user portal. In this paper, we discuss the integration of the QuickReduce (QR) pipeline into PPA's Tier 2 processing framework. QR is a set of parallelized, stand-alone Python routines accessible to all users, and operators who can create master calibration products and produce standardized calibrated data, with a short turn-around time. Upon completion, the data are ingested into the archive and portal, and made available to authorized users. Quality metrics and diagnostic plots are generated and presented via the portal for operator approval and user perusal. Additionally, users can tailor the calibration process to their specific science objective(s) by selecting custom datasets, applying preferred master calibrations or generating their own, and selecting pipeline options. Submission of a QuickReduce job initiates data staging, pipeline execution, and ingestion of output data products all while allowing the user to monitor the process status, and to download or further process/analyze the output within the portal. User-generated data products are placed into a private user-space within the portal. ODI-PPA leverages cyberinfrastructure at Indiana University including the Big Red II supercomputer, the Scholarly Data Archive tape system and the Data Capacitor shared file system.

  3. Failure Analysis of a Water Supply Pumping Pipeline System

    Directory of Open Access Journals (Sweden)

    Oscar Pozos-Estrada

    2016-09-01

    Full Text Available This paper describes the most important results of a theoretical, experimental and in situ investigation developed in connection with a water supply pumping pipeline failure. This incident occurred after power failure of the pumping system that caused the burst of a prestressed concrete cylinder pipe (PCCP. Subsequently, numerous hydraulic transient simulations for different scenarios and various air pockets combinations were carried out in order to fully validate the diagnostic. As a result, it was determined that small air pocket volumes located along the pipeline profile were recognized as the direct cause of the PCCP rupture. Further, a detail survey of the pipeline was performed using a combination of non-destructive technologies in order to determine if immediate intervention was required to replace PCC pipes. In addition, a hydraulic model was employed to analyze the behavior of air pockets located at high points of the pipeline.

  4. Complexity Analysis of Pipeline Mapping Problems in Distributed Heterogeneous Networks

    OpenAIRE

    Gu, Yi; Wu, Qishi; Zhu, Mengxia; Nageswara S. V. Rao

    2009-01-01

    Largescale scientific applications require using various system resources to execute complex computing pipelines in distributed networks to support collaborative research. System resources are typically shared in the Internet or over dedicated connections based on their location, availability, capability, and capacity. Optimizing the network performance of computing pipelines in such distributed environments is critical to the success of these applications.We consider two types of largescale ...

  5. Assessment of pipeline stability in the Gulf of Mexico during hurricanes using dynamic analysis

    Directory of Open Access Journals (Sweden)

    Yinghui Tian

    2015-03-01

    Full Text Available Pipelines are the critical link between major offshore oil and gas developments and the mainland. Any inadequate on-bottom stability design could result in disruption and failure, having a devastating impact on the economy and environment. Predicting the stability behavior of offshore pipelines in hurricanes is therefore vital to the assessment of both new design and existing assets. The Gulf of Mexico has a very dense network of pipeline systems constructed on the seabed. During the last two decades, the Gulf of Mexico has experienced a series of strong hurricanes, which have destroyed, disrupted and destabilized many pipelines. This paper first reviews some of these engineering cases. Following that, three case studies are retrospectively simulated using an in-house developed program. The study utilizes the offshore pipeline and hurricane details to conduct a Dynamic Lateral Stability analysis, with the results providing evidence as to the accuracy of the modeling techniques developed.

  6. Analysis of integrity and risk for onshore pipelines; Analise de integridade e risco para dutos onshore

    Energy Technology Data Exchange (ETDEWEB)

    Lima, Marco Aurelio [Det Norske Veritas (DNV), Rio de Janeiro, RJ (Brazil)

    2008-07-01

    The increasing expansion of the oil and gas industry in Brazil, the current legal requirements relating to security, health and environment in the industrial installations, is necessary that the companies, responsible by the operation of pipelines for oil and gas transport, adopt efficient techniques to assure the operational continuity of these of trustworthy form and insurance. To fulfill this important function it is important that the companies implement a management program to control and register the integrity of the pipelines during the all operational life cycle. Inside of this context of management of the integrity of pipelines, the DNV developed the software ORBIT Pipeline with the intention to serve as an important tool to monitor the technique and security condition of the pipeline, to define the frequency and content technician of the inspection program and to recommend the work of intervention or repair in pipeline when necessary. Additionally to these activities that are carried through directly in the ORBIT Pipeline, also an evaluation of the activity of third part and the land/soil movement is made inside of the systematic for analysis of integrity and risk for onshore pipelines performed by DNV. (author)

  7. Accuracy analysis of TDRSS demand forecasts

    Science.gov (United States)

    Stern, Daniel C.; Levine, Allen J.; Pitt, Karl J.

    1994-01-01

    This paper reviews Space Network (SN) demand forecasting experience over the past 16 years and describes methods used in the forecasts. The paper focuses on the Single Access (SA) service, the most sought-after resource in the Space Network. Of the ten years of actual demand data available, only the last five years (1989 to 1993) were considered predictive due to the extensive impact of the Challenger accident of 1986. NASA's Space Network provides tracking and communications services to user spacecraft such as the Shuttle and the Hubble Space Telescope. Forecasting the customer requirements is essential to planning network resources and to establishing service commitments to future customers. The lead time to procure Tracking and Data Relay Satellites (TDRS's) requires demand forecasts ten years in the future a planning horizon beyond the funding commitments for missions to be supported. The long range forecasts are shown to have had a bias toward underestimation in the 1991 -1992 period. The trend of underestimation can be expected to be replaced by overestimation for a number of years starting with 1998. At that time demand from new missions slated for launch will be larger than the demand from ongoing missions, making the potential for delay the dominant factor. If the new missions appear as scheduled, the forecasts are likely to be moderately underestimated. The SN commitment to meet the negotiated customer's requirements calls for conservatism in the forecasting. Modification of the forecasting procedure to account for a delay bias is, therefore, not advised. Fine tuning the mission model to more accurately reflect the current actual demand is recommended as it may marginally improve the first year forecasting.

  8. Optimal energy consumption analysis of natural gas pipeline.

    Science.gov (United States)

    Liu, Enbin; Li, Changjun; Yang, Yi

    2014-01-01

    There are many compressor stations along long-distance natural gas pipelines. Natural gas can be transported using different boot programs and import pressures, combined with temperature control parameters. Moreover, different transport methods have correspondingly different energy consumptions. At present, the operating parameters of many pipelines are determined empirically by dispatchers, resulting in high energy consumption. This practice does not abide by energy reduction policies. Therefore, based on a full understanding of the actual needs of pipeline companies, we introduce production unit consumption indicators to establish an objective function for achieving the goal of lowering energy consumption. By using a dynamic programming method for solving the model and preparing calculation software, we can ensure that the solution process is quick and efficient. Using established optimization methods, we analyzed the energy savings for the XQ gas pipeline. By optimizing the boot program, the import station pressure, and the temperature parameters, we achieved the optimal energy consumption. By comparison with the measured energy consumption, the pipeline now has the potential to reduce energy consumption by 11 to 16 percent.

  9. Development of two-phase pipeline hydraulic analysis model based on Beggs-Brill correlation

    Science.gov (United States)

    Waluyo, Joko; Hermawan, Achilleus; Indarto

    2016-06-01

    The hydraulic analysis is an important stage in a reliable pipeline design. In the implementation, fluid distribution from a source to the sinks often occurs on parallel pipeline networks. The solution to the problem is complicated because of the iterative technique requirement. Regarding its solution effectiveness, there is a need for analysis related to the model and the solution method. This study aims to investigate pipeline hydraulic analysis on distributing of two-phase fluids flow. The model uses Beggs-Brill correlation to converse mass flow rates into pressure drops. In the solution technique, the Newton-Raphson iterative method is utilized. The iterative technique is solved using a computer program. The study is carried out using a certain pipeline network. The model is validated by comparing between Beggs-Brill towards Mukherjee-Brill correlation. The result reveals that the computer program enables solving of iterative calculation on the parallel pipeline hydraulic analysis. Convergence iteration is achieved by 50 iterations. The main results of the model are mass flow rate and pressure drop. The mass flow rate is obtained in the deviation up to 2.06%, between Beggs-Brill and Mukherjee-Brill correlation. On the other hand, the pressure gradient deviation is achieved on a higher deviation due to the different approach of the two correlations. The model can be further developed in the hydraulic pipeline analysis for two-phase flow.

  10. Estimating demand schedules in hedonic analysis

    DEFF Research Database (Denmark)

    Panduro, Toke Emil; Jensen, Cathrine Ulla; Lundhede, Thomas;

    The hedonic pricing method has been used extensively to obtain implicit prices for availability of urban green space, but few hedonic studies have obtained households’ preference parameters. We estimate willingness to pay functions for park availability in Copenhagen using an approach that places...... an alternative path for estimation of demand schedules for public goods using hedonic data. The findings also stress the importance of paying attention to how public goods are defined when undertaking welfare economic policy analyses....

  11. Low-latency analysis pipeline for compact binary coalescences in the advanced gravitational wave detector era

    CERN Document Server

    Adams, T; Germain, V; Guidi, G M; Marion, F; Montani, M; Mours, B; Piergiovanni, F; Wang, G

    2015-01-01

    The Multi-Band Template Analysis (MBTA) pipeline is a low-latency coincident analysis pipeline for the detection of gravitational waves (GWs) from compact binary coalescences (CBCs). MBTA runs with a low computational cost, and can identify candidate GW events online with a sub-minute latency. The low computational running cost of MBTA also makes it useful for data quality studies. Events detected by MBTA online can be used to alert astronomical partners for electromagnetic (EM) follow-up. We outline the current status of MBTA and give details of recent pipeline upgrades and validation tests that were performed in preparation for the first advanced detector observing period. The MBTA pipeline is ready for the outset of the advanced detector era and the exciting prospects it will bring.

  12. Low-latency analysis pipeline for compact binary coalescences in the advanced gravitational wave detector era

    Science.gov (United States)

    Adams, T.; Buskulic, D.; Germain, V.; Guidi, G. M.; Marion, F.; Montani, M.; Mours, B.; Piergiovanni, F.; Wang, G.

    2016-09-01

    The multi-band template analysis (MBTA) pipeline is a low-latency coincident analysis pipeline for the detection of gravitational waves (GWs) from compact binary coalescences. MBTA runs with a low computational cost, and can identify candidate GW events online with a sub-minute latency. The low computational running cost of MBTA also makes it useful for data quality studies. Events detected by MBTA online can be used to alert astronomical partners for electromagnetic follow-up. We outline the current status of MBTA and give details of recent pipeline upgrades and validation tests that were performed in preparation for the first advanced detector observing period. The MBTA pipeline is ready for the outset of the advanced detector era and the exciting prospects it will bring.

  13. MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis.

    Science.gov (United States)

    Moyer, Eric; Hagenauer, Megan; Lesko, Matthew; Francis, Felix; Rodriguez, Oscar; Nagarajan, Vijayaraj; Huser, Vojtech; Busby, Ben

    2016-01-01

    Network analysis can make variant analysis better. There are existing tools like HotNet2 and dmGWAS that can provide various analytical methods. We developed a prototype of a pipeline called MetaNetVar that allows execution of multiple tools. The code is published at https://github.com/NCBI-Hackathons/Network_SNPs. A working prototype is published as an Amazon Machine Image - ami-4510312f .

  14. FEM analysis of impact of external objects to pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Gracie, Robert; Konuk, Ibrahim [Geological Survey of Canada, Ottawa, ON (Canada)]. E-mail: ikonuk@NRCan.gc.ca; Fredj, Abdelfettah [BMT Fleet Technology Limited, Ottawa, ON (Canada)

    2003-07-01

    One of the most common hazards to pipelines is impact of external objects. Earth moving machinery, farm equipment or bullets can dent or fail land pipelines. External objects such as anchors, fishing gear, ice can damage offshore pipelines. This paper develops an FEM model to simulate the impact process and presents investigations using the FEM model to determine the influence of the geometry and velocity of the impacting object and also will study the influence of the pipe diameter, wall thickness, and concrete thickness along with internal pressure. The FEM model is developed by using LS-DYNA explicit FEM software utilizing shell and solid elements. The model allows damage and removal of the concrete and corrosion coating elements during impact. Parametric studies will be presented relating the dent size to pipe diameter, wall thickness and concrete thickness, internal pipe pressure, and impacting object geometry. The primary objective of this paper is to develop and present the FEM model. The model can be applied to both offshore and land pipeline problems. Some examples are used to illustrate how the model can be applied to real life problems. A future paper will present more detailed parametric studies. (author)

  15. A De Novo-Assembly Based Data Analysis Pipeline for Plant Obligate Parasite Metatranscriptomic Studies

    OpenAIRE

    Li Guo; Kelly S Allen; Greg A Deiulio; Yong Zhang; Madeiras, Angela M.; Robert L Wick; Li-Jun Ma

    2016-01-01

    Current and emerging plant diseases caused by obligate parasitic microbes such as rusts, downy mildews, and powdery mildews threaten worldwide crop production and food safety. These obligate parasites are typically unculturable in the laboratory, posing technical challenges to characterize them at the genetic and genomic level. Here we have developed a data analysis pipeline integrating several bioinformatic software programs. This pipeline facilitates rapid gene discovery and expression anal...

  16. hppRNA-a Snakemake-based handy parameter-free pipeline for RNA-Seq analysis of numerous samples.

    Science.gov (United States)

    Wang, Dapeng

    2017-01-17

    RNA-Seq technology has been gradually becoming a routine approach for characterizing the properties of transcriptome in terms of organisms, cell types and conditions and consequently a big burden has been put on the facet of data analysis, which calls for an easy-to-learn workflow to cope with the increased demands from a large number of laboratories across the world. We report a one-in-all solution called hppRNA, composed of four scenarios such as pre-mapping, core-workflow, post-mapping and sequence variation detection, written by a series of individual Perl and R scripts, counting on well-established and preinstalled software, irrespective of single-end or paired-end, unstranded or stranded sequencing method. It features six independent core-workflows comprising the state-of-the-art technology with dozens of popular cutting-edge tools such as Tophat-Cufflink-Cuffdiff, Subread-featureCounts-DESeq2, STAR-RSEM-EBSeq, Bowtie-eXpress-edgeR, kallisto-sleuth, HISAT-StringTie-Ballgown, and embeds itself in Snakemake, which is a modern pipeline management system. The core function of this pipeline is turning the raw fastq files into gene/isoform expression matrix and differentially expressed genes or isoforms as well as the identification of fusion genes, single nucleotide polymorphisms, long noncoding RNAs and circular RNAs. Last but not least, this pipeline is specifically designed for performing the systematic analysis on a huge set of samples in one go, ideally for the researchers who intend to deploy the pipeline on their local servers. The scripts as well as the user manual are freely available at https://sourceforge.net/projects/hpprna/. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  17. Green pipeline dreams; Gruene Pipeline-Traeume

    Energy Technology Data Exchange (ETDEWEB)

    Wiedemann, Karsten

    2010-11-15

    In theory, Germany and the other EU states would be able to cover their natural gas demand completely with pipeline-supplied biomethane. But will this be really possible in practice? The contribution takes a closer look. (orig.)

  18. Analysis of pipeline transportation systems for carbon dioxide sequestration

    Directory of Open Access Journals (Sweden)

    Witkowski Andrzej

    2014-03-01

    Full Text Available A commercially available ASPEN PLUS simulation using a pipe model was employed to determine the maximum safe pipeline distances to subsequent booster stations as a function of carbon dioxide (CO2 inlet pressure, ambient temperature and ground level heat flux parameters under three conditions: isothermal, adiabatic and with account of heat transfer. In the paper, the CO2 working area was assumed to be either in the liquid or in the supercritical state and results for these two states were compared. The following power station data were used: a 900 MW pulverized coal-fired power plant with 90% of CO2 recovered (156.43 kg/s and the monothanolamine absorption method for separating CO2 from flue gases. The results show that a subcooled liquid transport maximizes energy efficiency and minimizes the cost of CO2 transport over long distances under isothermal, adiabatic and heat transfer conditions. After CO2 is compressed and boosted to above 9 MPa, its temperature is usually higher than ambient temperature. The thermal insulation layer slows down the CO2 temperature decrease process, increasing the pressure drop in the pipeline. Therefore in Poland, considering the atmospheric conditions, the thermal insulation layer should not be laid on the external surface of the pipeline.

  19. Analysis of pipeline transportation systems for carbon dioxide sequestration

    Science.gov (United States)

    Witkowski, Andrzej; Majkut, Mirosław; Rulik, Sebastian

    2014-03-01

    A commercially available ASPEN PLUS simulation using a pipe model was employed to determine the maximum safe pipeline distances to subsequent booster stations as a function of carbon dioxide (CO2) inlet pressure, ambient temperature and ground level heat flux parameters under three conditions: isothermal, adiabatic and with account of heat transfer. In the paper, the CO2 working area was assumed to be either in the liquid or in the supercritical state and results for these two states were compared. The following power station data were used: a 900 MW pulverized coal-fired power plant with 90% of CO2 recovered (156.43 kg/s) and the monothanolamine absorption method for separating CO2 from flue gases. The results show that a subcooled liquid transport maximizes energy efficiency and minimizes the cost of CO2 transport over long distances under isothermal, adiabatic and heat transfer conditions. After CO2 is compressed and boosted to above 9 MPa, its temperature is usually higher than ambient temperature. The thermal insulation layer slows down the CO2 temperature decrease process, increasing the pressure drop in the pipeline. Therefore in Poland, considering the atmospheric conditions, the thermal insulation layer should not be laid on the external surface of the pipeline.

  20. Analysis Of Demand For Informal And Formal Credit Among Small ...

    African Journals Online (AJOL)

    Analysis Of Demand For Informal And Formal Credit Among Small Scale Cassava ... The result of ordinary least square regression model revealed that farm size ... Thus, formal credit market reform in the form of favourable interest rate to ...

  1. Development and Demand Analysis of Convention and Exhibition Industry Standardization

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    This article points out the necessity and urgency of accelerating convention and exhibition industrial standardization on the basis of an analysis of the industry demands, developing tendencies, and existing problems during development.

  2. A De Novo-Assembly Based Data Analysis Pipeline for Plant Obligate Parasite Metatranscriptomic Studies.

    Science.gov (United States)

    Guo, Li; Allen, Kelly S; Deiulio, Greg; Zhang, Yong; Madeiras, Angela M; Wick, Robert L; Ma, Li-Jun

    2016-01-01

    Current and emerging plant diseases caused by obligate parasitic microbes such as rusts, downy mildews, and powdery mildews threaten worldwide crop production and food safety. These obligate parasites are typically unculturable in the laboratory, posing technical challenges to characterize them at the genetic and genomic level. Here we have developed a data analysis pipeline integrating several bioinformatic software programs. This pipeline facilitates rapid gene discovery and expression analysis of a plant host and its obligate parasite simultaneously by next generation sequencing of mixed host and pathogen RNA (i.e., metatranscriptomics). We applied this pipeline to metatranscriptomic sequencing data of sweet basil (Ocimum basilicum) and its obligate downy mildew parasite Peronospora belbahrii, both lacking a sequenced genome. Even with a single data point, we were able to identify both candidate host defense genes and pathogen virulence genes that are highly expressed during infection. This demonstrates the power of this pipeline for identifying genes important in host-pathogen interactions without prior genomic information for either the plant host or the obligate biotrophic pathogen. The simplicity of this pipeline makes it accessible to researchers with limited computational skills and applicable to metatranscriptomic data analysis in a wide range of plant-obligate-parasite systems.

  3. A de-novo-assembly-based Data Analysis Pipeline for Plant Obligate Parasite Metatranscriptomic Studies

    Directory of Open Access Journals (Sweden)

    Li Guo

    2016-07-01

    Full Text Available Current and emerging plant diseases caused by obligate parasitic microbes such as rusts, downy mildews, and powdery mildews threaten worldwide crop production and food safety. These obligate parasites are typically unculturable in the laboratory, posing technical challenges to characterize them at the genetic and genomic level. Here we have developed a data analysis pipeline integrating several bioinformatic software programs. This pipeline facilitates rapid gene discovery and expression analysis of a plant host and its obligate parasite simultaneously by next generation sequencing of mixed host and pathogen RNA (i.e. metatranscriptomics. We applied this pipeline to metatranscriptomic sequencing data of sweet basil (Ocimum basilicum and its obligate downy mildew parasite Peronospora belbahrii, both lacking a sequenced genome. Even with a single data point, we were able to identify both candidate host defense genes and pathogen virulence genes that are highly expressed during infection. This demonstrates the power of this pipeline for identifying genes important in host-pathogen interactions without prior genomic information for either the plant host or the obligate biotrophic pathogen. The simplicity of this pipeline makes it accessible to researchers with limited computational skills and applicable to metatranscriptomic data analysis in a wide range of plant-obligate-parasite systems.

  4. A De Novo-Assembly Based Data Analysis Pipeline for Plant Obligate Parasite Metatranscriptomic Studies

    Science.gov (United States)

    Guo, Li; Allen, Kelly S.; Deiulio, Greg; Zhang, Yong; Madeiras, Angela M.; Wick, Robert L.; Ma, Li-Jun

    2016-01-01

    Current and emerging plant diseases caused by obligate parasitic microbes such as rusts, downy mildews, and powdery mildews threaten worldwide crop production and food safety. These obligate parasites are typically unculturable in the laboratory, posing technical challenges to characterize them at the genetic and genomic level. Here we have developed a data analysis pipeline integrating several bioinformatic software programs. This pipeline facilitates rapid gene discovery and expression analysis of a plant host and its obligate parasite simultaneously by next generation sequencing of mixed host and pathogen RNA (i.e., metatranscriptomics). We applied this pipeline to metatranscriptomic sequencing data of sweet basil (Ocimum basilicum) and its obligate downy mildew parasite Peronospora belbahrii, both lacking a sequenced genome. Even with a single data point, we were able to identify both candidate host defense genes and pathogen virulence genes that are highly expressed during infection. This demonstrates the power of this pipeline for identifying genes important in host–pathogen interactions without prior genomic information for either the plant host or the obligate biotrophic pathogen. The simplicity of this pipeline makes it accessible to researchers with limited computational skills and applicable to metatranscriptomic data analysis in a wide range of plant-obligate-parasite systems. PMID:27462318

  5. Analysis of energy and utility service demands

    Energy Technology Data Exchange (ETDEWEB)

    1978-10-01

    The collection, analysis, and review of existing data on a community's service requirements are documented. The research focused on the analysis of energy-using activities including both micro activities such as space heating, cooking, lighting, and transportation; and macro activities such as providing shelter, health care, education, etc. The technical report describes the analytical framework developed for community description; describes an indexing system by which a catalog of services can be accessed; illustrates the application of the data to an existing community; and provides ancillary information on data availability. A catalog of data is presented which includes several sets of indices which facilitate access of data using various keys. Abstracts of 48 data sources are analyzed. Each abstract includes a description and evaluation of the data, a sampling of that data, an assessment as to how that data may be applied to other analyses, and a reference where the user can secure additional data. (MCW)

  6. Inverse Transient Analysis for Classification of Wall Thickness Variations in Pipelines

    Directory of Open Access Journals (Sweden)

    Jeffrey Tuck

    2013-12-01

    Full Text Available Analysis of transient fluid pressure signals has been investigated as an alternative method of fault detection in pipeline systems and has shown promise in both laboratory and field trials. The advantage of the method is that it can potentially provide a fast and cost effective means of locating faults such as leaks, blockages and pipeline wall degradation within a pipeline while the system remains fully operational. The only requirement is that high speed pressure sensors are placed in contact with the fluid. Further development of the method requires detailed numerical models and enhanced understanding of transient flow within a pipeline where variations in pipeline condition and geometry occur. One such variation commonly encountered is the degradation or thinning of pipe walls, which can increase the susceptible of a pipeline to leak development. This paper aims to improve transient-based fault detection methods by investigating how changes in pipe wall thickness will affect the transient behaviour of a system; this is done through the analysis of laboratory experiments. The laboratory experiments are carried out on a stainless steel pipeline of constant outside diameter, into which a pipe section of variable wall thickness is inserted. In order to detect the location and severity of these changes in wall conditions within the laboratory system an inverse transient analysis procedure is employed which considers independent variations in wavespeed and diameter. Inverse transient analyses are carried out using a genetic algorithm optimisation routine to match the response from a one-dimensional method of characteristics transient model to the experimental time domain pressure responses. The accuracy of the detection technique is evaluated and benefits associated with various simplifying assumptions and simulation run times are investigated. It is found that for the case investigated, changes in the wavespeed and nominal diameter of the

  7. Inverse Transient Analysis for Classification of Wall Thickness Variations in Pipelines

    Science.gov (United States)

    Tuck, Jeffrey; Lee, Pedro

    2013-01-01

    Analysis of transient fluid pressure signals has been investigated as an alternative method of fault detection in pipeline systems and has shown promise in both laboratory and field trials. The advantage of the method is that it can potentially provide a fast and cost effective means of locating faults such as leaks, blockages and pipeline wall degradation within a pipeline while the system remains fully operational. The only requirement is that high speed pressure sensors are placed in contact with the fluid. Further development of the method requires detailed numerical models and enhanced understanding of transient flow within a pipeline where variations in pipeline condition and geometry occur. One such variation commonly encountered is the degradation or thinning of pipe walls, which can increase the susceptible of a pipeline to leak development. This paper aims to improve transient-based fault detection methods by investigating how changes in pipe wall thickness will affect the transient behaviour of a system; this is done through the analysis of laboratory experiments. The laboratory experiments are carried out on a stainless steel pipeline of constant outside diameter, into which a pipe section of variable wall thickness is inserted. In order to detect the location and severity of these changes in wall conditions within the laboratory system an inverse transient analysis procedure is employed which considers independent variations in wavespeed and diameter. Inverse transient analyses are carried out using a genetic algorithm optimisation routine to match the response from a one-dimensional method of characteristics transient model to the experimental time domain pressure responses. The accuracy of the detection technique is evaluated and benefits associated with various simplifying assumptions and simulation run times are investigated. It is found that for the case investigated, changes in the wavespeed and nominal diameter of the pipeline are both important

  8. Analysis of household energy demand in Vietnam

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen Anh Tuan; Lefevre, T. [Institut d`Economie et de Politique de l`Energie, Grenoble (France)

    1996-12-01

    An analysis of household energy consumption in four Vietnamese provinces, Hanoi, Maitay, Haihung and Vinhphu, showed that each province exhibited different energy use patterns but these differences are in a relatively narrow range within urban or rural areas. However, there are big contrasts between rural areas due to availability of resources and income. Coal accounts for 41% of the total energy consumption and fuelwood for 26%, the remainder being kerosene and agricultural residues. Energy consumption for cooking and pigfeed accounts for 91% of total energy use. Households with better incomes are tending to switch from biomass to `modern` fuels with biomass playing a limited role in most urban households. Energy used for cooking was found to increase less readily than income. 21 refs., 3 figs., 11 tabs., 1 app.

  9. Analysis of Pipeline Steel Corrosion Data From NBS (NIST) Studies Conducted Between 1922-1940 and Relevance to Pipeline Management.

    Science.gov (United States)

    Ricker, Richard E

    2010-01-01

    Between 1911 and 1984, the National Bureau of Standards (NBS) conducted a large number of corrosion studies that included the measurement of corrosion damage to samples exposed to real-world environments. One of these studies was an investigation conducted between 1922 and 1940 into the corrosion of bare steel and wrought iron pipes buried underground at 47 different sites representing different soil types across the Unites States. At the start of this study, very little was known about the corrosion of ferrous alloys underground. The objectives of this study were to determine (i) if coatings would be required to prevent corrosion, and (ii) if soil properties could be used to predict corrosion and determine when coatings would be required. While this study determined very quickly that coatings would be required for some soils, it found that the results were so divergent that even generalities based on this data must be drawn with care. The investigators concluded that so many diverse factors influence corrosion rates underground that planning of proper tests and interpretation of the results were matters of considerable difficulty and that quantitative interpretations or extrapolations could be done "only in approximate fashion" and attempted only in the "restricted area" of the tests until more complete information is available. Following the passage of the Pipeline Safety Improvement Act in 2002 and at the urging of the pipeline industry, the Office of Pipeline Safety of the U.S. Department of Transportation approached the National Institute of Standards and Technology (NBS became NIST in 1988) and requested that the data from this study be reexamined to determine if the information handling and analysis capabilities of modern computers and software could enable the extraction of more meaningful information from these data. This report is a summary of the resulting investigations. The data from the original NBS studies were analyzed using a variety of

  10. Analysis of Pipeline Steel Corrosion Data From NBS (NIST) Studies Conducted Between 1922–1940 and Relevance to Pipeline Management

    Science.gov (United States)

    Ricker, Richard E.

    2010-01-01

    Between 1911 and 1984, the National Bureau of Standards (NBS) conducted a large number of corrosion studies that included the measurement of corrosion damage to samples exposed to real-world environments. One of these studies was an investigation conducted between 1922 and 1940 into the corrosion of bare steel and wrought iron pipes buried underground at 47 different sites representing different soil types across the Unites States. At the start of this study, very little was known about the corrosion of ferrous alloys underground. The objectives of this study were to determine (i) if coatings would be required to prevent corrosion, and (ii) if soil properties could be used to predict corrosion and determine when coatings would be required. While this study determined very quickly that coatings would be required for some soils, it found that the results were so divergent that even generalities based on this data must be drawn with care. The investigators concluded that so many diverse factors influence corrosion rates underground that planning of proper tests and interpretation of the results were matters of considerable difficulty and that quantitative interpretations or extrapolations could be done “only in approximate fashion” and attempted only in the “restricted area” of the tests until more complete information is available. Following the passage of the Pipeline Safety Improvement Act in 2002 and at the urging of the pipeline industry, the Office of Pipeline Safety of the U.S. Department of Transportation approached the National Institute of Standards and Technology (NBS became NIST in 1988) and requested that the data from this study be reexamined to determine if the information handling and analysis capabilities of modern computers and software could enable the extraction of more meaningful information from these data. This report is a summary of the resulting investigations. The data from the original NBS studies were analyzed using a variety of

  11. Finite element analysis of fluid-structure interaction in buried liquid-conveying pipeline

    Institute of Scientific and Technical Information of China (English)

    朱庆杰; 陈艳华; 刘廷权; 代兆立

    2008-01-01

    Long distance buried liquid-conveying pipeline is inevitable to cross faults and under earthquake action,it is necessary to calculate fluid-structure interaction(FSI) in finite element analysis under pipe-soil interaction.Under multi-action of site,fault movement and earthquake,finite element model of buried liquid-conveying pipeline for the calculation of fluid structure interaction was constructed through combinative application of ADINA-parasolid and ADINA-native modeling methods,and the direct computing method of two-way fluid-structure coupling was introduced.The methods of solid and fluid modeling were analyzed,pipe-soil friction was defined in solid model,and special flow assumption and fluid structure interface condition were defined in fluid model.Earthquake load,gravity and displacement of fault movement were applied,also model preferences.Finite element research on the damage of buried liquid-conveying pipeline was carried out through computing fluid-structure coupling.The influences of pipe-soil friction coefficient,fault-pipe angle,and liquid density on axial stress of pipeline were analyzed,and optimum parameters were proposed for the protection of buried liquid-conveying pipeline.

  12. The PREP pipeline: standardized preprocessing for large-scale EEG analysis.

    Science.gov (United States)

    Bigdely-Shamlo, Nima; Mullen, Tim; Kothe, Christian; Su, Kyung-Min; Robbins, Kay A

    2015-01-01

    The technology to collect brain imaging and physiological measures has become portable and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging. By its nature, such data is large and complex, making automated processing essential. This paper shows how lack of attention to the very early stages of an EEG preprocessing pipeline can reduce the signal-to-noise ratio and introduce unwanted artifacts into the data, particularly for computations done in single precision. We demonstrate that ordinary average referencing improves the signal-to-noise ratio, but that noisy channels can contaminate the results. We also show that identification of noisy channels depends on the reference and examine the complex interaction of filtering, noisy channel identification, and referencing. We introduce a multi-stage robust referencing scheme to deal with the noisy channel-reference interaction. We propose a standardized early-stage EEG processing pipeline (PREP) and discuss the application of the pipeline to more than 600 EEG datasets. The pipeline includes an automatically generated report for each dataset processed. Users can download the PREP pipeline as a freely available MATLAB library from http://eegstudy.org/prepcode.

  13. Dynamic Analysis of Pig through Two and Three Dimensional Gas Pipeline

    Directory of Open Access Journals (Sweden)

    Malihe Mirshamsi

    2015-01-01

    Full Text Available This paper deals with the dynamic analysis and simulation of Pipeline Inspection Gage (PIG through the two and three dimensional gas pipelines. Continuity, momentum and the state equations are employed to achieve the gas flow parameters like density, velocity and pressure along the pipeline since the dynamic behavior of the pig depends on the flow field characteristics. Also, a differential equation which governs the dynamic behavior of the pig is derived. The pig is assumed to be a small rigid body with a bypass hole in its body. The variation of the diameter of the bypass port, which is controlled by a valve, is considered in this research. The path of the pig or geometry of the pipeline is assumed to be 2D and 3D curve. 2D and 3D simulations of the pig motion are performed individually using Rung- Kutta method and a case has been solved and discussed for each of them. The simulation results show that the derived equations are valid and effective for online estimating of the position, velocity and forces acting on the pig in gas pipelines at any time of the motion.

  14. Forecasting urban water demand: A meta-regression analysis.

    Science.gov (United States)

    Sebri, Maamar

    2016-12-01

    Water managers and planners require accurate water demand forecasts over the short-, medium- and long-term for many purposes. These range from assessing water supply needs over spatial and temporal patterns to optimizing future investments and planning future allocations across competing sectors. This study surveys the empirical literature on the urban water demand forecasting using the meta-analytical approach. Specifically, using more than 600 estimates, a meta-regression analysis is conducted to identify explanations of cross-studies variation in accuracy of urban water demand forecasting. Our study finds that accuracy depends significantly on study characteristics, including demand periodicity, modeling method, forecasting horizon, model specification and sample size. The meta-regression results remain robust to different estimators employed as well as to a series of sensitivity checks performed. The importance of these findings lies in the conclusions and implications drawn out for regulators and policymakers and for academics alike. Copyright © 2016. Published by Elsevier Ltd.

  15. Comparison of three microarray probe annotation pipelines: differences in strategies and their effect on downstream analysis

    NARCIS (Netherlands)

    Neerincx, P.B.T.; Casel, P.; Prickett, D.; Nie, H.; Watson, M.; Leunissen, J.A.M.; Groenen, M.A.M.; Klopp, C.

    2009-01-01

    Background - Reliable annotation linking oligonucleotide probes to target genes is essential for functional biological analysis of microarray experiments. We used the IMAD, OligoRAP and sigReannot pipelines to update the annotation for the ARK-Genomics Chicken 20 K array as part of a joined EADGENE/

  16. Comparison of three microarray probe annotation pipelines: differences in strategies and their effect on downstream analysis

    NARCIS (Netherlands)

    Neerincx, P.B.T.; Casel, P.; Prickett, D.; Nie, H.; Watson, M.; Leunissen, J.A.M.; Groenen, M.A.M.; Klopp, C.

    2009-01-01

    Background - Reliable annotation linking oligonucleotide probes to target genes is essential for functional biological analysis of microarray experiments. We used the IMAD, OligoRAP and sigReannot pipelines to update the annotation for the ARK-Genomics Chicken 20 K array as part of a joined EADGENE/

  17. A root cause analysis approach to risk assessment of a pipeline network for Kuwait Oil Company

    Energy Technology Data Exchange (ETDEWEB)

    Davies, Ray J.; Alfano, Tony D. [Det Norske Veritas (DNV), Rio de Janeiro, RJ (Brazil); Waheed, Farrukh [Kuwait Oil Company, Ahmadi (Kuwait); Komulainen, Tiina [Kongsberg Oil and Gas Technologies, Sandvika (Norway)

    2009-07-01

    A large scale risk assessment was performed by Det Norske Veritas (DNV) for the entire Kuwait Oil Company (KOC) pipeline network. This risk assessment was unique in that it incorporated the assessment of all major sources of process related risk faced by KOC and included root cause management system related risks in addition to technical risks related to more immediate causes. The assessment was conducted across the entire pipeline network with the scope divided into three major categories:1. Integrity Management 2. Operations 3. Management Systems Aspects of integrity management were ranked and prioritized using a custom algorithm based on critical data sets. A detailed quantitative risk assessment was then used to further evaluate those issues deemed unacceptable, and finally a cost benefit analysis approach was used to compare and select improvement options. The operations assessment involved computer modeling of the entire pipeline network to assess for bottlenecks, surge and erosion analysis, and to identify opportunities within the network that could potentially lead to increased production. The management system assessment was performed by conducting a gap analysis on the existing system and by prioritizing those improvement actions that best aligned with KOC's strategic goals for pipelines. Using a broad and three-pronged approach to their overall risk assessment, KOC achieved a thorough, root cause analysis-based understanding of risks to their system as well as a detailed list of recommended remediation measures that were merged into a 5-year improvement plan. (author)

  18. A bootstrap based analysis pipeline for efficient classification of phylogenetically related animal miRNAs

    Directory of Open Access Journals (Sweden)

    Gu Xun

    2007-03-01

    Full Text Available Abstract Background Phylogenetically related miRNAs (miRNA families convey important information of the function and evolution of miRNAs. Due to the special sequence features of miRNAs, pair-wise sequence identity between miRNA precursors alone is often inadequate for unequivocally judging the phylogenetic relationships between miRNAs. Most of the current methods for miRNA classification rely heavily on manual inspection and lack measurements of the reliability of the results. Results In this study, we designed an analysis pipeline (the Phylogeny-Bootstrap-Cluster (PBC pipeline to identify miRNA families based on branch stability in the bootstrap trees derived from overlapping genome-wide miRNA sequence sets. We tested the PBC analysis pipeline with the miRNAs from six animal species, H. sapiens, M. musculus, G. gallus, D. rerio, D. melanogaster, and C. elegans. The resulting classification was compared with the miRNA families defined in miRBase. The two classifications were largely consistent. Conclusion The PBC analysis pipeline is an efficient method for classifying large numbers of heterogeneous miRNA sequences. It requires minimum human involvement and provides measurements of the reliability of the classification results.

  19. PIPE-chipSAD: a pipeline for the analysis of high density arrays of bacterial transcriptomes

    Directory of Open Access Journals (Sweden)

    Silvia Bottini

    2016-12-01

    Full Text Available PIPE-chipSAD is a pipeline for bacterial transcriptome studies based on high-density microarray experiments. The main algorithm chipSAD, integrates the analysis of the hybridization signal with the genomic position of probes and identifies portions of the genome transcribing for mRNAs. The pipeline includes a procedure, align-chipSAD, to build a multiple alignment of transcripts originating in the same locus in multiple experiments and provides a method to compare mRNA expression across different conditions. Finally, the pipeline includes anno-chipSAD a method to annotate the detected transcripts in comparison to the genome annotation. Overall, our pipeline allows transcriptional profile analysis of both coding and non-coding portions of the chromosome in a single framework. Importantly, due to its versatile characteristics, it will be of wide applicability to analyse, not only microarray signals, but also data from other high throughput technologies such as RNA-sequencing.The current PIPE-chipSAD implementation is written in Python programming language and is freely available at https://github.com/silviamicroarray/chipSAD.

  20. APOSTL: An Interactive Galaxy Pipeline for Reproducible Analysis of Affinity Proteomics Data.

    Science.gov (United States)

    Kuenzi, Brent M; Borne, Adam L; Li, Jiannong; Haura, Eric B; Eschrich, Steven A; Koomen, John M; Rix, Uwe; Stewart, Paul A

    2016-12-02

    With continuously increasing scale and depth of coverage in affinity proteomics (AP-MS) data, the analysis and visualization is becoming more challenging. A number of tools have been developed to identify high-confidence interactions; however, a cohesive and intuitive pipeline for analysis and visualization is still needed. Here we present Automated Processing of SAINT Templated Layouts (APOSTL), a freely available Galaxy-integrated software suite and analysis pipeline for reproducible, interactive analysis of AP-MS data. APOSTL contains a number of tools woven together using Galaxy workflows, which are intuitive for the user to move from raw data to publication-quality figures within a single interface. APOSTL is an evolving software project with the potential to customize individual analyses with additional Galaxy tools and widgets using the R web application framework, Shiny. The source code, data, and documentation are freely available from GitHub ( https://github.com/bornea/APOSTL ) and other sources.

  1. Fuzzy Reliability Analysis for Seabed Oil-Gas Pipeline Networks Under Earthquakes

    Institute of Scientific and Technical Information of China (English)

    刘震; 潘斌

    2003-01-01

    The seabed oil-gas pipeline network is simplified to a network w i th stochastic edge-weight by means of the fuzzy graphics theory. With the help o f network analysis, fuzzy mathematics, and stochastic theory, the problem of rel iability analysis for the seabed oil-gas pipeline network under earthquakes is t ransformed into the calculation of the transitive closure of fuzzy matrix of the stochastic fuzzy network. In classical network reliability analysis, the node i s supposed to be non-invalidated; in this paper, this premise is modified by in t roducing a disposal method which has taken the possible invalidated node into a ccount. A good result is obtained by use of the Monte Carlo simulation analysis.

  2. VirusSeeker, a computational pipeline for virus discovery and virome composition analysis.

    Science.gov (United States)

    Zhao, Guoyan; Wu, Guang; Lim, Efrem S; Droit, Lindsay; Krishnamurthy, Siddharth; Barouch, Dan H; Virgin, Herbert W; Wang, David

    2017-03-01

    The advent of Next Generation Sequencing (NGS) has vastly increased our ability to discover novel viruses and to systematically define the spectrum of viruses present in a given specimen. Such studies have led to the discovery of novel viral pathogens as well as broader associations of the virome with diverse diseases including inflammatory bowel disease, severe acute malnutrition and HIV/AIDS. Critical to the success of these efforts are robust bioinformatic pipelines for rapid classification of microbial sequences. Existing computational tools are typically focused on either eukaryotic virus discovery or virome composition analysis but not both. Here we present VirusSeeker, a BLAST-based NGS data analysis pipeline designed for both purposes. VirusSeeker has been successfully applied in several previously published virome studies. Here we demonstrate the functionality of VirusSeeker in both novel virus discovery and virome composition analysis.

  3. A Description of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Common Data Analysis Pipeline.

    Science.gov (United States)

    Rudnick, Paul A; Markey, Sanford P; Roth, Jeri; Mirokhin, Yuri; Yan, Xinjian; Tchekhovskoi, Dmitrii V; Edwards, Nathan J; Thangudu, Ratna R; Ketchum, Karen A; Kinsinger, Christopher R; Mesri, Mehdi; Rodriguez, Henry; Stein, Stephen E

    2016-03-01

    The Clinical Proteomic Tumor Analysis Consortium (CPTAC) has produced large proteomics data sets from the mass spectrometric interrogation of tumor samples previously analyzed by The Cancer Genome Atlas (TCGA) program. The availability of the genomic and proteomic data is enabling proteogenomic study for both reference (i.e., contained in major sequence databases) and nonreference markers of cancer. The CPTAC laboratories have focused on colon, breast, and ovarian tissues in the first round of analyses; spectra from these data sets were produced from 2D liquid chromatography-tandem mass spectrometry analyses and represent deep coverage. To reduce the variability introduced by disparate data analysis platforms (e.g., software packages, versions, parameters, sequence databases, etc.), the CPTAC Common Data Analysis Platform (CDAP) was created. The CDAP produces both peptide-spectrum-match (PSM) reports and gene-level reports. The pipeline processes raw mass spectrometry data according to the following: (1) peak-picking and quantitative data extraction, (2) database searching, (3) gene-based protein parsimony, and (4) false-discovery rate-based filtering. The pipeline also produces localization scores for the phosphopeptide enrichment studies using the PhosphoRS program. Quantitative information for each of the data sets is specific to the sample processing, with PSM and protein reports containing the spectrum-level or gene-level ("rolled-up") precursor peak areas and spectral counts for label-free or reporter ion log-ratios for 4plex iTRAQ. The reports are available in simple tab-delimited formats and, for the PSM-reports, in mzIdentML. The goal of the CDAP is to provide standard, uniform reports for all of the CPTAC data to enable comparisons between different samples and cancer types as well as across the major omics fields.

  4. TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline.

    Directory of Open Access Journals (Sweden)

    Jeffrey C Glaubitz

    Full Text Available Genotyping by sequencing (GBS is a next generation sequencing based method that takes advantage of reduced representation to enable high throughput genotyping of large numbers of individuals at a large number of SNP markers. The relatively straightforward, robust, and cost-effective GBS protocol is currently being applied in numerous species by a large number of researchers. Herein we describe a bioinformatics pipeline, TASSEL-GBS, designed for the efficient processing of raw GBS sequence data into SNP genotypes. The TASSEL-GBS pipeline successfully fulfills the following key design criteria: (1 Ability to run on the modest computing resources that are typically available to small breeding or ecological research programs, including desktop or laptop machines with only 8-16 GB of RAM, (2 Scalability from small to extremely large studies, where hundreds of thousands or even millions of SNPs can be scored in up to 100,000 individuals (e.g., for large breeding programs or genetic surveys, and (3 Applicability in an accelerated breeding context, requiring rapid turnover from tissue collection to genotypes. Although a reference genome is required, the pipeline can also be run with an unfinished "pseudo-reference" consisting of numerous contigs. We describe the TASSEL-GBS pipeline in detail and benchmark it based upon a large scale, species wide analysis in maize (Zea mays, where the average error rate was reduced to 0.0042 through application of population genetic-based SNP filters. Overall, the GBS assay and the TASSEL-GBS pipeline provide robust tools for studying genomic diversity.

  5. Nord stream: not just a pipeline. An analysis of the political debates in the Baltic Sea region regarding the planned gas pipeline from Russia to Germany

    Energy Technology Data Exchange (ETDEWEB)

    Whist, Bendik Solum

    2008-11-15

    This report is an analysis of the planned gas pipeline from Russia to Germany through the Baltic Sea known as Nord Stream. Although not yet realised, the project has, since its birth, been the subject of harsh criticism and opposition by a significant number of states that consider themselves affected by the pipeline. Whereas the Baltic States and Poland have interpreted the pipeline as a politically motivated strategy that will increase Russia's leverage on them and threaten their energy security, the debate in Sweden was at first mostly concerned with the prospect of increased Russian military presence in the Swedish Exclusive Economic Zone. The potential environmental impact of the pipeline has been, and continues to be, an overarching concern shared by all the littoral states of the Baltic Sea. Proponents of Nord Stream, most notably Germany, Russia and the Nord Stream consortium, have largely dismissed the concerns as unwarranted and argue that the pipeline is a common European project that all EU-members should embrace, as it will provide much-needed gas to an increasingly energy-thirsty union. This report is an extensive study of the divergent attitudes and debates that have surged in the region regarding Nord Stream, and the aim is to provide plausible explanations as to why the interpretations of the project have been so different in the various states. The report is based on a variety of sources, including several first-hand interviews with researchers and government officials in the Baltic Sea region. (author). refs.,fig.,tabs

  6. X-Pipeline: An analysis package for autonomous gravitational-wave burst searches

    CERN Document Server

    Sutton, Patrick J; Chatterji, Shourov; Kalmus, Peter Michael; Leonor, Isabel; Poprocki, Stephen; Rollins, Jameson; Searle, Antony; Stein, Leo; Tinto, Massimo; Was, Michal

    2009-01-01

    Autonomous gravitational-wave searches -- fully automated analyses of data that run without human intervention or assistance -- are desirable for a number of reasons. They are necessary for the rapid identification of gravitational-wave burst candidates, which in turn will allow for follow-up observations by other observatories and the maximum exploitation of their scientific potential. A fully automated analysis would also circumvent the traditional "by hand" setup and tuning of burst searches that is both labourious and time consuming. We demonstrate a fully automated search with X-Pipeline, a software package for the coherent analysis of data from networks of interferometers for detecting bursts associated with GRBs and other astrophysical triggers. We discuss the methods X-Pipeline uses for automated running, including background estimation, efficiency studies, unbiased optimal tuning of search thresholds, and prediction of upper limits. These are all done automatically via Monte Carlo with multiple indep...

  7. Ninja data analysis with a detection pipeline based on the Hilbert-Huang Transform

    CERN Document Server

    Stroeer, Alexander

    2009-01-01

    The Ninja data analysis challenge allowed the study of the sensitivity of data analysis pipelines to binary black hole numerical relativity waveforms in simulated Gaussian noise at the design level of the LIGO observatory and the VIRGO observatory. We analyzed NINJA data with a pipeline based on the Hilbert Huang Transform, utilizing a detection stage and a characterization stage: detection is performed by triggering on excess instantaneous power, characterization is performed by displaying the kernel density enhanced (KD) time-frequency trace of the signal. Using the simulated data based on the two LIGO detectors, we were able to detect 77 signals out of 126 above SNR 5 in coincidence, with 43 missed events characterized by signal to noise ratio SNR less than 10. Characterization of the detected signals revealed the merger part of the waveform in high time and frequency resolution, free from time-frequency uncertainty. We estimated the timelag of the signals between the detectors based on the optimal overlap...

  8. Bridging ImmunoGenomic Data Analysis Workflow Gaps (BIGDAWG): An integrated case-control analysis pipeline.

    Science.gov (United States)

    Pappas, Derek J; Marin, Wesley; Hollenbach, Jill A; Mack, Steven J

    2016-03-01

    Bridging ImmunoGenomic Data-Analysis Workflow Gaps (BIGDAWG) is an integrated data-analysis pipeline designed for the standardized analysis of highly-polymorphic genetic data, specifically for the HLA and KIR genetic systems. Most modern genetic analysis programs are designed for the analysis of single nucleotide polymorphisms, but the highly polymorphic nature of HLA and KIR data require specialized methods of data analysis. BIGDAWG performs case-control data analyses of highly polymorphic genotype data characteristic of the HLA and KIR loci. BIGDAWG performs tests for Hardy-Weinberg equilibrium, calculates allele frequencies and bins low-frequency alleles for k×2 and 2×2 chi-squared tests, and calculates odds ratios, confidence intervals and p-values for each allele. When multi-locus genotype data are available, BIGDAWG estimates user-specified haplotypes and performs the same binning and statistical calculations for each haplotype. For the HLA loci, BIGDAWG performs the same analyses at the individual amino-acid level. Finally, BIGDAWG generates figures and tables for each of these comparisons. BIGDAWG obviates the error-prone reformatting needed to traffic data between multiple programs, and streamlines and standardizes the data-analysis process for case-control studies of highly polymorphic data. BIGDAWG has been implemented as the bigdawg R package and as a free web application at bigdawg.immunogenomics.org.

  9. Development of an automated imaging pipeline for the analysis of the zebrafish larval kidney.

    Directory of Open Access Journals (Sweden)

    Jens H Westhoff

    Full Text Available The analysis of kidney malformation caused by environmental influences during nephrogenesis or by hereditary nephropathies requires animal models allowing the in vivo observation of developmental processes. The zebrafish has emerged as a useful model system for the analysis of vertebrate organ development and function, and it is suitable for the identification of organotoxic or disease-modulating compounds on a larger scale. However, to fully exploit its potential in high content screening applications, dedicated protocols are required allowing the consistent visualization of inner organs such as the embryonic kidney. To this end, we developed a high content screening compatible pipeline for the automated imaging of standardized views of the developing pronephros in zebrafish larvae. Using a custom designed tool, cavities were generated in agarose coated microtiter plates allowing for accurate positioning and orientation of zebrafish larvae. This enabled the subsequent automated acquisition of stable and consistent dorsal views of pronephric kidneys. The established pipeline was applied in a pilot screen for the analysis of the impact of potentially nephrotoxic drugs on zebrafish pronephros development in the Tg(wt1b:EGFP transgenic line in which the developing pronephros is highlighted by GFP expression. The consistent image data that was acquired allowed for quantification of gross morphological pronephric phenotypes, revealing concentration dependent effects of several compounds on nephrogenesis. In addition, applicability of the imaging pipeline was further confirmed in a morpholino based model for cilia-associated human genetic disorders associated with different intraflagellar transport genes. The developed tools and pipeline can be used to study various aspects in zebrafish kidney research, and can be readily adapted for the analysis of other organ systems.

  10. Slurry pipeline hydrostatic testing

    Energy Technology Data Exchange (ETDEWEB)

    Betinol, Roy G.; Navarro Rojas, Luis Alejandro [BRASS Chile S.A., Santiago (Chile)

    2009-07-01

    The transportation of concentrates and tailings through long distance pipeline has been proven in recent years to be the most economic, environmentally friendly and secure means of transporting of mine products. This success has led to an increase in the demand for long distance pipeline throughout the mining industry. In year 2007 alone, a total of over 500 km of pipeline has been installed in South America alone and over 800 km are in the planning stages. As more pipelines are being installed, the need to ensure its operating integrity is ever increasing. Hydrostatic testing of long distance pipeline is one of the most economical and expeditious way to proving the operational integrity of the pipe. The intent of this paper is to show the sound reasoning behind construction hydro testing and the economic benefit it presents. It will show how hydro test pressures are determined based on ASME B31.11 criteria. (author)

  11. The analysis of deviations on measured volumes between OSBRA pipeline tank farms and its customers

    Energy Technology Data Exchange (ETDEWEB)

    Kotchetkoff Neto, Andre Paulo; Kawamoto, Fabio Yoshikazu [Petrobas Transporte S.A. - Transpetro, (Brazil)

    2010-07-01

    The Sao Paulo - Brasilia pipeline (OSBRA) is a very long multi product pipeline in Brazil. It has a network of several tank farms, pump stations and truck loadings to deliver oil, gas and LPG to customers. The volume of these fuels is usually measured before delivery at two measure points. This paper reports the use of statistical tools to analyze the measurement data. The purpose was to understand the computed differences between the OSBRA tank farm installations and the customer tank farm installations. The use of statistical tools brought new insights, such as the existence of systematic error or the variability of each individual system. These tools were also used to verify the accuracy of operational measurement devices. An analysis based on in-field data was carried out between two OSBRA tank farms. This paper showed that the use of statistical tools, rather than fixed limits, can provide more precise information about measurement systems behaviors.

  12. Numerical Analysis of Deteriorated Sub-sea Pipelines under Environmental Loads

    Institute of Scientific and Technical Information of China (English)

    GÜCÜYEN Engin

    2015-01-01

    The significant point is the bidirectional interaction technique in FSI analysis while investigating subsea corrosion effect. By this way, pipe environment is accurately modelled and fluid effects are also considered. The effect of external corrosion defects on structural behaviour of a pipeline is studied by creating a nonlinear numerical model based on the finite element method according to ABAQUS analysis program. Corrosion losses of sections are obtained from experimental results and applied to the model. Numerical model is formed by a span of sub-sea pipeline that is subjected to environmental loads. Seismic and wind-generated irregular wave loads are considered as environmental loads. Irregular wave is represented with equivalent eight regular waves via FFT. The pipe is modelled according to two different types which are non-corroded(intact) and corroded (deteriorated) to demonstrate corrosion effects on it. The visible type of corrosion in marine environment is named ‘pitting’ corrosion, in which the material loss is locally interpenetrated over the surface. By considering this situation, the corroded and non-corroded pipes are modelled as 3D solid elements. The main point is revealing how the subsea corrosion affects the structural behaviour of pipelines on the basis of implementation of experimental results to a model structure due to changes of stresses and displacement.

  13. Spatial analysis in PGPB's risk administration system for pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Garcia, L.R.C.S.; Mendoza, J.L.M.; Betancourt, E.R. [Pemex Gas and Petrochemical Basics, Huasteca (Mexico); Polanco, R.P. [Petroleos Mexicanos, Huasteca (Mexico)

    2004-07-01

    Pemex Gas and Petrochemical Basics (PGPB) has been using Bass Trigon's Integrity Assessment Program (IAP) for risk administration. The software includes a risk administration system for pipelines (RASP), making it possible to identify and evaluate risks that could affect the transportation capacity of the petrochemical, liquefied petroleum gas and natural gas transmission system. The pipeline division of PGPB uses a geographic information system (GIS) called the facilities and assets information system (FAIS) for maintenance of its pipelines, as well as the design, construction and operation of pumping and compression stations. Some specific applications using the integrated FAIS and RASP system were presented to demonstrate risk assessment data analysis and their consequences. In particular, it described how PGPB used FAIS to analyse RASP data to decide if a liquefied petroleum gas terminal should change location. RASP considers over 200 variables that contribute to risk factors for external and internal corrosion, design and materials, third parties, ground movement and system operation. The spatial analysis system proved effective in supporting decision making, preventing accidents, and developing emergency plans. 4 refs., 5 tabs., 13 figs.

  14. Leakage detection in galvanized iron pipelines using ensemble empirical mode decomposition analysis

    Science.gov (United States)

    Amin, Makeen; Ghazali, M. Fairusham

    2015-05-01

    There are many numbers of possible approaches to detect leaks. Some leaks are simply noticeable when the liquids or water appears on the surface. However many leaks do not find their way to the surface and the existence has to be check by analysis of fluid flow in the pipeline. The first step is to determine the approximate position of leak. This can be done by isolate the sections of the mains in turn and noting which section causes a drop in the flow. Next approach is by using sensor to locate leaks. This approach are involves strain gauge pressure transducers and piezoelectric sensor. the occurrence of leaks and know its exact location in the pipeline by using specific method which are Acoustic leak detection method and transient method. The objective is to utilize the signal processing technique in order to analyse leaking in the pipeline. With this, an EEMD method will be applied as the analysis method to collect and analyse the data.

  15. pISTil: a pipeline for yeast two-hybrid Interaction Sequence Tags identification and analysis

    Directory of Open Access Journals (Sweden)

    de Chassey Benoît

    2009-10-01

    Full Text Available Abstract Background High-throughput screening of protein-protein interactions opens new systems biology perspectives for the comprehensive understanding of cell physiology in normal and pathological conditions. In this context, yeast two-hybrid system appears as a promising approach to efficiently reconstruct protein interaction networks at the proteome-wide scale. This protein interaction screening method generates a large amount of raw sequence data, i.e. the ISTs (Interaction Sequence Tags, which urgently need appropriate tools for their systematic and standardised analysis. Findings We develop pISTil, a bioinformatics pipeline combined with a user-friendly web-interface: (i to establish a standardised system to analyse and to annotate ISTs generated by two-hybrid technologies with high performance and flexibility and (ii to provide high-quality protein-protein interaction datasets for systems-level approach. This pipeline has been validated on a large dataset comprising more than 11.000 ISTs. As a case study, a detailed analysis of ISTs obtained from yeast two-hybrid screens of Hepatitis C Virus proteins against human cDNA libraries is also provided. Conclusion We have developed pISTil, an open source pipeline made of a collection of several applications governed by a Perl script. The pISTil pipeline is intended to laboratories, with IT-expertise in system administration, scripting and database management, willing to automatically process large amount of ISTs data for accurate reconstruction of protein interaction networks in a systems biology perspective. pISTil is publicly available for download at http://sourceforge.net/projects/pistil.

  16. On the construction of a new stellar classification template library for the LAMOST spectral analysis pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Wei, Peng; Luo, Ali; Li, Yinbi; Tu, Liangping; Wang, Fengfei; Zhang, Jiannan; Chen, Xiaoyan; Hou, Wen; Kong, Xiao; Wu, Yue; Zuo, Fang; Yi, Zhenping; Zhao, Yongheng; Chen, Jianjun; Du, Bing; Guo, Yanxin; Ren, Juanjuan [Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012 (China); Pan, Jingchang; Jiang, Bin; Liu, Jie, E-mail: lal@nao.cas.cn, E-mail: weipeng@nao.cas.cn [School of Mechanical, Electrical, and Information Engineering, Shandong University, Weihai 264209 (China); and others

    2014-05-01

    The LAMOST spectral analysis pipeline, called the 1D pipeline, aims to classify and measure the spectra observed in the LAMOST survey. Through this pipeline, the observed stellar spectra are classified into different subclasses by matching with template spectra. Consequently, the performance of the stellar classification greatly depends on the quality of the template spectra. In this paper, we construct a new LAMOST stellar spectral classification template library, which is supposed to improve the precision and credibility of the present LAMOST stellar classification. About one million spectra are selected from LAMOST Data Release One to construct the new stellar templates, and they are gathered in 233 groups by two criteria: (1) pseudo g – r colors obtained by convolving the LAMOST spectra with the Sloan Digital Sky Survey ugriz filter response curve, and (2) the stellar subclass given by the LAMOST pipeline. In each group, the template spectra are constructed using three steps. (1) Outliers are excluded using the Local Outlier Probabilities algorithm, and then the principal component analysis method is applied to the remaining spectra of each group. About 5% of the one million spectra are ruled out as outliers. (2) All remaining spectra are reconstructed using the first principal components of each group. (3) The weighted average spectrum is used as the template spectrum in each group. Using the previous 3 steps, we initially obtain 216 stellar template spectra. We visually inspect all template spectra, and 29 spectra are abandoned due to low spectral quality. Furthermore, the MK classification for the remaining 187 template spectra is manually determined by comparing with 3 template libraries. Meanwhile, 10 template spectra whose subclass is difficult to determine are abandoned. Finally, we obtain a new template library containing 183 LAMOST template spectra with 61 different MK classes by combining it with the current library.

  17. Estimation of demand function on natural gas and study of demand analysis

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Y.D. [Korea Energy Economics Institute, Euiwang (Korea, Republic of)

    1998-04-01

    Demand Function is estimated with several methods about the demand on natural gas, and analyzed per usage. Since the demand on natural gas, which has big share of heating use, has a close relationship with temperature, the inter-season trend of price and income elasticity is estimated considering temperature and economic formation. Per usage response of natural gas demand on the changes of price and income is also estimated. It was estimated that the response of gas demand on the changes of price and income occurs by the change of number of users in long term. In case of the response of unit consumption, only industrial use shows long-term response to price. Since gas price barely responds to the change of exchange rate, it seems to express the price-making mechanism that does not reflect timely the import condition such as exchange rate, etc. 16 refs., 12 figs., 13 tabs.

  18. ESTPiper – a web-based analysis pipeline for expressed sequence tags

    Directory of Open Access Journals (Sweden)

    Tang Zuojian

    2009-04-01

    Full Text Available Abstract Background EST sequencing projects are increasing in scale and scope as the genome sequencing technologies migrate from core sequencing centers to individual research laboratories. Effectively, generating EST data is no longer a bottleneck for investigators. However, processing large amounts of EST data remains a non-trivial challenge for many. Web-based EST analysis tools are proving to be the most convenient option for biologists when performing their analysis, so these tools must continuously improve on their utility to keep in step with the growing needs of research communities. We have developed a web-based EST analysis pipeline called ESTPiper, which streamlines typical large-scale EST analysis components. Results The intuitive web interface guides users through each step of base calling, data cleaning, assembly, genome alignment, annotation, analysis of gene ontology (GO, and microarray oligonucleotide probe design. Each step is modularized. Therefore, a user can execute them separately or together in batch mode. In addition, the user has control over the parameters used by the underlying programs. Extensive documentation of ESTPiper's functionality is embedded throughout the web site to facilitate understanding of the required input and interpretation of the computational results. The user can also download intermediate results and port files to separate programs for further analysis. In addition, our server provides a time-stamped description of the run history for reproducibility. The pipeline can also be installed locally, allowing researchers to modify ESTPiper to suit their own needs. Conclusion ESTPiper streamlines the typical process of EST analysis. The pipeline was initially designed in part to support the Daphnia pulex cDNA sequencing project. A web server hosting ESTPiper is provided at http://estpiper.cgb.indiana.edu/ to now support projects of all size. The software is also freely available from the authors for

  19. Reliability, risk and availability analysis and evaluation of a port oil pipeline transportation system in constant operation conditions

    Energy Technology Data Exchange (ETDEWEB)

    Kolowrocki, Krzysztof [Gdynia Maritime University, Gdynia (Poland)

    2009-07-01

    In the paper the multi-state approach to the analysis and evaluation of systems' reliability, risk and availability is practically applied. Theoretical definitions and results are illustrated by the example of their application in the reliability, risk and availability evaluation of an oil pipeline transportation system. The pipeline transportation system is considered in the constant in time operation conditions. The system reliability structure and its components reliability functions are not changing in constant operation conditions. The system reliability structure is fixed with a high accuracy. Whereas, the input reliability characteristics of the pipeline components are not sufficiently exact because of the lack of statistical data necessary for their estimation. The results may be considered as an illustration of the proposed methods possibilities of applications in pipeline systems reliability analysis. (author)

  20. An integrated pipeline for the multidimensional analysis of branching morphogenesis.

    Science.gov (United States)

    Combes, Alexander N; Short, Kieran M; Lefevre, James; Hamilton, Nicholas A; Little, Melissa H; Smyth, Ian M

    2014-12-01

    Developmental branching morphogenesis establishes organ architecture, and it is driven by iterative interactions between epithelial and mesenchymal progenitor cell populations. We describe an approach for analyzing this interaction and how it contributes to organ development. After initial in vivo cell labeling with the nucleoside analog 5-ethynyl-2'-deoxyuridine (EdU) and tissue-specific antibodies, optical projection tomography (OPT) and confocal microscopy are used to image the developing organ. These imaging data then inform a second analysis phase that quantifies (using Imaris and Tree Surveyor software), models and integrates these events at a cell and tissue level in 3D space and across developmental time. The protocol establishes a benchmark for assessing the impact of genetic change or fetal environment on organogenesis that does not rely on ex vivo organ culture or section-based reconstruction. By using this approach, examination of two developmental stages for an organ such as the kidney can be undertaken by a postdoctoral-level researcher in 6 weeks, with a full developmental analysis in mouse achievable in 5 months.

  1. Approaches to automatic parameter fitting in a microscopy image segmentation pipeline: An exploratory parameter space analysis

    Science.gov (United States)

    Held, Christian; Nattkemper, Tim; Palmisano, Ralf; Wittenberg, Thomas

    2013-01-01

    Introduction: Research and diagnosis in medicine and biology often require the assessment of a large amount of microscopy image data. Although on the one hand, digital pathology and new bioimaging technologies find their way into clinical practice and pharmaceutical research, some general methodological issues in automated image analysis are still open. Methods: In this study, we address the problem of fitting the parameters in a microscopy image segmentation pipeline. We propose to fit the parameters of the pipeline's modules with optimization algorithms, such as, genetic algorithms or coordinate descents, and show how visual exploration of the parameter space can help to identify sub-optimal parameter settings that need to be avoided. Results: This is of significant help in the design of our automatic parameter fitting framework, which enables us to tune the pipeline for large sets of micrographs. Conclusion: The underlying parameter spaces pose a challenge for manual as well as automated parameter optimization, as the parameter spaces can show several local performance maxima. Hence, optimization strategies that are not able to jump out of local performance maxima, like the hill climbing algorithm, often result in a local maximum. PMID:23766941

  2. Double-pulse laser-induced breakdown spectroscopy analysis of scales from petroleum pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Cavalcanti, G.H. [Physics Department of University Federal Fluminense, Av. Gal. Milton Tavares de Souza, s/n" o – CEP 24210-346 – Niterói, Rio de Janeiro (Brazil); Rocha, A.A. [Department of Analytical Chemistry of the Fluminense Federal University (UFF), Niterói, Rio de Janeiro CEP: 24020-141 (Brazil); Damasceno, R.N. [Biomass and Water Research Center of the Fluminense Federal University (NAB/UFF), Niterói, Rio de Janeiro (Brazil); Legnaioli, S.; Lorenzetti, G.; Pardini, L. [Institute of Chemistry of Organometallic Compounds Of CNR, Research Area of National Research Council, Via G. Moruzzi, 1 — 56124 Pisa (Italy); Palleschi, V., E-mail: vincenzo.palleschi@cnr.it [Institute of Chemistry of Organometallic Compounds Of CNR, Research Area of National Research Council, Via G. Moruzzi, 1 — 56124 Pisa (Italy)

    2013-09-01

    Pipeline scales from the Campos Bay Petroleum Field near Rio de Janeiro, Brazil have been analyzed by both Raman spectroscopy and by laser-induced breakdown spectroscopy (LIBS) using a double-pulse, calibration-free approach. Elements that are characteristic of petroleum (e.g. C, H, N, O, Mg, Na, Fe and V) were detected, in addition to the Ca, Al, and Si which form the matrix of the scale. The LIBS results were compared with the results of micro-Raman spectroscopy, which confirmed the nature of the incrustations inferred by the LIBS analysis. Results of this preliminary study suggest that diffusion of pipe material into the pipeline intake column plays an important role in the growth of scale. Thanks to the simplicity and relative low cost of equipment and to the fact that no special chemical pre-treatment of the samples is needed, LIBS can offer very fast acquisition of data and the possibility of in situ measurements. LIBS could thus represent an alternative or complementary method for the chemical characterization of the scales by comparison to conventional analytical techniques, such as X-ray diffraction or X-ray fluorescence. - Highlights: • Samples of scales from petroleum pipelines were analyzed using double pulse LIBS. • LIBS is proposed as an alternative method to conventional analytical techniques. • The scale growth is influenced by the product of corrosion in the column of production. • The diffusion of pipe material into the inlay is important for the growth of scale.

  3. An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer

    Science.gov (United States)

    Lorenzo, Enery; Camacho-Caceres, Katia; Ropelewski, Alexander J.; Rosas, Juan; Ortiz-Mojer, Michael; Perez-Marty, Lynn; Irizarry, Juan; Gonzalez, Valerie; Rodríguez, Jesús A.; Cabrera-Rios, Mauricio; Isaza, Clara

    2015-01-01

    Establishing how a series of potentially important genes might relate to each other is relevant to understand the origin and evolution of illnesses, such as cancer. High-throughput biological experiments have played a critical role in providing information in this regard. A special challenge, however, is that of trying to conciliate information from separate microarray experiments to build a potential genetic signaling path. This work proposes a two-step analysis pipeline, based on optimization, to approach meta-analysis aiming to build a proxy for a genetic signaling path. PMID:26388997

  4. DSAP: deep-sequencing small RNA analysis pipeline.

    Science.gov (United States)

    Huang, Po-Jung; Liu, Yi-Chung; Lee, Chi-Ching; Lin, Wei-Chen; Gan, Richie Ruei-Chi; Lyu, Ping-Chiang; Tang, Petrus

    2010-07-01

    DSAP is an automated multiple-task web service designed to provide a total solution to analyzing deep-sequencing small RNA datasets generated by next-generation sequencing technology. DSAP uses a tab-delimited file as an input format, which holds the unique sequence reads (tags) and their corresponding number of copies generated by the Solexa sequencing platform. The input data will go through four analysis steps in DSAP: (i) cleanup: removal of adaptors and poly-A/T/C/G/N nucleotides; (ii) clustering: grouping of cleaned sequence tags into unique sequence clusters; (iii) non-coding RNA (ncRNA) matching: sequence homology mapping against a transcribed sequence library from the ncRNA database Rfam (http://rfam.sanger.ac.uk/); and (iv) known miRNA matching: detection of known miRNAs in miRBase (http://www.mirbase.org/) based on sequence homology. The expression levels corresponding to matched ncRNAs and miRNAs are summarized in multi-color clickable bar charts linked to external databases. DSAP is also capable of displaying miRNA expression levels from different jobs using a log(2)-scaled color matrix. Furthermore, a cross-species comparative function is also provided to show the distribution of identified miRNAs in different species as deposited in miRBase. DSAP is available at http://dsap.cgu.edu.tw.

  5. The Army Civil Affairs Officer Educational Pipeline: A Supply and Demand Analysis

    Science.gov (United States)

    2008-12-01

    politics of asymmetric conflict. World Politics, 27(2), 175-200. Retrieved from JSTOR database . Masters of arts in diplomacy. (2008). Retrieved...Kagan, R. (2007). End of dreams, return of history. Policy Review, 144, 17-44. Retrieved from Proquest Direct database . Lamb, C. J., & Lachow, I. (2006...handy label, but a lousy policy. The Washington Post, pp. B. 3-B. 3. Retrieved from Proquest Direct database . Lopez, T. C. (2008). Transition team

  6. RAP: RNA-Seq Analysis Pipeline, a new cloud-based NGS web application.

    Science.gov (United States)

    D'Antonio, Mattia; D'Onorio De Meo, Paolo; Pallocca, Matteo; Picardi, Ernesto; D'Erchia, Anna Maria; Calogero, Raffaele A; Castrignanò, Tiziana; Pesole, Graziano

    2015-01-01

    The study of RNA has been dramatically improved by the introduction of Next Generation Sequencing platforms allowing massive and cheap sequencing of selected RNA fractions, also providing information on strand orientation (RNA-Seq). The complexity of transcriptomes and of their regulative pathways make RNA-Seq one of most complex field of NGS applications, addressing several aspects of the expression process (e.g. identification and quantification of expressed genes and transcripts, alternative splicing and polyadenylation, fusion genes and trans-splicing, post-transcriptional events, etc.). In order to provide researchers with an effective and friendly resource for analyzing RNA-Seq data, we present here RAP (RNA-Seq Analysis Pipeline), a cloud computing web application implementing a complete but modular analysis workflow. This pipeline integrates both state-of-the-art bioinformatics tools for RNA-Seq analysis and in-house developed scripts to offer to the user a comprehensive strategy for data analysis. RAP is able to perform quality checks (adopting FastQC and NGS QC Toolkit), identify and quantify expressed genes and transcripts (with Tophat, Cufflinks and HTSeq), detect alternative splicing events (using SpliceTrap) and chimeric transcripts (with ChimeraScan). This pipeline is also able to identify splicing junctions and constitutive or alternative polyadenylation sites (implementing custom analysis modules) and call for statistically significant differences in genes and transcripts expression, splicing pattern and polyadenylation site usage (using Cuffdiff2 and DESeq). Through a user friendly web interface, the RAP workflow can be suitably customized by the user and it is automatically executed on our cloud computing environment. This strategy allows to access to bioinformatics tools and computational resources without specific bioinformatics and IT skills. RAP provides a set of tabular and graphical results that can be helpful to browse, filter and export

  7. Corrosion and coating defects on buried pipelines under CP: Excavations data collection and analysis

    Energy Technology Data Exchange (ETDEWEB)

    Karcher, Sebastien; Campaignolle, Xavier; Masson, Bernard; Meyer, Michel [Gaz de France Research and Development Division, 361 avenue du President Wilson, BP33 93211 Saint Denis La Plaine (France)

    2004-07-01

    Onshore gas transmission pipelines are conjointly protected against external corrosion by an organic coating and by cathodic protection (CP). Owing to particular defects or coating aging in the long term in ground, the protective efficiency of this dual system may be impaired. Consequently, external corrosion may develop and, eventually, threaten the integrity of the line if not detected and mitigated in time. To ensure continued protection of its lines against external corrosion, Gaz de France carries out, routinely, several maintenance and monitoring activities on the CP system. In addition, above ground surveys allow a better assessment of possible coating faults. However, it is necessary to continuously improve the reliability of the corrosion prediction to optimize the maintenance of pipelines. When indications and measurements from any mean of inspection (in-line inspection or above ground surveys) lead to suspect the presence of any significant metal defect, an excavation of the concerned pipe section is performed. At each excavation location, many parameters are collected to document the existing conditions of coating and steel. If sufficiently extended and reliable, this information may help to understand the root causes for development of corrosion. Eventually, thorough analysis of field data resulting either from inspection or from maintenance operations could lead to corrosion prediction. Since the volume of these data is large, reliability and consistency of information is absolutely required. Gaz de France has implemented a systematic data collection procedure on excavation sites, together with data analysis through a range of treatment methods. Data on more than 1400 excavations, pertaining to a set of different selected pipelines, have been collected in a single database. The later contains data such as pipelines characteristics, local cathodic protection parameters at the time of excavation, coating defect description if any, characterization of

  8. Environmental impact analysis; the example of the proposed Trans-Alaska Pipeline

    Science.gov (United States)

    Brew, David A.

    1974-01-01

    The environmental impact analysis made as required by the National Environmental Policy Act of 1969 for the proposed trans-Alaska pipeline included consideration of the (1) technologically complex and geographically extensive proposed project, (2) extremely different physical environments across Alaska along the proposed route and elsewhere in Alaska and in Canada along alternative routes, (3) socioeconomic environment of the State of Alaska, and (4) a wide variety of alternatives. The analysis was designed specifically to fit the project and environment that would be affected. The environment was divided into two general parts--natural physical systems and superposed socioeconomic systems--and those parts were further divided into discipline-oriented systems or components that were studied and analyzed by scientists of the appropriate discipline. Particular attention was given to potential feedback loops in the impact network and to linkages between the project's impacting effects and the environment. The results of the analysis as reported in the final environmental impact statement were that both unavoidable and threatened environmental impacts would result from construction, operation, and maintenance of the proposed pipeline system and the developments related to it. The principal unavoidable effects would be (1) disturbances of terrain, fish and wildlife habitat, and human environs, (2) the results of the discharge of effluent from the tanker-ballast-treatment facility into Port Valdez and of some indeterminate amount of oil released into the ocean from tank-cleaning operations at sea, and (3) the results associated with increased human pressures of all kinds on the environment. Other unavoidable effects would be those related to increase of State and Native Corporation revenues, accelerated cultural change of the Native population, and extraction of the oil and gas resource. The main threatened environmental effects would all be related to unintentional oil

  9. MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis [version 1; referees: 3 approved

    Directory of Open Access Journals (Sweden)

    Eric Moyer

    2016-04-01

    Full Text Available Network analysis can make variant analysis better. There are existing tools like HotNet2 and dmGWAS that can provide various analytical methods. We developed a prototype of a pipeline called MetaNetVar that allows execution of multiple tools. The code is published at https://github.com/NCBI-Hackathons/Network_SNPs. A working prototype is published as an Amazon Machine Image - ami-4510312f .

  10. A graph-based approach for designing extensible pipelines.

    Science.gov (United States)

    Rodrigues, Maíra R; Magalhães, Wagner C S; Machado, Moara; Tarazona-Santos, Eduardo

    2012-07-12

    In bioinformatics, it is important to build extensible and low-maintenance systems that are able to deal with the new tools and data formats that are constantly being developed. The traditional and simplest implementation of pipelines involves hardcoding the execution steps into programs or scripts. This approach can lead to problems when a pipeline is expanding because the incorporation of new tools is often error prone and time consuming. Current approaches to pipeline development such as workflow management systems focus on analysis tasks that are systematically repeated without significant changes in their course of execution, such as genome annotation. However, more dynamism on the pipeline composition is necessary when each execution requires a different combination of steps. We propose a graph-based approach to implement extensible and low-maintenance pipelines that is suitable for pipeline applications with multiple functionalities that require different combinations of steps in each execution. Here pipelines are composed automatically by compiling a specialised set of tools on demand, depending on the functionality required, instead of specifying every sequence of tools in advance. We represent the connectivity of pipeline components with a directed graph in which components are the graph edges, their inputs and outputs are the graph nodes, and the paths through the graph are pipelines. To that end, we developed special data structures and a pipeline system algorithm. We demonstrate the applicability of our approach by implementing a format conversion pipeline for the fields of population genetics and genetic epidemiology, but our approach is also helpful in other fields where the use of multiple software is necessary to perform comprehensive analyses, such as gene expression and proteomics analyses. The project code, documentation and the Java executables are available under an open source license at http://code.google.com/p/dynamic-pipeline. The system

  11. High-throughput data pipelines for metabolic flux analysis in plants.

    Science.gov (United States)

    Poskar, C Hart; Huege, Jan; Krach, Christian; Shachar-Hill, Yair; Junker, Björn H

    2014-01-01

    In this chapter we illustrate the methodology for high-throughput metabolic flux analysis. Central to this is developing an end to end data pipeline, crucial for integrating the wet lab experiments and analytics, combining hardware and software automation, and standardizing data representation providing importers and exporters to support third party tools. The use of existing software at the start, data extraction from the chromatogram, and the end, MFA analysis, allows for the most flexibility in this workflow. Developing iMS2Flux provided a standard, extensible, platform independent tool to act as the "glue" between these end points. Most importantly this tool can be easily adapted to support different data formats, data verification and data correction steps allowing it to be central to managing the data necessary for high-throughput MFA. An additional tool was needed to automate the MFA software and in particular to take advantage of the course grained parallel nature of high-throughput analysis and available high performance computing facilities.In combination these methods show the development of high-throughput pipelines that allow metabolic flux analysis to join as a full member of the omics family.

  12. Stress analysis of a large diameter, heated pipeline in mountainous terrain

    Energy Technology Data Exchange (ETDEWEB)

    Arevalo, Dario R.; Riccillo, Domingo; Curle, Ronald K. [TECHINT S.A. (Brazil)

    2003-07-01

    The primary goals of modern pipeline design and construction projects, are safety and low cost. High strength steels such as API-5L Gr. X70 reduce installed weights but translate into high D/t ratios. Modern manufacturing methods, used produce API grade pipes, increase yield strength with minimal changes to the ultimate tensile strength (UTS). The trend toward the use of high strength pipe reduces costs, but correspondingly increases D/t ratios. There are significant challenges in stress and rupture analysis to ensure stability under loading conditions that include static and transient pressures, high temperatures, dead weights, and seismic forces. (author)

  13. Frequency spectrum method-based stress analysis for oil pipelines in earthquake disaster areas

    National Research Council Canada - National Science Library

    Wu, Xiaonan; Lu, Hongfang; Huang, Kun; Wu, Shijuan; Qiao, Weibiao

    2015-01-01

    When a long distance oil pipeline crosses an earthquake disaster area, inertial force and strong ground motion can cause the pipeline stress to exceed the failure limit, resulting in bending and deformation failure...

  14. Frequency Spectrum Method-Based Stress Analysis for Oil Pipelines in Earthquake Disaster Areas: e0115299

    National Research Council Canada - National Science Library

    Xiaonan Wu; Hongfang Lu; Kun Huang; Shijuan Wu; Weibiao Qiao

    2015-01-01

      When a long distance oil pipeline crosses an earthquake disaster area, inertial force and strong ground motion can cause the pipeline stress to exceed the failure limit, resulting in bending and deformation failure...

  15. An empirical analysis of cigarette demand in Argentina

    Science.gov (United States)

    Martinez, Eugenio; Mejia, Raul; Pérez-Stable, Eliseo J

    2014-01-01

    Objective To estimate the long-term and short-term effects on cigarette demand in Argentina based on changes in cigarette price and income per person >14 years old. Method Public data from the Ministry of Economics and Production were analysed based on monthly time series data between 1994 and 2010. The econometric analysis used cigarette consumption per person >14 years of age as the dependent variable and the real income per person >14 years old and the real average price of cigarettes as independent variables. Empirical analyses were done to verify the order of integration of the variables, to test for cointegration to capture the long-term effects and to capture the short-term dynamics of the variables. Results The demand for cigarettes in Argentina was affected by changes in real income and the real average price of cigarettes. The long-term income elasticity was equal to 0.43, while the own-price elasticity was equal to −0.31, indicating a 10% increase in the growth of real income led to an increase in cigarette consumption of 4.3% and a 10% increase in the price produced a fall of 3.1% in cigarette consumption. The vector error correction model estimated that the short-term income elasticity was 0.25 and the short-term own-price elasticity of cigarette demand was −0.15. A simulation exercise showed that increasing the price of cigarettes by 110% would maximise revenues and result in a potentially large decrease in total cigarette consumption. Conclusion Econometric analyses of cigarette consumption and their relationship with cigarette price and income can provide valuable information for developing cigarette price policy. PMID:23760657

  16. An empirical analysis of cigarette demand in Argentina.

    Science.gov (United States)

    Martinez, Eugenio; Mejia, Raul; Pérez-Stable, Eliseo J

    2015-01-01

    To estimate the long-term and short-term effects on cigarette demand in Argentina based on changes in cigarette price and income per person >14 years old. Public data from the Ministry of Economics and Production were analysed based on monthly time series data between 1994 and 2010. The econometric analysis used cigarette consumption per person >14 years of age as the dependent variable and the real income per person >14 years old and the real average price of cigarettes as independent variables. Empirical analyses were done to verify the order of integration of the variables, to test for cointegration to capture the long-term effects and to capture the short-term dynamics of the variables. The demand for cigarettes in Argentina was affected by changes in real income and the real average price of cigarettes. The long-term income elasticity was equal to 0.43, while the own-price elasticity was equal to -0.31, indicating a 10% increase in the growth of real income led to an increase in cigarette consumption of 4.3% and a 10% increase in the price produced a fall of 3.1% in cigarette consumption. The vector error correction model estimated that the short-term income elasticity was 0.25 and the short-term own-price elasticity of cigarette demand was -0.15. A simulation exercise showed that increasing the price of cigarettes by 110% would maximise revenues and result in a potentially large decrease in total cigarette consumption. Econometric analyses of cigarette consumption and their relationship with cigarette price and income can provide valuable information for developing cigarette price policy. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  17. Next Generation Sequence Analysis and Computational Genomics Using Graphical Pipeline Workflows

    Directory of Open Access Journals (Sweden)

    Marquis P. Vawter

    2012-08-01

    Full Text Available Whole-genome and exome sequencing have already proven to be essential and powerful methods to identify genes responsible for simple Mendelian inherited disorders. These methods can be applied to complex disorders as well, and have been adopted as one of the current mainstream approaches in population genetics. These achievements have been made possible by next generation sequencing (NGS technologies, which require substantial bioinformatics resources to analyze the dense and complex sequence data. The huge analytical burden of data from genome sequencing might be seen as a bottleneck slowing the publication of NGS papers at this time, especially in psychiatric genetics. We review the existing methods for processing NGS data, to place into context the rationale for the design of a computational resource. We describe our method, the Graphical Pipeline for Computational Genomics (GPCG, to perform the computational steps required to analyze NGS data. The GPCG implements flexible workflows for basic sequence alignment, sequence data quality control, single nucleotide polymorphism analysis, copy number variant identification, annotation, and visualization of results. These workflows cover all the analytical steps required for NGS data, from processing the raw reads to variant calling and annotation. The current version of the pipeline is freely available at http://pipeline.loni.ucla.edu. These applications of NGS analysis may gain clinical utility in the near future (e.g., identifying miRNA signatures in diseases when the bioinformatics approach is made feasible. Taken together, the annotation tools and strategies that have been developed to retrieve information and test hypotheses about the functional role of variants present in the human genome will help to pinpoint the genetic risk factors for psychiatric disorders.

  18. Next generation sequence analysis and computational genomics using graphical pipeline workflows.

    Science.gov (United States)

    Torri, Federica; Dinov, Ivo D; Zamanyan, Alen; Hobel, Sam; Genco, Alex; Petrosyan, Petros; Clark, Andrew P; Liu, Zhizhong; Eggert, Paul; Pierce, Jonathan; Knowles, James A; Ames, Joseph; Kesselman, Carl; Toga, Arthur W; Potkin, Steven G; Vawter, Marquis P; Macciardi, Fabio

    2012-08-30

    Whole-genome and exome sequencing have already proven to be essential and powerful methods to identify genes responsible for simple Mendelian inherited disorders. These methods can be applied to complex disorders as well, and have been adopted as one of the current mainstream approaches in population genetics. These achievements have been made possible by next generation sequencing (NGS) technologies, which require substantial bioinformatics resources to analyze the dense and complex sequence data. The huge analytical burden of data from genome sequencing might be seen as a bottleneck slowing the publication of NGS papers at this time, especially in psychiatric genetics. We review the existing methods for processing NGS data, to place into context the rationale for the design of a computational resource. We describe our method, the Graphical Pipeline for Computational Genomics (GPCG), to perform the computational steps required to analyze NGS data. The GPCG implements flexible workflows for basic sequence alignment, sequence data quality control, single nucleotide polymorphism analysis, copy number variant identification, annotation, and visualization of results. These workflows cover all the analytical steps required for NGS data, from processing the raw reads to variant calling and annotation. The current version of the pipeline is freely available at http://pipeline.loni.ucla.edu. These applications of NGS analysis may gain clinical utility in the near future (e.g., identifying miRNA signatures in diseases) when the bioinformatics approach is made feasible. Taken together, the annotation tools and strategies that have been developed to retrieve information and test hypotheses about the functional role of variants present in the human genome will help to pinpoint the genetic risk factors for psychiatric disorders.

  19. An analysis of perceptions and awareness of risk associated with energy pipelines in South Africa

    Directory of Open Access Journals (Sweden)

    Tatenda Mbara

    2011-11-01

    Full Text Available Worldwide, there has been a rapid growth in the use of pipelines to transport energy products. Due to the strategic nature of energy products that are transported by pipelines, the importance of risk awareness, assessment and management cannot be over-emphasised. With the risk of pipeline disruptions increasing globally, energy pipeline organisations are compelled to incorporate measures that should help to identify and address areas that can lead to energy pipeline disruptions. The incorporation of such measures for any organisation is premised on an understanding and appreciation of the risks involved. Given the strategic importance of energy pipelines, the main purpose of this paper is to establish whether the South African energy pipeline sector and the public at large appreciate the risks associated with energy pipelines. Thus, the paper seeks to ascertain awareness of the risks associated with the energy pipeline's physical environment, not only from the energy pipeline operators, but also from communities who are exposed to such risks. Data for the study was collected from energy pipeline operators and from a selected residential area in Johannesburg using both structured and unstructured questionnaires. The findings show that the corporate energy sector in South Africa is aware of risks associated with energy pipeline supply chains while the general public's awareness is very low.

  20. From raw data to biological discoveries: a computational analysis pipeline for mass spectrometry-based proteomics.

    Science.gov (United States)

    Lavallée-Adam, Mathieu; Park, Sung Kyu Robin; Martínez-Bartolomé, Salvador; He, Lin; Yates, John R

    2015-11-01

    In the last two decades, computational tools for mass spectrometry-based proteomics data analysis have evolved from a few stand-alone software solutions serving specific goals, such as the identification of amino acid sequences based on mass spectrometry spectra, to large-scale complex pipelines integrating multiple computer programs to solve a collection of problems. This software evolution has been mostly driven by the appearance of novel technologies that allowed the community to tackle complex biological problems, such as the identification of proteins that are differentially expressed in two samples under different conditions. The achievement of such objectives requires a large suite of programs to analyze the intricate mass spectrometry data. Our laboratory addresses complex proteomics questions by producing and using algorithms and software packages. Our current computational pipeline includes, among other things, tools for mass spectrometry raw data processing, peptide and protein identification and quantification, post-translational modification analysis, and protein functional enrichment analysis. In this paper, we describe a suite of software packages we have developed to process mass spectrometry-based proteomics data and we highlight some of the new features of previously published programs as well as tools currently under development. Graphical Abstract ᅟ.

  1. Holdup Measurement of Pipeline

    Institute of Scientific and Technical Information of China (English)

    LU; Wen-guang; XU; Zheng

    2015-01-01

    This research mainly adopts gamma spectroscopy to detect the pipeline retention.The calculation of retention of uranium has been obtained based on the intensity of gamma rays of 185.715 keV emitted by 235U,and the analysis method for the pipeline retention has been established.

  2. The Brackets Design and Stress Analysis of a Refinery's Hot Water Pipeline

    Science.gov (United States)

    Zhou, San-Ping; He, Yan-Lin

    2016-05-01

    The reconstruction engineering which reconstructs the hot water pipeline from a power station to a heat exchange station requires the new hot water pipeline combine with old pipe racks. Taking the allowable span calculated based on GB50316 and the design philosophy of the pipeline supports into account, determine the types and locations of brackets. By analyzing the stresses of the pipeline in AutoPIPE, adjusting the supports at dangerous segments, recalculating in AutoPIPE, at last determine the types, locations and numbers of supports reasonably. Then the overall pipeline system will satisfy the requirement of the ASME B31.3.

  3. ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND --Case of Jilin Province

    Institute of Scientific and Technical Information of China (English)

    ZHANG Hui-min; JIANG Hui-ming

    2005-01-01

    With the rapid development of agricultural informalization in the world, the demand of agricultural information has been a focus in the international agriculture and information fields. Based on the investigation, this paper presented the four characteristics of the demand of agricultural information in China, including regionality, seasonality, great potential demand and variation in kind and level. The factors influencing the demand of agricultural information were analyzed by the Optimized Less Square (OLS) method. The result shows that, of all factors influcing agricultural information demand, the most important one is economy, the second is facility of information pass,and knowledge and education of user, credit of agricultural information service system and production situation follow. Taking Jilin Province as an example, this article also elaborated the agricultural information demand status, and deduced the regression model of agricultural information demand and verified it by the survey in rural Jilin.

  4. Virtual Pipeline System Testbed to Optimize the U.S. Natural Gas Transmission Pipeline System

    Energy Technology Data Exchange (ETDEWEB)

    Kirby S. Chapman; Prakash Krishniswami; Virg Wallentine; Mohammed Abbaspour; Revathi Ranganathan; Ravi Addanki; Jeet Sengupta; Liubo Chen

    2005-06-01

    The goal of this project is to develop a Virtual Pipeline System Testbed (VPST) for natural gas transmission. This study uses a fully implicit finite difference method to analyze transient, nonisothermal compressible gas flow through a gas pipeline system. The inertia term of the momentum equation is included in the analysis. The testbed simulate compressor stations, the pipe that connects these compressor stations, the supply sources, and the end-user demand markets. The compressor station is described by identifying the make, model, and number of engines, gas turbines, and compressors. System operators and engineers can analyze the impact of system changes on the dynamic deliverability of gas and on the environment.

  5. Metagenomic analysis indicates Epsilonproteobacteria as a potential cause of microbial corrosion in pipelines injected with bisulfite

    Directory of Open Access Journals (Sweden)

    Dongshan eAn

    2016-01-01

    Full Text Available Sodium bisulfite (SBS is used as an oxygen scavenger to decrease corrosion in pipelines transporting brackish subsurface water used in the production of bitumen by steam-assisted gravity drainage. Sequencing 16S rRNA gene amplicons has indicated that SBS addition increased the fraction of the sulfate-reducing bacteria (SRB Desulfomicrobium, as well as of Desulfocapsa, which can also grow by disproportionating sulfite into sulfide, sulfur and sulfate. SRB use cathodic H2, formed by reduction of aqueous protons at the iron surface, or use low potential electrons from iron and aqueous protons directly for sulfate reduction. In order to reveal the effects of SBS treatment in more detail, metagenomic analysis was performed with pipe-associated solids (PAS scraped from a pipe section upstream (PAS-616P and downstream (PAS-821TP of the SBS injection point. A major SBS-induced change in microbial community composition and in affiliated hynL genes for the large subunit of [NiFe] hydrogenase was the appearance of sulfur-metabolizing Epsilonproteobacteria of the genera Sulfuricurvum and Sulfurovum. These are chemolithotrophs, which oxidize sulfide or sulfur with O2 or reduce sulfur with H2. Because O2 was absent, this class likely catalyzed reduction of sulfur (S0 originating from the metabolism of bisulfite with cathodic H2 (or low potential electrons and aqueous protons originating from the corrosion of steel (Fe0. Overall this accelerates reaction of of S0 and Fe0 to form FeS, making this class a potentially powerful contributor to microbial corrosion. The PAS-821TP metagenome also had increased fractions of Deltaproteobacteria including the SRB Desulfomicrobium and Desulfocapsa. Altogether, SBS increased the fraction of hydrogen-utilizing Delta- and Epsilonproteobacteria in brackish-water-transporting pipelines, potentially stimulating anaerobic pipeline corrosion if dosed in excess of the intended oxygen scavenger function.

  6. Metagenomic Analysis Indicates Epsilonproteobacteria as a Potential Cause of Microbial Corrosion in Pipelines Injected with Bisulfite.

    Science.gov (United States)

    An, Dongshan; Dong, Xiaoli; An, Annie; Park, Hyung S; Strous, Marc; Voordouw, Gerrit

    2016-01-01

    Sodium bisulfite (SBS) is used as an oxygen scavenger to decrease corrosion in pipelines transporting brackish subsurface water used in the production of bitumen by steam-assisted gravity drainage. Sequencing 16S rRNA gene amplicons has indicated that SBS addition increased the fraction of the sulfate-reducing bacteria (SRB) Desulfomicrobium, as well as of Desulfocapsa, which can also grow by disproportionating sulfite into sulfide, sulfur, and sulfate. SRB use cathodic H2, formed by reduction of aqueous protons at the iron surface, or use low potential electrons from iron and aqueous protons directly for sulfate reduction. In order to reveal the effects of SBS treatment in more detail, metagenomic analysis was performed with pipe-associated solids (PAS) scraped from a pipe section upstream (PAS-616P) and downstream (PAS-821TP) of the SBS injection point. A major SBS-induced change in microbial community composition and in affiliated hynL genes for the large subunit of [NiFe] hydrogenase was the appearance of sulfur-metabolizing Epsilonproteobacteria of the genera Sulfuricurvum and Sulfurovum. These are chemolithotrophs, which oxidize sulfide or sulfur with O2 or reduce sulfur with H2. Because O2 was absent, this class likely catalyzed reduction of sulfur (S(0)) originating from the metabolism of bisulfite with cathodic H2 (or low potential electrons and aqueous protons) originating from the corrosion of steel (Fe(0)). Overall this accelerates reaction of of S(0) and Fe(0) to form FeS, making this class a potentially powerful contributor to microbial corrosion. The PAS-821TP metagenome also had increased fractions of Deltaproteobacteria including the SRB Desulfomicrobium and Desulfocapsa. Altogether, SBS increased the fraction of hydrogen-utilizing Delta- and Epsilonproteobacteria in brackish-water-transporting pipelines, potentially stimulating anaerobic pipeline corrosion if dosed in excess of the intended oxygen scavenger function.

  7. Modal analysis of acoustic leak signal in pipelines using time-frequency analysis

    Institute of Scientific and Technical Information of China (English)

    JIAO Jing-pin; FEI Ren-yuan; HE Cun-fu; WU Bin

    2006-01-01

    It is important to analyze the propagation characteristics of guided waves in acoustic leak location in pipelines.In this paper,the acoustic leak signal is analyzed in the time-frequency domain.Based on the relation of time-frequency distribution of the acoustic leak signal and the dispersion curves of guided waves,the mode components of acoustic leak signals were obtained.The research can provide a guideline for the mode selection in pipeline leak location,and help improve the accuracy of leak location.

  8. Trans-Proteomic Pipeline supports and improves analysis of electron transfer dissociation data sets.

    Science.gov (United States)

    Deutsch, Eric W; Shteynberg, David; Lam, Henry; Sun, Zhi; Eng, Jimmy K; Carapito, Christine; von Haller, Priska D; Tasman, Natalie; Mendoza, Luis; Farrah, Terry; Aebersold, Ruedi

    2010-03-01

    Electron transfer dissociation (ETD) is an alternative fragmentation technique to CID that has recently become commercially available. ETD has several advantages over CID. It is less prone to fragmenting amino acid side chains, especially those that are modified, thus yielding fragment ion spectra with more uniform peak intensities. Further, precursor ions of longer peptides and higher charge states can be fragmented and identified. However, analysis of ETD spectra has a few important differences that require the optimization of the software packages used for the analysis of CID data or the development of specialized tools. We have adapted the Trans-Proteomic Pipeline to process ETD data. Specifically, we have added support for fragment ion spectra from high-charge precursors, compatibility with charge-state estimation algorithms, provisions for the use of the Lys-C protease, capabilities for ETD spectrum library building, and updates to the data formats to differentiate CID and ETD spectra. We show the results of processing data sets from several different types of ETD instruments and demonstrate that application of the ETD-enhanced Trans-Proteomic Pipeline can increase the number of spectrum identifications at a fixed false discovery rate by as much as 100% over native output from a single sequence search engine.

  9. An integrated pipeline for the genome-wide analysis of transcription factor binding sites from ChIP-Seq.

    Science.gov (United States)

    Mercier, Eloi; Droit, Arnaud; Li, Leping; Robertson, Gordon; Zhang, Xuekui; Gottardo, Raphael

    2011-02-16

    ChIP-Seq has become the standard method for genome-wide profiling DNA association of transcription factors. To simplify analyzing and interpreting ChIP-Seq data, which typically involves using multiple applications, we describe an integrated, open source, R-based analysis pipeline. The pipeline addresses data input, peak detection, sequence and motif analysis, visualization, and data export, and can readily be extended via other R and Bioconductor packages. Using a standard multicore computer, it can be used with datasets consisting of tens of thousands of enriched regions. We demonstrate its effectiveness on published human ChIP-Seq datasets for FOXA1, ER, CTCF and STAT1, where it detected co-occurring motifs that were consistent with the literature but not detected by other methods. Our pipeline provides the first complete set of Bioconductor tools for sequence and motif analysis of ChIP-Seq and ChIP-chip data.

  10. A Comparative Analysis of the Lyve-SET Phylogenomics Pipeline for Genomic Epidemiology of Foodborne Pathogens

    Science.gov (United States)

    Katz, Lee S.; Griswold, Taylor; Williams-Newkirk, Amanda J.; Wagner, Darlene; Petkau, Aaron; Sieffert, Cameron; Van Domselaar, Gary; Deng, Xiangyu; Carleton, Heather A.

    2017-01-01

    Modern epidemiology of foodborne bacterial pathogens in industrialized countries relies increasingly on whole genome sequencing (WGS) techniques. As opposed to profiling techniques such as pulsed-field gel electrophoresis, WGS requires a variety of computational methods. Since 2013, United States agencies responsible for food safety including the CDC, FDA, and USDA, have been performing whole-genome sequencing (WGS) on all Listeria monocytogenes found in clinical, food, and environmental samples. Each year, more genomes of other foodborne pathogens such as Escherichia coli, Campylobacter jejuni, and Salmonella enterica are being sequenced. Comparing thousands of genomes across an entire species requires a fast method with coarse resolution; however, capturing the fine details of highly related isolates requires a computationally heavy and sophisticated algorithm. Most L. monocytogenes investigations employing WGS depend on being able to identify an outbreak clade whose inter-genomic distances are less than an empirically determined threshold. When the difference between a few single nucleotide polymorphisms (SNPs) can help distinguish between genomes that are likely outbreak-associated and those that are less likely to be associated, we require a fine-resolution method. To achieve this level of resolution, we have developed Lyve-SET, a high-quality SNP pipeline. We evaluated Lyve-SET by retrospectively investigating 12 outbreak data sets along with four other SNP pipelines that have been used in outbreak investigation or similar scenarios. To compare these pipelines, several distance and phylogeny-based comparison methods were applied, which collectively showed that multiple pipelines were able to identify most outbreak clusters and strains. Currently in the US PulseNet system, whole genome multi-locus sequence typing (wgMLST) is the preferred primary method for foodborne WGS cluster detection and outbreak investigation due to its ability to name standardized

  11. Metabolomic and Metagenomic Analysis of Two Crude Oil Production Pipelines Experiencing Differential Rates of Corrosion

    Science.gov (United States)

    Bonifay, Vincent; Wawrik, Boris; Sunner, Jan; Snodgrass, Emily C.; Aydin, Egemen; Duncan, Kathleen E.; Callaghan, Amy V.; Oldham, Athenia; Liengen, Turid; Beech, Iwona

    2017-01-01

    Corrosion processes in two North Sea oil production pipelines were studied by analyzing pig envelope samples via metagenomic and metabolomic techniques. Both production systems have similar physico-chemical properties and injection waters are treated with nitrate, but one pipeline experiences severe corrosion and the other does not. Early and late pigging material was collected to gain insight into the potential causes for differential corrosion rates. Metabolites were extracted and analyzed via ultra-high performance liquid chromatography/high-resolution mass spectrometry with electrospray ionization (ESI) in both positive and negative ion modes. Metabolites were analyzed by comparison with standards indicative of aerobic and anaerobic hydrocarbon metabolism and by comparison to predicted masses for KEGG metabolites. Microbial community structure was analyzed via 16S rRNA gene qPCR, sequencing of 16S PCR products, and MySeq Illumina shotgun sequencing of community DNA. Metagenomic data were used to reconstruct the full length 16S rRNA genes and genomes of dominant microorganisms. Sequence data were also interrogated via KEGG annotation and for the presence of genes related to terminal electron accepting (TEA) processes as well as aerobic and anaerobic hydrocarbon degradation. Significant and distinct differences were observed when comparing the ‘high corrosion’ (HC) and the ‘low corrosion’ (LC) pipeline systems, especially with respect to the TEA utilization potential. The HC samples were dominated by sulfate-reducing bacteria (SRB) and archaea known for their ability to utilize simple carbon substrates, whereas LC samples were dominated by pseudomonads with the genetic potential for denitrification and aerobic hydrocarbon degradation. The frequency of aerobic hydrocarbon degradation genes was low in the HC system, and anaerobic hydrocarbon degradation genes were not detected in either pipeline. This is in contrast with metabolite analysis, which

  12. ANALYSIS OF LARGE LC-MS/MS DATASETS USING AMAZON WEB SERVICES AND THE TRANS-PROTEOMIC PIPELINE

    DEFF Research Database (Denmark)

    Slagel, Joseph; Deutsch, Eric; Mendoza, Luis

    Novel Aspect Using cloud computing in conjunction with the TPP provides an expedient, cost effective, and scalable solution for MS/MS data analysis. Introduction The Trans-Proteomic Pipeline (TPP) is a mature and well regarded open source suite of tools for the analysis of large LC-MS/MS datasets...

  13. An analysis of key issues in the clean development mechanism based on the UNEP Risoe clean development mechanism pipeline

    DEFF Research Database (Denmark)

    Fenhann, Jørgen Villy; Staun, Frederik

    2010-01-01

    This paper provides a description of the analysis contained in the UNEP Risoe Clean Development Mechanism (CDM) pipeline not available on the site, some of the impacts/problems of the CDM and a way forward post-2012. The successful development of the CDM since it started in December 2003 is docum......This paper provides a description of the analysis contained in the UNEP Risoe Clean Development Mechanism (CDM) pipeline not available on the site, some of the impacts/problems of the CDM and a way forward post-2012. The successful development of the CDM since it started in December 2003...

  14. Pipeline design and thermal stress analysis of a 10kW@20K helium refrigerator

    Science.gov (United States)

    Xu, D.; Gong, L. H.; Xu, P.; Liu, H. M.; Li, L. F.; Xu, X. D.

    2014-01-01

    This paper is based on the devices and pipeline in the horizontal cryogenic cold-box of a 10kW@20K helium refrigerator developed by Technical Institute of Physics and Chemistry, Chinese Academy of Sciences. Four devices, six valves, supporting components and pipe lines are positioned in the cold-box. At operating state, the temperature of these devices and pipeline is far below the room temperature, and the lowest temperature is 14K. Due to different material and temperature, the shrinkage of devices and pipes is different. Finite element analysis software SOLIDWORKS SIMULATION was used to numerically simulate the thermal stress and deformation. The results show that the thermal stress of pipe A is a little large. So we should change the pipe route or use a bellows expansion joint. Bellows expansion joints should also be used in the pipes connected to three of the six valves to protect them by decreasing the deformation. At last, the effect of diameter, thickness and bend radius on the thermal stress was analyzed. The results show that the thermal stress of the pipes increases with the increase of the diameter and the decrease of the bend radius.

  15. Approaches to automatic parameter fitting in a microscopy image segmentation pipeline: An exploratory parameter space analysis

    Directory of Open Access Journals (Sweden)

    Christian Held

    2013-01-01

    Full Text Available Introduction: Research and diagnosis in medicine and biology often require the assessment of a large amount of microscopy image data. Although on the one hand, digital pathology and new bioimaging technologies find their way into clinical practice and pharmaceutical research, some general methodological issues in automated image analysis are still open. Methods: In this study, we address the problem of fitting the parameters in a microscopy image segmentation pipeline. We propose to fit the parameters of the pipeline′s modules with optimization algorithms, such as, genetic algorithms or coordinate descents, and show how visual exploration of the parameter space can help to identify sub-optimal parameter settings that need to be avoided. Results: This is of significant help in the design of our automatic parameter fitting framework, which enables us to tune the pipeline for large sets of micrographs. Conclusion: The underlying parameter spaces pose a challenge for manual as well as automated parameter optimization, as the parameter spaces can show several local performance maxima. Hence, optimization strategies that are not able to jump out of local performance maxima, like the hill climbing algorithm, often result in a local maximum.

  16. Bifrost: a Modular Python/C++ Framework for Development of High-Throughput Data Analysis Pipelines

    Science.gov (United States)

    Cranmer, Miles; Barsdell, Benjamin R.; Price, Danny C.; Garsden, Hugh; Taylor, Gregory B.; Dowell, Jayce; Schinzel, Frank; Costa, Timothy; Greenhill, Lincoln J.

    2017-01-01

    Large radio interferometers have data rates that render long-term storage of raw correlator data infeasible, thus motivating development of real-time processing software. For high-throughput applications, processing pipelines are challenging to design and implement. Motivated by science efforts with the Long Wavelength Array, we have developed Bifrost, a novel Python/C++ framework that eases the development of high-throughput data analysis software by packaging algorithms as black box processes in a directed graph. This strategy to modularize code allows astronomers to create parallelism without code adjustment. Bifrost uses CPU/GPU ’circular memory’ data buffers that enable ready introduction of arbitrary functions into the processing path for ’streams’ of data, and allow pipelines to automatically reconfigure in response to astrophysical transient detection or input of new observing settings. We have deployed and tested Bifrost at the latest Long Wavelength Array station, in Sevilleta National Wildlife Refuge, NM, where it handles throughput exceeding 10 Gbps per CPU core.

  17. Loading and stress analysis of gas pipeline structures; Analise de esforcos e tensoes em estruturas de gasodutos durante despressurizacoes

    Energy Technology Data Exchange (ETDEWEB)

    Frisoli, Caetano [TRANSPETRO - PETROBRAS Transporte S.A., Rio de Janeiro, RJ (Brazil); Frota, Cristiane Souto [TBG - Transportadora Brasileira Gasoduto Bolivia Brasil S.A., Rio de Janeiro, RJ (Brazil); Silva, Luis Fernando Figueira da; Carvalho, Marcio da Silveira [Pontificia Univ. Catolica do Rio de Janeiro, RJ (Brazil). Dept. de Engenharia Mecanica; Savi, Marcelo Amorim [Universidade Federal, Rio de Janeiro, RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia. Dept. de Engenharia Mecanica; Pacheco, Pedro Manuel Calas Lopes [Centro Federal de Educacao Tecnologica do Rio de Janeiro (CEFET-RJ), Rio de Janeiro, RJ (Brazil)

    2003-07-01

    Repairing and maintenance activities on Bolivia-Brazil gas pipeline often need blow down lines. During the blow down process, the high speed of discharging gases imposes great efforts to the structures. A detailed analysis of this situation is essential for a safe operation. This paper describes two phases of a project, developed under TBG coordination. It consists in analyzing the stress and forces involved in this operation, in order to design facilities to blow down pipes and develop a safe blow down procedure for the gas pipeline. The first phase consists of a supersonic flowing simulation in the blow down gas pipeline device. The pressure behavior, mass flow and the speed at the device's ending point are calculated for different operational conditions. In the second phase, the equivalent loading caused by blow down operations is used as input in a stress analysis program to determine stress, critical sessions evaluation and material recommendations for blow down devices. (author)

  18. An analysis of key issues in the clean development mechanism based on the UNEP Risoe clean development mechanism pipeline

    DEFF Research Database (Denmark)

    Fenhann, Jørgen Villy; Staun, Frederik

    2010-01-01

    This paper provides a description of the analysis contained in the UNEP Risoe Clean Development Mechanism (CDM) pipeline not available on the site, some of the impacts/problems of the CDM and a way forward post-2012. The successful development of the CDM since it started in December 2003 is docum......This paper provides a description of the analysis contained in the UNEP Risoe Clean Development Mechanism (CDM) pipeline not available on the site, some of the impacts/problems of the CDM and a way forward post-2012. The successful development of the CDM since it started in December 2003...... is documented. The CDM pipeline includes calculation of the investment in the CDM projects. The total investment in the 2171 registered CDM projects is approximately US$60 billion. It is shown that programmatic CDM gives hope for an increased share of projects in Africa, since 16% of the programmatic CDM...

  19. Constructing Flexible, Configurable, ETL Pipelines for the Analysis of "Big Data" with Apache OODT

    Science.gov (United States)

    Hart, A. F.; Mattmann, C. A.; Ramirez, P.; Verma, R.; Zimdars, P. A.; Park, S.; Estrada, A.; Sumarlidason, A.; Gil, Y.; Ratnakar, V.; Krum, D.; Phan, T.; Meena, A.

    2013-12-01

    A plethora of open source technologies for manipulating, transforming, querying, and visualizing 'big data' have blossomed and matured in the last few years, driven in large part by recognition of the tremendous value that can be derived by leveraging data mining and visualization techniques on large data sets. One facet of many of these tools is that input data must often be prepared into a particular format (e.g.: JSON, CSV), or loaded into a particular storage technology (e.g.: HDFS) before analysis can take place. This process, commonly known as Extract-Transform-Load, or ETL, often involves multiple well-defined steps that must be executed in a particular order, and the approach taken for a particular data set is generally sensitive to the quantity and quality of the input data, as well as the structure and complexity of the desired output. When working with very large, heterogeneous, unstructured or semi-structured data sets, automating the ETL process and monitoring its progress becomes increasingly important. Apache Object Oriented Data Technology (OODT) provides a suite of complementary data management components called the Process Control System (PCS) that can be connected together to form flexible ETL pipelines as well as browser-based user interfaces for monitoring and control of ongoing operations. The lightweight, metadata driven middleware layer can be wrapped around custom ETL workflow steps, which themselves can be implemented in any language. Once configured, it facilitates communication between workflow steps and supports execution of ETL pipelines across a distributed cluster of compute resources. As participants in a DARPA-funded effort to develop open source tools for large-scale data analysis, we utilized Apache OODT to rapidly construct custom ETL pipelines for a variety of very large data sets to prepare them for analysis and visualization applications. We feel that OODT, which is free and open source software available through the Apache

  20. Magnetic anomaly detection (MAD) of ferromagnetic pipelines using principal component analysis (PCA)

    Science.gov (United States)

    Sheinker, Arie; Moldwin, Mark B.

    2016-04-01

    The magnetic anomaly detection (MAD) method is used for detection of visually obscured ferromagnetic objects. The method exploits the magnetic field originating from the ferromagnetic object, which constitutes an anomaly in the ambient earth’s magnetic field. Traditionally, MAD is used to detect objects with a magnetic field of a dipole structure, where far from the object it can be considered as a point source. In the present work, we expand MAD to the case of a non-dipole source, i.e. a ferromagnetic pipeline. We use principal component analysis (PCA) to calculate the principal components, which are then employed to construct an effective detector. Experiments conducted in our lab with real-world data validate the above analysis. The simplicity, low computational complexity, and the high detection rate make the proposed detector attractive for real-time, low power applications.

  1. A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling.

    Science.gov (United States)

    Huang, Ruili

    2016-01-01

    The US Tox21 program has developed in vitro assays to test large collections of environmental chemicals in a quantitative high-throughput screening (qHTS) format, using triplicate 15-dose titrations to generate over 50 million data points to date. Counter screens are also employed to minimize interferences from non-target-specific assay artifacts, such as compound auto fluorescence and cytotoxicity. New data analysis approaches are needed to integrate these data and characterize the activities observed from these assays. Here, we describe a complete analysis pipeline that evaluates these qHTS data for technical quality in terms of signal reproducibility. We integrate signals from repeated assay runs, primary readouts, and counter screens to produce a final call on on-target compound activity.

  2. Demand Analysis of Informational Shipboard Gun Weapon System Interface Design

    Directory of Open Access Journals (Sweden)

    WANG Hui-chuan

    2013-04-01

    Full Text Available According to development demand of informational shipboard gun weapon system, design concept of shipboard gun weapon system interface is proposed. System composition is put forward and function demand of interface is analyzed from combat, training and detection aspects. General principle need to be followed in design process. A new concept is provided for development of shipboard gun weapon system interface.

  3. Illumina GA IIx& HiSeq 2000 Production Sequenccing and QC Analysis Pipelines at the DOE Joint Genome Institute

    Energy Technology Data Exchange (ETDEWEB)

    Daum, Christopher; Zane, Matthew; Han, James; Kennedy, Megan; San Diego, Matthew; Copeland, Alex; Li, Mingkun; Lucas, Susan

    2011-01-31

    The U.S. Department of Energy (DOE) Joint Genome Institute's (JGI) Production Sequencing group is committed to the generation of high-quality genomic DNA sequence to support the mission areas of renewable energy generation, global carbon management, and environmental characterization and clean-up. Within the JGI's Production Sequencing group, a robust Illumina Genome Analyzer and HiSeq pipeline has been established. Optimization of the sesequencer pipelines has been ongoing with the aim of continual process improvement of the laboratory workflow, reducing operational costs and project cycle times to increases ample throughput, and improving the overall quality of the sequence generated. A sequence QC analysis pipeline has been implemented to automatically generate read and assembly level quality metrics. The foremost of these optimization projects, along with sequencing and operational strategies, throughput numbers, and sequencing quality results will be presented.

  4. Analysis and Forecast for Timber Supply and Demand in China

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Based on the data from 2002 to 2010, the paper analyzed the situation of timber supply and demand in China, and concluded that supply-demand could be balanced basically if taking accounting of timber import. Based on the data from the Seventh National Forestry Inventory, the potential of providing timber from natural forest and plantation was analyzed. The paper also forecasted the future features and trend of timber supply and demand in China. In the end, strategic measures and technological and policy gua...

  5. Match analysis and the physiological demands of Australian football.

    Science.gov (United States)

    Gray, Adrian J; Jenkins, David G

    2010-04-01

    Australian Football, the most popular football code in Australia, is a contact sport played by two teams of 18 players who contest play over four 20-minute quarters; the object of the game is to score the most points through goal kicking. Sixteen professional senior sides compete against each other in the Australian Football League (AFL) and, similar to other football codes, game demands at the elite level in the AFL have changed considerably in recent years. Early time-motion analysis studies highlighted the long periods of time players spent in low intensity activities (standing and walking). While recent studies utilizing global positioning systems (GPS) technology are somewhat in agreement with earlier findings, available evidence suggests that the game is getting faster. For example, 'playing on' after a mark (a feature of the game where players who catch the ball on the full from a kick longer than 15 m are awarded a free kick) is now much quicker. Indeed, rule changes in recent years have increased the flow and speed of the game; there has been a reduction in the time taken for umpires to restart play, and for players to kick-in (after the opposition kicks a behind) or take a set shot at goal. Nomadic players (a broad term for midfielders and ruckmen because they follow play over the entire playing field) cover slightly greater distances (12,310 m) than both forwards (11,920 m) and backs (11,880 m) in a game. Compared with players in other positions, midfielders are consistently found to spend the most time at higher intensities (running and sprint efforts with movement velocities > 4.44 m/sec), complete more high intensity efforts (approximately 98 per game), sustain them for longer and have shorter recovery periods between high intensity exercise bouts (approximately 90 seconds on average). 'Ruckmen' have similar but less intense running profiles, while forwards and backs generally have less game involvement but have a more intermittent running profile

  6. The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization

    Science.gov (United States)

    Yepes-C, Fernando; Johnson, Rebecca; Lao, Yi; Hwang, Darryl; Coloigner, Julie; Yap, Felix; Bushan, Desai; Cheng, Phillip; Gill, Inderbir; Duddalwar, Vinay; Lepore, Natasha

    2016-03-01

    The characterization of tumors after being imaged is currently a qualitative process performed by skilled professionals. If we can aid their diagnosis by identifying quantifiable features associated with tumor classification, we may avoid invasive procedures such as biopsies and enhance efficiency. The aim of this paper is to describe the 3D EdgeRunner Pipeline which characterizes the shape of a tumor. Shape analysis is relevant as malignant tumors tend to be more lobular and benign ones tare generally more symmetrical. The method described considers the distance from each point on the edge of the tumor to the centre of a synthetically created field of view. The method then determines coordinates where the measured distances are rapidly changing (peaks) using a second derivative found by five point differentiation. The list of coordinates considered to be peaks can then be used as statistical data to compare tumors quantitatively. We have found this process effectively captures the peaks on a selection of kidney tumors.

  7. Research of dynamic analysis for submarine pipeline%海洋管线动力分析

    Institute of Scientific and Technical Information of China (English)

    杨冰卡; 朱克强; 朱艳杰; 秦道武; 章浩燕

    2013-01-01

    Submarine pipelines are widely used in the offshore engineering field. They are important flexible structures for the transportation of oil and gas, which are easy to have significant dynamic response due to dynamic factors such as waves and flow. Two models neglecting rotary inertia and shear deformation effects for static and dynamic analysis of submarine pipelines are present in this paper: universal analytic model of local coordinate and three-dimensional lumped parameter model. The Fouth Runge-Kutta method is adopted to integrate the motion equation. One example is also gived to verify the second model. The model can aslo be used for the dynamic analysis of slender stuctures such as mooring cables, rigid and flexible risers.%海洋管线广泛用于海洋工程领域,是一种运输石油和天然气的重要挠性构件,在波浪、流等动力因素作用下容易产生显著的动力响应.本文在忽略转动惯量和剪切应变的情况下介绍了2种用于海洋管线静动力分析的模型:局部坐标下的通用解析模型和三维凝聚参数模型.采用四阶龙格-库塔法积分运动方程,并计算一个实例验证了第二个模型,此模型还可以用于系泊缆、刚性或柔性立管等细长结构的动力分析.

  8. Electricity demand forecasting using regression, scenarios and pattern analysis

    CSIR Research Space (South Africa)

    Khuluse, S

    2009-02-01

    Full Text Available The objective of the study is to forecast national electricity demand patterns for a period of twenty years: total annual consumption and understanding seasonal effects. No constraint on the supply of electricity was assumed...

  9. Analysis of oil-pipeline distribution of multiple products subject to delivery time-windows

    Science.gov (United States)

    Jittamai, Phongchai

    This dissertation defines the operational problems of, and develops solution methodologies for, a distribution of multiple products into oil pipeline subject to delivery time-windows constraints. A multiple-product oil pipeline is a pipeline system composing of pipes, pumps, valves and storage facilities used to transport different types of liquids. Typically, products delivered by pipelines are petroleum of different grades moving either from production facilities to refineries or from refineries to distributors. Time-windows, which are generally used in logistics and scheduling areas, are incorporated in this study. The distribution of multiple products into oil pipeline subject to delivery time-windows is modeled as multicommodity network flow structure and mathematically formulated. The main focus of this dissertation is the investigation of operating issues and problem complexity of single-source pipeline problems and also providing solution methodology to compute input schedule that yields minimum total time violation from due delivery time-windows. The problem is proved to be NP-complete. The heuristic approach, a reversed-flow algorithm, is developed based on pipeline flow reversibility to compute input schedule for the pipeline problem. This algorithm is implemented in no longer than O(T·E) time. This dissertation also extends the study to examine some operating attributes and problem complexity of multiple-source pipelines. The multiple-source pipeline problem is also NP-complete. A heuristic algorithm modified from the one used in single-source pipeline problems is introduced. This algorithm can also be implemented in no longer than O(T·E) time. Computational results are presented for both methodologies on randomly generated problem sets. The computational experience indicates that reversed-flow algorithms provide good solutions in comparison with the optimal solutions. Only 25% of the problems tested were more than 30% greater than optimal values and

  10. Risk Analysis on Leakage Failure of Natural Gas Pipelines by Fuzzy Bayesian Network with a Bow-Tie Model

    Directory of Open Access Journals (Sweden)

    Xian Shan

    2017-01-01

    Full Text Available Pipeline is the major mode of natural gas transportation. Leakage of natural gas pipelines may cause explosions and fires, resulting in casualties, environmental damage, and material loss. Efficient risk analysis is of great significance for preventing and mitigating such potential accidents. The objective of this study is to present a practical risk assessment method based on Bow-tie model and Bayesian network for risk analysis of natural gas pipeline leakage. Firstly, identify the potential risk factors and consequences of the failure. Then construct the Bow-tie model, use the quantitative analysis of Bayesian network to find the weak links in the system, and make a prediction of the control measures to reduce the rate of the accident. In order to deal with the uncertainty existing in the determination of the probability of basic events, fuzzy logic method is used. Results of a case study show that the most likely causes of natural gas pipeline leakage occurrence are parties ignore signage, implicit signage, overload, and design defect of auxiliaries. Once the leakage occurs, it is most likely to result in fire and explosion. Corresponding measures taken on time will reduce the disaster degree of accidents to the least extent.

  11. Phoenix 2: a locally installable large-scale 16S rRNA gene sequence analysis pipeline with Web interface.

    Science.gov (United States)

    Soh, Jung; Dong, Xiaoli; Caffrey, Sean M; Voordouw, Gerrit; Sensen, Christoph W

    2013-09-20

    We have developed Phoenix 2, a ribosomal RNA gene sequence analysis pipeline, which can be used to process large-scale datasets consisting of more than one hundred environmental samples and containing more than one million reads collectively. Rapid handling of large datasets is made possible by the removal of redundant sequences, pre-partitioning of sequences, parallelized clustering per partition, and subsequent merging of clusters. To build the pipeline, we have used a combination of open-source software tools and custom-developed Perl scripts. For our project we utilize hardware-accelerated searches, but it is possible to reconfigure the analysis pipeline for use with generic computing infrastructure only, with a considerable reduction in speed. The set of analysis results produced by Phoenix 2 is comprehensive, including taxonomic annotations using multiple methods, alpha diversity indices, beta diversity measurements, and a number of visualizations. To date, the pipeline has been used to analyze more than 1500 environmental samples from a wide variety of microbial communities, which are part of our Hydrocarbon Metagenomics Project (http://www.hydrocarbonmetagenomics.com). The software package can be installed as a local software suite with a Web interface. Phoenix 2 is freely available from http://sourceforge.net/projects/phoenix2.

  12. Thermohydraulics analysis for pipeline increase capacity; Estudo termohidraulico para ampliacao de capacidade de oleodutos

    Energy Technology Data Exchange (ETDEWEB)

    Carneiro, Leonardo Motta; Krause, Philipe Barroso; Pires, Luis Fernando G. [Pontificia Univ. Catolica do Rio de Janeiro (PUC-Rio), RJ (Brazil). Dept. de Engenharia Mecanica. Nucleo de Simulacao Termohidraulica de Dutos - SIMDUT; Souza, Antonio Geraldo de [TRANSPETRO, Rio de Janeiro, RJ (Brazil)

    2008-07-01

    This paper intent to assist the development of a oil pipeline expansion study. It will show that each pipeline has its own solution, because it has several variables of technical, economical and environmental order, as well as several ones of political nature. (author)

  13. Numerical Analysis of Damage Iinitiation and Development in Bends of Steel Pipelines

    NARCIS (Netherlands)

    Swart, A.E.

    2010-01-01

    Gasses and fluids are transported via an extensive infrastructure of steel pipelines. In the design of pipeline systems the use of elbows (pipe bends) is important because their flexibility makes them able to sustain significant deformations. These bends can be subjected to permanent deformations

  14. Numerical Analysis of Damage Iinitiation and Development in Bends of Steel Pipelines

    NARCIS (Netherlands)

    Swart, A.E.

    2010-01-01

    Gasses and fluids are transported via an extensive infrastructure of steel pipelines. In the design of pipeline systems the use of elbows (pipe bends) is important because their flexibility makes them able to sustain significant deformations. These bends can be subjected to permanent deformations du

  15. Skin conditions in primary care: an analysis of referral demand.

    Science.gov (United States)

    Castillo-Arenas, E; Garrido, V; Serrano-Ortega, S

    2014-04-01

    Skin conditions are among the main reasons for seeking primary health care. Primary care physicians (PCPs) must diagnose skin conditions and determine their impact, and must therefore incorporate the relevant knowledge and skills into their education. The present study analyzes the reasons for primary care referral to dermatology (referral demand) as well as diagnostic agreement between PCPs and dermatologists informed by pathology where appropriate. Data were collected for 755 patients and 882 initial dermatology appointments from February 1, 2012 through April 30, 2012 following primary care referral. Data obtained included age, sex, occupation, reason for referral, primary care diagnosis, and dermatologic diagnosis. Statistical analysis of the data for each diagnosed condition identified frequency, reasons for referral, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the κ statistic for diagnostic agreement. The most common diagnoses were seborrheic keratosis, melanocytic nevus, actinic keratosis, and acne. The main reason for referral was diagnostic assessment (52.5%). For skin tumors, sensitivity of primary care diagnosis was 22.4%, specificity 94.7%, PPV 40.7%, and NPV 88.3%, with a κ of 0.211. For the more common diagnoses, primary care sensitivity was generally low and specificity high. According to our results, primary care physicians are better qualified to rule out a given skin condition in a patient (high specificity) than to establish an accurate clinical diagnosis (poor sensitivity). This suggests that knowledge and skills training should be organized for primary care physicians to improve management of skin conditions-especially skin cancer, because of its impact. A more responsive system would ensue, with shorter waiting lists and better health care. Copyright © 2013 Elsevier España, S.L. and AEDV. All rights reserved.

  16. FEM modeling for 3D dynamic analysis of deep-ocean mining pipeline and its experimental verification

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    3D dynamic analysis models of 1000 m deep-ocean mining pipeline, including steel lift pipe, pump, buffer and flexible hose, were established by finite element method (FEM). The coupling effect of steel lift pipe and flexible hose, and main external loads of pipeline were considered in the models, such as gravity, buoyancy, hydrodynamic forces, internal and external fluid pressures, concentrated suspension buoyancy on the flexible hose, torsional moment and axial force induced by pump working.Some relevant FEM models and solution techniques were developed, according to various 3D transient behaviors of integrated deep-ocean mining pipeline, including towing motions of track-keeping operation and launch process of pipeline. Meanwhile, an experimental verification system in towing water tank that had similar characteristics of designed mining pipeline was developed to verify the accuracy of the FEM models and dynamic simulation. The experiment results show that the experimental records and simulation results of stress of pipe are coincided. Based on the further simulations of 1 000 m deep-ocean mining pipeline, the simulation results show that, to form configuration of a saddle shape, the total concentrated suspension buoyancy of flexible hose should be 95%-105% of the gravity of flexible hose in water, the first suspension point occupies 1/3 of the total buoyancy, and the second suspension point occupies 2/3 of the total buoyancy. When towing velocity of mining system is less than 0.5 m/s, the towing track of buffer is coincided with the setting route of ship on the whole and the configuration of flexible hose is also kept well.

  17. The Geneva Reduction and Analysis Pipeline for High-contrast Imaging of planetary Companions

    Science.gov (United States)

    Hagelberg, J.; Ségransan, D.; Udry, S.; Wildi, F.

    2016-01-01

    We present GRAPHIC, a new angular differential imaging reduction pipeline where all geometric image operations are based on Fourier transforms. To achieve this goal the entire pipeline is parallelized making it possible to reduce large amounts of observation data without the need to bin the data. The specific rotation and shift algorithms based on Fourier transforms are described and performance comparison with conventional interpolation algorithm is given. Tests using fake companions injected in real science frames demonstrate the significant gain obtained by using geometric operations based on Fourier transforms compared to conventional interpolation. This also translates in a better point spread function and speckle subtraction with respect to conventional reduction pipelines, achieving detection limits comparable to current best performing pipelines. Flux conservation of the companions is also demonstrated. This pipeline is currently able to reduce science data produced by Very Large Telescope (VLT)/NACO, Gemini/NICI, VLT/SPHERE, and Subaru/SCExAO.

  18. The Geneva Reduction and Analysis Pipeline for High-contrast Imaging of planetary Companions

    CERN Document Server

    Hagelberg, J; Udry, S; Wildi, F

    2015-01-01

    We present GRAPHIC, an new angular differential imaging (ADI) reduction pipeline where all geometric image operations are based on Fourier transforms. To achieve this goal the entire pipeline is parallelised making it possible to reduce large amounts of observation data without the need to bin the data. The specific rotation and shift algorithms based on Fourier transforms are described and performance comparison with conventional interpolation algorithm are given. Tests using fake companions injected in real science frames demonstrate the significant gain obtained by using geometric operations based on Fourier transforms compared to conventional interpolation. This also translates in a better point spread function and speckle subtraction with respect to conventional reduction pipelines, achieving detection limits comparable to current best performing pipelines. Flux conservation of the companions is also demonstrated. This pipeline is currently able to reduce science data produced by VLT/NACO, Gemini/NICI, V...

  19. Personality and coping with professional demands: a behavioral genetics analysis.

    Science.gov (United States)

    Maas, Heike; Spinath, Frank M

    2012-07-01

    Work-related mental health problems lead to individual ill-being but also absenteeism and early retirement from work. As such, it is desirable to diagnose strain and coping deficits before mental or physical symptoms occur in order to provide interventions early. Work engagement, resistance to stress, and occupational attitude toward life are three facets of coping with professional demands that are related to psychological health (Kieschke & Schaarschmidt, 2003). Personality, defined as characteristic patterns of thoughts, feelings, and behaviors over time and across situations, is also associated with health and well-being. To understand who becomes ill and why and to provide adequate interventions, we investigated the relations between personality and coping with professional demands, as well as the etiological basis of this relation. Personality and coping with professional demands (work engagement, resistance to stress, and occupational attitude toward life) were assessed in a sample of 302 monozygotic and dizygotic adult twin pairs. Correlations between personality and coping with professional demands were moderate (r range: -0.61 to 0.37). All scales except occupational attitude toward life showed significant heritabilities. Genetic and environmental influences on coping with professional demands were largely independent of genetic and environmental effects on personality. These findings suggest that interventions should focus on work engagement, resistance to stress, and occupational attitude toward life without specific considering of personality.

  20. Leadership Pipeline

    DEFF Research Database (Denmark)

    Elmholdt, Claus Westergård

    2012-01-01

    Artiklen analyserer grundlaget for Leadership Pipeline modellen med henblik på en vurdering af substansen bag modellen, og perspektiverne for generalisering af modellen til en dansk organisatorisk kontekst.......Artiklen analyserer grundlaget for Leadership Pipeline modellen med henblik på en vurdering af substansen bag modellen, og perspektiverne for generalisering af modellen til en dansk organisatorisk kontekst....

  1. Energy demand analysis in the workshop on alternative energy strategies

    Energy Technology Data Exchange (ETDEWEB)

    Carhart, S C

    1978-04-01

    The Workshop on Alternative Energy Strategies, conducted from 1974 through 1977, was an international study group formed to develop consistent national energy alternatives within a common analytical framework and global assumptions. A major component of this activity was the demand program, which involved preparation of highly disaggregated demand estimates based upon estimates of energy-consuming activities and energy requirements per unit of activity reported on a consistent basis for North America, Europe, and Japan. Comparison of the results of these studies reveals that North America requires more energy per unit of activity in many consumption categories, that major improvements in efficiency will move North America close to current European and Japanese efficiencies, and that further improvements in European and Japanese efficiencies may be anticipated as well. When contrasted with expected availabilities of fuels, major shortfalls of oil relative to projected demands emerge in the eighties and nineties. Some approaches to investment in efficiency improvements which will offset these difficulties are discussed.

  2. Analysis of power demand signal in laboratory rotary mixer

    Directory of Open Access Journals (Sweden)

    K. Smyksy

    2010-04-01

    Full Text Available The paper summarises the power measurement data for the main assemblies in a prototype turbine mixers for laboratory applications. Of particular interest are power demand signals in the paddle stirrer and the rotor. Tests were performed for the variable moisture content of the moulding sand containing bentonite. The process is described as dynamic and considered from the standpoint of automatics. Potential applications of the power demand signal are investigated in the context of the study of dynamics of the mixing processes, in terms of control of the water feeding to the moulding sand and for the purpose of evaluating the energy consumption.

  3. Life Cycle Analysis of Bitumen Transportation to Refineries by Rail and Pipeline.

    Science.gov (United States)

    Nimana, Balwinder; Verma, Aman; Di Lullo, Giovanni; Rahman, Md Mustafizur; Canter, Christina E; Olateju, Babatunde; Zhang, Hao; Kumar, Amit

    2017-01-03

    Crude oil is currently transported primarily by pipelines and rail from extraction sites to refineries around the world. This research evaluates energy use and greenhouse gas (GHG) emissions for three scenarios (synthetic crude oil and dilbit with and without diluent return) in which 750 000 bpd of Alberta's bitumen is transported 3000 km to determine which method has a lower environmental impact. Each scenario has a pipeline and rail pathway, and the dilbit without diluent return scenario has an additional heated bitumen pathway, which does not require diluent. An Excel based bottom-up model is developed using engineering first-principles to calculate mass and energy balances for each process. Results show that pipeline transportation produced between 61% and 77% fewer GHG emissions than by rail. The GHG emissions decreased by 15% and 73% for rail and pipelines as the capacity increased from 100 000 to 800 000 bpd. A Monte Carlo simulation was performed to determine the uncertainty in the emissions and found that the uncertainty was larger for pipelines (up to ±73%) and smaller for rail (up to ±28%). The uncertainty ranges do not overlap, thus confirming that pipelines have lower GHG emissions, which is important information for policy makers conducting pipeline reviews.

  4. State Aid and Student Performance: A Supply-Demand Analysis

    Science.gov (United States)

    Kinnucan, Henry W.; Zheng, Yuqing; Brehmer, Gerald

    2006-01-01

    Using a supply-demand framework, a six-equation model is specified to generate hypotheses about the relationship between state aid and student performance. Theory predicts that an increase in state or federal aid provides an incentive to decrease local funding, but that the disincentive associated with increased state aid is moderated when federal…

  5. Alignment analysis of urban railways based on passenger travel demand

    DEFF Research Database (Denmark)

    Andersen, Jonas Lohmann Elkjær; Landex, Alex

    2010-01-01

    Planning of urban railways like Metro and especially Light Rail Transit often result in multiple alignment alternatives from where it can be difficult to select the best one. Travel demand is a good foundation for evaluating a railway alignment for its ability to attract passengers. Therefore...... and can be applied as decision support in different stages of the urban railway alignment planning....

  6. An Analysis of the Demand for Postgraduate Educational Science Programs

    Science.gov (United States)

    Aslan, Gulay

    2014-01-01

    This study, aimed to determine the variables that have a role in the emergence of individual demand for postgraduate educational sciences programs, is a descriptive one. The sample of the study consisted of 222 postgraduate students from Ankara University, a developed university, and Gaziosmanpasa University, a developing university. The data was…

  7. Analysis of Electrospraying as an On-demand Deposition Method

    NARCIS (Netherlands)

    Stachewicz , U.

    2010-01-01

    The goal of this thesis was to investigate the stability regime for electrospraying events. First of all, we wanted to use electrospraying as an on-demand volume deposition technology. For this purpose, a well controlled and precise liquid ejection was obtained. Instead of generating a continuous sp

  8. Economic Analysis of Water Demand in Greenhouses of Khash Township

    Directory of Open Access Journals (Sweden)

    Javad Shahraki

    2014-06-01

    Full Text Available The main goal of this study was to investigate the way of affecting of water in production of cucumber. From aspect of econometrics, mutual relationships of production function and expenses have been analysed in which Translog cost function has been used. This function has been estimated using the conditional input demand functions, the shefard theorem, chemical fertilizer, animal fertilizer, labour force, seed, and pesticide in the framework of a system of equations by taking advantage of the irrelevant regression method. Applied inputs is for 151 cucumber Beneficiaries in Khash in farming year of 2011-12 that insider and crossing tendency of input demand for this product has been investigated through collecting questionnaires and using obtained coefficients. The results show that the translog cost model is a good fit compared to the data of research. According to the reviews, demand for water has a minor Insidersuccession tendency more than one which shows possible stretch of demand function rather than the price of the inputs. Hence, appropriate pricing policies can be used to take a positive step in preventing the extreme usage of this input and directing beneficiaries for optimum use of these inputs.

  9. An econometric analysis of electricity demand in Japan

    OpenAIRE

    1997-01-01

    The use of electricity touches every aspect of daily life. The electrification of the Japanese economy has led to a better quality of life and contributed to the improvement of economic efficiency. While the demand and supply of electricity is one of ...

  10. An automated data analysis pipeline for GC-TOF-MS metabonomics studies.

    Science.gov (United States)

    Jiang, Wenxin; Qiu, Yunping; Ni, Yan; Su, Mingming; Jia, Wei; Du, Xiuxia

    2010-11-05

    Recent technological advances have made it possible to carry out high-throughput metabonomics studies using gas chromatography coupled with time-of-flight mass spectrometry. Large volumes of data are produced from these studies and there is a pressing need for algorithms that can efficiently process and analyze data in a high-throughput fashion as well. We present an Automated Data Analysis Pipeline (ADAP) that has been developed for this purpose. ADAP consists of peak detection, deconvolution, peak alignment, and library search. It allows data to flow seamlessly through the analysis steps without any human intervention and features two novel algorithms in the analysis. Specifically, clustering is successfully applied in deconvolution to resolve coeluting compounds that are very common in complex samples and a two-phase alignment process has been implemented to enhance alignment accuracy. ADAP is written in standard C++ and R and uses parallel computing via Message Passing Interface for fast peak detection and deconvolution. ADAP has been applied to analyze both mixed standards samples and serum samples and identified and quantified metabolites successfully. ADAP is available at http://www.du-lab.org .

  11. Energy cost reduction in oil pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Limeira, Fabio Machado; Correa, Joao Luiz Lavoura; Costa, Luciano Macedo Josino da; Silva, Jose Luiz da; Henriques, Fausto Metzger Pessanha [Petrobras Transporte S.A. (TRANSPETRO), Rio de Janeiro, RJ (Brazil)

    2012-07-01

    One of the key questions of modern society consists on the rational use of the planet's natural resources and energy. Due to the lack of energy, many companies are forced to reduce their workload, especially during peak hours, because residential demand reaches its top and there is not enough energy to fulfill the needs of all users, which affects major industries. Therefore, using energy more wisely has become a strategic issue for any company, due to the limited supply and also for the excessive cost it represents. With the objective of saving energy and reducing costs for oil pipelines, it has been identified that the increase in energy consumption is primordially related to pumping stations and also by the way many facilities are operated, that is, differently from what was originally designed. Realizing this opportunity, in order to optimize the process, this article intends to examine the possibility of gains evaluating alternatives regarding changes in the pump scheme configuration and non-use of pump stations at peak hours. Initially, an oil pipeline with potential to reduce energy costs was chosen being followed by a history analysis, in order to confirm if there was sufficient room to change the operation mode. After confirming the pipeline choice, the system is briefly described and the literature is reviewed, explaining how the energy cost is calculated and also the main characteristics of a pumping system in series and in parallel. In that sequence, technically feasible alternatives are studied in order to operate and also to negotiate the energy demand contract. Finally, costs are calculated to identify the most economical alternative, that is, for a scenario with no increase in the actual transported volume of the pipeline and for another scenario that considers an increase of about 20%. The conclusion of this study indicates that the chosen pipeline can achieve a reduction on energy costs of up to 25% without the need for investments in new

  12. Bank Credit and Aggregate Import Demand in Nigeria: A Cointegration Analysis

    Directory of Open Access Journals (Sweden)

    Philip Chimobi Omoke

    2012-06-01

    Full Text Available This study reformulated the aggregate import demand for Nigeria by including a financial variable (bank credit into the traditional import demand function for the period 1970-2009. The Johansen Multivariate cointegration analysis was used to estimate the function. The result obtained from the study shows no evidence of the existence of cointegrating relations between bank credit and import demand. This shows that bank credit is found to be insufficient as a policy instrument for long term import demand in Nigeria. Thus, the financial variable should not be included in modelling the aggregate import demand for Nigeria.

  13. Research on Rural Consumer Demand in Hebei Province Based on Principal Component Analysis

    OpenAIRE

    MA Hui-zi; Zhao, Bang-hong; Xuan, Yong-sheng

    2011-01-01

    By selecting me time sequence data concerning influencing factors of rural consumer demand in Hebei Province from 2000 to 2010, this paper uses the principal component analysis method in multiplex econometric statistical analysis, constructs the principal component of consumer demand in Hebei Province, conducts regression on the dependent variable of consumer spending per capita in Hebei Province and the principal component of consumer demand so as to get principal component regression, and t...

  14. Customisation of the exome data analysis pipeline using a combinatorial approach.

    Directory of Open Access Journals (Sweden)

    Swetansu Pattnaik

    Full Text Available The advent of next generation sequencing (NGS technologies have revolutionised the way biologists produce, analyse and interpret data. Although NGS platforms provide a cost-effective way to discover genome-wide variants from a single experiment, variants discovered by NGS need follow up validation due to the high error rates associated with various sequencing chemistries. Recently, whole exome sequencing has been proposed as an affordable option compared to whole genome runs but it still requires follow up validation of all the novel exomic variants. Customarily, a consensus approach is used to overcome the systematic errors inherent to the sequencing technology, alignment and post alignment variant detection algorithms. However, the aforementioned approach warrants the use of multiple sequencing chemistry, multiple alignment tools, multiple variant callers which may not be viable in terms of time and money for individual investigators with limited informatics know-how. Biologists often lack the requisite training to deal with the huge amount of data produced by NGS runs and face difficulty in choosing from the list of freely available analytical tools for NGS data analysis. Hence, there is a need to customise the NGS data analysis pipeline to preferentially retain true variants by minimising the incidence of false positives and make the choice of right analytical tools easier. To this end, we have sampled different freely available tools used at the alignment and post alignment stage suggesting the use of the most suitable combination determined by a simple framework of pre-existing metrics to create significant datasets.

  15. DEVELOPMENT OF MILK CONSUMPTION AND MARKETING ANALYSIS OF ITS DEMAND

    OpenAIRE

    Marta Habánová; Ľubica Kubicová

    2012-01-01

    The strategy of most households is to eliminate the negative effects of economic changes related mainly to the economic crisis by mobilizing available resources and reducing costs, but which cloud lead to a decrease in food consumption and changes in consumption patterns. Pensions and prices are factors that shape the demand for food and other estates. Both of these factors guarantee the economic viability of nutrition. Paper analyzes the development of the of milk consumption and level of it...

  16. Analysis of physical demands during bulk bag closing and sealing.

    Science.gov (United States)

    Nasarwanji, Mahiyar F; Reardon, Leanna M; Heberger, John R; Dempsey, Patrick G

    2016-05-01

    Several tools are sold and recommended for closing and sealing flexible intermediate bulk containers (bulk bags) which are used to transport product that has been mined and processed. However, there is limited information on the risks, physical demands, or the benefits of using one tool over another. The purpose of this study was to evaluate the physical demands involved with two closing methods and several sealing tools in order to provide recommendations for selecting tools to reduce exposure to risk factors for work-related musculoskeletal disorders. In this study, twelve participants completed bag closing and sealing tasks using two different closing methods and eight sealing tools on two types of bulk bags. Physical demands and performance were evaluated using muscle activity, perceived exertion, subjective ratings of use, and time. Results indicate that using the "flowering" method to close bags required on average 32% less muscle activity, 30% less perceived exertion, 42% less time, and was preferred by participants compared to using the "snaking" method. For sealing, there was no single method significantly better across all measures; however, using a pneumatic cable tie gun consistently had the lowest muscle activity and perceived exertion ratings. The pneumatic cable tie gun did require approximately 33% more time to seal the bag compared to methods without a tool, but the amount of time to seal the bag was comparable to using other tools. Further, sealing a spout bulk bag required on average 13% less muscle activity, 18% less perceived exertion, 35% less time, and was preferred by participants compared to sealing a duffle bulk bag. The current results suggest that closing the spout bag using the flowering method and sealing the bag using the pneumatic cable tie gun that is installed with a tool balancer is ergonomically advantageous. Our findings can help organizations select methods and tools that pose the lowest physical demands when closing and

  17. Experimental and Numerical Analysis of a Water Emptying Pipeline Using Different Air Valves

    Directory of Open Access Journals (Sweden)

    Oscar E. Coronado-Hernández

    2017-02-01

    Full Text Available The emptying procedure is a common operation that engineers have to face in pipelines. This generates subatmospheric pressure caused by the expansion of air pockets, which can produce the collapse of the system depending on the conditions of the installation. To avoid this problem, engineers have to install air valves in pipelines. However, if air valves are not adequately designed, then the risk in pipelines continues. In this research, a mathematical model is developed to simulate an emptying process in pipelines that can be used for planning this type of operation. The one-dimensional proposed model analyzes the water phase propagation by a new rigid model and the air pockets effect using thermodynamic formulations. The proposed model is validated through measurements of the air pocket absolute pressure, the water velocity and the length of the emptying columns in an experimental facility. Results show that the proposed model can accurately predict the hydraulic characteristic variables.

  18. ANALYSIS OF DEPENDENCE BETWEEN CAPITAL EXPENDUTURES OF CONSTRUCTION WORKS AND GAS DISTRIBUTION PIPELINE DIAMETER

    Directory of Open Access Journals (Sweden)

    Tabunshchikov Yuriy Andreevich

    2012-10-01

    The research also contemplates the structure of expenses associated with the piping of gas distribution networks. Mathematical equations have been derived to perform sufficiently accurate calculations of costs of construction of various types and various lengths of gas pipelines.

  19. Analysis of results from cleaning of the Druzhba crude oil pipeline by spherical dividers

    Energy Technology Data Exchange (ETDEWEB)

    Konstantinov, G.A.; Kaganov, O.Ya.; Golosovker, V.I.

    1968-11-01

    In Dec. 1967 and Jan. 1968, rubber pigs were passed through 768 km of 1,000 mm diam Druzhba crude oil pipeline. The rubber pigs removed paraffin deposits as well as water vapor and obstructions. With this cleaning procedure, capacity of the pipeline was increased 10%. The pigs occupied 98% of the internal pipeline cross section. The mechanism of pig cleaning action in the line is explained and analytical procedures used to measure the degree of cleaning action are described. Best cleaning action results when the pigs are equipped with knife-like cutting edges. Progress of the pig through the line was controlled by the liquid pumping rate and followed by manometric determinations. About 6,500 tons of solid paraffin were removed from the pipeline.

  20. Analysis of Dynamic Characteristics of Submarine Free Spanning Pipelines by Complex Damping Method

    Institute of Scientific and Technical Information of China (English)

    傅强; 郭海燕; 杨新华

    2004-01-01

    Considering the effect of the internal flowing fluid and the external marine environmental condition, the differential equation for the vortex-induced vibration (VIV) of the free spanning pipeline is derived and is discretized by the Hermit interpolation function. The free vibration equation with the damping term is solved by the complex damping method for the natural frequency, and then the effect of fluid damping on the natural frequency of the free spanning pipeline is analyzed.The results show that fluid damping has a significant influence on the damped natural frequency of the free spanning pipeline in the lock-in state, while it has little influence when the pipeline is out of the lock-in state. In the meantime,the change of the free span length has the same effect on the damped natural frequency and the undamped natural frequency.

  1. Risk Analysis of Central Java Gas Transmission Pipeline by Risk-Based Inspection Method

    Science.gov (United States)

    Mediansyah; Haryadi, G. D.; Ismail, R.; Kim, S. J.

    2017-05-01

    During the operational period of gas transmission pipeline was found a potential hazard that could result in pipeline failure. As a consequence, the problem of the pipeline failure happening more and more. Economic and environmental factors, as well as human life, be considered to involve the current challenges as structural integrity and safety standards. Therefore, the reliability of structural integrity and security of gas pipelines under various conditions, including the existence of defects should be carefully evaluated. The results of this study were the steps for setting a Risk Level on any instrument using the Risk-Based Inspection API 581 standard and the subsequent results are recommended as an effective inspection planning by Risk Level and Remaining Life Time.

  2. Analysis of several ways to minimize the scatter contribution in radiographic digital images of offshore pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Souza, Edmilson M.; Silva, Ademir X.; Lopes, Ricardo T., E-mail: emonteiro@nuclear.ufrj.b, E-mail: ademir@nuclear.ufrj.b, E-mail: Ricardo@lin.ufrj.b [Coordenacao dos Programas de Pos-Graduacao de Engenharia (PEN/COPPE/UFRJ), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Nuclear; Correa, Samanda C.A., E-mail: scorrea@cnen.gov.b [Comissao Nacional de Energia Nuclear (DIAPI/CGMI/CNEN), Rio de Janeiro, RJ (Brazil). Coordenacao Geral de Instalacoes Medicas e Industriais. Div. de Aplicacoes Industriais

    2011-07-01

    The aim of this work is to evaluate, through MCNPX simulations, several ways to minimize the scatter contribution in radiographic digital images of offshore pipelines. The influence of liquid inside the pipes and water surrounded the pipelines in the scatter contribution will be analyzed. The use of lead screen behind the detector to reduce the backscattered radiation and filter between the radiation source and the pipes will be discussed. (author)

  3. Pipeline ADC Design Methodology

    OpenAIRE

    Zhao, Hui

    2012-01-01

    Demand for high-performance analog-to-digital converter (ADC) integrated circuits (ICs) with optimal combined specifications of resolution, sampling rate and power consumption becomes dominant due to emerging applications in wireless communications, broad band transceivers, digital-intermediate frequency (IF) receivers and countless of digital devices. This research is dedicated to develop a pipeline ADC design methodology with minimum power dissipation, while keeping relatively high speed an...

  4. Pipeline ADC Design Methodology

    OpenAIRE

    Zhao, Hui

    2012-01-01

    Demand for high-performance analog-to-digital converter (ADC) integrated circuits (ICs) with optimal combined specifications of resolution, sampling rate and power consumption becomes dominant due to emerging applications in wireless communications, broad band transceivers, digital-intermediate frequency (IF) receivers and countless of digital devices. This research is dedicated to develop a pipeline ADC design methodology with minimum power dissipation, while keeping relatively high speed an...

  5. Operation and design of gas pipeline with cross geographical areas with big altitude changes: importance of the dynamic analysis; Diseno y operacion de gasoductos en zonas de elevadas diferencias altimetricas: importancia del analisis dinamico

    Energy Technology Data Exchange (ETDEWEB)

    Alvarez, Oscar [Transportadora de Gas del Norte S.A. (Argentina)

    2003-07-01

    The Natural Gas Demand has increased constantly in the last decades. It was mainly due to the discovery of enormous gas reserves, the opening of the energetic markets and its utilization as fuel for power generation The supply of new markets in Latin America has meant the development of several interconnection projects among countries. The development of projects crossing the Andes Mountains, with big altitude differences, impose new requirements for the design and pipeline operation The purpose of this paper is to continue the analysis of the gas pipeline modeling methods which cross geographical areas with big altitude changes, specifically under the dynamic point of view In these cases, the operating parameters are strongly linked to the analysis and comprehension of transient phenomenon and consequently an efficient line pack management. The demand suing is fundamental when systems crossing this kind of geographical areas are designed and operated The design should consider the response time, having capacity to support a demand variation. Finally the impact in the commercial operation of this phenomenon is analyzed, due to the possibility to detect idle capacity or optimize solutions, reducing investment and assurance an operation without risks. Thus in the design period , the capability of bringing a reliability service at a reduced cost is emphasized in benefit of the customers. (author)

  6. Model Test Based Soil Spring Model and Application in Pipeline Thermal Buckling Analysis

    Institute of Scientific and Technical Information of China (English)

    GAO Xi-feng; LIU Run; YAN Shu-wang

    2011-01-01

    The buckling of submarine pipelines may occur due to the action of axial soil frictional force caused by relative movement of soil and pipeline,which is induced by the thermal and internal pressure.The likelihood of occurrence of this buckling phenomenon is largely determined by soil resistance.A series of large-scale model tests were carried out to facilitate the establishment of substantial data base for a variety of burial pipeline relationships.Based on the test data,nonlinear soil spring can be adopted to simulate the soil behavior during the pipeline movement.For uplift resistance,an ideal elasticity plasticity model is recommended in the case of H/D (depth-to-diameter ratio)>5 and an elasticity softened model is recommended in the case of H/D≤5.The soil resistance along the pipeline axial direction can be simulated by an ideal elasticity plasticity model.The numerical analyzing results show that the capacity of pipeline against thermal buckling decreases with its initial imperfection enlargement and increases with the burial depth enhancement.

  7. Stress and thermal expansion numerical analysis of subsea buried pipelines; Analise numerica de tensoes e expansao termica de dutos submarinos enterrados

    Energy Technology Data Exchange (ETDEWEB)

    Souto, Marcio de S.; Vaz, Murilo A. [Universidade Federal, Rio de Janeiro, RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia; Solano, Rafael F. [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil)

    2005-07-01

    The design of Capixaba North Terminal pipelines (TNC) became very complex, once the pipelines are exposed to elevated temperature variations. As the pipelines are buried, the interaction with the seabed can become critical with the thermal expansion development, since an axial compressive force arise, reaching critical values and then leading the pipeline to the thermo mechanical instability phenomenon. To minimize these effects, the pipeline will cross the shore approach through a horizontal directional drilling, and expansion loops and intermediate tie-ins took place on his route in order to permit pipeline displacements, working thermally. The objective of this present work is to develop a numerical model, able to analyze the entire pipeline stress, strain and displacements, considering different kinds of soil along of his route. The influence of expansion loops is evaluated and a comparative analysis in order to discover the minimum curvature radius at the directional drilling region is carried out. This study defines a methodology based on the developed numerical model which will be extended to future applications in subsea buried pipeline design. (author)

  8. Study on H2S stress corrosion test of welded joint for X65 pipeline steel and numerical analysis

    Institute of Scientific and Technical Information of China (English)

    金晓军; 霍立兴; 张玉凤; 白秉仁; 李晓巍; 曹军

    2004-01-01

    The susceptibility of welded joint for the X65 pipeline steel to H2S stress corrosion cracking (SCC) is investigated. SCC tests on the steel are carried out in the environment based on NACE TM-01-77 solution with saturated gaseous H2S. The threshold stress intensity factor and crack propagation velocity are calculated according to wedge-opening loading (WOL) specimens. The three-dimensional elastic-plastic finite element analysis of WOL specimens is performed by using the FEM programming package ANSYS. Stress field and concentration of hydrogen distribution property ahead of the crack tip are obtained. This paper surveyed the microstructure of welded joint and studied on the mechanical properties of X65 pipeline steel. It provides experimental basis for studying stress corrosion. The results of numerical analysis are consistent with conclusions of stress corrosion test.

  9. DEVELOPMENT OF MILK CONSUMPTION AND MARKETING ANALYSIS OF ITS DEMAND

    Directory of Open Access Journals (Sweden)

    Marta Habánová

    2012-12-01

    Full Text Available The strategy of most households is to eliminate the negative effects of economic changes related mainly to the economic crisis by mobilizing available resources and reducing costs, but which cloud lead to a decrease in food consumption and changes in consumption patterns. Pensions and prices are factors that shape the demand for food and other estates. Both of these factors guarantee the economic viability of nutrition. Paper analyzes the development of the of milk consumption and level of its substitution by milk products. There was quantified the elasticity of demand and  estimated own price elasticity and income elasticity. For the past 17 years, consumption of milk, except cheese, cottage cheese, sour milk products and butter, decreased. Expressed by linear regression model in recent years (since 1995 in Slovakia occurred overall reduction in the consumption of milk and dairy products by an average of 0.988 kg per capita per year. This development was mainly conditioned by the annual descent of demand for milk, as its consumption with little variation in average decreased annually by up to 1.88 kg per capita. This development is largely due to the increase of milk prices and especially the increasing supply of a wide range of quality and flavored sour milk and cheese products. Acidified milk product consumption in recent observed years increased and is expressed by the average growth factor of 0.6748 kg per capita per year. Prognosis with a five percent risk of error of estimate could increase their consumption up to 13.936 kg per capita in 2014. Consumption of cheese and curd should the increase the current trend by an average of 0.0476 kg per person and would be able to achieve the level of consumption of 11.03 kg per capita in 2014.doi:10.5219/236

  10. [MEG]PLS: A pipeline for MEG data analysis and partial least squares statistics.

    Science.gov (United States)

    Cheung, Michael J; Kovačević, Natasa; Fatima, Zainab; Mišić, Bratislav; McIntosh, Anthony R

    2016-01-01

    The emphasis of modern neurobiological theories has recently shifted from the independent function of brain areas to their interactions in the context of whole-brain networks. As a result, neuroimaging methods and analyses have also increasingly focused on network discovery. Magnetoencephalography (MEG) is a neuroimaging modality that captures neural activity with a high degree of temporal specificity, providing detailed, time varying maps of neural activity. Partial least squares (PLS) analysis is a multivariate framework that can be used to isolate distributed spatiotemporal patterns of neural activity that differentiate groups or cognitive tasks, to relate neural activity to behavior, and to capture large-scale network interactions. Here we introduce [MEG]PLS, a MATLAB-based platform that streamlines MEG data preprocessing, source reconstruction and PLS analysis in a single unified framework. [MEG]PLS facilitates MRI preprocessing, including segmentation and coregistration, MEG preprocessing, including filtering, epoching, and artifact correction, MEG sensor analysis, in both time and frequency domains, MEG source analysis, including multiple head models and beamforming algorithms, and combines these with a suite of PLS analyses. The pipeline is open-source and modular, utilizing functions from FieldTrip (Donders, NL), AFNI (NIMH, USA), SPM8 (UCL, UK) and PLScmd (Baycrest, CAN), which are extensively supported and continually developed by their respective communities. [MEG]PLS is flexible, providing both a graphical user interface and command-line options, depending on the needs of the user. A visualization suite allows multiple types of data and analyses to be displayed and includes 4-D montage functionality. [MEG]PLS is freely available under the GNU public license (http://meg-pls.weebly.com).

  11. Demand for education in the urbanization process: prediction and analysis

    Institute of Scientific and Technical Information of China (English)

    Li Zu-chao; Xu Wen

    2006-01-01

    According to records from 2002,there will be a continuous increase in the number of classes,full-time teachers and teaching staff in urban primary and junior secondary schools during the period 2005-2020.At the same time,the demand for classes and teachers of non-compulsory education will decrease yearly.It is estimated that the budgetary funds for urban primary,junior secondary,senior secondary education and even higher education will increase by 8%,8.7%,15.2% and 9%,respectively each year.

  12. ANALYSIS OF FIRST TRANSIENT PRESSURE OSCILLATION FOR LEAK DETECTION IN A SINGLE PIPELINE

    Institute of Scientific and Technical Information of China (English)

    GUO Xin-lei; YANG Kai-lin; LI Fu-tian; WANG Tao; FU hui

    2012-01-01

    The leak detection is of great importance in the reliable operation and management of a pipeline system.Recently,attention is shifted to the use of the time domain or frequency domain methods based on the transient analysis.These methods sometimes require accurate pressure signals obtained during the transient period or by creating ideal conditions in testing.This paper proposes a method that does not require transient simulations over the whole or an extended period of time,but uses the first transient pressure oscillation to detect leaks.The method considers the propagation of the pressure oscillation wave created from a tast valve closure and the reflected damp wave from the leak.A leak in the pipe gives rise to reflected waves which in turn create discontinuities in the observed signal at the measurement section.The timing of the reflected damp wave and the magnitude represent the location and the size of the leak,respectively.An analytical expression is derived based on the Method Of Characteristic (MOC) for the relationship between the leakage and the reflected magnitude.The leak detection procedure based on the method is also given.Then the reliability of the method is tested on numerically simulated pressure signals and experimental pressure signals with calibrated leak parameters,and the results indicate a successful application and the promising features of the method.

  13. Analysis pipeline for the epistasis search – statistical versus biological filtering

    Directory of Open Access Journals (Sweden)

    Xiangqing eSun

    2014-04-01

    Full Text Available Gene-gene interactions may contribute to the genetic variation underlying complex traits but have not always been taken fully into account. Statistical analyses that consider gene-gene interaction may increase the power of detecting associations, especially for low-marginal-effect markers, and may explain in part the missing heritability. Detecting pair-wise and higher-order interactions genome-wide requires enormous computational power. Filtering pipelines increase the computational speed by limiting the number of tests performed. We summarize existing filtering approaches to detect epistasis, after distinguishing the purposes that lead us to search for epistasis. Statistical filtering includes quality control on the basis of single marker statistics to avoid the analysis of bad and least informative data, and limits the search space for finding interactions. Biological filtering includes targeting specific pathways, integrating various databases based on known biological and metabolic pathways, gene function ontology and protein-protein interactions. It is increasingly possible to target single-nucleotide polymorphisms that have defined functions on gene expression, though not belonging to protein-coding genes. Filtering can improve the power of an interaction association study, but also increases the chance of missing important findings.

  14. Characterization and Analysis of Energy Demand Patterns in Airports

    Directory of Open Access Journals (Sweden)

    Sergio Ortega Alba

    2017-01-01

    Full Text Available Airports in general have high-energy consumption. Influenced by many factors, the characteristics of airport energy consumption are stochastic, nonlinear and dynamic. In recent years, airport managers have made huge efforts to harmonize airport operation with environmental sustainability by minimizing the environmental impact, with energy conservation and energy efficiency as one of their pillars. A key factor in order to reduce energy consumption at airports is to understand the energy use and consumption behavior, due to the multiple parameters and singularities that are involved. In this article, a 3-step methodology based on monitoring methods is proposed to characterize and analyze energy demand patterns in airports through their electric load profiles, and is applied to the Seve Ballesteros-Santander Airport (Santander, Spain. This methodology can be also used in airports in order to determine the way energy is used, to establish the classification of the electrical charges based on their operation way as well as to determine the main energy consumers and main external influencers. Results show that airport present a daily energy demand pattern since electric load profiles follow a similar curve shape for every day of the year, having a great dependence of the terminal building behavior, the main energy consumer of the airport, and with heating, ventilation and air conditioning (HVAC and lighting being the most energy-intensive facilities, and outside temperature and daylighting the main external influencers.

  15. A custom multi-modal sensor suite and data analysis pipeline for aerial field phenotyping

    Science.gov (United States)

    Bartlett, Paul W.; Coblenz, Lauren; Sherwin, Gary; Stambler, Adam; van der Meer, Andries

    2017-05-01

    Our group has developed a custom, multi-modal sensor suite and data analysis pipeline to phenotype crops in the field using unpiloted aircraft systems (UAS). This approach to high-throughput field phenotyping is part of a research initiative intending to markedly accelerate the breeding process for refined energy sorghum varieties. To date, single rotor and multirotor helicopters, roughly 14 kg in total weight, are being employed to provide sensor coverage over multiple hectaresized fields in tens of minutes. The quick, autonomous operations allow for complete field coverage at consistent plant and lighting conditions, with low operating costs. The sensor suite collects data simultaneously from six sensors and registers it for fusion and analysis. High resolution color imagery targets color and geometric phenotypes, along with lidar measurements. Long-wave infrared imagery targets temperature phenomena and plant stress. Hyperspectral visible and near-infrared imagery targets phenotypes such as biomass and chlorophyll content, as well as novel, predictive spectral signatures. Onboard spectrometers and careful laboratory and in-field calibration techniques aim to increase the physical validity of the sensor data throughout and across growing seasons. Off-line processing of data creates basic products such as image maps and digital elevation models. Derived data products include phenotype charts, statistics, and trends. The outcome of this work is a set of commercially available phenotyping technologies, including sensor suites, a fully integrated phenotyping UAS, and data analysis software. Effort is also underway to transition these technologies to farm management users by way of streamlined, lower cost sensor packages and intuitive software interfaces.

  16. Effect of Pressure dependent demand on pipe network analysis: A case study

    Directory of Open Access Journals (Sweden)

    MINAKSHI SHRIVASTAVA

    2014-01-01

    Full Text Available Water distribution network is most important part of world’s infrastructure. In the present work, analysis for proposed site of school of planning and architecture, Bhopal is done by using demand based analysis and the design is further analyzed for pressure dependent demand. Detailed study of variation of threshold pressure with power function is carried out .Complete site is divided into two zones having two separate water tank for supply and the analysis is done by varying threshold pressure and power function in case of pressure dependent demand by using commercial pipe network analysis software.

  17. Crossing Active Faults on the Sakhalin II Onshore Pipeline Route: Analysis Methodology and Basic Design

    Science.gov (United States)

    Vitali, Luigino; Mattiozzi, Pierpaolo

    2008-07-01

    Twin oil (20 & 24 inch) and gas (20 & 48 inch) pipeline systems stretching 800 km are being constructed to connect offshore hydrocarbon deposits from the Sakhalin II concession in the North to an LNG plant and oil export terminal in the South of Sakhalin island. The onshore pipeline route follows a regional fault zone and crosses individual active faults at 19 locations. Sakhalin Energy, Design and Construction companies took significant care to ensure the integrity of the pipelines, should large seismic induced ground movements occur during the Operational life of the facilities. Complex investigations including the identification of the active faults, their precise location, their particular displacement values and assessment of the fault kinematics were carried out to provide input data for unique design solutions. Lateral and reverse offset displacements of 5.5 and 4.5 m respectively were determined as the single-event values for the design level earthquake (DLE)—the 1000-year return period event. Within the constraints of a pipeline route largely fixed, the underground pipeline fault crossing design was developed to define the optimum routing which would minimize stresses and strain using linepipe materials which had been ordered prior to the completion of detailed design, and to specify requirements for pipe trenching shape, materials, drainage system, etc. This Paper describes the steps followed to formulate the concept of the special trenches and the analytical characteristics of the Model.

  18. Open source pipeline for ESPaDOnS reduction and analysis

    Science.gov (United States)

    Martioli, Eder; Teeple, Doug; Manset, Nadine; Devost, Daniel; Withington, Kanoa; Venne, Andre; Tannock, Megan

    2012-09-01

    OPERA is a Canada-France-Hawaii Telescope (CFHT) open source collaborative software project currently under development for an ESPaDOnS echelle spectro-polarimetric image reduction pipeline. OPERA is designed to be fully automated, performing calibrations and reduction, producing one-dimensional intensity and polarimetric spectra. The calibrations are performed on two-dimensional images. Spectra are extracted using an optimal extraction algorithm. While primarily designed for CFHT ESPaDOnS data, the pipeline is being written to be extensible to other echelle spectrographs. A primary design goal is to make use of fast, modern object-oriented technologies. Processing is controlled by a harness, which manages a set of processing modules, that make use of a collection of native OPERA software libraries and standard external software libraries. The harness and modules are completely parametrized by site configuration and instrument parameters. The software is open- ended, permitting users of OPERA to extend the pipeline capabilities. All these features have been designed to provide a portable infrastructure that facilitates collaborative development, code re-usability and extensibility. OPERA is free software with support for both GNU/Linux and MacOSX platforms. The pipeline is hosted on SourceForge under the name "opera-pipeline".

  19. An empirical analysis of energy demand in Namibia

    Energy Technology Data Exchange (ETDEWEB)

    De Vita, G. [Oxford Brookes University (United Kingdom). Business School; Endresen, K. [Independent Energy Consultant, Winhoek (Namibia); Hunt, L.C. [University of Surrey, Guildford (United Kingdom). Dept. of Economics

    2006-12-15

    Using a unique database of end-user local energy data and the recently developed Autoregressive Distributed Lag (ARDL) bounds testing approach to cointegration, we estimate the long-run elasticities of the Namibian energy demand function at both aggregated level and by type of energy (electricity, petrol and diesel) for the period 1980-2002. Our main results show that energy consumption responds positively to changes in GDP and negatively to changes in energy price and air temperature. The differences in price elasticities across fuels uncovered by this study have significant implications for energy taxation by Namibian policy makers. We do not find any significant cross-price elasticities between different fuel types. (author)

  20. MODELLING GASOLINE DEMAND IN GHANA: A STRUCTURAL TIME SERIES ANALYSIS

    Directory of Open Access Journals (Sweden)

    Ishmael Ackah

    2014-01-01

    Full Text Available Concerns about the role of energy consumption in global warming have led to policy designs that seek to reduce fossil fuel consumption or find a less polluting alternative especiallyfor the transport sector. This study seeks to estimate the elasticities of price, income, education and technology on transport gasoline demand sector inGhana. The Structural Time Series Model reports a short-run price and income elasticities of -0.0088 and 0.713. Total factor productivity is -0.408 whilstthe elasticity for education is 2.33. In the long run, the reported price and income elasticities are -0.065 and 5.129 respectively. The long run elasticityfor productivity is -2.935. The study recommends that in order to enhanceefficiency in gasoline consumption in the transport sector, there should beinvestment in productivity.

  1. Irrigation water demand: A meta-analysis of price elasticities

    Science.gov (United States)

    Scheierling, Susanne M.; Loomis, John B.; Young, Robert A.

    2006-01-01

    Metaregression models are estimated to investigate sources of variation in empirical estimates of the price elasticity of irrigation water demand. Elasticity estimates are drawn from 24 studies reported in the United States since 1963, including mathematical programming, field experiments, and econometric studies. The mean price elasticity is 0.48. Long-run elasticities, those that are most useful for policy purposes, are likely larger than the mean estimate. Empirical results suggest that estimates may be more elastic if they are derived from mathematical programming or econometric studies and calculated at a higher irrigation water price. Less elastic estimates are found to be derived from models based on field experiments and in the presence of high-valued crops.

  2. On the modelling and the analysis of two-phase flow instabilities in pipeline-riser systems; Modelisation et analyse des instabilites d'ecoulements diphasiques dans les conduites petrolieres du type pipeline-riser

    Energy Technology Data Exchange (ETDEWEB)

    Zakarian, E.

    2000-03-10

    Recent estimations predict that over half the remaining offshore oil and gas reserves are located in deep water and marginal fields. For such reserves, economic recovery methods are required. Then, multiphase flows are transported within pipelines and separated on treatment platforms built in shallow water or processed in onshore facilities. Unfortunately, hydrodynamic instabilities may occur whenever gas and liquid flow in a pipeline, generating serious operating problems. This dissertation presents a new way to model two-phase flows in pipelines such as pipeline-riser systems. Equations are algebraic and differential. Their smoothness depends on the closure laws of the problem such as slip or friction laws. Smooth forms of these closure laws are presented for the first time in this dissertation. Therefore, a mathematical analysis of our model fits into a classical frame: a linear analysis leads to an analytical expression of the boundary between stable and unstable flows. A nonlinear analysis provides for the first time, the bifurcation curves of gas-liquid flows in pipe-riser systems, locally round their stability boundary. (author)

  3. Economic Analysis of Urban Fuelwood Demand - The case of Harare in Zimbabwe

    NARCIS (Netherlands)

    Chambwera, M.

    2004-01-01

    This study carries out an economic analysis of the demand for fuelwood in urban areas using Harare, the capital city of Zimbabwe, as a case study. The demand for fuelwood in urban areas is one of the causes of several environmental and health problems in Africa, where the up to 90% of energy

  4. Economic Analysis of Urban Fuelwood Demand - The case of Harare in Zimbabwe

    NARCIS (Netherlands)

    Chambwera, M.

    2004-01-01

    This study carries out an economic analysis of the demand for fuelwood in urban areas using Harare, the capital city of Zimbabwe, as a case study. The demand for fuelwood in urban areas is one of the causes of several environmental and health problems in Africa, where the up to 90% of energy require

  5. A Meta-Analysis of Burnout with Job Demands, Resources, and Attitudes

    Science.gov (United States)

    Alarcon, Gene M.

    2011-01-01

    A meta-analysis was conducted on job demands, resources, and attitudes and their relation with burnout in regard to the COR theory. The version of the Maslach Burnout Inventory used was explored as a moderator of the aforementioned variables. Results suggest that higher demands, lower resources, and lower adaptive organizational attitudes are…

  6. Analysis on Interface Shear Stress of Thermally Insulated Ocean Pipelines Under Installation

    Institute of Scientific and Technical Information of China (English)

    YAN Shu-wang; TIAN Ying-hui; LIU Run; WANG Zhang-ling; WANG Jin-ying

    2006-01-01

    It has been proved that the thermally insulated ocean pipeline has advantages over the conventional pipe-in-pipe pipeline. The risk of using the thermally insulated pipeline is that the exterior layers covering the steel pipe may be pulled off if the shear stress on the interface induced by the pullout force from the tensioner is greater than the binding force between two neighboring layers during installation. This paper develops a procedure to calculate the shear stress on the interface. The binding force between two neighboring layers can be determined with full scale model tests. The safety of the thermally insulated pipe under installation can then be checked by comparison of the interface shear stress with the binding force.

  7. Failure Pressure Analysis of Corroded Moderate-to-High Strength Pipelines

    Institute of Scientific and Technical Information of China (English)

    苏晨亮; 李昕; 周晶

    2016-01-01

    Based on the elastic-plastic, large-deformation finite element method, burst capacity of steel pipeline with longitudinal corrosion defect subjected to internal pressure is studied. The appropriate stress-based criterion is used to predict the failure pressure of finite element model of corroded pipeline under internal pressure. By considering the pipe steel grades and geometries of corrosion defects, a series of finite element analyses is conducted. The effects of corrosion depth, length and width on burst capacity are also discussed. A specific failure pressure solution for the assessment of corrosion defects in moderate-to-high strength pipeline is proposed on the base of numerical results. The failure pressures predicted by the proposed method are in better agreement with the experimental results than the results by the other methods.

  8. Efficiency of wave impeding barrier in pipeline construction under earthquake excitation using nonlinear finite element analysis

    Indian Academy of Sciences (India)

    Fatih Goktepe; H Serdar Kuyuk; Erkan Celebi

    2014-04-01

    Earthquakes have caused colossal casualties and severe damages to engineering structures and especially leading to substantial economic loss to the underground structures and/or infrastructures. Pipelines are one of most important component of lifeline engineering. For instance, the Southern Caucasus- Eastern Turkey energy corridors are formed by several key pipelines carrying crude oil and natural gas from Azerbaijan, via Georgia, to world markets through Mediterranean Sea. Many project accomplished recently and construction of new corridors are still going on. They should be protected from earthquake disaster especially when they pass through high seismicity zones. The installation of wave impeding barriers (WIB) below the vulnerable infrastructures as pipelines established in soft soil can be used to reduce the effect of the earthquake induced ground borne vibrations. In this paper, a WIB as artificial bedrock based on the cut-off frequency of a soil layer over bedrock is proposed as isolation measurement in order to mitigate the dynamic response of the buried pipelines under earthquake strong ground motion. The computational simulation of the wave propagation problem is directly achieved by employing nonlinear 2D finite element modelling for prediction of screening performance of WIB on the dynamic response of vibrating coupled soil-pipeline system. Energy absorbing boundaries along the truncated interfaces of the unbounded nature of the underlying soil media are implemented in the time domain along with Newmark’s integration. An extensive parametric investigation and systematic computations are performed with different controlling parameters. The obtained numerical results point out that WIB can be very promising as an isolator to protect pipelines when they establish for a certain depth.

  9. Modeling, Analysis, and Control of Demand Response Resources

    Energy Technology Data Exchange (ETDEWEB)

    Mathieu, Johanna L. [Univ. of California, Berkeley, CA (United States)

    2012-05-01

    While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in power systems via Demand Response (DR), defined by the Department of Energy (DOE) as “a tariff or program established to motivate changes in electric use by end-use customers in response to changes in the price of electricity over time, or to give incentive payments designed to induce lower electricity use at times of high market prices or when grid reliability is jeopardized” [29]. DR can provide a variety of benefits including reducing peak electric loads when the power system is stressed and fast timescale energy balancing. Therefore, DR can improve grid reliability and reduce wholesale energy prices and their volatility. This dissertation focuses on analyzing both recent and emerging DR paradigms. Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present methods for using 15-minute-interval electric load data, commonly available from C&I facilities, to help building managers understand building energy consumption and ‘ask the right questions’ to discover opportunities for DR. Additionally, we present a regression-based model of whole building electric load, i.e., a baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of 38 C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are expected to exhibit the same response each DR event. We find that baseline model error makes it difficult to precisely quantify changes in electricity consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. Therefore, we present a method to compute baseline model error and a metric to determine how much observed DR variability results from baseline model error rather than real

  10. Structural Analysis and Total Coal Demand Forecast in China

    Directory of Open Access Journals (Sweden)

    Qing Zhu

    2014-01-01

    Full Text Available Considering the speedy growth of industrialization and urbanization in China and the continued rise of coal consumption, this paper identifies factors that have impacted coal consumption in 1985–2011. After extracting the core factors, the Bayesian vector autoregressive forecast model is constructed, with variables that include coal consumption, the gross value of industrial output, and the downstream industry output (cement, crude steel, and thermal power. The impulse response function and variance decomposition are applied to portray the dynamic correlations between coal consumption and economic variables. Then for analyzing structural changes of coal consumption, the exponential smoothing model is also established, based on division of seven sectors. The results show that the structure of coal consumption underwent significant changes during the past 30 years. Consumption of both household sector and transport, storage, and post sectors continues to decline; consumption of wholesale and retail trade and hotels and catering services sectors presents a fluctuating and improving trend; and consumption of industry sector is still high. The gross value of industrial output and the downstream industry output have been promoting coal consumption growth for a long time. In 2015 and 2020, total coal demand is expected to reach 2746.27 and 4041.68 million tons of standard coal in China.

  11. Experiments and Analysis of Drop on Demand Cell Printing

    Directory of Open Access Journals (Sweden)

    Jin Huang

    2012-01-01

    Full Text Available Cell printing is a promising technology in tissue engineering, with which the complex threedimensional tissue constructs can be formed by sequentially printing the cells layer-by-layer. Though some cell printing experiments with commercial ink-jet printer show the possibility of this idea, there is a long way to implement cell printing in engineering. To get a better understanding of drop on demand piezoelectric cell printing, a cell printing experiment system with commercial piezoelectric ink jet printing head and configurable drive circuit is developed. And a series of cell printing experiment with yeast cell is performed to study the influence of drive parameters, cell solution density and viscosity of the solution on cell survival rate, droplet density and orifice status. The experimental results show that the cell solution density and its viscosity are key issue for cell printing with commercial printing head, and a large drive pulse width is helpful for printing the cell solution with a high cell density and viscosit.

  12. Research on Rural Consumer Demand in Hebei Province Based on Principal Component Analysis

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    By selecting the time sequence data concerning influencing factors of rural consumer demand in Hebei Province from 2000 to 2010,this paper uses the principal component analysis method in multiplex econometric statistical analysis,constructs the principal component of consumer demand in Hebei Province,conducts regression on the dependent variable of consumer spending per capita in Hebei Province and the principal component of consumer demand so as to get principal component regression,and then conducts quantitative and qualitative analysis on the principal component.The results show that total output value per capita (yuan),employment rate,and income gap,are correlative with rural residents’ consumer demand in Hebei Province positively;consumer price index,upbringing ratio of children,and one-year interest rate are correlative with rural residents’ consumer demand in Hebei Province negatively;the ratio of supporting the elderly and medical care spending per capita are correlative with rural residents’ consumer demand in Hebei Province positively.The corresponding countermeasures and suggestions are put forward to promote residents’ consumer demand in Hebei Province as follows:develop county economy in Hebei Province and increase rural residents’ consumer demand;use industry to support agriculture and coordinate urban-rural development;improve rural medical care and health system and resolve actual difficulties of the masses.

  13. Leadership Pipeline

    DEFF Research Database (Denmark)

    Elmholdt, Claus Westergård

    2013-01-01

    I artiklen undersøges det empiriske grundlag for Leader- ship Pipeline. Først beskrives Leadership Pipeline modellen om le- delsesbaner og skilleveje i opadgående transitioner mellem orga- nisatoriske ledelsesniveauer (Freedman, 1998; Charan, Drotter and Noel, 2001). Dernæst sættes fokus på det...... forholdet mellem kontinuitet- og diskontinuitet i ledel- seskompetencer på tværs af organisatoriske niveauer præsenteres og diskuteres. Afslutningsvis diskuteres begrænsningerne i en kompetencebaseret tilgang til Leadership Pipeline, og det foreslås, at succesfuld ledelse i ligeså høj grad afhænger af...

  14. Leadership Pipeline

    DEFF Research Database (Denmark)

    Elmholdt, Claus Westergård

    2013-01-01

    I artiklen undersøges det empiriske grundlag for Leader- ship Pipeline. Først beskrives Leadership Pipeline modellen om le- delsesbaner og skilleveje i opadgående transitioner mellem orga- nisatoriske ledelsesniveauer (Freedman, 1998; Charan, Drotter and Noel, 2001). Dernæst sættes fokus på det...... forholdet mellem kontinuitet- og diskontinuitet i ledel- seskompetencer på tværs af organisatoriske niveauer præsenteres og diskuteres. Afslutningsvis diskuteres begrænsningerne i en kompetencebaseret tilgang til Leadership Pipeline, og det foreslås, at succesfuld ledelse i ligeså høj grad afhænger af...

  15. Modeling, Analysis, and Control of Demand Response Resources

    Energy Technology Data Exchange (ETDEWEB)

    Mathieu, Johanna L. [Univ. of California, Berkeley, CA (United States)

    2012-05-01

    While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in power systems via Demand Response (DR), defined by the Department of Energy (DOE) as “a tariff or program established to motivate changes in electric use by end-use customers in response to changes in the price of electricity over time, or to give incentive payments designed to induce lower electricity use at times of high market prices or when grid reliability is jeopardized” [29]. DR can provide a variety of benefits including reducing peak electric loads when the power system is stressed and fast timescale energy balancing. Therefore, DR can improve grid reliability and reduce wholesale energy prices and their volatility. This dissertation focuses on analyzing both recent and emerging DR paradigms. Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present methods for using 15-minute-interval electric load data, commonly available from C&I facilities, to help building managers understand building energy consumption and ‘ask the right questions’ to discover opportunities for DR. Additionally, we present a regression-based model of whole building electric load, i.e., a baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of 38 C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are expected to exhibit the same response each DR event. We find that baseline model error makes it difficult to precisely quantify changes in electricity consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. Therefore, we present a method to compute baseline model error and a metric to determine how much observed DR variability results from baseline model error rather than real

  16. Pressurizing the STEM Pipeline: An Expectancy-Value Theory Analysis of Youths' STEM Attitudes

    Science.gov (United States)

    Ball, Christopher; Huang, Kuo-Ting; Cotten, Shelia R.; Rikard, R. V.

    2017-01-01

    Over the past decade, there has been a strong national push to increase minority students' positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through…

  17. Minimax Analysis of Economic and Energy Efficiencies of Heat-Supply Pipelines

    Science.gov (United States)

    Sabdenov, K. O.

    2016-11-01

    A minimax problem of minimization of financial expenses and energy expenditure in a heat-supply system of buildings has been formulated and solved. The optimum parameters of a pipeline, i.e., the pipe radius and the thickness of the heat-insulating material, have been found.

  18. Fourier Analysis for Demand Forecasting in a Fashion Company

    Directory of Open Access Journals (Sweden)

    Andrea Fumi

    2013-08-01

    sectors. The entire analysis was performed on a common spreadsheet, in order to demonstrate that accurate results exploiting advanced numerical computation techniques can be carried out without necessarily using expensive software.

  19. Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids.

    Science.gov (United States)

    Ali, S M; Mehmood, C A; Khan, B; Jawad, M; Farid, U; Jadoon, J K; Ali, M; Tareen, N K; Usman, S; Majid, M; Anwar, S M

    2016-01-01

    In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic stochastic demand models. The sudden drifts in weather parameters effects the living standards of the consumers that in turn influence the power demands. Considering above, we analyzed stochastically and statistically the effect of random consumer demands on the fixed and variable revenues of the electrical utilities. Our work presented the Multi-Variate Gaussian Distribution Function (MVGDF) probabilistic model of the utility revenues with time-dependent consumer random demands. Moreover, the Gaussian probabilities outcome of the utility revenues is based on the varying consumer n demands data-pattern. Furthermore, Standard Monte Carlo (SMC) simulations are performed that validated the factor of accuracy in the aforesaid probabilistic demand-revenue model. We critically analyzed the effect of weather data parameters on consumer demands using correlation and multi-linear regression schemes. The statistical analysis of consumer demands provided a relationship between dependent (demand) and independent variables (weather data) for utility load management, generation control, and network expansion.

  20. Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids.

    Directory of Open Access Journals (Sweden)

    S M Ali

    Full Text Available In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic stochastic demand models. The sudden drifts in weather parameters effects the living standards of the consumers that in turn influence the power demands. Considering above, we analyzed stochastically and statistically the effect of random consumer demands on the fixed and variable revenues of the electrical utilities. Our work presented the Multi-Variate Gaussian Distribution Function (MVGDF probabilistic model of the utility revenues with time-dependent consumer random demands. Moreover, the Gaussian probabilities outcome of the utility revenues is based on the varying consumer n demands data-pattern. Furthermore, Standard Monte Carlo (SMC simulations are performed that validated the factor of accuracy in the aforesaid probabilistic demand-revenue model. We critically analyzed the effect of weather data parameters on consumer demands using correlation and multi-linear regression schemes. The statistical analysis of consumer demands provided a relationship between dependent (demand and independent variables (weather data for utility load management, generation control, and network expansion.

  1. Energy Demand and Supply Analysis and Outlook - Energy Forecast for 2001 and Policy Issues

    Energy Technology Data Exchange (ETDEWEB)

    Na, In Gang; Ryu, Ji Chul [Korea Energy Economics Institute, Euiwang (Korea)

    2000-12-01

    The energy consumption in Korea has grown at impressive rates during the last 3 decades, along with the economic growth. The global concern about the environment issue and the restructuring in Korea energy industry has an effect on the pattern and trend of energy demand in Korea. Under the situation, this research are focusing on the analysis of energy consumption and forecast of energy demand. First of all, we analyze the trends and major characteristics of energy consumption, beginning with 1970s and up to the third quarter of 2000. In the analysis of energy consumption by energy types, we also perform qualitative analysis on the trends and characteristics of each energy types, including institutional analysis. In model section, we start with the brief description of synopsis and outline the survey on empirical models for energy demand. The econometric model used in KEEI's short-term energy forecast is outlined, followed by the result of estimations. The 2001 energy demand forecast is predicted in detail by sectors and energy types. In the year 2001, weak demand is projected to continue through the First Half, and pick up its pace of growth only in the Second Half. Projected total demand is 201.3 million TOE or 4.4% growth. In the last section, the major policy issues are summarized in three sub-sections: the restructuring in energy industry, the security of energy demand and supply, international energy cooperation including south-north energy cooperation. (author). 86 refs., 43 figs., 73 tabs.

  2. Analysis of the Demand for Sustainable Business Tourism

    DEFF Research Database (Denmark)

    Lyck, Lise

    2013-01-01

    This paper introduces the concept of sustainable business tourism and identifies the stakeholders. The development of the interest in sustainable business tourism from COP15 in Copenhagen to COP17 in Durban is presented as an overview, it is followed by an interest analysis of the stakeholders......' positions in relation to decision making on applying sustainability in business tourism....

  3. The Job Demands-Resources Model: An Analysis of Additive and Joint Effects of Demands and Resources

    Science.gov (United States)

    Hu, Qiao; Schaufeli, Wilmar B.; Taris, Toon W.

    2011-01-01

    The present study investigated the additive, synergistic, and moderating effects of job demands and job resources on well-being (burnout and work engagement) and organizational outcomes, as specified by the Job Demands-Resources (JD-R) model. A survey was conducted among two Chinese samples: 625 blue collar workers and 761 health professionals. A…

  4. Do CASA systems satisfy consumers demands? A critical analysis.

    Science.gov (United States)

    Feitsma, H; Broekhuijse, M L W J; Gadella, B M

    2011-09-01

    Boar studs are often offered new technologies including several CASA (computer-assisted semen analysis) systems. However, independent information to assist their purchase decisions is not available. The systems accuracy and repeatability variation because of different factors can be evaluated through duplicate testing of semen samples and comparison of the results according to WHO standards for humans. This primary analysis and a thorough economic cost benefit evaluation will help to decide whether the purchase of a CASA system will be profitable for a boar stud. Our experience of implementing several CASA systems in the cooperative Dutch Artificial Insemination (AI) centres is used as a base for this discussion. © 2011 Blackwell Verlag GmbH.

  5. Application of four dimensional matrix for thermal analysis of Slovak transit gas pipeline by program FENIX

    Science.gov (United States)

    Széplaky, Dávid; Varga, Augustín

    2016-06-01

    The contribution describes the principle of the FENIX program operation, which was designed to determine the temperature field of the transit pipeline for the transportation of natural gas. The program itself consists of several modules which are reciprocally linked. The basis of the program is the elementary balance method by means of which the unsteady heat transfer is assigned in several layers in different directions. The first step was to assess both the pressure and temperature of the natural gas mode, the second step is to determine the heat transfer through the walls of the pipes, and the last one is to determine the distribution of the temperature field in the surroundings of the pipeline.

  6. Research on Fairing design and CFD Analysis of Submarine Pipeline Inspection ARV

    Directory of Open Access Journals (Sweden)

    Jin Xiaojian

    2017-01-01

    Full Text Available Along with the fast development of the ocean exploitation, the cost-effective requirement of autonomous & remotely operated vehicle (ARV, which can perform more complicated missions such as the oil exploitation and the inspection of the submarine pipeline is more urgent. The submarine pipeline inspection ARV can help us better understand, protect and efficiently utilize them for human welfare. Fairing design of a new detection ARV are introduced in this paper. In order to select an appropriate thruster that will achieve the required speed of the ARV, the ANSYS-CFX tools are used to predicted the drag force. The CFD results reveal the distribution of velocity and pressure values of the ARV. In order to verify the CFD modeling process, a towed body was developed and analyzed, compared against the corresponding physical test data.

  7. Design and Analysis of Multi Vt and Variable Vt based Pipelined Adder for Low Power applications

    Directory of Open Access Journals (Sweden)

    Shanthala S

    2010-12-01

    Full Text Available Majority of Digital Signal Processing (DSP applications require arithmetic blocks such as multipliers and adders for hardware realization of complex algorithms. Power consumption of arithmetic blocks need to be minimized by use of low power techniques. In this paper, an experimental setup is developed to identify the sources of power dissipation and remedies that can be adopted to minimize power dissipation in arithmetic blocks. Use of low power techniques such as Multi Vt, variable Vt, pipelining, geometry scaling and use of appropriate load capacitance have been used to reduce power dissipation. A 4-bitpipelined adder is designed and the power dissipation is reduced to 4.17µW from 9.6µW. The designed pipelined adder can be used for DSP applications.

  8. An Algorithm of Auto-Update Threshold for Singularity Analysis of Pipeline Pressure

    Directory of Open Access Journals (Sweden)

    Jinhai Liu

    2013-01-01

    Full Text Available A precise auto-update threshold algorithm (AUTA which imitates the short-term memory of human brain is proposed to search singularities in pipeline pressure signal. According to the characteristics of the pressure signal, the pressure can be divided into two states known as nonsteady state and steady state. The AUTA can distinguish these two states and then choose corresponding method to calculate the dynamic thresholds of pressure variation in real time. Then, the parameters of AUTA are analyzed to determine their values or ranges. Finally, in the simulations to the actual pressure signal from oil pipelines, we verified the effectiveness of AUTA in estimating the dynamic threshold value of pressure.

  9. ASSESSMENT OF DIVERSITY OF POLISH VOIVODSHIPS BY LEVEL OF GAS PIPELINE INFRASTRUCTURE DEVELOPMENT USING MULTIDIMENSIONAL COMPARATIVE ANALYSIS

    Directory of Open Access Journals (Sweden)

    Marek URBANIK

    2016-06-01

    Full Text Available In the paper differentiation of gas pipeline infrastructure development in the Polish voivodships was presented. To illustrate this diversity the method of cluster analysis is used, obtained on the basis of statistical data collected by the Central Statistical Office (CSO. In order to conduct a preliminary review procedure for classification of individual provinces in relation to the assessment of the development of gas pipeline infrastructure linear classification was used, involved determining synthetic measure, which is the average of the variable components, through which voivodships were ordered. In order to estimate the distance between the clusters the variance analysis was used with the implementation of the Ward method. The analysis was performed on the basis of the following indicators: average increase in length of the gas network (an average for the total voivodoship 164.2 km, growth of the gas network in comparison to the first year of observation (123%, number of gas connections per 1 km of gas pipe (18.87 no∙km-1, the length of the network per unit area (5.37 m∙ha-1, intensity of network loading (84.15 m3∙d-1∙km-1, inhabitants having access to the gas system in % of total population (51.33%. In the analysis five clusters were grouped. Critical value was determined and segregation of individual clusters was made, taking into account the dominant parameters.

  10. An Analysis of the Foreign Military Sales Pipeline of Repair and Replace Reparable Assets

    Science.gov (United States)

    1992-09-01

    13. Goldratt , Eliyahu M. Theory of Constraints. Croton- on-Hudson NY: North River Press, 1990. 14. Lavelle, Chuck. Logistics Management Specialist...replace pipeline. Our interview format is reproduced in Appendix B. Effect-Cause-Effect Diagram A tool popularized by Eliyahu Goldratt’s "Theory of...to explain the existence of many natural effects by postulating a minimum number of assumptions," according to Goldratt . The effect- cause-effect

  11. RIKEN Integrated Sequence Analysis (RISA) System—384-Format Sequencing Pipeline with 384 Multicapillary Sequencer

    OpenAIRE

    Shibata, Kazuhiro; Itoh, Masayoshi; Aizawa, Katsunori; Nagaoka, Sumiharu; Sasaki, Nobuya; Carninci, Piero; Konno, Hideaki; AKIYAMA, Junichi; Nishi, Katsuo; Kitsunai, Tokuji; Tashiro, Hideo; Itoh, Mari; Sumi, Noriko; Ishii, Yoshiyuki; Nakamura, Shin

    2000-01-01

    The RIKEN high-throughput 384-format sequencing pipeline (RISA system) including a 384-multicapillary sequencer (the so-called RISA sequencer) was developed for the RIKEN mouse encyclopedia project. The RISA system consists of colony picking, template preparation, sequencing reaction, and the sequencing process. A novel high-throughput 384-format capillary sequencer system (RISA sequencer system) was developed for the sequencing process. This system consists of a 384-multicapillary auto seque...

  12. Economic Analysis on Migrant Workers’ Education and Training from the Perspective of Supply and Demand

    Institute of Scientific and Technical Information of China (English)

    Xianghong; JU

    2014-01-01

    The education and training are important methods to improve the quality of migrant workers and the key to solve the issues concerning agriculture,farmer and rural area.Based on theoretical and literature analysis,this paper analyzed economic problems in the education and training of migrant workers from the perspective of supply and demand.And it is considered that the supply and demand of migrant workers’ education and training are affected by many factors and present a certain economic phenomenon.And then it discussed the market failure problem of effective supply and demand for migrant workers’ current education and training based on the above.

  13. Pressurizing the STEM Pipeline: an Expectancy-Value Theory Analysis of Youths' STEM Attitudes

    Science.gov (United States)

    Ball, Christopher; Huang, Kuo-Ting; Cotten, Shelia R.; Rikard, R. V.

    2017-08-01

    Over the past decade, there has been a strong national push to increase minority students' positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through our educational system and into STEM careers. Previous research has shown that expectancy-value theory (EVT) is useful for examining the short-term as well as long-term academic motivations and intentions of elementary age minority students. These findings provide insights into ways we may be able to potentially "patch" particular STEM pipeline leaks. In the current study, we advance this research by using EVT as a framework to examine the STEM attitudes of young students directly. We hypothesize that students' academic-related expectancies for success and subjective task values will be associated with an increase in STEM attitudes. Data for this study was gathered over the course of a large-scale computing intervention which sought to increase students' STEM interest. This computing intervention took place in an urban elementary school district located within the southeastern USA. Results from this study indicate that both intrinsic values and utility values predict students' STEM attitudes but they influence attitudes related to the various dimensions of STEM differently. These findings demonstrate that EVT provides a useful framework, which can be integrated into future computing interventions, to help encourage positive STEM attitudes in young children, thus increasing the internal pressure (or flow) within the STEM pipeline.

  14. Residual strength evaluation of corroded pipelines with long defects based upon limit load analysis

    Energy Technology Data Exchange (ETDEWEB)

    Chiodo, Mario S.G.; Ruggieri, Claudio [Universidade de Sao Paulo (USP), SP (Brazil). Dept. de Arquitetura Naval e Engenharia Oceanica

    2009-07-01

    Accurate evaluation of the residual strength for corroded pipes remains essential in fitness for service analyses, including repair decisions and life-extension programs, of onshore and offshore oil and gas transportation. As the pipeline infrastructure ages, material loss due to corrosion represents one of the main degradation factors of steel pipes which leads to strength reduction and potential catastrophic failures. Current high resolution methods can precisely measure the geometry of corrosion defects. Despite the improvement of those techniques, they are insufficient to ensure high levels of reliability in the burst pressure assessment because the recognized semi-empirical nature of conventional procedures. This work studies the applicability of a stress based criterion based upon plastic instability to predict the burst pressure of pipelines with axial corrosion defects. Verification studies based on experimental burst tests of large diameter pipes made of API X65 and X100 steels with different defect length showed the effectiveness of the proposed criterion based on {sigma}{sup ref} ={eta}{sigma}{sub u} in failure predictions, even though the {eta} factor exhibits a potential strong dependence of the defect geometry and material properties. In general, the results presented here provide an effective support to the ability of the proposed stress based criterion in the integrity assessment of corroded pipelines. (author)

  15. Stress analysis of submarine pipeline during installation by means of the floating-string method

    Energy Technology Data Exchange (ETDEWEB)

    Ermolenko, A.I.; Melnyk, L.V.; Orlov, V.J. [Ukrainian Academy of Sciences, Kiev (Ukraine). Inst. of Hydromechanics; Kamyshev, M.A. [VNIIST, Moscow (Russian Federation)

    1994-12-31

    This paper presents the calculation method for analyzing the stresses induced in a submarine pipeline during installation by submergence of the floating string. The bending of the pipeline between the touch-down point at the seabed and the last unsubmerged float, which is in the state of limiting buoyancy, is considered. The pipe is modeled by two-dimensional beam. The differential equilibrium equations are written with due account of changes in horizontal and vertical tension along the pipeline. The boundary problem is reduced to Cauchy problem with changing initial conditions at the upper point. A portion of the pipe string which is on the surface is used for the definition of these initial conditions. This section is represented as the multispan beam on elastic supports. An iterative procedure of the problem solving is also presented. Numerical results for pipe string laying by filling the pipe with water and by the consequent floats separating form the pipe, obtained by finite difference method, are given.

  16. Pressurizing the STEM Pipeline: an Expectancy-Value Theory Analysis of Youths' STEM Attitudes

    Science.gov (United States)

    Ball, Christopher; Huang, Kuo-Ting; Cotten, Shelia R.; Rikard, R. V.

    2017-01-01

    Over the past decade, there has been a strong national push to increase minority students' positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through our educational system and into STEM careers. Previous research has shown that expectancy-value theory (EVT) is useful for examining the short-term as well as long-term academic motivations and intentions of elementary age minority students. These findings provide insights into ways we may be able to potentially "patch" particular STEM pipeline leaks. In the current study, we advance this research by using EVT as a framework to examine the STEM attitudes of young students directly. We hypothesize that students' academic-related expectancies for success and subjective task values will be associated with an increase in STEM attitudes. Data for this study was gathered over the course of a large-scale computing intervention which sought to increase students' STEM interest. This computing intervention took place in an urban elementary school district located within the southeastern USA. Results from this study indicate that both intrinsic values and utility values predict students' STEM attitudes but they influence attitudes related to the various dimensions of STEM differently. These findings demonstrate that EVT provides a useful framework, which can be integrated into future computing interventions, to help encourage positive STEM attitudes in young children, thus increasing the internal pressure (or flow) within the STEM pipeline.

  17. Astrium suborbital spaceplane project: Demand analysis of suborbital space tourism

    Science.gov (United States)

    Le Goff, Thierry; Moreau, Antoine

    2013-12-01

    ASTRIUM is preparing the development of a safe and passenger friendly Suborbital Spaceplane, taking off and landing from a standard runway, powered by turbofans and using a rocket engine of proven design to reach 100 km altitude. This vehicle will be able to carry paying passengers to the edge of space and return them safely to their starting point. As a very new potentially adjacent B2C market, Astrium had decided at the beginning of this project to first conduct a full market analysis with the support of a worldwide survey based Research Company (IPSOS) in order to assess reality and credibility of this market. Two campaigns have been done, the first one in 2007 and the second one in 2010 after the international financial crisis. Last one has been also the opportunity to optimize quality of models by focusing in Asia region. This article describes the methodology used for this survey and unveils some results in term of size of this market and typology of the customers.

  18. A Semiparametric Analysis of Gasoline Demand in the US: Reexamining The Impact of Price

    OpenAIRE

    Manzan, sebastiano; Zerom, Dawit

    2008-01-01

    The evaluation of the impact of an increase in gasoline tax on demand relies crucially on the estimate of the price elasticity. This paper presents an extended application of the Partially Linear Additive Model (PLAM) to the analysis of gasoline demand using a panel of US households, focusing mainly on the estimation of the price elasticity. Unlike previous semi-parametric studies that use household-level data, we work with vehicle-level data within households that can potentially add richer ...

  19. Balance Sheet and Analysis of Reactive Power Demand in the Polish Power System

    Directory of Open Access Journals (Sweden)

    Aleksander Kot

    2013-03-01

    Full Text Available The paper presents an analysis of the balance sheet and the reactive power demand of the Polish Power System. Reactive power balance sheets were made for the specific operating conditions of the system: the last winter peak, summer peak and summer off peak load. The basis of the study was load flow models and selected load flow calculation results. In addition, changes in demand for active and reactive power in recent years were presented.

  20. Anchor Loads on Pipelines

    OpenAIRE

    Wei, Ying

    2015-01-01

    Anchor hooking on a subsea pipeline has been investigated in this thesis. Anchor loads on pipelines is in general a rarely occurring event, however, the severity when it occurs could easily jeopardize the integrity of any pipeline. It is considered as an accidental load in the design of pipelines. Pipeline Loads, limit state criteria and anchor categories are defined by the DNV standards. For pipeline, DNV-OS-F101 (08.2012), Submarine Pipeline Systems is adopted. Offshore standard DNV-RP...

  1. ODI - Portal, Pipeline, and Archive (ODI-PPA): a web-based astronomical compute archive, visualization, and analysis service

    Science.gov (United States)

    Gopu, Arvind; Hayashi, Soichi; Young, Michael D.; Harbeck, Daniel R.; Boroson, Todd; Liu, Wilson; Kotulla, Ralf; Shaw, Richard; Henschel, Robert; Rajagopal, Jayadev; Stobie, Elizabeth; Knezek, Patricia; Martin, R. Pierre; Archbold, Kevin

    2014-07-01

    The One Degree Imager-Portal, Pipeline, and Archive (ODI-PPA) is a web science gateway that provides astronomers a modern web interface that acts as a single point of access to their data, and rich computational and visualization capabilities. Its goal is to support scientists in handling complex data sets, and to enhance WIYN Observatory's scientific productivity beyond data acquisition on its 3.5m telescope. ODI-PPA is designed, with periodic user feedback, to be a compute archive that has built-in frameworks including: (1) Collections that allow an astronomer to create logical collations of data products intended for publication, further research, instructional purposes, or to execute data processing tasks (2) Image Explorer and Source Explorer, which together enable real-time interactive visual analysis of massive astronomical data products within an HTML5 capable web browser, and overlaid standard catalog and Source Extractor-generated source markers (3) Workflow framework which enables rapid integration of data processing pipelines on an associated compute cluster and users to request such pipelines to be executed on their data via custom user interfaces. ODI-PPA is made up of several light-weight services connected by a message bus; the web portal built using Twitter/Bootstrap, AngularJS and jQuery JavaScript libraries, and backend services written in PHP (using the Zend framework) and Python; it leverages supercomputing and storage resources at Indiana University. ODI-PPA is designed to be reconfigurable for use in other science domains with large and complex datasets, including an ongoing offshoot project for electron microscopy data.

  2. The effect of increased consumer demand on fees for aesthetic surgery: an economic analysis.

    Science.gov (United States)

    Krieger, L M; Shaw, W W

    1999-12-01

    Economic theory dictates that changes in consumer demand have predictable effects on prices. Demographics represents an important component of demand for aesthetic surgery. Between the years of 1997 and 2010, the U.S. population is projected to increase by 12 percent. The population increase will be skewed such that those groups undergoing the most aesthetic surgery will see the largest increase. Accounting for the age-specific frequencies of aesthetic surgery and the population increase yields an estimate that the overall market for aesthetic surgery will increase by 19 percent. Barring unforeseen changes in general economic conditions or consumer tastes, demand should increase by an analogous amount. An economic demonstration shows the effects of increasing demand for aesthetic surgery on its fees. Between the years of 1992 and 1997, there was an increase in demand for breast augmentation as fears of associated autoimmune disorders subsided. Similarly, there was increased male acceptance of aesthetic surgery. The number of breast augmentations and procedures to treat male pattern baldness, plastic surgeons, and fees for the procedures were tracked. During the study period, the supply of surgeons and consumer demand increased for both of these procedures. Volume of breast augmentation increased by 275 percent, whereas real fees remained stable. Volume of treatment for male pattern baldness increased by 107 percent, and the fees increased by 29 percent. Ordinarily, an increase in supply leads to a decrease in prices. This did not occur during the study period. Economic analysis demonstrates that the increased supply of surgeons performing breast augmentation was offset by increased consumer demand for the procedure. For this reason, fees were not lowered. Similarly, increased demand for treatment of male pattern baldness more than offset the increased supply of surgeons performing it. The result was higher fees. Emphasis should be placed on using these economic

  3. Pipe3D, a pipeline to analyse integral field spectroscopy data: II. Analysis sequence and CALIFA dataproducts

    CERN Document Server

    Sánchez, S F; Sánchez-Blázquez, P; García-Benito, R; Ibarra-Mede, H J; González, J J; Rosales-Ortega, F F; Sánchez-Menguiano, L; Ascasibar, Y; Bitsakis, T; Law, D; Cano-Díaz, M; López-Cobá, C; Marino, R A; de Paz, A Gil; López-Sánchez, A R; Barrera-Ballesteros, J; Galbany, L; Mast, D; Abril-Melgarejo, V; Roman-Lopes, A

    2016-01-01

    We present Pipe3D, an analysis pipeline based on the FIT3D fitting tool, devel- oped to explore the properties of the stellar populations and ionized gas of Integral Field Spectroscopy data. Pipe3D was created to provide with coherent, simple to distribute, and comparable dataproducts, independently of the origin of the data, focused on the data of the most recent IFU surveys (e.g., CALIFA, MaNGA, and SAMI), and the last generation IFS instruments (e.g., MUSE). Along this article we describe the different steps involved in the analysis of the data, illustrating them by showing the dataproducts derived for NGC 2916, observed by CALIFA and P-MaNGA. As a practical use of the pipeline we present the complete set of dataproducts derived for the 200 datacubes that comprises the V500 setup of the CALIFA Data Release 2 (DR2), making them freely available through the network (ftp://ftp.caha.es/CALIFA/dataproducts/DR2/Pipe3D). Finally, we explore the hypothesis that the properties of the stellar populations and ionized...

  4. Accurate Digitization of the Chlorophyll Distribution of Individual Rice Leaves Using Hyperspectral Imaging and an Integrated Image Analysis Pipeline

    Directory of Open Access Journals (Sweden)

    Hui Feng

    2017-07-01

    Full Text Available Pigments absorb light, transform it into energy, and provide reaction sites for photosynthesis; thus, the quantification of pigment distribution is vital to plant research. Traditional methods for the quantification of pigments are time-consuming and not suitable for the high-throughput digitization of rice pigment distribution. In this study, using a hyperspectral imaging system, we developed an integrated image analysis pipeline for automatically processing enormous amounts of hyperspectral data. We also built models for accurately quantifying 4 pigments (chlorophyll a, chlorophyll b, total chlorophyll and carotenoid from rice leaves and determined the important bands (700-760 nm associated with these pigments. At the tillering stage, the R2 values and mean absolute percentage errors of the models were 0.827–0.928 and 6.94–12.84%, respectively. The hyperspectral data and these models can be combined for digitizing the distribution of the chlorophyll with high resolution (0.11 mm/pixel. In summary, the integrated hyperspectral image analysis pipeline and selected models can be used to quantify the chlorophyll distribution in rice leaves. The use of this technique will benefit rice functional genomics and rice breeding.

  5. Pipe3D, a pipeline to analyze Integral Field Spectroscopy Data: II. Analysis sequence and CALIFA dataproducts

    Science.gov (United States)

    Sánchez, S. F.; Pérez, E.; Sánchez-Blázquez, P.; García-Benito, R.; Ibarra-Mede, H. J.; González, J. J.; Rosales-Ortega, F. F.; Sánchez-Menguiano, L.; Ascasibar, Y.; Bitsakis, T.; Law, D.; Cano-Díaz, M.; López-Cobá, C.; Marino, R. A.; Gil de Paz, A.; López-Sánchez, A. R.; Barrera-Ballesteros, J.; Galbany, L.; Mast, D.; Abril-Melgarejo, V.; Roman-Lopes, A.

    2016-04-01

    We present Pipe3D, an analysis pipeline based on the FIT3D fitting tool, developed to explore the properties of the stellar populations and ionized gas of integral field spectroscopy (IFS) data. Pipe3D was created to provide coherent, simple to distribute, and comparable dataproducts, independently of the origin of the data, focused on the data of the most recent IFU surveys (e.g., CALIFA, MaNGA, and SAMI), and the last generation IFS instruments (e.g., MUSE). In this article we describe the different steps involved in the analysis of the data, illustrating them by showing the dataproducts derived for NGC 2916, observed by CALIFA and P-MaNGA. As a practical example of the pipeline we present the complete set of dataproducts derived for the 200 datacubes that comprises the V500 setup of the CALIFA Data Release 2 (DR2), making them freely available through the network. Finally, we explore the hypothesis that the properties of the stellar populations and ionized gas of galaxies at the effective radius are representative of the overall average ones, finding that this is indeed the case.

  6. Finite element analysis of fluid-structure interaction in pipeline systems

    Energy Technology Data Exchange (ETDEWEB)

    Sreejith, B.; Jayaraj, K.; Ganesan, N.; Padmanabhan, C. E-mail: ouli@iitm.ac.in; Chellapandi, P.; Selvaraj, P

    2004-02-01

    Pipes used for transporting high velocity pressurized fluids often pe rate under time-varying conditions due to pump and valve operations. This an cause vibration problems. In the present work, a finite element formulation for the fully coupled dynamic equations of motion to include the effect of fluid-structure interaction (FSI) is introduced and applied to a pipe line system used in nuclear reactors. The fluid finite element model is based on flow velocity as the variable. The response of fluid filled pipe lines to valve closure excitation has been studied. The model is validated with an experimental pipeline system.

  7. THEORETICAL ANALYSIS ON HYDRAULIC TRANSIENT RESULTED BY SUDDEN INCREASE OF INLET PRESSURE FOR LAMINAR PIPELINE FLOW

    Institute of Scientific and Technical Information of China (English)

    邓松圣; 周绍骑; 廖振方; 邱正阳; 曾顺鹏

    2004-01-01

    Hydraulic transient,which is resulted from sudden increase of inlet pressure for laminar pipeline flow,is studied.The partial differential equation,initial and boundary conditions for transient pressure were constructed,and the theoretical solution was obtained by variable-separation method.The partial differential equation,initial and boundary conditions for flow rate were obtained in accordance with the constraint correlation between flow rate and pressure while the transient flow rate distribution was also solved by variable-separation method.The theoretical solution conforms to numerical solution obtained by method of characteristics(MOC)very well.

  8. Start point to savings - Better load demand analysis in commercial buildings

    Energy Technology Data Exchange (ETDEWEB)

    Abaravicius, Juozas; Pyrko, Jurek [Lund Univ., Dept of Energy Sciences (Sweden)

    2007-07-01

    Existing installations and energy systems in most commercial buildings could be used in a more efficient way to provide savings - both in terms of energy and load demand. The key for effective operation is a thorough and detailed analysis of energy use patterns that creates essential baseline for energy savings and the development of demand response (DR) strategies. The knowledge of energy demand variations is still very limited and the use of methods to analyse the load demand is rare. Many utilities have recently installed interval (hourly) metering even for smaller commercial users and households. This is a big step forward; however, experience shows that the data is being used only to a limited extent, mostly for billing purposes only. This paper reports about a study conducted with the objective of developing a detailed load demand analysis for commercial buildings. The study results should provide essential information for the formation and evaluation of future DR and energy efficiency strategies. This study was performed in collaboration with IKEA and E.ON and contributes to an ongoing IKEA energy efficiency programme. Two sample department stores in Sweden were selected and analysed within this project. The demand data analysis covers almost 3 years period, 2004-2006.This study contributes to new knowledge of energy use patterns (load demand) in commercial buildings. It proposes solutions of load-related problems, evaluates energy and load savings potential, identifies and analyses the needs, motives and barriers for participation in DR programmes. The study provides recommendations for ongoing and future efficiency and DR strategies and discusses the potential economic benefits from the DR measures.

  9. Using Count Data and Ordered Models in National Forest Recreation Demand Analysis

    Science.gov (United States)

    Simões, Paula; Barata, Eduardo; Cruz, Luis

    2013-11-01

    This research addresses the need to improve our knowledge on the demand for national forests for recreation and offers an in-depth data analysis supported by the complementary use of count data and ordered models. From a policy-making perspective, while count data models enable the estimation of monetary welfare measures, ordered models allow for the wider use of the database and provide a more flexible analysis of data. The main purpose of this article is to analyse the individual forest recreation demand and to derive a measure of its current use value. To allow a more complete analysis of the forest recreation demand structure the econometric approach supplements the use of count data models with ordered category models using data obtained by means of an on-site survey in the Bussaco National Forest (Portugal). Overall, both models reveal that travel cost and substitute prices are important explanatory variables, visits are a normal good and demographic variables seem to have no influence on demand. In particular, estimated price and income elasticities of demand are quite low. Accordingly, it is possible to argue that travel cost (price) in isolation may be expected to have a low impact on visitation levels.

  10. Cloud CPFP: a shotgun proteomics data analysis pipeline using cloud and high performance computing.

    Science.gov (United States)

    Trudgian, David C; Mirzaei, Hamid

    2012-12-07

    We have extended the functionality of the Central Proteomics Facilities Pipeline (CPFP) to allow use of remote cloud and high performance computing (HPC) resources for shotgun proteomics data processing. CPFP has been modified to include modular local and remote scheduling for data processing jobs. The pipeline can now be run on a single PC or server, a local cluster, a remote HPC cluster, and/or the Amazon Web Services (AWS) cloud. We provide public images that allow easy deployment of CPFP in its entirety in the AWS cloud. This significantly reduces the effort necessary to use the software, and allows proteomics laboratories to pay for compute time ad hoc, rather than obtaining and maintaining expensive local server clusters. Alternatively the Amazon cloud can be used to increase the throughput of a local installation of CPFP as necessary. We demonstrate that cloud CPFP allows users to process data at higher speed than local installations but with similar cost and lower staff requirements. In addition to the computational improvements, the web interface to CPFP is simplified, and other functionalities are enhanced. The software is under active development at two leading institutions and continues to be released under an open-source license at http://cpfp.sourceforge.net.

  11. An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Zichen Wang

    2016-07-01

    Full Text Available RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA and hierarchical clustering (HC plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. We apply the pipeline to a recently published RNA-seq dataset collected from human neuronal progenitors infected with the Zika virus (ZIKV. In addition to confirming the presence of cell cycle genes among the genes that are downregulated by ZIKV, our analysis uncovers significant overlap with upregulated genes that when knocked out in mice induce defects in brain morphology. This result potentially points to the molecular processes associated with the microcephaly phenotype observed in newborns from pregnant mothers infected with the virus. In addition, our analysis predicts small molecules that can either mimic or reverse the expression changes induced by ZIKV. The IPython notebook and Docker image are freely available at: http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb and https://hub.docker.com/r/maayanlab/zika/.

  12. An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study.

    Science.gov (United States)

    Wang, Zichen; Ma'ayan, Avi

    2016-01-01

    RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA) and hierarchical clustering (HC) plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. We apply the pipeline to a recently published RNA-seq dataset collected from human neuronal progenitors infected with the Zika virus (ZIKV). In addition to confirming the presence of cell cycle genes among the genes that are downregulated by ZIKV, our analysis uncovers significant overlap with upregulated genes that when knocked out in mice induce defects in brain morphology. This result potentially points to the molecular processes associated with the microcephaly phenotype observed in newborns from pregnant mothers infected with the virus. In addition, our analysis predicts small molecules that can either mimic or reverse the expression changes induced by ZIKV. The IPython notebook and Docker image are freely available at:  http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb and  https://hub.docker.com/r/maayanlab/zika/.

  13. Comparative QRA (Quantitative Risk Analysis) of natural gas distribution pipelines in urban areas; Analise comparativa dos riscos da operacao de linhas de gas natural em areas urbanas

    Energy Technology Data Exchange (ETDEWEB)

    Oliveira, Luiz Fernando S. de [Energy Solutions South America (Brazil); Cardoso, Cassia de O.; Storch, Rafael [Det Norske Veritas (DNV) (Brazil)

    2008-07-01

    The natural gas pipeline network grows around the world, but its operation inherently imposes a risk to the people living next to pipelines. Due to this, it is necessary to conduct a risk analysis during the environmental licensing in Brazil. Despite the risk analysis methodology is well established, some points of its application for the distribution pipelines are still under discussion. This paper presents a methodology that examines the influences of major projects and operating parameters on the risk calculation of a distribution pipeline accident in urban areas as well as the possible accident scenarios assessment complexity. The impact of some scenarios has been evaluated using a Computational Fluid Dynamics tool. The results indicate that, under certain conditions, the risks from the pipeline operation under operating pressures of 20 bar may be acceptable in location class 3 or even in class 4. These results play a very important role if management decisions on the growth of the distribution of natural gas network in densely populated areas as well as in the improvement of laws to control the activity of distribution of natural gas. (author)

  14. Education biographies from the science pipeline: An analysis of Latino/a student perspectives on ethnic and gender identity in higher education

    Science.gov (United States)

    Lujan, Vanessa Beth

    This study is a qualitative narrative analysis on the importance and relevance of the ethnic and gender identities of 17 Latino/a (Hispanic) college students in the biological sciences. This research study asks the question of how one's higher education experience within the science pipeline shapes an individual's direction of study, attitudes toward science, and cultural/ethnic and gender identity development. By understanding the ideologies of these students, we are able to better comprehend the world-makings that these students bring with them to the learning process in the sciences. Informed by life history narrative analysis, this study examines Latino/as and their persisting involvement within the science pipeline in higher education and is based on qualitative observations and interviews of student perspectives on the importance of the college science experience on their ethnic identity and gender identity. The findings in this study show the multiple interrelationships from both Latino male and Latina female narratives, separate and intersecting, to reveal the complexities of the Latino/a group experience in college science. By understanding from a student perspective how the science pipeline affects one's cultural, ethnic, or gender identity, we can create a thought-provoking discussion on why and how underrepresented student populations persist in the science pipeline in higher education. The conditions created in the science pipeline and how they affect Latino/a undergraduate pathways may further be used to understand and improve the quality of the undergraduate learning experience.

  15. An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems.

    Science.gov (United States)

    Urbanowicz, Ryan J; Granizo-Mackenzie, Ambrose; Moore, Jason H

    2012-11-01

    Michigan-style learning classifier systems (M-LCSs) represent an adaptive and powerful class of evolutionary algorithms which distribute the learned solution over a sizable population of rules. However their application to complex real world data mining problems, such as genetic association studies, has been limited. Traditional knowledge discovery strategies for M-LCS rule populations involve sorting and manual rule inspection. While this approach may be sufficient for simpler problems, the confounding influence of noise and the need to discriminate between predictive and non-predictive attributes calls for additional strategies. Additionally, tests of significance must be adapted to M-LCS analyses in order to make them a viable option within fields that require such analyses to assess confidence. In this work we introduce an M-LCS analysis pipeline that combines uniquely applied visualizations with objective statistical evaluation for the identification of predictive attributes, and reliable rule generalizations in noisy single-step data mining problems. This work considers an alternative paradigm for knowledge discovery in M-LCSs, shifting the focus from individual rules to a global, population-wide perspective. We demonstrate the efficacy of this pipeline applied to the identification of epistasis (i.e., attribute interaction) and heterogeneity in noisy simulated genetic association data.

  16. Forecasting and Analysis of Agricultural Product Logistics Demand in Tibet Based on Combination Forecasting Model

    Institute of Scientific and Technical Information of China (English)

    Wenfeng; YANG

    2015-01-01

    Over the years,the logistics development in Tibet has fallen behind the transport. Since the opening of Qinghai-Tibet Railway in2006,the opportunity for development of modern logistics has been brought to Tibet. The logistics demand analysis and forecasting is a prerequisite for regional logistics planning. By establishing indicator system for logistics demand of agricultural products,agricultural product logistics principal component regression model,gray forecasting model,BP neural network forecasting model are built. Because of the single model’s limitations,quadratic-linear programming model is used to build combination forecasting model to predict the logistics demand scale of agricultural products in Tibet over the next five years. The empirical analysis results show that combination forecasting model is superior to single forecasting model,and it has higher precision,so combination forecasting model will have much wider application foreground and development potential in the field of logistics.

  17. Cluster analysis as a tool of guests segmentation by the degree of their demand

    Directory of Open Access Journals (Sweden)

    Damijan Mumel

    2002-01-01

    Full Text Available Authors demonstrate the use of cluster analysis in finding out (ascertaining the homogenity/heterogenity of guests as to the degree of their demand. The degree of guests’ demand is defined according to the importance of perceived service quality components measured by SERVQUAL, which was adopted and adapted, according to the specifics of health spa industry in Slovenia. Goals of the article are: (a the identification of the profile of importance of general health spa service quality components, and (b the identification of groups of guests (segments according to the degree of their demand in the research in 1991 compared with 1999. Cluster analysis serves as useful tool for guest segmentation since it reveals the existence of important differences in the structure of guests in the year 1991 compared with the year 1999. The results serve as a useful database for management in health spas.

  18. Simulation analysis of domestic water demand and its future uncertainty in water scarce areas

    Institute of Scientific and Technical Information of China (English)

    Shouke WEI; Albrecht GNAUCK; Alin LEI

    2009-01-01

    This paper demonstrates a practical simulation approach to analyze domestic water demand and its future uncertainty in water scarce areas through a case study of Beijing, China. Analytic models and a forecasting model were constructed using statistic and econometric regres-sion approaches. The analytic models were used to analyze the interrelationships between domestic water demand and some socio-economic factors of Beijing. The forecasting model was applied to predict domestic water demand from 2009 to 2015, and this model was validated by comparing the prediction values with the observations. Scenario analysis was applied to simulate uncertainty and risks in domestic water demand in the future. The simulation results proved that domestic water demand will increase from 13.9×108 m3 to 16.7×108 m3 from 2009 to 2015. Three more sustainable strategies were also found through scenario analysis. The simulation and modeling approaches and results would be very supportive for water decision makers in allocating water efficiently and making sustainable water strategies.

  19. Reciprocal Relations among Job Demands, Job Control, and Social Support Are Moderated by Neuroticism: A Cross-Lagged Analysis

    Science.gov (United States)

    Cieslak, Roman; Knoll, Nina; Luszczynska, Aleksandra

    2007-01-01

    This study investigated whether neuroticism moderates the relations among social support (from coworkers and supervisors) and work strain characteristics (i.e. job demands and job control). A full cross-lagged panel analysis was used to test whether social support predicts job demands and control or whether job demands and job control predict…

  20. Research on Demand Analysis of the Users of the Senior English Diagnostic System

    Science.gov (United States)

    Guo, Chen; Zhang, Hui; Yao, Qian; Wu, Min

    2013-01-01

    As the significance of learning English is becoming increasingly apparent, more and more English online practice systems are used by English learners. However, a thorough process of research and detailed analysis of user demand have not fully implemented before the design of these systems. As a result, these systems may suffer the defects of low…

  1. The Utility of a Brief Experimental Analysis for Problem Behavior Maintained by Escape from Demands

    Science.gov (United States)

    Schmidt, Jonathan D.; Shanholtzer, Alison; Mezhoudi, Nabil; Scherbak, Bailey; Kahng, SungWoo

    2014-01-01

    Brief experimental analysis (BEA) is a useful tool for quickly evaluating intervention strategies for individuals with academic deficits and minor behavior problems. However, there is a lack of research investigating BEA for intervention strategies with individuals who emit severe problem behavior to avoid academic demands. For the current study,…

  2. Comprehensive analysis of corrosion protection and corrosion and suggested rehabilitation on two 390 km oil pipeline in Ukraine

    Energy Technology Data Exchange (ETDEWEB)

    Mielke, R. [Pipeline Engineering GmbH, Essen (Germany); Wessling, D. [Ruhrgas AG, Essen (Germany). Centre of Competence - Cathodic Protection

    2003-07-01

    Major transmission pipelines run through Ukraine carrying crude oil from Russia to Central and Western Europe. These pipelines were built as a socialist joint project during the Soviet era. During this period, however, no adequate maintenance was performed on these pipelines. After the collapse of the Soviet Union, the independent states of Belarus and Ukraine evolved and the oil pipelines duly passed into their ownership. In Ukraine, the Ukrainian state joint stock company Druzhba took over the western section of the oil transit pipelines in its capacity as both owner and operator. Since these pipelines are of major significance for the purpose of supplying oil to Western Europe and Druzhba did not have the relevant resources to introduce a state-of-the-art inspection and maintenance programme, the European Union decided to sponsor an audit which was funded within the context of the TACIS Programme. (orig.)

  3. Analysis Of Factors Affecting Demand Red Chili Pepper Capsicum Annum L In Solok And Effort Fulfillment

    Directory of Open Access Journals (Sweden)

    Zulfitriyana

    2015-08-01

    Full Text Available Research on the analysis of the factors that influence the demand for red chilli Capsicum annuum L in Solok and compliance efforts implemented in March s.d April 2016. The purpose of this study consisted of 1 analyze the factors affecting the demand for red chili in Solok 2 analyze the elasticity of demand for red chili in Solok 3 know the effort that can be done to meet the demand of red chilli in Solok. To achieve the objectives of the first and second use secondary data for 15 fifteen years and to achieve the objectives the third used primary data. The method used is descriptive analytical method a method that is used to describe phenomena that exist which takes place in the present or past. The variables were observed in this study is the X1 price of red chilli X2 the price of green chili X3 onion prices X4 population X5 income and Y the number of requests red chili which is then analyzed by multiple linear regression elasticity of demand and SWOT. The results of that research addressing the factors that influence the demand for red chili in Solok is the price of red chilli itself the price of green chili as a substitute goods the number of population and income while onion prices affect the amount of red chili demand in Solok. But simultaneously variable X1 red chili prices X2 the price of green chili X3 onion prices X4 population and X5 income strongly influence demand red chili in Solok where the F test results show that F count F table 212.262 3600 with a significance level 0.000 0.010 and the most influential variable is the variable X4 population with the greatest value of beta Coefficients is 1100. Based on analysis of the elasticity of demand is known that red chili pepper is a normal good is inelastic to price elasticity coefficient value amp603p of -0.120. Green chili is substituting goods and shallots are complements of red chili with cross elasticity coefficient amp603px1 and amp603px2 respectively by 0293 and -0.635. While the

  4. Time-Distance Helioseismology Data-Analysis Pipeline for Helioseismic and Magnetic Imager Onboard Solar Dynamics Observatory (SDO-HMI) and Its Initial Results

    Science.gov (United States)

    Zhao, J.; Couvidat, S.; Bogart, R. S.; Parchevsky, K. V.; Birch, A. C.; Duvall, Thomas L., Jr.; Beck, J. G.; Kosovichev, A. G.; Scherrer, P. H.

    2011-01-01

    The Helioseismic and Magnetic Imager onboard the Solar Dynamics Observatory (SDO/HMI) provides continuous full-disk observations of solar oscillations. We develop a data-analysis pipeline based on the time-distance helioseismology method to measure acoustic travel times using HMI Doppler-shift observations, and infer solar interior properties by inverting these measurements. The pipeline is used for routine production of near-real-time full-disk maps of subsurface wave-speed perturbations and horizontal flow velocities for depths ranging from 0 to 20 Mm, every eight hours. In addition, Carrington synoptic maps for the subsurface properties are made from these full-disk maps. The pipeline can also be used for selected target areas and time periods. We explain details of the pipeline organization and procedures, including processing of the HMI Doppler observations, measurements of the travel times, inversions, and constructions of the full-disk and synoptic maps. Some initial results from the pipeline, including full-disk flow maps, sunspot subsurface flow fields, and the interior rotation and meridional flow speeds, are presented.

  5. Optimizing preprocessing and analysis pipelines for single-subject fMRI: 2. Interactions with ICA, PCA, task contrast and inter-subject heterogeneity.

    Science.gov (United States)

    Churchill, Nathan W; Yourganov, Grigori; Oder, Anita; Tam, Fred; Graham, Simon J; Strother, Stephen C

    2012-01-01

    A variety of preprocessing techniques are available to correct subject-dependant artifacts in fMRI, caused by head motion and physiological noise. Although it has been established that the chosen preprocessing steps (or "pipeline") may significantly affect fMRI results, it is not well understood how preprocessing choices interact with other parts of the fMRI experimental design. In this study, we examine how two experimental factors interact with preprocessing: between-subject heterogeneity, and strength of task contrast. Two levels of cognitive contrast were examined in an fMRI adaptation of the Trail-Making Test, with data from young, healthy adults. The importance of standard preprocessing with motion correction, physiological noise correction, motion parameter regression and temporal detrending were examined for the two task contrasts. We also tested subspace estimation using Principal Component Analysis (PCA), and Independent Component Analysis (ICA). Results were obtained for Penalized Discriminant Analysis, and model performance quantified with reproducibility (R) and prediction metrics (P). Simulation methods were also used to test for potential biases from individual-subject optimization. Our results demonstrate that (1) individual pipeline optimization is not significantly more biased than fixed preprocessing. In addition, (2) when applying a fixed pipeline across all subjects, the task contrast significantly affects pipeline performance; in particular, the effects of PCA and ICA models vary with contrast, and are not by themselves optimal preprocessing steps. Also, (3) selecting the optimal pipeline for each subject improves within-subject (P,R) and between-subject overlap, with the weaker cognitive contrast being more sensitive to pipeline optimization. These results demonstrate that sensitivity of fMRI results is influenced not only by preprocessing choices, but also by interactions with other experimental design factors. This paper outlines a

  6. MECHANICAL ANALYSIS OF TSUNAMI WAVE ON SPANNING SUBMARINE PIPELINES%海啸波对海底悬跨管道受力分析

    Institute of Scientific and Technical Information of China (English)

    薛景宏; 王欣; 周禹鑫; 杜厚臣

    2012-01-01

    Currently the mechanical analysis of spanning submarine pipelines has been an important research topic in the development of marine resources. In this paper, research is the impact of the pipeline when the tsunami shift through theregion spanning submarine pipelines. Assuming both ends of the suspended pipe from the impact of the earthquake and tsunami and the tsunami wave is long-wave, based on the traditional Morison equation, calculated the force of de spanning submarine pipelines when the tsunami wave moving through it, modeling and analysis it with the finite element software ADINA. Determine the devastating effect whether worked on the submarine pipelines by analysis the results of simulation for the tsunami waves walk through the spanning submarine pipelines.%研究地震海啸行移时通过海底悬跨管段区域时对管道的影响.假设悬跨段两端不受地震海啸影响,因为海啸为长波,本文根据传统Morison方程计算了海底悬跨管道在行移的海啸波浪荷载作用下的受力情况,并应用有限元软件ADINA进行了建模分析,通过模拟结果分析海啸波浪对海底悬跨管道受力的影响并判断是否会对海底管道造成破坏性影响.

  7. Nonparametric bootstrap analysis with applications to demographic effects in demand functions.

    Science.gov (United States)

    Gozalo, P L

    1997-12-01

    "A new bootstrap proposal, labeled smooth conditional moment (SCM) bootstrap, is introduced for independent but not necessarily identically distributed data, where the classical bootstrap procedure fails.... A good example of the benefits of using nonparametric and bootstrap methods is the area of empirical demand analysis. In particular, we will be concerned with their application to the study of two important topics: what are the most relevant effects of household demographic variables on demand behavior, and to what extent present parametric specifications capture these effects." excerpt

  8. Price elasticity of on- and off-premises demand for alcoholic drinks: A Tobit analysis.

    Science.gov (United States)

    Jiang, Heng; Livingston, Michael; Room, Robin; Callinan, Sarah

    2016-06-01

    Understanding how price policies will affect alcohol consumption requires estimates of the impact of price on consumption among different types of drinkers and across different consumption settings. This study aims to estimate how changes in price could affect alcohol demand across different beverages, different settings (on-premise, e.g., bars, restaurants and off-premise, e.g., liquor stores, supermarkets), and different levels of drinking and income. Tobit analysis is employed to estimate own- and cross-price elasticities of alcohol demand among 11 subcategories of beverage based on beverage type and on- or off-premise supply, using cross-sectional data from the Australian arm of the International Alcohol Control Survey 2013. Further elasticity estimates were derived for sub-groups of drinkers based on their drinking and income levels. The results suggest that demand for nearly every subcategory of alcohol significantly responds to its own price change, except for on-premise spirits and ready-to-drink spirits. The estimated demand for off-premise beverages is more strongly affected by own price changes than the same beverages in on-premise settings. Demand for off-premise regular beer and off-premise cask wine is more price responsive than demand for other beverages. Harmful drinkers and lower income groups appear more price responsive than moderate drinkers and higher income groups. Our findings suggest that alcohol price policies, such as increasing alcohol taxes or introducing a minimum unit price, can reduce alcohol demand. Price appears to be particularly effective for reducing consumption and as well as alcohol-related harm among harmful drinkers and lower income drinkers. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  9. Analysis of the changes in the consumption profile of the system use gas in Bolivia-Brazil Gas Pipeline after integration with the Campinas-Rio Gas Pipeline; Analise das alteracoes do perfil de consumo de gas de sistema no Gasoduto Bolivia-Brasil apos a interligacao deste gasoduto com o Campinas-Rio

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Almir Beserra dos; Bisaggio, Helio da Cunha; Veloso, Luciano de Gusmao [Agencia Nacional do Petroleo, Gas Natural e Biocombustiveis (ANP), Rio de Janeiro, RJ (Brazil)

    2008-07-01

    The natural gas pipeline transport is carried out by one or more compression stations. Each station possesses one or more compressors. The compressor's fuel is usually natural gas itself. The amount of natural gas consumed by the compressors fluctuates daily according to the demand at the city-gates. The daily operational result of a pipeline is known as imbalance. The imbalance is the difference between the natural gas entering into a in a pipeline and the volume delivered in the city-gates added to system use gas. The imbalance analyses in a pipeline that uses natural gas powered compressors requires the analyses of the system use gas. The aim of this work is to study the system use gas in the Bolivia-Brazil pipeline using the available data from the Superintendencia de Comercializacao e Movimentacao de Petroleo, seus Derivados e Gas Natural - ANP and compare the change of the volume consumed before and after the entry into operation of the Campinas-Rio gas pipeline. (author)

  10. Cost analysis of concepts for a demand oriented biogas supply for flexible power generation.

    Science.gov (United States)

    Hahn, Henning; Ganagin, Waldemar; Hartmann, Kilian; Wachendorf, Michael

    2014-10-01

    With the share of intermittent renewable energies within the electricity system rising, balancing services from dispatchable power plants are of increasing importance. Highlighting the importance of the need to keeping fuel costs for flexible power generation to a minimum, the study aims to identify favourable biogas plant configurations, supplying biogas on demand. A cost analysis of five configurations based on biogas storing and flexible biogas production concepts has been carried out. Results show that additional flexibility costs for a biogas supply of 8h per day range between 2€ and 11€MWh(-1) and for a 72h period without biogas demand from 9€ to 19€MWh(-1). While biogas storage concepts were identified as favourable short term supply configurations, flexible biogas production concepts profit from reduced storage requirements at plants with large biogas production capacities or for periods of several hours without biogas demand.

  11. Analysis of the demand status and forecast of food cold chain in Beijing

    Directory of Open Access Journals (Sweden)

    Hongjie Lan

    2013-03-01

    Full Text Available Purpose: Food cold chain is very important for ensuring food safety and decreasing the loss in the supply process. It is also benefit for the citizen, because cold chain could promise the food safety and the demand of the special cold food. Beijing, as the capital, the level of food chain is high, compared to other cities, and analysis of the demand status and forecast of food cold chain in Beijing is necessary, it could direct the scientific and health development of cold chain all over our country. Design/methodology/approach: In this paper, in accordance with the investigation, we analysis the demand status of food cold chain from two aspects, then according to the status, we forecast the demand of refrigerated cars and warehouse for food cold chain in Beijing with the multivariate statistics. Findings: From the analysis of the paper, we can see that the need of cold chain logistics grows rapidly, but most consumers are lack of the awareness of the importance of the cold chain and many companies cannot bear the huge investment, it make the gap of the resources of cold chain logistics large and cannot meet the normal need of cold chain logistics in Beijing. Originality/value: The result of this paper could support the relative enterprise to run business in terms of the refrigerated car and warehouse. 

  12. Managing Disasters Using Pressure Dependent Demand Analysis – Case Study of Shirpur Town

    Directory of Open Access Journals (Sweden)

    Madhuri Mulay

    2016-12-01

    Full Text Available Water is the most essential component for sustaining lives of humans and other living creatures. Supplying potable water with adequate residual pressure is a fundamental responsibility of city administration, which they do during normal conditions. But sometimes, abnormal conditions are formed resulting pressure deficient conditions during the daily operations of water distribution networks. These are caused due to common occurrences such as pump failure, pipe bursts, and isolation of major pipes from the system for planned maintenance work and excessive firefighting demands. Total water stop conditions may arise, when the major source supplying water to the city fails in natural disaster such as floods, Tsunami, earthquake or manmade disaster such as terrorist attack. Unlike the pipe failure, longer time is required for restoring water in case of source failure condition. In such situations, the quantity of water is generally decreased and the water distribution systems (WDS may not be able to satisfy all consumers’ demands. In this context, the assumption that all demands are fully satisfied regardless of the pressure in the system becomes unreasonable. A realistic behavior of the network performance can only be attained by considering demands to be pressure dependent. This paper aims to describe how pressure dependent demand analysis is useful for the simulation of disaster scenario due to source failure of the Shirpur town. The simulation of failure scenario is carried out using WaterGEMs software. The paper also aims to prepare the action plans for the recovery of water supply in such crisis conditions.

  13. Finite Element Analysis of the Residual Life for Outside Corroded Pipelines%外腐蚀管道剩余寿命的有限元分析

    Institute of Scientific and Technical Information of China (English)

    孙东旭; 吴明; 谢飞; 程猛猛

    2015-01-01

    预测油气管道的剩余寿命,对避免管道泄漏事故的发生和节省维修费用具有重要意义。针对国内某成品油管道开挖点处的两个腐蚀缺陷,基于有限元分析方法,建立了管道椭球形缺陷的三维有限元结构模型。以管道实测缺陷尺寸为依据,在已知腐蚀速率的情况下,采用非线性分析技术对腐蚀管道进行了应力分析,依据塑性极限状态失效准则预测了管道的剩余寿命。结果表明,两个腐蚀缺陷的剩余寿命分别为8 a 和13 a,预测结果可为管道的维护维修提供理论依据。%It is of great significance to predict the long distance oil pipeline residual life for avoiding leakage accidents and saving repair costs.For the two corrosion-defect points that were dug out on one domestic refined oil pipeline,the three-dimensional finite element model of ellipsoidal defect of pipelines structure based on FEA was established.According to the measured dimensions of the two defects of pipeline,the stress analysis of corroded pipelines using nonlinear analysis technique and the remaining life prediction based on plastic limit state failure criterion was also done.The results show that the remaining life of the two corrosion defects were respetively 8 and 13 years.The predicted results could provide theoretical basis for pipeline maintenance and repair.

  14. Vulnerability of pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Anon.

    2006-07-01

    Although pipelines may be damaged due to natural sources such as stress corrosion cracking (SCC) or hydrogen-induced cracking (HIC), most pipeline damages are a result of third-party interference, such as unauthorized construction in a right of way. Pipelines are also among the prime targets for sabotage because interruptions in energy distribution can render large segments of a population debilitated. The importance of protecting critical infrastructure was emphasized in this theme issue which disseminated information on vulnerability of pipelines due to third-party intrusions, both intentional and unintentional. It summarized the 10 presentations that were delivered at a pipelines security forum in Calgary, Alberta, addressing Canadian and U.S. government and industry approaches to oil and natural gas pipeline security. The opening keynote address remarked on the evolution of international terror networks, the targeting of the energy sector, and the terrorist threat and presence in Canada. Policies towards critical energy infrastructure protection (CIP) were then examined in light of these threats. A policy shift away from traditional defensive protective security towards an offensive intelligence-led strategy to forestall terrorist threats was advocated. Energy sector representatives agreed that Canada needs an effective national lead agency to provide threat assessments, alert notification, and coordination of information pertaining to CIP. It was agreed that early warning information must come from Canadian as well as U.S. sources in order to be pertinent. The conference session on information collection concentrated on defining what sort of threat information is needed by the energy sector, who should collect it and how should it be shared. It was emphasized that government leadership should coordinate threat reporting and disseminate information, set standards, and address the issues of terrorism risk insurance. Concern was raised about the lack of

  15. Pipeline for the Analysis of ChIP-seq Data and New Motif Ranking Procedure

    KAUST Repository

    Ashoor, Haitham

    2011-06-01

    This thesis presents a computational methodology for ab-initio identification of transcription factor binding sites based on ChIP-seq data. This method consists of three main steps, namely ChIP-seq data processing, motif discovery and models selection. A novel method for ranking the models of motifs identified in this process is proposed. This method combines multiple factors in order to rank the provided candidate motifs. It combines the model coverage of the ChIP-seq fragments that contain motifs from which that model is built, the suitable background data made up of shuffled ChIP-seq fragments, and the p-value that resulted from evaluating the model on actual and background data. Two ChIP-seq datasets retrieved from ENCODE project are used to evaluate and demonstrate the ability of the method to predict correct TFBSs with high precision. The first dataset relates to neuron-restrictive silencer factor, NRSF, while the second one corresponds to growth-associated binding protein, GABP. The pipeline system shows high precision prediction for both datasets, as in both cases the top ranked motif closely resembles the known motifs for the respective transcription factors.

  16. SeqMule: automated pipeline for analysis of human exome/genome sequencing data.

    Science.gov (United States)

    Guo, Yunfei; Ding, Xiaolei; Shen, Yufeng; Lyon, Gholson J; Wang, Kai

    2015-09-18

    Next-generation sequencing (NGS) technology has greatly helped us identify disease-contributory variants for Mendelian diseases. However, users are often faced with issues such as software compatibility, complicated configuration, and no access to high-performance computing facility. Discrepancies exist among aligners and variant callers. We developed a computational pipeline, SeqMule, to perform automated variant calling from NGS data on human genomes and exomes. SeqMule integrates computational-cluster-free parallelization capability built on top of the variant callers, and facilitates normalization/intersection of variant calls to generate consensus set with high confidence. SeqMule integrates 5 alignment tools, 5 variant calling algorithms and accepts various combinations all by one-line command, therefore allowing highly flexible yet fully automated variant calling. In a modern machine (2 Intel Xeon X5650 CPUs, 48 GB memory), when fast turn-around is needed, SeqMule generates annotated VCF files in a day from a 30X whole-genome sequencing data set; when more accurate calling is needed, SeqMule generates consensus call set that improves over single callers, as measured by both Mendelian error rate and consistency. SeqMule supports Sun Grid Engine for parallel processing, offers turn-key solution for deployment on Amazon Web Services, allows quality check, Mendelian error check, consistency evaluation, HTML-based reports. SeqMule is available at http://seqmule.openbioinformatics.org.

  17. Visitor, an informatic pipeline for analysis of viral siRNA sequencing datasets.

    Science.gov (United States)

    Antoniewski, Christophe

    2011-01-01

    High-throughput sequencing emerged as a powerful approach to characterize siRNA populations -generated by hosts in response to viral infections. Here we described an informatic pipeline visitor to analyze in-house large sequencing datasets generated from Illumina sequencing of Drosophila small RNA libraries. The visitor perl script is designed to treat fastq sequence datasets from the Illumina sequencing platform, using a computer running under a UNIX compliant operating system (MacOS X, Linux, etc.). visitor first generates a detailed report of the sequence quality of the Illumina run. Then, using the Novoalign software, the script removes reads that match with the D. melanogaster genome from the sequencing data set. The remaining reads are aligned to a viral reference library, which can contain one or several virus genomes. visitor provides a hit table of identified viral siRNAs as well as graphics eps files of viral siRNA profiles. Unmatched small RNAs are also available in a fast format for de novo assembly and new virus discovery.

  18. Underground pipeline corrosion

    CERN Document Server

    Orazem, Mark

    2014-01-01

    Underground pipelines transporting liquid petroleum products and natural gas are critical components of civil infrastructure, making corrosion prevention an essential part of asset-protection strategy. Underground Pipeline Corrosion provides a basic understanding of the problems associated with corrosion detection and mitigation, and of the state of the art in corrosion prevention. The topics covered in part one include: basic principles for corrosion in underground pipelines, AC-induced corrosion of underground pipelines, significance of corrosion in onshore oil and gas pipelines, n

  19. Discuss of the Analysis and Control of Reciprocating Compressor Pipeline Vibration%浅谈往复机管线振动的分析与控制

    Institute of Scientific and Technical Information of China (English)

    张秀锋

    2013-01-01

    Along with the expanding demand for energy,the projects of million tons of ethylene and ten million tons refinery are invested in construction rapidly in recent years,the effects of pipeline vibration of reciprocating compressor on equipment are also increasingly prominent.In this paper, the vibration classification of reciprocating compressor,the mechanism causing pipeline vibration,the analyzing methods & steps and techniques are specified.The professional companies in international and domestic for comprehensively analyzing pipeline vibration of reciprocating compressor are cited,which confirmed the practicality of expected validation for vibration in the design stage.%随着国家能源需求的日益膨胀,百万吨乙烯、千万吨炼油项目,近几年迅速投入建设,往复压缩机的管线振动问题对装置的影响也日益突出.本文对往复机振动分类、管线振动产生的机理、分析方法、步骤及技术进行了阐述.列举了国际、国内进行压缩机管线的振动综合分析的专业公司,确认设计阶段对产品振动进行预期验证可实践性.

  20. 腐蚀海底管线悬跨段的地震响应分析%THE SEISMIC RESPONSE ANALYSIS OF CORROSIVE SUBMARINE PIPELINE SUSPENDED SPAN SEGMENT

    Institute of Scientific and Technical Information of China (English)

    孙丽; 张新收; 张美真

    2013-01-01

    由于海底管线会因为各种各样的原因出现悬跨段,悬跨段的受力较为复杂,包括海流和波浪的水动力、管线内压、温度以及地震荷载和其他一些突发荷载等,所以需要加强对管线悬跨管段的动力响应研究.另外现役的海底管线有很多已达到了其设计正常使用年限,出现了不同程度的问题,而腐蚀是导致管线损坏的主要原因.目前对完好管线悬跨段的研究已进行了很长一段时间,而关于腐蚀管线悬跨段的研究还较少,针对这种情况,该文对完好海底管线悬跨段进行了试验和有限元分析,分析表明:试验和模拟得到的基频和加速度放大系数沿轴线的变化趋势一致,ABAQUS能够准确地模拟悬跨管线的地震响应问题.同时,对腐蚀管线悬跨段的固有频率、加速度放大系数和最大加速度沿轴线的变化规律进行了有限元分析.研究表明:腐蚀位置、腐蚀厚度、腐蚀长度和腐蚀宽度对上述方面都会产生不同的影响,且腐蚀宽度的变化对管线动力响应影响最大.%A submarine pipeline would appear suspended span segments because its complex stress states such as the action of water currents and waves,pipeline pressure,temperature,seismic loading and other sudden loads.This is why its dynamic response analysis should be strengthened.At the same time,there are many submarine pipelines,which are working right now,and they had reached their design working lives.This kind of submarine pipeline might have many problems.The main reason leading to pipeline damage is the corrosion.At present,the researches about the intact pipeline suspended span segments have been studied for a long time,while there is little analysis for corroded pipeline suspended span segments.According to the research status,the experiment and finite element analysis of intact submarine pipeline suspended span segment are performed.The analyses show that the variation trends of the

  1. 77 FR 70543 - Pipeline Safety: Meeting of the Gas Pipeline Advisory Committee and the Liquid Pipeline Advisory...

    Science.gov (United States)

    2012-11-26

    ... for natural gas pipelines and for hazardous liquid pipelines. Both committees were established under... TRANSPORTATION Pipeline and Hazardous Materials Safety Administration Pipeline Safety: Meeting of the Gas Pipeline Advisory Committee and the Liquid Pipeline Advisory Committee AGENCY: Pipeline and...

  2. An analysis of at-home demand for ice cream in the United States.

    Science.gov (United States)

    Davis, C G; Blayney, D P; Yen, S T; Cooper, J

    2009-12-01

    Ice cream has been manufactured commercially in the United States since the middle of the 19th century. Ice cream and frozen dessert products comprise an important and relatively stable component of the United States dairy industry. As with many other dairy products, ice cream is differentiated in several dimensions. A censored translog demand system model was employed to analyze purchases of 3 ice cream product categories. The objective of this study was to determine the effect that changes in retail prices and consumer income have on at-home ice cream consumption. The analysis was based on Nielsen 2005 home scan retail data and used marital status, age, race, education, female employment status, and location in the estimations of aggregate demand elasticities. Results revealed that price and consumer income were the main determinants of demand for ice cream products. Calculated own-price elasticities indicated relatively elastic responses by consumers for all categories except for compensated bulk ice cream. All expenditure elasticities were inelastic except for bulk ice cream, and most of the ice cream categories were substitutes. Ongoing efforts to examine consumer demand for these products will assist milk producers, dairy processors and manufacturers, and dairy marketers as they face changing consumer responses to food and diet issues.

  3. High-resolution Behavioral Economic Analysis of Cigarette Demand to Inform Tax Policy

    Science.gov (United States)

    MacKillop, James; Few, Lauren R.; Murphy, James G.; Wier, Lauren M.; Acker, John; Murphy, Cara; Stojek, Monika; Carrigan, Maureen; Chaloupka, Frank

    2012-01-01

    Aims Novel methods in behavioral economics permit the systematic assessment of the relationship between cigarette consumption and price. Toward informing tax policy, the goals of this study were to conduct a high-resolution analysis of cigarette demand in a large sample of adult smokers and to use the data to estimate the effects of tax increases in ten U.S. States. Design In-person descriptive survey assessment. Setting Academic departments at three universities. Participants Adult daily smokers (i.e., 5+ cigarettes/day; 18+ years old; ≥8th grade education); N = 1056. Measurements Estimated cigarette demand, demographics, expired carbon monoxide. Findings The cigarette demand curve exhibited highly variable levels of price sensitivity, especially in the form of ‘left-digit effects’ (i.e., very high price sensitivity as pack prices transitioned from one whole number to the next; e.g., $5.80-$6/pack). A $1 tax increase in the ten states was projected to reduce the economic burden of smoking by an average of $531M (range: $93.6M-$976.5M) and increase gross tax revenue by an average of 162% (range: 114%- 247%). Conclusions Tobacco price sensitivity is nonlinear across the demand curve and in particular for pack-level left-digit price transitions. Tax increases in U.S. states with similar price and tax rates to the sample are projected to result in substantial decreases in smoking-related costs and substantial increases in tax revenues. PMID:22845784

  4. Analysis of Farmers' Financial Demand and Rural Financial Supply from a Sociological Viewpoint

    Institute of Scientific and Technical Information of China (English)

    YeJingzhong; ZhuYanjie; YangHongping

    2005-01-01

    After analysis of Baoshi Village farmers' financial demand, the loan supply from formal financial institutions and the current situation and causes of informal finance, we can draw the following conclusions: loans from formal financial institutions in the village have mainly gone to the farmers who are richer or enjoy higher social capital. Those farmers, relying on their own strengths and superior social networks, have access to formal loans. Ordinary farmers, especially those who are poorer or have inadequate human capital,

  5. Web-based 3-D GIS and its applications for pipeline planning and construction

    Energy Technology Data Exchange (ETDEWEB)

    Tao, V.; Wang, T.Q.K. [Calgary Univ., Calgary, AB (Canada). Dept. of Geomatics Engineering

    2000-07-01

    The many benefits that web-based 3D geographical information system (GIS) technology can bring to pipeline planning and construction was discussed. GIS can effectively integrate and manage a variety of data sources including geological, geographical, environmental, engineering and socioeconomic data. The third dimension of geospatial data is also very significant for pipeline planning, construction and maintenance which explains the increased demand for the development of a 3D GIS for pipeline applications. The Internet has made it possible to integrate GIS, visualization and distributed object computing technologies for a web-based 3D GIS. While this offers many advantages, it also poses several technical challenges. The technology allows users to access, manipulate and analyze geospatial objects remotely. This has positive implications for pipeline operating companies in their collaborative decision making for large pipeline projects that cover large areas with multiple landowners and different government sections. The technology will enhance their capability and productivity by making it possible to run their operations more efficiently. The Department of Geomatics Engineering at the University of Calgary has developed a web-based 3D GIS, GeoEye 3D prototype using a pure Java solution. The system is based on an advanced client/server model for visualization, manipulation and analysis of spatial data such as 3D terrain, wells, linear objects such as roads or pipelines and solid objects such as buildings. The system can be linked to other databases for spatial inquiry. 7 refs., 3 figs.

  6. Optimization of the steady operation of Shaanxi to Beijing gas pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Changchun Wu [China University of Petroleum, Beijing (China); Peng Zhang [Beijing Huayou Gas Company (China); Hongsheng Cui [PetroChina, Beijing (China)

    2005-07-01

    Shaanxi to Beijing gas pipeline is the first one with intermediate compressor stations in China. With one reciprocating compressor station and three centrifugal compressor stations, the pipeline has an annual capacity of about 36..10{sup 8}m{sup 3}. Increasing gas demand in Beijing and commissioning of the three underground gas storage facilities connected to the pipeline make it to operate near to the capacity for most time of a year, which can be approximately considered as steady state. With the goal to minimize the energy cost of the pipeline, a dynamic programming model was established for its optimal steady operation, in which outlet pressures of each compressor station were defined as state variables and compression ratios as decision variables. The optimal solutions of the model showed that the energy cost could be reduced to different extent by means of optimal operation for the different flow-rates of the pipeline, and that the savings of the energy cost from optimal operation may be over 20% compared to the operation schemes specified by traditional experience in some cases. Furthermore, the guidelines for the optimal operation of gas pipelines were revealed from the analysis of the optimal solutions of the model. (author)

  7. ALMA Pipeline Heuristics

    Science.gov (United States)

    Muders, D.; Boone, F.; Wyrowski, F.; Lightfoot, J.; Kosugi, G.; Wilson, C.; Davis, L.; Shepherd, D.

    2007-10-01

    The Atacama Large Millimeter Array / Atacama Compact Array (ALMA / ACA) Pipeline Heuristics system is being developed to automatically reduce data taken with the standard observing modes such as single fields, mosaics or on-the-fly maps. The goal is to make ALMA user-friendly to astronomers who are not experts in radio interferometry. The Pipeline Heuristics must capture the expert knowledge required to provide data products that can be used without further processing. The Pipeline Heuristics system is being developed as a set of Python scripts using as the data processing engines the Common Astronomy Software Applications (CASA[PY]) libraries and the ATNF Spectral Analysis Package (ASAP). The interferometry heuristics scripts currently provide an end-to-end process for the single field mode comprising flagging, initial calibration, re-flagging, re-calibration, and imaging of the target data. A Java browser provides user-friendly access to the heuristics results. The initial single-dish heuristics scripts implement automatic spectral line detection, baseline fitting and image gridding. The resulting data cubes are analyzed to detect source emission spectrally and spatially in order to calculate signal-to-noise ratios for comparison against the science goals specified by the observer.

  8. Analyzing the pupil response due to increased cognitive demand: an independent component analysis study.

    Science.gov (United States)

    Jainta, S; Baccino, T

    2010-07-01

    Pupillometry is used to indicate the relative extent of processing demands within or between tasks; however, this analysis is complicated by the fact that the pupil also responds to low-level aspects of visual input. First, we attempted to identify "principal" components that contribute to the pupil response by computing a principal component analysis (PCA) and second, to reveal "hidden" sources within the pupil response by calculating an independent component analysis (ICA). Pupil response data were collected while subjects read, added or multiplied numbers. A set of 3 factors/components were identified as resembling the individual pupil responses, but only one ICA component changed in concordance to the cognitive demand. This component alone accounted for about 50% of the variance of the pupil response during the most demanding task, i.e. the multiplication task. The highest impact of this factor was observed for 2000 to 300ms after task onset. Even though we did not attempt to answer the question of the functional background of the components 1 and 3, we speculated that component 2 might reflect the effort a subject engages to perform a task with greater difficulty.

  9. [Quantitative analysis of the demand for emergency medicine in Yokohama City, Japan].

    Science.gov (United States)

    Ohshige, Kenji; Ii, Masako; Nawata, Kazumitsu; Mizushima, Shunsaku; Tochikubo, Osamu

    2003-09-01

    We analyzed regional characteristics that potentially might affect regional demand for emergency medicine in Yokohama city and projected the number of future ambulance users. The number of patients transported by ambulance was regarded as an index of the demand for emergency medicine. Various factors that may affect regional demand for emergency medicine were used as dependent variables in multiple regression analysis. The future population was estimated by the cohort change rate method based on the 1995 and 2000 censuses. Data pertaining to ambulance use were obtained from the Annual Fire Fighting Bulletin, Yokohama. Data pertaining to regional factors were obtained from the Annual Health Statistics Report, Yokohama; the Annual Health Statistics Report, Kanagawa; and the Statistics Report, Yokohama. Statistically significant relations were observed between ambulance use per 1000 population and particular regional characteristics, i.e. the proportion of persons undergoing health examinations conducted by public health centers, the number of educational health promotion programs managed by the public sector, the proportion of persons in receipt of livelihood protection, the proportions of roads and commercial areas in each district in relation to the total area, the mean land price, the age-adjusted mortality rate, and the proportion of persons aged 65 years or over. The demand for emergency medicine in Yokohama city was predicted to increase dramatically as the population ages. The number of patients transported by ambulance, which was 121,606 in 2000, was projected to exceed 250,000 in 2030 and to approximate 300,000 in 2050. The demand for emergency medicine will increase dramatically in Yokohama city as the society ages, Regional emergency medical systems should be improved accordingly.

  10. Job Demand and Job Resources related to the turnover intention of public health nurses: An analysis using a Job Demands-Resources model.

    Science.gov (United States)

    Iguchi, Aya

    2016-01-01

    Objectives The purpose of this study was to investigate the job demands and job resources of public health nurses based on the Job Demands-Resources (JD-R) model, and to build a model that can estimate turnover intention based on job demands and job resources.Method By adding 12 items to the existing questionnaire, the author created a questionnaire consisting of 10 factors and 167 items, and used statistical analysis to examine job demands and job resources in relation to turnover intention.Results Out of 2,668 questionnaires sent, 1993 (72.5%) were returned. Considering sex-based differences in occupational stress, I analyzed women's answers in 1766 (66.2%) mails among the 1798 valid responses. The average age of respondents was 41.0±9.8 years, and the mean service duration was 17.0±10.0 years. For public health nurses, there was a turnover intention of 9.2%. The "job demands" section consisted of 29 items and 10 factors, while the "job resources" section consisted of 54 items and 22 factors. The result of examining the structure of job demands and job resources, leading to turnover intention was supported by the JD-R model. Turnover intention was strong and the Mental Component Summary (MCS) is low in those who had many job demands and few job resources (experiencing 'burn-out'). Enhancement of work engagement and turnover intention was weak in those who had many job resources. This explained approximately 60% of the dispersion to "burn-out", and approximately 40% to "work engagement", with four factors: work suitability, work significance, positive work self-balance, and growth opportunity of job resources.Conclusion This study revealed that turnover intention is strong in those who are burned out because of many job demands. Enhancement of work engagement and turnover intention is weak in those with many job resources. This suggests that suitable staffing and organized efforts to raise awareness of job significance are effective in reducing

  11. Demand Analysis of Logistics Information Matching Platform: A Survey from Highway Freight Market in Zhejiang Province

    Science.gov (United States)

    Chen, Daqiang; Shen, Xiahong; Tong, Bing; Zhu, Xiaoxiao; Feng, Tao

    With the increasing competition in logistics industry and promotion of lower logistics costs requirements, the construction of logistics information matching platform for highway transportation plays an important role, and the accuracy of platform design is the key to successful operation or not. Based on survey results of logistics service providers, customers and regulation authorities to access to information and in-depth information demand analysis of logistics information matching platform for highway transportation in Zhejiang province, a survey analysis for framework of logistics information matching platform for highway transportation is provided.

  12. RIKEN Integrated Sequence Analysis (RISA) System—384-Format Sequencing Pipeline with 384 Multicapillary Sequencer

    Science.gov (United States)

    Shibata, Kazuhiro; Itoh, Masayoshi; Aizawa, Katsunori; Nagaoka, Sumiharu; Sasaki, Nobuya; Carninci, Piero; Konno, Hideaki; Akiyama, Junichi; Nishi, Katsuo; Kitsunai, Tokuji; Tashiro, Hideo; Itoh, Mari; Sumi, Noriko; Ishii, Yoshiyuki; Nakamura, Shin; Hazama, Makoto; Nishine, Tsutomu; Harada, Akira; Yamamoto, Rintaro; Matsumoto, Hiroyuki; Sakaguchi, Sumito; Ikegami, Takashi; Kashiwagi, Katsuya; Fujiwake, Syuji; Inoue, Kouji; Togawa, Yoshiyuki; Izawa, Masaki; Ohara, Eiji; Watahiki, Masanori; Yoneda, Yuko; Ishikawa, Tomokazu; Ozawa, Kaori; Tanaka, Takumi; Matsuura, Shuji; Kawai, Jun; Okazaki, Yasushi; Muramatsu, Masami; Inoue, Yorinao; Kira, Akira; Hayashizaki, Yoshihide

    2000-01-01

    The RIKEN high-throughput 384-format sequencing pipeline (RISA system) including a 384-multicapillary sequencer (the so-called RISA sequencer) was developed for the RIKEN mouse encyclopedia project. The RISA system consists of colony picking, template preparation, sequencing reaction, and the sequencing process. A novel high-throughput 384-format capillary sequencer system (RISA sequencer system) was developed for the sequencing process. This system consists of a 384-multicapillary auto sequencer (RISA sequencer), a 384-multicapillary array assembler (CAS), and a 384-multicapillary casting device. The RISA sequencer can simultaneously analyze 384 independent sequencing products. The optical system is a scanning system chosen after careful comparison with an image detection system for the simultaneous detection of the 384-capillary array. This scanning system can be used with any fluorescent-labeled sequencing reaction (chain termination reaction), including transcriptional sequencing based on RNA polymerase, which was originally developed by us, and cycle sequencing based on thermostable DNA polymerase. For long-read sequencing, 380 out of 384 sequences (99.2%) were successfully analyzed and the average read length, with more than 99% accuracy, was 654.4 bp. A single RISA sequencer can analyze 216 kb with >99% accuracy in 2.7 h (90 kb/h). For short-read sequencing to cluster the 3′ end and 5′ end sequencing by reading 350 bp, 384 samples can be analyzed in 1.5 h. We have also developed a RISA inoculator, RISA filtrator and densitometer, RISA plasmid preparator which can handle throughput of 40,000 samples in 17.5 h, and a high-throughput RISA thermal cycler which has four 384-well sites. The combination of these technologies allowed us to construct the RISA system consisting of 16 RISA sequencers, which can process 50,000 DNA samples per day. One haploid genome shotgun sequence of a higher organism, such as human, mouse, rat, domestic animals, and plants, can

  13. RIKEN integrated sequence analysis (RISA) system--384-format sequencing pipeline with 384 multicapillary sequencer.

    Science.gov (United States)

    Shibata, K; Itoh, M; Aizawa, K; Nagaoka, S; Sasaki, N; Carninci, P; Konno, H; Akiyama, J; Nishi, K; Kitsunai, T; Tashiro, H; Itoh, M; Sumi, N; Ishii, Y; Nakamura, S; Hazama, M; Nishine, T; Harada, A; Yamamoto, R; Matsumoto, H; Sakaguchi, S; Ikegami, T; Kashiwagi, K; Fujiwake, S; Inoue, K; Togawa, Y

    2000-11-01

    The RIKEN high-throughput 384-format sequencing pipeline (RISA system) including a 384-multicapillary sequencer (the so-called RISA sequencer) was developed for the RIKEN mouse encyclopedia project. The RISA system consists of colony picking, template preparation, sequencing reaction, and the sequencing process. A novel high-throughput 384-format capillary sequencer system (RISA sequencer system) was developed for the sequencing process. This system consists of a 384-multicapillary auto sequencer (RISA sequencer), a 384-multicapillary array assembler (CAS), and a 384-multicapillary casting device. The RISA sequencer can simultaneously analyze 384 independent sequencing products. The optical system is a scanning system chosen after careful comparison with an image detection system for the simultaneous detection of the 384-capillary array. This scanning system can be used with any fluorescent-labeled sequencing reaction (chain termination reaction), including transcriptional sequencing based on RNA polymerase, which was originally developed by us, and cycle sequencing based on thermostable DNA polymerase. For long-read sequencing, 380 out of 384 sequences (99.2%) were successfully analyzed and the average read length, with more than 99% accuracy, was 654.4 bp. A single RISA sequencer can analyze 216 kb with >99% accuracy in 2.7 h (90 kb/h). For short-read sequencing to cluster the 3' end and 5' end sequencing by reading 350 bp, 384 samples can be analyzed in 1.5 h. We have also developed a RISA inoculator, RISA filtrator and densitometer, RISA plasmid preparator which can handle throughput of 40,000 samples in 17.5 h, and a high-throughput RISA thermal cycler which has four 384-well sites. The combination of these technologies allowed us to construct the RISA system consisting of 16 RISA sequencers, which can process 50,000 DNA samples per day. One haploid genome shotgun sequence of a higher organism, such as human, mouse, rat, domestic animals, and plants, can be

  14. Menu Analysis for Improved Customer Demand and Profitability in Hospital Cafeterias.

    Science.gov (United States)

    Mann, Linda L.; MacInnis, Donna; Gardiner, Nicole

    1999-01-01

    Several sophisticated menu analysis methods have been compared in studies using theoretical restaurant menus. Institutional and especially hospital cafeterias differ from commercial restaurants in ways that may influence the effectiveness of these menu analysis methods. In this study, we compared three different menu analysis methods - menu engineering, goal value analysis, and marginal analysis in an institutional setting, to evaluate their relative effectiveness for menu management decision-making. The three methods were used to analyze menu cost and sales data for a representative cafeteria in a large metropolitan hospital. The results were compared with informal analyses by the manager and an employee to determine accuracy and value of information for decision-making. Results suggested that all three methods would improve menu planning and pricing, which in turn would enhance customer demand (revenue) and profitability. However, menu engineering was ranked the easiest of the three methods to interpret.

  15. Solutions for complex, multi data type and multi tool analysis: principles and applications of using workflow and pipelining methods.

    Science.gov (United States)

    Munro, Robin E J; Guo, Yike

    2009-01-01

    Analytical workflow technology, sometimes also called data pipelining, is the fundamental component that provides the scalable analytical middleware that can be used to enable the rapid building and deployment of an analytical application. Analytical workflows enable researchers, analysts and informaticians to integrate and access data and tools from structured and non-structured data sources so that analytics can bridge different silos of information; compose multiple analytical methods and data transformations without coding; rapidly develop applications and solutions by visually constructing analytical workflows that are easy to revise should the requirements change; access domain-specific extensions for specific projects or areas, for example, text extraction, visualisation, reporting, genetics, cheminformatics, bioinformatics and patient-based analytics; automatically deploy workflows directly into web portals and as web services to be part of a service-oriented architecture (SOA). By performing workflow building, using a middleware layer for data integration, it is a relatively simple exercise to visually design an analytical process for data analysis and then publish this as a service to a web browser. All this is encapsulated into what can be referred to as an 'Embedded Analytics' methodology which will be described here with examples covering different scientifically focused data analysis problems.

  16. Automated Sanger Analysis Pipeline (ASAP): A Tool for Rapidly Analyzing Sanger Sequencing Data with Minimum User Interference

    Science.gov (United States)

    Singh, Aditya; Bhatia, Prateek

    2016-01-01

    Sanger sequencing platforms, such as applied biosystems instruments, generate chromatogram files. Generally, for 1 region of a sequence, we use both forward and reverse primers to sequence that area, in that way, we have 2 sequences that need to be aligned and a consensus generated before mutation detection studies. This work is cumbersome and takes time, especially if the gene is large with many exons. Hence, we devised a rapid automated command system to filter, build, and align consensus sequences and also optionally extract exonic regions, translate them in all frames, and perform an amino acid alignment starting from raw sequence data within a very short time. In full capabilities of Automated Mutation Analysis Pipeline (ASAP), it is able to read "*.ab1" chromatogram files through command line interface, convert it to the FASTQ format, trim the low-quality regions, reverse-complement the reverse sequence, create a consensus sequence, extract the exonic regions using a reference exonic sequence, translate the sequence in all frames, and align the nucleic acid and amino acid sequences to reference nucleic acid and amino acid sequences, respectively. All files are created and can be used for further analysis. ASAP is available as Python 3.x executable at https://github.com/aditya-88/ASAP. The version described in this paper is 0.28. PMID:27790076

  17. Finite-Element Analysis of Crack Arrest Properties of Fiber Reinforced Composites Application in Semi-Elliptical Cracked Pipelines

    Science.gov (United States)

    Wang, Linyuan; Song, Shulei; Deng, Hongbo; Zhong, Kai

    2017-07-01

    In nowadays, repair method using fiber reinforced composites as the mainstream pipe repair technology, it can provide security for X100 high-grade steel energy long-distance pipelines in engineering. In this paper, analysis of cracked X100 high-grade steel pipe was conducted, simulation analysis was made on structure of pipes and crack arresters (CAs) to obtain the J-integral value in virtue of ANSYS Workbench finite element software and evaluation on crack arrest effects was done through measured elastic-plastic fracture mechanics parameter J-integral and the crack arrest coefficient K, in a bid to summarize effect laws of composite CAs and size of pipes and cracks for repairing CAs. The results indicate that the K value is correlated with laying angle λ, laying length L2/D1, laying thickness T1/T2of CAs, crack depth c/T1 and crack length a/c, and calculate recommended parameters for repairing fiber reinforced composite CAs in terms of two different crack forms.

  18. Reliability and risk analysis and evaluation of a port oil pipeline transportation system in variable operation conditions

    Energy Technology Data Exchange (ETDEWEB)

    Soszynska, Joanna [Gdynia Maritime University, Gdynia (Poland)

    2009-07-01

    In the paper the semi-Markov model is applied to describe the port oil pipeline transportation system operation processes and its selected parameters are determined. Multi-state systems are considered and their reliability and risk are found. Next, the joint model of the systems' operation process and the systems' multi-state reliability is applied to the reliability and risk evaluation of the port oil pipeline transportation system. (author)

  19. Applications of API RP 1102 in stress analysis of buried pipelines at automated cultivation land; Avaliacao de tensoes em dutos enterrados, em area de cultura mecanizada, a luz da norma API RP 1102

    Energy Technology Data Exchange (ETDEWEB)

    Spagnolo, Rodrigo Alves; Castro, Newton Camelo de [PETROBRAS Transportes S.A. (TRANSPETRO), Rio de Janeiro, RJ (Brazil)

    2005-07-01

    According to the development of the agriculture business in the Midwest of Brazil, it can be noted that the cultivated land has imposed to the right of way pipeline weight and quantity increasing of vehicles moving above TRANSPETRO pipelines. This paper has the objective promoting discussions about this theme, presenting preceding conclusions when analyzing pipeline stresses, when the pipeline equipment are submitted to great loadings of agricultural machines. In order to execute this analysis, analytical formulations were used to compute static and dynamic loadings. These evaluations were referenced from API RP 1102 american norm. Many loading simulations, with different operating and environment configurations to the buried installations, were realized. These data were applied having the purpose of diagnosing typical situations existing in automated cultivated land crossings, related to OSBRA (Oleoduto Sao Paulo - Brasilia) right of way pipeline. (author)

  20. Spatial analysis of electricity demand patterns in Greece: Application of a GIS-based methodological framework

    Science.gov (United States)

    Tyralis, Hristos; Mamassis, Nikos; Photis, Yorgos N.

    2016-04-01

    We investigate various uses of electricity demand in Greece (agricultural, commercial, domestic, industrial use as well as use for public and municipal authorities and street lightning) and we examine their relation with variables such as population, total area, population density and the Gross Domestic Product. The analysis is performed on data which span from 2008 to 2012 and have annual temporal resolution and spatial resolution down to the level of prefecture. We both visualize the results of the analysis and we perform cluster and outlier analysis using the Anselin local Moran's I statistic as well as hot spot analysis using the Getis-Ord Gi* statistic. The definition of the spatial patterns and relationships of the aforementioned variables in a GIS environment provides meaningful insight and better understanding of the regional development model in Greece and justifies the basis for an energy demand forecasting methodology. Acknowledgement: This research has been partly financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) - Research Funding Program: ARISTEIA II: Reinforcement of the interdisciplinary and/ or inter-institutional research and innovation (CRESSENDO project; grant number 5145).

  1. Physiological demands of women's rugby union: time-motion analysis and heart rate response.

    Science.gov (United States)

    Virr, Jody Lynn; Game, Alex; Bell, Gordon John; Syrotuik, Daniel

    2014-01-01

    The aim of this study was to determine the physical demands of women's rugby union match play using time-motion analysis and heart rate (HR) response. Thirty-eight premier club level female rugby players, ages 18-34 years were videotaped and HRs monitored for a full match. Performances were coded into 12 different movement categories: 5 speeds of locomotion (standing, walking, jogging, striding, sprinting), 4 forms of intensive non-running exertion (ruck/maul/tackle, pack down, scrum, lift) and 3 discrete activities (kick, jump, open field tackle). The main results revealed that backs spend significantly more time sprinting and walking whereas forwards spend more time in intensive non-running exertion and jogging. Forwards also had a significantly higher total work frequency compared to the backs, but a higher total rest frequency compared to the backs. In terms of HR responses, forwards displayed higher mean HRs throughout the match and more time above 80% of their maximum HR than backs. In summary, women's rugby union is characterised by intermittent bursts of high-intensity activity, where forwards and backs have similar anaerobic energy demands, but different specific match demands.

  2. Water flows, energy demand, and market analysis of the informal water sector in Kisumu, Kenya.

    Science.gov (United States)

    Sima, Laura C; Kelner-Levine, Evan; Eckelman, Matthew J; McCarty, Kathleen M; Elimelech, Menachem

    2013-03-01

    In rapidly growing urban areas of developing countries, infrastructure has not been able to cope with population growth. Informal water businesses fulfill unmet water supply needs, yet little is understood about this sector. This paper presents data gathered from quantitative interviews with informal water business operators (n=260) in Kisumu, Kenya, collected during the dry season. Sales volume, location, resource use, and cost were analyzed by using material flow accounting and spatial analysis tools. Estimates show that over 76% of the city's water is consumed by less than 10% of the population who have water piped into their dwellings. The remainder of the population relies on a combination of water sources, including water purchased directly from kiosks (1.5 million m(3) per day) and delivered by hand-drawn water-carts (0.75 million m(3) per day). Energy audits were performed to compare energy use among various water sources in the city. Water delivery by truck is the highest per cubic meter energy demand (35 MJ/m(3)), while the city's tap water has the highest energy use overall (21,000 MJ/day). We group kiosks by neighborhood and compare sales volume and cost with neighborhood-level population data. Contrary to popular belief, we do not find evidence of price gouging; the lowest prices are charged in the highest-demand low-income area. We also see that the informal sector is sensitive to demand, as the number of private boreholes that serve as community water collection points are much larger where demand is greatest.

  3. Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis

    Science.gov (United States)

    Zhang, Bo; Chen, Z. M.; Zeng, L.; Qiao, H.; Chen, B.

    2016-03-01

    With ever increasing water demands and the continuous intensification of water scarcity arising from China's industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water withdrawals by Chinese industry and investigates demand-driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal (DWW), and Construction has the largest embodied industrial water use (EWU). Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water-saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China's water policies.

  4. MODELING OF THE PROCESS OF FORMATION OF INDIVIDUAL MARKETING DEMAND: A COMPARATIVE ANALYSIS AND GENERALIZATION OF THE PRECEDING CORRESPONDING RESULTS

    Directory of Open Access Journals (Sweden)

    Anatoly V. Korotkov

    2015-01-01

    Full Text Available The article focuses on the modeling of series-STI formation of individual market demand. The analysis, and then sum-of three well-known inmarketing models, which exhaust the currentlyknown approaches is revised. The article shows that all three models have a signifi cant difference in the number of stages and terminology. The obtained results are the basis for the developmentof the author’s model of gradual development of demand - «need - desire - requirement -demand» or abbreviated as «model NDRD» and can be considered as a contribution to the methodology of study a demand.

  5. EuDBase: An online resource for automated EST analysis pipeline (ESTFrontier) and database for red seaweed Eucheuma denticulatum.

    Science.gov (United States)

    Hussein, Zeti Azura Mohamed; Loke, Kok Keong; Abidin, Rabiatul Adawiah Zainal; Othman, Roohaida

    2011-01-01

    Functional genomics has proven to be an efficient tool in identifying genes involved in various biological functions. However the availability of commercially important seaweed Eucheuma denticulatum functional resources is still limited. EuDBase is the first seaweed online repository that provides integrated access to ESTs of Eucheuma denticulatum generated from samples collected from Kudat and Semporna in Sabah, Malaysia. The database stored 10,031 ESTs that are clustered and assembled into 2,275 unique transcripts (UT) and 955 singletons. Raw data were automatically processed using ESTFrontier, an in-house automated EST analysis pipeline. Data was collected in MySQL database. Web interface is implemented using PHP and it allows browsing and querying EuDBase through search engine. Data is searchable via BLAST hit, domain search, Gene Ontology or KEGG Pathway. A user-friendly interface allows the identification of sequences either using a simple text query or similarity search. The development of EuDBase is initiated to store, manage and analyze the E. denticulatum ESTs and to provide accumulative digital resources for the use of global scientific community. EuDBase is freely available from http://www.inbiosis.ukm.my/eudbase/.

  6. Second Law Analysis of Adiabatic and Non-Adiabatic Pipeline Flows of Unstable and Surfactant-Stabilized Emulsions

    Directory of Open Access Journals (Sweden)

    Rajinder Pal

    2016-03-01

    Full Text Available Entropy generation, and hence exergy destruction, in adiabatic flow of unstable and surfactant-stabilized emulsions was investigated experimentally in different diameter pipes. Four types of emulsion systems are investigated covering a broad range of the dispersed-phase concentration: (a unstable oil-in-water (O/W emulsions without surfactant; (b surfactant-stabilized O/W emulsions; (c unstable water-in-oil (W/O emulsions without surfactant; and (d surfactant-stabilized W/O emulsions. The entropy generation rate per unit pipe length is affected by the type of the emulsion as well as its stability. Unstable emulsions without any surfactant present at the interface generate less entropy in the turbulent regime as compared with the surfactant-stabilized emulsions of the same viscosity and density. The effect of surfactant is particularly severe in the case of W/O emulsions. In the turbulent regime, the rate of entropy generation in unstable W/O emulsions is much lower in comparison with that observed in the stable W/O emulsions. A significant delay in the transition from laminar to turbulent regime is also observed in the case of unstable W/O emulsion. Finally, the analysis and simulation results are presented on non-adiabatic pipeline flow of emulsions.

  7. Demand for tourism in Greece: a panel data analysis using the gravity model

    OpenAIRE

    Butter, den, F.A.G.; Chasapopoulos, P.; Mihaylov, E.S.

    2014-01-01

    Tourism is one of the major drivers of the Greek economy. The contribution of tourism to the Greek economy has proved especially relevant during the period of the credit and euro crises with a high budgetary and balance of payment deficits. From that perspective this study examines the impact of the socio-economic and geographical determinants of foreign tourism demand in Greece. For the empirical analysis a panel dataset of 31 countries is used over the period 2001-2010. The panel data estim...

  8. Analysis of demand curves in the stock and financial markets of monopolistic competition

    Directory of Open Access Journals (Sweden)

    Mikhail I. Geras’kin

    2016-01-01

    Full Text Available Objective to identify patterns of monopolistic competition as applied to markets of household appliances consumer loans and insurance products in Russia. Methods econometric modeling trending regression analysis analysis of statistical significance. Results the statistical analysis of trends in the market of household appliances insurance and credit markets has been carried out the statistical significance and adequacy of the models has been assessed adequate and accurate regression models of price trends of household appliances and electronics have been developed as well as of the interest rates of consumer loans and insurance rates for loan debts. Scientific novelty the actual patterns of decreasing demand curves for household appliances consumer loans and insurance products were found for the relevant markets in the Russian Federation in 2009ndash2014. Practical significance the model can be used for solving problems of optimal planning strategies of retailers insurers and banks. nbsp

  9. Metrological control of the gas flow and analysis of mass conservation in Bolivia-Brasil gas pipeline; Controle metrologico da vazao de gas e analise da conservacao de massa no gasoduto Bolivia-Brazil

    Energy Technology Data Exchange (ETDEWEB)

    Palhares, Julio Cesar [TBG - Transportadora Brasileira Gasoduto Bolivia-Brasil, S.A., Rio de Janeiro, RJ (Brazil); Orlando, Alcir de Faro; Frota, Mauricio Nogueira [Pontificia Univ. Catolica do Rio de Janeiro, RJ (Brazil). Curso de Pos-graduacao em Metrologia para Qualidade Industrial

    2005-07-01

    International gas pipelines reflect a integrated commerce and impose a metrological challenge for the custody transferences that indistinctly imply in significant economic impact. This work argues the complex analysis of the mass balance and expression of uncertainties of the Gasoduto Bolivia-Brasil (3.150 Km of length, 557 Km in Bolivian territory and 2.593 Km that cross Brazil of West for East), today carrying approximately 60% from its maximum capacity (30 million of cubic meters daily), operating for the Transportadora Brasileira Gasoduto Bolivia Brasil S.A., a enterprise controlled by PETROBRAS Gas S/A (GASPETRO). The TBG measuring methods always taking care of the necessities of the customers as well as being lined up with the changes of the natural gas market. In six years of existence, the TBG came along with the legislation created for regulating agency in formation and adjusted to the establishment of the contract inspector, important landmarks of the evolution of the market. This work presents the definitions that guide the metrological subjects of the TBG, making use of efficient tools in answers for each demand and searching to satisfy its proper necessities, the necessities of its customers and the new demands of the regulating agency. (author)

  10. Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods.

    Science.gov (United States)

    Churchill, Nathan W; Oder, Anita; Abdi, Hervé; Tam, Fred; Lee, Wayne; Thomas, Christopher; Ween, Jon E; Graham, Simon J; Strother, Stephen C

    2012-03-01

    Subject-specific artifacts caused by head motion and physiological noise are major confounds in BOLD fMRI analyses. However, there is little consensus on the optimal choice of data preprocessing steps to minimize these effects. To evaluate the effects of various preprocessing strategies, we present a framework which comprises a combination of (1) nonparametric testing including reproducibility and prediction metrics of the data-driven NPAIRS framework (Strother et al. [2002]: NeuroImage 15:747-771), and (2) intersubject comparison of SPM effects, using DISTATIS (a three-way version of metric multidimensional scaling (Abdi et al. [2009]: NeuroImage 45:89-95). It is shown that the quality of brain activation maps may be significantly limited by sub-optimal choices of data preprocessing steps (or "pipeline") in a clinical task-design, an fMRI adaptation of the widely used Trail-Making Test. The relative importance of motion correction, physiological noise correction, motion parameter regression, and temporal detrending were examined for fMRI data acquired in young, healthy adults. Analysis performance and the quality of activation maps were evaluated based on Penalized Discriminant Analysis (PDA). The relative importance of different preprocessing steps was assessed by (1) a nonparametric Friedman rank test for fixed sets of preprocessing steps, applied to all subjects; and (2) evaluating pipelines chosen specifically for each subject. Results demonstrate that preprocessing choices have significant, but subject-dependant effects, and that individually-optimized pipelines may significantly improve the reproducibility of fMRI results over fixed pipelines. This was demonstrated by the detection of a significant interaction with motion parameter regression and physiological noise correction, even though the range of subject head motion was small across the group (≪ 1 voxel). Optimizing pipelines on an individual-subject basis also revealed brain activation patterns

  11. Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand

    Directory of Open Access Journals (Sweden)

    Kyung-bin Kwon

    2016-10-01

    Full Text Available The use of appropriate hourly reserve margins can maintain power system security by balancing supply and demand in the presence of errors in the forecast demand, generation outages, or errors in the forecast of wind power generation. Because the cost of unit commitment increases with larger reserve margins, cost analysis to determine the most economical reserve margin is an important issue in power system operation. Here, we define the “short-term reliability of balance” and describe a method to determine the reserve margin based on the short-term reliability of balance. We describe a case study, in which we calculate the reserve margin using this method with various standards of short-term reliability of balance. A cost analysis is then performed to determine the most economic standard, and a comparison between our method and a conventional method is carried out. The results show that our method with an economic short-term reliability of balance enables more reliable and efficient operation of the power system. Moreover, with an hourly reserve margin, we show that an increase in wind power generation can result in a significant decrease in the operating cost, which makes wind power generation economically viable.

  12. Emergency preparedness of OSBRA Pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Magalhaes, Milton P.; Torres, Carlos A.R.; Almeida, Francisco J.C. [TRANSPETRO, Rio de Janeiro, RJ (Brazil)

    2009-07-01

    This paper presents the experience of PETROBRAS Transporte S. A. - TRANSPETRO in the preparation for emergencies in the OSBRA pipeline, showing specific aspects and solutions developed. The company has a standardized approach for the emergency management, based on risk analysis studies, risk management plan and contingency plans. To cover almost 1,000 km of pipeline, the Company avails of Emergency Response Centers and Environmental Defense Center, located at strategic points. In order to achieve preparation, fire fighting training and oil leakage elimination training are provided. Additionally, simulation exercises are performed, following a schedule worked out according to specific criteria and guidelines. As a conclusion, a picture is presented of the evolution of the preparation for emergencies in the OSBRA System which bears the enormous responsibility of transporting flammable products for almost 1,000 km of pipeline, crossing 40 municipalities, 3 states and the Federal District. (author)

  13. H2S Stress Corrosion Tests of Welded Joint for X65 Pipeline Steel and Finite Element Numerical Analysis of Crack Tip

    Institute of Scientific and Technical Information of China (English)

    金晓军; 霍立兴; 张玉凤; 白秉仁; 李小巍; 曹军

    2003-01-01

    The microstructure of welded joint is surveyed and the mechanical properties of X65 pipeline steel are studied in this paper, which provides experimental basis of performance effect on stress corrosion. H2S stress corrosion cracking (SCC) tests on the steel are carried out in the environment based on NACE TM-01-77 solution. The threshold stress intensity factor and crack propagation velocity for base metal and HAZ are obtained. The susceptibility of welded joint for X65 pipeline steel to H2S stress corrosion cracking is investigated. The programming package ANSYS of finite element model (FEM) is used to perform the three-dimensional elastic-plastic finite element analysis of WOL specimens. Stress field and concentration of hydrogen distribution property of the crack tip are obtained.

  14. Corrosion Failure Analysis of Ductile Iron Potable Water Pipeline%球墨铸铁饮用水管道腐蚀失效分析

    Institute of Scientific and Technical Information of China (English)

    乔培鹏; 刘飞华; 赵万祥

    2011-01-01

    The corrosion failure behavior of ductile iron potable water,pipeline in a nuclear power plant was investigated by surface analysis method, X-ray diffraction and microbial technology. The results showed that tubercles caused by microbiologically influenced corrosion led to the pipeline failure directly. The local oxygen- concentration corrosion was another cause for accelerating the corrosion rate.%采用表面分析法、X射线衍射和微生物技术,综合研究了核电厂球墨铸铁材料饮用水管线的腐蚀失效行为。结果表明,微生物腐蚀引起的腐蚀瘤是导致管线失效的直接原因,局部氧浓差腐蚀起到了一定的加速作用。

  15. Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis

    DEFF Research Database (Denmark)

    Strother, Stephen C.; Conte, Stephen La; Hansen, Lars Kai

    2004-01-01

    of baseline scans have constant, equal means, and this assumption was assessed with prediction metrics. Higher-order polynomial warps compared to affine alignment had only a minor impact on the performance metrics. We found that both prediction and reproducibility metrics were required for optimizing......We argue that published results demonstrate that new insights into human brain function may be obscured by poor and/or limited choices in the data-processing pipeline, and review the work on performance metrics for optimizing pipelines: prediction, reproducibility, and related empirical Receiver...... Operating Characteristic (ROC) curve metrics. Using the NPAIRS split-half resampling framework for estimating prediction/reproducibility metrics (Strother et al., 2002), we illustrate its use by testing the relative importance of selected pipeline components (interpolation, in-plane spatial smoothing...

  16. An improved modal pushover analysis procedure for estimating seismic demands of structures

    Institute of Scientific and Technical Information of China (English)

    Mao Jianmeng; Zhai Changhai; Xie Lili

    2008-01-01

    The pushover analysis (POA) procedure is difficult to apply to high-rise buildings, as it cannot account for the contributions of higher modes. To overcome this limitation, a modal pushover analysis (MPA) procedure was proposed by Chopra et al. (2001). However, invariable lateral force distributions are still adopted in the MPA. In this paper, an improved MPA procedure is presented to estimate the seismic demands of structures, considering the redistribution of inertia forces after the structure yields. This improved procedure is verified with numerical examples of 5-, 9- and 22-story buildings. It is concluded that the improved MPA procedure is more accurate than either the POA procedure or MPA procedure. In addition, the proposed procedure avoids a large computational effort by adopting a two-phase lateral force distribution..

  17. Analysis and intervention plan of water resource supply and demand in North China

    Science.gov (United States)

    Zang, Yuhang

    2017-04-01

    Firstly, this paper use Regression Analysis Prediction Method to analysis surface water, underground water and sewage treatment, so that we can predict the water supply capacity of North China in the next 15 years. After that, we test the trusting degree of this model to ensure the facticity by identifying the statistical significance of each data. Secondly, we adopt analytic hierarchy process (AHP method) to gain the factors mostly affecting sewage treatment capacity is the Chemical Oxygen Demand and ammoniac nitrogen content in sewage. So we can take measures to increase the amount of water supply in the region. Finally, we adjust the charging standard of living water and together with logistic regression, which can improve the water-saving awareness of local residents so as to effectively reduce the water consumption in the future.

  18. Trace Software Pipelining

    Institute of Scientific and Technical Information of China (English)

    王剑; AndreasKrall; 等

    1995-01-01

    Global software pipelining is a complex but efficient compilation technique to exploit instruction-level parallelism for loops with branches.This paper presents a novel global software pipelining technique,called Trace Software Pipelining,targeted to the instruction-level parallel processors such as Very Long Instruction Word (VLIW) and superscalar machines.Trace software pipelining applies a global code scheduling technique to compact the original loop body.The resulting loop is called a trace software pipelined (TSP) code.The trace softwrae pipelined code can be directly executed with special architectural support or can be transformed into a globally software pipelined loop for the current VLIW and superscalar processors.Thus,exploiting parallelism across all iterations of a loop can be completed through compacting the original loop body with any global code scheduling technique.This makes our new technique very promising in practical compilers.Finally,we also present the preliminary experimental results to support our new approach.

  19. Gas pipelines design for power plants supply; Diseno de gasoductos para abastecimiento de centrales electricas

    Energy Technology Data Exchange (ETDEWEB)

    Alvarez, Oscar G. [TGN Transportadora de Gas del Norte, Buenos Aires (Argentina); Carranza, Hugo A. [TOTAL Gas Transmission, Buenos Aires (Argentina); Casanova, Jorge A. [CMS Energy, Jackson, Michigan (United States); Casares, Carlos A.M. [TECPETROL, Buenos Aires (Argentina)

    2004-07-01

    Natural gas demand continues to grow in the world and in Argentina. The thermoelectric generation increases each year its perceptual participation in a total gas demand. In Latin America, meanwhile,natural gas transport systems do not have availability of economic alternatives for storage, forced to endure severe dynamic requirements to cover peak demand time and day. Under these new conditions to study the characteristics of loads and design methods of new pipelines, and adequacy of existing, deserves revised. The old discussions about stationary design versus transitional design renew face of change in composition of demand. This work analyze the characteristics of demand, the redefinition of the status of load, the criteria for handling line pack, the differences in results by method analysis used (dynamic/stationary), analyzing conceptually and quantitatively the principle variables that affecting the design. Finally runs on a general recommendation to use design patterns when planning a network with increased integration of electricity generation.

  20. Is hyperactivity ubiquitous in ADHD or dependent on environmental demands? Evidence from meta-analysis.

    Science.gov (United States)

    Kofler, Michael J; Raiker, Joseph S; Sarver, Dustin E; Wells, Erica L; Soto, Elia F

    2016-06-01

    Hyperactivity, or excess gross motor activity, is considered a core and ubiquitous characteristic of ADHD. Alternate models question this premise, and propose that hyperactive behavior reflects, to a large extent, purposeful behavior to cope with environmental demands that interact with underlying neurobiological vulnerabilities. The present review critically evaluates the ubiquity and environmental modifiability of hyperactivity in ADHD through meta-analysis of 63 studies of mechanically measured activity level in children, adolescents, and adults with ADHD relative to typically developing groups. Random effects models corrected for publication bias confirmed elevated gross motor activity in ADHD (d=0.86); surprisingly, neither participant age (child vs. adult) nor the proportion of each ADHD sample diagnosed with the inattentive subtype/presentation moderated this effect. In contrast, activity level assessed during high cognitive load conditions in general (d=1.14) and high executive functioning demands in particular (d=1.39) revealed significantly higher effect sizes than activity level during low cognitive load (d=0.36) and in-class schoolwork (d=0.50) settings. Low stimulation environments, more rigorous diagnostic practices, actigraph measurement of movement frequency and intensity, and ADHD samples that included fewer females were also associated with larger effects. Overall, the results are inconsistent with DSM-5 and ADHD models that a) describe hyperactivity as ubiquitous behavior, b) predict a developmental decline in hyperactivity, or c) differentiate subtypes/presentations according to perceived differences in hyperactive behavior. Instead, results suggest that the presence and magnitude of hyperactive behavior in ADHD may be influenced to a considerable extent by environmental factors in general, and cognitive/executive functioning demands in particular.

  1. Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis

    Institute of Scientific and Technical Information of China (English)

    Bo ZHANG; Z.M.CHEN; L.ZENG; H.QIAO; B.CHEN

    2016-01-01

    With ever increasing water demands and the continuous intensification of water scarcity arising from China's industrialization,the country is struggling to harmonize its industrial development and water supply.This paper presents a systems analysis of water withdrawals by Chinese industry and investigates demanddriven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model.In 2007,the Electric Power,Steam,and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal (DWW),and Construction has the largest embodied industrial water use (EWU).Investment,consumption,and exports contribute to 34.6%,33.3%,and 30.6% of the national total EWU,respectively.Specifically,58.0%,51.1%,48.6%,43.3%,and 37.5% of the regional EWUs respectively in Guangdong,Shanghai,Zhejiang,Jiangsu,and Fujian are attributed to international exports.The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW,of which 55.5% is associated with the DWWs of Electric Power,Steam,and Hot Water Production and Supply.Jiangsu is the biggest interregional exporter and deficit receiver of embodied water,in contrast to Guangdong as the biggest interregional importer and surplus receiver.Without implementing effective watersaving measures and adjusting industrial structures,the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products.Steps taken to improve water use efficiency in production,and to enhance embodied water saving in consumption are both of great significance for supporting China's water policies.

  2. Polar bear encephalitis: establishment of a comprehensive next-generation pathogen analysis pipeline for captive and free-living wildlife.

    Science.gov (United States)

    Szentiks, C A; Tsangaras, K; Abendroth, B; Scheuch, M; Stenglein, M D; Wohlsein, P; Heeger, F; Höveler, R; Chen, W; Sun, W; Damiani, A; Nikolin, V; Gruber, A D; Grobbel, M; Kalthoff, D; Höper, D; Czirják, G Á; Derisi, J; Mazzoni, C J; Schüle, A; Aue, A; East, M L; Hofer, H; Beer, M; Osterrieder, N; Greenwood, A D

    2014-05-01

    This report describes three possibly related incidences of encephalitis, two of them lethal, in captive polar bears (Ursus maritimus). Standard diagnostic methods failed to identify pathogens in any of these cases. A comprehensive, three-stage diagnostic 'pipeline' employing both standard serological methods and new DNA microarray and next generation sequencing-based diagnostics was developed, in part as a consequence of this initial failure. This pipeline approach illustrates the strengths, weaknesses and limitations of these tools in determining pathogen caused deaths in non-model organisms such as wildlife species and why the use of a limited number of diagnostic tools may fail to uncover important wildlife pathogens.

  3. ChAMP: Updated Methylation Analysis Pipeline for Illumina BeadChips.

    Science.gov (United States)

    Tian, Yuan; Morris, Tiffany J; Webster, Amy P; Yang, Zhen; Beck, Stephan; Feber, Andrew; Teschendorff, Andrew E

    2017-08-14

    The Illumina Infinium HumanMethylationEPIC BeadChip is the new platform for high-throughput DNA methylation analysis, effectively doubling the coverage compared to the older 450K array. Here we present a significantly updated and improved version of the Bioconductor package ChAMP, which can be used to analyze EPIC and 450k data. Many enhanced functionalities have been added, including correction for cell-type heterogeneity, network analysis, and a series of interactive graphical user interfaces. ChAMP is a BioC package available from https://bioconductor.org/packages/release/bioc/html/ChAMP.html . a.teschendorff@ucl.ac.uk , s.beck@ucl.ac.uk , a.feber@ucl.ac.uk.

  4. iHAP – integrated haplotype analysis pipeline for characterizing the haplotype structure of genes

    Directory of Open Access Journals (Sweden)

    Lim Yun Ping

    2006-12-01

    Full Text Available Abstract Background The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disease association studies. Recent work shows that genotype data from the International HapMap Project have a high degree of transferability to the wider population. This implies that the design of genotyping studies on local populations may be facilitated through inferences drawn from information contained in HapMap populations. Results To facilitate analysis of HapMap data for characterizing the haplotype structure of genes or any chromosomal regions, we have developed an integrated web-based resource, iHAP. In addition to incorporating genotype and haplotype data from the International HapMap Project and gene information from the UCSC Genome Browser Database, iHAP also provides capabilities for inferring haplotype blocks and selecting tag SNPs that are representative of haplotype patterns. These include block partitioning algorithms, block definitions, tag SNP definitions, as well as SNPs to be "force included" as tags. Based on the parameters defined at the input stage, iHAP performs on-the-fly analysis and displays the result graphically as a webpage. To facilitate analysis, intermediate and final result files can be downloaded. Conclusion The iHAP resource, available at http://ihap.bii.a-star.edu.sg, provides a convenient yet flexible approach for the user community to analyze HapMap data and identify candidate targets for genotyping studies.

  5. Storage analysis of steel pipes used in pipelines; Analise do sistema de estocagem de tubos de aco para dutos de transporte

    Energy Technology Data Exchange (ETDEWEB)

    Provenzano, Carlos E.C.; Silva, Breno S.; Fernandes, Lincoln F.; Santos Junior, Sergio J.F. [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil); Louzada, Carlos H.C.M.

    2005-07-01

    New pipelines, request the use of great amount of tubes stored during its construction. Therefore, the cost generated by the storage areas motivates the reconsideration of the stockpiling system. Large areas demand high costs related to its acquisition or rent. The use of small areas can reduce the immediate cost with rent, but also can increase the total cost due to damage of the tubes or increase the risk at the storage conditions. The same considerations could be made for inadequate use of support materials on the stockpiling piles, regarding the quality or amount used. This work presents the modelling of the pyramidal stockpiling system of steel tubes and evaluations to a better configuration. (author)

  6. Factors affecting the unmet demand for pharmacists: state-level analysis.

    Science.gov (United States)

    Taylor, Thomas N; Knapp, Katherine K; Barnett, Mitchell J; Shah, Bijal M; Miller, Laura

    2013-01-01

    To describe the relationship between state-level Aggregate Demand Index (ADI) data and market factors reflecting both supply and demand: unemployment rates, pharmacy graduates, community pharmacy prescription growth rates, and Medicare Part D. Cross-sectional time series analysis using state-level data. U.S. labor market for pharmacists, from 2001 to 2010. Model ADI data for states (dependent variable) against five independent variables: previous year ADI, unemployment rates, pharmacy graduates, prescription growth rates, and Medicare Part D. Significance and predictive ability of the model, sign of the variables studied, and R2. In the two-way (state and time) fixed-effects model, all variables were significant and R2 was 0.79. Contributions to state-level ADIs were, in rank order, previous year ADI, unemployment rates, pharmacy graduates, and prescription growth rates. The model predicted 2010 ADI values for 44 of 51 states within ±10%. The model depicts the independent contributions of each variable for the short (∼1 year) and longer term. Although the nature of ADI data precludes quantitative predictions about the pharmacist job market, the model results show marketplace directions (up or down) and comparative impacts. The model demonstrated that unemployment rates, pharmacy graduates, prescription growth rates, and Medicare Part D contributed significantly to state-level ADIs between 2001 and 2010. The relationships uncovered should be monitored and reexamined as new data emerge in order to anticipate the directions of the pharmacist job market.

  7. Prospective Analysis of the Current Demand of the Local Labour Market

    Directory of Open Access Journals (Sweden)

    Druzhinina Viktoriya V.

    2014-01-01

    Full Text Available The goal of the article lies in forecasting tendencies of the current demand of the local labour market on the basis of the method of statistical equations of dependencies and correlation and regression analysis for prolongation of relevant processes at the meso-level. The article considers a forecast model for co-ordination of dynamics of vacancies depending on socio-economic indicators of city development, which is formed on the basis of the method of statistical equations. This method requires identification of parameters of equations of single-factor dependencies and ratios of communication stability. On the basis of calculated values of these parameters and on the basis of economic and mathematical modelling of certain macro-economic indicators, the article builds equations of multiple regression, use of which would allow forecasting the current demand in the local labour market in the middle-term perspective. The prospect of further studies is forecasting the level of current balance of the local labour market, using the provided methods for forecasting the current supply.

  8. Availability analysis of subsea blowout preventer using Markov model considering demand rate

    Science.gov (United States)

    Kim, Sunghee; Chung, Soyeon; Yang, Youngsoon

    2014-12-01

    Availabilities of subsea Blowout Preventers (BOP) in the Gulf of Mexico Outer Continental Shelf (GoM OCS) is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failures in multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the β factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym) method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs) and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis.

  9. Availability analysis of subsea blowout preventer using Markov model considering demand rate

    Directory of Open Access Journals (Sweden)

    Kim Sunghee

    2014-12-01

    Full Text Available Availabilities of subsea Blowout Preventers (BOP in the Gulf of Mexico Outer Continental Shelf (GoM OCS is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failures in multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the β factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis.

  10. Performance Analysis of On-Demand Routing Protocols in Wireless Mesh Networks

    Directory of Open Access Journals (Sweden)

    Arafatur RAHMAN

    2009-01-01

    Full Text Available Wireless Mesh Networks (WMNs have recently gained a lot of popularity due to their rapid deployment and instant communication capabilities. WMNs are dynamically self-organizing, self-configuring and self-healing with the nodes in the network automatically establishing an adiej hoc network and preserving the mesh connectivity. Designing a routing protocol for WMNs requires several aspects to consider, such as wireless networks, fixed applications, mobile applications, scalability, better performance metrics, efficient routing within infrastructure, load balancing, throughput enhancement, interference, robustness etc. To support communication, various routing protocols are designed for various networks (e.g. ad hoc, sensor, wired etc.. However, all these protocols are not suitable for WMNs, because of the architectural differences among the networks. In this paper, a detailed simulation based performance study and analysis is performed on the reactive routing protocols to verify the suitability of these protocols over such kind of networks. Ad Hoc On-Demand Distance Vector (AODV, Dynamic Source Routing (DSR and Dynamic MANET On-demand (DYMO routing protocol are considered as the representative of reactive routing protocols. The performance differentials are investigated using varying traffic load and number of source. Based on the simulation results, how the performance of each protocol can be improved is also recommended.

  11. Performance analysis of the SAMU/Bauru-SP in peak demand periods

    Directory of Open Access Journals (Sweden)

    Larissa de Souza Ghussn

    2016-09-01

    Full Text Available The population’s quality of life is linked to access to health care services. In the event of urgent or emergency calls to Emergency Services (SAE’s, rapid response to this demand is essential to minimize the possible consequences of the patient’s condition. The Mobile Emergency Service (SAMU/192 is an important SAE to society. It is a federal program and provides the population with emergency care. In this context, the average response time is of fundamental importance because a delay in treatment can mean life or death. Due to budget constraints, the SAE’s cannot have a large number of staff or equipment. Thus, there is a clear trade-off between investment, operating costs and the service level. An objective form to evaluate the system, especially in periods of high demand, is important for managers in order to make allowances for decision-making. In this sense, the objectives of this study are: (i to describe the calls to the SAMU-Bauru/SP, (ii to apply the hypercube model and (iii to obtain key performance measures. To this end, we conducted a case study of the Mobile Emergency Service (SAMU in Bauru. From this analysis, we it was possible to obtain the key performance measures of the SAMU- Bauru/SP.

  12. Aviation Demand and Economic Growth in the Czech Republic: Cointegration Estimation and Causality Analysis

    Directory of Open Access Journals (Sweden)

    Bilal Mehmood

    2014-03-01

    Full Text Available The main purpose of the paper is to empirically examine the aviation-led growth hypothesis for the Czech Republic by testing causality between aviation and economic growth. We resort to econometric tests such as unit root tests and test of cointegration purposed by Johansen (1988. Fully Modified OLS, Dynamic OLS and Conical Cointegration Regression are used to estimate the cointegration equation for time span of 42 years from 1970 to 2012. Empirical results reveal the existence of cointegration between aviation demand and economic growth. Graphic methods such as Cholesky impulse response function (both accumulated and non-accumulated and variance decomposition have also been applied to render the analysis rigorous. The positive contribution of aviation demand to economic growth is similar in all three estimation techniques of cointegration equation. Finally, Granger causality test is also applied to find the direction of causal relationship. Findings help in lime-lighting the importance of aviation industry in economic growth for a developing country like the Czech Republic.

  13. Social movement heterogeneity in public policy framing: A multi-stakeholder analysis of the Keystone XL pipeline

    Science.gov (United States)

    Wesley, David T. A.

    In 2011, stakeholders with differing objectives formed an alliance to oppose the Keystone XL heavy oil pipeline. The alliance, which came to be known as "Tar Sands Action," implemented various strategies, some of which were more successful than others. Tar Sands Action was a largely heterogeneous alliance that included indigenous tribes, environmentalists, ranchers, landowners, and trade unions, making it one of the more diverse social movement organizations in history. Each of these stakeholder categories had distinct demographic structures, representing an array of racial, ethnic, educational, occupational, and political backgrounds. Participants also had differing policy objectives that included combating climate change and protecting jobs, agricultural interests, water resources, wildlife, and human health. The current dissertation examines the Tar Sands Action movement to understand how heterogeneous social movement organizations mobilize supporters, maintain alliances, and create effective frames to achieve policy objectives. A multi-stakeholder analysis of the development, evolution and communication of frames concerning the Keystone XL controversy provides insight into the role of alliances, direct action, and the news media in challenging hegemonic frames. Previous research has ignored the potential value that SMO heterogeneity provides by treating social movements as culturally homogenous. However, diversity has been shown to affect performance in business organizations. The current study demonstrates that under some circumstances, diversity can also improve policy outcomes. Moreover, policy frames are shown to be more effective in sustaining news media and public interest through a process the author calls dynamic frame sequencing (DFS). DFS refers to a process implementing different stakeholder frames at strategically opportune moments. Finally, Tar Sands Action was one of the first SMOs to rely heavily on social media to build alliances, disseminate

  14. Improvement of the analysis of the biochemical oxygen demand (BOD) of Mediterranean seawater by seeding control.

    Science.gov (United States)

    Simon, F Xavier; Penru, Ywann; Guastalli, Andrea R; Llorens, Joan; Baig, Sylvie

    2011-07-15

    Biochemical oxygen demand (BOD) is a useful parameter for assessing the biodegradability of dissolved organic matter in water. At the same time, this parameter is used to evaluate the efficiency with which certain processes remove biodegradable natural organic matter (NOM). However, the values of BOD in seawater are very low (around 2 mgO(2)L(-1)) and the methods used for its analysis are poorly developed. The increasing attention given to seawater desalination in the Mediterranean environment, and related phenomena such as reverse osmosis membrane biofouling, have stimulated interest in seawater BOD close to the Spanish coast. In this study the BOD analysis protocol was refined by introduction of a new step in which a critical quantity of autochthonous microorganisms, measured as adenosine triphosphate, is added. For the samples analyzed, this improvement allowed us to obtain reliable and replicable BOD measurements, standardized with solutions of glucose-glutamic acid and acetate. After 7 days of analysis duration, more than 80% of ultimate BOD is achieved, which in the case of easily biodegradable compounds represents nearly a 60% of the theoretical oxygen demand. BOD(7) obtained from the Mediterranean Sea found to be 2.0±0.3 mgO(2)L(-1) but this value decreased with seawater storage time due to the rapid consumption of labile compounds. No significant differences were found between two samples points located on the Spanish coast, since their organic matter content was similar. Finally, the determination of seawater BOD without the use of inoculum may lead to an underestimation of BOD.

  15. Pipeline modeling and assessment in unstable slopes

    Energy Technology Data Exchange (ETDEWEB)

    Caceres, Carlos Nieves [Oleoducto Central S.A., Bogota, Cundinamarca (Colombia); Ordonez, Mauricio Pereira [SOLSIN S.A.S, Bogota, Cundinamarca (Colombia)

    2010-07-01

    The OCENSA pipeline system is vulnerable to geotechnical problems such as faults, landslides or creeping slopes, which are well-known in the Andes Mountains and tropical countries like Colombia. This paper proposes a methodology to evaluate the pipe behaviour during the soil displacements of slow landslides. Three different cases of analysis are examined, according to site characteristics. The process starts with a simplified analytical model and develops into 3D finite element numerical simulations applied to the on-site geometry of soil and pipe. Case 1 should be used when the unstable site is subject to landslides impacting significant lengths of pipeline, pipeline is straight, and landslide is simple from the geotechnical perspective. Case 2 should be used when pipeline is straight and landslide is complex (creeping slopes and non-conventional stabilization solutions). Case 3 should be used if the pipeline presents vertical or horizontal bends.

  16. Ultrasound monitoring of pipelines; Ultraschallueberwachung an Pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Kircher, W.; Skerra, B.; Kobitsch-Meyer, S. [SONOTEC Ultraschallsensorik, Halle GmbH (Germany)

    2007-01-15

    Pipelines are the most modern, effective and safest transport system, which is world widely spread in a network of millions km length and is annually enlarged about thousands of km. It is sure that these systems, if they should stay save and effective, must be maintained adequately. A technique, which provides accurate and reliable measurement data without interrupting the pipeline operation, ''through the wall'', is the ultrasonic technology. This non-intrusive technology provides data for pig detection as well as it is used for recognising products in pipelines, detecting levels or full/empty states and accomplishment of sediment measurement, distance measurements, position detections and leak search. The article gives a review and describes some applications of ultrasonic technology in pipeline technique. (orig.)

  17. A ChIP-Seq Data Analysis Pipeline Based on Bioconductor Packages

    Directory of Open Access Journals (Sweden)

    Seung-Jin Park

    2017-03-01

    Full Text Available Nowadays, huge volumes of chromatin immunoprecipitation-sequencing (ChIP-Seq data are generated to increase the knowledge on DNA-protein interactions in the cell, and accordingly, many tools have been developed for ChIP-Seq analysis. Here, we provide an example of a streamlined workflow for ChIP-Seq data analysis composed of only four packages in Bioconductor: dada2, QuasR, mosaics, and ChIPseeker. ‘dada2’ performs trimming of the high-throughput sequencing data. ‘QuasR’ and ‘mosaics’ perform quality control and mapping of the input reads to the reference genome and peak calling, respectively. Finally, ‘ChIPseeker’ performs annotation and visualization of the called peaks. This workflow runs well independently of operating systems (e.g., Windows, Mac, or Linux and processes the input fastq files into various results in one run. R code is available at github: https://github.com/ddhb/Workflow_of_Chipseq.git.

  18. Automated system of hydrostatic test - one reality of the analysis of the pipeline integrity; Sistema de teste hidrostatico automatizado - uma realidade na analise da integridade dos dutos

    Energy Technology Data Exchange (ETDEWEB)

    Laxe, Victor; Ataide, Leonardo [CONDUTO, Duque de Caxias, RJ (Brazil)

    2003-07-01

    The accomplishment of hydrostatic tests in pipeline has been used to long years in the certification of the construction methods and assembly. Now with the considerable increase of the installed pipeline, the hydrostatic tests became a tool of significant importance in the evaluation and analysis of the structural integrity of the mesh pipeline. Inserted in this purpose, to CONDUIT it developed an automated system of hydrostatic tests for lines Onshore and Offshore, where the monitoring and registrations, of the essential variables - in 'real team' - such as pressure, temperature, flows and volumes, they made possible to detect leaks, besides the one of small scales, with larger speed and reliability. A supervisory system controlled with PLC's, interlinked the sensor ones and computers, they register and operate the essential variables and the injection of chemical during whole the test, besides generating graphs in 'real team' with inferior input to 5 seconds, making possible the monitoring of several lines, simultaneous and independently. With a system compact, versatile, of easy and fast mobilization, it allows installation in places where the traditional measurement instruments and control are unviable, as uninhabited and automated platforms, points in field open of difficult access, guaranteeing like this continuity and reliability in all of the stages of the test. The application of this technology results in the reduction of work hand and period, bringing reliable necessary results in any situation. (author)

  19. Choice of an Optimal Management Strategy of Transport Demand Using Multi-Criteria Analysis: City of Zagreb Case Study

    Directory of Open Access Journals (Sweden)

    Ljupko Šimunović

    2013-03-01

    Full Text Available After initial enthusiasm by motor vehicles, society is lately increasingly noticing their shortcomings. Traffic problems caused by excessive use of cars, still represent a very serious and widespread problem, particularly in cities. Public opinion expresses dissatisfaction with the quality of the environment and traffic conditions. As the most important demand, the demand for human health stands out in the first place, and, consequently, the demand for sustainable transport development. The fact that the EU is involved in solving traffic problems by means of various directives and scientific research projects, points out the seriousness of the problem. Two solutions which are mainly used for solving traffic problems in cities are the construction or extension of existing transport infrastructure and traffic demand management (TDM. Traffic demand management is a new paradigm, which aims at reducing or transforming of traffic demand through reduction of unnecessary drives by cars and improvement of more efficient, healthier and, above all, cleaner forms of public and non-motorized transport. There is a whole range of methods for traffic demand management, such as Park & Ride system, carpooling, carsharing, priority for the vehicles with specified number of passenger – HOV, teleworking, congestion charging, charging for use of road infrastructure, bicycling infrastructure improvement, etc. The topic of the work focuses on the choice of optimal traffic demand management strategies in the city of Zagreb using multi-criteria analysis.

  20. ALMA Pipeline: Current Status

    Science.gov (United States)

    Shinnaga, H.; Humphreys, E.; Indebetouw, R.; Villard, E.; Kern, J.; Davis, L.; Miura, R. E.; Nakazato, T.; Sugimoto, K.; Kosugi, G.; Akiyama, E.; Muders, D.; Wyrowski, F.; Williams, S.; Lightfoot, J.; Kent, B.; Momjian, E.; Hunter, T.; ALMA Pipeline Team

    2015-12-01

    The ALMA Pipeline is the automated data reduction tool that runs on ALMA data. Current version of the ALMA pipeline produces science quality data products for standard interferometric observing modes up to calibration process. The ALMA Pipeline is comprised of (1) heuristics in the form of Python scripts that select the best processing parameters, and (2) contexts that are given for book-keeping purpose of data processes. The ALMA Pipeline produces a "weblog" that showcases detailed plots for users to judge how each step of calibration processes are treated. The ALMA Interferometric Pipeline was conditionally accepted in March 2014 by processing Cycle 0 and Cycle 1 data sets. From Cycle 2, ALMA Pipeline is used for ALMA data reduction and quality assurance for the projects whose observing modes are supported by the ALMA Pipeline. Pipeline tasks are available based on CASA version 4.2.2, and the first public pipeline release called CASA 4.2.2-pipe has been available since October 2014. One can reduce ALMA data both by CASA tasks as well as by pipeline tasks by using CASA version 4.2.2-pipe.

  1. Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis

    Directory of Open Access Journals (Sweden)

    Che Anney

    2009-06-01

    Full Text Available Abstract Background One of the challenges in the analysis of microarray data is to integrate and compare the selected (e.g., differential gene lists from multiple experiments for common or unique underlying biological themes. A common way to approach this problem is to extract common genes from these gene lists and then subject these genes to enrichment analysis to reveal the underlying biology. However, the capacity of this approach is largely restricted by the limited number of common genes shared by datasets from multiple experiments, which could be caused by the complexity of the biological system itself. Results We now introduce a new Pathway Pattern Extraction Pipeline (PPEP, which extends the existing WPS application by providing a new pathway-level comparative analysis scheme. To facilitate comparing and correlating results from different studies and sources, PPEP contains new interfaces that allow evaluation of the pathway-level enrichment patterns across multiple gene lists. As an exploratory tool, this analysis pipeline may help reveal the underlying biological themes at both the pathway and gene levels. The analysis scheme provided by PPEP begins with multiple gene lists, which may be derived from different studies in terms of the biological contexts, applied technologies, or methodologies. These lists are then subjected to pathway-level comparative analysis for extraction of pathway-level patterns. This analysis pipeline helps to explore the commonality or uniqueness of these lists at the level of pathways or biological processes from different but relevant biological systems using a combination of statistical enrichment measurements, pathway-level pattern extraction, and graphical display of the relationships of genes and their associated pathways as Gene-Term Association Networks (GTANs within the WPS platform. As a proof of concept, we have used the new method to analyze many datasets from our collaborators as well as some public

  2. Economic growth, energy demand and the environment. Empirical insights using time series and decomposition analysis

    Energy Technology Data Exchange (ETDEWEB)

    Boehm, Dirk C.

    2011-07-01

    Industrialization and increasing mobility in developing countries like China and India are resulting in growing energy demand. This hunger for energy is largely satisfied by fossil fuels and thus accompanied by rising emissions. This book aims at empirically giving insights about the relationship between energy consumption, economic growth and CO{sub 2} emissions using recent panel cointegration and decomposition methods. The investigation is carried out for the top energy consumers and CO{sub 2} emitters worldwide with a special emphasis on the European Union and some focus countries for the detailed analysis of the industry and transport sector. The results confirm the need for a more sustainable energy system by implementing measures of energy efficiency and reducing carbon intensity of energy supply by shifting from fossil fuels to renewable energy sources. (orig.)

  3. [Analysis of burnout and job satisfaction among nurses based on the Job Demand-Resource Model].

    Science.gov (United States)

    Yom, Young-Hee

    2013-02-01

    The purpose of this study was to examine burnout and job satisfaction among nurses based on Job Demand-Resource Model. A survey using a structured questionnaire was conducted with 464 hospital nurses. Analysis of data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for the structural equation model. The hypothetical model yielded the following Chi-square=34.13 (p = effect on emotional exhaustion (β = 0.39), whereas supervisor support had direct effects on emotional exhaustion (β = -0.24), depersonalization (β = -0.11), and low personal accomplishment (β = -0.22). Emotional exhaustion (β = -0.42), depersonalization (β = -0.11) and low personal accomplishment (β = -0.36) had significant direct effects on job satisfaction. The results suggest that nurses' workload should be decreased and supervisor's support should be increased in order to retain nurses. Further study with a longitudinal design is necessary.

  4. China's medical savings accounts: an analysis of the price elasticity of demand for health care.

    Science.gov (United States)

    Yu, Hao

    2016-09-20

    Although medical savings accounts (MSAs) have drawn intensive attention across the world for their potential in cost control, there is limited evidence of their impact on the demand for health care. This paper is intended to fill that gap. First, we built up a dynamic model of a consumer's problem of utility maximization in the presence of a nonlinear price schedule embedded in an MSA. Second, the model was implemented using data from a 2-year MSA pilot program in China. The estimated price elasticity under MSAs was between -0.42 and -0.58, i.e., higher than that reported in the literature. The relatively high price elasticity suggests that MSAs as an insurance feature may help control costs. However, the long-term effect of MSAs on health costs is subject to further analysis.

  5. Shipbuilding pipeline production quality improvement

    Directory of Open Access Journals (Sweden)

    T. Buksa

    2010-06-01

    Full Text Available Purpose: The pipeline production is one of major processes in shipbuilding industry. Quality improvement and risk assessment in this process can yield significant savings, both in terms of internal quality costs as well as in terms of customer satisfactions.Design/methodology/approach: Shipbuilding pipeline production quality improvement has been carried out by application of FMEA (Failure Mode and Effect Analysis method. For the successful implementation of FMEA method it is necessary to identify process failure modes or possibility of the appearance of non-compliance, as well as their possible causes. For qualitative analysis of key input variables of the process, in the paper is used Ishikawa diagram and p-chart.Findings: It is shown that proposed approach to risk assessment in shipbuilding pipeline production is applicable to real casa scenario. The analysis has identified the points in the process with the highest probability of occurrence of nonconformities, or the highest risk for error.Research limitations/implications: As the experimenting has been conducted in shipyard, within production process, research schedule must have been set in accordance with production pace. Also, due to character of production process the data collecting was adopted to the production plan in that particular moment.Practical implications: Dealing with causes of potential nonconformities in the process can significantly contribute to the reliability and robustness of the process. Corrective actions that have been taken based on results of analysis significantly contributed to the level of quality in the pipeline production process.Originality/value: The pepper is dealing with a well known method applied in different production environment that are mostly conservative in production approach. It was shown that successful application of proposed approach can yield benefits especially in improved quality of produced pipelines within shipbuilding industry.

  6. Analysis of CO2 Separation from Flue Gas, Pipeline Transportation, and Sequestration in Coal

    Energy Technology Data Exchange (ETDEWEB)

    Eric P. Robertson

    2007-09-01

    This report was written to satisfy a milestone of the Enhanced Coal Bed Methane Recovery and CO2 Sequestration task of the Big Sky Carbon Sequestration project. The report begins to assess the costs associated with separating the CO2 from flue gas and then injecting it into an unminable coal seam. The technical challenges and costs associated with CO2 separation from flue gas and transportation of the separated CO2 from the point source to an appropriate sequestration target was analyzed. The report includes the selection of a specific coal-fired power plant for the application of CO2 separation technology. An appropriate CO2 separation technology was identified from existing commercial technologies. The report also includes a process design for the chosen technology tailored to the selected power plant that used to obtain accurate costs of separating the CO2 from the flue gas. In addition, an analysis of the costs for compression and transportation of the CO2 from the point-source to an appropriate coal bed sequestration site was included in the report.

  7. A Big Data Analytics Pipeline for the Analysis of TESS Full Frame Images

    Science.gov (United States)

    Wampler-Doty, Matthew; Pierce Doty, John

    2015-12-01

    We present a novel method for producing a catalogue of extra-solar planets and transients using the full frame image data from TESS. Our method involves (1) creating a fast Monte Carlo simulation of the TESS science instruments, (2) using the simulation to create a labeled dataset consisting of exoplanets with various orbital durations as well as transients (such as tidal disruption events), (3) using supervised machine learning to find optimal matched filters, Support Vector Machines (SVMs) and statistical classifiers (i.e. naïve Bayes and Markov Random Fields) to detect astronomical objects of interest and (4) “Big Data” analysis to produce a catalogue based on the TESS data. We will apply the resulting methods to all stars in the full frame images. We hope that by providing libraries that conform to industry standards of Free Open Source Software we may invite researchers from the astronomical community as well as the wider data-analytics community to contribute to our effort.

  8. Uncertainty analysis of daily potable water demand on the performance evaluation of rainwater harvesting systems in residential buildings.

    Science.gov (United States)

    Silva, Arthur Santos; Ghisi, Enedir

    2016-09-15

    The objective of this paper is to perform a sensitivity analysis of design variables and an uncertainty analysis of daily potable water demand to evaluate the performance of rainwater harvesting systems in residential buildings. Eight cities in Brazil with different rainfall patterns were analysed. A numeric experiment was performed by means of computer simulation of rainwater harvesting. A sensitivity analysis was performed using variance-based indices for identifying the most important design parameters for rainwater harvesting systems when assessing the potential for potable water savings and underground tank capacity sizing. The uncertainty analysis was performed for different scenarios of potable water demand with stochastic variations in a normal distribution with different coefficients of variation throughout the simulated period. The results have shown that different design variables, such as potable water demand, number of occupants, rainwater demand, and roof area are important for obtaining the ideal underground tank capacity and estimating the potential for potable water savings. The stochastic variations on the potable water demand caused amplitudes of up to 4.8% on the potential for potable water savings and 9.4% on the ideal underground tank capacity. Average amplitudes were quite low for all cities. However, some combinations of parameters resulted in large amplitude of uncertainty and difference from uniform distribution for tank capacities and potential for potable water savings. Stochastic potable water demand generated low uncertainties in the performance evaluation of rainwater harvesting systems; therefore, uniform distribution could be used in computer simulation.

  9. An analysis of the factors influencing demand-side management activity in the electric utility industry

    Science.gov (United States)

    Bock, Mark Joseph

    Demand-side management (DSM), defined as the "planning, implementation, and monitoring of utility activities designed to encourage consumers to modify their pattern of electricity usage, including the timing and level of electricity demand," is a relatively new concept in the U.S. electric power industry. Nevertheless, in twenty years since it was first introduced, utility expenditures on DSM programs, as well as the number of such programs, have grown rapidly. At first glance, it may seem peculiar that a firm would actively attempt to reduce demand for its primary product. There are two primary explanations as to why a utility might pursue DSM: regulatory mandate, and self-interest. The purpose of this dissertation is to determine the impact these influences have on the amount of DSM undertaken by utilities. This research is important for two reasons. First, it provides insight into whether DSM will continue to exist as competition becomes more prevalent in the industry. Secondly, it is important because no one has taken a comprehensive look at firm-level DSM activity on an industry-wide basis. The primary data set used in this dissertation is the U.S. Department of Energy's Annual Electric Utility Report, Form EIA-861, which represents the most comprehensive data set available for analyzing DSM activity in the U.S. There are four measures of DSM activity in this data set: (1) utility expenditures on DSM programs; (2) energy savings by DSM program participants; and (3) the actual and (4) the potential reductions in peak load resulting from utility DSM measures. Each is used as the dependent variable in an econometric analysis where independent variables include various utility characteristics, regulatory characteristics, and service territory and customer characteristics. In general, the results from the econometric analysis suggest that in 1993, DSM activity was primarily the result of regulatory pressure. All of the evidence suggests that if DSM continues to

  10. Proteomic analysis of Ketogulonicigenium vulgare under glutathione reveals high demand for thiamin transport and antioxidant protection.

    Directory of Open Access Journals (Sweden)

    Qian Ma

    Full Text Available Ketogulonicigenium vulgare, though grows poorly when mono-cultured, has been widely used in the industrial production of the precursor of vitamin C with the coculture of Bacillus megaterium. Various efforts have been made to clarify the synergic pattern of this artificial microbial community and to improve the growth and production ability of K. vulgare, but there is still no sound explanation. In previous research, we found that the addition of reduced glutathione into K. vulgare monoculture could significantly improve its growth and productivity. By performing SEM and TEM, we observed that after adding GSH into K. vulgare monoculture, cells became about 4-6 folds elongated, and formed intracytoplasmic membranes (ICM. To explore the molecular mechanism and provide insights into the investigation of the synergic pattern of the co-culture system, we conducted a comparative iTRAQ-2-D-LC-MS/MS-based proteomic analysis of K. vulgare grown under reduced glutathione. Principal component analysis of proteomic data showed that after the addition of glutathione, proteins for thiamin/thiamin pyrophosphate (TPP transport, glutathione transport and the maintenance of membrane integrity, together with several membrane-bound dehydrogenases had significant up-regulation. Besides, several proteins participating in the pentose phosphate pathway and tricarboxylic acid cycle were also up-regulated. Additionally, proteins combating intracellular reactive oxygen species were also up-regulated, which similarly occurred in K. vulgare when the co-cultured B. megaterium cells lysed from our former research results. This study reveals the demand for transmembrane transport of substrates, especially thiamin, and the demand for antioxidant protection of K. vulgare.

  11. Research Note—Prerelease Demand Forecasting for Motion Pictures Using Functional Shape Analysis of Virtual Stock Markets

    OpenAIRE

    Natasha Zhang Foutz; Wolfgang Jank

    2010-01-01

    Prerelease demand forecasting is one of the most crucial yet difficult tasks facing marketers in the $60 billion motion picture industry. We propose functional shape analysis (FSA) of virtual stock markets (VSMs) to address this long-standing challenge. In VSMs, prices of a movie's stock reflect the dynamic demand expectations prior to the movie's release. Using FSA, we identify a small number of distinguishing shapes, e.g., the last-moment velocity spurt, that carry information about a movie...

  12. Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.

    Directory of Open Access Journals (Sweden)

    Jennifer J Barb

    Full Text Available There is much speculation on which hypervariable region provides the highest bacterial specificity in 16S rRNA sequencing. The optimum solution to prevent bias and to obtain a comprehensive view of complex bacterial communities would be to sequence the entire 16S rRNA gene; however, this is not possible with second generation standard library design and short-read next-generation sequencing technology.This paper examines a new process using seven hypervariable or V regions of the 16S rRNA (six amplicons: V2, V3, V4, V6-7, V8, and V9 processed simultaneously on the Ion Torrent Personal Genome Machine (Life Technologies, Grand Island, NY. Four mock samples were amplified using the 16S Ion Metagenomics Kit™ (Life Technologies and their sequencing data is subjected to a novel analytical pipeline.Results are presented at family and genus level. The Kullback-Leibler divergence (DKL, a measure of the departure of the computed from the nominal bacterial distribution in the mock samples, was used to infer which region performed best at the family and genus levels. Three different hypervariable regions, V2, V4, and V6-7, produced the lowest divergence compared to the known mock sample. The V9 region gave the highest (worst average DKL while the V4 gave the lowest (best average DKL. In addition to having a high DKL, the V9 region in both the forward and reverse directions performed the worst finding only 17% and 53% of the known family level and 12% and 47% of the genus level bacteria, while results from the forward and reverse V4 region identified all 17 family level bacteria.The results of our analysis have shown that our sequencing methods using 6 hypervariable regions of the 16S rRNA and subsequent analysis is valid. This method also allowed for the assessment of how well each of the variable regions might perform simultaneously. Our findings will provide the basis for future work intended to assess microbial abundance at different time points

  13. Pipeline integrity: ILI baseline data for QRA

    Energy Technology Data Exchange (ETDEWEB)

    Porter, Todd R. [Tuboscope Pipeline Services, Houston, TX (United States)]. E-mail: tporter@varco.com; Silva, Jose Augusto Pereira da [Pipeway Engenharia, Rio de Janeiro, RJ (Brazil)]. E-mail: guto@pipeway.com; Marr, James [MARR and Associates, Calgary, AB (Canada)]. E-mail: jmarr@marr-associates.com

    2003-07-01

    The initial phase of a pipeline integrity management program (IMP) is conducting a baseline assessment of the pipeline system and segments as part of Quantitative Risk Assessment (QRA). This gives the operator's integrity team the opportunity to identify critical areas and deficiencies in the protection, maintenance, and mitigation strategies. As a part of data gathering and integration of a wide variety of sources, in-line inspection (ILI) data is a key element. In order to move forward in the integrity program development and execution, the baseline geometry of the pipeline must be determined with accuracy and confidence. From this, all subsequent analysis and conclusions will be derived. Tuboscope Pipeline Services (TPS), in conjunction with Pipeway Engenharia of Brazil, operate ILI inertial navigation system (INS) and Caliper geometry tools, to address this integrity requirement. This INS and Caliper ILI tool data provides pipeline trajectory at centimeter level resolution and sub-metre 3D position accuracy along with internal geometry - ovality, dents, misalignment, and wrinkle/buckle characterization. Global strain can be derived from precise INS curvature measurements and departure from the initial pipeline state. Accurate pipeline elevation profile data is essential in the identification of sag/over bend sections for fluid dynamic and hydrostatic calculations. This data, along with pipeline construction, operations, direct assessment and maintenance data is integrated in LinaViewPRO{sup TM}, a pipeline data management system for decision support functions, and subsequent QRA operations. This technology provides the baseline for an informed, accurate and confident integrity management program. This paper/presentation will detail these aspects of an effective IMP, and experience will be presented, showing the benefits for liquid and gas pipeline systems. (author)

  14. Can price get the monkey off our back? A meta-analysis of illicit drug demand.

    Science.gov (United States)

    Gallet, Craig A

    2014-01-01

    Because of the increased availability of price data over the past 15 years, several studies have estimated the demand for illicit drugs, providing 462 estimates of the price elasticity. Results from estimating several meta-regressions reveal that these price elasticity estimates are influenced by a number of study characteristics. For instance, the price elasticity differs across drugs, with its absolute value being smallest for marijuana, compared with cocaine and heroin. Furthermore, price elasticity estimates are sensitive to whether demand is modeled in the short-run or the long-run, measures of quantity and price, whether or not alcohol and other illicit drugs are included in the specification of demand, and the location of demand. However, a number of other factors, including the functional form of demand, several specification issues, the type of data and method used to estimate demand, and the quality of the publication outlet, have less influence on the price elasticity.

  15. Chopped or long roughage: what do calves prefer? Using cross point analysis of double demand functions.

    Directory of Open Access Journals (Sweden)

    Laura E Webb

    Full Text Available The present study aimed to quantify calves' (Bos taurus preference for long versus chopped hay and straw, and hay versus straw, using cross point analysis of double demand functions, in a context where energy intake was not a limiting factor. Nine calves, fed milk replacer and concentrate, were trained to work for roughage rewards from two simultaneously available panels. The cost (number of muzzle presses required on the panels varied in each session (left panel/right panel: 7/35, 14/28, 21/21, 28/14, 35/7. Demand functions were estimated from the proportion of rewards achieved on one panel relative to the total number of rewards achieved in one session. Cross points (cp were calculated as the cost at which an equal number of rewards was achieved from both panels. The deviation of the cp from the midpoint (here 21 indicates the strength of the preference. Calves showed a preference for long versus chopped hay (cp = 14.5; P = 0.004, and for hay versus straw (cp = 38.9; P = 0.004, both of which improve rumen function. Long hay may stimulate chewing more than chopped hay, and the preference for hay versus straw could be related to hedonic characteristics. No preference was found for chopped versus long straw (cp = 20.8; P = 0.910. These results could be used to improve the welfare of calves in production systems; for example, in systems where calves are fed hay along with high energy concentrate, providing long hay instead of chopped could promote roughage intake, rumen development, and rumination.

  16. Modeling and Dynamical Analysis of the Water Resources Supply-Demand System: A Case Study in Haihe River Basin

    Directory of Open Access Journals (Sweden)

    Chongli Di

    2014-01-01

    Full Text Available The relationship between water resources supply and demand is very complex and exhibits nonlinear characteristics, which leads to fewer models that can adequately manage the dynamic evolution process of the water resources supply-demand system. In this paper, we propose a new four-dimensional dynamical model to simulate the internal dynamic evolution process and predict future trends of water supply and demand. At the beginning, a new four-dimensional dynamical model with uncertain parameters is established. Then, the gray code hybrid accelerating genetic algorithm (GHAGA is adopted to identify the unknown parameters of the system based on the statistic data (1998–2009. Finally, the dynamical analysis of the system is further studied by Lyapunov-exponent, phase portraits, and Lyapunov exponent theory. Numerical simulation results demonstrate that the proposed water resources supply-demand system is in a steady state and is suitable for simulating the dynamical characteristics of a complex water supply and demand system. According to the trends of the water supply and demand of several nonlinear simulation cases, the corresponding measures can be proposed to improve the steady development of the water resources supply-demand system.

  17. Spatial analysis of residential fuelwood supply and demand patterns in Mexico using the WISDOM approach

    Energy Technology Data Exchange (ETDEWEB)

    Ghilardi, Adrian; Guerrero, Gabriela; Masera, Omar [CIECO, Center for Ecosystems Research, National Autonomous University of Mexico, Morelia (Mexico)

    2007-07-15

    A WISDOM analysis was conducted in Mexico in order to: (1) identify fuelwood (FW) hot spots in terms of residential FW use and availability of FW resources for the year 2000, and (2) estimate net CO{sub 2} emissions from the non-renewable use of FW. WISDOM (woodfuel integrated supply/demand overview mapping) is a spatially explicit method, based on geographic information system (GIS) technology, which ranks a set of spatial units according to a group of indicators, in order to identify woodfuel priority areas or woodfuel hot spots. A comprehensive analysis was conducted, integrating full coverage national data on land cover classes, land cover change maps (1993-2000), geo-referenced population censuses (1990 and 2000), and a meticulous review of the international literature and Mexican case studies. Following a spatial multi-criteria analysis, 2395 counties (out of a country total of 2424 in year 2000) were ranked based on the number, density and annual growth rate of FW users; the percentage of households that use FW; the resilience of FW consumption, and the magnitude and likely trends of FW forest resources. The WISDOM analysis allowed the identification of 304 high priority counties (HPC), which showed a spatially aggregated pattern into 16 clusters. HPC cover 4% of Mexican territory and represent 27% of total FW consumption. We estimated that 1.3TgCO{sub 2}y{sup -1} are released to the atmosphere by non-renewable FW burning, a value that represents less than 1% of Mexican total annual CO{sub 2} emissions in 2002. The results of the analysis show that WISDOM is a useful tool for both focusing resources to critical areas where action is more needed and to obtain more accurate estimates of the impacts associated to FW use. (author)

  18. A DEMAND-SUPPLY ANALYSIS OF THE SPANISH EDUCATION WAGE PREMIUM

    OpenAIRE

    Manuel A. Hidalgo

    2010-01-01

    This paper estimates education demand for Spain in order to analyze whether variations of the education wage premium between the 1980s and 1990s can be explained within the framework of a supply and demand model. The evidence reveals a stable pattern of growth in the demand for education throughout the eighties and nineties, empirically showing that differences in the evolution of the education wage premium during the two decades can be explained by varying growth in education supply coupled ...

  19. Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California

    Energy Technology Data Exchange (ETDEWEB)

    Yin, Rongxin; Kiliccote, Sila; Piette, Mary Ann; Parrish, Kristen

    2010-05-14

    This paper reports on the potential impact of demand response (DR) strategies in commercial buildings in California based on the Demand Response Quick Assessment Tool (DRQAT), which uses EnergyPlus simulation prototypes for office and retail buildings. The study describes the potential impact of building size, thermal mass, climate, and DR strategies on demand savings in commercial buildings. Sensitivity analyses are performed to evaluate how these factors influence the demand shift and shed during the peak period. The whole-building peak demand of a commercial building with high thermal mass in a hot climate zone can be reduced by 30percent using an optimized demand response strategy. Results are summarized for various simulation scenarios designed to help owners and managers understand the potential savings for demand response deployment. Simulated demand savings under various scenarios were compared to field-measured data in numerous climate zones, allowing calibration of the prototype models. The simulation results are compared to the peak demand data from the Commercial End-Use Survey for commercial buildings in California. On the economic side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic savings for different thermal mass and climate conditions. Our comparison of recent simulation to field test results provides an understanding of the DR potential in commercial buildings.

  20. Pipeline risk assessment

    Energy Technology Data Exchange (ETDEWEB)

    Kariyawasam, S. [TransCanada PipeLines Ltd., Calgary, AB (Canada); Weir, D. [Enbridge Pipelines Inc., Calgary, AB (Canada)] (comps.)

    2009-07-01

    Risk assessments and risk analysis are system-wide activities that include site-specific risk and reliability-based decision-making, implementation, and monitoring. This working group discussed the risk management process in the pipeline industry, including reliability-based integrity management and risk control processes. Attendants at the group discussed reliability-based decision support and performance measurements designed to support corporate risk management policies. New developments and technologies designed to optimize risk management procedures were also presented. The group was divided into 3 sessions: (1) current practice, strengths and limitations of system-wide risk assessments for facility assets; (2) accounting for uncertainties to assure safety; and (3) reliability based excavation repair criteria and removing potentially unsafe corrosion defects. Presentations of risk assessment procedures used at various companies were given. The role of regulators, best practices, and effective networking environments in ensuring the success of risk assessment policies was discussed. Risk assessment models were also reviewed.

  1. Electricity Transmission, Pipelines, and National Trails: An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, Alaska, and Hawaii

    Energy Technology Data Exchange (ETDEWEB)

    Kuiper, James A. [Argonne National Lab. (ANL), Argonne, IL (United States); Krummel, John R. [Argonne National Lab. (ANL), Argonne, IL (United States); Hlava, Kevin J. [Argonne National Lab. (ANL), Argonne, IL (United States); Moore, H. Robert [Argonne National Lab. (ANL), Argonne, IL (United States); Orr, Andrew B. [Argonne National Lab. (ANL), Argonne, IL (United States); Schlueter, Scott O. [Argonne National Lab. (ANL), Argonne, IL (United States); Sullivan, Robert G. [Argonne National Lab. (ANL), Argonne, IL (United States); Zvolanek, Emily A. [Argonne National Lab. (ANL), Argonne, IL (United States)

    2016-11-21

    As has been noted in many reports and publications, acquiring new or expanded rights-of-way for transmission is a challenging process, because numerous land use and land ownership constraints must be overcome to develop pathways suitable for energy transmission infrastructure. In the eastern U.S., more than twenty federally protected national trails (some of which are thousands of miles long, and cross many states) pose a potential obstacle to the development of new or expanded electricity transmission capacity. However, the scope of this potential problem is not well-documented, and there is no baseline information available that could allow all stakeholders to study routing scenarios that could mitigate impacts on national trails. This report, Electricity Transmission, Pipelines, and National Trails: An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, was prepared by the Environmental Science Division of Argonne National Laboratory (Argonne). Argonne was tasked by DOE to analyze the “footprint” of the current network of National Historic and Scenic Trails and the electricity transmission system in the 37 eastern contiguous states, Alaska, and Hawaii; assess the extent to which national trails are affected by electrical transmission; and investigate the extent to which national trails and other sensitive land use types may be affected in the near future by planned transmission lines. Pipelines are secondary to transmission lines for analysis, but are also within the analysis scope in connection with the overall directives of Section 368 of the Energy Policy Act of 2005, and because of the potential for electrical transmission lines being collocated with pipelines.

  2. On the Distance Dependence of the Price Elasticity of Telecommunications Demand; Meta-analysis, and Alternative Theoretical Backgrounds

    NARCIS (Netherlands)

    Ouwersloot, Hans; Rietveld, Piet

    1997-01-01

    The positive correlation between the absolute price elasticity of telecommunications demand and the distance of the calling relation is well known. In this paper we first present a meta-analysis of existing studies to buttress the distance dependence empirically. The analysis confirms the existence

  3. On the Distance Dependence of the Price Elasticity of Telecommunications Demand; Meta-analysis, and Alternative Theoretical Backgrounds

    NARCIS (Netherlands)

    Ouwersloot, Hans; Rietveld, Piet

    1997-01-01

    The positive correlation between the absolute price elasticity of telecommunications demand and the distance of the calling relation is well known. In this paper we first present a meta-analysis of existing studies to buttress the distance dependence empirically. The analysis confirms the existence

  4. 复杂悬跨条件下的管线涡激振动分析%VIV analysis of pipelines under complex span conditions

    Institute of Scientific and Technical Information of China (English)

    James WANG; F. Steven WANG; Gang DUAN; Paul JUKES

    2009-01-01

    Spans occur when a pipeline is laid on a rough undulating seabed or when upheaval buckling occurs due to constrained thermal expansion. This not only results in static and dynamic loads on the flowline at span sections, but also generates vortex induced vibration (VIV), which can lead to fatigue issues. The phenomenon, if not predicted and controlled properly, will negatively affect pipeline integrity, leading to expensive remediation and intervention work. Span analysis can be complicated by: long span lengths, a large number of spans caused by a rough seabed, and multi-span interactions. In addition, the complexity can be more onerous and challenging when soil uncertainty, concrete degradation and unknown residual lay tension are considered in the analysis. This paper describes the latest developments and a .state-of-the-art. finite element analysis program that has been developed to simulate the span response of a flowline under complex boundary and loading conditions. Both VIV and direct wave loading are captured in the analysis and the results are sequentially used for the ultimate limit state (ULS) check and fatigue life calculation.

  5. Final Report For The Erosion And Corrosion Analysis Of Waste Transfer Primary Pipeline Sections From 241-SY Tank Farm

    Energy Technology Data Exchange (ETDEWEB)

    Page, J. S.; Wyrwas, R. B.; Cooke, G. A.

    2012-10-04

    Three sections of primary transfer pipeline removed from the 241-SY Tank Farm in Hanford's 200 West area, labeled as SN-285, SN-286, and SN-278, were analyzed for the presence and amount of corrosion and erosion on the inside surface of the transfer pipe. All three sections of pipe, ranging in length between 6 and 8 in., were received at the 222-S Laboratory still in the pipe-in-pipe assembly. The annular spaces were filled with urethane foam injected into the pipes for as low as reasonably achievable (ALARA) purposes. The 3-in. primary transfer pipes were first separated from the outer encasement, 6-in. pipes. The pipes were cut into small sections, or coupons, based upon the results of a non-destructive pipe wall thickness measurement which used an ultrasonic transducer. Following removal of the foam, the coupons were subjected to a series of analytical methods utilizing both optical microscopy and scanning electron microscopy to obtain erosion and corrosion information. The ultrasonic transducer analysis of the SN-285 primary pipe did not show any thinned locations in the pipe wall which were outside the expected range for the 3-in. schedule 40 pipe of 216 mils. A coupon was cut from the thinnest area on the pipe, and analysis of the inside surface, which was in contact with the tank waste, revealed a continuous layer of corrosion ~ 100 11m (4 mils) thick under a semi-continuous layer of tank waste residue ~ 20 11m (1 mil) thick. This residue layer was composed of an amorphous phase rich in chromium, magnesium, calcium, and chlorine. Small pits were detected throughout the inside pipe surface with depths up to ~ 50 11m (2 mils). Similarly, the SN-286 primary pipe did not show, by the ultrasonic transducer measurements, any thinned locations in the pipe wall which were outside the expected range for this pipe. Analysis of the coupon cut from the pipe section showed the presence of a tank waste layer containing sodium aluminate and phases rich in iron, calcium

  6. Labor Markets and the Social Demand for Education: An Analysis of the Ivory Coast.

    Science.gov (United States)

    Wells, Stuart

    This paper analyzes the relationship between existing secondary and technical schools and employment in the modern private sector of the Ivory Coast. Enrollments in secondary and technical schools are examined, and the social demand for education, characteristics of the Ivorian labor market, and the matching of labor supply and demand are…

  7. A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach

    NARCIS (Netherlands)

    Brons, Martijn; Nijkamp, Peter; Pels, Eric; Rietveld, Piet

    2006-01-01

    Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In th

  8. A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach

    NARCIS (Netherlands)

    Brons, Martijn; Nijkamp, Peter; Pels, Eric; Rietveld, Piet

    2006-01-01

    Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In th

  9. Labor Markets and the Social Demand for Education: An Analysis of the Ivory Coast.

    Science.gov (United States)

    Wells, Stuart

    This paper analyzes the relationship between existing secondary and technical schools and employment in the modern private sector of the Ivory Coast. Enrollments in secondary and technical schools are examined, and the social demand for education, characteristics of the Ivorian labor market, and the matching of labor supply and demand are…

  10. Analysis and Prediction of Chinese Medium and Long Term Total Demand of Grain and Economic Structure

    Directory of Open Access Journals (Sweden)

    Min Yang

    2015-08-01

    Full Text Available With the advance of China’s urbanization, industrialization accelerated and extensions of agricultural, our grain demand changes, then it has a important sense for the forecast of total food demanded during 2014 to 2030 involves China’s food security, social stability and rapid development. In this study, we use time series model to forecast the rural and urban residents’ per capita food consumption in China during 2020 to 2030, then we combines it with population growth and urbanization-related data of the total food demanded to forecast Chinese total demands in 2030. The results showed that the total demand of food has an increasing trend, as it in 2030, the total grain demands was 627.5 million t, food consumption will be reduced and fodder grain consumption will continue to increase. According to this study, we have analyzed the factors affecting changes in demand for food and it came the result that the food demand is influenced interaction with China’s economic structure.

  11. A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach

    NARCIS (Netherlands)

    Brons, Martijn; Nijkamp, Peter; Pels, Eric; Rietveld, Piet

    2006-01-01

    Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In

  12. Academic Demands Are Associated with Reduced Alcohol Consumption by College Students: Evidence from a Daily Analysis

    Science.gov (United States)

    Butler, Adam B.; Spencer, Desiree; Dodge, Kama

    2011-01-01

    There is little empirical evidence linking academic demands or rigor to alcohol consumption by college students. In a 3-week daily study of full-time college students at a public, residential campus in the United States, both current day and next day's academic demands were negatively related to alcohol consumption, and these relationships were…

  13. The Supply-Demand Analysis and Mechanism Innovation of Chinese Rural Public Goods

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    The connotation of rural public goods is expounded.The rural public goods refer to the products and labors that satisfy the production and living of rural residents,economic growth and social progress.The rural public goods is characterized by non-excludability,non-competitiveness and indispensability of other general public goods.The supply situation of Chinese government to rural public goods is analyzed,as well as the demand situation of rural public goods,which includes farmers’ demand on training,the assistance demand of rural weak groups,farmers’ demand on comfortable living conditions and farmers’ demand on "soft" public goods.The paths for innovating the supply mechanism of rural public goods are put forward,which cover perfecting the decision mechanism of public goods supply;scientifically distributing the supply responsibility of rural public goods;facilitating the reform of each supporting equipment and exploring the multiple capital collecting channels of rural public goods.

  14. Religion, Ethnicity and Geography: A Cross-Cultural Analysis of Demand for Education in Ghana

    DEFF Research Database (Denmark)

    Blunch, Niels-Hugo

    2003-01-01

    for economic development this is (or should be) a point of concern to both the national government and international development organizations. On this background, this study analyzes the demand for education in Ghana to try to understand the main factors underlying this. The focus is on cross-cultural......Most cross-cultural research of demand behavior is focused at cross-country studies. For Sub-Saharan Africa, however, the fact that the borders were more or less arbitrarily drawn by the colonial powers suggests that demand behavior - including the demand for education - in this context are more...... affected by within country factors such as ethnicity, geographical location and religion. On this premise, we analyze the demand for education in Ghana from a cross-cultural perspective. A substantial share of Ghanaian youth and young adults has never attended school. As education is an important vehicle...

  15. Religion, Ethnicity and Geography: A Cross-Cultural Analysis of Demand for Education in Ghana

    DEFF Research Database (Denmark)

    Blunch, Niels-Hugo

    2003-01-01

    Most cross-cultural research of demand behavior is focused at cross-country studies. For Sub-Saharan Africa, however, the fact that the borders were more or less arbitrarily drawn by the colonial powers suggests that demand behavior - including the demand for education - in this context are more...... affected by within country factors such as ethnicity, geographical location and religion. On this premise, we analyze the demand for education in Ghana from a cross-cultural perspective. A substantial share of Ghanaian youth and young adults has never attended school. As education is an important vehicle...... for economic development this is (or should be) a point of concern to both the national government and international development organizations. On this background, this study analyzes the demand for education in Ghana to try to understand the main factors underlying this. The focus is on cross-cultural...

  16. Slurry pipeline design approach

    Energy Technology Data Exchange (ETDEWEB)

    Betinol, Roy; Navarro R, Luis [Brass Chile S.A., Santiago (Chile)

    2009-12-19

    Compared to other engineering technologies, the design of a commercial long distance Slurry Pipeline design is a relatively new engineering concept which gained more recognition in the mid 1960 's. Slurry pipeline was first introduced to reduce cost in transporting coal to power generating units. Since then this technology has caught-up worldwide to transport other minerals such as limestone, copper, zinc and iron. In South America, the use of pipeline is commonly practiced in the transport of Copper (Chile, Peru and Argentina), Iron (Chile and Brazil), Zinc (Peru) and Bauxite (Brazil). As more mining operations expand and new mine facilities are opened, the design of the long distance slurry pipeline will continuously present a commercially viable option. The intent of this paper is to present the design process and discuss any new techniques and approach used today to ensure a better, safer and economical slurry pipeline. (author)

  17. Canada - gas supply, demand and current issues

    Energy Technology Data Exchange (ETDEWEB)

    Vollman, K.W. [National Energy Board, Calgary, AB (Canada)

    1996-12-01

    This paper examines the trends in natural gas supply and demand during the decade since deregulation, and provides an assessment of the degree to which the goals of the deregulation agreement have been met. The author then turns to a discussion of current issues in the natural gas industry as seen from a regulator`s perspective. The issues discussed include: excess deliverability and price; pipeline integrity; the Canadian Environmental Assessment Act; new pipeline certification; pipeline jurisdiction; export licensing; financial regulation; and electronic information exchange. (Author)

  18. Electricity Demand Projection Using a Path-Coefficient Analysis and BAG-SA Approach: A Case Study of China

    Directory of Open Access Journals (Sweden)

    Qunli Wu

    2017-01-01

    Full Text Available Path-coefficient analysis is utilized to investigate the direct and indirect effects of economic growth, population growth, urbanization rate, industrialization level, and carbon intensity on electricity demand of China. To improve the projection accuracy of electricity demand, this study proposes a hybrid bat algorithm, Gaussian perturbations, and simulated annealing (BAG-SA optimization method. The proposed BAG-SA algorithm not only inherits the simplicity and efficiency of the standard BA with a capability of searching for global optimality but also enhances local search ability and speeds up the global convergence rate. The BAG-SA algorithm is employed to optimize the coefficients of the multiple linear and quadratic forms of electricity demand estimation model. Results indicate that the proposed algorithm has higher precision and reliability than the coefficients optimized by other single-optimization methods, such as genetic algorithm, particle swarm optimization algorithm, or bat algorithm. And the quadratic form of BAG-SA electricity demand estimation model has better fitting ability compared with the multiple linear form of the model. Therefore, the quadratic form of the model is applied to estimate electricity demand of China from 2016 to 2030. The findings of this study demonstrate that China’s electricity demand will reach 14925200 million KWh in 2030.

  19. Analysis on the balance between supply and demand of crop land in Yantai City of China in 2020

    Science.gov (United States)

    Wang, Qiuxian; Gao, Zhiqiang; Ning, Jicai; Wang, Ye; Gao, Wei

    2014-10-01

    With the fast development of economy and urbanization, the phenomenon of city construction occupying Cropland often happens. As the contradiction between human and land becomes more prominent, the contradiction between the supply and demand of the cropland are more radical in Yantai City of China. Analysis on the balance between supply and demand of cropland is the main basis to determine land use objectives, and also the basis of editing land use planning. In this paper, the authors firstly calculated the potential of cropland supply in Yantai for 2020 according to its current number of the cropland and the potential quantity of other kinds of land changing to the cropland, and then calculated the demand for cropland in 2020 with the methods of the population prediction and its national economic development planning. Then the balance between the supply and demand of cropland was analyzed. The results were that the cropland in Yantai city in 2020 were lower than those of its demand. At last, to relieve the contradiction, the authors tried to put forward some recommendations like optimizing the structure to coordinate the balance between the supply and demand of the cropland etc. to realize its regional sustainable development.

  20. ANALYSIS OF A PRODUCTION-INVENTORY MODEL WITH ERLANGIAN DEMAND ARRIVAL PROCESS

    Institute of Scientific and Technical Information of China (English)

    WANG Jinting; CAO Jinhua; LIU Bin

    2003-01-01

    We study a production-inventory system having a machine, a storage facility. The demand for the product is governed by an Erlangian demand arrival process, where demand sizes are independent and identically distributed random variables. A two-criticalnumber policy (m, M) is used to control a machine's setups and shutdowns, namely, a machine is shut down whenever the inventory level reaches M, and resumes operating only when the inventory level falls below the critical number m(m ≤ M). We obtain the steady state distribution of the inventory process and some performance measures of the process.

  1. Learning from our global competitors: A comparative analysis of science, technology, engineering and mathematics (STEM) education pipelines in the United States, Mainland China and Taiwan

    Science.gov (United States)

    Chow, Christina M.

    Maintaining a competitive edge within the 21st century is dependent on the cultivation of human capital, producing qualified and innovative employees capable of competing within the new global marketplace. Technological advancements in communications technology as well as large scale, infrastructure development has led to a leveled playing field where students in the U.S. will ultimately be competing for jobs with not only local, but also international, peers. Thus, the ability to understand and learn from our global competitors, starting with the examination of innovative education systems and best practice strategies, is tantamount to the economic development, and ultimate survival, of the U.S. as a whole. The purpose of this study was to investigate the current state of science, technology, engineering and mathematics (STEM) education and workforce pipelines in the U.S., China, and Taiwan. Two broad research questions examined STEM workforce production in terms of a) structural differences in primary and secondary school systems, including analysis of minimum high school graduation requirements and assessments as well as b) organizational differences in tertiary education and trends in STEM undergraduate and graduate degrees awarded in each region of interest. While each of the systems studied had their relative strengths and weaknesses, each of the Asian economies studied had valuable insights that can be categorized broadly in terms of STEM capacity, STEM interest and a greater understanding of global prospects that led to heightened STEM awareness. In China and Taiwan, STEM capacity was built via both traditional and vocational school systems. Focused and structured curriculum during the primary and early secondary school years built solid mathematics and science skills that translated into higher performance on international assessments and competitions. Differentiated secondary school options, including vocational high school and technical colleges and

  2. Evaluation of the ductility demand in partial strength steel structures in seismic areas using non-linear static analysis

    OpenAIRE

    Nogueiro, Pedro; Bento, Rita; Silva, Luís Simões da

    2006-01-01

    The performance of a structural system can be evaluated resorting to non-linear static analysis, also commonly referred to as Pushover Analysis, because of the nature of application of lateral loads while defining the capacity of the structure. This analysis involves the estimation of the structural strength and deformation demands and the comparison with the available capacities at desired performance levels. This paper aims at evaluating the seismic response of three steel struc...

  3. Energy Demand

    NARCIS (Netherlands)

    Stehfest, E. et al.

    2014-01-01

    Key policy issues – How will energy demand evolve particularly in emerging and medium- and low- income economies? – What is the mix of end-use energy carriers to meet future energy demand? – How can energy efficiency contribute to reducing the growth rate of energy demand and mitigate pressures on t

  4. Cognition of and Demand for Education and Teaching in Medical Statistics in China: A Systematic Review and Meta-Analysis.

    Science.gov (United States)

    Wu, Yazhou; Zhou, Liang; Li, Gaoming; Yi, Dali; Wu, Xiaojiao; Liu, Xiaoyu; Zhang, Yanqi; Liu, Ling; Yi, Dong

    2015-01-01

    Although a substantial number of studies focus on the teaching and application of medical statistics in China, few studies comprehensively evaluate the recognition of and demand for medical statistics. In addition, the results of these various studies differ and are insufficiently comprehensive and systematic. This investigation aimed to evaluate the general cognition of and demand for medical statistics by undergraduates, graduates, and medical staff in China. We performed a comprehensive database search related to the cognition of and demand for medical statistics from January 2007 to July 2014 and conducted a meta-analysis of non-controlled studies with sub-group analysis for undergraduates, graduates, and medical staff. There are substantial differences with respect to the cognition of theory in medical statistics among undergraduates (73.5%), graduates (60.7%), and medical staff (39.6%). The demand for theory in medical statistics is high among graduates (94.6%), undergraduates (86.1%), and medical staff (88.3%). Regarding specific statistical methods, the cognition of basic statistical methods is higher than of advanced statistical methods. The demand for certain advanced statistical methods, including (but not limited to) multiple analysis of variance (ANOVA), multiple linear regression, and logistic regression, is higher than that for basic statistical methods. The use rates of the Statistical Package for the Social Sciences (SPSS) software and statistical analysis software (SAS) are only 55% and 15%, respectively. The overall statistical competence of undergraduates, graduates, and medical staff is insufficient, and their ability to practically apply their statistical knowledge is limited, which constitutes an unsatisfactory state of affairs for medical statistics education. Because the demand for skills in this area is increasing, the need to reform medical statistics education in China has become urgent.

  5. Cognition of and Demand for Education and Teaching in Medical Statistics in China: A Systematic Review and Meta-Analysis

    Science.gov (United States)

    Li, Gaoming; Yi, Dali; Wu, Xiaojiao; Liu, Xiaoyu; Zhang, Yanqi; Liu, Ling; Yi, Dong

    2015-01-01

    Background Although a substantial number of studies focus on the teaching and application of medical statistics in China, few studies comprehensively evaluate the recognition of and demand for medical statistics. In addition, the results of these various studies differ and are insufficiently comprehensive and systematic. Objectives This investigation aimed to evaluate the general cognition of and demand for medical statistics by undergraduates, graduates, and medical staff in China. Methods We performed a comprehensive database search related to the cognition of and demand for medical statistics from January 2007 to July 2014 and conducted a meta-analysis of non-controlled studies with sub-group analysis for undergraduates, graduates, and medical staff. Results There are substantial differences with respect to the cognition of theory in medical statistics among undergraduates (73.5%), graduates (60.7%), and medical staff (39.6%). The demand for theory in medical statistics is high among graduates (94.6%), undergraduates (86.1%), and medical staff (88.3%). Regarding specific statistical methods, the cognition of basic statistical methods is higher than of advanced statistical methods. The demand for certain advanced statistical methods, including (but not limited to) multiple analysis of variance (ANOVA), multiple linear regression, and logistic regression, is higher than that for basic statistical methods. The use rates of the Statistical Package for the Social Sciences (SPSS) software and statistical analysis software (SAS) are only 55% and 15%, respectively. Conclusion The overall statistical competence of undergraduates, graduates, and medical staff is insufficient, and their ability to practically apply their statistical knowledge is limited, which constitutes an unsatisfactory state of affairs for medical statistics education. Because the demand for skills in this area is increasing, the need to reform medical statistics education in China has become urgent

  6. Research on Optimization Operation of Urban Gas Pipeline Network

    Institute of Scientific and Technical Information of China (English)

    田一梅; 迟海燕; 李鸿; 周颖

    2003-01-01

    The optimization operation of gas pipeline network is investigated in this paper. Based on the theories of system optimization and the multi-object decision, a mathematical model about the multi-object optimization operation of gas pipeline network is established, in line with the demand of urban gas pipeline network operation. At the same time, an effective solution of the mathematical model is presented. A calculating software about optimization operation is compiled, coupling the actual operation of gas pipeline network. It can be applied to the operation of the gas pipeline network. The software was examined by real examples. The results indicated that 2.13%00 energy consumption and 3.12%oo gas supply cost can be reduced through optimization operation.

  7. Risk-based underground pipeline safety management considering corrosion effect.

    Science.gov (United States)

    Shin, Seolin; Lee, Gunhak; Ahmed, Usama; Lee, Yongkyu; Na, Jonggeol; Han, Chonghun

    2017-08-18

    Due to the long term usage and irregular maintenance for corrosion checks, catastrophic accidents have been increasing in underground pipelines. In this study, a new safety management methodology of underground pipeline, risk-based pipeline management, is introduced reflecting corrosion effect. First, principle of the risk-based pipeline management is presented compared with an original method, qualitative measure. It is distinguished from the qualitative measure by reflecting societal risk and corrosion in safety management of underground pipeline. And then, it is applied to an existing underground propylene pipeline in Ulsan Industrial Complex, South Korea. The consequence analysis is based on real information, and the frequency analysis reflects degree of corrosion. For calculation of corrosion rate, direct current voltage gradient (DCVG) and close interval potential survey (CIPS) are conducted. As a result of applying the risk-based pipeline management, risk integral is reduced by 56.8% compared to the qualitative measure. Finally, sensitivity analysis is conducted on variables, which affect the risk of the pipeline. This study would contribute to introduce quantitative measure to pipeline management and increase safety of pipeline. Copyright © 2017 Elsevier B.V. All rights reserved.

  8. Marketing analysis of the demand for housing under construction in Chelyabinsk

    Directory of Open Access Journals (Sweden)

    Trofimenko Elena Jur'evna

    2015-04-01

    Full Text Available In the article the urgency of studying the demand for housing under construction in Chelyabinsk, studied Rosreestra data on quantity of completed contracts for the purchase of property, assess the current state of the real estate market in Chelyabinsk; consumer demand in the property market in Chelyabinsk (size, structure; socio-demographic characteristics of consumers of residential property; consumer preferences when buying a residential property.

  9. Supplier-induced demand: re-examining identification and misspecification in cross-sectional analysis.

    Science.gov (United States)

    Peacock, Stuart J; Richardson, Jeffrey R J

    2007-09-01

    This paper re-examines criticisms of cross-sectional methods used to test for supplier-induced demand (SID) and re-evaluates the empirical evidence using data from Australian medical services. Cross-sectional studies of SID have been criticised on two grounds. First, and most important, the inclusion of the doctor supply in the demand equation leads to an identification problem. This criticism is shown to be invalid, as the doctor supply variable is stochastic and depends upon a variety of other variables including the desirability of the location. Second, cross-sectional studies of SID fail diagnostic tests and produce artefactual findings due to model misspecification. Contrary to this, the re-evaluation of cross-sectional Australian data indicate that demand equations that do not include the doctor supply are misspecified. Empirical evidence from the re-evaluation of Australian medical services data supports the notion of SID. Demand and supply equations are well specified and have very good explanatory power. The demand equation is identified and the desirability of a location is an important predictor of the doctor supply. Results show an average price elasticity of demand of 0.22 and an average elasticity of demand with respect to the doctor supply of 0.46, with the impact of SID becoming stronger as the doctor supply rises. The conclusion we draw from this paper is that two of the main criticisms of the empirical evidence supporting the SID hypothesis have been inappropriately levelled at the methods used. More importantly, SID provides a satisfactory, and robust, explanation of the empirical data on the demand for medical services in Australia.

  10. Electricity Transmission, Pipelines, and National Trails. An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, Alaska, and Hawaii

    Energy Technology Data Exchange (ETDEWEB)

    Kuiper, James A; Krummel, John R; Hlava, Kevin J; Moore, H Robert; Orr, Andrew B; Schlueter, Scott O; Sullivan, Robert G; Zvolanek, Emily A

    2014-03-25

    As has been noted in many reports and publications, acquiring new or expanded rights-of-way for transmission is a challenging process, because numerous land use and land ownership constraints must be overcome to develop pathways suitable for energy transmission infrastructure. In the eastern U.S., more than twenty federally protected national trails (some of which are thousands of miles long, and cross many states) pose a potential obstacle to the development of new or expanded electricity transmission capacity. However, the scope of this potential problem is not well-documented, and there is no baseline information available that could allow all stakeholders to study routing scenarios that could mitigate impacts on national trails. This report, Electricity Transmission, Pipelines, and National Trails: An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, was prepared by the Environmental Science Division of Argonne National Laboratory (Argonne). Argonne was tasked by DOE to analyze the “footprint” of the current network of National Historic and Scenic Trails and the electricity transmission system in the 37 eastern contiguous states, Alaska, and Hawaii; assess the extent to which national trails are affected by electrical transmission; and investigate the extent to which national trails and other sensitive land use types may be affected in the near future by planned transmission lines. Pipelines are secondary to transmission lines for analysis, but are also within the analysis scope in connection with the overall directives of Section 368 of the Energy Policy Act of 2005, and because of the potential for electrical transmission lines being collocated with pipelines. Based on Platts electrical transmission line data, a total of 101 existing intersections with national trails on federal land were found, and 20 proposed intersections. Transmission lines and pipelines are proposed in Alaska; however there are no

  11. Supply and demand in physician markets: a panel data analysis of GP services in Australia.

    Science.gov (United States)

    McRae, Ian; Butler, James R G

    2014-09-01

    To understand the trends in any physician services market it is necessary to understand the nature of both supply and demand, but few studies have jointly examined supply and demand in these markets. This study uses aggregate panel data on general practitioner (GP) services at the Statistical Local Area level in Australia spanning eight years to estimate supply and demand equations for GP services. The structural equations of the model are estimated separately using population-weighted fixed effects panel modelling with the two stage least squares formulation of the generalised method of moments approach (GMM (2SLS)). The estimated price elasticity of demand of [Formula: see text] is comparable with other studies. The direct impact of GP density on demand, while significant, proves almost immaterial in the context of near vertical supply curves. Supply changes are therefore due to shifts in the position of the curves, partly determined by a time trend. The model is validated by comparing post-panel model predictions with actual market outcomes over a period of three years and is found to provide surprisingly accurate projections over a period of significant policy change. The study confirms the need to jointly consider supply and demand in exploring the behaviour of physician services markets.

  12. DEMAND ANALYSIS FOR STRATEGIC FOOD IN INDONESIA DURING ECONOMIC CRISIS AND ITS IMPLICATION ON FOOD CONSUMPTION AMONG HOUSEHOLDS WITH CHILDREN UNDER TWO YEARS

    Directory of Open Access Journals (Sweden)

    Anna Vipta Resti Mauludyani

    2014-08-01

    which  had  limited  income  to  purchase  food.  Improved  income  tended  to  increase  demand  of  strategic foods. Demand on protein sources were highly affected by income changes. Keywords: demand analysis, strategic food, food consumption, nutrient intake.

  13. LNG长输管道中间液化站流程分析%Analysis on Liquefaction Station Along Long-Distance LNG Pipeline

    Institute of Scientific and Technical Information of China (English)

    李征帛; 陈保东; 刘杰; 官学源; 莫海元; 张纯静; 杜义朋

    2012-01-01

    由于石油、煤炭等化石燃料的不断减少,加之环境污染和温室效应等问题的不断加剧,天然气作为一种高效、清洁的能源,日益受到世界各国的重视与青睐.天然气的液化及储存,是开发及利用天然气的关键技术.最新的理论研究表明,建设长距离液化天然气(LNG)输送管道技术上是可行的,经济上也是合理的.但是,对LNG长输管道中间液化站进行的研究还很少,液化站的流程及相关设备的选取问题还没有得到解决.通过对逆向卡诺循环进行的分析,结合丙烷、乙烯、甲烷等制冷剂的制冷特性,提出了LNG长输管道中间液化站的液化流程及所选取的相关设备.%As the declining of oil. coal and other fossil fuel, and the rising of environmental pollution and greenhouse's effect, natural gas, as a kind of high efficient and clean energy, has been given a great attention and favour by the countries all over the world. Natural gas liquefaction and storage technology is key to its use and development. The latest theory research shows that the construction of long distance LNG pipeline is feasible in technology and reasonable in the economy. However the researches of the liquefaction station of long distance LNG pipeline are few. The liquefaction process of the liquefaction station along the long distance LNG pipelines was discussed. Through the analysis on the reverse Carnot cycle, combined with cooling characteristics of refrigerant such as propane, ethylene, methane, liquefaction process of liquefaction station along longdistance LNG pipeline was proposed and related equipments were selected.

  14. Digital compositing in the VFX pipeline

    OpenAIRE

    Ostasheva, Alexandra

    2015-01-01

    The purpose of this thesis is to explore a specific area of visual effects production - Digital Compositing. The work explains the origin of this craft and clarifies reasons for its demand in the field. The theoretical section explains the role of Digital Compositing in the VFX pipeline, as well as introduces a reader to the major compositing operations, which digital artists in the field have to be able to perform. Among those are compositing CGI materials into live-action plates, rotosc...

  15. The life of hydrotransport pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Turchaninov, S.P.

    1973-01-01

    This book summarizes information on the hydroabrasive wear of pressurized pipes transporting bulk solid materials, such as coal. An analysis is presented of the operation of pipelines, and measures are recommended for their effective use. Methods of laboratory and production studies of hydroabrasive wear of pipes are described. The regularities of hydroabrasive wear of pipes are systematized as functions of the hydraulic characteristics of transportation and other operational factors. Methods are studied for increasing the durability of pipelines, and recommendations are given for determination of their throughput capacity through their entire service life. The book is designed for engineering and technical workers, planning-design and scientific research organizations, and may also be useful to university students. (87 refs.)

  16. Conflitos ambientais: uma análise da assimetria de poder entre os atores sociais envolvidos no caso do Mineroduto da Ferrous / Environmental conflict: an analysis of power asymmetry between social actors involved in the case of Ferrous Pipeline

    Directory of Open Access Journals (Sweden)

    Dayane Rouse Neves Sousa

    2015-12-01

    Full Text Available This work intends to present the environmental conflict initiated due to the installation of pipeline Ferrous Ressources S / A, in the micro region of Viçosa-MG, building an analysis of the positioning of the main social actors involved, as well as their respective relations of power. Thepipeline of Ferrous will connect the complex Beam Mine in Congonhas-MG, the port of Ferrous Ressources in Presidente Kennedy-ES in order to export iron ore. To do so, were used as methodological procedures: bibliographical research; document analysis; semi-structured interviews with different actors; and follow-up meetings of the Popular Campaign Against the Water and Pipeline Ferrous, public hearings and demonstrations taken place in the Viçosa. Furthermore, there was monitoring of the pipeline discussion in local newspapers and on blogs. Thus, this study demonstrated that the Ferrous company, which owns high economic and symbolic power, assumes the role of dominating the conflict. On the other hand, those affected and social movements against the construction of the project, are sometimes in the role of dominated, leaving them to articulate strategies of resistance to delay / stop the construction of the pipeline. The state, in turn, assumes different roles in this context, demonstrating thereby weakness in mediation and conflict management established by pipeline Ferrous mainly in the micro region of Viçosa-MG.

  17. A pipeline VLSI design of fast singular value decomposition processor for real-time EEG system based on on-line recursive independent component analysis.

    Science.gov (United States)

    Huang, Kuan-Ju; Shih, Wei-Yeh; Chang, Jui Chung; Feng, Chih Wei; Fang, Wai-Chi

    2013-01-01

    This paper presents a pipeline VLSI design of fast singular value decomposition (SVD) processor for real-time electroencephalography (EEG) system based on on-line recursive independent component analysis (ORICA). Since SVD is used frequently in computations of the real-time EEG system, a low-latency and high-accuracy SVD processor is essential. During the EEG system process, the proposed SVD processor aims to solve the diagonal, inverse and inverse square root matrices of the target matrices in real time. Generally, SVD requires a huge amount of computation in hardware implementation. Therefore, this work proposes a novel design concept for data flow updating to assist the pipeline VLSI implementation. The SVD processor can greatly improve the feasibility of real-time EEG system applications such as brain computer interfaces (BCIs). The proposed architecture is implemented using TSMC 90 nm CMOS technology. The sample rate of EEG raw data adopts 128 Hz. The core size of the SVD processor is 580×580 um(2), and the speed of operation frequency is 20MHz. It consumes 0.774mW of power during the 8-channel EEG system per execution time.

  18. 11位高性能流水线ADC关键电路的分析%11 key circuit of high performance pipelined ADC analysis

    Institute of Scientific and Technical Information of China (English)

    王嘉炜; 孙佳晶; 徐劼; 张力; 李豹

    2013-01-01

    ADC conversion of the bridge as the analog signal transition to digital signal, has a very important significance. With the rapid development of the wireless communication technology, high precision, high speed ADC to further enhance the performance of the communication system plays a more and more important role. This paper combines the pipelined ADC working principle, research and Analysis on 11 bit high performance pipelined ADC critical current.%近些年,ADC作为模拟信号向数字信号过渡转换的桥梁,有着十分重要意义。而且随着当前无线通信技术的迅速发展,高精度、高速的ADC对于进一步提升通信系统性能也发挥着越来越重要作用。一般来讲,11位流水线ADC能同时兼顾精度与速度,因此可以获得广泛应用于推广。本文主要结合流水线ADC工作原理,对11位高性能流水线ADC关键电流进行研究与分析。

  19. Meta-Analysis of Income and Price Elasticities Energy Demand: Some Public Policy Implications for Latin America

    Directory of Open Access Journals (Sweden)

    Luis Miguel Galindo

    2015-08-01

    Full Text Available The aim of this paper is to analyze the variation in empirical estimates of the income and price elasticities of energy demand. The evidence presented, through a meta-analysis, allows identification of the weighted average of the income and price elasticities, shows that the estimates are very heterogeneous, that there is publication bias, and that factors such as region, energy sector, among others, affect its volatility. The evidence also indicates that income elasticity in Latin America is greater than in the OECD countries, and that the price elasticity of energy demand is lower in Latin America than in the OECD countries. Therefore, continued economic growth in Latin America will be accompanied by a growth in energy demand. Moreover, the establishment of a tax in Latin America, under the current elasticities, is less effective and will be insufficient to control the increase in energy consumption.

  20. New Zealand's neurologist workforce: a pragmatic analysis of demand, supply and future projections.

    Science.gov (United States)

    Ranta, Annemarei Anna; Tiwari, Priyesh; Mottershead, John; Abernethy, David; Simpson, Mark; Brickell, Kiri; Lynch, Christopher; Walker, Elizabeth; Frith, Richard

    2015-08-07

    To estimate current and future specialist neurologist demand and supply to assist with health sector planning. Current demand for the neurology workforce in New Zealand was assessed using neuroepidemiological data. To assess current supply, all New Zealand neurology departments were surveyed to determine current workforce and estimate average neurologist productivity. Projections were made based on current neurologists anticipated retirement rates and addition of new neurologists based on current training positions. We explored several models to address the supply-demand gap. The current supply of neurologists in New Zealand is 36 full-time equivalents (FTE), insufficient to meet current demand of 74 FTE. Demand will grow over time and if status quo is maintained the gap will widen. Pressures on healthcare dollars are ever increasing and we cannot expect to address the identified service gap by immediately doubling the number of neurologists. Instead we propose a 12-year strategic approach with investments to enhance service productivity, strengthen collaborative efforts between specialists and general service providers, moderately increase the number of neurologists and neurology training positions, and develop highly skilled non-specialists including trained.

  1. Permanent demand excess as business strategy: an analysis of the Brazilian higher-education market

    Directory of Open Access Journals (Sweden)

    Rodrigo Menon Simões Moita

    2015-03-01

    Full Text Available Many Higher Education Institutions (HEIs establish tuition below the equilibrium price to generate permanent demand excess. This paper first adapts Becker’s (1991 theory to understand why the HEIs price in this way. The fact that students are both consumers and inputs on the education production process gives rise to a market equilibrium where some firms have excess demand and charge high prices, and others charge low prices and have empty seats.Second, the paper analyzes this equilibrium empirically. We estimated the demand for undergraduate courses in Business Administration in the State of São Paulo. The results show that tuition, quality of incoming students and percentage of lecturers holding doctorates degrees are the determining factors of students’ choice. Since the student quality determines the demand for a HEI, it is calculated what the value is for a HEI to get better students; that is the total revenue that each HEI gives up to guarantee excess demand. Regarding the “investment” in selectivity, 39 HEIs in São Paulo give up a combined R$ 5 million (or US$ 3.14 million in revenue per year per freshman class, which means 7.6% of the revenue coming from a freshman class.

  2. Stress analysis of the second out-pipeline in 130 000t/a ammonia synthesis system%13万t/a氨合成系统中二出管线的应力分析

    Institute of Scientific and Technical Information of China (English)

    杨明; 谭永新; 殷建玲; 季延军

    2014-01-01

    The paper introduces stress analysis of pipeline (the second out-pipeline)from ammonia synthesis tower to waste heat boiler in 130 000t/a ammonia synthesis system by using CAESARII software, optimizes piping design according to stress analysis results, eliminating high temperature high pressure pipeline operating risks.%介绍用CAESARⅡ软件对13万t/a氨合成系统中从氨合成塔至废热锅炉的管线(即二出管线)进行应力分析,并根据应力分析结果优化配管设计,消除高温高压管道的运行隐患。

  3. An analysis of the thickness influence in performance and structural integrity of gas pipelines; Um estudo sobre a influencia de rigidez de dutos no desempenho e na integridade de gasodutos

    Energy Technology Data Exchange (ETDEWEB)

    Pinto, Waldir T.; Pinto, Rosa Irene T. [Fundacao Universidade Federal do Rio Grande (FURG), RS (Brazil)

    2004-07-01

    This work presents an analysis on the influence of the changes on pipe rigidity on the safety of buried gas pipelines. The work consists of the adoption of a parameter defined by the ratio between the wall thickness and the diameter of the pipe to assess the pipeline structural performance under several loading conditions, such as internal pressure, external pressure, external loading, longitudinal analysis, and corrosion. Results for a 14 inches pipe with wall thicknesses of 5.6 mm, 7.1 mm, and 7.9 mm are presented for each one of the loading conditions. These results show that for most cases a small increase in the wall thickness leads to significant increase of the pipeline safety. This suggests that in many cases the adoption of wall thicker than them minimum thickness suggested by technical codes present a better cost/benefit relation. (author)

  4. Analysis of nitrogenous and algal oxygen demand in effluent from a system of aerated lagoons followed by polishing pond.

    Science.gov (United States)

    Khorsandi, Hassan; Alizadeh, Rahimeh; Tosinejad, Horiyeh; Porghaffar, Hadi

    2014-01-01

    In this descriptive-analytical study, nitrogenous and algal oxygen demand were assessed for effluent from a system of facultative partially mixed lagoons followed by the polishing pond using 120 grab samples over 1 year. Filtered and non-filtered samples of polishing pond effluent were tested in the presence and absence of a nitrification inhibitor. Effective factors, including 5-day biochemical and chemical oxygen demand (BOD and COD), total suspended solids (TSS), dissolved oxygen, chlorophyll A, and temperature, were measured using standard methods for water and wastewater tests. The results were analyzed using repeated measures analysis of variance with SPSS version 16. Findings show that the annual mean of the total 5-day BOD in the effluent from the polishing pond consisted of 44.92% as the algal carbonaceous biochemical oxygen demand (CBOD), 43.61% as the nitrogenous biochemical oxygen demand (NBOD), and 11.47% as the soluble CBOD. According to this study, the annual mean ratios of algal COD and 5-day algal CBOD to TSS were 0.8 and 0.37, respectively. As the results demonstrate, undertaking quality evaluation of the final effluent from the lagoons without considering nitrogenous and algal oxygen demand would undermine effluent quality assessment and interpretation of the performance of the wastewater treatment plant.

  5. An analysis of Emergency Medical Services demand: Time of day, day of the week, and location in the city.

    Science.gov (United States)

    Sariyer, Gorkem; Ataman, Mustafa Gokalp; Akay, Serhat; Sofuoglu, Turhan; Sofuoglu, Zeynep

    2017-06-01

    Effective planning of Emergency Medical Services (EMS), which is highly dependent on the analysis of past data trends, is important in reducing response time. Thus, we aimed to analyze demand for these services based on time and location trends to inform planning for an effective EMS. Data for this retrospective study were obtained from the Izmir EMS 112 system. All calls reaching these services during first six months of 2013 were descriptively analyzed, based on time and location trends as a heat-map form. The analyses showed that demand for EMS varied within different time periods of day, and according to day of the week. For the night period, demand was higher at the weekend compared to weekdays, whereas for daytime hours, demand was higher during the week. For weekdays, a statistically significant relation was observed between the call distribution of morning and evening periods. It was also observed that the percentage of demand changed according to location. Among 30 locations, the five most frequent destinations for ambulances, which are also correlated with high population densities, accounted for 55.66% of the total. The results of this study shed valuable light on the areas of call center planning and optimal ambulance locations of Izmir, which can also be served as an archetype for other cities.

  6. 液体火箭发动机管路热防护研究与瞬态仿真分析%The transient and thermal insulated analysis of the pipeline simulation of liquid rocket engine

    Institute of Scientific and Technical Information of China (English)

    戈庆明; 吴岩

    2013-01-01

    为了保证发动机正常工作,需要对管路进行保温设计。对管路热环境进行了仿真,利用ANSYS软件编写 APDL 程序,对一定厚度发泡层的空间管路进行了热分析,得到了管路的瞬态温度场。为了减小管路发泡层的厚度,采取在管路外侧利用电流加热;该改进方案在减少了管路重量的同时,也增加了管路的安装空间。该仿真分析为发动机管路的保温设计奠定了基础。%In order to ensure normal work of the engine, the thermal insulation of the engine is needed. The pipeline thermal environment was emulated by the design program which is written by APDL language of ANSYS, and the thermal analysis of spatial pipeline with the specific thickness foam layer was obtained, which gained the transient field of the pipeline. Furthermore, in order to reduce the thickness of the foam layer, the pipeline was heat up by electricity. This betterment not only reduced the weight of the pipeline, but also enlarged the fixing space of the pipeline. The results lay a foundation to the design of the pipeline thermal insulation.

  7. 机械完整性技术在海底管道事故分析中的应用研究%Study on application of mechanical integrity technology in analysis of submarine pipeline accidents

    Institute of Scientific and Technical Information of China (English)

    高安东

    2013-01-01

    Compared with those of onshore pipelines,the internal and external operating environments of submarine pipelines are difficult to inspect and seek evidence,making it difficult to carry out a quantitative analysis of the accidents.Besides,the difficulty in identifying the causal factors makes it hard to avoid the potential accidents after maintenance and repair.This paper proposes an analytical model of submarine pipeline integrity management,in combination with the characteristics of submarine pipeline and the requirements of pipeline integrity management.This paper also analyzes an actual leakage accident in submarine pipeline,and comes to a satisfactory conclusion.Finally,it summarizes the application of integrity technology in the investigation into submarine pipeline accidents,and looks into its future development.%相对陆地管道,海底管道运行的内外部环境不易勘察与取证,给事故定性带来很大难度,且由于难于识别致因要素,维抢修后隐患难以根治.文中总结了海底管道特点,结合管道完整性管理要求,建立了海底管道完整性管理分析模型,并对一起实际发生的海管泄漏事故进行了分析,取得了满意的结果.对完整性技术在海底管道事故调查中应用进行了总结和展望.

  8. Sensitivity Analysis and Uncertainty Characterization of Subnational Building Energy Demand in an Integrated Assessment Model

    Science.gov (United States)

    Scott, M. J.; Daly, D.; McJeon, H.; Zhou, Y.; Clarke, L.; Rice, J.; Whitney, P.; Kim, S.

    2012-12-01

    Residential and commercial buildings are a major source of energy consumption and carbon dioxide emissions in the United States, accounting for 41% of energy consumption and 40% of carbon emissions in 2011. Integrated assessment models (IAMs) historically have been used to estimate the impact of energy consumption on greenhouse gas emissions at the national and international level. Increasingly they are being asked to evaluate mitigation and adaptation policies that have a subnational dimension. In the United States, for example, building energy codes are adopted and enforced at the state and local level. Adoption of more efficient appliances and building equipment is sometimes directed or actively promoted by subnational governmental entities for mitigation or adaptation to climate change. The presentation reports on new example results from the Global Change Assessment Model (GCAM) IAM, one of a flexibly-coupled suite of models of human and earth system interactions known as the integrated Regional Earth System Model (iRESM) system. iRESM can evaluate subnational climate policy in the context of the important uncertainties represented by national policy and the earth system. We have added a 50-state detailed U.S. building energy demand capability to GCAM that is sensitive to national climate policy, technology, regional population and economic growth, and climate. We are currently using GCAM in a prototype stakeholder-driven uncertainty characterization process to evaluate regional climate mitigation and adaptation options in a 14-state pilot region in the U.S. upper Midwest. The stakeholder-driven decision process involves several steps, beginning with identifying policy alternatives and decision criteria based on stakeholder outreach, identifying relevant potential uncertainties, then performing sensitivity analysis, characterizing the key uncertainties from the sensitivity analysis, and propagating and quantifying their impact on the relevant decisions. In the

  9. Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report

    Energy Technology Data Exchange (ETDEWEB)

    Eto, J.H.; Moezzi, M.M.

    1993-12-01

    This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

  10. Natural Gas Liquid Pipelines

    Data.gov (United States)

    Department of Homeland Security — Natural gas interstate and intrastate pipelines in the United States. Based on a variety of sources with varying scales and levels of accuracy and therefore accuracy...

  11. BSEE_Pacific_Pipelines

    Data.gov (United States)

    Bureau of Ocean Energy Management, Department of the Interior — This data set contains the locations of oil and gas pipelines in the Bureau of Safety and Environmental Enforcement Pacific OCS Region

  12. Central oxygen pipeline failure

    African Journals Online (AJOL)

    Anaesthetic and critical care staff play a governing role in the comprehension of a ... complete central oxygen pipeline failure occurred throughout. Tygerberg Hospital. ..... emergency stations and at plant room emergency supply manifolds.

  13. Physicians' perception of demand-induced supply in the information age: a latent class model analysis.

    Science.gov (United States)

    Shih, Ya-Chen Tina; Tai-Seale, Ming

    2012-03-01

    This paper introduces a concept called 'demand-induced supply' that reflects the excess supply of services due to an increase in demand initiated by patients. We examine its association with the proportion of information-savvy patients in physicians' practice. Using data from a national representative physician survey, we apply latent class models to analyze this association. Our analyses categorize physicians into three 'types' according to the frequency with which they provided additional medical services at their patients' requests: frequent, occasional, and rare. The proportion of information-savvy patients is significantly and positively correlated with demand-induced supply for the frequent or occasional type, but not among physicians in the rare type. Efforts to contain healthcare costs through utilization control need to recognize the pattern of responses from physicians who treat an increasing number of information-savvy patients. Copyright © 2011 John Wiley & Sons, Ltd.

  14. Demand Analysis of Water Resources Based on Pulse Process of Complex System

    Directory of Open Access Journals (Sweden)

    Yuan Sun

    2013-04-01

    Full Text Available In this paper, we examine the demand for fresh water of China in 2025 from the complex system modeling perspective and we develop an efficient, economical and practical water strategy to meet the demand for fresh water in 2025.Different from previous research, this study focus on studying several factors that can influence the demand for fresh water, and their interplay within the complex large-scale system. We construct the Directed Graph Model and the Impulse Process Model to study the complex system in a qualitatively way. After that, on the basis of qualitative study, we study the whole system quantitatively by using the Leontief Inverse Matrix. And draw an effective, feasible, and cost-efficient water strategy, namely, adjusting the relation between seawater desalination and the water protection.

  15. The System of Demand Analysis for URAV Based on Offense and Defense

    Directory of Open Access Journals (Sweden)

    Guodong Jin

    2013-01-01

    Full Text Available Because of its advantage of zero casualties Unmanned Reconnaissance Aerial Vehicle (URAV plays an important role in battlefield monitoring and information acquiring, thus caught great attention of the world. URAV is developed fast in our country, yet no scientific assessment methods was ever given due to different fight needs of armed forces. Considering demand of the missile artillery about the martial information, the model of information requirement of combat force, reconnaissance ability of URAV, survivability of URAV, and task reliability of URAV were constructed respectively. Synthesizing mathematic models above, the model of developing demand was constructed about URAV equipment. It simulated and calculated some URAV equipment developing scales, and explores a way of settling the problem of URAV equipment developing demand.

  16. Demand modelling of passenger air travel: An analysis and extension. Volume 1: Background and summary

    Science.gov (United States)

    Jacobson, I. D.

    1978-01-01

    The framework for a model of travel demand which will be useful in predicting the total market for air travel between two cities is discussed. Variables to be used in determining the need for air transportation where none currently exists and the effect of changes in system characteristics on attracting latent demand are identified. Existing models are examined in order to provide insight into their strong points and shortcomings. Much of the existing behavioral research in travel demand is incorporated to allow the inclusion of non-economic factors, such as convenience. The model developed is characterized as a market segmentation model. This is a consequence of the strengths of disaggregation and its natural evolution to a usable aggregate formulation. The need for this approach both pedagogically and mathematically is discussed.

  17. Demand modelling of passenger air travel: An analysis and extension, volume 2

    Science.gov (United States)

    Jacobson, I. D.

    1978-01-01

    Previous intercity travel demand models in terms of their ability to predict air travel in a useful way and the need for disaggregation in the approach to demand modelling are evaluated. The viability of incorporating non-conventional factors (i.e. non-econometric, such as time and cost) in travel demand forecasting models are determined. The investigation of existing models is carried out in order to provide insight into their strong points and shortcomings. The model is characterized as a market segmentation model. This is a consequence of the strengths of disaggregation and its natural evolution to a usable aggregate formulation. The need for this approach both pedagogically and mathematically is discussed. In addition this volume contains two appendices which should prove useful to the non-specialist in the area.

  18. Analysis of cigarette demand in Argentina: the impact of price changes on consumption and government revenues.

    Science.gov (United States)

    Rodríguez-Iglesias, Germán; Schoj, Verónica; Chaloupka, Frank; Champagne, Beatriz; González-Rozada, Martín

    2017-01-01

    To estimate cigarette demand and to simulate a tax policy targeted to reduce tobacco consumption. Demand was estimated using a vector error correction model. Simulation exercises present the impact of a tax increase on consumption and revenues. Changes in real income and the real price of cigarettes affect the demand for cigarettes in Argentina. The long term price elasticity is 0.279 (a 10% increase in real prices reduces cigarette consumption by 2.79% per quarter) and the long term income elasticity is 0.411 (a 10% increase in real income raises consumption by 4.11% per quarter). Even in a conservative scenario, simulations show that increasing the price of cigarettes by 100% using excise taxes would maximize revenues and reduce cigarette consumption. There is sufficient room to increase taxes, reducing cigarette consumption, while still increasing tax revenues.

  19. Analysis of cigarette demand in Argentina: the impact of price changes on consumption and government revenues

    Directory of Open Access Journals (Sweden)

    German Rodríguez-Iglesias

    2017-01-01

    Full Text Available Objective. To estimate cigarette demand and to simulate a tax policy targeted to reduce tobacco consumption. Materials and methods. Demand was estimated using a vector error correction model. Simulation exercises present the impact of a tax increase on consumption and revenues. Results. Changes in real income and the real price of cigarettes affect the demand for cigarettes in Argentina. The long term price elasticity is 0.279 (a 10% increase in real prices reduces cigarette consumption by 2.79% per quarter and the long term income elasticity is 0.411 (a 10% increase in real income raises consumption by 4.11% per quarter. Even in a conservative scenario, imulations show that increasing the price of cigarettes by 100% using excise taxes would maximize revenues and reduce cigarette consumption. Conclusion. There is sufficient room to increase taxes, reducing cigarette consumption, while still increasing tax revenues.

  20. Oil demand and price elasticity of energy consumption in the GCC countries: A panel cointegration analysis

    Directory of Open Access Journals (Sweden)

    Md Qaiser Alam

    2016-07-01

    Full Text Available This paper examines the cointegrating relationship between oil demand and price elasticity of energy consumption in the Gulf Co-operation Council (GCC countries during the period 1980-2010. The paper has applied the recently developed panel cointegration techniques, Dynamic Ordinary Least Squares (DOLS and panel DOLS in a panel of GCC countries. The region is being recognized as the major region of oil production and export in the global economy. In recent times, the region is emerging as a fastest growing oil consuming region globally. This fast increase in the level of oil consumption in the major oil exporting countries raises the energy security implications in the sphere of the growing oil demand in the world economy. This is likely to bring many pitfalls in the form of price distortions and reduced growth rates in and outside the oil export region. The empirical finding reveals a cointegrating relationship among the variables and indicates an income elastic and price inelastic demand for oil in the long-run in the GCC countries. The outcomes of income elastic and price inelastic demand for oil are also consistent in the short-run. The income and price inelastic demand for oil though exists for a full panel of countries but vary across the GCC countries. The result of the Granger Causality test also depicts a unidirectional causality running from income to oil consumption and bidirectional causality running between oil prices and income in the GCC countries. Moreover, the outcomes reveal that demand for oil varies positively with the growth of income and negatively with the price level in the economy.

  1. Nearshore Pipeline Installation Methods.

    Science.gov (United States)

    1981-08-01

    179. 5. Aldridge, R. G., and Bomba , J. G., "Deep Water Pipelines - Interdependence of Design and Construction", ASCE Paper. 6. American Society Civil...October 13, 1967. 24. Bomba , J. G. and Seeds, K. J., "Pipelining in 600 feet of water .... A Case Study of Washington Natural Gas Company’s Puget Sound...Crossing", Offshore Technology Conference, paper OTC 1188, 1970. 25. Bomba , J., "Submarine Pipe Construction Methods", Petroleum Engineer, Vol. 32

  2. Spatial–Temporal Analysis of the Heat and Electricity Demand of the Swiss Building Stock

    Directory of Open Access Journals (Sweden)

    Stefan Schneider

    2017-08-01

    Full Text Available In 2015, space heating and domestic hot water production accounted for around 40% of the Swiss final energy consumption. Reaching the goals of the 2050 energy strategy will require significantly reducing this share despite the growing building stock. Renewables are numerous but subject to spatial–temporal constraints. Territorial planning of energy distribution systems enabling the integration of renewables requires having a spatial–temporal characterization of the energy demand. This paper presents two bottom-up statistical extrapolation models for the estimation of the geo-dependent heat and electricity demand of the Swiss building stock. The heat demand is estimated by means of a statistical bottom-up model applied at the building level. At the municipality level, the electricity load curve is estimated by combining socio-economic indicators with average consumption per activity and/or electric device. This approach also allows to break down the estimated electricity demand according to activity type (e.g., households, various industry, and service activities and appliance type (e.g., lighting, motor force, fridges. The total estimated aggregated demand is 94 TWh for heat and 58 TWh for electricity, which represent a deviation of 2.9 and 0.5%, respectively compared to the national energy consumption statistics. In addition, comparisons between estimated and measured electric load curves are done to validate the proposed approach. Finally, these models are used to build a geo-referred database of heat and electricity demand for the entire Swiss territory. As an application of the heat demand model, a realistic saving potential is estimated for the existing building stock; this potential could be achieved through by a deep retrofit program. One advantage of the statistical bottom-up model approach is that it allows to simulate a building stock that replicates the diversity of building demand. This point is important in order to

  3. 2008-2010 Research Summary: Analysis of Demand Response Opportunities in California Industry

    Energy Technology Data Exchange (ETDEWEB)

    Goli, Sasank [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Olsen, Daniel [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); McKane, Aimee [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Piette, Mary Ann [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2011-08-01

    This report describes the work of the Industrial Demand Response (DR) Team of Lawrence Berkeley National Laboratory’s Demand Response Research Center (DRRC) from 2008-2010, in the context of its mandate to conduct and disseminate research that broadens the knowledge base of DR strategies, with a focus on the Industrial-Agricultural-Water (IAW) sector. Through research and case studies of industrial sectors and entities, the DRRC-IAW Team continued to assimilate knowledge on the feasibility of industrial DR strategies with an emphasis on technical and economic evaluation and worked to encourage implementation of these strategies.

  4. Remote monitoring of pipeline operations

    Energy Technology Data Exchange (ETDEWEB)

    Bost, R.C. [ERM-Southwest, Inc., Houston, TX (United States); White, D. [Glenrose Systems, Austin, TX (United States)

    1995-12-31

    The demands for monitoring of pipeline operations have recently increased greatly due to new regulatory requirements. Most companies rely upon conventional System Control and Data Acquisition (SCADA) system architecture to meet their needs. Current systems are often plagued by limited data conversion and processing capacity at the workstations. A state-of-the-art Data Acquisition Node (DAN) that relieves the workstation of much of its workload is described in this paper. Use of this DAN may eliminate the need for installing completely new systems. It facilitates marrying foreign devices to existing operation monitoring systems to satisfy new regulatory requirements. The DAN allows a system to utilize commercial communications satellites or other communication networks and real-time, object oriented programming and different devices and data requirements without the necessity of custom software development.

  5. Electricity demand and the structure in Japan. Examination using time series analysis; Nippon denryoku juyo no suii to sono kozo. Jikeiretsu bunseki ni yoru kento

    Energy Technology Data Exchange (ETDEWEB)

    Kato, H. [Central Research Institute of Electric Power Industry, Tokyo (Japan)

    1996-12-25

    Stable supply of power was studied by applying the time-series analytical technique to the analysis of domestic power demand time series shift and power demand structure. Unit root tests were performed for four series of demands for power, that is, the great demand, business demand, small demand, and lighting demand. Then, the null hypothesis advocating the presence of unit roots in them could not be rejected but, on the other hand, the null hypotheses was discarded in some tests advocating their steady presence. Furthermore, a power demand function was derived and the relationship of power demand with the cointegration component as the income and price factor was examined, when it was found that the power demand function itself gives a long-range, stable relationship. Utilizing this conclusion, an error correction model and vector autoregression model were induced. It was then shown that a short-range disequilibrium in the long-range stable relationship is corrected approximately in 2 years in the case of the great demand, and approximately in 9 months in the case of the lighting demand. Again, a conclusion was reached that the price factor did not involve any causality in the case of the lighting demand. 14 refs., 4 figs., 9 tabs.

  6. An introduction to USITC enterprise analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ostic, J.K.

    1997-10-01

    The United States Integrated Textile Complex (USITC) consists of fiber, textile, apparel, and retail firms who manufacture and distribute natural and synthetic fiber products. In today`s competitive global economy, USITC companies who team together to form supply chains require relationships which promote responsiveness to consumer demand, encourage business partnerships, and make effective use of resources. These supply chains, or pipelines, are being analyzed to improve time and cost performance. Enterprise analysis is the application of analysis methods and simulation tools to predict integrated performance of these pipelines. Through the use of scenario analysis, various alternatives in pipeline coordination and configuration can be assessed. Simply put, the end result is to design the pipeline so that the product the customer demands is delivered, in the right place, at the right time. In September 1996, industrial participants of the Demand Activated Manufacturing Architecture (DAMA) project completed the Phase 1 pipeline analysis study. The analysis identified opportunities to improve productivity and efficiency among five supply chain members, and proposed a generic modeling architecture and methodology that, if implemented, would identify actions necessary to improve supply-chain coordination among its members. The architecture and methodology are being pursued during the Phase 2 analysis, which is scheduled to be completed by the end of FY 1997. The goal of the Phase 2 analysis is to propose actionable recommendations to supply-chain members leading to a reduction of pipeline lead-time by 50%.

  7. Pipeline coating comparison methods for northern pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Singh, P. [Shaw Pipe Protection, Calgary, AB (Canada); Purves, G.A. [Cimarron Engineering Ltd., Calgary, AB (Canada)

    2004-07-01

    Two high-quality pipe coatings designed for northern environments were compared for their relative costs and suitability for the conditions that will be encountered in the field. Coating selection should consider local conditions to achieve the optimum life-cycle costs for the system. Some of the key factors affecting the integrity of the protective coating on a pipe include the effects of cold temperature and soil types. In this study, both Fusion Bonded Epoxy (FBE) and High Performance Composite Coatings (HPCC) were evaluated for an entire pipeline installation in a northern environment, from the coating plant to the pipe trench. The evaluation focused on the advantages of better abrasion resistance of the HPCC coating. This was compared against the incremental cost of HPCC coating over FBE on large diameter NPS 30 to NPS 48 pipelines. The following parameters influenced the choice of coating: storage, transportation and handling; bending ability under cold weather conditions; pipe installation and backfilling; weld joint coatings; coating repair and cathodic protection and pipeline integrity. Some of the construction costs that are indirectly affected by the choice of pipe coating include right-of-way preparation and restoration; trenching; supervision, service and downtime and specialist crossings. It was concluded that HPCC has better resistance to abrasion than FBE and is more flexible in extremely cold temperatures. Standard FBE is about 10 per cent less expensive than HPCC. In general HPCC will require less coating protection than FBE, depending on site conditions. 3 refs., 18 tabs., 8 figs.

  8. Age-related outcomes following intracranial aneurysm treatment with the Pipeline Embolization Device: a subgroup analysis of the IntrePED registry.

    Science.gov (United States)

    Brinjikji, Waleed; Kallmes, David F; Cloft, Harry J; Lanzino, Giuseppe

    2016-06-01

    OBJECT The association between age and outcomes following aneurysm treatment with flow diverters such as the Pipeline Embolization Device (PED) have not been well established. Using the International Retrospective Study of the Pipeline Embolization Device (IntrePED) registry, the authors assessed the age-related clinical outcomes of patients undergoing aneurysm embolization with the PED. METHODS Patients with unruptured aneurysms in the IntrePED registry were divided into 4 age groups: ≤ 50, 51-60, 61-70, and > 70 years old. The rates of the following postoperative complications were compared between age groups using chi-square tests: spontaneous rupture, intracranial hemorrhage (ICH), ischemic stroke, parent artery stenosis, cranial neuropathy, neurological morbidity, neurological mortality, combined neurological morbidity and mortality, and all-cause mortality. The association between age and these complications was tested in a multivariate logistic regression analysis adjusted for sex, number of PEDs, and aneurysm size, location, and type. RESULTS Seven hundred eleven patients with 820 unruptured aneurysms were included in this study. Univariate analysis demonstrated no significant difference in ICH rates across age groups (lowest 1.0% for patients ≤ 50 years old and highest 5.0% for patients > 70 years old, p = 0.097). There was no difference in ischemic stroke rates (lowest 3.6% for patients ≤ 50 years old and highest 6.0% for patients 50-60 years old, p = 0.73). Age > 70 years old was associated with higher rates of neurological mortality; patients > 70 years old had neurological mortality rates of 7.4% compared with 3.3% for patients 61-70 years old, 2.7% for patients 51-60 years old, and 0.5% for patients ≤ 50 years old (p = 0.006). On multivariate logistic regression analysis, increasing age was associated with higher odds of combined neurological morbidity and mortality (odds ratio 1.02, 95% confidence interval 1.00-1.05; p = 0.03). CONCLUSIONS

  9. A Dynamic, Multivariate Sustainability Measure for Robust Analysis of Water Management under Climate and Demand Uncertainty in an Arid Environment

    Directory of Open Access Journals (Sweden)

    Christian Hunter

    2015-10-01

    Full Text Available Considering water resource scarcity and uncertainty in climate and demand futures, decision-makers require techniques for sustainability analysis in resource management. Through unclear definitions of “sustainability”, however, traditional indices for resource evaluation propose options of limited flexibility by adopting static climate and demand scenarios, limiting analysis variables to a particular water-use group and time. This work proposes a robust, multivariate, dynamic sustainability evaluation technique and corresponding performance indicator called Measure of Sustainability (MoS for resource management that is more adapted to withstand future parameter variation. The range of potential future climate and demand scenarios is simulated through a calibrated hydrological model of Copiapó, Chile, a case study example of an arid watershed under extreme natural and anthropogenic water stresses. Comparing MoS and cost rankings of proposed water management schemes, this paper determines that the traditional evaluation method not only underestimates future water deficits, but also espouses solutions without considering uncertainties in supply and demand. Given the uncertainty of the future and the dependence of resources upon climate and market trajectories, the MoS methodology proposes solutions that, while perhaps are not the most optimal, are robust to variations in future parameter values and are thus the best water management options in a stochastic natural world.

  10. Job demands and job strain as risk factors for employee wellbeing in elderly care: an instrumental-variables analysis.

    Science.gov (United States)

    Elovainio, Marko; Heponiemi, Tarja; Kuusio, Hannamaria; Jokela, Markus; Aalto, Anna-Mari; Pekkarinen, Laura; Noro, Anja; Finne-Soveri, Harriet; Kivimäki, Mika; Sinervo, Timo

    2015-02-01

    The association between psychosocial work environment and employee wellbeing has repeatedly been shown. However, as environmental evaluations have typically been self-reported, the observed associations may be attributable to reporting bias. Applying instrumental-variable regression, we used staffing level (the ratio of staff to residents) as an unconfounded instrument for self-reported job demands and job strain to predict various indicators of wellbeing (perceived stress, psychological distress and sleeping problems) among 1525 registered nurses, practical nurses and nursing assistants working in elderly care wards. In ordinary regression, higher self-reported job demands and job strain were associated with increased risk of perceived stress, psychological distress and sleeping problems. The effect estimates for the associations of these psychosocial factors with perceived stress and psychological distress were greater, but less precisely estimated, in an instrumental-variables analysis which took into account only the variation in self-reported job demands and job strain that was explained by staffing level. No association between psychosocial factors and sleeping problems was observed with the instrumental-variable analysis. These results support a causal interpretation of high self-reported job demands and job strain being risk factors for employee wellbeing. © The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  11. Astronomical pipeline processing using fuzzy logic

    Science.gov (United States)

    Shamir, Lior

    In the past few years, pipelines providing astronomical data have been becoming increasingly important. The wide use of robotic telescopes has provided significant discoveries, and sky survey projects such as SDSS and the future LSST are now considered among the premier projects in the field astronomy. The huge amount of data produced by these pipelines raises the need for automatic processing. Astronomical pipelines introduce several well-defined problems such as astronomical image compression, cosmic-ray hit rejection, transient detection, meteor triangulation and association of point sources with their corresponding known stellar objects. We developed and applied soft computing algorithms that provide new or improved solutions to these growing problems in the field of pipeline processing of astronomical data. One new approach that we use is fuzzy logic-based algorithms, which enables the automatic analysis of the astronomical pipelines and allows mining the data for not-yet-known astronomical discoveries such as optical transients and variable stars. The developed algorithms have been tested with excellent results on the NightSkyLive sky survey, which provides a pipeline of 150 astronomical pictures per hour, and covers almost the entire global night sky.

  12. Biological oxygen demand optode analysis of coral reef-associated microbial communities exposed to algal exudates

    NARCIS (Netherlands)

    Gregg, A.K.; Hatay, M.; Haas, A.F.; Robinett, N.L.; Barott, K.; Vermeij, M.J.A.; Marhaver, K.; Thompson, F.; Meirelles, P.; Rohwer, F.

    2013-01-01

    Algae-derived dissolved organic matter has been hypothesized to induce mortality of reef building corals. One proposed killing mechanism is a zone of hypoxia created by rapidly growing microbes. To investigate this hypothesis, biological oxygen demand (BOD) optodes were used to quantify the change

  13. Biological oxygen demand optode analysis of coral reef-associated microbial communities exposed to algal exudates

    NARCIS (Netherlands)

    Gregg, A.K.; Hatay, M.; Haas, A.F.; Robinett, N.L.; Barott, K.; Vermeij, M.J.A.; Marhaver, K.; Thompson, F.; Meirelles, P.; Rohwer, F.

    2013-01-01

    Algae-derived dissolved organic matter has been hypothesized to induce mortality of reef building corals. One proposed killing mechanism is a zone of hypoxia created by rapidly growing microbes. To investigate this hypothesis, biological oxygen demand (BOD) optodes were used to quantify the change i

  14. Oil-Price Shocks: Beyond Standard Aggregate Demand/Aggregate Supply Analysis.

    Science.gov (United States)

    Elwood, S. Kirk

    2001-01-01

    Explores the problems of portraying oil-price shocks using the aggregate demand/aggregate supply model. Presents a simple modification of the model that differentiates between production and absorption of goods, which enables it to better reflect the effects of oil-price shocks on open economies. (RLH)

  15. Analysis on the Chinese Urban Sustainable Development Demands for the Management Plan of Intelligent Transportation Systems

    Institute of Scientific and Technical Information of China (English)

    赵历男

    2002-01-01

    This article analyzes the demands of the sustainable development and Chinese urban environmental protection for the management plan of intelligent transportation systems. The article also comments on how to work out the management plan of intelligent transportation systems with China's own characteristics.

  16. Do Job Demands Undermine Parenting? A Daily Analysis of Spillover and Crossover Effects

    Science.gov (United States)

    Bass, Brenda L.; Butler, Adam B.; Grzywacz, Joseph G.; Linney, Kirsten D.

    2009-01-01

    Using data collected over 14 consecutive days, we examined the impact of work hours and job demands on parent-child interactions for mothers and fathers in nonprofessional couples. Wives and husbands evaluated their interactions with their children similarly, such that changes in a spouse's evaluation of parent-child interactions typically matched…

  17. Influence of weather on traffic flow: An extensive stochastic multi-effect capacity and demand analysis

    NARCIS (Netherlands)

    Calvert, S.C.; Snelder, M.

    2016-01-01

    Traffic is affected by a wide range of variables. An influential and commonly occurring variable on traffic flow is the weather. Weather conditions affect both traffic demand as well as road capacity and in doing so also affect the traffic fluency, or rather the ability of traffic to maintain a cert

  18. Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management

    Science.gov (United States)

    Berardino, Jonathan

    In recent years there has been a push in the electric power industry for more customer involvement in the electricity markets. Traditionally the end user has played a passive role in the planning and operation of the power grid. However, many energy markets have begun opening up opportunities to consumers who wish to commit a certain amount of their electrical load under various demand side management programs. The potential benefits of more demand participation include reduced operating costs and new revenue opportunities for the consumer, as well as more reliable and secure operations for the utilities. The management of these load resources creates challenges and opportunities to the end user that were not present in previous market structures. This work examines the behavior of commercial-type building electrical loads and their capacity for supporting demand side management actions. This work is motivated by the need for accurate and dynamic tools to aid in the advancement of demand side operations. A dynamic load model is proposed for capturing the response of controllable building loads. Building-specific load forecasting techniques are developed, with particular focus paid to the integration of building management system (BMS) information. These approaches are tested using Drexel University building data. The application of building-specific load forecasts and dynamic load modeling to the optimal scheduling of multi-building systems in the energy market is proposed. Sources of potential load uncertainty are introduced in the proposed energy management problem formulation in order to investigate the impact on the resulting load schedule.

  19. Energy demand, substitution and environmental taxation: An econometric analysis of eight subsectors of the Danish economy

    DEFF Research Database (Denmark)

    Møller, Niels Framroze

    2017-01-01

    in a more environmental-friendly direction. For eight subsectors of the Danish economy, time series (1966–2011) are modeled by means of partial Cointegrated VARs. Long-run demand relations are identified for all subsectors and robust price elasticities are supported in five cases. The results are used...

  20. 基于弹性地基梁法的沉陷区埋地管道应力变形分析%Stress and Deformation Analysis of Buried Pipelines on Subsidence Area by Base Beam Method of Elastic Foundation

    Institute of Scientific and Technical Information of China (English)

    朱彦鹏; 赵忠忠

    2016-01-01

    The differential settlement of ground is one of the main reasons which causes pipeline damages. The research and analysis on buried pipelines under effect of settlement usually divide the pipeline crossing area into subsidence area and non-subsidence area.Deflection curve equation of deformation of pipelines in non-subsidence area can be simulated and deduced by using base beam model of elastic foundation.Pipeline deformation on subsidence area can be stimulated into cubic curve equation,and then concluded internal force and displacement equation of pipeline on subsidence area by using boundary conditions.The conclu-sions after combining living examples and analysis indicate that maximum stress of pipelines locates on the interface between subsidence area and non-subsidence area.Maximum stress of pipeline on subsidence area is jointly constituted by axial stress caused by pipeline internal pressure,bending stress and axial stress caused by effect of settlement.As pipeline of non-subsidence area mainly suffers axial stress caused by in-ternal pressure,the effect of internal pressure shall be taken into consideration.The principle influence fac-tors that affect pipeline deformation on subsidence area are settlement volume,width of subsidence area, pipeline diameter and burial depth,among which settlement volume and width of subsidence area have the biggest influence,and burial depth mainly affects axial stress of pipeline,which nearly has no influence on blending stress.%场地的不均匀沉降是导致管道破坏的主要原因之一.对沉陷作用下埋地管道进行研究分析,将管道跨越区分为沉陷区和非沉陷区,非沉陷区管道的变形可利用弹性地基梁模型模拟推导出其挠曲线方程,沉陷区管道变形可模拟成三次曲线方程,然后利用边界条件,求得沉陷区管道的内力和位移方程.最后通过实例分析表明:管道的最大应力位于沉陷区与非沉陷区交界面处,且沉陷区管道的最大应

  1. Supply and demand analysis of the current and future US neurology workforce.

    Science.gov (United States)

    Dall, Timothy M; Storm, Michael V; Chakrabarti, Ritashree; Drogan, Oksana; Keran, Christopher M; Donofrio, Peter D; Henderson, Victor W; Kaminski, Henry J; Stevens, James C; Vidic, Thomas R

    2013-07-30

    This study estimates current and projects future neurologist supply and demand under alternative scenarios nationally and by state from 2012 through 2025. A microsimulation supply model simulates likely career choices of individual neurologists, taking into account the number of new neurologists trained each year and changing demographics of the neurology workforce. A microsimulation demand model simulates utilization of neurology services for each individual in a representative sample of the population in each state and for the United States as a whole. Demand projections reflect increased prevalence of neurologic conditions associated with population growth and aging, and expanded coverage under health care reform. The estimated active supply of 16,366 neurologists in 2012 is projected to increase to 18,060 by 2025. Long wait times for patients to see a neurologist, difficulty hiring new neurologists, and large numbers of neurologists who do not accept new Medicaid patients are consistent with a current national shortfall of neurologists. Demand for neurologists is projected to increase from ∼18,180 in 2012 (11% shortfall) to 21,440 by 2025 (19% shortfall). This includes an increased demand of 520 full-time equivalent neurologists starting in 2014 from expanded medical insurance coverage associated with the Patient Protection and Affordable Care Act. In the absence of efforts to increase the number of neurology professionals and retain the existing workforce, current national and geographic shortfalls of neurologists are likely to worsen, exacerbating long wait times and reducing access to care for Medicaid beneficiaries. Current geographic differences in adequacy of supply likely will persist into the future.

  2. A Many-Objective Analysis of Supply and Demand Management Options for the Thames Basin

    Science.gov (United States)

    Huskova, I.; Matrosov, E.; Kasprzyk, J. R.; Harou, J. J.; Reed, P. M.

    2012-12-01

    In this study we link water basin simulation and many-objective evolutionary optimization to evaluate tradeoffs for the water stressed Thames water supply system in South East England which includes the city of London. We consider both infrastructure additions and demand management options to satisfy the future supply/demand balance, in order to develop management alternatives that can meet a range of fiscal and performance constraints under future supply and demand trajectories. The suite of new infrastructure options includes a new reservoir, water transfers, conjunctive use of groundwater, wastewater reuse and brackish groundwater desalination. Additionally, demand management options include leakage reduction, compulsory metering and the introduction of seasonal tariffs. Infrastructure options are evaluated using quantitative performance measures that minimize costs and energy use while maximizing engineering, social and environmental performance, subject to supply reliability constraints set by the local water utility and the Environment Agency regulator. Pareto approximate trade-off curves show the tradeoffs between engineering, cost, social and environmental performance measures. We use interactive visual analytics to show the performance of solutions across a broad range of performance measures and interrogate the impact of the infrastructure portfolios on the performance measures. Using an optimization—simulation framework enables the consideration of non-linear and rule-based phenomena, which are frequently useful or necessary to accurately describe how real water systems are managed. Results suggest that a diverse portfolio of supply-side and demand side options can aid water management in the UK. The Thames basin is modeled using a generalized computationally efficient open-source water resource simulator, Interactive River-Aquifer Simulation-2010 (IRAS-2010). The IRAS-2010 Thames system model is linked via a C++ wrapper to the Epsilon Dominance

  3. Analysis of rockfall impact on buried oil pipeline at Yangba%阳坝落石对输油管道的冲击分析

    Institute of Scientific and Technical Information of China (English)

    王东源; 赵宇; 王成华

    2013-01-01

    Lanzhou-Chengdu-Chongqing end product oil pipeline suffered serious rockfall disaster in the section of Kangxian County,Gansu Province.Yangba rockfall triggered in 2008 Wenchuan earthquake seriously damaged the pipeline and brought about enormous property loss.Based on the investigation of rockfalls,this study provided an analysis method and theoretical basis for the prevention of rockfall disasters.In this paper,five calculation methods of rock fall impact force commonly used at home and abroad were systematically compared and analyzed,and the most realistic algorithms were recommended.Through field investigation and laboratory experiments,the mechanical strength parameters of the soil were obtained.Then the experimental data and empirical data recommend in engineering geological manuals were compared,and the most suitable parameters were selected to calculate.The trench pipe vertical sold pressure calculation model proposed by Marston was used to analyze pipeline's stress and deformation.Results show that:first,the pipe strength and deformation are not enough to resist the intensive impact of falling rocks,which would cause the stress and deformation failure and pipeline damage; second,the method recommended by the Japanese Road Association is advised to calculate the maximum rock fall impact force in collapse zone; third,collapse hazard of the pipeline is likely to occur again in Kangxian County,and investigation of collapse hazard points in the region is necessary for take effective protection measures in advance.%兰成渝成品油管道在甘肃康县段遭受了严重的落石灾害,其中08年汶川地震触发的阳坝落石造成管道破坏和巨大经济损失.根据对阳坝落石现场的调查和管道遭受落石冲击的分析,为管道在康线段的减灾防灾提供理论依据和分析方法.系统对比分析了国内外普遍采用的5种落石冲击力算法,并推荐了最出符合实际的算法.通过现场取样和室内实验获取土

  4. Working group 3: upstream pipelines: inspection, corrosion and integrity management

    Energy Technology Data Exchange (ETDEWEB)

    Paez, Jorge; Stephenson, Mark [Talisman Energy, (Canada)

    2011-07-01

    The third topic investigated the latest challenges to upstream pipeline operation and the areas for improvement in upstream integrity in the pipeline industry. The first session of talks reported on the pipeline incident analysis conducted by the CAPP on several companies from 2006 to 2010 in order to identify best management practises and to drive improvement in pipeline integrity management. Reviews of primary failure statistics and failure frequency were conducted with respect to the various materials of pipes. A summary of changes to the CSA standard related to non-metallic pipes was also presented to complete this background overview of the upstream industry. The second session provided more information about these non-metallic pipes, focusing on construction and quality issues with large diameter HDPE pipelines. The third session discussed the ERW pipeline in relation to upstream industry. An integrity management panel discussion was carried out to close this third working group.

  5. Electric Demand Analysis of the Tunisian Network: Trends and Short Term Photovoltaic Implementation with Alternatives Prospects and Technologies

    Directory of Open Access Journals (Sweden)

    J. Bouattour

    2014-08-01

    Full Text Available The main objective of this study is to analyze the system of electric demand in Tunisia and to propose immediate alternative solution of photovoltaic implementation that can be suitable based on available natural solar energy resources in the country to respond to the short Forecast peak demand growth and energy consumptions taking into account financial strain. On the first step, analysis of the situation based on the recent historical data is proposed. In a second step, a solution is considered, based on photovoltaic implementation and using the results of historical data analysis. The resulting benefits are highlighted: financial, technical, environmental and social. Future studies may be made to use a mix of technology and policy as well: among it combining photovoltaic and battery storage, in parallel with energy efficiency programs.

  6. Analysis of historical series of industrial demand of energy; Analisi delle serie storiche dei consumi energetici dell`industria

    Energy Technology Data Exchange (ETDEWEB)

    Moauro, F. [ENEA, Centro Ricerche Casaccia, Rome (Italy). Dip. Energia

    1995-03-01

    This paper reports a short term analysis of the Italian demand for energy fonts and a check of a statistic model supposing the industrial demand for energy fonts as a function of prices and production, according to neoclassic neoclassic micro economic theory. To this pourpose monthly time series of industrial consumption of main energy fonts in 6 sectors, industrial production indexes in the same sectors and indexes of energy prices (coal, natural gas, oil products, electricity) have been used. The statistic methodology refers to modern analysis of time series and specifically to transfer function models. These ones permit rigorous identification and representation of the most important dynamic relations between dependent variables (production and prices), as relation of an input-output system. The results have shown an important positive correlation between energy consumption with prices. Furthermore, it has been shown the reliability of forecasts and their use as monthly energy indicators.

  7. Microstructures and Properties of X60 Grade Pipeline Strip Steel in CSP Plant

    Institute of Scientific and Technical Information of China (English)

    DONG Rui-feng; SUN Li-gang; LIU Zhe; WANG Xue-lian; LIU Qing-you

    2008-01-01

    The microstruetures and properties of X60 grade pipeline strip steel were researched. With Nb microallo ying and TMCP, the X60 grade pipeline strip steel was developed in the Baotou CSP Plant. The mechanical proper ties meet the demands on machining and using of pipeline manufacture. The X60 strip steels had been used extensively, which had fine and uniform structures, good performance and excellent toughness.

  8. Estimation of optimal capacity of the module through the demand analysis of refinery hydrogen

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Young-Seek; Kim, Ho-Jin; Kim, Il-Su [SK energy Institution of Technology, Daejeon (Korea, Republic of)] (and others)

    2006-02-15

    Hydrogen is focused as energy carrier, not an energy source on the rising of problems such as exhaustion of fossil fuel and environment pollution. Thermochemical hydrogen production by nuclear energy has potential to efficiently produce large quantities of hydrogen without producing greenhouse gases. The oil refiners and petro-chemical plant are very large, centralized producers and users of industrial hydrogen, and they a high-potential early market for hydrogen produced by nuclear energy. Therefore, hydrogen market of petro-chemical industry as demand site for nuclear hydrogen was investigated and worked for demand forecast of hydrogen in 2020. Also we suggested possible supply plans of nuclear hydrogen considered regional characteristics. The hydrogen production cost was analyzed and estimated for nuclear hydrogen as well as conventional hydrogen production such as natural gas reforming and coal gasification in various range.

  9. An Analysis of Decentralized Demand Response as Frequency Control Support under CriticalWind Power Oscillations

    Directory of Open Access Journals (Sweden)

    Jorge Villena

    2015-11-01

    Full Text Available In power systems with high wind energy penetration, the conjunction of wind power fluctuations and power system inertia reduction can lead to large frequency excursions, where the operating reserves of conventional power generation may be insufficient to restore the power balance. With the aim of evaluating the demand-side contribution to frequency control, a complete process to determine critical wind oscillations in power systems with high wind penetration is discussed and described in this paper. This process implies thousands of wind power series simulations, which have been carried out through a validated offshore wind farm model. A large number of different conditions have been taken into account, such as frequency dead bands, the percentages of controllable demand and seasonal factor influence on controllable loads. Relevant results and statistics are also included in the paper.

  10. Analysis and implementation of the Large Scale Video-on-Demand System

    CERN Document Server

    Kanrar, Soumen

    2012-01-01

    Next Generation Network (NGN) provides multimedia services over broadband based networks, which supports high definition TV (HDTV), and DVD quality video-on-demand content. The video services are thus seen as merging mainly three areas such as computing, communication, and broadcasting. It has numerous advantages and more exploration for the large-scale deployment of video-on-demand system is still needed. This is due to its economic and design constraints. It's need significant initial investments for full service provision. This paper presents different estimation for the different topologies and it require efficient planning for a VOD system network. The methodology investigates the network bandwidth requirements of a VOD system based on centralized servers, and distributed local proxies. Network traffic models are developed to evaluate the VOD system's operational bandwidth requirements for these two network architectures. This paper present an efficient estimation of the of the bandwidth requirement for ...

  11. The role of remittances in the stability of money demand in Pakistan: A cointegration analysis

    Directory of Open Access Journals (Sweden)

    Ghumro Niaz Hussain

    2017-01-01

    Full Text Available The paper examines the dynamic relationship between the series of monetary aggregates M1 and M2 for the period 1972-2014. M1 and M2 are the dependent variables, while the explanatory variables are real income, discount rate, inflation rate, real exchange rate, and remittances. The ARDL bounds testing approach to cointegration is used to investigate the existence of long-run and short-run effects of remittances on monetary aggregates. The results show that remittances exert only positive effects on real narrow money demand in the end, suggesting that in Pakistan remittances are used for the purpose of consumption. Both money demand functions are stable in Pakistan, but the longrun effect of M1 remittances is a faster speed of adjustment to equilibrium (26.2% than M2 remittances (21.3%. It is recommended that M1 be used as a monetary tool in Pakistan.

  12. DEMAND FOR OIL PRODUCTS IN OPEC COUNTRIES: A PANEL COINTEGRATION ANALYSIS

    Directory of Open Access Journals (Sweden)

    Nourah Al Yousef

    2013-01-01

    Full Text Available The increasing consumption of oil-refined products on OPEC countries will have its impact on the availability of oil exports. The goal of this paper is to examine the determinants of oil refined products’ consumption for a panel consisting of 7 OPEC countries, namely, Algeria, Kuwait, Libya, Qatar, Saudi Arabia, United Emirates and Iran for the period of 1980–2010, by employing the recently developed panel data unit root tests and panel data cointegration techniques. Furthermore, conditional on finding cointegration, the paper extends the literature by employing the Pedroni Panel Fully Modified Ordinary Least Squares (FMOLS Dynamic OLS (DOLS procedure to generate. The study estimates the demand for Gasoline, Kerosene and Diesel. An attempt is also made to assess the impact of this demand on the future availability of OPEC oil exports.

  13. Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance

    Energy Technology Data Exchange (ETDEWEB)

    University of California, Berkeley; Addy, Nathan; Kiliccote, Sila; Mathieu, Johanna; Callaway, Duncan S.

    2012-06-13

    Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect of different modeling implementation choices on shed predictions. We focused on five issues: weather data source, resolution of data, methods for determining when buildings are occupied, methods for aligning building data with temperature data, and methods for power outage filtering. Results indicate sensitivity to the weather data source and data filtration methods as well as an immediate potential for automation of methods to choose building occupied modes.

  14. Analysis of Neural-BOLD Coupling through Four Models of the Neural Metabolic Demand

    Directory of Open Access Journals (Sweden)

    Christopher W Tyler

    2015-12-01

    Full Text Available The coupling of the neuronal energetics to the blood-oxygen-level-dependent (BOLD response is still incompletely understood. To address this issue, we compared the fits of four plausible models of neurometabolic coupling dynamics to available data for simultaneous recordings of the local field potential (LFP and the local BOLD response recorded from monkey primary visual cortex over a wide range of stimulus durations. The four models of the metabolic demand driving the BOLD response were: direct coupling with the overall LFP; rectified coupling to the LFP; coupling with a slow adaptive component of the implied neural population response; and coupling with the non-adaptive intracellular input signal defined by the stimulus time course. Taking all stimulus durations into account, the results imply that the BOLD response is most closely coupled with metabolic demand derived from the intracellular input waveform, without significant influence from the adaptive transients and nonlinearities exhibited by the LFP waveform.

  15. Amateur Image Pipeline Processing using Python plus PyRAF

    Science.gov (United States)

    Green, Wayne

    2012-05-01

    A template pipeline spanning observing planning to publishing is offered as a basis for establishing a long term observing program. The data reduction pipeline encapsulates all policy and procedures, providing an accountable framework for data analysis and a teaching framework for IRAF. This paper introduces the technical details of a complete pipeline processing environment using Python, PyRAF and a few other languages. The pipeline encapsulates all processing decisions within an auditable framework. The framework quickly handles the heavy lifting of image processing. It also serves as an excellent teaching environment for astronomical data management and IRAF reduction decisions.

  16. Habit Formation in Natural Cheese Consumption An Approach Based on Dynamic Demand Analysis

    OpenAIRE

    WAKABAYASHI, Katsufumi

    2010-01-01

    In expectation of growing cheese consumption, natural cheese production is being increased to reduce surplus milk and create high added value in raw milk. Other studies found positive trends in cheese consumption. However, those studies neither clarified recent trends, nor distinguished natural cheese from processed cheese. The purpose of this paper is to discuss the structure of natural cheese consumption, focusing on habit formation. We test structural changes in cheese demand using dynamic...

  17. Habit Formation in Natural Cheese Consumption An Approach Based on Dynamic Demand Analysis

    OpenAIRE

    WAKABAYASHI, Katsufumi

    2010-01-01

    In expectation of growing cheese consumption, natural cheese production is being increased to reduce surplus milk and create high added value in raw milk. Other studies found positive trends in cheese consumption. However, those studies neither clarified recent trends, nor distinguished natural cheese from processed cheese. The purpose of this paper is to discuss the structure of natural cheese consumption, focusing on habit formation. We test structural changes in cheese demand using dynamic...

  18. An analysis of gasoline demand elasticities at the national and local levels in Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Crotte, Amado [Mexican Ministry of Communications and Transport, Mexico City (Mexico); Noland, Robert B. [Alan M. Voorhees Transportation Center, E. J. Bloustein School of Planning and Public Policy, Rutgers University, New Brunswick, NJ 08901 (United States); Graham, Daniel J. [Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, SW7 2AZ London (United Kingdom)

    2010-08-15

    The majority of evidence on gasoline demand elasticities is derived from models based on national data. Since the largest growth in population is now taking place in cities in the developing world it is important that we understand whether this national evidence is applicable to demand conditions at the local level. The aim of this paper is to estimate and compare gasoline per vehicle demand elasticities at the national and local levels in Mexico. National elasticities with respect to price, income, vehicle stock and metro fares are estimated using both a time series cointegration model and a panel GMM model for Mexican states. Estimates for Mexico City are derived by modifying national estimates according to mode shares as suggested by, and by estimating a panel Within Groups model with data aggregated by borough. Although all models agree on the sign of the elasticities the magnitudes differ greatly. Elasticities change over time and differ between the national and local levels, with smaller price responses in Mexico City. In general, price elasticities are smaller than those reported in the gasoline demand surveys, a pattern previously found in developing countries. The fact that income and vehicle stock elasticities increase over time may suggest that vehicles are being used more intensively in recent years and that Mexico City residents are purchasing larger vehicles. Elasticities with respect to metro fares are negligible, which suggests little substitution between modes. Finally, the fact that fuel efficiency elasticities are smaller than vehicle stock elasticities suggests that vehicle stock size, rather than its composition, has a larger impact on gasoline consumption in Mexico City. (author)

  19. ERROR ANALYSIS OF AN APPROXIMATE OPTIMAL POLICY FOR AN INVENTORY SYSTEM WITH STOCHASTIC AND CONTINUOUS DEMANDS

    OpenAIRE

    WEI GENG; JIANYONG LIU; XIAOBO ZHAO

    2012-01-01

    For a periodic-review inventory system with stochastic and continuous demands and without setup costs, it is known that there exists a base-stock policy to be optimal. For a finite-horizon system with non-stationary parameters, it is essential to find approximate optimal policies because of the computational intractability of finding the optimal policy. This paper provides an approach, by which an analytical bound of the error between the costs of the approximate optimal policy and the optima...

  20. Genome-Wide Transcriptional Profile Analysis of Prunus persica in Response to Low Sink Demand after Fruit Removal.

    Science.gov (United States)

    Duan, Wei; Xu, Hongguo; Liu, Guotian; Fan, Peige; Liang, Zhenchang; Li, Shaohua

    2016-01-01

    Prunus persica fruits were removed from 1-year-old shoots to analysis photosynthesis, chlorophyll fluorescence and genes changes in leaves to low sink demand caused by fruit removal (-fruit) during the final stage of rapid fruit growth. A decline in net photosynthesis rate was observed, accompanied with a decrease in stomatal conductance. The intercellular CO2 concentrations and leaf temperature increased as compared with a normal fruit load (+fruit). Moreover, low sink demand significantly inhibited the donor side and the reaction center of photosystem II. 382 genes in leaf with an absolute fold change ≥1 change in expression level, representing 116 up- and 266 down-regulated genes except for unknown transcripts. Among these, 25 genes for photosynthesis were down-regulated, 69 stress and 19 redox related genes up-regulated under the low sink demand. These studies revealed high leaf temperature may result in a decline of net photosynthesis rate through down-regulation in photosynthetic related genes and up-regulation in redox and stress related genes, especially heat shock proteins genes. The complex changes in genes at the transcriptional level under low sink demand provided useful starting points for in-depth analyses of source-sink relationship in P. persica.

  1. Physical game demands in elite rugby union: a global positioning system analysis and possible implications for rehabilitation.

    Science.gov (United States)

    Coughlan, Garrett F; Green, Brian S; Pook, Paul T; Toolan, Eoin; O'Connor, Sean P

    2011-08-01

    Descriptive. To evaluate the physical demands of an international Rugby Union-level game using a global positioning system (GPS). Elite Rugby Union teams currently employ the latest technology to monitor and evaluate physical demands of training and games on their players. GPS data from 2 players, a back and a forward, were collected during an international Rugby Union game. Locomotion speed, total body load, and body load sustained in tackles and scrums were analyzed. Players completed an average distance of 6715 m and spent the major portion of the game standing or walking, interspersed with medium- and high-intensity running activities. The back performed a higher number of high-intensity sprints and reached a greater maximal speed. Body load data revealed that high levels of gravitational force are sustained in tackling and scrum tasks. The current study provides a detailed GPS analysis of the physical demands of international Rugby Union players. These data, when combined with game video footage, may assist sports medicine professionals in understanding the demands of the game and mechanism of injury, as well as improving injury rehabilitation.

  2. Analysis of Cool Roof Coatings for Residential Demand Side Management in Tropical Australia

    Directory of Open Access Journals (Sweden)

    Wendy Miller

    2015-06-01

    Full Text Available Cool roof coatings have a beneficial impact on reducing the heat load of a range of building types, resulting in reduced cooling energy loads. This study seeks to understand the extent to which cool roof coatings could be used as a residential demand side management (DSM strategy for retrofitting existing housing in a constrained network area in tropical Australia where peak electrical demand is heavily influenced by residential cooling loads. In particular this study seeks to determine whether simulation software used for building regulation purposes can provide networks with the ‘impact certainty’ required by their DSM principles. The building simulation method is supported by a field experiment. Both numerical and experimental data confirm reductions in total consumption (kWh and energy demand (kW. The nature of the regulated simulation software, combined with the diverse nature of residential buildings and their patterns of occupancy, however, mean that simulated results cannot be extrapolated to quantify benefits to a broader distribution network. The study suggests that building data gained from regulatory simulations could be a useful guide for potential impacts of widespread application of cool roof coatings in this region. The practical realization of these positive impacts, however, would require changes to the current business model for the evaluation of DSM strategies. The study provides seven key recommendations that encourage distribution networks to think beyond their infrastructure boundaries, recognising that the broader energy system also includes buildings, appliances and people.

  3. The analysis of Taiwan's residential electricity demand under the electricity tariff policy

    Science.gov (United States)

    Chen, Po-Jui

    In October 2013, the Taiwan Power Company (Taipower), the monopolized state utility service in Taiwan, implemented an electricity tariff adjustment policy to reduce residential electricity demand. Using bi-monthly billing data from 6,932 electricity consumers, this study examine how consumers respond to an increase in electricity prices. This study employs an empirical approach that takes advantage of quasi-random variation over a period of time when household bills were affected by a change in electricity price. The study found that this price increase caused a 1.78% decline in residential electricity consumption, implying a price elasticity of -0.19 for summer-season months and -0.15 for non-summer-season months. The demand for electricity is therefore relatively inelastic, likely because it is hard for people to change their electricity consumption behavior in the short-term. The results of this study highlight that demand-side management cannot be the only lever used to address Taiwan's forecasted decrease in electricity supply.

  4. Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards

    Energy Technology Data Exchange (ETDEWEB)

    Ghatikar, Girish; Riess, David; Piette, Mary Ann

    2014-01-02

    This report reviews the Open Automated Demand Response (OpenADR) deployments within the territories serviced by California?s investor-owned utilities (IOUs) and the transition from the OpenADR 1.0 specification to the formal standard?OpenADR 2.0. As demand response service providers and customers start adopting OpenADR 2.0, it is necessary to ensure that the existing Automated Demand Response (AutoDR) infrastructure investment continues to be useful and takes advantage of the formal standard and its many benefits. This study focused on OpenADR deployments and systems used by the California IOUs and included a summary of the OpenADR deployment from the U.S. Department of Energy-funded demonstration conducted by the Sacramento Municipal Utility District (SMUD). Lawrence Berkeley National Laboratory collected and analyzed data about OpenADR 1.0 deployments, categorized architectures, developed a data model mapping to understand the technical compatibility of each version, and compared the capabilities and features of the two specifications. The findings, for the first time, provided evidence of the total enabled load shed and average first cost for system enablement in the IOU and SMUD service territories. The OpenADR 2.0a profile specification semantically supports AutoDR system architectures and data propagation with a testing and certification program that promotes interoperability, scaled deployments by multiple vendors, and provides additional features that support future services.

  5. 77 FR 2126 - Pipeline Safety: Implementation of the National Registry of Pipeline and Liquefied Natural Gas...

    Science.gov (United States)

    2012-01-13

    ... Registry of Pipeline and Liquefied Natural Gas Operators AGENCY: Pipeline and Hazardous Materials Safety... registry of pipeline and liquefied natural gas operators. FOR FURTHER INFORMATION CONTACT: Jamerson Pender... 72878), titled: ``Pipeline Safety: Updates to Pipeline and Liquefied Natural Gas Reporting...

  6. Pipeliners go regulator shopping

    Energy Technology Data Exchange (ETDEWEB)

    Byfield, M.

    1996-12-09

    The weakening of Alberta`s regulatory grip on gas pipelines was discussed. Palliser Pipeline Limited has challenged Nova Corp`s monopoly by applying to the National Energy Board (NEB) for permission to build a 150-mile pipeline from Calgary to the Saskatchewan border. If the $350 million project proceeds, it would mean that gas would be flowing out of Alberta for the first time through a line that is not operated by Nova Corp. Palliser would operate with a lower shipping toll, set by the NEB rather than Alberta`s Energy and Utilities Board. Alliance Pipeline Ltd. will also apply to the NEB to build a 1850-mile pipeline that would originate in British Columbia, cross Alberta and terminate in Chicago. Nova Corp has implied that it might have to consider charging distance-based tolls if the Palliser bypass line proceeds. However, Palliser countered that it should not be necessary to change the postage stamp system for that small a fraction. Palliser suggested that Nova was simply reacting because it was facing competition for the first time. Final decision is in the hands of the federal government.

  7. Protecting a pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Gray, D.H (Univ. of Michigan, Ann Arbor, MI (United States)); Garcia-Lopez, M. (Ingenieria y Geotecnia Ltda., Santafe de Bogota (Colombia))

    1994-12-01

    This article describes some of the difficulties in constructing an oil pipeline in Colombia across a forested mountain range that has erosion-prone slopes. Engineers are finding ways to protect the pipeline against slope failures and severe erosion problems while contending with threats of guerrilla attacks. Torrential rainfall, precipitous slopes, unstable soils, unfavorable geology and difficult access make construction of an oil pipeline in Colombia a formidable undertaking. Add the threat of guerrilla attacks, and the project takes on a new dimension. In the country's central uplands, a 76 cm pipeline traverses some of the most daunting and formidable terrain in the world. The right-of-way crosses rugged mountains with vertical elevations ranging from 300 m to 2,000 mm above sea level over a distance of some 30 km. The pipeline snakes up and down steep forested inclines in some spots and crosses streams and faults in others, carrying the country's major export--petroleum--from the Cusiana oil field, located in Colombia's lowland interior, to the coast.

  8. Demand Uncertainty

    DEFF Research Database (Denmark)

    Nguyen, Daniel Xuyen

    This paper presents a model of trade that explains why firms wait to export and why many exporters fail. Firms face uncertain demands that are only realized after the firm enters the destination. The model retools the timing of uncertainty resolution found in productivity heterogeneity models...... in untested destinations. The option to forecast demands causes firms to delay exporting in order to gather more information about foreign demand. Third, since uncertainty is resolved after entry, many firms enter a destination and then exit after learning that they cannot profit. This prediction reconciles...

  9. Pipelines. Economy's veins; Pipelines. Adern der Wirtschaft

    Energy Technology Data Exchange (ETDEWEB)

    Feizlmayr, Adolf; Goestl, Stefan [ILF Beratende Ingenieure, Muenchen (Germany)

    2011-02-15

    According to the existing prognoses more than 1 million km of gas pipelines, oil pipelines and water pipelines are built up to the year 2030. The predominant portion is from gas pipelines. The safe continued utilization of the aging pipelines is a large challenge. In addition, the diagnostic technology, the evaluation and risk assessment have to be developed further. With the design of new oil pipelines and gas pipelines, aspects of environmental protection, the energy efficiency of transport and thus the emission reduction of carbon dioxide, the public acceptance and the market strategy of the exporters gain in importance. With the offshore pipelines one soon will exceed the present border of 2,000 m depth of water and penetrate into larger sea depths.

  10. 77 FR 31827 - Pipeline Safety: Pipeline Damage Prevention Programs

    Science.gov (United States)

    2012-05-30

    ... Safety: Pipeline Damage Prevention Programs AGENCY: Pipeline and Hazardous Materials Safety... excavation damage prevention law enforcement programs; establish an administrative process for making... excavation damage prevention law enforcement programs; and establish the adjudication process...

  11. 带有水下结构物的海底管线S型铺设安装分析%S-lay Installation Analysis for Offshore Pipeline with Subsea Structure

    Institute of Scientific and Technical Information of China (English)

    魏会东; 魏巍

    2016-01-01

    Offshore pipeline is the key component for export of offshore oil and gas .For offshore pipeline with subsea structure installed by S-lay vessel ,the installation analysis was finished . Static analysis with multi-step method by general FEA software was adopted to get the final pipe-line posture by introducing a virtual rigid beam .The result shows that there is little effect for the pipeline laying process with subsea structure .Structural integrity of pipeline based on DNV OS F101—2010 Submarine Pipeline Systems and API RP1111—2009 Design ,Construction ,Opera-tion ,and Maintenance of Of fshore Hydrocarbon Pipelines (Limit State Design) codes is as-sessed .Compared with the displacement-control criteria ,unity of check (UC) value for pipeline on the stinger is bigger and UC value for other parts is smaller .Two codes give the similar UC values by adopting the displacement-control criteria .%对于采用S型铺管船方式安装的海底管线,对其带有水下结构物的安装工况进行了计算分析,采用通用有限元软件,引入虚拟的刚性梁,将水下结构物等效为梁单元,通过静态多步骤分析方法得到最终的铺设姿态,计算表明,水下结构物对于海底管线铺设状态的影响不大;分别采用DNV OS F101—2010《海底管线系统》和API RP1111—2009《海上油气管线设计、建造、操作和维护(极限状态设计)》规范对海底管线的结构完整性进行了评估.与位移控制准则相比,采用载荷控制准则的管线上弯段得到的结构校核系数值较大,其他管段结构校核系数值偏小.两种规范采用位移控制校核准则得到的结构校核系数值基本一致.

  12. Demand forecasting

    OpenAIRE

    Gregor, Belčec

    2011-01-01

    Companies operate in an increasingly challenging environment that requires them to continuously improve all areas of the business process. Demand forecasting is one area in manufacturing companies where we can hope to gain great advantages. Improvements in forecasting can result in cost savings throughout the supply chain, improve the reliability of information and the quality of the service for our customers. In the company Danfoss Trata, d. o. o. we did not have a system for demand forecast...

  13. CPL: Common Pipeline Library

    Science.gov (United States)

    ESO CPL Development Team

    2014-02-01

    The Common Pipeline Library (CPL) is a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit to create automated astronomical data reduction pipelines. Though initially developed as a standardized way to build VLT instrument pipelines, the CPL may be more generally applied to any similar application. The code also provides a variety of general purpose image- and signal-processing functions, making it an excellent framework for the creation of more generic data handling packages. The CPL handles low-level data types (images, tables, matrices, strings, property lists, etc.) and medium-level data access methods (a simple data abstraction layer for FITS files). It also provides table organization and manipulation, keyword/value handling and management, and support for dynamic loading of recipe modules using programs such as EsoRex (ascl:1504.003).

  14. Pipeline rehabilitation planning

    Energy Technology Data Exchange (ETDEWEB)

    Palmer-Jones, Roland; Hopkins, Phil; Eyre, David [PENSPEN (United Kingdom)

    2005-07-01

    An operator faced with an onshore pipeline that has extensive damage must consider the need for rehabilitation, the sort of rehabilitation to be used, and the rehabilitation schedule. This paper will consider pipeline rehabilitation based on the authors' experiences from recent projects, and recommend a simple strategy for planning pipeline rehabilitation. It will also consider rehabilitation options: external re-coating; internal lining; internal painting; programmed repairs. The main focus will be external re-coating. Consideration will be given to rehabilitation coating types, including tape wraps, epoxy, and polyurethane. Finally it will discuss different options for scheduling the rehabilitation of corrosion damage including: the statistical comparison of signals from inspection pigs; statistical comparison of selected measurements from inspection pigs and other inspections; the use of corrosion rates estimated for the mechanisms and conditions; expert judgement. (author)

  15. Innovation and Demand

    DEFF Research Database (Denmark)

    Andersen, Esben Sloth

    2007-01-01

    the demand-side of markets in the simplest possible way. This strategy has allowed a gradual increase in the sophistication of supply-side aspects of economic evolution, but the one-sided focus on supply is facing diminishing returns. Therefore, demand-side aspects of economic evolution have in recent years...... received increased attention. The present paper argues that the new emphasis on demand-side factors is quite crucial for a deepened understanding of economic evolution. The major reasons are the following: First, demand represents the core force of selection that gives direction to the evolutionary process....... Second, firms' innovative activities relate, directly or indirectly, to the structure of expected and actual demand. Third, the demand side represents the most obvious way of turning to the much-needed analysis of macro-evolutionary change of the economic system....

  16. Analysis of the Effective Control of the Pipeline Engineering Cost%试析管线工程造价的有效控制

    Institute of Scientific and Technical Information of China (English)

    甘甜

    2014-01-01

    Pipeline engineering cost control is an important content of engineering cost management. In order to effect-tively control the pipeline cost, the author introduces the pipeline engineering cost and pipeline engineering cost control measures and hope to be able to put forward effective sugge-stions to improve the pipeline project cost control.%管线工程造价控制是工程造价管理的一项重要内容,为了能够有效地进行管线造价控制,笔者介绍了管线工程造价以及管线工程造价的具体控制措施,希望能够为提高管线工程造价控制提出有效的建议。

  17. Coupling Analysis of Low-Speed Multiphase Flow and High-Frequency Electromagnetic Field in a Complex Pipeline Structure

    Directory of Open Access Journals (Sweden)

    Xiaokai Huo

    2014-01-01

    Full Text Available Accurate estimation of water content in an oil-water mixture is a key technology in oil exploration and production. Based on the principles of the microwave transmission line (MTL, the logging probe is an important water content measuring apparatus. However, the effects of mixed fluid flow on the measurement of electromagnetic field parameters are rarely considered. This study presents the coupling model for low-speed multiphase flow and high-frequency electromagnetic field in a complex pipeline structure. We derived the S-parameter equations for the stratified oil/water flow model. The corresponding relationship between the S-parameters and water holdup is established. Evident coupling effects of the fluid flow and the electromagnetic field are confirmed by comparing the calculated S-parameters for both stratified and homogeneous flow patterns. In addition, a multiple-solution problem is analyzed for the inversion of dielectric constant from the S-parameters. The most sensitive phase angle range is determined to improve the detection of variation in the dielectric constant. Suggestions are proposed based on the influence of the oil/water layer on measurement sensitivity to optimize the geometric parameters of a device structure. The method proposed elucidates how accuracy and sensitivity can be improved in water holdup measurements under high water content conditions.

  18. The HLA-net GENE[RATE] pipeline for effective HLA data analysis and its application to 145 population samples from Europe and neighbouring areas.

    Science.gov (United States)

    Nunes, J M; Buhler, S; Roessli, D; Sanchez-Mazas, A

    2014-05-01

    In this review, we present for the first time an integrated version of the Gene[rate] computer tools which have been developed during the last 5 years to analyse human leukocyte antigen (HLA) data in human populations, as well as the results of their application to a large dataset of 145 HLA-typed population samples from Europe and its two neighbouring areas, North Africa and West Asia, now forming part of the Gene[va] database. All these computer tools and genetic data are, from now, publicly available through a newly designed bioinformatics platform, HLA-net, here presented as a main achievement of the HLA-NET scientific programme. The Gene[rate] pipeline offers user-friendly computer tools to estimate allele and haplotype frequencies, to test Hardy-Weinberg equilibrium (HWE), selective neutrality and linkage disequilibrium, to recode HLA data, to convert file formats, to display population frequencies of chosen alleles and haplotypes in selected geographic regions, and to perform genetic comparisons among chosen sets of population samples, including new data provided by the user. Both numerical and graphical outputs are generated, the latter being highly explicit and of publication quality. All these analyses can be performed on the pipeline after scrupulous validation of the population sample's characterisation and HLA typing reporting according to HLA-NET recommendations. The Gene[va] database offers direct access to the HLA-A, -B, -C, -DQA1, -DQB1, -DRB1 and -DPB1 frequencies and summary statistics of 145 population samples having successfully passed these HLA-NET 'filters', and representing three European subregions (South-East, North-East and Central-West Europe) and two neighbouring areas (North Africa, as far as Sudan, and West Asia, as far as South India). The analysis of these data, summarized in this review, shows a substantial genetic variation at the regional level in this continental area. These results have main implications for population genetics

  19. 78 FR 70623 - Pipeline Safety: Meeting of the Gas Pipeline Advisory Committee and the Liquid Pipeline Advisory...

    Science.gov (United States)

    2013-11-26

    ... gas pipelines and for hazardous liquid pipelines. Both committees were established under the Federal... Administration [Docket No. PHMSA-2009-0203] Pipeline Safety: Meeting of the Gas Pipeline Advisory Committee and the Liquid Pipeline Advisory Committee AGENCY: Pipeline and Hazardous Materials Safety...

  20. Econometric analysis of the demand for gasoline at the state level

    Energy Technology Data Exchange (ETDEWEB)

    Greene, D.L.

    1978-07-01

    An investigation into factors influencing levels of highway gasoline use per household and per vehicle at the state level shows use per vehicle ranged from 588.7 gal in Pennsylvania to 900.0 gal in Arkansas in 1975. Household use in the same year was lowest in New York (864.5 gal) and highest in Wyoming (2222.0 gal). Determinants of the demand for highway gasoline were identified based on economic theory of the demand for travel. Exploratory theoretical analyses led to the conclusion that important state-specific influences were not being adequately accounted for by the available time series (1966 to 1975) of cross-sectional (state) variables. These state effects appeared to be strongly correlated with income. Two time-series cross-sectional (TSCS) regression techniques were employed, producing reasonable and consistent models. Elasticity estimates were slightly higher than estimates using earlier data. In order to analyze the determinants of differences in state gasoline use rates, a two-phase modeling approach was used which first estimates a demand equation utilizing key socio-economic variables. The TSCS technique used to estimate the equation produces quantitative estimates of state-specific deviations from predicted consumption levels. In the second stage these state-specific effects are regressed against a set of explanatory variables describing such state characteristics as spatial structure, climate, and employment in agriculture. State household gasoline-use rates were found to be negatively related to population density, percent of population living in metropolitan areas, agricultural employment, severe winter weather, and small car share of the vehicle fleet. They were positively related to the percentage of the population of working age and to the level of tourist activity. A companion report (ORNL-5391, ''An Investigation of the Variability of Gasoline Consumption among States,'' D. L. Greene) summarizes the major findings of this