WorldWideScience

Sample records for farms model-based analysis

  1. Extensions in model-based system analysis

    OpenAIRE

    Graham, Matthew R.

    2007-01-01

    Model-based system analysis techniques provide a means for determining desired system performance prior to actual implementation. In addition to specifying desired performance, model-based analysis techniques require mathematical descriptions that characterize relevant behavior of the system. The developments of this dissertation give ex. tended formulations for control- relevant model estimation as well as model-based analysis conditions for performance requirements specified as frequency do...

  2. Wind farms providing secondary frequency regulation: Evaluating the performance of model-based receding horizon control

    Science.gov (United States)

    Shapiro, Carl R.; Meyers, Johan; Meneveau, Charles; Gayme, Dennice F.

    2016-09-01

    We investigate the use of wind farms to provide secondary frequency regulation for a power grid. Our approach uses model-based receding horizon control of a wind farm that is tested using a large eddy simulation (LES) framework. In order to enable real-time implementation, the control actions are computed based on a time-varying one-dimensional wake model. This model describes wake advection and interactions, both of which play an important role in wind farm power production. This controller is implemented in an LES model of an 84-turbine wind farm represented by actuator disk turbine models. Differences between the velocities at each turbine predicted by the wake model and measured in LES are used for closed-loop feedback. The controller is tested on two types of regulation signals, “RegA” and “RegD”, obtained from PJM, an independent system operator in the eastern United States. Composite performance scores, which are used by PJM to qualify plants for regulation, are used to evaluate the performance of the controlled wind farm. Our results demonstrate that the controlled wind farm consistently performs well, passing the qualification threshold for all fastacting RegD signals. For the RegA signal, which changes over slower time scales, the controlled wind farm's average performance surpasses the threshold, but further work is needed to enable the controlled system to achieve qualifying performance all of the time.

  3. Probabilistic Model-Based Safety Analysis

    CERN Document Server

    Güdemann, Matthias; 10.4204/EPTCS.28.8

    2010-01-01

    Model-based safety analysis approaches aim at finding critical failure combinations by analysis of models of the whole system (i.e. software, hardware, failure modes and environment). The advantage of these methods compared to traditional approaches is that the analysis of the whole system gives more precise results. Only few model-based approaches have been applied to answer quantitative questions in safety analysis, often limited to analysis of specific failure propagation models, limited types of failure modes or without system dynamics and behavior, as direct quantitative analysis is uses large amounts of computing resources. New achievements in the domain of (probabilistic) model-checking now allow for overcoming this problem. This paper shows how functional models based on synchronous parallel semantics, which can be used for system design, implementation and qualitative safety analysis, can be directly re-used for (model-based) quantitative safety analysis. Accurate modeling of different types of proba...

  4. The CDF Central Analysis Farm

    Energy Technology Data Exchange (ETDEWEB)

    Kim, T.H.; /MIT; Neubauer, M.; /UC, San Diego; Sfiligoi, I.; /Frascati; Weems, L.; /Fermilab; Wurthwein, F.; /UC, San Diego

    2004-01-01

    With Run II of the Fermilab Tevatron well underway, many computing challenges inherent to analyzing large volumes of data produced in particle physics research need to be met. We present the computing model within CDF designed to address the physics needs of the collaboration. Particular emphasis is placed on current development of a large O(1000) processor PC cluster at Fermilab serving as the Central Analysis Farm for CDF. Future plans leading toward distributed computing and GRID within CDF are also discussed.

  5. Comparative analysis as a management tool for broiler breeder farms: simulated individual farm analysis (IFAS)

    NARCIS (Netherlands)

    Yassin, H.; Velthuis, A.G.J.; Giesen, G.W.J.; Oude Lansink, A.G.J.M.

    2012-01-01

    The objective of this study was to develop a management information system to evaluate the tactical management of a breeder flock using individual farm analysis with a deterministic simulation model (IFAS). Individual farm analysis is a method that evaluates the performance of individual farms by

  6. Stability analysis of offshore wind farm and marine current farm

    Science.gov (United States)

    Shawon, Mohammad Hasanuzzaman

    -trend for large electric energy production using offshore wind generators and marine current generators, respectively. Thus DFIG based offshore wind farm can be an economic solution to stabilize squirrel cage induction generator based marine current farm without installing any addition FACTS devices. This thesis first focuses on the stabilization of fixed speed IG based marine current farm using SDBR. Also stabilization of DFIG based variable speed wind farm utilizing SDBR is studied in this work. Finally a co-operative control strategy is proposed where DFIG is controlled in such a way that it can even provide necessary reactive power demand of induction generator, so that additional cost of FACTS devices can be avoided. In that way, the DFIGs of the offshore wind farm (OWF) will actively compensate the reactive power demand of adjacent IGs of the marine current farm (MCF) during grid fault. Detailed modeling and control scheme for the proposed system are demonstrated considering some realistic scenarios. The power system small signal stability analysis is also carried out by eigenvalue analysis for marine current generator topology, wind turbine generator topology and integrated topology. The relation between the modes and state variables are discussed in light of modal and sensitivity analyses. The results of theoretical analyses are verified by MATLAB/SIMULINK and laboratory standard power system simulator PSCAD/EMTDC.

  7. A Requirements Analysis Model Based on QFD

    Institute of Scientific and Technical Information of China (English)

    TANG Zhi-wei; Nelson K.H.Tang

    2004-01-01

    The enterprise resource planning (ERP) system has emerged to offer an integrated IT solution and more and more enterprises are increasing by adopting this system and regarding it as an important innovation. However, there is already evidence of high failure risks in ERP project implementation, one major reason is poor analysis of the requirements for system implementation. In this paper, the importance of requirements analysis for ERP project implementation is highlighted, and a requirements analysis model by applying quality function deployment (QFD) is presented, which will support to conduct requirements analysis for ERP project.

  8. Model Based Analysis of Insider Threats

    DEFF Research Database (Denmark)

    Chen, Taolue; Han, Tingting; Kammueller, Florian

    2016-01-01

    In order to detect malicious insider attacks it is important to model and analyse infrastructures and policies of organisations and the insiders acting within them. We extend formal approaches that allow modelling such scenarios by quantitative aspects to enable a precise analysis of security...... designs. Our framework enables evaluating the risks of an insider attack to happen quantitatively. The framework first identifies an insider's intention to perform an inside attack, using Bayesian networks, and in a second phase computes the probability of success for an inside attack by this actor, using...... probabilistic model checking. We provide prototype tool support using Matlab for Bayesian networks and PRISM for the analysis of Markov decision processes, and validate the framework with case studies....

  9. ICPP Tank Farm systems analysis

    Energy Technology Data Exchange (ETDEWEB)

    Palmer, W.B.; Beer, M.J.; Cukars, M.; Law, J.P.; Millet, C.B.; Murphy, J.A.; Nenni, J.A.; Park, C.V.; Pruitt, J.I.; Thiel, E.C.; Ward, F.S.; Woodard, J.

    1994-01-01

    During the early years (1950--1965) of Idaho Chemical Processing Plant (ICPP) operations, eleven, 300,000-gallon waste storage tanks were constructed. A project was in progress to replace these aging tanks; however, since fuel reprocessing has been curtailed at ICPP, it is not clear that the new tanks are required. The Department of Energy (DOE) requested a systems engineering evaluation to determine the need for the new tanks. Over 100 alternatives were identified during a facilitated team meeting using Value Engineering techniques. After eliminating any ideas which clearly could not meet the requirements, the remaining ideas were combined into nine basic cases with five sub cases. These fourteen cases were then carefully defined using two methods. First, each case was drawn graphically to show waste processing equipment interfaces and time constraints where they existed or were imposed. Second, each case was analyzed using a time-dependent computer simulation of ICPP waste management activities to determine schedule interactions, liquid storage requirements, and solid waste quantities. Based on the evaluation data, the team developed the following recommendations: Install and operate the high-level liquid waste evaporator; minimize liquid waste generation as much as possible within the constraints of required ICPP operational, safety, and environmental commitments; bring a Waste Immobilization Facility on line by 2008 or earlier; operate NWCF as required to alleviate the need for new tank farm capacity; maximize the concentration of Na and K in the calcine to minimize the final amount of waste requiring immobilization; avoid using Bin Set 7 for calcine storage, if possible, to reduce future calcine retrieval and D&D costs; and use WM-190 for liquid waste storage and one of the pillar and panel vaulted tanks as the spare.

  10. Model-based methods for linkage analysis.

    Science.gov (United States)

    Rice, John P; Saccone, Nancy L; Corbett, Jonathan

    2008-01-01

    The logarithm of an odds ratio (LOD) score method originated in a seminal article by Newton Morton in 1955. The method is broadly concerned with issues of power and the posterior probability of linkage, ensuring that a reported linkage has a high probability of being a true linkage. In addition, the method is sequential so that pedigrees or LOD curves may be combined from published reports to pool data for analysis. This approach has been remarkably successful for 50 years in identifying disease genes for Mendelian disorders. After discussing these issues, we consider the situation for complex disorders where the maximum LOD score statistic shares some of the advantages of the traditional LOD score approach, but is limited by unknown power and the lack of sharing of the primary data needed to optimally combine analytic results. We may still learn from the LOD score method as we explore new methods in molecular biology and genetic analysis to utilize the complete human DNA sequence and the cataloging of all human genes.

  11. Model Based Analysis and Test Generation for Flight Software

    Science.gov (United States)

    Pasareanu, Corina S.; Schumann, Johann M.; Mehlitz, Peter C.; Lowry, Mike R.; Karsai, Gabor; Nine, Harmon; Neema, Sandeep

    2009-01-01

    We describe a framework for model-based analysis and test case generation in the context of a heterogeneous model-based development paradigm that uses and combines Math- Works and UML 2.0 models and the associated code generation tools. This paradigm poses novel challenges to analysis and test case generation that, to the best of our knowledge, have not been addressed before. The framework is based on a common intermediate representation for different modeling formalisms and leverages and extends model checking and symbolic execution tools for model analysis and test case generation, respectively. We discuss the application of our framework to software models for a NASA flight mission.

  12. Dynamic Resonance Sensitivity Analysis in Wind Farms

    DEFF Research Database (Denmark)

    Ebrahimzadeh, Esmaeil; Blaabjerg, Frede; Wang, Xiongfei

    2017-01-01

    Unlike conventional power systems, where resonance frequencies are mainly determined by passive impedances, wind farms present a more complex situation, where the control systems of the power electronic converters introduce also active impedances. This paper presents an approach to find the reson......Unlike conventional power systems, where resonance frequencies are mainly determined by passive impedances, wind farms present a more complex situation, where the control systems of the power electronic converters introduce also active impedances. This paper presents an approach to find...... (PFs) are calculated by critical eigenvalue sensitivity analysis versus the entries of the MIMO matrix. The PF analysis locates the most exciting bus of the resonances, where can be the best location to install the passive or active filters to reduce the harmonic resonance problems. Time...

  13. Tank Farm Operations Surveillance Automation Analysis

    Energy Technology Data Exchange (ETDEWEB)

    MARQUEZ, D.L.

    2000-12-21

    The Nuclear Operations Project Services identified the need to improve manual tank farm surveillance data collection, review, distribution and storage practices often referred to as Operator Rounds. This document provides the analysis in terms of feasibility to improve the manual data collection methods by using handheld computer units, barcode technology, a database for storage and acquisitions, associated software, and operational procedures to increase the efficiency of Operator Rounds associated with surveillance activities.

  14. Product Lifecycle Management Architecture: A Model Based Systems Engineering Analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Noonan, Nicholas James [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-07-01

    This report is an analysis of the Product Lifecycle Management (PLM) program. The analysis is centered on a need statement generated by a Nuclear Weapons (NW) customer. The need statement captured in this report creates an opportunity for the PLM to provide a robust service as a solution. Lifecycles for both the NW and PLM are analyzed using Model Based System Engineering (MBSE).

  15. Analysis of future agricultural change : a farm economics approach applied to Dutch arable farming

    NARCIS (Netherlands)

    Wossink, A.

    1993-01-01

    This study of agricultural change deals simultaneously with: (a) farm planning, ie. the constant adaptation to changing circumstances at the level of the individual farm firm and (b) conditional forecasting, ie. the analysis of alternative agricultural and environmental policy views and

  16. Analysis of future agricultural change : a farm economics approach applied to Dutch arable farming

    NARCIS (Netherlands)

    Wossink, A.

    1993-01-01

    This study of agricultural change deals simultaneously with: (a) farm planning, ie. the constant adaptation to changing circumstances at the level of the individual farm firm and (b) conditional forecasting, ie. the analysis of alternative agricultural and environmental policy views and the

  17. Analysis of future agricultural change: a farm economics approach applied to Dutch arable farming.

    NARCIS (Netherlands)

    Wossink, G.A.A.

    1993-01-01

    This study of agricultural change deals simultaneously with: (a) farm planning, ie. the constant adaptation to changing circumstances at the level of the individual farm firm and (b) conditional forecasting, ie. the analysis of alternative agricultural and environmental policy views and their impact

  18. Fusing Quantitative Requirements Analysis with Model-based Systems Engineering

    Science.gov (United States)

    Cornford, Steven L.; Feather, Martin S.; Heron, Vance A.; Jenkins, J. Steven

    2006-01-01

    A vision is presented for fusing quantitative requirements analysis with model-based systems engineering. This vision draws upon and combines emergent themes in the engineering milieu. "Requirements engineering" provides means to explicitly represent requirements (both functional and non-functional) as constraints and preferences on acceptable solutions, and emphasizes early-lifecycle review, analysis and verification of design and development plans. "Design by shopping" emphasizes revealing the space of options available from which to choose (without presuming that all selection criteria have previously been elicited), and provides means to make understandable the range of choices and their ramifications. "Model-based engineering" emphasizes the goal of utilizing a formal representation of all aspects of system design, from development through operations, and provides powerful tool suites that support the practical application of these principles. A first step prototype towards this vision is described, embodying the key capabilities. Illustrations, implications, further challenges and opportunities are outlined.

  19. Fusing Quantitative Requirements Analysis with Model-based Systems Engineering

    Science.gov (United States)

    Cornford, Steven L.; Feather, Martin S.; Heron, Vance A.; Jenkins, J. Steven

    2006-01-01

    A vision is presented for fusing quantitative requirements analysis with model-based systems engineering. This vision draws upon and combines emergent themes in the engineering milieu. "Requirements engineering" provides means to explicitly represent requirements (both functional and non-functional) as constraints and preferences on acceptable solutions, and emphasizes early-lifecycle review, analysis and verification of design and development plans. "Design by shopping" emphasizes revealing the space of options available from which to choose (without presuming that all selection criteria have previously been elicited), and provides means to make understandable the range of choices and their ramifications. "Model-based engineering" emphasizes the goal of utilizing a formal representation of all aspects of system design, from development through operations, and provides powerful tool suites that support the practical application of these principles. A first step prototype towards this vision is described, embodying the key capabilities. Illustrations, implications, further challenges and opportunities are outlined.

  20. Toward farm-based policy analysis: concepts applied in Haiti

    OpenAIRE

    Martinez, Juan Carlos; Sain, Gustavo; Yates, Michael

    1991-01-01

    Many policies - on the delivery of inputs or on marketing systems, credit, or extension - influence the potential utilization of new technologies. Through 'farm-based policy analysis' it is possible to use data generated in on-farm research (OFR) to identify policy constraints to the use of new technologies, and to effectively communicate that information to policy makers. This paper describes a tentative framework for farm-based policy analysis and suggests a sequence of five steps for the a...

  1. Logistics Enterprise Evaluation Model Based On Fuzzy Clustering Analysis

    Science.gov (United States)

    Fu, Pei-hua; Yin, Hong-bo

    In this thesis, we introduced an evaluation model based on fuzzy cluster algorithm of logistics enterprises. First of all,we present the evaluation index system which contains basic information, management level, technical strength, transport capacity,informatization level, market competition and customer service. We decided the index weight according to the grades, and evaluated integrate ability of the logistics enterprises using fuzzy cluster analysis method. In this thesis, we introduced the system evaluation module and cluster analysis module in detail and described how we achieved these two modules. At last, we gave the result of the system.

  2. Toward a validation process for model based safety analysis

    OpenAIRE

    Adeline, Romain; Cardoso, Janette; Darfeuil, Pierre; Humbert, Sophie; Seguin, Christel

    2010-01-01

    Today, Model Based processes become more and more widespread to achieve the analysis of a system. However, there is no formal testing approach to ensure that the formal model is compliant with the real system. In the paper, we choose to study AltaRica model. We present a general process to well construct and validate an AltaRica formal model. The focus is made on this validation phase, i.e. verifying the compliance between the model and the real system. For it, the proposed process recommends...

  3. [Model-based biofuels system analysis: a review].

    Science.gov (United States)

    Chang, Shiyan; Zhang, Xiliang; Zhao, Lili; Ou, Xunmin

    2011-03-01

    Model-based system analysis is an important tool for evaluating the potential and impacts of biofuels, and for drafting biofuels technology roadmaps and targets. The broad reach of the biofuels supply chain requires that biofuels system analyses span a range of disciplines, including agriculture/forestry, energy, economics, and the environment. Here we reviewed various models developed for or applied to modeling biofuels, and presented a critical analysis of Agriculture/Forestry System Models, Energy System Models, Integrated Assessment Models, Micro-level Cost, Energy and Emission Calculation Models, and Specific Macro-level Biofuel Models. We focused on the models' strengths, weaknesses, and applicability, facilitating the selection of a suitable type of model for specific issues. Such an analysis was a prerequisite for future biofuels system modeling, and represented a valuable resource for researchers and policy makers.

  4. Quantitative Analysis of Polarimetric Model-Based Decomposition Methods

    Directory of Open Access Journals (Sweden)

    Qinghua Xie

    2016-11-01

    Full Text Available In this paper, we analyze the robustness of the parameter inversion provided by general polarimetric model-based decomposition methods from the perspective of a quantitative application. The general model and algorithm we have studied is the method proposed recently by Chen et al., which makes use of the complete polarimetric information and outperforms traditional decomposition methods in terms of feature extraction from land covers. Nevertheless, a quantitative analysis on the retrieved parameters from that approach suggests that further investigations are required in order to fully confirm the links between a physically-based model (i.e., approaches derived from the Freeman–Durden concept and its outputs as intermediate products before any biophysical parameter retrieval is addressed. To this aim, we propose some modifications on the optimization algorithm employed for model inversion, including redefined boundary conditions, transformation of variables, and a different strategy for values initialization. A number of Monte Carlo simulation tests for typical scenarios are carried out and show that the parameter estimation accuracy of the proposed method is significantly increased with respect to the original implementation. Fully polarimetric airborne datasets at L-band acquired by German Aerospace Center’s (DLR’s experimental synthetic aperture radar (E-SAR system were also used for testing purposes. The results show different qualitative descriptions of the same cover from six different model-based methods. According to the Bragg coefficient ratio (i.e., β , they are prone to provide wrong numerical inversion results, which could prevent any subsequent quantitative characterization of specific areas in the scene. Besides the particular improvements proposed over an existing polarimetric inversion method, this paper is aimed at pointing out the necessity of checking quantitatively the accuracy of model-based PolSAR techniques for a

  5. Behavior analysis and farm animal welfare.

    Science.gov (United States)

    Foster, T M; Temple, W; Poling, A

    1997-01-01

    This article demonstrates that there is a role for behavior-analytic techniques in the area of farm animal welfare and provides examples of the kinds of work that can be done. Behavior-analytic procedures, specifically those used in the study of psychophysics, preference, and demand, can provide answers to three questions people concerned with the welfare of farm animals are likely to ask: What can the animals detect? What do they like and dislike? What will they work to attain or preserve? Such information certainly is necessary for making reasonable decisions about animal welfare, although it is not sufficient in and of itself.

  6. TOWARDS SUSTAINABLE FARMING: AN ANALYSIS AND REVIEW ...

    African Journals Online (AJOL)

    OLAWUYI

    Worldwide water shortage, desertification, and climate change, are only a few examples of human ... Sometimes this influence generates positive effects: some traditional farming .... against pollution caused by nitrates from agricultural sources [1991] OJ L375/1. 18 Council ..... water, soil, organic matter and air;. (iv) respects ...

  7. MACE: model based analysis of ChIP-exo.

    Science.gov (United States)

    Wang, Liguo; Chen, Junsheng; Wang, Chen; Uusküla-Reimand, Liis; Chen, Kaifu; Medina-Rivera, Alejandra; Young, Edwin J; Zimmermann, Michael T; Yan, Huihuang; Sun, Zhifu; Zhang, Yuji; Wu, Stephen T; Huang, Haojie; Wilson, Michael D; Kocher, Jean-Pierre A; Li, Wei

    2014-11-10

    Understanding the role of a given transcription factor (TF) in regulating gene expression requires precise mapping of its binding sites in the genome. Chromatin immunoprecipitation-exo, an emerging technique using λ exonuclease to digest TF unbound DNA after ChIP, is designed to reveal transcription factor binding site (TFBS) boundaries with near-single nucleotide resolution. Although ChIP-exo promises deeper insights into transcription regulation, no dedicated bioinformatics tool exists to leverage its advantages. Most ChIP-seq and ChIP-chip analytic methods are not tailored for ChIP-exo, and thus cannot take full advantage of high-resolution ChIP-exo data. Here we describe a novel analysis framework, termed MACE (model-based analysis of ChIP-exo) dedicated to ChIP-exo data analysis. The MACE workflow consists of four steps: (i) sequencing data normalization and bias correction; (ii) signal consolidation and noise reduction; (iii) single-nucleotide resolution border peak detection using the Chebyshev Inequality and (iv) border matching using the Gale-Shapley stable matching algorithm. When applied to published human CTCF, yeast Reb1 and our own mouse ONECUT1/HNF6 ChIP-exo data, MACE is able to define TFBSs with high sensitivity, specificity and spatial resolution, as evidenced by multiple criteria including motif enrichment, sequence conservation, direct sequence pileup, nucleosome positioning and open chromatin states. In addition, we show that the fundamental advance of MACE is the identification of two boundaries of a TFBS with high resolution, whereas other methods only report a single location of the same event. The two boundaries help elucidate the in vivo binding structure of a given TF, e.g. whether the TF may bind as dimers or in a complex with other co-factors. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

  8. Patent portfolio analysis model based on legal status information

    Institute of Scientific and Technical Information of China (English)

    Xuezhao; WANG; Yajuan; ZHAO; Jing; ZHANG; Ping; ZHAO

    2014-01-01

    Purpose:This research proposes a patent portfolio analysis model based on the legal status information to chart out a competitive landscape in a particular field,enabling organizations to position themselves within the overall technology landscape.Design/methodology/approach:Three indicators were selected for the proposed model:Patent grant rate,valid patents rate and patent maintenance period.The model uses legal status information to perform a qualitative evaluation of relative values of the individual patents,countries or regions’ technological capabilities and competitiveness of patent applicants.The results are visualized by a four-quadrant bubble chart To test the effectiveness of the model,it is used to present a competitive landscape in the lithium ion battery field.Findings:The model can be used to evaluate the values of the individual patents,highlight countries or regions’ positions in the field,and rank the competitiveness of patent applicants in the field.Research limitations:The model currently takes into consideration only three legal status indicators.It is actually feasible to introduce more indicators such as the reason for invalid patents and the distribution of patent maintenance time and associate them with those in the proposed model.Practical implications:Analysis of legal status information in combination of patent application information can help an organization to spot gaps in its patent claim coverage,as well as evaluate patent quality and maintenance situation of its granted patents.The study results can be used to support technology assessment,technology innovation and intellectual property management.Originality/value:Prior studies attempted to assess patent quality or competitiveness by using either single patent legal status indicator or comparative analysis of the impacts of each indicator.However,they are insufficient in presenting the combined effects of the evaluation indicators.Using our model,it appears possible to get a

  9. Active contour model based on force field analysis

    Institute of Scientific and Technical Information of China (English)

    HOU Zhi-qiang; HAN Chong-zhao

    2006-01-01

    The traditional snake initial contour should be close to the true boundary of an object of interest in an image;otherwise,an incorrect result will be obtained.Next,active contours have difficulties progressing into boundary concavities.Moreover,the traditional snake as well as almost all of its improved methods can be easily obtained from the local minimum because snake models are nonconvex.An active contour model based on force field analysis (FFA),namely,FFA snake model,is presented in this paper.Based on analyzing force distribution rules of the distance potential force field,a standard is introduced here to distinguish the false one from contour points.The result is not considered as the final solution when the snake energy is minimal.Furthermore,estimation and calculation should be made according to the established standard;only then can the result be considered final.Thus,the snake is prevented from running into the local minimum.The simulation results show that the FFA snake model has a large capture range and can move a snake into the boundary concavities,and that it is able to obtain the object of interest's contour precisely.Compared with the gradient vector flow snake,this new model has a low computational cost.

  10. Analysis of reproductive performance of sows in the factory farming

    OpenAIRE

    Němec, Petr

    2013-01-01

    The work deals with the analysis of some conditions to increase the level of piglets in factory farms. In addition to the genetic material used in crossing the farm, there is really important material support: good nutrition, breeding environment and nursing care. All these requirements were fullfilled in evaulated plant. In the breeding herd, were revealed a significant effect of early estrus and early pregnancy rate in the interval weaning of piglets. The obtained data showed that the perce...

  11. A cost minimisation analysis in teledermatology: model-based approach

    Directory of Open Access Journals (Sweden)

    Eminović Nina

    2010-08-01

    Full Text Available Abstract Background Although store-and-forward teledermatology is increasingly becoming popular, evidence on its effects on efficiency and costs is lacking. The aim of this study, performed in addition to a clustered randomised trial, was to investigate to what extent and under which conditions store-and-forward teledermatology can reduce costs from a societal perspective. Methods A cost minimisation study design (a model based approach was applied to compare teledermatology and conventional process costs per dermatology patient care episode. Regarding the societal perspective, total mean costs of investment, general practitioner, dermatologists, out-of-pocket expenses and employer costs were calculated. Uncertainty analysis was performed using Monte Carlo simulation with 31 distributions in the used cost model. Scenario analysis was performed using one-way and two-way sensitivity analyses with the following variables: the patient travel distance to physician and dermatologist, the duration of teleconsultation activities, and the proportion of preventable consultations. Results Total mean costs of teledermatology process were €387 (95%CI, 281 to 502.5, while the total mean costs of conventional process costs were €354.0 (95%CI, 228.0 to 484.0. The total mean difference between the processes was €32.5 (95%CI, -29.0 to 74.7. Savings by teledermatology can be achieved if the distance to a dermatologist is larger (> = 75 km or when more consultations (> = 37% can be prevented due to teledermatology. Conclusions Teledermatology, when applied to all dermatology referrals, has a probability of 0.11 of being cost saving to society. In order to achieve cost savings by teledermatology, teledermatology should be applied in only those cases with a reasonable probability that a live consultation can be prevented. Trail Registration This study is performed partially based on PERFECT D Trial (Current Controlled Trials No.ISRCTN57478950.

  12. Rasch model based analysis of the Force Concept Inventory

    Science.gov (United States)

    Planinic, Maja; Ivanjek, Lana; Susac, Ana

    2010-06-01

    The Force Concept Inventory (FCI) is an important diagnostic instrument which is widely used in the field of physics education research. It is therefore very important to evaluate and monitor its functioning using different tools for statistical analysis. One of such tools is the stochastic Rasch model, which enables construction of linear measures for persons and items from raw test scores and which can provide important insight in the structure and functioning of the test (how item difficulties are distributed within the test, how well the items fit the model, and how well the items work together to define the underlying construct). The data for the Rasch analysis come from the large-scale research conducted in 2006-07, which investigated Croatian high school students’ conceptual understanding of mechanics on a representative sample of 1676 students (age 17-18 years). The instrument used in research was the FCI. The average FCI score for the whole sample was found to be (27.7±0.4)% , indicating that most of the students were still non-Newtonians at the end of high school, despite the fact that physics is a compulsory subject in Croatian schools. The large set of obtained data was analyzed with the Rasch measurement computer software WINSTEPS 3.66. Since the FCI is routinely used as pretest and post-test on two very different types of population (non-Newtonian and predominantly Newtonian), an additional predominantly Newtonian sample ( N=141 , average FCI score of 64.5%) of first year students enrolled in introductory physics course at University of Zagreb was also analyzed. The Rasch model based analysis suggests that the FCI has succeeded in defining a sufficiently unidimensional construct for each population. The analysis of fit of data to the model found no grossly misfitting items which would degrade measurement. Some items with larger misfit and items with significantly different difficulties in the two samples of students do require further examination

  13. Rasch model based analysis of the Force Concept Inventory

    Directory of Open Access Journals (Sweden)

    Maja Planinic

    2010-03-01

    Full Text Available The Force Concept Inventory (FCI is an important diagnostic instrument which is widely used in the field of physics education research. It is therefore very important to evaluate and monitor its functioning using different tools for statistical analysis. One of such tools is the stochastic Rasch model, which enables construction of linear measures for persons and items from raw test scores and which can provide important insight in the structure and functioning of the test (how item difficulties are distributed within the test, how well the items fit the model, and how well the items work together to define the underlying construct. The data for the Rasch analysis come from the large-scale research conducted in 2006-07, which investigated Croatian high school students’ conceptual understanding of mechanics on a representative sample of 1676 students (age 17–18 years. The instrument used in research was the FCI. The average FCI score for the whole sample was found to be (27.7±0.4%, indicating that most of the students were still non-Newtonians at the end of high school, despite the fact that physics is a compulsory subject in Croatian schools. The large set of obtained data was analyzed with the Rasch measurement computer software WINSTEPS 3.66. Since the FCI is routinely used as pretest and post-test on two very different types of population (non-Newtonian and predominantly Newtonian, an additional predominantly Newtonian sample (N=141, average FCI score of 64.5% of first year students enrolled in introductory physics course at University of Zagreb was also analyzed. The Rasch model based analysis suggests that the FCI has succeeded in defining a sufficiently unidimensional construct for each population. The analysis of fit of data to the model found no grossly misfitting items which would degrade measurement. Some items with larger misfit and items with significantly different difficulties in the two samples of students do require further

  14. ECONOMIC ANALYSIS LAYING HENS FARM AT FARM HARMA NGEMPLAK DISTRICT, SLEMAN REGENCY

    Directory of Open Access Journals (Sweden)

    Pes Murib

    2014-01-01

    Full Text Available Laying Poultry is one of local farm potential that can developed for years to come because they have a favorable earnings outlook for entrepreneurs laying hens. This study aimed to: 1 determine factors that influence egg production, 2 knowing revenues laying hens, 3 knowing feasibility of laying hens. Subjects in this study were laying poultry Farm Harma at Banjarharjo, Sleman. Data in this research obtained through observation, interviews, and recording. Used analysis: 1 analysis of Factors Affecting Production of Livestock Laying Chickens used Multiple Linear Regression Analysis, 2 Analysis of revenues, and 3 analysis of feasibility of laying hens used analysis of R/C. Results: 1 factors of production which includes amount of labor, housing, medicines, seeds, and feed together affect production of laying hens. Then individual variables showed that only drugs that do not significantly affect production of laying hens. While variable amount of labor, cages, seed and feed significantly affect production of laying hens, 2 gross income received by farmers is IDR 277,525,208, while net income amounted to IDR 105,214,234, and 3 rated R/C ratio of 1.52 which can be concluded that business of laying hens at Farm Harma Banjarharjo worth effort.

  15. Wind Energy in Poland - economic analysis of wind farm

    Directory of Open Access Journals (Sweden)

    Gnatowska Renata

    2017-01-01

    Full Text Available Wind power generation is the most dynamically developing branch of renewable energy sector in Poland. The high price of coal and its negative environmental impact result in ever growing support for the renewable energy in the energy sector. Wind power industry produces clean energy, but costs of investments are very high. Process of creating a wind farm is very long and complicated. It requires the knowledge of many disciplines such as law, economics, energetic. The aim of this paper was study the state and the development of the wind power sector, especially wind farm in Poland. The economic analysis on investment in wind farm in Poland according to a new act on renewable energy sources was presented. The subject of this analysis was to estimate profitability of wind farm project 40 MW capacity. The analysis includes the comparison of various support systems - the system of green certificates and the new - auction model on the profitability of investment in wind farm. This aims to show how important is appropriate government support for producers of green energy words.

  16. A stochastic analysis of tractor overturn costs on catfish farms.

    Science.gov (United States)

    Ibendahl, G A; Stephens, W B; Myers, M L

    2012-10-01

    An area of health and safety risk in agriculture that can be especially dangerous is catfish farming. One of the potential sources of injuries on catfish farms is tractor overturns that often result in crushing injuries. There is likely a higher probability of tractor overturns on a catfish farm than on a traditional crop farm due to the conditions that prevail on catfish farms. A catfish farm requires tractor movement near pond levees and water, and these levees have steep banks. Many of the activities on a catfish farm, such as mowing, feeding, and pond maintenance, require operating a tractor near a pond levee. Rollover protection structures (ROPS) on tractors can help to minimize the injuries caused by tractor overturns. ROPS do not lessen the probability of overturns, but ROPS mitigate the expected injury severity and lower the associated costs of an overturn. Despite the benefits of ROPS, not every tractor is so equipped. Some earlier work indicated that the cost to retrofit older tractors might outweigh the expected benefits. This article uses stochastic (i.e., randomly determined) analysis to determine if risk-averse farmers are more likely than risk-neutral farmers to retrofit tractors with ROPS. For this analysis, a distribution function of injury costs should an overturn occur was developed for both ROPS and non-ROPS tractors, and a Monte Carlo simulation was conducted. Results indicate that many risk-averse producers would be willing to retrofit older tractors with ROPS. However producers who are risk-neutral probably will not retrofit. These results might explain why not all tractors have been retrofitted despite the long-term availability of retrofit kits.

  17. Poverty Analysis of Rice Farming Households: A Multidimensional Approach

    Directory of Open Access Journals (Sweden)

    Adenuga A. H

    2013-12-01

    Full Text Available The official measurement and analysis of poverty in Nigeria has historically relied upon the single dimension, consumption based monetary approach with little attention on multidimensional poverty assessment. This study was therefore carried out to assess the multidimensional poverty index of rice farming households in Nasarawa/Benue Rice Hub, Nigeria. The study employed stratified random sampling technique to select 149 rice farming households in the study area. Descriptive statistics, the Alkire and Foster Multidimensional Poverty Index Methodology using two different cut-off points and the Tobit regression model were the main analytical tools employed for the study. The results of the multidimensional poverty index analysis revealed that female headed households were poorer than the male headed households. On the overall, 66 percent of the rice farming households was multidimensionally poor. The study also showed that the rice farming households were deprived in 48 percent of the dimensions. A multidimensional poverty index of 0.32 was obtained for the rice farming households in the study area with varying values obtained for the male and female headed households. The result of the Tobit regression model showed that gender of the household head, health, marital status and membership of association were the major determinants of multidimensional poverty of the rice farming households in the study area. The study concluded that the rice farming households in the study area were multidimensionally poor. It was recommended that the government should give priorities to the development of the rural areas with special consideration for women through the provision of essential infrastructural facilities.

  18. Outlier Identification in Model-Based Cluster Analysis.

    Science.gov (United States)

    Evans, Katie; Love, Tanzy; Thurston, Sally W

    2015-04-01

    In model-based clustering based on normal-mixture models, a few outlying observations can influence the cluster structure and number. This paper develops a method to identify these, however it does not attempt to identify clusters amidst a large field of noisy observations. We identify outliers as those observations in a cluster with minimal membership proportion or for which the cluster-specific variance with and without the observation is very different. Results from a simulation study demonstrate the ability of our method to detect true outliers without falsely identifying many non-outliers and improved performance over other approaches, under most scenarios. We use the contributed R package MCLUST for model-based clustering, but propose a modified prior for the cluster-specific variance which avoids degeneracies in estimation procedures. We also compare results from our outlier method to published results on National Hockey League data.

  19. Outlier Identification in Model-Based Cluster Analysis

    Science.gov (United States)

    Evans, Katie; Love, Tanzy; Thurston, Sally W.

    2015-01-01

    In model-based clustering based on normal-mixture models, a few outlying observations can influence the cluster structure and number. This paper develops a method to identify these, however it does not attempt to identify clusters amidst a large field of noisy observations. We identify outliers as those observations in a cluster with minimal membership proportion or for which the cluster-specific variance with and without the observation is very different. Results from a simulation study demonstrate the ability of our method to detect true outliers without falsely identifying many non-outliers and improved performance over other approaches, under most scenarios. We use the contributed R package MCLUST for model-based clustering, but propose a modified prior for the cluster-specific variance which avoids degeneracies in estimation procedures. We also compare results from our outlier method to published results on National Hockey League data. PMID:26806993

  20. Dynamic modelling and analysis of multi-machine power systems including wind farms

    Science.gov (United States)

    Tabesh, Ahmadreza

    2005-11-01

    This thesis introduces a small-signal dynamic model, based on a frequency response approach, for the analysis of a multi-machine power system with special focus on an induction machine based wind farm. The proposed approach is an alternative method to the conventional eigenvalue analysis method which is widely employed for small-signal dynamic analyses of power systems. The proposed modelling approach is successfully applied and evaluated for a power system that (i) includes multiple synchronous generators, and (ii) a wind farm based on either fixed-speed, variable-speed, or doubly-fed induction machine based wind energy conversion units. The salient features of the proposed method, as compared with the conventional eigenvalue analysis method, are: (i) computational efficiency since the proposed method utilizes the open-loop transfer-function matrix of the system, (ii) performance indices that are obtainable based on frequency response data and quantitatively describe the dynamic behavior of the system, and (iii) capability to formulate various wind energy conversion unit, within a wind farm, in a modular form. The developed small-signal dynamic model is applied to a set of multi-machine study systems and the results are validated based on comparison (i) with digital time-domain simulation results obtained from PSCAD/EMTDC software tool, and (ii) where applicable with eigenvalue analysis results.

  1. Economic analysis of wildlife conservation in crop farming

    NARCIS (Netherlands)

    Wenum, van J.H.

    2002-01-01

    The general objective of this thesis was to present an economic analysis of wildlife conservation in Dutch crop farming. This general objective was broken down into 5 specific research objectives around which the research was organised: (1) selection and definition of appropriate indicators for wild

  2. Analysis of a commercial wind farm in Taiwan

    DEFF Research Database (Denmark)

    Wang, Li; Yeh, Tai-Her; Lee, Wei-Jen

    2009-01-01

    This paper presents steady-state performance analysis of a commercial wind farm in Taiwan through field measurement results and computer simulations. The companion paper in Part II discusses the employment of current-limit reactors and load tap changers on power-quality improvement of the studied...

  3. Economic analysis of wildlife conservation in crop farming

    NARCIS (Netherlands)

    Wenum, van J.H.

    2002-01-01

    The general objective of this thesis was to present an economic analysis of wildlife conservation in Dutch crop farming. This general objective was broken down into 5 specific research objectives around which the research was organised: (1) selection and definition of appropriate indicators for

  4. Empirical Analysis of Farm Credit Risk under the Structure Model

    Science.gov (United States)

    Yan, Yan

    2009-01-01

    The study measures farm credit risk by using farm records collected by Farm Business Farm Management (FBFM) during the period 1995-2004. The study addresses the following questions: (1) whether farm's financial position is fully described by the structure model, (2) what are the determinants of farm capital structure under the structure model, (3)…

  5. Empirical Analysis of Farm Credit Risk under the Structure Model

    Science.gov (United States)

    Yan, Yan

    2009-01-01

    The study measures farm credit risk by using farm records collected by Farm Business Farm Management (FBFM) during the period 1995-2004. The study addresses the following questions: (1) whether farm's financial position is fully described by the structure model, (2) what are the determinants of farm capital structure under the structure model, (3)…

  6. Prediction model based on decision tree analysis for laccase mediators.

    Science.gov (United States)

    Medina, Fabiola; Aguila, Sergio; Baratto, Maria Camilla; Martorana, Andrea; Basosi, Riccardo; Alderete, Joel B; Vazquez-Duhalt, Rafael

    2013-01-10

    A Structure Activity Relationship (SAR) study for laccase mediator systems was performed in order to correctly classify different natural phenolic mediators. Decision tree (DT) classification models with a set of five quantum-chemical calculated molecular descriptors were used. These descriptors included redox potential (ɛ°), ionization energy (E(i)), pK(a), enthalpy of formation of radical (Δ(f)H), and OH bond dissociation energy (D(O-H)). The rationale for selecting these descriptors is derived from the laccase-mediator mechanism. To validate the DT predictions, the kinetic constants of different compounds as laccase substrates, their ability for pesticide transformation as laccase-mediators, and radical stability were experimentally determined using Coriolopsis gallica laccase and the pesticide dichlorophen. The prediction capability of the DT model based on three proposed descriptors showed a complete agreement with the obtained experimental results. Copyright © 2012 Elsevier Inc. All rights reserved.

  7. STEPS IN MAKING TECHNICAL ANALYSIS ECONOMIC ACTIVITY IN FARM

    OpenAIRE

    Teodora IVASCU

    2012-01-01

    Business analysis of agricultural units, research, information system based on the results obtained in their work, factors which have determined ways to improve them. It has an important role in ensuring the scientific management of farms, are an essential instrument in the exercise of leadership attributes on all hierarchical levels. In the analysis of business units in agriculture must take into consideration the peculiarities of agricultural production. These are reflected in the structure...

  8. Reading the Farm-Training Agricultural Professionals in Whole Farm Analysis for Sustainable Agriculture

    Science.gov (United States)

    Mallory, Ellen; White, Charles; Morris, Thomas; Kiernan, Nancy Ellen

    2011-01-01

    Reading the Farm is a 2- to 3-day professional development program that brings together agricultural service providers from a range of agencies, with various expertise and levels of experience, to explore whole-farm systems and sustainability through in-depth study of two case-study farms. Over 90% of past participants reported that the program…

  9. Operator Alertness/Workload Assessment Using Stochastic Model-Based Analysis of Myoelectric Signals.

    Science.gov (United States)

    1985-11-01

    BASED ANALYSIS OF MYOELECTRIC SIGNALS A. Madni C. Conaway S. Otsubo Y. Chu D" O~~r ’: Prepared For: E - AIR FORCE OFFICE OF SCIENTIFIC RESEARCH...November 1985 Phase II Interim Report For: so OPERATOR ALERTNESS/WORKLOAD ASSESSMENT USING STOCHASTIC MODEL-BASED ANALYSIS OF MYOELECTRIC SIGNALS A...TITLE (Include Security ClasSification) Operator Alterness/Workload Assessment Using Stochastic Model-Based Analysis of Myoelectric Signals 112

  10. Analysis on Lightning Surge Propagation in Wind Farm

    Science.gov (United States)

    Yasuda, Yoh; Hara, Takehisa; Funabashi, Toshihisa

    Wind power generation is expected to become more important in the future distribution system. Although several prospective reports such as IEC 61400-24 and NREL SR-500-31115 indicate on insulation scheme and grounding design for lightning protection, it still seems that there are not many investigations on the problems. This paper therefore discusses lightning surge analysis using wind farm model with 2 or 10 ideal wind turbines. Changing parameters such as grounding resistance and lightning strike points, several cases were studied. As the result of the analysis using digital simulator ARENE, it is clear that the surge tends to propagate toward the end of a distribution line in a wind farm and there is possibility of insulation accidents at the other wind turbines when lightning attacks a wind turbine.

  11. Analysis of organic farming practices amongst crop farmers in Delta ...

    African Journals Online (AJOL)

    Dr. atoma & Family

    The farming practice is eco-friendly and works in agreement with nature. ... Lampkin (1990), said that organic farming systems rely on crop rotation, crop residues, .... The study revealed high-level awareness of organic farming practices but ...

  12. A Web-Based Collaborative System for Remote Monitoring and Analysis of Livestock Farm Odours

    NARCIS (Netherlands)

    Liu, R.; Pan, L. L.; Yang, S. X.

    Monitoring and analysis of livestock farm environments require collection and management of large amount of data from distributed farms. There is an increasing demand for collaboration among livestock producers, environment agencies and governments. This paper presents a collaborative system for

  13. Component Analysis of Farming Systems With Relevance toFing~r ...

    African Journals Online (AJOL)

    is to preface component analysis results of a study of finger millet farming systems of South Western'. Tanzania. ... farming systems is a complex, multidimensional concept and its ..... ICRISAT (1974): In: Kraantz, B.A. and. Associates: Cropping ...

  14. Teaching-Learning Activity Modeling Based on Data Analysis

    Directory of Open Access Journals (Sweden)

    Kyungrog Kim

    2015-03-01

    Full Text Available Numerous studies are currently being carried out on personalized services based on data analysis to find and provide valuable information about information overload. Furthermore, the number of studies on data analysis of teaching-learning activities for personalized services in the field of teaching-learning is increasing, too. This paper proposes a learning style recency-frequency-durability (LS-RFD model for quantified analysis on the level of activities of learners, to provide the elements of teaching-learning activities according to the learning style of the learner among various parameters for personalized service. This is to measure preferences as to teaching-learning activity according to recency, frequency and durability of such activities. Based on the results, user characteristics can be classified into groups for teaching-learning activity by categorizing the level of preference and activity of the learner.

  15. Finite element analysis of osteoporosis models based on synchrotron radiation

    Science.gov (United States)

    Xu, W.; Xu, J.; Zhao, J.; Sun, J.

    2016-04-01

    With growing pressure of social aging, China has to face the increasing population of osteoporosis patients as well as the whole world. Recently synchrotron radiation has become an essential tool for biomedical exploration with advantage of high resolution and high stability. In order to study characteristic changes in different stages of primary osteoporosis, this research focused on the different periods of osteoporosis of rats based on synchrotron radiation. Both bone histomorphometry analysis and finite element analysis were then carried on according to the reconstructed three dimensional models. Finally, the changes of bone tissue in different periods were compared quantitatively. Histomorphometry analysis showed that the structure of the trabecular in osteoporosis degraded as the bone volume decreased. For femurs, the bone volume fraction (Bone volume/ Total volume, BV/TV) decreased from 69% to 43%. That led to the increase of the thickness of trabecular separation (from 45.05μ m to 97.09μ m) and the reduction of the number of trabecular (from 7.99 mm-1 to 5.97mm-1). Simulation of various mechanical tests with finite element analysis (FEA) indicated that, with the exacerbation of osteoporosis, the bones' ability of resistance to compression, bending and torsion gradually became weaker. The compression stiffness of femurs decreased from 1770.96 Fμ m-1 to 697.41 Fμ m-1, the bending and torsion stiffness were from 1390.80 Fμ m-1 to 566.11 Fμ m-1 and from 2957.28N.m/o to 691.31 N.m/o respectively, indicated the decrease of bone strength, and it matched the histomorphometry analysis. This study suggested that FEA and synchrotron radiation were excellent methods for analysing bone strength conbined with histomorphometry analysis.

  16. System modeling based measurement error analysis of digital sun sensors

    Institute of Scientific and Technical Information of China (English)

    WEI; M; insong; XING; Fei; WANG; Geng; YOU; Zheng

    2015-01-01

    Stringent attitude determination accuracy is required for the development of the advanced space technologies and thus the accuracy improvement of digital sun sensors is necessary.In this paper,we presented a proposal for measurement error analysis of a digital sun sensor.A system modeling including three different error sources was built and employed for system error analysis.Numerical simulations were also conducted to study the measurement error introduced by different sources of error.Based on our model and study,the system errors from different error sources are coupled and the system calibration should be elaborately designed to realize a digital sun sensor with extra-high accuracy.

  17. SMV model-based safety analysis of software requirements

    Energy Technology Data Exchange (ETDEWEB)

    Koh, Kwang Yong [Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon 305-701 (Korea, Republic of); Seong, Poong Hyun [Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon 305-701 (Korea, Republic of)], E-mail: phseong@kaist.ac.kr

    2009-02-15

    Fault tree analysis (FTA) is one of the most frequently applied safety analysis techniques when developing safety-critical industrial systems such as software-based emergency shutdown systems of nuclear power plants and has been used for safety analysis of software requirements in the nuclear industry. However, the conventional method for safety analysis of software requirements has several problems in terms of correctness and efficiency; the fault tree generated from natural language specifications may contain flaws or errors while the manual work of safety verification is very labor-intensive and time-consuming. In this paper, we propose a new approach to resolve problems of the conventional method; we generate a fault tree from a symbolic model verifier (SMV) model, not from natural language specifications, and verify safety properties automatically, not manually, by a model checker SMV. To demonstrate the feasibility of this approach, we applied it to shutdown system 2 (SDS2) of Wolsong nuclear power plant (NPP). In spite of subtle ambiguities present in the approach, the results of this case study demonstrate its overall feasibility and effectiveness.

  18. Model-based analysis and simulation of regenerative heat wheel

    DEFF Research Database (Denmark)

    Wu, Zhuang; Melnik, Roderick V. N.; Borup, F.

    2006-01-01

    of mathematical models for the thermal analysis of the fluid and wheel matrix. The effect of heat conduction in the direction of the fluid flow is taken into account and the influence of variations in rotating speed of the wheel as well as other characteristics (ambient temperature, airflow and geometric size...

  19. Rasch Model Based Analysis of the Force Concept Inventory

    Science.gov (United States)

    Planinic, Maja; Ivanjek, Lana; Susac, Ana

    2010-01-01

    The Force Concept Inventory (FCI) is an important diagnostic instrument which is widely used in the field of physics education research. It is therefore very important to evaluate and monitor its functioning using different tools for statistical analysis. One of such tools is the stochastic Rasch model, which enables construction of linear…

  20. Bayesian model-based cluster analysis for predicting macrofaunal communities

    NARCIS (Netherlands)

    Braak, ter C.J.F.; Hoijtink, H.; Akkermans, W.; Verdonschot, P.F.M.

    2003-01-01

    To predict macrofaunal community composition from environmental data a two-step approach is often followed: (1) the water samples are clustered into groups on the basis of the macrofauna data and (2) the groups are related to the environmental data, e.g. by discriminant analysis. For the cluster ana

  1. Superior accuracy of model-based radiostereometric analysis for measurement of polyethylene wear

    DEFF Research Database (Denmark)

    Stilling, M; Kold, S; de Raedt, S

    2012-01-01

    The accuracy and precision of two new methods of model-based radiostereometric analysis (RSA) were hypothesised to be superior to a plain radiograph method in the assessment of polyethylene (PE) wear.......The accuracy and precision of two new methods of model-based radiostereometric analysis (RSA) were hypothesised to be superior to a plain radiograph method in the assessment of polyethylene (PE) wear....

  2. Hydrocarbon Fuel Thermal Performance Modeling based on Systematic Measurement and Comprehensive Chromatographic Analysis

    Science.gov (United States)

    2016-07-31

    distribution unlimited Hydrocarbon Fuel Thermal Performance Modeling based on Systematic Measurement and Comprehensive Chromatographic Analysis Matthew...Technical Note 3. DATES COVERED (From - To) 04 January 2016 - 31 July 2016 4. TITLE AND SUBTITLE Hydrocarbon Fuel Thermal Performance Modeling based on...Systematic Measurement and Comprehensive Chromatographic Analysis 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S

  3. Wind Turbine Control Impact on Stability of Wind Farms Based on Real-Life Systems Analysis

    DEFF Research Database (Denmark)

    Kocewiak, Lukasz Hubert; Hjerrild, Jesper; Bak, Claus Leth

    2012-01-01

    that wind farm components such as long HVAC cables and park transformers can introduce significant low-frequency series resonances seen form the wind turbine terminals which can affect wind turbine control system operation and overall wind farm stability. The same wind turbine converter control strategy......This paper presents stability analysis of wind farms in frequency domain. The interaction between the wind turbine control system and the wind farm structure in wind farms is deeply investigated. Two wind farms (i.e. Horns Rev II and Karnice) are taken in to consideration in the study. It is shown...

  4. Model-Based Dependability Analysis of Physical Systems with Modelica

    Directory of Open Access Journals (Sweden)

    Andrea Tundis

    2017-01-01

    Full Text Available Modelica is an innovative, equation-based, and acausal language that allows modeling complex physical systems, which are made of mechanical, electrical, and electrotechnical components, and evaluates their design through simulation techniques. Unfortunately, the increasing complexity and accuracy of such physical systems require new, more powerful, and flexible tools and techniques for evaluating important system properties and, in particular, the dependability ones such as reliability, safety, and maintainability. In this context, the paper describes some extensions of the Modelica language to support the modeling of system requirements and their relationships. Such extensions enable the requirement verification analysis through native constructs in the Modelica language. Furthermore, they allow exporting a Modelica-based system design as a Bayesian Network in order to analyze its dependability by employing a probabilistic approach. The proposal is exemplified through a case study concerning the dependability analysis of a Tank System.

  5. Pressure Control in Distillation Columns: A Model-Based Analysis

    DEFF Research Database (Denmark)

    Mauricio Iglesias, Miguel; Bisgaard, Thomas; Kristensen, Henrik

    2014-01-01

    A comprehensive assessment of pressure control in distillation columns is presented, including the consequences for composition control and energy consumption. Two types of representative control structures are modeled, analyzed, and benchmarked. A detailed simulation test, based on a real...... industrial distillation column, is used to assess the differences between the two control structures and to demonstrate the benefits of pressure control in the operation. In the second part of the article, a thermodynamic analysis is carried out to establish the influence of pressure on relative volatility...

  6. A Probabilistic Rain Diagnostic Model Based on Cyclone Statistical Analysis

    OpenAIRE

    Iordanidou, V.; A. G. Koutroulis; I. K. Tsanis

    2014-01-01

    Data from a dense network of 69 daily precipitation gauges over the island of Crete and cyclone climatological analysis over middle-eastern Mediterranean are combined in a statistical approach to develop a rain diagnostic model. Regarding the dataset, 0.5 × 0.5, 33-year (1979–2011) European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA-Interim) is used. The cyclone tracks and their characteristics are identified with the aid of Melbourne University algorithm (MS scheme). T...

  7. Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging

    Directory of Open Access Journals (Sweden)

    Kiuru Aaro

    2003-01-01

    Full Text Available The "Dynamic Chest Image Analysis" project aims to develop model-based computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected with the dynamic pulmonary imaging technique. We have proposed and evaluated a multiresolutional method with an explicit ventilation model for ventilation analysis. This paper presents a new model-based method for pulmonary perfusion analysis. According to perfusion properties, we first devise a novel mathematical function to form a perfusion model. A simple yet accurate approach is further introduced to extract cardiac systolic and diastolic phases from the heart, so that this cardiac information may be utilized to accelerate the perfusion analysis and improve its sensitivity in detecting pulmonary perfusion abnormalities. This makes perfusion analysis not only fast but also robust in computation; consequently, perfusion analysis becomes computationally feasible without using contrast media. Our clinical case studies with 52 patients show that this technique is effective for pulmonary embolism even without using contrast media, demonstrating consistent correlations with computed tomography (CT and nuclear medicine (NM studies. This fluoroscopical examination takes only about 2 seconds for perfusion study with only low radiation dose to patient, involving no preparation, no radioactive isotopes, and no contrast media.

  8. Model-based risk analysis of coupled process steps.

    Science.gov (United States)

    Westerberg, Karin; Broberg-Hansen, Ernst; Sejergaard, Lars; Nilsson, Bernt

    2013-09-01

    A section of a biopharmaceutical manufacturing process involving the enzymatic coupling of a polymer to a therapeutic protein was characterized with regards to the process parameter sensitivity and design space. To minimize the formation of unwanted by-products in the enzymatic reaction, the substrate was added in small amounts and unreacted protein was separated using size-exclusion chromatography (SEC) and recycled to the reactor. The quality of the final recovered product was thus a result of the conditions in both the reactor and the SEC, and a design space had to be established for both processes together. This was achieved by developing mechanistic models of the reaction and SEC steps, establishing the causal links between process conditions and product quality. Model analysis was used to complement the qualitative risk assessment, and design space and critical process parameters were identified. The simulation results gave an experimental plan focusing on the "worst-case regions" in terms of product quality and yield. In this way, the experiments could be used to verify both the suggested process and the model results. This work demonstrates the necessary steps of model-assisted process analysis, from model development through experimental verification.

  9. Model Based Safety Analysis with smartIflow †

    Directory of Open Access Journals (Sweden)

    Philipp Hönig

    2017-01-01

    Full Text Available Verification of safety requirements is one important task during the development of safety critical systems. The increasing complexity of systems makes manual analysis almost impossible. This paper introduces a new methodology for formal verification of technical systems with smartIflow (State Machines for Automation of Reliability-related Tasks using Information FLOWs. smartIflow is a new modeling language that has been especially designed for the purpose of automating the safety analysis process in early product life cycle stages. It builds up on experience with existing approaches. As is common practice in current approaches, components are modeled as finite state machines. However, new concepts are introduced to describe component interactions. Events play a major role for internal interactions between components as well as for external (user interactions. Our approach to the verification of formally specified safety requirements is a two-step method. First, an exhaustive simulation creates knowledge about a great variety of possible behaviors of the system, especially including reactions on suddenly occurring (possibly intermittent faults. In the second step, safety requirements specified in CTL (Computation Tree Logic are verified using model checking techniques, and counterexamples are generated if these are not satisfied. The practical applicability of this approach is demonstrated based on a Java implementation using a simple Two-Tank-Pump-Consumer system.

  10. Technical Analysis on Mechanical Model Based Football Curveball

    Directory of Open Access Journals (Sweden)

    Feng Li

    2013-04-01

    Full Text Available In this study, from the angles the physics and biomechanics, in the case of the curveball generated by the rotation problem analysis and exposition, considering the speed, rotation, the wall, the goalkeeper, goaltender factors and football running track and the theory trajectory deviation factor, making the model as much as possible to simulate the actual effect and using the MATLAB software to draw the flight of the ball trajectory simulation. Reference designed for teaching, training and competition as well as to further deepen the awareness and understanding of football curveball. It can improve the free kick guidance and not only help the shooter to select the best shooting methods, but also for the goalkeeper has targeted to fighting with reference.

  11. PARTICULARITIES REGARDING THE CALCULATION AND PROFITABILITY ANALYSIS OF FARMS

    Directory of Open Access Journals (Sweden)

    Daniela SIMTION

    2015-04-01

    Full Text Available In contrast to the industry, in the agricultural production process, specific factors intervene, which determine peculiarities in the use of labor, means of production and work items. The specific factors acting in the agricultural production process: land, plants, animals, soil and climate conditions, give special features regarding the development strategy, but also regarding the production processes with the two sides: technological and economical, causing certain features with effects on the methodology of economic analysis. These features of farm profitability analysis were briefly presented in this study.

  12. The Fuzzy Grey Relational Analysis of the Factors Influencing Farm Produce Logistics

    Institute of Scientific and Technical Information of China (English)

    Yan; LI; Hongmei; SHAN

    2014-01-01

    The farm produce logistics plays an important role in promoting the agricultural production and prosperity of the rural economy,so grasping the main factors influencing the development of farm produce logistics,is of important significance to accelerating the development of farm produce logistics. The values of identification coefficient in the grey relational analysis are taken based on the experience,so the accuracy of the results is affected. This article uses the improved fuzzy grey relational analysis to analyze the main factors influencing farm produce logistics. The results show that the number of storage companies has a great impact on the development of farm produce logistics,followed by the farm produce processing machinery capacity,rural transport infrastructure,farm produce market conditions and government financial support for agriculture,while the total number of Internet users in rural areas has an limited impact on the development of farm produce logistics.

  13. Assessing farming eco-efficiency: a Data Envelopment Analysis approach.

    Science.gov (United States)

    Picazo-Tadeo, Andrés J; Gómez-Limón, José A; Reig-Martínez, Ernest

    2011-04-01

    This paper assesses farming eco-efficiency using Data Envelopment Analysis (DEA) techniques. Eco-efficiency scores at both farm and environmental pressure-specific levels are computed for a sample of Spanish farmers operating in the rain-fed agricultural system of Campos County. The determinants of eco-efficiency are then studied using truncated regression and bootstrapping techniques. We contribute to previous literature in this field of research by including information on slacks in the assessment of the potential environmental pressure reductions in a DEA framework. Our results reveal that farmers are quite eco-inefficient, with very few differences emerging among specific environmental pressures. Moreover, eco-inefficiency is closely related to technical inefficiencies in the management of inputs. Regarding the determinants of eco-efficiency, farmers benefiting from agri-environmental programs as well as those with university education are found to be more eco-efficient. Concerning the policy implications of these results, public expenditure in agricultural extension and farmer training could be of some help to promote integration between farming and the environment. Furthermore, Common Agricultural Policy agri-environmental programs are an effective policy to improve eco-efficiency, although some doubts arise regarding their cost-benefit balance.

  14. Simulation and analysis of conjunctive use with MODFLOW's farm process.

    Science.gov (United States)

    Hanson, R T; Schmid, W; Faunt, C C; Lockwood, B

    2010-01-01

    The extension of MODFLOW onto the landscape with the Farm Process (MF-FMP) facilitates fully coupled simulation of the use and movement of water from precipitation, streamflow and runoff, groundwater flow, and consumption by natural and agricultural vegetation throughout the hydrologic system at all times. This allows for more complete analysis of conjunctive use water-resource systems than previously possible with MODFLOW by combining relevant aspects of the landscape with the groundwater and surface water components. This analysis is accomplished using distributed cell-by-cell supply-constrained and demand-driven components across the landscape within "water-balance subregions" comprised of one or more model cells that can represent a single farm, a group of farms, or other hydrologic or geopolitical entities. Simulation of micro-agriculture in the Pajaro Valley and macro-agriculture in the Central Valley are used to demonstrate the utility of MF-FMP. For Pajaro Valley, the simulation of an aquifer storage and recovery system and related coastal water distribution system to supplant coastal pumpage was analyzed subject to climate variations and additional supplemental sources such as local runoff. For the Central Valley, analysis of conjunctive use from different hydrologic settings of northern and southern subregions shows how and when precipitation, surface water, and groundwater are important to conjunctive use. The examples show that through MF-FMP's ability to simulate natural and anthropogenic components of the hydrologic cycle, the distribution and dynamics of supply and demand can be analyzed, understood, and managed. This analysis of conjunctive use would be difficult without embedding them in the simulation and are difficult to estimate a priori.

  15. Merging DNA typing and network analysis to assess the transmission of paratuberculosis between farms.

    Science.gov (United States)

    Marquetoux, N; Heuer, C; Wilson, P; Ridler, A; Stevenson, M

    2016-11-01

    Paratuberculosis, a chronic enteric infection caused by Mycobacterium subsp. paratuberculosis (MAP), is endemic in all farmed ruminant species in New Zealand. The use of genotyping in combination with network analysis of livestock movement events from one farm location to another has the potential to contribute to our understanding of between-farm transmission events. We studied a population of 122 farms from a corporate commercial livestock enterprise in New Zealand, trading with each other in near isolation from other commercial farms. The data consisted of longitudinal movements to and from these farms between 2006 and 2010, as well as the results of cross-sectional MAP screening and genotyping performed in 2010. We explored associations between past livestock movements and current strain type distribution in this population of farms using quadratic assignment procedure. Our results show that measures of farm clustering within the movement network were significantly associated with sharing of MAP strains. For example, farms closely related by trade were twice as likely to share the same strains of MAP (p=0.033). Other covariates were also associated with the probability of sharing the same strains of MAP, such as being located on the same island (OR=5.8 to 8.7, p<0.01), farming the same livestock species and Euclidian distance between farms. The novel approach we used supports the hypothesis that livestock movement is indeed a significant contributor to farm-to-farm transmission of MAP. Copyright © 2016 Elsevier B.V. All rights reserved.

  16. Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking

    Directory of Open Access Journals (Sweden)

    Hiekata Takashi

    2006-01-01

    Full Text Available A new two-stage blind source separation (BSS method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO-model-based independent component analysis (ICA and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enables us to separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources in their original form at the microphones. Thus, the separated signals of SIMO-model-based ICA can maintain the spatial qualities of each sound source. Owing to this attractive property, our novel SIMO-model-based binary masking can be applied to efficiently remove the residual interference components after SIMO-model-based ICA. The experimental results reveal that the separation performance can be considerably improved by the proposed method compared with that achieved by conventional BSS methods. In addition, the real-time implementation of the proposed BSS is illustrated.

  17. Agro-ecological system analysis (AESA) and farm plannning

    DEFF Research Database (Denmark)

    Vaarst, Mette; Nalunga, Jane

    2016-01-01

    Organic agriculture is based on knowledge, insight and whole farm approaches. The farming system must work for each farmer family. Crop rotation cycles must be based on planning ahead, sometimes more than 2 years, so that different elements of the farm can work together. Intercropping must be bas...

  18. Dynamic chest image analysis: model-based pulmonary perfusion analysis with pyramid images

    Science.gov (United States)

    Liang, Jianming; Haapanen, Arto; Jaervi, Timo; Kiuru, Aaro J.; Kormano, Martti; Svedstrom, Erkki; Virkki, Raimo

    1998-07-01

    The aim of the study 'Dynamic Chest Image Analysis' is to develop computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected at different phases of the respiratory/cardiac cycles in a short period of time. We have proposed a framework for ventilation study with an explicit ventilation model based on pyramid images. In this paper, we extend the framework to pulmonary perfusion study. A perfusion model and the truncated pyramid are introduced. The perfusion model aims at extracting accurate, geographic perfusion parameters, and the truncated pyramid helps in understanding perfusion at multiple resolutions and speeding up the convergence process in optimization. Three cases are included to illustrate the experimental results.

  19. Analysis of Competitiveness and Government Policy on Rice, Corn and Soybean Farming

    Directory of Open Access Journals (Sweden)

    Prasetyo Ari Bowo

    2016-10-01

    Full Text Available Rice, corn and soybean is the strategic commodities and the government always maintains their availability. Indonesia still imports rice, corn and soybean and implements the policy of tariffs, taxes and subsidies on rice, corn, soybean imports and farming inputs. Central Java is the main producer of rice, corn and soybean with the contibution of Gross Regional Domestic Product of the food crop sub-sector to the highest Provincial GRDP in Indonesian. This research examines the competitiveness and the government policy towards rice, corn and soybean farming in Central Java Province. It uses secondary data of Farming Economic Analysis from the relevant agencies and scientific publications on the international price of rice, corn and soybean that is analyzed using the quantitative descriptive method with analysis tool of Policy Analysis Matrix (PAM. The PAM result shows that the rice farming in Cilacap Regency and the corn farming in Grobogan Regency have competitive and comparative advantage. The soybean farming in Grobogan only has a comparative advantage. Overall the government policies are protective towards the rice farming in Cilacap, but not protective towards the corn and soybean farming in Grobogan. The sensitivity analysis shows that the advantages and competitiveness of the rice farming in Cilacap and the corn and soybean farming in Grobogan are sensitive towards the international price changes of commodities and fertilizers, the labor cost changes, the exchange rate fluctuations of Rupiah towards USD, and the import tariff changes of commodities.

  20. Risk analysis of investments in-farm milk cooling tanks

    Directory of Open Access Journals (Sweden)

    Sant´Anna Danielle D.

    2003-01-01

    Full Text Available A risk analysis for the installation of milk cooling tanks (250, 500 and 1,000 L on Brazilian rural properties was conducted in this study. The results showed that all investments had a return higher than the annual 12% minimum rate of attractiveness. There was a direct relationship between tank size and investment profitability and an inverse relation between size and risk. The probability of achieving returns lower than the opportunity cost was highest for the smallest tank (42%. In order to make the investment in small cooling tanks more attractive, the dairy industry incentives offered to farmers for supplying cooled milk could be increased. However, this approach might make investments in bulk milk collection by dairy companies infeasible. Thus, a recommendable strategy for a successful modernization of the Brazilian dairy sector?s inbound logistics would be to promote an increase in the volume of the milk produced per farm.

  1. Simulation analysis of a wind farm with different aggregated models

    DEFF Research Database (Denmark)

    Li, H.; Wang, H.; Zhao, B.

    2011-01-01

    Based on a wind farm including wind turbines with squirrel cage induction generators (SCIGs), different aggregated models of a wind farm, such as a single weighted average model, a reduced-order re-scaled model, a parameter transformed model and a single weighted arithmetic model were presented......, as well as the detailed SCIG wind turbine model. Regarding for the two cases of a wind farm including SCIGs with identical parameters and different parameters, the dynamic characteristics and transient performances of the presented wind farm using different aggregated models were studied and compared...

  2. Towards a Method for Combined Model-based Testing and Analysis

    DEFF Research Database (Denmark)

    Nielsen, Brian

    Efficient and effective verification and validation of complex embedded systems is challenging, and requires the use of various tools and techniques, such as model-based testing and analysis. The aim of this paper is to devise an overall \\method{} for how analysis and testing may be used in combi...... interesting combinations and workflows, but also that formulation of more specific combination patterns will be useful to encourage future tool collaborations....

  3. Model-Based Network Meta-Analysis: A Framework for Evidence Synthesis of Clinical Trial Data.

    Science.gov (United States)

    Mawdsley, D; Bennetts, M; Dias, S; Boucher, M; Welton, N J

    2016-08-01

    Model-based meta-analysis (MBMA) is increasingly used in drug development to inform decision-making and future trial designs, through the use of complex dose and/or time course models. Network meta-analysis (NMA) is increasingly being used by reimbursement agencies to estimate a set of coherent relative treatment effects for multiple treatments that respect the randomization within the trials. However, NMAs typically either consider different doses completely independently or lump them together, with few examples of models for dose. We propose a framework, model-based network meta-analysis (MBNMA), that combines both approaches, that respects randomization, and allows estimation and prediction for multiple agents and a range of doses, using plausible physiological dose-response models. We illustrate our approach with an example comparing the efficacies of triptans for migraine relief. This uses a binary endpoint, although we note that the model can be easily modified for other outcome types.

  4. Simulation analysis of a wind farm with different aggregated models

    DEFF Research Database (Denmark)

    Li, H.; Wang, H.; Zhao, B.

    2011-01-01

    , as well as the detailed SCIG wind turbine model. Regarding for the two cases of a wind farm including SCIGs with identical parameters and different parameters, the dynamic characteristics and transient performances of the presented wind farm using different aggregated models were studied and compared...

  5. Model based fault diagnosis in a centrifugal pump application using structural analysis

    DEFF Research Database (Denmark)

    Kallesøe, C. S.; Izadi-Zamanabadi, Roozbeh; Rasmussen, Henrik;

    2004-01-01

    A model based approach for fault detection and isolation in a centrifugal pump is proposed in this paper. The fault detection algorithm is derived using a combination of structural analysis, Analytical Redundant Relations (ARR) and observer designs. Structural considerations on the system are use...... it to an industrial benchmark. The benchmark tests have shown that the algorithm is capable of detection and isolation of five different faults in the mechanical and hydraulic parts of the pump.......A model based approach for fault detection and isolation in a centrifugal pump is proposed in this paper. The fault detection algorithm is derived using a combination of structural analysis, Analytical Redundant Relations (ARR) and observer designs. Structural considerations on the system are used...

  6. Model Based Fault Diagnosis in a Centrifugal Pump Application using Structural Analysis

    DEFF Research Database (Denmark)

    Kallesøe, C. S.; Izadi-Zamanabadi, Roozbeh; Rasmussen, Henrik;

    2004-01-01

    A model based approach for fault detection and isolation in a centrifugal pump is proposed in this paper. The fault detection algorithm is derived using a combination of structural analysis, Analytical Redundant Relations (ARR) and observer designs. Structural considerations on the system are use...... it to an industrial benchmark. The benchmark tests have shown that the algorithm is capable of detection and isolation of five different faults in the mechanical and hydraulic parts of the pump.......A model based approach for fault detection and isolation in a centrifugal pump is proposed in this paper. The fault detection algorithm is derived using a combination of structural analysis, Analytical Redundant Relations (ARR) and observer designs. Structural considerations on the system are used...

  7. A model-based systems approach to pharmaceutical product-process design and analysis

    DEFF Research Database (Denmark)

    Gernaey, Krist; Gani, Rafiqul

    2010-01-01

    This is a perspective paper highlighting the need for systematic model-based design and analysis in pharmaceutical product-process development. A model-based framework is presented and the role, development and use of models of various types are discussed together with the structure of the models...... for the product and the process. The need for a systematic modelling framework is highlighted together with modelling issues related to model identification, adaptation and extension. In the area of product design and analysis, predictive models are needed with a wide application range. In the area of process...... synthesis and design, the use of generic process models from which specific process models can be generated, is highlighted. The use of a multi-scale modelling approach to extend the application range of the property models is highlighted as well. Examples of different types of process models, model...

  8. Model-based Computer Aided Framework for Design of Process Monitoring and Analysis Systems

    DEFF Research Database (Denmark)

    Singh, Ravendra; Gernaey, Krist; Gani, Rafiqul

    2009-01-01

    -aided framework including the methods and tools through which the design of monitoring and analysis systems for product quality control can be generated, analyzed and/or validated, has been developed. Two important supporting tools developed as part of the framework are a knowledge base and a model library...... subject to the maintenance constraints of the desired product quality. The application of the model-based framework is highlighted through a case study involving the operation of a fermentation process.......In the manufacturing industry, for example, the pharmaceutical industry, a thorough understanding of the process is necessary in addition to a properly designed monitoring and analysis system (PAT system) to consistently obtain the desired end-product properties. A model-based computer...

  9. Long-Term Impact of the Farm Financial Analysis Training Curriculum on FSA Borrowers in Pennsylvania

    Science.gov (United States)

    Balliet, Kenneth L.; Douglass, Mark B.; Hanson, Gregory

    2010-01-01

    The Farm Financial Analysis Training (FFAT) course covers fundamental skills and concepts in liquidity, profitability, solvency, and efficiency. The research reported here identifies and measures the impacts of FFAT on participants including: 1) perceived gains in knowledge, 2) changes in management behavior, 3) changes in specific farm assets and…

  10. Study on Development Strategy of DIY Farm Based on SWOT Analysis

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    SWOT analysis method is adopted to analyze current development situations of DIY farms in China from strengths, weaknesses, opportunities and threats. On the basis of analyses, we put forward strategies for sustainable development of DIY farms, including market investigation and research, full utilization of resources, human-based management, diversified and characteristic services, as well as low price and public-oriented development, etc.

  11. A Web-Based Collaborative System for Remote Monitoring and Analysis of Livestock Farm Odours

    NARCIS (Netherlands)

    Liu, R.; Pan, L. L.; Yang, S. X.

    2009-01-01

    Monitoring and analysis of livestock farm environments require collection and management of large amount of data from distributed farms. There is an increasing demand for collaboration among livestock producers, environment agencies and governments. This paper presents a collaborative system for mon

  12. Long-Term Impact of the Farm Financial Analysis Training Curriculum on FSA Borrowers in Pennsylvania

    Science.gov (United States)

    Balliet, Kenneth L.; Douglass, Mark B.; Hanson, Gregory

    2010-01-01

    The Farm Financial Analysis Training (FFAT) course covers fundamental skills and concepts in liquidity, profitability, solvency, and efficiency. The research reported here identifies and measures the impacts of FFAT on participants including: 1) perceived gains in knowledge, 2) changes in management behavior, 3) changes in specific farm assets and…

  13. Statistical Analysis and Comparison of Harmonics Measured in Offshore Wind Farms

    DEFF Research Database (Denmark)

    Kocewiak, Lukasz Hubert; Hjerrild, Jesper; Bak, Claus Leth

    2011-01-01

    and shows sophisticated analysis on representative harmonic measurements from Avedøre Holme, Gunfleet Sands and Burbo Bank wind farms. The nature of generation and behavior of harmonic components in offshore wind farms clearly presented and explained based on probabilistic approach. Some issues regarding...

  14. Farm-economic analysis of reducing antimicrobial use whilst adopting improved management strategies on farrow-to-finish pig farms.

    Science.gov (United States)

    Rojo-Gimeno, Cristina; Postma, Merel; Dewulf, Jeroen; Hogeveen, Henk; Lauwers, Ludwig; Wauters, Erwin

    2016-07-01

    Due to increasing public health concerns that food animals could be reservoirs for antibiotic resistant organisms, calls for reduced current antibiotic use on farms are growing. Nevertheless, it is challenging for farmers to perform this reduction without negatively affecting technical and economic performance. As an alternative, improved management practices based on biosecurity and vaccinations have been proven useful to reduce antimicrobial use without lowering productivity, but issues with insufficient experimental design possibilities have hindered economic analysis. In the present study a quasi-experimental approach was used for assessing the economic impact of reduction of antimicrobial use coupled with improved management strategies, particularly biosecurity strategies. The research was performed on farrow-to-finish pig farms in Flanders (northern region of Belgium). First, to account for technological progress and to avoid selection bias, propensity score analysis was used to compare data on technical parameters. The treatment group (n=48) participated in an intervention study whose aim was to improve management practices to reduce the need for use of antimicrobials. Before and after the change in management, data were collected on the technical parameters, biosecurity status, antimicrobial use, and vaccinations. Treated farms were matched without replacement with control farms (n=69), obtained from the Farm Accountancy Data Network, to estimate the difference in differences (DID) of the technical parameters. Second, the technical parameters' DID, together with the estimated costs of the management intervention and the price volatility of the feed, meat of the finisher pigs, and piglets served as a basis for modelling the profit of 11 virtual farrow-to-finish pig farms representative of the Flemish sector. Costs incurred by new biosecurity measures (median +€3.96/sow/year), and new vaccinations (median €0.00/sow/year) did not exceed the cost reduction

  15. Agro-ecological system analysis (AESA) and farm plannning

    DEFF Research Database (Denmark)

    Vaarst, Mette; Nalunga, Jane

    2016-01-01

    Organic agriculture is based on knowledge, insight and whole farm approaches. The farming system must work for each farmer family. Crop rotation cycles must be based on planning ahead, sometimes more than 2 years, so that different elements of the farm can work together. Intercropping must be based...... on knowledge on which crops support each other. The surrounding nature must be considered in the planning, e.g. rainfall, animals in the environment, where some of them can be predators and some can eat the crops. Herbs and weeds can prove to be valuable sources of nutrients, medicine or bio-pesticides....

  16. Farm-Specific Risk Analysis in Dairy Farming: A Case Study from Turkey

    Directory of Open Access Journals (Sweden)

    Hatice Kizilay

    2016-07-01

    Full Text Available The purposes of this study were to determine the socio-economic characteristics of dairy farmers in Antalya, in Turkey, calculate the gross income, variable costs and gross margin of dairy farms, determine the probability distributions of consequences for alternative decisions to enable dairy farmers as decision makers to make a good and well-informed choice, to determine cross effects of milk prices variations on the productive strategy of dairy farms. The data were gathered via face to face interviews in Korkuteli, Dosemealtı, Elmalı, Manavgat and Serik counties of Antalya province in Turkey. The survey study was conducted with 80 farmers, who were member of Dairy Cow Breaders Union, in the 2011 production period. In this study, on the basis of previous experience, dairy farmers assigned minimum, maximum and most likely values of milk price and yield over the next period of 5 years. Then, triangular and cumulative distributions were defined by using these values. Moreover, Monte Carlo Stochastic Simulation model was developed to obtain distribution of expected gross margin per cow. The model and triangular and cumulative distributions were built in Excel with @Risk add-in software. The relationship of mean risk aversion coefficient, calculated by using negative exponential function, with both average gross margin and gross margin standard deviation values determined for each farm was examined. The results show that the relation between average gross margin and mean risk aversion coefficient was negative and significant at 5% level. But, although the relation between gross margin standard deviation and mean risk aversion coefficient was found to be negative, it was not significant at 5% level.

  17. Wind farm electrical power production model for load flow analysis

    Energy Technology Data Exchange (ETDEWEB)

    Segura-Heras, Isidoro; Escriva-Escriva, Guillermo; Alcazar-Ortega, Manuel [Institute for Energy Engineering, Universidad Politecnica de Valencia, Camino de Vera, s/n, edificio 8E, escalera F, 2a planta, 46022 Valencia (Spain)

    2011-03-15

    The importance of renewable energy increases in activities relating to new forms of managing and operating electrical power: especially wind power. Wind generation is increasing its share in the electricity generation portfolios of many countries. Wind power production in Spain has doubled over the past four years and has reached 20 GW. One of the greatest problems facing wind farms is that the electrical power generated depends on the variable characteristics of the wind. To become competitive in a liberalized market, the reliability of wind energy must be guaranteed. Good local wind forecasts are therefore essential for the accurate prediction of generation levels for each moment of the day. This paper proposes an electrical power production model for wind farms based on a new method that produces correlated wind speeds for various wind farms. This method enables a reliable evaluation of the impact of new wind farms on the high-voltage distribution grid. (author)

  18. Radiological Source Terms for Tank Farms Safety Analysis

    Energy Technology Data Exchange (ETDEWEB)

    COWLEY, W.L.

    2000-06-27

    This document provides Unit Liter Dose factors, atmospheric dispersion coefficients, breathing rates and instructions for using and customizing these factors for use in calculating radiological doses for accident analyses in the Hanford Tank Farms.

  19. Nutrient management strategies on Dutch dairy farms : an empirical analysis

    NARCIS (Netherlands)

    Ondersteijn, C.J.M.

    2002-01-01

    Key Words: MINAS; nitrogen surplus; phosphate surplus; nutrient efficiency; nutrient productivity; financial consequences; strategic management; perceived environmental uncertainty; nutrient management planning; dairy farming; The Netherlands.Agricultural nutrients are a possible pollutant of (groun

  20. Nutrient management strategies on Dutch dairy farms: an empirical analysis

    NARCIS (Netherlands)

    Ondersteijn, C.J.M.

    2002-01-01

    Key Words: MINAS; nitrogen surplus; phosphate surplus; nutrient efficiency; nutrient productivity; financial consequences; strategic management; perceived environmental uncertainty; nutrient management planning; dairy farming; The Netherlands.

    Agricultural nutrients are a

  1. An Analysis of the Political Propaganda in Animal Farm

    Institute of Scientific and Technical Information of China (English)

    刘佩佩

    2015-01-01

    In Animal Farm,Napoleon and his assistants use the technique of political propaganda to cheat other animals so that other animals will be docile and support his dominion.In current society,political propaganda is still an important part of politics in a country.This paper has analyzed Animal Farm from the aspect of the technique of political propaganda and pointed out the modern significance of the technique.

  2. Exploring GPS Data for Operational Analysis of Farm Machinery

    Directory of Open Access Journals (Sweden)

    Ramin Shamshiri

    2013-04-01

    Full Text Available Global Positioning System (GPS has made a great evolution in different aspects of modern agricultural sectors. Today, a growing number of crop producers are using GPS and other modern electronic and computer equipments to practice Site Specific Management (SSM and precision agriculture. This technology has the potential in agricultural mechanization by providing farmers with a sophisticated tool to measure yield on much smaller scales as well as precisely determination and automatic storing of variables such as field time, working area, machine travel distance and speed, fuel consumption and yield information. This study focuses on how to interpret and process raw GPS data for operational analysis of farm machinery. Exact determinations of field activities using GPS data along with accurate measurements and records of yield provide an integrated tool to calculate field efficiency and field machine index which in turn increases machine productivity and labor saving. The results can also provide graphical tools for visualizing machine operator’s performance as well as making decision on field and machine size and selection.

  3. Use of Model-Based Design Methods for Enhancing Resiliency Analysis of Unmanned Aerial Vehicles

    Science.gov (United States)

    Knox, Lenora A.

    The most common traditional non-functional requirement analysis is reliability. With systems becoming more complex, networked, and adaptive to environmental uncertainties, system resiliency has recently become the non-functional requirement analysis of choice. Analysis of system resiliency has challenges; which include, defining resilience for domain areas, identifying resilience metrics, determining resilience modeling strategies, and understanding how to best integrate the concepts of risk and reliability into resiliency. Formal methods that integrate all of these concepts do not currently exist in specific domain areas. Leveraging RAMSoS, a model-based reliability analysis methodology for Systems of Systems (SoS), we propose an extension that accounts for resiliency analysis through evaluation of mission performance, risk, and cost using multi-criteria decision-making (MCDM) modeling and design trade study variability modeling evaluation techniques. This proposed methodology, coined RAMSoS-RESIL, is applied to a case study in the multi-agent unmanned aerial vehicle (UAV) domain to investigate the potential benefits of a mission architecture where functionality to complete a mission is disseminated across multiple UAVs (distributed) opposed to being contained in a single UAV (monolithic). The case study based research demonstrates proof of concept for the proposed model-based technique and provides sufficient preliminary evidence to conclude which architectural design (distributed vs. monolithic) is most resilient based on insight into mission resilience performance, risk, and cost in addition to the traditional analysis of reliability.

  4. The Qualitative and Numerical Analysis of the Cosmological Model Based on Phantom Scalar Field with Self

    CERN Document Server

    Ignat'ev, Yu G

    2016-01-01

    In this paper we investigate the asymptotic behavior of the cosmological model based on phantom scalar field on the ground of qualitative analysis of the system of the cosmological model's differential equations and show that as opposed to models with classical scalar field, such models have stable asymptotic solutions with constant value of the potential both in infinite past and infinite future. We also develop numerical models of the cosmological evolution models with phantom scalar field in this paper. {\\bf keywords}: cosmological model, phantom scalar field, quality analysis, asymptotic behavior, numerical simulation, numerical gravitation.\\\\ {\\bf PACS}: 04.20.Cv, 98.80.Cq, 96.50.S 52.27.Ny

  5. Detector : knowledge-based systems for dairy farm management support and policy-analysis; methods and applications.

    NARCIS (Netherlands)

    Hennen, W.H.G.J.

    1995-01-01

    This thesis describes new methods and knowledge-based systems for the analysis of technical and economic accounting data from the year-end records of individual dairy farms to support the management and, after adaptation, for policy analysis.A new method for farm comparison, the farm-adjusted standa

  6. Model-based analysis and reasoning in science: The MARS curriculum

    Science.gov (United States)

    Raghavan, Kalyani; Glaser, Robert

    Scientists and researchers in many disciplines frequently resort to modeling and model-based reasoning to concretize abstract ideas, to simplify and clarify complex phenomena, to predict trends, and to explain mechanisms and processes. National projects working to reform science education explicitly recommend the development of an appreciation for the centrality of models in the teaching and learning of science. This article describes a model-centered, computer-supported, semester-long science curriculum for middle-school students designed to encourage conceptual understanding and to foster the development of model-based reasoning skills. In the Model-based Analysis and Reasoning in Science (MARS) project, an attempt is made to create an environment conducive to fostering conceptual understanding and reasoning about scientific phenomena that involve balance of forces. Visual models that are dynamic and interactive are presented not only to concretize abstract ideas but also as reasoning tools that give students the leverage to solve problems in a variety of contexts. This model-centered curriculum focuses on a network of concepts important for understanding hydrostatics; that is, floating and sinking, as an exemplar for the general principle of balance of forces. How students understand these concepts and use models as a disciplinary resource to engage in chains of reasoning that integrate concepts into networks of relations is of special interest for study. How students use that understanding in new situations within the same explanatory system is also being studied. A major pedagogical question is how middle-school students can be taught to engage in model-based reasoning, a form of reasoning that scientists routinely use.

  7. Descriptive and social network analysis of pig transport data recorded by quality assured pig farms in the UK.

    Science.gov (United States)

    Smith, R P; Cook, A J C; Christley, R M

    2013-02-01

    The aim of this study was to examine farm-to-farm pig movement connections, and the usage of hauliers and abattoirs, for farms in the United Kingdom (UK), to determine the interconnectivity of the pig farm network and the implications this may have for the transmission and control of Salmonella, which was chosen as an example of an important endemic disease. Data were collected from three Quality Assurance Schemes on the use of abattoirs and livestock hauliers by commercial pig farms, and the supply of pigs to and from farms. The observed dataset had considerable variability in the number of direct (farm-to-farm) and indirect (via hauliers or abattoirs) connections between each farm over a 12-month period. The use of multiple hauliers and abattoirs by many farms resulted in considerable interconnectivity between farms due to these indirect routes. The network displayed a higher level of clustering, and short network distances between farms, than that shown by equivalent randomly generated datasets, indicating that infectious diseases might transmit quickly amongst farms but within certain clusters of farms, thus limiting the total number of farms affected. This structure and the occurrence of multiple indirect routes between many pairs of farms (via pig movements to other interconnected farms or from hauliers used by both farms), may indicate that targeting surveillance and controls on those farms with high network centrality characteristics (degree, betweenness) alone would not prove effective. Encouraging all farms within the network to reduce the number of connections might be a useful way of reducing Salmonella prevalence as it would reduce the effect of high prevalence on other farms within the network. The analysis also highlighted differences in the connections between geographical regions that were used to discuss the comparatively low Salmonella prevalence in Scotland detected by previous studies. Farms identified as belonging to large companies, as

  8. Up-to-date and precise estimates of cancer patient survival: model-based period analysis.

    Science.gov (United States)

    Brenner, Hermann; Hakulinen, Timo

    2006-10-01

    Monitoring of progress in cancer patient survival by cancer registries should be as up-to-date as possible. Period analysis has been shown to provide more up-to-date survival estimates than do traditional methods of survival analysis. However, there is a trade-off between up-to-dateness and the precision of period estimates, in that increasing the up-to-dateness of survival estimates by restricting the analysis to a relatively short, recent time period, such as the most recent calendar year for which cancer registry data are available, goes along with a loss of precision. The authors propose a model-based approach to maximize the up-to-dateness of period estimates at minimal loss of precision. The approach is illustrated for monitoring of 5-year relative survival of patients diagnosed with one of 20 common forms of cancer in Finland between 1953 and 2002 by use of data from the nationwide Finnish Cancer Registry. It is shown that the model-based approach provides survival estimates that are as up-to-date as the most up-to-date conventional period estimates and at the same time much more precise than the latter. The modeling approach may further enhance the use of period analysis for deriving up-to-date cancer survival rates.

  9. A REGIONAL ANALYSIS OF THE USE OF TRACTORS ON MODEL FARMS PRODUCING ENERGY CROPS

    Directory of Open Access Journals (Sweden)

    Benedykt Pepliński

    2015-06-01

    Full Text Available The potential area of energy crops in Poland is estimated at 1.0–4.5 million ha. The decrease in the prices of energy reduces the high pressure to cut the costs of biomass production. The aim of this study is an analysis of the use of tractors on model farms producing energy crops, which have different areas, intensity of production and quality of soils from different regions of Poland. The use of tractors increased along with the farm area, the soil quality and production intensity. The use of tractors on the smallest farms is low, so they should buy old tractors. A large share of crops for biogas leads to the situation where it takes 20–30 years of work for tractors to achieve full wear of 12,000 hours on farms with 130 ha of farmland, whereas it takes only 8–14 years on farms with 600 and 1500 ha of farmland. Regional differences in the use of tractors increased along with the farm area from 4.7–5.7% on the smallest farms to 10.1–14.8% on the largest farms.

  10. Comparing risk in conventional and organic dairy farming in the Netherlands: an empirical analysis.

    Science.gov (United States)

    Berentsen, P B M; Kovacs, K; van Asseldonk, M A P M

    2012-07-01

    This study was undertaken to contribute to the understanding of why most dairy farmers do not convert to organic farming. Therefore, the objective of this research was to assess and compare risks for conventional and organic farming in the Netherlands with respect to gross margin and the underlying price and production variables. To investigate the risk factors a farm accountancy database was used containing panel data from both conventional and organic representative Dutch dairy farms (2001-2007). Variables with regard to price and production risk were identified using a gross margin analysis scheme. Price risk variables were milk price and concentrate price. The main production risk variables were milk yield per cow, roughage yield per hectare, and veterinary costs per cow. To assess risk, an error component implicit detrending method was applied and the resulting detrended standard deviations were compared between conventional and organic farms. Results indicate that the risk included in the gross margin per cow is significantly higher in organic farming. This is caused by both higher price and production risks. Price risks are significantly higher in organic farming for both milk price and concentrate price. With regard to production risk, only milk yield per cow poses a significantly higher risk in organic farming. Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  11. Load flow analysis for variable speed offshore wind farms

    DEFF Research Database (Denmark)

    Chen, Zhe; Zhao, Menghua; Blaabjerg, Frede

    2009-01-01

    A serial AC-DC integrated load flow algorithm for variable speed offshore wind farms is proposed. It divides the electrical system of a wind farm into several local networks, and different load flow methods are used for these local networks sequentially. This method is fast, more accurate, and many...... and integrated into the load flow algorithm: one takes into account the control strategy of converters and the other considers the power losses of converters. In addition, different types of variable speed wind turbine systems with different control methods are investigated. Finally, the method is demonstrated...

  12. [Predicting suicide or predicting the unpredictable in an uncertain world: Reinforcement Learning Model-Based analysis].

    Science.gov (United States)

    Desseilles, Martin

    2012-01-01

    In general, it appears that the suicidal act is highly unpredictable with the current scientific means available. In this article, the author submits the hypothesis that predicting suicide is complex because it results in predicting a choice, in itself unpredictable. The article proposes a Reinforcement learning model-based analysis. In this model, we integrate on the one hand, four ascending modulatory neurotransmitter systems (acetylcholine, noradrenalin, serotonin, and dopamine) with their regions of respective projections and afferences, and on the other hand, various observations of brain imaging identified until now in the suicidal process.

  13. VALUE ENGINEERING ANALYSIS APPRAISAL FOR FARM MANAGEMENT: A CASE STUDY OF PISTACHIO FARM

    Directory of Open Access Journals (Sweden)

    A. Mostafaeipour

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: Value engineering (VE has been effectively applied in many different areas. The results have been very encouraging, and many companies accept VE not only as a tool to reduce costs, but also to improve the quality of their produce and streamline their systems. This paper attempts to highlight the application of VE in agriculture, as in pistachio tree farms in Iran. It is found that by implementing VE, unnecessary cultivation costs are lowered. Many of the other factors that lead to the inefficient use of resources could be resolved. In this study, the province of Yazd Iran was studied. Unfortunately there are cases of mismanagement and problems in agriculture management; and the problems must be resolved to make the system of pistachio growing more efficient. The prime objective of this paper is to introduce the concept of value engineering and highlight its application in pistachio farms. The results suggest that it is essential to use Indian Neem pesticide, because it is economically feasible and environmentally friendly to pistachio trees.

    AFRIKAANSE OPSOMMING: Waarde-Ingenieurswese (WI word reeds doeltreffend toegepas op verskeie gebiede. Die resultate is sodanig bemoedigend dat maatskappye WI aanvaar as ‘n hulpmiddel vir kosteverlaging sowel as vir die verbetering van kwaliteit van opbrengs en stroombelyning van prosesse. Die artikel poog om die toepassing van WI op die landbou van Iran na vore te bring. Dit toon dat onnodige verbouingskoste verlaag word met die implementering van WI. Talle ander faktore wat ook bydra tot ondoeltreffende gebruik van hulpbronne word ook deur WI aangespreek. Die Yazd-provinsie van Iran word in die artikel bestudeer. Ten einde die verbouingsproses van pistasieneute meer doeltreffend te maak moet wanbestuur en probleme van landboubestuur aangespreek word. Die hoofdoelwit van die artikel is om die konsep van WI bekend te stel en die toepassing daarvan op pistasieboerderye uit te lig

  14. Model-based security analysis of the German health card architecture.

    Science.gov (United States)

    Jürjens, J; Rumm, R

    2008-01-01

    Health-care information systems are particularly security-critical. In order to make these applications secure, the security analysis has to be an integral part of the system design and IT management process for such systems. This work presents the experiences and results from the security analysis of the system architecture of the German Health Card, by making use of an approach to model-based security engineering that is based on the UML extension UMLsec. The focus lies on the security mechanisms and security policies of the smart-card-based architecture which were analyzed using the UMLsec method and tools. Main results of the paper include a report on the employment of the UMLsec method in an industrial health information systems context as well as indications of its benefits and limitations. In particular, two potential security weaknesses were detected and countermeasures discussed. The results indicate that it can be feasible to apply a model-based security analysis using UMLsec to an industrial health information system like the German Health Card architecture, and that doing so can have concrete benefits (such as discovering potential weaknesses, and an increased confidence that no further vulnerabilities of the kind that were considered are present).

  15. Performance analysis of photovoltaic plants installed in dairy cattle farms

    Directory of Open Access Journals (Sweden)

    Remo Alessio Malagnino

    2015-06-01

    Full Text Available Electric production from renewable resources, such as solar photovoltaic (PV, is playing an increasingly essential role in the agricultural industry because of the progressive increase in the energy price from fossil fuels and the simultaneous decrease in the income deriving from farming activities. A central issue in the sustainable diffusion of PV technologies is represented by the actual energy efficiency of a PV system. For these reasons, a performance analysis has been carried out in order to assess the potentials offered by different PV plants within a defined geographical context with the aim of investigating the impact of each component has on the PV generator global efficiency and defining the main technical parameters that allow to maximise the annual specific electric energy yield of an architectonically integrated plant, installed in a dairy house, compared to a ground-mounted plant. The annual performances of three grid connected PV plants installed in the same dairy cattle farm have been analysed: two are architectonically integrated plants - i.e., a rooftop unidirectional and a multi-field systems (both 99 kWp - and the other is a ground-mounted plant (480 kWp. Furthermore, the electrical performances, estimated by the photovoltaic geographical information system (PVGIS, developed by the EU Joint Research Centre, and by an analytical estimation procedure (AEP, developed on the basis of a meteo-climatic database related to the records of the nearest weather station and integrated by the components’ technical specifications, have been compared with the actual yields. The best annual performance has been given by the ground-mounted PV system, with an actual increase of 26% and in the range of 6÷12% according to different estimations, compared to the integrated systems, which were globally less efficient (average total loss of 26÷27% compared to 24% of the ground-mounted system. The AEP and PVGIS software estimates showed a good

  16. Analysis of the Emergence in Swarm Model Based on Largest Lyapunov Exponent

    Directory of Open Access Journals (Sweden)

    Yu Wu

    2011-01-01

    Full Text Available Emergent behaviors of collective intelligence systems, exemplified by swarm model, have attracted broad interests in recent years. However, current research mostly stops at observational interpretations and qualitative descriptions of emergent phenomena and is essentially short of quantitative analysis and evaluation. In this paper, we conduct a quantitative study on the emergence of swarm model by using chaos analysis of complex dynamic systems. This helps to achieve a more exact understanding of emergent phenomena. In particular, we evaluate the emergent behaviors of swarm model quantitatively by using the chaos and stability analysis of swarm model based on largest Lyapunov exponent. It is concluded that swarm model is at the edge of chaos when emergence occurs, and whether chaotic or stable at the beginning, swarm model will converge to stability with the elapse of time along with interactions among agents.

  17. Model-based design and analysis of glucose isomerization process operation

    DEFF Research Database (Denmark)

    Papadakis, Emmanouil; Pedersen, Sven; Kumar Tula, Anjan

    2017-01-01

    reactor is developed. Next, model analysis, model identification and model validation based on available reactor operational data are performed. The reactor model is found to describe accurately important phenomena, such as, reaction kinetics, enzyme decay and internal diffusion of the substrate......The application of model-based methods for design and analysis of operational improvements of an industrial glucose isomerization (GI) process is highlighted. First, a multi-scale mathematical model representing important phenomena encountered in the reaction system of a glucose isomerization...... in the enzymatic pellet as a function of the temperature, thereby confirming that the model is ready for use in design-analysis studies. Operation of the GI process is then analyzed in a single reactor and based on this, the reactor model is used as a building block to represent the operation of a GI reactor plant...

  18. Does organic farming reduce environmental impacts?--a meta-analysis of European research.

    Science.gov (United States)

    Tuomisto, H L; Hodge, I D; Riordan, P; Macdonald, D W

    2012-12-15

    Organic farming practices have been promoted as, inter alia, reducing the environmental impacts of agriculture. This meta-analysis systematically analyses published studies that compare environmental impacts of organic and conventional farming in Europe. The results show that organic farming practices generally have positive impacts on the environment per unit of area, but not necessarily per product unit. Organic farms tend to have higher soil organic matter content and lower nutrient losses (nitrogen leaching, nitrous oxide emissions and ammonia emissions) per unit of field area. However, ammonia emissions, nitrogen leaching and nitrous oxide emissions per product unit were higher from organic systems. Organic systems had lower energy requirements, but higher land use, eutrophication potential and acidification potential per product unit. The variation within the results across different studies was wide due to differences in the systems compared and research methods used. The only impacts that were found to differ significantly between the systems were soil organic matter content, nitrogen leaching, nitrous oxide emissions per unit of field area, energy use and land use. Most of the studies that compared biodiversity in organic and conventional farming demonstrated lower environmental impacts from organic farming. The key challenges in conventional farming are to improve soil quality (by versatile crop rotations and additions of organic material), recycle nutrients and enhance and protect biodiversity. In organic farming, the main challenges are to improve the nutrient management and increase yields. In order to reduce the environmental impacts of farming in Europe, research efforts and policies should be targeted to developing farming systems that produce high yields with low negative environmental impacts drawing on techniques from both organic and conventional systems.

  19. Modelling Options for Policy Impact Analysis on African Dairy Farms

    Directory of Open Access Journals (Sweden)

    Oghaiki Asaah NDAMBI

    2008-01-01

    Full Text Available Studies on the priorities for agricultural research in Eastern and CentralAfrica concluded that milk is the most important commodity for research anddevelopment in the region, based on its potential contribution to the agriculturalGDP. It has been presumed that, the right policies, marketing systems and technicalsupport must be sought for dairy development in Africa. In order to determine theright development pattern, appropriate analytical tools must be applied. The TIPICAL(Technology Impact Policy Impact model was used to analyse the impact ofdifferent policies on two typical dairy farming systems in Uganda, which accountfor more than 70% of milk produced in the country. Seven influential policy areaswere also identified: provision of veterinary services, consumption promotion,marketing promotion, input provision, credit access improvement, milk qualityimprovement and genetic improvement. In general, the policy impacts are very littleon farms with local cows but can be magnified up to threefold, if the farms havegraded cows. Policies which improve farmers’ accessibility to markets have thegreatest impacts. The results obtained from this model were compared to thoseusing the EXTRAPOLATE model. This comparison shows that both models couldcomplement each other in analysing policy impacts on African dairy farms.However, differences in results from the models indicate that more focus should bemade on farmers’ willingness to adopt new technology.

  20. Youth Migration and Agricultural Production: Analysis of Farming ...

    African Journals Online (AJOL)

    PROF. MADUKWE

    poverty and search for better education in the cities were the major causes of migration. Reduction in farm size, ... (r = -0.634; p ≤ 0.01) was negatively correlated with the effects of youth migration in Osun State. .... crime rate. Theoretically ...

  1. The Analysis of Potato Farming Systems in Chencha, Ethiopia

    NARCIS (Netherlands)

    Dersseh, Waga Mazengia; Gebresilase, Yenenesh Tadesse; Schulte, R.P.O.; Struik, Paul C.

    2016-01-01

    A household survey was conducted for mixed farming systems in Chencha, Ethiopia. Goals of the survey were to establish a baseline for the current production system, to quantify the variation in input and output, and to identify constraints hindering expansion of potato production. Descriptive sta

  2. Analysis of Market Performance of Farm-Raised Clarias Gariepinus ...

    African Journals Online (AJOL)

    A multi-stage sampling technique was employed in the capital cities of the six States in South – Western Nigeria due to their level of catfish consumption by ... Farm – raised catfish (Clarias gariepinus) marketing was found to be efficient at both ...

  3. Analysis of a commercial wind farm in Taiwan

    DEFF Research Database (Denmark)

    Wang, Li; Yeh, Tai-Her; Lee, Wei-Jen

    2010-01-01

    This paper presents the effects of installing variable current-limit reactors (CLRs) and adjusting load tap changers (LTCs) on the performance of a commercial wind farm in Taiwan using computer simulations. The companion paper (Part I) demonstrates the field-measured results, simulation model, an...

  4. Analysis of a commercial wind farm in Taiwan

    DEFF Research Database (Denmark)

    Wang, Li; Yeh, Tai-Her; Lee, Wei-Jen

    2010-01-01

    This paper presents both steady-state performance and dynamic simulations of a commercial wind farm (WF) in Taiwan through field measurement results and computer simulations. The companion paper in Part II discusses the dynamic and transient analyzed results of using current-limit reactors (CLRs)...

  5. Risk analysis of tractor overturns on catfish farms.

    Science.gov (United States)

    Stephens, Walter B; Ibendahl, Gregory A; Myers, Melvin L; Cole, Henry P

    2010-10-01

    Fatal and nonfatal injuries occur on catfish farms as a result of tractor overturns, but these injuries can be greatly mitigated when a tractor is equipped with a rollover protective structure (ROPS) and seatbelt. This study analyzed the proportion of tractors on catfish farms in Mississippi not equipped with ROPS and the cost of retrofitting those tractors with a ROPS and seatbelt as compared to the expected benefits gained from adding the protection. To determine if farmers have the financial incentive to retrofit older tractors, a net present value framework was used because the expected benefits occur over a number of years. The ROPS retrofit is a one-time cost that occurs immediately, and thus the present value does not need to be calculated, i.e., time period 0. According to this study adding ROPS will provide a net benefit of $22,877 in the event of an overturn. When dealing with small farms (ROPS of $9.45 per year, whereas for large farms the net benefit is $4.70 (=125 acres). Given that the least expensive retrofit is $147, it would take 15.5 years of tractor use on the small farms for the expected benefits to outweigh the cost. Given the large range of costs that could occur due to an overturn, there could be a significant premium for not having ROPS protection. In other words, there likely is a smaller range of costs from an overturn with ROPS than without ROPS because ROPS reduces the more serious incidents.

  6. Harmonic Analysis of Offshore Wind Farms with Full Converter Wind Turbines

    DEFF Research Database (Denmark)

    Kocewiak, Lukasz Hubert; Hjerrild, Jesper; Bak, Claus Leth

    2009-01-01

    This paper presents the harmonic analysis of offshore wind farm (OWF) models with full converters represented as harmonic sources and measurement data on the point of common coupling (PCC) during normal operation. The model describes a wind farm (WF) with full rated converters installed connected....... Simulation results are compared with representative measurement data obtained from measurement campaign done in an OWF situated in United Kingdom. The problems and limitations related to present standards and practice will be discussed based on measurements from offshore wind farm....

  7. Small Signal Stability Analysis with Penetration of Grid-connected Wind Farm of PMSG Type

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    The impacts of large scale grid-connected wind farm on direct-driven permanent magnet synchronous generator (PMSG) type are discussed on the small signal stability performances of power systems. Firstly, a simplified practical model of wind farm of PMSG type is derived for analyzing small signal stability. The rotor-flux- oriented control strategy is applied to the modelling of PMSG. Secondly, the framework of small signal stability analysis incorporating wind farm of PMSG type is built. Finally, the different simulation scenarios based on the IEEE 3-generator-9-bus test system as benchmark are designed to conduct the eigenvalue analysis and to assess the impacts of wind farm of PMSG type on power system small signal stability. Some conclusions are drawn with simulation results.

  8. Analysis and Application of Mechanical System Reliability Model Based on Copula Function

    Directory of Open Access Journals (Sweden)

    An Hai

    2016-10-01

    Full Text Available There is complicated correlations in mechanical system. By using the advantages of copula function to solve the related issues, this paper proposes the mechanical system reliability model based on copula function. And makes a detailed research for the serial and parallel mechanical system model and gets their reliability function respectively. Finally, the application research is carried out for serial mechanical system reliability model to prove its validity by example. Using Copula theory to make mechanical system reliability modeling and its expectation, studying the distribution of the random variables (marginal distribution of the mechanical product’ life and associated structure of variables separately, can reduce the difficulty of multivariate probabilistic modeling and analysis to make the modeling and analysis process more clearly.

  9. Model-Based Evaluation Of System Scalability: Bandwidth Analysis For Smartphone-Based Biosensing Applications

    DEFF Research Database (Denmark)

    Patou, François; Madsen, Jan; Dimaki, Maria

    2016-01-01

    , methodologies enabling scalability analysis of multidomain, complex systems, are still missing. In acknowledgment of the importance for complex systems to present the ability to change or evolve, we present in this work a systemlevel model-based methodology allowing the multidisciplinary parametric evaluation......Scalability is a design principle often valued for the engineering of complex systems. Scalability is the ability of a system to change the current value of one of its specification parameters. Although targeted frameworks are available for the evaluation of scalability for specific digital systems......-engineering efforts for scaling a system specification efficaciously. We demonstrate the value of our methodology by investigating a smartphone-based biosensing instrumentation platform. Specifically, we carry out scalability analysis for the system’s bandwidth specification: the maximum analog voltage waveform...

  10. Prospects of Organic Farming in Bhutan: A SWOT Analysis

    Directory of Open Access Journals (Sweden)

    Sonam Tashi

    2016-01-01

    Full Text Available A study was conducted to investigate the prospects of organic agriculture (OA in Bhutan from the experts’ perspective, particularly the SWOT (strength, weakness, opportunity, and threat aspect. Thirty-five Bhutanese experts were interviewed. The strengths of OA were (i good alignment of the principles of OA with Bhutan’s development philosophy, (ii strong policy and political support, (iii pristine environment, (iv OA practices similar to traditional farming, and (v compatibility of OA with the local farming knowledge. The major weaknesses were (i a lack of awareness of the benefits of OA, (ii lack of incentives, (iii shortage of farm labor, (iv small and irregular supply of organic product, (v lack of clarity in policy, (vi limited plant protection materials, and (vii a lack of coordination between agencies. Opportunities were (i a huge regional and global organic market, (ii promoting healthy lifestyle, (iii sustainable use of resources, (iv lowering dependence on food and input imports, (v development of local organic manure suppliers, (vi creating seed sovereignty, (vii conserving local crops, (viii building soil fertility, (ix introducing premium price for organic products, and (x addressing unemployment. Threats included (i increasing incidences of pests and diseases, (ii decline in sources of organic manure, and (iii limited sources of organic manures and fertilizers.

  11. An Analysis of Competitiveness and Government Policies Impact on Development of Cocoa Farming in Indonesia

    Directory of Open Access Journals (Sweden)

    Andi Emelda

    2014-01-01

    Full Text Available Indonesian cocoa plantations from year to year increase, on the other hand decreased cocoa production andsome government policies have been carried out in order to increase exports and tried to occupy the first rank world cocoa exporting countries.This study aims to analyze (1 comparative and competitive advantages of cocoa farming in North Luwu, (2 the impact of government policies on development of cocoa farming in North Luwu.This is a descriptive analytic study. The sampling method used was purposive sampling of 40 farmers selected. Data collected through interviews, observation and documentation. Data were analyzed using the Policy Analysis Matrix (PAM.The results showed that the value of DRC and PCR of cocoa farming is respectively 0.03 and 0.04. The impact of government policies provide incentives to develop cocoa farming in North Luwu reflected NPCI value = 1.25; NPCO = 1.12, and EPC = 1.09 are all positive values.

  12. 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.

  13. Analysis of the Production and Operation Status of Silkworm Eggs Producing Farms in China——Based on Questionnaire Survey to 136 Silkworm Eggs Producing Farms Nationwide

    Institute of Scientific and Technical Information of China (English)

    Li; Jianqin; Gu; Guoda; Feng; Huaisong

    2014-01-01

    Through statistical analysis on questionnaire survey data from 136 silkworm eggs producing farms in China,it was concluded that most silkworm eggs producing farms had such problems as follows: old production facilities and poor production condition,heavy staff burden,weak scientific and technological support,small operation scale and heavy surplus production capacity; narrow silkworm eggs sale channels and stubborn regional segmentation,insufficient innovation and lack of technological support for diversified expansion. All these problems led to low labor productivity,low asset utilization rate and poor economic benefit in silkworm eggs producing farms in China. Except the provinces( regions) of Guangxi,Guangdong and Yunnan,the silkworm eggs producing farms in other provinces were generally at deficit condition. In the light of ownership,although silkworm eggs producing farms of different ownership systems were in the red,those of the private sector had the minimum deficit. Based on these findings,it is proposed to deepen system reformation of silkworm eggs producing farms,loosen control to price and circulation of silkworm eggs,implement large-scaled production and operation,speed up scientific and technological innovation,expand diversified development channels,and reinforce government support so as to increase production and operation benefits of silkworm eggs producing farms in China.

  14. Variability of African Farming Systems from Phenological Analysis of NDVI Time Series

    Science.gov (United States)

    Vrieling, Anton; deBeurs, K. M.; Brown, Molly E.

    2011-01-01

    Food security exists when people have access to sufficient, safe and nutritious food at all times to meet their dietary needs. The natural resource base is one of the many factors affecting food security. Its variability and decline creates problems for local food production. In this study we characterize for sub-Saharan Africa vegetation phenology and assess variability and trends of phenological indicators based on NDVI time series from 1982 to 2006. We focus on cumulated NDVI over the season (cumNDVI) which is a proxy for net primary productivity. Results are aggregated at the level of major farming systems, while determining also spatial variability within farming systems. High temporal variability of cumNDVI occurs in semiarid and subhumid regions. The results show a large area of positive cumNDVI trends between Senegal and South Sudan. These correspond to positive CRU rainfall trends found and relate to recovery after the 1980's droughts. We find significant negative cumNDVI trends near the south-coast of West Africa (Guinea coast) and in Tanzania. For each farming system, causes of change and variability are discussed based on available literature (Appendix A). Although food security comprises more than the local natural resource base, our results can perform an input for food security analysis by identifying zones of high variability or downward trends. Farming systems are found to be a useful level of analysis. Diversity and trends found within farming system boundaries underline that farming systems are dynamic.

  15. Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments.

    Science.gov (United States)

    van Riel, Natal A W

    2006-12-01

    Systems biology applies quantitative, mechanistic modelling to study genetic networks, signal transduction pathways and metabolic networks. Mathematical models of biochemical networks can look very different. An important reason is that the purpose and application of a model are essential for the selection of the best mathematical framework. Fundamental aspects of selecting an appropriate modelling framework and a strategy for model building are discussed. Concepts and methods from system and control theory provide a sound basis for the further development of improved and dedicated computational tools for systems biology. Identification of the network components and rate constants that are most critical to the output behaviour of the system is one of the major problems raised in systems biology. Current approaches and methods of parameter sensitivity analysis and parameter estimation are reviewed. It is shown how these methods can be applied in the design of model-based experiments which iteratively yield models that are decreasingly wrong and increasingly gain predictive power.

  16. Research and Application of a New Hybrid Forecasting Model Based on Genetic Algorithm Optimization: A Case Study of Shandong Wind Farm in China

    Directory of Open Access Journals (Sweden)

    Ping Jiang

    2015-01-01

    Full Text Available With the increasing depletion of fossil fuel and serious destruction of environment, wind power, as a kind of clean and renewable resource, is more and more connected to the power system and plays a crucial role in power dispatch of hybrid system. Thus, it is necessary to forecast wind speed accurately for the operation of wind farm in hybrid system. In this paper, we propose a hybrid model called EEMD-GA-FAC/SAC to forecast wind speed. First, the Ensemble empirical mode decomposition (EEMD can be applied to eliminate the noise of the original data. After data preprocessing, first-order adaptive coefficient forecasting method (FAC or second-order adaptive coefficient forecasting method (SAC can be employed to do forecast. It is significant to select optimal parameters for an effective model. Thus, genetic algorithm (GA is used to determine parameter of the hybrid model. In order to verify the validity of the proposed model, every ten-minute wind speed data from three observation sites in Shandong Peninsula of China and several error evaluation criteria can be collected. Through comparing with traditional BP, ARIMA, FAC, and SAC model, the experimental results show that the proposed hybrid model EEMD-GA-FAC/SAC has the best forecasting performance.

  17. Polynomial fuzzy model-based control systems stability analysis and control synthesis using membership function dependent techniques

    CERN Document Server

    Lam, Hak-Keung

    2016-01-01

    This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control systems by taking into account the characteristic and information of the membership functions in the stability analysis. The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for read...

  18. A Simulation Software for the Analysis of Cropping Systems in Livestock Farms

    Directory of Open Access Journals (Sweden)

    Tommaso Maggiore

    2011-02-01

    Full Text Available Simulation models can support quantitative and integrated analyses of agricultural systems. In this paper we describe VA.TE., a computer program developed to support the preparation and evaluation of nitrogen fertilising plans for livestock farms in the Lombardy region (northern Italy. The program integrates the cropping systems simulation model CropSyst with several regional agricultural databases, and provides the users with a simple framework for applying the model and interpreting results. VA.TE. makes good use of available data, integrating into a single relational database existing information about soils, climate, farms, animal breeds, crops and crop managements, and providing estimates of missing input variables. A simulation engine manages the entire simulation process: choice of farms to be simulated, model parameterisation, creation of model inputs, simulation of scenarios and analysis of model outputs. The program permits to apply at farm scale a model originally designed for the lower scale of homogeneous land parcel. It manages alternative simulation scenarios for each farm, helping to identify solutions to combine low nitrate losses and satisfactory crop yields. Example simulation results for three farms located on different soils and having varying levels of nitrogen surplus show that the integrated system (model + database can manage various simulations automatically, and that strategies to improve N management can be refined by analysing the simulated amounts and temporal patterns of nitrogen leaching.We conclude by discussing the issues regarding the integration of existing regional databases with simulation models.

  19. Advanced technologies for genomic analysis in farm animals and its application for QTL mapping.

    Science.gov (United States)

    Hu, Xiaoxiang; Gao, Yu; Feng, Chungang; Liu, Qiuyue; Wang, Xiaobo; Du, Zhuo; Wang, Qingsong; Li, Ning

    2009-06-01

    Rapid progress in farm animal breeding has been made in the last few decades. Advanced technologies for genomic analysis in molecular genetics have led to the identification of genes or markers associated with genes that affect economic traits. Molecular markers, large-insert libraries and RH panels have been used to build the genetic linkage maps, physical maps and comparative maps in different farm animals. Moreover, EST sequencing, genome sequencing and SNPs maps are helping us to understand how genomes function in various organisms and further areas will be studied by DNA microarray technologies and proteomics methods. Because most economically important traits in farm animals are controlled by multiple genes and the environment, the main goal of genome research in farm animals is to map and characterize genes determining QTL. There are two main strategies to identify trait loci, candidate gene association tests and genome scan approaches. In recent years, some new concepts, such as RNAi, miRNA and eQTL, have been introduced into farm animal research, especially for QTL mapping and finding QTN. Several genes that influence important traits have already been identified or are close to being identified, and some of them have been applied in farm animal breeding programs by marker-assisted selection.

  20. Technical efficiency analysis for oilseed sunflower farms: a case study in Erzurum, Turkey.

    Science.gov (United States)

    Külekçi, Murat

    2010-07-01

    The main purpose of this study was to examine the technical efficiency of farms producing sunflower in Erzurum, Turkey and to identify factors that might be causing inefficiency. Stochastic frontier analysis was used to measure technical efficiency. One hundred and seventeen randomly selected farms were interviewed for farm-level data in the 2004-2005 production period. Results revealed that the mean technical efficiency for the sunflower farms, estimated by the stochastic production frontier, is 64%. At full technical efficiency, on average, the farmers could reduce their inputs by around 56% without reducing their sunflower production, simply by improving technical efficiency. In the inefficiency model the parameter estimates showed that older farmers, higher level of farmer's education, more experienced farmers, larger farm size and higher information score resulted in lower technical inefficiency, while bigger family size and more credit usage resulted in higher technical inefficiency. This study proposes strategies such as providing better extension services and farmer-training programmes, including more educated people in sunflower farming and also expanding the sunflower-growing area through provision of adequate facilities in order to increase technical efficiency.

  1. Comparing model-based and model-free analysis methods for QUASAR arterial spin labeling perfusion quantification.

    Science.gov (United States)

    Chappell, Michael A; Woolrich, Mark W; Petersen, Esben T; Golay, Xavier; Payne, Stephen J

    2013-05-01

    Amongst the various implementations of arterial spin labeling MRI methods for quantifying cerebral perfusion, the QUASAR method is unique. By using a combination of labeling with and without flow suppression gradients, the QUASAR method offers the separation of macrovascular and tissue signals. This permits local arterial input functions to be defined and "model-free" analysis, using numerical deconvolution, to be used. However, it remains unclear whether arterial spin labeling data are best treated using model-free or model-based analysis. This work provides a critical comparison of these two approaches for QUASAR arterial spin labeling in the healthy brain. An existing two-component (arterial and tissue) model was extended to the mixed flow suppression scheme of QUASAR to provide an optimal model-based analysis. The model-based analysis was extended to incorporate dispersion of the labeled bolus, generally regarded as the major source of discrepancy between the two analysis approaches. Model-free and model-based analyses were compared for perfusion quantification including absolute measurements, uncertainty estimation, and spatial variation in cerebral blood flow estimates. Major sources of discrepancies between model-free and model-based analysis were attributed to the effects of dispersion and the degree to which the two methods can separate macrovascular and tissue signal. Copyright © 2012 Wiley Periodicals, Inc.

  2. INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis

    Science.gov (United States)

    Dottori, Francesco; Figueiredo, Rui; Martina, Mario L. V.; Molinari, Daniela; Scorzini, Anna Rita

    2016-12-01

    Methodologies to estimate economic flood damages are increasingly important for flood risk assessment and management. In this work, we present a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an expert-based approach with the support of existing scientific and technical literature, loss adjustment studies, and damage surveys carried out for past flood events in Italy. The model structure is designed to be transparent and flexible, and therefore it can be applied in different geographical contexts and adapted to the actual knowledge of hazard and vulnerability variables. The model has been tested in a recent flood event in northern Italy. Validation results provided good estimates of post-event damages, with similar or superior performances when compared with other damage models available in the literature. In addition, a local sensitivity analysis was performed in order to identify the hazard variables that have more influence on damage assessment results.

  3. Determination of farm workers' exposure to pesticides by hair analysis.

    Science.gov (United States)

    Schummer, Claude; Salquèbre, Guillaume; Briand, Olivier; Millet, Maurice; Appenzeller, Brice M R

    2012-04-25

    In the present work, a highly sensitive method based on solid phase microextraction and gas chromatography tandem (triple quadrupole) mass spectrometry was used to test hair samples for 50 pesticides including 39 molecules from different chemical families currently used in agriculture and 11 organochlorines. The population investigated was composed of 18 farm workers who provided hair samples repeatedly collected during the entire treatment period (from March to November 2009). Among the 62 hair samples that were collected, 33 different target molecules were detected. The most frequently detected agricultural pesticides were Diflufenican and Pyrimethanil, two herbicides which were detected in 13 subjects. The concentration in volunteers' hair matched with agricultural activity and the highest concentration was observed for Cyprodinil (1161pg/mg), an anilinopyrimidine used as a fungicide. For organochlorines, p,p'-DDE and γ-HCH were the most frequently detected molecules as they were present in at least one of the hair samples provided by each of the 18 volunteers. The highest concentrations detected for these chemicals reached 21.0pg/mg for p,p'-DDE and 23.5pg/mg for γ-HCH, but the highest concentration of organochlorine was observed for β-endosulfan (105pg/mg). The results suggest that farm workers have a weak, though constant exposure to organochlorine pesticides, especially to p,p'-DDE and γ-HCH, while exposure to currently used pesticides is strongly associated with occupation. Observations also suggest that spraying work would not necessarily be the only source of exposure to agricultural pesticides and that worker not directly involved in spraying can also be submitted to significant level of exposure.

  4. Inter-subject correlation in fMRI: method validation against stimulus-model based analysis.

    Directory of Open Access Journals (Sweden)

    Juha Pajula

    Full Text Available Within functional magnetic resonance imaging (fMRI, the use of the traditional general linear model (GLM based analysis methods is often restricted to strictly controlled research setups requiring a parametric activation model. Instead, Inter-Subject Correlation (ISC method is based on voxel-wise correlation between the time series of the subjects, which makes it completely non-parametric and thus suitable for naturalistic stimulus paradigms such as movie watching. In this study, we compared an ISC based analysis results with those of a GLM based in five distinct controlled research setups. We used International Consortium for Brain Mapping functional reference battery (FRB fMRI data available from the Laboratory of Neuro Imaging image data archive. The selected data included measurements from 37 right-handed subjects, who all had performed the same five tasks from FRB. The GLM was expected to locate activations accurately in FRB data and thus provide good grounds for investigating relationship between ISC and stimulus induced fMRI activation. The statistical maps of ISC and GLM were compared with two measures. The first measure was the Pearson's correlation between the non-thresholded ISC test-statistics and absolute values of the GLM Z-statistics. The average correlation value over five tasks was 0.74. The second was the Dice index between the activation regions of the methods. The average Dice value over the tasks and three threshold levels was 0.73. The results of this study indicated how the data driven ISC analysis found the same foci as the model-based GLM analysis. The agreement of the results is highly interesting, because ISC is applicable in situations where GLM is not suitable, for example, when analyzing data from a naturalistic stimuli experiment.

  5. Farming and the geography of nutrient production for human use: a transdisciplinary analysis.

    Science.gov (United States)

    Herrero, Mario; Thornton, Philip K; Power, Brendan; Bogard, Jessica R; Remans, Roseline; Fritz, Steffen; Gerber, James S; Nelson, Gerald; See, Linda; Waha, Katharina; Watson, Reg A; West, Paul C; Samberg, Leah H; van de Steeg, Jeannette; Stephenson, Eloise; van Wijk, Mark; Havlík, Petr

    2017-04-01

    Information about the global structure of agriculture and nutrient production and its diversity is essential to improve present understanding of national food production patterns, agricultural livelihoods, and food chains, and their linkages to land use and their associated ecosystems services. Here we provide a plausible breakdown of global agricultural and nutrient production by farm size, and also study the associations between farm size, agricultural diversity, and nutrient production. This analysis is crucial to design interventions that might be appropriately targeted to promote healthy diets and ecosystems in the face of population growth, urbanisation, and climate change. We used existing spatially-explicit global datasets to estimate the production levels of 41 major crops, seven livestock, and 14 aquaculture and fish products. From overall production estimates, we estimated the production of vitamin A, vitamin B12, folate, iron, zinc, calcium, calories, and protein. We also estimated the relative contribution of farms of different sizes to the production of different agricultural commodities and associated nutrients, as well as how the diversity of food production based on the number of different products grown per geographic pixel and distribution of products within this pixel (Shannon diversity index [H]) changes with different farm sizes. Globally, small and medium farms (≤50 ha) produce 51-77% of nearly all commodities and nutrients examined here. However, important regional differences exist. Large farms (>50 ha) dominate production in North America, South America, and Australia and New Zealand. In these regions, large farms contribute between 75% and 100% of all cereal, livestock, and fruit production, and the pattern is similar for other commodity groups. By contrast, small farms (≤20 ha) produce more than 75% of most food commodities in sub-Saharan Africa, southeast Asia, south Asia, and China. In Europe, west Asia and north Africa, and

  6. Analysis to develop a program for energy-integrated farm systems

    Energy Technology Data Exchange (ETDEWEB)

    Eakin, D.E.; Clark, M.A.; Inaba, L.K.; Johnson, K.I.

    1981-09-01

    A program to use renewable energy resources and possibly develop decentralization of energy systems for agriculture is discussed. The purpose of the research presented is to establish the objective of the program and identify guidelines for program development. The program's objective is determined by: (1) an analysis of the technologies that could be utilized to transform renewable farm resources to energy by the year 2000, (2) the quantity of renewable farm resources that are available, and (3) current energy-use patterns. Individual research, development, and demonstration projects are fit into a national program of energy-integrated farm systems on the basis of: (1) market need, (2) conversion potential, (3) technological opportunities, and (4) acceptability. Quantification of these factors for the purpose of establishing program guidelines is conducted using the following four precepts: (1) market need is identified by current use of energy for agricultural production; (2) conversion potential is determined by the availability of renewable resources; and (3) technological opportunities are determined by the state-of-the-art methods, techniques, and processes that can convert renewable resources into farm energy. Each of these factors is analyzed in Chapters 2 to 4. Chapter 5 draws on the analysis of these factors to establish the objective of the program and identify guidelines for the distribution of program funds. Chapter 6 then discusses the acceptability of integrated farm systems, which can not be quantified like the other factors.

  7. REVENUE ANALYSIS AND EFFICIENCY FARMING RED CHILLI IN MINGGIR DISTRIC,T SLEMAN SUB-PROVINCE

    Directory of Open Access Journals (Sweden)

    Johan Saputro

    2013-01-01

    Full Text Available Red chili farm is potentially to develops because can increase the earning of farmer, but how much the farmer earning and factors that it’s production are not known. This research aim to know earnings of farmer of red chili, knowing factors any kind of influencing red chili production and efficiency usage of factors produce at red chili of farming. Basic method which is used in this research is descriptive analysis method. Research location determined with sampling purposive that is in District Stand aside. Farmer of sample determined with systematic random sampling and taken by 30 samples. Data analyze with: (1 revenue analysis, (2 multiple linear regression, (3 function of CobbDouglas. Result of research was indicated that farmer mean earning per hectare of red chili is IDR 80.098.297, 00 wide of factors of production of farm, seed, phonska fertilizer, cage manure, pesticide, and labor have an effect significant at 95 percent level while manure of urea have an effect not significant. Efficiency usage of factors produce inefficient red chili of farming for example wide of farm, seed, urea fertilizer, phonska fertilize, cage manure, pesticide, and labor.

  8. Measuring farm sustainability using data envelope analysis with principal components: the case of Wisconsin cranberry.

    Science.gov (United States)

    Dong, Fengxia; Mitchell, Paul D; Colquhoun, Jed

    2015-01-01

    Measuring farm sustainability performance is a crucial component for improving agricultural sustainability. While extensive assessments and indicators exist that reflect the different facets of agricultural sustainability, because of the relatively large number of measures and interactions among them, a composite indicator that integrates and aggregates over all variables is particularly useful. This paper describes and empirically evaluates a method for constructing a composite sustainability indicator that individually scores and ranks farm sustainability performance. The method first uses non-negative polychoric principal component analysis to reduce the number of variables, to remove correlation among variables and to transform categorical variables to continuous variables. Next the method applies common-weight data envelope analysis to these principal components to individually score each farm. The method solves weights endogenously and allows identifying important practices in sustainability evaluation. An empirical application to Wisconsin cranberry farms finds heterogeneity in sustainability practice adoption, implying that some farms could adopt relevant practices to improve the overall sustainability performance of the industry. Copyright © 2014 Elsevier Ltd. All rights reserved.

  9. A head-to-head comparison of SCRalyze and Ledalab, two model-based methods for skin conductance analysis.

    Science.gov (United States)

    Bach, Dominik R

    2014-12-01

    Model-based analysis of skin conductance responses (SCR) can furnish less noisy estimates of sympathetic arousal (SA) than operational peak scoring approaches, as shown in previous work. Here, I compare two model-based methods for analysis of evoked (stimulus-locked) SCR, implemented in two software packages, SCRalyze and Ledalab, with respect to their sensitivity in recovering SA. Four datasets are analysed to compare predictive validity, i.e. the sensitivity to distinguish pairs of SA states that are known to be different. SCRalyze was significantly better able than Ledalab to recover this known difference in four out of five tested contrasts and comparable in the remaining one. SCRalyze performed significantly better than conventional analysis in all contrasts. I conclude that the model-based method engendered in SCRalyze is currently the best available approach to provide robust and sensitive estimates of sympathetic arousal. Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

  10. Development of FAST.Farm: A New Multiphysics Engineering Tool for Wind Farm Design and Analysis: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Jonkman, Jason; Annoni, Jennifer; Hayman, Greg; Jonkman, Bonnie; Purkayastha, Avi

    2017-01-01

    This paper presents the development of FAST.Farm, a new multiphysics tool applicable to engineering problems in research and industry involving wind farm performance and cost optimization that is needed to address the current underperformance, failures, and expenses plaguing the wind industry. Achieving wind cost-of-energy targets - which requires improvements in wind farm performance and reliability, together with reduced uncertainty and expenditures - has been eluded by the complicated nature of the wind farm design problem, especially the sophisticated interaction between atmospheric phenomena and wake dynamics and array effects. FAST.Farm aims to balance the need for accurate modeling of the relevant physics for predicting power performance and loads while maintaining low computational cost to support a highly iterative and probabilistic design process and system-wide optimization. FAST.Farm makes use of FAST to model the aero-hydro-servo-elastics of distinct turbines in the wind farm, and it is based on some of the principles of the Dynamic Wake Meandering (DWM) model, but avoids many of the limitations of existing DWM implementations.

  11. Development of FAST.Farm: A New Multiphysics Engineering Tool for Wind-Farm Design and Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Jonkman, Jason; Annoni, Jennifer; Hayman, Greg; Jonkman, Bonnie; Purkayastha, Avi

    2017-01-09

    This paper presents the development of FAST.Farm, a new multiphysics tool applicable to engineering problems in research and industry involving wind farm performance and cost optimization that is needed to address the current underperformance, failures, and expenses plaguing the wind industry. Achieving wind cost-of-energy targets - which requires improvements in wind farm performance and reliability, together with reduced uncertainty and expenditures - has been eluded by the complicated nature of the wind farm design problem, especially the sophisticated interaction between atmospheric phenomena and wake dynamics and array effects. FAST.Farm aims to balance the need for accurate modeling of the relevant physics for predicting power performance and loads while maintaining low computational cost to support a highly iterative and probabilistic design process and system-wide optimization. FAST.Farm makes use of FAST to model the aero-hydro-servo-elastics of distinct turbines in the wind farm, and it is based on some of the principles of the Dynamic Wake Meandering (DWM) model, but avoids many of the limitations of existing DWM implementations.

  12. An Analysis on a Negotiation Model Based on Multiagent Systems with Symbiotic Learning and Evolution

    Science.gov (United States)

    Hossain, Md. Tofazzal

    This study explores an evolutionary analysis on a negotiation model based on Masbiole (Multiagent Systems with Symbiotic Learning and Evolution) which has been proposed as a new methodology of Multiagent Systems (MAS) based on symbiosis in the ecosystem. In Masbiole, agents evolve in consideration of not only their own benefits and losses, but also the benefits and losses of opponent agents. To aid effective application of Masbiole, we develop a competitive negotiation model where rigorous and advanced intelligent decision-making mechanisms are required for agents to achieve solutions. A Negotiation Protocol is devised aiming at developing a set of rules for agents' behavior during evolution. Simulations use a newly developed evolutionary computing technique, called Genetic Network Programming (GNP) which has the directed graph-type gene structure that can develop and design the required intelligent mechanisms for agents. In a typical scenario, competitive negotiation solutions are reached by concessions that are usually predetermined in the conventional MAS. In this model, however, not only concession is determined automatically by symbiotic evolution (making the system intelligent, automated, and efficient) but the solution also achieves Pareto optimal automatically.

  13. An approach for model-based energy cost analysis of industrial automation systems

    Energy Technology Data Exchange (ETDEWEB)

    Beck, A.; Goehner, P. [Institute of Industrial Automation and Software Engineering, University of Stuttgart, Pfaffenwaldring 47, 70550 Stuttgart (Germany)

    2012-08-15

    Current energy reports confirm the steadily dilating gap between available conventional energy resources and future energy demand. This gap results in increasing energy costs and has become a determining factor in economies. Hence, politics, industry, and research focus either on regenerative energy resources or on energy-efficient concepts, methods, and technologies for energy-consuming devices. A remaining challenge is energy optimization of complex systems during their operation time. In addition to optimization measures that can be applied in development and engineering, the generation of optimization measures that are customized to the specific dynamic operational situation, promise high-cost saving potentials. During operation time, the systems are located in unique situations and environments and are operated according to individual requirements of their users. Hence, in addition to complexity of the systems, individuality and dynamic variability of their surroundings during operation time complicate identification of goal-oriented optimization measures. This contribution introduces a model-based approach for user-centric energy cost analysis of industrial automation systems. The approach allows automated generation and appliance of individual optimization proposals. Focus of this paper is on a basic variant for a single industrial automation system and its operational parameters.

  14. A model-based longitudinal meta-analysis of FEV1 in randomized COPD trials.

    Science.gov (United States)

    Korell, J; Martin, S W; Karlsson, M O; Ribbing, J

    2016-03-01

    A model-based, longitudinal meta-analysis of the efficacy on morning trough forced expiratory volume in 1 second (FEV1 ) in chronic obstructive pulmonary disease (COPD) is presented. Literature data from 142 randomized maintenance trials were included, comprising 106,422 patients who received 19 compounds. 1982 morning trough FEV1 observations were available, each representing the mean FEV1 for a study arm at a specific timepoint. The final model for absolute FEV1 included baseline, disease progression, placebo effect, and drug effect estimates for all compounds, with interstudy variability on all model components and additional interarm variability on baseline. A dose-response relationship was identifiable for 10 of the 19 compounds. Drug-drug interactions among direct bronchodilators and the effect of concomitant background COPD treatment were included. Covariates were identified on baseline. Disease progression was proportional to the baseline FEV1 , and a mean baseline of <1.2 L resulted in a lower efficacy, in particular for antiinflammatory treatments.

  15. Processes governing arsenic retardation on Pleistocene sediments: Adsorption experiments and model-based analysis

    Science.gov (United States)

    Rathi, Bhasker; Neidhardt, Harald; Berg, Michael; Siade, Adam; Prommer, Henning

    2017-05-01

    In many countries of south/south-east Asia, reliance on Pleistocene aquifers for the supply of low-arsenic groundwater has created the risk of inducing migration of high-arsenic groundwater from adjacent Holocene aquifers. Adsorption of arsenic onto mineral surfaces of Pleistocene sediments is an effective attenuation mechanism. However, little is known about the sorption under anoxic conditions, in particular the behavior of arsenite. We report the results of anoxic batch experiments investigating arsenite (1-25 µmol/L) adsorption onto Pleistocene sediments under a range of field-relevant conditions. The sorption of arsenite was nonlinear and decreased with increasing phosphate concentrations (3-60 µmol/L) while pH (range 6-8) had no effect on total arsenic sorption. To simulate the sorption experiments, we developed surface complexation models of varying complexity. The simulated concentrations of arsenite, arsenate, and phosphate were in good agreement for the isotherm and phosphate experiments while secondary geochemical processes affected the pH experiments. For the latter, the model-based analysis suggests that the formation of solution complexes between organic buffers and Mn(II) ions promoted the oxidation of arsenite involving naturally occurring Mn-oxides. Upscaling the batch experiment model to a reactive transport model for Pleistocene aquifers demonstrates strong arsenic retardation and could have useful implications in the management of arsenic-free Pleistocene aquifers.

  16. Measuring the environmental effects of organic farming: A meta-analysis of structural variables in empirical research.

    Science.gov (United States)

    Lee, Ki Song; Choe, Young Chan; Park, Sung Hee

    2015-10-01

    This study examined the structural variables affecting the environmental effects of organic farming compared to those of conventional farming. A meta-analysis based on 107 studies and 360 observations published from 1977 to 2012 compared energy efficiency (EE) and greenhouse gas emissions (GHGE) for organic and conventional farming. The meta-analysis systematically analyzed the results of earlier comparative studies and used logistic regression to identify the structural variables that contributed to differences in the effects of organic and conventional farming on the environment. The statistical evidence identified characteristics that differentiated the environmental effects of organic and conventional farming, which is controversial. The results indicated that data sources, sample size and product type significantly affected EE, whereas product type, cropping pattern and measurement unit significantly affected the GHGE of organic farming compared to conventional farming. Superior effects of organic farming on the environment were more likely to appear for larger samples, primary data rather than secondary data, monocropping rather than multicropping, and crops other than fruits and vegetables. The environmental effects of organic farming were not affected by the study period, geographic location, farm size, cropping pattern, or measurement method.

  17. Sustainability Analysis of Coffee Farming in Protected Forestof West Lampung Based on Enviromental Economic Value

    Directory of Open Access Journals (Sweden)

    Fembriarti Erry Prasmatiwi

    2010-05-01

    Full Text Available Study on sustainability of multistrata coffee systems is important related to community forest program. This research aims to study: (1 sustainability of coffee farming in protected forest of West Lampung (2 willingness to pay the external cost and its determinant factors. The study was conducted in Sumberjaya, West Lampung Regency from Juni to October 2009. The study used random sampling method with 50 protected forest farmers were interviewed. Extended Cost Benefit Analysis (ECBA was used to address the purpose (1 while analysis of ordinal logistic regression was to address the purpose (2 Financial analysis showed that coffee farming in protected forest is feasible with NPV of IDR 17,719,505/ha, BCR 1.86 and IRR 24.96%. Coffee with complex multipurpose shade (MPTS, multipurpose tree species generated highest NPV. Based on ECBA, sustainability depended on externality cost (environmental and social cost. Coffee farming was not sustainable (shown by negative NPV when externality cost was more than US $536/ha. When externality cost was 458 USD ha-1 year-1 (minimum value NPV is Rp1.648.633/ha, BCR 1,04 and IRR 26,88. Complex multipurpose shade coffee was the most sustainable among the systems. To sustain the environment, farmers willing to pay external cost in average of Rp475,660/year for soil conservation, planting more shade trees, environmental tax, and reforestation. Based on ordinal logistic regression, farm size, land productivity, household income, household size, and knowledge of forest benefits, positively influencid WTP. Policy of community forest (HKm permit that require a minimum of 400 trees/ha could improve sustainability of coffee farming.Key words: Coffee farming, sustainable, protection forest, economic value

  18. Analysis of Massive Emigration from Poland: The Model-Based Clustering Approach

    Science.gov (United States)

    Witek, Ewa

    The model-based approach assumes that data is generated by a finite mixture of probability distributions such as multivariate normal distributions. In finite mixture models, each component of probability distribution corresponds to a cluster. The problem of determining the number of clusters and choosing an appropriate clustering method becomes the problem of statistical model choice. Hence, the model-based approach provides a key advantage over heuristic clustering algorithms, because it selects both the correct model and the number of clusters.

  19. Natural cycles and agricultural inputs: a farm gate Ecological Footprint analysis

    Science.gov (United States)

    Passeri, Nicolo; Blasi, Emanuele; Borucke, Michael; Galli, Alessandro; Franco, Silvio

    2014-05-01

    Land suitability for different crops depends on soil, water and climate conditions, as well as farmers' cultivation choices. Moreover, the use of agricultural inputs affects the natural cycles of crops and impacts their production. By assessing the ecological performance of farms as influenced by crop types, cultivation choices and land suitability one can therefore evaluate the effectiveness of agricultural practices and governance's options. Ecological Footprint accounts can be used to measure such ecological performance. These accounts track human demand for natural resources and ecological services and compare this demand with nature ability to regenerate these resource and services. This regenerative capacity is called biocapacity. Both demand (Footprint) and supply (biocapacity) are expressed in global hectares. Farming different from most other human activities, not only uses natural resources, but also enhances or erodes ecological supply. It therefore affects all factors that determine both Footprint and biocapacity. Climate, farmers' skills and choices (fertilizers, pesticides, machines) determine crop productivity, and to what extent crops preserve or compromise soils. The aim of this work is to evaluate how farmer's choices affect resources overexploitation. The study analysed how the use of inputs influences natural cycles within farm boundaries. This result from a pilot case study will show how particular farming practices affect both the farm's biocapacity and Ecological Footprint. Such analysis is relevant for informing involved stakeholders, namely the farmers on more sustainable agricultural practices and the policy makers on more suitable agricultural policies.

  20. CALVING ANALYSIS IN COWS OF CHAROLAIS BREED AT SELECTED FARM

    Directory of Open Access Journals (Sweden)

    KLÁRA VAVRIŠÍNOVÁ

    2001-09-01

    Full Text Available At our work we have analysed the organisation of calving in Charolais breed during the years from 1998 to 2001 at selected farm. Our monitoring of calving during winter season (from January to February shows the percentage of calving was in particular years ranged from 43.2 to 71.1. The most calves were born in February. We found out (total all years diffi cult calving (value 3 in 2 cases in April (1998 and 1999 and 1 case in February (1998 and 1 in March (1999. Calving marked with value 2 (total of all years we found out in January (2 cases, February (3 cases, March (4 cases and from September to December past one case. From 18 cases of diffi cult calving what we found out, 11 calves (61.11 % come from CHV 529 bull. In calves born by normal calving was found out average weight 34.75 kg, in ones born by calving with level 2 of diffi culty 36.36 kg, and in calves born by calving with diffi culty 3 was recorded average weight 41.5 kg. Recorded weight at 210 days of age in mostly cases was similar like in published breed standard.

  1. A model-based circular binary segmentation algorithm for the analysis of array CGH data

    Directory of Open Access Journals (Sweden)

    Tu Shih-Hsin

    2011-10-01

    Full Text Available Abstract Background Circular Binary Segmentation (CBS is a permutation-based algorithm for array Comparative Genomic Hybridization (aCGH data analysis. CBS accurately segments data by detecting change-points using a maximal-t test; but extensive computational burden is involved for evaluating the significance of change-points using permutations. A recent implementation utilizing a hybrid method and early stopping rules (hybrid CBS to improve the performance in speed was subsequently proposed. However, a time analysis revealed that a major portion of computation time of the hybrid CBS was still spent on permutation. In addition, what the hybrid method provides is an approximation of the significance upper bound or lower bound, not an approximation of the significance of change-points itself. Results We developed a novel model-based algorithm, extreme-value based CBS (eCBS, which limits permutations and provides robust results without loss of accuracy. Thousands of aCGH data under null hypothesis were simulated in advance based on a variety of non-normal assumptions, and the corresponding maximal-t distribution was modeled by the Generalized Extreme Value (GEV distribution. The modeling results, which associate characteristics of aCGH data to the GEV parameters, constitute lookup tables (eXtreme model. Using the eXtreme model, the significance of change-points could be evaluated in a constant time complexity through a table lookup process. Conclusions A novel algorithm, eCBS, was developed in this study. The current implementation of eCBS consistently outperforms the hybrid CBS 4× to 20× in computation time without loss of accuracy. Source codes, supplementary materials, supplementary figures, and supplementary tables can be found at http://ntumaps.cgm.ntu.edu.tw/eCBSsupplementary.

  2. Model based design and analysis of phase II HIV-1 trials.

    Science.gov (United States)

    Rekić, Dinko; Röshammar, Daniel; Simonsson, Ulrika S H

    2013-08-01

    This work explores the advantages of a model based drug development (MBDD) approach for the design and analysis of antiretroviral phase II trials. Two different study settings were investigated: (1) a 5-arm placebo-controlled parallel group dose-finding/proof of concept (POC) study and (2) a comparison of investigational drug and competitor. Studies were simulated using a HIV-1 dynamics model in NONMEM. The Monte-Carlo Mapped Power method determined the sample size required for detecting a dose-response relationship and a significant difference in effect compared to the competitor using a MBDD approach. Stochastic simulation and re-estimation were used for evaluation of model parameter precision and bias given different sample sizes. Results were compared to those from an unpaired, two-sided t test and ANOVA (p ≤ 0.05). In all scenarios, the MBDD approach resulted in smaller study sizes and more precisely estimated treatment effect than conventional statistical analysis. Using a MBDD approach, a sample size of 15 patients could be used to show POC and estimate ED50 with a good precision (relative standard error, 25.7 %). A sample size of 10 patients per arm was needed using the MBDD approach for detecting a difference in treatment effect of ≥20 % at 80 % power, a 3.4-fold reduction in sample size compared to a t test. The MBDD approach can be used to achieve more precise dose-response characterization facilitating decision making and dose selection. If necessitated, the sample size needed to reach a desired power can potentially be reduced compared to traditional statistical analyses. This may allow for comparison against competitors already in early clinical studies.

  3. Impact of wind farms on a power system. An eigenvalue analysis approach

    Energy Technology Data Exchange (ETDEWEB)

    Fernandez, R.D. [Laboratorio de Electronica Industrial, Control e Instrumentacion (LEICI), Facultad de Ingenieria, Universidad Nacional de La Plata, CC 91, 1900 La Plata (Argentina); Laboratorio de Electronica. Facultad de Ingenieria, Universidad Nacional de la Patagonia San Juan Bosco, Ciudad Universitaria, Km. 4, 9000 Comodoro Rivadavia (Argentina); Mantz, R.J.; Battaiotto, P.E. [Laboratorio de Electronica Industrial, Control e Instrumentacion (LEICI), Facultad de Ingenieria, Universidad Nacional de La Plata, CC 91, 1900 La Plata (Argentina)

    2007-08-15

    This paper analyzes the frequency dynamic behavior in a power system with a high wind power penetration. To this end, wind farms equipped with squirrel cage and doubly fed induction generators are compared. Aspects of the modeling of the different kinds of wind generation and power systems are cited. Then, it is shown, through an eigenvalue analysis, that wind farms equipped by doubly fed induction machines, adequately controlled, can contribute to improve the frequency dynamics. Simulations are presented which verify the theoretical results. (author)

  4. Economic analysis of wind-powered farmhouse and farm building heating systems. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Stafford, R.W.; Greeb, F.J.; Smith, M.F.; Des Chenes, C.; Weaver, N.L.

    1981-01-01

    The study evaluated the break-even values of wind energy for selected farmhouses and farm buildings focusing on the effects of thermal storage on the use of WECS production and value. Farmhouse structural models include three types derived from a national survey - an older, a more modern, and a passive solar structure. The eight farm building applications that were analyzed include: poultry-layers, poultry-brooding/layers, poultry-broilers, poultry-turkeys, swine-farrowing, swine-growing/finishing, dairy, and lambing. These farm buildings represent the spectrum of animal types, heating energy use, and major contributions to national agricultural economic values. All energy analyses were based on hour-by-hour computations which allowed for growth of animals, sensible and latent heat production, and ventilation requirements. Hourly or three-hourly weather data obtained from the National Climatic Center was used for the nine chosen analysis sites, located throughout the United States and corresponding to regional agricultural production centers.

  5. Logistic Regression Analysis on Factors Affecting Adoption of RiceFish Farming in North Iran

    Institute of Scientific and Technical Information of China (English)

    Seyyed Ali NOORHOSSEINI-NIYAKI; Mohammad Sadegh ALLAHYARI

    2012-01-01

    We evaluated the factors influencing the adoption of rice-fish farming in the Tavalesh region near the Caspian Sea in northern Iran.We conducted a survey with open-ended questions.Data were collected from 184 respondents (61 adopters and 123 non-adopters) randomly sampled from selected villages and analyzed using logistic regression and multiresponse analysis.Family size,number of contacts with an extension agent,participation in extension-education activities,membership in social institutions and the presence of farm workers were the most important socioeconomic factors for the adoption of rice-fish farming system.In addition,economic problems were the most common issue reported by adopters.Other issues such as lack of access to appropriate fish food,losses of fish,lack of access to high quality fish fingerlings and dehydration and poor water quality were also important to a number of farmers.

  6. A meta-analysis approach to the effects of fish farming on soft bottom polychaeta assemblages in temperate regions

    OpenAIRE

    Martinez-Garcia, Elena; Sanchez-Jerez, Pablo; Aguado Giménez, Felipe; Ávila, Pablo; Guerrero, Alejandro; Sánchez-Lizaso, José Luis; Fernandez-Gonzalez, Victoria; González, Nieves; Gairin Deulofeu, Joan Ignasi; Carballeira, Carlos; García García, Benjamín; Carreras, Jordi; Macías, José Carlos; Carballeira, Alejo; Collado, Cayetano

    2013-01-01

    Marine fish farms could cause environmental disturbances on the sediment due to uneaten food and fish faeces that impact the marine benthos. Polychaete assemblages are considered good indicators of environmental perturbations. The present study aimed to establish groups of polychaetes as potential indicators of fish farm pollution. This study was carried out in ten fish farms along the Spanish coast. Changes in polychaete assemblage were analyzed with meta-analysis and multivariate techniques...

  7. Dynamic Chest Image Analysis: Evaluation of Model-Based Pulmonary Perfusion Analysis With Pyramid Images

    Science.gov (United States)

    2007-11-02

    Address(es) US Army Research, Development & Standardization Group (UK) PSC 802 Box 15 FPO AE 09499-1500 Sponsor/Monitor’s Acronym(s) Sponsor...6G O D 2 O P " GH I KJML E8 O D 83O P " (8) This naturally implies that as long as O D 2 O P KJ...A method for the solution of certain problems in least squares. Quart. Appl. Math ., 2:164–168, 1944. [8] J. Liang. Dynamic Chest Image Analysis. Turku

  8. Factors influencing adoption of farm management practices in three agrobiodiversity hotspots in India: an analysis using the Count Data Model

    Directory of Open Access Journals (Sweden)

    Prabhakaran T. Raghu

    2014-07-01

    Full Text Available Sustainable agricultural practices require, among other factors, adoption of improved nutrient management techniques, pest mitigation technology and soil conservation measures. Such improved management practices can be tools for enhancing crop productivity. Data on micro-level farm management practices from developing countries is either scarce or unavailable, despite the importance of their policy implications with regard to resource allocation. The present study investigates adoption of some farm management practices and factors influencing the adoption behavior of farm households in three agrobiodiversity hotspots in India: Kundra block in the Koraput district of Odisha, Meenangadi panchayat in the Wayanad district of Kerala and Kolli Hills in the Namakkal district of Tamil Nadu. Information on farm management practices was collected from November 2011 to February 2012 from 3845 households, of which the data from 2726 farm households was used for analysis. The three most popular farm management practices adopted by farmers include: application of chemical fertilizers, farm yard manure and green manure for managing nutrients; application of chemical pesticides, inter-cropping and mixed cropping for mitigating pests; and contour bunds, grass bunds and trenches for soil conservation. A Negative Binomial count data regression model was used to estimate factors influencing decision-making by farmers on farm management practices. The regression results indicate that farmers who received information from agricultural extension are statistically significant and positively related to the adoption of farm management practices. Another key finding shows the negative relationship between cultivation of local varieties and adoption of farm management practices.

  9. Biplane fluoroscopy for hindfoot motion analysis during gait: A model-based evaluation.

    Science.gov (United States)

    Cross, Janelle A; McHenry, Benjamin D; Molthen, Robert; Exten, Emily; Schmidt, Taly Gilat; Harris, Gerald F

    2017-03-01

    The purpose of this study was to quantify the accuracy and precision of a biplane fluoroscopy system for model-based tracking of in vivo hindfoot motion during over-ground gait. Gait was simulated by manually manipulating a cadaver foot specimen through a biplane fluoroscopy system attached to a walkway. Three 1.6-mm diameter steel beads were implanted into the specimen to provide marker-based tracking measurements for comparison to model-based tracking. A CT scan was acquired to define a gold standard of implanted bead positions and to create 3D models for model-based tracking. Static and dynamic trials manipulating the specimen through the capture volume were performed. Marker-based tracking error was calculated relative to the gold standard implanted bead positions. The bias, precision, and root-mean-squared (RMS) error of model-based tracking was calculated relative to the marker-based measurements. The overall RMS error of the model-based tracking method averaged 0.43 ± 0.22mm and 0.66 ± 0.43° for static and 0.59 ± 0.10mm and 0.71 ± 0.12° for dynamic trials. The model-based tracking approach represents a non-invasive technique for accurately measuring dynamic hindfoot joint motion during in vivo, weight bearing conditions. The model-based tracking method is recommended for application on the basis of the study results.

  10. Market analysis onshore wind farming; Marktanalyse Windenergie an Land

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2015-07-01

    The aim of the EEG in 2014 is that 2,500 MW net amount of onshore wind farming per year are added. Depending on how many wind turbines will be dismantled, that means the new building of 3 - 5 GW per year in the period until 2035. The newly installed capacity underline, that currently sufficient areas are available. But there are fundamentally risks in the availability of land. The planning for the provision of suitable areas is usually corresponding to upstream licensing procedures and has a very high time requirement. The volume of the area development depends on a variety of requirements and is highly dependent on the local acceptance. The question of acceptance of the planning authorities is for the government side in particular the developers and investors of a great importance. The bandwidth of today's production costs is currently 6-9 cents / kWh, with the vast majority of today operating plants and the potentials determined range from 7.5 to 9 cents / kWh. From the initial project idea up to commissioning elapse an average of 5 years. The German wind energy market is very fragmented. So is the concentration of small wind farms with less than 6 plants over 60% of all wind turbines. Furthermore the market is characterized by a wide variety of participants. From this variety of participants gives a great Competition for suitable land, but at the same time a broad and diverse area development, which has et al reflected in current new capacities. Due to the different approaches to planning in the federal states and regions planning authorities have a particular importance. Human resources and the experience of the wind power planning significantly influence the spatial control of Wind energy. For the supra-regionally project developers and manufacturers there is a great knowledge of the German Market (cost, available areas, etc.). [German] Ziel des EEG 2014 ist es, dass 2.500 MW aus Wind an Land pro Jahr netto hinzugebaut werden. Je nachdem wie viele

  11. An observations and model-based analysis of meridional transports in the South Atlantic

    Science.gov (United States)

    Majumder, Sudip; Schmid, Claudia; Halliwell, George

    2016-08-01

    A three-dimensional velocity field constructed from Argo observations and sea surface heights (called Argo and SSH, hereinafter) is used to estimate meridional overturning volume transport and meridional heat transport (MHT) across 20°S, 25°S, 30°S, and 35°S for the years 2000-2014 in the South Atlantic. Volume transport in the upper branch of Meridional Overturning Circulation (MOC) and MHT from the observations are consistent with the previous observations, but are higher than the estimates derived from three data assimilative ocean models, at some of the latitudes. Both the observations and models show strong correlations between the strength of MOC and MHT at all the latitudes. The corresponding change in MHT for 1 Sv change of MOC strength, in the observations, increases from 0.046 PW in 25°S, 30°S, and 35°S to 0.056 PW across 20°S. A comparison of model-based transports at 35°S at the boundaries and in the interior with those from Argo and SSH shows significant differences between them with respect to the contributions in the three segments of the section. In addition, the contributions also vary greatly between the different models. An analysis of the seasonality of MOC in the models and in the observations reveals that MOC anomalies in the models mostly show strong annual cycles at all the latitudes, whereas those derived from Argo and SSH exhibit annual cycles at three latitudes (35°S, 30°S, and to a lesser extent at 25°S) and a semiannual cycle at 20°S.

  12. Physiologically corrected coupled motion during gait analysis using a model-based approach.

    Science.gov (United States)

    Bonnechère, Bruno; Sholukha, Victor; Salvia, Patrick; Rooze, Marcel; Van Sint Jan, Serge

    2015-01-01

    Gait analysis is used in daily clinics for patients' evaluation and follow-up. Stereophotogrammetric devices are the most used tool to perform these analyses. Although these devices are accurate results must be analyzed carefully due to relatively poor reproducibility. One of the major issues is related to skin displacement artifacts. Motion representation is recognized reliable for the main plane of motion displacement, but secondary motions, or combined, are less reliable because of the above artifacts. Model-based approach (MBA) combining accurate joint kinematics and motion data was previously developed based on a double-step registration method. This study presents an extensive validation of this MBA method by comparing results with a conventional motion representation model. Thirty five healthy subjects participated to this study. Gait motion data were obtained from a stereophotogrammetric system. Plug-in Gait model (PiG) and MBA were applied to raw data, results were then compared. Range-of-motion, were computed for pelvis, hip, knee and ankle joints. Differences between PiG and MBA were then computed. Paired-sample t-tests were used to compare both methods. Normalized root-mean square errors were also computed. Shapes of the curves were compared using coefficient of multiple correlations. The MBA and PiG approaches shows similar results for the main plane of motion displacement but statistically significative discrepancies appear for the combined motions. MBA appear to be usable in applications (such as musculoskeletal modeling) requesting better approximations of the joints-of-interest thanks to the integration of validated joint mechanisms.

  13. Model-based analysis for qualitative data: an application in Drosophila germline stem cell regulation.

    Directory of Open Access Journals (Sweden)

    Michael Pargett

    2014-03-01

    Full Text Available Discovery in developmental biology is often driven by intuition that relies on the integration of multiple types of data such as fluorescent images, phenotypes, and the outcomes of biochemical assays. Mathematical modeling helps elucidate the biological mechanisms at play as the networks become increasingly large and complex. However, the available data is frequently under-utilized due to incompatibility with quantitative model tuning techniques. This is the case for stem cell regulation mechanisms explored in the Drosophila germarium through fluorescent immunohistochemistry. To enable better integration of biological data with modeling in this and similar situations, we have developed a general parameter estimation process to quantitatively optimize models with qualitative data. The process employs a modified version of the Optimal Scaling method from social and behavioral sciences, and multi-objective optimization to evaluate the trade-off between fitting different datasets (e.g. wild type vs. mutant. Using only published imaging data in the germarium, we first evaluated support for a published intracellular regulatory network by considering alternative connections of the same regulatory players. Simply screening networks against wild type data identified hundreds of feasible alternatives. Of these, five parsimonious variants were found and compared by multi-objective analysis including mutant data and dynamic constraints. With these data, the current model is supported over the alternatives, but support for a biochemically observed feedback element is weak (i.e. these data do not measure the feedback effect well. When also comparing new hypothetical models, the available data do not discriminate. To begin addressing the limitations in data, we performed a model-based experiment design and provide recommendations for experiments to refine model parameters and discriminate increasingly complex hypotheses.

  14. Performance analysis of model based iterative reconstruction with dictionary learning in transportation security CT

    Science.gov (United States)

    Haneda, Eri; Luo, Jiajia; Can, Ali; Ramani, Sathish; Fu, Lin; De Man, Bruno

    2016-05-01

    In this study, we implement and compare model based iterative reconstruction (MBIR) with dictionary learning (DL) over MBIR with pairwise pixel-difference regularization, in the context of transportation security. DL is a technique of sparse signal representation using an over complete dictionary which has provided promising results in image processing applications including denoising,1 as well as medical CT reconstruction.2 It has been previously reported that DL produces promising results in terms of noise reduction and preservation of structural details, especially for low dose and few-view CT acquisitions.2 A distinguishing feature of transportation security CT is that scanned baggage may contain items with a wide range of material densities. While medical CT typically scans soft tissues, blood with and without contrast agents, and bones, luggage typically contains more high density materials (i.e. metals and glass), which can produce severe distortions such as metal streaking artifacts. Important factors of security CT are the emphasis on image quality such as resolution, contrast, noise level, and CT number accuracy for target detection. While MBIR has shown exemplary performance in the trade-off of noise reduction and resolution preservation, we demonstrate that DL may further improve this trade-off. In this study, we used the KSVD-based DL3 combined with the MBIR cost-minimization framework and compared results to Filtered Back Projection (FBP) and MBIR with pairwise pixel-difference regularization. We performed a parameter analysis to show the image quality impact of each parameter. We also investigated few-view CT acquisitions where DL can show an additional advantage relative to pairwise pixel difference regularization.

  15. Model Based Analysis of Clonal Developments Allows for Early Detection of Monoclonal Conversion and Leukemia

    Science.gov (United States)

    Thielecke, Lars; Glauche, Ingmar

    2016-01-01

    The availability of several methods to unambiguously mark individual cells has strongly fostered the understanding of clonal developments in hematopoiesis and other stem cell driven regenerative tissues. While cellular barcoding is the method of choice for experimental studies, patients that underwent gene therapy carry a unique insertional mark within the transplanted cells originating from the integration of the retroviral vector. Close monitoring of such patients allows accessing their clonal dynamics, however, the early detection of events that predict monoclonal conversion and potentially the onset of leukemia are beneficial for treatment. We developed a simple mathematical model of a self-stabilizing hematopoietic stem cell population to generate a wide range of possible clonal developments, reproducing typical, experimentally and clinically observed scenarios. We use the resulting model scenarios to suggest and test a set of statistical measures that should allow for an interpretation and classification of relevant clonal dynamics. Apart from the assessment of several established diversity indices we suggest a measure that quantifies the extension to which the increase in the size of one clone is attributed to the total loss in the size of all other clones. By evaluating the change in relative clone sizes between consecutive measurements, the suggested measure, referred to as maximum relative clonal expansion (mRCE), proves to be highly sensitive in the detection of rapidly expanding cell clones prior to their dominant manifestation. This predictive potential places the mRCE as a suitable means for the early recognition of leukemogenesis especially in gene therapy patients that are closely monitored. Our model based approach illustrates how simulation studies can actively support the design and evaluation of preclinical strategies for the analysis and risk evaluation of clonal developments. PMID:27764218

  16. Integrated Experimental and Model-based Analysis Reveals the Spatial Aspects of EGFR Activation Dynamics

    Energy Technology Data Exchange (ETDEWEB)

    Shankaran, Harish; Zhang, Yi; Chrisler, William B.; Ewald, Jonathan A.; Wiley, H. S.; Resat, Haluk

    2012-10-02

    The epidermal growth factor receptor (EGFR) belongs to the ErbB family of receptor tyrosine kinases, and controls a diverse set of cellular responses relevant to development and tumorigenesis. ErbB activation is a complex process involving receptor-ligand binding, receptor dimerization, phosphorylation, and trafficking (internalization, recycling and degradation), which together dictate the spatio-temporal distribution of active receptors within the cell. The ability to predict this distribution, and elucidation of the factors regulating it, would help to establish a mechanistic link between ErbB expression levels and the cellular response. Towards this end, we constructed mathematical models for deconvolving the contributions of receptor dimerization and phosphorylation to EGFR activation, and to examine the dependence of these processes on sub-cellular location. We collected experimental datasets for EGFR activation dynamics in human mammary epithelial cells, with the specific goal of model parameterization, and used the data to estimate parameters for several alternate models. Model-based analysis indicated that: 1) signal termination via receptor dephosphorylation in late endosomes, prior to degradation, is an important component of the response, 2) less than 40% of the receptors in the cell are phosphorylated at any given time, even at saturating ligand doses, and 3) receptor dephosphorylation rates at the cell surface and early endosomes are comparable. We validated the last finding by measuring EGFR dephosphorylation rates at various times following ligand addition both in whole cells, and in endosomes using ELISAs and fluorescent imaging. Overall, our results provide important information on how EGFR phosphorylation levels are regulated within cells. Further, the mathematical model described here can be extended to determine receptor dimer abundances in cells co-expressing various levels of ErbB receptors. This study demonstrates that an iterative cycle of

  17. Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics.

    Directory of Open Access Journals (Sweden)

    Laura Fumanelli

    2016-01-01

    Full Text Available School closure policies are among the non-pharmaceutical measures taken into consideration to mitigate influenza epidemics and pandemics spread. However, a systematic review of the effectiveness of alternative closure policies has yet to emerge. Here we perform a model-based analysis of four types of school closure, ranging from the nationwide closure of all schools at the same time to reactive gradual closure, starting from class-by-class, then grades and finally the whole school. We consider policies based on triggers that are feasible to monitor, such as school absenteeism and national ILI surveillance system. We found that, under specific constraints on the average number of weeks lost per student, reactive school-by-school, gradual, and county-wide closure give comparable outcomes in terms of optimal infection attack rate reduction, peak incidence reduction or peak delay. Optimal implementations generally require short closures of one week each; this duration is long enough to break the transmission chain without leading to unnecessarily long periods of class interruption. Moreover, we found that gradual and county closures may be slightly more easily applicable in practice as they are less sensitive to the value of the excess absenteeism threshold triggering the start of the intervention. These findings suggest that policy makers could consider school closure policies more diffusely as response strategy to influenza epidemics and pandemics, and the fact that some countries already have some experience of gradual or regional closures for seasonal influenza outbreaks demonstrates that logistic and feasibility challenges of school closure strategies can be to some extent overcome.

  18. A linearization approach for the model-based analysis of combined aggregate and individual patient data.

    Science.gov (United States)

    Ravva, Patanjali; Karlsson, Mats O; French, Jonathan L

    2014-04-30

    The application of model-based meta-analysis in drug development has gained prominence recently, particularly for characterizing dose-response relationships and quantifying treatment effect sizes of competitor drugs. The models are typically nonlinear in nature and involve covariates to explain the heterogeneity in summary-level literature (or aggregate data (AD)). Inferring individual patient-level relationships from these nonlinear meta-analysis models leads to aggregation bias. Individual patient-level data (IPD) are indeed required to characterize patient-level relationships but too often this information is limited. Since combined analyses of AD and IPD allow advantage of the information they share to be taken, the models developed for AD must be derived from IPD models; in the case of linear models, the solution is a closed form, while for nonlinear models, closed form solutions do not exist. Here, we propose a linearization method based on a second order Taylor series approximation for fitting models to AD alone or combined AD and IPD. The application of this method is illustrated by an analysis of a continuous landmark endpoint, i.e., change from baseline in HbA1c at week 12, from 18 clinical trials evaluating the effects of DPP-4 inhibitors on hyperglycemia in diabetic patients. The performance of this method is demonstrated by a simulation study where the effects of varying the degree of nonlinearity and of heterogeneity in covariates (as assessed by the ratio of between-trial to within-trial variability) were studied. A dose-response relationship using an Emax model with linear and nonlinear effects of covariates on the emax parameter was used to simulate data. The simulation results showed that when an IPD model is simply used for modeling AD, the bias in the emax parameter estimate increased noticeably with an increasing degree of nonlinearity in the model, with respect to covariates. When using an appropriately derived AD model, the linearization

  19. Finding Groups Using Model-Based Cluster Analysis: Heterogeneous Emotional Self-Regulatory Processes and Heavy Alcohol Use Risk

    Science.gov (United States)

    Mun, Eun Young; von Eye, Alexander; Bates, Marsha E.; Vaschillo, Evgeny G.

    2008-01-01

    Model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities. It is an inferentially based, statistically principled procedure that allows comparison of nonnested models using the Bayesian information criterion to compare multiple models and identify the…

  20. Finding Groups Using Model-Based Cluster Analysis: Heterogeneous Emotional Self-Regulatory Processes and Heavy Alcohol Use Risk

    Science.gov (United States)

    Mun, Eun Young; von Eye, Alexander; Bates, Marsha E.; Vaschillo, Evgeny G.

    2008-01-01

    Model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities. It is an inferentially based, statistically principled procedure that allows comparison of nonnested models using the Bayesian information criterion to compare multiple models and identify the…

  1. Use of meteorological information in the risk analysis of a mixed wind farm and solar

    Science.gov (United States)

    Mengelkamp, H.-T.; Bendel, D.

    2010-09-01

    Use of meteorological information in the risk analysis of a mixed wind farm and solar power plant portfolio H.-T. Mengelkamp*,** , D. Bendel** *GKSS Research Center Geesthacht GmbH **anemos Gesellschaft für Umweltmeteorologie mbH The renewable energy industry has rapidly developed during the last two decades and so have the needs for high quality comprehensive meteorological services. It is, however, only recently that international financial institutions bundle wind farms and solar power plants and offer shares in these aggregate portfolios. The monetary value of a mixed wind farm and solar power plant portfolio is determined by legal and technical aspects, the expected annual energy production of each wind farm and solar power plant and the associated uncertainty of the energy yield estimation or the investment risk. Building an aggregate portfolio will reduce the overall uncertainty through diversification in contrast to the single wind farm/solar power plant energy yield uncertainty. This is similar to equity funds based on a variety of companies or products. Meteorological aspects contribute to the diversification in various ways. There is the uncertainty in the estimation of the expected long-term mean energy production of the wind and solar power plants. Different components of uncertainty have to be considered depending on whether the power plant is already in operation or in the planning phase. The uncertainty related to a wind farm in the planning phase comprises the methodology of the wind potential estimation and the uncertainty of the site specific wind turbine power curve as well as the uncertainty of the wind farm effect calculation. The uncertainty related to a solar power plant in the pre-operational phase comprises the uncertainty of the radiation data base and that of the performance curve. The long-term mean annual energy yield of operational wind farms and solar power plants is estimated on the basis of the actual energy production and it

  2. Physicochemical, Proximate Composition, Microbiological and Sensory Analysis of Farmed and Wild Harvested White Shrimp Litopenaeus vannamei (Boone, 1931 Tissues

    Directory of Open Access Journals (Sweden)

    M. García-ulloa Gomez

    2013-05-01

    Full Text Available Physicochemical, proximate composition, microbiological and sensory analysis of farmed and wild harvested white shrimp Litopenaeus vannamei muscle were compared. The cultured white shrimp were obtained of two farms, whereas the wild shrimp were collected off the coasts of Sinaloa and Nayarit, Mexico. Both, the farmed and wild white shrimp muscle, supplied a good source of protein and polyunsaturated fatty acids. The physicochemical composition, microbiological and sensory properties could be associated to their origin and handling. The wild shrimp tended to have a better proximate composition than the farmed shrimp, due to the availability of a greater diet variety in their environment.

  3. ANALYSIS OF FACTORS AFFECTING FOOD SECURITY IN RURAL AND URBAN FARMING HOUSEHOLDS OF BENUE STATE, NIGERIA

    Directory of Open Access Journals (Sweden)

    Godwin Anjeinu Abu

    2016-01-01

    Full Text Available The study examined factors affecting household food security status among rural and urban farming households of Benue State, Nigeria. Purposive and simple random sampling techniques were employed to obtain a sample of 180 respondents, 90 households head each from rural and urban areas. Data were collected through structured questionnaire and analyzed using descriptive statistics, Food Security Index, Surplus/Food Insecurity Gap, Factor analysis and Probit model. Using calorie intake method, the result revealed that 53.3% and 62.2% of rural and urban households respectively were food secured. The rural and urban food secure households exceeded the recommended calorie intake by 39% and 42% respectively, while the rural and urban food insecure households fell short of recommended calorie by 24% and 26% respectively. It was also found that income of households head (p<0.10, rural households size (p<0.01, and farm size (p<0.10 had a positive impact on household food security. On the other hand, age of household head (p<0.05 and urban household size (p<0.10 had a negative relationship with household food security. Constraints such as lack of access to credits, inadequate land availability, and poverty, infertility of the soil, lack of non-farm income generating activities, storage and processing problems were identified as some of the factors militating against the achievement of food security in the study area. It was recommended that credit be provided to farming households by government to reduce the constraint of not being able to access credit facilities, the agricultural policies which aimed at promoting farmers access to land and improving farm household productivity be encouraged and that farmers be provided with informal education through extension services on nutritional awareness and non-farm income generating activities.

  4. Model-based corridor performance analysis – An application to a European case

    DEFF Research Database (Denmark)

    Panagakos, George; Psaraftis, Harilaos N.

    2017-01-01

    , to the extent covered by the GreCOR application, the proposed methodology can effectively assess the performance of a freight transport corridor. Combining the model-based approach for the sample construction with the study-based approach for the estimation of chain-level indicators exploits the strengths...

  5. Model-based corridor performance analysis – An application to a European case

    DEFF Research Database (Denmark)

    Panagakos, George; Psaraftis, Harilaos N.

    2017-01-01

    , to the extent covered by the GreCOR application, the proposed methodology can effectively assess the performance of a freight transport corridor. Combining the model-based approach for the sample construction and the study-based approach for the estimation of chain-level indicators exploits the strengths...

  6. The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data.

    Science.gov (United States)

    Boucher, M; Bennetts, M

    2016-02-01

    Meta-analysis is an increasingly important aspect of drug development as companies look to benchmark their own compounds with the competition. There is scope to carry out a wide range of analyses addressing key research questions from preclinical through to postregistration. This set of tutorials will take the reader through key model-based meta-analysis (MBMA) methods with this first installment providing a general introduction before concentrating on classical and Bayesian methods for landmark data.

  7. Development of agritourism in Poland: a critical analysis of students’ expectations of agritourism farms

    Directory of Open Access Journals (Sweden)

    Kamińska Wioletta

    2015-12-01

    Full Text Available The aim of this paper is to determine the expectations of students from selected Polish academic centers toward facilities at agritourist farms, and identifying the socio-demographic characteristics that determined those expectations. A survey method was used in this research. Using the Likert’s five-level scale, respondents rated the significance of elements of agritourist farm facilities. It was found that academic youth expected, above all, facilities for enabling passive leisure and the independent preparation of meals. Provision of facilities for active leisure were of less significance to them. Gender, place of living, field of study and prior experience connected to leisure on the farms analyzed were not factors that differentiated students’ expectations. A weak correlation was found between students’ expectations of facilities at agritourist farms and their economic status. Students’ expectations were very similar to the expectations of the average agritourist. Research results confirmed some of the results known from the literature, stating that socio-demographic characteristics differentiated the expectations of academic youth to a small extent. However, the effects obtained did not correspond to results claiming that age, gender, place of living and income have a significant influence on tourist expectations. Additionally psychographic characteristics should be considered in the following research. A combination of demographic and psychographic characteristics may offer a wider base for analysis and give better end results, allowing market segmentation.

  8. Ovine catarrhal fever (Bluetongue): analysis of Culicoides species in seropositive farms.

    Science.gov (United States)

    Guercio, A; Di Marco, P; Manno, C; Di Bella, C; Purpari, G; Torina, A

    2010-04-01

    Bluetongue (BT) is an orbiviral disease of wild and domestic ruminants, mainly sheep. In Sicily, the first Bluetongue outbreak occurred in October 2000; there have been 76 recorded outbreaks so far. The National Surveillance Plan, based on European Union Commission Decision 138/2001/CE, establishes serological and entomological surveys. This plan consists of controls of seronegative cattle, called 'sentry' as indicators for the presence and circulation of virus in defined areas. To check the seroconversions, the regional territory has been subdivided in 400 km(2) areas including 58 seronegative cattle, periodically checked by serological tests. All positive sera have been tested to detect the specific serotype by the National Reference Centre for Exotic Diseases (CESME) at the Istituto Zooprofilattico Sperimentale Abruzzo e Molise in Teramo (IZS Teramo). Moreover, entomological surveillance has been implemented in seropositive herds, to investigate the presence of insect vectors belonging to Culicoides genus. The goal of the present communication is to report on the different species of Culicoides found in the farms with Bluetongue virus and to investigate on the probable role of new competent vectors. This paper concerns data analysis of 581 light-trap catches collected in 321 farms from 2003 to 2008. We observed that 82% of checked farms were positive for Culicoides spp., and only 10% of the farms were positive for Culicoides imicola.

  9. Land-use intensity and the effects of organic farming on biodiversity: a hierarchical meta-analysis.

    Science.gov (United States)

    Tuck, Sean L; Winqvist, Camilla; Mota, Flávia; Ahnström, Johan; Turnbull, Lindsay A; Bengtsson, Janne

    2014-06-01

    The benefits of organic farming to biodiversity in agricultural landscapes continue to be hotly debated, emphasizing the importance of precisely quantifying the effect of organic vs. conventional farming. We conducted an updated hierarchical meta-analysis of studies that compared biodiversity under organic and conventional farming methods, measured as species richness. We calculated effect sizes for 184 observations garnered from 94 studies, and for each study, we obtained three standardized measures reflecting land-use intensity. We investigated the stability of effect sizes through time, publication bias due to the 'file drawer' problem, and consider whether the current literature is representative of global organic farming patterns. On average, organic farming increased species richness by about 30%. This result has been robust over the last 30 years of published studies and shows no sign of diminishing. Organic farming had a greater effect on biodiversity as the percentage of the landscape consisting of arable fields increased, that is, it is higher in intensively farmed regions. The average effect size and the response to agricultural intensification depend on taxonomic group, functional group and crop type. There is some evidence for publication bias in the literature; however, our results are robust to its impact. Current studies are heavily biased towards northern and western Europe and North America, while other regions with large areas of organic farming remain poorly investigated. Synthesis and applications. Our analysis affirms that organic farming has large positive effects on biodiversity compared with conventional farming, but that the effect size varies with the organism group and crop studied, and is greater in landscapes with higher land-use intensity. Decisions about where to site organic farms to maximize biodiversity will, however, depend on the costs as well as the potential benefits. Current studies have been heavily biased towards

  10. Farm-economic analysis of reducing antimicrobial use whilst adopting improved management strategies on farrow-to-finish pig farms

    NARCIS (Netherlands)

    Rojo-Gimeno, Cristina; Postma, Merel; Dewulf, Jeroen; Hogeveen, Henk; Lauwers, Ludwig; Wauters, Erwin

    2016-01-01

    Due to increasing public health concerns that food animals could be reservoirs for antibiotic resistant organisms, calls for reduced current antibiotic use on farms are growing. Nevertheless, it is challenging for farmers to perform this reduction without negatively affecting technical and econom

  11. Farm-economic analysis of reducing antimicrobial use whilst adopting improved management strategies on farrow-to-finish pig farms

    NARCIS (Netherlands)

    Rojo-Gimeno, Cristina; Postma, Merel; Dewulf, Jeroen; Hogeveen, Henk; Lauwers, Ludwig; Wauters, Erwin

    2016-01-01

    Due to increasing public health concerns that food animals could be reservoirs for antibiotic resistant organisms, calls for reduced current antibiotic use on farms are growing. Nevertheless, it is challenging for farmers to perform this reduction without negatively affecting technical and econom

  12. Determination of disk diffusion susceptibility testing interpretive criteria using model-based analysis: development and implementation.

    Science.gov (United States)

    DePalma, Glen; Turnidge, John; Craig, Bruce A

    2017-02-01

    The determination of diffusion test breakpoints has become a challenging issue due to the increasing resistance of microorganisms to antibiotics. Currently, the most commonly-used method for determining these breakpoints is the modified error-rate bounded method. Its use has remained widespread despite the introduction of several model-based methods that have been shown superior in terms of precision and accuracy. However, the computational complexities associated with these new approaches has been a significant barrier for clinicians. To remedy this, we developed and examine the utility of a free online software package designed for the determination of diffusion test breakpoints: dBETS (diffusion Breakpoint Estimation Testing Software). This software package allows clinicians to easily analyze data from susceptibility experiments through visualization, error-rate bounded, and model-based approaches. We analyze four publicly available data sets from the Clinical and Laboratory Standards Institute using dBETS.

  13. Policies and design elements for the repowering of wind farms: A qualitative analysis of different options

    Energy Technology Data Exchange (ETDEWEB)

    Rio, Pablo del, E-mail: pablo.delrio@cchs.csic.e [Consejo Superior de Investigaciones Cientificas, Calle Albasanz 26-28, Madrid 28037 (Spain); Calvo Silvosa, Anxo, E-mail: calvo@udc.e [Universidade da Coruna, Departamento de Economia Financeira e Contabilidade, Campus de Elvina s/n, A Coruna 15071 (Spain); Iglesias Gomez, Guillermo, E-mail: gwig@udc.e [Universidade da Coruna, Departamento de Economia Aplicada I, Campus de Elvina s/n, A Coruna 15071 (Spain)

    2011-04-15

    Repowering of a wind farm is the process of replacing existing wind turbines with new turbines that either have a larger nameplate capacity or more efficiency, resulting in a net increase of the power generated. Although repowering brings, both, social and private benefits, there are also several obstacles to repowering which justify public support. The aim of this paper is to provide an overview and a qualitative analysis of instruments and design options to support repowering of on-shore wind farms. The multicriteria analysis carried out in this paper shows that all instruments have their advantages and drawbacks. However, feed-in tariffs and investment subsidies seem to be particularly appropriate instruments in this regard. Furthermore, we provide an assessment of different design options to promote repowering according to key assessment criteria. The relevance of design elements hinges on the fact that these are the ones directly affecting the variables that are relevant in the decision to repower (capacity factors and investment costs). - Research highlights: {yields} This paper provides a qualitative analysis of instruments and design options to support repowering in wind farms. {yields} The multicriteria analysis has shown that all instruments have their advantages and drawbacks regarding promotion of repowering. {yields} However, feed-in tariffs and investment subsidies seem to be particularly appropriate instruments in this regard. {yields} The choice of design elements within instruments is at least as important to promote repowering as the choice of specific instruments.

  14. Hydrocarbon Fuel Thermal Performance Modeling based on Systematic Measurement and Comprehensive Chromatographic Analysis

    Science.gov (United States)

    2016-07-27

    Conference Paper 3. DATES COVERED (From - To) 10 June 2016 - 27 July 2016 4. TITLE AND SUBTITLE Hydrocarbon Fuel Thermal Performance Modeling based on...The Johns Hopkins University Energetics Research Group (JHU/ERG), Columbia, MD and University of Washington, Seattle, WA 14. ABSTRACT Ensuring fuel ...is a common requirement for aircraft, rockets, and hypersonic vehicles. The Aerospace Fuels Quality Test and Model Development (AFQTMoDev) project

  15. Operation and Optimization of a Linux PC farm for Physics Analysis in the ZEUS Experiment

    Institute of Scientific and Technical Information of China (English)

    KrzysztofWrona; RadekKaczorowski; 等

    2001-01-01

    The ZEUS experiment has migrated its reconstruction and analysis farms to a PC-based environment.More than one year of experience has been acquired with successful operation of an analysis farm designed for several hundred users.Specially designed software has been used to proveide fast and reliable access to large amounts of data (30 TB in total),After the ongoing upgrade of the HERA luminosity,higher requirements will arise in terms of data storage capacity and throughput rate,The necessity of a bigger disk cache has led to consideration of solutions based on commodity technology,PC-based file servers are being tested as a cost-effective storage system,In this article we present the hardware and software solutions deplogyed and discuss their performance.scalability and maintenance issues.

  16. Helmintic infections in water buffaloes on Italian farms: a spatial analysis

    Directory of Open Access Journals (Sweden)

    Laura Rinaldi

    2009-05-01

    Full Text Available The present paper reports the results of a cross-sectional survey aimed at obtaining up-to-date information on the spatial distribution of different groups and/or species of helminths in water buffaloes from central Italy. Geographical information systems (GIS and spatial analysis were used to plan the sampling procedures, to display the results as maps and to detect spatial clusters of helminths in the study area. The survey was conducted on 127 water buffalo farms, which were selected in the study area using a grid sampling approach, followed by proportional allocation. Faecal samples (n. = 1,883 collected from the 127 farms were examined using the Flotac dual technique. Gastrointestinal strongyles were the most frequent helminths (33.1% on the tested farms, followed by the liver fluke Fasciola hepatica (7.1%, the rumen fluke Calicophoron daubneyi (7.1%, the nematode Strongyloides spp. (3.1%, the lancet liver fluke Dicrocoelium dendriticum (2.4% and the tapeworm Moniezia spp. (2.4%. In order to display the spatial distribution of the various helminths detected on the water buffalo farms (used as epidemiological unit in our study, point maps were drawn within the GIS. In addition, for each helminth, clustering of test-positive farms were investigated based on location determined by exact coordinates. Using spatial scan statistic, spatial clusters were found for the flukes F. hepatica and C. daubneyi and the cestode Moniezia spp.; these findings are consistent with the life cycle of these parasites, which have strong environmental determinants. In conclusion, the present study demonstrated that, with the appropriate survey-based data at hand, GIS is a useful tool to study epidemiological patterns of infections in veterinary health, in particular in water buffaloes.

  17. An analysis of the South African beef supply chain: from farm to fork.

    OpenAIRE

    2008-01-01

    The primary objective of this dissertation is to perform an analysis of the South African beef supply chain ‘from farm to fork’. This will contribute towards a better understanding of the beef supply chain, aiding collaboration, transparency and supply chain strategies to enhance national industry competitiveness. Currently, the industry, and the supply chain is facing pertinent challenges such as globalisation, the declining consumption of beef, the disconnection of the farmer from the suppl...

  18. An Exploratory Analysis of Projected Navy Officer Inventory Strength Using Data Farming

    Science.gov (United States)

    2016-09-01

    Education (MPT&E) Resource Management Division, Strategic Resourcing Branch, N100, is responsible for projecting current Navy officer inventory to...of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE September... Strategic Analysis Model (OSAM) in an attempt to accurately predict future inventory levels. This study utilizes applications of data farming to OSAM to

  19. Comparing model-based adaptive LMS filters and a model-free hysteresis loop analysis method for structural health monitoring

    Science.gov (United States)

    Zhou, Cong; Chase, J. Geoffrey; Rodgers, Geoffrey W.; Xu, Chao

    2017-02-01

    The model-free hysteresis loop analysis (HLA) method for structural health monitoring (SHM) has significant advantages over the traditional model-based SHM methods that require a suitable baseline model to represent the actual system response. This paper provides a unique validation against both an experimental reinforced concrete (RC) building and a calibrated numerical model to delineate the capability of the model-free HLA method and the adaptive least mean squares (LMS) model-based method in detecting, localizing and quantifying damage that may not be visible, observable in overall structural response. Results clearly show the model-free HLA method is capable of adapting to changes in how structures transfer load or demand across structural elements over time and multiple events of different size. However, the adaptive LMS model-based method presented an image of greater spread of lesser damage over time and story when the baseline model is not well defined. Finally, the two algorithms are tested over a simpler hysteretic behaviour typical steel structure to quantify the impact of model mismatch between the baseline model used for identification and the actual response. The overall results highlight the need for model-based methods to have an appropriate model that can capture the observed response, in order to yield accurate results, even in small events where the structure remains linear.

  20. Fire hazards analysis for W030 tank farm ventilation upgrade

    Energy Technology Data Exchange (ETDEWEB)

    Huckfeldt, R.A.

    1996-07-17

    This Fire Hazard Analysis (FHA) was prepared according to the requirements of U.S. Department of Energy (DOE) Order 5480.7A,FIRE PROTECTION, 2-17-93. The purpose of this FHA is to ascertain whether the objectives of DOE 5480.7A are being met. This purpose is accomplished through a conservative comprehensive assessment of the risk from fire and other perils within individual fire areas of a DOE facility in relation to proposed fire protection. This FHA is based on conditions set forth within this document and is valid only under these conditions.

  1. Multi-Frequency and Multi-Polarization Scattering Analysis for Model-Based Coastal Areas Classification

    Science.gov (United States)

    Buono, A.; Nunziata, F.; Migliaccio, M.; Li, X.; Wei, Y.; Shen, D.

    2016-08-01

    The Yellow River (in Chinese, Huang He) is the most sediment-filled river and the sixth-longest one in the world. The Yellow River is of paramount importance for safe navigation, local economy and environment due to the presence of floods, farms, aquacultures and pollution. Nonetheless, its delta area it is characterized by of several physical phenomena due to both natural and anthropogenic processes: sedimentation, erosion, floods, pollution, etc.In this study, actual partially overlapped L-/C-band FP SAR data collected from Radarsat-2 and ALOS PalSAR-2, respectively, are used to investigate the scattering properties of the Yellow River delta, whose very challenging area is characterized by different scenarios as recorded by ground truth data acquired during an in-situ campaign. 10 different classes have been codified: sea, river, forest, pond, swamp, tide-land, sand, saline soil, rural and industrial urban areas. However, no ground truth data is available in some codified areas.

  2. A Model-Based Systems Engineering Methodology for Employing Architecture In System Analysis: Developing Simulation Models Using Systems Modeling Language Products to Link Architecture and Analysis

    Science.gov (United States)

    2016-06-01

    ENGINEERING METHODOLOGY FOR EMPLOYING ARCHITECTURE IN SYSTEM ANALYSIS: DEVELOPING SIMULATION MODELS USING SYSTEMS MODELING LANGUAGE PRODUCTS TO LINK... ENGINEERING METHODOLOGY FOR EMPLOYING ARCHITECTURE IN SYSTEM ANALYSIS: DEVELOPING SIMULATION MODELS USING SYSTEMS MODELING LANGUAGE PRODUCTS TO LINK...to model-based systems engineering (MBSE) by formally defining an MBSE methodology for employing architecture in system analysis (MEASA) that presents

  3. A meta-analysis approach to the effects of fish farming on soft bottom polychaeta assemblages in temperate regions.

    Science.gov (United States)

    Martinez-Garcia, Elena; Sanchez-Jerez, Pablo; Aguado-Giménez, Felipe; Ávila, Pablo; Guerrero, Alejandro; Sánchez-Lizaso, Jose Luis; Fernandez-Gonzalez, Victoria; González, Nieves; Gairin, Joan Ignasi; Carballeira, Carlos; García-García, Benjamín; Carreras, Jordi; Macías, Jose Carlos; Carballeira, Alejo; Collado, Cayetano

    2013-04-15

    Marine fish farms could cause environmental disturbances on the sediment due to uneaten food and fish faeces that impact the marine benthos. Polychaete assemblages are considered good indicators of environmental perturbations. The present study aimed to establish groups of polychaetes as potential indicators of fish farm pollution. This study was carried out in ten fish farms along the Spanish coast. Changes in polychaete assemblage were analyzed with meta-analysis and multivariate techniques. Abundance, richness and diversity showed significant decreases under fish farm conditions. Distribution patterns of polychaetes responded to combinations of physicochemical variables. The main ones are sulfide concentration, silt and clays percentage, and stable nitrogen isotope ratio. The results showed that some families are tolerant, Capitellidae, Dorvilleidae, Glyceridae, Nereididae, Oweniidae and Spionidae; while others are sensitive to fish farm pollution, Magelonidae, Maldanidae, Nephtyidae, Onuphidae, Paralacydoniidae, Paraonide, Sabellidae and also Cirratulidae in spite of being reported as a tolerant family.

  4. Farm Tourism

    DEFF Research Database (Denmark)

    Blichfeldt, Bodil Stilling; Nielsen, Niels Christian; Nissen, Kathrine Aae

    2011-01-01

    This paper draws on a study of one specific type of small tourism enterprises (i.e. farm tourism enterprises) and argues that these enterprises differ from other enterprises in relation to a series of issues other than merely size. The analysis shows that enterprises such as these are characterized...... by blurriness of boundaries between „home spheres‟ and work situations as well as by a unique blend of commercial and private hospitality. Furthermore, the study shows that „social‟ motivations and non-monetary benefits gained through host-guest interactions are of great importance to the hosts. In particular......, our study suggests that it is problematic to threat farm tourism enterprises as if they have much in common with both larger corporations and other types of SMTEs. Farm tourism enterprises seem to differ significantly from other enterprises as the hosts are not in the tourism business because...

  5. The poultry-associated microbiome: network analysis and farm-to-fork characterizations.

    Directory of Open Access Journals (Sweden)

    Brian B Oakley

    Full Text Available Microbial communities associated with agricultural animals are important for animal health, food safety, and public health. Here we combine high-throughput sequencing (HTS, quantitative-PCR assays, and network analysis to profile the poultry-associated microbiome and important pathogens at various stages of commercial poultry production from the farm to the consumer. Analysis of longitudinal data following two flocks from the farm through processing showed a core microbiome containing multiple sequence types most closely related to genera known to be pathogenic for animals and/or humans, including Campylobacter, Clostridium, and Shigella. After the final stage of commercial poultry processing, taxonomic richness was ca. 2-4 times lower than the richness of fecal samples from the same flocks and Campylobacter abundance was significantly reduced. Interestingly, however, carcasses sampled at 48 hr after processing harboured the greatest proportion of unique taxa (those not encountered in other samples, significantly more than expected by chance. Among these were anaerobes such as Prevotella, Veillonella, Leptrotrichia, and multiple Campylobacter sequence types. Retail products were dominated by Pseudomonas, but also contained 27 other genera, most of which were potentially metabolically active and encountered in on-farm samples. Network analysis was focused on the foodborne pathogen Campylobacter and revealed a majority of sequence types with no significant interactions with other taxa, perhaps explaining the limited efficacy of previous attempts at competitive exclusion of Campylobacter. These data represent the first use of HTS to characterize the poultry microbiome across a series of farm-to-fork samples and demonstrate the utility of HTS in monitoring the food supply chain and identifying sources of potential zoonoses and interactions among taxa in complex communities.

  6. Conceptual framework for model-based analysis of residence time distribution in twin-screw granulation

    DEFF Research Database (Denmark)

    Kumar, Ashish; Vercruysse, Jurgen; Vanhoorne, Valerie

    2015-01-01

    within each module where different granulation rate processes dominate over others. Currently, experimental data is used to determine the residence time distributions. In this study, a conceptual model based on classical chemical engineering methods is proposed to better understand and simulate...... the residence time distribution in a TSG. The experimental data were compared with the proposed most suitable conceptual model to estimate the parameters of the model and to analyse and predict the effects of changes in number of kneading discs and their stagger angle, screw speed and powder feed rate...

  7. Model-Based Requirements Analysis for Reactive Systems with UML Sequence Diagrams and Coloured Petri Nets

    DEFF Research Database (Denmark)

    Tjell, Simon; Lassen, Kristian Bisgaard

    2008-01-01

    In this paper, we describe a formal foundation for a specialized approach to automatically checking traces against real-time requirements. The traces are obtained from simulation of Coloured Petri Net (CPN) models of reactive systems. The real-time requirements are expressed in terms...... of a derivative of UML 2.0 high-level Sequence Diagrams. The automated requirement checking is part of a bigger tool framework in which VDM++ is applied to automatically generate initial CPN models based on Problem Diagrams. These models are manually enhanced to provide behavioral descriptions of the environment...

  8. Sanitary risk analysis for farm workers exposed to environmental pollutants

    Directory of Open Access Journals (Sweden)

    Simone Pascuzzi

    2013-03-01

    Full Text Available In Italy, a large number of agricultural areas are contaminated by organic and inorganic polluting substances. In such areas, the agricultural operators come into contact with the environmental contaminants through inhalation and dermic contact with dusts and vapour, and this exposure can potentially alter the biological equilibrium with consequent poisonings and/or work-related illness. The aim of this paper is to apply a methodological procedure for the numerical evaluation of the health risk for agricultural employees operating in open fields or inside greenhouses located in areas contaminated with organic pollutants. This procedure is in response to the lack of calculation models concerning these types of environment and agricultural activities. As a case study, this methodology has been applied to an agricultural area of southern Italy characterised by the presence of pollutants. The results underline that in this area there is a smaller concentration of pollutants in open field cultivations than inside greenhouses owing to a phenomenon of dispersion into the atmosphere. This numeric analysis will later be verified by measurements carried out in situ in order to evaluate the real situation on the ground.

  9. Values in Organic Farming

    DEFF Research Database (Denmark)

    Kjærgård, Bente; Pedersen, Kirsten Bransholm; Land, Birgit

    The study focuses on the recent debate about what is, or what constitutes, organic farming and what is the right path for organic farming in the future. The study is based on a critical discourse analysis of the controversy about suspending the private standard for organic farming adopted...

  10. Values in Organic Farming

    DEFF Research Database (Denmark)

    Kjærgård, Bente; Pedersen, Kirsten Bransholm; Land, Birgit

    The study focuses on the recent debate about what is, or what constitutes, organic farming and what is the right path for organic farming in the future. The study is based on a critical discourse analysis of the controversy about suspending the private standard for organic farming adopted...

  11. Assessing conventional and organic citrus farming systems eco-efficiency: a metafrontier directional distance function approach using Life Cycle Analysis

    OpenAIRE

    Beltrán Esteve, Mercedes; REIG MARTINEZ, ERNEST; Estruch Guitart, Vicente

    2015-01-01

    [EN] In this paper, the eco‐efficiency of citrus farms operating under two different conventional and organic technological systems is analyzed. The methodology combines Life Cycle Analysis (LCA), to estimate the environmental impacts associated with the production process, and Data Envelopment Analysis(DEA) to estimate the position of each holding in relation to a frontier formed by the best farming practices. The use of the directional distance function concept allows us to calculate farms’...

  12. Emergy analysis of a farm biogas project in China: A biophysical perspective of agricultural ecological engineering

    Science.gov (United States)

    Zhou, S. Y.; Zhang, B.; Cai, Z. F.

    2010-05-01

    This paper aims to present a biophysical understanding of the agricultural ecological engineering by emergy analysis for a farm biogas project in China as a representative case. Accounting for the resource inputs into and accumulation within the project, as well as the outputs to the social system, emergy analysis provides an empirical study in the biophysical dimension of the agricultural ecological engineering. Economic benefits and ecological economic benefits of the farm biogas project indicated by market value and emergy monetary value are discussed, respectively. Relative emergy-based indices such as renewability (R%), emergy yield ratio (EYR), environmental load ratio (ELR) and environmental sustainability index (ESI) are calculated to evaluate the environmental load and local sustainability of the concerned biogas project. The results show that the farm biogas project has more reliance on the local renewable resources input, less environmental pressure and higher sustainability compared with other typical agricultural systems. In addition, holistic evaluation and its policy implications for better operation and management of the biogas project are presented.

  13. SWOT Analysis and Countermeasures of Ecological Agricultural Development of Jianshan Farm

    Institute of Scientific and Technical Information of China (English)

    Cao Can; Wang Da-qing; Wang Hong-yan; Dai Lin

    2015-01-01

    At present, the excessive use of the fertilizers and pesticides in the agricultural production has result in hardening of the soil and decrease of the wild animals and can not maintain the sustainable using of land resources. To develop ecological agriculture is a powerful measure to reduce energy consumption, protect environment, and realize the sustainable development of the agriculture. In order to promote the sustainable development of agriculture in Jianshan Farm, this paper by using SWOT analysis method analyzed the strength, weakness, opportunity and threat in the development of the ecological agriculture in Jianshan Farm, based on the experience from domestic and foreign ecological agricultural development, and put forward the countermeasures for the development of the ecological agriculture in order to develop ecological circular agriculture and non-genetic soybean crop protected areas, and to establish soybean-corn rotation area and healthy aquaculture zone, as well as develop new energy industry.

  14. Applications of population data analysis in on-farm dairy trials.

    Science.gov (United States)

    Engstrom, M; Sanchez, W; Stone, W; St-Pierre, N R

    2010-04-01

    With appropriate management controls and statistical designs, on-farm trials are an increasingly valuable research tool. On-farm trials can speed up technology adoption, particularly with those studies requiring large numbers of animals. Useful designs include longitudinal (pen vs. pen) trials, in which pen is the experimental unit, and crossover or switchback designs, in which treatments are imposed on a schedule over 1 or more experimental groups. A paired-herd design has been used, in which herds are the experimental units in a crossover trial. Others have published similar studies, including a multisite crossover design that used 35 dairy farms to compare milk responses with a protein source by using individual cow records to evaluate differences in milk production. Recently, statistical process control (SPC) techniques have been used to evaluate management changes by using repeated measures on the farm. Although a drawback to SPC may be the lack of traditional statistics to test differences (i.e., the lack of a control group), standard run rules are used to demonstrate with statistical certainty that a process or variable has changed, or to characterize a seasonal change. With SPC, the inference is limited to the herd or group of animals being monitored. Meta-analysis techniques are powerful tools used to combine results from many similar trials in which the response of interest is either small (i.e., continuous variables) or of low frequency (i.e., discrete variables). Meta-analysis can be used to segment a database so as to validate and compare trial methods or to investigate publication bias. Additional design concerns for reproduction studies include the need for adequate numbers of observations and planning for the lag time between an experimental treatment and response measurement (e.g., confirmation of pregnancy).

  15. An optimal sizing method for energy storage system in wind farms based on the analysis of wind power forecast error

    Science.gov (United States)

    Ye, R. L.; Guo, Z. Z.; Liu, R. Y.; Liu, J. N.

    2016-11-01

    Energy storage system (ESS) in a wind farm can effectively compensate the fluctuations of wind power. How to determine the size of ESS in wind farms is an urgent problem to be solved. A novel method is proposed for designing the optimal size of ESS considering wind power uncertainty. This approach uses non-parametric estimation method to analysis the wind power forecast error (WPFE) and the cumulative wind power deviation (CWPD) within the scheduling period. Then a cost-benefit analysis model is established to obtain the optimal size of ESS based on the analysis of WPFE and CWPD. A series of wind farm data in California are used as numerical cases, which presents that the algorithm presented in this paper has good feasibility and performance in optimal ESS sizing in wind farms.

  16. Organic farming enhances soil microbial abundance and activity—A meta-analysis and meta-regression

    Science.gov (United States)

    Symnaczik, Sarah; Mäder, Paul; De Deyn, Gerlinde; Gattinger, Andreas

    2017-01-01

    Population growth and climate change challenge our food and farming systems and provide arguments for an increased intensification of agriculture. A promising option is eco-functional intensification through organic farming, an approach based on using and enhancing internal natural resources and processes to secure and improve agricultural productivity, while minimizing negative environmental impacts. In this concept an active soil microbiota plays an important role for various soil based ecosystem services such as nutrient cycling, erosion control and pest and disease regulation. Several studies have reported a positive effect of organic farming on soil health and quality including microbial community traits. However, so far no systematic quantification of whether organic farming systems comprise larger and more active soil microbial communities compared to conventional farming systems was performed on a global scale. Therefore, we conducted a meta-analysis on current literature to quantify possible differences in key indicators for soil microbial abundance and activity in organic and conventional cropping systems. All together we integrated data from 56 mainly peer-reviewed papers into our analysis, including 149 pairwise comparisons originating from different climatic zones and experimental duration ranging from 3 to more than 100 years. Overall, we found that organic systems had 32% to 84% greater microbial biomass carbon, microbial biomass nitrogen, total phospholipid fatty-acids, and dehydrogenase, urease and protease activities than conventional systems. Exclusively the metabolic quotient as an indicator for stresses on microbial communities remained unaffected by the farming systems. Categorical subgroup analysis revealed that crop rotation, the inclusion of legumes in the crop rotation and organic inputs are important farming practices affecting soil microbial community size and activity. Furthermore, we show that differences in microbial size and activity

  17. ISO 14 001 at the farm level: analysis of five methods for evaluating the environmental impact of agricultural practices.

    Science.gov (United States)

    Galan, M B; Peschard, D; Boizard, H

    2007-02-01

    Faced with society's increasing expectations, the Common Agricultural Policy (CAP) review considers environmental management to be an ever more critical criterion in the allocation of farm subsidies. With the goal of evaluating the environmental friendliness of farm practices, France's agricultural research and extension services have built a range of agricultural/environmental diagnostic tools over recent years. The objective of the present paper is to compare the five tools most frequently used in France: IDEA, DIAGE, DIALECTE, DIALOGUE and INDIGO. All the tools have the same purpose: evaluation of the impact of farm practices on the environment via indicators and monitoring of farm management practices. When tested on a sample of large-scale farms in Picardie, the five tools sometimes produced completely different results: for a given farm, the most supposedly significant environmental impacts depend on the tool used. These results lead to differing environmental management plans and raise the question of the methods' pertinence. An analysis grid of diagnostic tools aimed at specifying their field of validity, limits and relevance was drawn up. The resulting comparative analysis enables to define each tool's domain of validity and allows to suggest lines of thought for developing more relevant tools for (i) evaluating a farm's environmental performance and (ii) helping farmers to develop a plan for improving practices within the framework of an environmental management system.

  18. Generalized poroviscoelastic model based on effective Biot theory and its application to borehole guided wave analysis

    Science.gov (United States)

    Liu, Xu; Greenhalgh, Stewart; Zhou, Bing; Heinson, Graham

    2016-12-01

    A method using modified attenuation factor function is suggested to determine the parameters of the generalized Zener model approximating the attenuation factor function. This method is applied to constitute the poroviscoelastic model based on the effective Biot theory which considers the attenuative solid frame of reservoir. In the poroviscoelastic model, frequency-dependent bulk modulus and shear modulus of solid frame are represented by generalized Zener models. As an application, the borehole logging dispersion equations from Biot theory are extended to include effects from the intrinsic body attenuation in formation media in full-frequency range. The velocity dispersions of borehole guided waves are calculated to investigate the influence from attenuative bore fluid, attenuative solid frame of the formation and impermeable bore wall.

  19. Self-Organized Criticality Analysis of Earthquake Model Based on Heterogeneous Networks*

    Institute of Scientific and Technical Information of China (English)

    WANG Lin; ZHANG Gui-Qing; CHEN Tian-Lun

    2011-01-01

    The original Olami-Feder-Christensen (OFC) model, which displays a robust power-law behavior, is a quasistatic two-dimensional version of the Burridge-Knopoff spring-block model of earthquakes. In this paper, we introduce a modified OFC model based on heterogeneous network, improving the redistribution rule of the original model. It can be seen as a generalization of the original OFC model. We numerically investigate the influence of the parameters θ and β, which respectively control the intensity of the evolutive mechanism of the topological growth and the inner selection dynamics in our networks, and find that there are two distinct phases in the parameter space (θ, β).Meanwhile, we study the influence of the control parameter a either. Increasing a, the earthquake behavior of the model transfers from local to global.

  20. An Intrusion Detection System Model Based on Immune Principle and Performance Analysis

    Institute of Scientific and Technical Information of China (English)

    CHEN Zhi-xian; WANG Ru-chuan; WANG Shao-di; SUN Zhi-xin

    2005-01-01

    The study of security in computer networks is a key issue,which is a rapidly growing area of interest because of its importance.Main network security problems are analyzed in this paper above all,which currently are confronted with network systems and existing works in intrusion detection.And then an intrusion detection system model based on Immune Principle(IPIDS)is presented.Meanwhile,it expatiates detailed implementation of the methods how to reduce the high false positive and negative alarms of the traditional Intrusion Detection System(IDS).At last a simple simulation is performed on this model just using string match algorithm as binding mechanism.The simulation results indicate that the model can detect malicious activity effectively,and consequently the security and steadiness of the whole network system are improved also.

  1. Model based, detailed fault analysis in the CERN PS complex equipment

    CERN Document Server

    Beharrell, M; Bouché, J M; Cupérus, J; Lelaizant, M; Mérard, L

    1995-01-01

    In the CERN PS Complex of accelerators, about a thousand of equipment of various type (power converters, RF cavities, beam measurement devices, vacuum systems etc...) are controlled using the so-called Control Protocol, already described in previous Conferences. This Protocol, a model based equipment access standard, provides, amongst other facilities, a uniform and structured fault description and report feature. The faults are organized in categories, following their gravity, and are presented at two levels: the first level is global and identical for all devices, the second level is very detailed and adapted to the peculiarities of each single device. All the relevant information is provided by the equipment specialists and is appropriately stored in static and real time data bases; in this way a unique set of data driven application programs can always cope with existing and newly added equipment. Two classes of applications have been implemented, the first one is intended for control room alarm purposes,...

  2. Model-Based Analysis and Efficient Operation of a Glucose Isomerization Reactor Plant

    DEFF Research Database (Denmark)

    2015-01-01

    efficiency. The objective of this study is the application of the developed framework on an industrial case study of a glucose isomerization (GI) reactor plant that is part of a corn refinery, with the objective to improve the productivity of the process. Therefore, a multi-scale reactor model......The application of computer-aided model based methods within an integrated systematic framework is illustrated with the objective to assist the multi-purpose pharmaceutical/biochemical industry to systematically solve the complex problems that are experienced when aiming at improving the process...... is developedfor use as a building block for the GI reactor plant simulation. An optimal operation strategy is proposed on the basis of the simulation results...

  3. Community analysis of biting midges (Culicoides Latr.) on livestock farms in Denmark

    DEFF Research Database (Denmark)

    Nielsen, S. A.; Banta, G.; Rasmussen, Anne-Marie;

    2014-01-01

    This study presents descriptive statistics and community analysis of adult biting midges trapped at 16 livestock farms by means of light traps on Zealand and Lolland-Falster, Denmark. A total of 9,047 male and female Culicoides divided into 24 species, were caught. Biotic and abiotic factors...... ranging from presence of different host species (cattle or sheep/goats), presence of small woody areas or wetlands in the surrounding landscape, and agricultural practice (organic or conventional) were included in the community analysis. Only differences in the Culicoides communities between conventional...

  4. [The attitude of German veterinarians towards farm animal welfare: results of a cluster analysis].

    Science.gov (United States)

    Heise, Heinke; Kemper, Nicole; Theuvsen, Ludwig

    2016-01-01

    In recent years the issue of animal welfare in intensive livestock production systems has been subjected to increasing criticism from the broad public. Some groups in society ask for higher animal welfare standards and there is an increas- ing number of consumers who prefer meat from more animal friendly husbandry systems. An intense social debate on animal welfare has flared up in the recent past. Veterinarians are considered as experts for the assessment of animal welfare. Nevertheless they are rarely consulted in the current debate. Therefore, only little is known about their attitude towards animal welfare in livestock farming. Even for Germany, there is so far no comprehensive analysis about their atti- tudes towards animal welfare and animal welfare programs. In the present study, 433 veterinarians were questioned via an online survey. The results show that veterinarians have a very differentiated perception of the issue animal welfare. Four groups (clusters) which have different attitudes towards livestock farming, voluntary animal welfare programs, farm size and the effects of national animal welfare standards were identified.

  5. Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems.

    Science.gov (United States)

    Pershina, Elizaveta; Valkonen, Jari; Kurki, Päivi; Ivanova, Ekaterina; Chirak, Evgeny; Korvigo, Ilia; Provorov, Nykolay; Andronov, Evgeny

    2015-01-01

    One of the most important challenges in agriculture is to determine the effectiveness and environmental impact of certain farming practices. The aim of present study was to determine and compare the taxonomic composition of the microbiomes established in soil following long-term exposure (14 years) to a conventional and organic farming systems (CFS and OFS accordingly). Soil from unclared forest next to the fields was used as a control. The analysis was based on RT-PCR and pyrosequencing of 16S rRNA genes of bacteria and archaea. The number of bacteria was significantly lower in CFS than in OFS and woodland. The highest amount of archaea was detected in woodland, whereas the amounts in CFS and OFS were lower and similar. The most common phyla in the soil microbial communities analyzed were Proteobacteria (57.9%), Acidobacteria (16.1%), Actinobacteria (7.9%), Verrucomicrobia (2.0%), Bacteroidetes (2.7%) and Firmicutes (4.8%). Woodland soil differed from croplands in the taxonomic composition of microbial phyla. Croplands were enriched with Proteobacteria (mainly the genus Pseudomonas), while Acidobacteria were detected almost exclusively in woodland soil. The most pronounced differences between the CFS and OFS microbiomes were found within the genus Pseudomonas, which significantly (porganic farming systems.

  6. An analysis of water samples surrounding swine farms in Timis County – A practical guide

    Directory of Open Access Journals (Sweden)

    Valentin L. Ordodi

    2013-11-01

    Full Text Available The most important role in biological soil pollution is allocated to the untreated waste water used to ground’s fertirigation from livestock farms, and in particular of swine units. Applying of arbitrary measures, and national and European legislation’s non-compliance are main factors that often makes from this issue a public health problem by the great impact it can generate and create in large agglomerations and animals. The diluted manures are able to affect the quality of the environment mainly by: nitrous oxide, ammonia, methane, hydrogen sulphide, volatile organic compounds, etc. and they, being administered in soils, may cause epizootic and epidemiological aspects and also those relating to environmental protection. In this respect it rise the need for all livestock farms to apply appropriate measures for certain manure treatment, different to species of animals and depending on the collection and discharge systems used. This paper is an original research work and it intends to be also a practical guide to follow for those interested in field research of environmental pollution. There are presented current investigation methodologies of water’s quality from swine farms vicinity in Timis County. In four chapters are presented: primary water analysis methodology, the determination of chlorides, nitrates and phosphates for each substance being presented methodology, kits and reagents necessary specific results and their interpretation and conclusions for each study. The last chapter was allocated to the description of the potentially polluting compounds determination by GC-MS technique.

  7. Economic efficiency analysis of different strategies to control post-weaning multi-systemic wasting syndrome and porcine circovirus type 2 subclinical infection in 3-weekly batch system farms.

    Science.gov (United States)

    Alarcon, Pablo; Rushton, Jonathan; Nathues, Heiko; Wieland, Barbara

    2013-06-01

    The study assessed the economic efficiency of different strategies for the control of post-weaning multi-systemic wasting syndrome (PMWS) and porcine circovirus type 2 subclinical infection (PCV2SI), which have a major economic impact on the pig farming industry worldwide. The control strategies investigated consisted on the combination of up to 5 different control measures. The control measures considered were: (1) PCV2 vaccination of piglets (vac); (2) ensuring age adjusted diet for growers (diets); (3) reduction of stocking density (stock); (4) improvement of biosecurity measures (bios); and (5) total depopulation and repopulation of the farm for the elimination of other major pathogens (DPRP). A model was developed to simulate 5 years production of a pig farm with a 3-weekly batch system and with 100 sows. A PMWS/PCV2SI disease and economic model, based on PMWS severity scores, was linked to the production model in order to assess disease losses. This PMWS severity scores depends on the combination post-weaning mortality, PMWS morbidity in younger pigs and proportion of PCV2 infected pigs observed on farms. The economic analysis investigated eleven different farm scenarios, depending on the number of risk factors present before the intervention. For each strategy, an investment appraisal assessed the extra costs and benefits of reducing a given PMWS severity score to the average score of a slightly affected farm. The net present value obtained for each strategy was then multiplied by the corresponding probability of success to obtain an expected value. A stochastic simulation was performed to account for uncertainty and variability. For moderately affected farms PCV2 vaccination alone was the most cost-efficient strategy, but for highly affected farms it was either PCV2 vaccination alone or in combination with biosecurity measures, with the marginal profitability between 'vac' and 'vac+bios' being small. Other strategies such as 'diets', 'vac+diets' and 'bios

  8. Environmental impact of heavy pig production in a sample of Italian farms. A cradle to farm-gate analysis

    Energy Technology Data Exchange (ETDEWEB)

    Pirlo, G., E-mail: giacomo.pirlo@crea.gov.it [Council for Agricultural Research and Economics, Fodder and Dairy Production Research Centre, Via A. Lombardo 11, 26900 Lodi (Italy); Carè, S. [Council for Agricultural Research and Economics, Fodder and Dairy Production Research Centre, Via A. Lombardo 11, 26900 Lodi (Italy); Casa, G. Della; Marchetti, R.; Ponzoni, G.; Faeti, V. [Council for Agricultural Research and Economics, Research Unit for Swine Husbandry, Via Beccastecca 345, San Cesario sul Panaro, 41018 (Italy); Fantin, V.; Masoni, P.; Buttol, P. [ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Via Martiri di Monte Sole 4, 40129 Bologna (Italy); Zerbinatti, L. [Associazione Regionale Allevatori dell' Emilia Romagna, Via Roma 89/2—Loc. Viadagola, 40057 Granarolo dell' Emilia (Italy); Falconi, F. [LCA-lab SRL, Bologna (Italy)

    2016-09-15

    Four breeding piggeries and eight growing-fattening piggeries were analyzed to estimate potential environmental impacts of heavy pig production (> 160 kg of live height at slaughtering). Life Cycle Assessment methodology was adopted in the study, considering a system from breeding phase to growing fattening phase. Environmental impacts of breeding phase and growing-fattening phase were accounted separately and then combined to obtain the impacts of heavy pig production. The functional unit was 1 kg of live weight gain. Impact categories investigated were global warming (GW), acidification (AC), eutrophication (EU), abiotic depletion (AD), and photochemical ozone formation (PO). The total environmental impact of 1 kg of live weight gain was 3.3 kg CO{sub 2}eq, 4.9 E − 2 kg SO{sub 2}eq, 3.1 E − 2 kg PO{sub 4}{sup 3−} eq, 3.7 E − 3 kg Sbeq, 1.7 E − 3 kg C{sub 2}H{sub 4}eq for GW, AC, EU, AD, and PO respectively. Feed production was the main hotspot in all impact categories. Greenhouse gases responsible for GW were mainly CH{sub 4}, N{sub 2}O, and CO{sub 2}. Ammonia was the most important source of AC, sharing about 90%. Nitrate and NH{sub 3} were the main emissions responsible for EU, whereas P and NOx showed minor contributions. Crude oil and natural gas consumption was the main source of AD. A large spectrum of pollutants had a significant impact on PO: they comprised CH{sub 4} from manure fermentation, CO{sub 2} caused by fossil fuel combustion in agricultural operations and industrial processes, ethane and propene emitted during oil extraction and refining, and hexane used in soybean oil extraction. The farm characteristics that best explained the results were fundamentally connected with performance indicators Farms showed a wide variability of results, meaning that there was wide margin for improving the environmental performance of either breeding or growing-fattening farms. The effectiveness of some mitigation measures was evaluated and the results

  9. 风电场风速的神经网络组合预测模型%Combination Forecasting Model Based on Neural Networks for Wind Speed in Wind Farm

    Institute of Scientific and Technical Information of China (English)

    戴浪; 黄守道; 黄科元; 叶盛

    2011-01-01

    To solve the problems existing in the wind speed forecasting of wind farms by back propagation (BP) neural network, radial basis function (RBF) neural network and particle swarm optimization (PSO) neural network, a combined wind speed forecasting model based on artificial neural network (ANN) optimized by genetic algorithm (GA) is proposed. This model is a BP neural network with three layers and a one neuron output. The forecasted results of the three mentioned neural networks and the average of the forecasted results are used as the inputs of the combined forecasting model. And the actual value of wind speed is used as the output. The proposed model possesses a forecasting ability after training. The forecasting risk of single neural network can be reduced and the forecasting accuracy can be improved in this model. The simulation results show that the accuracy of the proposed combined forecasting model is higher than any of its single network model and the traditional linear combined forecasting model.%针对BP神经网络、RBF神经网络和粒子群BP神经网络在风电场风速预测中存在的问题,提出一种基于遗传算法优化神经网络的风速组合预测模型.该模型为单输出的3层前馈网络,将3种神经网络的预测结果与预测结果平均值作为神经网络的输入,将实际风速值作为神经网络输出,使学习后的网络具有预测能力.该模型能降低单一模型的预测风险,提高预测精度.仿真结果表明,所提出的组合预测模型的精度高于其中任一单一模型,也高于传统的线性组合预测模型.

  10. An Analysis of Social Seed Network and Its Contribution to On-Farm Conservation of Crop Genetic Diversity in Nepal

    Directory of Open Access Journals (Sweden)

    Diwakar Poudel

    2015-01-01

    Full Text Available Social seed systems are important for the maintenance of crop genetic diversity on farm. This is governed by local and informal system in the community through a farmers’ network. This paper analyses these local seed systems through application of social network analysis tools and mappings and examines the network member and its stability over space and time in a small rice farming community in Nepal. NetDraw software is used for data analysis and network mapping. We found that the dynamic network structure had key role in provisioning of traditional varieties and maintaining of crop genetic diversity on farm. We identify and ascertain the key network members, constituted either as nodal or bridging (connector farmers, occupying central position in the network who promote seed flow of local crop diversity, thus strengthening crop genetic resource diversity on farm.

  11. A generalized nonlinear model-based mixed multinomial logit approach for crash data analysis.

    Science.gov (United States)

    Zeng, Ziqiang; Zhu, Wenbo; Ke, Ruimin; Ash, John; Wang, Yinhai; Xu, Jiuping; Xu, Xinxin

    2017-02-01

    The mixed multinomial logit (MNL) approach, which can account for unobserved heterogeneity, is a promising unordered model that has been employed in analyzing the effect of factors contributing to crash severity. However, its basic assumption of using a linear function to explore the relationship between the probability of crash severity and its contributing factors can be violated in reality. This paper develops a generalized nonlinear model-based mixed MNL approach which is capable of capturing non-monotonic relationships by developing nonlinear predictors for the contributing factors in the context of unobserved heterogeneity. The crash data on seven Interstate freeways in Washington between January 2011 and December 2014 are collected to develop the nonlinear predictors in the model. Thirteen contributing factors in terms of traffic characteristics, roadway geometric characteristics, and weather conditions are identified to have significant mixed (fixed or random) effects on the crash density in three crash severity levels: fatal, injury, and property damage only. The proposed model is compared with the standard mixed MNL model. The comparison results suggest a slight superiority of the new approach in terms of model fit measured by the Akaike Information Criterion (12.06 percent decrease) and Bayesian Information Criterion (9.11 percent decrease). The predicted crash densities for all three levels of crash severities of the new approach are also closer (on average) to the observations than the ones predicted by the standard mixed MNL model. Finally, the significance and impacts of the contributing factors are analyzed.

  12. Trust-Enhanced Cloud Service Selection Model Based on QoS Analysis.

    Science.gov (United States)

    Pan, Yuchen; Ding, Shuai; Fan, Wenjuan; Li, Jing; Yang, Shanlin

    2015-01-01

    Cloud computing technology plays a very important role in many areas, such as in the construction and development of the smart city. Meanwhile, numerous cloud services appear on the cloud-based platform. Therefore how to how to select trustworthy cloud services remains a significant problem in such platforms, and extensively investigated owing to the ever-growing needs of users. However, trust relationship in social network has not been taken into account in existing methods of cloud service selection and recommendation. In this paper, we propose a cloud service selection model based on the trust-enhanced similarity. Firstly, the direct, indirect, and hybrid trust degrees are measured based on the interaction frequencies among users. Secondly, we estimate the overall similarity by combining the experience usability measured based on Jaccard's Coefficient and the numerical distance computed by Pearson Correlation Coefficient. Then through using the trust degree to modify the basic similarity, we obtain a trust-enhanced similarity. Finally, we utilize the trust-enhanced similarity to find similar trusted neighbors and predict the missing QoS values as the basis of cloud service selection and recommendation. The experimental results show that our approach is able to obtain optimal results via adjusting parameters and exhibits high effectiveness. The cloud services ranking by our model also have better QoS properties than other methods in the comparison experiments.

  13. Conceptual framework for model-based analysis of residence time distribution in twin-screw granulation.

    Science.gov (United States)

    Kumar, Ashish; Vercruysse, Jurgen; Vanhoorne, Valérie; Toiviainen, Maunu; Panouillot, Pierre-Emmanuel; Juuti, Mikko; Vervaet, Chris; Remon, Jean Paul; Gernaey, Krist V; De Beer, Thomas; Nopens, Ingmar

    2015-04-25

    Twin-screw granulation is a promising continuous alternative for traditional batchwise wet granulation processes. The twin-screw granulator (TSG) screws consist of transport and kneading element modules. Therefore, the granulation to a large extent is governed by the residence time distribution within each module where different granulation rate processes dominate over others. Currently, experimental data is used to determine the residence time distributions. In this study, a conceptual model based on classical chemical engineering methods is proposed to better understand and simulate the residence time distribution in a TSG. The experimental data were compared with the proposed most suitable conceptual model to estimate the parameters of the model and to analyse and predict the effects of changes in number of kneading discs and their stagger angle, screw speed and powder feed rate on residence time. The study established that the kneading block in the screw configuration acts as a plug-flow zone inside the granulator. Furthermore, it was found that a balance between the throughput force and conveying rate is required to obtain a good axial mixing inside the twin-screw granulator. Although the granulation behaviour is different for other excipients, the experimental data collection and modelling methods applied in this study are generic and can be adapted to other excipients.

  14. Multi-factor Analysis Model for Improving Profit Management Using Excel in Shellfish Farming Projects

    Institute of Scientific and Technical Information of China (English)

    Zhuming; ZHAO; Changlin; LIU; Xiujuan; SHAN; Jin; YU

    2013-01-01

    By using a farm’s data in Yantai City and the theory of Cost-Volume-Profit analysis and the financial management methods,this paper construct a multi-factor analysis model for improving profit management using Excel 2007 in Shellfish farming projects and describes the procedures to construct a multi-factor analysis model.The model can quickly calculate the profit,improve the level of profit management,find out the breakeven point and enhance the decision-making efficiency of businesses etc.It is also a thought of the application to offer suggestions for government decisions and economic decisions for corporations as a simple analysis tool.While effort has been exerted to construct a four-variable model,some equally important variables may not be discussed sufficiently due to limitation of the paper’s space and the authors’knowledge.All variables can be listed in EXCEL 2007 and can be associated in a logical way to manage the profit of shellfish farming projects more efficiently and more practically.

  15. A Real-Time Model-Based Human Motion Tracking and Analysis for Human-Computer Interface Systems

    Directory of Open Access Journals (Sweden)

    Chung-Lin Huang

    2004-09-01

    Full Text Available This paper introduces a real-time model-based human motion tracking and analysis method for human computer interface (HCI. This method tracks and analyzes the human motion from two orthogonal views without using any markers. The motion parameters are estimated by pattern matching between the extracted human silhouette and the human model. First, the human silhouette is extracted and then the body definition parameters (BDPs can be obtained. Second, the body animation parameters (BAPs are estimated by a hierarchical tritree overlapping searching algorithm. To verify the performance of our method, we demonstrate different human posture sequences and use hidden Markov model (HMM for posture recognition testing.

  16. Environmental impact of heavy pig production in a sample of Italian farms. A cradle to farm-gate analysis.

    Science.gov (United States)

    Pirlo, G; Carè, S; Casa, G Della; Marchetti, R; Ponzoni, G; Faeti, V; Fantin, V; Masoni, P; Buttol, P; Zerbinatti, L; Falconi, F

    2016-09-15

    Four breeding piggeries and eight growing-fattening piggeries were analyzed to estimate potential environmental impacts of heavy pig production (>160kg of live height at slaughtering). Life Cycle Assessment methodology was adopted in the study, considering a system from breeding phase to growing fattening phase. Environmental impacts of breeding phase and growing-fattening phase were accounted separately and then combined to obtain the impacts of heavy pig production. The functional unit was 1kg of live weight gain. Impact categories investigated were global warming (GW), acidification (AC), eutrophication (EU), abiotic depletion (AD), and photochemical ozone formation (PO). The total environmental impact of 1kg of live weight gain was 3.3kg CO2eq, 4.9E-2kg SO2eq, 3.1E-2kg PO4(3-)eq, 3.7E-3kg Sbeq, 1.7E-3kg C2H4eq for GW, AC, EU, AD, and PO respectively. Feed production was the main hotspot in all impact categories. Greenhouse gases responsible for GW were mainly CH4, N2O, and CO2. Ammonia was the most important source of AC, sharing about 90%. Nitrate and NH3 were the main emissions responsible for EU, whereas P and NOx showed minor contributions. Crude oil and natural gas consumption was the main source of AD. A large spectrum of pollutants had a significant impact on PO: they comprised CH4 from manure fermentation, CO2 caused by fossil fuel combustion in agricultural operations and industrial processes, ethane and propene emitted during oil extraction and refining, and hexane used in soybean oil extraction. The farm characteristics that best explained the results were fundamentally connected with performance indicators Farms showed a wide variability of results, meaning that there was wide margin for improving the environmental performance of either breeding or growing-fattening farms. The effectiveness of some mitigation measures was evaluated and the results that could be obtained by their introduction have been presented.

  17. The colonial farm house of Shuracpamba: an architectural from a stratigraphic analysis

    Directory of Open Access Journals (Sweden)

    María del Cisne Aguirre Ullauri

    2017-01-01

    Full Text Available Shuracpamba, a colonial farm located in southern Ecuador, has remained in anonimity. With the aim of making some of the particularities of this architectural complex; tasks such as bibiliographic research and in situ recognition of the preserved building have been carried out. This research is one of the few texts that addresses the object and some of its multiple dimensions, although partially, by constructing its historical and historical-constructive sequence, and tying them in with some social and historical connections. Additionally, this is the first research to test the statigraphic constructive methodological analysis by evidencing five building campaigns, materials and techniques used.

  18. A PLS model based on dominant factor for coal analysis using laser-induced breakdown spectroscopy.

    Science.gov (United States)

    Feng, Jie; Wang, Zhe; West, Logan; Li, Zheng; Ni, Weidou

    2011-07-01

    Thirty-three bituminous coal samples were utilized to test the application of laser-induced breakdown spectroscopy technique for coal elemental concentration measurement in the air. The heterogeneity of the samples and the pyrolysis or combustion of coal during the laser-sample interaction processes were analyzed to be the main reason for large fluctuation of detected spectra and low calibration quality. Compared with the generally applied normalization with the whole spectral area, normalization with segmental spectral area was found to largely improve the measurement precision and accuracy. The concentrations of major element C in coal were determined by a novel partial least squares (PLS) model based on dominant factor. Dominant C concentration information was taken from the carbon characteristic line intensity since it contains the most-related information, even if not accurately. This dominant factor model was further improved by inducting non-linear relation by partially modeling the inter-element interference effect. The residuals were further corrected by PLS with the full spectrum information. With the physical-principle-based dominant factor to calculate the main quantitative information and to partially explicitly include the non-linear relation, the proposed PLS model avoids the overuse of unrelated noise to some extent and becomes more robust over a wider C concentration range. Results show that RMSEP in the proposed PLS model decreased to 4.47% from 5.52% for the conventional PLS with full spectrum input, while R(2) remained as high as 0.999, and RMSEC&P was reduced from 3.60% to 2.92%, showing the overall improvement of the proposed PLS model.

  19. Techno-economical Analysis of Rooftop Grid-connected PV Dairy Farms; Case Study of Urmia University Dairy Farm

    Science.gov (United States)

    Nikbakht, A. M.; Aste, N.; Sarnavi, H. J.; Leonforte, F.

    2017-08-01

    The global trends indicate a growing commitment to renewable energy development because of declining fossil fuels and environmental threats. Moreover, the global demographic growth coupled with rising demands for food has escalated the rate of energy consumption in food section. This study aims to investigate the techno-economic impacts of a grid-connected rooftop PV plan applied for a educational dairy farm in Urmia university, with total estimated annual electrical energy consumption of 18,283 kWh, located at the north west part of Iran. Based on the current feed-in tariff and tremendously low electricity price in agriculture section in Iran, the plants with size ranged from 14.4 to 19.7 kWp (initial investment ranged from 26,000 to 36,000 USD) would be satisfied economically.

  20. Antibiotic resistance profile and RAPD analysis of Campylobacter jejuni isolated from vegetables farms and retail markets

    Institute of Scientific and Technical Information of China (English)

    John Yew Huat Tang; Mohd Ikhsan Khalid; Syazana Aimi; Che Abdullah Abu-Bakar; Son Radu

    2016-01-01

    Objective: To investigate antibiotic resistance profile and characterize Campylobacter jejuni (C. jejuni) isolates using random amplified polymorphic DNA (RAPD) analysis. Methods: Ninety eight C. jejuni isolates from farms and retail outlets were screened against 10 antibiotics commonly used clinically and agriculturally by using disk diffusion method. RAPD analysis was done to characterize 98 C. jejuni isolates. Results: Fifty-one percent of the isolates had multiple antibiotic resistance index 0.2 and below. This indicated that the isolates in the vegetables were not from the high risk environment or extensive farming practices. C. jejuni isolates found resistant towards penicillin G (93%), vancomycin (86%), ampicillin (35%), erythromycin (28%), genta-mycin (4%), amikacin (3%), enrofloxacin (1%), norfloxacin (1%) and no resistance to-wards ciprofloxacin. RAPD clustering analysis showed that the contamination of C. jejuni in vegetables was likely due to cross contamination at retail markets. Conclusions: C. jejuni contamination in vegetables at retail markets was due to cross contamination. Current finding proved that C. jejuni in small scale vegetables production was less expose towards antibiotic abuse.

  1. Antibiotic resistance profile and RAPD analysis of Campylobacter jejuni isolated from vegetables farms and retail markets

    Institute of Scientific and Technical Information of China (English)

    John Yew Huat Tang; Mohd Ikhsan Khalid; Syazana Aimi; Che Abdullah Abu-Bakar; Son Radu

    2016-01-01

    Objective:To investigate antibiotic resistance profile and characterize Campylobacter jejuni(C.jejuni) isolates using random amplified polymorphic DNA(RAPD) analysis.Methods:Ninety eight C.jejuni isolates from farms and retail outlets were screened against 10 antibiotics commonly used clinically and agriculturally by using disk diffusion method.RAPD analysis was done to characterize 98 C.jejuni isolates.Results:Fifty-one percent of the isolates had multiple antibiotic resistance index 0.2 and below.This indicated that the isolates in the vegetables were not from the high risk environment or extensive farming practices.C.jejuni isolates found resistant towards penicillin G(93%),vancomycin(86%),ampicillin(35%),erythromycin(28%),gentamycin(4%),amikacin(3%),enrofloxacin(1%),norfloxacin(1%) and no resistance towards ciprofloxacin.RAPD clustering analysis showed that the contamination of C.jejuni in vegetables was likely due to cross contamination at retail markets.Conclusions:C.jejuni contamination in vegetables at retail markets was due to cross contamination.Current finding proved that C.jejuni in small scale vegetables production was less expose towards antibiotic abuse.

  2. Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications.

    Science.gov (United States)

    Murphy, Thomas Brendan; Dean, Nema; Raftery, Adrian E

    2010-03-01

    Food authenticity studies are concerned with determining if food samples have been correctly labelled or not. Discriminant analysis methods are an integral part of the methodology for food authentication. Motivated by food authenticity applications, a model-based discriminant analysis method that includes variable selection is presented. The discriminant analysis model is fitted in a semi-supervised manner using both labeled and unlabeled data. The method is shown to give excellent classification performance on several high-dimensional multiclass food authenticity datasets with more variables than observations. The variables selected by the proposed method provide information about which variables are meaningful for classification purposes. A headlong search strategy for variable selection is shown to be efficient in terms of computation and achieves excellent classification performance. In applications to several food authenticity datasets, our proposed method outperformed default implementations of Random Forests, AdaBoost, transductive SVMs and Bayesian Multinomial Regression by substantial margins.

  3. Radiometric analysis of farmed fish (sea bass, gilthead bream, and rainbow trout) from Tenerife Island, Spain.

    Science.gov (United States)

    Jalili, A; López-Pérez, M; Karlsson, L; Hernández, F; Rubio, C; Hernández-Armas, J; Hardisson, A

    2009-09-01

    This study analyzed the content of gamma-emitting radionuclides in fish farmed on the island of Tenerife (Canary Islands, Spain). The fish species included in this study were sea bass, gilthead bream, and rainbow trout. The first two species are produced in offshore enclosures, while the third is produced in a freshwater fish farm. All measurements were performed using two high-purity germanium gamma-ray detectors. The content of gamma-emitting radionuclides in the fodder used to feed the different species of farmed fish studied was also determined. The following nuclides were often detected in the analyzed samples: 137Cs, 40K, 235U, 228Ac, 214Bi, 208Tl, 212Pb, and 214Pb. As a complement to this analysis, 210Po concentrations in two fish samples were determined by alpha spectrometry. The nuclide presenting the highest concentration was, as expected, the naturally occurring 40K, with an average concentration of 0.13 +/- 0.01 Bq/g (wet weight) (Bq/gww) in gilthead bream and sea bass and 0.12 +/- 0.01 Bq/gww in rainbow trout. The 235U concentrations determined in the same fish species were 0.6 +/- 0.5, 0.8 +/- 0.7, and 1.6 +/- 1.0 mBq/gww, respectively. This nuclide is seldom reported in fish samples. The concentrations of 137Cs (the only artificial nuclide determined in this study) in gilthead bream and sea bass were 0.026 +/- 0.006 and 0.044 +/- 0.01 mBq/gww, respectively. In addition to the radiometric analysis, the contribution of the analyzed nuclides to the effective dose from the mean daily intake of the fish was calculated. The calculated contribution, in terms of dose per person, produced by intake of the analyzed fish was 0.8 microSv/year. This value does not represent a significant risk to the local population.

  4. Analysis of Factors Influencing Labour Supplied to Non-Farm Sub ...

    African Journals Online (AJOL)

    acer

    Multi-stage sampling technique was used to select ... Keywords: Factors, Labour, Non-farm Sub-sector, Households, Adamawa State, Nigeria. .... Probability that household member will supply number of workdays to the non-farm sub-sector ...

  5. A two-dimensional analytical-model-based comparative threshold performance analysis of SOI-SON MOSFETs

    Institute of Scientific and Technical Information of China (English)

    Sanjoy Deb; Saptarsi Ghosh; N Basanta Singh; A K De; Subir Kumar Sarkar

    2011-01-01

    A generalized threshold voltage model based on two-dimensional Poisson analysis has been developed for SOI/SON MOSFETs.Different short channel field effects,such as fringing fields,junction-induced lateral fields and substrate fields,are carefully investigated,and the related drain-induced barrier-lowering effects are incorporated in the analytical threshold voltage model.Through analytical model-based simulation,the threshold voltage roll-off and subthreshold slope for both structures are compared for different operational and structural parameter variations.Results of analytical simulation are compared with the results of the ATLAS 2D physicsbased simulator for verification of the analytical model.The performance of an SON MOSFET is found to be significantly different from a conventional SOI MOSFET.The short channel effects are found to be reduced in an SON,thereby resulting in a lower threshold voltage roll-offand a smaller subthreshold slope.This type of analysis is quite useful to figure out the performance improvement of SON over SOI structures for next generation short channel MOS devices.

  6. A model-based framework for the analysis of team communication in nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    Chung, Yun Hyung [Knowledge and Information Management Department, Korea Institute of Nuclear Safety, 19 Guseong-Dong, Yuseong-Gu, Daejeon 335-338 (Korea, Republic of)], E-mail: yhchung@kins.re.kr; Yoon, Wan Chul [Intelligent Service Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-Dong, Yuseong-Gu, Daejeon 305-701 (Korea, Republic of); Min, Daihwan [Department of MIS, Korea University, 208 Seochang-Dong, Jochiwon-Eup, Yongi-Gun, Choongnam 339-700 (Korea, Republic of)

    2009-06-15

    Advanced human-machine interfaces are rapidly changing the interaction between humans and systems, with the level of abstraction of the presented information, the human task characteristics, and the modes of communication all affected. To accommodate the changes in the human/system co-working environment, an extended communication analysis framework is needed that can describe and relate the tasks, verbal exchanges, and information interface. This paper proposes an extended analytic framework, referred to as the H-H-S (human-human-system) communication analysis framework, which can model the changes in team communication that are emerging in these new working environments. The stage-specific decision-making model and analysis tool of the proposed framework make the analysis of team communication easier by providing visual clues. The usefulness of the proposed framework is demonstrated with an in-depth comparison of the characteristics of communication in the conventional and advanced main control rooms of nuclear power plants.

  7. Econometric analysis of the effects of subsidies on farm production in case of endogenous input quantities

    DEFF Research Database (Denmark)

    Henningsen, Arne; Kumbhakar, Subal C.; Lien, Gudbrand

    The effect of subsidies on farm production has been a major topic in agricultural economics for several decades. We present a new approach for analyzing the effects of different types of coupled and decoupled subsidies on farm production with econometric methods. In contrast to most previous...... studies, our approach is entirely based on a theoretical microeconomic model, explicitly allows subsidies to have an impact on input use, and takes linkages between the farm and the farm household into account....

  8. Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis

    Science.gov (United States)

    Walter, William D.; Smith, Rick; Vanderklok, Mike; VerCauterren, Kurt C.

    2014-01-01

    Bovine tuberculosis is a bacterial disease caused by Mycobacterium bovis in livestock and wildlife with hosts that include Eurasian badgers (Meles meles), brushtail possum (Trichosurus vulpecula), and white-tailed deer (Odocoileus virginianus). Risk-assessment efforts in Michigan have been initiated on farms to minimize interactions of cattle with wildlife hosts but research onM. bovis on cattle farms has not investigated the spatial context of disease epidemiology. To incorporate spatially explicit data, initial likelihood of infection probabilities for cattle farms tested for M. bovis, prevalence of M. bovis in white-tailed deer, deer density, and environmental variables for each farm were modeled in a Bayesian hierarchical framework. We used geo-referenced locations of 762 cattle farms that have been tested for M. bovis, white-tailed deer prevalence, and several environmental variables that may lead to long-term survival and viability of M. bovis on farms and surrounding habitats (i.e., soil type, habitat type). Bayesian hierarchical analyses identified deer prevalence and proportion of sandy soil within our sampling grid as the most supported model. Analysis of cattle farms tested for M. bovisidentified that for every 1% increase in sandy soil resulted in an increase in odds of infection by 4%. Our analysis revealed that the influence of prevalence of M. bovis in white-tailed deer was still a concern even after considerable efforts to prevent cattle interactions with white-tailed deer through on-farm mitigation and reduction in the deer population. Cattle farms test positive for M. bovis annually in our study area suggesting that the potential for an environmental source either on farms or in the surrounding landscape may contributing to new or re-infections with M. bovis. Our research provides an initial assessment of potential environmental factors that could be incorporated into additional modeling efforts as more knowledge of deer herd

  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. THE ANALYSIS OF SEMI INTENSIVE NATIVE CHICKEN FARMING IN RURAL COMMUNITIES

    Directory of Open Access Journals (Sweden)

    E. Wantasen

    2015-04-01

    Full Text Available The study was aimed to determine the income for semi intensive native chicken farming and todetermine the factors influence it. The study was conducted by survey method and direct interview usingquestionnaire to 35 members of farmers group “Poyuyanan” in Poyowa Besar Village, SouthKotamobagu Dstrict North Sulawesi Province. Data were analyzed by using descriptive and quantitativeanalysis using multiple regression analysis of Cobb-Douglass model. The result showed that farmer withan average ownership of 8 hens could obtain income equivalent to 37.9 kg of rice per month. Theregression analysis showed that altogether the dependent variables had effect to income as much 81.2%(R2 = 0.821. Partially variables that could increase farmers’ income were hatching rate, number ofproductive hen, cost of production and number of eggs hatched. Mortality was the only variable thatdecreased farmers’ income. Cost of production in semi intensive native chicken farming which mainlyfor buying feed could increase the production and income for farmers that in turn would support foodavailability of rural communities in Poyowa Besar Villages

  11. Computer-Aided Model Based Analysis for Design and Operation of a Copolymerization Process

    DEFF Research Database (Denmark)

    Lopez-Arenas, Maria Teresa; Sales-Cruz, Alfonso Mauricio; Gani, Rafiqul

    2006-01-01

    The advances in computer science and computational algorithms for process modelling, process simulation, numerical methods and design/synthesis algorithms, makes it advantageous and helpful to employ computer-aided modelling systems and tools for integrated process analysis. This is illustrated....... This will allow analysis of the process behaviour, contribute to a better understanding of the polymerization process, help to avoid unsafe conditions of operation, and to develop operational and optimizing control strategies. In this work, through a computer-aided modeling system ICAS-MoT, two first......, the process design and conditions of operation on the polymer grade and the production rate....

  12. Occurrence and molecular analysis of Campylobacter in wildlife on livestock farms.

    Science.gov (United States)

    Sippy, Rachel; Sandoval-Green, Claudette M J; Sahin, Orhan; Plummer, Paul; Fairbanks, W Sue; Zhang, Qijing; Blanchong, Julie A

    2012-06-15

    Wildlife harbor a variety of Campylobacter spp. and may play a significant role in the transmission of Campylobacter to livestock. Although studies have been conducted on wildlife-associated Campylobacter isolates from farms in other countries, there are little data available for livestock farms in the United States. In addition, the critical questions of whether wildlife harbor Campylobacter that is pathogenic to ruminants and/or antibiotic-resistant Campylobacter have yet to be addressed. We captured wild small mammals (n=142) and small birds (n=188) at livestock farms in central Iowa and sampled them for thermophilic Campylobacter during autumn 2009, spring 2010, and autumn 2010. Overall prevalence was 4.79%, with isolates found only in wild birds. Molecular typing revealed four multilocus sequence types (STs), three of which are novel. The remaining ST (ST-806) was found in two house sparrows and is an ST previously associated with ruminant abortion cases. Further analysis of ST-806 wild bird and ruminant abortion isolates by pulsed-field gel electrophoresis, resistance gene location, and antibiotic susceptibility tests indicated that the isolates are nearly identical. This is the first account of isolation of Campylobacter types from wild birds that are known to be pathogenic to ruminants. Furthermore, these same two wild bird isolates are resistant to the antibiotic fluoroquinolone. Our results indicate there is an overall low prevalence of Campylobacter in selected wildlife in Iowa, but suggest that wildlife may play a role in the epidemiology of pathogenic Campylobacter for domestic livestock, and may also serve as a reservoir for antibiotic-resistant Campylobacter.

  13. Arabica Coffee Farming and Marketing Chain Analysis in Manggarai and EastManggarai Districts

    Directory of Open Access Journals (Sweden)

    Dhiany. Faila Sophia Hartatri

    2011-05-01

    Full Text Available Arabica coffee has a unique flavour and very potential market. The purpose of this study was to analyse Arabica coffee farming and to investigate its performance of marketing chains in Manggarai and East Manggarai Districts, Flores, East Nusa Tenggara Province. This research was conducted in 2008-2010 by interviewing coffee farmers and coffee buyers; using open and close questions. The number of respondents were 100 people in each district. The result showed that land holding per household farmer in Manggarai and East Manggarai were 0.84 ha and 0.92 ha, respectively. Farmers in both districts were within the range of productive age, the farmers who were members of farmer groups in both study sites was £ 50%. Arabica coffee cultivation was still done in a traditional way. Fertilizing and controlling of pest and diseases had not been carried out inten sively. Arabica coffee farming in both district was feasible. BCR, NPV and IRR values in Manggarai were 4.2, Rp8,530,105, and 70.76% respectively, while BCR, NPV, and IRR value in East Manggarai district were 8.1, Rp2,465,833, and 27%, respectively. BEP production and coffee price in Manggarai were 94.2 kg/ha/th and Rp15,913/kg respectively, whereas BEP production and coffee price in East Manggarai were 78,2 kg/ha/th and Rp10,134/kg, respectively. In general, farmers sold their coffee in green bean form. In general, the marketing chains of Arabica coffee in both districts was farmer – collector - trader - exporter.Key words: Arabica coffee, potential market, farming analysis, feasible, marketing chains.

  14. Model-based time-series analysis of FIA panel data absent re-measurements

    Science.gov (United States)

    Raymond L. Czaplewski; Mike T. Thompson

    2013-01-01

    An epidemic of lodgepole pine (Pinus contorta) mortality from the mountain pine beetle (Dendroctonus ponderosae) has swept across the Interior West. Aerial surveys monitor the areal extent of the epidemic, but only Forest Inventory and Analysis (FIA) field data support a detailed assessment at the tree level. Dynamics of the lodgepole pine population occur at a more...

  15. Change Impact Analysis for SysML Requirements Models based on Semantics of Trace Relations

    NARCIS (Netherlands)

    Hove, ten David; Göknil, Arda; Kurtev, Ivan; Berg, van den Klaas; Goede, de Koos; Oldevik, J.; Olsen, G. K.; Neple, T.; Kolovos, D.

    2009-01-01

    Change impact analysis is one of the applications of requirements traceability in software engineering community. In this paper, we focus on requirements and requirements relations from traceability perspective. We provide formal definitions of the requirements relations in SysML for change impact a

  16. Analysis of Farms Performance Using Different Sources of Irrigation Water: A Case Study in a Semi-Arid Area

    Directory of Open Access Journals (Sweden)

    Hayat Lionboui

    2016-06-01

    Full Text Available I mproving production efficiency is the main objective of government action to avoid efficiency losses and to increase the income of farmers. The aim of this study was to analyze performance levels of farms in the irrigated perimeter of Tadla in Morocco, according to the source of irrigation water. Thus, technical, allocative and economic efficiency were analyzed for farms in this area. To estimate the efficiency indices, the approach adopted is based on Data Envelopment Analysis method. Sixty samples of farms were chosen according to the mode of access to irrigation water. The results showed significant variability in technical, allocative and economic efficiency between the observed farms. The source of irrigation water is an important determinant of farm performance in the Tadla region. Thus, the average of economic efficiency varies between 45% and 83% according to the source of irrigation water. In terms of water valuation, farms that use only groundwater achieve a better value of irrigation water (2.19 MAD1 /m3 in comparison with those that combine between surface and groundwater and those which are limited to the use of surface water.

  17. Model-based schedulability analysis of safety critical hard real-time Java programs

    DEFF Research Database (Denmark)

    Bøgholm, Thomas; Kragh-Hansen, Henrik; Olsen, Petur

    2008-01-01

    In this paper, we present a novel approach to schedulability analysis of Safety Critical Hard Real-Time Java programs. The approach is based on a translation of programs, written in the Safety Critical Java profile introduced in [21] for the Java Optimized Processor [18], to timed automata models...... has been implemented in a tool, named SARTS, successfully used to verify the schedulability of a real-time sorting machine consisting of two periodic and two sporadic tasks. SARTS has also been applied on a number of smaller examples to investigate properties of our approach.......In this paper, we present a novel approach to schedulability analysis of Safety Critical Hard Real-Time Java programs. The approach is based on a translation of programs, written in the Safety Critical Java profile introduced in [21] for the Java Optimized Processor [18], to timed automata models...

  18. Analysis and synthesis for interval type-2 fuzzy-model-based systems

    CERN Document Server

    Li, Hongyi; Lam, Hak-Keung; Gao, Yabin

    2016-01-01

    This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.

  19. Morphological Comparison and Composition Analysis of Wild and Farmed Eucheuma gelatinae in Hainan Province

    Institute of Scientific and Technical Information of China (English)

    Hou Ping; Li Ming; Chen Dongmei; Ma Jun

    2015-01-01

    The morphology and compositions of wild and farmed Eucheuma gelatinae in Hainan Province were compared. The results showed that wild E. gelatinae had greater frond,with more and longer branches. The main compositions of wild and farmed E. gelatinae were carbohydrates composed of dietary fiber and soluble sugars. The wild E. gelatinae had higher soluble sugar content than farmed E. gelatinae,while farmed E. gelatinae had higher dietary fiber and carrageenan yield.Both of wild and farmed E. gelatinae had advantages and disadvantages,and we could choose the best raw materials according to the actual application.

  20. Model-based analysis of the effect of different operating conditions on fouling mechanisms in a membrane bioreactor.

    Science.gov (United States)

    Sabia, Gianpaolo; Ferraris, Marco; Spagni, Alessandro

    2016-01-01

    This study proposes a model-based evaluation of the effect of different operating conditions with and without pre-denitrification treatment and applying three different solids retention times on the fouling mechanisms involved in membrane bioreactors (MBRs). A total of 11 fouling models obtained from literature were used to fit the transmembrane pressure variations measured in a pilot-scale MBR treating real wastewater for more than 1 year. The results showed that all the models represent reasonable descriptions of the fouling processes in the MBR tested. The model-based analysis confirmed that membrane fouling started by pore blocking (complete blocking model) and by a reduction of the pore diameter (standard blocking) while cake filtration became the dominant fouling mechanism over long-term operation. However, the different fouling mechanisms occurred almost simultaneously making it rather difficult to identify each one. The membrane "history" (i.e. age, lifespan, etc.) seems the most important factor affecting the fouling mechanism more than the applied operating conditions. Nonlinear regression of the most complex models (combined models) evaluated in this study sometimes demonstrated unreliable parameter estimates suggesting that the four basic fouling models (complete, standard, intermediate blocking and cake filtration) contain enough details to represent a reasonable description of the main fouling processes occurring in MBRs.

  1. Model-based analysis of multi-shell diffusion MR data for tractography: How to get over fitting problems

    Science.gov (United States)

    Jbabdi, Saad; Sotiropoulos, Stamatios N; Savio, Alexander M; Graña, Manuel; Behrens, Timothy EJ

    2012-01-01

    In this article, we highlight an issue that arises when using multiple b-values in a model-based analysis of diffusion MR data for tractography. The non-mono-exponential decay, commonly observed in experimental data, is shown to induce over-fitting in the distribution of fibre orientations when not considered in the model. Extra fibre orientations perpendicular to the main orientation arise to compensate for the slower apparent signal decay at higher b-values. We propose a simple extension to the ball and stick model based on a continuous Gamma distribution of diffusivities, which significantly improves the fitting and reduces the over-fitting. Using in-vivo experimental data, we show that this model outperforms a simpler, noise floor model, especially at the interfaces between brain tissues, suggesting that partial volume effects are a major cause of the observed non-mono-exponential decay. This model may be helpful for future data acquisition strategies that may attempt to combine multiple shells to improve estimates of fibre orientations in white matter and near the cortex. PMID:22334356

  2. The BES data offline analysis platform on the PC-farm The BES is stated for Beijing Energy Spectroment

    CERN Document Server

    LiuTianRong

    2002-01-01

    Introduction of the construction of BES data offline analysis platform created by the PC-Farm, the set up of the hardware and the software, the environment of the BES data offline analysis and the software for the management of the jobs are presented. The preliminary results comparison between two platform are given

  3. An approach to holistically assess (dairy) farm eco-efficiency by combining Life Cycle Analysis with Data Envelopment Analysis models and methodologies.

    Science.gov (United States)

    Soteriades, A D; Faverdin, P; Moreau, S; Charroin, T; Blanchard, M; Stott, A W

    2016-11-01

    Eco-efficiency is a useful guide to dairy farm sustainability analysis aimed at increasing output (physical or value added) and minimizing environmental impacts (EIs). Widely used partial eco-efficiency ratios (EIs per some functional unit, e.g. kg milk) can be problematic because (i) substitution possibilities between EIs are ignored, (ii) multiple ratios can complicate decision making and (iii) EIs are not usually associated with just the functional unit in the ratio's denominator. The objective of this study was to demonstrate a 'global' eco-efficiency modelling framework dealing with issues (i) to (iii) by combining Life Cycle Analysis (LCA) data and the multiple-input, multiple-output production efficiency method Data Envelopment Analysis (DEA). With DEA each dairy farm's outputs and LCA-derived EIs are aggregated into a single, relative, bounded, dimensionless eco-efficiency score, thus overcoming issues (i) to (iii). A novelty of this study is that a model providing a number of additional desirable properties was employed, known as the Range Adjusted Measure (RAM) of inefficiency. These properties altogether make RAM advantageous over other DEA models and are as follows. First, RAM is able to simultaneously minimize EIs and maximize outputs. Second, it indicates which EIs and/or outputs contribute the most to a farm's eco-inefficiency. Third it can be used to rank farms in terms of eco-efficiency scores. Thus, non-parametric rank tests can be employed to test for significant differences in terms of eco-efficiency score ranks between different farm groups. An additional DEA methodology was employed to 'correct' the farms' eco-efficiency scores for inefficiencies attributed to managerial factors. By removing managerial inefficiencies it was possible to detect differences in eco-efficiency between farms solely attributed to uncontrollable factors such as region. Such analysis is lacking in previous dairy studies combining LCA with DEA. RAM and the 'corrective

  4. Summary Report: The Shadow effect of large wind farms: measurements, data analysis and modelling

    DEFF Research Database (Denmark)

    Frandsen, Sten Tronæs; Barthelmie, Rebecca Jane; Rathmann, Ole;

    It was the goal of the project – by means of data from the demonstration wind farms Horns Rev and Nysted, analyses of these data and modelling – to facilitate prediction of the power losses from a wind farm should a new wind farm be built upwind relative to the prevailing wind direction. Or conve......It was the goal of the project – by means of data from the demonstration wind farms Horns Rev and Nysted, analyses of these data and modelling – to facilitate prediction of the power losses from a wind farm should a new wind farm be built upwind relative to the prevailing wind direction....... The databases – one for each site – include production and operational statistics for the wind turbines and statistics for the meteorological measurements carries out in the vicinity of the wind farms. Several different modelling activities were carried out, which intentionally to some extent are redundant...

  5. Model-based analysis of N-glycosylation in Chinese hamster ovary cells

    DEFF Research Database (Denmark)

    Krambeck, Frederick J.; Bennun, Sandra V; Andersen, Mikael Rørdam

    2017-01-01

    in glycan structure. In this study we utilize an updated version of this model to provide a comprehensive analysis of N-glycosylation in ten Chinese hamster ovary (CHO) cell lines that include a wild type parent and nine mutants of CHO, through interpretation of previously published mass spectrometry data......The Chinese hamster ovary (CHO) cell is the gold standard for manufacturing of glycosylated recombinant proteins for production of biotherapeutics. The similarity of its glycosylation patterns to the human versions enable the products of this cell line favorable pharmacokinetic properties and lower...

  6. Sediment transport modelling based on grain size trend analysis in Augusta Harbour (Sicily)

    Science.gov (United States)

    Barbera, Giuseppe; Feo, Roberto; Freni, Gabriele

    2015-12-01

    To support marine civil engineer in pollutant studies, sediment management or dredging operations, is useful to know how the sediments move in accumulation basin. This paper investigates the dynamic of the sediment path using a two-dimensional numeric model: the Grain Size Trend Analysis (GSTA). The GSTA was applied using GiSedTrend plugin, under GIS software. The case study is the Augusta Harbour, which is one of the most polluted Italian harbours. It is the marine part of the Site of National Interest (SNI) of Priolo Gargallo (Siracusa, Italy) and it can be hydrodynamically considered as a lagoon. Two scenarios were obtained by using different geostatistical criteria.

  7. [Simulation and data analysis of stereological modeling based on virtual slices].

    Science.gov (United States)

    Wang, Hao; Shen, Hong; Bai, Xiao-yan

    2008-05-01

    To establish a computer-assisted stereological model for simulating the process of slice section and evaluate the relationship between section surface and estimated three-dimensional structure. The model was designed by mathematic method as a win32 software based on the MFC using Microsoft visual studio as IDE for simulating the infinite process of sections and analysis of the data derived from the model. The linearity of the fitting of the model was evaluated by comparison with the traditional formula. The win32 software based on this algorithm allowed random sectioning of the particles distributed randomly in an ideal virtual cube. The stereological parameters showed very high throughput (>94.5% and 92%) in homogeneity and independence tests. The data of density, shape and size of the section were tested to conform to normal distribution. The output of the model and that from the image analysis system showed statistical correlation and consistency. The algorithm we described can be used for evaluating the stereologic parameters of the structure of tissue slices.

  8. Assessment of municipal solid waste settlement models based on field-scale data analysis.

    Science.gov (United States)

    Bareither, Christopher A; Kwak, Seungbok

    2015-08-01

    An evaluation of municipal solid waste (MSW) settlement model performance and applicability was conducted based on analysis of two field-scale datasets: (1) Yolo and (2) Deer Track Bioreactor Experiment (DTBE). Twelve MSW settlement models were considered that included a range of compression behavior (i.e., immediate compression, mechanical creep, and biocompression) and range of total (2-22) and optimized (2-7) model parameters. A multi-layer immediate settlement analysis developed for Yolo provides a framework to estimate initial waste thickness and waste thickness at the end-of-immediate compression. Model application to the Yolo test cells (conventional and bioreactor landfills) via least squares optimization yielded high coefficient of determinations for all settlement models (R(2)>0.83). However, empirical models (i.e., power creep, logarithmic, and hyperbolic models) are not recommended for use in MSW settlement modeling due to potential non-representative long-term MSW behavior, limited physical significance of model parameters, and required settlement data for model parameterization. Settlement models that combine mechanical creep and biocompression into a single mathematical function constrain time-dependent settlement to a single process with finite magnitude, which limits model applicability. Overall, all models evaluated that couple multiple compression processes (immediate, creep, and biocompression) provided accurate representations of both Yolo and DTBE datasets. A model presented in Gourc et al. (2010) included the lowest number of total and optimized model parameters and yielded high statistical performance for all model applications (R(2)⩾0.97).

  9. Cohesive Zone Model Based Numerical Analysis of Steel-Concrete Composite Structure Push-Out Tests

    Directory of Open Access Journals (Sweden)

    J. P. Lin

    2014-01-01

    Full Text Available Push-out tests were widely used to determine the shear bearing capacity and shear stiffness of shear connectors in steel-concrete composite structures. The finite element method was one efficient alternative to push-out testing. This paper focused on a simulation analysis of the interface between concrete slabs and steel girder flanges as well as the interface of the shear connectors and the surrounding concrete. A cohesive zone model was used to simulate the tangential sliding and normal separation of the interfaces. Then, a zero-thickness cohesive element was implemented via the user-defined element subroutine UEL in the software ABAQUS, and a multiple broken line mode was used to define the constitutive relations of the cohesive zone. A three-dimensional numerical analysis model was established for push-out testing to analyze the load-displacement curves of the push-out test process, interface relative displacement, and interface stress distribution. This method was found to accurately calculate the shear capacity and shear stiffness of shear connectors. The numerical results showed that the multiple broken lines mode cohesive zone model could describe the nonlinear mechanical behavior of the interface between steel and concrete and that a discontinuous deformation numerical simulation could be implemented.

  10. Model Based Threat and Vulnerability Analysis of E-Governance Systems

    Directory of Open Access Journals (Sweden)

    Shilpi Saha

    2010-06-01

    Full Text Available The strategic and contemporary importance of e-governance has been recognized across the world. In India too, various ministries of Govt. of India and State Governments have taken e-governance initiatives to provide e-services to citizens and the business they serve. To achieve the mission objectives, and make such e-governance initiatives successful it would be necessary to improve the trust and confidence of the stakeholders. It is assumed that the delivery of government services will share the same public network information that is being used in the community at large. In particular, the Internet will be the principal means by which public access to government and government services will be achieved. To provide the security measures main aim is to identify all possible threats and vulnerabilities according to the data locations and then according to the models of Nath’s approach. Based on this analysis, the security requirements of the data and the applications have been formulated in the form of security parameters like confidentiality, integrity and availability. This analysis leads to the security architecture of the specific G2C application.

  11. Model Based User's Access Requirement Analysis of E-Governance Systems

    Science.gov (United States)

    Saha, Shilpi; Jeon, Seung-Hwan; Robles, Rosslin John; Kim, Tai-Hoon; Bandyopadhyay, Samir Kumar

    The strategic and contemporary importance of e-governance has been recognized across the world. In India too, various ministries of Govt. of India and State Governments have taken e-governance initiatives to provide e-services to citizens and the business they serve. To achieve the mission objectives, and make such e-governance initiatives successful it would be necessary to improve the trust and confidence of the stakeholders. It is assumed that the delivery of government services will share the same public network information that is being used in the community at large. In particular, the Internet will be the principal means by which public access to government and government services will be achieved. To provide the security measures main aim is to identify user's access requirement for the stakeholders and then according to the models of Nath's approach. Based on this analysis, the Govt. can also make standards of security based on the e-governance models. Thus there will be less human errors and bias. This analysis leads to the security architecture of the specific G2C application.

  12. Molecular survey and sequence analysis of Anaplasma spp. in cattle and ticks in a Malaysian farm.

    Science.gov (United States)

    Tay, S T; Koh, F X; Kho, K L; Ong, B L

    2014-12-01

    This study was conducted to determine the occurrence of Anaplasma spp. in the blood samples of cattle, goats, deer and ticks in a Malaysian farm. Using polymerase chain reaction (PCR) and sequencing approach, Anaplasma spp. was detected from 81(84.4%) of 96 cattle blood samples. All blood samples from 23 goats and 22 deer tested were negative. Based on the analysis of the Anaplasma partial 16S ribosomal RNA gene, four sequence types (genotypes 1 to 4) were identified in this study. Genotypes 1-3 showed high sequence similarity to those of Anaplasma platys/ Anaplasma phagocytophilum, whilst genotype 4 was identical to those of Anaplasma marginale/ Anaplasma centrale/ Anaplasma ovis. Anaplasma DNA was detected from six (5.5%) of 109 ticks which were identified as Rhipicephalus (formely known as Boophilus) microplus ticks collected from the cattle. This study reported for the first time the detection of four Anaplasma sequence types circulating in the cattle population in a farm in Malaysia. The detection of Anaplasma DNA in R. microplus ticks in this study provides evidence that the ticks are one of the potential vectors for transmission of anaplasmosis in the cattle.

  13. Wind Power in Mexico: Simulation of a Wind Farm and Application of Probabilistic Safety Analysis

    Directory of Open Access Journals (Sweden)

    C. Martín del Campo–Márquez

    2009-10-01

    Full Text Available The most important aspects of wind energy in Mexico, including the potential for generating electricity and the major projects planned are presented here. Inparticular, the generation costs are compared to those of other energy sources. The results from the simulation of a 100 MWwind farm in the Tehuantepec Isthmus are also presented. In addition, the environmental impacts related to the wind farm in the mentioned zone are analyzed. Finally, some benefits of using Probabilistic Safety Analysis are discussed with respect to evaluating the risks associated with events that can occur in wind parks, being especially useful for design and maintenance of the parks and the wind turbines themselves. In particular, an event tree was developed to analyze possible accident sequences that could occur when the wind speed is too great. Also, fault trees were developed for each mitigating system considered, in order to determine the relative importance of the wind generator components to the failure sequences, in order to evaluate the yield of suggested improvements and the optimization of maintenance programs.

  14. Sensitivity Analysis of a Spatio-Temporal Avalanche Forecasting Model Based on Support Vector Machines

    Science.gov (United States)

    Matasci, G.; Pozdnoukhov, A.; Kanevski, M.

    2009-04-01

    The recent progress in environmental monitoring technologies allows capturing extensive amount of data that can be used to assist in avalanche forecasting. While it is not straightforward to directly obtain the stability factors with the available technologies, the snow-pack profiles and especially meteorological parameters are becoming more and more available at finer spatial and temporal scales. Being very useful for improving physical modelling, these data are also of particular interest regarding their use involving the contemporary data-driven techniques of machine learning. Such, the use of support vector machine classifier opens ways to discriminate the ``safe'' and ``dangerous'' conditions in the feature space of factors related to avalanche activity based on historical observations. The input space of factors is constructed from the number of direct and indirect snowpack and weather observations pre-processed with heuristic and physical models into a high-dimensional spatially varying vector of input parameters. The particular system presented in this work is implemented for the avalanche-prone site of Ben Nevis, Lochaber region in Scotland. A data-driven model for spatio-temporal avalanche danger forecasting provides an avalanche danger map for this local (5x5 km) region at the resolution of 10m based on weather and avalanche observations made by forecasters on a daily basis at the site. We present the further work aimed at overcoming the ``black-box'' type modelling, a disadvantage the machine learning methods are often criticized for. It explores what the data-driven method of support vector machine has to offer to improve the interpretability of the forecast, uncovers the properties of the developed system with respect to highlighting which are the important features that led to the particular prediction (both in time and space), and presents the analysis of sensitivity of the prediction with respect to the varying input parameters. The purpose of the

  15. Credit Risk Assessment Model Based Using Principal component Analysis And Artificial Neural Network

    Directory of Open Access Journals (Sweden)

    Hamdy Abeer

    2016-01-01

    Full Text Available Credit risk assessment for bank customers has gained increasing attention in recent years. Several models for credit scoring have been proposed in the literature for this purpose. The accuracy of the model is crucial for any financial institution’s profitability. This paper provided a high accuracy credit scoring model that could be utilized with small and large datasets utilizing a principal component analysis (PCA based breakdown to the significance of the attributes commonly used in the credit scoring models. The proposed credit scoring model applied PCA to acquire the main attributes of the credit scoring data then an ANN classifier to determine the credit worthiness of an individual applicant. The performance of the proposed model was compared to other models in terms of accuracy and training time. Results, based on German dataset showed that the proposed model is superior to others and computationally cheaper. Thus it can be a potential candidate for future credit scoring systems.

  16. A Classifier Model based on the Features Quantitative Analysis for Facial Expression Recognition

    Directory of Open Access Journals (Sweden)

    Amir Jamshidnezhad

    2011-01-01

    Full Text Available In recent decades computer technology has considerable developed in use of intelligent systems for classification. The development of HCI systems is highly depended on accurate understanding of emotions. However, facial expressions are difficult to classify by a mathematical models because of natural quality. In this paper, quantitative analysis is used in order to find the most effective features movements between the selected facial feature points. Therefore, the features are extracted not only based on the psychological studies, but also based on the quantitative methods to arise the accuracy of recognitions. Also in this model, fuzzy logic and genetic algorithm are used to classify facial expressions. Genetic algorithm is an exclusive attribute of proposed model which is used for tuning membership functions and increasing the accuracy.

  17. Selection Methodology of Energy Consumption Model Based on Data Envelopment Analysis

    Directory of Open Access Journals (Sweden)

    Nakhodov Vladimir

    2016-12-01

    Full Text Available The energy efficiency monitoring methods in industry are based on statistical modeling of energy consumption. In the present paper, the widely used method of energy efficiency monitoring “Monitoring and Targeting systems” has been considered, highlighting one of the most important issues — selection of the proper mathematical model of energy consumption. The paper gives a list of different models that can be applied in the corresponding systems. The numbers of criteria that estimate certain characteristics of the mathematical model are represented. The traditional criteria of model adequacy and the “additional” criteria, which allow estimating the model characteristics more precisely, are proposed for choosing the mathematical model of energy consumption in “Monitoring and Targeting systems”. In order to provide the comparison of different models by several criteria simultaneously, an approach based on Data Envelopment Analysis is proposed. Such approach allows providing a more accurate and reliable energy efficiency monitoring.

  18. A Novel De-noising Model Based on Independent Component Analysis and Beamlet Transform

    Directory of Open Access Journals (Sweden)

    Guangming Zhang

    2012-06-01

    Full Text Available Vehicle video key frame processing as an important part of intelligent transportation systems plays a significant role. Traditional vehicle video key frame extraction often has lots of noises, it can’t meet the requirements of the recognition and tracking. In this paper, a novel method which is combined independent component analysis with beamlet transform is proposed. Firstly, a random matrix was produce to separate the key frame into a separated image for estimate. Then beamlet transform was applied to optimize the coefficients. At last, the coefficients were selected for image reconstruction by inverse of the beamlet transform. By contrast, this approach could remove more noises and reserve more details, and the efficiency of our approach is better than other traditional de-noising approaches.

  19. Stress relaxation analysis of single chondrocytes using porohyperelastic model based on AFM experiments

    Directory of Open Access Journals (Sweden)

    Trung Dung Nguyen

    2014-01-01

    Full Text Available Based on atomic force microscopytechnique, we found that the chondrocytes exhibits stress relaxation behavior. We explored the mechanism of this stress relaxation behavior and concluded that the intracellular fluid exuding out from the cells during deformation plays the most important role in the stress relaxation. We applied the inverse finite element analysis technique to determine necessary material parameters for porohyperelastic (PHE model to simulate stress relaxation behavior as this model is proven capable of capturing the non-linear behavior and the fluid-solid interaction during the stress relaxation of the single chondrocytes. It is observed that PHE model can precisely capture the stress relaxation behavior of single chondrocytes and would be a suitable model for cell biomechanics.

  20. Analysis of Decision Trees in Context Clustering of Hidden Markov Model Based Thai Speech Synthesis

    Directory of Open Access Journals (Sweden)

    Suphattharachai Chomphan

    2011-01-01

    Full Text Available Problem statement: In Thai speech synthesis using Hidden Markov model (HMM based synthesis system, the tonal speech quality is degraded due to tone distortion. This major problem must be treated appropriately to preserve the tone characteristics of each syllable unit. Since tone brings about the intelligibility of the synthesized speech. It is needed to establish the tone questions and other phonetic questions in tree-based context clustering process accordingly. Approach: This study describes the analysis of questions in tree-based context clustering process of an HMM-based speech synthesis system for Thai language. In the system, spectrum, pitch or F0 and state duration are modeled simultaneously in a unified framework of HMM, their parameter distributions are clustered independently by using a decision-tree based context clustering technique. The contextual factors which affect spectrum, pitch and duration, i.e., part of speech, position and number of phones in a syllable, position and number of syllables in a word, position and number of words in a sentence, phone type and tone type, are taken into account for constructing the questions of the decision tree. All in all, thirteen sets of questions are analyzed in comparison. Results: In the experiment, we analyzed the decision trees by counting the number of questions in each node coming from those thirteen sets and by calculating the dominance score given to each question as the reciprocal of the distance from the root node to the question node. The highest number and dominance score are of the set of phonetic type, while the second, third highest ones are of the set of part of speech and tone type. Conclusion: By counting the number of questions in each node and calculating the dominance score, we can set the priority of each question set. All in all, the analysis results bring about further development of Thai speech synthesis with efficient context clustering process in

  1. Model-based analysis of the role of biological, hydrological and geochemical factors affecting uranium bioremediation.

    Science.gov (United States)

    Zhao, Jiao; Scheibe, Timothy D; Mahadevan, R

    2011-07-01

    Uranium contamination is a serious concern at several sites motivating the development of novel treatment strategies such as the Geobacter-mediated reductive immobilization of uranium. However, this bioremediation strategy has not yet been optimized for the sustained uranium removal. While several reactive-transport models have been developed to represent Geobacter-mediated bioremediation of uranium, these models often lack the detailed quantitative description of the microbial process (e.g., biomass build-up in both groundwater and sediments, electron transport system, etc.) and the interaction between biogeochemical and hydrological process. In this study, a novel multi-scale model was developed by integrating our recent model on electron capacitance of Geobacter (Zhao et al., 2010) with a comprehensive simulator of coupled fluid flow, hydrologic transport, heat transfer, and biogeochemical reactions. This mechanistic reactive-transport model accurately reproduces the experimental data for the bioremediation of uranium with acetate amendment. We subsequently performed global sensitivity analysis with the reactive-transport model in order to identify the main sources of prediction uncertainty caused by synergistic effects of biological, geochemical, and hydrological processes. The proposed approach successfully captured significant contributing factors across time and space, thereby improving the structure and parameterization of the comprehensive reactive-transport model. The global sensitivity analysis also provides a potentially useful tool to evaluate uranium bioremediation strategy. The simulations suggest that under difficult environments (e.g., highly contaminated with U(VI) at a high migration rate of solutes), the efficiency of uranium removal can be improved by adding Geobacter species to the contaminated site (bioaugmentation) in conjunction with the addition of electron donor (biostimulation). The simulations also highlight the interactive effect of

  2. Application of model-based spectral analysis to wind-profiler radar observations

    Directory of Open Access Journals (Sweden)

    E. Boyer

    Full Text Available A classical way to reduce a radar’s data is to compute the spectrum using FFT and then to identify the different peak contributions. But in case an overlapping between the different echoes (atmospheric echo, clutter, hydrometeor echo. . . exists, Fourier-like techniques provide poor frequency resolution and then sophisticated peak-identification may not be able to detect the different echoes. In order to improve the number of reduced data and their quality relative to Fourier spectrum analysis, three different methods are presented in this paper and applied to actual data. Their approach consists of predicting the main frequency-components, which avoids the development of very sophisticated peak-identification algorithms. The first method is based on cepstrum properties generally used to determine the shift between two close identical echoes. We will see in this paper that this method cannot provide a better estimate than Fourier-like techniques in an operational use. The second method consists of an autoregressive estimation of the spectrum. Since the tests were promising, this method was applied to reduce the radar data obtained during two thunder-storms. The autoregressive method, which is very simple to implement, improved the Doppler-frequency data reduction relative to the FFT spectrum analysis. The third method exploits a MUSIC algorithm, one of the numerous subspace-based methods, which is well adapted to estimate spectra composed of pure lines. A statistical study of performances of this method is presented, and points out the very good resolution of this estimator in comparison with Fourier-like techniques. Application to actual data confirms the good qualities of this estimator for reducing radar’s data.

    Key words. Meteorology and atmospheric dynamics (tropical meteorology- Radio science (signal processing- General (techniques applicable in three or more fields

  3. Non-linear analysis indicates chaotic dynamics and reduced resilience in model-based Daphnia populations exposed to environmental stress.

    Directory of Open Access Journals (Sweden)

    Richard Ottermanns

    Full Text Available In this study we present evidence that anthropogenic stressors can reduce the resilience of age-structured populations. Enhancement of disturbance in a model-based Daphnia population lead to a repression of chaotic population dynamics at the same time increasing the degree of synchrony between the population's age classes. Based on the theory of chaos-mediated survival an increased risk of extinction was revealed for this population exposed to high concentrations of a chemical stressor. The Lyapunov coefficient was supposed to be a useful indicator to detect disturbance thresholds leading to alterations in population dynamics. One possible explanation could be a discrete change in attractor orientation due to external disturbance. The statistical analysis of Lyapunov coefficient distribution is proposed as a methodology to test for significant non-linear effects of general disturbance on populations. Although many new questions arose, this study forms a theoretical basis for a dynamical definition of population recovery.

  4. A model-based analysis of chemical and temporal patterns of cuticular hydrocarbons in male Drosophila melanogaster.

    Directory of Open Access Journals (Sweden)

    Clement Kent

    Full Text Available Drosophila Cuticular Hydrocarbons (CH influence courtship behaviour, mating, aggregation, oviposition, and resistance to desiccation. We measured levels of 24 different CH compounds of individual male D. melanogaster hourly under a variety of environmental (LD/DD conditions. Using a model-based analysis of CH variation, we developed an improved normalization method for CH data, and show that CH compounds have reproducible cyclic within-day temporal patterns of expression which differ between LD and DD conditions. Multivariate clustering of expression patterns identified 5 clusters of co-expressed compounds with common chemical characteristics. Turnover rate estimates suggest CH production may be a significant metabolic cost. Male cuticular hydrocarbon expression is a dynamic trait influenced by light and time of day; since abundant hydrocarbons affect male sexual behavior, males may present different pheromonal profiles at different times and under different conditions.

  5. A NEW AIR CONDITIONING SYSTEM FAN MODEL BASED ON NUMERICAL ANALYSIS

    Directory of Open Access Journals (Sweden)

    Nabil Nassif

    2014-01-01

    Full Text Available A large portion of energy use in buildings is attributed to air movement devices. Accurate estimation of fan performance is a key element in maximizing fan efficiency. This study proposes a new fan model that can be used in several applications such as optimization and fault detection and can also be incorporated into any commercial building models. The model uses a numerical analysis based on an interpolation technique for the data generated by basic fan laws. It can use any two variables among all four variables of airflow rate, total fan pressure, speed and power as inputs or outputs. Another advantage of this model is the flexibility of using any size of data for calibration, obtained either from manufacturers or field measured data. The model was tested for accuracy using two different manufacturers’ data of roof top unit packages with capacity ranging from 2 to 20 tons. Furthermore, the model was evaluated and tested on an actual VAV system using three months’ worth of measured data. The results show that the model can provide accurate estimation with the Coefficient of Variance (CV less than 2% and it can be used for several applications.

  6. A computational model-based validation of Guyton's analysis of cardiac output and venous return curves

    Science.gov (United States)

    Mukkamala, R.; Cohen, R. J.; Mark, R. G.

    2002-01-01

    Guyton developed a popular approach for understanding the factors responsible for cardiac output (CO) regulation in which 1) the heart-lung unit and systemic circulation are independently characterized via CO and venous return (VR) curves, and 2) average CO and right atrial pressure (RAP) of the intact circulation are predicted by graphically intersecting the curves. However, this approach is virtually impossible to verify experimentally. We theoretically evaluated the approach with respect to a nonlinear, computational model of the pulsatile heart and circulation. We developed two sets of open circulation models to generate CO and VR curves, differing by the manner in which average RAP was varied. One set applied constant RAPs, while the other set applied pulsatile RAPs. Accurate prediction of intact, average CO and RAP was achieved only by intersecting the CO and VR curves generated with pulsatile RAPs because of the pulsatility and nonlinearity (e.g., systemic venous collapse) of the intact model. The CO and VR curves generated with pulsatile RAPs were also practically independent. This theoretical study therefore supports the validity of Guyton's graphical analysis.

  7. A computational model-based validation of Guyton's analysis of cardiac output and venous return curves

    Science.gov (United States)

    Mukkamala, R.; Cohen, R. J.; Mark, R. G.

    2002-01-01

    Guyton developed a popular approach for understanding the factors responsible for cardiac output (CO) regulation in which 1) the heart-lung unit and systemic circulation are independently characterized via CO and venous return (VR) curves, and 2) average CO and right atrial pressure (RAP) of the intact circulation are predicted by graphically intersecting the curves. However, this approach is virtually impossible to verify experimentally. We theoretically evaluated the approach with respect to a nonlinear, computational model of the pulsatile heart and circulation. We developed two sets of open circulation models to generate CO and VR curves, differing by the manner in which average RAP was varied. One set applied constant RAPs, while the other set applied pulsatile RAPs. Accurate prediction of intact, average CO and RAP was achieved only by intersecting the CO and VR curves generated with pulsatile RAPs because of the pulsatility and nonlinearity (e.g., systemic venous collapse) of the intact model. The CO and VR curves generated with pulsatile RAPs were also practically independent. This theoretical study therefore supports the validity of Guyton's graphical analysis.

  8. Genotypic change of porcine circovirus type 2 on Japanese pig farms as revealed by restriction fragment length polymorphism analysis.

    Science.gov (United States)

    Takahagi, Yoichi; Nishiyama, Yasutaka; Toki, Shinji; Yonekita, Taro; Morimatsu, Fumiki; Murakami, Hiroshi

    2008-06-01

    Porcine circovirus type 2 (PCV2) has been recognized as the causal agent of postweaning multisystemic wasting syndrome and can be divided into two major genotypic groups. We developed a method of restriction fragment length polymorphism (RFLP) analysis of PCV2 open reading frame 2 for easy discrimination between the two major groups. Genotyping of PCV2 isolates from 10 Japanese commercial pig farms was performed, and the analysis revealed that both PCV2 groups and at least five RFLP types of PCV2 are prevalent in Japan. On two farms, the genotypes of the PCV2 isolates in the spring of 2007 were different from those in the autumn of 2006. One genotype may have become dominant within only six months on these farms.

  9. Decomposition method of complex optimization model based on global sensitivity analysis

    Science.gov (United States)

    Qiu, Qingying; Li, Bing; Feng, Peien; Gao, Yu

    2014-07-01

    The current research of the decomposition methods of complex optimization model is mostly based on the principle of disciplines, problems or components. However, numerous coupling variables will appear among the sub-models decomposed, thereby make the efficiency of decomposed optimization low and the effect poor. Though some collaborative optimization methods are proposed to process the coupling variables, there lacks the original strategy planning to reduce the coupling degree among the decomposed sub-models when we start decomposing a complex optimization model. Therefore, this paper proposes a decomposition method based on the global sensitivity information. In this method, the complex optimization model is decomposed based on the principle of minimizing the sensitivity sum between the design functions and design variables among different sub-models. The design functions and design variables, which are sensitive to each other, will be assigned to the same sub-models as much as possible to reduce the impacts to other sub-models caused by the changing of coupling variables in one sub-model. Two different collaborative optimization models of a gear reducer are built up separately in the multidisciplinary design optimization software iSIGHT, the optimized results turned out that the decomposition method proposed in this paper has less analysis times and increases the computational efficiency by 29.6%. This new decomposition method is also successfully applied in the complex optimization problem of hydraulic excavator working devices, which shows the proposed research can reduce the mutual coupling degree between sub-models. This research proposes a decomposition method based on the global sensitivity information, which makes the linkages least among sub-models after decomposition, and provides reference for decomposing complex optimization models and has practical engineering significance.

  10. Global sensitivity analysis for model-based prediction of oxidative micropollutant transformation during drinking water treatment.

    Science.gov (United States)

    Neumann, Marc B; Gujer, Willi; von Gunten, Urs

    2009-03-01

    This study quantifies the uncertainty involved in predicting micropollutant oxidation during drinking water ozonation in a pilot plant reactor. The analysis is conducted for geosmin, methyl tert-butyl ether (MTBE), isopropylmethoxypyrazine (IPMP), bezafibrate, beta-cyclocitral and ciprofloxazin. These compounds are representative for a wide range of substances with second order rate constants between 0.1 and 1.9x10(4)M(-1)s(-1) for the reaction with ozone and between 2x10(9) and 8x10(9)M(-1)s(-1) for the reaction with OH-radicals. Uncertainty ranges are derived for second order rate constants, hydraulic parameters, flow- and ozone concentration data, and water characteristic parameters. The uncertain model factors are propagated via Monte Carlo simulation and the resulting probability distributions of the relative residual micropollutant concentrations are assessed. The importance of factors in determining model output variance is quantified using Extended Fourier Amplitude Sensitivity Testing (Extended-FAST). For substances that react slowly with ozone (MTBE, IPMP, geosmin) the water characteristic R(ct)-value (ratio of ozone- to OH-radical concentration) is the most influential factor explaining 80% of the output variance. In the case of bezafibrate the R(ct)-value and the second order rate constant for the reaction with ozone each contribute about 30% to the output variance. For beta-cyclocitral and ciprofloxazin (fast reacting with ozone) the second order rate constant for the reaction with ozone and the hydraulic model structure become the dominating sources of uncertainty.

  11. Model-Based Integrated High Penetration Renewables Planning and Control Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Bank, Jason [Electrical Distribution Design, Blacksburg, VA (United States); Broadwater, Robert [Electrical Distribution Design, Blacksburg, VA (United States); Cheng, Danling [Electrical Distribution Design, Blacksburg, VA (United States); Costyk, David [Electrical Distribution Design, Blacksburg, VA (United States); Leyo, Mark [Electrical Distribution Design, Blacksburg, VA (United States); Seguin, Richard [Electrical Distribution Design, Blacksburg, VA (United States); Woyak, Jeremy [Electrical Distribution Design, Blacksburg, VA (United States); Acharya-Menon, Amrita [Pepco Holdings, Inc. (PHI), Washington, DC (United States); Steffel, Steve [Pepco Holdings, Inc. (PHI), Washington, DC (United States); Dise, John [Clean Power Research, Napa, CA (United States); Athawale, Rasika [Rutgers Univ., New Brunswick, NJ (United States); Felder, Frank [Rutgers Univ., New Brunswick, NJ (United States)

    2015-12-14

    Increasing adoption of Solar Photovoltaic (PV) generation at the distribution level poses several changes for the reliable operation of electrical power distribution systems. The addition of a significant amount of PV to a distribution network can introduce a variety of operational problems, including steady-state overvoltages, reverse flows, voltage flicker and excessive controller movement among others. These adverse impacts can be mitigated through a variety of equipment upgrades which represent a cost to either the electric utility or the owner of the PV site. The study performed here aims to quantify the levels of PV generation which present operational problems on a distribution circuit and how those problems might be alleviated. The study performed here included 20 distribution feeders selected from Pepco Holdings, Inc. (PHI) service territory. These feeders are located in the states of Delaware, Maryland and New Jersey. A hosting capacity study was performed on each feeder to determine how much additional PV it could support in its current configuration. Several improvements were then performed on these circuits including phase balancing, capacitor redesign, reducing the voltage regulator set points, fixed power factor operation on the PV inverters and the installation of battery storage. After each of these improvements the hosting capacity of the circuit was reevaluated in order to determine how that particular improvement impacted the amount of PV that could be hosted by the circuit. Each of these improvements represents a real cost in terms of labor and equipment in order to be implemented. They are expected to provide a benefit in terms of the amount of additional PV generation which can be safely interconnected to the distribution feeder. A cost benefit analysis was performed in order to evaluate the expected costs of each feeder improvement and how each one was able to increase the PV hosting capacity of each feeder. It is hoped that these results

  12. A Model-Based Analysis of Nitrogen Deposition: Effects on Forest Carbon Sequestration

    Science.gov (United States)

    Dezi, S.; Medlyn, B. E.; Tonon, G.; Magnani, F.

    2009-04-01

    Over the last 150 years nitrogen deposition has increased, especially in the northern hemisphere, mainly due to the use of fossil fuels, deforestation and agricultural practices. Although the impact of this increase on the terrestrial carbon cycle is still uncertain, it is likely that this large perturbation of the global nitrogen cycle will have important effects on carbon cycling, particularly via impacts on forest carbon storage. In the present work we investigated qualitatively the overall response of forest carbon sequestration to nitrogen deposition, and the relative importance of different mechanisms that bring about this response. For this purpose we used the G'DAY forest carbon-nitrogen cycling model (Comins and McMurtrie 1993), introducing some new assumptions which focus on the effect of nitrogen deposition. Specifically the new assumptions are: (i) foliar litterfall and specific leaf area (SLA) are functions of leaf nitrogen concentration; (ii) belowground C allocation is a function of net primary production (NPP); (iii) forest canopies can directly take up nitrogen; (iv) management of forests occurs; (v) leaching occurs only for nitrate nitrogen. We investigated the effect of each assumption on net ecosystem production (NEP), with a step increase in nitrogen deposition from a steady state of 0.4 gN m-2 yr-1 to 2 gN m-2 yr-1, and then running the old and new model versions for different nitrogen deposition levels. Our analysis showed that nitrogen deposition can have a large effect on forest carbon storage at ecosystem level. In particular the effect of the assumptions (ii), (iii) and (iv) seem to be of greater importance, giving rise to a markedly higher level of forest carbon sequestration than in their absence. On the contrary assumptions (i) and (v) seem not to have any particular effect on the NEP simulated. Finally, running the models for different levels of nitrogen deposition showed that estimating forest carbon exchange without taking into

  13. Development of Hierarchical Bayesian Model Based on Regional Frequency Analysis and Its Application to Estimate Areal Rainfall in South Korea

    Science.gov (United States)

    Kim, J.; Kwon, H. H.

    2014-12-01

    The existing regional frequency analysis has disadvantages in that it is difficult to consider geographical characteristics in estimating areal rainfall. In this regard, This study aims to develop a hierarchical Bayesian model based regional frequency analysis in that spatial patterns of the design rainfall with geographical information are explicitly incorporated. This study assumes that the parameters of Gumbel distribution are a function of geographical characteristics (e.g. altitude, latitude and longitude) within a general linear regression framework. Posterior distributions of the regression parameters are estimated by Bayesian Markov Chain Monte Calro (MCMC) method, and the identified functional relationship is used to spatially interpolate the parameters of the Gumbel distribution by using digital elevation models (DEM) as inputs. The proposed model is applied to derive design rainfalls over the entire Han-river watershed. It was found that the proposed Bayesian regional frequency analysis model showed similar results compared to L-moment based regional frequency analysis. In addition, the model showed an advantage in terms of quantifying uncertainty of the design rainfall and estimating the area rainfall considering geographical information. Acknowledgement: This research was supported by a grant (14AWMP-B079364-01) from Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

  14. Longitudinal control behaviour: Analysis and modelling based on experimental surveys in Italy and the UK.

    Science.gov (United States)

    Pariota, Luigi; Bifulco, Gennaro Nicola; Galante, Francesco; Montella, Alfonso; Brackstone, Mark

    2016-04-01

    because of the huge number of rear-end crashes. The increased availability of lower-cost information and communication technologies (ICTs) has enhanced the possibility of collecting copious and reliable car-following individual vehicle data. In this work, data collected from three different experiments, two carried out in Italy and one in the UK, are analysed and compared. The experiments involved 146 drivers (105 Italian drivers and 41 UK drivers). Data were collected by two instrumented vehicles. Our analysis focused on inter-vehicular spacing in equilibrium car-following conditions. We observed that (i) the adopted equilibrium spacing can be fitted using lognormal distributions, (ii) the adopted equilibrium spacing increases with speed, and (iii) the dispersion between drivers increases with speed. In addition, according to different headway thresholds (up to 1 second) a significant number of potentially dangerous behaviours is observed. Three different car-following paradigms are also applied to each of the experiments, and modelling parameters are calibrated and compared to obtain indirect confirmation about the observed similarities and differences in driving behaviour.

  15. Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems.

    Directory of Open Access Journals (Sweden)

    Elizaveta Pershina

    Full Text Available One of the most important challenges in agriculture is to determine the effectiveness and environmental impact of certain farming practices. The aim of present study was to determine and compare the taxonomic composition of the microbiomes established in soil following long-term exposure (14 years to a conventional and organic farming systems (CFS and OFS accordingly. Soil from unclared forest next to the fields was used as a control. The analysis was based on RT-PCR and pyrosequencing of 16S rRNA genes of bacteria and archaea. The number of bacteria was significantly lower in CFS than in OFS and woodland. The highest amount of archaea was detected in woodland, whereas the amounts in CFS and OFS were lower and similar. The most common phyla in the soil microbial communities analyzed were Proteobacteria (57.9%, Acidobacteria (16.1%, Actinobacteria (7.9%, Verrucomicrobia (2.0%, Bacteroidetes (2.7% and Firmicutes (4.8%. Woodland soil differed from croplands in the taxonomic composition of microbial phyla. Croplands were enriched with Proteobacteria (mainly the genus Pseudomonas, while Acidobacteria were detected almost exclusively in woodland soil. The most pronounced differences between the CFS and OFS microbiomes were found within the genus Pseudomonas, which significantly (p<0,05 increased its number in CFS soil compared to OFS. Other differences in microbiomes of cropping systems concerned minor taxa. A higher relative abundance of bacteria belonging to the families Oxalobacteriaceae, Koribacteriaceae, Nakamurellaceae and genera Ralstonia, Paenibacillus and Pedobacter was found in CFS as compared with OFS. On the other hand, microbiomes of OFS were enriched with proteobacteria of the family Comamonadaceae (genera Hylemonella and Hyphomicrobiaceae, actinobacteria from the family Micrococcaceae, and bacteria of the genera Geobacter, Methylotenera, Rhizobium (mainly Rhizobium leguminosarum and Clostridium. Thus, the fields under OFS and CFS did

  16. General Analysis of Vacuum Circuit Breaker Switching Overvoltages in Offshore Wind Farms

    DEFF Research Database (Denmark)

    Ghafourian, S. M.; Arana, I.; Holbøll, Joachim

    2016-01-01

    Understanding mechanisms of switching transient overvoltages in modern electrical power systems is a necessity to ensure a proper design of power plants and switchgear and the required level of reliable and secure system operation. High fidelity plant modelling and accurate transient analysis...... vacuum circuit breakers (VCBs), cables and transformers. An in-depth understanding of the prestrike effects in VCBs is a prerequisite for studying switching transient overvoltages. In this paper, the impact of VCB parameters (e.g., stray capacitance and withstand voltage ability) and cable length...... on the transformer terminal voltage during closing operation was studied. A wind farm power collection system was modelled in ATP-EMTP environment. To validate the results obtained through computer simulation, field measurements from an actual system were used....

  17. Is Sustainability Compatible with Profitability? An Empirical Analysis on Family Farming Activity

    Directory of Open Access Journals (Sweden)

    Laura Piedra-Muñoz

    2016-09-01

    Full Text Available Sustainability is a social concern and a new strategic factor for productive and economic viability. Nevertheless, research on this subject in a holistic approach is limited, and even to a lesser extent when dealing with family farms. This paper analyzes the impact of different aspects of sustainability (socio-economic characteristics, environmentally respectful practices, and innovation on profitability. The data collection instruments include a survey questionnaire on farming in Almería, a province in Southeast Spain, and the methodology followed involves a two-step regression model. The main results show how several socio-economic and environmental-innovation features of family farms have positive effects on their economic performance. Among others, profitability increases when there are better educated and younger family farm decision-makers; the farm is specialized and supported by more efficient cooperatives: and, particularly, when the family farm displays greater concern for environmental practices and better disposition towards agroecological innovation.

  18. ECONOMIC EFFICIENCY ANALYSIS OF ORGANIC CROP AND ANIMAL FARMS IN ROMANIA. COMPARATIVE EVOLUTIONS

    Directory of Open Access Journals (Sweden)

    Alexandra MUSCĂNESCU

    2013-10-01

    Full Text Available The organic sector in our country, although as shown in continuous development, faces a multitude of problems: the climatic conditions of our country, characterized by periods of drought in many parts of the country, high input prices, the majority of which are imported; difficulties in identifying markets for products, reduced subsidies, standardized conditions difficult to meet, etc. The problems the sector is facing reflect in the organization of the production activity and hence the economic performance of farm production. Accordingly, the aim of this paper was to analyze on the basis of annual financial and accounting information collected in the two vegetable farms and the two animal breeding farms, their efficiency / inefficiency, and the results were compared to identify the causes of the differences obtained in the efficiency at a farm level. The results obtained reveal a higher level of return on integrated vegetable farm in a joint recovery and a high efficiency for chain integrated animal farms.

  19. Analysis of historical gross gamma logging data from BY tank farm

    Energy Technology Data Exchange (ETDEWEB)

    MYERS, D.A.

    1999-10-13

    Gross gamma ray logs, recorded from January 1975 through mid-year 1994 as part of the Single-Shell Tank Farm Dry Well Surveillance Program, have been reanalyzed for the BY tank farm to locate the presence of mobile radionuclides in the subsurface. This report presents the BY tank farm gross gamma ray data in such a way as to assist others in their study of vadose zone mechanisms.

  20. THE ANALYSIS OF ORGANIC RICE CONTRACT FARMING IN CAMBODIA: A LESSON LEARNED FOR INDONESIA

    Directory of Open Access Journals (Sweden)

    Betti Rosita Sari

    2015-12-01

    Full Text Available  This study examines organic rice contract farming inCambodiaand its impact on farmers’ livelihood. The study’s objective is to gain a better insight of the terms and conditions of rice contract farming scheme inCambodia, and determine under what conditions contract farming could bring improvements to farmers’ livelihoods. This study contributes new research findings on contract farming practices and farmers’ livelihood due to organic-rice contract farming with a case study in Kampong Speu province,Cambodia.Rice contract farming is not widespread inCambodiaat present, but is expected to expand significantly in the near future. Contract farming can increase investment into agricultural and infrastructure in rural areas. Contract farming can also enable farmers to access credit, inputs, technical advice and information about market condition and pricing trends. Yet, the disadvantages of contract farming include loss of farmer bargaining power and a potential reduction in profit margins, increased emphasis on improving production quality, land consolidation in favor of participating contract farmers, and less secure livelihoods.In this study, the contract farming arrangements of Angkor Kasekam Rongroeung (AKR Company is studied. A survey of 16 contract farmers and 20 non-contract farmers in Kampong Speu province has been undertaken to examine the AKR contract farming scheme arrangements and to identify farmer’s motivations to participate in contract farming and its impact on farmers’ livelihood.AKR rice contract farming improves farmers’ livelihood because they get a higher income and rice yields. Higher price, good rice seed, and access to market are the main reasons for farmers to participate in AKR contract farming. However, strict requirements, heavy penalties, poor extension services, and lack of information about the contract terms and conditions reduce farmers’ long-term participation in contract farming. In addition

  1. Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in the Netherlands

    Science.gov (United States)

    Reidsma, Pytrik; Wolf, Joost; Kanellopoulos, Argyris; Schaap, Ben F.; Mandryk, Maryia; Verhagen, Jan; van Ittersum, Martin K.

    2015-04-01

    Rather than on crop modelling only, climate change impact assessments in agriculture need to be based on integrated assessment and farming systems analysis, and account for adaptation at different levels. With a case study for Flevoland, the Netherlands, we illustrate that (1) crop models cannot account for all relevant climate change impacts and adaptation options, and (2) changes in technology, policy and prices have had and are likely to have larger impacts on farms than climate change. While crop modelling indicates positive impacts of climate change on yields of major crops in 2050, a semi-quantitative and participatory method assessing impacts of extreme events shows that there are nevertheless several climate risks. A range of adaptation measures are, however, available to reduce possible negative effects at crop level. In addition, at farm level farmers can change cropping patterns, and adjust inputs and outputs. Also farm structural change will influence impacts and adaptation. While the 5th IPCC report is more negative regarding impacts of climate change on agriculture compared to the previous report, also for temperate regions, our results show that when putting climate change in context of other drivers, and when explicitly accounting for adaptation at crop and farm level, impacts may be less negative in some regions and opportunities are revealed. These results refer to a temperate region, but an integrated assessment may also change perspectives on climate change for other parts of the world.

  2. Dynamic Ecocentric Assessment Combining Emergy and Data Envelopment Analysis: Application to Wind Farms

    Directory of Open Access Journals (Sweden)

    Mario Martín-Gamboa

    2016-01-01

    Full Text Available Most of current life-cycle approaches show an anthropocentric standpoint for the evaluation of human-dominated activities. However, this perspective is insufficient when it comes to assessing the contribution of natural resources to production processes. In this respect, emergy analysis evaluates human-driven systems from a donor-side perspective, accounting for the environmental effort performed to make the resources available. This article presents a novel methodological framework, which combines emergy analysis and dynamic Data Envelopment Analysis (DEA for the ecocentric assessment of multiple resembling entities over an extended period of time. The use of this approach is shown through a case study of wind energy farms. Furthermore, the results obtained are compared with those of previous studies from two different angles. On the one hand, a comparison with results from anthropocentric approaches (combined life cycle assessment and DEA is drawn. On the other hand, results from similar ecocentric approaches, but without a dynamic model, are also subject to comparison. The combined use of emergy analysis and dynamic DEA is found to be a valid methodological framework for the computation of resource efficiency and the valuation of ecosystem services. It complements traditional anthropocentric assessments while appropriately including relevant time effects.

  3. Genetic analysis of reproductive performance of Frieswal cattle at Military Farm, Ambala

    Science.gov (United States)

    Kumar, Jagdeep; Singh, Y. P.; Kumar, Sushil; Singh, Rajbir; Kumar, Ravinder; Kumar, Pradeep

    2015-01-01

    Aim: This study was carried out to investigate the genetic analysis of reproductive performance of Frieswal cattle at Military Farm, Ambala. Materials and Methods: A total number of 3005 lactation records of 1147 Frieswal cows over a period of 15 years extending from 1993 to 2007 were used to study at Military Dairy Farm, Ambala. The study period was divided into 5 period of 3 years each. The average performances of reproduction traits, effect of genetic and non-genetic factors were analyzed, and estimation of genetic and phenotypic parameters of reproduction traits was undertaken. Results: The age at first calving (AFC) differed significantly across the periods of calving. The AFC was lowest during the third period (1999-2001) and longest in the first period (1993-95). The effect of season and period of calving, lactation order and regression of AFC on dry period, calving interval and service period was highly significant. The effect of sire was non-significant. The heritability estimates were low for almost all the traits under study. The service period had a high genetic correlation with dry period and calving interval. The dry period also found to have a low genetic correlation with calving interval in Frieswal cows. Service period had a high phenotypic correlation with dry period and very high with a calving interval. The phenotypic correlation between the dry period and calving interval was recognized high. Conclusions: Low heritability estimate for the reproduction traits indicates that there is a very little additive genetic variance in these traits, and individual selection will not be helpful for improving them. Improvement may be brought through better feeding and management of cows by reducing the environmental variability. PMID:27047194

  4. TO THE ANALYSIS OF DEVELOPMENT OF PEASANT AND PERSONAL FARMS OF THE POPULATION

    Directory of Open Access Journals (Sweden)

    Lisovskaya R. N.

    2016-04-01

    Full Text Available Small agrarian and personal peasant farms present an important segment of agricultural production along with other subjects. Their role is becoming more prominent with the increasing of their own production potential. Nevertheless, their resource base remains very weak, the basic means of production are worn out, and many of them are unable to improve technical equipment. In this segment, leasing options are limited, there are problems in logistics management, and small entities do not have market power in the market of production resources and in products marketing. The lack of collateral generates high cost lending and permanent bankruptcy. On the other hand, it is noted that small entities have a large diversity of organizational and legal forms, an informal control system high interchangeability of production functions, they combine the status of the owner and the manager. They significantly reduce the social tension in rural areas; they play a significant role in import substitution. Characteristic features of small agricultural farms (SAF are high autonomy, independence, self-protection from environmental factors. They spend little money on creating jobs, have low fixed costs and independently overcome the difficulties. However, an underdeveloped industrial infrastructure of small business hinders the improvement of the technological level. They work with constant external interference, which reduces their production efficiency and market competitiveness. All of them highly depend on local production conditions, capacity of territorial markets. Low level of cooperation of participants SAF significantly limits the number of sales channels, increases the volatility realization. The analysis showed a high need for realization of the revealed reserves of efficiency growth

  5. Minding the Cyber-Physical Gap: Model-Based Analysis and Mitigation of Systemic Perception-Induced Failure.

    Science.gov (United States)

    Mordecai, Yaniv; Dori, Dov

    2017-07-17

    The cyber-physical gap (CPG) is the difference between the 'real' state of the world and the way the system perceives it. This discrepancy often stems from the limitations of sensing and data collection technologies and capabilities, and is inevitable at some degree in any cyber-physical system (CPS). Ignoring or misrepresenting such limitations during system modeling, specification, design, and analysis can potentially result in systemic misconceptions, disrupted functionality and performance, system failure, severe damage, and potential detrimental impacts on the system and its environment. We propose CPG-Aware Modeling & Engineering (CPGAME), a conceptual model-based approach to capturing, explaining, and mitigating the CPG. CPGAME enhances the systems engineer's ability to cope with CPGs, mitigate them by design, and prevent erroneous decisions and actions. We demonstrate CPGAME by applying it for modeling and analysis of the 1979 Three Miles Island 2 nuclear accident, and show how its meltdown could be mitigated. We use ISO-19450:2015-Object Process Methodology as our conceptual modeling framework.

  6. Treatment Analysis in a Cancer Stem Cell Context Using a Tumor Growth Model Based on Cellular Automata.

    Directory of Open Access Journals (Sweden)

    Ángel Monteagudo

    Full Text Available Cancer can be viewed as an emergent behavior in terms of complex system theory and artificial life, Cellular Automata (CA being the tool most used for studying and characterizing the emergent behavior. Different approaches with CA models were used to model cancer growth. The use of the abstract model of acquired cancer hallmarks permits the direct modeling at cellular level, where a cellular automaton defines the mitotic and apoptotic behavior of cells, and allows for an analysis of different dynamics of the cellular system depending on the presence of the different hallmarks. A CA model based on the presence of hallmarks in the cells, which includes a simulation of the behavior of Cancer Stem Cells (CSC and their implications for the resultant growth behavior of the multicellular system, was employed. This modeling of cancer growth, in the avascular phase, was employed to analyze the effect of cancer treatments in a cancer stem cell context. The model clearly explains why, after treatment against non-stem cancer cells, the regrowth capability of CSCs generates a faster regrowth of tumor behavior, and also shows that a continuous low-intensity treatment does not favor CSC proliferation and differentiation, thereby allowing an unproblematic control of future tumor regrowth. The analysis performed indicates that, contrary to the current attempts at CSC control, trying to make CSC proliferation more difficult is an important point to consider, especially in the immediate period after a standard treatment for controlling non-stem cancer cell proliferation.

  7. Model-based diagnosis through Structural Analysis and Causal Computation for automotive Polymer Electrolyte Membrane Fuel Cell systems

    Science.gov (United States)

    Polverino, Pierpaolo; Frisk, Erik; Jung, Daniel; Krysander, Mattias; Pianese, Cesare

    2017-07-01

    The present paper proposes an advanced approach for Polymer Electrolyte Membrane Fuel Cell (PEMFC) systems fault detection and isolation through a model-based diagnostic algorithm. The considered algorithm is developed upon a lumped parameter model simulating a whole PEMFC system oriented towards automotive applications. This model is inspired by other models available in the literature, with further attention to stack thermal dynamics and water management. The developed model is analysed by means of Structural Analysis, to identify the correlations among involved physical variables, defined equations and a set of faults which may occur in the system (related to both auxiliary components malfunctions and stack degradation phenomena). Residual generators are designed by means of Causal Computation analysis and the maximum theoretical fault isolability, achievable with a minimal number of installed sensors, is investigated. The achieved results proved the capability of the algorithm to theoretically detect and isolate almost all faults with the only use of stack voltage and temperature sensors, with significant advantages from an industrial point of view. The effective fault isolability is proved through fault simulations at a specific fault magnitude with an advanced residual evaluation technique, to consider quantitative residual deviations from normal conditions and achieve univocal fault isolation.

  8. A model-based meta-analysis of sofosbuvir-based treatments in chronic hepatitis C patients.

    Science.gov (United States)

    Pérez-Pitarch, Alejandro; Guglieri-López, Beatriz; Ferriols-Lisart, Rafael; Merino-Sanjuán, Matilde

    2016-03-01

    The objective of this study was to compare the efficacy of sofosbuvir-based treatments in patients with chronic hepatitis C virus (HCV) infection using a model-based meta-analysis (MBMA). A bibliographic search was performed to identify clinical trials involving sofosbuvir as a unique direct-acting antiviral (DAA) agent or together with daclatasvir, ledipasvir or simeprevir for the treatment of diagnosed HCV infection. The time course of the virological response (VR) was modelled to estimate the effect of treatment and the influence of population characteristics on the longitudinal efficacy profile. The model was validated and simulations of 10 different treatment schedules were performed. Data from 19 clinical trials were included in the analysis. According to the developed model, therapy with sofosbuvir+ledipasvir is the most effective therapy in all scenarios, but it does not differ greatly in terms of sustained VR with respect to other combinations of DAA treatments. In conclusion, this MBMA generates knowledge regarding hypothetical head-to-head trials that have not been conducted previously. Therapies with sofosbuvir+ledipasvir are probably the most effective sofosbuvir-based treatments.

  9. Animal Farm

    Institute of Scientific and Technical Information of China (English)

    徐蓉蓉

    2015-01-01

    This essay first introduce the background of Animal Farm and a brief introduction of the author.Then it discuss three thesis about this novel and briefly discussed about it.At last it give highly review on Animal Farm.

  10. Modelling, Analysis and Control of DC-connected Wind Farms to Grid

    DEFF Research Database (Denmark)

    Iov, Florin; Sørensen, Poul; Hansen, Anca Daniela;

    2006-01-01

    are fulfilled.  However, the traditional squirrel-cage generators based wind turbines/wind farms directly connected to the grid have less control capabilities. These wind turbines/farms cannot regulate their production and contribute to power system stability. A DC transmission system for connection...

  11. Analysis and Summary of Historical Dry Well Gamma Logs for S Tank Farm 200 West

    Energy Technology Data Exchange (ETDEWEB)

    MYERS, D.A.

    1999-11-22

    Gross gamma ray logs, recorded from January 1975 through mid-year 1994 as part of the Single-Shell Tank Farm Dry Well Surveillance Program, have been reanalyzed for the S tank farm to locate the presence of mobile radionuclides in the subsurface.

  12. Closing the cassava yield gap: an analysis from small-holder farms in East Africa

    NARCIS (Netherlands)

    Fermont, van A.M.; Asten, van P.J.A.; Tittonell, P.A.; Wijk, van M.T.; Giller, K.E.

    2009-01-01

    Cassava yields in Africa are small and it remains unclear which factors most limit yields. Using a series of farm surveys and on-farm and on-station trials in Uganda and western Kenya, we evaluated the importance of abiotic, biotic and associated crop management constraints for cassava production in

  13. Econometric analysis of the effects of subsidies on farm production in case of endogenous input quantities

    DEFF Research Database (Denmark)

    Henningsen, Arne; Kumbhakar, Subal C.; Lien, Gudbrand

    The effect of subsidies on farm production has been a major topic in agricultural economics for several decades. We present a new approach for analyzing the effects of different types of coupled and decoupled subsidies on farm production with econometric methods. In contrast to most previous...

  14. A Scenario Analysis on the Implementation of a Farm Animal Welfare Assessment System

    NARCIS (Netherlands)

    Ingenbleek, P.T.M.; Blokhuis, H.J.; Butterworth, A.; Keeling, L.J.

    2011-01-01

    There have been important developments in the measurement of farm animal welfare in recent years. Measuring animal welfare is one thing, implementing a farm animal welfare assessment system another. The implementation of such a system occurs in an environment that is influenced by economic, politica

  15. A model-based meta-analysis of monoclonal antibody pharmacokinetics to guide optimal first-in-human study design.

    Science.gov (United States)

    Davda, Jasmine P; Dodds, Michael G; Gibbs, Megan A; Wisdom, Wendy; Gibbs, John

    2014-01-01

    The objectives of this retrospective analysis were (1) to characterize the population pharmacokinetics (popPK) of four different monoclonal antibodies (mAbs) in a combined analysis of individual data collected during first-in-human (FIH) studies and (2) to provide a scientific rationale for prospective design of FIH studies with mAbs. The data set was composed of 171 subjects contributing a total of 2716 mAb serum concentrations, following intravenous (IV) and subcutaneous (SC) doses. mAb PK was described by an open 2-compartment model with first-order elimination from the central compartment and a depot compartment with first-order absorption. Parameter values obtained from the popPK model were further used to generate optimal sampling times for a single dose study. A robust fit to the combined data from four mAbs was obtained using the 2-compartment model. Population parameter estimates for systemic clearance and central volume of distribution were 0.20 L/day and 3.6 L with intersubject variability of 31% and 34%, respectively. The random residual error was 14%. Differences (> 2-fold) in PK parameters were not apparent across mAbs. Rich designs (22 samples/subject), minimal designs for popPK (5 samples/subject), and optimal designs for non-compartmental analysis (NCA) and popPK (10 samples/subject) were examined by stochastic simulation and estimation. Single-dose PK studies for linear mAbs executed using the optimal designs are expected to yield high-quality model estimates, and accurate capture of NCA estimations. This model-based meta-analysis has determined typical popPK values for four mAbs with linear elimination and enabled prospective optimization of FIH study designs, potentially improving the efficiency of FIH studies for this class of therapeutics.

  16. Towards a control model for the highly cybernetic farming ecosystems.

    Science.gov (United States)

    Liao, C M; Lin, W Z

    2000-11-01

    A dynamic model based on the linear systems theory is developed in designing a highly cybernetic farming strategy to efficiently manage residuals generated in farm ecosystems. A linear cybemetic model would be used to describe the dynamic behavior of resource flow in the farm ecosystem in which the state variables are resource quantities, and the control variables are residual quantities. The controlled process is defined as the controlled management strategy change. Cybemetic mechanism shows the application of residuals as control measures have determinate effects on the controlled process as along as the farming system is observable and controllable in the control sense. To illustrate the model algorithm the idea is applied to simulate the dynamic response of residual phosphorus concentrations in an integrated pig/corn farming system located in the south Taiwan region. General results show that the residual phosphorous concentration is influenced by farming activities which are controlled by a system of gross input and net output parameters. This paper demonstrates using input-output analysis technique that residuals generated in the farming system is the most important cybemetic variable,

  17. Agricultural policy and its impact on fuel usage: Empirical evidence from farm household analysis

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Hung-Hao [Department of Agricultural Economics, National Taiwan University, No. 1, Roosevelt Rd., Sec. 4, Taipei 10617 (China); Mishra, Ashok K. [Department of Agricultural Economics and Agribusiness, Louisiana State University, Ag Center (United States); Livingston, Michael [Production Economics and Technology Branch, Economic Research Service, US Department of Agriculture, 1800 M Street NW, Washington, DC 20036-5831 (United States)

    2011-01-15

    Off-farm work is a growing reality in the US agricultural sector as a whole. Another staple program in the US agriculture is the use of crop insurance. This paper assesses hitherto unaddressed issues of fuel consumption and hence pollution generated by farm households associated with off-farm work and crop insurance. We applied a quantile regression method on a unique national farm-level survey data to address the fuel consumption issues. Results indicate that off-farm work by operators tends to decrease fuel expenses. In contrast, households with crop insurance had higher fuel consumption thereby increasing fuel usage. Finally, our study shows that the net effect of these two activities resulted in an increase in the pollution level. (author)

  18. ANALYSIS ON POVERTY IN MOUNTAIN AREAS BASED ON OFF-FARM INDUSTRIES

    Institute of Scientific and Technical Information of China (English)

    WANG Qing; LI Hui-xia; CHEN Guo-jie; CHEN Yong

    2003-01-01

    This paper reveals that agricultural growth trend in China is strongly correlated with the growth of off-farm industries-the curve of net income from off-farm industries reflects the general characteristics of net income of households. That means the increase of net income of farm households is chiefly from off-farm industries,more than from agriculture. The authors therefore conclude that the "poverty" in mountain areas or the gap between mountain areas and plain areas lies in the underdevelopment of off-farm industries in mountain areas. Finally, the authors make suggestions of strategic adjustment of economic structure: 1) present situation of mountain areas in China should be fully considered; 2) a full industrial system is not our desire; 3) advantageous industries should be promoted to create famous products; 4) industrialization and urbanization in mountain areas should be promoted and so on.

  19. Risk analysis for U.S. offshore wind farms: the need for an integrated approach.

    Science.gov (United States)

    Staid, Andrea; Guikema, Seth D

    2015-04-01

    Wind power is becoming an increasingly important part of the global energy portfolio, and there is growing interest in developing offshore wind farms in the United States to better utilize this resource. Wind farms have certain environmental benefits, notably near-zero emissions of greenhouse gases, particulates, and other contaminants of concern. However, there are significant challenges ahead in achieving large-scale integration of wind power in the United States, particularly offshore wind. Environmental impacts from wind farms are a concern, and these are subject to a number of on-going studies focused on risks to the environment. However, once a wind farm is built, the farm itself will face a number of risks from a variety of hazards, and managing these risks is critical to the ultimate achievement of long-term reductions in pollutant emissions from clean energy sources such as wind. No integrated framework currently exists for assessing risks to offshore wind farms in the United States, which poses a challenge for wind farm risk management. In this "Perspective", we provide an overview of the risks faced by an offshore wind farm, argue that an integrated framework is needed, and give a preliminary starting point for such a framework to illustrate what it might look like. This is not a final framework; substantial work remains. Our intention here is to highlight the research need in this area in the hope of spurring additional research about the risks to wind farms to complement the substantial amount of on-going research on the risks from wind farms.

  20. Gaussian-mixture-model-based cluster analysis finds five kinds of gamma-ray bursts in the BATSE catalogue

    Science.gov (United States)

    Chattopadhyay, Souradeep; Maitra, Ranjan

    2017-08-01

    Clustering methods are an important tool to enumerate and describe the different coherent kind of gamma-ray bursts (GRBs). But their performance can be affected by a number of factors such as the choice of clustering algorithm and inherent associated assumptions, the inclusion of variables in clustering, nature of initialization methods used or the iterative algorithm or the criterion used to judge the optimal number of groups supported by the data. We analysed GRBs from the Burst and Transient Source Experiment (BATSE) 4Br Catalog using k-means and Gaussian-mixture-models-based clustering methods and found that after accounting for all the above factors, all six variables - different subsets of which have been used in the literature - that are, namely, the flux duration variables (T50, T90), the peak flux (P256) measured in 256 ms bins, the total fluence (Ft) and the spectral hardness ratios (H32 and H321) contain information on clustering. Further, our analysis found evidence of five different kinds of GRBs and that these groups have different kinds of dispersions in terms of shape, size and orientation. In terms of duration, fluence and spectrum, the five types of GRBs were characterized as intermediate/faint/intermediate, long/intermediate/soft, intermediate/intermediate/intermediate, short/faint/hard and long/bright/intermediate.

  1. Dissecting mechanisms of mouse embryonic stem cells heterogeneity through a model-based analysis of transcription factor dynamics.

    Science.gov (United States)

    Herberg, Maria; Glauche, Ingmar; Zerjatke, Thomas; Winzi, Maria; Buchholz, Frank; Roeder, Ingo

    2016-04-01

    Pluripotent mouse embryonic stem cells (mESCs) show heterogeneous expression levels of transcription factors (TFs) involved in pluripotency regulation, among them Nanog and Rex1. The expression of both TFs can change dynamically between states of high and low activity, correlating with the cells' capacity for self-renewal. Stochastic fluctuations as well as sustained oscillations in gene expression are possible mechanisms to explain this behaviour, but the lack of suitable data hampered their clear distinction. Here, we present a systems biology approach in which novel experimental data on TF heterogeneity is complemented by an agent-based model of mESC self-renewal. Because the model accounts for intracellular interactions, cell divisions and heredity structures, it allows for evaluating the consistency of the proposed mechanisms with data on population growth and on TF dynamics after cell sorting. Our model-based analysis revealed that a bistable, noise-driven network model fulfils the minimal requirements to consistently explain Nanog and Rex1 expression dynamics in heterogeneous and sorted mESC populations. Moreover, we studied the impact of TF-related proliferation capacities on the frequency of state transitions and demonstrate that cellular genealogies can provide insights into the heredity structures of mESCs.

  2. Analysis of protein complexes through model-based biclustering of label-free quantitative AP-MS data.

    Science.gov (United States)

    Choi, Hyungwon; Kim, Sinae; Gingras, Anne-Claude; Nesvizhskii, Alexey I

    2010-06-22

    Affinity purification followed by mass spectrometry (AP-MS) has become a common approach for identifying protein-protein interactions (PPIs) and complexes. However, data analysis and visualization often rely on generic approaches that do not take advantage of the quantitative nature of AP-MS. We present a novel computational method, nested clustering, for biclustering of label-free quantitative AP-MS data. Our approach forms bait clusters based on the similarity of quantitative interaction profiles and identifies submatrices of prey proteins showing consistent quantitative association within bait clusters. In doing so, nested clustering effectively addresses the problem of overrepresentation of interactions involving baits proteins as compared with proteins only identified as preys. The method does not require specification of the number of bait clusters, which is an advantage against existing model-based clustering methods. We illustrate the performance of the algorithm using two published intermediate scale human PPI data sets, which are representative of the AP-MS data generated from mammalian cells. We also discuss general challenges of analyzing and interpreting clustering results in the context of AP-MS data.

  3. Performance Analysis of Data-Driven and Model-Based Control Strategies Applied to a Thermal Unit Model

    Directory of Open Access Journals (Sweden)

    Cihan Turhan

    2017-01-01

    Full Text Available The paper presents the design and the implementation of different advanced control strategies that are applied to a nonlinear model of a thermal unit. A data-driven grey-box identification approach provided the physically–meaningful nonlinear continuous-time model, which represents the benchmark exploited in this work. The control problem of this thermal unit is important, since it constitutes the key element of passive air conditioning systems. The advanced control schemes analysed in this paper are used to regulate the outflow air temperature of the thermal unit by exploiting the inflow air speed, whilst the inflow air temperature is considered as an external disturbance. The reliability and robustness issues of the suggested control methodologies are verified with a Monte Carlo (MC analysis for simulating modelling uncertainty, disturbance and measurement errors. The achieved results serve to demonstrate the effectiveness and the viable application of the suggested control solutions to air conditioning systems. The benchmark model represents one of the key issues of this study, which is exploited for benchmarking different model-based and data-driven advanced control methodologies through extensive simulations. Moreover, this work highlights the main features of the proposed control schemes, while providing practitioners and heating, ventilating and air conditioning engineers with tools to design robust control strategies for air conditioning systems.

  4. Medical repatriation of migrant farm workers in Ontario: a descriptive analysis.

    Science.gov (United States)

    Orkin, Aaron M; Lay, Morgan; McLaughlin, Janet; Schwandt, Michael; Cole, Donald

    2014-07-01

    Approximately 40 000 migrant farm workers are employed annually in Canada through temporary foreign worker programs. Workers experiencing health conditions that prevent ongoing work are normally repatriated to their home country, which raises concerns about human rights and health equity. In this study, we present data on the reasons for medical repatriation of migrant farm workers in Ontario. In this retrospective descriptive study, we examined medical repatriation data from Foreign Agricultural Resource Management Services, a non-profit corporation managing the contracts of more than 15 000 migrant farm workers in Ontario annually. We extracted repatriation and demographic data for workers from 2001-2011. Physician volunteers used a validated system to code the reported reasons for medical repatriation. We conducted descriptive analyses of the dominant reasons for repatriation and rates of repatriation. During 2001-2011, 787 repatriations occurred among 170 315 migrant farm workers arriving in Ontario (4.62 repatriations per 1000 workers). More than two-thirds of repatriated workers were aged 30-49 years. Migrant farm workers were most frequently repatriated for medical or surgical reasons (41.3%) and external injuries including poisoning (25.5%). This study provides quantitative health data related to a unique and vulnerable occupational group. Our findings reinforce existing knowledge regarding occupational hazards and health conditions among migrant farm workers. Medical repatriation of migrant farm workers merits further examination as a global health equity concern.

  5. The ergonomics analysis of work: a case study in a experimental farm.

    Science.gov (United States)

    de Lourdes Santiago Luz, Maria; Lemos, Syntia

    2012-01-01

    This work presents the initial steps of ergonomic analysis of industrial activities, which are being held in the premises of an Agricultural Experimental farm belonging to an institution of higher education. The methods employed in the initial step was confined to desk research, its purpose was to know the demographic profile and understand organizational structure followed by systematic observations in workplaces using semi-structured interviews and a questionnaire of perception to operators. The presentation of the results will provide a summary of the analysis of activity sectors visited, understanding the biomechanical efforts entered (posture and strength), as well as the evaluation according to the perception of officials to respect the constraints, ambience and suggestions. It was noted that 90% of employees surveyed feel some kind of discomfort. It also highlights the age factor of this questionnaire, in which the majority (90%) is above 40 years old, and this fact confirms and reinforces the appearance or accumulation of injuries among the employers. At this stage there was no intention to deploy improvements, but create assumptions and guide future intervention actions that can be performed.

  6. Avian influenza transmission risks: analysis of biosecurity measures and contact structure in Dutch poultry farming.

    Science.gov (United States)

    Ssematimba, A; Hagenaars, T J; de Wit, J J; Ruiterkamp, F; Fabri, T H; Stegeman, J A; de Jong, M C M

    2013-04-01

    In the 2003 epidemic of highly pathogenic avian influenza in Dutch poultry, between-farm virus transmission continued for considerable time despite control measures. Gaining more insight into the mechanisms of this spread is necessary for the possible development of better control strategies. We carried out an in-depth interview study aiming to systematically explore all the poultry production activities to identify the activities that could potentially be related to virus introduction and transmission. One of the between-farm contact risks that were identified is the movement of birds between farms during thinning with violations of on-farm biosecurity protocols. In addition, several other risky management practices, risky visitor behaviours and biosecurity breaches were identified. They include human and fomite contacts that occurred without observing biosecurity protocols, poor waste management practices, presence of other animal species on poultry farms, and poor biosecurity against risks from farm neighbourhood activities. Among the detailed practices identified, taking cell phones and jewellery into poultry houses, not observing shower-in protocols and the exchange of unclean farm equipment were common. Also, sometimes certain protocols or biosecurity facilities were lacking. We also asked the interviewed farmers about their perception of transmission risks and found that they had divergent opinions about the visitor- and neighbourhood-associated risks. We performed a qualitative assessment of contact risks (as transmission pathways) based on contact type, corresponding biosecurity practices, and contact frequency. This assessment suggests that the most risky contact types are bird movements during thinning and restocking, most human movements accessing poultry houses and proximity to other poultry farms. The overall risk posed by persons and equipment accessing storage rooms and the premises-only contacts was considered to be medium. Most of the exposure

  7. Organic Farming, Gender, and the Labor Process

    Science.gov (United States)

    Hall, Alan; Mogyorody, Veronika

    2007-01-01

    This paper seeks to explain variations in gender participation in farm production and decision-making through an analysis of organic farm types, sizes, and orientations. Based on both survey and case study data, the analysis shows that female farmers on vegetable farms and mixed livestock/cash crop farms are more likely to be involved in farm…

  8. Qualitative stakeholder analysis for the development of sustainable monitoringssystem for farm animal welfare

    NARCIS (Netherlands)

    Bracke, M.B.M.; Greef, de K.H.; Hopster, H.

    2005-01-01

    Continued concern for animal welfare may be alleviated when welfare would be monitored on farms. Monitoring can be characterized as an information system where various stakeholders periodically exchange relevant information. Stakeholders include producers, consumers, retailers, the government, scien

  9. Carbon footprints of organic dairying in six European countries—real farm data analysis

    DEFF Research Database (Denmark)

    Hietala, Sanna; Smith, Laurence; Knudsen, Marie Trydeman;

    2015-01-01

    Dairy farming is the largest agricultural contributor to greenhouse gas emissions in Europe. In this study, the carbon footprint of organic dairying was evaluated by means of a life cycle assessment, based on real farm data from six European countries: Austria, Belgium, Denmark, Finland, Italy...... equivalents per kilogramme of energy-corrected milk with standard deviation of 0.22, which is consistent with recent studies. The main contributor to this is enteric fermentation from producing animals, resulting in 45 % of total GHG emissions, which is also consistent with previous studies....... and United Kingdom. A total of 34 farms were analysed. The assessment was carried out using an attributional approach with system boundaries from cradle to farm gate. In relation to dairy production, a functional unit of 1 kg of energy corrected milk was used. The results gave an average of 1.32 kg CO2...

  10. Saving water? : analysis of options for rice-based farms in Tamil Nadu, India

    NARCIS (Netherlands)

    Senthilkumar, K.

    2008-01-01

    Keywords: Modified rice cultivation, Water-saving, Farm typology, Technology adoption, Policy interventions, Farmers livelihoods, Resource use efficiency and Linear programming. The looming water crisis and water-intensive nature of rice cultivation are driving the search for alternative management

  11. Is Sustainability Compatible with Profitability? An Empirical Analysis on Family Farming Activity

    OpenAIRE

    Laura Piedra-Muñoz; Emilio Galdeano-Gómez; Juan C. Pérez-Mesa

    2016-01-01

    Sustainability is a social concern and a new strategic factor for productive and economic viability. Nevertheless, research on this subject in a holistic approach is limited, and even to a lesser extent when dealing with family farms. This paper analyzes the impact of different aspects of sustainability (socio-economic characteristics, environmentally respectful practices, and innovation) on profitability. The data collection instruments include a survey questionnaire on farming in Almería, a...

  12. Mitochondrial DNA analysis of eneolithic trypillians from Ukraine reveals neolithic farming genetic roots

    Science.gov (United States)

    Potekhina, Inna; Rohland, Nadin; Mallick, Swapan; Reich, David; Lillie, Malcolm

    2017-01-01

    The agricultural revolution in Eastern Europe began in the Eneolithic with the Cucuteni-Trypillia culture complex. In Ukraine, the Trypillian culture (TC) existed for over two millennia (ca. 5,400–2,700 BCE) and left a wealth of artifacts. Yet, their burial rituals remain a mystery and to date almost nothing is known about the genetic composition of the TC population. One of the very few TC sites where human remains can be found is a cave called Verteba in western Ukraine. This report presents four partial and four complete mitochondrial genomes from nine TC individuals uncovered in the cave. The results of this analysis, combined with the data from previous reports, indicate that the Trypillian population at Verteba carried, for the most part, a typical Neolithic farmer package of mitochondrial DNA (mtDNA) lineages traced to Anatolian farmers and Neolithic farming groups of central Europe. At the same time, the find of two specimens belonging to haplogroup U8b1 at Verteba can be viewed as a connection of TC with the Upper Paleolithic European populations. At the level of mtDNA haplogroup frequencies, the TC population from Verteba demonstrates a close genetic relationship with population groups of the Funnel Beaker/ Trichterbecker cultural complex from central and northern Europe (ca. 3,950–2,500 BCE). PMID:28235025

  13. Economic feasibility of biogas production in swine farms using time series analysis

    Directory of Open Access Journals (Sweden)

    Felipe Luis Rockenbach

    2016-07-01

    Full Text Available ABSTRACT: This study aimed to measure the economic feasibility and the time needed to return capital invested for the installation of a swine manure treatment system, these values originated the sale of carbon credits and/or of compensation of electric energy in swine farms, using the Box-Jenkins forecast models. It was found that the use of biogas is a viable option in a large scale with machines that operate daily for 10h or more, being the return period between 70 to 80 months. Time series analysis models are important to anticipate the series under study behavior, providing the swine breeder/investor means to reduce the financial investment risk as well as helping to decrease the production costs. Moreover, this process can be seen as another source of income and enable the breeder to be self-sufficient in the continuous supply of electric energy, which is very valuable nowadays considering that breeders are now increasingly using various technologies.

  14. Wind farm related mortality among avian migrants - a remote sensing study and model analysis

    Energy Technology Data Exchange (ETDEWEB)

    Desholm, M.

    2006-11-15

    This thesis is the result of a PhD study on bird-wind farm collisions and consists of a synopsis, five published papers, one submitted manuscript and another ready for submission. The papers describe the findings from pre- and post-construction visual, radar and thermal imaging studies (1999-2006) of migrating birds at the Nysted offshore wind farm in the Baltic Sea, Denmark. This thesis poses and answers the following questions: a) what hazard factors do offshore wind farming pose to wild birds, b) how should one choose the key focal species to study, c) how can remote sensing techniques be applied to the study of bird wind farm interactions, and d) specifically, how do water birds react when approaching an offshore wind farm? The main aim of the study was the development of a predictive bird-wind farm collision model that incorporates the avoidance rate of birds at multiple scales. Out of 235,136 migrating sea ducks only 47 individuals were predicted to collide with the wind turbine rotor-blades, equivalent to an overall mean collision risk of c. 0.02%. This thesis shows the added value of modelling in supplementing sound empirical studies in accessing the effects of major human development pressures on migratory bird populations. (au)

  15. Rigid model-based 3D segmentation of the bones of joints in MR and CT images for motion analysis.

    Science.gov (United States)

    Liu, Jiamin; Udupa, Jayaram K; Saha, Punam K; Odhner, Dewey; Hirsch, Bruce E; Siegler, Sorin; Simon, Scott; Winkelstein, Beth A

    2008-08-01

    There are several medical application areas that require the segmentation and separation of the component bones of joints in a sequence of images of the joint acquired under various loading conditions, our own target area being joint motion analysis. This is a challenging problem due to the proximity of bones at the joint, partial volume effects, and other imaging modality-specific factors that confound boundary contrast. In this article, a two-step model-based segmentation strategy is proposed that utilizes the unique context of the current application wherein the shape of each individual bone is preserved in all scans of a particular joint while the spatial arrangement of the bones alters significantly among bones and scans. In the first step, a rigid deterministic model of the bone is generated from a segmentation of the bone in the image corresponding to one position of the joint by using the live wire method. Subsequently, in other images of the same joint, this model is used to search for the same bone by minimizing an energy function that utilizes both boundary- and region-based information. An evaluation of the method by utilizing a total of 60 data sets on MR and CT images of the ankle complex and cervical spine indicates that the segmentations agree very closely with the live wire segmentations, yielding true positive and false positive volume fractions in the range 89%-97% and 0.2%-0.7%. The method requires 1-2 minutes of operator time and 6-7 min of computer time per data set, which makes it significantly more efficient than live wire-the method currently available for the task that can be used routinely.

  16. Model-based biofuels system analysis:a review%生物燃料系统分析模型

    Institute of Scientific and Technical Information of China (English)

    常世彦; 张希良; 赵丽丽; 欧训民

    2011-01-01

    定量化系统分析模型是生物燃料潜力预测、影响分析及制定技术路线图和政策目标的重要工具.生物燃料供应链涉及很多行业,需要进行基于农(林)业、能源、经济和环境等多学科领域的综合分析.以下从生物燃料系统分析所需解决的问题出发,梳理了国内外生物燃料系统分析的一般方法,重点对农(林)业系统模型、能源系统模型、综合评价模型,微观成本、能耗和排放分析模型以及生物燃料专项宏观分析模型的主要优缺点和适用性进行了分析,给出了相应的应用实例,并强调根据特定的研究问题,选择具有不同适用性的模型和研究路线.有助于研究人员和政策制定者更好地了解生物燃料系统分析方法,也为我国学术研究机构建立生物燃料分析模型提供了参考.%Model-based system analysis is an important tool for evaluating the potential and impacts of biofuels, and for drafting biofuels technology roadmaps and targets. The broad reach of the biofuels supply chain requires that biofuels system analyses span a range of disciplines, including agriculture/forestry, energy, economics, and the environment. Here we reviewed various models developed for or applied to modeling biofuels, and presented a critical analysis of Agriculture/Forestry System Models, Energy System Models, Integrated Assessment Models, Micro-level Cost, Energy and Emission Calculation Models, and Specific Macro-level Biofuel Models. We focused on the models' strengths, weaknesses, and applicability, facilitating the selection of a suitable type of model for specific issues. Such an analysis was a prerequisite for future biofuels system modeling, and represented a valuable resource for researchers and policy makers.

  17. Model-based analysis of skill oriented labour management in a multi-operations and multiworker static cut rose cultivation system

    NARCIS (Netherlands)

    Ooster, van 't A.; Bontsema, J.; Henten, van E.J.; Hemming, S.

    2015-01-01

    Worldwide competitive challenges urge growers to further improve operational performance. In this paper, the objective ‘model-based analysis and improvement of the operation of horticultural production systems’ was narrowed to ranking simulated labour management scenarios in a multi-operations and m

  18. A methodology for model-based greenhouse design: Part 3, sensitivity analysis of a combined greenhouse climate-crop yield model

    NARCIS (Netherlands)

    Vanthoor, B.H.E.; Henten, van E.J.; Stanghellini, C.; Visser, de P.H.B.

    2011-01-01

    Greenhouse design is an optimisation problem that might be solved by a model-based greenhouse design method. A sensitivity analysis of a combined greenhouse climate-crop yield model of tomato was done to identify the parameters, i.e. greenhouse design parameters, outdoor climate and climate set-poin

  19. Using a symbolic process model as input for model-based fMRI analysis : Locating the neural correlates of problem state replacements

    NARCIS (Netherlands)

    Borst, J.P.; Taatgen, N.A.; Van Rijn, D.H.

    2011-01-01

    In this paper, a model-based analysis method for fMRI is used with a high-level symbolic process model. Participants performed a triple-task in which intermediate task information needs to be updated frequently. Previous work has shown that the associated resource - the problem state resource - acts

  20. Farm systems assessment of bioenergy feedstock production: Integrating bio-economic models and life cycle analysis approaches.

    Science.gov (United States)

    Glithero, N J; Ramsden, S J; Wilson, P

    2012-06-01

    Climate change and energy security concerns have driven the development of policies that encourage bioenergy production. Meeting EU targets for the consumption of transport fuels from bioenergy by 2020 will require a large increase in the production of bioenergy feedstock. Initially an increase in 'first generation' biofuels was observed, however 'food competition' concerns have generated interest in second generation biofuels (SGBs). These SGBs can be produced from co-products (e.g. cereal straw) or energy crops (e.g. miscanthus), with the former largely negating food competition concerns. In order to assess the sustainability of feedstock supply for SGBs, the financial, environmental and energy costs and benefits of the farm system must be quantified. Previous research has captured financial costs and benefits through linear programming (LP) approaches, whilst environmental and energy metrics have been largely been undertaken within life cycle analysis (LCA) frameworks. Assessing aspects of the financial, environmental and energy sustainability of supplying co-product second generation biofuel (CPSGB) feedstocks at the farm level requires a framework that permits the trade-offs between these objectives to be quantified and understood. The development of a modelling framework for Managing Energy and Emissions Trade-Offs in Agriculture (MEETA Model) that combines bio-economic process modelling and LCA is presented together with input data parameters obtained from literature and industry sources. The MEETA model quantifies arable farm inputs and outputs in terms of financial, energy and emissions results. The model explicitly captures fertiliser: crop-yield relationships, plus the incorporation of straw or removal for sale, with associated nutrient impacts of incorporation/removal on the following crop in the rotation. Key results of crop-mix, machinery use, greenhouse gas (GHG) emissions per kg of crop product and energy use per hectare are in line with previous

  1. Analysis of Transmission of MRSA and ESBL-E among Pigs and Farm Personnel.

    Science.gov (United States)

    Schmithausen, Ricarda Maria; Schulze-Geisthoevel, Sophia Veronika; Stemmer, Franziska; El-Jade, Mohamed; Reif, Marion; Hack, Sylvia; Meilaender, Alina; Montabauer, Gabriele; Fimmers, Rolf; Parcina, Marijo; Hoerauf, Achim; Exner, Martin; Petersen, Brigitte; Bierbaum, Gabriele; Bekeredjian-Ding, Isabelle

    2015-01-01

    Livestock-associated bacteria with resistance to two or more antibiotic drug classes have heightened our awareness for the consequences of antibiotic consumption and spread of resistant bacterial strains in the veterinary field. In this study we assessed the prevalence of concomitant colonization with livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) and enterobacteriaceae expressing extended-spectrum betalactamases (ESBL-E) in farms at the German-Dutch border region. Nasal colonization of pigs with MRSA (113/547 (20.7%)) was less frequent than rectal colonization with ESBL-E (163/540 (30.2%)). On the individual farm level MRSA correlated with ESBL-E recovery. The data further provide information on prevalence at different stages of pig production, including abattoirs, as well as in air samples and humans living and working on the farms. Notably, MRSA was detected in stable air samples of 34 out of 35 pig farms, highlighting air as an important MRSA transmission reservoir. The majority of MRSA isolates, including those from humans, displayed tetracycline resistance and spa types t011 and t034 characteristic for LA-MRSA, demonstrating transmission from pigs to humans. ESBL-E positive air samples were detected on 6 out of 35 farms but no pig-to-human transmission was found. Detection of ESBL-E, e.g. mostly Escherichia coli with CTX-M-type ESBL, was limited to these six farms. Molecular typing revealed transmission of ESBL-E within the pig compartments; however, related strains were also found on unrelated farms. Although our data suggest that acquisition of MRSA and ESBL-E might occur among pigs in the abattoirs, MRSA and ESBL-E were not detected on the carcasses. Altogether, our data define stable air (MRSA), pig compartments (ESBL-E) and abattoir waiting areas (MRSA and ESBL-E) as major hot spots for transmission of MRSA and/or ESBL-E along the pig production chain.

  2. Wind farm development: An analysis of factors influencing residents' perceptions of wind turbines

    Science.gov (United States)

    Groth, Theresa M.

    Assisting communities adjust to change is crucial in ensuring that successful, vibrant communities continue to flourish. Recent studies have suggested that a lack of community involvement in planning stages, uncertainty regarding proposals, place attachment and NIMBY (Not-In-My-Backyard) are some factors used to explain resistance to wind development (Jones & Eiser, 2009; 2010; Swofford & Slattery, 2010). This research studies perceptions and support levels held by residents in four townships of Huron County, MI of wind farm development. The aim of this study was to determine whether proximity to a wind turbine, ownership of land, and knowledge of wind energy influenced perceptions of and support of wind farm development. Social exchange theory aided in the interpretation of the research results. Social, economic and environmental belief factors were tested to evaluate their role in shaping perceptions and support. Data were collected using the mixed methods of interviews of stakeholders and mail surveys to landowners (n=497 respondents, 50% response rate). The results suggested proximity, amount of land owned, and self-rated knowledge of wind energy were not related to perceptions of or support for wind farm development. Social beliefs about positive outcomes were strongly related to perceptions of wind farm development, followed by economic beliefs about outcomes of wind farm development. Respondents who were neutral in their opinions before development tended to perceive wind farms negatively after construction. Social and environmental beliefs about positive outcomes of wind turbines were strongly related to support for wind farm development, yet concerns regarding impact on the environment, economy and people existed.

  3. New Approaches for Very Short-term Steady-State Analysis of An Electrical Distribution System with Wind Farms

    Directory of Open Access Journals (Sweden)

    Antonio Bracale

    2010-04-01

    Full Text Available Distribution networks are undergoing radical changes due to the high level of penetration of dispersed generation. Dispersed generation systems require particular attention due to their incorporation of uncertain energy sources, such as wind farms, and due to the impacts that such sources have on the planning and operation of distribution networks. In particular, the foreseeable, extensive use of wind turbine generator units in the future requires that distribution system engineers properly account for their impacts on the system. Many new technical considerations must be addressed, including protection coordination, steady-state analysis, and power quality issues. This paper deals with the very short-term, steady-state analysis of a distribution system with wind farms, for which the time horizon of interest ranges from one hour to a few hours ahead. Several wind-forecasting methods are presented in order to obtain reliable input data for the steady-state analysis. Both deterministic and probabilistic methods were considered and used in performing deterministic and probabilistic load-flow analyses. Numerical applications on a 17-bus, medium-voltage, electrical distribution system with various wind farms connected at different busbars are presented and discussed.

  4. Participation in Farm Markets in Rural Northwest Pakistan: A Regression Analysis

    Directory of Open Access Journals (Sweden)

    Inayatullah Jan

    2012-12-01

    Full Text Available Participation in farm markets is important for increasing income of farmers in the developing countries. A number of factors account for a household participation in agricultural marketing. This study attempts to explore such associated factors which playa significant role in farmers’ participation in farm markets in rural northwest Pakistan. Drawing on empirical data from the field survey; gur, vegetables, and milk were the main products offered for marketing in the area. The degree of specialization of marketrelations was based on the nature of the farm product. In gur markets, the marketing relations were based on personalized terms whereas in vegetable markets, they were exclusively commercialized. The results of the binary logit model show that size of selfcultivatedland and number of livestock, were important determinants of a household participation in agricultural marketing. The study concludes that participation in agricultural markets could be substantially increased through improved infrastructure,commercialized farming systems, and increased number of farm markets so that the dominance of few selected commission agents is minimized.

  5. Economic analysis of reproductive management strategies on US commercial dairy farms.

    Science.gov (United States)

    Olynk, N J; Wolf, C A

    2008-10-01

    Reproductive management has received increased attention in recent years as new technologies and programs have been developed to aid dairy managers in efficiently breeding cows and heifers. Efficient breeding of cows and heifers has become increasingly difficult as fertility has decreased because of a correlated negative response with milk yield. Dairy farm survey results were used to parameterize the economic analyses of reproductive management programs. Reproductive management program costs and the levels of reproductive performance achieved with such programs varied significantly among farms and were especially sensitive to on-farm labor costs. For example, visual heat detection requires more hours of labor per cow than use of an estrus synchronization program. Therefore, visual heat detection programs were relatively more sensitive to labor costs than synchronization programs. In addition, past reproductive performance was found to affect the determination of which reproductive program was optimal. Farms that had attained high levels of labor efficiency for visual heat detection in the past had less incentive to adopt a synchronization program than farms with less efficient visual heat detection.

  6. CONSRANK: a server for the analysis, comparison and ranking of docking models based on inter-residue contacts

    KAUST Repository

    Chermak, Edrisse

    2014-12-21

    Summary: Herein, we present CONSRANK, a web tool for analyzing, comparing and ranking protein–protein and protein–nucleic acid docking models, based on the conservation of inter-residue contacts and its visualization in 2D and 3D interactive contact maps.

  7. Observing farming systems

    DEFF Research Database (Denmark)

    Noe, Egon; Alrøe, Hugo Fjelsted

    2012-01-01

    In Denmark, agriculture is becoming increasingly specialised, and more and more actors are becoming involved in farm decision making. These trends are more or less pronounced in other European countries as well. We therefore find that to understand modern farming systems, we have to shift the focus...... of analysis from individual farmers to communication and social relations. This is where Luhmann’s social systems theory can offer new insights. Firstly, it can help observe and understand the operational closure and system logic of a farming system and how this closure is produced and reproduced. Secondly...

  8. Structural and bio-technical analysis of terrestrial trout farms in Tokat province

    Directory of Open Access Journals (Sweden)

    Nihat YEŞİLAYAR

    2013-06-01

    Full Text Available This study was carried out by the aim of determining the feasibilities, structural and bio-technical problems of aquaculture facilities in Tokatprovince.Total 7 licensed fish farms and located in the fresh water were determined. All of them were visited and interviewed with their owners face to face. The data were collected in order to determine present condition of fish farms and their problems.Although total project capacities of farms were 96 tons/year, the actual production was found 96 tons/year. Average fishproductionof facilities16tons/yearwas found. The average feed conversion rate (FCR as found 1.09. We have figured out that ponds have not been productively used and stock density is very high in Tokat, present aquaculture investments must rearranged considering scientific data

  9. ANALYSIS OF THE ENERGY EFFICIENCY OF PHOTOVOLTAIC POLYCRYSTALLINE AND THIN-FILM PHOTOVOLTAIC FARM IN THE DOLINA ZIELAWY

    Directory of Open Access Journals (Sweden)

    Piotr Dragan

    2016-12-01

    Full Text Available Renewable energy is an opportunity not only to improve the energy efficiency of individual customers, but also to ensure energy security for local governments. In 2007, in Lublin province 5 municipalities have formed a partnership government called "Valley of Zielawa". The objectives of the partnership is the cooperation in the field of education, tasks in the field of culture, health protection, social welfare, fire protection and street lighting. One of the overarching goals of the partnership include ensure energy security and improving energy efficiency through the utilization of solar energy. Solar energy resources in the Lublin region are mainly characterized by a very high degree of sunlight compared to other regions of the country. The greatest potential for solar energy use is the eastern area of the province (including the area of partnership. In order to ensure the energy security of the community established a company Energy Valley of Zielawa, which in 2014 built a photovoltaic farm with a capacity of 1.4 MW in the Bordziłówka in Municipality Rossosz. This paper presents an analysis of photovoltaic farm work over the year and a half and the analysis of the energy efficiency of various types of photovoltaic panels which produce energy on a farm in photovoltaic Bordziłówce.

  10. Voltage stability analysis of grid-connected wind farms with FACTS: Static and dynamic analysis

    Directory of Open Access Journals (Sweden)

    Kevin Zibran Heetun

    2016-01-01

    Full Text Available Recently, analysis of some major blackouts and failures of power system shows that voltage instability problem has been one of the main reasons of these disturbances and network collapses. In this article, a systematic approach to voltage stability analysis using various techniques for the IEEE 14-bus case study is presented. Static analysis is used to analyze the voltage stability of the system under study, while the dynamic analysis is used to evaluate the performance of compensators. The static techniques used are power flow, V–P curve analysis, and Q–V modal analysis. In this study, Flexible Alternating Current Transmission system (FACTS devices—namely, static synchronous compensators (STATCOMs and static var compensators (SVCs—are used as reactive power compensators, taking into account maintaining the violated voltage magnitudes of the weak buses within the acceptable limits defined in ANSI C84.1. Simulation results validate that both the STATCOMs and the SVCs can be effectively used to enhance the static voltage stability and increasing network loadability margin. Additionally, based on the dynamic analysis results, it has been shown that STATCOMs have superior performance, in dynamic voltage stability enhancement, compared to SVCs.

  11. Farm Team.

    Science.gov (United States)

    Gordon, Debra

    2001-01-01

    Describes a Philadelphia high school in which urban students study agricultural sciences to prepare for college and careers. The campus has a complete working farm, and students are exposed to a wide range of agricultural career opportunities while also studying core academic subjects. The school's farm units are real businesses, so students are…

  12. Wind farm related mortality among avian migrants - a remote sensing study and model analysis

    DEFF Research Database (Denmark)

    Desholm, M.

    ,136 migrating sea ducks only 47 individuals were predicted to collide with the wind turbine rotor-blades, equivalent to an overall mean collision risk of c. 0.02%. This thesis shows the added value of modelling in supplementing sound empirical studies in accessing the effects of major human development......-2006) of migrating birds at the Nysted offshore wind farm in the Baltic Sea, Denmark. This thesis poses and answers the following questions: a) what hazard factors do offshore wind farming pose to wild birds, b) how should one choose the key focal species to study, c) how can remote sensing techniques be applied...

  13. Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in The Supply Chain Using Model-Based Definition.

    Science.gov (United States)

    Trainer, Asa; Hedberg, Thomas; Feeney, Allison Barnard; Fischer, Kevin; Rosche, Phil

    2016-01-01

    Advances in information technology triggered a digital revolution that holds promise of reduced costs, improved productivity, and higher quality. To ride this wave of innovation, manufacturing enterprises are changing how product definitions are communicated - from paper to models. To achieve industry's vision of the Model-Based Enterprise (MBE), the MBE strategy must include model-based data interoperability from design to manufacturing and quality in the supply chain. The Model-Based Definition (MBD) is created by the original equipment manufacturer (OEM) using Computer-Aided Design (CAD) tools. This information is then shared with the supplier so that they can manufacture and inspect the physical parts. Today, suppliers predominantly use Computer-Aided Manufacturing (CAM) and Coordinate Measuring Machine (CMM) models for these tasks. Traditionally, the OEM has provided design data to the supplier in the form of two-dimensional (2D) drawings, but may also include a three-dimensional (3D)-shape-geometry model, often in a standards-based format such as ISO 10303-203:2011 (STEP AP203). The supplier then creates the respective CAM and CMM models and machine programs to produce and inspect the parts. In the MBE vision for model-based data exchange, the CAD model must include product-and-manufacturing information (PMI) in addition to the shape geometry. Today's CAD tools can generate models with embedded PMI. And, with the emergence of STEP AP242, a standards-based model with embedded PMI can now be shared downstream. The on-going research detailed in this paper seeks to investigate three concepts. First, that the ability to utilize a STEP AP242 model with embedded PMI for CAD-to-CAM and CAD-to-CMM data exchange is possible and valuable to the overall goal of a more efficient process. Second, the research identifies gaps in tools, standards, and processes that inhibit industry's ability to cost-effectively achieve model-based-data interoperability in the pursuit of the

  14. Wind farm related mortality among avian migrants - a remote sensing study and model analysis

    DEFF Research Database (Denmark)

    Desholm, M.

    This thesis is the result of a PhD study on bird-wind farm collisions and consists of a synopsis, five published papers, one submitted manuscript and another ready for submission. The papers describe the fi ndings from pre- and post-construction visual, radar and thermal imaging studies (1999-200...

  15. Analysis of farm specific risk factors for Campylobacter colonization of broilers in six European countries

    DEFF Research Database (Denmark)

    Sommer, Helle Mølgaard; Borck Høg, Birgitte; Larsen, Lars Stehr

    2016-01-01

    This study presents on-farm risk factors for the colonization of broiler flocks with Campylobacter based on comparable data from six European countries: Denmark, the Netherlands, Norway, Poland, Spain, and the UK. The study includes explanatory variables from a large questionnaire concerning prod...

  16. Econometric analysis of economic and environmental efficiency of Dutch dairy farms

    NARCIS (Netherlands)

    Reinhard, S.

    1999-01-01

    The Dutch government aims for competitive and sustainable farms, that use marketable inputs efficiently as well as apply environmentally detrimental variables efficiently in the production process. The objective of this research is to define, to estimate and to evaluate environmental efficiency. Env

  17. On the Analysis of a Wave Energy Farm with Focus on Maintenance Operations

    Directory of Open Access Journals (Sweden)

    Giovanni Rinaldi

    2016-08-01

    Full Text Available Wave energy has a promising technical potential that could contribute to the future energy mix. However, costs related to the deployment of wave energy converters (WECs are still high compared to other technologies. In order to reduce these costs, two principle options are available, a reduction in cost and an increase in productivity. This paper presents a reliability-based computational tool to identify typical decision problems and to shed light on the complexity of optimising a wave power farm. The proposed tool is used to investigate productivity and availability of a wave energy farm during 10 years of operational life. A number of optimization possibilities to improve productivity, namely vessel choice, maintenance regime, failure rate and component redundancy, are then explored in order to assess their effectiveness. The paper quantifies the yield increase and provides a practical approach to evaluate the effectiveness of strategic and operational decision options. Results, in terms of the variations in productivity and availability of the farm, are analysed and discussed. Conclusions highlight the importance of reliability-centred simulations that consider the specific decision parameters throughout the operational life to find suitable solutions that increase the productivity and reduce the running cost for offshore farms.

  18. Comparative analysis of village chicken production in two farming systems in Burkino Faso

    NARCIS (Netherlands)

    Kondombo, S.R.; Nianogo, A.J.; Kwakkel, R.P.; Udo, H.M.J.; Slingerland, M.A.

    2003-01-01

    This study aimed to describe and compare village chicken production in two farming systems in Burkina Faso. The systems were those in which crops and livestock production were, respectively, the most important. A rapid rural appraisal preceded a monitoring study in which data were collected fortnigh

  19. Avian influenza trasnmission risks: analysis of biosecuritiy measures and contact structure in Dutch poultry farming

    NARCIS (Netherlands)

    Ssematimba, A.; Hagenaars, T.H.J.; Wit, de J.J.; Ruiterkamp, F.; Fabri, T.H.F.; Stegeman, J.A.; Jong, de M.C.M.

    2013-01-01

    In the 2003 epidemic of highly pathogenic avian influenza in Dutch poultry, between-farm virus transmission continued for considerable time despite control measures. Gaining more insight into the mechanisms of this spread is necessary for the possible development of better control strategies. We car

  20. A Critical Race and Class Analysis of Learning in the Organic Farming Movement

    Science.gov (United States)

    Etmanski, Catherine

    2012-01-01

    The purpose of this paper is to add to a growing body of literature that critiques the whiteness of the organic farming movement and analyse potential ramifications of this if farmers are to be understood as educators. Given that farmers do not necessarily self-identify as educators, it is important to understand that in raising this critique,…

  1. Impacts of Wake Effect and Time Delay on the Dynamic Analysis of Wind Farms Models

    Science.gov (United States)

    El-Fouly, Tarek H. M.; El-Saadany, Ehab F.; Salama, Magdy M. A.

    2008-01-01

    This article investigates the impacts of proper modeling of the wake effects and wind speed delays, between different wind turbines' rows, on the dynamic performance accuracy of the wind farms models. Three different modeling scenarios were compared to highlight the impacts of wake effects and wind speed time-delay models. In the first scenario,…

  2. Wind Farm Group Efficiency - A Sensitivity Analysis with a Mesoscale Model

    DEFF Research Database (Denmark)

    Volker, Patrick; Badger, Jake; Hahmann, Andrea N.

    2014-01-01

    The total installed capacity in the North Sea was in 2012 5 GW, and it estimated that it will grow to 40 GW by 2020 (EWEA). This will lead to an increasing wind farm density in regions with the most favourable conditions. In this study, we investigate the sensitivity of power density losses to wi...

  3. Combined analysis of climate, technological and price changes on future arable farming systems in Europe

    NARCIS (Netherlands)

    Wolf, J.; Kanellopoulos, Argyris; Kros, J.; Webber, H.; Zhao, G.; Britz, W.; Reinds, G.J.; Ewert, F.; Vries, de W.

    2015-01-01

    In this study, we compare the relative importance of climate change to technological, management, price and policy changes on European arable farming systems. This required linking four models: the SIMPLACE crop growth modelling framework to calculate future yields under climate change for arable cr

  4. Analysis of Transmission of MRSA and ESBL-E among Pigs and Farm Personnel.

    Directory of Open Access Journals (Sweden)

    Ricarda Maria Schmithausen

    Full Text Available Livestock-associated bacteria with resistance to two or more antibiotic drug classes have heightened our awareness for the consequences of antibiotic consumption and spread of resistant bacterial strains in the veterinary field. In this study we assessed the prevalence of concomitant colonization with livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA and enterobacteriaceae expressing extended-spectrum betalactamases (ESBL-E in farms at the German-Dutch border region. Nasal colonization of pigs with MRSA (113/547 (20.7% was less frequent than rectal colonization with ESBL-E (163/540 (30.2%. On the individual farm level MRSA correlated with ESBL-E recovery. The data further provide information on prevalence at different stages of pig production, including abattoirs, as well as in air samples and humans living and working on the farms. Notably, MRSA was detected in stable air samples of 34 out of 35 pig farms, highlighting air as an important MRSA transmission reservoir. The majority of MRSA isolates, including those from humans, displayed tetracycline resistance and spa types t011 and t034 characteristic for LA-MRSA, demonstrating transmission from pigs to humans. ESBL-E positive air samples were detected on 6 out of 35 farms but no pig-to-human transmission was found. Detection of ESBL-E, e.g. mostly Escherichia coli with CTX-M-type ESBL, was limited to these six farms. Molecular typing revealed transmission of ESBL-E within the pig compartments; however, related strains were also found on unrelated farms. Although our data suggest that acquisition of MRSA and ESBL-E might occur among pigs in the abattoirs, MRSA and ESBL-E were not detected on the carcasses. Altogether, our data define stable air (MRSA, pig compartments (ESBL-E and abattoir waiting areas (MRSA and ESBL-E as major hot spots for transmission of MRSA and/or ESBL-E along the pig production chain.

  5. Analysis of Debris Trajectories at the Scaled Wind Farm Technology (SWiFT) Facility

    Energy Technology Data Exchange (ETDEWEB)

    White, Jonathan R. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Burnett, Damon J. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2016-01-01

    Sandia National Laboratories operates the Scaled Wind Farm Technology Facility (SWiFT) on behalf of the Department of Energy Wind and Water Power Technologies Office. An analysis was performed to evaluate the hazards associated with debris thrown from one of SWiFT’s operating wind turbines, assuming a catastrophic failure. A Monte Carlo analysis was conducted to assess the complex variable space associated with debris throw hazards that included wind speed, wind direction, azimuth and pitch angles of the blade, and percentage of the blade that was separated. In addition, a set of high fidelity explicit dynamic finite element simulations were performed to determine the threshold impact energy envelope for the turbine control building located on-site. Assuming that all of the layered, independent, passive and active engineered safety systems and administrative procedures failed (a 100% failure rate of the safety systems), the likelihood of the control building being struck was calculated to be less than 5/10,000 and ballistic simulations showed that the control building would not provide passive protection for the majority of impact scenarios. Although options exist to improve the ballistic resistance of the control building, the recommendation is not to pursue them because there is a low probability of strike and there is an equal likelihood personnel could be located at similar distances in other areas of the SWiFT facility which are not passively protected, while the turbines are operating. A fenced exclusion area has been created around the turbines which restricts access to the boundary of the 1/100 strike probability. The overall recommendation is to neither relocate nor improve passive protection of the control building as the turbine safety systems have been improved to have no less than two independent, redundant, high quality engineered safety systems. Considering this, in combination with a control building strike probability of less than 5/10,000, the

  6. A Comprehensive Analysis on Spread and Distribution Characteristic of Antibiotic Resistance Genes in Livestock Farms of Southeastern China.

    Directory of Open Access Journals (Sweden)

    Na Wang

    Full Text Available The pollution of antibiotic resistance genes (ARGs in livestock farms is a problem which need to be paid more attention to, due to the severe resistance dissemination and the further human health risk. In this study, all the relevant exposure matrices (manure, soil and water of sixteen animal farms in Southeastern China were sampled to determine twenty-two ARGs conferring resistance to five major classes of antibiotics including tetracyclines, sulfonamides, quinolones, aminoglycosides, and macrolides. The results showed that the spread property of sul genes was most extensive and strong, followed by tet and erm genes. The abundance of tet genes expressing ribosomal protection proteins (tetM, tetO, tetQ, tetT and tetW was higher than that expressing efflux pump proteins (tetA, tetC, tetE and tetG in each type of samples. The high abundance and frequency of ermB gene in the matrices should be paid more attention, because macrolides is a major medicine for human use. For manures, it was found that the similar ARGs distribution rules were existing in poultry manure or porcine manure samples, despite of the different origins of these two types of livestock farms. Meanwhile, it was interesting that the distribution rule of tet genes in animal manure was nearly the same as all the ARGs. For soils, the result of nonmetric multi-dimensional scaling (NMDS analysis showed that the pollution of ARGs in the soils fertilized by poultry and cattle manures were more substantial in northern Jiangsu, but no significant ARGs diversity was observed among porcine manured soils of five different regions. Furthermore, most ARGs showed significant positive relationships with environmental variables such as concentration of sulfonamides, tetracyclines, Cu, Zn and total organic carbon (TOC. The pollution profile and characteristics of so many ARGs in livestock farms can provide significative foundation for the regulation and legislation of antibiotics in China.

  7. Soil Protection measures based on the analysis if sediment sources in a commercial farm at the Guadalquivir Valley (Spain)

    Science.gov (United States)

    Albert, Enrique; Brígido, Consuelo; Herrera, Pascual; Migallón, Jose Ignacio; Taguas, Encarnación V.

    2016-04-01

    High soil losses are associated with agricultural areas dedicated to traditional crops in Spain (olive, grapevine, almond and sunflower, among others) and they caused by interacting drivers such as frequent intense events, steep/hilly slopes and unsuitable managements (De Santisteban et al., 2006). These crops are essential for the Spanish economy but at the same time, they constitute important areas of soil degradation. This work has been promoted by a farm owner interested in improving the sustainability of his farm as well as solving traffic problems derived from a gully. An analysis based on a modeling approach and field measurements was carried out in order to diagnose the main sediment sources of a farm with traditional Mediterranean crops (sunflower and olives) and to propose actions for optimizing soil conservation efforts. Firstly, an environmental study to characterize meteorological and topographical features, soil properties and managements was performed. The farm was divided in different areas belonging to the same hydrological catchment, land-use and management. Secondly, splash and inter-rill erosion were evaluated in each spatial unit through the RUSLE model. Rills and gullies in the catchment were also measured by using orthophotographies and a tape in the field to calculate their corresponding sediment volume. Finally, a plan of soil protection measures was designed and presented to the owner who will apply the proposed actions, mainly cover crop seeding and construction of check dams. REFERENCES: De Santisteban, L. M., J. Casalí, and J. J. López. 2006. Assessing soil erosion rates in cultivated areas of Navarre (Spain). Earth Surf. Process. Landforms 31: 487-506.

  8. Farm Animals

    Science.gov (United States)

    ... same bacterium that has become resistant to certain antibiotics, which can make infections harder to treat. MRSA can be passed back and forth between people and farm animals through direct contact. In humans, MRSA can cause ...

  9. Use of compositional analysis to distinguish farmed and wild gilthead seabream (Sparus aurata

    Directory of Open Access Journals (Sweden)

    F. Valfré

    2010-01-01

    Full Text Available Recent food scares have emphasized the need for traceability in the food chain. This is particularly true in the fish sector, where a large difference in the final price between wild and farmed fish and even between farmed fish reared in different countries exists. So for these commercial and hygienic reasons it is very important to find useful tools for the characterization of quality of fish and for the differentiation of fish from different production methods and from different countries, in accordance with EC Regulation No. 2065/2001 and Italian Ministry of Agriculture Decree No. 27.03.02, that allow retail trade of fishery and aquaculture products only against the indication of the official commercial name, the method of production and the geographical origin of fish (Moretti et al., 2003.

  10. Security and Stability Analysis of Wind Farms Integration into Distribution Network

    Science.gov (United States)

    Guan-yang, Li; Hongzhao, Wang; Guanglei, Li; Yamei, Cheng; Hong-zheng, Liu; Yi, Sun

    2017-05-01

    With the increasing share of the wind power in the power system, wind power fluctuations will cause obvious negative impacts on weak local grid. This paper firstly establish electromechanical transient simulation model for doubly fed induction wind turbine, then use Matlab/Simulink to achieve power flow calculation and transient simulation of power system including wind farms, the local synchronous generator, load, etc, finally analyze wind power on the impact of the local power grid under typical circumstances. The actual calculated results indicate that wind mutation causes little effect on the power grid, but when the three-phase short circuit fault happens, active power of wind power decreases sharply and the voltage of location of wind power into the grid also drop sharply, finally wind farm split from power system. This situation is not conducive to security and stability of the local power grid. It is necessary to develop security and stability measures in the future.

  11. Arabica Coffee Farming and Marketing Chain Analysis in Manggarai and EastManggarai Districts

    OpenAIRE

    Dhiany. Faila Sophia Hartatri; Bernard de Rosari

    2011-01-01

    Arabica coffee has a unique flavour and very potential market. The purpose of this study was to analyse Arabica coffee farming and to investigate its performance of marketing chains in Manggarai and East Manggarai Districts, Flores, East Nusa Tenggara Province. This research was conducted in 2008-2010 by interviewing coffee farmers and coffee buyers; using open and close questions. The number of respondents were 100 people in each district. The result showed that land holding per household fa...

  12. Emergy evaluation and economic analysis of three wetland fish farming systems in Nansi Lake area, China.

    Science.gov (United States)

    Zhang, L X; Ulgiati, S; Yang, Z F; Chen, B

    2011-03-01

    Emergy and economic methods were used to evaluate and compare three fish production models, i.e., cage fish farming system, pond intensive fish rearing system and semi-natural extensive pond fish rearing system, in Nansi Lake area in China in the year 2007. The goal of this study was to understand the benefits and driving forces of selected fish production models from ecological and economic points of view. The study considered input structure, production efficiency, environmental impacts, economic viability and sustainability. Results show that the main difference among the three production systems was the emergy cost for fish feed associated with their feeding system, i.e., feeding on natural biomass such as plankton and grass or on commercial feedstock. As indicated by EYR, ELR and ESI, it can be clearly shown that the intensive production model with commercial feed is not a sustainable pattern. However, the point is that more environmentally sound patterns do not seem able to provide a competitive net profit in the short run. The intensive pond fish farming system had a net profit of 2.57E+03 $/ha, much higher than 1.27E+03 $/ha for cage fish farming system and slightly higher than 2.37E+03 $/ha for semi-natural fish farming system. With regard to the drivers of local farmer's decisions, the accessibility of land for the required use and investment ability determine the farmer's choice of the production model and the scale of operation, while other factors seem to have little effect. Theoretically, the development of environmentally sustainable production patterns, namely water and land conservation measures, greener feed as well as low waste systems is urgently needed, to keep production activities within the carrying capacity of ecosystems. Coupled emergy and economic analyses can provide better insight into the environmental and economic benefits of fish production systems and help solve the problems encountered during policy making.

  13. Sub-Synchronous Interaction Analysis between DFIG Based Wind Farm and Series Compensated Network

    DEFF Research Database (Denmark)

    Wang, Yun; Wu, Qiuwei; Kang, Shaoli

    2016-01-01

    This paper analyzes the sub-synchronous interaction (SSI) phenomenon between the doubly fed induction generator (DFIG) based wind farm (WF) and the series capacitor compensated network. The possible types of SSI in the DFIG based WF are studied. The factors influencing the SSI of DFIG based WF...... are investigated. The large signal stability and small signal stability of the DFIG based WF with different series compensation (SC) level and wind speed are simulated and compared....

  14. Analysis of operation and maintenance strategies for floating offshore wind farms

    OpenAIRE

    Brons-Illing, Christopher

    2015-01-01

    This report describes the computations that have been made to simulate the O&M cost for a generic floating offshore wind farm. The aim of this paper is to investigate if the floating foundation technology offers new approaches for the way offshore wind power plants are operated and maintained. The possibility to return the semisubmersible wind turbine to shore, allows that maintenance activities could be carried out near to shore (for example in a dry dock) with fewer restrictions...

  15. GIS-based method for wind farm location multi-criteria analysis

    Directory of Open Access Journals (Sweden)

    Michał Szurek

    2014-09-01

    Full Text Available The paper presents a GIS-based method for selecting an optimum location of wind farm on the case study of the Prusice commune in Lower Silesia (SW Poland. The adopted multi-criteria approach utilises the Analytic Hierarchy Process (AHP and Weighted Linear Combination (WLC methods to determine weights of sitting criteria (factors and constraints, and to develop a composite suitability map from single-factor maps representing these criteria. The adopted sitting criteria have been identified based on literature review, and include: technical, spatial, social and environmental aspects of wind farm development, and also address specific geographical constrains of this part of Poland. The most suitable and suitable areas have been presented on a wind farm suitability map for the commune. The area size of the largest suitable spots (14 varies from 10 to 64 ha. The proposed method and the results of this work can be used to support sustainable spatial policy and spatial development on all levels of public administration related to renewable resources use.

  16. ECONOMICS ANALYSIS OF OPTIMAL MILK PRODUCTION IN SMALL-SCALE DAIRY FARMING IN YOGYAKARTA, INDONESIA

    Directory of Open Access Journals (Sweden)

    Himawan Arif

    2015-12-01

    Full Text Available Dairy farm, which produces calf and milk jointly, is expected to raise household’s income in rural areas where potential resources are available. This study aims at examing the optimal production of milk and calf by estimating a relationship between both productions. The study was conducted in Sleman,Yogyakartawhere dairy farms exist. Theory used in this study is economies scope in joint production. The results of study indicate that the level of joint production is still low such that there is no degree in economies of scope. Consequently, household’s income generated from this farm has not been maximised. To increase the income, it can be conducted by two consecutive steps. First, is to increase the production milk and calf jointly until the degree of economies of scope reached. Second, is to produce milk and calf in the best combination after reaching economies of scope. Recently, the best way to maximise income is to produce calf as low as possible, and to increase the period of producing milk.  

  17. Temporal and spatial analysis of psittacosis in association with poultry farming in the Netherlands, 2000-2015.

    Science.gov (United States)

    Hogerwerf, Lenny; Holstege, Manon M C; Benincà, Elisa; Dijkstra, Frederika; van der Hoek, Wim

    2017-07-26

    Human psittacosis is a highly under diagnosed zoonotic disease, commonly linked to psittacine birds. Psittacosis in birds, also known as avian chlamydiosis, is endemic in poultry, but the risk for people living close to poultry farms is unknown. Therefore, our study aimed to explore the temporal and spatial patterns of human psittacosis infections and identify possible associations with poultry farming in the Netherlands. We analysed data on 700 human cases of psittacosis notified between 01-01-2000 and 01-09-2015. First, we studied the temporal behaviour of psittacosis notifications by applying wavelet analysis. Then, to identify possible spatial patterns, we applied spatial cluster analysis. Finally, we investigated the possible spatial association between psittacosis notifications and data on the Dutch poultry sector at municipality level using a multivariable model. We found a large spatial cluster that covered a highly poultry-dense area but additional clusters were found in areas that had a low poultry density. There were marked geographical differences in the awareness of psittacosis and the amount and the type of laboratory diagnostics used for psittacosis, making it difficult to draw conclusions about the correlation between the large cluster and poultry density. The multivariable model showed that the presence of chicken processing plants and slaughter duck farms in a municipality was associated with a higher rate of human psittacosis notifications. The significance of the associations was influenced by the inclusion or exclusion of farm density in the model. Our temporal and spatial analyses showed weak associations between poultry-related variables and psittacosis notifications. Because of the low number of psittacosis notifications available for analysis, the power of our analysis was relative low. Because of the exploratory nature of this research, the associations found cannot be interpreted as evidence for airborne transmission of psittacosis from

  18. Summary of Data Farming

    Directory of Open Access Journals (Sweden)

    Gary Horne

    2016-03-01

    Full Text Available Data Farming is a process that has been developed to support decision-makers by answering questions that are not currently addressed. Data farming uses an inter-disciplinary approach that includes modeling and simulation, high performance computing, and statistical analysis to examine questions of interest with a large number of alternatives. Data farming allows for the examination of uncertain events with numerous possible outcomes and provides the capability of executing enough experiments so that both overall and unexpected results may be captured and examined for insights. Harnessing the power of data farming to apply it to our questions is essential to providing support not currently available to decision-makers. This support is critically needed in answering questions inherent in the scenarios we expect to confront in the future as the challenges our forces face become more complex and uncertain. This article was created on the basis of work conducted by Task Group MSG-088 “Data Farming in Support of NATO”, which is being applied in MSG-124 “Developing Actionable Data Farming Decision Support for NATO” of the Science and Technology Organization, North Atlantic Treaty Organization (STO NATO.

  19. Piscine Reovirus: Genomic and Molecular Phylogenetic Analysis from Farmed and Wild Salmonids Collected on the Canada/US Pacific Coast.

    Directory of Open Access Journals (Sweden)

    Ahmed Siah

    Full Text Available Piscine reovirus (PRV is a double stranded non-enveloped RNA virus detected in farmed and wild salmonids. This study examined the phylogenetic relationships among different PRV sequence types present in samples from salmonids in Western Canada and the US, including Alaska (US, British Columbia (Canada and Washington State (US. Tissues testing positive for PRV were partially sequenced for segment S1, producing 71 sequences that grouped into 10 unique sequence types. Sequence analysis revealed no identifiable geographical or temporal variation among the sequence types. Identical sequence types were found in fish sampled in 2001, 2005 and 2014. In addition, PRV positive samples from fish derived from Alaska, British Columbia and Washington State share identical sequence types. Comparative analysis of the phylogenetic tree indicated that Canada/US Pacific Northwest sequences formed a subgroup with some Norwegian sequence types (group II, distinct from other Norwegian and Chilean sequences (groups I, III and IV. Representative PRV positive samples from farmed and wild fish in British Columbia and Washington State were subjected to genome sequencing using next generation sequencing methods. Individual analysis of each of the 10 partial segments indicated that the Canadian and US PRV sequence types clustered separately from available whole genome sequences of some Norwegian and Chilean sequences for all segments except the segment S4. In summary, PRV was genetically homogenous over a large geographic distance (Alaska to Washington State, and the sequence types were relatively stable over a 13 year period.

  20. COMPARATIVE FEASIBILITY ANALYSIS OF MODERN AND TRADITIONAL SYSTEM OF BROILER CHICKEN FARM BUSINESS

    Directory of Open Access Journals (Sweden)

    Firda Rachma Amalia

    2015-05-01

    Full Text Available Feasibility study is a study assessing a project to be undertaken in the future. This research aimed to analyze whether the broiler business by partnership pattern at Prospek Mitra Lestari (PML was feasible to be continued. This research analyzed two models of cage that is traditional cage (open with a scale of 10,000  and modern cage (close with a scale 14.500 and decided whether they were financially feasible or not. In addition, this research aimed to compare between traditional cage and modern cage with estimation for one year (six harvest times and to analyze which cage had better feasibility in order to provide recommendations or suggestions to the breeders or young breeders. Sensitivity analysis was based on current input and output data from breeder in 2012. The feasibility study of chicken broiler farm cage partnership with traditional and modern cage with the next ten year estimation showed that the modern cage was better than the traditional cage. It can be seen from the values of NPV, IRR, PP, B/C, GPM and ROI. Sensitivity analysis shows that traditional cage is more sensitive to price changes than modern cage. It is shown in the traditional cage with the capacity of 10,000 produces smaller values, indicating that is it is sensitive to cost increase by 2% and to selling price decline of chicken by 1,7%. The recommendations from this study include inputs to farmers in selecting a modern cage since it is more feasible than the traditional cage for long periods of time, while the traditional cage is more viable than the modern cage if the farmer wants a shorter investment timeKeywords: Feasibility studies, Broiler, modern and Traditional cageABSTRAKKelayakan merupakan studi  menilai proyek yang akan dikerjakan di masa mendatang. Penelitian ini bertujuan untuk menganalisisis apakah usaha ayam broiler dengan pola kemitraan pada Prospek Mitra Lestari (PML layak untuk diteruskan. Penelitian ini menganalisisis dua model kandang tradisional

  1. LMI-based stability analysis of fuzzy-model-based control systems using approximated polynomial membership functions.

    Science.gov (United States)

    Narimani, Mohammand; Lam, H K; Dilmaghani, R; Wolfe, Charles

    2011-06-01

    Relaxed linear-matrix-inequality-based stability conditions for fuzzy-model-based control systems with imperfect premise matching are proposed. First, the derivative of the Lyapunov function, containing the product terms of the fuzzy model and fuzzy controller membership functions, is derived. Then, in the partitioned operating domain of the membership functions, the relations between the state variables and the mentioned product terms are represented by approximated polynomials in each subregion. Next, the stability conditions containing the information of all subsystems and the approximated polynomials are derived. In addition, the concept of the S-procedure is utilized to release the conservativeness caused by considering the whole operating region for approximated polynomials. It is shown that the well-known stability conditions can be special cases of the proposed stability conditions. Simulation examples are given to illustrate the validity of the proposed approach.

  2. Improved prediction of higher heating value of biomass using an artificial neural network model based on proximate analysis.

    Science.gov (United States)

    Uzun, Harun; Yıldız, Zeynep; Goldfarb, Jillian L; Ceylan, Selim

    2017-06-01

    As biomass becomes more integrated into our energy feedstocks, the ability to predict its combustion enthalpies from routine data such as carbon, ash, and moisture content enables rapid decisions about utilization. The present work constructs a novel artificial neural network model with a 3-3-1 tangent sigmoid architecture to predict biomasses' higher heating values from only their proximate analyses, requiring minimal specificity as compared to models based on elemental composition. The model presented has a considerably higher correlation coefficient (0.963) and lower root mean square (0.375), mean absolute (0.328), and mean bias errors (0.010) than other models presented in the literature which, at least when applied to the present data set, tend to under-predict the combustion enthalpy. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. Statistical key variable analysis and model-based control for improvement performance in a deep reactive ion etching process

    Institute of Scientific and Technical Information of China (English)

    Chen Shan; Pan Tianhong; Li Zhengming; Jang Shi-Shang

    2012-01-01

    This paper proposes to develop a data-driven via's depth estimator of the deep reactive ion etching process based on statistical identification of key variables.Several feature extraction algorithms are presented to reduce the high-dimensional data and effectively undertake the subsequent virtual metrology (VM) model building process.With the available on-line VM model,the model-based controller is hence readily applicable to improve the quality ofa via's depth.Real operational data taken from a industrial manufacturing process are used to verify the effectiveness of the proposed method.The results demonstrate that the proposed method can decrease the MSE from 2.2 × 10-2 to 9 × 10-4 and has great potential in improving the existing DRIE process.

  4. Governing farm animal welfare, governing stockmanship: a sociological analysis of the formulation and on-farm implementation of the EU group sow housing legislation

    OpenAIRE

    2014-01-01

    EU pig welfare legislation required European pig farmers to shift from individual to group housing of pregnant sows by 1 January 2013. This requirement was principally designed to meet the sows’ needs for locomotion and interaction with conspecifics. This paper explored how the legislation affected everyday sow-farmer interaction, which influences farm animal welfare to an important degree. We started by analysing conceptualisations of sow welfare and sow-farmer relations as implicated in the...

  5. Model-based geostatistics

    CERN Document Server

    Diggle, Peter J

    2007-01-01

    Model-based geostatistics refers to the application of general statistical principles of modeling and inference to geostatistical problems. This volume provides a treatment of model-based geostatistics and emphasizes on statistical methods and applications. It also features analyses of datasets from a range of scientific contexts.

  6. An analysis of the relationship between bulk tank milk quality and wash water quality on dairy farms in Ontario, Canada.

    Science.gov (United States)

    Perkins, N R; Kelton, D F; Hand, K J; MacNaughton, G; Berke, O; Leslie, K E

    2009-08-01

    The objective of this study was to identify regions at high risk for bacterial water or milk contamination, as well as risk factors associated with high bacteria counts in raw milk in Ontario, Canada. Between 2003 and 2004, the Dairy Farmers of Ontario (DFO) tested water samples from 5,421 farms in Ontario for the presence of Escherichia coli and coliforms. The water samples were collected as "point-of-use" samples, meaning that each sample was taken from a tap or water hose in the milk house as soon as the water was turned on. Routine, monthly raw milk bacterial counts were determined by DFO using BactoScan (Foss, Hillerød, Denmark). BactoScan data were retrieved from DFO for all of the farms with water test results. The prevalence of samples with E. coli and coliforms in water and elevated bacteria counts in raw milk was 13.6, 53.8, and 2.8%, respectively. The spatial analysis, using a scan statistic, revealed 1 coliform and 3 E. coli clusters of contaminated water, but no clusters of elevated milk bacteria counts in raw milk in southern Ontario. The coliform water contamination cluster was the largest, with a radius of approximately 200 km. Regression analysis indicated that risk factors associated with the occurrence of high levels of bacteria in raw milk were elevated average monthly somatic cell count, increased total milk production, cooler seasons of the year, and the presence of E. coli in wash water.

  7. Chemometric data analysis application to Sparus aurata samples from two offshore farming plants along the Apulian (Italy) coastline.

    Science.gov (United States)

    Miniero, Roberto; Brambilla, Gianfranco; Chiaravalle, Eugenio; Mangiacotti, Michele; Brizzi, Giulio; Ingelido, Anna Maria; Abate, Vittorio; Cascone, Valeria; Ferri, Fabiola; Iacovella, Nicola; di Domenico, Alessandro

    2011-10-01

    The levels of polychlorodibenzo-p-dioxins (PCDDs), polychlorodibenzofurans (PCDFs), dioxin-like polychlorobiphenyls (DL-PCBs), non-dioxin-like polychlorobiphenyls (NDL-PCBs), and polybromodiphenyl ethers (PBDEs) in fish collected from two marine offshore farming plants were determined. Each sample was constituted by specimens of the same size collected at the same time in four different seasons along the farming year. The feeds given were of industrial origin and the plants were positioned in two different sites respectively exposed to different environmental characteristics. A chemometric approach was applied to interpret the subtle differences observed in fish body burdens across the three chemical groups taken into consideration. The approach consisted in a stepwise multivariate process including a hierarchical cluster analysis (CA) and a linear discriminant analysis (DA). The two main clusters determined by CA were subjected to the canonical DA, backward and forward selection procedures to select the best discriminative functions. A clear temporal and spatial discrimination was found among the samples. Across the three chemical groups, the monthly separation seemed to depend on the growth process and the main exposure was due to the feed. In addition, the two plants differed significantly from the environmental point of view and the most important discriminating group of chemicals were the NDL-PCBs. The approach resulted really effective in discriminating the subtle differences and in individuating suggestions to improve the quality of culturing conditions.

  8. Analysis of farm performance in Europe under different climate and management conditions to improve understanding of adaptive capacity

    NARCIS (Netherlands)

    Reidsma, P.; Ewert, F.; Oude Lansink, A.

    2007-01-01

    The aim of this paper is to improve understanding of the adaptive capacity of European agriculture to climate change. Extensive data on farm characteristics of individual farms from the Farm Accountancy Data Network (FADN) have been combined with climatic and socio-economic data to analyze the influ

  9. Predicting 3D pose in partially overlapped X-ray images of knee prostheses using model-based Roentgen stereophotogrammetric analysis (RSA).

    Science.gov (United States)

    Hsu, Chi-Pin; Lin, Shang-Chih; Shih, Kao-Shang; Huang, Chang-Hung; Lee, Chian-Her

    2014-12-01

    After total knee replacement, the model-based Roentgen stereophotogrammetric analysis (RSA) technique has been used to monitor the status of prosthetic wear, misalignment, and even failure. However, the overlap of the prosthetic outlines inevitably increases errors in the estimation of prosthetic poses due to the limited amount of available outlines. In the literature, quite a few studies have investigated the problems induced by the overlapped outlines, and manual adjustment is still the mainstream. This study proposes two methods to automate the image processing of overlapped outlines prior to the pose registration of prosthetic models. The outline-separated method defines the intersected points and segments the overlapped outlines. The feature-recognized method uses the point and line features of the remaining outlines to initiate registration. Overlap percentage is defined as the ratio of overlapped to non-overlapped outlines. The simulated images with five overlapping percentages are used to evaluate the robustness and accuracy of the proposed methods. Compared with non-overlapped images, overlapped images reduce the number of outlines available for model-based RSA calculation. The maximum and root mean square errors for a prosthetic outline are 0.35 and 0.04 mm, respectively. The mean translation and rotation errors are 0.11 mm and 0.18°, respectively. The errors of the model-based RSA results are increased when the overlap percentage is beyond about 9%. In conclusion, both outline-separated and feature-recognized methods can be seamlessly integrated to automate the calculation of rough registration. This can significantly increase the clinical practicability of the model-based RSA technique.

  10. Complex of manganese (II) with curcumin: Spectroscopic characterization, DFT study, model-based analysis and antiradical activity

    Science.gov (United States)

    Gorgannezhad, Lena; Dehghan, Gholamreza; Ebrahimipour, S. Yousef; Naseri, Abdolhossein; Nazhad Dolatabadi, Jafar Ezzati

    2016-04-01

    The complex formation between curcumin (Cur) and Manganese (II) chloride tetrahydrate (MnCl2.4H2O) was studied by UV-Vis and IR spectroscopy. Spectroscopic data suggest that Cur can chelate Manganese cations. A simple multi-wavelength model-based method was used to define stability constant for complexation reaction regardless of the spectra overlapping of components. Also, pure spectra and concentration profiles of all components were extracted using this method. Density functional theory (DFT) was also used to view insight into complexation mechanism. Antioxidant activity of Cur and Cur-Mn(II) complex was evaluated using 1,1-diphenyl-2-picrylhydrazyl (DPPH) scavenging method. Bond dissociation energy (BDE), the highest occupied molecular orbital (HOMO), lowest unoccupied molecular orbital (LUMO) and Molecular electrostatic potential (MEP) of Cur and the complex also were calculated at PW91/TZ2P level of theory using ADF 2009.01 package. The experimental results show that Cur has a higher DPPH radical scavenging activity than Cur-Mn(II). This observation is theoretically justified by means of lower BDE and higher HOMO and LUMO energy values of Cur ligand as compared with those of Cur-Mn(II) complex.

  11. Ant Farm

    OpenAIRE

    2012-01-01

    Publié à l’occasion de l’exposition d’Ant Farm au Frac Centre du 12 au 23 décembre 2007, ce très beau catalogue, qui fait état des dix ans de création du collectif californien, propose un nombre important de documents iconographiques, de notices et de textes concernant leurs différents projets. Fondé en 1968 par Doug Michels et Chip Lord, rejoints par la suite par Curtis Schreier, Hudson Marquez, Douglas Hurr et d’autres encore, le collectif Ant Farm a marqué les esprits par quelques œuvres s...

  12. ANALYSIS OF INCOME INEQUALITY AND POVERTY DYNAMICS AMONG RURAL FARM HOUSEHOLDS IN ABIA STATE, NIGERIA

    Directory of Open Access Journals (Sweden)

    Jude Anayochukwu Mbanasor

    2013-10-01

    Full Text Available The study analyzed income inequality and poverty dynamics among rural farm households in Abia State, Nigeria. Beyond the broad objective, the study sought specifically to estimate the income distribution and determine the poverty line, gap and incidence of the rural farm households. A total of 240 households were selected across the agricultural zones using multistage sampling technique from which data and information were elicited. Data collection was between 2010 and 2011. Analytically, the study employed Gini coefficient in the estimation of income distribution while poverty indicators (Mean household income, headcount ratio and poverty gap index were used to measure poverty line, poverty incidence and gap. Income distribution showed high level of inequality (Gini index = 0.987 with per capita income falling below the operational national minimum wage. The poverty gap and incidence gave a scary picture of worsening poverty situation, judging from the poverty indicators (head count index = 0.567; poverty gap = 0.568. To reverse the trend, it is important that concerted efforts are made by way of policy direction to ensure that the rural economy which is largely agrarian is improved. This can be achieved by adopting input subsidy, private sector driven market access policy, labour intensive techniques in execution of public projects among others.

  13. Statistical analysis and dimensioning of a wind farm energy storage system

    Directory of Open Access Journals (Sweden)

    Waśkowicz Bartosz

    2017-06-01

    Full Text Available The growth in renewable power generation and more strict local regulations regarding power quality indices will make it necessary to use energy storage systems with renewable power plants in the near future. The capacity of storage systems can be determined using different methods most of which can be divided into either deterministic or stochastic. Deterministic methods are often complicated with numerous parameters and complex models for long term prediction often incorporating meteorological data. Stochastic methods use statistics for ESS (Energy Storage System sizing, which is somewhat intuitive for dealing with the random element of wind speed variation. The proposed method in this paper performs stabilization of output power at one minute intervals to reduce the negative influence of the wind farm on the power grid in order to meet local regulations. This paper shows the process of sizing the ESS for two selected wind farms, based on their levels of variation in generated power and also, for each, how the negative influences on the power grid in the form of voltage variation and a shortterm flicker factor are decreased.

  14. Analysis of the Effect of a Marine Energy Farm to Protect a Biosphere Reserve

    Directory of Open Access Journals (Sweden)

    Rusu Eugen

    2016-01-01

    Full Text Available Sacalin Peninsula in the Black Sea is a new land located south of the Saint George branch of the Danube. Since 1938 this area became a biosphere reserve since many rare species of animals and plants are to be found there. The generation of this new peninsula is due to the sedimentary process induced by the Danube River outflow and it was started more than 150 years ago. In the winter of 2013 this environment was seriously affected by some very strong storms putting in real danger this ecosystem. From this perspective, the objective of the present work is to evaluate the protection that might be offered to this area by a marine energy farm that would be deployed in front of the peninsula. In order to assess the coastal protection offered by the proposed solution, simulations with the SWAN (Simulating Waves Nearshore wave model have been performed for the most relevant storm patterns. The results show that a marine energy farm can provide a real sheltering effect to the ecological reserve. Such approach seems to be also economically viable since this coastal environment represents a real hot spot in the Black Sea from the point of view of marine energy resources.

  15. Analysis of user model based on LDA and CTR%基于LDA和CTR的用户模型分析

    Institute of Scientific and Technical Information of China (English)

    吴飞飞; 姬东鸿; 吕超镇

    2016-01-01

    Personal service is a hot topic. But how to construct an integrated user model remains a challenge for us. This paper makes use of the topic model LDA to infer the user model. In order to improve precision, CTR is put into use for restrict of feature vector. With a few manual factors, the machine generates a training topic model. Based on this model, 100 users’micro-log messages regarded as test data will be applied for evaluating the quality of recommendation. The results show that the recommendation of celebrity performs better than the recommendation of news. Generally speaking, personal service is satisfying.%个性化服务一直是研究的热点,但是如何构建完整的用户模型是一个颇有挑战性的问题。将基于主体模型LDA对用户模型进行预测,在用户和推荐项目的特征向量上采用CTR进行约束,使结果更为准确。在只需要少量人为因素下,由机器来训练最初的主题模型,在训练模型的基础上,通过选取100名用户的微博作为测试,用等级打分制来对推荐的项目进行打分,最终的结果显示,在新闻推荐上,微观满意度达到82.5%;而在名人推荐上,微观满意度达到了84.3%,综合以上,推荐服务的满意度还是令人满意的。

  16. Risk Analysis on Organochlorine Pesticides Residue in Potato and Carrot from Conventional and Organic Farms in Citarum Watershed Area, West Java Province, Indonesia

    Directory of Open Access Journals (Sweden)

    Suphia Rahmawati

    2017-03-01

    Full Text Available Six samples of carrot and potatoes were collected from conventional and organic farms. Organochlorine pesticides (OCPs residue was analyzed using liquid-liquid extraction. The concentration of OCPs residue together with the consumption pattern were used to calculate the potential risk. Estimated Daily Intake (EDI of OCPs residue in carrots and potatoes both from conventional and organic farms were below the standard given in SNI 7313:2008 and the Maximum Residue Limit (MRLs from USEPA . Hazard quotient (HQ and Hazard Index (HI as effect analysis were below the unity, thus there may not be a concern for non-carcinogenic effect. Risk analysis on cancer effects indicated that potatoes samples were above the recommended risk by EPA (10-6. In addition, risk of potatoes samples from organic samples was higher compare to that of the conventional farm. Cancer risk analysis of carrot samples were found below the recommended risk by EPA. Cancer risk effect of carrot samples from conventional farm was slightly higher compare to that of the organic farm.

  17. Value-chain analysis of freshwater apple snail (Pila globosa used for on-farm feeds in the freshwater prawn farming sector in Bangladesh

    Directory of Open Access Journals (Sweden)

    S.A.A. Nahid

    2013-12-01

    Full Text Available Growth of the freshwater prawn (Macrobrachium rosenbergii sector in Bangladesh since 1970s has been supported by natural availability of freshwater apple snail (Pila globosa, used for on-farm prawn feeds. The present study identified the current configuration of the value-chain benefits and constraints of freshwater apple snail in south-western Bangladesh in August 2011, based upon Rapid Market Appraisal (RMA approach. The site of snail collection was Chanda Beel in Gopalganj district, while trading, processing and final consumption was represented by Rayer Mahal Bazar in Khulna district. There were seven different nodes recognized throughout the value chain. Snail marketing was identified as a seasonal business and took place during June to November each year. Between 1995 and 2011 the price of whole snail, meat and shell has increased by 800%, 325% and 315%, respectively. The abundance of snail had been reduced and its demand has increased due to the expansion of the prawn farming industry. Prawn farmers preferred snail meat due to its’ low cost (US$ 0.21 kg-1 as a source of protein compared to commercial prawn feed (US$ 0.41 kg-1. Snail harvesting and processing were considered as additional livelihood options for the poor, where 60% of the labour involved in snail harvesting were women, and 95% the de-shelling workforce. Induced breeding in captivity and sustainable management in nature as well as development of commercial production of apple snails might reduce the pressure on ecosystems and positively contributed to the continued expansion of freshwater prawn farming in Bangladesh.

  18. National Farm Medicine Center

    Science.gov (United States)

    Research Areas Applied Sciences Biomedical Informatics Clinical Research Epidemiology Farm Medicine Human Genetics Oral-Systemic Health Clinical ... Consulting Agritourism Farm MAPPER Lyme Disease ROPS Rebate Zika Virus National Farm Medicine Center The National Farm ...

  19. An Empirical Analysis of Farm Adaptation Response to Water Security Using a Natural Policy Experiment

    Science.gov (United States)

    Brady, M.

    2014-12-01

    The capacity of farm-level adaptation to mitigate the impacts of climate change in arid regions dominated by irrigated agriculture fed by snowpack is a critical challenge for developing accurate integrated engineering-economic modeling tools. Economic optimization models provide a valuable benchmark for the theoretical limit of adaptation given a set of clear objectives, conditions, and constraints. However, a major limitation to specifying tractable and accurate models is the large number of potential adaptation strategies that can be taken. There is a need for more empirical research that reveals preferred adaptation strategies in a way that identifies causal relationships. This research seeks to add to the empirical literature on adaptation by exploiting what in the econometric literature is called a "natural experiment" where a policy has isapplied to one group but not another in a way that is random relative to the variables of interest so as to reduce problems of bias in coefficient estimates caused by unobserved heterogeneity. The region of study is the Yakima Basin in Washington State which is a highly diverse region in terms of crop and irrigation technology. This creates significant complication for modeling adaptation since farmers have a wide array of choices including changing cropping patterns and irrigation technologies. Other strategies including water trading and deficit irrigation. Two irrigation districts in the Yakima Basin, Roza and Sunnyside, are adjacent to each other and are nearly identical in growing conditions. The difference is that Roza is severely curtailed during droughts while Sunnyside is not. With the availability of detailed field level data on cropping patterns, irrigation technologies, and land ownership this presents an opportunity to identify the effect of water security risk on farm-level decision making. Preliminary results show that after controlling for other features, a field in Roza is 5% more likely to have an efficient

  20. Amaranth farming

    DEFF Research Database (Denmark)

    Bjarklev, Araceli; Kjær, Tyge; Kjærgård, Bente

    2008-01-01

    natural resources that small-scale farmers have to combat the abovementioned problems. The study identified several local and regional barriers for increasing the level of farming, production, processing and consumption. A striking and paradoxical limitation is the monopolization practices developed...... by some of the associations in relation to knowledge and technology transfer, seeds distribution and contact to potential national and foreign buyers....

  1. Molecular farming

    NARCIS (Netherlands)

    Merck, K.B.; Vereijken, J.M.

    2006-01-01

    Molecular Farming is a new and emerging technology that promises relatively cheap and flexible production of large quantities of pharmaceuticals in genetically modified plants. Many stakeholders are involved in the production of pharmaceuticals in plants, which complicates the discussion on the poss

  2. The Future of the Global Environment: A Model-based Analysis Supporting UNEP's First Global Environment Outlook

    NARCIS (Netherlands)

    Bakkes JA; Woerden JW van; Alcamo J; Berk MM; Bol P; Born GJ van den; Brink BJE ten; Hettelingh JP; Langeweg F; Niessen LW; Swart RJ; United Nations Environment; MNV

    1997-01-01

    This report documents the scenario analysis in UNEP's first Global Environment Outlook, published at the same time as the scenario analysis. This Outlook provides a pilot assessment of developments in the environment, both global and regional, between now and 2015, with a further projection to

  3. Microbiological Analysis, Detection of Adulterants and Contaminants in Raw Milk at Farms in Central Romania

    Directory of Open Access Journals (Sweden)

    Gheorghe Ștețca

    2015-11-01

    Full Text Available Raw milk hygiene strongly depends on the compliance with basic principles of food safety, starting with staff responsibility, farmer, products traceability, sanitation of the entire flow, from farm to consumer. There were studied 800 samples of raw cow milk purchased from the collection centers. The parameters considered here were number of germ cells, somatic cell count, added water and antibiotics residues. Number of germs cells recorded values up to 70 times out of the regulation limit -100000 TNG/mL. There were 48 samples exceeding the value of 400000 SCC/mL, and only 3 of them had improper hygienic conditions due to the value of TNG higher than 100000/mL. No antibiotics or added water was registered.

  4. Cover crops effect on farm benefits and nitrate leaching: linking economic and environmental analysis

    Science.gov (United States)

    Gabriel, José Luis; Vanclooster, Marnik; Garrido, Alberto; Quemada, Miguel

    2013-04-01

    Introducing cover crops interspersed with intensively fertilized crops in rotation has the potential to reduce nitrate leaching. However, despite the evident environmental services provided and the range of agronomic benefits documented in the literature, farmers' adoption of the technique is still limited because growing CC could lead to extra costs for the farm in three different forms: direct, indirect, and opportunity costs. Environmental studies are complex, and evaluating the indicators that are representative of the environmental impact of an agricultural system is a complicated task that is conducted by specialized groups and methodologies. Multidisciplinary studies may help to develop reliable approaches that would contribute to choosing the best agricultural strategies based on linking economic and environmental benefits. This study evaluates barley (Hordeum vulgare L., cv. Vanessa), vetch (Vicia villosa L., cv. Vereda) and rapeseed (Brassica napus L., cv. Licapo) as cover crops between maize, leaving the residue in the ground or selling it for animal feeding, and compares the economic and environmental results with respect to a typical maize-fallow rotation. Nitrate leaching for different weather conditions was calculated using the mechanistic-deterministic WAVE model, using the Richards equation parameterised with a conceptual model for the soil hydraulic properties for describing the water flow in the vadose zone, combined with field observed data. The economic impact was evaluated through stochastic (Monte-Carlo) simulation models of farms' profits using probability distribution functions of maize yield and cover crop biomass developed fitted with data collected from various field trials (during more than 5 years) and probability distribution functions of maize and different cover crop forage prices fitted from statistical sources. Stochastic dominance relationships are obtained to rank the most profitable strategies from a farm financial perspective

  5. Cradle-to-farm gate analysis of milk carbon footprint: a descriptive review

    Directory of Open Access Journals (Sweden)

    Giacomo Pirlo

    2012-01-01

    Full Text Available Twenty-four life cycle assessment studies which estimated the carbon footprint of milk production in countries with modern dairy farming were examined. It proved difficult to compare the studies because of the strong discrepancies between them. The aim of this review was to examine the characteristics of LCA studies on milk production in order to understand how the variability of results can be explained. The main reason is the different methodologies adopted. However, other variables were considered: production system, stocking rate, milk productivity, mitigation strategies. Life Cycle Assessment is a promising tool for benchmarking carbon footprint among different countries or production systems. This approach could also be used as a mitigation indicator in the enforcement of political decision. Two major factors are needed for a practical application: i a widely accepted methodology and ii direct measurements of greenhouse gases in specific contests.

  6. A social-ecological analysis of ecosystem services in two different farming systems.

    Science.gov (United States)

    Andersson, Erik; Nykvist, Björn; Malinga, Rebecka; Jaramillo, Fernando; Lindborg, Regina

    2015-01-01

    In this exploratory study we use existing in situ qualitative and quantitative data on biophysical and social indicators to compare two contrasting Swedish farming systems (low intensity and high intensity) with regard to ecosystem service supply and demand of a broad suite of services. We show that the value (demand) placed on a service is not necessarily connected to the quantity (supply) of the service, most clearly shown for the services recreation, biodiversity, esthetic experience, identity, and cultural heritage. To better capture this complexity we argue for the need to develop portfolios of indicators for different ecosystem services and to further investigate the different aspects of supply and demand. The study indicates that available data are often ill-suited to answer questions about local delivery of services. If ecosystem services are to be included in policy, planning, and management, census data need to be formatted and scaled appropriately.

  7. Farm size and growth in field crop and dairy farms in France, Hungary and Slovenia

    Directory of Open Access Journals (Sweden)

    Z. Bakucs

    2013-09-01

    Full Text Available The aim of this article is to investigate the relationship between size and farm growth. The existing theories of the association between size and farm growth give mixed results by countries and over time. This paper pursues a twofold objective: on one hand, to test the validity of Gibrat’s Law for French, Hungarian and Slovenian specialized dairy and crop farms during the pre- and post-accession period to the European Union membership. Dairy and crops farms are prevailing in the farming structure of these countries. Using Farm Accountancy Data Network datasets makes it necessary to avoid biases due to heterogeneous structures across the farming systems. Thus we use quantile regressions to control for farm size related heterogeneity in the samples. On the other hand, the main novelty of this paper is the comparative analysis of the relationship between farm size and farm growth between transition Hungarian and Slovenian and non-transition French farming sectors, characterized by rather different farm structures. The results reject the validity of Gibrat’s Law for crop farms in Hungary and to a lesser extent in France, and for French and Slovenian dairy farms. We provide evidence that smaller farms grew faster than larger ones over the studied period 2001-2007 for France, 2001-2008 for Hungary, and 2004-2008 for Slovenia. Conversely, the results for Slovenia suggest that the rate of growth of crop farms in terms of its land is independent from its size.

  8. Ecological analysis of a typical farm-scale biogas plant in China

    Science.gov (United States)

    Duan, Na; Lin, Cong; Wang, Pingzhi; Meng, Jing; Chen, Hui; Li, Xue

    2014-09-01

    The aim of this work was to present the common anaerobic digestion technologies in a typical farm-scale biogas plant in China. The comprehensive benefits of most biogas plants in China have not been fully assessed in past decades due to the limited information of the anaerobic digestion processes in biogas plants. This paper analyzed four key aspects (i.e., operational performance, nonrenewable energy (NE) savings, CO2 emission reduction (CER) and economic benefits (EBs)) of a typical farm-scale biogas plant, where beef cattle manure was used as feedstock. Owing to the monitoring system, stable operation was achieved with a hydraulic retention time of 18-22 days and a production of 876,000 m3 of biogas and 37,960 t of digestate fertilizer annually. This could substantially substitute for the nonrenewable energy and chemical fertilizer. The total amount of NE savings and CER derived from biogas and digestate fertilizer was 2.10×107 MJ (equivalent to 749.7 tce) and 9.71×105 kg, respectively. The EBs of the biogas plant was 6.84×105 CNY·yr-1 with an outputs-to-inputs ratio of 2.37. As a result, the monitoring system was proved to contribute significantly to the sound management and quantitative assessment of the biogas plant. Biogas plants could produce biogas which could be used to substitute fossil fuels and reduce the emissions of greenhouse gases, and digestate fertilizer is also an important bio-product.

  9. A Meta Analysis on Farm-Level Costs and Benefits of GM Crops

    Directory of Open Access Journals (Sweden)

    Nataliya Stupak

    2011-05-01

    Full Text Available This paper reviews the evidence on the socio-economic impacts of GM crops and analyzes whether there are patterns across space and time. To this end, we investigate the effect of GM crops on farm-level costs and benefits using global data from more than one decade of field trials and surveys. More specifically, we analyze the effects of GM-crops on crop yields, seed costs, pesticide costs, and management and labor costs and finally gross margins. Based on collected data from studies on Bt cotton and Bt maize, statistical analyses are conducted to estimate the effect of GM crop adoption on these parameters. Our results show that, compared to conventional crops, GM crops can lead to yield increases and can lead to reductions in the costs of pesticide application, whereas seed costs are usually substantially higher. Thus, the results presented here do support the contention that the adoption of GM crops leads on average to a higher economic performance, which is also underlined by the high adoption rates for GM crops in a number of countries. However, the kind and magnitude of benefits from GM crops are very heterogeneous between countries and regions, particularly due to differences in pest pressure and pest management practices. Countries with poor pest management practices benefited most from a reduction in yield losses, whereas other countries benefited from cost reductions. However, our study also reveals limitations for meta-analyses on farm-level costs and benefits of GM crops. In particular, published data are skewed towards some countries and the employed individual studies rely on different assumptions, purposes and methodologies (e.g., surveys and field trials. Furthermore, a summary of several (often short-term individual studies may not necessarily capture long-term effects of GM crop adoption.

  10. Control and dynamic analysis of a parallel-connected single active bridge DC-DC converter for DC-grid wind farm application

    DEFF Research Database (Denmark)

    Park, Kiwoo; Chen, Zhe

    2015-01-01

    This study presents a control strategy and its dynamic analysis of a high-power dc-dc converter, which is constructed with the parallel-connected single active bridge (SAB) dc-dc converters for dc-grid wind farm applications. The structural and operational characteristics of the SAB dc-dc converter...... have several advantages for high-power applications, and the modular concept of the parallel-connected converter is highly beneficial especially for offshore wind farm applications in terms of maintenance cost and fault tolerance. To justify the feasibility of the parallel-connected SAB dc-dc converter...... for dc-grid wind farm applications, an input voltage control method based on the PI control will be introduced and the dynamics of the overall system will be analysed. The analysis results are to be verified by means of simulations and experiments....

  11. Using the politicized institutional analysis and development framework to analyze (adaptive comanagement: farming and water resources in England

    Directory of Open Access Journals (Sweden)

    Luke Whaley

    2015-09-01

    Full Text Available The challenge of managing water resources in England is becoming increasingly complex and uncertain, a situation reflected in many countries around the world. Cooperative and participatory forms of governance are now seen as one way of addressing this challenge. We investigated this assertion by focusing on five farmer irrigator groups in the low-lying east of England. The groups' relationship with water resources management was interpreted through the lens of comanagement, which over the past decade has increasingly merged with the field of adaptive management and related concepts that derive from resilience thinking and complex adaptive systems theory. Working within a critical realist paradigm, our analysis was guided by the politicized institutional analysis and development (IAD framework. Two previous studies concerned with the broader context surrounding farming and water governance in lowland England revealed low levels of trust between farmers, and between farmers and water managers, as well as a power dynamic that stands in the way of farmer cooperation and participation. Within this context, our findings pointed to a number of mechanisms and structural conditions that appear to generate or facilitate comanagement. Of these, institution building through the specific group strategy of adopting a company structure and the "stationarity" of the resource group members extract from were seen to be the most crucial. These and other key findings were used to inform a discussion of farming and water resources management in England going forward. In doing so, we also reflected on the relationship between comanagement and market-based approaches to managing water resources. Beyond this, the research serves as a practical demonstration of how the politicized IAD framework can be used to analyze potential (adaptive comanagement situations and the related benefits. The analysis complements a previous submission to this journal, in which we discussed

  12. Using the Sustainability Monitoring and Assessment Routine (SMART for the Systematic Analysis of Trade-Offs and Synergies between Sustainability Dimensions and Themes at Farm Level

    Directory of Open Access Journals (Sweden)

    Christian Schader

    2016-03-01

    Full Text Available When trying to optimize the sustainability performance of farms and farming systems, a consideration of trade-offs and synergies between different themes and dimensions is required. The aim of this paper is to perform a systematic analysis of trade-offs and synergies across all dimensions and themes. To achieve this aim we used the Sustainability Monitoring and Assessment Routine (SMART-Farm Tool which operationalizes the Sustainability Assessment of Food and Agriculture Systems (SAFA Guidelines by defining science-based indicator sets and assessment procedures. It identifies the degree of goal achievement with respect to the 58 themes defined in the SAFA Guidelines using an impact matrix that defines 327 indicators and 1769 relations between sustainability themes and indicators. We illustrate how the SMART-Farm Tool can be successfully applied to assess the sustainability performance of farms of different types and in different geographic regions. Our analysis revealed important synergies between themes within a sustainability dimension and across dimensions. We found major trade-offs within the environmental dimension and between the environmental and economic dimension. The trade-offs within the environmental dimension were even larger than the trade-offs with other dimensions. The study also underlines the importance of the governance dimension with regard to achieving a good level of performance in the other dimensions.

  13. The farm household model based on Lexicographic utilities

    African Journals Online (AJOL)

    Yigezu A. Yigezu

    2012-08-05

    Aug 5, 2012 ... Post Doctoral Fellow, Social, Economic and Policy Research Program, International. Center for .... When λ takes a value of 1, it means the marginal cost of own production is equal to ..... American Economic Review. 1993; 83: ...

  14. Do farm audits improve milk quality?

    NARCIS (Netherlands)

    Flores-Miyamoto, A.; Reij, M.W.; Velthuis, A.G.J.

    2014-01-01

    Milk quality is assessed using bulk milk analysis and by farm audits in the Netherlands. However, the extent of the effect that dairy farm audits have on milk quality is unknown. Data from over 13,000 audits performed on 12,855 dairy farms from February 2006 to April 2008 were merged with laboratory

  15. A Hybrid Short-Term Power Load Forecasting Model Based on the Singular Spectrum Analysis and Autoregressive Model

    Directory of Open Access Journals (Sweden)

    Hongze Li

    2014-01-01

    Full Text Available Short-term power load forecasting is one of the most important issues in the economic and reliable operation of electricity power system. Taking the characteristics of randomness, tendency, and periodicity of short-term power load into account, a new method (SSA-AR model which combines the univariate singular spectrum analysis and autoregressive model is proposed. Firstly, the singular spectrum analysis (SSA is employed to decompose and reconstruct the original power load series. Secondly, the autoregressive (AR model is used to forecast based on the reconstructed power load series. The employed data is the hourly power load series of the Mid-Atlantic region in PJM electricity market. Empirical analysis result shows that, compared with the single autoregressive model (AR, SSA-based linear recurrent method (SSA-LRF, and BPNN (backpropagation neural network model, the proposed SSA-AR method has a better performance in terms of short-term power load forecasting.

  16. Study on performance analysis of Holstein Fresien cattle under intensive management at government dairy farm, Pishin, Balochistan

    Directory of Open Access Journals (Sweden)

    Yousaf H. Barozai

    2011-06-01

    Full Text Available The study was carried out to analyze the productive and reproductive performance ofHolstein Friesian cattle under intensive management at Government Dairy Farm, Pishin (Balochistanexploring the ten years performance records from 1997-2007. Parameters were productive traits(birth weight, lactation length, lactation milk yield, reproductive traits (age at first conception, age atfirst calving, service period, dry period, calving interval and effect of calving season on (milk yield,calving interval, birth weight, dry period on the Holstein Fresein cattle. Analysis of data revealedsignificant difference in all the productive traits (P0.05 in higher birth weight of calves, dry period,calving interval and milk yield of cows, respectively.

  17. Comparative Analysis and Cultivation of New Agricultural Business Entities Based on Comparison of Family Farms and Professional Cooperatives

    Institute of Scientific and Technical Information of China (English)

    Fang; YANG; Xingxi; LIU; Yingliang; ZHANG

    2014-01-01

    Cultivating new bussiness entities is the key to speeding up improving new agricultural production and operating system.This study discussed two representative entities under the agricultural production and operating system based on household contract management,namely,family farms and cooperatives.It introduced current development status of these two entities in Chongqing region,and discussed prominent problems of understanding,management,fund,personnel,technology,information,and system in the development process.In line with common problems such as single production structure and short supply of agricultural insurance,and different problems like organizational degree,it made comparative analysis.Finally,it is concluded that different institutional arrangement and pertinent support policy according to different development characteristics.

  18. 基于聚类分析的元搜索引擎模型%Research on Meta-Search Engine Model based on Cluster Analysis

    Institute of Scientific and Technical Information of China (English)

    余肖生; 司新霞

    2011-01-01

    从聚类分析的概念着手,建立基于聚类分析的元搜索引擎模型,通过实例(Clusty.com)说明此模型是可行的,且对元搜索引擎的结果进行聚类有助于用户更准确地找到自己所需要的信息,节省用户的时间.%In this paper, the concept of cluster analysis was discussed. Meta-search engine model based on cluster analysis was established. And the model proved to be feasible by the examples ( Clusty. Com). Clustering on the results from meta search engine would help users to find more accurate information and which can save the user time.

  19. Automated quantification and sizing of unbranched filamentous cyanobacteria by model-based object-oriented image analysis.

    Science.gov (United States)

    Zeder, Michael; Van den Wyngaert, Silke; Köster, Oliver; Felder, Kathrin M; Pernthaler, Jakob

    2010-03-01

    Quantification and sizing of filamentous cyanobacteria in environmental samples or cultures are time-consuming and are often performed by using manual or semiautomated microscopic analysis. Automation of conventional image analysis is difficult because filaments may exhibit great variations in length and patchy autofluorescence. Moreover, individual filaments frequently cross each other in microscopic preparations, as deduced by modeling. This paper describes a novel approach based on object-oriented image analysis to simultaneously determine (i) filament number, (ii) individual filament lengths, and (iii) the cumulative filament length of unbranched cyanobacterial morphotypes in fluorescent microscope images in a fully automated high-throughput manner. Special emphasis was placed on correct detection of overlapping objects by image analysis and on appropriate coverage of filament length distribution by using large composite images. The method was validated with a data set for Planktothrix rubescens from field samples and was compared with manual filament tracing, the line intercept method, and the Utermöhl counting approach. The computer program described allows batch processing of large images from any appropriate source and annotation of detected filaments. It requires no user interaction, is available free, and thus might be a useful tool for basic research and drinking water quality control.

  20. A model-based cost-effectiveness analysis of osteoporosis screening and treatment strategy for postmenopausal Japanese women.

    Science.gov (United States)

    Yoshimura, M; Moriwaki, K; Noto, S; Takiguchi, T

    2017-02-01

    Although an osteoporosis screening program has been implemented as a health promotion project in Japan, its cost-effectiveness has yet to be elucidated fully. We performed a cost-effectiveness analysis and found that osteoporosis screening and treatment would be cost-effective for Japanese women over 60 years.

  1. An integral analysis for second generation bioethanol production via a dynamic model-based simulation approach: stochastic nonlinear optimisation

    DEFF Research Database (Denmark)

    Morales Rodriguez, Ricardo; Meyer, Anne S.; Gernaey, Krist

    -effectiveness. The objective of this study is to perform an integral analysis for bioethanol production from lignocellulosic feedstock using a rigorous dynamic modelling approach for the whole process. The bioethanol production includes different sections such as, pre-treatment of the substrate, enzymatic hydrolysis...

  2. Amaranth farming

    DEFF Research Database (Denmark)

    Bjarklev, Araceli; Kjær, Tyge; Kjærgård, Bente

    2008-01-01

    Though amaranth has been studied intensively for its exceptional nutritional properties, little has been reported about its capacity for fighting poverty, securing food supplies, turning migrations, or its impact on the environment and the prospect for mprovement of living conditions of those...... natural resources that small-scale farmers have to combat the abovementioned problems. The study identified several local and regional barriers for increasing the level of farming, production, processing and consumption. A striking and paradoxical limitation is the monopolization practices developed...

  3. Analysis of energy and greenhouse gas balance as indexes for environmental assessment of wheat and maize farming: a case study

    Directory of Open Access Journals (Sweden)

    Móslem SAMI

    2015-12-01

    Full Text Available In this study, the net balance of greenhouse gas (GHG emission and energy of wheat and maize production systems in two farms in Khuzestan province of Iran was assessed. The results showed that totally wheat farming is more efficient than maize farming in terms of energy and CO2-eq indexes. The total energy requirement for maize and wheat farming was 92560.24 MJ ha-1 and 39624.15 MJ ha-1, which caused the emission of 20191.47 and 7541.04 kg CO2-equivalent per hectare in maize and wheat farms respectively. Electricity, fertilizers and fuel were the most important pollutants of environment in terms of energy and gas emission in both farms. Theses inputs consumed 55.52, 22.62 and 6.44 % of total energy of maize and 47.32, 21.19 and 9.01 % of total energy of wheat farm and were responsible for the 88.60, 8.79 and 2.03 % of CO2-equivalent in maize and 86.54, 9.54 and 3.24 % of CO2-equivalent in wheat farms respectively. The results of this study also showed that the enhancement of 60.74 and 27.02 % in energy ratio and 46.06 and 27.87 % in CO2-eq index in maize and wheat farming can be expected using simple improving scenarios.

  4. A Model-Based Approach for Joint Analysis of Pain Intensity and Opioid Consumption in Postoperative Pain

    DEFF Research Database (Denmark)

    Juul, Rasmus V; Knøsgaard, Katrine R; Olesen, Anne E

    2016-01-01

    Joint analysis of pain intensity and opioid consumption is encouraged in trials of postoperative pain. However, previous approaches have not appropriately addressed the complexity of their interrelation in time. In this study, we applied a non-linear mixed effects model to simultaneously study pain...... intensity and opioid consumption in a 4-h postoperative period for 44 patients undergoing percutaneous kidney stone surgery. Analysis was based on 748 Numerical Rating Scale (NRS) scores of pain intensity and 51 observed morphine and oxycodone dosing events. A joint model was developed to describe...... the recurrent pattern of four key phases determining the development of pain intensity and opioid consumption in time; (A) Distribution of pain intensity scores which followed a truncated Poisson distribution with time-dependent mean score ranging from 0.93 to 2.45; (B) Probability of transition to threshold...

  5. Development of a Framework for Model-Based Analysis, Uncertainty Quantification, and Robust Control Design of Nonlinear Smart Composite Systems

    Science.gov (United States)

    2015-06-04

    Uncertainty for a Macro-Fiber Composite Model,” IFAC Workshop on Control of Systems Governed through Partial Differential Equations (CPDE), Paris, France...Analysis of Partial Differential Equations , San Diego, CA, November 16, 2011. • Invited Presentation: 50th IEEE Conference on Decision and Control...Workshop on Control of Systems Governed through Partial Differential Equations (CPDE), Paris, France, 2013. [9] Z. Hu, R.C. Smith, N. Burch, M. Hays and

  6. A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data

    Directory of Open Access Journals (Sweden)

    Cook Larry T

    2008-05-01

    Full Text Available Abstract Background Myocardial motion is an important observable for the assessment of heart condition. Accurate estimates of ventricular (LV wall motion are required for quantifying myocardial deformation and assessing local tissue function and viability. Harmonic Phase (HARP analysis was developed for measuring regional LV motion using tagged magnetic resonance imaging (tMRI data. With current computer-aided postprocessing tools including HARP analysis, large motions experienced by myocardial tissue are, however, often intractable to measure. This paper addresses this issue and provides a solution to make such measurements possible. Methods To improve the estimation performance of large cardiac motions while analyzing tMRI data sets, we propose a two-step solution. The first step involves constructing a model to describe average systolic motion of the LV wall within a subject group. The second step involves time-reversal of the model applied as a spatial coordinate transformation to digitally relax the contracted LV wall in the experimental data of a single subject to the beginning of systole. Cardiac tMRI scans were performed on four healthy rats and used for developing the forward LV model. Algorithms were implemented for preprocessing the tMRI data, optimizing the model parameters and performing the HARP analysis. Slices from the midventricular level were then analyzed for all systolic phases. Results The time-reversal operation derived from the LV model accounted for the bulk portion of the myocardial motion, which was the average motion experienced within the overall subject population. In analyzing the individual tMRI data sets, removing this average with the time-reversal operation left small magnitude residual motion unique to the case. This remaining residual portion of the motion was estimated robustly using the HARP analysis. Conclusion Utilizing a combination of the forward LV model and its time reversal improves the performance of

  7. Model-Based Design, Automated Code Generation and Safety Analysis of ARINC653 Architectures using the AADL

    OpenAIRE

    Hugues, Jérôme; Delange, Julien

    2016-01-01

    Safety-Critical Systems for the aerospace domain are becoming extremely software-reliant, with tight coupling with hardware and network elements. At the same time, these have to demonstrate conformance with stringent standards so as to ensure a sufficient level of safety. In this talk, we report on recent advances in the SAE Architecture Analysis and Design Language -- AADL -- standard and supporting tools for the modeling of avionics system and software. SAE AS2-C committee pushed forward va...

  8. Model-Based Systems Engineering With the Architecture Analysis and Design Language (AADL) Applied to NASA Mission Operations

    Science.gov (United States)

    Munoz Fernandez, Michela Miche

    2014-01-01

    The potential of Model Model Systems Engineering (MBSE) using the Architecture Analysis and Design Language (AADL) applied to space systems will be described. AADL modeling is applicable to real-time embedded systems- the types of systems NASA builds. A case study with the Juno mission to Jupiter showcases how this work would enable future missions to benefit from using these models throughout their life cycle from design to flight operations.

  9. Demonstration of a modelling-based multi-criteria decision analysis procedure for prioritisation of occupational risks from manufactured nanomaterials.

    Science.gov (United States)

    Hristozov, Danail; Zabeo, Alex; Alstrup Jensen, Keld; Gottardo, Stefania; Isigonis, Panagiotis; Maccalman, Laura; Critto, Andrea; Marcomini, Antonio

    2016-11-01

    Several tools to facilitate the risk assessment and management of manufactured nanomaterials (MN) have been developed. Most of them require input data on physicochemical properties, toxicity and scenario-specific exposure information. However, such data are yet not readily available, and tools that can handle data gaps in a structured way to ensure transparent risk analysis for industrial and regulatory decision making are needed. This paper proposes such a quantitative risk prioritisation tool, based on a multi-criteria decision analysis algorithm, which combines advanced exposure and dose-response modelling to calculate margins of exposure (MoE) for a number of MN in order to rank their occupational risks. We demonstrated the tool in a number of workplace exposure scenarios (ES) involving the production and handling of nanoscale titanium dioxide, zinc oxide (ZnO), silver and multi-walled carbon nanotubes. The results of this application demonstrated that bag/bin filling, manual un/loading and dumping of large amounts of dry powders led to high emissions, which resulted in high risk associated with these ES. The ZnO MN revealed considerable hazard potential in vivo, which significantly influenced the risk prioritisation results. In order to study how variations in the input data affect our results, we performed probabilistic Monte Carlo sensitivity/uncertainty analysis, which demonstrated that the performance of the proposed model is stable against changes in the exposure and hazard input variables.

  10. Phylogenetic analysis of antimicrobial lactic acid bacteria from farmed seabass Dicentrarchus labrax.

    Science.gov (United States)

    Bourouni, Ouissal Chahad; El Bour, Monia; Calo-Mata, Pilar; Mraouna, Radhia; Abedellatif, Boudabous; Barros-Velàzquez, Jorge

    2012-04-01

    The use of lactic acid bacteria (LAB) in the prevention or reduction of fish diseases is receiving increasing attention. In the present study, 47 LAB strains were isolated from farmed seabass ( Dicentrarchus labrax ) and were phenotypically and phylogenetically analysed by 16S rDNA and randomly amplified polymorphic DNA - polymerase chain reaction (RAPD-PCR). Their antimicrobial effect was tested in vitro against a wide variety of pathogenic and spoilage bacteria. Most of the strains isolated were enterococci belonging to the following species: Enterococcus faecium (59%), Enterococcus faecalis (21%), Enterococcus sanguinicola (4 strains), Enterococcus mundtii (1 strain), Enterococcus pseudoavium (1 strain), and Lactococcus lactis (1 strain). An Aerococcus viridans strain was also isolated. The survey of their antimicrobial susceptibility showed that all isolates were sensitive to vancomycin and exhibited resistance to between 4 and 10 other antibiotics relevant for therapy in human and animal medicine. Different patterns of resistance were noted for skin and intestines isolates. More than 69% (32 strains) of the isolates inhibited the growth of the majority of pathogenic and spoilage bacteria tested, including Listeria monocytogenes, Staphylococcus aureus, Aeromonas hydrophila, Aeromonas salmonicida, Vibrio anguillarum, and Carnobacterium sp. To our knowledge, this is the first report of bioactive enterococcal species isolated from seabass that could potentially inhibit the undesirable bacteria found in food systems.

  11. Biofuel as an Integrated Farm Drainage Management crop: A bioeconomic analysis

    Science.gov (United States)

    Levers, L. R.; Schwabe, K. A.

    2017-04-01

    Irrigated agricultural lands in arid regions often suffer from soil salinization and lack of drainage, which affect environmental quality and productivity. Integrated Farm Drainage Management (IFDM) systems, where drainage water generated from higher-valued crops grown on high quality soils are used to irrigate salt-tolerant crops grown on marginal soils, is one possible strategy for managing salinity and drainage problems. If the IFDM crop were a biofuel crop, both environmental and private benefits may be generated; however, little is known about this possibility. As such, we develop a bioeconomic programming model of irrigated agricultural production to examine the role salt-tolerant biofuel crops might play within an IFDM system. Our results, generated by optimizing profits over land, water, and crop choice decisions subject to resource constraints, suggest that based on the private profits alone, biofuel crops can be a competitive alternative to the common practices of land retirement and nonbiofuel crop production under both low to high drainage water salinity. Yet IFDM biofuel crop production generates 30-35% fewer GHG emissions than the other strategies. The private market competitiveness coupled with the public good benefits may justify policy changes encouraging the growth of IFDM biofuel crops in arid agricultural areas globally.

  12. The joint use of LCA and emergy evaluation for the analysis of two Italian wine farms.

    Science.gov (United States)

    Pizzigallo, A C I; Granai, C; Borsa, S

    2008-01-01

    The aim of this paper is to evaluate two agroindustrial productive processes in their entirety (one organic and one semi-industrial), focusing on the comparison of impacts derived from the inputs and outputs of the system (life cycle assessment, LCA), integrated with a physical evaluation of the resources and natural services, on a common basis (emergy). Methods based on the joint use of LCA and emergy evaluation are useful, as they measure the contribution of environmental services and products to the productive process thus focusing primarily on the environmental impact of emissions and non-renewable energy inputs. The complementarity of the methods used in this paper contributes important elements and information useful for the comprehension of the organization of agriculture within Siena's territory. The results show important elements and useful information: (1) for the comprehension of the two agroecosystems' organization; (2) for the use of the energy flows that determine their development. Moreover, the combined use of emergy and LCA gives a comparative thermodynamic performance evaluation between organic and semi-industrial farming.

  13. Climate change impact of biochar cook stoves in western Kenyan farm households: system dynamics model analysis.

    Science.gov (United States)

    Whitman, Thea; Nicholson, Charles F; Torres, Dorisel; Lehmann, Johannes

    2011-04-15

    Cook stoves that produce biochar as well as heat for cooking could help mitigate indoor air pollution from cooking fires and could enhance local soils, while their potential reductions in carbon (C) emissions and increases in soil C sequestration could offer access to C market financing. We use system dynamics modeling to (i) investigate the climate change impact of prototype and refined biochar-producing pyrolytic cook stoves and improved combustion cook stoves in comparison to conventional cook stoves; (ii) assess the relative sensitivity of the stoves' climate change impacts to key parameters; and (iii) quantify the effects of different climate change impact accounting decisions. Simulated reductions in mean greenhouse gas (GHG) impact from a traditional, 3-stone cook stove baseline are 3.50 tCO(2)e/household/year for the improved combustion stove and 3.69-4.33 tCO(2)e/household/year for the pyrolytic stoves, of which biochar directly accounts for 26-42%. The magnitude of these reductions is about 2-5 times more sensitive to baseline wood fuel use and the fraction of nonrenewable biomass (fNRB) of off-farm wood that is used as fuel than to soil fertility improvement or stability of biochar. Improved cookstoves with higher wood demand are less sensitive to changes in baseline fuel use and rely on biochar for a greater proportion of their reductions.

  14. Analysis of a wind farm's revenue in the British and Spanish markets

    Energy Technology Data Exchange (ETDEWEB)

    Angarita-Marquez, Jorge L.; Usaola-Garcia, Julio [Network and Electrical Energy Systems Group (REDES) at Universidad Carlos III de Madrid, 28911 Leganes Madrid (Spain); Hernandez-Aramburo, Carlos A. [Control and Power Systems Group at Imperial College of London, SW7 2BT London (United Kingdom)

    2007-10-15

    The composition of the revenue of a wind generation company (WGENCO) under two different European markets is estimated in this paper. The two markets under consideration (British and Spanish) have a very different structure; the Spanish market is a pool-based system while the British market encourages bilateral trading. These markets have also different ways to provide incentives to wind farms, and deal with the trading imbalances to which they are particularly susceptible given the variability of the resource. All these conditions are explained and accounted for in our study of a hypothetical WGENCO that can participate in the two markets. Real wind profiles, two wind-speed forecasting tools and market rules and conditions are used to estimate the WGENCO's revenue over a period of 3 months. Our results show that the net revenue would have been fairly similar under the two market structures; however, the composition of this revenue shows significant differences in terms of renewable incentives and generation revenue. (author)

  15. Regressive Analysis on Leaf Nitrogen Content and Near Infrared Reflectance and Its Application for Agricultural Farm Monitoring with Helicopter Mounted Near Infrared Camera

    Directory of Open Access Journals (Sweden)

    Kohei Arai

    2013-03-01

    Full Text Available Method for evaluation of nitrogen richness of tealeaves with near infrared reflectance is proposed. Also tea farm monitoring with helicopter mounted near infrared camera is proposed. Through experiments and regressive analysis, it is found that the proposed method and monitoring system is validated.

  16. Effects of marine microbial biofilms on the biocide release rate from antifouling paints – A model-based analysis

    DEFF Research Database (Denmark)

    Yebra, Diego Meseguer; Kiil, Søren; Weinell, Claus E.;

    2006-01-01

    The antifouling (AF) paint model of Kiil et al. [S. Kiil, C.E. Weinell, M.S. Pedersen, K. Dam-Johansen, Analysis of self-polishing antifouling paints using rotary experiments and mathematical modelling, Ind. Eng. Chem. Res. 40 (2001) 3906-3920] and the simplified biofilm. growth model of Gujer...... and Warmer [W. Gujer, O. Warmer, Modeling mixed population biofilms, in: W.G. Characklis, K.C. Marshall (Eds.), Biofilms, Wiley-Interscience, New York, 1990] are used to provide a reaction engineering-based insight to the effects of marine microbial slimes on biocide leaching and, to a minor extent...

  17. An Efficient Data Compression Model Based on Spatial Clustering and Principal Component Analysis in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Yihang Yin

    2015-08-01

    Full Text Available Wireless sensor networks (WSNs have been widely used to monitor the environment, and sensors in WSNs are usually power constrained. Because inner-node communication consumes most of the power, efficient data compression schemes are needed to reduce the data transmission to prolong the lifetime of WSNs. In this paper, we propose an efficient data compression model to aggregate data, which is based on spatial clustering and principal component analysis (PCA. First, sensors with a strong temporal-spatial correlation are grouped into one cluster for further processing with a novel similarity measure metric. Next, sensor data in one cluster are aggregated in the cluster head sensor node, and an efficient adaptive strategy is proposed for the selection of the cluster head to conserve energy. Finally, the proposed model applies principal component analysis with an error bound guarantee to compress the data and retain the definite variance at the same time. Computer simulations show that the proposed model can greatly reduce communication and obtain a lower mean square error than other PCA-based algorithms.

  18. Biosecurity and geospatial analysis of mycoplasma infections in poultry farms at Al-Jabal Al-Gharbi region of Libya.

    Science.gov (United States)

    Kammon, Abdulwahab; Mulatti, Paolo; Lorenzetto, Monica; Ferre, Nicola; Sharif, Monier; Eldaghayes, Ibrahim; Dayhum, Abdunaser

    2017-01-01

    Geospatial database of farm locations and biosecurity measures are essential to control disease outbreaks. A study was conducted to establish geospatial database on poultry farms in Al-Jabal Al-Gharbi region of Libya, to evaluate the biosecurity level of each farm and to determine the seroprevalence of mycoplasma and its relation to biosecurity level. A field team of 7 Veterinarians belongs to the National Center of Animal Health was assigned for data recording and collection of blood samples. Personal information of the producers, geographical locations, biosecurity measures and description of the poultry farms were recorded. The total number of poultry farms in Al-Jabal Al-Gharbi Region is 461 farms distributed in 13 cities. Out of these, 102 broiler farms and one broiler breeder farm (10 houses) which were in operation during team visit were included in this study. Following collection of blood, sera were separated and tested by Enzyme-linked immunosorbent assay (ELISA) for the presence of antibodies against Mycoplasma (General antigen for M. gallisepticum and M. synoviae). The seroprevalence of Mycoplasma in the region was 28% (29 poultry farms out of 103 were infected). About 50% (23 out of 47) of poultry farms located in Garian city were infected with Mycoplasma and one significant cluster of Mycoplasma infection in the city was identified. Low level of biosecurity was found in poultry farms of the region. Out of the 103 farms included, 63% of poultry houses has a ground of soil and 44% of them has uncoated walls which may influence the proper cleaning and disinfection. Almost 100% of the farms are at risk of exposure to diseases transmitted by wild birds such as avian influenza and Newcastle disease due to absence of wild birds control program. Although, 81% of the farms have entry restrictions, only 20% have disinfectants at entry which increase the risk of exposure to pathogens. The results of this study highlight the weakness points of biosecurity

  19. Biosecurity and geospatial analysis of mycoplasma infections in poultry farms at Al-Jabal Al-Gharbi region of Libya

    Directory of Open Access Journals (Sweden)

    Abdulwahab Kammon

    2017-04-01

    Full Text Available Geospatial database of farm locations and biosecurity measures are essential to control disease outbreaks. A study was conducted to establish geospatial database on poultry farms in Al-Jabal Al-Gharbi region of Libya, to evaluate the biosecurity level of each farm and to determine the seroprevalence of mycoplasma and its relation to biosecurity level. A field team of 7 Veterinarians belongs to the National Center of Animal Health was assigned for data recording and collection of blood samples. Personal information of the producers, geographical locations, biosecurity measures and description of the poultry farms were recorded. The total number of poultry farms in Al-Jabal Al-Gharbi Region is 461 farms distributed in 13 cities. Out of these, 102 broiler farms and one broiler breeder farm (10 houses which were in operation during team visit were included in this study. Following collection of blood, sera were separated and tested by Enzyme-linked immunosorbent assay (ELISA for the presence of antibodies against Mycoplasma (General antigen for M. gallisepticum and M. synoviae. The seroprevalence of Mycoplasma in the region was 28% (29 poultry farms out of 103 were infected. About 50% (23 out of 47 of poultry farms located in Garian city were infected with Mycoplasma and one significant cluster of Mycoplasma infection in the city was identified. Low level of biosecurity was found in poultry farms of the region. Out of the 103 farms included, 63% of poultry houses has a ground of soil and 44% of them has uncoated walls which may influence the proper cleaning and disinfection. Almost 100% of the farms are at risk of exposure to diseases transmitted by wild birds such as avian influenza and Newcastle disease due to absence of wild birds control program. Although, 81% of the farms have entry restrictions, only 20% have disinfectants at entry which increase the risk of exposure to pathogens. The results of this study highlight the weakness points of

  20. The shadow effect of large wind farms: measurements, data analysis and modelling. Summary report[Final summary report

    Energy Technology Data Exchange (ETDEWEB)

    Frandsen, Steen; Barthelmie, R.; Rathmann, O.; Joergensen, Hans E.; Badger, J.; Hansen, Kurt; Ott, S.; Rethore, P.-E.; Larsen, Soeren E.; Jensen, Leo E.

    2007-07-15

    It was the goal of the project by means of data from the demonstration wind farms Horns Rev and Nysted, analyses of these data and modelling to facilitate prediction of the power losses from a wind farm should a new wind farm be built upwind relative to the prevailing wind direction. Or conversely, predict with adequate accuracy the production of a new wind farm built downwind of an existing wind farm. The project should be seen in the perspective of the two existing demonstration wind farms that extend 5-10 km in each direction. In order to e.g. use the existing electrical infrastructure it may be appropriate to build new wind farms rather close to the existing wind farms. A relevant question is therefore how far away new wind farms must be placed to avoid too large power losses. Measurements have been carried out for several years at the two sites, and databases have been prepared. The databases one for each site include production and operational statistics for the wind turbines and statistics for the meteorological measurements carries out in the vicinity of the wind farms. Several different modelling activities were carried out, which intentionally to some extent are redundant. Thus, if different modelling efforts results in comparable results, the quality of the models will be tested outside the physical range where data are available. All project participants find that the project has been immensely successful. The main achievements of the project are: 1) Measurements were carried out at the Nysted and Horns Rev demonstration wind farms for several years. Doing so included design, installation and operation of the measurement system 2) A data base was built from the incoming data. The data have been organized to facilitate verification of the models developed as part of the project 3) 6-7 different models have been developed and compared. 4) Approximately 20 journal and conference papers have resulted directly from the project (au)

  1. Quantitative analysis of signal transduction in motile and phototactic cells by computerized light stimulation and model based tracking

    Science.gov (United States)

    Streif, Stefan; Staudinger, Wilfried Franz; Oesterhelt, Dieter; Marwan, Wolfgang

    2009-02-01

    To investigate the responses of Halobacterium salinarum to stimulation with light (phototaxis and photokinesis), we designed an experimental setup consisting of optical devices for automatic video image acquisition and computer-controlled light stimulation, and developed algorithms to analyze physiological responses of the cells. Cells are categorized as motile and nonmotile by a classification scheme based on the square displacement of cell positions. Computerized tracking based on a dynamic model of the stochastic cell movement and a Kalman filter-based algorithm allows smoothed estimates of the cell tracks and the detection of physiological responses to complex stimulus patterns. The setup and algorithms were calibrated which allows quantitative measurements and systematic analysis of cellular sensing and response. Overall, the setup is flexible, extensible, and consists mainly of commercially available products. This facilitates modifications of the setup and algorithms for physiological studies of the motility of cells or microorganisms.

  2. Quantitative analysis of signal transduction in motile and phototactic cells by computerized light stimulation and model based tracking.

    Science.gov (United States)

    Streif, Stefan; Staudinger, Wilfried Franz; Oesterhelt, Dieter; Marwan, Wolfgang

    2009-02-01

    To investigate the responses of Halobacterium salinarum to stimulation with light (phototaxis and photokinesis), we designed an experimental setup consisting of optical devices for automatic video image acquisition and computer-controlled light stimulation, and developed algorithms to analyze physiological responses of the cells. Cells are categorized as motile and nonmotile by a classification scheme based on the square displacement of cell positions. Computerized tracking based on a dynamic model of the stochastic cell movement and a Kalman filter-based algorithm allows smoothed estimates of the cell tracks and the detection of physiological responses to complex stimulus patterns. The setup and algorithms were calibrated which allows quantitative measurements and systematic analysis of cellular sensing and response. Overall, the setup is flexible, extensible, and consists mainly of commercially available products. This facilitates modifications of the setup and algorithms for physiological studies of the motility of cells or microorganisms.

  3. The Cost Effectiveness of Psychological and Pharmacological Interventions for Social Anxiety Disorder: A Model-Based Economic Analysis.

    Directory of Open Access Journals (Sweden)

    Ifigeneia Mavranezouli

    Full Text Available Social anxiety disorder is one of the most persistent and common anxiety disorders. Individually delivered psychological therapies are the most effective treatment options for adults with social anxiety disorder, but they are associated with high intervention costs. Therefore, the objective of this study was to assess the relative cost effectiveness of a variety of psychological and pharmacological interventions for adults with social anxiety disorder.A decision-analytic model was constructed to compare costs and quality adjusted life years (QALYs of 28 interventions for social anxiety disorder from the perspective of the British National Health Service and personal social services. Efficacy data were derived from a systematic review and network meta-analysis. Other model input parameters were based on published literature and national sources, supplemented by expert opinion.Individual cognitive therapy was the most cost-effective intervention for adults with social anxiety disorder, followed by generic individual cognitive behavioural therapy (CBT, phenelzine and book-based self-help without support. Other drugs, group-based psychological interventions and other individually delivered psychological interventions were less cost-effective. Results were influenced by limited evidence suggesting superiority of psychological interventions over drugs in retaining long-term effects. The analysis did not take into account side effects of drugs.Various forms of individually delivered CBT appear to be the most cost-effective options for the treatment of adults with social anxiety disorder. Consideration of side effects of drugs would only strengthen this conclusion, as it would improve even further the cost effectiveness of individually delivered CBT relative to phenelzine, which was the next most cost-effective option, due to the serious side effects associated with phenelzine. Further research needs to determine more accurately the long

  4. The Cost Effectiveness of Psychological and Pharmacological Interventions for Social Anxiety Disorder: A Model-Based Economic Analysis

    Science.gov (United States)

    Mavranezouli, Ifigeneia; Mayo-Wilson, Evan; Dias, Sofia; Kew, Kayleigh; Clark, David M.; Ades, A. E.; Pilling, Stephen

    2015-01-01

    Background Social anxiety disorder is one of the most persistent and common anxiety disorders. Individually delivered psychological therapies are the most effective treatment options for adults with social anxiety disorder, but they are associated with high intervention costs. Therefore, the objective of this study was to assess the relative cost effectiveness of a variety of psychological and pharmacological interventions for adults with social anxiety disorder. Methods A decision-analytic model was constructed to compare costs and quality adjusted life years (QALYs) of 28 interventions for social anxiety disorder from the perspective of the British National Health Service and personal social services. Efficacy data were derived from a systematic review and network meta-analysis. Other model input parameters were based on published literature and national sources, supplemented by expert opinion. Results Individual cognitive therapy was the most cost-effective intervention for adults with social anxiety disorder, followed by generic individual cognitive behavioural therapy (CBT), phenelzine and book-based self-help without support. Other drugs, group-based psychological interventions and other individually delivered psychological interventions were less cost-effective. Results were influenced by limited evidence suggesting superiority of psychological interventions over drugs in retaining long-term effects. The analysis did not take into account side effects of drugs. Conclusion Various forms of individually delivered CBT appear to be the most cost-effective options for the treatment of adults with social anxiety disorder. Consideration of side effects of drugs would only strengthen this conclusion, as it would improve even further the cost effectiveness of individually delivered CBT relative to phenelzine, which was the next most cost-effective option, due to the serious side effects associated with phenelzine. Further research needs to determine more accurately

  5. Choices between different off-farm employment sub-categories: An empirical analysis for Jiangxi Province, China

    NARCIS (Netherlands)

    Shi, X.; Heerink, N.; Qu, F.

    2007-01-01

    This paper analyzes the relative importance of four sub-categories of off-farm employment, and the factors driving participation of individuals in these sub-categories for three villages in Jiangxi Province. We find that migration is the most important type of off-farm employment, while agricultural

  6. 基于模型的Meta分析方法及评价%Model-based Meta-analysis: Method and Evaluation

    Institute of Scientific and Technical Information of China (English)

    汪沉; 李禄金; 杨娟; 郑青山

    2016-01-01

    基于模型的Meta分析(model-based meta-analysis,MBMA)是一种新的定量分析方法,其在建模过程中从统计学角度考虑随机效应的影响,并引入了协变量因素,最终形成一种预测性模型,能够模拟不同结果以解决争议问题,但MBMA分析实施难度大,从而导致应用受限.本文总结了现阶段国内外发表的MBMA相关文献,并结合笔者的研究经验,介绍了MBMA的原理、方法和研究现状,以期为广大研究者提供参考.

  7. Model-based analysis of the influence of catchment properties on hydrologic partitioning across five mountain headwater subcatchments.

    Science.gov (United States)

    Kelleher, Christa; Wagener, Thorsten; McGlynn, Brian

    2015-06-01

    Ungauged headwater basins are an abundant part of the river network, but dominant influences on headwater hydrologic response remain difficult to predict. To address this gap, we investigated the ability of a physically based watershed model (the Distributed Hydrology-Soil-Vegetation Model) to represent controls on metrics of hydrologic partitioning across five adjacent headwater subcatchments. The five study subcatchments, located in Tenderfoot Creek Experimental Forest in central Montana, have similar climate but variable topography and vegetation distribution. This facilitated a comparative hydrology approach to interpret how parameters that influence partitioning, detected via global sensitivity analysis, differ across catchments. Model parameters were constrained a priori using existing regional information and expert knowledge. Influential parameters were compared to perceptions of catchment functioning and its variability across subcatchments. Despite between-catchment differences in topography and vegetation, hydrologic partitioning across all metrics and all subcatchments was sensitive to a similar subset of snow, vegetation, and soil parameters. Results also highlighted one subcatchment with low certainty in parameter sensitivity, indicating that the model poorly represented some complexities in this subcatchment likely because an important process is missing or poorly characterized in the mechanistic model. For use in other basins, this method can assess parameter sensitivities as a function of the specific ungauged system to which it is applied. Overall, this approach can be employed to identify dominant modeled controls on catchment response and their agreement with system understanding.

  8. Processing of recognition information and additional cues: A model-based analysis of choice, confidence, and response time

    Directory of Open Access Journals (Sweden)

    Andreas Glockner

    2011-02-01

    Full Text Available Research on the processing of recognition information has focused on testing the recognition heuristic (RH. On the aggregate, the noncompensatory use of recognition information postulated by the RH was rejected in several studies, while RH could still account for a considerable proportion of choices. These results can be explained if either a a part of the subjects used RH or b nobody used it but its choice predictions were accidentally in line with predictions of the strategy used. In the current study, which exemplifies a new approach to model testing, we determined individuals' decision strategies based on a maximum-likelihood classification method, taking into account choices, response times and confidence ratings simultaneously. Unlike most previous studies of the RH, our study tested the RH under conditions in which we provided information about cue values of unrecognized objects (which we argue is fairly common and thus of some interest. For 77.5% of the subjects, overall behavior was best explained by a compensatory parallel constraint satisfaction (PCS strategy. The proportion of subjects using an enhanced RH heuristic (RHe was negligible (up to 7.5%; 15% of the subjects seemed to use a take the best strategy (TTB. A more-fine grained analysis of the supplemental behavioral parameters conditional on strategy use supports PCS but calls into question process assumptions for apparent users of RH, RHe, and TTB within our experimental context. Our results are consistent with previous literature highlighting the importance of individual strategy classification as compared to aggregated analyses.

  9. A macrokinetic model-based comparative meta-analysis of recombinant protein production by Pichia pastoris under AOX1 promoter.

    Science.gov (United States)

    Barrigon, José Manuel; Valero, Francisco; Montesinos, José Luis

    2015-06-01

    An unstructured macrokinetic model for heterologous production of Rhizopus oryzae lipase (ROL) by a Pichia pastoris PAOX1 based system was developed. Mean specific rates and state variables for various fed-batch cultures, under methanol limited and non-limited conditions were used for modeling. The most representative kinetic functions (viz., Monod, Haldane, Pirt and Luedeking-Piret) were used for the specific rates of cell growth (µ), substrate consumption (qS ) and product formation (qP ). The performance of two different process models was assessed via simulation tests, using an overall validation procedure. The best model describes the cellular growth by a non-monotonic substrate function, substrate uptake via Pirt's equation and product formation through a Luedeking-Piret equation. A comparative meta-analysis of heterologous protein production of various target proteins by Pichia pastoris under AOX1 promoter was conducted and a general strategy for improving protein production from process kinetics was developed as a key to bioprocess optimization.

  10. Model-based analysis of an automated changeover switching unit for a busbar. MODSAFE 2009 work report

    Energy Technology Data Exchange (ETDEWEB)

    Bjorkman, K.; Valkonen, J.; Ranta, J.

    2011-06-15

    Verification of digital instrumentation and control (I and C) systems is challenging, because programmable logic controllers enable complicated control functions and the state spaces (number of distinct values of inputs, outputs, and internal memory) of the designs become easily too large for comprehensive manual inspection. Model checking is a promising formal method that can be used for verifying the correctness of system designs. A number of efficient model checking systems are available offering analysis tools that are able to determine automatically whether a given state machine model satisfies the desired safety properties. Model checking can also handle delays and other time-related operations, which are crucial in safety I and C systems and challenging to design and verify. The system analysed in this research project is called 'automated changeover switching unit for a busbar' and its purpose is to switch the power feed to stand-by power supply in the event of voltage breaks. The system is modelled as a finite state machine and some of its key properties are verified with the NuSMV model checking tool. The time-dependent components are modelled to operate in discrete fixed-length time steps and the lengths of the timed functions are scaled to avoid state explosion and enable efficient model checking. (orig.)

  11. Passive hybridization of a photovoltaic module with lithium-ion battery cells: A model-based analysis

    Science.gov (United States)

    Joos, Stella; Weißhar, Björn; Bessler, Wolfgang G.

    2017-04-01

    Standard photovoltaic battery systems based on AC or DC architectures require power electronics and controllers, including inverters, MPP tracker, and battery charger. Here we investigate an alternative system design based on the parallel connection of a photovoltaic module with battery cells without any intermediate voltage conversion. This approach, for which we use the term passive hybridization, is based on matching the solar cell's and battery cell's respective current/voltage behavior. A battery with flat discharge characteristics can allow to pin the solar cell to its maximum power point (MPP) independently of the external power consumption. At the same time, upon battery full charge, voltage increase will drive the solar cell towards zero current and therefore self-prevent battery overcharge. We present a modeling and simulation analysis of passively hybridizing a 5 kWp PV system with a 5 kWh LFP/graphite lithium-ion battery. Dynamic simulations with 1-min time resolution are carried out for three exemplary summer and winter days using historic weather data and a synthetic single-family household consumer profile. The results demonstrate the feasibility of the system. The passive hybrid allows for high self-sufficiencies of 84.6% in summer and 25.3% in winter, which are only slightly lower than those of a standard system.

  12. Development of a computer-assisted system for model-based condylar position analysis (E-CPM).

    Science.gov (United States)

    Ahlers, M O; Jakstat, H

    2009-01-01

    Condylar position analysis is a measuring method for the three-dimensional quantitative acquisition of the position of the mandible in different conditions or at different points in time. Originally, the measurement was done based on a model, using special mechanical condylar position measuring instruments, and on a research scale with mechanical-electronic measuring instruments. Today, as an alternative, it is possible to take measurements with electronic measuring instruments applied directly to the patient. The computerization of imaging has also facilitated condylar position measurement by means of three-dimensional data records obtained by imaging examination methods, which has been used in connection with the simulation and quantification of surgical operation results. However, the comparative measurement of the condylar position at different points in time has so far not been possible to the required degree. An electronic measuring instrument, allowing acquisition of the condylar position in clinical routine and facilitating later calibration with measurements from later examinations by data storage and use of precise equalizing systems, was therefore designed by the present authors. This measuring instrument was implemented on the basis of already existing components from the Reference CPM und Cadiax Compact articulator and registration systems (Gamma Dental, Klosterneuburg, Austria) as well as the matching CMD3D evaluation software (dentaConcept, Hamburg).

  13. A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine.

    Science.gov (United States)

    Shang, Qiang; Lin, Ciyun; Yang, Zhaosheng; Bing, Qichun; Zhou, Xiyang

    2016-01-01

    Short-term traffic flow prediction is one of the most important issues in the field of intelligent transport system (ITS). Because of the uncertainty and nonlinearity, short-term traffic flow prediction is a challenging task. In order to improve the accuracy of short-time traffic flow prediction, a hybrid model (SSA-KELM) is proposed based on singular spectrum analysis (SSA) and kernel extreme learning machine (KELM). SSA is used to filter out the noise of traffic flow time series. Then, the filtered traffic flow data is used to train KELM model, the optimal input form of the proposed model is determined by phase space reconstruction, and parameters of the model are optimized by gravitational search algorithm (GSA). Finally, case validation is carried out using the measured data of an expressway in Xiamen, China. And the SSA-KELM model is compared with several well-known prediction models, including support vector machine, extreme learning machine, and single KLEM model. The experimental results demonstrate that performance of the proposed model is superior to that of the comparison models. Apart from accuracy improvement, the proposed model is more robust.

  14. Identifying the source of farmed escaped Atlantic salmon (Salmo salar): Bayesian clustering analysis increases accuracy of assignment

    DEFF Research Database (Denmark)

    Glover, Kevin A.; Hansen, Michael Møller; Skaala, Oystein

    2009-01-01

    Farmed Atlantic salmon escapees represent a significant threat to the genetic integrity of natural populations. Not all escapement events are reported, and consequently, there is a need to develop an effective tool for the identification of escapees. In this study, > 2200 salmon were collected from...... 44 cages located on 26 farms in the Hardangerfjord, western Norway. This fjord represents one of the major salmon farming areas in Norway, with a production of 57,000 t in 2007. Based upon genetic data from 17 microsatellite markers, significant but highly variable differentiation was observed among...... of precision. This study demonstrates the potential to identify the farm of origin for escapees in a region with a large number of salmon farms. The approaches described here will be of relevance to a range of other species reared in culture where identification of escapees may be required....

  15. Population-level impact of the bivalent, quadrivalent, and nonavalent human papillomavirus vaccines: a model-based analysis.

    Science.gov (United States)

    Van de Velde, Nicolas; Boily, Marie-Claude; Drolet, Mélanie; Franco, Eduardo L; Mayrand, Marie-Hélène; Kliewer, Erich V; Coutlée, François; Laprise, Jean-François; Malagón, Talía; Brisson, Marc

    2012-11-21

    Bivalent and quadrivalent human papillomavirus (HPV) vaccines are now licensed in several countries. Furthermore, clinical trials examining the efficacy of a nonavalent vaccine are underway. We aimed to compare the potential population-level effectiveness of the bivalent, quadrivalent, and candidate nonavalent HPV vaccines. We developed an individual-based, transmission-dynamic model of HPV infection and disease in a population stratified by age, gender, sexual activity, and screening behavior. The model was calibrated to highly stratified sexual behavior, HPV epidemiology, and cervical screening data from Canada. Under base case assumptions, vaccinating 12-year-old girls (70% coverage) with the bivalent (quadrivalent) vaccine is predicted to reduce the cumulative incidence of anogenital warts (AGWs) by 0.0% (72.1%), diagnosed cervical intraepithelial neoplasia lesions 2 and 3 (CIN2 and -3) by 51.0% (46.1%), and cervical squamous cell carcinoma (SCC) by 31.9% (30.5%), over 70 years. Changing from a bivalent (quadrivalent) to a nonavalent vaccine is predicted to reduce the cumulative number of AGW episodes by an additional 66.7% (0.0%), CIN2 and -3 episodes by an additional 9.3% (12.5%), and SCC cases by an additional 4.8% (6.6%) over 70 years. Differences in predicted population-level effectiveness between the vaccines were most sensitive to duration of protection and the time horizon of analysis. The vaccines produced similar effectiveness at preventing noncervical HPV-related cancers. The bivalent vaccine is expected to be slightly more effective at preventing CIN2 and -3 and SCC in the longer term, whereas the quadrivalent vaccine is expected to substantially reduce AGW cases shortly after the start of vaccination programs. Switching to a nonavalent vaccine has the potential to further reduce precancerous lesions and cervical cancer.

  16. The Relationship of Dairy Farm Eco-Efficiency with Intensification and Self-Sufficiency. Evidence from the French Dairy Sector Using Life Cycle Analysis, Data Envelopment Analysis and Partial Least Squares Structural Equation Modelling

    Science.gov (United States)

    Soteriades, Andreas Diomedes; Stott, Alistair William; Moreau, Sindy; Charroin, Thierry; Blanchard, Melanie; Liu, Jiayi; Faverdin, Philippe

    2016-01-01

    We aimed at quantifying the extent to which agricultural management practices linked to animal production and land use affect environmental outcomes at a larger scale. Two practices closely linked to farm environmental performance at a larger scale are farming intensity, often resulting in greater off-farm environmental impacts (land, non-renewable energy use etc.) associated with the production of imported inputs (e.g. concentrates, fertilizer); and the degree of self-sufficiency, i.e. the farm’s capacity to produce goods from its own resources, with higher control over nutrient recycling and thus minimization of losses to the environment, often resulting in greater on-farm impacts (eutrophication, acidification etc.). We explored the relationship of these practices with farm environmental performance for 185 French specialized dairy farms. We used Partial Least Squares Structural Equation Modelling to build, and relate, latent variables of environmental performance, intensification and self-sufficiency. Proxy indicators reflected the latent variables for intensification (milk yield/cow, use of maize silage etc.) and self-sufficiency (home-grown feed/total feed use, on-farm energy/total energy use etc.). Environmental performance was represented by an aggregate ‘eco-efficiency’ score per farm derived from a Data Envelopment Analysis model fed with LCA and farm output data. The dataset was split into two spatially heterogeneous (bio-physical conditions, production patterns) regions. For both regions, eco-efficiency was significantly negatively related with milk yield/cow and the use of maize silage and imported concentrates. However, these results might not necessarily hold for intensive yet more self-sufficient farms. This requires further investigation with latent variables for intensification and self-sufficiency that do not largely overlap- a modelling challenge that occurred here. We conclude that the environmental ‘sustainability’ of intensive dairy

  17. Identification and molecular analysis of infectious bursal disease in broiler farms in the Kurdistan Regional Government of Iraq.

    Science.gov (United States)

    Amin, Oumed Gerjis M; Jackwood, Daral J

    2014-10-01

    The present study was undertaken to characterize field isolates of infectious bursal disease virus (IBDV). The identification was done using reverse transcription-polymerase chain reaction (RT-PCR) and partial sequencing of the VP2 gene. Pooled bursal samples were collected from commercial broiler farms located in the Kurdistan Regional Government (KRG) of Iraq. The genetic material of the IBDV was detected in 10 out of 29 field samples. Sequences of the hypervariable VP2 region were determined for 10 of these viruses. Molecular analysis of the VP2 gene of five IBDVs showed amino acid sequences consistent with the very virulent (vv) IBDV. Two samples were identified as classic vaccine viruses, and three samples were classic vaccine viruses that appear to have mutated during replication in the field. Phylogenetic analysis showed that all five field IBDV strains of the present study were closely related to each other. On the basis of nucleotide sequencing and phylogenetic analysis, it is very likely that IBD-causing viruses in this part of Iraq are of the very virulent type. These IBDVs appear to be evolving relative to their type strains.

  18. Quantitative analysis of surface deformation and ductile flow in complex analogue geodynamic models based on PIV method.

    Science.gov (United States)

    Krýza, Ondřej; Lexa, Ondrej; Závada, Prokop; Schulmann, Karel; Gapais, Denis; Cosgrove, John

    2017-04-01

    Recently, a PIV (particle image velocimetry) analysis method is optical method abundantly used in many technical branches where material flow visualization and quantification is important. Typical examples are studies of liquid flow through complex channel system, gas spreading or combustion problematics. In our current research we used this method for investigation of two types of complex analogue geodynamic and tectonic experiments. First class of experiments is aimed to model large-scale oroclinal buckling as an analogue of late Paleozoic to early Mesozoic evolution of Central Asian Orogenic Belt (CAOB) resulting from nortward drift of the North-China craton towards the Siberian craton. Here we studied relationship between lower crustal and lithospheric mantle flows and upper crustal deformation respectively. A second class of experiments is focused to more general study of a lower crustal flow in indentation systems that represent a major component of some large hot orogens (e.g. Bohemian massif). The most of simulations in both cases shows a strong dependency of a brittle structures shape, that are situated in upper crust, on folding style of a middle and lower ductile layers which is influenced by rheological, geometrical and thermal conditions of different parts across shortened domain. The purpose of PIV application is to quantify material redistribution in critical domains of the model. The derivation of flow direction and calculation of strain-rate and total displacement field in analogue experiments is generally difficult and time-expensive or often performed only on a base of visual evaluations. PIV method operates with set of images, where small tracer particles are seeded within modeled domain and are assumed to faithfully follow the material flow. On base of pixel coordinates estimation the material displacement field, velocity field, strain-rate, vorticity, tortuosity etc. are calculated. In our experiments we used velocity field divergence to

  19. Genetic analysis of clinical mastitis data from on-farm management software using threshold models.

    Science.gov (United States)

    Zwald, N R; Weigel, K A; Chang, Y M; Welper, R D; Clay, J S

    2006-01-01

    Producer-recorded clinical mastitis data from 77,791 cows in 418 herds were used to determine the potential for genetic improvement of mastitis resistance using data from on-farm management software programs. The following threshold sire models were applied: 1) a single-trait lactation model, where mastitis was recorded as 0 or 1 in first lactation only; 2) a 3-trait lactation model, where mastitis was recorded as 0 or 1 in each of the first 3 lactations, and 3) a 12-trait, lactation-segment model, where mastitis was recorded as 0 or 1 in each of 4 segments (0 to 50, 51 to 155, 156 to 260, and 261 to 365 d postpartum) in each of the first 3 lactations. Lactation incidence rates were 0.16, 0.20, and 0.24 in first, second, and third lactation, respectively, and incidence rates within various segments of these lactations ranged from 0.036 in late first lactation to 0.093 in early third lactation. Estimated heritability of liability to clinical mastitis ranged from 0.07 to 0.15, depending on the model and stage of lactation. Heritability estimates were higher in first lactation than in subsequent lactations, but estimates were generally similar for different segments of the same lactation. Genetic correlations between lactations from the 3-trait model ranged from 0.42 to 0.49, while correlations between segments within lactation from the 12-trait model ranged from 0.26 to 0.64. Based on the results presented herein, it appears that at least 2 segments are needed per lactation, because mastitis in early lactation is lowly correlated with mastitis in mid or late lactation. Predicted transmitting abilities of sires ranged from 0.77 to 0.89 for probability of no mastitis during the first lactation and from 0.36 to 0.59 for probability of no mastitis during the first 3 lactations. Overall, this study shows that farmer-recorded clinical mastitis data can make a valuable contribution to genetic selection programs, but additional systems for gathering and storing this

  20. Integrating Water Flow, Solute Transport and Crop Production Models At The Farm-scale

    Science.gov (United States)

    Assinck, F. B. T.; de Vos, J. A.

    Minimising nitrate pollution of ground and surface water and optimising agricultural yields are problems which have to be addressed at the farm-scale. However, simulation models usually operate at the field-scale. We coupled the subsurface hydrology model SWAP with other existing deterministic (sub)models for solute transport, organic mat- ter dynamics, crop growth, and dairy farm management at the farm-scale, resulting in the model WATERPAS. The (sub)models are coupled in a Framework environment obeying the principles of object oriented modelling. Based on daily weather data, groundwater regimes, soil and farm characteristics WATERPAS is able to simulate the water and nutrient balances, grass production, economical benefits, nitrate leaching and greenhouse gas emissions at a farm. Problems of coupling, such as data-transfer, quality checks, over-parameterisation, complexity and sensitivity of the systems are discussed. Application of deducted simpler models and expert judgement can be use- ful for practical use. However, we believe that integrated models are a powerful tool to understand the complex relationships between the different processes. It also gives opportunities to perform scenario analysis for future boundary conditions, i.e. due to changing farm management, (sea) water levels and climate change.

  1. Diastolic function alteration mechanisms in physiologic hypertrophy versus pathologic hypertrophy are elucidated by model-based Doppler E-wave analysis

    Directory of Open Access Journals (Sweden)

    Simeng Zhu

    2014-12-01

    Full Text Available Athletic training can result in increased left ventricular (LV wall thickness, termed physiologic hypertrophy (PhH. By contrast, pathologic hypertrophy (PaH can be due to hypertension, aortic stenosis, or genetic mutation causing hypertrophic cardiomyopathy (HCM. Because morphologic (LV dimension, wall thickness, mass, etc. and functional index similarities (LV ejection fraction, cardiac output, peak filling rate, etc. limit diagnostic specificity, ability to differentiate between PhH and PaH is important. Conventional echocardiographic diastolic function (DF indexes have limited ability to differentiate between PhH and PaH and cannot provide information on chamber property (stiffness and relaxation. We hypothesized that kinematic model-based DF assessment can differentiate between PhH and PaH and, by providing chamber properties, has even greater value compared with conventional metrics. For validation, we assessed DF in the following three age-matched groups: pathologic (HCM hypertrophy (PaH, n = 14, PhH (Olympic rowers, PhH, n = 21, and controls (n = 21. Magnetic resonance imaging confirmed presence of both types of hypertrophy and determined LV mass and chamber size. Model-based indexes, chamber stiffness (k, relaxation/viscoelasticity (c, and load (xo and conventional indexes, Epeak (peak of E-wave, ratio of Epeak to Apeak (E/A, E-wave acceleration time (AT, and E-wave deceleration time (DT were computed. We analyzed 1588 E waves distributed as follows: 328 (PaH, 672 (athletes, and 588 (controls. Among conventional indexes, Epeak and E-wave DT were similar between PaH and PhH, whereas E/A and E-wave AT were lower in PaH. Model-based analysis showed that PaH had significantly higher relaxation/viscoelasticity (c and chamber stiffness (k than PhH. The physiologic equation of motion for filling-based derivation of the model provides a mechanistic understanding of the differences between PhH and PaH.

  2. Estimation of the population size of Canadian commercial poultry farms by log-linear capture-recapture analysis.

    Science.gov (United States)

    El Allaki, Farouk; Christensen, Jette; Vallières, André; Paré, Julie

    2014-10-01

    The objective of this study was to estimate the population size of Canadian poultry farms in 3 subpopulations (British Columbia, Ontario, and Other) by poultry category. We used data for 2008 to 2011 from the Canadian Notifiable Avian Influenza (NAI) Surveillance System (CanNAISS). Log-linear capture-recapture models were applied to estimate the number of commercial chicken and turkey farms. The estimated size of farm populations was validated by comparing sizes to data provided by the Canadian poultry industry in 2007, which were assumed to be complete and exhaustive. Our results showed that the log-linear modelling approach was an appropriate tool to estimate the population size of Canadian commercial chicken and turkey farms. The 2007 farm population size for each poultry category was included in the 95% confidence intervals of the farm population size estimates. Log-linear capture-recapture modelling might be useful for estimating the number of farms using surveillance data when no comprehensive registry exists.

  3. Online Reviews Sentiment Analysis Model Based on Rough Sets%基于粗糙集的在线评论情感分析模型

    Institute of Scientific and Technical Information of China (English)

    王祖辉; 姜维

    2012-01-01

    针对在线评论情感分析的复杂特征抽取问题,提出一种基于粗糙集的在线评论情感分析模型.分析传统词袋性特征,指出固定搭配特征在情感极性判别中的作用,采用粗糙集方法挖掘在线评论中的固定搭配特征,将其融合于SVM与Naive Bayes等情感分析模型中.实际酒店的在线评论情感分析结果表明,增加粗规则后,SVM模型与Naive Bayes模型获得的评论情感判别精度都有所提高.%In order to extract the complicated features for online reviews sentiment analysis, an online reviews sentiment analysis model based on rough sets is presented. It analyzes the traditional word bags features, and the regular collocation features are confirmed to play important role in identifying the reviews sentiment. The regular collocation features as rough rules extracted are incorporated into the sentiment analysis model, and the results on real hotel online reviews show the performance improvement under both Support Vector Machine(SVM) model and Naive Bayes model.

  4. Economic and environmental sustainability analysis of guar (Cyamopsis tetragonoloba L. farming process in a Mediterranean area: two case studies

    Directory of Open Access Journals (Sweden)

    Fabio Gresta

    2014-02-01

    Full Text Available Guar (Cyamopsis tetragonoloba L. is a spring-summer legume with a high drought tolerance, grown mainly in India, Pakistan, United States and South Africa, whose seeds contain galactomannans. These can be used as an emollient, softening or thickening agent, a flocculant, as well as in hydraulic fracturing, and as a stabiliser in a wide range of other industrial activities: the production of cosmetics, paper, textiles, paints and varnishes, detergents, in construction, and in food products (jams, jellies, yogurt, mayonnaise, ketchup, diet foods, foods for coeliacs, etc.. In the light of a growing industrial demand for guar flour, in May 2012 a trial was carried out in southern Italy. Seeds from South Africa were sown in large plots on two farms with different soil characteristics. The crop showed yields varying between 1.8 and 2.2 t ha–1. Agronomic results were then used to conduct an integrated sustainability analysis using the production cost analysis and the life cycle assessment, in order to assess, respectively, the cost-effectiveness and the environmental impact of the production process of guar in a Mediterranean environment. Compared to other competitive crops, guar, with less than 3000 kg of CO2 eq. emissions, can be considered as a low-emission crop. Given the above-mentioned yield, guar growing is economically sustainable when the purchase price of seeds is not less than 0.96 € kg–1.

  5. LES and Proper Orthogonal Decomposition analysis of vertical entrainment of kinetic energy in large wind farms (Invited)

    Science.gov (United States)

    Meneveau, C. V.; VerHulst, C.

    2013-12-01

    Vertical entrainment of kinetic energy has been shown to be an important limiting factor in the performance of very large wind turbine arrays. Given high Reynolds numbers and domain sizes on the order of kilometers, we rely on wall-modeled Large Eddy Simulation (LES) to predict flow within large wind farm. We use Proper Orthogonal Decomposition (POD) to identify energetically important large-scale structures in the flow. The primary large-scale structures are found to be streamwise counter-rotating vortices located above the height of the wind turbines. The contribution of each flow structure to the kinetic energy entrainment is quantified. Surprisingly, fewer flow structures (POD modes) contribute to the vertical kinetic energy flux than to the kinetic energy in the flow, for which the POD analysis is optimal. While the general characteristics of the flow structures are robust, the net kinetic energy entrainment to the turbines depends on the orientation of the wind turbines in the array. The various modes' contributions to variability and intermittency is also quantified. The POD analysis is performed for aligned and staggered wind turbine arrays as well as for atmospheric flow without wind turbines. This research is supported by a NSF Graduate Fellowship and by the WINDINSPIRE project, funded through NSF-OISE 1243482.

  6. Farm Typology in the Berambadi Watershed (India: Farming Systems Are Determined by Farm Size and Access to Groundwater

    Directory of Open Access Journals (Sweden)

    Marion Robert

    2017-01-01

    Full Text Available Farmers’ production decisions and agricultural practices directly and indirectly influence the quantity and quality of natural resources, some being depleted common resources such as groundwater. Representing farming systems while accounting for their flexibility is needed to evaluate targeted, regional water management policies. Farmers’ decisions regarding investing in irrigation and adopting cropping systems are inherently dynamic and must adapt to changes in climate and agronomic, economic and social, and institutional, conditions. To represent this diversity, we developed a typology of Indian farmers from a survey of 684 farms in Berambadi, an agricultural watershed in southern India (state of Karnataka. The survey provided information on farm structure, the cropping system and farm practices, water management for irrigation, and economic performances of the farm. Descriptive statistics and multivariate analysis (Multiple Correspondence Analysis and Agglomerative Hierarchical Clustering were used to analyze relationships between observed factors and establish the farm typology. We identified three main types of farms: (1 large diversified and productivist farms; (2 small and marginal rainfed farms, and (3 small irrigated marketing farms. This typology represents the heterogeneity of farms in the Berambadi watershed.

  7. Estimation on the Reliability of Farm Vehicle Based on Artificial Neural Network

    Institute of Scientific and Technical Information of China (English)

    WANG Jinwu

    2008-01-01

    As a peculiar product in China today, farm vehicles play an important role in economic construction and development of the countryside, but its work reliability remains low. In this paper truncated tracking was used to solve the low reliability of farm vehicles. Relevant reliability data were obtained by tracking a certain model vehicle and conducting reliability experiments. Data analysis revealed the weakest part of the vehicle system was the engine assembly. The theory of Artificial Neural Network was employed to estimate a parameter of the reliability model based on self-adaptive linear neural network, and the reliability function educed by the estimation could provide important theory references for reliability reassignment, manufacture and management of farm transport vehicles.

  8. Emergy analysis of paddy farming in Hunan Province, China:A new perspective on sustainable development of agriculture

    Institute of Scientific and Technical Information of China (English)

    YI Ting; XIANG Ping-an

    2016-01-01

    The multi-functionality of paddy farming has become a hot issue recently. Paddy farming provides numerous ecosystem services that are crucial to human wel-being. However, evaluation of the contribution of paddy farming to human wel-being usualy focus on its economic value, while its non-market services are usualy ignored. Only evaluating the market proifts or market relative beneifts cannot relfect comprehensively the contribution of paddy farming to people’s wel-being. This wil affect people’s choices for or against paddy farming activities and people’s opt for invest or not invest in it. A compre-hensive evaluation of paddy farming can provide an important reference for the government and society to conserve the multi-functionality of paddy farming and achieve sustainable development. To this end, this paper reports a case evaluation of paddy farming in Hunan, the largest rice producing as wel as rice yield province in China, and uses emergy theory to make a comprehensive evaluation for paddy farming. The emergy evaluation results of the paddy ecosystem in Hunan are as folows: in 2010, the input emergy of the paddy ecosystem in Hunan is 2.51E+22 sej and the output emergy is 6.31E+22 sej. For the input emergy, the part from natural resources is 1.96E+21 sej and the part from human society is 2.32E+22 sej; for the output emergy, the part from products is 2.22E+22 sej, the part from impositive externality is 4.16E+22 sej and the part from negative externality is –7.41E+20 sej. Taking the non-market outputs into consideration, the gains from the human economic society’s 1 $ input in paddy farming, emergy sustainability index (ESI) and emergy proift rate are re-spectively 2.73 $, 3.53 and 151.31%. If the evaluation leave out the non-market output, the three indexes are only 0.96 $, 1.24 and 30.67%. The research results show that non-market services of paddy farming contribute signiifcantly to human wel-being. Therefore, in order to protect the multi

  9. Whole-Farm Evaluation of Phosphorus Crystallization as a Dairy Farm BMP

    Science.gov (United States)

    A recently proven method for precipitating significant phosphorus from dairy lagoons was incorporated to the Integrated Farm System Model. A whole-farm analysis of this BMP, including environmental and economical effects, were evaluated for an organic dairy farm in Washington. The BMP provides a non...

  10. ANALYSIS OF THE TECHNICAL EFFCIENCY OF THE STOCHASTIC FRONTIER PRODUCTION FUNCTION IN FOREST FARMING NICARAGUA 1998-2005

    OpenAIRE

    Zúniga-González, Carlos Alberto

    2009-01-01

    Presented at: UNIVERSITIES NATIONAL COUNCIL III UNVERSITY SCIENTIFIC CONGRESS 41 ANNIVERSARY OF THE CATHOLIC FARMING LIVESTOCK UNIVERSITY OF THE DRY TROPIC ¨UNIVERSITY, SCIENCE AND TECNOLOGY: A STRATEGY FOR CONFRONTING THE NATIONAL GLOBAL CHALLENGE¨ 23 SEPTEMBER 2009

  11. Identification of the risk factors associated with cheese production to implement the hazard analysis and critical control points (HACCP) system on cheese farms.

    Science.gov (United States)

    Carrascosa, Conrado; Millán, Rafael; Saavedra, Pedro; Jaber, José Raduán; Raposo, António; Sanjuán, Esther

    2016-04-01

    The purpose of this paper was to evaluate, by statistical analyses, risk factors on cheese farms that can influence the microbial contamination of their products. Various assessment tools, such as cheese production questionnaires, food handlers' knowledge testing, and hygiene assessment system surveys, were used on 39 cheese farms on the island of Gran Canaria, Spain. The microbiological status of 773 raw milk and cheese samples from the cheese farms was assessed by enumerating total viable counts and 4 pathogens: Escherichia coli, Staphylococcus aureus, Listeria monocytogenes, and Salmonella spp. The results revealed that the highest contamination by Staph. aureus (4.39%, >10(5)cfu/mL) was found in milk, and the highest contamination by E. coli (5.18%, >10(3) cfu/mL) was found in cheese. Very few samples (0.52%) were contaminated by L. monocytogenes or Salmonella spp. The factors associated with any tested microorganism were "handling," "knowledge," and "type of milk." Subsequently, multidimensional logistic analysis for contamination by E. coli showed an independent association for factors "cleaning and disinfection test" and "type of milk." The probability of total aerobic contamination of milk increased with lower hygiene assessment system survey scores. These results emphasize the need to apply and maintain good hygiene practices, and to study risk factors to prevent contamination and bacterial growth. Further research is required in other areas with different cheese farm types to reinforce the validity of these results.

  12. Analysis of sediment, water, and biological samples from the Bay Farm Borrow Area, San Francisco Bay, California

    Energy Technology Data Exchange (ETDEWEB)

    Thom, R.M.; Lefkovitz, L.F. (Battelle/Marine Sciences Lab., Sequim, WA (United States))

    1991-08-01

    The Bay Farm Borrow Area (BFBA) of San Francisco Bay, California, is under consideration as a dredged-material disposal site by the US Army Corps of Engineers (USACE). As part of the analysis of the site, information is required on the quality of benthic biota, sediment, and water in the BFBA. The objective of this report was to provide data on infauna communities, sediment, and water chemistry from samples collected from the BFBA. The samples were collected, and the data will be analyzed by Science Applications International (SAIC). A total of four samples for sediment chemistry, four samples for water chemistry, and 7 samples for infauna communities were analyzed by the Battelle/Marine Sciences Laboratory (MSL). Water analyses included tests for dissolved organic carbon, total suspended solids, four metals, butyltins, polychlorinated biphenyls (PCBs), chlorinated pesticides, polynuclear aromatic hydrocarbons (PAHs), four phenols, and total phenol. Sediment samples were analyzed for percent solids, total organic carbon, total oil and grease, total petroleum hydrocarbons, grain size, 10 metals, butyltins, PCBs, chlorinated pesticides, PAHs, four phenols, and total phenol. The data along with controls and spike recovery analyses, are presented in tables, and the results are discussed in the text. The quality assurance/quality control criteria were met for the analyses as were the detection limits specified by the sponsor.

  13. Financial analysis of brucellosis control for small-scale goat farming in the Bajio Region, Mexico

    NARCIS (Netherlands)

    Oseguera Montiel, D.; Bruce, M.; Frankena, K.; Udo, H.M.J.; Zijpp, van der A.J.; Rushton, J.

    2015-01-01

    Brucellosis is an endemic disease in small-scale goat husbandry systems in Mexico. It is a zoonosis and the economic consequences can be large, although estimates are not available for the Mexican goat sector. Our objective was to conduct a financial analysis of brucellosis control in a prominent da

  14. BUSINESS GROWTH STRATEGIES OF ILLINOIS FARMS: A QUANTILE REGRESSION APPROACH

    OpenAIRE

    Hennings, Enrique; Katchova, Ani L.

    2005-01-01

    This study examines the business strategies employed by Illinois farms to maintain equity growth using quantile regression analysis. Using data from the Farm Business Farm Management system, this study finds that the effect of different business strategies on equity growth rates differs between quantiles. Financial management strategies have a positive effect for farms situated in the highest quantile of equity growth, while for farms in the lowest quantile the effect on equity growth is nega...

  15. Using Spline Regression in Semi-Parametric Stochastic Frontier Analysis: An Application to Polish Dairy Farms

    DEFF Research Database (Denmark)

    Czekaj, Tomasz Gerard; Henningsen, Arne

    The estimation of the technical efficiency comprises a vast literature in the field of applied production economics. There are two predominant approaches: the non-parametric and non-stochastic Data Envelopment Analysis (DEA) and the parametric Stochastic Frontier Analysis (SFA). The DEA...... of specifying an unsuitable functional form and thus, model misspecification and biased parameter estimates. Given these problems of the DEA and the SFA, Fan, Li and Weersink (1996) proposed a semi-parametric stochastic frontier model that estimates the production function (frontier) by non-parametric......), Kumbhakar et al. (2007), and Henningsen and Kumbhakar (2009). The aim of this paper and its main contribution to the existing literature is the estimation semi-parametric stochastic frontier models using a different non-parametric estimation technique: spline regression (Ma et al. 2011). We apply...

  16. Dynamic Ecocentric Assessment Combining Emergy and Data Envelopment Analysis: Application to Wind Farms

    OpenAIRE

    Mario Martín-Gamboa; Diego Iribarren

    2016-01-01

    Most of current life-cycle approaches show an anthropocentric standpoint for the evaluation of human-dominated activities. However, this perspective is insufficient when it comes to assessing the contribution of natural resources to production processes. In this respect, emergy analysis evaluates human-driven systems from a donor-side perspective, accounting for the environmental effort performed to make the resources available. This article presents a novel methodological framework, which co...

  17. ANALYSIS OF THE MAJOR ECONOMIC FACTORS OF THE WIND TURBINES PERFORMANCE BASED ON THE RESULTS OF COMMERCIAL SERVICE EXPERIENCE OF THE WIND-FARMS IN LATVIA

    Directory of Open Access Journals (Sweden)

    Y. A. Rolik

    2015-01-01

    Full Text Available The article examines the main aspects of commercial realization of wind-power projects as application part of wind-power industry with the view of evaluating viability and financial feasibility of the specified projects. The paper presents the results of 10 years’ commercial service experience of two wind-farms accomplished on the basis of three wind turbines (WT – NORDEX N54, 1.0 MW capacity each, 60 m tower height, located in settlements Uzava and Alsunga on the coast of the Baltic Sea in the Republic of Latvia. The results were obtained by the way of collation of the site-location wind conditions and the major economic factors of the WT operation in the considered wind farms. The collation included the following estimated figures: annual electricity production, average annual income received during the period under review, electricity prime cost. The WT-site location wind conditions and the site-distance from the coastal line have an effect on the WT-performance economic factors that provide an integral insight into the viability and financial feasibility of the wind energy projects.Based on the analysis of the obtained data, the authors show that the relative produced energy value decreases 10 % with each kilometer wind-farm site distance from the coastal line of the Baltic Sea. They also indicate the effect the surrounding-area wind conditions and the TW-location site remoteness from the costal line have on the prime cost of the electricity generated by the wind farms. There is a good reason to utilize the presented results in the future for the wind-energy potential valuation of a particular region and a wind-farm location choice as well as for making particular managerial decisions in the way of realizing commercial wind-energy projects.

  18. ANALISIS SISTEM USAHATANI TERPADU DI LAHAN PASANG SURUT UNTUK MENDUKUNG PENGEMBANGAN AGROINDUSTRI WILAYAH (An Analysis Integrated Farming System in Tidal Swamp Land to Support Regional Agroindustrial Development

    Directory of Open Access Journals (Sweden)

    Rustan Massinai

    2013-11-01

    Full Text Available Integrated farming system was directed to the efforts to lengthen biological cycle by optimizing the use of agriculture and livestock by-products. Each chain of cycle resulted a new product that has high economic value, so this system was expected to optimize the empowerment and use of marginal land in all regions. The objective of this research was to analyze integrated farming system in tidal swamp land to support agroindustry development in Pulang Pisau Regency of Central Kalimantan Province. This research was done with survey and interview method in Pulang Pisau Regency of Central Kalimantan Province. Primary data was collected from May 2011 to December 2011. The results showed that the management of agro-based enterprises integrated farming (rice, coffee and cattle obtained by the BC Ratio = 1.09, (greater than 1, IRR = 16,7% greater than the rate bank interest rate (12% and NPV values obtained for Rp 37,349,080 is positive (+, then the utilization of integrated agro-based farming in tidal land eligible to be developed. Agro-industry development opportunities based integrated farming in tidal land in the future have a chance to be applied in other areas, it can anticipate the growing number of people who have added each year. Keywords: Integrated farming system analysis, tidal swamp land, agroindustry   ABSTRAK Sistem pertanian terpadu diarahkan pada upaya memperpanjang siklus biologis dengan mengoptimalkan pemanfaatan hasil samping pertanian dan peternakan. Setiap mata rantai siklus menghasilkan produk baru yang memiliki nilai ekonomis tinggi, sehingga dengan sistem ini diharapkan pemberdayaan dan pemanfaatan lahan marginal di seluruh daerah dapat lebih dioptimalkan. Penelitian ini bertujuan untuk menganalisis sistem usahatani terpadu (Integrated Farming System di lahan pasang surut untuk mendukung pengembangan agroindustri di Kabupaten Pulang Pisau Provinsi Kalimantan Tengah. Penelitian ini dilaksanakan dengan metode survei dan wawancara

  19. Methods of Data Collection, Sample Processing, and Data Analysis for Edge-of-Field, Streamgaging, Subsurface-Tile, and Meteorological Stations at Discovery Farms and Pioneer Farm in Wisconsin, 2001-7

    Science.gov (United States)

    Stuntebeck, Todd D.; Komiskey, Matthew J.; Owens, David W.; Hall, David W.

    2008-01-01

    The University of Wisconsin (UW)-Madison Discovery Farms (Discovery Farms) and UW-Platteville Pioneer Farm (Pioneer Farm) programs were created in 2000 to help Wisconsin farmers meet environmental and economic challenges. As a partner with each program, and in cooperation with the Wisconsin Department of Natural Resources and the Sand County Foundation, the U.S. Geological Survey (USGS) Wisconsin Water Science Center (WWSC) installed, maintained, and operated equipment to collect water-quantity and water-quality data from 25 edge-offield, 6 streamgaging, and 5 subsurface-tile stations at 7 Discovery Farms and Pioneer Farm. The farms are located in the southern half of Wisconsin and represent a variety of landscape settings and crop- and animal-production enterprises common to Wisconsin agriculture. Meteorological stations were established at most farms to measure precipitation, wind speed and direction, air and soil temperature (in profile), relative humidity, solar radiation, and soil moisture (in profile). Data collection began in September 2001 and is continuing through the present (2008). This report describes methods used by USGS WWSC personnel to collect, process, and analyze water-quantity, water-quality, and meteorological data for edge-of-field, streamgaging, subsurface-tile, and meteorological stations at Discovery Farms and Pioneer Farm from September 2001 through October 2007. Information presented includes equipment used; event-monitoring and samplecollection procedures; station maintenance; sample handling and processing procedures; water-quantity, waterquality, and precipitation data analyses; and procedures for determining estimated constituent concentrations for unsampled runoff events.

  20. Organic farming at the farm level

    DEFF Research Database (Denmark)

    Jacobsen, Brian H.; Madsen, Niels; Ørum, Jens Erik

    The purpose of this report is to present possible impacts of new technology and changes in legislation on the profitability of different types of organic farms. The aim is also to look at both the current and future trends in the organic area in Denmark. The farm level analyses are carried out...... as part of a larger project entitled “Economic analyses of the future development of organic farming – effects at the field, farm, sector and macroeconomic level”. The project links effects at the field-level with analyses at the farm level. These effects are then used in sector and macroeconomic analyses...

  1. Between the Danube and the Deep Blue Sea: Zooarchaeological Meta-Analysis Reveals Variability in the Spread and Development of Neolithic Farming across the Western Balkans

    OpenAIRE

    Orton, David; Gaastra, Jane; Vander Linden, Marc

    2016-01-01

    The first spread of farming practices into Europe in the Neolithic period involves two distinct ‘streams’, respectively around the Mediterranean littoral and along the Danube corridor to central Europe. In this paper we explore variation in Neolithic animal use practices within and between these streams, focusing on the first region in which they are clearly distinct (and yet still in close proximity): the western Balkans. We employ rigorous and reproducible meta-analysis of all available zoo...

  2. Between the Danube and the Deep Blue Sea: zooarchaeological meta-analysis reveals variability in the spread and development of Neolithic farming across the western Balkans.

    OpenAIRE

    Orton, David Clive; Gaastra, Jane; Vander Linden, Marc

    2016-01-01

    The first spread of farming practices into Europe in the Neolithic period involves two distinct 'streams', respectively around the Mediterranean littoral and along the Danube corridor to central Europe. In this paper we explore variation in Neolithic animal use practices within and between these streams, focusing on the first region in which they are clearly distinct (and yet still in close proximity): the western Balkans. We employ rigorous and reproducible meta-analysis of all available zoo...

  3. Application of moiré technique on strain analysis in farm machinery elements

    Directory of Open Access Journals (Sweden)

    Kelen Cristiane Cardoso

    Full Text Available Development and optimization of projects for agricultural machinery involve the analysis of stress and strain. Moiré photomechanical techniques provide a complete displacement field of the specimen under test, and can aid in understanding the mechanical behavior of parts with complex geometry. Hybrid methods combine fringe patterns of displacement with distribution maps of stress and strain through concepts of the theory of elasticity. The objective of this work was to analyse the use of the shadow moiré technique in the qualitative determination of stress and strain distribution in geometrically complex machine elements. The results were compared with those from an electrical extensometer and a computer simulation. The results demonstrated that the shadow moire technique was quite reliable in analysing the mechanical behavior of geometrically complex machine elements.

  4. Organic Farming in Austria

    OpenAIRE

    Vogl, C.R.; Heß, J

    1999-01-01

    During the present decade, Austria has experienced a dramatic increase in organic farming among those countries that comprise the European Union (EU). For example, in 1992, approximately 2,000 farms were practicing organic, ecological, or biodynamic farming methodes. By 1997 the number of certified organic farms plus those in transition from conventional farming had increased 10-fold to some 20,000 farms. This represents almost 9% of the total farms in Austria and an area of 345,375 ha, or 10...

  5. Harmonic Aspects of Offshore Wind Farms

    DEFF Research Database (Denmark)

    Kocewiak, Lukasz Hubert; Bak, Claus Leth; Hjerrild, Jesper

    2010-01-01

    This paper presents the aim, the work and the findings of a PhD project entitled "Harmonics in Large Offshore Wind Farms". It focuses on the importance of harmonic analysis in order to obtain a better performance of future wind farms. The topic is investigated by the PhD project at Aalborg...... of offshore wind farm (OWF) systems....... University (AAU) and DONG Energy. The objective of the project is to improve and understand the nature of harmonic emission and propagation in wind farms (WFs), based on available information, measurement data and simulation tools. The aim of the project is to obtain validated models and analysis methods...

  6. A Framework for Statewide Analysis of Site Suitability, Energy Estimation, Life Cycle Costs, Financial Feasibility and Environmental Assessment of Wind Farms: A Case Study of Indiana

    Science.gov (United States)

    Kumar, Indraneel

    In the last decade, Midwestern states including Indiana have experienced an unprecedented growth in utility scale wind energy farms. For example, by end of 2013, Indiana had 1.5 GW of wind turbines installed, which could provide electrical energy for as many as half-a-million homes. However, there is no statewide systematic framework available for the evaluation of wind farm impacts on endangered species, required necessary setbacks and proximity standards to infrastructure, and life cycle costs. This research is guided to fill that gap and it addresses the following questions. How much land is suitable for wind farm siting in Indiana given the constraints of environmental, ecological, cultural, settlement, physical infrastructure and wind resource parameters? How much wind energy can be obtained? What are the life cycle costs and economic and financial feasibility? Is wind energy production and development in a state an emission free undertaking? The framework developed in the study is applied to a case study of Indiana. A fuzzy logic based AHP (Analytic Hierarchy Process) spatial site suitability analysis for wind energy is formulated. The magnitude of wind energy that could be sited and installed comprises input for economic and financial feasibility analysis for 20-25 years life cycle of wind turbines in Indiana. Monte Carlo simulation is used to account for uncertainty and nonlinearity in various costs and price parameters. Impacts of incentives and cost variables such as production tax credits, costs of capital, and economies of scale are assessed. Further, an economic input-output (IO) based environmental assessment model is developed for wind energy, where costs from financial feasibility analysis constitute the final demand vectors. This customized model for Indiana is used to assess emissions for criteria air pollutants, hazardous air pollutants and greenhouse gases (GHG) across life cycle events of wind turbines. The findings of the case study include

  7. Visualization and analysis of vortex-turbine intersections in wind farms.

    Science.gov (United States)

    Shafii, Sohail; Obermaier, Herald; Linn, Rodman; Koo, Eunmo; Hlawitschka, Mario; Garth, Christoph; Hamann, Bernd; Joy, Kenneth I

    2013-09-01

    Characterizing the interplay between the vortices and forces acting on a wind turbine's blades in a qualitative and quantitative way holds the potential for significantly improving large wind turbine design. This paper introduces an integrated pipeline for highly effective wind and force field analysis and visualization. We extract vortices induced by a turbine's rotation in a wind field, and characterize vortices in conjunction with numerically simulated forces on the blade surfaces as these vortices strike another turbine's blades downstream. The scientifically relevant issue to be studied is the relationship between the extracted, approximate locations on the blades where vortices strike the blades and the forces that exist in those locations. This integrated approach is used to detect and analyze turbulent flow that causes local impact on the wind turbine blade structure. The results that we present are based on analyzing the wind and force field data sets generated by numerical simulations, and allow domain scientists to relate vortex-blade interactions with power output loss in turbines and turbine life expectancy. Our methods have the potential to improve turbine design to save costs related to turbine operation and maintenance.

  8. Methane and nitrous oxide emissions under no-till farming in China: a meta-analysis.

    Science.gov (United States)

    Zhao, Xin; Liu, Sheng-Li; Pu, Chao; Zhang, Xiang-Qian; Xue, Jian-Fu; Zhang, Ran; Wang, Yu-Qiao; Lal, Rattan; Zhang, Hai-Lin; Chen, Fu

    2016-04-01

    No-till (NT) practices are among promising options toward adaptation and mitigation of climate change. However, the mitigation effectiveness of NT depends not only on its carbon sequestration potential but also on soil-derived CH4 and N2O emissions. A meta-analysis was conducted, using a dataset involving 136 comparisons from 39 studies in China, to identify site-specific factors which influence CH4 emission, CH4 uptake, and N2O emission under NT. Comparative treatments involved NT without residue retention (NT0), NT with residue retention (NTR), compared to plow tillage (PT) with residue removed (PT0). Overall, NT0 significantly decreased CH4 emission by ~30% (P climate factors (temperature and precipitation) and negatively (reducing emission) with experimental duration, suggesting that avoiding excess soil wetness and using NT for a long term could enhance the benefits of NT. Therefore, a thorough understanding of the conditions favoring greenhouse gas(es) reductions is essential to achieving climate change mitigation and advancing food security in China.

  9. Simplified Analysis of the Electric Power Losses for On-Shore Wind Farms Considering Weibull Distribution Parameters

    Directory of Open Access Journals (Sweden)

    Antonio Colmenar-Santos

    2014-10-01

    Full Text Available Electric power losses are constantly present during the service life of wind farms and must be considered in the calculation of the income arising from selling the produced electricity. It is typical to estimate the electrical losses in the design stage as those occurring when the wind farm operates at rated power, nevertheless, it is necessary to determine a method for checking if the actual losses meet the design requirements during the operation period. In this paper, we prove that the electric losses at rated power should not be considered as a reference level and a simple methodology will be developed to analyse and foresee the actual losses in a set period as a function of the wind resource in such period, defined according to the Weibull distribution, and the characteristics of the wind farm electrical infrastructure. This methodology facilitates a simple way, to determine in the design phase and to check during operation, the actual electricity losses.

  10. Utilization of FecJ F gene in developing commercial sheep farming : Economic analysis

    Directory of Open Access Journals (Sweden)

    Atien Priyanti

    1996-01-01

    Full Text Available An increase of income per capita in Indonesia is not followed by an increase of numbers and quality of lambs stock. To meet he high demand both for domestic and international markets, sheep production should be elaborated commercially . The Research Institute for Animal Production, Bogor has been able to identify the segregation of FecJ F on Javanese sheep, which has large effect on ovulation rate and number of litters born. The study was purposed to analyse the economic value of using Fed gene and the crossing with St. Croix rams to obtain high number of lamb production as well as high pre-weaning growth rate . Sixty seven Garut ewes were used and classified into three classes of singles, twins and triplets or mom: lambs born . From each litter type, ewes were classified according to the breed of rams to be used . Gamt and St . Croix rams were used to represent small and large size of sires, respectively . The parameters observed were litter size, birth weight, sex, feed consumption, weaning weight and average daily gain . Lambs and ewes were weighed on biweekly and monthly basis, respectively. An increasing of input for single born ewes was not followed by dramatic increase in its body weight at weaning, which means that the optimum level of production was not achieved. This resulted a shortening of farmers income. However, for ewes having twins an increase of input was followed by significantly increased of production level . Therefore, the economic analysis model used for ewes that carry the Fed gene showed an increase of income of Rp.30,691 .50, and Rp.24,319.82, per ewe per period for St. Croix sires and Garut sires, respectively .

  11. Modification and economy analysis for airtight dehydration in tank farm%罐区密闭脱水技术改造及经济性分析

    Institute of Scientific and Technical Information of China (English)

    范恺

    2016-01-01

    The safety of tank farm is crucial for oil and gas storage,so it is significant for airtight dehydration by use of current technologies.This paper describes the modification for airtight dehydration in tank farm along with related economic analysis to provide guidance for safety practices.%罐区安全直接威胁石油天然气的储存和运输,所以如何利用现有技术做好罐区密闭脱水处理具有重要意义。本文主要分析罐区密闭脱水技术的改造,并且对其经济型做一分析,目的就是要指导罐区的安全实践。

  12. 基于SWOT分析的自助型农场发展对策%Study on Development Strategy of DIY Farm Based on SWOT Analysis

    Institute of Scientific and Technical Information of China (English)

    付秀丽; 夏明营

    2011-01-01

    利用SWOT分析方法从优势、劣势、机遇和挑战4个方面对我国DIY农场的发展现状进行分析,并在此基础上提出了DIY农场可持续发展的对策,即:做好市场调研、充分利用资源、人性化管理、注重多样化和特色化服务和向大众化方向发展等.%SWOT analysis method is adopted to analyze current development situations of DIY farms in China from strengths, weaknesses, opportunities and threats. On the basis of analyses, we put forward strategies for sustainable development of DIY farms, including market investigation and research, full utilization of resources, human - based management, diverse and characteristic services, as well as low price and public - oriented development, etc.

  13. A cost-effectiveness analysis of live feeds in juvenile turbot Scophthalmus maximus (Linnaeus, 1758) farming: copepods versus Artemiapepods versus Artemiacopepods versus Artemiacopepods versus Artemia

    DEFF Research Database (Denmark)

    Gedefaw Abate, Tenaw; Nielsen, Rasmus; Nielsen, Max;

    2016-01-01

    , their current usage is quite limited. One of the reasons has been lack of economic knowledge concerning the cost-effectiveness of copepod application compared to other commonly used feed items such as the brine shrimp Artemia. In this study, a cost-effectiveness analysis is made on two alternative live feed...... but they are also economically a cost-effective alternative. Thus, a commercial use of copepods will significantly reduce the production costs for turbot. Furthermore, the unexploited economic potential can be utilized for the successful farming of other high-valued marine finfish species such as tuna, flounders...... items (copepods and Artemia) in juvenile turbot farming. Unit cost of production and profit are compared between the two feeding regimes using a unique data set from an existing turbot fry production facility in Denmark. The result reveals that copepods are not only biochemically superior...

  14. EPA RE-Powering America's Lands: Kansas City Municipal Farm Site -- Biomass Power Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Hunsberger, R.; Mosey, G.

    2015-01-01

    Through the RE-Powering America's Land initiative, the economic and technical feasibility of utilizing biomass at the Kansas City, Missouri, Municipal Farm site, a group of City-owned properties, is explored. The study that none of the technologies we reviewed--biomass heat, power and CHP--are economically viable options for the Municipal Farms site. However, if the site were to be developed around a future central biomass heating or CHP facility, biomass could be a good option for the site.

  15. EPA RE-Powering America's Lands: Kansas City Municipal Farm Site ₋ Biomass Power Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Hunsberger, R. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Mosey, G. [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2015-01-01

    Through the RE-Powering America's Land initiative, the economic and technical feasibility of utilizing biomass at the Kansas City, Missouri, Municipal Farm site, a group of City-owned properties, is explored. The study that none of the technologies we reviewed--biomass heat, power and CHP--are economically viable options for the Municipal Farms site. However, if the site were to be developed around a future central biomass heating or CHP facility, biomass could be a good option for the site.

  16. Exploring options for sustainable development of vegetable farms in South Uruguay

    OpenAIRE

    Dogliotti Moro, S.

    2003-01-01

    Keywords:land use system, modeling, farming system, future-oriented studies, vegetables,The sustainable development of vegetable farms in South Uruguay requires the development of farming systems that contribute to an increase of farmer's income to socially acceptable levels, to a reduction of soil erosion and to an improved physical and biological soil fertility.To aid the development of innovative farming systems we propose the use of model-based explorations for strategic re-design of the ...

  17. Model-based analysis of push-pull experiments in deep aquifers to predict large-scale impacts of CSG product water reinjection

    Science.gov (United States)

    Prommer, H.; Rathi, B.; Morris, R.; Helm, L.; Siade, A. J.; Davis, J. A.

    2015-12-01

    Over the next two decades coal seam gas production in Australia will require the management of large quantities of production water. For some sites the most viable option is to treat the water to a high standard via reverse osmosis (RO) and to inject it into deep aquifers. The design and implementation of these field-scale injection schemes requires a thorough understanding of the anticipated water quality changes within the target aquifers. In this study we use reactive transport modeling to integrate the results of a multi-scale hydrogeological and geochemical characterization, and to analyze a series of short-term push-pull experiments with the aim to better understand and reliably accurately predict long-term water quality evolution and the risks for mobilizing geogenic arsenic. Sequential push-pull tests with varying injectant compositions were undertaken, with concentrations recorded during the recovery phase reaching levels of up to 180 ppb above the ambient concentrations observed prior to the push-pull experiments. The highest As concentrations were observed in conjunction with the injection of aerobic water, while de-oxygenation of the injectant lowered As concentrations significantly. The lowest As concentrations were observed when the injectant was de-oxygenated and acid-amended. The latter was underpinned by complementary laboratory As sorption experiments using sediments from the target aquifer at various pHs, which, consistent with literature, show a decrease in As sorption affinity under alkaline conditions. In the model-based analysis of the experimental data, model parameters for each conceptual model variant were estimated through an automatic calibration procedure using Particle Swarm Optimization (PSO) whereby bromide and temperature data were used to constrain flow, solute and heat transport parameters. A series of predictive model scenarios were performed to determine whether advanced manipulation of the injectant composition is required.

  18. A model-based analysis of the clinical and economic impact of personalising P2Y12-receptor inhibition with platelet function testing in acute coronary syndrome patients.

    Science.gov (United States)

    Straub, Niels; Beivers, Andreas; Lenk, Ekaterina; Aradi, Daniel; Sibbing, Dirk

    2014-02-01

    Although some observational studies reported that the measured level of P2Y12-inhibition is predictive for thrombotic events, the clinical and economic benefit of incorporating PFT to personalize P2Y12-receptor directed antiplatelet treatment is unknown. Here, we assessed the clinical impact and cost-effectiveness of selecting P2Y12-inhibitors based on platelet function testing (PFT) in acute coronary syndrome (ACS) patients undergoing PCI. A decision model was developed to analyse the health economic effects of different strategies. PFT-guided treatment was compared with the three options of general clopidogrel, prasugrel or ticagrelor treatment. In the PFT arm, low responders to clopidogrel received prasugrel, while normal responders carried on with clopidogrel. The associated endpoints in the model were cardiovascular death, stent thrombosis and major bleeding. With a simulated cohort of 10,000 patients treated for one year, there were 93 less events in the PFT arm compared to general clopidogrel. In prasugrel and ticagrelor arms, 110 and 86 events were prevented compared to clopidogrel treatment, respectively. The total expected costs (including event costs, drug costs and PFT costs) for generic clopidogrel therapy were US$ 1,059/patient. In the PFT arm, total costs were US$ 1,494, while in the prasugrel and ticagrelor branches they were US$ 3,102 and US$ 3,771, respectively. The incremental-cost-effectiveness-ratio (ICER) was US$ 46,770 for PFT-guided therapy, US$ 185,783 for prasugrel and US$ 315,360 for ticagrelor. In this model-based analysis, a PFT-guided therapy may have fewer adverse outcomes than general treatment with clopidogrel and may be more cost-effective than prasugrel or ticagrelor treatment in ACS patients undergoing PCI.

  19. 基于序列分析的僵尸网络检测模型%Botnet detection model based on sequential analysis

    Institute of Scientific and Technical Information of China (English)

    范轶彦; 邬国锐; 陈监利; 汤博

    2011-01-01

    The contemporary IRC botnet detection methods are not suitable for botnet detection under infrequently command and control interactions. To detect small stealthy botnet, a botnet detection model based on sequential analysis is proposed, which is a complement to contemporary passive detection technologies. Several probe methods and detection algorithms are discussed considering response types of clients, and average round of detection is analyzed, only small portion of command and control interactions are observed to declare single or multiple IRC bot. The results show that botnet detection is completed in expected round under controlled false positive rate and false negative rate.%现有的IRC botnet检测技术不适合控制命令交互不频繁的botnet检测.为了实现小规模隐秘僵尸网络的检测,提出了一种基于序列分析的僵尸网络检测模型,对现有的被动检测技术进行补充.讨论了几种探测技术和检测算法,根据客户端响应类型选择检测算法,分析了平均检测轮数,只须观察少量的命令控制交互,能够对单个或多个IRC僵尸主机进行检测.实验结果表明,在保证误报率和漏报率的前提下该方法能在预定检测轮数内完成判定.

  20. Model Based Definition

    Science.gov (United States)

    Rowe, Sidney E.

    2010-01-01

    In September 2007, the Engineering Directorate at the Marshall Space Flight Center (MSFC) created the Design System Focus Team (DSFT). MSFC was responsible for the in-house design and development of the Ares 1 Upper Stage and the Engineering Directorate was preparing to deploy a new electronic Configuration Management and Data Management System with the Design Data Management System (DDMS) based upon a Commercial Off The Shelf (COTS) Product Data Management (PDM) System. The DSFT was to establish standardized CAD practices and a new data life cycle for design data. Of special interest here, the design teams were to implement Model Based Definition (MBD) in support of the Upper Stage manufacturing contract. It is noted that this MBD does use partially dimensioned drawings for auxiliary information to the model. The design data lifecycle implemented several new release states to be used prior to formal release that allowed the models to move through a flow of progressive maturity. The DSFT identified some 17 Lessons Learned as outcomes of the standards development, pathfinder deployments and initial application to the Upper Stage design completion. Some of the high value examples are reviewed.