Parametric sensitivity analysis for techno-economic parameters in Indian power sector
Mallah, Subhash; Bansal, N.K. [Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir 182 320 (India)
2011-03-15
Sensitivity analysis is a technique that evaluates the model response to changes in input assumptions. Due to uncertain prices of primary fuels in the world market, Government regulations for sustainability and various other technical parameters there is a need to analyze the techno-economic parameters which play an important role in policy formulations. This paper examines the variations in technical as well as economic parameters that can mostly affect the energy policy of India. MARKAL energy simulation model has been used to analyze the uncertainty in all techno-economic parameters. Various ranges of input parameters are adopted from previous studies. The results show that at lower discount rate coal is the least preferred technology and correspondingly carbon emission reduction. With increased gas and nuclear fuel prices they disappear from the allocations of energy mix. (author)
Vivancos, E; Healy, C; Mueller, F; Whalley, D
2001-05-09
Embedded systems often have real-time constraints. Traditional timing analysis statically determines the maximum execution time of a task or a program in a real-time system. These systems typically depend on the worst-case execution time of tasks in order to make static scheduling decisions so that tasks can meet their deadlines. Static determination of worst-case execution times imposes numerous restrictions on real-time programs, which include that the maximum number of iterations of each loop must be known statically. These restrictions can significantly limit the class of programs that would be suitable for a real-time embedded system. This paper describes work-in-progress that uses static timing analysis to aid in making dynamic scheduling decisions. For instance, different algorithms with varying levels of accuracy may be selected based on the algorithm's predicted worst-case execution time and the time allotted for the task. We represent the worst-case execution time of a function or a loop as a formula, where the unknown values affecting the execution time are parameterized. This parametric timing analysis produces formulas that can then be quickly evaluated at run-time so dynamic scheduling decisions can be made with little overhead. Benefits of this work include expanding the class of applications that can be used in a real-time system, improving the accuracy of dynamic scheduling decisions, and more effective utilization of system resources. This paper describes how static timing analysis can be used to aid in making dynamic scheduling decisions. The WCET of a function or a loop is represented as a formula, where the values affecting the execution time are parameterized. Such formulas can then be quickly evaluated at run-time so dynamic scheduling decisions can be made when scheduling a task or choosing algorithms within a task. Benefits of this parametric timing analysis include expanding the class of applications that can be used in a real
Choi, Jongseong
The performance of a hypersonic flight vehicle will depend on existing materials and fuels; this work presents the performance of the ideal scramjet engine for three different combustion chamber materials and three different candidate fuels. Engine performance is explored by parametric cycle analysis for the ideal scramjet as a function of material maximum service temperature and the lower heating value of jet engine fuels. The thermodynamic analysis is based on the Brayton cycle as similarly employed in describing the performance of the ramjet, turbojet, and fanjet ideal engines. The objective of this work is to explore material operating temperatures and fuel possibilities for the combustion chamber of a scramjet propulsion system to show how they relate to scramjet performance and the seven scramjet engine parameters: specific thrust, fuel-to-air ratio, thrust-specific fuel consumption, thermal efficiency, propulsive efficiency, overall efficiency, and thrust flux. The information presented in this work has not been done by others in the scientific literature. This work yields simple algebraic equations for scramjet performance which are similar to that of the ideal ramjet, ideal turbojet and ideal turbofan engines.
Planar Parametrization in Isogeometric Analysis
Gravesen, Jens; Evgrafov, Anton; Nguyen, Dang-Manh
2012-01-01
Before isogeometric analysis can be applied to solving a partial differential equation posed over some physical domain, one needs to construct a valid parametrization of the geometry. The accuracy of the analysis is affected by the quality of the parametrization. The challenge of computing...... and maintaining a valid geometry parametrization is particularly relevant in applications of isogemetric analysis to shape optimization, where the geometry varies from one optimization iteration to another. We propose a general framework for handling the geometry parametrization in isogeometric analysis and shape...... are suitable for our framework. The non-linear methods we consider are based on solving a constrained optimization problem numerically, and are divided into two classes, geometry-oriented methods and analysis-oriented methods. Their performance is illustrated through a few numerical examples....
Planar Parametrization in Isogeometric Analysis
Gravesen, Jens; Evgrafov, Anton; Nguyen, Dang-Manh;
2012-01-01
Before isogeometric analysis can be applied to solving a partial differential equation posed over some physical domain, one needs to construct a valid parametrization of the geometry. The accuracy of the analysis is affected by the quality of the parametrization. The challenge of computing...... and maintaining a valid geometry parametrization is particularly relevant in applications of isogemetric analysis to shape optimization, where the geometry varies from one optimization iteration to another. We propose a general framework for handling the geometry parametrization in isogeometric analysis and shape...... are suitable for our framework. The non-linear methods we consider are based on solving a constrained optimization problem numerically, and are divided into two classes, geometry-oriented methods and analysis-oriented methods. Their performance is illustrated through a few numerical examples....
Parametric functional principal component analysis.
Sang, Peijun; Wang, Liangliang; Cao, Jiguo
2017-03-10
Functional principal component analysis (FPCA) is a popular approach in functional data analysis to explore major sources of variation in a sample of random curves. These major sources of variation are represented by functional principal components (FPCs). Most existing FPCA approaches use a set of flexible basis functions such as B-spline basis to represent the FPCs, and control the smoothness of the FPCs by adding roughness penalties. However, the flexible representations pose difficulties for users to understand and interpret the FPCs. In this article, we consider a variety of applications of FPCA and find that, in many situations, the shapes of top FPCs are simple enough to be approximated using simple parametric functions. We propose a parametric approach to estimate the top FPCs to enhance their interpretability for users. Our parametric approach can also circumvent the smoothing parameter selecting process in conventional nonparametric FPCA methods. In addition, our simulation study shows that the proposed parametric FPCA is more robust when outlier curves exist. The parametric FPCA method is demonstrated by analyzing several datasets from a variety of applications. © 2017, The International Biometric Society.
Digital spectral analysis parametric, non-parametric and advanced methods
Castanié, Francis
2013-01-01
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature.The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models.An entire chapter is devoted to the non-parametric methods most widely used in industry.High resolution methods a
Using non-parametric methods in econometric production analysis
Czekaj, Tomasz Gerard; Henningsen, Arne
2012-01-01
Econometric estimation of production functions is one of the most common methods in applied economic production analysis. These studies usually apply parametric estimation techniques, which obligate the researcher to specify a functional form of the production function of which the Cobb-Douglas a......Econometric estimation of production functions is one of the most common methods in applied economic production analysis. These studies usually apply parametric estimation techniques, which obligate the researcher to specify a functional form of the production function of which the Cobb...... parameter estimates, but also in biased measures which are derived from the parameters, such as elasticities. Therefore, we propose to use non-parametric econometric methods. First, these can be applied to verify the functional form used in parametric production analysis. Second, they can be directly used...... to estimate production functions without the specification of a functional form. Therefore, they avoid possible misspecification errors due to the use of an unsuitable functional form. In this paper, we use parametric and non-parametric methods to identify the optimal size of Polish crop farms...
Using non-parametric methods in econometric production analysis
Czekaj, Tomasz Gerard; Henningsen, Arne
2012-01-01
by investigating the relationship between the elasticity of scale and the farm size. We use a balanced panel data set of 371~specialised crop farms for the years 2004-2007. A non-parametric specification test shows that neither the Cobb-Douglas function nor the Translog function are consistent with the "true......Econometric estimation of production functions is one of the most common methods in applied economic production analysis. These studies usually apply parametric estimation techniques, which obligate the researcher to specify a functional form of the production function of which the Cobb...... parameter estimates, but also in biased measures which are derived from the parameters, such as elasticities. Therefore, we propose to use non-parametric econometric methods. First, these can be applied to verify the functional form used in parametric production analysis. Second, they can be directly used...
Using non-parametric methods in econometric production analysis
Czekaj, Tomasz Gerard; Henningsen, Arne
-Douglas function nor the Translog function are consistent with the “true” relationship between the inputs and the output in our data set. We solve this problem by using non-parametric regression. This approach delivers reasonable results, which are on average not too different from the results of the parametric......Econometric estimation of production functions is one of the most common methods in applied economic production analysis. These studies usually apply parametric estimation techniques, which obligate the researcher to specify the functional form of the production function. Most often, the Cobb...... results—including measures that are of interest of applied economists, such as elasticities. Therefore, we propose to use nonparametric econometric methods. First, they can be applied to verify the functional form used in parametric estimations of production functions. Second, they can be directly used...
None
1980-06-01
The Energy Policy and Conservation Act (EPCA) mandated that minimum energy efficiency standards be established for classes of refrigerators and refrigerator-freezers, freezers, clothes dryers, water heaters, room air conditioners, home heating equipment, kitchen ranges and ovens, central air conditioners, and furnaces. EPCA requires that standards be designed to achieve the maximum improvement in energy efficiency that is technologically feasible and economically justified. Following the introductory chapter, Chapter Two describes the methodology used in the economic analysis and its relationship to legislative criteria for consumer product efficiency assessment; details how the CPES Value Model systematically compared and evaluated the economic impacts of regulation on the consumer, manufacturer and Nation. Chapter Three briefly displays the results of the analysis and lists the proposed performance standards by product class. Chapter Four describes the reasons for developing a baseline forecast, characterizes the baseline scenario from which regulatory impacts were calculated and summarizes the primary models, data sources and assumptions used in the baseline formulations. Chapter Five summarizes the methodology used to calculate regulatory impacts; describes the impacts of energy performance standards relative to the baseline discussed in Chapter Four. Also discussed are regional standards and other program alternatives to performance standards. Chapter Six describes the procedure for balancing consumer, manufacturer, and national impacts to select standard levels. Details of models and data bases used in the analysis are included in Appendices A through K.
Parametric statistical change point analysis
Chen, Jie
2000-01-01
This work is an in-depth study of the change point problem from a general point of view and a further examination of change point analysis of the most commonly used statistical models Change point problems are encountered in such disciplines as economics, finance, medicine, psychology, signal processing, and geology, to mention only several The exposition is clear and systematic, with a great deal of introductory material included Different models are presented in each chapter, including gamma and exponential models, rarely examined thus far in the literature Other models covered in detail are the multivariate normal, univariate normal, regression, and discrete models Extensive examples throughout the text emphasize key concepts and different methodologies are used, namely the likelihood ratio criterion, and the Bayesian and information criterion approaches A comprehensive bibliography and two indices complete the study
Parametric Methods for Order Tracking Analysis
Jensen, Tobias Lindstrøm; Nielsen, Jesper Kjær
2017-01-01
Order tracking analysis is often used to find the critical speeds at which structural resonances are excited by a rotating machine. Typically, order tracking analysis is performed via non-parametric methods. In this report, however, we demonstrate some of the advantages of using a parametric method...... for order tracking analysis. Specifically, we show that we get a much better time and frequency resolution, obtain a much more robust and accurate estimate of the RPM profile, and are able to perform accurate order tracking analysis even without the tachometer signal....
A Parametric Investigation of the Economics of Space Tourism
Parkinson, B.
In comparison with other large scale Space projects, “Space Tourism” requires only one development - a suitable, economic, Reusable Launch Vehicle (RLV). The high flight rates associated with “tourism” are expected to make RLV operations more economically attractive. However, currently projected RLV launch prices appear well above those affordable by tourists. A study of the economics of Space Tourism has been made using an Integrated Parametric System Model to assess potential future RLV performance and costs. The estimated costs per passenger for “first generation” RLVs are still above estimates for an acceptable market price per ticket, but are not an order of magnitude different. Technology improvements, particularly engine technology, can be expected to make reductions in the ticket cost. Repayment of non-recurring (development) costs can form up to 50% of the costs per flight, but an initial market might be started using “second hand” vehicles developed for other purposes. Finally, the slow but steady growth of “real income” over an extended period can be expected to make what are now unaffordable prices for a ride into orbit more affordable in 20 - 30 years time.
Robustness analysis for real parametric uncertainty
Sideris, Athanasios
1989-01-01
Some key results in the literature in the area of robustness analysis for linear feedback systems with structured model uncertainty are reviewed. Some new results are given. Model uncertainty is described as a combination of real uncertain parameters and norm bounded unmodeled dynamics. Here the focus is on the case of parametric uncertainty. An elementary and unified derivation of the celebrated theorem of Kharitonov and the Edge Theorem is presented. Next, an algorithmic approach for robustness analysis in the cases of multilinear and polynomic parametric uncertainty (i.e., the closed loop characteristic polynomial depends multilinearly and polynomially respectively on the parameters) is given. The latter cases are most important from practical considerations. Some novel modifications in this algorithm which result in a procedure of polynomial time behavior in the number of uncertain parameters is outlined. Finally, it is shown how the more general problem of robustness analysis for combined parametric and dynamic (i.e., unmodeled dynamics) uncertainty can be reduced to the case of polynomic parametric uncertainty, and thus be solved by means of the algorithm.
Underhill, Gary K.; Carlson, Ronald A.; Clendinning, William A.; Erdos, Jozsef; Gault, John; Hall, James W.; Jones, Robert L.; Michael, Herbert K.; Powell, Paul H.; Riemann, Carl F.; Rios-Castellon, Lorenzo; Shepherd, Burchard P.; Wilson, John S.
1976-01-01
The purpose of this chapter is to present an economic evaluation of electric power production from geopressured geothermal resources in Texas. An effort has been made to obtain the most realistic data concerning the investment and production costs of a geothermal power generation system, sited on a model geopressured geothermal resource.
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...
Using non-parametric methods in econometric production analysis
Czekaj, Tomasz Gerard; Henningsen, Arne
Econometric estimation of production functions is one of the most common methods in applied economic production analysis. These studies usually apply parametric estimation techniques, which obligate the researcher to specify the functional form of the production function. Most often, the Cobb......-Douglas or the Translog production function is used. However, the specification of a functional form for the production function involves the risk of specifying a functional form that is not similar to the “true” relationship between the inputs and the output. This misspecification might result in biased estimation...... results—including measures that are of interest of applied economists, such as elasticities. Therefore, we propose to use nonparametric econometric methods. First, they can be applied to verify the functional form used in parametric estimations of production functions. Second, they can be directly used...
Adrian Ioana; Tiberiu Socaciu
2013-01-01
The article presents specific aspects of management and models for economic analysis. Thus, we present the main types of economic analysis: statistical analysis, dynamic analysis, static analysis, mathematical analysis, psychological analysis. Also we present the main object of the analysis: the technological activity analysis of a company, the analysis of the production costs, the economic activity analysis of a company, the analysis of equipment, the analysis of labor productivity, the anal...
Large-scale parametric survival analysis.
Mittal, Sushil; Madigan, David; Cheng, Jerry Q; Burd, Randall S
2013-10-15
Survival analysis has been a topic of active statistical research in the past few decades with applications spread across several areas. Traditional applications usually consider data with only a small numbers of predictors with a few hundreds or thousands of observations. Recent advances in data acquisition techniques and computation power have led to considerable interest in analyzing very-high-dimensional data where the number of predictor variables and the number of observations range between 10(4) and 10(6). In this paper, we present a tool for performing large-scale regularized parametric survival analysis using a variant of the cyclic coordinate descent method. Through our experiments on two real data sets, we show that application of regularized models to high-dimensional data avoids overfitting and can provide improved predictive performance and calibration over corresponding low-dimensional models.
mu analysis with real parametric uncertainty
Young, Peter M.; Newlin, Matthew P.; Doyle, John C.
1991-01-01
The authors give a broad overview, from a LFT (linear fractional transformation)/mu perspective, of some of the theoretical and practical issues associated with robustness in the presence of real parametric uncertainty, with a focus on computation. Recent results on the properties of mu in the mixed case are reviewed, including issues of NP completeness, continuity, computation of bounds, the equivalence of mu and its bounds, and some direct comparisons with Kharitonov-type analysis methods. In addition, some advances in the computational aspects of the problem, including a novel branch and bound algorithm, are briefly presented together with numerical results. The results suggest that while the mixed mu problem may have inherently combinatoric worst-case behavior, practical algorithms with modest computational requirements can be developed for problems of medium size (less than 100 parameters) that are of engineering interest.
Louis Kaplow; Steven Shavell
2005-01-01
This entry for the forthcoming The New Palgrave Dictionary of Economics (Second Edition) surveys the economic analysis of five primary fields of law: property law; liability for accidents; contract law; litigation; and public enforcement and criminal law. It also briefly considers some criticisms of the economic analysis of law.
Supercritical extraction of oleaginous: parametric sensitivity analysis
Santos M.M.
2000-01-01
Full Text Available The economy has become universal and competitive, thus the industries of vegetable oil extraction must advance in the sense of minimising production costs and, at the same time, generating products that obey more rigorous patterns of quality, including solutions that do not damage the environment. The conventional oilseed processing uses hexane as solvent. However, this solvent is toxic and highly flammable. Thus the search of substitutes for hexane in oleaginous extraction process has increased in the last years. The supercritical carbon dioxide is a potential substitute for hexane, but it is necessary more detailed studies to understand the phenomena taking place in such process. Thus, in this work a diffusive model for semi-continuous (batch for the solids and continuous for the solvent isothermal and isobaric extraction process using supercritical carbon dioxide is presented and submitted to a parametric sensitivity analysis by means of a factorial design in two levels. The model parameters were disturbed and their main effects analysed, so that it is possible to propose strategies for high performance operation.
A general framework for parametric survival analysis.
Crowther, Michael J; Lambert, Paul C
2014-12-30
Parametric survival models are being increasingly used as an alternative to the Cox model in biomedical research. Through direct modelling of the baseline hazard function, we can gain greater understanding of the risk profile of patients over time, obtaining absolute measures of risk. Commonly used parametric survival models, such as the Weibull, make restrictive assumptions of the baseline hazard function, such as monotonicity, which is often violated in clinical datasets. In this article, we extend the general framework of parametric survival models proposed by Crowther and Lambert (Journal of Statistical Software 53:12, 2013), to incorporate relative survival, and robust and cluster robust standard errors. We describe the general framework through three applications to clinical datasets, in particular, illustrating the use of restricted cubic splines, modelled on the log hazard scale, to provide a highly flexible survival modelling framework. Through the use of restricted cubic splines, we can derive the cumulative hazard function analytically beyond the boundary knots, resulting in a combined analytic/numerical approach, which substantially improves the estimation process compared with only using numerical integration. User-friendly Stata software is provided, which significantly extends parametric survival models available in standard software. Copyright © 2014 John Wiley & Sons, Ltd.
Parametric versus non-parametric simulation
Dupeux, Bérénice; Buysse, Jeroen
2014-01-01
Most of ex-ante impact assessment policy models have been based on a parametric approach. We develop a novel non-parametric approach, called Inverse DEA. We use non parametric efficiency analysis for determining the farm’s technology and behaviour. Then, we compare the parametric approach and the Inverse DEA models to a known data generating process. We use a bio-economic model as a data generating process reflecting a real world situation where often non-linear relationships exist. Results s...
Productivity improvement in Korean rice farming: parametric and non-parametric analysis
Kwon, Oh Sang; Lee, Hyunok
2004-01-01
The published empirical literature on frontier production functions is dominated by two broadly defined estimation approaches – parametric and non‐parametric. Using panel data on Korean rice production, parametric and non‐parametric production frontiers are estimated and compared with estimated productivity. The non‐parametric approach employs two alternative measures based on the Malmquist index and the Luenberger indicator, while the parametric approach is closely related to the time‐varian...
Lottery spending: a non-parametric analysis.
Garibaldi, Skip; Frisoli, Kayla; Ke, Li; Lim, Melody
2015-01-01
We analyze the spending of individuals in the United States on lottery tickets in an average month, as reported in surveys. We view these surveys as sampling from an unknown distribution, and we use non-parametric methods to compare properties of this distribution for various demographic groups, as well as claims that some properties of this distribution are constant across surveys. We find that the observed higher spending by Hispanic lottery players can be attributed to differences in education levels, and we dispute previous claims that the top 10% of lottery players consistently account for 50% of lottery sales.
Lottery spending: a non-parametric analysis.
Skip Garibaldi
Full Text Available We analyze the spending of individuals in the United States on lottery tickets in an average month, as reported in surveys. We view these surveys as sampling from an unknown distribution, and we use non-parametric methods to compare properties of this distribution for various demographic groups, as well as claims that some properties of this distribution are constant across surveys. We find that the observed higher spending by Hispanic lottery players can be attributed to differences in education levels, and we dispute previous claims that the top 10% of lottery players consistently account for 50% of lottery sales.
Parametric analysis of open plan offices
Nogueira, Flavia F.; Viveiros, Elvira B.
2002-11-01
The workspace has been undergoing many changes. Open plan offices are being favored instead of ones of traditional design. In such offices, workstations are separated by partial height barriers, which allow a certain degree of visual privacy and some sound insulation. The challenge in these offices is to provide acoustic privacy for the workstations. Computer simulation was used as a tool for this investigation. Two simple models were generated and their results compared to experimental data measured in two real offices. After validating the approach, models with increasing complexity were generated. Lastly, an ideal office with 64 workstations was created and a parametric survey performed. Nine design parameters were taken as variables and the results are discussed in terms of sound pressure level, in octave bands, and intelligibility index.
Andrea Furková
2007-06-01
Full Text Available This paper explores the aplication of parametric and non-parametric benchmarking methods in measuring cost efficiency of Slovak and Czech electricity distribution companies. We compare the relative cost efficiency of Slovak and Czech distribution companies using two benchmarking methods: the non-parametric Data Envelopment Analysis (DEA and the Stochastic Frontier Analysis (SFA as the parametric approach. The first part of analysis was based on DEA models. Traditional cross-section CCR and BCC model were modified to cost efficiency estimation. In further analysis we focus on two versions of stochastic frontier cost functioin using panel data: MLE model and GLS model. These models have been applied to an unbalanced panel of 11 (Slovakia 3 and Czech Republic 8 regional electricity distribution utilities over a period from 2000 to 2004. The differences in estimated scores, parameters and ranking of utilities were analyzed. We observed significant differences between parametric methods and DEA approach.
Parametric Resonance in the Early Universe - A Fitting Analysis
Figueroa, Daniel G.
2017-01-01
Particle production via parametric resonance in the early Universe, is a non-perturbative, non-linear and out-of-equilibrium phenomenon. Although it is a well studied topic, whenever a new scenario exhibits parametric resonance, a full re-analysis is normally required. To avoid this tedious task, many works present often only a simplified linear treatment of the problem. In order to surpass this circumstance in the future, we provide a fitting analysis of parametric resonance through all its relevant stages: initial linear growth, non-linear evolution, and relaxation towards equilibrium. Using lattice simulations in an expanding grid in $3+1$ dimensions, we parametrise the dynamics' outcome scanning over the relevant ingredients: role of the oscillatory field, particle coupling strength, initial conditions, and background expansion rate. We emphasise the inaccuracy of the linear calculation of the decay time of the oscillatory field, and propose a more appropriate definition of this scale based on the subsequ...
Greenberg, Marc W.; Laing, William
2013-01-01
An Economic Analysis (EA) is a systematic approach to the problem of choosing the best method of allocating scarce resources to achieve a given objective. An EA helps guide decisions on the "worth" of pursuing an action that departs from status quo ... an EA is the crux of decision-support.
Parametric resonance in the early Universe—a fitting analysis
Figueroa, Daniel G.; Torrentí, Francisco
2017-02-01
Particle production via parametric resonance in the early Universe, is a non-perturbative, non-linear and out-of-equilibrium phenomenon. Although it is a well studied topic, whenever a new scenario exhibits parametric resonance, a full re-analysis is normally required. To avoid this tedious task, many works present often only a simplified linear treatment of the problem. In order to surpass this circumstance in the future, we provide a fitting analysis of parametric resonance through all its relevant stages: initial linear growth, non-linear evolution, and relaxation towards equilibrium. Using lattice simulations in an expanding grid in 3+1 dimensions, we parametrize the dynamics' outcome scanning over the relevant ingredients: role of the oscillatory field, particle coupling strength, initial conditions, and background expansion rate. We emphasize the inaccuracy of the linear calculation of the decay time of the oscillatory field, and propose a more appropriate definition of this scale based on the subsequent non-linear dynamics. We provide simple fits to the relevant time scales and particle energy fractions at each stage. Our fits can be applied to post-inflationary preheating scenarios, where the oscillatory field is the inflaton, or to spectator-field scenarios, where the oscillatory field can be e.g. a curvaton, or the Standard Model Higgs.
PARAMETRIC ANALYSIS OF THE DYNAMIC PROPERTIES OF ...
static and dynamic analysis of structures [2, 3,4]. ... than by the expected complexity of their behavior. This fact has been .... The computational cost of extracting the vibration modes can be reduced by applying one of the condensation.
Economic Analysis of Ransomware
Hernandez-Castro, Julio; Cartwright, Edward; Stepanova, Anna
2017-01-01
We present in this work an economic analysis of ransomware, with relevant data from Cryptolocker, CryptoWall, TeslaCrypt and other major strands. We include a detailed study of the impact that different price discrimination strategies can have on the success of a ransomware family, examining uniform pricing, optimal price discrimination and bargaining strategies and analysing their advantages and limitations. In addition, we present results of a preliminary survey that can helps in estimating...
Economic policy optimization based on both one stochastic model and the parametric control theory
Ashimov, Abdykappar; Borovskiy, Yuriy; Onalbekov, Mukhit
2016-06-01
A nonlinear dynamic stochastic general equilibrium model with financial frictions is developed to describe two interacting national economies in the environment of the rest of the world. Parameters of nonlinear model are estimated based on its log-linearization by the Bayesian approach. The nonlinear model is verified by retroprognosis, estimation of stability indicators of mappings specified by the model, and estimation the degree of coincidence for results of internal and external shocks' effects on macroeconomic indicators on the basis of the estimated nonlinear model and its log-linearization. On the base of the nonlinear model, the parametric control problems of economic growth and volatility of macroeconomic indicators of Kazakhstan are formulated and solved for two exchange rate regimes (free floating and managed floating exchange rates)
Trend Analysis of Golestan's Rivers Discharges Using Parametric and Non-parametric Methods
Mosaedi, Abolfazl; Kouhestani, Nasrin
2010-05-01
One of the major problems in human life is climate changes and its problems. Climate changes will cause changes in rivers discharges. The aim of this research is to investigate the trend analysis of seasonal and yearly rivers discharges of Golestan province (Iran). In this research four trend analysis method including, conjunction point, linear regression, Wald-Wolfowitz and Mann-Kendall, for analyzing of river discharges in seasonal and annual periods in significant level of 95% and 99% were applied. First, daily discharge data of 12 hydrometrics stations with a length of 42 years (1965-2007) were selected, after some common statistical tests such as, homogeneity test (by applying G-B and M-W tests), the four mentioned trends analysis tests were applied. Results show that in all stations, for summer data time series, there are decreasing trends with a significant level of 99% according to Mann-Kendall (M-K) test. For autumn time series data, all four methods have similar results. For other periods, the results of these four tests were more or less similar together. While, for some stations the results of tests were different. Keywords: Trend Analysis, Discharge, Non-parametric methods, Wald-Wolfowitz, The Mann-Kendall test, Golestan Province.
Diagnostics and future evolution analysis of the two parametric models
Yang, Guang; Meng, Xinhe
2016-01-01
In this paper, we apply three diagnostics including $Om$, Statefinder hierarchy and the growth rate of perturbations into discriminating the two parametric models for the effective pressure with the $\\Lambda$CDM model. By using the $Om$ diagnostic, we find that both the model 1 and the model 2 can be hardly distinguished from each other as well as the $\\Lambda$CDM model in terms of 68\\% confidence level. As a supplement, by using the Statefinder hierarchy diagnostics and the growth rate of perturbations, we discover that not only can our two parametric models be well distinguished from $\\Lambda$CDM model, but also, by comparing with $Om$ diagnostic, the model 1 and the model 2 can be distinguished better from each other. In addition, we also explore the fate of universe evolution of our two models by means of the rip analysis.
IDEAL trial: economic analysis
Simona de Portu
2008-01-01
Full Text Available Introduction: the IDEAL (“High-dose atorvastatin vs usual-dose simvastatin for secondary prevention after myocardial infarction” study was carried out to compare intensive lowering of low-density lipoprotein (LDL-cholesterol using the highest recommended dose of atorvastatin 80 mg with simvastatin 20 mg. Aim: our aim was to investigate the economic consequence of high dose of atorvastatin vs usual-dose of simvastatin in reducing major coronary events in patients with a history of acute myocardial infarction (AMI. Methods: the analysis is based on clinical outcome data from the IDEAL study. We conducted a cost-effectiveness analysis, comparing high dose of atorvastatin (80 mg/die versus usual-dose of simvastatin (20 mg/die in the perspective of the Italian National Health Service. We identified and quantified medical costs: drug costs according to the Italian National Therapeutic Formulary and hospitalizations were quantified based on the Italian National Health Service tariffs (2008. Effects were measured in terms of morbidity reduction (frequency of hospitalizations. We considered an observation period of 4.8 years. The costs borne after the first 12 months were discounted using an annual rate of 3%. We conducted one and multi-way sensitivity analyses on unit cost and effectiveness. Results: the cost of atorvastatin therapy over the 4.8 years period amounted to approximately 2.4 millions euro per 1,000 patients. The total cost of atorvastatin high dose was about 3.9 millions euro, the incremental cost per patient free from event is 31.176,03 euro. Discussion: this evaluation found that atorvastatin therapy is cost-effective. Results were sensitive to either clinical or economic variables.
Real analysis with economic applications
Ok, Efe A
2011-01-01
There are many mathematics textbooks on real analysis, but they focus on topics not readily helpful for studying economic theory or they are inaccessible to most graduate students of economics. Real Analysis with Economic Applications aims to fill this gap by providing an ideal textbook and reference on real analysis tailored specifically to the concerns of such students. The emphasis throughout is on topics directly relevant to economic theory. In addition to addressing the usual topics of real analysis, this book discusses the elements of order theory, convex analysis, optimizatio
Parametric and experimental analysis using a power flow approach
Cuschieri, J. M.
1990-01-01
A structural power flow approach for the analysis of structure-borne transmission of vibrations is used to analyze the influence of structural parameters on transmitted power. The parametric analysis is also performed using the Statistical Energy Analysis approach and the results are compared with those obtained using the power flow approach. The advantages of structural power flow analysis are demonstrated by comparing the type of results that are obtained by the two analytical methods. Also, to demonstrate that the power flow results represent a direct physical parameter that can be measured on a typical structure, an experimental study of structural power flow is presented. This experimental study presents results for an L shaped beam for which an available solution was already obtained. Various methods to measure vibrational power flow are compared to study their advantages and disadvantages.
Schuitemaker, Alie; van Berckel, Bart N M; Kropholler, Marc A; Veltman, Dick J; Scheltens, Philip; Jonker, Cees; Lammertsma, Adriaan A; Boellaard, Ronald
2007-05-01
(R)-[11C]PK11195 has been used for quantifying cerebral microglial activation in vivo. In previous studies, both plasma input and reference tissue methods have been used, usually in combination with a region of interest (ROI) approach. Definition of ROIs, however, can be labourious and prone to interobserver variation. In addition, results are only obtained for predefined areas and (unexpected) signals in undefined areas may be missed. On the other hand, standard pharmacokinetic models are too sensitive to noise to calculate (R)-[11C]PK11195 binding on a voxel-by-voxel basis. Linearised versions of both plasma input and reference tissue models have been described, and these are more suitable for parametric imaging. The purpose of this study was to compare the performance of these plasma input and reference tissue parametric methods on the outcome of statistical parametric mapping (SPM) analysis of (R)-[11C]PK11195 binding. Dynamic (R)-[11C]PK11195 PET scans with arterial blood sampling were performed in 7 younger and 11 elderly healthy subjects. Parametric images of volume of distribution (Vd) and binding potential (BP) were generated using linearised versions of plasma input (Logan) and reference tissue (Reference Parametric Mapping) models. Images were compared at the group level using SPM with a two-sample t-test per voxel, both with and without proportional scaling. Parametric BP images without scaling provided the most sensitive framework for determining differences in (R)-[11C]PK11195 binding between younger and elderly subjects. Vd images could only demonstrate differences in (R)-[11C]PK11195 binding when analysed with proportional scaling due to intersubject variation in K1/k2 (blood-brain barrier transport and non-specific binding).
Parametric sensitivity analysis for temperature control in outdoor photobioreactors.
Pereira, Darlan A; Rodrigues, Vinicius O; Gómez, Sonia V; Sales, Emerson A; Jorquera, Orlando
2013-09-01
In this study a critical analysis of input parameters on a model to describe the broth temperature in flat plate photobioreactors throughout the day is carried out in order to assess the effect of these parameters on the model. Using the design of experiment approach, variation of selected parameters was introduced and the influence of each parameter on the broth temperature was evaluated by a parametric sensitivity analysis. The results show that the major influence on the broth temperature is that from the reactor wall and the shading factor, both related to the direct and reflected solar irradiation. Other parameter which play an important role on the temperature is the distance between plates. This study provides information to improve the design and establish the most appropriate operating conditions for the cultivation of microalgae in outdoor systems.
Desiccant Enhanced Evaporative Air Conditioning: Parametric Analysis and Design; Preprint
Woods, J.; Kozubal, E.
2012-10-01
This paper presents a parametric analysis using a numerical model of a new concept in desiccant and evaporative air conditioning. The concept consists of two stages: a liquid desiccant dehumidifier and a dew-point evaporative cooler. Each stage consists of stacked air channel pairs separated by a plastic sheet. In the first stage, a liquid desiccant film removes moisture from the process (supply-side) air through a membrane. An evaporatively-cooled exhaust airstream on the other side of the plastic sheet cools the desiccant. The second-stage indirect evaporative cooler sensibly cools the dried process air. We analyze the tradeoff between device size and energy efficiency. This tradeoff depends strongly on process air channel thicknesses, the ratio of first-stage to second-stage area, and the second-stage exhaust air flow rate. A sensitivity analysis reiterates the importance of the process air boundary layers and suggests a need for increasing airside heat and mass transfer enhancements.
Economic capacity estimation in fisheries: A non-parametric ray approach
Pascoe, Sean; Tingley, Diana [Centre for the Economics and Management of Aquatic Resources (CEMARE), University of Portsmouth, Boathouse No. 6, College Road, HM Naval Base, Portsmouth PO1 3LJ (United Kingdom)
2006-05-15
Data envelopment analysis (DEA) has generally been adopted as the most appropriate methodology for the estimation of fishing capacity, particularly in multi-species fisheries. More recently, economic DEA methods have been developed that incorporate the costs and benefits of increasing capacity utilisation. One such method was applied to estimate the capacity utilisation and output of the Scottish fleet. By comparing the results of the economic and traditional DEA approaches, it can be concluded that many fleet segments are operating at or close to full capacity, and that the vessels defining the frontier are operating consistent with profit maximising behaviour. (author)
Saeed Banihashemi
2015-12-01
Full Text Available In line with the growing global trend toward energy efficiency in buildings, this paper aims to first; investigate the energy performance of double-glazed windows in different climates and second; analyze the most dominant used parametric and non-parametric tests in dimension reduction for simulating this component. A four-story building representing the conventional type of residential apartments for four climates of cold, temperate, hot-arid and hot-humid was selected for simulation. 10 variables of U-factor, SHGC, emissivity, visible transmittance, monthly average dry bulb temperature, monthly average percent humidity, monthly average wind speed, monthly average direct solar radiation, monthly average diffuse solar radiation and orientation constituted the parameters considered in the calculation of cooling and heating loads of the case. Design of Experiment and Principal Component Analysis methods were applied to find the most significant factors and reduction dimension of initial variables. It was observed that in two climates of temperate and hot-arid, using double glazed windows was beneficial in both cold and hot months whereas in cold and hot-humid climates where heating and cooling loads are dominant respectively, they were advantageous in only those dominant months. Furthermore, an inconsistency was revealed between parametric and non-parametric tests in terms of identifying the most significant variables.
Parametric Yield Analysis of Mems via Statistical Methods
Vudathu, S -P; Laur, Rainer; Kubalinska, D; Bunse-Gerstner, A
2007-01-01
This paper considers a developing theory on the effects of inevitable process variations during the fabrication of MEMS and other microsystems. The effects on the performance and design yield of the microsystems devices are analyzed and presented. A novel methodology in the design cycle of MEMS and other microsystems is briefly introduced. This paper describes the initial steps of this methodology that is aimed at counteracting the parametric variations in the product cycle of microsystems. It is based on a concept of worst-case analysis that has proven successful in the parent IC technology. Issues ranging from the level of abstraction of the microsystem models to the availability of such models are addressed
Parametric analysis of architectural volumes through genetic algorithms
Pedro Salcedo Lagos
2015-03-01
Full Text Available During the last time, architectural design has developed partly due to new digital design techniques, which allow the generation of geometries based on the definition of initial parameters and the programming of formal relationship between them. Design processes based on these technologies allow to create shapes with the capacity to modify and adapt to multiple constrains or specific evaluation criteria, which raises the problem of identifying the best architectural solution. Several experiences have set up the utilization of genetic algorithm to face this problem. This paper demonstrates the possibility to implement a parametric analysis of architectural volumes with genetic algorithm, in order to combine functional, environmental and structural requirements, with an effective search method to select a variety of proper solutions through digital technologies.
Multi-Directional Non-Parametric Analysis of Agricultural Efficiency
Balezentis, Tomas
This thesis seeks to develop methodologies for assessment of agricultural efficiency and employ them to Lithuanian family farms. In particular, we focus on three particular objectives throughout the research: (i) to perform a fully non-parametric analysis of efficiency effects, (ii) to extend...... relative to labour, intermediate consumption and land (in some cases land was not treated as a discretionary input). These findings call for further research on relationships among financial structure, investment decisions, and efficiency in Lithuanian family farms. Application of different techniques...... of stochasticity associated with Lithuanian family farm performance. The former technique showed that the farms differed in terms of the mean values and variance of the efficiency scores over time with some clear patterns prevailing throughout the whole research period. The fuzzy Free Disposal Hull showed...
Parametric Variations Sensitivity Analysis on IM Discrete Speed Estimation
Mohamed BEN MESSAOUD
2007-09-01
Full Text Available Motivation: This paper will discuss sensitivity issues in rotor speed estimation for induction machine (IM drives using only voltage and current measurements. A supervised estimation algorithm is proposed with the aim to achieve good performances in the large variations of the speed. After a brief presentation on discrete feedback structure of the estimator formulated from d-q axis equations, we will expose its performances for machine parameters variations.Method: Hyperstability concept was applied to the synthesis adaptation low. A heuristic term is added to the algorithm to maintain good speed estimation factor in high speeds.Results: In simulation, the estimation error is maintained relatively low in wide range of speeds, and the robustness of the estimation algorithm is shown for machine parametric variations.Conclusions: Sensitivity analysis to motor parameter changes of proposed sensorless IM is then performed.
Economic Analysis of Nuclear Energy
Lee, Man Ki; Moon, K. H.; Kim, S. S.; Lim, C. Y.; Oh, K. B
2006-12-15
It has been well recognized that securing economic viabilities along with technologies are very important elements in the successful implementation of nuclear R and D projects. The objective of the Project is to help nuclear energy to be utilized in an efficient way by analyzing major issues related with nuclear economics. The study covers following subjects: the role of nuclear in the future electric supply system, economic analysis of nuclear R and D project, contribution to the regional economy from nuclear power. In addition, the study introduces the international cooperation in the methodological area of efficient use of nuclear energy by surveying the international activities related with nuclear economics.
Quantitative analysis and parametric display of regional myocardial mechanics
Eusemann, Christian D.; Bellemann, Matthias E.; Robb, Richard A.
2000-04-01
Quantitative assessment of regional heart motion has significant potential for more accurate diagnosis of heart disease and/or cardiac irregularities. Local heart motion may be studied from medical imaging sequences. Using functional parametric mapping, regional myocardial motion during a cardiac cycle can be color mapped onto a deformable heart model to obtain better understanding of the structure- to-function relationships in the myocardium, including regional patterns of akinesis or diskinesis associated with ischemia or infarction. In this study, 3D reconstructions were obtained from the Dynamic Spatial Reconstructor at 15 time points throughout one cardiac cycle of pre-infarct and post-infarct hearts. Deformable models were created from the 3D images for each time point of the cardiac cycles. Form these polygonal models, regional excursions and velocities of each vertex representing a unit of myocardium were calculated for successive time-intervals. The calculated results were visualized through model animations and/or specially formatted static images. The time point of regional maximum velocity and excursion of myocardium through the cardiac cycle was displayed using color mapping. The absolute value of regional maximum velocity and maximum excursion were displayed in a similar manner. Using animations, the local myocardial velocity changes were visualized as color changes on the cardiac surface during the cardiac cycle. Moreover, the magnitude and direction of motion for individual segments of myocardium could be displayed. Comparison of these dynamic parametric displays suggest that the ability to encode quantitative functional information on dynamic cardiac anatomy enhances the diagnostic value of 4D images of the heart. Myocardial mechanics quantified this way adds a new dimension to the analysis of cardiac functional disease, including regional patterns of akinesis and diskinesis associated with ischemia and infarction. Similarly, disturbances in
Mladen Skelin
2014-03-01
Full Text Available Scenario-aware dataflow (SADF is a prominent tool for modeling and analysis of dynamic embedded dataflow applications. In SADF the application is represented as a finite collection of synchronous dataflow (SDF graphs, each of which represents one possible application behaviour or scenario. A finite state machine (FSM specifies the possible orders of scenario occurrences. The SADF model renders the tightest possible performance guarantees, but is limited by its finiteness. This means that from a practical point of view, it can only handle dynamic dataflow applications that are characterized by a reasonably sized set of possible behaviours or scenarios. In this paper we remove this limitation for a class of SADF graphs by means of SADF model parametrization in terms of graph port rates and actor execution times. First, we formally define the semantics of the model relevant for throughput analysis based on (max,+ linear system theory and (max,+ automata. Second, by generalizing some of the existing results, we give the algorithms for worst-case throughput analysis of parametric rate and parametric actor execution time acyclic SADF graphs with a fully connected, possibly infinite state transition system. Third, we demonstrate our approach on a few realistic applications from digital signal processing (DSP domain mapped onto an embedded multi-processor architecture.
Interactive flutter analysis and parametric study for conceptual wing design
Mukhopadhyay, Vivek
1995-01-01
An interactive computer program was developed for wing flutter analysis in the conceptual design stage. The objective was to estimate the flutter instability boundary of a flexible cantilever wing, when well defined structural and aerodynamic data are not available, and then study the effect of change in Mach number, dynamic pressure, torsional frequency, sweep, mass ratio, aspect ratio, taper ratio, center of gravity, and pitch inertia, to guide the development of the concept. The software was developed on MathCad (trademark) platform for Macintosh, with integrated documentation, graphics, database and symbolic mathematics. The analysis method was based on nondimensional parametric plots of two primary flutter parameters, namely Regier number and Flutter number, with normalization factors based on torsional stiffness, sweep, mass ratio, aspect ratio, center of gravity location and pitch inertia radius of gyration. The plots were compiled in a Vaught Corporation report from a vast database of past experiments and wind tunnel tests. The computer program was utilized for flutter analysis of the outer wing of a Blended Wing Body concept, proposed by McDonnell Douglas Corporation. Using a set of assumed data, preliminary flutter boundary and flutter dynamic pressure variation with altitude, Mach number and torsional stiffness were determined.
Numerical Analysis of Piles in Layered Soils: A Parametric Study
Ravi Kumar Reddy C
2015-04-01
Full Text Available In this paper, numerical analysis of a pile-soil interaction problem is presented considering the parameters influencing the axial load-deformation behavior of the pile embedded in a layered soil medium. The analysis is demonstrated with parametric solutions of a pile with underlain model soil strata under the axial force. An attempt is made to ascertain the extent of influence of elastic properties of the pile, geometry of the pile, end conditions of the pile and the elastic properties of the underlain soil strata on the response of the piles under axial loads lying in a model soil layers in terms of the settlement of the pile and the internal deformation of the pile. The study revealed that the increase in modulus of elasticity of pile improves the settlement resistance of the pile, increase in the ratio of cross sectional dimensions causes decrease in the top deformations of the pile, the settlement of the pile reduced to a great extent when the cross section of the pile adopted is non circular instead of circular and increase in the elastic modulii of top and bottom layers of soil has decreased the settlement of the pile to a great extent, but elastic modulus of soil layers other than top and bottom has got negligible influence on the settlement of the pile.
Bilel Jarraya
2014-03-01
Full Text Available Bank efficiency scores usually serve as a tool for comparing institutions with each other while allowing us to quantify sub-optimal decision-making unit choices. In the case of inter-country comparisons, such differences can also arise because of macro-economic heterogeneity between countries. Previous studies estimated a common technology limit for a sample of banking institutions in different countries. The contribution of our paper is that we employ a parametric approach to specify meta-frontiers and to study the effect of macro-economic heterogeneity on banking technology development. First, we use a parametric directional distance function to specify the appropriate technology frontier for each nation and the meta-technology frontier that includes all country-specific frontiers. Then, we define the directional technology gap ratio referring to the inefficiency scores evaluated from meta-technology and country-specific technology frontiers. The estimated parameters are more significant in our model than in the general model, also called the common frontier model. Comparing the results of our model to those of common frontiers, we find a substantial variation not only in inefficiency scores but also in countries’ rankings. While resorting to a pooled linear regression model, we demonstrate that the assessed technology gap ratio exhibits a significant association with inflation rates and per capita GDP. This result proves the influence of macro-economic heterogeneity on banks’ efficiency and technological development.
Parametric analysis of geothermal residential heating and cooling application
Sagia, Zoi N.; Stegou, Athina B.; Rakopoulos, Constantinos D. [National Technical University of Athens, School of Mechanical Engineering, Department of Thermal Engineering, Heroon Polytechniou 9, 15780, Zografou, Attiki (Greece)
2012-07-01
A study is carried out to evaluate the efficiency of a Ground Source Heat Pump (GSHP) system with vertical heat exchangers applied to a three-storey terraced building, with total heated area 271.56 m2, standing on Hellinikon, Athens. The estimation of building loads is made with TRNSYS 16.1 using climatic data calculated by Meteonorm 6.1. The GSHP system is modeled with two other packages GLD 2009 and GLHEPRO 4.0. A comparison of the mean fluid temperature (fluid temperature in the borehole calculated as the average of exiting and entering fluid temperature), computed by above software, shows how close the results are. In addition, a parametric analysis is done to examine the influence of undisturbed ground temperature, ground heat exchanger (GHE) length and borehole separation distance to system’s operational characteristics so as to cover building loads. Finally, a 2D transient simulation is performed by means of COMSOL Multiphysics 4.0a. The carrier fluid in the borehole is modeled as a solid with extremely high thermal conductivity, extracting from and injecting to the ground the hourly load profile calculated by TRNSYS. The mean fluid temperature and the borehole wall temperature are computed for an entire year and compared with the values calculated by GLD.
Parametric analysis of geothermal residential heating and cooling application
Zoi N. Sagia, Athina B. Stegou, Constantinos D. Rakopoulos
2012-01-01
Full Text Available A study is carried out to evaluate the efficiency of a Ground Source Heat Pump (GSHP system with vertical heat exchangers applied to a three-storey terraced building, with total heated area 271.56 m2, standing on Hellinikon, Athens. The estimation of building loads is made with TRNSYS 16.1 using climatic data calculated by Meteonorm 6.1. The GSHP system is modeled with two other packages GLD 2009 and GLHEPRO 4.0. A comparison of the mean fluid temperature (fluid temperature in the borehole calculated as the average of exiting and entering fluid temperature, computed by above software, shows how close the results are. In addition, a parametric analysis is done to examine the influence of undisturbed ground temperature, ground heat exchanger (GHE length and borehole separation distance to system’s operational characteristics so as to cover building loads. Finally, a 2D transient simulation is performed by means of COMSOL Multiphysics 4.0a. The carrier fluid in the borehole is modeled as a solid with extremely high thermal conductivity, extracting from and injecting to the ground the hourly load profile calculated by TRNSYS. The mean fluid temperature and the borehole wall temperature are computed for an entire year and compared with the values calculated by GLD.
Salvesen, F.; Sandgren, J. [KanEnergi AS, Rud (Norway)
1997-12-31
The present energy situation in the target area is summarized: 20 million inhabitants without electricity in north- west Russia, 50 % of the people in the Baltic`s without electricity, very high technical skills, biggest problems is the finance. The energy situation, the advantages of the renewables, the restrictions, and examples for possible technical solutions are reviewed on the basis of short analysis and experience with the Baltics and Russia
Validation of statistical models for creep rupture by parametric analysis
Bolton, J., E-mail: john.bolton@uwclub.net [65, Fisher Ave., Rugby, Warks CV22 5HW (United Kingdom)
2012-01-15
Statistical analysis is an efficient method for the optimisation of any candidate mathematical model of creep rupture data, and for the comparative ranking of competing models. However, when a series of candidate models has been examined and the best of the series has been identified, there is no statistical criterion to determine whether a yet more accurate model might be devised. Hence there remains some uncertainty that the best of any series examined is sufficiently accurate to be considered reliable as a basis for extrapolation. This paper proposes that models should be validated primarily by parametric graphical comparison to rupture data and rupture gradient data. It proposes that no mathematical model should be considered reliable for extrapolation unless the visible divergence between model and data is so small as to leave no apparent scope for further reduction. This study is based on the data for a 12% Cr alloy steel used in BS PD6605:1998 to exemplify its recommended statistical analysis procedure. The models considered in this paper include a) a relatively simple model, b) the PD6605 recommended model and c) a more accurate model of somewhat greater complexity. - Highlights: Black-Right-Pointing-Pointer The paper discusses the validation of creep rupture models derived from statistical analysis. Black-Right-Pointing-Pointer It demonstrates that models can be satisfactorily validated by a visual-graphic comparison of models to data. Black-Right-Pointing-Pointer The method proposed utilises test data both as conventional rupture stress and as rupture stress gradient. Black-Right-Pointing-Pointer The approach is shown to be more reliable than a well-established and widely used method (BS PD6605).
Hollow cathode modeling: II. Physical analysis and parametric study
Sary, Gaétan; Garrigues, Laurent; Boeuf, Jean-Pierre
2017-05-01
A numerical emissive hollow cathode model which couples plasma and thermal aspects of the NASA NSTAR cathode has been presented in a companion paper and simulation results obtained using the plasma model were compared to experimental data. We now compare simulation results with measurements using the full coupled model. Inside the cathode, the simulated plasma density profile agrees with the experimental data up to the ±50% experimental uncertainty while the simulated emitter temperature differs from measurements by at most 5 K. We then proceed to an analysis of the cathode discharge both inside the cathode where electron emission is dominant and outside in the near plume where electron transport instabilities are important. As observed previously in the literature, the total emitted electron current is much larger (34 {{A}}) than the set discharge current collected at the anode (13 {{A}}) while ionization plays a negligible role. Extracted electrons are emitted from a region much shorter than the full emitter (0.9 {{cm}} versus 2.5 {{cm}}). The influence of an applied axial magnetic field in the plume is also assessed and we observe that it leads to a 10-fold increase of the plasma density 1 cm downstream of the orifice entrance while the simulated discharge potential at the anode is increased from 10 {{V}} up to 35.5 {{V}}. Lastly, we perform a parametric study on both the operating point (discharge current, mass flow rate) and design (inner radius) of the cathode. The simulated useful operating envelope is shown to be limited at low discharge current mostly because of the probable ion sputtering of the emitter and at high discharge current because of emitter evaporation, plasma oscillations and sputtering of the keeper electrode. The behavior of the cathode is also analyzed w.r.t. its internal radius and simulation results show that the useful emitter length scales linearly with the cathode radius.
Non-parametric analysis of rating transition and default data
Fledelius, Peter; Lando, David; Perch Nielsen, Jens
2004-01-01
We demonstrate the use of non-parametric intensity estimation - including construction of pointwise confidence sets - for analyzing rating transition data. We find that transition intensities away from the class studied here for illustration strongly depend on the direction of the previous move b...... but that this dependence vanishes after 2-3 years....
Perturbation analysis of a parametrically changed sine-Gordon equation
Sakai, S.; Samuelsen, Mogens Rugholm; Olsen, O. H.
1987-01-01
A long Josephson junction with a spatially varying inductance is a physical manifestation of a modified sine-Gordon equation with parametric perturbation. Soliton propagation in such Josephson junctions is discussed. First, for an adiabatic model where the inductance changes smoothly compared...
Analytic central path, sensitivity analysis and parametric linear programming
A.G. Holder; J.F. Sturm; S. Zhang (Shuzhong)
1998-01-01
textabstractIn this paper we consider properties of the central path and the analytic center of the optimal face in the context of parametric linear programming. We first show that if the right-hand side vector of a standard linear program is perturbed, then the analytic center of the optimal face
Non-parametric analysis of rating transition and default data
Fledelius, Peter; Lando, David; Perch Nielsen, Jens
2004-01-01
We demonstrate the use of non-parametric intensity estimation - including construction of pointwise confidence sets - for analyzing rating transition data. We find that transition intensities away from the class studied here for illustration strongly depend on the direction of the previous move...
Osler, James Edward
2014-01-01
This monograph provides an epistemological rational for the design of a novel post hoc statistical measure called "Tri-Center Analysis". This new statistic is designed to analyze the post hoc outcomes of the Tri-Squared Test. In Tri-Center Analysis trichotomous parametric inferential parametric statistical measures are calculated from…
Performance Analysis Of Single-Pumped And Dual-Pumped Parametric Optical Amplifier
Sandar Myint
2015-06-01
Full Text Available Abstract In this study we present a performance analysis of single-pumped and dual- pumped parametric optical amplifier and present the analysis of gain flatness in dual- pumped Fiber Optical Parametric Amplifier FOPA based on four-wave mixing FWM. Result shows that changing the signal power and pump power give the various gains in FOPA. It is also found out that the parametric gain increase with increase in pump power and decrease in signal power. .Moreover in this paper the phase matching condition in FWM plays a vital role in predicting the gain profile of the FOPAbecause the parametric gain is maximum when the total phase mismatch is zero.In this paper single-pumped parametric amplification over a 50nm gain bandwidth is demonstrated using 500 nm highly nonlinear fiber HNLF and signal achieves about 31dB gain. For dual-pumped parametric amplification signal achieves 26.5dB gains over a 50nm gain bandwidth. Therefore dual-pumped parametric amplifier can provide relatively flat gain over a much wider bandwidth than the single-pumped FOPA.
PARAMETRIC VARIATIONAL PRINCIPLE BASED ELASTIC-PLASTIC ANALYSIS OF COSSERAT CONTINUUM
Zhang Hongwu; Wang Hui; Chen Biaosong; Xie Zhaoqian
2007-01-01
A new algorithm is developed based on the parametric variational principle for elastic-plastic analysis of Cosserat continuum. The governing equations of the classic elastic-plastic problem are regularized by adding rotational degrees of freedom to the conventional translational degrees of freedom in conventional continuum mechanics. The parametric potential energy principle of the Cosserat theory is developed, from which the finite element formulation of the Cosserat theory and the corresponding parametric quadratic programming model are constructed. Strain localization problems are computed and the mesh independent results are obtained.
Economic analysis: A basic primer
Doig G
2003-01-01
Full Text Available Medical knowledge is advancing at an incredible rate. This rapid increase in the fundamental understanding of disease states has led to some important breakthroughs in care over the past ten years and will undoubtedly lead to untold more. At the same time that we are being presented with more options for diagnosis and treatment, governments around the world are fighting to reduce deficit spending and inflation. As a direct result of this combination of reduced spending and increased options for care, medical professionals are being asked to provide more effective care more efficiently. The randomized control trial may be the best way to determine the effectiveness of different options, however, only a full economic analysis can help decide which option is more efficient. This paper is intended to provide the reader with a basic understanding of the methods used to perform a full economic analysis.
ANALYSIS OF TIED DATA: AN ALTERNATIVE NON-PARAMETRIC APPROACH
I. C. A. OYEKA
2012-02-01
Full Text Available This paper presents a non-parametric statistical method of analyzing two-sample data that makes provision for the possibility of ties in the data. A test statistic is developed and shown to be free of the effect of any possible ties in the data. An illustrative example is provided and the method is shown to compare favourably with its competitor; the Mann-Whitney test and is more powerful than the latter when there are ties.
Parametric Analysis of Composite Reinforced Wood Tubes Under Axial Compression
Cabrero, J.; Heiduschke, A.; Haller, P. (P.)
2010-01-01
Wood tubes combine economy, an efficient use of the material and optimal structural performance. They can be optionally reinforced with technical fibers and/or textiles laminated to the outer wood surface. The paper presents the outcomes of a parametric study on the performance of wood reinforced tubes submitted to axial compression. Simple analytical models were applied to estimate the load-carrying capacity of the tubes and their failure mechanisms. Analytical and numerical models were deve...
Pataky, Todd C; Vanrenterghem, Jos; Robinson, Mark A
2015-05-01
Biomechanical processes are often manifested as one-dimensional (1D) trajectories. It has been shown that 1D confidence intervals (CIs) are biased when based on 0D statistical procedures, and the non-parametric 1D bootstrap CI has emerged in the Biomechanics literature as a viable solution. The primary purpose of this paper was to clarify that, for 1D biomechanics datasets, the distinction between 0D and 1D methods is much more important than the distinction between parametric and non-parametric procedures. A secondary purpose was to demonstrate that a parametric equivalent to the 1D bootstrap exists in the form of a random field theory (RFT) correction for multiple comparisons. To emphasize these points we analyzed six datasets consisting of force and kinematic trajectories in one-sample, paired, two-sample and regression designs. Results showed, first, that the 1D bootstrap and other 1D non-parametric CIs were qualitatively identical to RFT CIs, and all were very different from 0D CIs. Second, 1D parametric and 1D non-parametric hypothesis testing results were qualitatively identical for all six datasets. Last, we highlight the limitations of 1D CIs by demonstrating that they are complex, design-dependent, and thus non-generalizable. These results suggest that (i) analyses of 1D data based on 0D models of randomness are generally biased unless one explicitly identifies 0D variables before the experiment, and (ii) parametric and non-parametric 1D hypothesis testing provide an unambiguous framework for analysis when one׳s hypothesis explicitly or implicitly pertains to whole 1D trajectories.
Analytic central path, sensitivity analysis and parametric linear programming
A.G. Holder; Sturm, J.F.; Zhang, Shuzhong
1998-01-01
textabstractIn this paper we consider properties of the central path and the analytic center of the optimal face in the context of parametric linear programming. We first show that if the right-hand side vector of a standard linear program is perturbed, then the analytic center of the optimal face is one-side differentiable with respect to the perturbation parameter. In that case we also show that the whole analytic central path shifts in a uniform fashion. When the objective vector is pertur...
Parametrization of $\\epsilon$-rational curves: error analysis
Rueda, Sonia L
2010-01-01
In [Computer Aided Geometric Design 27 (2010), 212-231] the authors present an algorithm to parametrize approximately $\\epsilon$-rational curves, and they show in 2 examples that the Hausdorff distance, w.r.t. to the Euclidean distance, between the input and output curves is small. In this paper, we analyze this distance for a whole family of curves randomly generated and we automatize the strategy used in [Computer Aided Geometric Design 27 (2010), 212-231]. We find a reasonable upper bound of the Hausdorff distance between each input and output curve of the family.
Essays on parametric and nonparametric modeling and estimation with applications to energy economics
Gao, Weiyu
My dissertation research is composed of two parts: a theoretical part on semiparametric efficient estimation and an applied part in energy economics under different dynamic settings. The essays are related in terms of their applications as well as the way in which models are constructed and estimated. In the first essay, efficient estimation of the partially linear model is studied. We work out the efficient score functions and efficiency bounds under four stochastic restrictions---independence, conditional symmetry, conditional zero mean, and partially conditional zero mean. A feasible efficient estimation method for the linear part of the model is developed based on the efficient score. A battery of specification test that allows for choosing between the alternative assumptions is provided. A Monte Carlo simulation is also conducted. The second essay presents a dynamic optimization model for a stylized oilfield resembling the largest developed light oil field in Saudi Arabia, Ghawar. We use data from different sources to estimate the oil production cost function and the revenue function. We pay particular attention to the dynamic aspect of the oil production by employing petroleum-engineering software to simulate the interaction between control variables and reservoir state variables. Optimal solutions are studied under different scenarios to account for the possible changes in the exogenous variables and the uncertainty about the forecasts. The third essay examines the effect of oil price volatility on the level of innovation displayed by the U.S. economy. A measure of innovation is calculated by decomposing an output-based Malmquist index. We also construct a nonparametric measure for oil price volatility. Technical change and oil price volatility are then placed in a VAR system with oil price and a variable indicative of monetary policy. The system is estimated and analyzed for significant relationships. We find that oil price volatility displays a significant
Parametric Studies of Square Solar Sails Using Finite Element Analysis
Sleight, David W.; Muheim, Danniella M.
2004-01-01
Parametric studies are performed on two generic square solar sail designs to identify parameters of interest. The studies are performed on systems-level models of full-scale solar sails, and include geometric nonlinearity and inertia relief, and use a Newton-Raphson scheme to apply sail pre-tensioning and solar pressure. Computational strategies and difficulties encountered during the analyses are also addressed. The purpose of this paper is not to compare the benefits of one sail design over the other. Instead, the results of the parametric studies may be used to identify general response trends, and areas of potential nonlinear structural interactions for future studies. The effects of sail size, sail membrane pre-stress, sail membrane thickness, and boom stiffness on the sail membrane and boom deformations, boom loads, and vibration frequencies are studied. Over the range of parameters studied, the maximum sail deflection and boom deformations are a nonlinear function of the sail properties. In general, the vibration frequencies and modes are closely spaced. For some vibration mode shapes, local deformation patterns that dominate the response are identified. These localized patterns are attributed to the presence of negative stresses in the sail membrane that are artifacts of the assumption of ignoring the effects of wrinkling in the modeling process, and are not believed to be physically meaningful. Over the range of parameters studied, several regions of potential nonlinear modal interaction are identified.
ZHANG Jie; TANG Yougang
2015-01-01
Parametric instability of a riser is caused by fluctuation of its tension in time due to the heave motion of floating plat-form. Many studies have tackled the problem of parametric instability of a riser with constant tension. However, tension in the riser actually varies linearly from the top to the bottom due to the effect of gravity. This paper presents the parametric instability analysis of deepwater top-tensioned risers (TTR) considering the linearly varying tension along the length. Firstly, the governing equation of transverse motion of TTR under parametric excitation is established. This equation is reduced to a system of ordinary differential equations by using the Galerkin method. Then the parametric instability of TTR for three calculation models are investigated by ap-plying the Floquet theory. The results show that the natural frequencies of TTR with variable tension are evidently reduced, the pa-rametric instability zones are significantly increased and the maximum allowable amplitude of platform heave is much smaller under the same damping; The nodes and antinodes of mode shape are no longer uniformly distributed along the axial direction and the am-plitude also changes with depth, which leads to coupling between the modes. The combination resonance phenomenon occurs as a result of mode coupling, which causes more serious damage.
Economic modeling and sensitivity analysis.
Hay, J W
1998-09-01
The field of pharmacoeconomics (PE) faces serious concerns of research credibility and bias. The failure of researchers to reproduce similar results in similar settings, the inappropriate use of clinical data in economic models, the lack of transparency, and the inability of readers to make meaningful comparisons across published studies have greatly contributed to skepticism about the validity, reliability, and relevance of these studies to healthcare decision-makers. Using a case study in the field of lipid PE, two suggestions are presented for generally applicable reporting standards that will improve the credibility of PE. Health economists and researchers should be expected to provide either the software used to create their PE model or a multivariate sensitivity analysis of their PE model. Software distribution would allow other users to validate the assumptions and calculations of a particular model and apply it to their own circumstances. Multivariate sensitivity analysis can also be used to present results in a consistent and meaningful way that will facilitate comparisons across the PE literature. Using these methods, broader acceptance and application of PE results by policy-makers would become possible. To reduce the uncertainty about what is being accomplished with PE studies, it is recommended that these guidelines become requirements of both scientific journals and healthcare plan decision-makers. The standardization of economic modeling in this manner will increase the acceptability of pharmacoeconomics as a practical, real-world science.
Parametric analysis of a packed bed thermal energy storage system
Ortega-Fernández, Iñigo; Loroño, Iñaki; Faik, Abdessamad; Uriz, Irantzu; Rodríguez-Aseguinolaza, Javier; D'Aguanno, Bruno
2017-06-01
Even if the packed bed thermal energy storage concept has been introduced as a promising technology in the concentrated solar power field in the last years, its full deployment in commercial plants presents a clear improvement potential. In order to overcome the under-development of this storage technology, this work attempts to show the great capabilities of packed bed heat storage units after a successful design and operational parametric optimization procedure. The obtained results show that a correct design of this type of facilities together with a successful operation method, allow to increase significantly the storage capacity reaching an overall efficiency higher than 80 %. The design guideline obtained as a result of this work could open new objectives and applications for the packed bed storage technology as it represents a cost-effective and highly performing storage alternative.
van Milligen, B. P.; Soltwisch, H.; Cardozo, N. J. L.
1991-01-01
Function parametrization (FP) provides a way to perform complex data analysis in a fast and reliable manner that allows inter-shot analysis. The method has been used to analyse polarimetry and interferometry data in TEXTOR with the purpose of obtaining spatial distributions of the electron density a
Parametric analysis of the performance of internally finned tubes for heat exchanger application
Webb, R.L.; Scott, M.J.
1980-02-01
This paper presents a parametric analysis of the performance of internally finned tubes in turbulent forced convection for application to heat exchangers. The analysis compares the performance of an internally finned tube exchanger with that of an exchanger having internally smooth tubes. The calculations are performed for three important design cases.
Design and Parametr Analysis of Switched Reluctance Motor with Permanent Magnets
Ivan Trak
2004-01-01
Full Text Available This paper deals with Switched Reluctance Motor (SRM parametr investigation, if permanent magnets are suitable inserted in stator parts to increase magnetic flux. The analysis is made on the base of input geometrical dimensions and materials of a real SRM without permanent magnets (PM. The calculation of PMSRM static parametres is made by means of Finite Element Method (FEM and by analytical approach. The output parameters of PMSRM analysis are phase inductance, flux linage and electromagnetic torque versus phase current and rotor position. These calculated parameters are compared with measured and FEM calculated parameters of SRM without PM. The recommendations for PMSRM design configuration are given.
Generalized Correlation Coefficient for Non-Parametric Analysis of Microarray Time-Course Data.
Tan, Qihua; Thomassen, Mads; Burton, Mark; Mose, Kristian Fredløv; Andersen, Klaus Ejner; Hjelmborg, Jacob; Kruse, Torben
2017-06-06
Modeling complex time-course patterns is a challenging issue in microarray study due to complex gene expression patterns in response to the time-course experiment. We introduce the generalized correlation coefficient and propose a combinatory approach for detecting, testing and clustering the heterogeneous time-course gene expression patterns. Application of the method identified nonlinear time-course patterns in high agreement with parametric analysis. We conclude that the non-parametric nature in the generalized correlation analysis could be an useful and efficient tool for analyzing microarray time-course data and for exploring the complex relationships in the omics data for studying their association with disease and health.
Generalized Correlation Coefficient for Non-Parametric Analysis of Microarray Time-Course Data
Tan, Qihua; Thomassen, Mads; Burton, Mark
2017-01-01
Modeling complex time-course patterns is a challenging issue in microarray study due to complex gene expression patterns in response to the time-course experiment. We introduce the generalized correlation coefficient and propose a combinatory approach for detecting, testing and clustering...... the heterogeneous time-course gene expression patterns. Application of the method identified nonlinear time-course patterns in high agreement with parametric analysis. We conclude that the non-parametric nature in the generalized correlation analysis could be an useful and efficient tool for analyzing microarray...... time-course data and for exploring the complex relationships in the omics data for studying their association with disease and health....
Generalized Correlation Coefficient for Non-Parametric Analysis of Microarray Time-Course Data
Tan, Qihua; Thomassen, Mads; Burton, Mark
2017-01-01
Modeling complex time-course patterns is a challenging issue in microarray study due to complex gene expression patterns in response to the time-course experiment. We introduce the generalized correlation coefficient and propose a combinatory approach for detecting, testing and clustering...... the heterogeneous time-course gene expression patterns. Application of the method identified nonlinear time-course patterns in high agreement with parametric analysis. We conclude that the non-parametric nature in the generalized correlation analysis could be an useful and efficient tool for analyzing microarray...
Nonlinear Scaling Laws for Parametric Receiving Arrays. Part II. Numerical Analysis
1976-06-30
8217" " .’Ml’.1 ’.■■’: ■ ’ ^ t- Nonlinear Scaling Laws for Parametric Receiving Arrays Part II Numerical Analysis » - m • o prepared ...8217 ’ ■ — Nonlinear Scaling Laws for Parametric Receiving Arrays » z Part II. Numerical Analysis prepared under: A ——^ N0ÖJ339- 7 5 - C -J02 59, //V-ARPA Order...IF ’IP ,6T, 10 .HNO. IR .I_E. £0> riELTI = LiELTrJ IF ’IP .GT. 3 0 .HMD. IP .LE. 3 0;. [ IELT I = IiELT3 IF
Integrating acoustic analysis in the architectural design process using parametric modelling
Peters, Brady
2011-01-01
This paper discusses how parametric modeling techniques can be used to provide architectural designers with a better understanding of the acoustic performance of their designs and provide acoustic engineers with models that can be analyzed using computational acoustic analysis software. Architects...... provide a method by which architects and engineers can work together more efficiently and communicate better. This research is illustrated through the design of an architectural project, a new school in Copenhagen, Denmark by JJW Architects, where parametric modeling techniques have been used in different......, acoustic performance can inform the geometry and material logic of the design. In this way, the architectural design and the acoustic analysis model become linked....
Parametric analysis of loop heat pipe operation: a literature review
Launay, Stephane; Sartre, Valerie; Bonjour, Jocelyn [Centre de Thermique UMR 5008 CNRS-INSA-Universite Lyon 1, Institut National des Sciences Appliquees, Bat. Sadi Carnot, 9 rue de la Physique, 69 621 Villeurbanne cedex (France)
2007-07-15
Loop heat pipes (LHPs) are heat transfer devices whose operating principle is based on the evaporation/condensation of a working fluid, and which use the capillary pumping forces to ensure the fluid circulation. Their major advantages as compared to heat pipes are an ability to operate against gravity and a greater maximum heat transport capability. In this paper, a literature review is carried out in order to investigate how various parameters affect the LHP operational characteristics. This review is based on the most recent published experimental and theoretical studies. After a reminder of the LHP operating principle and thermodynamic cycle, their operating limits are described. The LHP thermal resistance and maximum heat transfer capability are affected by the choice of the working fluid, the fill charge ratio, the porous wick geometry and thermal properties, the sink and ambient temperature levels, the design of the evaporator and compensation chamber, the elevation and tilt, the presence of non-condensable gases, the pressure drops of the fluid along the loop. The overall objective for this paper is to point the state-of-the-art for the related technology for future design and applications, where the constraints related to the LHPs are detailed and discussed. (author) [French] Les boucles diphasiques a pompage capillaire sont des systemes dont le principe de fonctionnement est base sur l'evaporation/condensation d'un fluide et qui utilisent les forces de capillarite pour faire circuler le fluide dans la boucle. En comparaison des caloducs, les principaux avantages des boucles diphasiques a pompage capillaire sont une aptitude a vaincre les forces de gravite, lorsque le systeme est en position defavorable, et une puissance maximale transferable superieure. La presente etude bibliographique, basee sur les travaux experimentaux et theoriques les plus recents, a pour but est de comprendre comment differents parametres influencent le comportement de la
Economic Periodicity Analysis of Shandong Province
Liu Zhaode; Yao Lili; Sun Jinfang; Yu Wei
2008-01-01
The paper analyses the periodical characteristics of the economic development of Shandong Province by using the mini-mum variation analysis model. The analysis shows that the eco-nomic development process of Shandong Province has short, medium and long cycles respectively for 6, 12, 19 years, and the fluctuation of the economic development becomes gentler with time passing by. The fluctuation of macro-control policy, invest-ment and consumption are the main reasons of the economic fluc-tuation.
Non-parametric production analysis of pesticides use in the Netherlands
Oude Lansink, A.G.J.M.; Silva, E.
2004-01-01
Many previous empirical studies on the productivity of pesticides suggest that pesticides are under-utilized in agriculture despite the general held believe that these inputs are substantially over-utilized. This paper uses data envelopment analysis (DEA) to calculate non-parametric measures of the
Economic Analysis on Wastewater Reuse
Yushan WAN; Na LI
2012-01-01
Abstract The shortage of water resources social development. Wastewater reuse is an has become a major limiting factor for effective solution to solve water short- ages, which not only has economic benefits, but also has significant social and en- vironmental benefits. The economic evaluation is an important component in the study of wastewater reuse feasibility and the basis for the program optimization and economic feasibility determination.
Economic analysis of production bottlenecks
Lawrence Stephen R.
1995-01-01
Full Text Available The management of bottlenecks has become a central topic in the planning and control of production systems. In this paper, we critically analyze bottlenecks from an economic perspective. Using a queueing network model, we demonstrate that bottlenecks are inevitable when there are differences in job arrival rates, processing rates, or costs of productive resources. These differences naturally lead to the creation of bottlenecks both for facilities design and demand planning problems. To evaluate bottlenecks from an economic perspective, we develop the notion of an “economic bottleneck,” which defines resources as bottlenecks based on economic, rather than physical, characteristics.
A Conceptual Wing Flutter Analysis Tool for Systems Analysis and Parametric Design Study
Mukhopadhyay, Vivek
2003-01-01
An interactive computer program was developed for wing flutter analysis in the conceptual design stage. The objective was to estimate flutt er instability boundaries of a typical wing, when detailed structural and aerodynamic data are not available. Effects of change in key flu tter parameters can also be estimated in order to guide the conceptual design. This userfriendly software was developed using MathCad and M atlab codes. The analysis method was based on non-dimensional paramet ric plots of two primary flutter parameters, namely Regier number and Flutter number, with normalization factors based on wing torsion stiffness, sweep, mass ratio, taper ratio, aspect ratio, center of gravit y location and pitch-inertia radius of gyration. These parametric plo ts were compiled in a Chance-Vought Corporation report from database of past experiments and wind tunnel test results. An example was prese nted for conceptual flutter analysis of outer-wing of a Blended-Wing- Body aircraft.
Photovoltaic systems: an economic analysis
Cirillo, E.; Lazzarin, R.; Fato, I. (Bari Univ. (Italy). Ist. di Fisica Tecnica e Impianti Termotecnici)
Costs and benefits of a photovoltaic plant intended for residential utilization and connected to the supply mains are evaluated. Three types of panels (mono, polycrystalline and amorphous silicon) are considered in determining the optimum economical size. Criteria for estimating the economically convenient peak watt cost compared with the mains supply cost are suggested.
Crash risk analysis for Shanghai urban expressways: A Bayesian semi-parametric modeling approach.
Yu, Rongjie; Wang, Xuesong; Yang, Kui; Abdel-Aty, Mohamed
2016-10-01
Urban expressway systems have been developed rapidly in recent years in China; it has become one key part of the city roadway networks as carrying large traffic volume and providing high traveling speed. Along with the increase of traffic volume, traffic safety has become a major issue for Chinese urban expressways due to the frequent crash occurrence and the non-recurrent congestions caused by them. For the purpose of unveiling crash occurrence mechanisms and further developing Active Traffic Management (ATM) control strategies to improve traffic safety, this study developed disaggregate crash risk analysis models with loop detector traffic data and historical crash data. Bayesian random effects logistic regression models were utilized as it can account for the unobserved heterogeneity among crashes. However, previous crash risk analysis studies formulated random effects distributions in a parametric approach, which assigned them to follow normal distributions. Due to the limited information known about random effects distributions, subjective parametric setting may be incorrect. In order to construct more flexible and robust random effects to capture the unobserved heterogeneity, Bayesian semi-parametric inference technique was introduced to crash risk analysis in this study. Models with both inference techniques were developed for total crashes; semi-parametric models were proved to provide substantial better model goodness-of-fit, while the two models shared consistent coefficient estimations. Later on, Bayesian semi-parametric random effects logistic regression models were developed for weekday peak hour crashes, weekday non-peak hour crashes, and weekend non-peak hour crashes to investigate different crash occurrence scenarios. Significant factors that affect crash risk have been revealed and crash mechanisms have been concluded.
Nikulin, M; Mesbah, M; Limnios, N
2004-01-01
Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis, and related fields.
Parametric Design and Mechanical Analysis of Beams based on SINOVATION
Xu, Z. G.; Shen, W. D.; Yang, D. Y.; Liu, W. M.
2017-07-01
In engineering practice, engineer needs to carry out complicated calculation when the loads on the beam are complex. The processes of analysis and calculation take a lot of time and the results are unreliable. So VS2005 and ADK are used to develop a software for beams design based on the 3D CAD software SINOVATION with C ++ programming language. The software can realize the mechanical analysis and parameterized design of various types of beams and output the report of design in HTML format. Efficiency and reliability of design of beams are improved.
Multilevel Latent Class Analysis: Parametric and Nonparametric Models
Finch, W. Holmes; French, Brian F.
2014-01-01
Latent class analysis is an analytic technique often used in educational and psychological research to identify meaningful groups of individuals within a larger heterogeneous population based on a set of variables. This technique is flexible, encompassing not only a static set of variables but also longitudinal data in the form of growth mixture…
Rational economic strategy and entropic analysis
Allred, J.C.; Howard, H.H.
1978-01-01
The neglect of entropic changes of energy and matter in the economic process leads to incorrect formulation of economic theory, as was first pointed out by the economist, Nicholas Georgescu-Roegen. Entropic analysis, that is, the reckoning of entropic changes in real-world processes, appears to be a useful guide toward a realistic understanding of the economic process. The example chosen here is the choice between natural gas and coal as fossil fuel. An outline of the necessary analysis is discussed, together with the requirements of rational economic strategy.
Parametric Time-Scale Methods in Signal Analysis
1993-06-30
for yi is akin to that of z,, in (4), we can write down the determinant of m Using the definition of zx in (4), we can decompose X.,(%) Yt(a) using (7...Signal from speech vowel /oo/, filtered to retain only the first two formant frequencies. (b) Estimated frequency tracks of the first and aecod...the cosinusoidal e analysis We apply this method to a speechand~pec analysiis. Wemoi coppnelt thi metho teo a speech and sinusoidal harmonic components
Multi-Directional Non-Parametric Analysis of Agricultural Efficiency
Balezentis, Tomas
the Multi-Directional Efficiency Analysis approach, (iii) to account for uncertainties via the use of probabilistic and fuzzy measures. Therefore, the thesis encompass six papers dedicated to (the combinations of) these objectives. One of the main contributions of this thesis is a number of extensions...... relative to labour, intermediate consumption and land (in some cases land was not treated as a discretionary input). These findings call for further research on relationships among financial structure, investment decisions, and efficiency in Lithuanian family farms. Application of different techniques...
Parametric analysis of a shape memory alloy actuated arm
Wright, Cody; Bilgen, Onur
2016-04-01
Using a pair of antagonistic Shape Memory Allow (SMA) wires, it may be possible to produce a mechanism that replicates human musculoskeletal movement. The movement of interest is the articulation of the elbow joint actuated by the biceps brachii muscle. In an effort to understand the bio-mechanics of the arm, a single degree of freedom crankslider mechanism is used to model the movement of the arm induced by the biceps brachii muscle. First, a purely kinematical analysis is performed on a rigid body crank-slider. Force analysis is also done modeling the muscle as a simple linear spring. Torque, rocking angle, and energy are calculated for a range of crank-slider geometries. The SMA wire characteristics are experimentally determined for the martensite detwinned and full austenite phases. Using the experimental data, an idealized actuator characteristic curve is produced for the SMA wire. Kinematic and force analyses are performed on the nonlinear wire characteristic curve and a linearized wire curve; both cases are applied to the crankslider mechanism. Performance metrics for both cases are compared, followed by discussion.
Analysis of Economic Factors Affecting Stock Market
Xie, Linyin
2010-01-01
This dissertation concentrates on analysis of economic factors affecting Chinese stock market through examining relationship between stock market index and economic factors. Six economic variables are examined: industrial production, money supply 1, money supply 2, exchange rate, long-term government bond yield and real estate total value. Stock market comprises fixed interest stocks and equities shares. In this dissertation, stock market is restricted to equity market. The stock price in thi...
VINTAN, M.
2016-01-01
The ground fault current distribution in an effectively grounded power network is affected by various factors, such as: tower footing impedances, spans lengths, configuration and parameters of overhead ground wires and power conductors, soil resistivity etc. In this paper, we comparatively analyze, using different models, the ground fault current distribution in a single circuit transmission line with one ground wire. A parametric comparative analysis was done in order to stud...
A parametric approach to hover balance analysis of two STOVL fighter concepts
Samuels, Jeffrey J.; Hahn, Andrew S.
1986-01-01
Successful development of an aircraft with vertical landing capability must address the critical problem of balancing the aircraft for hover. In this paper a parametric method for balancing short takeoff and vertical landing (STOVL) aircraft in hover is described and applied to the analysis of two conceptual STOVL fighters. One uses a remote augmented lift system and the other a thrust-vectoring hybrid tandem-fan engine.
Optical parametric oscillators in isotropic photonic crystals and cavities: 3D time domain analysis
Conti, Claudio; Di Falco, Andrea; Assanto, Gaetano
2004-01-01
We investigate optical parametric oscillations through four-wave mixing in resonant cavities and photonic crystals. The theoretical analysis underlines the relevant features of the phenomenon and the role of the density of states. Using fully vectorial 3D time-domain simulations, including both dispersion and nonlinear polarization, for the first time we address this process in a face centered cubic lattice and in a photonic crystal slab. The results lead the way to the development of novel p...
Numerical Tracking of Limit Points for Direct Parametric Analysis in Nonlinear Rotordynamics
Xie, Lihan; Baguet, Sébastien; Prabel, Benoit; Dufour, Régis
2016-01-01
International audience; A frequency-domain approach for direct parametric analysis of limit points of nonlinear dynamical systems is presented in this paper. Instead of computing responses curves for several values of a given system parameter, the direct tracking of limit points is performed. The whole numerical procedure is based on the Harmonic Balance Method and can be decomposed in three distinct steps. Firstly, a response curve is calculated by HBM combined with a continuation technique ...
Parametric Analysis of the End Face Engagement Worm Gear
DENG Xingqiao; WANG Jueling; WANG Jinge; CHEN Shouan; YANG Jie
2015-01-01
A novel specific type of worm drive, so-called end face engagement worm gear(EFEWD), is originally presented to minimize or overcome the gear backlash. Different factors, including the three different types, contact curves, tooth profile, lubrication angle and the induced normal curvature are taken into account to investigate the meshing characteristics and create the profile of a novel specific type of worm drive through mathematical models and theoretical analysis. The tooth of the worm wheel is very specific with the sine-shaped tooth which is located at the alveolus of the worm and the tooth profile of a worm is generated by the meshing movement of the worm wheel with the sine-shaped tooth, but just the end face of the worm(with three different typical meshing types) is adapted to meshing, and therefore an extraordinary manufacturing methods is used to generate the profile of the end face engagement worm. The research results indicates that the bearing contacts of the generated conjugate hourglass worm gear set are in line contacts, with certain advantages of no-backlash, high precision and high operating efficiency over other gears and gear systems besides the end face engagement worm gear drive may improve bearing contact, reduce the level of transmission errors and lessen the sensitivity to errors of alignment. Also, the end face engagement worm can be easily made with superior meshing and lubrication performance compared with the conventional techniques. In particular, the meshing and lubrication performance of the end face engagement worm gear by using the end face to meshing can be increased over 10% and 7%, respectively. This investigate is expect to provide a new insight on the design of the future no-backlash worm drive for industry.
Economic analysis of same-sex marriage.
Portelli, Christopher J
2004-01-01
This article applies the neoclassical microeconomic analysis of marriage as developed by Nobel laureate economist Gary Becker to same-sex marriage. The objective is to demonstrate that the economic analysis of marriage supports allowing same-sex marriage, and that same-sex marriages would strengthen the incentive to marry, increase the efficiency of marriage markets, provide for more children to be raised in two-parent optimum environments, and benefit states economically overall. The article concludes with an overview of the economic impact of same-sex marriages on states based on the analysis, data and fiscal information currently available from researchers and economists in the field.
Revisiting Samuelson's Foundations of Economic Analysis
R.E. Backhouse (Roger)
2015-01-01
textabstractPaul Samuelson's Foundations of Economic Analysis played a major role in defining how economic theory was undertaken for many years after the Second World War. This paper fills out Samuelson's account of the book's origins and corrects some details, making clear his debt to E. B. Wilson
Economic behavior: analysis and prospects
Lyudmila Alekseevna Migranova
2014-03-01
Full Text Available Efficient social policy should be based on the understanding of strategies which Russian families use for adaptation to a difficult economic situation in the country. This understanding is promoted by regular research into people’s consumer behaviour and by sociological surveys of savings strategies. Scientists are studying the investment behaviour of population. Consumer behaviour, savings behaviour and investment behaviour are the elements of economic behaviour of population. The integrated research into these components gives the greatest effect for enhancing the efficiency of social policy. The “Taganrog” Project is one of such integrated studies. This project has been implemented within forty years; its main purpose is to study various aspects of life of households in this southern city that used to be an industrial city
Economic Analysis of Agricultural Investments
Adrian ZUGRAVU
2009-01-01
Full Text Available The purpose of this paper is to introduce a modification of a standardfour input production process where energy is used in an inefficient way due topartly unnecessary waste of energy. The changes in production efficiencyinvestigated using stochastic frontier methods, show declining technicalefficiency in livestock production and especially low marginal contribution oflabor inputs. The number of workers, size of farm, and distance from nearestcity are related to efficiency in agricultural production. It is well known thatresults from an environmental policy in response to global climate change arequite sensitive to the assumption on the rate of energy efficiency improvements.However, technical progress is traditionally considered as a non-economicvariable in economic policy models. It is exogenous in most policy evaluationsas well as in the theory of environmental economics.
Pet overpopulation: An economic analysis
Coate, Stephen; Knight, Brian
2009-01-01
This paper considers the problem of pet overpopulation. It develops a tractable dynamic model whose positive predictions square well with key features of the current U.S. market for pets. The model is used to understand, from a welfare economic perspective, the sense in which there is \\overpopulation" of pets and the underlying causes of the problem. The paper also employs the model to consider what policies might be implemented to deal with the problem. A calibrated example is developed to i...
Kang, Sung Wook; Jang, Beom Seon [Seoul National University, Seoul (Korea, Republic of)
2014-10-15
A three-dimensional numerical model was constructed to analyze the heat transfer of friction stir welding using Fluent and ANSYS multi-physics. The analysis result was used to calculate welding deformation and residual stress. Before the numerical simulation, several simplifying assumptions were applied to the model. Three different methods of heat transfer analysis were employed, and several assumptions were applied to each heat source model. In this work, several parametric studies were performed for certain unspecified variables. The calculated temperature data were compared with experimental data from relevant studies. Additionally, the advantages and disadvantages of the three heat transfer analysis methods were compared.
Nonlinear Dynamical Analysis for the Cable Excited with Parametric and Forced Excitation
C. Z. Qian
2014-01-01
Full Text Available Considering the deck vibration effect on the cable in cable-stayed bridge, using nonlinear structure dynamics theory, the nonlinear dynamical equation for the stayed cable excited with deck vibration is proposed. Research shows that the vertical vibration of the deck has a combined parametric and forced excitation effect on the cable when the angle of the cable is taken into consideration. Using multiscale method, the 1/2 principle parametric resonance is studied and the bifurcation equation is obtained. Despite the parameters analysis, the bifurcation characters of the dynamical system are studied. At last, by means of numerical method and software MATHMATIC, the effect rules of system parameters to the dynamical behavior of the system are studied, and some useful conclusions are obtained.
XU Feng; ZOU Zao-jian; YIN Jian-chuan; CAO Jian
2012-01-01
The inherent strongly nonlinear and coupling performance of the Autonomous Underwater Vehicles (AUV),maneuvering motion in the diving plane determines its difficulty in parametric identification.The motion parameters in diving plane are obtained by executing the Zigzag-like motion based on a mathematical model of maneuvering motion.A separate identification method is put forward for parametric identification by investigating the motion equations.Support vector machine is proposed to estimate the hydrodynamic derivatives by analyzing the data of surge,heave and pitch motions.Compared with the standard coefficients,the identified parameters show the validation of the proposed identification method.Sensitivity analysis based on numerical simulation demonstrates that poor sensitive derivative gives bad estimation results.Finally the motion simulation is implemented based on the dominant sensitive derivatives to verify the reconstructed model.
Wei, Sha; Han, Qinkai; Peng, Zhike; Chu, Fulei
2016-05-01
Some system parameters in mechanical systems are always uncertain due to uncertainties in geometric and material properties, lubrication condition and wear. For a more reasonable estimation of dynamic analysis of the parametrically excited system, the effect of uncertain parameters should be taken into account. This paper presents a new non-probabilistic analysis method for solving the dynamic responses of parametrically excited systems under uncertainties and multi-frequency excitations. By using the multi-dimensional harmonic balance method (MHBM) and the Chebyshev inclusion function (CIF), an interval multi-dimensional harmonic balance method (IMHBM) is obtained. To illustrate the accuracy of the proposed method, a time-varying geared system of wind turbine with different kinds of uncertainties is demonstrated. By comparing with the results of the scanning method, it is shown that the presented method is valid and effective for the parametrically excited system with uncertainties and multi-frequency excitations. The effects of some uncertain system parameters including uncertain mesh stiffnesses and uncertain bearing stiffnesses on the frequency responses of the system are also discussed in detail. It is shown that the dynamic responses of the system are insensitive to the uncertain mesh stiffness and bearing stiffnesses of the planetary gear stage. The uncertain bearing stiffnesses of the intermediate and high-speed stages will lead to relatively large uncertainties in the dynamic responses around resonant regions. It will provide valuable guidance for the optimal design and condition monitoring of wind turbine gearboxes.
Survival Analysis of Patients with Breast Cancer using Weibull Parametric Model.
Baghestani, Ahmad Reza; Moghaddam, Sahar Saeedi; Majd, Hamid Alavi; Akbari, Mohammad Esmaeil; Nafissi, Nahid; Gohari, Kimiya
2015-01-01
The Cox model is known as one of the most frequently-used methods for analyzing survival data. However, in some situations parametric methods may provide better estimates. In this study, a Weibull parametric model was employed to assess possible prognostic factors that may affect the survival of patients with breast cancer. We studied 438 patients with breast cancer who visited and were treated at the Cancer Research Center in Shahid Beheshti University of Medical Sciences during 1992 to 2012; the patients were followed up until October 2014. Patients or family members were contacted via telephone calls to confirm whether they were still alive. Clinical, pathological, and biological variables as potential prognostic factors were entered in univariate and multivariate analyses. The log-rank test and the Weibull parametric model with a forward approach, respectively, were used for univariate and multivariate analyses. All analyses were performed using STATA version 11. A P-value lower than 0.05 was defined as significant. On univariate analysis, age at diagnosis, level of education, type of surgery, lymph node status, tumor size, stage, histologic grade, estrogen receptor, progesterone receptor, and lymphovascular invasion had a statistically significant effect on survival time. On multivariate analysis, lymph node status, stage, histologic grade, and lymphovascular invasion were statistically significant. The one-year overall survival rate was 98%. Based on these data and using Weibull parametric model with a forward approach, we found out that patients with lymphovascular invasion were at 2.13 times greater risk of death due to breast cancer.
Analysis of survival in breast cancer patients by using different parametric models
Enera Amran, Syahila; Asrul Afendi Abdullah, M.; Kek, Sie Long; Afiqah Muhamad Jamil, Siti
2017-09-01
In biomedical applications or clinical trials, right censoring was often arising when studying the time to event data. In this case, some individuals are still alive at the end of the study or lost to follow up at a certain time. It is an important issue to handle the censoring data in order to prevent any bias information in the analysis. Therefore, this study was carried out to analyze the right censoring data with three different parametric models; exponential model, Weibull model and log-logistic models. Data of breast cancer patients from Hospital Sultan Ismail, Johor Bahru from 30 December 2008 until 15 February 2017 was used in this study to illustrate the right censoring data. Besides, the covariates included in this study are the time of breast cancer infection patients survive t, age of each patients X1 and treatment given to the patients X2 . In order to determine the best parametric models in analysing survival of breast cancer patients, the performance of each model was compare based on Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) and log-likelihood value using statistical software R. When analysing the breast cancer data, all three distributions were shown consistency of data with the line graph of cumulative hazard function resembles a straight line going through the origin. As the result, log-logistic model was the best fitted parametric model compared with exponential and Weibull model since it has the smallest value in AIC and BIC, also the biggest value in log-likelihood.
Economic Analysis in Plain English: A Course in Economic Journalism.
Grunin, Lori; Lindauer, David L.
1986-01-01
Describes an experimental course designed as a journalism workshop where economics students became reporters writing articles on economic events, issues, and prominent economists and their ideas. The requirement to explain economics to lay readers accurately and clearly, developed the students' own economic literacy. (Author/JDH)
Takara, K. T.
2015-12-01
This paper describes a non-parametric frequency analysis method for hydrological extreme-value samples with a size larger than 100, verifying the estimation accuracy with a computer intensive statistics (CIS) resampling such as the bootstrap. Probable maximum values are also incorporated into the analysis for extreme events larger than a design level of flood control. Traditional parametric frequency analysis methods of extreme values include the following steps: Step 1: Collecting and checking extreme-value data; Step 2: Enumerating probability distributions that would be fitted well to the data; Step 3: Parameter estimation; Step 4: Testing goodness of fit; Step 5: Checking the variability of quantile (T-year event) estimates by the jackknife resampling method; and Step_6: Selection of the best distribution (final model). The non-parametric method (NPM) proposed here can skip Steps 2, 3, 4 and 6. Comparing traditional parameter methods (PM) with the NPM, this paper shows that PM often underestimates 100-year quantiles for annual maximum rainfall samples with records of more than 100 years. Overestimation examples are also demonstrated. The bootstrap resampling can do bias correction for the NPM and can also give the estimation accuracy as the bootstrap standard error. This NPM has advantages to avoid various difficulties in above-mentioned steps in the traditional PM. Probable maximum events are also incorporated into the NPM as an upper bound of the hydrological variable. Probable maximum precipitation (PMP) and probable maximum flood (PMF) can be a new parameter value combined with the NPM. An idea how to incorporate these values into frequency analysis is proposed for better management of disasters that exceed the design level. The idea stimulates more integrated approach by geoscientists and statisticians as well as encourages practitioners to consider the worst cases of disasters in their disaster management planning and practices.
Fractional State Space Analysis of Economic Systems
J. A. Tenreiro Machado
2015-07-01
Full Text Available This paper examines modern economic growth according to the multidimensional scaling (MDS method and state space portrait (SSP analysis. Electing GDP per capita as the main indicator for economic growth and prosperity, the long-run perspective from 1870 to 2010 identifies the main similarities among 34 world partners’ modern economic growth and exemplifies the historical waving mechanics of the largest world economy, the USA. MDS reveals two main clusters among the European countries and their old offshore territories, and SSP identifies the Great Depression as a mild challenge to the American global performance, when compared to the Second World War and the 2008 crisis.
PARAMETRIC ANALYSIS OF THE BUCKLING RESISTANCE OF THE SILO STEEL WALL
Skejić, Davor; Cavor, Marija
2015-01-01
The latest final draft amendment EN 1993-4-1:2007/FprA1 brings many changes that will likely soon become valid. In this article, we assess the issue of designing steel silo walls from perspective of the proposed changes related to assessing their buckling resistance. We performed a parametric analysis, comparing the current standard, HRN EN 1993-4-1, to the proposed amendment, EN 1993-4-1:2007/FprA1, accounting for the silo fabrication quality parameter as well as variations in steel quality,...
Lobach, I.; Benediktovitch, A.
2016-07-01
The possibility of quantitative texture analysis by means of parametric x-ray radiation (PXR) from relativistic electrons with Lorentz factor γ > 50MeV in a polycrystal is considered theoretically. In the case of rather smooth orientation distribution function (ODF) and large detector (θD >> 1/γ) the universal relation between ODF and intensity distribution is presented. It is shown that if ODF is independent on one from Euler angles, then the texture is fully determined by angular intensity distribution. Application of the method to the simulated data shows the stability of the proposed algorithm.
Near-field heat transfer between graphene monolayers: Dispersion relation and parametric analysis
Yin, Ge; Yang, Jiang; Ma, Yungui
2016-12-01
Plasmon polaritons in graphene can enhance near-field heat transfer. In this work, we give a complete parametric analysis on the near-field heat transfer between two graphene monolayers that allows transfer efficiencies several orders-of-magnitude larger than blackbody radiation. Influences of major parameters are conclusively clarified from the changes of the interlayer supermode coupling and their dispersion relations. The method to maximize the near-field heat flux is discussed. The generalized Stefan-Boltzmann formula is proposed to describe the near-field heat transfer dominated by evanescent wave tunneling. Our results are of practical significance in guiding the design of thermal management systems.
Marston, C. H.; Alyea, F. N.; Bender, D. J.; Davis, L. K.; Dellinger, T. C.; Hnat, J. G.; Komito, E. H.; Peterson, C. A.; Rogers, D. A.; Roman, A. J.
1980-01-01
The performance and cost of moderate technology coal-fired open cycle MHD/steam power plant designs which can be expected to require a shorter development time and have a lower development cost than previously considered mature OCMHD/steam plants were determined. Three base cases were considered: an indirectly-fired high temperature air heater (HTAH) subsystem delivering air at 2700 F, fired by a state of the art atmospheric pressure gasifier, and the HTAH subsystem was deleted and oxygen enrichment was used to obtain requisite MHD combustion temperature. Coal pile to bus bar efficiencies in ease case 1 ranged from 41.4% to 42.9%, and cost of electricity (COE) was highest of the three base cases. For base case 2 the efficiency range was 42.0% to 45.6%, and COE was lowest. For base case 3 the efficiency range was 42.9% to 44.4%, and COE was intermediate. The best parametric cases in bases cases 2 and 3 are recommended for conceptual design. Eventual choice between these approaches is dependent on further evaluation of the tradeoffs among HTAH development risk, O2 plant integration, and further refinements of comparative costs.
An Interactive Software for Conceptual Wing Flutter Analysis and Parametric Study
Mukhopadhyay, Vivek
1996-01-01
An interactive computer program was developed for wing flutter analysis in the conceptual design stage. The objective was to estimate the flutter instability boundary of a flexible cantilever wing, when well-defined structural and aerodynamic data are not available, and then study the effect of change in Mach number, dynamic pressure, torsional frequency, sweep, mass ratio, aspect ratio, taper ratio, center of gravity, and pitch inertia, to guide the development of the concept. The software was developed for Macintosh or IBM compatible personal computers, on MathCad application software with integrated documentation, graphics, data base and symbolic mathematics. The analysis method was based on non-dimensional parametric plots of two primary flutter parameters, namely Regier number and Flutter number, with normalization factors based on torsional stiffness, sweep, mass ratio, taper ratio, aspect ratio, center of gravity location and pitch inertia radius of gyration. The parametric plots were compiled in a Vought Corporation report from a vast data base of past experiments and wind-tunnel tests. The computer program was utilized for flutter analysis of the outer wing of a Blended-Wing-Body concept, proposed by McDonnell Douglas Corp. Using a set of assumed data, preliminary flutter boundary and flutter dynamic pressure variation with altitude, Mach number and torsional stiffness were determined.
Economic analysis of nuclear energy
Song, Ki Dong; Lee, M. K.; Moon, K. H.; Kim, S. S.; Lim, C. Y.; Kim, H. S
2000-12-01
This study identified the role of nuclear energy in the following three major aspects. First of all, this study carried out cost effectiveness of nuclear as a CDM technology, which is one of means of GHG emission reduction in UNFCCC. Secondly, environmental externalities caused by air pollutants emitted by power options were estimated. The 'observed market behaviour' method and 'responses to hypothetical market' method were used to estimate objectively the environmental external costs by electric source, respectively. Finally, the role of nuclear power in securing electricity supply in a liberalized electricity market was analyzed. This study made efforts to investigate whether nuclear power generation with high investment cost could be favored in a liberalized market by using 'option value' analysis of investments.
Economic analysis of nuclear energy
Song, Ki Dong; Lee, M. K.; Moon, K. H.; Kim, S. S.; Lim, C. Y.; Kim, H. S
2000-12-01
This study identified the role of nuclear energy in the following three major aspects. First of all, this study carried out cost effectiveness of nuclear as a CDM technology, which is one of means of GHG emission reduction in UNFCCC. Secondly, environmental externalities caused by air pollutants emitted by power options were estimated. The 'observed market behaviour' method and 'responses to hypothetical market' method were used to estimate objectively the environmental external costs by electric source, respectively. Finally, the role of nuclear power in securing electricity supply in a liberalized electricity market was analyzed. This study made efforts to investigate whether nuclear power generation with high investment cost could be favored in a liberalized market by using 'option value' analysis of investments.
Makeeva, G. S.; Golovanov, O. A.; Kouzaev, G. A.
2017-07-01
A rigorous mathematical model for graphene-based parametric devices based on the Maxwell`s equations, where the graphene surface conductivity is determined as the nonlinear function on the electric field intensity, is developed. The projection method is applied to solve the 2D nonlinear diffraction boundary problem. Using the computational algorithm based on autonomous blocks with the Floquet channels, a parametric THz device based on a multilayer graphene-dielectric nanostructure is numerically modeled. The numerical analysis shows that this graphene-based device, simulated here at a 14.15 THz, can demonstrate the parametric amplification of signals. The instability regions of the parametric generation in this tunable THz device are calculated depending on the magnitude and frequency of the pumping TEM-wave by computing the determinant of an obtained system of linearized equations.
Jing, Xingjian
2015-01-01
This book is a systematic summary of some new advances in the area of nonlinear analysis and design in the frequency domain, focusing on the application oriented theory and methods based on the GFRF concept, which is mainly done by the author in the past 8 years. The main results are formulated uniformly with a parametric characteristic approach, which provides a convenient and novel insight into nonlinear influence on system output response in terms of characteristic parameters and thus facilitate nonlinear analysis and design in the frequency domain. The book starts with a brief introduction to the background of nonlinear analysis in the frequency domain, followed by recursive algorithms for computation of GFRFs for different parametric models, and nonlinear output frequency properties. Thereafter the parametric characteristic analysis method is introduced, which leads to the new understanding and formulation of the GFRFs, and nonlinear characteristic output spectrum (nCOS) and the nCOS based analysis a...
Analysis Economics of Realizing Mass Customization
WANG Jiuhe; XIA Yan; FANG Shufen
2006-01-01
This paper breaks through the old study pattern, emphasizing the important of economic analysis and put forward the analytic method. The paper compares mass customization to just-in-time, analyses the two facets which include production and distribution. The production facet is influence of the indirect cost, scale economy, experiences economy and dynamic alliance. The reduction of indirect cost is the innovation, which has special angle comparatively traditional economic analysis. There is gaming between satisfying customer special demand and deciding price. Mass customization emphasizes that customer must achieve to loyalty not only content without increasing extra service charge-faith in company and product. The paper sets forth the economics of scale economy and dynamic alliance to embody the extensive economy. In addition it is another innovation that this paper analyses the defects of mass customization to evaluate the economic risk. Through comparing the traditional production mode, demonstrating the implement feasibility in company. That is mass customization has less economic risk whether or not. So the analysis proposes the evidences of the way of enterprise production.
17 CFR 200.23a - Office of Economic Analysis.
2010-04-01
... Office also assists the Commission's enforcement effort by applying economic analysis and statistical... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Office of Economic Analysis... Organization § 200.23a Office of Economic Analysis. The Office of Economic Analysis is responsible...
A Semi-parametric Bayesian Approach for Differential Expression Analysis of RNA-seq Data.
Liu, Fangfang; Wang, Chong; Liu, Peng
2015-12-01
RNA-sequencing (RNA-seq) technologies have revolutionized the way agricultural biologists study gene expression as well as generated a tremendous amount of data waiting for analysis. Detecting differentially expressed genes is one of the fundamental steps in RNA-seq data analysis. In this paper, we model the count data from RNA-seq experiments with a Poisson-Gamma hierarchical model, or equivalently, a negative binomial (NB) model. We derive a semi-parametric Bayesian approach with a Dirichlet process as the prior model for the distribution of fold changes between the two treatment means. An inference strategy using Gibbs algorithm is developed for differential expression analysis. The results of several simulation studies show that our proposed method outperforms other methods including the popularly applied edgeR and DESeq methods. We also discuss an application of our method to a dataset that compares gene expression between bundle sheath and mesophyll cells in maize leaves.
A bifurcation analysis of boiling water reactor on large domain of parametric spaces
Pandey, Vikas; Singh, Suneet
2016-09-01
The boiling water reactors (BWRs) are inherently nonlinear physical system, as any other physical system. The reactivity feedback, which is caused by both moderator density and temperature, allows several effects reflecting the nonlinear behavior of the system. Stability analyses of BWR is done with a simplified, reduced order model, which couples point reactor kinetics with thermal hydraulics of the reactor core. The linear stability analysis of the BWR for steady states shows that at a critical value of bifurcation parameter (i.e. feedback gain), Hopf bifurcation occurs. These stable and unstable domains of parametric spaces cannot be predicted by linear stability analysis because the stability of system does not include only stability of the steady states. The stability of other dynamics of the system such as limit cycles must be included in study of stability. The nonlinear stability analysis (i.e. bifurcation analysis) becomes an indispensable component of stability analysis in this scenario. Hopf bifurcation, which occur with one free parameter, is studied here and it formulates birth of limit cycles. The excitation of these limit cycles makes the system bistable in the case of subcritical bifurcation whereas stable limit cycles continues in an unstable region for supercritical bifurcation. The distinction between subcritical and supercritical Hopf is done by two parameter analysis (i.e. codimension-2 bifurcation). In this scenario, Generalized Hopf bifurcation (GH) takes place, which separates sub and supercritical Hopf bifurcation. The various types of bifurcation such as limit point bifurcation of limit cycle (LPC), period doubling bifurcation of limit cycles (PD) and Neimark-Sacker bifurcation of limit cycles (NS) have been identified with the Floquet multipliers. The LPC manifests itself as the region of bistability whereas chaotic region exist because of cascading of PD. This region of bistability and chaotic solutions are drawn on the various
Economic impact assessment in pest risk analysis
Soliman, T.A.A.; Mourits, M.C.M.; Oude Lansink, A.G.J.M.; Werf, van der W.
2010-01-01
According to international treaties, phytosanitary measures against introduction and spread of invasive plant pests must be justified by a science-based pest risk analysis (PRA). Part of the PRA consists of an assessment of potential economic consequences. This paper evaluates the main available tec
Ruixiong Li
2016-12-01
Full Text Available The compressed air energy storage (CAES system, considered as one method for peaking shaving and load-levelling of the electricity system, has excellent characteristics of energy storage and utilization. However, due to the waste heat existing in compressed air during the charge stage and exhaust gas during the discharge stage, the efficient operation of the conventional CAES system has been greatly restricted. The Kalina cycle (KC and organic Rankine cycle (ORC have been proven to be two worthwhile technologies to fulfill the different residual heat recovery for energy systems. To capture and reuse the waste heat from the CAES system, two systems (the CAES system combined with KC and ORC, respectively are proposed in this paper. The sensitivity analysis shows the effect of the compression ratio and the temperature of the exhaust on the system performance: the KC-CAES system can achieve more efficient operation than the ORC-CAES system under the same temperature of exhaust gas; meanwhile, the larger compression ratio can lead to the higher efficiency for the KC-CAES system than that of ORC-CAES with the constant temperature of the exhaust gas. In addition, the evolutionary multi-objective algorithm is conducted between the thermodynamic and economic performances to find the optimal parameters of the two systems. The optimum results indicate that the solutions with an exergy efficiency of around 59.74% and 53.56% are promising for KC-CAES and ORC-CAES system practical designs, respectively.
Parametric distribution approach for flow availability in small hydro potential analysis
Abdullah, Samizee; Basri, Mohd Juhari Mat; Jamaluddin, Zahrul Zamri; Azrulhisham, Engku Ahmad; Othman, Jamel
2016-10-01
Small hydro system is one of the important sources of renewable energy and it has been recognized worldwide as clean energy sources. Small hydropower generation system uses the potential energy in flowing water to produce electricity is often questionable due to inconsistent and intermittent of power generated. Potential analysis of small hydro system which is mainly dependent on the availability of water requires the knowledge of water flow or stream flow distribution. This paper presented the possibility of applying Pearson system for stream flow availability distribution approximation in the small hydro system. By considering the stochastic nature of stream flow, the Pearson parametric distribution approximation was computed based on the significant characteristic of Pearson system applying direct correlation between the first four statistical moments of the distribution. The advantage of applying various statistical moments in small hydro potential analysis will have the ability to analyze the variation shapes of stream flow distribution.
Parametric analysis of fMRI data using linear systems methods.
Cohen, M S
1997-08-01
Using a model of the functional MRI (fMRI) impulse response based on published data, we have demonstrated that the form of the fMRI response to stimuli of freely varied timing can be modeled well by convolution of the impulse response with the behavioral stimulus. The amplitudes of the responses as a function of parametrically varied behavioral conditions are fitted well using a piecewise linear approximation. Use of the combined model, in conjunction with correlation analysis, results in an increase in sensitivity for the MRI study. This approach, based on the well-established methods of linear systems analysis, also allows a quantitative comparison of the response amplitudes across subjects to a broad range of behavioral conditions. Fit parameters, derived from the amplitude data, are relatively insensitive to a variety of MRI-related artifacts and yield results that are compared readily across subjects.
Analytical and Numerical funicular analysis by means of the Parametric Force Density Method
C. Cercadillo-García
2016-04-01
Full Text Available The funicular concept has often been used in different stages of structural analysis and design. This paper presents two new methods: Analytical, A-FDM, and Numerical method, N-FDM, based on a parametric application of the original Force Density Method (FDM. This is an especially useful way of visualizing a set of solutions and optimizing, i.e. selecting one specific funicular related to a set of constraints. Two structural algorithms are implemented iteratively with Maple® in real time, and output is also linked to AutoCAD®. Maple® facilitates control of geometrical constraints, while AutoCAD® helps to show all parameterized data. Because of their practical interest, special emphasis is placed on masonry structures using a Limit Analysis approach and preliminary design. Examples of the application of both methods are depicted.
Jeffries, K. S.; Renz, D. D.
1984-01-01
A parametric analysis was performed of transmission cables for transmitting electrical power at high voltage (up to 1000 V) and high frequency (10 to 30 kHz) for high power (100 kW or more) space missions. Large diameter (5 to 30 mm) hollow conductors were considered in closely spaced coaxial configurations and in parallel lines. Formulas were derived to calculate inductance and resistance for these conductors. Curves of cable conductance, mass, inductance, capacitance, resistance, power loss, and temperature were plotted for various conductor diameters, conductor thickness, and alternating current frequencies. An example 5 mm diameter coaxial cable with 0.5 mm conductor thickness was calculated to transmit 100 kW at 1000 Vac, 50 m with a power loss of 1900 W, an inductance of 1.45 micron and a capacitance of 0.07 micron-F. The computer programs written for this analysis are listed in the appendix.
XU,J.; DEGRASSI,G.
2000-04-02
A comprehensive benchmark program was developed by Brookhaven National Laboratory (BNL) to perform an evaluation of state-of-the-art methods and computer programs for performing seismic analyses of coupled systems with non-classical damping. The program, which was sponsored by the US Nuclear Regulatory Commission (NRC), was designed to address various aspects of application and limitations of these state-of-the-art analysis methods to typical coupled nuclear power plant (NPP) structures with non-classical damping, and was carried out through analyses of a set of representative benchmark problems. One objective was to examine the applicability of various analysis methods to problems with different dynamic characteristics unique to coupled systems. The examination was performed using parametric variations for three simple benchmark models. This paper presents the comparisons and evaluation of the program participants' results to the BNL exact solutions for the applicable ranges of modeling dynamic characteristic parameters.
Marco Borri
Full Text Available To describe a methodology, based on cluster analysis, to partition multi-parametric functional imaging data into groups (or clusters of similar functional characteristics, with the aim of characterizing functional heterogeneity within head and neck tumour volumes. To evaluate the performance of the proposed approach on a set of longitudinal MRI data, analysing the evolution of the obtained sub-sets with treatment.The cluster analysis workflow was applied to a combination of dynamic contrast-enhanced and diffusion-weighted imaging MRI data from a cohort of squamous cell carcinoma of the head and neck patients. Cumulative distributions of voxels, containing pre and post-treatment data and including both primary tumours and lymph nodes, were partitioned into k clusters (k = 2, 3 or 4. Principal component analysis and cluster validation were employed to investigate data composition and to independently determine the optimal number of clusters. The evolution of the resulting sub-regions with induction chemotherapy treatment was assessed relative to the number of clusters.The clustering algorithm was able to separate clusters which significantly reduced in voxel number following induction chemotherapy from clusters with a non-significant reduction. Partitioning with the optimal number of clusters (k = 4, determined with cluster validation, produced the best separation between reducing and non-reducing clusters.The proposed methodology was able to identify tumour sub-regions with distinct functional properties, independently separating clusters which were affected differently by treatment. This work demonstrates that unsupervised cluster analysis, with no prior knowledge of the data, can be employed to provide a multi-parametric characterization of functional heterogeneity within tumour volumes.
Borri, Marco; Schmidt, Maria A; Powell, Ceri; Koh, Dow-Mu; Riddell, Angela M; Partridge, Mike; Bhide, Shreerang A; Nutting, Christopher M; Harrington, Kevin J; Newbold, Katie L; Leach, Martin O
2015-01-01
To describe a methodology, based on cluster analysis, to partition multi-parametric functional imaging data into groups (or clusters) of similar functional characteristics, with the aim of characterizing functional heterogeneity within head and neck tumour volumes. To evaluate the performance of the proposed approach on a set of longitudinal MRI data, analysing the evolution of the obtained sub-sets with treatment. The cluster analysis workflow was applied to a combination of dynamic contrast-enhanced and diffusion-weighted imaging MRI data from a cohort of squamous cell carcinoma of the head and neck patients. Cumulative distributions of voxels, containing pre and post-treatment data and including both primary tumours and lymph nodes, were partitioned into k clusters (k = 2, 3 or 4). Principal component analysis and cluster validation were employed to investigate data composition and to independently determine the optimal number of clusters. The evolution of the resulting sub-regions with induction chemotherapy treatment was assessed relative to the number of clusters. The clustering algorithm was able to separate clusters which significantly reduced in voxel number following induction chemotherapy from clusters with a non-significant reduction. Partitioning with the optimal number of clusters (k = 4), determined with cluster validation, produced the best separation between reducing and non-reducing clusters. The proposed methodology was able to identify tumour sub-regions with distinct functional properties, independently separating clusters which were affected differently by treatment. This work demonstrates that unsupervised cluster analysis, with no prior knowledge of the data, can be employed to provide a multi-parametric characterization of functional heterogeneity within tumour volumes.
Mohamad Ramadan
2015-09-01
Full Text Available In the last three decades, the world has experienced enormous increases in energy and fuel consumption as a consequence of the economic and population growth. This causes renewable energy and energy recovery to become a requirement in building designs rather than option. The present work concerns a coupling between energy recovery and Heating, Ventilating and Air Conditioning HVAC domains and aims to apply heat recovery concepts to HVAC applications working on refrigeration cycles. It particularly uses the waste energy of the condenser hot air to heat/preheat domestic water. The heat exchanger considered in the recovery system is concentric tube heat exchanger. A thermal modeling of the complete system as well as a corresponding iterative code are developed and presented. Calculations with the code are performed and give pertinent magnitude orders of energy saving and management in HVAC applications. A parametric analysis based on several water and air flow rates is carried out. It was shown that water can be heated from 25 to 70 °C depending on the mass flow rates and cooling loads of the HVAC system. The most efficient configurations are obtained by lowering the air flow rate of the condenser fan.
An economic analysis of communal goat production
P.J. Sebei
2004-06-01
Full Text Available The economic impact of different extension messages used was calculated using enterprise budgeting (gross margin analysis. Input data were gleaned from the literature, from participatory appraisals, as well as a field study, spanning 12 months, of small-scalecommunal goat farming systems in Jericho in the Odi District of NorthWest Province. The number of offspring weaned per annum, as a proportion of does owned, was selected as the desired output for analysis. This study has shown that small-scale communal goat farmers are not adopting or implementing extension messages to improve production capacity. In south Africa the majority of goats are slaughtered in the informal sector. If the informal sector is to be persuaded to market goats commercially through formal channels, then knowledge of the economics of goat farming on communal lands should be provided. The economic aspects of extension messages are probably an important factor in determining acceptance and sustainability yet appear to be seldom investigated. The probable reason for lack of adoption of standard extension messages, which promote improved nutrition, parasite control, vaccination and treatment of goats, was economic. In other words, the so-called 'poor management practices' used by communal farmers appeared to be economically more profitable than the 'good management practices' suggested to increase production. The price of communal goats was not related to their mass. A higher level of inputs would probably have resulted in a heavier kid, however it was established that this would not have influenced the price received as a majority of the goats were slaughtered for ritual purposes where age, colour and sex were more important to the purchaser than body mass. It is standard practice in commercial farming systems to evaluate the economic benefits of all management practices before they are implemented. Production animal veterinarians use veterinary economics to compare different
VINTAN, M.
2016-02-01
Full Text Available The ground fault current distribution in an effectively grounded power network is affected by various factors, such as: tower footing impedances, spans lengths, configuration and parameters of overhead ground wires and power conductors, soil resistivity etc. In this paper, we comparatively analyze, using different models, the ground fault current distribution in a single circuit transmission line with one ground wire. A parametric comparative analysis was done in order to study the effects of the non-uniformity of the towers footing impedances, number of power lines spans, soil resistivity, grounding systems resistances of the terminal substations etc., on the ground fault current distribution. There are presented some useful qualitative and quantitative results obtained through a complex dedicated developed MATLAB 7.0 program.
Parametric Sensitivity Analysis for Stochastic Molecular Systems using Information Theoretic Metrics
Tsourtis, Anastasios; Katsoulakis, Markos A; Harmandaris, Vagelis
2014-01-01
In this paper we extend the parametric sensitivity analysis (SA) methodology proposed in Ref. [Y. Pantazis and M. A. Katsoulakis, J. Chem. Phys. 138, 054115 (2013)] to continuous time and continuous space Markov processes represented by stochastic differential equations and, particularly, stochastic molecular dynamics as described by the Langevin equation. The utilized SA method is based on the computation of the information-theoretic (and thermodynamic) quantity of relative entropy rate (RER) and the associated Fisher information matrix (FIM) between path distributions. A major advantage of the pathwise SA method is that both RER and pathwise FIM depend only on averages of the force field therefore they are tractable and computable as ergodic averages from a single run of the molecular dynamics simulation both in equilibrium and in non-equilibrium steady state regimes. We validate the performance of the extended SA method to two different molecular stochastic systems, a standard Lennard-Jones fluid and an al...
ZHANG Hong-wu; WANG Hui
2006-01-01
The Voronoi cell finite element method (VCFEM) is adopted to overcome the limitations of the classic displacement based finite element method in the numerical simulation of heterogeneous materials. The parametric variational principle and quadratic programming method are developed for elastic-plastic Voronoi finite element analysis of two-dimensional problems. Finite element formulations are derived and a standard quadratic programming model is deduced from the elastic-plastic equations. Influence of microscopic heterogeneities on the overall mechanical response of heterogeneous materials is studied in detail. The overall properties of heterogeneous materials depend mostly on the size, shape and distribution of the material phases of the microstructure. Numerical examples are presented to demonstrate the validity and effectiveness of the method developed.
Ethanol production by enzymatic hydrolysis: parametric analysis of a base-case process
Isaacs, S.H.
1984-05-01
A base-case flowsheet for an enzymatic hydrolysis process is presented. Included is a parametric sensitivity analysis to identify key research issues and an assessment of this technology. The plant discussed is a large-scale facility, producing 50 million gallons of ethanol per year. The plant design is based on the process originally conceived by the US National Army Command and consists of these process steps: pretreatment; enzyme production; enzyme hydrolysis; fermentation; and distillation. The base-case design parameters are based on recent laboratory data from Lawrence Berkeley Laboratories and the University of California at Berkeley. The selling price of ethanol is used to compare variations in the base-case operating parameters, which include hydrolysis efficiencies, capital costs, enzyme production efficiencies, and enzyme recycle. 28 references, 38 figures, 8 tables.
M. Shanmugapriya
2015-06-01
Full Text Available A compact and simple design of a CPW-fed planar antenna for wireless sensor network antenna application with a better size reduction is presented. The proposed antenna consists of an inverted ? shaped metal patch on a printed circuit board fed by a 50-O coplanar waveguide (CPW. The parametric analysis of length and width are made. The designed antenna’s physical dimensions are 32 mm (length x 26 mm (width x 1.6 mm (height. The antenna structure has been modeled and fabricated and its performance has been evaluated using a method of moment based electromagnetic simulator, IE3D .The return loss of -22.5 dB and VSWR of 1.34 dB are noted. The radiation pattern of the antenna proves that it radiates in all direction. The antenna is fabricated and tested and the measured results go in good agreement with simulated one.
Economic analysis of sustainable management of candeia
Antonio Donizette de Oliveira
2010-09-01
Full Text Available Candeia wood (Eremanthus erythropappus is widely used for production of essential oil and its active ingredient,alpha-bisabolol, is consumed by both the cosmetics and pharmaceutical industry. This study aimed to determine the productivity andoperating costs associated with exploration, transportation and commercialization of candeia timber obtained from sustainablemanagement systems and used for oil production; to determine the gross income or revenue obtained from the sale of candeia timber;to analyze the economic feasibility of sustainable management of candeia. For the economic analysis, Net Present Value, Net PresentValue over an infinite planning horizon, and Average Cost of Production methods were used. Results indicated that the mostsignificant costs associated with candeia forest management involve transportation and exploration. Together they account for 64%of the total management cost. Candeia forest management for oil production is economically feasible, even in situations where theinterest rate is high or timber price drops to levels well below currently effective prices. As far as candeia forest management isconcerned, shorter harvest cycles allow higher profitability. However, even in situations where the harvest cycle is relatively long (30years, the activity is still economically feasible.
Scharfstein, Daniel; McDermott, Aidan; Díaz, Iván; Carone, Marco; Lunardon, Nicola; Turkoz, Ibrahim
2017-05-23
In practice, both testable and untestable assumptions are generally required to draw inference about the mean outcome measured at the final scheduled visit in a repeated measures study with drop-out. Scharfstein et al. (2014) proposed a sensitivity analysis methodology to determine the robustness of conclusions within a class of untestable assumptions. In their approach, the untestable and testable assumptions were guaranteed to be compatible; their testable assumptions were based on a fully parametric model for the distribution of the observable data. While convenient, these parametric assumptions have proven especially restrictive in empirical research. Here, we relax their distributional assumptions and provide a more flexible, semi-parametric approach. We illustrate our proposal in the context of a randomized trial for evaluating a treatment of schizoaffective disorder. © 2017, The International Biometric Society.
BERCENI VILLAGE - A SOCIAL-ECONOMICAL ANALYSIS
Adina IORGA
2014-06-01
Full Text Available Rural modernization aims at maintaining rural societies through occupational diversification that will improvequality of life and avoid rural exodus. It aims to acquire some features of the modern world such as those related totechnical, increased productivity, infrastructure, whereby rural community enriches its identity, acquiring newmeanings.This study is a close social-economical analysis of the countryside households of Berceni village. Berceniis in the southern county of Ilfov near Bucharest. It is based on the statistical data provided by National Institute ofStatistics. The data have been processed into the following indicators:age structure and gender, births and deaths,feminization, migration .Considering that human resources is the main factor in developing and moderinization ofrural space, this study is aimed to investigate as well, the posibility of diversifying inhabitants’ occupationsaccording to pshicologycal, social and economical resources.
National Launch System comparative economic analysis
Prince, A.
1992-01-01
Results are presented from an analysis of economic benefits (or losses), in the form of the life cycle cost savings, resulting from the development of the National Launch System (NLS) family of launch vehicles. The analysis was carried out by comparing various NLS-based architectures with the current Shuttle/Titan IV fleet. The basic methodology behind this NLS analysis was to develop a set of annual payload requirements for the Space Station Freedom and LEO, to design launch vehicle architectures around these requirements, and to perform life-cycle cost analyses on all of the architectures. A SEI requirement was included. Launch failure costs were estimated and combined with the relative reliability assumptions to measure the effects of losses. Based on the analysis, a Shuttle/NLS architecture evolving into a pressurized-logistics-carrier/NLS architecture appears to offer the best long-term cost benefit.
THE ECONOMIC ANALYSIS OF WATER IN TURKEY
Filiz TUTAR
2012-06-01
Full Text Available Among the global problems since we met the phenomenon of globalization, the water has also taken its place. Economic analysis of water have become a topic of examination by many economist in recent years. Water is one of the important needs of human life. Water has an important place in respect of its role in maintaining a healty way of life. However, our country’s water resources are getting polluted day by day and the amount of water need the per capita is inceasing fast year by year due to population growth. Water quality can not be observed in Turkey and the necessarydata bank is unable to be formed. Protection of water resources and the evaluation of if in accordance with beneficial use can be only done with an integrated management mechanism. The purpose of this study is to make economic analysis of water located in natural resources. In this context the analysis of water supply and demand, the place of water in the economy, water resources and use of them in Turkey, in the World and EU, finally SWOT analysis of Turkey in terms of water resources were performed.
A Bayesian Semi-parametric Approach for the Differential Analysis of Sequence Counts Data.
Guindani, Michele; Sepúlveda, Nuno; Paulino, Carlos Daniel; Müller, Peter
2014-04-01
Data obtained using modern sequencing technologies are often summarized by recording the frequencies of observed sequences. Examples include the analysis of T cell counts in immunological research and studies of gene expression based on counts of RNA fragments. In both cases the items being counted are sequences, of proteins and base pairs, respectively. The resulting sequence-abundance distribution is usually characterized by overdispersion. We propose a Bayesian semi-parametric approach to implement inference for such data. Besides modeling the overdispersion, the approach takes also into account two related sources of bias that are usually associated with sequence counts data: some sequence types may not be recorded during the experiment and the total count may differ from one experiment to another. We illustrate our methodology with two data sets, one regarding the analysis of CD4+ T cell counts in healthy and diabetic mice and another data set concerning the comparison of mRNA fragments recorded in a Serial Analysis of Gene Expression (SAGE) experiment with gastrointestinal tissue of healthy and cancer patients.
Zhaohui Yang
2016-01-01
Full Text Available In an automotive powertrain system, the cylinder liner is one of the most critical components which possesses the intricate structural configurations coupled with complex pattern of various operational loads. This paper attempts to develop a concrete and practical procedure for the optimization of cylinder liner distortion for achieving future requirements regarding exhaust emissions, fuel economy, and oil consumptions. First, numerical calculation based on finite element method (FEM and computational fluid dynamics (CFD is performed to capture the mechanism of cylinder liner distortion under actual engine operation conditions. Then, a spectrum analysis approach is developed to describe the distribution characteristic of operational loads (thermal and mechanical around the circumference of a distorted cylinder bore profile; the FFT procedure provides an efficient way to implement this calculation. With this approach, a relationship between the dominant order of distortion and special operational load is obtained; the design features which are critically relative to cylinder liner distortion are also identified through spectrum analysis. After characterizing the variation tendency of each dominant order of distortion through parametric analysis, a new design scheme is established to implement the distortion optimization. Simulation results indicate that a much better solution is obtained by using the proposed scheme.
Parametric modelling of a knee joint prosthesis.
Khoo, L P; Goh, J C; Chow, S L
1993-01-01
This paper presents an approach for the establishment of a parametric model of knee joint prosthesis. Four different sizes of a commercial prosthesis are used as an example in the study. A reverse engineering technique was employed to reconstruct the prosthesis on CATIA, a CAD (computer aided design) system. Parametric models were established as a result of the analysis. Using the parametric model established and the knee data obtained from a clinical study on 21 pairs of cadaveric Asian knees, the development of a prototype prosthesis that suits a patient with a very small knee joint is presented. However, it was found that modification to certain parameters may be inevitable due to the uniqueness of the Asian knee. An avenue for rapid modelling and eventually economical production of a customized knee joint prosthesis for patients is proposed and discussed.
I. K. Romanova
2017-01-01
Full Text Available Bauman Moscow State Technical University, MoscowКалининградский государственный технический университет, КалининградThe article considers practical application aspects of various imaging techniques for parametric analysis of control systems. It is interpreted as a multivariate analysis aimed at studying the influence of external and internal parameters of the system on the quality of its functioning determined by direct and indirect quality criteria. The ultimate goal is to identify regions in the parameter space to provide an appropriate quality of the system. It is noted that visualization is a very important task-supporting aid for a designer to make decision. Stressed that the problem of parametric studies, in most cases, intersects with the major problem of inconsistency of separate partial criteria, i.e., the problem of multi-criteria optimization (MCO. Therefore, the aim of the article was to solve a joint task of visualization and multi-criteria optimization.The article considers traditional types of visualization in deterministic tasks (a 3-D graphics, plotting contour lines, gradient fields, Andrews curves, parallel coordinates, as well as methods used in statistics (graph matrices, etc.. Testing these methods as applied to the practical task of studying a double-circuit stabilization system allowed formulation of requirements for imaging techniques with multiple criteria.Provides a new perspective on using the traditional means to significantly enhance information capacity of imaging. A generic method of visualization is represented as a three-phase study agreed with the task of finding the compromise solutions. The first phase of the research involved identifying the monotony and contra-monotony domains. The second phase was aimed at identifying a region of compromise, or a weak Pareto optimum. The third phase involved the search for a consistent optimum (strong Pareto
Economic analysis of recycling contaminated concrete
Stephen, A.; Ayers, K.W.; Boren, J.K.; Parker, F.L. [Vanderbilt Univ., Nashville, TN (United States)
1997-02-01
Decontamination and Decommissioning activities in the DOE complex generate large volumes of radioactively contaminated and uncontaminated concrete. Currently, this concrete is usually decontaminated, the contaminated waste is disposed of in a LLW facility and the decontaminated concrete is placed in C&D landfills. A number of alternatives to this practice are available including recycling of the concrete. Cost estimates for six alternatives were developed using a spreadsheet model. The results of this analysis show that recycling alternatives are at least as economical as current practice.
A parametric FE modeling of brake for non-linear analysis
Ibrahim Ahmed, Yasser Fatouh, Wael Aly
2014-01-01
Full Text Available A parametric modeling of a drum brake based on 3-D Finite Element Methods (FEM for non-contact analysis is presented. Many parameters are examined during this study such as the effect of drum-lining interface stiffness, coefficient of friction, and line pressure on the interface contact. Firstly, the modal analysis of the drum brake is also studied to get the natural frequency and instability of the drum to facilitate transforming the modal elements to non-contact elements. It is shown that the Unsymmetric solver of the modal analysis is efficient enough to solve this linear problem after transforming the non-linear behavior of the contact between the drum and the lining to a linear behavior. A SOLID45 which is a linear element is used in the modal analysis and then transferred to non-linear elements which are Targe170 and Conta173 that represent the drum and lining for contact analysis study. The contact analysis problems are highly non-linear and require significant computer resources to solve it, however, the contact problem give two significant difficulties. Firstly, the region of contact is not known based on the boundary conditions such as line pressure, and drum and friction material specs. Secondly, these contact problems need to take the friction into consideration. Finally, it showed a good distribution of the nodal reaction forces on the slotted lining contact surface and existing of the slot in the middle of the lining can help in wear removal due to the friction between the lining and the drum. Accurate contact stiffness can give a good representation for the pressure distribution between the lining and the drum. However, a full contact of the front part of the slotted lining could occur in case of 20, 40, 60 and 80 bar of piston pressure and a partially contact between the drum and lining can occur in the rear part of the slotted lining.
Reis, Yara; Bernardo-Faura, Marti; Richter, Daniela; Wolf, Thomas; Brors, Benedikt; Hamacher-Brady, Anne; Eils, Roland; Brady, Nathan R
2012-01-01
Mitochondria exist as a network of interconnected organelles undergoing constant fission and fusion. Current approaches to study mitochondrial morphology are limited by low data sampling coupled with manual identification and classification of complex morphological phenotypes. Here we propose an integrated mechanistic and data-driven modeling approach to analyze heterogeneous, quantified datasets and infer relations between mitochondrial morphology and apoptotic events. We initially performed high-content, multi-parametric measurements of mitochondrial morphological, apoptotic, and energetic states by high-resolution imaging of human breast carcinoma MCF-7 cells. Subsequently, decision tree-based analysis was used to automatically classify networked, fragmented, and swollen mitochondrial subpopulations, at the single-cell level and within cell populations. Our results revealed subtle but significant differences in morphology class distributions in response to various apoptotic stimuli. Furthermore, key mitochondrial functional parameters including mitochondrial membrane potential and Bax activation, were measured under matched conditions. Data-driven fuzzy logic modeling was used to explore the non-linear relationships between mitochondrial morphology and apoptotic signaling, combining morphological and functional data as a single model. Modeling results are in accordance with previous studies, where Bax regulates mitochondrial fragmentation, and mitochondrial morphology influences mitochondrial membrane potential. In summary, we established and validated a platform for mitochondrial morphological and functional analysis that can be readily extended with additional datasets. We further discuss the benefits of a flexible systematic approach for elucidating specific and general relationships between mitochondrial morphology and apoptosis.
Parametric analysis and design equation of ultimate capacity for unstiffened overlapped CHS K-joints
2008-01-01
A finite element model simulating an experiment on unstiffened,overlapped circular hollow structure (CHS)K-joints was generated and validated by comparing the ultimate capacities,deformation processes and failure modes of the experimental results.Using this model,the stress distribution,propagation of plasticity and the failure modes of overlapped joints with through-brace-in-compression and welded hidden seams were analyzed.The effect of geometric parameters,with or without hidden welds,and the loading hierarchy reversal of braces on the ultimate capacity of the joints were also studied.The results of finite element parametric analysis indicate that the brace-tochord thickness ratio has relatively large effects on the failure mechanism and ultimate capacity of overlapped joints.It was also found that the absence of hidden welds has less significance on the ultimate capacity of through-brace-incompression joints than through-brace-in tension joints.Finally,based on the design equation of gap joints,a formula predicting the ultimate capacity of overlapped CHS K-joints was derived by applying multivariate regression analysis.Results from the proposed design equation are consistent with experimental results.
Yara Reis
Full Text Available Mitochondria exist as a network of interconnected organelles undergoing constant fission and fusion. Current approaches to study mitochondrial morphology are limited by low data sampling coupled with manual identification and classification of complex morphological phenotypes. Here we propose an integrated mechanistic and data-driven modeling approach to analyze heterogeneous, quantified datasets and infer relations between mitochondrial morphology and apoptotic events. We initially performed high-content, multi-parametric measurements of mitochondrial morphological, apoptotic, and energetic states by high-resolution imaging of human breast carcinoma MCF-7 cells. Subsequently, decision tree-based analysis was used to automatically classify networked, fragmented, and swollen mitochondrial subpopulations, at the single-cell level and within cell populations. Our results revealed subtle but significant differences in morphology class distributions in response to various apoptotic stimuli. Furthermore, key mitochondrial functional parameters including mitochondrial membrane potential and Bax activation, were measured under matched conditions. Data-driven fuzzy logic modeling was used to explore the non-linear relationships between mitochondrial morphology and apoptotic signaling, combining morphological and functional data as a single model. Modeling results are in accordance with previous studies, where Bax regulates mitochondrial fragmentation, and mitochondrial morphology influences mitochondrial membrane potential. In summary, we established and validated a platform for mitochondrial morphological and functional analysis that can be readily extended with additional datasets. We further discuss the benefits of a flexible systematic approach for elucidating specific and general relationships between mitochondrial morphology and apoptosis.
Parametric Analysis of a Two-Shaft Aeroderivate Gas Turbine of 11.86 MW
R. Lugo-Leyte
2015-08-01
Full Text Available The aeroderivate gas turbines are widely used for power generation in the oil and gas industry. In offshore marine platforms, the aeroderivative gas turbines provide the energy required to drive mechanically compressors, pumps and electric generators. Therefore, the study of the performance of aeroderivate gas turbines based on a parametric analysis is relevant to carry out a diagnostic of the engine, which can lead to operational as well as predictive and/or corrective maintenance actions. This work presents a methodology based on the exergetic analysis to estimate the irrevesibilities and exergetic efficiencies of the main components of a two-shaft aeroderivate gas turbine. The studied engine is the Solar Turbine Mars 100, which is rated to provide 11.86 MW. In this engine, the air is compressed in an axial compressor achieving a pressure ratio of 17.7 relative to ambient conditions and a high pressure turbine inlet temperature of 1220 °C. Even if the thermal efficiency associated to the pressure ratio of 17.7 is 1% lower than the maximum thermal efficiency, the irreversibilities related to this pressure ratio decrease approximately 1 GW with respect to irreversibilities of the optimal pressure ratio for the thermal efficiency. In addition, this paper contributes to develop a mathematical model to estimate the high turbine inlet temperature as well as the pressure ratio of the low and high pressure turbines.
Jeongah Yoon
Full Text Available Cell growth critically depends on signalling pathways whose regulation is the focus of intense research. Without utilizing a priori knowledge of the relative importance of pathway components, we have applied in silico computational methods to the EGF-induced MAPK cascade. Specifically, we systematically perturbed the entire parameter space, including initial conditions, using a Monte Carlo approach, and investigate which protein components or kinetic reaction steps contribute to the differentiation of ERK responses. The model, based on previous work by Brightman and Fell (2000, is composed of 28 reactions, 27 protein molecules, and 48 parameters from both mass action and Michaelis-Menten kinetics. Our multi-parametric systems analysis confirms that Raf inactivation is one of the key steps regulating ERK responses to be either transient or sustained. Furthermore, the results of amplitude-differential ERK phosphorylations within the transient case are mainly attributed to the balance between activation and inactivation of Ras while duration-differential ERK responses for the sustained case are, in addition to Ras, markedly affected by dephospho-/phosphorylation of both MEK and ERK. Our sub-module perturbations showed that MEK and ERK's contribution to this differential ERK activation originates from fluctuations in intermediate pathway module components such as Ras and Raf, implicating a cooperative regulatory mode among the key components. The initial protein concentrations of corresponding reactions such as Ras, GAP, and Raf also influence the distinct signalling outputs of ERK activation. We then compare these results with those obtained from a single-parametric perturbation approach using an overall state sensitivity (OSS analysis. The OSS findings indicate a more pronounced role of ERK's inhibitory feedback effect on catalysing the dissociation of the SOS complex. Both approaches reveal the presence of multiple specific reactions involved in
Varabyova, Yauheniya; Schreyögg, Jonas
2013-09-01
There is a growing interest in the cross-country comparisons of the performance of national health care systems. The present work provides a comparison of the technical efficiency of the hospital sector using unbalanced panel data from OECD countries over the period 2000-2009. The estimation of the technical efficiency of the hospital sector is performed using nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA). Internal and external validity of findings is assessed by estimating the Spearman rank correlations between the results obtained in different model specifications. The panel-data analyses using two-step DEA and one-stage SFA show that countries, which have higher health care expenditure per capita, tend to have a more technically efficient hospital sector. Whether the expenditure is financed through private or public sources is not related to the technical efficiency of the hospital sector. On the other hand, the hospital sector in countries with higher income inequality and longer average hospital length of stay is less technically efficient. Copyright © 2013 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.
Non-parametric seismic hazard analysis in the presence of incomplete data
Yazdani, Azad; Mirzaei, Sajjad; Dadkhah, Koroush
2017-01-01
The distribution of earthquake magnitudes plays a crucial role in the estimation of seismic hazard parameters. Due to the complexity of earthquake magnitude distribution, non-parametric approaches are recommended over classical parametric methods. The main deficiency of the non-parametric approach is the lack of complete magnitude data in almost all cases. This study aims to introduce an imputation procedure for completing earthquake catalog data that will allow the catalog to be used for non-parametric density estimation. Using a Monte Carlo simulation, the efficiency of introduced approach is investigated. This study indicates that when a magnitude catalog is incomplete, the imputation procedure can provide an appropriate tool for seismic hazard assessment. As an illustration, the imputation procedure was applied to estimate earthquake magnitude distribution in Tehran, the capital city of Iran.
Better economics: supporting adaptation with stakeholder analysis
Chambwera, Muyeye; Zou, Ye; Boughlala, Mohamed
2011-11-15
Across the developing world, decision makers understand the need to adapt to climate change — particularly in agriculture, which supports a large proportion of low-income groups who are especially vulnerable to impacts such as increasing water scarcity or more erratic weather. But policymakers are often less clear about what adaptation action to take. Cost-benefit analyses can provide information on the financial feasibility and economic efficiency of a given policy. But such methods fail to capture the non-monetary benefits of adaptation, which can be even more important than the monetary ones. Ongoing work in Morocco shows how combining cost-benefit analysis with a more participatory stakeholder analysis can support effective decision making by identifying cross-sector benefits, highlighting areas of mutual interest among different stakeholders and more effectively assessing impacts on adaptive capacity.
刘红军; 赵卫; 陈国夫; 王屹山; 于连君; 阮驰; 卢克清
2004-01-01
Experimental investigations of nondegenerate ultrabroadband chirped pulse optical parametric amplification have been carried out. The general mathematical expressions for evaluating parametric bandwidth, gain and gain bandwidth for arbitrary three-wave mixing parametric amplifiers are presented. In our experiments, a type-I noncollinear phase-matched optical parametric amplifier based on lithium triborate, which was pumped by a 5-ns second harmonic pulses from a Q-switched Nd:YAG operating at 10 Hz, seeded by a 14-rs Ti:sapphire laser at 800nm, was presented. The 0.85nJ energy of input chirped signal pulse with 57-FWHM has been amplified to 3.1 μJ at pump intensity 3 G W/cm2, the corresponding parametric gain reached 3.6 × 103, the 53 nm-FWHM gain spectrum bandwidth of output signal has been obtained. The large gain and broad gain bandwidth, which have been confirmed experimentally, provide great potentials to amplify efficiently the broad bandwidth femtosecond light pulses to generate new extremes in power, intensity, and pulse duration using optical parametric chirped pulse amplifiers pumped by powerful nanosecond systems.
Economic analysis and assessment of syngas production using a modeling approach
Kim, Hakkwan; Parajuli, Prem B.; Yu, Fei; Columbus, Eugene P.
2011-08-10
Economic analysis and modeling are essential and important issues for the development of current feedstock and process technology for bio-gasification. The objective of this study was to develop an economic model and apply to predict the unit cost of syngas production from a micro-scale bio-gasification facility. An economic model was programmed in C++ computer programming language and developed using a parametric cost approach, which included processes to calculate the total capital costs and the total operating costs. The model used measured economic data from the bio-gasification facility at Mississippi State University. The modeling results showed that the unit cost of syngas production was $1.217 for a 60 Nm-3 h-1 capacity bio-gasifier. The operating cost was the major part of the total production cost. The equipment purchase cost and the labor cost were the largest part of the total capital cost and the total operating cost, respectively. Sensitivity analysis indicated that labor costs rank the top as followed by equipment cost, loan life, feedstock cost, interest rate, utility cost, and waste treatment cost. The unit cost of syngas production increased with the increase of all parameters with exception of loan life. The annual cost regarding equipment, labor, feedstock, waste treatment, and utility cost showed a linear relationship with percent changes, while loan life and annual interest rate showed a non-linear relationship. This study provides the useful information for economic analysis and assessment of the syngas production using a modeling approach.
A Further Contribution to the Parametric Analysis of a PCM Energy Storage System
Casano, G.; Piva, S.
2017-01-01
In recent years heat storage using phase change materials has been also considered in the thermal control of electronic devices. In a recent work we presented some results for a parametric analysis of an energy storage system with a phase change material undergoing a two-levels steady-periodic heat boundary condition, as happens in certain electronic equipments. In particular, a hybrid system composed of a finned surface partially filled with a PCM, was analysed. This solution, which combines both passive (PCM) and active (fins and fans) cooling solutions, is of interest in high power amplifiers characterized by different levels of power dissipation, as is the case of the telecom base station power amplifiers, where the power is proportional to the traffic load. In the present paper we analyze some parameter previously not investigated, in particular the dimensionless transition temperature, for the role played by this parameter in the limitation of the operating temperature reached during the peaks of the power input. The study has provided further useful information for the design of these hybrid cooling systems.
Transmission Performance Analysis of Fiber Optical Parametric Amplifiers for WDM System
Xiaohong Jiang
2009-01-01
Full Text Available A numerical analysis is presented on the long-haul wavelength-division multiplexing (WDM transmission system employing fiber-optic parametric amplifier (FOPA cascades based on one-pump FOPA model with Raman Effect taken into account. The end-to-end equalization scheme is applied to optimize the system features in terms of proper output powers and signal-to-noise ratios (SNRs in all the channels. The numerical results show that—through adjusting the fiber spans along with the number of FOPAs as well as the channel powers at the terminals in a prescribed way—the transmission distance and system performance can be optimized. By comparing the results generated by different lengths of fiber span, we come to the optimal span length to achieve the best transmission performance. Furthermore, we make a comparison among the long-haul WDM transmission systems employing different inline amplifiers, namely, FOPA, erbium-doped fiber amplifier (EDFA, and Fiber Raman Amplifier (FRA. FOPA demonstrates its advantage over the other two in terms of system features.
John M. Koomen
2007-01-01
Full Text Available Noise in mass spectrometry can interfere with identification of the biochemical substances in the sample. For example, the electric motors and circuits inside the mass spectrometer or in nearby equipment generate random noise that may distort the true shape of mass spectra. This paper presents a stochastic signal processing approach to analyzing noise from electrical noise sources (i.e., noise from instrumentation in MALDI TOF mass spectrometry. Noise from instrumentation was hypothesized to be a mixture of thermal noise, 1/f noise, and electric or magnetic interference in the instrument. Parametric power spectral density estimation was conducted to derive the power distribution of noise from instrumentation with respect to frequencies. As expected, the experimental results show that noise from instrumentation contains 1/f noise and prominent periodic components in addition to thermal noise. These periodic components imply that the mass spectrometers used in this study may not be completely shielded from the internal or external electrical noise sources. However, according to a simulation study of human plasma mass spectra, noise from instrumentation does not seem to affect mass spectra significantly. In conclusion, analysis of noise from instrumentation using stochastic signal processing here provides an intuitive perspective on how to quantify noise in mass spectrometry through spectral modeling.
Parametric sensitivity analysis for stochastic molecular systems using information theoretic metrics
Tsourtis, Anastasios, E-mail: tsourtis@uoc.gr [Department of Mathematics and Applied Mathematics, University of Crete, Crete (Greece); Pantazis, Yannis, E-mail: pantazis@math.umass.edu; Katsoulakis, Markos A., E-mail: markos@math.umass.edu [Department of Mathematics and Statistics, University of Massachusetts, Amherst, Massachusetts 01003 (United States); Harmandaris, Vagelis, E-mail: harman@uoc.gr [Department of Mathematics and Applied Mathematics, University of Crete, and Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology Hellas (FORTH), GR-70013 Heraklion, Crete (Greece)
2015-07-07
In this paper, we present a parametric sensitivity analysis (SA) methodology for continuous time and continuous space Markov processes represented by stochastic differential equations. Particularly, we focus on stochastic molecular dynamics as described by the Langevin equation. The utilized SA method is based on the computation of the information-theoretic (and thermodynamic) quantity of relative entropy rate (RER) and the associated Fisher information matrix (FIM) between path distributions, and it is an extension of the work proposed by Y. Pantazis and M. A. Katsoulakis [J. Chem. Phys. 138, 054115 (2013)]. A major advantage of the pathwise SA method is that both RER and pathwise FIM depend only on averages of the force field; therefore, they are tractable and computable as ergodic averages from a single run of the molecular dynamics simulation both in equilibrium and in non-equilibrium steady state regimes. We validate the performance of the extended SA method to two different molecular stochastic systems, a standard Lennard-Jones fluid and an all-atom methane liquid, and compare the obtained parameter sensitivities with parameter sensitivities on three popular and well-studied observable functions, namely, the radial distribution function, the mean squared displacement, and the pressure. Results show that the RER-based sensitivities are highly correlated with the observable-based sensitivities.
Moradian, Zabihallah; Einstein, Herbert H.; Ballivy, Gerard
2016-03-01
Determination of the cracking levels during the crack propagation is one of the key challenges in the field of fracture mechanics of rocks. Acoustic emission (AE) is a technique that has been used to detect cracks as they occur across the specimen. Parametric analysis of AE signals and correlating these parameters (e.g., hits and energy) to stress-strain plots of rocks let us detect cracking levels properly. The number of AE hits is related to the number of cracks, and the AE energy is related to magnitude of the cracking event. For a full understanding of the fracture process in brittle rocks, prismatic specimens of granite containing pre-existing flaws have been tested in uniaxial compression tests, and their cracking process was monitored with both AE and high-speed video imaging. In this paper, the characteristics of the AE parameters and the evolution of cracking sequences are analyzed for every cracking level. Based on micro- and macro-crack damage, a classification of cracking levels is introduced. This classification contains eight stages (1) crack closure, (2) linear elastic deformation, (3) micro-crack initiation (white patch initiation), (4) micro-crack growth (stable crack growth), (5) micro-crack coalescence (macro-crack initiation), (6) macro-crack growth (unstable crack growth), (7) macro-crack coalescence and (8) failure.
Ajit Desai
2010-01-01
Full Text Available Aeroelastic stability remains an important concern for the design of modern structures such as wind turbine rotors, more so with the use of increasingly flexible blades. A nonlinear aeroelastic system has been considered in the present study with parametric uncertainties. Uncertainties can occur due to any inherent randomness in the system or modeling limitations, and so forth. Uncertainties can play a significant role in the aeroelastic stability predictions in a nonlinear system. The analysis has been put in a stochastic framework, and the propagation of system uncertainties has been quantified in the aeroelastic response. A spectral uncertainty quantification tool called Polynomial Chaos Expansion has been used. A projection-based nonintrusive Polynomial Chaos approach is shown to be much faster than its classical Galerkin method based counterpart. Traditional Monte Carlo Simulation is used as a reference solution. Effect of system randomness on the bifurcation behavior and the flutter boundary has been presented. Stochastic bifurcation results and bifurcation of probability density functions are also discussed.
Law and Technology Theory: Bringing in Some Economic Analysis
Trosow, Samuel
2010-01-01
The author argues economic analysis needs to be explicitly included in an overall theory of law and technology. Differing approaches to the economics of information are considered, and the copyright policy environment of the 1990s is taken as an example of how the lack of substantive economic analysis resulted in poor policy-making.
Empirical analysis between industrial structure and economic growth of china
姚西龙; 尤津; 郝鹏飞
2008-01-01
In recent years,the relationship between the industrial structure and economic growth is more and more concerned by scholars. According to the theory of industrial structure and economic development, this article use regression analysis method that estimates the three major industries’ contribute to Chinese economic growth and use cluster analysis methods, then discuss how to optimize the indus-trial structure.
A Multidisciplinary-economic Framework of Analysis
Keizer, P.K.
2015-01-01
Human motivation offers energy, and circumstances offer possibilities. Only in combination does human motivation and circumstance yield action. Over time, desires and opportunities to satisfy them closely interact with one another. Orthodox economics analyzes economic motivation in interaction with
Marmarelis, Vasilis Z; Shin, Dae C; Zhang, Yaping; Kautzky-Willer, Alexandra; Pacini, Giovanni; D'Argenio, David Z
2013-07-01
Modeling studies of the insulin-glucose relationship have mainly utilized parametric models, most notably the minimal model (MM) of glucose disappearance. This article presents results from the comparative analysis of the parametric MM and a nonparametric Laguerre based Volterra Model (LVM) applied to the analysis of insulin modified (IM) intravenous glucose tolerance test (IVGTT) data from a clinical study of gestational diabetes mellitus (GDM). An IM IVGTT study was performed 8 to 10 weeks postpartum in 125 women who were diagnosed with GDM during their pregnancy [population at risk of developing diabetes (PRD)] and in 39 control women with normal pregnancies (control subjects). The measured plasma glucose and insulin from the IM IVGTT in each group were analyzed via a population analysis approach to estimate the insulin sensitivity parameter of the parametric MM. In the nonparametric LVM analysis, the glucose and insulin data were used to calculate the first-order kernel, from which a diagnostic scalar index representing the integrated effect of insulin on glucose was derived. Both the parametric MM and nonparametric LVM describe the glucose concentration data in each group with good fidelity, with an improved measured versus predicted r² value for the LVM of 0.99 versus 0.97 for the MM analysis in the PRD. However, application of the respective diagnostic indices of the two methods does result in a different classification of 20% of the individuals in the PRD. It was found that the data based nonparametric LVM revealed additional insights about the manner in which infused insulin affects blood glucose concentration. © 2013 Diabetes Technology Society.
Ripley, David P; Motwani, Manish; Brown, Julia M; Nixon, Jane; Everett, Colin C; Bijsterveld, Petra; Maredia, Neil; Plein, Sven; Greenwood, John P
2015-07-15
The CE-MARC study assessed the diagnostic performance investigated the use of cardiovascular magnetic resonance (CMR) in patients with suspected coronary artery disease (CAD). The study used a multi-parametric CMR protocol assessing 4 components: i) left ventricular function; ii) myocardial perfusion; iii) viability (late gadolinium enhancement (LGE)) and iv) coronary magnetic resonance angiography (MRA). In this pre-specified CE-MARC sub-study we assessed the diagnostic accuracy of the individual CMR components and their combinations. All patients from the CE-MARC population (n = 752) were included using data from the original blinded-read. The four individual core components of the CMR protocol was determined separately and then in paired and triplet combinations. Results were then compared to the full multi-parametric protocol. CMR and X-ray angiography results were available in 676 patients. The maximum sensitivity for the detection of significant CAD by CMR was achieved when all four components were used (86.5%). Specificity of perfusion (91.8%), function (93.7%) and LGE (95.8%) on its own was significantly better than specificity of the multi-parametric protocol (83.4%) (all P parametric protocol was the optimum to rule-out significant CAD (Likelihood Ratio negative (LR-) 0.16) and the LGE component alone was the best to rue-in CAD (LR+ 9.81). Overall diagnostic accuracy was similar with the full multi-parametric protocol (85.9%) compared to paired and triplet combinations. The use of coronary MRA within the full multi-parametric protocol had no additional diagnostic benefit compared to the perfusion/function/LGE combination (overall accuracy 84.6% vs. 84.2% (P = 0.5316); LR- 0.16 vs. 0.21; LR+ 5.21 vs. 5.77). From this pre-specified sub-analysis of the CE-MARC study, the full multi-parametric protocol had the highest sensitivity and was the optimal approach to rule-out significant CAD. The LGE component alone was the optimal rule-in strategy
Parametric analysis of stand-alone residential photovoltaic systems and the SOLSTOR simulation model
Caskey, D. L.; Aronson, E. A.; Murphy, K. D.
Grid-connected residential photovoltaic (PV) systems have been studied in great detail during the past few years. However, stand-alone systems have received considerably less attention. This paper describes the results of an evaluation of the economic feasibility of stand-alone systems. The SOLSTOR simulation program, developed by Sandia, was the primary analysis tool. The results indicate that stand-alone PV systems offer considerable economic advantage over the fossil-fueled generator systems. This is true even with no escalation of fuel prices, with PV array costs of twice the 1986 DOE goal, with present day battery costs, and in the Northeast as well as in the Southwest part of the United States. The on-site generator was generally used less than 1400 hours per year, and in fact can be eliminated in many cases in the Southwest.
Zha, N.; Capaldi, D. P. I.; Pike, D.; McCormack, D. G.; Cunningham, I. A.; Parraga, G.
2015-03-01
Pulmonary x-ray computed tomography (CT) may be used to characterize emphysema and airways disease in patients with chronic obstructive pulmonary disease (COPD). One analysis approach - parametric response mapping (PMR) utilizes registered inspiratory and expiratory CT image volumes and CT-density-histogram thresholds, but there is no consensus regarding the threshold values used, or their clinical meaning. Principal-component-analysis (PCA) of the CT density histogram can be exploited to quantify emphysema using data-driven CT-density-histogram thresholds. Thus, the objective of this proof-of-concept demonstration was to develop a PRM approach using PCA-derived thresholds in COPD patients and ex-smokers without airflow limitation. Methods: Fifteen COPD ex-smokers and 5 normal ex-smokers were evaluated. Thoracic CT images were also acquired at full inspiration and full expiration and these images were non-rigidly co-registered. PCA was performed for the CT density histograms, from which the components with the highest eigenvalues greater than one were summed. Since the values of the principal component curve correlate directly with the variability in the sample, the maximum and minimum points on the curve were used as threshold values for the PCA-adjusted PRM technique. Results: A significant correlation was determined between conventional and PCA-adjusted PRM with 3He MRI apparent diffusion coefficient (p<0.001), with CT RA950 (p<0.0001), as well as with 3He MRI ventilation defect percent, a measurement of both small airways disease (p=0.049 and p=0.06, respectively) and emphysema (p=0.02). Conclusions: PRM generated using PCA thresholds of the CT density histogram showed significant correlations with CT and 3He MRI measurements of emphysema, but not airways disease.
Parametric analysis of a solar still with inverted V-shaped glass condenser
Rubio Eduardo
2015-01-01
Full Text Available A parametric analysis of a solar still with an inverted V-shaped glass condenser is presented. Results are based on a new mathematical model obtained from a lumped-parameter analysis of the still, with an approach that makes each glass plate of the condensing system sensitive to orientation and depicts its thermal differences. Numerical computations are made to evaluate productivity and temperature differences between the condensing plates as a function of condenser orientation, extinction coefficient and thickness. From this study it was found a significant influence of incident solar radiation on the thermal performance of each condensing plate. Large extinction coefficients and thick glass plates increase absorption losses that result in an appreciable temperature difference. An extinction coefficient of 40 m-1 produces a temperature difference of 2.5°C between both condensers. A glass thickness of 10 mm may increase this temperature difference up to 3.5°C. With respect to the production, due to the still orientation, a difference of 8.7% was found for the condensing plates facing an east-west direction. The proposed model is able to reproduce the temperature and distillate production differences that arise between both condensers in good agreement with experimental data. The overall performance of the still, studied with this new approach, was also in accordance with the widely used traditional models for solar distillation. In addition, the condensing plates parameters of the still can be used to force a differential heating such that for the whole day the temperature of one condensing plate is always higher.
Touil, Sami; Degre, Aurore; Nacer Chabaca, Mohamed
2016-12-01
Improving the accuracy of pedotransfer functions (PTFs) requires studying how prediction uncertainty can be apportioned to different sources of uncertainty in inputs. In this study, the question addressed was as follows: which variable input is the main or best complementary predictor of water retention, and at which water potential? Two approaches were adopted to generate PTFs: multiple linear regressions (MLRs) for point PTFs and multiple nonlinear regressions (MNLRs) for parametric PTFs. Reliability tests showed that point PTFs provided better estimates than parametric PTFs (root mean square error, RMSE: 0.0414 and 0.0444 cm3 cm-3, and 0.0613 and 0.0605 cm3 cm-3 at -33 and -1500 kPa, respectively). The local parametric PTFs provided better estimates than Rosetta PTFs at -33 kPa. No significant difference in accuracy, however, was found between the parametric PTFs and Rosetta H2 at -1500 kPa with RMSE values of 0.0605 cm3 cm-3 and 0.0636 cm3 cm-3, respectively. The results of global sensitivity analyses (GSAs) showed that the mathematical formalism of PTFs and their input variables reacted differently in terms of point pressure and texture. The point and parametric PTFs were sensitive mainly to the sand fraction in the fine- and medium-textural classes. The use of clay percentage (C %) and bulk density (BD) as inputs in the medium-textural class improved the estimation of PTFs at -33 kPa.
J.Yazdani Charati; O. Akha; AR Baghestani; F. Khosravi; Y Kavyani Charati
2015-01-01
Background & aim: One of the most common clinical problems among individuals is thyroid nodule diseases which are characterized by one or more nodules in the thyroid and are usually benign. It can be said that thyroid cancer is the most common endocrine cancer worldwide. This study aimed to determine the risk factors for cancer in patients with thyroid nodule in Mazandaran province,Iran, using parametric survival analysis. Methods: In the present historical cohort study, 26,730 patients w...
Economic analysis of motor transport service efficiency on lease
I.V. Klymenko
2015-03-01
Full Text Available In a dynamic economic environment of motor companies operation the development of organizational and methodological positions of economic analysis is required. It is economic analysis that allows us not only to determine the state of economic phenomenon, motor transport services in particular, but also to establish its cause and effect. The article suggests the methodology of economic analysis of motor transport services that includes three methodological components: 1 evaluation of the vehicle use effectiveness; 2 evaluation of transport services effectiveness; 3 evaluation of the vehicle leasing agreement effectiveness. The introduction of this technique in the studied companies revealed potential for raising efficiency.
Brida, Giorgio; Chekhova, Maria; Genovese, Marco; Ruo-Berchera, Ivano
2008-08-18
Spontaneous parametric down conversion (SPDC) has been largely exploited as a tool for absolute calibration of photon-counting detectors, i.e detectors registering very small photon fluxes. In [J. Opt. Soc. Am. B 23, 2185 (2006)] we derived a method for absolute calibration of analog detectors using SPDC emission at higher photon fluxes, where the beam is seen as a continuum by the detector. Nevertheless intrinsic limitations appear when high-gain regime of SPDC is required to reach even larger photon fluxes. Here we show that stimulated parametric down conversion allow one to avoid this limitation, since stimulated photon fluxes are increased by the presence of the seed beam.
Chrcanovic, B R; Kisch, J; Albrektsson, T; Wennerberg, A
2016-11-01
Recent studies have suggested that the insertion of dental implants in patients being diagnosed with bruxism negatively affected the implant failure rates. The aim of the present study was to investigate the association between the bruxism and the risk of dental implant failure. This retrospective study is based on 2670 patients who received 10 096 implants at one specialist clinic. Implant- and patient-related data were collected. Descriptive statistics were used to describe the patients and implants. Multilevel mixed effects parametric survival analysis was used to test the association between bruxism and risk of implant failure adjusting for several potential confounders. Criteria from a recent international consensus (Lobbezoo et al., J Oral Rehabil, 40, 2013, 2) and from the International Classification of Sleep Disorders (International classification of sleep disorders, revised: diagnostic and coding manual, American Academy of Sleep Medicine, Chicago, 2014) were used to define and diagnose the condition. The number of implants with information available for all variables totalled 3549, placed in 994 patients, with 179 implants reported as failures. The implant failure rates were 13·0% (24/185) for bruxers and 4·6% (155/3364) for non-bruxers (P < 0·001). The statistical model showed that bruxism was a statistically significantly risk factor to implant failure (HR 3·396; 95% CI 1·314, 8·777; P = 0·012), as well as implant length, implant diameter, implant surface, bone quantity D in relation to quantity A, bone quality 4 in relation to quality 1 (Lekholm and Zarb classification), smoking and the intake of proton pump inhibitors. It is suggested that the bruxism may be associated with an increased risk of dental implant failure.
Analysis and Parametric Investigation of Active Open Cross Section Thin Wall Beams
Griffiths, James
The static behaviour of active Open Cross Section Thin Wall Beams (OCSTWB) with embedded Active/Macro Fibre Composites (AFCs/MFCs) has been investigated for the purpose of advancing the fundamental theory needed in the development of advanced smart structures. An efficient code that can analyze active OCSTWB using analytical equations has been studied. Various beam examples have been investigated in order to verify this recently developed analytical active OCSTWB analysis tool. The cross sectional stiffness constants and induced force, moments and bimoment predicted by this analytical code have been compared with those predicted by the 2-D finite element beam cross section analysis codes called the Variational Asymptotic Beam Sectional (VABS) analysis and the University of Michigan VABS (UM/VABS). Good agreement was observed between the results obtained from the analytical tool and VABS. The calculated cross sectional stiffness constants and induced force/moments, the constitutive relation and the six intrinstic static equilibrium equations for OCSTWB were all used together in a first-order accurate forward difference scheme in order to determine the average twist and deflections along the beam span. In order to further verify the analytical code, the static behaviour of a number of beam examples was investigated using 3-D Finite Element Analysis (FEA). For a particular cross section, the rigid body twist and displacements were minimized with the displacements of all the nodes in the 3-D FEA model that compose the cross section. This was done for a number of cross sections along the beam span in order to recover the global beam twist and displacement profiles from the 3-D FEA results. The global twist and deflections predicted by the analytical code agreed closely with those predicted by UM/VABS and 3-D FEA. The study was completed by a parametric investigation to determine the boundary conditions and the composite ply lay-ups of the active and passive plies that
Parametric study and performance analysis of hybrid rocket motors with double-tube configuration
Yu, Nanjia; Zhao, Bo; Lorente, Arnau Pons; Wang, Jue
2017-03-01
The practical implementation of hybrid rocket motors has historically been hampered by the slow regression rate of the solid fuel. In recent years, the research on advanced injector designs has achieved notable results in the enhancement of the regression rate and combustion efficiency of hybrid rockets. Following this path, this work studies a new configuration called double-tube characterized by injecting the gaseous oxidizer through a head end injector and an inner tube with injector holes distributed along the motor longitudinal axis. This design has demonstrated a significant potential for improving the performance of hybrid rockets by means of a better mixing of the species achieved through a customized injection of the oxidizer. Indeed, the CFD analysis of the double-tube configuration has revealed that this design may increase the regression rate over 50% with respect to the same motor with a conventional axial showerhead injector. However, in order to fully exploit the advantages of the double-tube concept, it is necessary to acquire a deeper understanding of the influence of the different design parameters in the overall performance. In this way, a parametric study is carried out taking into account the variation of the oxidizer mass flux rate, the ratio of oxidizer mass flow rate injected through the inner tube to the total oxidizer mass flow rate, and injection angle. The data for the analysis have been gathered from a large series of three-dimensional numerical simulations that considered the changes in the design parameters. The propellant combination adopted consists of gaseous oxygen as oxidizer and high-density polyethylene as solid fuel. Furthermore, the numerical model comprises Navier-Stokes equations, k-ε turbulence model, eddy-dissipation combustion model and solid-fuel pyrolysis, which is computed through user-defined functions. This numerical model was previously validated by analyzing the computational and experimental results obtained for
75 FR 8922 - Bureau of Economic Analysis Advisory Committee
2010-02-26
... Economics and Statistics Administration Bureau of Economic Analysis Advisory Committee AGENCY: Bureau of.... Requests for foreign language interpretation or other auxiliary aids should be directed to Jeffrey Newman... recommendations from the perspectives of the economics profession, business, and government. This will be the...
77 FR 21081 - Bureau of Economic Analysis Advisory Committee
2012-04-09
... Economics and Statistics Administration Bureau of Economic Analysis Advisory Committee AGENCY: Bureau of.... Requests for foreign language interpretation or other auxiliary aids should be directed to Gianna Marrone... recommendations from the perspectives of the economics profession, business, and government. This will be the...
76 FR 9743 - Bureau of Economic Analysis Advisory Committee
2011-02-22
... Economics and Statistics Administration Bureau of Economic Analysis Advisory Committee AGENCY: Bureau of.... Requests for foreign language interpretation or other auxiliary aids should be directed to Gianna Marrone... recommendations from the perspectives of the economics profession, business, and government. This will be the...
76 FR 59111 - Bureau of Economic Analysis Advisory Committee
2011-09-23
... Economics and Statistics Administration Bureau of Economic Analysis Advisory Committee AGENCY: Bureau of.... Requests for foreign language interpretation or other auxiliary aids should be directed to Gianna Marrone... recommendations from the perspectives of the economics profession, business, and government. This will be the...
77 FR 60965 - Bureau of Economic Analysis Advisory Committee
2012-10-05
... Economics and Statistics Administration Bureau of Economic Analysis Advisory Committee AGENCY: Bureau of.... Requests for foreign language interpretation or other auxiliary aids should be directed to Gianna Marrone... recommendations from the perspectives of the economics profession, business, and government. This will be the...
78 FR 10599 - Bureau of Economic Analysis Advisory Committee
2013-02-14
... Economics and Statistics Administration Bureau of Economic Analysis Advisory Committee AGENCY: Bureau of.... Requests for foreign language interpretation or other auxiliary aids should be directed to Gianna Marrone... recommendations from the perspectives of the economics profession, business, ] and government. This will be the...
Advancing School-Based Interventions through Economic Analysis
Olsson, Tina M.; Ferrer-Wreder, Laura; Eninger, Lilianne
2014-01-01
Commentators interested in school-based prevention programs point to the importance of economic issues for the future of prevention efforts. Many of the processes and aims of prevention science are dependent upon prevention resources. Although economic analysis is an essential tool for assessing resource use, the attention given economic analysis…
Advancing School-Based Interventions through Economic Analysis
Olsson, Tina M.; Ferrer-Wreder, Laura; Eninger, Lilianne
2014-01-01
Commentators interested in school-based prevention programs point to the importance of economic issues for the future of prevention efforts. Many of the processes and aims of prevention science are dependent upon prevention resources. Although economic analysis is an essential tool for assessing resource use, the attention given economic analysis…
PROVE-IT trial: economic analysis
Simona de Portu
2008-01-01
Full Text Available Introduction: the PROVE-IT (“Intensive versus moderate lipid lowering with statins after acute coronary syndromes” was a comparison of pravastatin 40 mg/die versus atorvastatin 80 mg/die in patients with an acute coronary syndrome (ACS. Aim: our aim was to investigate the economic consequence of high dose of atorvastatin vs usual-dose of pravastatin in Italian patients with a history of acute coronary syndrome. Methods: the analysis is conducted on the basis of clinical outcomes of the PROVE-IT study. We conducted a cost-effectiveness analysis, comparing high dose of atorvastatin (80 mg/die versus usual-dose of pravastatin (40 mg/die in the perspective of the Italian National Health Service. We identified and quantified medical costs: drug costs according to the Italian National Therapeutic Formulary and hospitalizations were quantified based on the Italian National Health Service tariffs (2008. Effects were measured in terms of morbidity reduction (number of deaths and frequency of hospitalizations. We considered an observation period of 24 months. The costs borne after the first 12 months were discounted using an annual rate of 3%. We conducted one and multi-way sensitivity analyses on unit cost and effectiveness. Results: the cost of pravastatin or atorvastatin therapy over the 2 years period amounted to approximately 664.684 millions euro and 909.006 euro per 1,000 patients respectively. Atorvastatin was more efficacious compared to pravastatin and the overall cost of care per 1,000 patients over 24 months of follow-up was estimated at 2.58 millions euro in the pravastatin and 2.57 millions euro in the atorvastatin group, resulting into a cost saving of about 11.000 euro. Discussion: this study demonstrates that high dose atorvastatin treatment leads to a reduction of direct costs for the National Health System. Atorvastatin therapy is dominant since it is both less costly and more effective than pravastatin. Results were sensitive to
Stability Analysis of the Parametric Roll Resonance under Non-constant Ship Speed
Galeazzi, Roberto; Vidic-Perunovic, Jelena; Blanke, Mogens
2008-01-01
The aim of this work is to analyze the influence of a nonconstant ship speed on the onset and development of the parametric roll resonance. A 2-DOF nonlinear surge-roll model is set up and analyzed. Perturbation methods are also applied to evaluate the influence of dynamic variations of surge vel...
A PARAMETRIC FAMILY OF CORRELATION STRUCTURES FOR THE ANALYSIS OF LONGITUDINAL DATA
MUNOZ, A; CAREY, [No Value; SCHOUTEN, JP; SEGAL, M; ROSNER, B
In epidemiological settings, we are often faced with numerous short time series, and a parsimonious parametrization of the correlation structure is desired in order to optimize the efficiency of the estimation procedure. We propose a damped exponential correlation structure for modeling multivariate
Parametric analysis of the planar metamaterials based on complementary double-ring resonators
Lu Wei-Bing; Ji Zhong-Fu
2011-01-01
The planar metamaterials comprising complementary double-ring resonators (CDRRs) show its left handed behaviour. As a consequent work, this paper presents a detailed parametric study on the magnetically resonant transmission characteristics of the complementary double-ring metamaterials based on its structural parameters. This will be useful for the design of compact planar metamaterials based on the transmission lines loaded with CDRRs.
Parametric Design Optimization Of A Novel Permanent Magnet Coupling Using Finite Element Analysis
Högberg, Stig; Mijatovic, Nenad; Holbøll, Joachim;
2014-01-01
A parametric design optimization routine has been applied to a novel magnetic coupling with improved recyclability. Coupling designs are modeled in a 3-D finite element environ- ment, and evaluated by three design objectives: pull-out torque, torque density by magnet mass, and torque density...
Productivity of prolific sheep : Economic analysis
I. Inounu
1998-12-01
Full Text Available The existence of major gene in the Indonesian sheep breeds has been revealed in three different genotypes which are further implied that different levels of feeding and management are necessary to realize the potential benefits for each genotype . The variability in the ewe production as a result of the differences in genotype and management levels were then evaluated by economic analysis . The result shows that improvement in management practices resulted in an increase of production ofindividual breeding ewe (BS. However, since these increases in performance required additional cost for higher input value, as it was indicated in the total production cost, attention must be given toward the decision as to which genotype to raise at what level of feeding management . This study has shown promising results to facilitate the decision makers in that direction, for example, ewes with FecJFFecJ` genotype gained the highest gross margin when they were treated with high level of feeding management. The next best alternative was followed by FecJ FFecJ F genotype. Furthermore, in the situation where low level of feeding management being practiced, ewes carrying the FecJF gene did not show their superiority since they gained lower gross margin compared with the non-carrier ewes.
Dehlholm, Christian; Brockhoff, Per B.; Bredie, Wender L. P.
2012-01-01
A new way of parametric bootstrapping allows similar construction of confidence ellipses applicable on all results from Multiple Factor Analysis obtained from the FactoMineR package in the statistical program R. With this procedure, a similar approach will be applied to Multiple Factor Analysis...... results regardless of the origin of data and the nature of the original variables. The approach is suitable for getting an overview of product confidence intervals and also applicable for data obtained from ‘one repetition’ evaluations. Furthermore, it is a convenient way to get an overview of variations...
Parametric sensitivity analysis of a test cell thermal model using spectral analysis
Mara, Thierry Alex; Garde, François
2012-01-01
The paper deals with an empirical validation of a building thermal model. We put the emphasis on sensitivity analysis and on research of inputs/residual correlation to improve our model. In this article, we apply a sensitivity analysis technique in the frequency domain to point out the more important parameters of the model. Then, we compare measured and predicted data of indoor dry-air temperature. When the model is not accurate enough, recourse to time-frequency analysis is of great help to identify the inputs responsible for the major part of error. In our approach, two samples of experimental data are required. The first one is used to calibrate our model the second one to really validate the optimized model.
Aerodynamic parametric studies and sensitivity analysis for rotor blades in axial flight
Chiu, Y. D.; Peters, David A.
1991-01-01
The analytical capability is offered for aerodynamic parametric studies and sensitivity analyses of rotary wings in axial flight by using a 3D undistorted wake model in curved lifting line theory. The governing equations are solved by both the Multhopp Interpolation technique and the Vortex Lattice method. The singularity from the bound vortices is eliminated through the Hadamard's finite part concept. Good numerical agreement between both analytical methods and finite differences methods are found. Parametric studies were made to assess the effects of several shape variables on aerodynamic loads. It is found, e.g., that a rotor blade with out-of-plane and inplane curvature can theoretically increase lift in the inboard and outboard regions respectively without introducing an additional induced drag.
Improved Sinusoid Analysis and Post-Processing in Parametric Audio Coding
周宏; 陈健
2003-01-01
This paper proposed improvements to the low bit rate parametric audio coder with sinusoid model as its kernel. Firstly, we propose a new method to effectively order and select the perceptually most important sinusoids. The sinusoid which contributes most to the reduction of overall NMR is chosen. Combined with our improved parametric psychoacoustic model and advanced peak riddling techniques, the number of sinusoids required can be greatly reduced and the coding efficiency can be greatly enhanced. A lightweight version is also given to reduce the amount of computation with only little sacrifice of performance. Secondly, we propose two enhancement techniques for sinusoid synthesis: bandwidth enhancement and line enhancement. With little overhead, the effective bandwidth can be extended one more octave; the timbre tends to sound much brighter, thicker and more beautiful.
Analysis of exergy and parametric study of a v-corrugated solar air heater
Hedayatizadeh, Mahdi [University of Tabriz, Department of Agricultural Machinery Engineering, Faculty of Agriculture, Tabriz (Iran, Islamic Republic of); University of Birjand, Faculty of Agriculture, P.O. Box 97175/331, Birjand (Iran, Islamic Republic of); Ajabshirchi, Yahya [University of Tabriz, Department of Agricultural Machinery Engineering, Faculty of Agriculture, Tabriz (Iran, Islamic Republic of); Sarhaddi, Faramarz; Farahat, Said [University of Sistan and Baluchestan, Department of Mechanical Engineering, Faculty of Engineering, P.O. Box 98164/161, Zahedan (Iran, Islamic Republic of); Safavinejad, Ali [University of Birjand, Department of Mechanical Engineering, Faculty of Engineering, Birjand (Iran, Islamic Republic of); Chaji, Hossein [University of Tabriz, Department of Agricultural Machinery Engineering, Faculty of Agriculture, Tabriz (Iran, Islamic Republic of); Center of Agriculture and Natural Resources of Khorasan Razavi Province, Ministry of Agriculture, Mashhad (Iran, Islamic Republic of)
2012-07-15
Solar air heater requires investigation for enhancement of solar energy conversion into heat. Different configurations with various artificial roughness geometries are proposed to date. In present study attention is paid on ways leading to more delivery of exergy by a v-corrugated solar air heater through parametric study. Effects of aspect ratio of the collector, inlet air temperature, mass flow rate per collector area etc. are studied. (orig.)
Parametric Finite Element Analysis for a square cup deep drawing process
F. Ayari; E. Bayraktar
2011-01-01
Purpose: This manuscript deals with the FEA of the sheet metal forming process that involves various nonlinearities. Our objective is to develop a parametric study that can leads mainly to predict accurately the final geometry of the sheet blank and the distribution of strains and stresses and also to control various forming defects, such as thinning as well as parameters affecting strongly the final form of the sheet after forming process.Design/methodology/approach: The main approach of the...
Environmental Impact Assessment for Socio-Economic Analysis of Chemicals
Calow, Peter; Biddinger, G; Hennes, C;
This report describes the requirements for, and illustrates the application of, a methodology for a socio-economic analysis (SEA) especially as it might be adopted in the framework of REACH.......This report describes the requirements for, and illustrates the application of, a methodology for a socio-economic analysis (SEA) especially as it might be adopted in the framework of REACH....
Environmental Impact Assessment for Socio-Economic Analysis of Chemicals
Calow, Peter; Biddinger, G; Hennes, C
This report describes the requirements for, and illustrates the application of, a methodology for a socio-economic analysis (SEA) especially as it might be adopted in the framework of REACH.......This report describes the requirements for, and illustrates the application of, a methodology for a socio-economic analysis (SEA) especially as it might be adopted in the framework of REACH....
Robust biological parametric mapping: an improved technique for multimodal brain image analysis
Yang, Xue; Beason-Held, Lori; Resnick, Susan M.; Landman, Bennett A.
2011-03-01
Mapping the quantitative relationship between structure and function in the human brain is an important and challenging problem. Numerous volumetric, surface, region of interest and voxelwise image processing techniques have been developed to statistically assess potential correlations between imaging and non-imaging metrics. Recently, biological parametric mapping has extended the widely popular statistical parametric approach to enable application of the general linear model to multiple image modalities (both for regressors and regressands) along with scalar valued observations. This approach offers great promise for direct, voxelwise assessment of structural and functional relationships with multiple imaging modalities. However, as presented, the biological parametric mapping approach is not robust to outliers and may lead to invalid inferences (e.g., artifactual low p-values) due to slight mis-registration or variation in anatomy between subjects. To enable widespread application of this approach, we introduce robust regression and robust inference in the neuroimaging context of application of the general linear model. Through simulation and empirical studies, we demonstrate that our robust approach reduces sensitivity to outliers without substantial degradation in power. The robust approach and associated software package provides a reliable way to quantitatively assess voxelwise correlations between structural and functional neuroimaging modalities.
Parametric Matching of Drivetrain For Parallel Hybrid Electric Vehicle
Zhang Zhongwei; Yu Hao; Li Yingli
2013-01-01
...; this thesis presents a simulation analysis of the PHEV and the influence on vehicle characteristic by component parameters of drivetrain, and studies the parametric choice and proper parametric...
Antonopoulos, Christos
2015-01-01
This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional “routine” clinic-based service purposes, at reduced cost, enhanced capability, and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient, and is demonstrated in several case studies.
Economic analysis of residential solar water heaters
None
1980-09-23
A typical residential solar water heater, and typical cost and performance information are described briefly. The monthly costs and savings of the typical system are discussed. Economic evaluations of solar water heaters are presented in increasingly complex levels of detail. Utilizing a typical system, the effective interest rate that the purchaser of a system would receive on money invested is shown for all regions of the country. The importance of numerous variables that can make a significant difference on the economics of the system is described. Methods for calculating the Payback Period for any non-typical solar water heater are described. This calculated Payback Period is then shown to be related to the effective interest rate that the puchaser of the system would receive for a typical set of economic conditions. A method is presented to calculate the effective interest rate that the solar system would provide. (MHR)
ANALYSIS OF FACTORS WHICH AFFECTING THE ECONOMIC GROWTH
Suparna Wijaya
2017-03-01
Full Text Available High economic growth and sustainable process are main conditions for sustainability of economic country development. They are also become measures of the success of the country's economy. Factors which tested in this study are economic and non-economic factors which impacting economic development. This study has a goal to explain the factors that influence on macroeconomic Indonesia. It used linear regression modeling approach. The analysis result showed that Tax Amnesty, Exchange Rate, Inflation, and interest rate, they jointly can bring effect which amounted to 77.6% on economic growth whereas the remaining 22.4% is the influenced by other variables which not observed in this study. Keywords: tax amnesty, exchange rates, inflation, SBI and economic growth
EU Funded Projects: from Financial to Economic Analysis
Andreea Lorena RADU
2011-06-01
Full Text Available Investment projects represent the basis of economic and social development of our country. The investment is a cost that will most influence the future, but it is necessary that this influence should be not only positive, but also should exceed the investment efforts. There could be different sources of financing the investment, but lately, European grants are more and more accessed by various economic agents or institutions. To obtain European financing, the project must fulfill certain conditions and must follow certain economic, social and environmental indicators. Also, for some financing lines, is required the economic analysis preparation, in order to demonstrate that the project benefits to society are important and cover the investments efforts. Thus, economic analysis studies the project influence on macro-economic or regional level, and evaluates its contribution to the welfare of the region or local community. The present paper aims to analyze the most important and available theoretical resources and to provide practical examples for carrying out the economic analysis. In conclusion, economic analysis is an useful tool for each project evaluation, but the biggest barriers to its development are the lack of valid data and the reduced Romanian experience. Under these conditions, input data can be incorrectly estimated, resulting illusory and subjective project data. For a proper projects selection based on indicators of economic assessment, it must be developed a national, complete and complex guide.
ECONOMIC EFFICENCY ANALYSIS OF THE INVESTMENT PROJECTS IN AGRICULTURE
Sorin Briciu
2014-10-01
Full Text Available The investments represent a factor of economic growth and development on long term, and for this reason, the economic efficiency analysis of the investment projects is an important element in funding the strategic options and decisions. In this article it is realized an overview of the theoretical framework regarding the investments, the relevance of cost - benefit analysis for investment projects, the economic efficiency of investments and ways to increase economic efficiency and it is realized a case study on the determination and analysis of economic efficiency of investment projects within the agriculture entities. The research leads to two major categories of tangible results, on the one hand it realized a qualitative theoretical synthesis on investments and their efficiency and on the other hand, it exemplifies the calculation, analysis and interpretation of the indicators used in the investment projects in entity by agriculture field.
SAMIULLAH QURESHI
2017-01-01
Full Text Available In Pakistan, the thermal efficiency of the power plants is low because of a huge share of fuel energy is dumped into the atmosphere as waste heat. The ORC (Organic Rankine Cycle has been revealed as one of the promising technologies to recover waste heat to enhance the thermal efficiency of the power plant. In current work, ORC is proposed as a second bottoming cycle for existing CCPP (Combined Cycle Power Plant. In order to assess the efficiency of the plant, a thermodynamic model is developed in the ESS (Engineering Equation Solver software. The developed model is used for parametric analysis to assess the effects of various operating parameters on the system performance. The analysis of results shows that the integration of ORC system with existing CCPP system enhances the overall power output in the range of 150.5-154.58 MW with 0.24-5% enhancement in the efficiency depending on the operating conditions. During the parametric analysis of ORC, it is observed that inlet pressure of the turbine shows a significant effect on the performance of the system as compared to other operating parameters.
A basic analysis of cogeneration economics
Collet, P.J.
1989-01-01
The economics of small scale gas turbine based cogeneration systems are analyzed on the basis of avoided costs for an electric utility exploiting such systems. This concerns a theoretical study in which the cogeneration system as a means for electricity generation is assumed to supplant the building
A basic analysis of cogeneration economics
Collet, P.J.
1989-01-01
The economics of small scale gas turbine based cogeneration systems are analyzed on the basis of avoided costs for an electric utility exploiting such systems. This concerns a theoretical study in which the cogeneration system as a means for electricity generation is assumed to supplant the building
Safaei, Mohsen; Meneghini, R. Michael; Anton, Steven R.
2017-09-01
Total knee arthroplasty is a common procedure in the United States; it has been estimated that about 4 million people are currently living with primary knee replacement in this country. Despite huge improvements in material properties, implant design, and surgical techniques, some implants fail a few years after surgery. A lack of information about in vivo kinetics of the knee prevents the establishment of a correlated intra- and postoperative loading pattern in knee implants. In this study, a conceptual design of an ultra high molecular weight (UHMW) knee bearing with embedded piezoelectric transducers is proposed, which is able to measure the reaction forces from knee motion as well as harvest energy to power embedded electronics. A simplified geometry consisting of a disk of UHMW with a single embedded piezoelectric ceramic is used in this work to study the general parametric trends of an instrumented knee bearing. A combined finite element and electromechanical modeling framework is employed to investigate the fatigue behavior of the instrumented bearing and the electromechanical performance of the embedded piezoelectric. The model is validated through experimental testing and utilized for further parametric studies. Parametric studies consist of the investigation of the effects of several dimensional and piezoelectric material parameters on the durability of the bearing and electrical output of the transducers. Among all the parameters, it is shown that adding large fillet radii results in noticeable improvement in the fatigue life of the bearing. Additionally, the design is highly sensitive to the depth of piezoelectric pocket. Finally, using PZT-5H piezoceramics, higher voltage and slightly enhanced fatigue life is achieved.
Arisholm, Gunnar
2007-05-14
Group velocity mismatch (GVM) is a major concern in the design of optical parametric amplifiers (OPAs) and generators (OPGs) for pulses shorter than a few picoseconds. By simplifying the coupled propagation equations and exploiting their scaling properties, the number of free parameters for a collinear OPA is reduced to a level where the parameter space can be studied systematically by simulations. The resulting set of figures show the combinations of material parameters and pulse lengths for which high performance can be achieved, and they can serve as a basis for a design.
Non-parametric trend analysis of water quality data of rivers in Kansas
Yu, Y.-S.; Zou, S.; Whittemore, D.
1993-01-01
Surface water quality data for 15 sampling stations in the Arkansas, Verdigris, Neosho, and Walnut river basins inside the state of Kansas were analyzed to detect trends (or lack of trends) in 17 major constituents by using four different non-parametric methods. The results show that concentrations of specific conductance, total dissolved solids, calcium, total hardness, sodium, potassium, alkalinity, sulfate, chloride, total phosphorus, ammonia plus organic nitrogen, and suspended sediment generally have downward trends. Some of the downward trends are related to increases in discharge, while others could be caused by decreases in pollution sources. Homogeneity tests show that both station-wide trends and basinwide trends are non-homogeneous. ?? 1993.
Chiao, Raymond Y
2012-01-01
An experiment is proposed to observe the dynamical Casimir effect by means of two tandem, high Q, superconducting microwave cavities, which are separated from each other by only a very thin wall consisting of a flexible superconducting membrane that can be driven into motion by means of resonant "pump" microwaves injected into the left cavity. Degenerate "signal" and "idler" microwave signals can then be generated by the exponential amplification of vacuum fluctuations in the initially empty right cavity, above a certain threshold. The purpose of this paper is calculate the threshold for this novel kind of opto-mechanical parametric oscillation, using energy considerations.
S. Touil
2016-12-01
0.0636 cm3 cm−3, respectively. The results of global sensitivity analyses (GSAs showed that the mathematical formalism of PTFs and their input variables reacted differently in terms of point pressure and texture. The point and parametric PTFs were sensitive mainly to the sand fraction in the fine- and medium-textural classes. The use of clay percentage (C % and bulk density (BD as inputs in the medium-textural class improved the estimation of PTFs at −33 kPa.
Exergy & economic analysis of biogas fueled solid oxide fuel cell systems
Siefert, Nicholas S.; Litster, Shawn
2014-12-01
We present an exergy and an economic analysis of a power plant that uses biogas produced from a thermophilic anaerobic digester (AD) to fuel a solid oxide fuel cell (SOFC). We performed a 4-variable parametric analysis of the AD-SOFC system in order to determine the optimal design operation conditions, depending on the objective function of interest. We present results on the exergy efficiency (%), power normalized capital cost ( kW-1), and the internal rate of return on investment, IRR, (% yr-1) as a function of the current density, the stack pressure, the fuel utilization, and the total air stoichiometric ratio. To the authors' knowledge, this is the first AD-SOFC paper to include the cost of the AD when conducting economic optimization of the AD-SOFC plant. Our calculations show that adding a new AD-SOFC system to an existing waste water treatment (WWT) plant could yield positives values of IRR at today's average electricity prices and could significantly out-compete other options for using biogas to generate electricity. AD-SOFC systems could likely convert WWT plants into net generators of electricity rather than net consumers of electricity while generating economically viable rates of return on investment if the costs of SOFC systems are within a factor of two of the DOE/SECA cost targets.
Chunxiang; ZHAO; Xinrong; YAN; Xu; GUO
2014-01-01
Based on 10 years of statistics concerning economic development in Xi’an as the main part of Guanzhong- Tianshui Economic Zone, this article builds the main indicator system to reflect economic development. Using two mathematical methods( principal component analysis and cluster analysis),we carry out comprehensive evaluation analysis of the main economic indicators,point out the distribution differences in the economic development level in this region,and make classification,in order to provide a scientific basis for the decision- making body to lay down the relevant economic development strategies in accordance with the economic development level and geographical location.
Robust non-parametric one-sample tests for the analysis of recurrent events.
Rebora, Paola; Galimberti, Stefania; Valsecchi, Maria Grazia
2010-12-30
One-sample non-parametric tests are proposed here for inference on recurring events. The focus is on the marginal mean function of events and the basis for inference is the standardized distance between the observed and the expected number of events under a specified reference rate. Different weights are considered in order to account for various types of alternative hypotheses on the mean function of the recurrent events process. A robust version and a stratified version of the test are also proposed. The performance of these tests was investigated through simulation studies under various underlying event generation processes, such as homogeneous and nonhomogeneous Poisson processes, autoregressive and renewal processes, with and without frailty effects. The robust versions of the test have been shown to be suitable in a wide variety of event generating processes. The motivating context is a study on gene therapy in a very rare immunodeficiency in children, where a major end-point is the recurrence of severe infections. Robust non-parametric one-sample tests for recurrent events can be useful to assess efficacy and especially safety in non-randomized studies or in epidemiological studies for comparison with a standard population.
Value at risk (VaR in uncertainty: Analysis with parametric method and black & scholes simulations
Humberto Banda Ortiz
2014-07-01
Full Text Available VaR is the most accepted risk measure worldwide and the leading reference in any risk management assessment. However, its methodology has important limitations which makes it unreliable in contexts of crisis or high uncertainty. For this reason, the aim of this work is to test the VaR accuracy when is employed in contexts of volatility, for which we compare the VaR outcomes in scenarios of both stability and uncertainty, using the parametric method and a historical simulation based on data generated with the Black & Scholes model. VaR main objective is the prediction of the highest expected loss for any given portfolio, but even when it is considered a useful tool for risk management under conditions of markets stability, we found that it is substantially inaccurate in contexts of crisis or high uncertainty. In addition, we found that the Black & Scholes simulations lead to underestimate the expected losses, in comparison with the parametric method and we also found that those disparities increase substantially in times of crisis. In the first section of this work we present a brief context of risk management in finance. In section II we present the existent literature relative to the VaR concept, its methods and applications. In section III we describe the methodology and assumptions used in this work. Section IV is dedicated to expose the findings. And finally, in Section V we present our conclusions.
Instability analysis of resonant standing waves in a parametrically excited boxed basin
Sirwah, Magdy A [Department of Mathematics, Faculty of Science, Tanta University, Tanta (Egypt)], E-mail: magdysirwah@yahoo.com
2009-06-15
Two-mode parametric excited interfacial waves of incompressible immiscible liquids in an infinite boxed basin subjected to a vertical excitation are studied. The method of multiple time scales is used to obtain uniform solutions of the second-order system as well as the third-order one, which in turn leads to the solvability conditions of the two orders including the cubic interaction terms. The different cases of resonance that arise among the natural frequencies together with the frequency of the vertical vibration of the box are demonstrated theoretically and numerical computations of one of these cases (the two-to-one internal resonance and the principal parametric resonance) have been performed in detail in order to investigate the behavior of the resonant waves, especially the qualitative one. The autonomous system of four first-order differential equations for the modulation of the amplitudes and phases of the resonant waves is derived. Some numerical applications are achieved to show the stability criteria of the excited liquids inside the considered basin.
Generic modelling framework for economic analysis of battery systems
You, Shi; Rasmussen, Claus Nygaard
2011-01-01
for battery cycle life estimation, since the cycle life plays a central role in the economic analysis of BS. To illustrate the modelling framework, a case study using a Sodium Sulfur Battery (NAS) system with 5-minute regulating service is performed. The economic performances of two dispatch scenarios, a so...
Resources and energy: an economic analysis
Banks, F.E.
1983-01-01
Two long core chapters on oil and on nonfuel minerals, along with an exposition of the econometrics of primary commodities, give the reader a basic insight into the economic techniques and their uses. There are also chapters on coal, gas, and uranium, which include an overview of the Soviet energy sector and the Australian coal industry. The book introduces oil refining, petrochemicals, futures markets, inventories, capital costs, tin, stock-flow models, and other topics not usually handled in most economics text and reference books. There is also a short survey of iron and steel. The book concludes with the note that attempts to check inflation by monetary means in the presence of the kind of consumer and corporate debt that exists today is begging for catastrophe. Monetarism, like champagne, is good for pleasure, but very bad for business. 210 references, 47 figures, 41 tables.
ANALYSIS OF ECONOMIC SHOCKS AFFECTING EURO AREA
MARIUS-CORNELIU MARINAS
2011-04-01
Full Text Available The objective of this study is to explain the causes of economic shocks that are manifested in the euro area countries and to examine the possibilities of their adjustment in the context of a common monetary policy. The member countries of the European Monetary Union can not use its own exchange rate or monetary policy to neutralize the economic shocks. Therefore, they must find new ways to adjust the shocks such increase labor market flexibility and promoting reforms in the areas with significant structural rigidities. Common monetary policy also generates asymmetric shocks, as long as Member States are in different phases of the business cycle. In this study I have demonstrated that the ECB's monetary policy has favored Germany and has disadvantaged the countries confronted in present with problems of debt financing.
Comprehensive Evaluation of Economic Indicators in Guangxi Economic Zone Based on Parallel Analysis
Guangdong; ZENG; Chunxiang; ZHAO
2015-01-01
When making comprehensive evaluation on economy of an area,it is always hard to choose evaluation indicator system and composite indicators reasonably. This article uses parallel analysis to choose the number of principal component and classify indicators by R clustering and load rotation matrix to assess the economy of various cities in the economic zone and analyze economic status of each city,to provide a scientific basis for the government functional department to make correct decisions.
North Korea: Economic Leverage and Policy Analysis
2009-06-04
push factor” for potential refugees seeking to flee the country, creates pressures for the country to trade in arms or engage in illicit economic...play basketball and reportedly was a fan of the NBA and Michael Jordan. He returned to Pyongyang in his late teens. Goals and Means These...treatment of returned refugees in North Korea. The Six-Party Agreement (United States, China, Russia, Japan, South Korea, and the DPRK) of February
Economic analysis of freeway town of Yunnan
Zhao Junquan; Zhang Haixiang
2009-01-01
Freeway town in Yunnan is driving to promote the economic development ties.The development along the highway in the town will become the central point of the performance the high-intensive economy in space and will increase new economic growth point along highway the vertical and horizontal development of the area around the gradient the proliJeration Point and Area.The highway town will develop to speed up the urbanization process and China should accelerate the development of the freeway town.Encouraging farmers will shift the highway town where some good conditions will build to.form a regional economic development and growth.This will be the promotion an inevitable choice of progress and rational way of China's rural economic" and social prosperity.In particular,freeway town will bring more added value of other social services of accommodation and catering industry of wholesale and retail of transportation and warehousing.Highway town and agriculture industrialization development will increase agriculture industry chain to improve agricultural products value and will enhance agricultural efficiency in Yunnan.The concentration of the non-agricultural industries of the speedway town will form pillar industries of highway town and will promote of tertiary industry development of hotels of insurance of finance of business of sports of culture of education of communications of transportation.Rural areas of Yunnan will adjust to optimize the industrial structure.It is estimated that a total 10 construction of the highway town of Yunnan will increase 0.8-1 billion )man revenue each year.
Economic analysis of spider web airline networks
无
2009-01-01
The distinct network organization, management, service and operating characteristics of US Southwest Airlines are key elements of its success compared with other airlines. As a network organization type, the spider web airline network has received more attention. In this paper, we analyzed the relation between the spider web airline network and spider web, and the structure of spider web airline network, built the assignment model of the spider web airline network,and investigated the economics concerned.
Ecological-Economic Analysis of Wetlands
R.K. Turner; Van den Bergh, J.C.J.M.; Barendregt, A.; Maltby, E.
1998-01-01
Wetlands all over the world have been lost or are threatened in spite of various international agreements and national policies. This is caused by: (1) the public nature of many wetlands products and services; (2) user externalities imposed on other stakeholders; and (3) policy intervention failures that are due to a lack of consistency among government policies in different areas (economics, environment, nature protection, physical planning, etc.). All three causes are related to information...
A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500
Abhay K. Singh
2013-10-01
Full Text Available This paper features an analysis of the relationship between the S&P 500 Index and the VIX using daily data obtained from the CBOE website and SIRCA (The Securities Industry Research Centre of the Asia Pacific. We explore the relationship between the S&P 500 daily return series and a similar series for the VIX in terms of a long sample drawn from the CBOE from 1990 to mid 2011 and a set of returns from SIRCA’s TRTH datasets from March 2005 to-date. This shorter sample, which captures the behavior of the new VIX, introduced in 2003, is divided into four sub-samples which permit the exploration of the impact of the Global Financial Crisis. We apply a series of non-parametric based tests utilizing entropy based metrics. These suggest that the PDFs and CDFs of these two return distributions change shape in various subsample periods. The entropy and MI statistics suggest that the degree of uncertainty attached to these distributions changes through time and using the S&P 500 return as the dependent variable, that the amount of information obtained from the VIX changes with time and reaches a relative maximum in the most recent period from 2011 to 2012. The entropy based non-parametric tests of the equivalence of the two distributions and their symmetry all strongly reject their respective nulls. The results suggest that parametric techniques do not adequately capture the complexities displayed in the behavior of these series. This has practical implications for hedging utilizing derivatives written on the VIX.
An economic analysis of the Maricopa decision.
Goldberg, L G; Greenberg, W
1987-01-01
In Arizona v. Maricopa County Medical Society the United States Supreme Court ruled in a 4-3 decision that the Maricopa Foundation for Medical Care, a nonprofit Arizona corporation, had violated Section 1 of the Sherman Act by engaging in a maximum price-fixing scheme. The Supreme Court in this decision, however, failed to consider the economic impact of the Maricopa Foundation on the cost and quality of health care. The Court's adoption of a per se approach in Maricopa can have a negative impact upon the competition which the antitrust laws are attempting to promote. By focusing only on the narrow aspect of price fixing, the Court ignored (1) the potential of the Maricopa Foundation to contain costs, (2) the potential competitive effect that the foundation may have on third-party carriers and organizations in the marketplace, (3) the relationship of maximum price fixing to economic performance, and (4) the nature of competition in the health care marketplace. This article describes the background of Maricopa as well as the Supreme Court decision. It describes foundations for medical care with special emphasis on the Maricopa Foundation and analyzes Maricopa from an economic rather than the traditional legal perspective, emphasizing how the two perspectives might differ. Attention is paid to the concept of maximum price fixing in the health care marketplace. The concluding section evaluates the Supreme Court decision.
Economic Analysis of World Bank Education Projects and Project Outcomes
Vawda, Ayesha Yaqub; Moock, Peter; Gittinger, J. Price; Patrinos, Harry Anthony
2003-01-01
This paper tests the hypothesis that World Bank education projects have a higher likelihood of being successful if at the time of appraisal, they underwent good quality economic analysis. Analysis shows a strong relationship between the quality of cost-benefit analysis and cost-effectiveness analysis and the quality of project outcomes. Economic…
Scrutinizing The Epistemology of Islamic Economics: A Historical Analysis
Nurizal Ismail
2016-05-01
Full Text Available The first International Conference on Islamic Economics was held in Makkah, in 1976. Economists, jurists and scholars met together to discuss issues of Muslim ummah. However, there was many books written related to Islamic economics in the history of Islamic civilization, especially in the period of Abbasid caliphate. The fact, development of knowledge in Islamic medieval had established the epistemology of Islamic economics itself. Moreover, the epistemology is a study of the theory of knowledge, the source of knowledge, the application of knowledge and limitation of knowledge. Therefore, this paper aims to explore the contribution of earlier Muslim thinkers to the source of Islamic economics and to identify the epistemology of Islamic economics as proposed by the Muslim thinkers in medieval period. As a result, this paper will propose the epistemology of Islamic economics by integrating Islamic heritage and modern economics that is not conflict with Islamic principles and values. To achieve its objectives; this study employs qualitative research by applying content and descriptive analysis. The finding of this study is that the earlier Muslim thinkers have contributed to the construction of epistemology in Islamic economics. Then, to construct the genuine of Islamic economics, tawhid must be put as a core of Islamic economic epistemology that directs the sources of knowledge which are rooted firstly from revealed and then rational knowledge by using appropriate methods.
Financial development and economic growth. An empirical analysis for Ireland
Antonios Adamopoulos
2010-07-01
Full Text Available This study investigated the relationship between financial development and economicgrowth for Ireland for the period 1965-2007 using a vector error correction model (VECM.Questions were raised whether financial development causes economic growth or reverselytaking into account the positive effect of industrial production index. Financial marketdevelopment is estimated by the effect of credit market development and stock marketdevelopment on economic growth. The objective of this study was to examine the long-runrelationship between these variables applying the Johansen cointegration analysis takinginto account the maximum eigenvalues and trace statistics tests. Granger causality testsindicated that economic growth causes credit market development, while there is a bilateralcausal relationship between stock market development and economic growth. Therefore, itcan be inferred that economic growth has a positive effect on stock market development andcredit market development taking into account the positive effect of industrial productiongrowth on economic growth for Ireland.
Parametric Instability: An Elementary Demonstration and Discussion.
Case, William
1980-01-01
Discusses parametric oscillators and parametric instability. A simple, easy-to-construct system which exhibits parametric instability is presented. The two lowest-order resonances are described and analyzed in detail. The analysis stresses the physical and intuitive aspects of the problem. (Author/HM)
Economic analysis of the structure, Integration and Performance of ...
Economic analysis of the structure, Integration and Performance of Rice Markets in Dekina Local Government Area of Kogi ... Open Access DOWNLOAD FULL TEXT ... The data for the study were collected with the aid of a questionnaire.
Economic Analysis of Small Scale Egg Production in Gombe Local ...
Open Access DOWNLOAD FULL TEXT Subscription or Fee Access. Economic Analysis of Small Scale Egg Production in Gombe Local Government Area, ... Data were collected from 36 famers using simple random sampling technique.
Analysis of Socio-Economic Factors Influencing Farmers' Adoption ...
Analysis of Socio-Economic Factors Influencing Farmers' Adoption of Rice ... Farming experience, household size, farm size and extension contact ... gender, market availability, education, extension contact, labour availability and farm size.
American Airlines Propeller STOL Transport Economic Risk Analysis
Ransone, B.
1972-01-01
A Monte Carlo risk analysis on the economics of STOL transports in air passenger traffic established the probability of making the expected internal rate of financial return, or better, in a hypothetical regular Washington/New York intercity operation.
environmental/economic analysis and recycling of wastes from air ...
Dr Obe
Environmental and economic analysis was performed on the wastes from Air Liquid Nigeria. Ltd. The company's ... show no serious adverse impact on the ambient air quality. There was serious ... transportation purposes. On account of the.
Analysis of an economic order quantity and reorder point inventory ...
Analysis of an economic order quantity and reorder point inventory control model for Siba ... Open Access DOWNLOAD FULL TEXT ... In addition, a cost estimate was done to compare both her current model and the recommended models.
North Korea: Economic Leverage and Policy Analysis
2010-01-22
found a secret weapon that has been a hit with North Koreans: South Korean “ Choco Pies,” a snack consisting of two large round cookies covered with...chocolate with a filling of marshmallow in between much like an Oreo cookie. Choco Pies have been so popular in the lunches provided to Kaesong...North Korea,” Reuters, June 4, 2009. 26 “N.Koreans Love Choco Pie,” Chosen Ilbo, May 23, 2009, English Internet edition. . North Korea: Economic
Economic openness and economic growth: A cointegration analysis for ASEAN-5 countries
Klimis Vogiatzoglou
2016-11-01
Full Text Available The paper considers three channels of economic openness, namely FDI, imports, and exports, and examines their short-run and long-run effects on the economic growth in the five founding member countries of the Association of Southeast Asian Nations (ASEAN over the period from 1980 to 2014. Besides the impact on the economic growth, the authors analyze all possible causal interrelationships to discern patterns and directions of causality among FDI, imports, exports, and GDP. The quantitative analysis, which is based on the vector error correction co-integration framework, is conducted separately for each country in order to assess their individual experiences and allow for a comparative view. Although the precise details differ across countries, the findings indicate that there is a long-run equilibrium relationship between economic openness and GDP in all ASEAN-5 economies. FDI, imports and exports have a significantly positive short-run and long-run impact on the economic growth. Our results also show that export-led growth is the most important economic growth factor in most countries, followed by FDI-led growth. Another crucial finding is the bi-directional causality between exports and FDI across the ASEAN-5 countries. This indicates the presence of direct and indirect effects on GDP and a self-reinforcing process of causality between those two variables, which strengthens their impact on the economic growth.
Social and Economic Analysis Branch: integrating policy, social, economic, and natural science
Schuster, Rudy; Walters, Katie D.
2015-01-01
The Fort Collins Science Center's Social and Economic Analysis Branch provides unique capabilities in the U.S. Geological Survey by leading projects that integrate social, behavioral, economic, and natural science in the context of human–natural resource interactions. Our research provides scientific understanding and support for the management and conservation of our natural resources in support of multiple agency missions. We focus on meeting the scientific needs of the Department of the Interior natural resource management bureaus in addition to fostering partnerships with other Federal and State managers to protect, restore, and enhance our environment. The Social and Economic Analysis Branch has an interdisciplinary group of scientists whose primary functions are to conduct both theoretical and applied social science research, provide technical assistance, and offer training to support the development of skills in natural resource management activities. Management and research issues associated with human-resource interactions typically occur in a unique context and require knowledge of both natural and social sciences, along with the skill to integrate multiple science disciplines. In response to these challenging contexts, Social and Economic Analysis Branch researchers apply a wide variety of social science concepts and methods which complement our rangeland/agricultural, wildlife, ecology, and biology capabilities. The goal of the Social and Economic Analysis Branch's research is to enhance natural-resource management, agency functions, policies, and decisionmaking.
Dhruba Das
2015-04-01
Full Text Available In this article, based on Zadeh’s extension principle we have apply the parametric programming approach to construct the membership functions of the performance measures when the interarrival time and the service time are fuzzy numbers based on the Baruah’s Randomness- Fuzziness Consistency Principle. The Randomness-Fuzziness Consistency Principle leads to defining a normal law of fuzziness using two different laws of randomness. In this article, two fuzzy queues FM/M/1 and M/FM/1 has been studied and constructed their membership functions of the system characteristics based on the aforesaid principle. The former represents a queue with fuzzy exponential arrivals and exponential service rate while the latter represents a queue with exponential arrival rate and fuzzy exponential service rate.
Yong Zhao
1996-01-01
Full Text Available The large strain ratcheting in cyclic plasticity of a typical pressurized pipe elbow in a realistic nuclear piping system was investigated in a more quantitative manner than previously. The elbow was modeled using a fine mesh of shell elements that can provide the completed information of detailed time varying strain distributions in the whole elbow area. The nonlinear time history stress analyses performed were based on a pseudostatic concept using the vector-valued stochastic displacement response time series loaded at the elbow ends. The response time series were synthesized using a simulation approach based on the random vibration analyses of the piping system and its supporting building. After a finite element mesh convergence study, parametric analyses were conducted that included the effects due to the magnitude changes in excitation level, internal pressure, material yield stress, and material strain hardening.
Parametric and Non-Parametric System Modelling
Nielsen, Henrik Aalborg
1999-01-01
considered. It is shown that adaptive estimation in conditional parametric models can be performed by combining the well known methods of local polynomial regression and recursive least squares with exponential forgetting. The approach used for estimation in conditional parametric models also highlights how....... For this purpose non-parametric methods together with additive models are suggested. Also, a new approach specifically designed to detect non-linearities is introduced. Confidence intervals are constructed by use of bootstrapping. As a link between non-parametric and parametric methods a paper dealing with neural...... the focus is on combinations of parametric and non-parametric methods of regression. This combination can be in terms of additive models where e.g. one or more non-parametric term is added to a linear regression model. It can also be in terms of conditional parametric models where the coefficients...
The science of ecological economics: a content analysis of Ecological Economics, 1989-2004.
Luzadis, Valerie A; Castello, Leandro; Choi, Jaewon; Greenfield, Eric; Kim, Sung-kyun; Munsell, John; Nordman, Erik; Franco, Carol; Olowabi, Flavien
2010-01-01
The Ecological Economics journal is a primary source for inquiry on ecological economics and sustainability. To explore the scholarly pursuit of ecological economics, we conducted a content analysis of 200 randomly sampled research, survey, and methodological articles published in Ecological Economics during the 15-year period of 1989-2004. Results of the analysis were used to investigate facets of transdisciplinarity within the journal. A robust qualitative approach was used to gather and examine data to identify themes representing substantive content found within the span of sampled journal papers. The extent to which each theme was represented was counted as well as additional data, such as author discipline, year published, etc. Four main categories were revealed: (1) foundations (self-reflexive themes stemming from direct discussions about ecological economics); (2) human systems, represented by the themes of values, social indicators of well-being, intergenerational distribution, and equity; (3) biophysical systems, including themes, such as carrying capacity and scarcity, energy, and resource use, relating directly to the biophysical aspects of systems; and (4) policy and management encompassing themes of development, growth, trade, accounting, and valuation, as well as institutional structures and management. The results provide empirical evidence for discussing the future direction of ecological economic efforts.
Silver-Thorn, M B; Childress, D S
1996-07-01
A finite element (FE) model of the below-knee residual limb and prosthetic socket was created to investigate the effects of parameter variations on the interface stress distribution during static stance. This model was based upon geometric approximations of anthropometric residual limb geometry. The model was not specific to an individual with amputation, but could be scaled to approximate the limb of a particular subject. Parametric analyses were conducted to investigate the effects of prosthetic socket design and residual limb geometry on the residual limb/prosthetic socket interface stresses. Behavioral trends were illustrated via sensitivity analysis. The results of the parametric analyses indicate that the residual limb/prosthetic socket interface stresses are affected by variations in both prosthetic design and residual limb geometry. Specifically, the analyses indicate: 1) the residual limb/prosthetic liner interface pressures are relatively insensitive to the socket stiffness; 2) the stiffness of the prosthetic liner influences the interface stress distribution for both the unrectified and patellar-tendon-bearing (PTB) rectified models-the external load state appears to influence the interface pressure distribution, while the prosthetic socket rectification appears to influence the interface shear stress distribution; 3) the interface pressures are very sensitive to the prosthetic rectification; 4) the shape and relative bulk of soft tissue may significantly influence the interface pressure distribution; 5) the interface pressure distribution is also influenced by the residual limb length; and 6) the stiffness/compliance of the residual limb soft tissues may significantly alter the interface pressure distribution.
'nparACT' package for R: A free software tool for the non-parametric analysis of actigraphy data.
Blume, Christine; Santhi, Nayantara; Schabus, Manuel
2016-01-01
For many studies, participants' sleep-wake patterns are monitored and recorded prior to, during and following an experimental or clinical intervention using actigraphy, i.e. the recording of data generated by movements. Often, these data are merely inspected visually without computation of descriptive parameters, in part due to the lack of user-friendly software. To address this deficit, we developed a package for R Core Team [6], that allows computing several non-parametric measures from actigraphy data. Specifically, it computes the interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) of activity and gives the start times and average activity values of M10 (i.e. the ten hours with maximal activity) and L5 (i.e. the five hours with least activity). Two functions compute these 'classical' parameters and handle either single or multiple files. Two other functions additionally allow computing an L-value (i.e. the least activity value) for a user-defined time span termed 'Lflex' value. A plotting option is included in all functions. The package can be downloaded from the Comprehensive R Archives Network (CRAN). •The package 'nparACT' for R serves the non-parametric analysis of actigraphy data.•Computed parameters include interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) as well as start times and average activity during the 10 h with maximal and the 5 h with minimal activity (i.e. M10 and L5).
ANALYSIS OF ECONOMIC EFFICIENCY IN BROILERS FATTENING
L. SABAU
2013-07-01
Full Text Available The paper aimed to analyze economic efficiency in broilers fattening . In this purpose , the study was carried out at Breading Prod Commercial Company, Giarmata, Timis County . The economic and financial results of two series of broilers fattening have been comparatively analyzed based on the following specific indicators variable costs ( one day chicken supply , medicines, disinfectants , veterinary services , straw bed, feeding, fuels, electricity , watering , labor force , fixed costs ( rent, interest, fixed assets depreciation , communication and other taxes , total production costs , cost per marketed broiler, cost per square meter , cost per kg live weight , gross margin , incomes ( incomes coming from marketed broilers and subsidies , profit, profit rate , profit per marketed broiler, profit per square meter, profit per kg live weight , costs to 1,000 incomes and incomes to 1,000 costs. This comparison proved that the higher the chickens series size , the higher costs and incomes . The both fatenning series have profitable but the series S2 registered lower financial performances .
Basis of economic analysis of Czech firms
Gabriela Chmelíková
2010-01-01
Full Text Available When looking for connections between particular business’s activities, theory of financial management uses pyramidal system of indicators. The effectiveness of this tool is based on the appropriate choice of the top indicator. Its decomposition enables to manage firm’s processes from the bottommost organizational levels to the main firm’s mission with respect to the connections between particular processes. The aim of this paper was to identify appropriate indicator, which corresponds with creation of firm’s value and design its decomposition. To measure creation of firm’s value it is nowadays very popular to use indicator Economic Value Added (EVA. Though from the theoretical point of view EVA is seen as a superior performance metric, the results of some empirical studies do not support this claim. That is why the information content of EVA was controlled in the concrete conditions of Czech Economy within this article. The results showed eligibility of using EVA in Czech firms and enabled to choose it as the top indicator in the pyramidal system. Ambition of further research is to design a complex of indicators offering a comprehensive economic view on the firm’s performance.
Interdisciplinary Success Of Law And Economy: Economic Analysis Of Law
Ivana Barković
2009-07-01
Full Text Available Economic analysis of law defines as an application of economic theory and economic methods in studies of forming, structure, process and influence of the law and legal institution. Although many comment that it is the question of a new scientific discipline or contemporary intellectual movement, the economic analysis of law reaches even the classics of economic thought Adam Smith and David Hume but the real recognition of the analysis was the publishing of the famous article of Ronald Coase (1960 “Problem of Public Expense” . Here he discusses how the incentives for damage reduction and various negativities come from the allocation of property rights. The aim of this work is to present an economic analysis of law as an interdisciplinary success of two great fields – law and economy, i.e. to present the way on which economy helps to understand law in a new way. Realizing it, the economy uses mathematically precise theories (e.g. price theory, game theory etc. and empirically firm methods (statistics and econometrically to analyse the impact of prices, i.e. of sanctions on behaviour. The article shows basic economic analyses of law which especially cite the contract law and balance law.
From partial to total economic analysis. Five applications to environmental and energy economics
Hoffmann, T.
2006-05-04
The studies presented in this thesis address the consequences of market distortions of governmental policies - predominantly in the area of environmental and energy policy. The studies cover different economic aggregation levels: The first study aims at investigating firm-level effects. Thus, the results refer only to a small number of well-defined economic entities, e.g. electricity supply companies in Germany. Subsequently, issues - such as the evaluation of efficiency effects of the European Emissions Trading system - are addressed on a multi-sectoral and multi-regional level, but still only one market is considered. Thereupon, the scope of investigation is broadened by interactions of different markets - e.g. as in the case of the economic evaluation of renewable energy promotion strategies. Finally, a general equilibrium analysis of a European nuclear phase-out scenario covers all economic feed-backs on the national and international level. (orig.) 5.
Economic analysis of basiliximab in renal transplantation.
Keown, P A; Balshaw, R; Krueger, H; Baladi, J F
2001-06-15
Basiliximab is a chimeric monoclonal directed against the alpha-chain of the interleukin-2 receptor. International studies have shown that it is highly effective in preventing acute rejection in patients receiving Neoral, and causes no measurable incremental toxicity, but its economic value remains unknown. This study employed an economic model to examine the potential economic benefit of basiliximab. Parameter estimates were derived from a randomized, prospective, double-blind study conducted in 21 renal transplant centers in seven countries in which 380 adult primary allograft recipients were randomized within center to receive basiliximab (20 mg i.v.) on days 0 and 4 or placebo in addition to dual immunosuppression with Neoral and steroids. Key clinical events included primary hospitalization, immunosuppressive drug use, patient and graft survival, graft rejection, treatment of rejection, dialysis, and repeat hospitalization. Health resources were valued via a comprehensive electronic cost dictionary, based upon a detailed economic evaluation of renal transplantation in Canada. Medication costs were calculated from hospital pharmacy acquisition costs; basiliximab was assessed a zero cost. The average estimated cost per patient for the first year after transplant was $55,393 (Canadian dollars) for placebo and $50,839 for basiliximab, rising to $141,690 and $130,592, respectively, after 5 years. A principal component of the cost in both groups was accrued during the initial transplant hospitalization ($14,663 for standard therapy and $14,099 for basiliximab). An additional $15,852 and $14,130 was attributable to continued care, graft loss, and dialysis in the two groups, whereas follow-up hospitalization consumed an additional $15,538 for placebo and $13,916 for basiliximab. The mean incremental cost of dialysis was $5,397 for placebo compared with $3,821 for basiliximab, whereas incremental costs of graft loss were $2,548 compared with $2,295 in the two treatment
张洪武; 张新伟
2002-01-01
The objective of the paper is to develop a new algorithm for numericalsolution of dynamic elastic-plastic strain hardening/softening problems. The gradientdependent model is adopted in the numerical model to overcome the result mesh-sensitivity problem in the dynamic strain softening or strain localization analysis.The equations for the dynamic elastic-plastic problems are derived in terms of theparametric variational principle, which is valid for associated, non-associated andstrain softening plastic constitutive models in the finite element analysis. The preciseintegration method, which has been widely used for discretization in time domain ofthe linear problems, is introduced for the solution of dynamic nonlinear equations.The new algorithm proposed is based on the combination of the parametric quadraticprogramming method and the precise integration method and has all the advantagesin both of the algorithms. Results of numerical examples demonstrate not only thevalidity, but also the advantages of the algorithm proposed for the numerical solutionof nonlinear dynamic problems.
SINGULAR SPECTRUM ANALYSIS: METHODOLOGY AND APPLICATION TO ECONOMICS DATA
Hossein HASSANI; Anatoly ZHIGLJAVSKY
2009-01-01
This paper describes the methodology of singular spectrum analysis (SSA) and demonstrate that it is a powerful method of time series analysis and forecasting, particulary for economic time series. The authors consider the application of SSA to the analysis and forecasting of the Iranian national accounts data as provided by the Central Bank of the Islamic Republic of lran.
An economic analysis of migration in Mexico.
Greenwood, M J; Ladman, J R
1978-07-01
This paper analyzes internal migration in Mexico over the 1960-70 period. A model of the determinants of migration is specified and estimated for aggregated interstate migration flows. Results show that distance serves as a significant deterrent to migration, that higher destination earning levels are attractive to migrants, and that regions with high unemployment rates experience lower rates of inmigration. An unanticipated finding is that regions with higher earning levels have greater rates of outmigration. The data are disaggregated to examine separate migration relationships for each state. The results are that distance is a lesser deterrent for those migrants with more accessible alternatives, that higher earning levels reduce the deterring effects of distance, and that regions with higher earning levels have lower associated elasticities of migration. It is concluded that economic factors have played a crucial role in internal migration and thus in the changing occupational and geographic structure of the Mexican labor force.
Economic analysis of large solar power plants
Klaiss, Helmut; Nitsch, Joachim; Geyer, Michael
1987-11-01
The current status and future potential of solar-tower, parabolic-reflector/Stirling-engine, channel-collector, and photovoltaic solar power plants of capacity 10 MWe or more are discussed. Consideration is given to the geographic and technological limitations, initial investment and operating costs, presently operating facilities, market openings, and critical technological challenges controlling future expansion. Numerical data are presented in tables and graphs, and it is concluded that solar power production will soon become economically competitive. It is suggested that the channel collector, at present the most mature and cost-efficient technology, has the least potential for further improvement, and that parabolic/Stirling and photovoltaic systems are probably better suited to smaller applications than to large-scale commercial power production.
Leland S Hu
Full Text Available Genetic profiling represents the future of neuro-oncology but suffers from inadequate biopsies in heterogeneous tumors like Glioblastoma (GBM. Contrast-enhanced MRI (CE-MRI targets enhancing core (ENH but yields adequate tumor in only ~60% of cases. Further, CE-MRI poorly localizes infiltrative tumor within surrounding non-enhancing parenchyma, or brain-around-tumor (BAT, despite the importance of characterizing this tumor segment, which universally recurs. In this study, we use multiple texture analysis and machine learning (ML algorithms to analyze multi-parametric MRI, and produce new images indicating tumor-rich targets in GBM.We recruited primary GBM patients undergoing image-guided biopsies and acquired pre-operative MRI: CE-MRI, Dynamic-Susceptibility-weighted-Contrast-enhanced-MRI, and Diffusion Tensor Imaging. Following image coregistration and region of interest placement at biopsy locations, we compared MRI metrics and regional texture with histologic diagnoses of high- vs low-tumor content (≥80% vs <80% tumor nuclei for corresponding samples. In a training set, we used three texture analysis algorithms and three ML methods to identify MRI-texture features that optimized model accuracy to distinguish tumor content. We confirmed model accuracy in a separate validation set.We collected 82 biopsies from 18 GBMs throughout ENH and BAT. The MRI-based model achieved 85% cross-validated accuracy to diagnose high- vs low-tumor in the training set (60 biopsies, 11 patients. The model achieved 81.8% accuracy in the validation set (22 biopsies, 7 patients.Multi-parametric MRI and texture analysis can help characterize and visualize GBM's spatial histologic heterogeneity to identify regional tumor-rich biopsy targets.
STOCK MARKET DEVELOPMENT AND ECONOMIC GROWTH AN EMPIRICAL ANALYSIS
Vazakidis Athanasios
2012-01-01
Full Text Available This study investigated the causal relationship between stock market development and economic growth for Greece for the period 1978-2007 using a Vector Error Correction Model (VECM. Questions were raised whether stock market development causes economic growth taking into account the negative effect of interest rate on stock market development. The purpose of this study was to investigate the short-run and the long-run relationship between the examined variables applying the Johansen co-integration analysis. To achieve this objective unit root tests were carried out for all time series data in their levels and their first differences. Johansen co-integration analysis was applied to examine whether the variables are co-integrated of the same order taking into account the maximum eigenvalues and trace statistics tests. Finally, a vector error correction model was selected to investigate the long-run relationship between stock market development and economic growth. A short-run increase of economic growth per 1% induced an increase of stock market index 0.41% in Greece, while an increase of interest rate per 1% induced a relative decrease of stock market index per 1.42% in Greece. The estimated coefficient of error correction term was statistically significant and had a negative sign, which confirmed that there was not any problem in the long-run equilibrium between the examined variables. The results of Granger causality tests indicated that there is a unidirectional causality between stock market development and economic growth with direction from economic growth to stock market development and a unidirectional causal relationship between economic growth and interest rate with direction from economic growth to interest rate. Therefore, it can be inferred that economic growth has a direct positive effect on stock market development while interest rate has a negative effect on stock market development and economic growth respectively.
A meta-analysis of economic diplomacy and its effect on international economic flows
S.J.V. Moons (Selwyn); P.A.G. van Bergeijk (Peter)
2013-01-01
textabstractThis meta-analysis deals with 29 empirical studies on the trade and investment impact of economic diplomacy (embassies, consulates and other diplomatic facilities, investment and export promotion offices, trade and state visits). The meta-regression results suggest that the significance
TECHNICAL AND ECONOMICAL ANALYSIS OF LOGGING CONTRACTORS
Abilio Donizetti de Morais Filho
2009-09-01
Full Text Available The objective of this study was to describe the financial conditions of forestry contractors, concerning life quality aspects, condition of work and equipments, operational costs, and economic credit to invest in new technologies. Five companies had been analyzed, with an annual income between US$ 400,000.00 and US$ 1,720,000.00, with an average of US$ 950,000.00. The number of employees varied between 33 and 181, and the companies were classified in terms of size as: one small, two average, and two big. The main difficulties to invest in new machines were high financial taxes, more than 12% an year, and a lack of long term contracts to guarantee the payment capability. It was observed that the contractors did not consider the capital remuneration and a correct depreciation of machines, resulting in an average machine life higher than 10 years. The final conclusions were that the costs were above the paid values for the services, when computed the depreciation and capital remuneration, with negative results in the financial analyzes of three companies. Finally, the mechanization process increased the workers life quality, however, the annual income was around US$ 2,112.00 per worker, approximately 39% lower than the average Brazilian population.
Han, Xiujing; Bi, Qinsheng; Ji, Peng; Kurths, Jürgen
2015-07-01
We present a general method for analyzing mixed-mode oscillations (MMOs) in parametrically and externally excited systems with two low excitation frequencies (PEESTLEFs) for the case of arbitrary m:n relation between the slow frequencies of excitations. The validity of the approach has been demonstrated using the equations of Duffing and van der Pol, separately. Our study shows that, by introducing a slow variable and finding the relation between the slow variable and the slow excitations, PEESTLEFs can be transformed into a fast-slow form with a single slow variable and therefore MMOs observed in PEESTLEFs can be understood by the classical machinery of fast subsystem analysis of the transformed fast-slow system.
Peng, Bo; Kowalski, Karol
2016-12-01
In this paper we derive basic properties of the Green's-function matrix elements stemming from the exponential coupled-cluster (CC) parametrization of the ground-state wave function. We demonstrate that all intermediates used to express the retarded (or, equivalently, ionized) part of the Green's function in the ω representation can be expressed only through connected diagrams. Similar properties are also shared by the first-order ω derivative of the retarded part of the CC Green's function. Moreover, the first-order ω derivative of the CC Green's function can be evaluated analytically. This result can be generalized to any order of ω derivatives. Through the Dyson equation, derivatives of the corresponding CC self-energy operator can be evaluated analytically. In analogy to the CC Green's function, the corresponding CC self-energy operator can be represented by connected terms. Our analysis can easily be generalized to the advanced part of the CC Green's function.
Chong Shi
2015-01-01
Full Text Available Based on the distribution of the stone blocks in outwash deposits, the paper present a modeling method for the random structure of outwash deposits, in which the long axis of the stone blocks is supposed obeying a lognormal distribution. Then numerical experiments of biaxial compression using the granular discrete element method are used in the macro- and micro parametric analysis. The influences of strength of the cementation, the sizes of stone blocks, and the content of stone blocks on the peak compressive and shear strength are discussed. The micromechanical parameters of the outwash deposits are also analyzed. The proposed method offers a supplement to the mechanical characterization of outwash deposits and accounts for the limitation that indoor experiments cannot consider large stone blocks.
Ford, Eric B; Steffen, Jason H; Carter, Joshua A; Fressin, Francois; Holman, Matthew J; Lissauer, Jack J; Moorhead, Althea V; Morehead, Robert C; Ragozzine, Darin; Rowe, Jason F; Welsh, William F; Allen, Christopher; Batalha, Natalie M; Borucki, William J; Bryson, Stephen T; Buchhave, Lars A; Burke, Christopher J; Caldwell, Douglas A; Charbonneau, David; Clarke, Bruce D; Cochran, William D; Désert, Jean-Michel; Endl, Michael; Everett, Mark E; Fischer, Debra A; Gautier, Thomas N; Gilliland, Ron L; Jenkins, Jon M; Haas, Michael R; Horch, Elliott; Howell, Steve B; Ibrahim, Khadeejah A; Isaacson, Howard; Koch, David G; Latham, David W; Li, Jie; Lucas, Philip; MacQueen, Phillip J; Marcy, Geoffrey W; McCauliff, Sean; Mullally, Fergal R; Quinn, Samuel N; Quintana, Elisa; Shporer, Avi; Still, Martin; Tenenbaum, Peter; Thompson, Susan E; Torres, Guillermo; Twicken, Joseph D; Wohler, Bill
2012-01-01
We present a new method for confirming transiting planets based on the combination of transit timingn variations (TTVs) and dynamical stability. Correlated TTVs provide evidence that the pair of bodies are in the same physical system. Orbital stability provides upper limits for the masses of the transiting companions that are in the planetary regime. This paper describes a non-parametric technique for quantifying the statistical significance of TTVs based on the correlation of two TTV data sets. We apply this method to an analysis of the transit timing variations of two stars with multiple transiting planet candidates identified by Kepler. We confirm four transiting planets in two multiple planet systems based on their TTVs and the constraints imposed by dynamical stability. An additional three candidates in these same systems are not confirmed as planets, but are likely to be validated as real planets once further observations and analyses are possible. If all were confirmed, these systems would be near 4:6:...
Parametric Analysis of A Submerged Cylindrical Shell Subjected to Shock Waves
LI Shang-ming; FAN Sau-Cheong
2007-01-01
In this study,an FEM-SBFEM (scaled boundary finite element method) coupling procedure proposed by Fan et al.(2005) is adopted to obtain the dynamic responses of a submerged cylindrical shell subjected to plane step or exponential acoustic shock waves.The coupling procedure can readily be applied to three-dimensional problem,however for clarity,the problems to be presented are limited to two-dimensional domain.In the analyses,the cylindrical shell is modeled by simple beam elements (using FEM),while the effects of the surrounding infinite fluid is modeled by the SBFEM.In it,no free surface and seabed are involved.Compared with Fan and his co-authors' works,the FEM-SBFEM coupling procedure is further verified to be feasible for shock waves by benchmark examples.Furthermore,parametric studies are performed and presented to gain insight into effects of the geometric and material properties of the cylindrical shell on its dynamic responses.
Cabras, Stefano; Castellanos, Maria Eugenia; Perra, Silvia
2014-11-20
This paper considers the problem of selecting a set of regressors when the response variable is distributed according to a specified parametric model and observations are censored. Under a Bayesian perspective, the most widely used tools are Bayes factors (BFs), which are undefined when improper priors are used. In order to overcome this issue, fractional (FBF) and intrinsic (IBF) BFs have become common tools for model selection. Both depend on the size, Nt , of a minimal training sample (MTS), while the IBF also depends on the specific MTS used. In the case of regression with censored data, the definition of an MTS is problematic because only uncensored data allow to turn the improper prior into a proper posterior and also because full exploration of the space of the MTSs, which includes also censored observations, is needed to avoid bias in model selection. To address this concern, a sequential MTS was proposed, but it has the drawback of an increase of the number of possible MTSs as Nt becomes random. For this reason, we explore the behaviour of the FBF, contextualizing its definition to censored data. We show that these are consistent, providing also the corresponding fractional prior. Finally, a large simulation study and an application to real data are used to compare IBF, FBF and the well-known Bayesian information criterion.
Shailendra Singh Chauhan
2016-09-01
Full Text Available A dew point evaporative-vapour compression based combined air conditioning system for providing good human comfort conditions at a low cost has been proposed in this paper. The proposed system has been parametrically analysed for a wide range of ambient temperatures and specific humidity under some reasonable assumptions. The proposed system has also been compared from the conventional vapour compression air conditioner on the basis of cooling load on the cooling coil working on 100% fresh air assumption. The saving of cooling load on the coil was found to be maximum with a value of 60.93% at 46 °C and 6 g/kg specific humidity, while it was negative for very high humidity of ambient air, which indicates that proposed system is applicable for dry and moderate humid conditions but not for very humid conditions. The system is working well with an average net monthly power saving of 192.31 kW h for hot and dry conditions and 124.38 kW h for hot and moderate humid conditions. Therefore it could be a better alternative for dry and moderate humid climate with a payback period of 7.2 years.
Luo, Sheng
2014-02-20
Impairment caused by Parkinson's disease (PD) is multidimensional (e.g., sensoria, functions, and cognition) and progressive. Its multidimensional nature precludes a single outcome to measure disease progression. Clinical trials of PD use multiple categorical and continuous longitudinal outcomes to assess the treatment effects on overall improvement. A terminal event such as death or dropout can stop the follow-up process. Moreover, the time to the terminal event may be dependent on the multivariate longitudinal measurements. In this article, we consider a joint random-effects model for the correlated outcomes. A multilevel item response theory model is used for the multivariate longitudinal outcomes and a parametric accelerated failure time model is used for the failure time because of the violation of proportional hazard assumption. These two models are linked via random effects. The Bayesian inference via MCMC is implemented in 'BUGS' language. Our proposed method is evaluated by a simulation study and is applied to DATATOP study, a motivating clinical trial to determine if deprenyl slows the progression of PD. © 2013 The authors. Statistics in Medicine published by John Wiley & Sons, Ltd.
Basic parametric analysis for a multi-state model in hospital epidemiology.
von Cube, Maja; Schumacher, Martin; Wolkewitz, Martin
2017-07-20
The extended illness-death model is a useful tool to study the risks and consequences of hospital-acquired infections (HAIs). The statistical quantities of interest are the transition-specific hazard rates and the transition probabilities as well as attributable mortality (AM) and the population-attributable fraction (PAF). In the most general case calculation of these expressions is mathematically complex. When assuming time-constant hazards calculation of the quantities of interest is facilitated. In this situation the transition probabilities can be expressed in closed mathematical forms. The estimators for AM and PAF can be easily derived from these forms. In this paper, we show how to explicitly calculate all the transition probabilities of an extended-illness model with constant hazards. Using a parametric model to estimate the time-constant transition specific hazard rates of a data example, the transition probabilities, AM and PAF can be directly calculated. With a publicly available data example, we show how the approach provides first insights into principle time-dynamics and data structure. Assuming constant hazards facilitates the understanding of multi-state processes. Even in a non-constant hazards setting, the approach is a helpful first step for a comprehensive investigation of complex data.
Kim, Euy Neyng; Sohn, Hyung Sun; Kim, Sung Hoon; Chung, Soo Kyo; Yang, Dong Won [College of Medicine, The Catholic Univ. of Korea, Seoul (Korea, Republic of)
2001-07-01
This study investigated alterations in regional cerebral blood flow (rCBF) in patients with posttraumatic stress disorder (PTSD) using statistical parametric mapping (SPM99). Noninvasive rCBF measurements using {sup 99m}Tc-ethyl cysteinate dimer (ECD) SPECT were performed on 23 patients with PTSD and 21 age matched normal controls without re-exposure to accident-related stimuli. The relative rCBF maps in patients with PTSD and controls were compared. In patients with PTSD, significant increased rCBF was found along the limbic system in the brain. There were a few foci of decreased rCBF in the superior frontal gyrus, parietal and temporal region. PTSD is associated with increased rCBF in limbic areas compared with age-matched normal controls. These findings implicate regions of the limbic brain, which may mediate the response to aversive stimuli in healthy individuals, play on important role in patients suffering from PTSD and suggest that ongoing hyperfunction of 'overlearned survival response' or flashbacks response in these regions after painful, life threatening, or horrifying events without re-exposure to same traumatic stimulus.
Silveri, M.; Zalys-Geller, E.; Hatridge, M.; Leghtas, Z.; Devoret, M. H.; Girvin, S. M.
2015-03-01
In the remote entanglement process, two distant stationary qubits are entangled with separate flying qubits and the which-path information is erased from the flying qubits by interference effects. As a result, an observer cannot tell from which of the two sources a signal came and the probabilistic measurement process generates perfect heralded entanglement between the two signal sources. Notably, the two stationary qubits are spatially separated and there is no direct interaction between them. We study two transmon qubits in superconducting cavities connected to a Josephson Parametric Converter (JPC). The qubit information is encoded in the traveling wave leaking out from each cavity. Remarkably, the quantum-limited phase-preserving amplification of two traveling waves provided by the JPC can work as a which-path information eraser. By using a stochastic master approach we demonstrate the probabilistic production of heralded entangled states and that unequal qubit-cavity pairs can be made indistinguishable by simple engineering of driving fields. Additionally, we will derive measurement rates, measurement optimization strategies and discuss the effects of finite amplification gain, cavity losses, and qubit relaxations and dephasing. Work supported by IARPA, ARO and NSF.
Economic theory and econometric practice
Sauer, Johannes
Parametric efficiency analysis is one of the most investigated areas in applied pro-duction economics. Nevertheless, the vast majority of empirical studies are not ac-companied by a thorough theoretical interpretation of the underlying functional form and the obtained estimates. The robustness...
Techno-economic analysis for a sugarcane biorefinery: Colombian case.
Moncada, Jonathan; El-Halwagi, Mahmoud M; Cardona, Carlos A
2013-05-01
In this paper a techno-economic analysis for a sugarcane biorefinery is presented for the Colombian case. It is shown two scenarios for different conversion pathways as function of feedstock distribution and technologies for sugar, fuel ethanol, PHB, anthocyanins and electricity production. These scenarios are compared with the Colombian base case which simultaneously produce sugar, fuel ethanol and electricity. A simulation procedure was used in order to evaluate biorefinery schemes for all the scenarios, using Aspen Plus software, that include productivity analysis, energy calculations and economic evaluation for each process configuration. The results showed that the configuration with the best economic, environmental and social performance is the one that considers fuel ethanol and PHB production from combined cane bagasse and molasses. This result served as the basis to draw recommendations on technological and economic feasibility as well as social aspects for the implementation of such type of biorefinery in Colombia. Copyright © 2012 Elsevier Ltd. All rights reserved.
ECONOMIC ANALYSIS OF MICROALGAE BASED BIOGAS COGENERATION SYSTEM
Ebru Akkaya
2016-12-01
Full Text Available In this study, economic analysis of the cogeneration system using the biogas produced in the anaerobic reactor feed by microalgae has been performed. This system consists of the following main parts; pool open channel for growing microalgae, pre-concentration section, high-rate anaerobic reactor for producing biogas and cogeneration section that biogas is converted into electricity and heat energy. An economic model to investigate the viability of such a system has been given. The present worth of the net profit, the annual equivalent, rate of return, pay-back time are considered as an economic evaluation criteria. In addition, a sensitivity analysis has been performed in order to show the effects of technical and economic parameters on the system economy.
Socio-economic analysis in the transport sector
This compendium is intended to be a tool for students in conducting socio-economic appraisals in the transport sector following the recommendations made by the Danish Manual for Socio-economic Appraisal (DMT, 2003). The appraisal process is in this compendium outlined as a step-by-step process...... which is adaptable to all types of infrastructure related problems, and which can be used for decision support on both the administrative as well as the political level. In the administrative decision process the socio-economic analysis provides a foundation for a systematic examination of which project...
Generic modelling framework for economic analysis of battery systems
You, Shi; Rasmussen, Claus Nygaard
2011-01-01
Deregulated electricity markets provide opportunities for Battery Systems (BS) to participate in energy arbitrage and ancillary services (regulation, operating reserves, contingency reserves, voltage regulation, power quality etc.). To evaluate the economic viability of BS with different business...... for battery cycle life estimation, since the cycle life plays a central role in the economic analysis of BS. To illustrate the modelling framework, a case study using a Sodium Sulfur Battery (NAS) system with 5-minute regulating service is performed. The economic performances of two dispatch scenarios, a so...
Economic Analysis in Series-Distillation Desalination
Mirna Rahmah Lubis
2010-06-01
Full Text Available The ability to produce potable water economically is the primary purpose of seawater desalination research. Reverse osmosis (RO and multi-stage flash (MSF cost more than potable water produced from fresh water resources. Therefore, this research investigates a high-efficiency mechanical vapor-compression distillation system that employs an improved water flow arrangement. The incoming salt concentration was 0.15% salt for brackish water and 3.5% salt for seawater, whereas the outgoing salt concentration was 1.5% and 7%, respectively. Distillation was performed at 439 K and 722 kPa for both brackish water feed and seawater feed. Water costs of the various conditions were calculated for brackish water and seawater feeds using optimum conditions considered as 25 and 20 stages, respectively. For brackish water at a temperature difference of 0.96 K, the energy requirement is 2.0 kWh/m3. At this condition, the estimated water cost is $0.39/m3 achieved with 10,000,000 gal/day distillate, 30-year bond, 5% interest rate, and $0.05/kWh electricity. For seawater at a temperature difference of 0.44 K, the energy requirement is 3.97 kWh/m3 and the estimated water cost is $0.61/m3. Greater efficiency of the vapor compression system is achieved by connecting multiple evaporators in series, rather than the traditional parallel arrangement. The efficiency results from the gradual increase of salinity in each stage of the series arrangement in comparison to parallel. Calculations using various temperature differences between boiling brine and condensing steam show the series arrangement has the greatest improvement at lower temperature differences. Keywords: desalination, dropwise condensation, mechanical-vapor compression
Analysis of economic impacts of the Hangzhou－Ningbo expressway
刘南
2003-01-01
This paper presents an analysis of the effects of the Hangzhou-Ningbo Expressway (in Zhejiang Province of the People' s Republic of China) on the region' s economic development. An econometric model shows the estimated contributions attributable to the expressway have increased year by year. And statistical data indicate that the Hangzhou-Ningbo Expressway has promoted to some extent the region's economic devel-opment in various aspects.
Analysis of economic impacts of the Hangzhou-Ningbo expressway
刘南
2003-01-01
This paper presents an analysis of the effects of the Hangzhou-Ningbo Expressway (in Zhejiang Province of the People's Republic of China) on the region's economic development. An econometric model shows the estimated contributions attributable to the expressway have increased year by year. And statistical data indicate that the Hangzhou-Ningbo Expressway has promoted to some extent the region's economic development in various aspects.
Financial liberalization and economic growth : A meta-analysis
Bumann, Silke; Hermes, Niels; Lensink, Robert
2013-01-01
This study provides a systematic analysis of the empirical literature on the relationship between financial liberalization and economic growth by conducting a meta-analysis, based on 441 t-statistics reported in 60 empirical studies. We focus on explaining the heterogeneity of results in our sample
Compendium of Operations Research and Economic Analysis Studies
1989-09-01
applications. 86-23. Economic Analysis Railway Operacions at the Defense Construction Supply Center (DCSC) (June 1986) The objective of this analysis was...from four DSCs and their totals. First, with the Statistical Package for the Social Sciences (SPSS), correlation matrices were developed to determine
Non-parametric versus parametric methods in environmental sciences
Muhammad Riaz
2016-01-01
Full Text Available This current report intends to highlight the importance of considering background assumptions required for the analysis of real datasets in different disciplines. We will provide comparative discussion of parametric methods (that depends on distributional assumptions (like normality relative to non-parametric methods (that are free from many distributional assumptions. We have chosen a real dataset from environmental sciences (one of the application areas. The findings may be extended to the other disciplines following the same spirit.
ECONOMIC ANALYSIS OF SUGAR BEAT PRODUCTION
Jozo Kanisek
2008-07-01
Full Text Available Croatian quota of 180.000 tones of sugar beet per year is approved for export to EU countries. For that amount of sugar it is necessary to produce about 30.000 ha of sugar beet. Sugar beet production requires deep and fertile soils, and crop rotation requirement is at least five year. Therefore, Slavonia and Baranya don’̉t have enough areas under sugar beet. An additional problem is so called “sugar reform” applied by EU aiming to decrease price of sugar produced from sugar beet root and its equalization to sugar cane price. Consequences of this movement will be decreasing of sugar beet domestic redemption price. In that way, sugar beet production will be increased only within producers with relative good soils, suitable mechanization and knowledge. The research shows the results of production sugar beet on family farm of Vukovar – Srijem County on 21 ha. Technical and technological process includes 35 working operations spending 26.9 hours/ha of mechanization and 65.8 hours/ha of labor. Total costs amount to 15.947,05 kn/ha. Producers paid for seed 1.405,44 kn/ha or 9.4% and for 1.100 kg of fertilizers 2.217,50 kn/ha or 14.8% of total costs. Significant values are also costs for plant protection (9 l/ha being 15.2% of total cost. Mechanization fee is 5.070,96 kn/ha with share of 33.9% what indicates that this is the most important element in total costs, partly as a consequence of increased distance between arable land and farm. Total value of production is 20.759,59 kn/ha, with yields of the root (70.30 t/ha and government subsidies. Amount of 1.068,82 kg root is produced per hour of human labour; while 0.94 hour of human labour is necessary per tone of products. Economic coefficient is 1.36. Profit of 36.67 kn is achieved on 100 invested kunas in production process.
Uncertainty analysis of geothermal energy economics
Sener, Adil Caner
This dissertation research endeavors to explore geothermal energy economics by assessing and quantifying the uncertainties associated with the nature of geothermal energy and energy investments overall. The study introduces a stochastic geothermal cost model and a valuation approach for different geothermal power plant development scenarios. The Monte Carlo simulation technique is employed to obtain probability distributions of geothermal energy development costs and project net present values. In the study a stochastic cost model with incorporated dependence structure is defined and compared with the model where random variables are modeled as independent inputs. One of the goals of the study is to attempt to shed light on the long-standing modeling problem of dependence modeling between random input variables. The dependence between random input variables will be modeled by employing the method of copulas. The study focuses on four main types of geothermal power generation technologies and introduces a stochastic levelized cost model for each technology. Moreover, we also compare the levelized costs of natural gas combined cycle and coal-fired power plants with geothermal power plants. The input data used in the model relies on the cost data recently reported by government agencies and non-profit organizations, such as the Department of Energy, National Laboratories, California Energy Commission and Geothermal Energy Association. The second part of the study introduces the stochastic discounted cash flow valuation model for the geothermal technologies analyzed in the first phase. In this phase of the study, the Integrated Planning Model (IPM) software was used to forecast the revenue streams of geothermal assets under different price and regulation scenarios. These results are then combined to create a stochastic revenue forecast of the power plants. The uncertainties in gas prices and environmental regulations will be modeled and their potential impacts will be
Jeon, Byong Guk; Kim, Do Yun; Shin, Chang Wook; NO, Hee Cheon, E-mail: hcno@kaist.ac.kr
2015-11-15
Highlights: • Geometric effects of HXs on external condensation are experimentally observed. • Lower tube angle has higher heat transfer coefficients over vertical tubes by 15–30%. • 2.68 cmD tube has higher heat transfer coefficients over 4.91 cmD tube roughly by 10–20%. • CFD approach is validated against our experiments with good accuracy (error ∼7%). - Abstract: To ensure safe operation of nuclear power plants even in the case of a prolonged station blackout, advanced reactors adopt passive systems that can operate without electricity supply. In Korea, a passive auxiliary feedwater system was successfully validated, and a passive containment cooling system (PCCS) has recently attracted attention. To investigate the thermal performance of PCCSs, we perform various experiments with external heat exchangers, which condense steam externally, for PCCSs. Through experiments, we construct a database for the lower air mass fraction and perform a parametric study on the tube inclination and diameter. The operating ranges for the experiments are 0.24–0.38 MPa (pressure), 0.06–0.4 (air mass fraction), and 0–90° (tube inclination). A lower tube inclination and smaller tube diameter are found to yield higher heat-transfer coefficients, by approximately 20%. In the prediction of condensation heat-transfer coefficients, experimental correlations and the heat–mass transfer analogy have limitations in both accuracy and applicability. A computational-fluid-dynamics approach is used with the aid of user-defined functions to calculate the heat-transfer coefficients. The resulting predictions exhibit an average error of 7% when the air mass fraction is higher than 0.2.
Dynamic modelling and stability parametric analysis of a flexible spacecraft with fuel slosh
Gasbarri, Paolo; Sabatini, Marco; Pisculli, Andrea
2016-10-01
Modern spacecraft often contain large quantities of liquid fuel to execute station keeping and attitude manoeuvres for space missions. In general the combined liquid-structure system is very difficult to model, and the analyses are based on some assumed simplifications. A realistic representation of the liquid dynamics inside closed containers can be approximated by an equivalent mechanical system. This technique can be considered a very useful mathematical tool for solving the complete dynamics problem of a space-system containing liquid. Thus they are particularly useful when designing a control system or to study the stability margins of the coupled dynamics. The commonly used equivalent mechanical models are the mass-spring models and the pendulum models. As far as the spacecraft modelling is concerned they are usually considered rigid; i.e. no flexible appendages such as solar arrays or antennas are considered when dealing with the interaction of the attitude dynamics with the fuel slosh. In the present work the interactions among the fuel slosh, the attitude dynamics and the flexible appendages of a spacecraft are first studied via a classical multi-body approach. In particular the equations of attitude and orbit motion are first derived for the partially liquid-filled flexible spacecraft undergoing fuel slosh; then several parametric analyses will be performed to study the stability conditions of the system during some assigned manoeuvers. The present study is propaedeutic for the synthesis of advanced attitude and/or station keeping control techniques able to minimize and/or reduce an undesired excitation of the satellite flexible appendages and of the fuel sloshing mass.
Palley, Paul D; Parcero, Miriam E
2016-10-01
A review of literature in the calendar year 2015 dedicated to environmental policies and sustainable development, and economic policies. This review is divided into these sections: sustainable development, irrigation, ecosystems and water management, climate change and disaster risk management, economic growth, water supply policies, water consumption, water price regulation, and water price valuation.
Insurer’s activity as object of economic analysis
O.O. Poplavskiy
2015-12-01
Full Text Available The article is devoted to the substantiation of theoretical fundamentals of insurer’s analysis and peculiarities of its implementation. The attention has been focused on the important role of economic analysis in economic science which is confirmed by its active use in research and practical orientation. The author summarizes the classification and principles of insurer’s activity analysis, supplements it with specific principles for insurer’s environment, publicity and risk-orientation which enable increasingly to take into account the peculiarities of insurance relations. The paper pays attention to the specification of elements of analysis and its key directions including the analysis of insurer’s financing, the analysis of insurance operations and the analysis of investment activity which will allow the effective functioning of risk management system.
ECONOMIC ANALYSIS OF COWPEA PRODUCTION IN NIGERIA
Abba M. Wakili
2013-01-01
Full Text Available This study employs a stochastic frontier production function analysis to examine the productivity and technical efficiency of cowpea production in Adamawa State, Nigeria and also to identify the factors affecting the technical inefficiency using farm level survey data collected from 150 cowpea farmers selected using multi stage sampling technique. Findings from the analysis show that cowpea farmers operated on a very small scale and are profitable. The productivity analysis shows that agro chemicals, fertilizer, farm size and labor were all positively and significantly related to the technical efficiency. The return to scale (RTS of 0.9904 shows that cowpea production was in the rational stage of the production surface. The technical efficiency varies from 0.1094 to 0.9568 with a mean technical efficiency of 0.6649, indicating that farmers were operating below the efficiency frontier. Thus, in the short run, there is a scope to increase output by 34%. The inefficiency model revealed that education of the farmers; extension visits and access to credit are the main factors that affect technical efficiency of the farmers.
Lin, Sheng-Hsuan; Young, Jessica; Logan, Roger; Tchetgen Tchetgen, Eric J; VanderWeele, Tyler J
2017-03-01
The assessment of direct and indirect effects with time-varying mediators and confounders is a common but challenging problem, and standard mediation analysis approaches are generally not applicable in this context. The mediational g-formula was recently proposed to address this problem, paired with a semiparametric estimation approach to evaluate longitudinal mediation effects empirically. In this article, we develop a parametric estimation approach to the mediational g-formula, including a feasible algorithm implemented in a freely available SAS macro. In the Framingham Heart Study data, we apply this method to estimate the interventional analogues of natural direct and indirect effects of smoking behaviors sustained over a 10-year period on blood pressure when considering weight change as a time-varying mediator. Compared with not smoking, smoking 20 cigarettes per day for 10 years was estimated to increase blood pressure by 1.2 mm Hg (95% CI: -0.7, 2.7). The direct effect was estimated to increase blood pressure by 1.5 mm Hg (95% CI: -0.3, 2.9), and the indirect effect was -0.3 mm Hg (95% CI: -0.5, -0.1), which is negative because smoking which is associated with lower weight is associated in turn with lower blood pressure. These results provide evidence that weight change in fact partially conceals the detrimental effects of cigarette smoking on blood pressure. Our study represents, to our knowledge, the first application of the parametric mediational g-formula in an epidemiologic cohort study (see video abstract at, http://links.lww.com/EDE/B159.).
Economic analysis of nuclear power generation
Song, Ki Dong; Choi, Young Myung; Kim, Hwa Sup; Lee, Man Ki; Moon, Kee Hwan; Kim, Seung Su; Chae, Kyu Nam
1996-12-01
The major contents in this study are as follows : (1) Efforts are made to examine the role of nuclear energy considering environmental regulation. An econometric model for energy demand and supply including carbon tax imposition is established. (2) Analysis for the learning effect of nuclear power plant operation is performed. The study is focused to measure the effect of technology homogeneity on the operation performance. (3) A preliminary capital cost of the KALIMER is estimated by using cost computer program, which is developed in this study. (author). 36 refs.,46 tabs., 15 figs.
Economic Analysis of Edirne Village Development Cooperatives Union
I. H. Inan
2007-09-01
Full Text Available In this research, the management activities of Edirne Village Development Cooperatives’ Union were evaluated and revenues and costs required for economic analysis were calculated and profit and loss income statement was estimated for the years 2002, 2003 and 2004. Data for Gross Margin Analysis were supplied from income and loss statement and thus Table comprising gross margins was formed covering all the activities of The Union.Gross Margin Analysis was made in order to determine economic performance of The Union by means of the data obtained from economic results of the operational activities in the years 2002, 2003 and 2004. The Union should develop its present activities so as to survive in the future. Therefore, suggestions were made for the expansion of the profitable activities and to improve nonprofitable activities in order to make them profitable.
Li Fei; Zhou Chenghu
2009-01-01
Popular regional inequality indexes such as variation coefficient and Gini coefficient can only reveal overall inequal-it),, and have limited ability in revealing spatial dependence or spatial agglomeration.Recently some methods of exploratory spatial data analysis such as spatial autocorrelation have provid-ed effective tools to analyze spatial agglomeration and cluster, which can reveal the pattern of regional inequality.This article attempts to use spatial autocorrelation at county level to get refined spatial pattern of regional disparity in Chinese northeast economic region over 2000-2006 (2001 absent).The result in-dicates that the basic trend of regional economy is an increasing concentration of growth among counties in northeast economic region, and there are two geographical clusters of poorer coun-ties including the counties in western Liaoning Province and adjacent counties in Inner Mongolia, poorer counties of Heihe, Qiqihar and Suihua in Heilongjiang Province.This article also reveals that we can use the methods of exploratory spatial data analysis as the supplementary analysis methods in regional eco-nomic analysis.
Granger Causality, Exogeneity, Cointegration, and Economic Policy Analysis
Davide Pettenuzzo; Halbert White
2010-01-01
Policy analysis has long been a main interest of Clive Granger's. Here, we present a framework for economic policy analysis that provides a novel integration of several fundamental concepts at the heart of Granger's contributions to time-series analysis. We work with a dynamic structural system analyzed by White and Lu (2010) with well-defined causal meaning; under suitable conditional exogeneity restrictions, Granger causality coincides with this structural notion. The system contains target...
林作铨; 李未
1995-01-01
Parametric logic is introduced. The language, semantics and axiom system of parametric logic are defined. Completeness theorem of parametric logic is provided. Parametric logic has formal ability powerful enough to capture a wide class of logic as its special cases, and therefore can be viewed as a uniform basis for modern logics.
The Analysis of International Migration towards Economic Growth
Ferdous Alam
2011-01-01
Full Text Available Problem statement: This study discusses the analysis of international migration towards economic growth in Bangladesh. International migration refers to the cross-border movement of people from a mother country to a location outside that mother country, with the purpose of taking up higher income employment, better living conditions, higher education get access to civic amenities and conducting a daily existence there for an extended period of time. The exports of labor, human capital, play a major role to minimize the poverty level in Bangladesh. In the last four decades, Bangladesh exports the huge number of labors abroad for economic growth through remittances. Remittances affect poverty eradication most directly by increasing the income of households which have a family member working abroad. Because income from remittances is usually larger than that which could have been earned by migrants they stayed at home. Approach: The aim of this study is to highlight the policy implications for the maximization of international migration and the analysis of economic growth in Bangladesh. The data for analysis is perceived from the secondary sources. The significant manipulations for acquired data are migration of employment and remittances for economic growth in Bangladesh. Results: Migration contributed for the development of macro and micro level in Bangladesh. Conclusion: There would be potential benefits to world's poor if more international attention were focused on integrating migration policy to within the larger global dialogue economic development and poverty reduction. Strong institutions and good policies will enhance the benefits of human capital migration for Bangladesh.
P. Simons
2010-07-01
Full Text Available Modern society is characterised not only by a fascination with scientific technology as a means of solving all problems, especially those that stand in the way of material progress (technicism, but also by an obsessive interest in everything that has to do with money (economism or mammonism. The article discusses the relationship between technicism and economism, on the basis of their relationship to utilitarian thinking: the quest for the greatest happiness for the greatest number of people. Recent major studies of neo-liberalism (seen as an intensification of utilitarianism by Laval and Dardot are used as reference to the development of utilitarianism. It is suggested that the western view of the world, as expressed in economism and technicism, with a utilitarian ethics, features three absolutisations: those of theoretical thinking, technology and economics. In a second part, the article draws on the framework of reformational philosophy to suggest an approach that, in principle, is not marred by such absolutisations.
Jacobus FA Jansen; Yonggang Lu; Gaorav Gupta; Nancy Y Lee; Hilda E Stambuk; Yousef Mazaheri; Joseph O Deasy; Amita Shukla-Dave
2016-01-01
AIM: To investigate the merits of texture analysis on parametric maps derived from pharmacokinetic modeling with dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI) as imaging biomarkers for the prediction of treatment response in patients with head and neck squamous cell carcinoma(HNSCC). METHODS: In this retrospective study,19 HNSCC patients underwent pre- and intra-treatment DCEMRI scans at a 1.5T MRI scanner. All patients had chemo-radiation treatment. Pharmacokinetic modeling was performed on the acquired DCE-MRI images,generating maps of volume transfer rate(Ktrans) and volume fraction of the extravascular extracellular space(ve). Image texture analysis was then employed on maps of Ktrans and ve,generating two texture measures: Energy(E) and homogeneity.RESULTS: No significant changes were found for the mean and standard deviation for Ktrans and ve between pre- and intra-treatment(P > 0.09). Texture analysis revealed that the imaging biomarker E of ve was significantly higher in intra-treatment scans,relative to pretreatment scans(P < 0.04). CONCLUSION: Chemo-radiation treatment in HNSCC significantly reduces the heterogeneity of tumors.
Longo, Dario Livio; Dastrù, Walter; Consolino, Lorena; Espak, Miklos; Arigoni, Maddalena; Cavallo, Federica; Aime, Silvio
2015-07-01
The objective of this study was to compare a clustering approach to conventional analysis methods for assessing changes in pharmacokinetic parameters obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) during antiangiogenic treatment in a breast cancer model. BALB/c mice bearing established transplantable her2+ tumors were treated with a DNA-based antiangiogenic vaccine or with an empty plasmid (untreated group). DCE-MRI was carried out by administering a dose of 0.05 mmol/kg of Gadocoletic acid trisodium salt, a Gd-based blood pool contrast agent (CA) at 1T. Changes in pharmacokinetic estimates (K(trans) and vp) in a nine-day interval were compared between treated and untreated groups on a voxel-by-voxel analysis. The tumor response to therapy was assessed by a clustering approach and compared with conventional summary statistics, with sub-regions analysis and with histogram analysis. Both the K(trans) and vp estimates, following blood-pool CA injection, showed marked and spatial heterogeneous changes with antiangiogenic treatment. Averaged values for the whole tumor region, as well as from the rim/core sub-regions analysis were unable to assess the antiangiogenic response. Histogram analysis resulted in significant changes only in the vp estimates (pclustering approach depicted marked changes in both the K(trans) and vp estimates, with significant spatial heterogeneity in vp maps in response to treatment (pclustered in three or four sub-regions. This study demonstrated the value of cluster analysis applied to pharmacokinetic DCE-MRI parametric maps for assessing tumor response to antiangiogenic therapy. Copyright © 2015 Elsevier Inc. All rights reserved.
Saunders, Marnie M; Schwentker, Edwards P; Kay, David B; Bennett, Gordon; Jacobs, Christopher R; Verstraete, Mary C; Njus, Glen O
2003-02-01
In this study, we developed an approach for prosthetic foot design incorporating motion analysis, mechanical testing and computer analysis. Using computer modeling and finite element analysis, a three-dimensional (3D), numerical foot model of the solid ankle cushioned heel (SACH) foot was constructed and analyzed based upon loading conditions obtained from the gait analysis of an amputee and validated experimentally using mechanical testing. The model was then used to address effects of viscoelastic heel performance numerically. This is just one example of the type of parametric analysis and design enabled by this approach. More importantly, by incorporating the unique gait characteristics of the amputee, these parametric analyses may lead to prosthetic feet more appropriately representing a particular user's needs, comfort and activity level.
Development of economic consequence methodology for process risk analysis.
Zadakbar, Omid; Khan, Faisal; Imtiaz, Syed
2015-04-01
A comprehensive methodology for economic consequence analysis with appropriate models for risk analysis of process systems is proposed. This methodology uses loss functions to relate process deviations in a given scenario to economic losses. It consists of four steps: definition of a scenario, identification of losses, quantification of losses, and integration of losses. In this methodology, the process deviations that contribute to a given accident scenario are identified and mapped to assess potential consequences. Losses are assessed with an appropriate loss function (revised Taguchi, modified inverted normal) for each type of loss. The total loss is quantified by integrating different loss functions. The proposed methodology has been examined on two industrial case studies. Implementation of this new economic consequence methodology in quantitative risk assessment will provide better understanding and quantification of risk. This will improve design, decision making, and risk management strategies.
Economic analysis of needs the training of human resources
Buha Vesna V.
2015-01-01
Full Text Available The issue of lifelong learning is linked to the voluntary and motivated to seek knowledge from personal or organizational reasons. The fact that an individual learns driven by personal career goals, desire for self improvement and motivation refers to the importance of lifelong learning for the entire social inclusion, sustainability, and competitiveness and employment. The common denominator of all the problems of investment in education is an issue of increasing allocations to the social issues, the pace that in this area manifest needs. Relative resource constraints requires that the investment in professional development taking place in accordance with the expected contribution to the creation of new value, increase productivity and social development of society as a whole. Respecting this request, in general, should provide maximum socio-economic effects with minimal investment. Precise measurement is achieved by tools of economic analysis: cost & benefit, economic sensitivity analysis, risk assessment.
How is an analysis of the enterprise economic environment done?
Carlos Parodi Trece
2015-09-01
Full Text Available The proper interpretation of the evolution of the economy is a useful tool to improve corporate decision-making. The aim of this paper is to explain, with examples applied to the current economic reality, how an analysis of the economic environment is made and how it serves for the corporate strategic planning. To do this, after the explanation of the overall conceptual framework; gross domestic product, inflation and external deficit as indicators, key in the "language" used by analysts are defined. These are economic indicators, related, that depend on domestic policy and exogenous shocks, defined as events that are out of the hands of economic policy designers, but that influence the three variables, such as the international financial crisis. Following it, the formalization through macroeconomic identities is made, in order to finally explain "how is the economy" through them; and the relationship between the internal to the external economic environment. Bringing the economy to business should be a priority in an increasingly integrated context, characterized by the fact that the positive and the negative of what happens in the world economy is transmitted through various channels, to companies located in different countries. Hence, companies should broaden their vision, as the economic environment does not only include what happens within the country, but the future of the world economy.
The Role of Temperature in Economic Exchange - An Empirical Analysis
Dimitrijević Bojan
2015-09-01
Full Text Available As a synthesis of economics and physics and an attempt to apply the methods and models of statistical physics to economics, econophysics is presently a new, growing and very dynamic branch of modern science. Therefore, the subject of this paper is to analyse the relationship and interdependence between thermodynamics and economics, and it aims to show similarities, analogies and correspondence between the main categories, methods and models of thermodynamics on one hand, and economics on the other. The paper analyses the relation between economics and thermodynamics, as well as the probability distribution in the kinetic theory of gases corresponding to money, income and wealth distribution, connects entropy with utility and the principle of operation of the thermal engine with economic exchange. The final part of the paper empirically analyzes temperature differences in the exchange between Serbia and the selected EU countries. There are differences in temperature between Serbia and the group of selected countries. Results of the empirical analysis shows that the exchange between countries is based on principles of thermodynamics and that developed countries generate more profits and benefits from exchange.
Economic Analysis of Fresh Fruit and Vegetable Export Marketing ...
Economic Analysis of Fresh Fruit and Vegetable Export Marketing Channels by Small-Scale Farmers in Tanzania: The Case of Meru District. ... Abstract. The study was carried out in two divisions of Meru District in Arusha region in Tanzania to ...
Economic analysis of wildlife conservation in crop farming
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
Economic Analysis. Volume V. Course Segments 65-79.
Sterling Inst., Washington, DC. Educational Technology Center.
The fifth volume of the multimedia, individualized course in economic analysis produced for the United States Naval Academy covers segments 65-79 of the course. Included in the volume are discussions of monopoly markets, monopolistic competition, oligopoly markets, and the theory of factor demand and supply. Other segments of the course, the…
Justifications and Excuses in the Economic Analysis of Tort Law
L.T. Visscher (Louis)
2008-01-01
textabstractAbstract: In the economic analysis of tort law, scant attention is paid to justifications and excuses. An injurer invoking a justification argues that he did not act wrongfully. Excuses imply that the injurer acted wrongfully, but that his act cannot be imputed to him. If torts are descr
Economic analysis of wildlife conservation in crop farming
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
Orrell, J L; Cooper, M W; Kephart, J D; Seifert, C E; Orrell, John L.; Aalseth, Craig E.; Cooper, Matthew W.; Kephart, Jeremy D.; Seifert, Carolyn E.
2007-01-01
Pulse shape analysis of germanium gamma-ray spectrometer signals can yield information on the radial position of individual gamma-ray interactions within the germanium crystal. A parametric pulse shape analysis based on calculation of moments of the reconstructed current pulses from a closed-ended coaxial germanium detector is used to preferentially select single-site gamma-ray interactions. The double escape peak events from the 2614.5 keV gamma-ray of 208-Tl are used as a training set to optimize the single-site event selection region in the pulse shape parameter space. A collimated source of 320.1 keV gamma-rays from 51-Cr is used to scan different radial positions of the same semi-coaxial germanium detector. The previously trained single-site selection region is used to preferentially identify the single-site photoelectric absorption events from the 320.1 keV full-energy peak. From the identified events, a comparison of the pulse shape parameter space distributions between different scan positions allows ...
Lausch, A.; Jensen, N. K. G.; Chen, J.; Lee, T. Y.; Lock, M.; Wong, E.
2014-03-01
Purpose: To investigate the effects of registration error (RE) on parametric response map (PRM) analysis of pre and post-radiotherapy (RT) functional images. Methods: Arterial blood flow maps (ABF) were generated from the CT-perfusion scans of 5 patients with hepatocellular carcinoma. ABF values within each patient map were modified to produce seven new ABF maps simulating 7 distinct post-RT functional change scenarios. Ground truth PRMs were generated for each patient by comparing the simulated and original ABF maps. Each simulated ABF map was then deformed by different magnitudes of realistic respiratory motion in order to simulate RE. PRMs were generated for each of the deformed maps and then compared to the ground truth PRMs to produce estimates of RE-induced misclassification. Main findings: The percentage of voxels misclassified as decreasing, no change, and increasing, increased with RE For all patients, increasing RE was observed to increase the number of high post-RT ABF voxels associated with low pre-RT ABF voxels and vice versa. 3 mm of average tumour RE resulted in 18-45% tumour voxel misclassification rates. Conclusions: RE induced misclassification posed challenges for PRM analysis in the liver where registration accuracy tends to be lower. Quantitative understanding of the sensitivity of the PRM method to registration error is required if PRMs are to be used to guide radiation therapy dose painting techniques.
Ng, C M
2013-10-01
The development of a population PK/PD model, an essential component for model-based drug development, is both time- and labor-intensive. A graphical-processing unit (GPU) computing technology has been proposed and used to accelerate many scientific computations. The objective of this study was to develop a hybrid GPU-CPU implementation of parallelized Monte Carlo parametric expectation maximization (MCPEM) estimation algorithm for population PK data analysis. A hybrid GPU-CPU implementation of the MCPEM algorithm (MCPEMGPU) and identical algorithm that is designed for the single CPU (MCPEMCPU) were developed using MATLAB in a single computer equipped with dual Xeon 6-Core E5690 CPU and a NVIDIA Tesla C2070 GPU parallel computing card that contained 448 stream processors. Two different PK models with rich/sparse sampling design schemes were used to simulate population data in assessing the performance of MCPEMCPU and MCPEMGPU. Results were analyzed by comparing the parameter estimation and model computation times. Speedup factor was used to assess the relative benefit of parallelized MCPEMGPU over MCPEMCPU in shortening model computation time. The MCPEMGPU consistently achieved shorter computation time than the MCPEMCPU and can offer more than 48-fold speedup using a single GPU card. The novel hybrid GPU-CPU implementation of parallelized MCPEM algorithm developed in this study holds a great promise in serving as the core for the next-generation of modeling software for population PK/PD analysis.
Guerreiro, Nelson M.; Butler, Ricky W.; Hagen, George E.; Maddalon, Jeffrey M.; Lewis, Timothy A.
2016-01-01
A loss-of-separation (LOS) is said to occur when two aircraft are spatially too close to one another. A LOS is the fundamental unsafe event to be avoided in air traffic management and conflict detection (CD) is the function that attempts to predict these LOS events. In general, the effectiveness of conflict detection relates to the overall safety and performance of an air traffic management concept. An abstract, parametric analysis was conducted to investigate the impact of surveillance quality, level of intent information, and quality of intent information on conflict detection performance. The data collected in this analysis can be used to estimate the conflict detection performance under alternative future scenarios or alternative allocations of the conflict detection function, based on the quality of the surveillance and intent information under those conditions.Alternatively, this data could also be used to estimate the surveillance and intent information quality required to achieve some desired CD performance as part of the design of a new separation assurance system.
Edgar Vicente Torres-González
2016-08-01
Full Text Available This work presents an energetic, exergoeconomic, environmental, and toxicity analysis of the simple gas turbine M501F3 based on a parametric analysis of energetic (thermal efficiency, fuel and air flow rates, and specific work output, exergoeconomic (exergetic efficiency and exergoeconomic operation costs, environmental (global warming, smog formation, acid rain indexes, and human toxicity indexes, by taking the compressor pressure ratio and the turbine inlet temperature as the operating parameters. The aim of this paper is to provide an integral, systematic, and powerful diagnostic tool to establish possible operation and maintenance actions to improve the gas turbine’s exergoeconomic, environmental, and human toxicity indexes. Despite the continuous changes in the price of natural gas, the compressor, combustion chamber, and turbine always contribute 18.96%, 53.02%, and 28%, respectively, to the gas turbine’s exergoeconomic operation costs. The application of this methodology can be extended to other simple gas turbines using the pressure drops and isentropic efficiencies, among others, as the degradation parameters, as well as to other energetic systems, without loss of generality.
Mokken scale analysis : Between the Guttman scale and parametric item response theory
van Schuur, Wijbrandt H.
2003-01-01
This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis. Mokken scaling is based on principles of Item Response Theory (IRT) that originated in the Guttman scale. I compare the Mokken model with both Classical Test Theory (reliability or factor analysis)
Mokken scale analysis : Between the Guttman scale and parametric item response theory
van Schuur, Wijbrandt H.
2003-01-01
This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis. Mokken scaling is based on principles of Item Response Theory (IRT) that originated in the Guttman scale. I compare the Mokken model with both Classical Test Theory (reliability or factor analysis)
Economic analysis of transmission line engineering based on industrial engineering
Li, Yixuan
2017-05-01
The modern industrial engineering is applied to the technical analysis and cost analysis of power transmission and transformation engineering. It can effectively reduce the cost of investment. First, the power transmission project is economically analyzed. Based on the feasibility study of power transmission and transformation project investment, the proposal on the company system cost management is put forward through the economic analysis of the effect of the system. The cost management system is optimized. Then, through the cost analysis of power transmission and transformation project, the new situation caused by the cost of construction is found. It is of guiding significance to further improve the cost management of power transmission and transformation project. Finally, according to the present situation of current power transmission project cost management, concrete measures to reduce the cost of power transmission project are given from the two aspects of system optimization and technology optimization.
Economic Analysis of Classical Swine Fever Surveillance in the Netherlands.
Guo, X; Claassen, G D H; Oude Lansink, A G J M; Loeffen, W; Saatkamp, H W
2016-06-01
Classical swine fever (CSF) is a highly contagious pig disease that causes economic losses and impaired animal welfare. Improving the surveillance system for CSF can help to ensure early detection of the virus, thereby providing a better initial situation for controlling the disease. Economic analysis is required to compare the benefits of improved surveillance with the costs of implementing a more intensive system. This study presents a comprehensive economic analysis of CSF surveillance in the Netherlands, taking into account the specialized structure of Dutch pig production, differences in virulence of CSF strains and a complete list of possible surveillance activities. The starting point of the analysis is the current Dutch surveillance system (i.e. the default surveillance-setup scenario), including the surveillance activities 'daily clinical observation by the farmer', 'veterinarian inspection after a call', 'routine veterinarian inspection', 'pathology in AHS', 'PCR on tonsil in AHS', 'PCR on grouped animals in CVI' and 'confirmatory PCR by NVWA'. Alternative surveillance-setup scenarios were proposed by adding 'routine serology in slaughterhouses', 'routine serology on sow farms' and 'PCR on rendered animals'. The costs and benefits for applying the alternative surveillance-setup scenarios were evaluated by comparing the annual mitigated economic losses because of intensified CSF surveillance with the annual additional surveillance costs. The results of the cost-effectiveness analysis show that the alternative surveillance-setup scenarios with 'PCR on rendered animals' are effective for the moderately virulent CSF strain, whereas the scenarios with 'routine serology in slaughterhouses' or 'routine serology on sow farms' are effective for the low virulent strain. Moreover, the current CSF surveillance system in the Netherlands is cost-effective for both moderately virulent and low virulent CSF strains. The results of the cost-benefit analysis for the
L. MuhamadSafiih; A. A. Kamil; M. T. Abu Osman
2014-01-01
... this problem is through the use of semi-parametric method. However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables...
A pilot socio-economic analysis of QLIF dairy projects
Nicholas, Dr. Phillipa; Lampkin, Dr Nicolas; Leifert, Prof. Carlo; Butler, Dr. Gillian; Klocke, Peter; Wagenaar, J.P.T.M.
2008-01-01
A pilot socio-economic impact assessment was carried out on three dairy projects within QLIF to identify the business, consumer and policy issues likely to influence the adoption of the innovations resulting from QLIF. A socio-economic analysis is pre-sented related to the key outcomes from the three projects which include: manage-ment systems to reduce mastitis and antibiotic use in organic dairy farms and how milk quality can be enhanced through high forage organic feeding systems. Due to...
Explicit Trace Inequalities for Isogeometric Analysis and Parametric Hexahedral Finite Elements
2011-05-01
trace inequalities for NURBS -mapped domains. In addition to Sobolev-type inequalities, we derive discrete trace inequalities for use in NURBS -based...isogeometric analysis. All dependencies on shape, size, polynomial order, and the NURBS weighting function are precisely speci ed in our analysis, and...explicit values are provided for all bounding constants appearing in our estimates. As hexahedral nite elements are special cases of NURBS our results
Economic Consequence Analysis of Disasters: The ECAT Software Tool
Rose, Adam; Prager, Fynn; Chen, Zhenhua; Chatterjee, Samrat; Wei, Dan; Heatwole, Nathaniel; Warren, Eric
2017-04-15
This study develops a methodology for rapidly obtaining approximate estimates of the economic consequences from numerous natural, man-made and technological threats. This software tool is intended for use by various decision makers and analysts to obtain estimates rapidly. It is programmed in Excel and Visual Basic for Applications (VBA) to facilitate its use. This tool is called E-CAT (Economic Consequence Analysis Tool) and accounts for the cumulative direct and indirect impacts (including resilience and behavioral factors that significantly affect base estimates) on the U.S. economy. E-CAT is intended to be a major step toward advancing the current state of economic consequence analysis (ECA) and also contributing to and developing interest in further research into complex but rapid turnaround approaches. The essence of the methodology involves running numerous simulations in a computable general equilibrium (CGE) model for each threat, yielding synthetic data for the estimation of a single regression equation based on the identification of key explanatory variables (threat characteristics and background conditions). This transforms the results of a complex model, which is beyond the reach of most users, into a "reduced form" model that is readily comprehensible. Functionality has been built into E-CAT so that its users can switch various consequence categories on and off in order to create customized profiles of economic consequences of numerous risk events. E-CAT incorporates uncertainty on both the input and output side in the course of the analysis.
ANALYSIS OF OPTION FOR ENTREPRENEURSHIP OF STUDENTS STUDYING ECONOMICS
Camelia, VECHIU
2014-11-01
Full Text Available Entrepreneurship is important, entrepreneur plays a major role at micro and maroeconomic level. Entrepreneur is the manager and employee at the same time, is leader and innovator, his company provides products and services that society needs. Europe needs more entrepreneurs and those who want to follow the path of entrepreneurship needs to face multiple challenges that can be overcome when the future entrepreneur benefit from a complex entrepreneurship education. This paper aims, through applied questionnaire, to identify whether future economists are determined to choose the path of entrepreneurship and start a business on their own. Also, we wanted to identify the obstacles that interviewees consider that you have to struggle to start their business. We applied a questionnaire to students, final year bachelor's degree, studying economics. They were chosen because during the three years study several economic disciplines: microeconomics, macroeconomics, management, accounting, finance, law, economic analysis, the national economy, European policy.
J Yazdani Charati
2015-06-01
Full Text Available Background & aim: One of the most common clinical problems among individuals is thyroid nodule diseases which are characterized by one or more nodules in the thyroid and are usually benign. It can be said that thyroid cancer is the most common endocrine cancer worldwide. This study aimed to determine the risk factors for cancer in patients with thyroid nodule in Mazandaran province,Iran, using parametric survival analysis. Methods: In the present historical cohort study, 26,730 patients with thyroid nodules who were referred to health care centers from July 2002 to March 2008 were identified. Parametric log-normal and log-logistic models were compared with and without taking frailty into account. The criterion for comparing models was Akaike's criterion. All calculations were performed with the SPSS software and the significance level was considered 0.05. Results: The mean time of the conversion of thyroid nodules to cancer in patients was found to be 29.32 months. Using Kaplan-Meier method, survival rates of one year, five years and ten years of nodule conversion to cancer was calculated 94.6, 88.6 and respectively. According to the log rank test age (p=0.03, hypothyroidism (p=0.01, bilateral nodules (p <0.001, a multi-nodular goiter (p <0.001, TSH hormone (p <0.001, T4 hormones (p = 0.005, cholesterol (p = 0.03, creatinin levels (p = 0.001 a significant relationship was seen. Based on the Akaike's criterion, the lognormal model which takes frailty into account best fits to the data. Conclusion: Based on the log-normal model with frailty, It can be concluded that the thyroid nodule patients with abnormal TSH hormone are 6.55 times more likely to develop risk of thyroid cancer than patients who had normal TSH hormone overall. This model also indicated that patients who had heart palpitations are 5.52 times more likely to develop risk of cancer than patients who did not have heart palpitations.
[Emergy analysis of ecological-economic system in Liaoning Province].
Liu, Hao; Wang, Qing; Li, Xiu-Juan; Song, Yang; Li, Guang-Jun
2008-03-01
By the methods of emergy analysis, this paper studied the emergy flow in the ecological-economic system in Liaoning Province in 1990-2005, and the relationships between the environmental stress caused by resources' input, output and consumption and the sustainable development of the Province. The results showed that in Liaoning Province, the non-renewable resources occupied over 74% of the total consumed emergy, and the realistic population in 2005 was 3.26 times higher than the supportable population. In 1990-2005, the emergy yield ratio decreased from 65.40 to 10.13, emergy loading ratio increased from 2.72 to 7.18, and emergy sustainable index decreased from 24.03 to 1.41. The rapid economic growth in Liaoning Province was chiefly supported by the consumption of vast non-renewable resources, which caused the pressure of economic development on ecosystem getting more and more intense, the economic development increasingly depending on exogenous resources, and the sustainable development of Liaoning ecological-economic system having a continuing decrease. To realize the sustainable development in Liaoning Province, the principles of reduction, reutilization and recycling should be taken as the guidelines for promoting the reuse of wastes and the closed fine circulation of resources to minimize the discharge of wastes.
A Non Parametric Study of the Volatility of the Economy as a Country Risk Predictor
Costanzo, Sabatino; Dominguez, Ramses; Moreno, William
2007-01-01
This paper intends to explain Venezuela's country spread behavior through the Neural Networks analysis of a monthly economic activity general index of economic indicators constructed by the Central Bank of Venezuela, a measure of the shocks affecting country risk of emerging markets and the U.S. short term interest rate. The use of non parametric methods allowed the finding of non linear relationship between these inputs and the country risk. The networks performance was evaluated using the method of excess predictability.
Xiaodong WANG; Yushu CHEN; Lei HOU
2015-01-01
The bifurcation analysis of a simple electric power system involving two synchronous generators connected by a transmission network to an infinite-bus is carried out in this paper. In this system, the infinite-bus voltage are considered to maintain two fluctuations in the amplitude and phase angle. The case of 1:3 internal resonance between the two modes in the presence of parametric principal resonance is considered and examined. The method of multiple scales is used to obtain the bifurcation equations of this system. Then, by employing the singularity method, the transition sets determining different bifurcation patterns of the system are obtained and analyzed, which reveal the effects of the infinite-bus voltage amplitude and phase fluctuations on bifurcation patterns of this system. Finally, the bifurcation patterns are all examined by bifurcation diagrams. The results obtained in this paper will contribute to a better understanding of the complex nonlinear dynamic behaviors in a two-machine infinite-bus (TMIB) power system.
Sasanthi Peiris
2014-12-01
Full Text Available We describe a hybrid Raman-optical parametric amplifier (HROPA operating at the O- and E-bands and designed for coarse wavelength division multiplexed (CWDM passive optical networks (PONs. We present the mathematical model and simulation results for the optimization of this HROPA design. Our analysis shows that separating the two amplification processes allows for optimization of each one separately, e.g., proper selection of pump optical powers and wavelengths to achieve maximum gain bandwidth and low gain ripple. Furthermore, we show that the proper design of optical filters incorporated in the HROPA architecture can suppress idlers generated during the OPA process, as well as other crosstalk that leaks through the passive optical components. The design approach enables error free performance for all nine wavelengths within the low half of the CWDM band, assigned to upstream traffic in a CWDM PON architecture, for all possible transmitter wavelength misalignments (±6 nm from the center wavelength of the channel band. We show that the HROPA can achieve error-free performance with a 170-nm gain bandwidth (e.g., 1264 nm–1436 nm, a gain of >20 dB and a gain ripple of <4 dB.
Wu, Sheng-Ju; Shiah, Sheau-Wen [Department of Power Vehicle and Systems Engineering, Chung Cheng Institute of Technology, National Defense University, No. 190, Sanyuan 1st Street, Ta-Hsi, Taoyuan, Taiwan 335 (China); Yu, Wei-Lung [Graduate School of Defense Science, Chung Cheng Institute of Technology, National Defense University, No. 190, Sanyuan 1st Street, Ta-Hsi, Taoyuan, Taiwan 335 (China)
2009-01-15
This study proposes a novel parameter optimization method, capable of integrating the neural network and the Taguchi method for parametric analysis of proton exchange membrane fuel cell (PEMFC) performance. Numerous parameters affecting the PEMFC performance are analyzed, such as fuel cell operating temperatures, cathode and anode humidification temperatures, operating pressures, and reactant flow rate. In the traditional design of experiments, the Taguchi method has been popularly utilized in engineering. However, the parameter levels selected to form the orthogonal array in the Taguchi method are discrete, preventing the estimation of the real optimum. This study used the Taguchi method to acquire the primary optimums of the operating parameters in the PEMFC. Each row in the orthogonal array together with its relative responses was used to establish a set of training patterns (input/target pair) to the neural network. The neural network can then construct relationships between the control factors and responses in the PEMFC. The actual optimums of the operating parameters in the PEMFC were obtained by the trained neural network. Experimental results are presented for identifying the proposed approach, which is useful in improving performance for PEMFC and developing electrical system on advanced vehicles and ships. (author)
Farcomeni, Alessio; Serranti, Silvia; Bonifazi, Giuseppe
2008-01-01
Glass ceramic detection in glass recycling plants represents a still unsolved problem, as glass ceramic material looks like normal glass and is usually detected only by specialized personnel. The presence of glass-like contaminants inside waste glass products, resulting from both industrial and differentiated urban waste collection, increases process production costs and reduces final product quality. In this paper an innovative approach for glass ceramic recognition, based on the non-parametric analysis of infrared spectra, is proposed and investigated. The work was specifically addressed to the spectral classification of glass and glass ceramic fragments collected in an actual recycling plant from three different production lines: flat glass, colored container-glass and white container-glass. The analyses, carried out in the near and mid-infrared (NIR-MIR) spectral field (1280-4480 nm), show that glass ceramic and glass fragments can be recognized by applying a wavelet transform, with a small classification error. Moreover, a method for selecting only a small subset of relevant wavelength ratios is suggested, allowing the conduct of a fast recognition of the two classes of materials. The results show how the proposed approach can be utilized to develop a classification engine to be integrated inside a hardware and software sorting architecture for fast "on-line" ceramic glass recognition and separation.
Nishiyama, Yuichi; Mori, Hiroshi; Katsube, Takashi; Kitagaki, Hajime [Shimane University Faculty of Medicine, Department of Radiology, Izumo-shi, Shimane (Japan); Kanayama, Hidekazu; Tada, Keiji; Yamamoto, Yasushi [Shimane University Hospital, Department of Radiology, Izumo-shi, Shimane (Japan); Takeshita, Haruo [Shimane University Faculty of Medicine, Department of Legal Medicine, Izumo-shi, Shimane (Japan); Kawakami, Kazunori [Fujifilm RI Pharma, Co., Ltd., Tokyo (Japan)
2017-06-15
This study examined the usefulness of statistical parametric mapping (SPM) for investigating postmortem changes on brain computed tomography (CT). This retrospective study included 128 patients (23 - 100 years old) without cerebral abnormalities who underwent unenhanced brain CT before and after death. The antemortem CT (AMCT) scans and postmortem CT (PMCT) scans were spatially normalized using our original brain CT template, and postmortem changes of CT values (in Hounsfield units; HU) were analysed by the SPM technique. Compared with AMCT scans, 58.6 % and 98.4 % of PMCT scans showed loss of the cerebral sulci and an unclear grey matter (GM)-white matter (WM) interface, respectively. SPM analysis revealed a significant decrease in cortical GM density within 70 min after death on PMCT scans, suggesting cytotoxic brain oedema. Furthermore, there was a significant increase in the density of the WM, lenticular nucleus and thalamus more than 120 min after death. The SPM technique demonstrated typical postmortem changes on brain CT scans, and revealed that the unclear GM-WM interface on early PMCT scans is caused by a rapid decrease in cortical GM density combined with a delayed increase in WM density. SPM may be useful for assessment of whole brain postmortem changes. (orig.)
2007-11-02
du Sommeil , Nice, FRANCE Abstract - The study of the electroencephalographic (EEG) sig- nal contributes to sleep analysis. In the...lis, 1999, France. [2] O.Meste, A. Amargos, G. Suisse, H. Rix, “Détection automatique de fuseaux de sommeil à l’aide de représentations temps
Guccio, Calogero; Martorana, Marco Ferdinando; Mazza, Isidoro
2017-01-01
The paper assesses the evolution of efficiency of Italian public universities for the period 2000-2010. It aims at investigating whether their levels of efficiency showed signs of convergence, and if the well-known disparity between northern and southern regions decreased. For this purpose, we use a refinement of data envelopment analysis, namely…
A Semi-Parametric Bayesian Mixture Modeling Approach for the Analysis of Judge Mediated Data
Muckle, Timothy Joseph
2010-01-01
Existing methods for the analysis of ordinal-level data arising from judge ratings, such as the Multi-Facet Rasch model (MFRM, or the so-called Facets model) have been widely used in assessment in order to render fair examinee ability estimates in situations where the judges vary in their behavior or severity. However, this model makes certain…
Binbin Nie
Full Text Available PURPOSE: PET (positron emission tomography imaging researches of functional metabolism using fluorodeoxyglucose (18F-FDG of animal brain are important in neuroscience studies. FDG-PET imaging studies are often performed on groups of rats, so it is desirable to establish an objective voxel-based statistical methodology for group data analysis. MATERIAL AND METHODS: This study establishes a statistical parametric mapping (SPM toolbox (plug-ins named spmratIHEP for voxel-wise analysis of FDG-PET images of rat brain, in which an FDG-PET template and an intracranial mask image of rat brain in Paxinos & Watson space were constructed, and the default settings were modified according to features of rat brain. Compared to previous studies, our constructed rat brain template comprises not only the cerebrum and cerebellum, but also the whole olfactory bulb which made the later cognitive studies much more exhaustive. And with an intracranial mask image in the template space, the brain tissues of individuals could be extracted automatically. Moreover, an atlas space is used for anatomically labeling the functional findings in the Paxinos & Watson space. In order to standardize the template image with the atlas accurately, a synthetic FDG-PET image with six main anatomy structures is constructed from the atlas, which performs as a target image in the co-registration. RESULTS: The spatial normalization procedure is evaluated, by which the individual rat brain images could be standardized into the Paxinos & Watson space successfully and the intracranial tissues could also be extracted accurately. The practical usability of this toolbox is evaluated using FDG-PET functional images from rats with left side middle cerebral artery occlusion (MCAO in comparison to normal control rats. And the two-sample t-test statistical result is almost related to the left side MCA. CONCLUSION: We established a toolbox of SPM8 named spmratIHEP for voxel-wise analysis of FDG
Applications of non-parametric statistics and analysis of variance on sample variances
Myers, R. H.
1981-01-01
Nonparametric methods that are available for NASA-type applications are discussed. An attempt will be made here to survey what can be used, to attempt recommendations as to when each would be applicable, and to compare the methods, when possible, with the usual normal-theory procedures that are avavilable for the Gaussion analog. It is important here to point out the hypotheses that are being tested, the assumptions that are being made, and limitations of the nonparametric procedures. The appropriateness of doing analysis of variance on sample variances are also discussed and studied. This procedure is followed in several NASA simulation projects. On the surface this would appear to be reasonably sound procedure. However, difficulties involved center around the normality problem and the basic homogeneous variance assumption that is mase in usual analysis of variance problems. These difficulties discussed and guidelines given for using the methods.
Non-parametric group-level statistics for source-resolved ERP analysis.
Lee, Clement; Miyakoshi, Makoto; Delorme, Arnaud; Cauwenberghs, Gert; Makeig, Scott
2015-01-01
We have developed a new statistical framework for group-level event-related potential (ERP) analysis in EEGLAB. The framework calculates the variance of scalp channel signals accounted for by the activity of homogeneous clusters of sources found by independent component analysis (ICA). When ICA data decomposition is performed on each subject's data separately, functionally equivalent ICs can be grouped into EEGLAB clusters. Here, we report a new addition (statPvaf) to the EEGLAB plug-in std_envtopo to enable inferential statistics on main effects and interactions in event related potentials (ERPs) of independent component (IC) processes at the group level. We demonstrate the use of the updated plug-in on simulated and actual EEG data.
Parametric sensitivity analysis for the helium dimers on a model potential
Nelson Henrique Teixeira Lemes
2012-01-01
Full Text Available Potential parameters sensitivity analysis for helium unlike molecules, HeNe, HeAr, HeKr and HeXe is the subject of this work. Number of bound states these rare gas dimers can support, for different angular momentum, will be presented and discussed. The variable phase method, together with the Levinson's theorem, is used to explore the quantum scattering process at very low collision energy using the Tang and Toennies potential. These diatomic dimers can support a bound state even for relative angular momentum equal to five, as in HeXe. Vibrational excited states, with zero angular momentum, are also possible for HeKr and HeXe. Results from sensitive analysis will give acceptable order of magnitude on potentials parameters.
Washout allometric reference method (WARM) for parametric analysis of [(11)C]PIB in human brains
Rodell, Anders; Aanerud, Joel Fredrik Astrup; Brændgaard, Hans
2013-01-01
Rapid clearance and disappearance of a tracer from the circulation challenges the determination of the tracer's binding potentials in brain (BP ND) by positron emission tomography (PET). This is the case for the analysis of the binding of radiolabeled [(11)C]Pittsburgh Compound B ([(11)C]PIB......) to amyloid-β (Aβ) plaques in brain of patients with Alzheimer's disease (AD). To resolve the issue of rapid clearance from the circulation, we here introduce the flow-independent Washout Allometric Reference Method (WARM) for the analysis of washout and binding of [(11)C]PIB in two groups of human subjects...... reference region directly from the [(11)C]PIB signal. The difference of average absolute CBF values between the AD and HC groups was highly significant (P
The Likert scale analysis using parametric based Structural Equation Modeling (SEM)
Zainudin Awang; Asyraf Afthanorhan; Mustafa Mamat
2016-01-01
The Likert scale is commonly used in survey research using primary and secondary data to measure the respondent attitude by asking insofar to which they agree or disagree with a particular questions. In generals, Likert scale would be preferred in the questionnaire development stage to ascertain the researchers conducting their research needed. However, the researchers nowadays are abuse to understand the nature of measurement scale in data analysis and ...
Amorim, Barbara Juarez; Ramos, Celso Dario; Santos, Allan Oliveira dos; Lima, Mariana da Cunha Lopes de; Camargo, Edwaldo Eduardo; Etchebehere, Elba Cristina Sa de Camargo, E-mail: juarezbarbara@hotmail.co [State University of Campinas (UNICAMP), SP (Brazil). School of Medical Sciences. Dept. of Radiology; Min, Li Li; Cendes, Fernando [State University of Campinas (UNICAMP), SP (Brazil). School of Medical Sciences. Dept. of Neurology
2010-04-15
Objective: to compare the accuracy of SPM and visual analysis of brain SPECT in patients with mesial temporal lobe epilepsy (MTLE). Method: interictal and ictal SPECTs of 22 patients with MTLE were performed. Visual analysis were performed in interictal (VISUAL(inter)) and ictal (VISUAL(ictal/inter)) studies. SPM analysis consisted of comparing interictal (SPM(inter)) and ictal SPECTs (SPM(ictal)) of each patient to control group and by comparing perfusion of temporal lobes in ictal and interictal studies among themselves (SPM(ictal/inter)). Results: for detection of the epileptogenic focus, the sensitivities were as follows: VISUAL(inter)=68%; VISUAL(ictal/inter)=100%; SPM(inter)=45%; SPM(ictal)=64% and SPM(ictal/inter)=77%. SPM was able to detect more areas of hyperperfusion and hypoperfusion. Conclusion: SPM did not improve the sensitivity to detect epileptogenic focus. However, SPM detected different regions of hypoperfusion and hyperperfusion and is therefore a helpful tool for better understand pathophysiology of seizures in MTLE. (author)
2013-01-01
Background Stochastic modeling and simulation provide powerful predictive methods for the intrinsic understanding of fundamental mechanisms in complex biochemical networks. Typically, such mathematical models involve networks of coupled jump stochastic processes with a large number of parameters that need to be suitably calibrated against experimental data. In this direction, the parameter sensitivity analysis of reaction networks is an essential mathematical and computational tool, yielding information regarding the robustness and the identifiability of model parameters. However, existing sensitivity analysis approaches such as variants of the finite difference method can have an overwhelming computational cost in models with a high-dimensional parameter space. Results We develop a sensitivity analysis methodology suitable for complex stochastic reaction networks with a large number of parameters. The proposed approach is based on Information Theory methods and relies on the quantification of information loss due to parameter perturbations between time-series distributions. For this reason, we need to work on path-space, i.e., the set consisting of all stochastic trajectories, hence the proposed approach is referred to as “pathwise”. The pathwise sensitivity analysis method is realized by employing the rigorously-derived Relative Entropy Rate, which is directly computable from the propensity functions. A key aspect of the method is that an associated pathwise Fisher Information Matrix (FIM) is defined, which in turn constitutes a gradient-free approach to quantifying parameter sensitivities. The structure of the FIM turns out to be block-diagonal, revealing hidden parameter dependencies and sensitivities in reaction networks. Conclusions As a gradient-free method, the proposed sensitivity analysis provides a significant advantage when dealing with complex stochastic systems with a large number of parameters. In addition, the knowledge of the structure of the
Parametric Models of Periodogram
P. Mohan; A. Mangalam; S. Chattopadhyay
2014-09-01
The maximum likelihood estimator is used to determine fit parameters for various parametric models of the Fourier periodogram followed by the selection of the best-fit model amongst competing models using the Akaike information criteria. This analysis, when applied to light curves of active galactic nuclei can be used to infer the presence of quasi-periodicity and break or knee frequencies. The extracted information can be used to place constraints on the mass, spin and other properties of the putative central black hole and the region surrounding it through theoretical models involving disk and jet physics.
Hybrid optimization for 13C metabolic flux analysis using systems parametrized by compactification
Frick Oliver
2008-03-01
Full Text Available Abstract Background The importance and power of isotope-based metabolic flux analysis and its contribution to understanding the metabolic network is increasingly recognized. Its application is, however, still limited partly due to computational inefficiency. 13C metabolic flux analysis aims to compute in vivo metabolic fluxes in terms of metabolite balancing extended by carbon isotopomer balances and involves a nonlinear least-squares problem. To solve the problem more efficiently, improved numerical optimization techniques are necessary. Results For flux computation, we developed a gradient-based hybrid optimization algorithm. Here, independent flux variables were compactified into [0, 1-ranged variables using a single transformation rule. The compactified parameters could be discriminated between non-identifiable and identifiable variables after model linearization. The developed hybrid algorithm was applied to the central metabolism of Bacillus subtilis with only succinate and glutamate as carbon sources. This creates difficulties caused by symmetry of succinate leading to limited introduction of 13C labeling information into the system. The algorithm was found to be superior to its parent algorithms and to global optimization methods both in accuracy and speed. The hybrid optimization with tolerance adjustment quickly converged to the minimum with close to zero deviation and exactly re-estimated flux variables. In the metabolic network studied, some fluxes were found to be either non-identifiable or nonlinearly correlated. The non-identifiable fluxes could correctly be predicted a priori using the model identification method applied, whereas the nonlinear flux correlation was revealed only by identification runs using different starting values a posteriori. Conclusion This fast, robust and accurate optimization method is useful for high-throughput metabolic flux analysis, a posteriori identification of possible parameter correlations, and
Washout allometric reference method (WARM) for parametric analysis of [(11)C]PIB in human brains.
Rodell, Anders; Aanerud, Joel; Braendgaard, Hans; Gjedde, Albert
2013-01-01
Rapid clearance and disappearance of a tracer from the circulation challenges the determination of the tracer's binding potentials in brain (BP ND) by positron emission tomography (PET). This is the case for the analysis of the binding of radiolabeled [(11)C]Pittsburgh Compound B ([(11)C]PIB) to amyloid-β (Aβ) plaques in brain of patients with Alzheimer's disease (AD). To resolve the issue of rapid clearance from the circulation, we here introduce the flow-independent Washout Allometric Reference Method (WARM) for the analysis of washout and binding of [(11)C]PIB in two groups of human subjects, healthy aged control subjects (HC), and patients suffering from AD, and we compare the results to the outcome of two conventional analysis methods. We also use the rapid initial clearance to obtain a surrogate measure of the rate of cerebral blood flow (CBF), as well as a method of identifying a suitable reference region directly from the [(11)C]PIB signal. The difference of average absolute CBF values between the AD and HC groups was highly significant (P PIB binding, the separate estimates of CBF and BP ND provide additional information about possible AD. The results demonstrate the importance of data-driven estimation of CBF and BP ND, as well as reference region detection from the [(11)C]PIB signal. We conclude that the WARM method yields stable measures of BP ND with relative ease, using only integration for noise reduction and no model regression. The method accounts for relative flow differences in the brain tissue and yields a calibrated measure of absolute CBF directly from the [(11)C]PIB signal. Compared to conventional methods, WARM optimizes the Aβ plaque load discrimination between patients with AD and healthy controls (P = 0.009).
D. D. Lucas
2004-10-01
Full Text Available A study of the current significant uncertainties in dimethylsulfide (DMS gas-phase chemistry provides insight into additional research needed to decrease these uncertainties. The DMS oxidation cycle in the remote marine boundary layer is simulated using a diurnally-varying box model with 56 uncertain chemical and physical parameters. Two analytical methods (direct integration and probabilistic collocation are used to determine the most influential parameters (sensitivity analysis and sources of uncertainty (uncertainty analysis affecting the concentrations of DMS, SO_{2}, methanesulfonic acid (MSA, and H_{2}SO_{4}. The key parameters identified by the sensitivity analysis are associated with DMS emissions, mixing in to and out of the boundary layer, heterogeneous removal of soluble sulfur-containing compounds, and the DMS+OH addition and abstraction reactions. MSA and H_{2}SO_{4} are also sensitive to the rate constants of numerous other reactions, which limits the effectiveness of mechanism reduction techniques. Propagating the parameter uncertainties through the model leads to concentrations that are uncertain by factors of 1.8 to 3.0. The main sources of uncertainty are from DMS emissions and heterogeneous scavenging. Uncertain chemical rate constants, however, collectively account for up to 50–60% of the net uncertainties in MSA and H_{2}SO_{4}. The concentration uncertainties are also calculated at different temperatures, where they vary mainly due to temperature-dependent chemistry. With changing temperature, the uncertainties of DMS and SO_{2} remain steady, while the uncertainties of MSA and H_{2}SO_{4} vary by factors of 2 to 4.
Devriendt, Christof; De Sitter, Gert; Guillaume, Patrick
2010-07-01
In this contribution the approach to identify modal parameters from output-only (scalar) transmissibility measurements [C. Devriendt, P. Guillaume, The use of transmissibility measurements in output-only modal analysis, Mechanical Systems and Signal Processing 21 (7) (2007) 2689-2696] is generalized to multivariable transmissibilities. In general, the poles that are identified from (scalar as well as multivariable) transmissibility measurements do not correspond with the system's poles. However, by combining transmissibility measurements under different loading conditions, it is shown in this paper how model parameters can be identified from multivariable transmissibility measurements.
Parametrizing Algebraic Curves
Lemmermeyer, Franz
2011-01-01
We present the technique of parametrization of plane algebraic curves from a number theorist's point of view and present Kapferer's simple and beautiful (but little known) proof that nonsingular curves of degree > 2 cannot be parametrized by rational functions.
Economic analysis in medical education: definition of essential terms.
Walsh, Kieran
2014-10-01
Medical education is expensive. There is a growing interest in the subject of cost and value in medical education. However, in the medical education literature, terms are sometimes used loosely - and so there is a need for basic grounding in the meaning of commonly used and important terms in medical education economics. The purpose of this article is to define some terms that are frequently used in economic analysis in medical education. In this article, terms are described, and the descriptions are followed by a worked example of how the terms might be used in practice. The following terms are described: opportunity cost, total cost of ownership, sensitivity analysis, viewpoint, activity-based costing, efficiency, technical efficiency, allocative efficiency, price and transaction costs.
Ford, Eric B.; /Florida U.; Fabrycky, Daniel C.; /Lick Observ.; Steffen, Jason H.; /Fermilab; Carter, Joshua A.; /Harvard-Smithsonian Ctr. Astrophys.; Fressin, Francois; /Harvard-Smithsonian Ctr. Astrophys.; Holman, Matthew J.; /Harvard-Smithsonian Ctr. Astrophys.; Lissauer, Jack J.; /NASA, Ames; Moorhead, Althea V.; /Florida U.; Morehead, Robert C.; /Florida U.; Ragozzine, Darin; /Harvard-Smithsonian Ctr. Astrophys.; Rowe, Jason F.; /NASA, Ames /SETI Inst., Mtn. View /San Diego State U., Astron. Dept.
2012-01-01
We present a new method for confirming transiting planets based on the combination of transit timing variations (TTVs) and dynamical stability. Correlated TTVs provide evidence that the pair of bodies are in the same physical system. Orbital stability provides upper limits for the masses of the transiting companions that are in the planetary regime. This paper describes a non-parametric technique for quantifying the statistical significance of TTVs based on the correlation of two TTV data sets. We apply this method to an analysis of the transit timing variations of two stars with multiple transiting planet candidates identified by Kepler. We confirm four transiting planets in two multiple planet systems based on their TTVs and the constraints imposed by dynamical stability. An additional three candidates in these same systems are not confirmed as planets, but are likely to be validated as real planets once further observations and analyses are possible. If all were confirmed, these systems would be near 4:6:9 and 2:4:6:9 period commensurabilities. Our results demonstrate that TTVs provide a powerful tool for confirming transiting planets, including low-mass planets and planets around faint stars for which Doppler follow-up is not practical with existing facilities. Continued Kepler observations will dramatically improve the constraints on the planet masses and orbits and provide sensitivity for detecting additional non-transiting planets. If Kepler observations were extended to eight years, then a similar analysis could likely confirm systems with multiple closely spaced, small transiting planets in or near the habitable zone of solar-type stars.
Khalilpour, Rajab
2011-08-12
The modeling and optimal design/operation of gas membranes for postcombustion carbon capture (PCC) is presented. A systematic methodology is presented for analysis of membrane systems considering multicomponent flue gas with CO 2 as target component. Simplifying assumptions is avoided by namely multicomponent flue gas represented by CO 2/N 2 binary mixture or considering the co/countercurrent flow pattern of hollow-fiber membrane system as mixed flow. Optimal regions of flue gas pressures and membrane area were found within which a technoeconomical process system design could be carried out. High selectivity was found to not necessarily have notable impact on PCC membrane performance, rather, a medium selectivity combined with medium or high permeance could be more advantageous. © 2011 American Institute of Chemical Engineers (AIChE).
Parametric Analysis of PWR Spent Fuel Depletion Parameters for Long-Term-Disposal Criticality Safety
DeHart, M.D.
1999-08-01
Utilization of burnup credit in criticality safety analysis for long-term disposal of spent nuclear fuel allows improved design efficiency and reduced cost due to the large mass of fissile material that will be present in the repository. Burnup-credit calculations are based on depletion calculations that provide a conservative estimate of spent fuel contents (in terms of criticality potential), followed by criticality calculations to assess the value of the effective neutron multiplication factor (k(sub)eff) for the a spent fuel cask or a fuel configuration under a variety of probabilistically derived events. In order to ensure that the depletion calculation is conservative, it is necessary to both qualify and quantify assumptions that can be made in depletion models.
Parametric Analysis of a Heavy Metal Sorption Isotherm Based on Fractional Calculus
Enrico M. Gomes
2013-01-01
Full Text Available Heavy metals are widely recognized as being hazardous to human health and environmentally aggressive. The literature reports different approaches for lead removal, for example, water hyacinths. Heavy metal sorption isotherm modeling represents an important tool towards the study of equilibrium conditions. Fractional calculus represents a novel approach and a growing research field for process modeling, based on derivatives of arbitrary order. Recently, a novel isotherm based on fractional calculus was proposed for lead sorption using water hyacinth (Eichhornia crassipes. This paper reports a general procedure on error analysis and its influence on parameter estimation. It was applied to mathematical models based on fractional differential equations, focusing on a heavy metal novel isotherm sorption model. Parameter variance was calculated by using two different approaches (with the complete Hessian matrix and with a simplified Hessian matrix, and joint parameter confidence regions were generated, being successfully able to show that the fractional nature of the model is statistically valid.
Performance analysis and parametric optimum criteria of a regeneration Bose-Otto engine
Wang Hao; Du Jianqiang [School of Computer, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004 (China); Liu Sanqiu [Department of Physics, Nanchang University, Nanchang 330047 (China)], E-mail: ncu.wh@163.com
2009-05-15
A general regenerative model of the Otto engine cycle working with an ideal Bose gas is used to discuss the influence of quantum degeneracy, regeneration and finite rate heat transfer on the performance of the cycle. Based on the model, expressions for some important parameters, such as the power output and efficiency of the Bose-Otto engine cycle, are derived analytically. By means of numerical calculation and illustration, the influence of the compression ratio of the two isochoric processes and the regenerator effectiveness on the performance of the cycle are discussed and evaluated in detail. Moreover, the general optimal performance characteristics of the cycle are revealed. This analysis could provide a general theoretical tool for the optimal design and operation of real power plants.
Performance analysis and parametric optimum criteria of a regeneration Bose-Otto engine
Wang, Hao; Liu, Sanqiu; Du, Jianqiang
2009-05-01
A general regenerative model of the Otto engine cycle working with an ideal Bose gas is used to discuss the influence of quantum degeneracy, regeneration and finite rate heat transfer on the performance of the cycle. Based on the model, expressions for some important parameters, such as the power output and efficiency of the Bose-Otto engine cycle, are derived analytically. By means of numerical calculation and illustration, the influence of the compression ratio of the two isochoric processes and the regenerator effectiveness on the performance of the cycle are discussed and evaluated in detail. Moreover, the general optimal performance characteristics of the cycle are revealed. This analysis could provide a general theoretical tool for the optimal design and operation of real power plants.
The Analysis of International Migration towards Economic Growth
Ferdous Alam; Chamhuri Siwar; Basri Talib; Rabiul Islam
2011-01-01
Problem statement: This study discusses the analysis of international migration towards economic growth in Bangladesh. International migration refers to the cross-border movement of people from a mother country to a location outside that mother country, with the purpose of taking up higher income employment, better living conditions, higher education get access to civic amenities and conducting a daily existence there for an extended period of time. The exports of labor, human capital, play a...
Texting while driving as impulsive choice: A behavioral economic analysis
Hayashi, Yusuke; Russo, Christopher T.; Wirth, Oliver
2015-01-01
The goal of the present study was to examine the utility of a behavioral economic analysis to investigate the role of delay discounting in texting while driving. A sample of 147 college students completed a survey to assess how frequently they send and read text messages while driving. Based on this information, students were assigned to one of two groups: 19 students who frequently text while driving and 19 matched-control students who infrequently text while driving but were similar in gend...
Economic analysis of emerald ash borer (Coleoptera: Buprestidae) management options.
Vannatta, A R; Hauer, R H; Schuettpelz, N M
2012-02-01
Emerald ash borer, Agrilus planipennis (Fairmaire) (Coleoptera: Buprestidae), plays a significant role in the health and extent of management of native North American ash species in urban forests. An economic analysis of management options was performed to aid decision makers in preparing for likely future infestations. Separate ash tree population valuations were derived from the i-Tree Streets program and the Council of Tree and Landscape Appraisers (CTLA) methodology. A relative economic analysis was used to compare a control option (do-nothing approach, only removing ash trees as they die) to three distinct management options: 1) preemptive removal of all ash trees over a 5 yr period, 2) preemptive removal of all ash trees and replacement with comparable nonash trees, or 3) treating the entire population of ash trees with insecticides to minimize mortality. For each valuation and management option, an annual analysis was performed for both the remaining ash tree population and those lost to emerald ash borer. Retention of ash trees using insecticide treatments typically retained greater urban forest value, followed by doing nothing (control), which was better than preemptive removal and replacement. Preemptive removal without tree replacement, which was the least expensive management option, also provided the lowest net urban forest value over the 20-yr simulation. A "no emerald ash borer" scenario was modeled to further serve as a benchmark for each management option and provide a level of economic justification for regulatory programs aimed at slowing the movement of emerald ash borer.
Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea
Qu, Bo; Gabric, Albert J.; Zeng, Meifang; Xi, Jiaojiao; Jiang, Limei; Zhao, Li
2017-09-01
Sea-to-air fluxes of marine biogenic aerosols have the potential to modify cloud microphysics and regional radiative budgets, and thus moderate Earth's warming. Polar regions play a critical role in the evolution of global climate. In this work, we use a well-established biogeochemical model to simulate the DMS flux from the Greenland Sea (20°W-10°E and 70°N-80°N) for the period 2003-2004. Parameter sensitivity analysis is employed to identify the most sensitive parameters in the model. A genetic algorithm (GA) technique is used for DMS model parameter calibration. Data from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are used to drive the DMS model under 4 × CO2 conditions. DMS flux under quadrupled CO2 levels increases more than 300% compared with late 20th century levels (1 × CO2). Reasons for the increase in DMS flux include changes in the ocean state-namely an increase in sea surface temperature (SST) and loss of sea ice-and an increase in DMS transfer velocity, especially in spring and summer. Such a large increase in DMS flux could slow the rate of warming in the Arctic via radiative budget changes associated with DMS-derived aerosols.
V. Tramutoli
1996-06-01
Full Text Available An autoregressive model was selected to describe geoelectrical time series. An objective technique was subsequently applied to analyze and discriminate values above (below an a priorifixed threshold possibly related to seismic events. A complete check of the model and the main guidelines to estimate the occurrence probability of extreme events are reported. A first application of the proposed technique is discussed through the analysis of the experimental data recorded by an automatic station located in Tito, a small town on the Apennine chain in Southern Italy. This region was hit by the November 1980 Irpinia-Basilicata earthquake and it is one of most active areas of the Mediterranean region. After a preliminary filtering procedure to reduce the influence of external parameters (i.e. the meteo-climatic effects, it was demonstrated that the geoelectrical residual time series are well described by means of a second order autoregressive model. Our findings outline a statistical methodology to evaluate the efficiency of electrical seismic precursors.
Xian-Qian Wu; Xi Wang; Yan-Peng Wei; Hong-Wei Song; Chen-Guang Huang
2012-01-01
Shot peening is a widely used surface treatment method by generating compressive residual stress near the surface of metallic materials to increase fatigue life and resistance to corrosion fatigue,cracking,etc.Compressive residual stress and dent profile are important factors to evaluate the effectiveness of shot peening process.In this paper,the influence of dimensionless parameters on maximum compressive residual stress and maximum depth of the dent were investigated.Firstly,dimensionless relations of processing parameters that affect the maximum compressive residual stress and the maximum depth of the dent were deduced by dimensional analysis method.Secondly,the influence of each dimensionless parameter on dimensionless variables was investigated by the finite element method.Furthermore,related empirical formulas were given for each dimensionless parameter based on the simulation results.Finally,comparison was made and good agreement was found between the simulation results and the empirical formula,which shows that a useful approach is provided in this paper for analyzing the influence of each individual parameter.
M.E.E. Abashar
2015-01-01
Full Text Available In this paper, we present mathematical modeling and numerical simulation tools in searching the high parameter space of steam reforming of heptane for the key design parameters, which have the potential to give high heptane conversion, high hydrogen yield and hydrogen to carbon monoxide ratio within the industrial limits for the syngas used as a feedstock for the gas to liquid processes (GTL. The system under consideration is the novel circulating fast fluidized bed membrane reactor (CFFBMR. The simulation results show that the hydrogen membrane has a significant role in the displacement of the thermodynamic equilibriums of the reversible reactions and production of ultraclean hydrogen, which can be used as a fuel for the fuel cells. Also the results of the sensitivity analysis show that the best performance of the CFFBMR can be obtained by a proper selection of combination of several parameters of high feed temperatures, high steam to carbon feed ratios, high reaction side pressures coupled with a large permeation area of a composite thin film membrane. These parameters are interacting in a very complex manner to give 100% conversion of heptane and 496.94% increase in hydrogen yield compared to the reformer without hydrogen membrane. It was found that under these selected operating conditions a low H2/CO ratio of 1.15 is achieved satisfying the practical recommended industrial range.
Economic Growth And Carbon Emission: A Dynamic Panel Data Analysis
Ibrahim BAKIRTAS
2014-10-01
Full Text Available The relationship between carbon dioxide emission (CO2 and economic growth is one of the crucial topics in environmental economics. This study is aimed to investigatethat problem. In this study, depending on the theory of Environmental Kuznets Curves (EKC, the impact of income in carbon dioxide emission has measured for 34 OECD and5 BRICS countries with using Dynamic Panel Data Analysis. In this regard OECD countries are classified by income groups due to the average per capita income rate ofOECD to solve the homogeneity problem among OECD countries. On the other hand EKC hypothesis analysed by short and long run income elasticity which will be using foran evident that a country reduces CO2 emissions with the income increase in this study. According to the findings of the study, % 36 of the country sample coherent with theEKC hypothesis. The main encouragement for testing this relationship between economic growth and CO2 emission is leading politicians to reconsider the environmental impactswhich are arising from income increase when they are taking a decision to maximizes the economic growth.Keywords: EKC; OECD; Dynamic Panel Data
Crowther, Michael J; Look, Maxime P; Riley, Richard D
2014-09-28
Multilevel mixed effects survival models are used in the analysis of clustered survival data, such as repeated events, multicenter clinical trials, and individual participant data (IPD) meta-analyses, to investigate heterogeneity in baseline risk and covariate effects. In this paper, we extend parametric frailty models including the exponential, Weibull and Gompertz proportional hazards (PH) models and the log logistic, log normal, and generalized gamma accelerated failure time models to allow any number of normally distributed random effects. Furthermore, we extend the flexible parametric survival model of Royston and Parmar, modeled on the log-cumulative hazard scale using restricted cubic splines, to include random effects while also allowing for non-PH (time-dependent effects). Maximum likelihood is used to estimate the models utilizing adaptive or nonadaptive Gauss-Hermite quadrature. The methods are evaluated through simulation studies representing clinically plausible scenarios of a multicenter trial and IPD meta-analysis, showing good performance of the estimation method. The flexible parametric mixed effects model is illustrated using a dataset of patients with kidney disease and repeated times to infection and an IPD meta-analysis of prognostic factor studies in patients with breast cancer. User-friendly Stata software is provided to implement the methods. Copyright © 2014 John Wiley & Sons, Ltd.
Angle-Resolved Spectroscopy of Parametric Fluorescence
Hsu, Feng-kuo
2013-01-01
The parametric fluorescence from a nonlinear crystal forms a conical radiation pattern. We measure the angular and spectral distributions of parametric fluorescence in a beta-barium borate crystal pumped by a 405-nm diode laser employing angle-resolved imaging spectroscopy. The experimental angle-resolved spectra and the generation efficiency of parametric down conversion are compared with a plane-wave theoretical analysis. The parametric fluorescence is used as a broadband light source for the calibration of the instrument spectral response function in the wavelength range from 450 to 1000 nm.
ANALYSIS OF ECONOMICS OF QUALITY IN MANUFACTURING INDUSTRIES
A. Sailaj
2014-03-01
Full Text Available In modern industries, much emphasis is given to quality as it is the most effective tool which can capture, retain and enlarge customer base. The customer satisfaction is the ultimate goal of business and no other strategy can achieve it other than attaining best quality. An improvement in quality enhances customer satisfaction, taper s manufacturing costs and of course in turn, increases productivity. But in business scenario, improving quality should be considered along with the expenses associated with it. The strategy should be to achieve high Quality in a most economic way. So identifying effective methods for the analysis of economics behind quality and reduction of costs associated with achieving quality is a serious potential management problem and should be looked in to and analyzed. Economics of Quality analysis which is also termed as cost of quality or quality cost analysis has emerged as a powerful management tool for assessing the present quality level of the organization and to identify the improvement opportunities and also supports in decision making. This paper presents a study on quality cost analysis of two manufacturing units and tries to analyze the interrelationships between quality cost categories using statistical methods. The secondary data collected from the financial records of two firms under manufacturing sector is used for this analysis. The Pearson product momentum correlation coefficient between different quality cost categories provides insight to the relationships between different quality cost elements and in turn helps management to set action priorities to be addressed to achieve good quality at lower cost. The regression analysis helps the management in estimation or prediction of the unknown value of one variable from the known value of the other variable.
[Economic analysis of health promotion conducted in an enterprise].
Wang, Zhi-chun; Yang, Xue-ying; Kang, Wen-long; Wang, Wen-jing
2013-12-01
To take intervention measures for health promotion after investigation of occupational health needs among employees, to analyze the economic input and output of the intervention measures, and to analyze the feasibility of health promotion through cost-effectiveness analysis and cost-benefit analysis. A survey was conducted in an enterprise using a self-designed questionnaire to investigate the general information on enterprise, occupational history of each employee, awareness of occupational health knowledge, awareness of general health knowledge, awareness of hypertension, acquired immune deficiency syndrome, etc., lifestyle, and needs for health knowledge. Intervention measures were taken in the enterprise according to the investigation results, and then investigation and economic analysis of investment in health promotion, economic benefit, and absence of employees were performed using the questionnaire. After intervention, the awareness rate of the Code of Occupational Disease Prevention increased from 4.5% to 15.3%, the awareness rate of the definition of occupational diseases increased from 4.5% to 73.5%, and the awareness rate of the prevention and control measures for occupational diseases increased from 38.4% to 85.8%. Before intervention, 25.4%of all employees thought salt intake needed to be reduced, and this proportion increased to 92.5% after intervention. After the control strategy for health promotion, the benefit of health promotion that results from avoiding absence of employees and preventing occupational diseases was more than ten times the investment in health promotion, suggesting a significant benefit of health promotion conducted in the enterprise. The return on health promotion's investment for enterprise is worth. Health promotion really not just contribute to improve hygienic knowledge but increase the economic benefit.
Economic Analysis of Different Nuclear Fuel Cycle Options
Won Il Ko
2012-01-01
Full Text Available An economic analysis has been performed to compare four nuclear fuel cycle options: a once-through cycle (OT, DUPIC recycling, thermal recycling using MOX fuel in a pressurized water reactor (PWR-MOX, and sodium fast reactor recycling employing pyroprocessing (Pyro-SFR. This comparison was made to suggest an economic competitive fuel cycle for the Republic of Korea. The fuel cycle cost (FCC has been calculated based on the equilibrium material flows integrated with the unit cost of the fuel cycle components. The levelized fuel cycle costs (LFCC have been derived in terms of mills/kWh for a fair comparison among the FCCs, and the results are as follows: OT 7.35 mills/kWh, DUPIC 9.06 mills/kWh, PUREX-MOX 8.94 mills/kWh, and Pyro-SFR 7.70 mills/kWh. Due to unavoidable uncertainties, a cost range has been applied to each unit cost, and an uncertainty study has been performed accordingly. A sensitivity analysis has also been carried out to obtain the break-even uranium price (215$/kgU for the Pyro-SFR against the OT, which demonstrates that the deployment of the Pyro-SFR may be economical in the foreseeable future. The influence of pyrotechniques on the LFCC has also been studied to determine at which level the potential advantages of Pyro-SFR can be realized.
Waentig, Larissa; Techritz, Sandra; Jakubowski, Norbert; Roos, Peter H
2013-11-07
The paper presents a new multi-parametric protein microarray embracing the multi-analyte capabilities of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The combination of high throughput reverse phase protein microarrays with element tagged antibodies and LA-ICP-MS makes it possible to detect and quantify many proteins or biomarkers in multiple samples simultaneously. A proof of concept experiment is performed for the analysis of cytochromes particularly of cytochrome P450 enzymes, which play an important role in the metabolism of xenobiotics such as toxicants and drugs. With the aid of the LA-ICP-MS based multi-parametric reverse phase protein microarray it was possible to analyse 8 cytochromes in 14 different proteomes in one run. The methodology shows excellent detection limits in the lower amol range and a very good linearity of R(2) ≥ 0.9996 which is a prerequisite for the development of further quantification strategies.
Tan, Qihua; Zhao, J H; Iachine, I
2004-01-01
This report investigates the power issue in applying the non-parametric linkage analysis of affected sib-pairs (ASP) [Kruglyak and Lander, 1995: Am J Hum Genet 57:439-454] to localize genes that contribute to human longevity using long-lived sib-pairs. Data were simulated by introducing a recently...... developed statistical model for measuring marker-longevity associations [Yashin et al., 1999: Am J Hum Genet 65:1178-1193], enabling direct power comparison between linkage and association approaches. The non-parametric linkage (NPL) scores estimated in the region harboring the causal allele are evaluated...... in case of a dominant effect. Although the power issue may depend heavily on the true genetic nature in maintaining survival, our study suggests that results from small-scale sib-pair investigations should be referred with caution, given the complexity of human longevity....
Economical analysis of combined fuel cell generators and absorption chillers
M. Morsy El-Gohary
2013-06-01
Full Text Available This paper presents a co-generation system based on combined heat and power for commercial units. For installation of a co-generation system, certain estimates for this site should be performed through making assessments of electrical loads, domestic water, and thermal demand. This includes domestic hot water, selection of the type of power generator, fuel cell, and the type of air conditioning system, and absorption chillers. As a matter of fact, the co-generation system has demonstrated good results for both major aspects, economic and environmental. From the environmental point of view, this can be considered as an ideal solution for problems concerned with the usage of Chlorofluoro carbons. On the other hand, from the economic point of view, the cost analysis has revealed that the proposed system saves 4% of total cost through using the co-generation system.
Economic Analysis on Key Challenges for Sustainable Aquaculture Development
Gedefaw Abate, Tenaw
challenges that could obstruct its sustainable development, such as a lack of suitable feed, which includes fishmeal, fish oil and live feed, and negative environmental externalities. If the aquaculture industry is to reach its full potential, it must be both environmentally and economically sustainable...... environmental externalities. A sustainable supply of high-quality live feeds at reasonable prices is absolutely essential for aquaculture hatcheries because many commercially produced high-value marine fish larval species, such as flounder, grouper, halibut, tuna and turbot, require live feed for their early...... developmental stage. The key challenge in this regard is that the conventional used live feed items, Artemia and rotifers, are nutritionally deficient. Thus, the first main purpose of the thesis is carrying out an economic analysis of the feasibility of commercial production and the use of an alternative live...
Techno-economic analysis of biofuel production considering logistic configurations.
Li, Qi; Hu, Guiping
2016-04-01
In the study, a techno-economic analysis method considering logistic configurations is proposed. The economic feasibility of a low temperature biomass gasification pathway and an integrated pathway with fast pyrolysis and bio-oil gasification are evaluated and compared with the proposed method in Iowa. The results show that both pathways are profitable, biomass gasification pathway could achieve an Internal Rate of Return (IRR) of 10.00% by building a single biorefinery and integrated bio-oil gasification pathway could achieve an IRR of 3.32% by applying decentralized supply chain structure. A Monte-Carlo simulation considering interactions among parameters is also proposed and conducted, which indicates that both pathways are at high risk currently.
Analysis of remote working practice AND CALCULATION OF ECONOMIC EFFICIENCY
K. S. Ermakov
2015-01-01
Full Text Available The article is devoted to description of working from home practice at Allianz Insurance UK и Ernst & Young, UK & Ireland. It fulfilled the analysis of the best practices in the use of new forms of social and labor relations - remote work. The characteristics of using types of distance work, the policy of implementation and realization of such work in the company, the criteria for the transfer of employees to work remotely, the possibility of a flexible approach to workflow are given. The calculation of the economic efficiency of technology telecommuting at an aviation company of the Russian Federation is done. The method of calculating the cost-effectiveness based on several factors, such as costs for the organization and content of the workplace, change in labor productivity and others, was proposed by the authors. The calculation of economic efficiency by using the number of working hours, the impact on capital inputs and the impact on quit rates is considered.
Economic Analysis on Key Challenges for Sustainable Aquaculture Development
Gedefaw Abate, Tenaw
developmental stage. The key challenge in this regard is that the conventional used live feed items, Artemia and rotifers, are nutritionally deficient. Thus, the first main purpose of the thesis is carrying out an economic analysis of the feasibility of commercial production and the use of an alternative live...... challenges that could obstruct its sustainable development, such as a lack of suitable feed, which includes fishmeal, fish oil and live feed, and negative environmental externalities. If the aquaculture industry is to reach its full potential, it must be both environmentally and economically sustainable....... To this end, key challenges should be thoroughly examined to identify sustainable and efficient solutions. Thus, the thesis focuses on two important bottlenecks in the growth of the aquaculture sector—namely, lack of nutritionally suitable live feed items for marine finfish production and negative...
Economic Growth and Budget Constraints: EU Countries Panel Data Analysis
Zimčík Petr
2016-06-01
Full Text Available The aim of this paper is to identify the impacts of different taxes and expenditures on economic growth. The research is focused on 20 selected European Union Member States. These countries are equally divided into four groups based on their average tax burden as presented in the World Tax Index. A comparison of fiscal attributes among these groups is important for the analysis. Annual government finance data from the years 1995 to 2012 are used for an empirical study. The indicators observed are real GDP change, the composition and volume of total government expenditures, tax quotas of individual taxes and total budget balance. These indicators are used within an endogenous growth model together with capital stock and an approximation of human capital. A panel regression with fixed effects is used as an analytic tool. The main results are that an increase in social contributions, property, production and personal income tax quotas has an adverse effect on economic growth.
Archer Kellie J
2008-02-01
Full Text Available Abstract Background With the popularity of DNA microarray technology, multiple groups of researchers have studied the gene expression of similar biological conditions. Different methods have been developed to integrate the results from various microarray studies, though most of them rely on distributional assumptions, such as the t-statistic based, mixed-effects model, or Bayesian model methods. However, often the sample size for each individual microarray experiment is small. Therefore, in this paper we present a non-parametric meta-analysis approach for combining data from independent microarray studies, and illustrate its application on two independent Affymetrix GeneChip studies that compared the gene expression of biopsies from kidney transplant recipients with chronic allograft nephropathy (CAN to those with normal functioning allograft. Results The simulation study comparing the non-parametric meta-analysis approach to a commonly used t-statistic based approach shows that the non-parametric approach has better sensitivity and specificity. For the application on the two CAN studies, we identified 309 distinct genes that expressed differently in CAN. By applying Fisher's exact test to identify enriched KEGG pathways among those genes called differentially expressed, we found 6 KEGG pathways to be over-represented among the identified genes. We used the expression measurements of the identified genes as predictors to predict the class labels for 6 additional biopsy samples, and the predicted results all conformed to their pathologist diagnosed class labels. Conclusion We present a new approach for combining data from multiple independent microarray studies. This approach is non-parametric and does not rely on any distributional assumptions. The rationale behind the approach is logically intuitive and can be easily understood by researchers not having advanced training in statistics. Some of the identified genes and pathways have been
Kong, Xiangrong; Mas, Valeria; Archer, Kellie J
2008-02-26
With the popularity of DNA microarray technology, multiple groups of researchers have studied the gene expression of similar biological conditions. Different methods have been developed to integrate the results from various microarray studies, though most of them rely on distributional assumptions, such as the t-statistic based, mixed-effects model, or Bayesian model methods. However, often the sample size for each individual microarray experiment is small. Therefore, in this paper we present a non-parametric meta-analysis approach for combining data from independent microarray studies, and illustrate its application on two independent Affymetrix GeneChip studies that compared the gene expression of biopsies from kidney transplant recipients with chronic allograft nephropathy (CAN) to those with normal functioning allograft. The simulation study comparing the non-parametric meta-analysis approach to a commonly used t-statistic based approach shows that the non-parametric approach has better sensitivity and specificity. For the application on the two CAN studies, we identified 309 distinct genes that expressed differently in CAN. By applying Fisher's exact test to identify enriched KEGG pathways among those genes called differentially expressed, we found 6 KEGG pathways to be over-represented among the identified genes. We used the expression measurements of the identified genes as predictors to predict the class labels for 6 additional biopsy samples, and the predicted results all conformed to their pathologist diagnosed class labels. We present a new approach for combining data from multiple independent microarray studies. This approach is non-parametric and does not rely on any distributional assumptions. The rationale behind the approach is logically intuitive and can be easily understood by researchers not having advanced training in statistics. Some of the identified genes and pathways have been reported to be relevant to renal diseases. Further study on the
On Parametric (and Non-Parametric Variation
Neil Smith
2009-11-01
Full Text Available This article raises the issue of the correct characterization of ‘Parametric Variation’ in syntax and phonology. After specifying their theoretical commitments, the authors outline the relevant parts of the Principles–and–Parameters framework, and draw a three-way distinction among Universal Principles, Parameters, and Accidents. The core of the contribution then consists of an attempt to provide identity criteria for parametric, as opposed to non-parametric, variation. Parametric choices must be antecedently known, and it is suggested that they must also satisfy seven individually necessary and jointly sufficient criteria. These are that they be cognitively represented, systematic, dependent on the input, deterministic, discrete, mutually exclusive, and irreversible.
Clinical laboratory as an economic model for business performance analysis.
Buljanović, Vikica; Patajac, Hrvoje; Petrovecki, Mladen
2011-08-15
To perform SWOT (strengths, weaknesses, opportunities, and threats) analysis of a clinical laboratory as an economic model that may be used to improve business performance of laboratories by removing weaknesses, minimizing threats, and using external opportunities and internal strengths. Impact of possible threats to and weaknesses of the Clinical Laboratory at Našice General County Hospital business performance and use of strengths and opportunities to improve operating profit were simulated using models created on the basis of SWOT analysis results. The operating profit as a measure of profitability of the clinical laboratory was defined as total revenue minus total expenses and presented using a profit and loss account. Changes in the input parameters in the profit and loss account for 2008 were determined using opportunities and potential threats, and economic sensitivity analysis was made by using changes in the key parameters. The profit and loss account and economic sensitivity analysis were tools for quantifying the impact of changes in the revenues and expenses on the business operations of clinical laboratory. Results of simulation models showed that operational profit of €470 723 in 2008 could be reduced to only €21 542 if all possible threats became a reality and current weaknesses remained the same. Also, operational gain could be increased to €535 804 if laboratory strengths and opportunities were utilized. If both the opportunities and threats became a reality, the operational profit would decrease by €384 465. The operational profit of the clinical laboratory could be significantly reduced if all threats became a reality and the current weaknesses remained the same. The operational profit could be increased by utilizing strengths and opportunities as much as possible. This type of modeling may be used to monitor business operations of any clinical laboratory and improve its financial situation by implementing changes in the next fiscal
Clinical laboratory as an economic model for business performance analysis
Buljanović, Vikica; Patajac, Hrvoje; Petrovečki, Mladen
2011-01-01
Aim To perform SWOT (strengths, weaknesses, opportunities, and threats) analysis of a clinical laboratory as an economic model that may be used to improve business performance of laboratories by removing weaknesses, minimizing threats, and using external opportunities and internal strengths. Methods Impact of possible threats to and weaknesses of the Clinical Laboratory at Našice General County Hospital business performance and use of strengths and opportunities to improve operating profit were simulated using models created on the basis of SWOT analysis results. The operating profit as a measure of profitability of the clinical laboratory was defined as total revenue minus total expenses and presented using a profit and loss account. Changes in the input parameters in the profit and loss account for 2008 were determined using opportunities and potential threats, and economic sensitivity analysis was made by using changes in the key parameters. The profit and loss account and economic sensitivity analysis were tools for quantifying the impact of changes in the revenues and expenses on the business operations of clinical laboratory. Results Results of simulation models showed that operational profit of €470 723 in 2008 could be reduced to only €21 542 if all possible threats became a reality and current weaknesses remained the same. Also, operational gain could be increased to €535 804 if laboratory strengths and opportunities were utilized. If both the opportunities and threats became a reality, the operational profit would decrease by €384 465. Conclusion The operational profit of the clinical laboratory could be significantly reduced if all threats became a reality and the current weaknesses remained the same. The operational profit could be increased by utilizing strengths and opportunities as much as possible. This type of modeling may be used to monitor business operations of any clinical laboratory and improve its financial situation by
Economic analysis of the cost of Intensive Care Units
Mazetas D.
2014-04-01
Full Text Available The cost of Intensive Care Units has the greatest impact on overall medical costs and the overall cost for the health of a country and an increasing number of studies from around the world presenting the quantification of these costs. Aim: Review of the Economic Analysis of the Cost of Intensive Care Units. Method: Search was made in the SCOPUS, MEDLINE and CINAHL databases using the key-words “Intensive Care Units (ICU”, “Cost”, “Cost Analysis”, “Health Care Costs”, “Health Resources”, “ICU resources”. The study was based on articles published in English from 2000 to 2011 investigating the Economic Analysis of the Cost of Intensive Care Units. Results: The cost of ICU is a significant percentage of gross domestic product in developed countries. Most cost analysis studies that relate to plans that include the study of staff costs, duration of stay in the ICU, the clinical situations of hospitalized patients, engineering support, medications and diagnostic tests costing scales and in relation to the diagnostic criteria. Conclusions: most studies conclude that the remuneration of staff, particularly nurses, in the ICU is the largest cost of ICU, while for the duration of stay in the ICU results are conflicting. The analysis on the cost-effectiveness of ICU can help to better apply these findings to the therapeutic context of ICU.
Proposed standby gasoline rationing plan. Economic and regulatory analysis draft
1978-06-01
This economic and regulatory analysis meets the requirements of the Energy Policy and Conservation Act, which calls for an evaluation of the potential economic impacts of the gasoline rationing contingency plan. In addition, this analysis is intended to satisfy the requirements of the President's Executive Order No. 12044 of March 23, 1978, regarding government regulations, and provides an inflationary impact statement for the proposed rationing plan. To perform the analysis of rationing program impacts on the total national economy, three separate projections were required. First, a projection is made of the ''normal'' U.S. economy for a future period--the last quarter of 1980 through the third quarter of 1981 in this analysis. Second, a projection is made of the impacts which a petroleum supply interruption would have on the U.S. economy during this future period, assuming that DOE's standby allocation and price control regulations were implemented for crude oil and products. Third, and most significant, an estimate is made of the incremental impacts of the gasoline rationing program on this already-perturbed future U.S. economy.
New algorithms for evaluating parametric surface
无
2001-01-01
Through generalization of mathematical model of surface lofting program in the CONSURF system, the definitions for two generalized Ball surfaces and their recursive algorithms are given. Furthermore, the conversion al gorithms from Bézier surface to these two generalized Ball surfaces are presented. On the basis of these algorithms, two more efficient algorithms for evaluating parametric surfaces are also derived. One uses generalized Ball forms directly for evaluating surface, and the other converts the given Bézier surface to a generalized Ball surface firstly, and then evalu ates the surface. Both theoretical analysis and example computations show that the two new algorithms are more efficient than the de Casteljau algorithm. Especially when Wang-Ball surface is used, the time complexity is reduced from cubic to quadratic of the degree of the surface. If these algorithms are applied to displaying, interactive rendering, designing, intersection-finding, offsetting and approximating for surfaces, considerable economic results can be achieved.
ECONOMIC AND FINANCIAL ANALYSIS OF PEANUT PRODUCTION IN BULGARIA
Nelly BENCHEVA
2008-11-01
Full Text Available Peanut is not listed as one of the major crops in the Bulgarian agricultural sector, but its economic and fi nancial viability is promising, but unknown. We use enterprise budgets, capital budgeting techniques, risk analysis and logistic regression models to examine the fi nancial and economic structure of peanut farms and to evaluate the factors infl uencing short and long-term profi tability. The results show that peanut production is a profi table venture for most peanut farmers in Bulgaria. Long-run analyses show that peanut production may be economically feasible and producers engaged in production for a period of seven years, and at a discount rate of 13%, may generate internal rates of return (IRR that vary from -20.57% to 67.39%. About 70% of the farms studied had IRRs greater than the discount rate. Sensitivity analyses show that profi tability of peanut production was infl uenced by yield and variable costs. There were risks at the village level associated with peanut production.
Examination of European Union economic cohesion: A cluster analysis approach
Jiri Mazurek
2014-01-01
Full Text Available In the past years majority of EU members experienced the highest economic decline in their modern history, but impacts of the global financial crisis were not distributed homogeneously across the continent. The aim of the paper is to examine a cohesion of European Union (plus Norway and Iceland in terms of an economic development of its members from the 1st of January 2008 to the 31st of December 2012. For the study five economic indicators were selected: GDP growth, unemployment, inflation, labour productivity and government debt. Annual data from Eurostat databases were averaged over the whole period and then used as an input for a cluster analysis. It was found that EU countries were divided into six different clusters. The most populated cluster with 14 countries covered Central and West Europe and reflected relative homogeneity of this part of Europe. Countries of Southern Europe (Greece, Portugal and Spain shared their own cluster of the most affected countries by the recent crisis as well as the Baltics and the Balkans states in another cluster. On the other hand Slovakia and Poland, only two countries that escaped a recession, were classified in their own cluster of the most successful countries
Solantausta, Y.
1995-12-31
The objectives of the IEA Bioenergy Technoeconomic Analysis Activity are: To promote development of thermochemical biomass conversion methods by carrying out selected site specific feasibility studies in participating countries. Both agricultural and woody biomasses will be converted either into electricity or boiler fuels. To compare advanced technologies to commercial alternatives based on techno-economic basis to establish future development needs. To facilitate information exchange between participants on relevant basic process issues. Five countries (Finland, Canada, USA, Norway, Austria) are participating to the Activity. Initially two feasibility studies are planned for each country. Each study has three common elements: site specific, technical, and economic data. The site specific cases are described below in short. Products in the cases are electricity, heat and fuel oil. Total of two cases per country are planned
Techno-Economic Analysis of Biofuels Production Based on Gasification
Swanson, R. M.; Platon, A.; Satrio, J. A.; Brown, R. C.; Hsu, D. D.
2010-11-01
This study compares capital and production costs of two biomass-to-liquid production plants based on gasification. The first biorefinery scenario is an oxygen-fed, low-temperature (870?C), non-slagging, fluidized bed gasifier. The second scenario is an oxygen-fed, high-temperature (1,300?C), slagging, entrained flow gasifier. Both are followed by catalytic Fischer-Tropsch synthesis and hydroprocessing to naphtha-range (gasoline blend stock) and distillate-range (diesel blend stock) liquid fractions. Process modeling software (Aspen Plus) is utilized to organize the mass and energy streams and cost estimation software is used to generate equipment costs. Economic analysis is performed to estimate the capital investment and operating costs. Results show that the total capital investment required for nth plant scenarios is $610 million and $500 million for high-temperature and low-temperature scenarios, respectively. Product value (PV) for the high-temperature and low-temperature scenarios is estimated to be $4.30 and $4.80 per gallon of gasoline equivalent (GGE), respectively, based on a feedstock cost of $75 per dry short ton. Sensitivity analysis is also performed on process and economic parameters. This analysis shows that total capital investment and feedstock cost are among the most influential parameters affecting the PV.
Wind Energy in Poland - economic analysis of wind farm
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.
Utility Analysis on Supply of Rural Public Policies in North Bay Economic Zone
Changzhen; LI; Dafeng; YE
2013-01-01
From analysis on internal and external motive forces of development in North Bay Economic Zone, it indicates that public policies, as basic methods of government intervening against social and economic activities, are fundamental public goods produced by government. Effective supply of public policies brings rural economic growth, environmental protection and sustainable development, which greatly stimulates rural consumption, expands domestic demand and spurs economic growth, showing significant "multiplier effect". In this situation, this paper studies conditions for rural economic development and social transformation of the North Bay Economic Zone. Results show that social and economic development of rural areas of the North Bay Economic Zone needs scientific, reasonable and effective "public policies".
Cogeneration from Poultry Industry Wastes -- Part II: Economic Analysis
Bianchi, M.; Cherubini, F.; Pascale, A. D.
2003-01-01
of a Indirectly Fired Gas Turbine (Part I). Moreover a Steam Turbine Plant or a simplified system for the supply of the only technological steam are investigated and compared. Thermodynamic and economic analysis have been carried out for the examined configurations in order to outline the basic differences...... an existing poultry industry as fuel. Different plant configurations have been considered in order to make use of the oil and of the meat and bone meal, which are the by-products of the chicken cooking process. In particular, the process plant can be integrated with an energy supply plant which can consist...
An Economic Analysis of Identity and Career Choice
Humlum, Maria Knoth; Kleinjans, Kristin J.; Nielsen, Helena Skyt
2007-01-01
Standard economic models which focus on pecuniary payoffs cannot explain why there are highly able individuals who choose careers with low pecuniary re- turns. Therefore, financial incentives are unlikely to be effective in influencing career choices of these individuals. Based on Akerlof...... and Kranton (2000), we con- sider a model of career choice and identity where individuals derive non-pecuniary identity payoffs. Using factor analysis on a range of attitude questions, we find two factors related to identity (career orientation and social orientation), which are important for educational...
Liew, K. H.; Urip, E.; Yang, S. L.; Siow, Y. K.; Marek, C. J.
2005-01-01
Today s modern aircraft is based on air-breathing jet propulsion systems, which use moving fluids as substances to transform energy carried by the fluids into power. Throughout aero-vehicle evolution, improvements have been made to the engine efficiency and pollutants reduction. The major advantages associated with the addition of ITB are an increase in thermal efficiency and reduction in NOx emission. Lower temperature peak in the main combustor results in lower thermal NOx emission and lower amount of cooling air required. This study focuses on a parametric (on-design) cycle analysis of a dual-spool, separate-flow turbofan engine with an Interstage Turbine Burner (ITB). The ITB considered in this paper is a relatively new concept in modern jet engine propulsion. The ITB serves as a secondary combustor and is located between the high- and the low-pressure turbine, i.e., the transition duct. The objective of this study is to use design parameters, such as flight Mach number, compressor pressure ratio, fan pressure ratio, fan bypass ratio, and high-pressure turbine inlet temperature to obtain engine performance parameters, such as specific thrust and thrust specific fuel consumption. Results of this study can provide guidance in identifying the performance characteristics of various engine components, which can then be used to develop, analyze, integrate, and optimize the system performance of turbofan engines with an ITB. Visual Basic program, Microsoft Excel macrocode, and Microsoft Excel neuron code are used to facilitate Microsoft Excel software to plot engine performance versus engine design parameters. This program computes and plots the data sequentially without forcing users to open other types of plotting programs. A user s manual on how to use the program is also included in this report. Furthermore, this stand-alone program is written in conjunction with an off-design program which is an extension of this study. The computed result of a selected design
Lobach, Ihar; Feranchuk, Ilya
2015-01-01
Linear theory of the parametric beam instability or the self-amplification of parametric x-ray radiation (PXR) from relativistic electrons in a crystal is considered taking into account finite emittance of the electron beam and absorption of the radiation. It is shown that these factors change essentially the estimation of threshold parameters of the electron bunches for the coherent X-ray generation. The boundary conditions for the linear theory of the effect is analyzed in details and it is shown that the grazing incidence diffraction geometry is optimal for the growth of instability. Numerical estimations of amplification and coherent photon yield in dependence on the electron current density are presented for the case of mm-thickness Si crystal and 100 MeV electrons. Possible improvements of the experimental scheme for optimization of the coherent radiation intensity are discussed.
Nielsen, Allan Aasbjerg
2001-01-01
to suggest an iterated CEM scheme. Also the target constrained interference minimized filter (TCIMF) is described. Spectral angle mapping (SAM) is briefly described. Finally, semi-parametric unmixing (SPU) based on a combined linear and additive model with a non-linear, smooth function to represent end......As a supplement or an alternative to classification of hyperspectral image data linear and semi-parametric mixture models are considered in order to obtain estimates of abundance of each class or end-member in pixels with mixed membership. Full unmixing based on both ordinary least squares (OLS......) and non-negative least squares (NNLS), and the partial unmixing methods orthogonal subspace projection (OSP), constrained energy minimization (CEM) and an eigenvalue formulation alternative are dealt with. The solution to the eigenvalue formulation alternative proves to be identical to the CEM solution...
Fu, F.
2010-01-01
A 3-dimensional finite element model built by the author was used in this paper to analyze the progressive collapse of a multi-storey steel composite frame building. The proposed model can represent the global 3-D behavior of the multi-storey building under the sudden column removal scenarios. Based on this model, parametric studies were carried out to investigate the structural behavior with variations in: strength of structural steel, strength of concrete and reinforcement mesh size. Throug...
Ford, Eric B.; Fabrycky, Daniel C.; Steffen, Jason H.; Carter, Joshua A.; Fressin, Francois; Holman, Matthew Jon; Lissauer, Jack J.; Moorhead, Althea V.; Morehead, Robert C.; Ragozzine, Darin; Rowe, Jason F.; Welsh, William F.; Allen, Christopher; Batalha, Natalie M.; Borucki, William J.
2012-01-01
We present a new method for confirming transiting planets based on the combination of transit timingn variations (TTVs) and dynamical stability. Correlated TTVs provide evidence that the pair of bodies are in the same physical system. Orbital stability provides upper limits for the masses of the transiting companions that are in the planetary regime. This paper describes a non-parametric technique for quantifying the statistical significance of TTVs based on the correlation of two TTV data se...
Smoking cessation: an economic analysis and review of varenicline
Michele A Faulkner
2009-06-01
Full Text Available Michele A FaulknerCreighton University School of Pharmacy and Health Professions, Omaha, NE, USAAbstract: Despite efforts to decrease tobacco use, smoking continues to be a leading cause of preventable morbidity and premature death. The associated economic burden is substantial, both in the form of direct costs (healthcare expenditures and indirect costs (lost productivity, regardless of whether the burden is assessed from the standpoint of an employer, a health plan, or society as a whole. Cessation programs are considered among the most cost-effective in healthcare, and are often used as a benchmark for other medical interventions. This analysis specifically considers the cost-effectiveness of varenicline, a novel α4β2 partial agonist used for smoking cessation, in comparison to other approved therapies. Clinical trial data have demonstrated that varenicline has the ability to decrease cravings and withdrawal symptoms, and lessen positive reinforcement associated with smoking. Varenicline’s novel mechanism has translated into superior efficacy in comparison to other available therapies. For this reason, despite an initial cost that typically exceeds that of other medications, varenicline is a cost-effective option for smoking cessation.Keywords: cost-effectiveness, economic analysis, smoking cessation, varenicline
The Global Challenge of Antimicrobial Resistance: Insights from Economic Analysis
Richard J. Zeckhauser
2010-08-01
Full Text Available The prevalence of antimicrobial resistance (AR limits the therapeutic options for treatment of infections, and increases the social benefit from disease prevention. Like an environmental resource, antimicrobials require stewardship. The effectiveness of an antimicrobial agent is a global public good. We argue for greater use of economic analysis as an input to policy discussion about AR, including for understanding the incentives underlying health behaviors that spawn AR, and to supplement other methods of tracing the evolution of AR internationally. We also discuss integrating antimicrobial stewardship into global health governance.The prevalence of antimicrobial resistance (AR limits the therapeutic options for treatment of infections, and increases the social benefit from disease prevention. Like an environmental resource, antimicrobials require stewardship. The effectiveness of an antimicrobial agent is a global public good. We argue for greater use of economic analysis as an input to policy discussion about AR, including for understanding the incentives underlying health behaviors that spawn AR, and to supplement other methods of tracing the evolution of AR internationally. We also discuss integrating antimicrobial stewardship into global health governance.
ECONOMIC ANALYSIS OF SELECTED ADSORPTION BEDS USED FOR WATER TREATMENT
Iwona Skoczko
2016-02-01
Full Text Available In the paper an economic analysis of the sorption deposits used for water purification was performed. Such masses of carbon as Organosorb 10 deposit, Norit ROW 0.8 Supra deposit, Hydroantracyt N deposit and K110 deposit were selected. The economic substantiation for the selection of specific deposits was based on the purchase cost of filter deposits, the environmental fee for water intake, the cost of equipment to aerate water, the cost of chemicals for deposits regeneration, the cost of the dosing pump reagents for regeneration generated during the process of adsorption using each of the deposits selected to the analysis. K110 deposit turned out to be the cheapest in the exploitation and Norit ROW 0.8 Supra was most expensive. The operating costs of the adsorption deposits depend mainly on the purchase of the adsorbent and the speed of adsorption. Moreover, environmental fee for water intake constitutes a significant share in the costs of exploitation of carbon deposits , which is greater than the deposit costs.
An updated comprehensive techno-economic analysis of algae biodiesel.
Nagarajan, Sanjay; Chou, Siaw Kiang; Cao, Shenyan; Wu, Chen; Zhou, Zhi
2013-10-01
Algae biodiesel is a promising but expensive alternative fuel to petro-diesel. To overcome cost barriers, detailed cost analyses are needed. A decade-old cost analysis by the U.S. National Renewable Energy Laboratory indicated that the costs of algae biodiesel were in the range of $0.53-0.85/L (2012 USD values). However, the cost of land and transesterification were just roughly estimated. In this study, an updated comprehensive techno-economic analysis was conducted with optimized processes and improved cost estimations. Latest process improvement, quotes from vendors, government databases, and other relevant data sources were used to calculate the updated algal biodiesel costs, and the final costs of biodiesel are in the range of $0.42-0.97/L. Additional improvements on cost-effective biodiesel production around the globe to cultivate algae was also recommended. Overall, the calculated costs seem promising, suggesting that a single step biodiesel production process is close to commercial reality.
Antieigenvalue analysis for continuum mechanics, economics, and number theory
Gustafson Karl
2016-01-01
Full Text Available My recent book Antieigenvalue Analysis, World-Scientific, 2012, presented the theory of antieigenvalues from its inception in 1966 up to 2010, and its applications within those forty-five years to Numerical Analysis, Wavelets, Statistics, Quantum Mechanics, Finance, and Optimization. Here I am able to offer three further areas of application: Continuum Mechanics, Economics, and Number Theory. In particular, the critical angle of repose in a continuum model of granular materials is shown to be exactly my matrix maximum turning angle of the stress tensor of the material. The important Sharpe ratio of the Capital Asset Pricing Model is now seen in terms of my antieigenvalue theory. Euclid’s Formula for Pythagorean triples becomes a special case of my operator trigonometry.
Economic analysis of waste-to-energy industry in China.
Zhao, Xin-Gang; Jiang, Gui-Wu; Li, Ang; Wang, Ling
2016-02-01
The generation of municipal solid waste is further increasing in China with urbanization and improvement of living standards. The "12th five-year plan" period (2011-2015) promotes waste-to-energy technologies for the harmless disposal and recycling of municipal solid waste. Waste-to-energy plant plays an important role for reaching China's energy conservation and emission reduction targets. Industrial policies and market prospect of waste-to-energy industry are described. Technology, cost and benefit of waste-to-energy plant are also discussed. Based on an economic analysis of a waste-to-energy project in China (Return on Investment, Net Present Value, Internal Rate of Return, and Sensitivity Analysis) the paper makes the conclusions. Copyright © 2015 Elsevier Ltd. All rights reserved.
Parametric Room Acoustic Workflows
Parigi, Dario; Svidt, Kjeld; Molin, Erik
2017-01-01
The paper investigates and assesses different room acoustics software and the opportunities they offer to engage in parametric acoustics workflow and to influence architectural designs. The first step consists in the testing and benchmarking of different tools on the basis of accuracy, speed...... and interoperability with Grasshopper 3d. The focus will be placed to the benchmarking of three different acoustic analysis tools based on raytracing. To compare the accuracy and speed of the acoustic evaluation across different tools, a homogeneous set of acoustic parameters is chosen. The room acoustics parameters...... included in the set are reverberation time (EDT, RT30), clarity (C50), loudness (G), and definition (D50). Scenarios are discussed for determining at different design stages the most suitable acoustic tool. Those scenarios are characterized, by the use of less accurate but fast evaluation tools to be used...
Economic Efficiency Analysis for Information Technology in Developing Countries
Ghassan F. Issa
2009-01-01
Full Text Available Problem statement: The introduction of Information Technology (IT to government institutions in developing countries bears a great deal of risk of failure. The lack of qualified personnel, lack of financial support and the lack of planning and proper justification are just few of the causes of projects failure. Study presented in this study focused on the justification issue of IT projects through the application of Cost Benefit Analysis (CBA as part of a comprehensive Economic Efficiency Analysis (EEA of IT Projects, thus providing management with a decision making tool which highlights existing and future problems and reduces the risk of failure. Approach: Cost-Benefit Analysis (CBA based on Economic Efficiency Analysis (EEA was performed on selected IT projects from ministries and key institutions in the government of Jordan using a well established approach employed by the Federal Government of Germany (KBSt approach. The approach was then modified and refined to suit the needs of developing countries so that it captured all the relevant elements of cost and benefits both quantitatively and qualitatively and includes a set of guidelines for data collection strategy. Results: When IT projects were evaluated using CBA, most cases yielded negative Net Present Value (NPV, even though, some cases showed some reduction in operation cost starting from the third year of project life. However, when the CBA was applied as a part of a comprehensive EEA by introducing qualitative aspects and urgency criteria, proper justification for new projects became feasible. Conclusion: The modified EEA represented a systematic approach which was well suited for the government of Jordan as a developing country. This approach was capable of dealing with the justification issue, evaluation of existing systems and the urgency of replacing legacy systems. This study explored many of the challenges and inherited problems existing in the public sectors of developing
Meizhi Sun; Lailin Ji; Qunyu Bi; Nannan Wang; Jun Kang; Xinglong Xie; Zunqi Lin
2011-01-01
A new type of optical parametric chirped pulse amplifier is designed and analyzed for the amplification of pulse centered at 808 nm.A novel crystal,yttrium calcium oxyborate YCa4O(BO3)3 (YCOB),is utilized in the power amplification stage of optical parametric amplification (OPA).Noncollinear phase matching parameters in the xoz principle plane of YCOB,compared with those in BBO and DKDP,are analyzed by numerical simulation.The results show that YCOB rather than DKDP can be used in the power amplification stage of OPA to realize the amplification of chirped pulse to several joules with a gain bandwidth exceeding 100 nm.This can be used to gain a high intensity pulse of ～10 fs after the compressor.The amplification of the femtosecond pulse is an important branch of ultra-intense laser technology,with Ti:sapphire as the medium for its large gain bandwidth.From the perspective of technical features and applications,such femtosecond pulses are used to study high field physics and other related areas in ultrashort time[1,2];however,the pursuit of higher energy femtosecond pulse should not be abandoned.Optical parametric chirped pulse amplification (OPCPA) has been successfully used in the front end of high intensity lasers[3-8],indicating the possibility of femtosecond pulse amplification.This has been verified by an increasing number of fine crystals being invented,such as YCa4O(BO3)3 (YCOB)[9-12].%A new type of optical parametric chirped pulse amplifier is designed and analyzed for the amplification of pulse centered at 808 nm. A novel crystal, yttrium calcium oxyborate YCa4O(BO3)3 (YCOB), is utilized in the power amplification stage of optical parametric amplification (OPA). Noncollinear phase matching parameters in the xoz principle plane of YCOB, compared with those in BBO and DKDP, are analyzed by numerical simulation. The results show that YCOB rather than DKDP can be used in the power amplification stage of OPA to realize the amplification of chirped pulse to
Up Lim
2015-07-01
Full Text Available A question fundamental to sustainable economic growth is whether a poor region tends to grow faster than a rich one, such that the poor region catches up with the rich region in terms of the level of per capita income. In this article, we apply the spatial panel data approach to the analysis of regional income convergence across 177 economic areas in the contiguous US states over the period from 1969 to 2009. Using data on per capita incomes in the functionally defined economic areas, we find that the absolute value of the estimated coefficient of the initial per capita income decreases in the spatial and time-period fixed effects spatial lag model and increases in the spatial and time-period fixed effects spatial error model. This result implies that the growth rate in a specific economic area will be not only directly affected by an exogenous shock introduced into that economic area but also be impacted more by both the indirect effects of the first-order neighboring economic areas and the induced effects of the higher-order neighboring economic areas. This gives helpful hints on the issue of spatial interaction and regional policy coordination to start a virtuous circle of sustainable economic growth.
Economic Performance Analysis of National Research and Development Project
Kim, S. S.; Yun, S. W.; Kim, S. E. [KAERI, Daejeon (Korea, Republic of)
2016-05-15
There are a lot of differences between these two evaluation programs in terms of their main objectives, assessment items, and evaluation methods by item. When considering the recent evaluation trend of being more concerned with the objective and scientifically well-founded base of judgment than the qualitative results data, there seems to be much supplement and improvement points in both evaluation programs. Firstly, the MSIP's evaluation program which is known as 'The performance analysis of national R and D program in Korea is applying the principle of ex-post evaluation for the overall performances of R and D activities focusing on the scientific and technological outputs, economic effects, and social performances such as the training of science and engineering personnel. Its report has been done and published by the collaboration of MSIP and KISTEP(Korea Institute of Science and Technology Evaluation and Planning). There seems to be a trend that the economic contributions to the national economy and the industries by national R and D projects have been underestimated due to the difficulties of not presenting properly the reliable quantitative effects even though they have contributed not only to the real economy and economic growth but to the industrial productions and public benefits. The key reasons to this phenomenon might be the deficiency of perception for evaluation tools and methodologies development and the original difficulty of evaluation for R and D performances. Especially the evaluation results for national R and D projects could impact on the investment decision on the long-term national R and D program, with being based on the investment efficiency or the necessity and urgency which might be represented by evaluation results.
Employing SWOT Analysis in Coursework on the Geographies of Regional Economic Development and Trade
Kalafsky, Ronald V.; Sonnichsen, Tyler
2015-01-01
The use of SWOT analysis is a means through which geography students can investigate key concepts in economic geography and essential topics in regional economic development. This article discusses the results of a course project where economic geography students employed SWOT analysis to explore medium-sized metropolitan areas across the southern…
Employing SWOT Analysis in Coursework on the Geographies of Regional Economic Development and Trade
Kalafsky, Ronald V.; Sonnichsen, Tyler
2015-01-01
The use of SWOT analysis is a means through which geography students can investigate key concepts in economic geography and essential topics in regional economic development. This article discusses the results of a course project where economic geography students employed SWOT analysis to explore medium-sized metropolitan areas across the southern…
Environmental and economic analysis of management systems for biodegradable waste
Sonesson, U. [Department of Agricultural Engineering, Swedish University of Agricultural Sciences, P.O. Box 7033, S-750 07 Uppsala (Sweden); Bjoerklund, A. [Department of Chemical Engineering and Technology/Industrial Ecology, Royal Institute of Technology, S-100 44 Stockholm (Sweden); Carlsson, M. [Department of Economics, Swedish University of Agricultural Sciences, P.O. Box 7013, S-750 07 Uppsala (Sweden); Dalemo, M. [Swedish Institute of Agricultural Engineering, P.O. Box 7033, S-750 07 Uppsala (Sweden)
2000-01-01
The management system for solid and liquid organic waste affects the environment and surrounding technical systems in several ways. In order to decrease the environmental impact and resource use, biological waste treatment and alternative solutions for sewage treatment are often advocated. These alternatives include increased agricultural use of waste residuals. To analyse whether such proposed systems indicate improvements for the environment and its sustainability, systems analysis is a useful method. The changes in environmental impact and resource use is not only a result of changes in waste treatment methods, but also largely a result of changes in surrounding systems (energy and agriculture) caused by changes in waste management practices. In order to perform a systems analysis, a substance-flow simulation model, the organic waste research model (ORWARE), has been used. The results are evaluated by using methodology from life cycle assessment (LCA). An economic analysis was also performed on three of the studied scenarios. The management system for solid organic waste and sewage in the municipality of Uppsala, Sweden, was studied. Three scenarios for different treatments of solid waste were analysed: incineration with heat recovery, composting, and anaerobic digestion. These three scenarios included conventional sewage treatment. A fourth scenario reviewed was anaerobic digestion of solid waste, using urine-separating toilets and separate handling of the urine fraction. The results are only valid for the case study and under the assumptions made. In this case study anaerobic digestion result in the lowest environmental impact of all the solid waste management systems, but is costly. Economically, incineration with heat recovery is the cheapest way to treat solid waste. Composting gives environmental advantages compared to incineration methods, without significantly increased costs. Urine separation, which may be implemented together with any solid waste
Peterson, James T.
1999-12-01
Natural resource professionals are increasingly required to develop rigorous statistical models that relate environmental data to categorical responses data. Recent advances in the statistical and computing sciences have led to the development of sophisticated methods for parametric and nonparametric analysis of data with categorical responses. The statistical software package CATDAT was designed to make some of these relatively new and powerful techniques available to scientists. The CATDAT statistical package includes 4 analytical techniques: generalized logit modeling; binary classification tree; extended K-nearest neighbor classification; and modular neural network.
Comparative Analysis on Two Accounting Systems of Rural Economic Originations
2011-01-01
In order to normalize the financial account of two kinds of economic organizations,the comparative analysis is conducted on the Accounting System of Village Collective Economic Organization and Accounting System of Farmers’ Cooperatives(Trial) issued by the Ministry of Finance.The comparison points out that application and accounting principles of the two kinds of accounting systems are different.The differences and similarities of the five accounting elements are analyzed including property,liabilities,rights of owners,costs and profits and losses,as well as the reasons of the differences and similarities.Results show that both of the two accounting systems reflect the principles of simplification and clarification.The village collective accounting system works in rural village committee,which acts the administrative duties,the features of concerted benefits of it is showed.While the accounting system of farmers’ cooperatives is based on the village collective accounting system and combines the norms of accounting system of enterprises,so the system represents the demands of collaboration and profit-making.
Texting while driving as impulsive choice: A behavioral economic analysis.
Hayashi, Yusuke; Russo, Christopher T; Wirth, Oliver
2015-10-01
The goal of the present study was to examine the utility of a behavioral economic analysis to investigate the role of delay discounting in texting while driving. A sample of 147 college students completed a survey to assess how frequently they send and read text messages while driving. Based on this information, students were assigned to one of two groups: 19 students who frequently text while driving and 19 matched-control students who infrequently text while driving but were similar in gender, age, years of education, and years driving. The groups were compared on the extent to which they discounted, or devalued, delayed hypothetical monetary rewards using a delay-discounting task. In this task, students made repeated choices between $1000 available after a delay (ranging from 1 week to 10 years) and an equal or lesser amount of money available immediately. The results show that the students who frequently text while driving discounted delayed rewards at a greater rate than the matched control students. The study supports the conclusions that texting while driving is fundamentally an impulsive choice made by drivers, and that a behavioral economic approach may be a useful research tool for investigating the decision-making processes underlying risky behaviors.
Psychology of Economics in the Analysis of Consumer Behavior
José Jonas Alves Correia
2017-06-01
Full Text Available Psychology of Economics addresses issues far beyond market research. Thus, studies in this area also observe variables such as work, unemployment, decisions about purchases and savings, investments, financing, responses to advertising, among others. The present research was carried out with the objective of analyzing, through the fundamentals of consumer behavior, its relation to the propensity for compulsive or superfluous consumption. This quantitative study relates, using as means of phenomena and variables a description of the consumers behavior through the statistical tool Propensity Score Matching of Stata software. A semi-structured questionnaire was used to collect the data, which was applied online from April to August in 2016. Data analysis was performed by the Ordinary Least Squares (OLS regression with controlled dummy variables (dependent variable, whether or not it belongs to the consumer group Compulsive by the set of explanatory (independent variables. The results showed that the average monthly spending of compulsive consumers increases, and the higher the income of individuals, the greater the spending on unnecessary or superfluous consumption. Considering the gender variable, male individuals have higher levels of unnecessary spending and are prone to superfluous consumption. Thus, consumption is composed of influences for purchase and that the consumer determines consumption, according to economic position (income factor and cultural factors (customs, needs, impulsivities within the society.
ECONOMICAL ANALYSIS OF FLU VACCINE PREVENTION FOR CHILDREN AND TEENAGERS
D.Yu. Belousov
2007-01-01
Full Text Available This clinicalaeconomical analysis includes all possible treatament expenditures and possible profit from vaccinating chiladren and teenagers versus flue. It shoes that mass vaccination of children and teenagers will lead to lower disease incidence and mortality during epidemical rising of the disease and proavide significant economical effect both because of direct medaical expenses and because of collateral expenses. Collateral expenses are the main source of loss for the state of Russia from child and teenager flue and sars. Vaccination brings sick leaves and lost time payments down by 57%, expenses for treataing flue and sars together with their complications by 52%. In the Russian society total child and teenager vaccination appears as more profitable, for insurance companies as well. in this case insurance companies will be able to benefit from indirect medaical profit and, most probably, won't be needing state subsidizing for conducting total vaccination against flue of all citizens aged under 14. Antiaflue vaccination is feasible both in terms of clinical results and economic feasibility.Key words: pharmaeconomics, flue, sars, children, teenagers, vaccine prevention.
Economic viability analysis of carbon credits from sawmill residues
Padilha, Jesse Luis; Canto, Sergio Aruana Elarrat; Duarte, Andre Augusto Azevedo Montenegro; Nogueira, Manoel Fernandes Martins [Universidade Federal do Para (UFPA), Belem, PA (Brazil). Inst. de Tecnologia (ITEC)]. E-mails: jessepadilha@hotmail.com; aruana@ufpa.br; amonte@ufpa.br; mfmn@ufpa.br
2008-07-01
Discussions on climate change began in Rio de Janeiro in the 1992 Conference on Poverty and the Environment, and since that time this problem has gained significant importance. A great advance in these discussions was made at the Kyoto Conference when Clean Development Mechanisms (CDM) were devised to reduce carbon dioxide emissions, such as Carbon Credits for the reduction of CO{sub 2} emissions. Brazil has an exceptionally fine position with respect to the Kyoto treaty since it is a naturally large biomass producer providing an option for gaining Carbon credits by substituting petroleum for biomass as a fuel for industries, such as the lumber industry. This study examines the economic viability of using bio-fuels in sawmills as a way to obtain CDM. Two approach are used here. First, the credits are obtained substituting diesel fuel for biomass and the second is without diesel fuel substitution. For these analyses, economic simulations were made with, Net Present Value (NPV), Internal Rate of Return (IRR) and Payback. Furthermore, sensibility analysis for alternative scenario were performed. (author)
Notes on economic time series analysis system theoretic perspectives
Aoki, Masanao
1983-01-01
In seminars and graduate level courses I have had several opportunities to discuss modeling and analysis of time series with economists and economic graduate students during the past several years. These experiences made me aware of a gap between what economic graduate students are taught about vector-valued time series and what is available in recent system literature. Wishing to fill or narrow the gap that I suspect is more widely spread than my personal experiences indicate, I have written these notes to augment and reor ganize materials I have given in these courses and seminars. I have endeavored to present, in as much a self-contained way as practicable, a body of results and techniques in system theory that I judge to be relevant and useful to economists interested in using time series in their research. I have essentially acted as an intermediary and interpreter of system theoretic results and perspectives in time series by filtering out non-essential details, and presenting coherent accounts of wha...
Posada, John; Brentner, Laura; Ramirez, Andrea; Patel, Martin
2016-01-01
This study covers four main aspects of the conceptual design of sustainable integrated microalgae-based biorefineries using flue gas from CO2-intensive industries (i.e. 100% CO2): i) screening of technologies (4 options for cultivation, 3 for culture dewatering, 3 for cell disruption, 4 for lipids
Posada, John A.; Brentner, Laura B.; Ramirez, Andrea|info:eu-repo/dai/nl/284852414; Patel, Martin K.
This study covers four main aspects of the conceptual design of sustainable integrated microalgae-based biorefineries using flue gas from CO2-intensive industries (i.e. 100% CO2): i) screening of technologies (4 options for cultivation, 3 for culture dewatering, 3 for cell disruption, 4 for lipids
Posada, John A.; Brentner, Laura B.; Ramirez, Andrea; Patel, Martin K.
2016-01-01
This study covers four main aspects of the conceptual design of sustainable integrated microalgae-based biorefineries using flue gas from CO2-intensive industries (i.e. 100% CO2): i) screening of technologies (4 options for cultivation, 3 for culture dewatering, 3 for cell disruption, 4 for lipids e
Posada, John; Brentner, Laura; Ramirez, Andrea; Patel, Martin
2016-01-01
This study covers four main aspects of the conceptual design of sustainable integrated microalgae-based biorefineries using flue gas from CO2-intensive industries (i.e. 100% CO2): i) screening of technologies (4 options for cultivation, 3 for culture dewatering, 3 for cell disruption, 4 for lipids e
A. Chiran; Elena Gîndu; A.F. Jităreanu; C.R. Vîntu; Adriana Măgureanu
2015-01-01
.... The authors have based the research on the technical-economic and financial analysis of investments, which sets economic efficiency and investments viability and assumes forecast of revenue, expenses...
Robust and Efficient Parametric Face Alignment
Tzimiropoulos, Georgios; Zafeiriou, Stefanos; Pantic, Maja
2011-01-01
We propose a correlation-based approach to parametric object alignment particularly suitable for face analysis applications which require efficiency and robustness against occlusions and illumination changes. Our algorithm registers two images by iteratively maximizing their correlation coefficient
Controlling Parametric Resonance
Galeazzi, Roberto; Pettersen, Kristin Ytterstad
2012-01-01
Parametric resonance is a resonant phenomenon which takes place in systems characterized by periodic variations of some parameters. While seen as a threatening condition, whose onset can drive a system into instability, this chapter advocates that parametric resonance may become an advantage if t...
COMPARATIVE ANALYSIS OF VAT EVOLUTION IN THE EUROPEAN ECONOMIC SYSTEM
MIHAELA ANDREEA STROE
2011-04-01
Full Text Available In this paper we study a comparative analysis of VAT in different states of the world. I made some observation on this theme because I believe that VAT is very important in carrying out transactions and the increase or decrease of this tax has a major impact upon national economies and also on the quality of life in developing countries. The papers has to pourpose to make a comparison between the American and European system of taxation with its advantages and disadvantages and, in the end to render an economic model and its statistics components. VAT is a value added tax which appeared about 50 years, initially with two purposes: one to replace certain indirect taxes, and another to reduce the budget deficit according to the faith of that time. The first country that has adopted this model was France, calling it today as value-added tax.
COMPARATIVE ANALYSIS OF VAT EVOLUTION IN THE EUROPEAN ECONOMIC SYSTEM
Mihaela Andreea STROE
2011-08-01
Full Text Available In this paper we study a comparative analysis of VAT in different states of the world. I made some observation on this theme because I believe that VAT is very important in carrying out transactions and the increase or decrease of this tax has a major impact upon national economies and also on the quality of life in developing countries. The papers has to pourpose to make a comparison between the American and European system of taxation with its advantages and disadvantages and, in the end to render an economic model and its statistics components. VAT is a value added tax which appeared about 50 years, initially with two purposes: one to replace certain indirect taxes, and another to reduce the budget deficit according to the faith of that time. The first country that has adopted this model was France, calling it today as value-added tax.
An Approach for Economic Analysis of Intermodal Transportation
Bahri Sahin
2014-01-01
Full Text Available A different intermodal transportation model based on cost analysis considering technical, economical, and operational parameters is presented. The model consists of such intermodal modes as sea-road, sea-railway, road-railway, and multimode of sea-road-railway. A case study of cargo transportation has been carried out by using the suggested model. Then, the single road transportation mode has been compared to intermodal modes in terms of transportation costs. This comparison takes into account the external costs of intermodal transportation. The research reveals that, in the short distance transportation, single transportation modes always tend to be advantageous. As the transportation distance gets longer, intermodal transportation advantages begin to be effective on the costs. In addition, the proposed method in this study leads to determining the fleet size and capacity for transportation and the appropriate transportation mode.
The October 1973 NASA mission model analysis and economic assessment
1974-01-01
Results are presented of the 1973 NASA Mission Model Analysis. The purpose was to obtain an economic assessment of using the Shuttle to accommodate the payloads and requirements as identified by the NASA Program Offices and the DoD. The 1973 Payload Model represents a baseline candidate set of future payloads which can be used as a reference base for planning purposes. The cost of implementing these payload programs utilizing the capabilities of the shuttle system is analyzed and compared with the cost of conducting the same payload effort using expendable launch vehicles. There is a net benefit of 14.1 billion dollars as a result of using the shuttle during the 12-year period as compared to using an expendable launch vehicle fleet.
LINGUISTIC ANALYSIS OF ECONOMIC TERMS IN CULTURAL CONTEXTS
Gurenkova, Y.V.
2017-06-01
Full Text Available This article is the result of a comparative analysis of five economic terms ("business", "competition", "salary", "boss", "profit" in the context of the culture of Russia and the United States. The research shows that some words were borrowed in both languages from different sources (for example, "salary", some of them were borrowed from one source (for example, "business", and some were received from own original words (for example, "profit", "boss". Comparison of cultural contexts and dictionary entries shows that the terms analyzed in this paper primarily help to understand how the two countries (Russia and the US can be culturally different. The study also illustrates how these terms have developed their own additional meanings, characteristic of their cultural and social development. Consequently, certain concepts can be transformed through the prism of a cultural vision of the world of different peoples.
An approach for economic analysis of intermodal transportation.
Sahin, Bahri; Yilmaz, Huseyin; Ust, Yasin; Guneri, Ali Fuat; Gulsun, Bahadir; Turan, Eda
2014-01-01
A different intermodal transportation model based on cost analysis considering technical, economical, and operational parameters is presented. The model consists of such intermodal modes as sea-road, sea-railway, road-railway, and multimode of sea-road-railway. A case study of cargo transportation has been carried out by using the suggested model. Then, the single road transportation mode has been compared to intermodal modes in terms of transportation costs. This comparison takes into account the external costs of intermodal transportation. The research reveals that, in the short distance transportation, single transportation modes always tend to be advantageous. As the transportation distance gets longer, intermodal transportation advantages begin to be effective on the costs. In addition, the proposed method in this study leads to determining the fleet size and capacity for transportation and the appropriate transportation mode.
An Economic Analysis of Identity and Career Choice
Humlum, Maria Knoth; Kleinjans, Kristin J.; Nielsen, Helena Skyt
2007-01-01
Standard economic models which focus on pecuniary payoffs cannot explain why there are highly able individuals who choose careers with low pecuniary re- turns. Therefore, financial incentives are unlikely to be effective in influencing career choices of these individuals. Based on Akerlof...... and Kranton (2000), we con- sider a model of career choice and identity where individuals derive non-pecuniary identity payoffs. Using factor analysis on a range of attitude questions, we find two factors related to identity (career orientation and social orientation), which are important for educational...... choices. The implication is that policymakers and institutions of higher education need to focus on identity related issues rather than just improved financial incentives if they aim at attracting the high ability youth to occupations with excess demand for labor....
An Analysis of the College's Economic Impact, 1996-2001.
Martin, Fred
This economic impact study examines the ways in which Pellissippi State Technical Community College (Tennessee) is a major contributor to the economic base of Knox and Blount Counties. The report is based on a standard model of economic impact modified for community colleges, and it uses conservative income and employment modifiers to determine…
An Analysis of Contributions and Contributors in Economic Education Research.
Marlin, James W., Jr.; Durden, Garey C.
1993-01-01
Reports on a study of 25 years of the content and contributors in economic education research. Finds that economic education has become a legitimate subfield within economics and has grown from mostly descriptive research to sophisticated mathematical and econometric models. (CFR)
Nielsen, Allan Aasbjerg
2001-01-01
As a supplement or an alternative to classification of hyperspectral image data linear and semi-parametric mixture models are considered in order to obtain estimates of abundance of each class or end-member in pixels with mixed membership. Full unmixing based on both ordinary least squares (OLS......) and non-negative least squares (NNLS), and the partial unmixing methods orthogonal subspace projection (OSP), constrained energy minimization (CEM) and an eigenvalue formulation alternative are dealt with. The solution to the eigenvalue formulation alternative proves to be identical to the CEM solution...
1980-06-01
ALSO USED AS WORKING ARRAY FOR SCPE C *CCMPUTATIONS * C B ASE - MCDEL SCLUTION WITH CELTA FOR PARAPETRIZATICN * C E UAL TO ZERO. C - OFIGINAL DEPAND...C CX7hNL E C C PEAC 7H E NIMIP ?F CELTA POINTS ANC THE DELTA VALUES. P EAC (NF, 201 L L 9 EAC (NF, 321) (DEL(I), I a 1, LIL) C C FPINT TAeL ES FCR...FCAt’AT (GISTATISTICS ON PARAMETRIZED ROWS WITH CELTA al, 149 IS PEFCENT.’, ///I 8C4 FCFNAT (’ISTATISTICS ON PARAVETRIZEO COLUMNS WITH CELTA ul, 14, 1
Nik Mizamzul Mehat
2014-01-01
Full Text Available The identification of optimal processing parameters is an important practice in the plastic injection moulding industry because of the significant effect of such parameters on plastic part quality and cost. However, the optimization design of injection moulding process parameters can be difficult because more than one quality characteristic is used in the evaluation. This study systematically develops a hybrid optimization method for multiple quality characteristics by integrating the Taguchi parameter design, grey relational analysis, and principal component analysis. A plastic gear is used to demonstrate the efficiency and validity of the proposed hybrid optimization method in controlling all influential injection moulding processing parameters during plastic gear manufacturing. To minimize the shrinkage behaviour in tooth thickness, addendum circle, and dedendum circle of moulded gear, the optimal combination of different process parameters is determined. The case study demonstrates that the proposed optimization method can produce plastic-moulded gear with minimum shrinkage behaviour of 1.8%, 1.53%, and 2.42% in tooth thickness, addendum circle, and dedendum circle, respectively; these values are less than the values in the main experiment. Therefore, shrinkage-related defects that lead to severe failure in plastic gears can be effectively minimized while satisfying the demand of the global plastic gear industry.
2015-01-01
In this paper we analyzed the effect of the accumulation of foreign exchange reserves to economic growth in emerging countries. In order to empirical estimates of the impact of foreign exchange reserves to economic growth in emerging countries, were collected annual data on real GDP per capita, share of investment in GDP and population from the database of the International Monetary Fund (IMF WEO) in October 2013, while data from the level of foreign exchange reserves statistics collected fro...
Los Alamos National Laboratory Economic Analysis Capability Overview
Boero, Riccardo [Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Information Systems and Modeling Group; Edwards, Brian Keith [Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Information Systems and Modeling Group; Pasqualini, Donatella [Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Information Systems and Modeling Group; Rivera, Michael Kelly [Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Information Systems and Modeling Group
2016-04-19
Los Alamos National Laboratory has developed two types of models to compute the economic impact of infrastructure disruptions. FastEcon is a fast running model that estimates first-order economic impacts of large scale events such as hurricanes and floods and can be used to identify the amount of economic activity that occurs in a specific area. LANL’s Computable General Equilibrium (CGE) model estimates more comprehensive static and dynamic economic impacts of a broader array of events and captures the interactions between sectors and industries when estimating economic impacts.
非参数化方法在 DNB 传递分析中的应用%Non-parametric Method Used in DNB Propagation Analysis
刘俊强; 黄禹
2014-01-01
Deciding the internal pressure probability distribution of the fuel rod is a fundamental work in the DNB propagation analysis using Monte Carlo method .The traditional parametric method is used to assume that the internal pressure probability of all rods can be characterized by a normal distribution .But this is not always the case , sometimes there is far more differences between normal distribution and the real one . However ,a new method ,the non-parametric method was used in the treatment of the rod internal pressure data because of its applicability anyw here and good precision in the case of large samples ,and the results show that it is more conservative to use non-parametric method than parametric method in DNB propagation analysis .%采用蒙特卡罗方法进行偏离泡核沸腾（DNB）传递分析中一个最基本的工作是确定燃料棒内压的概率分布。通常假设燃料棒的内压服从正态分布即传统的参数化方法。但燃料棒的内压不总是满足正态分布或与正态分布相差较远。为克服这一不足，本工作采用一种新的方法即非参数化的方法计算燃料棒内压的概率分布。通过对压水堆核电厂燃料棒内压数据的非参数化处理，得到燃料棒内压的概率分布并进行DNB传递分析。由计算结果得出：在DNB传递分析中，相较于参数化方法，采用非参数化方法所得的棒内压概率分布具有普遍适用性及大样本下的良好精度，分析结果更为保守、安全。
ABAQUS/Python在斜齿轮动态啮合分析中的应用研究%The Analysis of Helical Gear' Dynamic Mesh Based on Parametric
赵炜; 葛文杰
2012-01-01
In order to improve gear drive's parametric modeling and the efficiency of simulation analysis, a pair of helical gear parametric modeling procedure was established through the second development of capabilities of ABAQUS with Python. By constructing a contrastive analysis model based on the finite element method to study the revolving speed's effect on dynamic engagement performance and contract property of tooth surface in dynamic mesh. The calculating results showed that revolving speed has an influence on meshing area and length as well as gear surface contact stress.%为准确、高效地提高齿轮传动的仿真分析效率,利用Python语言对有限元软件ABAQUS进行了二次开发,实现齿轮动态啮合分析从建模到后处理的自动化处理.通过实例分析了一对斜齿轮的啮合时变刚度及转速对斜齿轮动态啮合性能的影响,结合理论分析验证了分析的准确性及高效性.
Economics of lifecycle analysis and greenhouse gas regulations
Rajagopal, Deepak
2009-11-01
Interest in alternatives to fossil fuels has risen significantly during the current decade. Although a variety of different alternative technologies have experienced rapid growth, biofuels have emerged as the main alternative transportation fuel. Energy policies in several countries envision blending biofuels with fossil fuels as the main mechanism to increase energy independence and energy security. Climate change policies in several regions are also riding on the same hope for reducing emissions from transportation. The main advantage of biofuels is that they are technically mature, cheaper to produce and more convenient to use relative to other alternative fuels. However, the impact of current biofuels on the environment and on economic welfare, is controversial. In my dissertation I focus on three topics relevant to future energy and climate policies. The first is the economics of lifecycle analysis and its application to the assessment of environmental impact of biofuel policies. The potential of biofuel for reducing greenhouse gas emissions was brought to the fore by research that relied on the methodology called lifecycle analysis (LCA). Subsequent research however showed that the traditional LCA fails to account for market-mediated effects that will arise when biofuel technologies are scaled up. These effects can increase or decrease emissions at each stage of the lifecycle. I discuss how the LCA will differ depending on the scale, a single firm versus a region and why LCA of the future should be distinguished from LCA of the past. I describe some approaches for extending the LCA methodology so that it can be applied under these different situations. The second topic is the economic impact of biofuels. Biofuels reduce the demand for oil and increase the demand for agricultural goods. To high income countries which tend to be both large importers of oil and large exporters of agricultural goods, this implies two major benefits. One of the one hand it reduces
Green roof valuation: a probabilistic economic analysis of environmental benefits.
Clark, Corrie; Adriaens, Peter; Talbot, F Brian
2008-03-15
Green (vegetated) roofs have gained global acceptance as a technologythat has the potential to help mitigate the multifaceted, complex environmental problems of urban centers. While policies that encourage green roofs exist atthe local and regional level, installation costs remain at a premium and deter investment in this technology. The objective of this paper is to quantitatively integrate the range of stormwater, energy, and air pollution benefits of green roofs into an economic model that captures the building-specific scale. Currently, green roofs are primarily valued on increased roof longevity, reduced stormwater runoff, and decreased building energy consumption. Proper valuation of these benefits can reduce the present value of a green roof if investors look beyond the upfront capital costs. Net present value (NPV) analysis comparing a conventional roof system to an extensive green roof system demonstrates that at the end of the green roof lifetime the NPV for the green roof is between 20.3 and 25.2% less than the NPV for the conventional roof over 40 years. The additional upfront investment is recovered at the time when a conventional roof would be replaced. Increasing evidence suggests that green roofs may play a significant role in urban air quality improvement For example, uptake of N0x is estimated to range from $1683 to $6383 per metric ton of NOx reduction. These benefits were included in this study, and results translate to an annual benefit of $895-3392 for a 2000 square meter vegetated roof. Improved air quality leads to a mean NPV for the green roof that is 24.5-40.2% less than the mean conventional roof NPV. Through innovative policies, the inclusion of air pollution mitigation and the reduction of municipal stormwater infrastructure costs in economic valuation of environmental benefits of green roofs can reduce the cost gap that currently hinders U.S. investment in green roof technology.
ECONOMIC AND ENERGETICAL ANALYSIS OF IMPROVED WASTE UTILIZATION PLASMA TECHNOLOGY
Serghei VAMBOL
2015-07-01
Full Text Available Purpose. Energy and economic evaluation of the improved plasma waste utilization technological process, as well as an expediency substantiation of the use of improved plasma technology by comparing its energy consumption with other thermal methods of utilization. Methodology. Analysis of existing modern and advanced methods of waste management and its impact on environmental safety. Considering of energy and monetary costs to implement two different waste management technologies. Results. Studies have shown regular gasification ensure greater heating value due to differences, a significant amount of nitrogen than for plasma gasification. From the point of view of minimizing energy and monetary costs and environmental safety more promising is to offer advanced technology for plasma waste. To carry out the energy assessment of the appropriateness of the considered technologies-comparative calculation was carried out at the standard conditions. This is because in the processing of waste produced useful products, such as liquefied methane, synthetic gas (94% methane and a fuel gas for heating, suitable for sale that provides cost-effectiveness of this technology. Originality. Shown and evaluated ecological and economic efficiency of proposed improved plasma waste utilization technology compared with other thermal techniques. Practical value. Considered and grounded of energy and monetary costs to implement two different waste management technologies, namely ordinary gasification and using plasma generators. Proposed plasma waste utilization technology allows to obtain useful products, such as liquefied methane, synthetic gas and a fuel gas for heating, which are suitable for sale. Plant for improved plasma waste utilization technological process allows to compensate the daily and seasonal electricity and heat consumption fluctuations by allowing the storage of obtained fuel products.
Economic Analysis of Vaccination Strategies for PRRS Control.
Daniel C L Linhares
Full Text Available Porcine reproductive and respiratory syndrome virus (PRRSv is a swine-specific pathogen that causes significant increases in production costs. When a breeding herd becomes infected, in an attempt to hasten control and elimination of PRRSv, some veterinarians have adopted a strategy called load-close-expose which consists of interrupting replacement pig introductions into the herd for several weeks (herd closure and exposing the whole herd to a replicating PRRSv to boost herd immunity. Either modified-live virus (MLV vaccine or live field-virus inoculation (FVI is used. This study consisted of partial budget analyses to compare MLV to FVI as the exposure method of load-close-expose program to control and eliminate PRRSv from infected breeding herds, and secondly to estimate benefit / cost of vaccinating sow herds preventatively. Under the assumptions used in this study, MLV held economic advantage over FVI. However, sensitivity analysis revealed that decreasing margin over variable costs below $ 47.32, or increasing PRRSv-attributed cost above $18.89 or achieving time-to-stability before 25 weeks resulted in advantage of FVI over MLV. Preventive vaccination of sow herds was beneficial when the frequency of PRRSv infection was at least every 2.1 years. The economics of preventative vaccination was minimally affected by cost attributed to field-type PRRSv infection on growing pigs or by the breeding herd productivity level. The models developed and described in this paper provide valuable tools to assist veterinarians in their efforts to control PRRSv.
Advanced High Temperature Reactor Systems and Economic Analysis
Holcomb, David Eugene [ORNL; Peretz, Fred J [ORNL; Qualls, A L [ORNL
2011-09-01
The Advanced High Temperature Reactor (AHTR) is a design concept for a large-output [3400 MW(t)] fluoride-salt-cooled high-temperature reactor (FHR). FHRs, by definition, feature low-pressure liquid fluoride salt cooling, coated-particle fuel, a high-temperature power cycle, and fully passive decay heat rejection. The AHTR's large thermal output enables direct comparison of its performance and requirements with other high output reactor concepts. As high-temperature plants, FHRs can support either high-efficiency electricity generation or industrial process heat production. The AHTR analysis presented in this report is limited to the electricity generation mission. FHRs, in principle, have the potential to be low-cost electricity producers while maintaining full passive safety. However, no FHR has been built, and no FHR design has reached the stage of maturity where realistic economic analysis can be performed. The system design effort described in this report represents early steps along the design path toward being able to predict the cost and performance characteristics of the AHTR as well as toward being able to identify the technology developments necessary to build an FHR power plant. While FHRs represent a distinct reactor class, they inherit desirable attributes from other thermal power plants whose characteristics can be studied to provide general guidance on plant configuration, anticipated performance, and costs. Molten salt reactors provide experience on the materials, procedures, and components necessary to use liquid fluoride salts. Liquid metal reactors provide design experience on using low-pressure liquid coolants, passive decay heat removal, and hot refueling. High temperature gas-cooled reactors provide experience with coated particle fuel and graphite components. Light water reactors (LWRs) show the potentials of transparent, high-heat capacity coolants with low chemical reactivity. Modern coal-fired power plants provide design experience
Speck, D E
2008-04-28
The Multiscale Epidemiologic/Economic Simulation and Analysis (MESA) Decision Support System (DSS) is the product of investments that began in FY05 by the Department of Homeland Security (DHS) Science and Technology Directorate and continue today with joint funding by both DHS and the US Department of Agriculture (USDA). The DSS consists of a coupled epidemiologic/economic model, a standalone graphical user interface (GUI) that supports both model setup and post-analysis, and a Scenario Bank archive to store all content related to foreign animal disease (FAD) studies. The MESA epi model is an object-oriented, agent-based, stochastic, spatio-temporal simulator that parametrically models FAD outbreaks and response strategies from initial disease introduction to conclusion over local, regional, and national scales. Through its output database, the epi model couples to an economic model that calculates farm-level impacts from animal infections, responsive control strategies and loss of trade. The MESA architecture contains a variety of internal models that implement the major components of the epi simulation, including disease introduction, intra-herd spread, inter-herd spread (direct and indirect), detection, and various control strategies (movement restrictions, culling, vaccination) in a highly configurable and extensible fashion. MESA development was originally focused to support investigations into the economic and agricultural industry impacts associated with Foot-and-Mouth Disease (FMD outbreaks). However, it has been adapted to other FADs such has Highly Pathogenic Avian Influenza (HPAI), Classical Swine Fever (CSF) and Exotic Newcastle Disease (END). The MESA model is highly parameterized and employs an extensible architecture that permits straightforward addition of new component models (e.g., alternative disease spread approaches) when necessary. Since its inception, MESA has been developed with a requirement to enable simulation of the very large scale
Economic Analysis Case Studies of Battery Energy Storage with SAM
DiOrio, Nicholas [National Renewable Energy Lab. (NREL), Golden, CO (United States); Dobos, Aron [National Renewable Energy Lab. (NREL), Golden, CO (United States); Janzou, Steven [National Renewable Energy Lab. (NREL), Golden, CO (United States)
2015-11-01
Interest in energy storage has continued to increase as states like California have introduced mandates and subsidies to spur adoption. This energy storage includes customer sited behind-the-meter storage coupled with photovoltaics (PV). This paper presents case study results from California and Tennessee, which were performed to assess the economic benefit of customer-installed systems. Different dispatch strategies, including manual scheduling and automated peak-shaving were explored to determine ideal ways to use the storage system to increase the system value and mitigate demand charges. Incentives, complex electric tariffs, and site specific load and PV data were used to perform detailed analysis. The analysis was performed using the free, publically available System Advisor Model (SAM) tool. We find that installation of photovoltaics with a lithium-ion battery system priced at $300/kWh in Los Angeles under a high demand charge utility rate structure and dispatched using perfect day-ahead forecasting yields a positive net-present value, while all other scenarios cost the customer more than the savings accrued. Different dispatch strategies, including manual scheduling and automated peak-shaving were explored to determine ideal ways to use the storage system to increase the system value and mitigate demand charges. Incentives, complex electric tariffs, and site specific load and PV data were used to perform detailed analysis. The analysis was performed using the free, publically available System Advisor Model (SAM) tool. We find that installation of photovoltaics with a lithium-ion battery system priced at $300/kWh in Los Angeles under a high demand charge utility rate structure and dispatched using perfect day-ahead forecasting yields a positive net-present value, while all other scenarios cost the customer more than the savings accrued.
Kristiansen Ivar S
2011-08-01
Full Text Available Abstract Background To preserve patient anonymity, health register data may be provided as binned data only. Here we consider as example, how to estimate mean survival time after a diagnosis of metastatic colorectal cancer from Norwegian register data on time to death or censoring binned into 30 day intervals. All events occurring in the first three months (90 days after diagnosis were removed to achieve comparability with a clinical trial. The aim of the paper is to develop and implement a simple, and yet flexible method for analyzing such interval censored and truncated data. Methods Considering interval censoring a missing data problem, we implement a simple multiple imputation strategy that allows flexible sensitivity analyses with respect to the shape of the censoring distribution. To allow identification of appropriate parametric models, a χ2-goodness-of-fit test--also imputation based--is derived and supplemented with diagnostic plots. Uncertainty estimates for mean survival times are obtained via a simulation strategy. The validity and statistical efficiency of the proposed method for varying interval lengths is investigated in a simulation study and compared with simpler alternatives. Results Mean survival times estimated from the register data ranged from 1.2 (SE = 0.09 to 3.2 (0.31 years depending on period of diagnosis and choice of parametric model. The shape of the censoring distribution within intervals did generally not influence results, whereas the choice of parametric model did, even when different models fit the data equally well. In simulation studies both simple midpoint imputation and multiple imputation yielded nearly unbiased analyses (relative biases of -0.6% to 9.4% and confidence intervals with near-nominal coverage probabilities (93.4% to 95.7% for censoring intervals shorter than six months. For 12 month censoring intervals, multiple imputation provided better protection against bias, and coverage probabilities
An Analysis of the Correlation between the Economic Barometer and the Postal Service
无
2002-01-01
There are many economic factors that can influence the postal market. In this paper, by adopting the method of quantitative analysis, the author analyse exhaustively the economic factors that influence the postal market and the internal relations between the economic factors and the postal market.
A Comparison of Parametric and Non-Parametric Methods Applied to a Likert Scale.
Mircioiu, Constantin; Atkinson, Jeffrey
2017-05-10
A trenchant and passionate dispute over the use of parametric versus non-parametric methods for the analysis of Likert scale ordinal data has raged for the past eight decades. The answer is not a simple "yes" or "no" but is related to hypotheses, objectives, risks, and paradigms. In this paper, we took a pragmatic approach. We applied both types of methods to the analysis of actual Likert data on responses from different professional subgroups of European pharmacists regarding competencies for practice. Results obtained show that with "large" (>15) numbers of responses and similar (but clearly not normal) distributions from different subgroups, parametric and non-parametric analyses give in almost all cases the same significant or non-significant results for inter-subgroup comparisons. Parametric methods were more discriminant in the cases of non-similar conclusions. Considering that the largest differences in opinions occurred in the upper part of the 4-point Likert scale (ranks 3 "very important" and 4 "essential"), a "score analysis" based on this part of the data was undertaken. This transformation of the ordinal Likert data into binary scores produced a graphical representation that was visually easier to understand as differences were accentuated. In conclusion, in this case of Likert ordinal data with high response rates, restraining the analysis to non-parametric methods leads to a loss of information. The addition of parametric methods, graphical analysis, analysis of subsets, and transformation of data leads to more in-depth analyses.
Bourdakis, Eleftherios; Kazanci, Ongun Berk; Péan, T.Q.
2017-01-01
03:00 and get activated when the temperature in the storage tank was below 21°C, 69.8°F, activate the heat pump no earlier than 05:00 and get activated when the temperature in the storage tank was below 15°C, 59°F, and lastly have a temperature difference between the output of the solar panels......The scope of this parametric simulation study was to identify the optimal combination of set-points for different parameters of a radiant PCM ceiling panels cooling system that will result in the best indoor thermal environment with the least possible energy use. The results showed that for each...
Singh, Shobhana; Sørensen, Kim; Condra, Thomas Joseph
2016-01-01
Heat transfer and pressure loss characteristics of a fin and tube heat exchanger are numerically investigated based on parametric fin geometry. The cross-flow type heat exchanger with circular tubes and rectangular fin profile is selected as a reference design. The fin geometry is varied using...... a design aspect ratio as a variable parameter in a range of 0.1-1.0 to predict the impact on overall performance of the heat exchanger. In this paper, geometric profiles with a constant thickness of fin base are studied. Three-dimensional, steady state CFD model is developed using commercially available...... are determined. The best performed geometric fin profile based on the higher heat transfer and lower pressure loss is predicted. The study provides insights into the impact of fin geometry on the heat transfer performance which help escalate the understanding of heat exchanger designing and manufacturing...
Koprulu, Kahraman G.; Aytur, Orhan
2001-06-01
We investigate the generation of amplitude-squeezed states with degenerate optical parametric amplifiers that are pumped by focused Gaussian beams. We present a model that facilitates the calculation of the squeezing level for an experimentally realistic configuration in which there is a Gaussian input signal beam that has the same confocal parameter and waist location as the Gaussian pump beam, with no restriction on the interaction length-to-confocal parameter ratio. We show that the 3-dB squeezing limit that was thought to be imposed by the Gaussian pump profile can be exceeded in the (previously uninvestigated) tight-focusing regime. We find the maximum possible amplitude squeezing in this regime to be 4.65 dB. However, it is possible to increase the squeezing level further by spatially filtering the tails of the output signal beam, resulting in squeezing levels in excess of 10 dB. {copyright} 2001 Optical Society of America
Robison, M. Henry; Christophersen, Kjell A.
2008-01-01
This analysis of the economic impacts generated by Canada's Colleges and Institutes is based on a sample of 61 colleges in 9 provinces, representing roughly two-fifths of the some 150 Colleges and Institutes in the country. The findings from the sample were used to generate results by inference for all colleges in Canada. Two major analyses are…
Robison, M. Henry; Christophersen, Kjell A.
2008-01-01
This analysis of the economic impacts generated by Canada's Colleges and Institutes is based on a sample of 61 colleges in 9 provinces, representing roughly two-fifths of the some 150 Colleges and Institutes in the country. The findings from the sample were used to generate results by inference for all colleges in Canada. Two major analyses are…
Ir Ascarya
2014-03-01
Full Text Available This study will measure and compare the efficiency of Conventional and Islamic banks in Indonesia using parametric approach stochastic frontier approach (SFA and distribution free approach (DFA. These measurements will provide comprehensive and robust results of efficiency of individual bank compare to its peer group. The results using parametric SFA show that in 2002, conventional banks (0.79 were slightly more efficient than Islamic banks (0.77, while in 2003, the efficiency of Islamic banks improved to 0.84 and the efficiency of conventional banks worsen to 0.76, so that Islamic banks have become more efficient than conventional banks. Conventional and Islamic banks have been improving and converged to the highest level of efficiency (1.00 since 2004. The DFA results show that conventional banks (0.89 are only slightly more efficient than Islamic banks (0.87. Conventional public bank (0.93 is the most efficient, while Islamic regional bank (0.84 is the least efficient. Moreover, efficient banks (conventional and Islamic do not always have lower OCOI (operating costs divided by operating income, while banks with better OCOI usually are more profitable (have better return on assets or ROA. Therefore, technically, Islamic banks have shown their readiness to compete head to head with their conventional counterparts. However, other aspects, such as, number of networks and branches, service quality, convenience, products and services provided, human resources, and pricing, should have become the next priorities for improvements.JEL Classification : C10, C33, G21, G28Keywords : Islamic Banking, Efficiency, Stochastic Frontier Approach, Distribution Free Approach
Karbon, Maria; Heinkelmann, Robert; Mora-Diaz, Julian; Xu, Minghui; Nilsson, Tobias; Schuh, Harald
2017-07-01
The radio sources within the most recent celestial reference frame (CRF) catalog ICRF2 are represented by a single, time-invariant coordinate pair. The datum sources were chosen mainly according to certain statistical properties of their position time series. Yet, such statistics are not applicable unconditionally, and also ambiguous. However, ignoring systematics in the source positions of the datum sources inevitably leads to a degradation of the quality of the frame and, therefore, also of the derived quantities such as the Earth orientation parameters. One possible approach to overcome these deficiencies is to extend the parametrization of the source positions, similarly to what is done for the station positions. We decided to use the multivariate adaptive regression splines algorithm to parametrize the source coordinates. It allows a great deal of automation, by combining recursive partitioning and spline fitting in an optimal way. The algorithm finds the ideal knot positions for the splines and, thus, the best number of polynomial pieces to fit the data autonomously. With that we can correct the ICRF2 a priori coordinates for our analysis and eliminate the systematics in the position estimates. This allows us to introduce also special handling sources into the datum definition, leading to on average 30 % more sources in the datum. We find that not only the CPO can be improved by more than 10 % due to the improved geometry, but also the station positions, especially in the early years of VLBI, can benefit greatly.
BEYOND BRICS – AN EMERGING MARKETS ECONOMIC ANALYSIS
Sebastian-Andrei LABES
2015-10-01
Full Text Available The rise of the BRICS – Jim O’Neill’s acronym that stands for Brazil, Russia, India, China and South Africa defining the flagship nations of emerging economies – it’s not the only economic success story of the emerging markets. In fact the five top emerging markets economies just started a trend, set a course for others to follow. The Next Eleven, as Goldman Sachs named the group of economies which have the highest potential of becoming world’s most important economies of the 21st century, are well aware of their advantages and downsides in the new global economic environment. The EU as a global player needs to cope with this rise of new poles of economic strength in order to maintain its economic powerhouse. The purpose of this paper is to analyze the rise of the Next Eleven from the EU perspective in terms of trade openness, macroeconomic stability and economic growth. The paper is divided into sections: Introduction, Literature review, Current trends in the world’s economy, Globalization Era: New poles of economic growth, Risks and opportunities for EU economic growth in the context of the new rising emerging markets, Current global economic-financial crisis implications on EU and The Next Eleven a final section with some Concluding remarks. The findings provided by this working paper are that European Union is facing major changes in the world’s economic environment and European economies are forced to adapt fast in both contexts of current global economic crisis and the rising importance of emerging markets. Moreover, the Next Eleven are a proof of the rapid changes in the global economy that affect not only the major Western economies but also the major economies of the newly developed nations, such as the BRICS. This phenomenon is part of the bigger picture – the globalization process of global economic stage.
Marius-Corneliu MARINAŞ
2010-11-01
Full Text Available The objective of this research is to identify, in the economic literature, the main factors which constrain the transmission of the fiscal shocks to the real economy. The interest in finding the most efficient fiscal stimuli in recovery the economies passing through crisis period has got increased as soon as the expansionary monetary policy promoted by most of the central banks has not generated an increase of the confidence in the private economic agents and, as a consequence, an increase of consumption and of the private investments. Even though it represents the Keynesian solution for recovery the economies which have been affected by the crisis, the fiscal expansion promoted during the recession periods does not generate the same expected positive effects any more (increase of consumption, significant decrease of unemployment, increase of revenues in economy, as they are conditioned by the reaction of the private economic agents to the fiscal stimuli. For example, the decision to decrease taxation may not automatically generate the significant increase of consumption (a condition for spreading the multiplier effect in economy, under the terms of pessimism or of the difficulty to access loans. As a result, the fiscal multipliers tend to be rather proper, and their value decreases more during the deep economic recession periods.
Cameron, Ewan
2013-01-01
In the second paper of this series we extend our Bayesian reanalysis of the evidence for a cosmic variation of the fine structure constant to the semi-parametric modelling regime. By adopting a mixture of Dirichlet processes prior for the unexplained errors in each instrumental subgroup of the benchmark quasar dataset we go some way towards freeing our model selection procedure from the apparent subjectivity of a fixed distributional form. Despite the infinite-dimensional domain of the error hierarchy so constructed we are able to demonstrate a recursive scheme for marginal likelihood estimation with prior-sensitivity analysis directly analogous to that presented in Paper I, thereby allowing the robustness of our posterior Bayes factors to hyper-parameter choice and model specification to be readily verified. In the course of this work we elucidate various similarities between unexplained error problems in the seemingly disparate fields of astronomy and clinical meta-analysis, and we highlight a number of sop...
The Music Industry as a Vehicle for Economic Analysis
Klein, Christopher C.
2015-01-01
Issues arising in the music industry in response to the availability of digital music files provide an opportunity for exposing undergraduate students to economic analyses rarely covered in the undergraduate economics curriculum. Three of these analyses are covered here: the optimal copyright term, the effect of piracy or illegal file sharing, and…
The Music Industry as a Vehicle for Economic Analysis
Klein, Christopher C.
2015-01-01
Issues arising in the music industry in response to the availability of digital music files provide an opportunity for exposing undergraduate students to economic analyses rarely covered in the undergraduate economics curriculum. Three of these analyses are covered here: the optimal copyright term, the effect of piracy or illegal file sharing, and…
[Methodological aspects of a political-economic analysis of population].
Lisina, N V; Ruzavina, E I
1988-01-01
The authors examine the role of political and economic factors in the study of population issues, with a focus on the relationship between demographic factors and the standard of living of a society. Attention is paid to the division of the population into the economically active and the inactive.
Dietary balanced protein in broiler chickens. 2. An economic analysis
Eits, R.M.; Giesen, G.W.J.; Kwakkel, R.P.; Verstegen, M.W.A.; Hartog, den L.A.
2005-01-01
1. An economic model was developed that calculates economic optimal dietary balanced protein (DBP) contents for broiler chickens, based on performance input and prices of meat and feed. 2. Input on broiler responses to DBP content (growth rate, feed conversion, carcase yield and breast meat yield) w
1/31 BETWEEN ECONOMIC AND LEGAL ANALYSIS OF ...
Administrator
of contract - the buyer of a slave who is less than a philosopher or who is unwilling to ... 'value' within an economic context, different economic formulas or ratios are used to ...... For instance, the criticism on Darwin's evolution theory why man is ...
Economic Analysis of Traffic Flow with an Evolution Equation
冯苏苇
2005-01-01
Based on two main hypotheses of traffic economical equilibrium and the relationship between traffic density and the demand, an evolution equation of traffic cost was proposed to describe the change of cost under decreasing toll. Economical explanation of the model and a numerical case were given to demonstrate the constraint between the marginal traffic demand and the flow velocity.
Biobank Finances: A Socio-Economic Analysis and Review.
Gee, Sally; Oliver, Rob; Corfield, Julie; Georghiou, Luke; Yuille, Martin
2015-12-01
This socio-economic study is based on the widely held view that there is an inadequate supply of human biological samples that is hampering biomedical research development and innovation (RDI). The potential value of samples and the associated data are thus not being realized. We aimed to examine whether the financing of biobanks contributes to this problem and then to propose a national solution. We combined three methods: a qualitative case study; literature analysis; and informal consultations with experts. The case study enabled an examination of the complex institutional arrangements for biobanks, with a particular focus on cost models. For the purposes of comparison, a typology for biobanks was developed using the three methods. We found that it is not possible to apply a standard cost model across the diversity of biobanks, and there is a deficit in coordination and sustainability and an excess of complexity. We propose that coordination across this diversity requires dedicated resources for a national biobanking distributed research infrastructure. A coordination center would establish and improve standards and support a national portal for access. This should be financed centrally by public funds, possibly supplemented by industrial funding. We propose that: a) sample acquisition continues to be costed into projects and project proposals to ensure biobanking is driven by research needs; b) core biobanking activities and facilities be supported by central public funds distributed directly to host public institutions; and c) marginal costs for access be paid for by the user.
Economic analysis of open space box model utilization in spacecraft
Mohammad, Atif F.; Straub, Jeremy
2015-05-01
It is a known fact that the amount of data about space that is stored is getting larger on an everyday basis. However, the utilization of Big Data and related tools to perform ETL (Extract, Transform and Load) applications will soon be pervasive in the space sciences. We have entered in a crucial time where using Big Data can be the difference (for terrestrial applications) between organizations underperforming and outperforming their peers. The same is true for NASA and other space agencies, as well as for individual missions and the highly-competitive process of mission data analysis and publication. In most industries, conventional opponents and new candidates alike will influence data-driven approaches to revolutionize and capture the value of Big Data archives. The Open Space Box Model is poised to take the proverbial "giant leap", as it provides autonomic data processing and communications for spacecraft. We can find economic value generated from such use of data processing in our earthly organizations in every sector, such as healthcare, retail. We also can easily find retailers, performing research on Big Data, by utilizing sensors driven embedded data in products within their stores and warehouses to determine how these products are actually used in the real world.
Investigation of Sorption and Diffusion Mechanisms, and Preliminary Economic Analysis
Bhave, Ramesh R. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Jubin, Robert Thomas [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Spencer, Barry B. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Nair, Sankar [Georgia Inst. of Technology, Atlanta, GA (United States)
2017-02-01
This report describes the synthesis and evaluation of molecular sieve zeolite membranes to separate and concentrate tritiated water (HTO) from dilute HTO-bearing aqueous streams. Several monovalent and divalent cation exchanged silico alumino phosphate (SAPO-34) molecular sieve zeolite membranes were synthesized on disk supports and characterized with gas and vapor permeation measurements. The pervaporation process performance was evaluated for the separation and concentration of tritiated water. Experiments were performed using tritiated water feed solution containing tritium at the high end of the range (1 mCi/mL) anticipated in a nuclear fuel processing system that includes both acid and water streams recycling. The tritium concentration was about 0.1 ppm. The permeate was recovered under vacuum. The HTO/H2O selectivity and separation factor calculated from the measured tritium concentrations ranged from 0.99 to 1.23, and 0.83-0.98, respectively. Although the membrane performance for HTO separation was lower than expected, several encouraging observations including molecular sieving and high vapor permeance are reported. Additionally, several new approaches are proposed, such as tuning the sorption and diffusion properties offered by small pore LTA zeolite materials, and cation exchanged aluminosilicates with high metal loading. It is hypothesized that substantially improved preferential transport of tritium (HTO) resulting in a more concentrated permeate can be achieved. Preliminary economic analysis for the membrane-based process to concentrate tritiated water is also discussed.
Environmental and Economic Analysis of Thermal Active Building System
Paulo Fabiano Reis Lessa
2016-05-01
Full Text Available This paper is regarding one promising technological solution – which is so called Thermal Active Building Systems (TABS –for one of the most critical problems both in environmental and economic aspects, which is the raising energy consumption. Buildings are the principal application target of the solution once that population spends most part of their time inside them. Therefore, more energy is required to supply an increasingly demand in lighting, air conditioning, heating, electronic devices and so on. In this context, TABS emerge like a possible solution. To ensure the system efficiency or, in other words, prove its viability, it will be applied an environmental management tool (SWOT Analysis weighting all the pros and comparing with its drawbacks, based on previous experiences in implantation of such system, available in literature. A basic theoretical background, which is extremely important to a better comprehension of the system, covering both engineering and environmental management areas, is presented on this paper. Results shown that TABS are efficient mechanisms in the reduction of power consumption, committed with sustainable development, and which worth the investments in a Life Cycle Cost evaluation
Network Non-neutrality Debate: An Economic Analysis
Altman, Eitan; Xu, Yuedong
2010-01-01
This paper studies the economic utilities and the quality of service (QoS) in a two-sided non-neutral market where Internet service providers (ISPs) charge content providers (CPs) for the content delivery. We propose new models on a two-sided market which involves a CP, an ISP, end users and advertisers. The CP may have either the subscription revenue model (charging end users) or the advertisement revenue model (charging advertisers). We formulate the interactions between the ISP and the CP as a noncooperative game problem for the former and an optimization problem for the latter. Our analysis shows that the revenue model of the CP plays a significant role in a non-neutral Internet. With the subscription model, both the ISP and the CP receive better (or worse) utilities as well as QoS in the presence of side payment at the same time. However, with the advertisement model, the side payment impedes the CP from investing on its contents.
Energy and economic analysis of biogas heated livestock buildings
Axaopoulos, P.; Panagakis, P. [Agricultural University of Athens (Greece). Laboratory of Farm Structures
2003-03-01
The possibility to cover the annual space-heating requirements of a typical swine nursery by the methane produced using a solar-assisted anaerobic digester of innovative design, is studied for two Greek areas. Simulation is used to predict the hourly temperature and relative humidity inside the early-weaned piglet unit, along with the heating energy requirements to keep indoor conditions within pigs' production space. The methane produced by the solar- assisted anaerobic digester is also calculated using a detailed simulation algorithm. The results showed that the methane produced from the solar-assisted anaerobic digester completely ensures not only full coverage of the annual space-heating requirements of the described piglet unit for both Greek areas, but also large methane surplus which could be used in various other ways. A simple sensitivity analysis concerning the economics of the solar-assisted anaerobic digester indicated that its profitability strongly depends on to what extent the produced methane is used. (author)
Techno Economic Analysis of Hydrogen Production by gasification of biomass
Francis Lau
2002-12-01
general term, and includes heating as well as the injection of other ''ingredients'' such as oxygen and water. Pyrolysis alone is a useful first step in creating vapors from coal or biomass that can then be processed in subsequent steps to make liquid fuels. Such products are not the objective of this project. Therefore pyrolysis was not included in the process design or in the economic analysis. High-pressure, fluidized bed gasification is best known to GTI through 30 years of experience. Entrained flow, in contrast to fluidized bed, is a gasification technology applied at much larger unit sizes than employed here. Coal gasification and residual oil gasifiers in refineries are the places where such designs have found application, at sizes on the order of 5 to 10 times larger than what has been determined for this study. Atmospheric pressure gasification is also not discussed. Atmospheric gasification has been the choice of all power system pilot plants built for biomass to date, except for the Varnamo plant in Sweden, which used the Ahlstrom (now Foster Wheeler) pressurized gasifier. However, for fuel production, the disadvantage of the large volumetric flows at low pressure leads to the pressurized gasifier being more economical.
Economic Pressure, Parent Personality and Child Development: An Interactionist Analysis
Conger, Rand D.; Schofield, Thomas K.; Conger, Katherine J.; Neppl, Tricia K.
2010-01-01
The current economic downturn in the U.S. and around the world has refocused attention on the processes through which families and children are affected by economic hardship. This study examines the response to economic pressure of a cohort of youth first studied 20 years ago as adolescents and now grown to adulthood. A total of 271 of the original G2 adolescents (M age = 25.6 years) participated in the study with their young child (G3, M age = 2.31 years at the first time of assessment) and the child’s other parent in 81% of the cases. Data analyses were guided by the interactionist model which proposed that positive G2 personality attributes during adolescence would predict lower economic pressure during adulthood and would diminish the negative family processes related to economic pressure expected to disrupt competent G3 development. The findings were consistent with this social selection aspect of the interactionist model. The model also predicted that economic pressure and other aspects of the related family stress process would affect G3 development net of earlier G2 personality. This social causation aspect of the interactionist model also received support. The findings suggest that the relationship between economic conditions and child development reflect a dynamic process of selection and causation that plays out over time and generations. PMID:21209795
Alfieri, Luisa
2015-12-01
Power quality (PQ) disturbances are becoming an important issue in smart grids (SGs) due to the significant economic consequences that they can generate on sensible loads. However, SGs include several distributed energy resources (DERs) that can be interconnected to the grid with static converters, which lead to a reduction of the PQ levels. Among DERs, wind turbines and photovoltaic systems are expected to be used extensively due to the forecasted reduction in investment costs and other economic incentives. These systems can introduce significant time-varying voltage and current waveform distortions that require advanced spectral analysis methods to be used. This paper provides an application of advanced parametric methods for assessing waveform distortions in SGs with dispersed generation. In particular, the Standard International Electrotechnical Committee (IEC) method, some parametric methods (such as Prony and Estimation of Signal Parameters by Rotational Invariance Technique (ESPRIT)), and some hybrid methods are critically compared on the basis of their accuracy and the computational effort required.
Economic analysis of the health impacts of housing improvement studies: a systematic review
Fenwick, Elisabeth; Macdonald, Catriona; Thomson, Hilary
2013-01-01
Background Economic evaluation of public policies has been advocated but rarely performed. Studies from a systematic review of the health impacts of housing improvement included data on costs and some economic analysis. Examination of these data provides an opportunity to explore the difficulties and the potential for economic evaluation of housing. Methods Data were extracted from all studies included in the systematic review of housing improvement which had reported costs and economic analysis (n=29/45). The reported data were assessed for their suitability to economic evaluation. Where an economic analysis was reported the analysis was described according to pre-set definitions of various types of economic analysis used in the field of health economics. Results 25 studies reported cost data on the intervention and/or benefits to the recipients. Of these, 11 studies reported data which was considered amenable to economic evaluation. A further four studies reported conducting an economic evaluation. Three of these studies presented a hybrid ‘balance sheet’ approach and indicated a net economic benefit associated with the intervention. One cost-effectiveness evaluation was identified but the data were unclearly reported; the cost-effectiveness plane suggested that the intervention was more costly and less effective than the status quo. Conclusions Future studies planning an economic evaluation need to (i) make best use of available data and (ii) ensure that all relevant data are collected. To facilitate this, economic evaluations should be planned alongside the intervention with input from health economists from the outset of the study. When undertaken appropriately, economic evaluation provides the potential to make significant contributions to housing policy. PMID:23929616
Economic risk analysis and critical comparison of optimal biorefinery concepts
Cheali, Peam; Posada, John A.; Gernaey, Krist
2016-01-01
In this paper, eight optimal biorefinery concepts for biofuels and biochemicals production are critically analyzed and compared in terms of their techno-economic performance and associated economic risks against historical market fluctuations. The investigated biorefinery concepts consider......, whereas the thermochemical conversion platform is favored for a relatively larger production capacity; and (iv) the microalgae-based biorefinery concept performed worse in terms of economics compared to the others, which is largely due to the cost of algae production and harvesting. In general, we...
OTC Derivatives and Global Economic Activity: An Empirical Analysis
Gordon Bodnar
2017-06-01
Full Text Available That the global market for derivatives has expanded beyond recognition is well known. What is not know is how this market interacts with economic activity. We provide the first empirical characterization of interdependencies between OECD economic activity and the global OTC derivatives market. To this end, we apply a vector-error correction model to OTC derivatives disaggregated across instruments and counterparties. The results indicate that with one exception, the heterogeneity of OTC contracts is too pronounced to be reliably summarized by our measures of economic activity. The one exception is interest-rate derivatives held by Other Financial Institutions.
Economic Analysis of the Radio Spectrum for Regulatory Purposes
Falch, Morten; Tadayoni, Reza
the user value as long as there is no market for trade in frequency licenses. The economic value of the radio spectrum has been calculated for six different service applications (fixed links, Maritime and aeronautic applications, broadcasting services, mobile services, private mobile radio network services...... and military services). For each application the economic value is calculated for both use of the application and production of equipments related to each application. The paper draws on an extensive study of the economic value of the Danish radio spectrum prepared for the Danish Telecom Agency (Danish Telecom...
Empirical Analysis on the Determinants of Economic Growth in Shaanxi Province, China
2010-01-01
Status of economic development in Shaanxi Province is analyzed, showing that Shaanxi Province has achieved the fast and stable economic growth; and total GDP and fixed assets investment have shown a sustainable growth. According to the time series statistics of Shaanxi Province in the years 1978-2008, Cobb-Douglas Function is used to carry out the empirical analysis on the contribution of fixed assets investment and labor input to economic growth of Shaanxi Province, China. Result shows that capital and labor input are the major driving forces for the economic growth of Shaanxi Province. In other words, economic growth mode of Shaanxi Province is still extensive. Economic growth of Shaanxi Province is increasingly dependent on capital investment and technological progress. Contribution rates of capital and labor to economic growth are 66.9% and 33.1%, respectively. Therefore, investment is a source of economic growth in Shaanxi Province through the reform and opening up in the last three decades.
Parametric methods for spatial point processes
Møller, Jesper
(This text is submitted for the volume ‘A Handbook of Spatial Statistics' edited by A.E. Gelfand, P. Diggle, M. Fuentes, and P. Guttorp, to be published by Chapmand and Hall/CRC Press, and planned to appear as Chapter 4.4 with the title ‘Parametric methods'.) 1 Introduction This chapter considers...... inference procedures for parametric spatial point process models. The widespread use of sensible but ad hoc methods based on summary statistics of the kind studied in Chapter 4.3 have through the last two decades been supplied by likelihood based methods for parametric spatial point process models....... The increasing development of such likelihood based methods, whether frequentist or Bayesian, has lead to more objective and efficient statistical procedures. When checking a fitted parametric point process model, summary statistics and residual analysis (Chapter 4.5) play an important role in combination...
78 FR 59648 - Bureau of Economic Analysis Advisory Committee Meeting
2013-09-27
.... Requests for foreign language interpretation or other auxiliary aids should be directed to Gianna Marrone... recommendations from the perspectives of the economics profession, business, and government. This will be the...