Flexibility and Project Value: Interactions and Multiple Real Options
NASA Astrophysics Data System (ADS)
Čulík, Miroslav
2010-06-01
This paper is focused on a project valuation with embedded portfolio of real options including their interactions. Valuation is based on the criterion of Net Present Value on the simulation basis. Portfolio includes selected types of European-type real options: option to expand, contract, abandon and temporarily shut down and restart a project. Due to the fact, that in reality most of the managerial flexibility takes the form of portfolio of real options, selected types of options are valued not only individually, but also in combination. The paper is structured as follows: first, diffusion models for forecasting of output prices and variable costs are derived. Second, project value is estimated on the assumption, that no real options are present. Next, project value is calculated with the presence of selected European-type options; these options and their impact on project value are valued first in isolation and consequently in different combinations. Moreover, intrinsic value evolution of given real options with respect to the time of exercising is analysed. In the end, results are presented graphically; selected statistics and risk measures (Value at Risk, Expected Shortfall) of the NPV's distributions are calculated and commented.
Making real options really work.
van Putten, Alexander B; MacMillan, Ian C
2004-12-01
As a way to value growth opportunities, real options have had a difficult time catching on with managers. Many CFOs believe the method ensures the overvaluation of risky projects. This concern is legitimate, but abandoning real options as a valuation model isn't the solution. Companies that rely solely on discounted cash flow (DCF) analysis underestimate the value of their projects and may fail to invest enough in uncertain but highly promising opportunities. CFOs need not--and should not--choose one approach over the other. Far from being a replacement for DCF analysis, real options are an essential complement, and a project's total value should encompass both. DCF captures a base estimate of value; real options take into account the potential for big gains. This is not to say that there aren't problems with real options. As currently applied, they focus almost exclusively on the risks associated with revenues, ignoring the risks associated with a project's costs. It's also true that option valuations almost always ignore assets that an initial investment in a subsequently abandoned project will often leave the company. In this article, the authors present a simple formula for combining DCF and option valuations that addresses these two problems. Using an integrated approach, managers will, in the long run, select better projects than their more timid competitors while keeping risk under control. Thus, they will outperform their rivals in both the product and the capital markets.
The Fundamental Uncertainty of Business: Real Options
NASA Astrophysics Data System (ADS)
Dyer, James S.
The purpose of this paper is to discuss the manner in which uncertainty is currently evaluated in business, with an emphasis on economic measures. In recent years, the accepted approach for the valuation of capital investment decisions has become one based on the theory of real options. From the standpoint of this workshop, the interesting aspect of real options is its focus on the flexibility of management to respond to changes in the environment as a feature of an alternative that has unique value, known as "option value." While this may not be surprising to most participants in this workshop, it does represent a radical change in traditional thinking about risk in business, where efforts have primarily been focused on the elimination of risk when possible.
Nonlinear Schrödinger approach to European option pricing
NASA Astrophysics Data System (ADS)
Wróblewski, Marcin
2017-05-01
This paper deals with numerical option pricing methods based on a Schrödinger model rather than the Black-Scholes model. Nonlinear Schrödinger boundary value problems seem to be alternatives to linear models which better reflect the complexity and behavior of real markets. Therefore, based on the nonlinear Schrödinger option pricing model proposed in the literature, in this paper a model augmented by external atomic potentials is proposed and numerically tested. In terms of statistical physics the developed model describes the option in analogy to a pair of two identical quantum particles occupying the same state. The proposed model is used to price European call options on a stock index. the model is calibrated using the Levenberg-Marquardt algorithm based on market data. A Runge-Kutta method is used to solve the discretized boundary value problem numerically. Numerical results are provided and discussed. It seems that our proposal more accurately models phenomena observed in the real market than do linear models.
Application of Real Options Theory to DoD Software Acquisitions
2009-08-01
words.) The traditional real options valuation methodology, when enhanced and properly formulated around a proposed or existing software investment...Std 239-18 - ii - THIS PAGE INTENTIONALLY LEFT BLANK - iii - Abstract The traditional real options valuation ...founder and CEO of Real Options Valuation , Inc., a consulting, training, and software development firm specializing in strategic real options
Real options approach to inter-sectoral migration of U.S.farm labor
Gulcan Onel; Barry K. Goodwin
2014-01-01
The core of the literature on inter-sectoral labor migration is based on net present value models of investment in which individuals are assumed to migrate to take advantage of positive wage differentials. In this article, we argue that a real options approach, taken together with the adjustment costs associated with sectoral relocation, may provide a basis for...
Using real options analysis to support strategic management decisions
NASA Astrophysics Data System (ADS)
Kabaivanov, Stanimir; Markovska, Veneta; Milev, Mariyan
2013-12-01
Decision making is a complex process that requires taking into consideration multiple heterogeneous sources of uncertainty. Standard valuation and financial analysis techniques often fail to properly account for all these sources of risk as well as for all sources of additional flexibility. In this paper we explore applications of a modified binomial tree method for real options analysis (ROA) in an effort to improve decision making process. Usual cases of use of real options are analyzed with elaborate study on the applications and advantages that company management can derive from their application. A numeric results based on extending simple binomial tree approach for multiple sources of uncertainty are provided to demonstrate the improvement effects on management decisions.
NASA Astrophysics Data System (ADS)
Domercant, Jean Charles
The combination of today's national security environment and mandated acquisition policies makes it necessary for military systems to interoperate with each other to greater degrees. This growing interdependency results in complex Systems-of-Systems (SoS) that only continue to grow in complexity to meet evolving capability needs. Thus, timely and affordable acquisition becomes more difficult, especially in the face of mounting budgetary pressures. To counter this, architecting principles must be applied to SoS design. The research objective is to develop an Architecture Real Options Complexity-Based Valuation Methodology (ARC-VM) suitable for acquisition-level decision making, where there is a stated desire for more informed tradeoffs between cost, schedule, and performance during the early phases of design. First, a framework is introduced to measure architecture complexity as it directly relates to military SoS. Development of the framework draws upon a diverse set of disciplines, including Complexity Science, software architecting, measurement theory, and utility theory. Next, a Real Options based valuation strategy is developed using techniques established for financial stock options that have recently been adapted for use in business and engineering decisions. The derived complexity measure provides architects with an objective measure of complexity that focuses on relevant complex system attributes. These attributes are related to the organization and distribution of SoS functionality and the sharing and processing of resources. The use of Real Options provides the necessary conceptual and visual framework to quantifiably and traceably combine measured architecture complexity, time-valued performance levels, as well as programmatic risks and uncertainties. An example suppression of enemy air defenses (SEAD) capability demonstrates the development and usefulness of the resulting architecture complexity & Real Options based valuation methodology. Different portfolios of candidate system types are used to generate an array of architecture alternatives that are then evaluated using an engagement model. This performance data is combined with both measured architecture complexity and programmatic data to assign an acquisition value to each alternative. This proves useful when selecting alternatives most likely to meet current and future capability needs.
Study on Amortization Time and Rationality in Real Estate Investment
NASA Astrophysics Data System (ADS)
Li, Yancang; Zhou, Shujing; Suo, Juanjuan
Amortization time and rationality has been discussed a lot in real estate investment research. As the price of real estate is driven by Geometric Brown Motion (GBM), whether the mortgagors should amortize in advance has become a key issue in amortization time research. This paper presents a new method to solve the problem by using the optimal stopping time theory and option pricing theory models. We discuss the option value in amortizing decision based on this model. A simulation method is used to test this method.
Real options analysis for photovoltaic project under climate uncertainty
NASA Astrophysics Data System (ADS)
Kim, Kyeongseok; Kim, Sejong; Kim, Hyoungkwan
2016-08-01
The decision on photovoltaic project depends on the level of climate environments. Changes in temperature and insolation affect photovoltaic output. It is important for investors to consider future climate conditions for determining investments on photovoltaic projects. We propose a real options-based framework to assess economic feasibility of photovoltaic project under climate change. The framework supports investors to evaluate climate change impact on photovoltaic projects under future climate uncertainty.
NASA Astrophysics Data System (ADS)
Fujita, Yasunori
2007-09-01
Reformulation of economics by physics has been carried out intensively to reveal many features of the asset market, which were missed in the classical economic theories. The present paper attempts to shed new light on this field. That is, this paper aims at reformulating the international trade model by making use of the real option theory. Based on such a stochastic dynamic model, we examine how the fluctuation of the foreign exchange rate makes effect on the welfare of the exporting country.
32 CFR 644.168 - Exercise of options.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 32 National Defense 4 2010-07-01 2010-07-01 true Exercise of options. 644.168 Section 644.168... ESTATE HANDBOOK Acquisition Procurement of Options Prior to Real Estate Directives (military) § 644.168 Exercise of options. Upon issuance of a real estate directive for acquisition of the optioned real property...
NASA Astrophysics Data System (ADS)
Hozman, J.; Tichý, T.
2017-12-01
Stochastic volatility models enable to capture the real world features of the options better than the classical Black-Scholes treatment. Here we focus on pricing of European-style options under the Stein-Stein stochastic volatility model when the option value depends on the time, on the price of the underlying asset and on the volatility as a function of a mean reverting Orstein-Uhlenbeck process. A standard mathematical approach to this model leads to the non-stationary second-order degenerate partial differential equation of two spatial variables completed by the system of boundary and terminal conditions. In order to improve the numerical valuation process for a such pricing equation, we propose a numerical technique based on the discontinuous Galerkin method and the Crank-Nicolson scheme. Finally, reference numerical experiments on real market data illustrate comprehensive empirical findings on options with stochastic volatility.
Efficient option valuation of single and double barrier options
NASA Astrophysics Data System (ADS)
Kabaivanov, Stanimir; Milev, Mariyan; Koleva-Petkova, Dessislava; Vladev, Veselin
2017-12-01
In this paper we present an implementation of pricing algorithm for single and double barrier options using Mellin transformation with Maximum Entropy Inversion and its suitability for real-world applications. A detailed analysis of the applied algorithm is accompanied by implementation in C++ that is then compared to existing solutions in terms of efficiency and computational power. We then compare the applied method with existing closed-form solutions and well known methods of pricing barrier options that are based on finite differences.
32 CFR 644.168 - Exercise of options.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 32 National Defense 4 2014-07-01 2013-07-01 true Exercise of options. 644.168 Section 644.168... Exercise of options. Upon issuance of a real estate directive for acquisition of the optioned real property, the District or Division Engineer will exercise the option and proceed with the acquisition in...
32 CFR 644.168 - Exercise of options.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 32 National Defense 4 2011-07-01 2011-07-01 false Exercise of options. 644.168 Section 644.168... Exercise of options. Upon issuance of a real estate directive for acquisition of the optioned real property, the District or Division Engineer will exercise the option and proceed with the acquisition in...
32 CFR 644.168 - Exercise of options.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 32 National Defense 4 2012-07-01 2011-07-01 true Exercise of options. 644.168 Section 644.168... Exercise of options. Upon issuance of a real estate directive for acquisition of the optioned real property, the District or Division Engineer will exercise the option and proceed with the acquisition in...
32 CFR 644.168 - Exercise of options.
Code of Federal Regulations, 2013 CFR
2013-07-01
... 32 National Defense 4 2013-07-01 2013-07-01 false Exercise of options. 644.168 Section 644.168... Exercise of options. Upon issuance of a real estate directive for acquisition of the optioned real property, the District or Division Engineer will exercise the option and proceed with the acquisition in...
Lund, Mogens; Jensen, Jørgen Dejgård
2016-06-01
The aim of the article is to identify and analyse public-private incentives for the development and marketing of new animal vaccines within a real options methodological framework, and to investigate how real options methodology can be utilized to support economic incentives for vaccine development in a cost-effective way. The development of a vaccine against Campylobacter jejuni in poultry is applied as a case study. Employing the real options methodology, the net present value of the vaccine R&D project becomes larger than a purely probabilistic expected present value throughout the different stages of the project - and the net present value becomes larger, when more types of real options are taken into consideration. The insight from the real options analysis reveals opportunities for new policies to promote the development of animal vaccines. One such approach might be to develop schemes combining stage-by-stage optimized subsidies in the individual development stages, with proper account taken of investors'/developers' economic incentives to proceed, sell or cancel the project in the respective stages. Another way of using the real options approach to support the development of desirable animal vaccines could be to issue put options for the vaccine candidate, enabling vaccine developers to hedge against the economic risk from market volatility. Copyright © 2016 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Klibanov, Michael V.; Kuzhuget, Andrey V.; Golubnichiy, Kirill V.
2016-01-01
A new empirical mathematical model for the Black-Scholes equation is proposed to forecast option prices. This model includes new interval for the price of the underlying stock, new initial and new boundary conditions. Conventional notions of maturity time and strike prices are not used. The Black-Scholes equation is solved as a parabolic equation with the reversed time, which is an ill-posed problem. Thus, a regularization method is used to solve it. To verify the validity of our model, real market data for 368 randomly selected liquid options are used. A new trading strategy is proposed. Our results indicates that our method is profitable on those options. Furthermore, it is shown that the performance of two simple extrapolation-based techniques is much worse. We conjecture that our method might lead to significant profits of those financial insitutions which trade large amounts of options. We caution, however, that further studies are necessary to verify this conjecture.
The Importance and Satisfaction of Collaborative Innovation for Strategic Entrepreneurship
ERIC Educational Resources Information Center
Tsai, I-Chang; Lei, Han-Sheng
2016-01-01
Building on network, learning, resource-based and real options theories, collaborative innovation through the sharing of ideas, knowledge, expertise, and opportunities can enable both small and large firms to successfully engage in strategic entrepreneurship. We use the real case of a research-oriented organization and its incubator for analysis…
Nelson, Rohan; Howden, Mark; Hayman, Peter
2013-07-30
This paper explores heuristic methods with potential to place the analytical power of real options analysis into the hands of natural resource managers. The complexity of real options analysis has led to patchy or ephemeral adoption even by corporate managers familiar with the financial-market origins of valuation methods. Intuitively accessible methods for estimating the value of real options have begun to evolve, but their evaluation has mostly been limited to researcher-driven applications. In this paper we work closely with Bush Heritage Australia to evaluate the potential of real options analysis to support the intuitive judgement of conservation estate managers in covenanting land with uncertain future conservation value due to climate change. The results show that modified decision trees have potential to estimate the option value of covenanting individual properties while time and ongoing research resolves their future conservation value. Complementing this, Luehrman's option space has potential to assist managers with limited budgets to increase the portfolio value of multiple properties with different conservation attributes. Copyright © 2013 Elsevier Ltd. All rights reserved.
2016-04-30
focus on novel onshore/offshore and small/large scale wind turbine designs for expanding their operational range and increasing their efficiency at...of maintenance options created by the implementation of PHM in wind turbines . When an RUL is predicted for a subsystem, there are multiple choices...The section titled Example— Wind Turbine With an Outcome-Based Contract presents a case study for a PHM enabled wind turbine with and without an
Remarks on a financial inverse problem by means of Monte Carlo Methods
NASA Astrophysics Data System (ADS)
Cuomo, Salvatore; Di Somma, Vittorio; Sica, Federica
2017-10-01
Estimating the price of a barrier option is a typical inverse problem. In this paper we present a numerical and statistical framework for a market with risk-free interest rate and a risk asset, described by a Geometric Brownian Motion (GBM). After approximating the risk asset with a numerical method, we find the final option price by following an approach based on sequential Monte Carlo methods. All theoretical results are applied to the case of an option whose underlying is a real stock.
Instance-Based Learning: Integrating Sampling and Repeated Decisions from Experience
ERIC Educational Resources Information Center
Gonzalez, Cleotilde; Dutt, Varun
2011-01-01
In decisions from experience, there are 2 experimental paradigms: sampling and repeated-choice. In the sampling paradigm, participants sample between 2 options as many times as they want (i.e., the stopping point is variable), observe the outcome with no real consequences each time, and finally select 1 of the 2 options that cause them to earn or…
Application of tabu search to deterministic and stochastic optimization problems
NASA Astrophysics Data System (ADS)
Gurtuna, Ozgur
During the past two decades, advances in computer science and operations research have resulted in many new optimization methods for tackling complex decision-making problems. One such method, tabu search, forms the basis of this thesis. Tabu search is a very versatile optimization heuristic that can be used for solving many different types of optimization problems. Another research area, real options, has also gained considerable momentum during the last two decades. Real options analysis is emerging as a robust and powerful method for tackling decision-making problems under uncertainty. Although the theoretical foundations of real options are well-established and significant progress has been made in the theory side, applications are lagging behind. A strong emphasis on practical applications and a multidisciplinary approach form the basic rationale of this thesis. The fundamental concepts and ideas behind tabu search and real options are investigated in order to provide a concise overview of the theory supporting both of these two fields. This theoretical overview feeds into the design and development of algorithms that are used to solve three different problems. The first problem examined is a deterministic one: finding the optimal servicing tours that minimize energy and/or duration of missions for servicing satellites around Earth's orbit. Due to the nature of the space environment, this problem is modeled as a time-dependent, moving-target optimization problem. Two solution methods are developed: an exhaustive method for smaller problem instances, and a method based on tabu search for larger ones. The second and third problems are related to decision-making under uncertainty. In the second problem, tabu search and real options are investigated together within the context of a stochastic optimization problem: option valuation. By merging tabu search and Monte Carlo simulation, a new method for studying options, Tabu Search Monte Carlo (TSMC) method, is developed. The theoretical underpinnings of the TSMC method and the flow of the algorithm are explained. Its performance is compared to other existing methods for financial option valuation. In the third, and final, problem, TSMC method is used to determine the conditions of feasibility for hybrid electric vehicles and fuel cell vehicles. There are many uncertainties related to the technologies and markets associated with new generation passenger vehicles. These uncertainties are analyzed in order to determine the conditions in which new generation vehicles can compete with established technologies.
Acquiring Enterprise Systems as a Portfolio of Real Options
2012-04-30
expanded beyond valuing individual projects by the real options method to the valuation of a portfolio of options. Bardhan , Bagchi, and Soustad (2004... Bardhan , I., Bagchi, S., & Soustad, R. (2004). Prioritizing a portfolio of information technology investment projects. Journal of Management
The timing of adoption of positron emission tomography: a real options approach.
Pertile, Paolo; Torri, Emanuele; Flor, Luciano; Tardivo, Stefano
2009-09-01
This paper presents the economic evaluation from a hospital's perspective of the investment in positron emission tomography, adopting a real options approach. The installation of this equipment requires a major capital outlay, while uncertainty on several key variables is substantial. The value of several timing strategies, including sequential investment, is determined taking into account that future decisions will be based on the information available at that time. The results show that adopting this approach may have an impact on the timing of investment, because postponing the investment may be optimal even when the Expected Net Present Value of the project is positive.
ERIC Educational Resources Information Center
Stinson, Michael; Eisenberg, Sandy; Horn, Christy; Larson, Judy; Levitt, Harry; Stuckless, Ross
This report describes and discusses several applications of new computer-based technologies which enable postsecondary students with deafness or hearing impairments to read the text of the language being spoken by the instructor and fellow students virtually in real time. Two current speech-to-text options are described: (1) steno-based systems in…
2006-09-30
unlimited. Prepared for: Naval Postgraduate School, Monterey, California 93943 Integrated Portfolio Analysis : Return on Investment and Real Options... Analysis of Intelligence Information Systems (Cryptologic Carry On Program) 30 September 2006 by LCDR Cesar G. Rios, Jr., Naval Postgraduate...October 2005 – 30 September 2006 4. TITLE AND SUBTITLE Integrated Portfolio Analysis : Return on Investment and Real Options Analysis of Intelligence
Checking in: Location Services for Libraries
ERIC Educational Resources Information Center
Rethlefsen, Melissa L.
2010-01-01
As always in real estate, everything in technology these days seems to be about location. From Google's recent addition of a "nearby" location limit to its suite of search options to the spate of location-based mobile apps and social networks, physical proximity has become the linchpin of a trend to connect technology to the real world. In this…
The cognitive and neural basis of option generation and subsequent choice.
Kaiser, Stefan; Simon, Joe J; Kalis, Annemarie; Schweizer, Sophie; Tobler, Philippe N; Mojzisch, Andreas
2013-12-01
Decision-making research has thoroughly investigated how people choose from a set of externally provided options. However, in ill-structured real-world environments, possible options for action are not defined by the situation but have to be generated by the agent. Here, we apply behavioral analysis (Study 1) and functional magnetic resonance imaging (Study 2) to investigate option generation and subsequent choice. For this purpose, we employ a new experimental task that requires participants to generate options for simple real-world scenarios and to subsequently decide among the generated options. Correlational analysis with a cognitive test battery suggests that retrieval of options from long-term memory is a relevant process during option generation. The results of the fMRI study demonstrate that option generation in simple real-world scenarios recruits the anterior prefrontal cortex. Furthermore, we show that choice behavior and its neural correlates differ between self-generated and externally provided options. Specifically, choice between self-generated options is associated with stronger recruitment of the dorsal anterior cingulate cortex. This impact of option generation on subsequent choice underlines the need for an expanded model of decision making to accommodate choice between self-generated options.
Rosati, Nicoletta
2002-04-01
Project selection and portfolio management are particularly challenging in the pharmaceutical industry due to the high risk - high stake nature of the drug development process. In the recent years, scholars and industry experts have agreed that traditional Net-Present-Value evaluation of the projects fails to capture the value of managerial flexibility, and encouraged adopting a real options approach to recover the missed value. In this paper, we take a closer look at the drug development process and at the indices currently used to rank projects. We discuss the economic value of information and of real options arising in drug development and present decision analysis as an ideal framework for the implementation of real options valuation.
The Implications of Real Options on ERP-Enabled Adoption
ERIC Educational Resources Information Center
Nwankpa, Joseph K.
2012-01-01
Current research on Enterprise Resource Planning (ERP) systems and real options focuses on valuation and justification issues that manager's face prior to project approval with existing literature attempting to demonstrate that ERP systems as technology positioning investments have option-like characteristics thus making such ERP systems…
Pricing real estate index options under stochastic interest rates
NASA Astrophysics Data System (ADS)
Gong, Pu; Dai, Jun
2017-08-01
Real estate derivatives as new financial instruments are not merely risk management tools but also provide a novel way to gain exposure to real estate assets without buying or selling the physical assets. Although real estate derivatives market has exhibited a rapid development in recent years, the valuation challenge of real estate derivatives remains a great obstacle for further development in this market. In this paper, we derive a partial differential equation contingent on a real estate index in a stochastic interest rate environment and propose a modified finite difference method that adopts the non-uniform grids to solve this problem. Numerical results confirm the efficiency of the method and indicate that constant interest rate models lead to the mispricing of options and the effects of stochastic interest rates on option prices depend on whether the term structure of interest rates is rising or falling. Finally, we have investigated and compared the different effects of stochastic interest rates on European and American option prices.
Ranking of options of real estate use by expert assessments mathematical processing
NASA Astrophysics Data System (ADS)
Lepikhina, O. Yu; Skachkova, M. E.; Mihaelyan, T. A.
2018-05-01
The article is devoted to the development of the real estate assessment concept. In conditions of multivariate using of the real estate method based on calculating, the integral indicator of each variant’s efficiency is proposed. In order to calculate weights of criteria of the efficiency expert method, Analytic hierarchy process and its mathematical support are used. The method allows fulfilling ranking of alternative types of real estate use in dependence of their efficiency. The method was applied for one of the land parcels located on Primorsky district in Saint Petersburg.
We developed two new EOS additions to the TOUGH+ family of codes, the RealGasH2O and RealGas. The RealGasH2O EOS option describes the non-isothermal two-phase flow of water and a real gas mixture in gas reservoirs, with a particular focus in ultra-tight (such as tight-sand and sh...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-01-11
... began trading options on foreign currency pairs on April 17, 2007.\\3\\ The Brazilian real is one of the 19 underlying currencies that have been approved by the SEC for trading.\\4\\ The purpose of this... underlying currencies,\\5\\ with the Brazilian real being assigned a modifier of 10 based on the exchange rate...
Real options analysis for land use management: Methods, application, and implications for policy.
Regan, Courtney M; Bryan, Brett A; Connor, Jeffery D; Meyer, Wayne S; Ostendorf, Bertram; Zhu, Zili; Bao, Chenming
2015-09-15
Discounted cash flow analysis, including net present value is an established way to value land use and management investments which accounts for the time-value of money. However, it provides a static view and assumes passive commitment to an investment strategy when real world land use and management investment decisions are characterised by uncertainty, irreversibility, change, and adaptation. Real options analysis has been proposed as a better valuation method under uncertainty and where the opportunity exists to delay investment decisions, pending more information. We briefly review the use of discounted cash flow methods in land use and management and discuss their benefits and limitations. We then provide an overview of real options analysis, describe the main analytical methods, and summarize its application to land use investment decisions. Real options analysis is largely underutilized in evaluating land use decisions, despite uncertainty in policy and economic drivers, the irreversibility and sunk costs involved. New simulation methods offer the potential for overcoming current technical challenges to implementation as demonstrated with a real options simulation model used to evaluate an agricultural land use decision in South Australia. We conclude that considering option values in future policy design will provide a more realistic assessment of landholder investment decision making and provide insights for improved policy performance. Copyright © 2015 Elsevier Ltd. All rights reserved.
32 CFR 644.165 - Purpose and scope.
Code of Federal Regulations, 2011 CFR
2011-07-01
... ESTATE HANDBOOK Acquisition Procurement of Options Prior to Real Estate Directives (military) § 644.165... options to purchase real estate interests for Army or Air Force military requirements prior to the issuance of a real estate directive. These procedures are applicable to all Division and District Engineers...
PCI-based WILDFIRE reconfigurable computing engines
NASA Astrophysics Data System (ADS)
Fross, Bradley K.; Donaldson, Robert L.; Palmer, Douglas J.
1996-10-01
WILDFORCE is the first PCI-based custom reconfigurable computer that is based on the Splash 2 technology transferred from the National Security Agency and the Institute for Defense Analyses, Supercomputing Research Center (SRC). The WILDFORCE architecture has many of the features of the WILDFIRE computer, such as field- programmable gate array (FPGA) based processing elements, linear array and crossbar interconnection, and high- performance memory and I/O subsystems. New features introduced in the PCI-based WILDFIRE systems include memory/processor options that can be added to any processing element. These options include static and dynamic memory, digital signal processors (DSPs), FPGAs, and microprocessors. In addition to memory/processor options, many different application specific connectors can be used to extend the I/O capabilities of the system, including systolic I/O, camera input and video display output. This paper also discusses how this new PCI-based reconfigurable computing engine is used for rapid-prototyping, real-time video processing and other DSP applications.
A Non-Gaussian Stock Price Model: Options, Credit and a Multi-Timescale Memory
NASA Astrophysics Data System (ADS)
Borland, L.
We review a recently proposed model of stock prices, based on astatistical feedback model that results in a non-Gaussian distribution of price changes. Applications to option pricing and the pricing of debt is discussed. A generalization to account for feedback effects over multiple timescales is also presented. This model reproduces most of the stylized facts (ie statistical anomalies) observed in real financial markets.
75 FR 76930 - Real-Time Public Reporting of Swap Transaction Data
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-10
... COMMODITY FUTURES TRADING COMMISSION 17 CFR Part 43 RIN 3038-AD08 Real-Time Public Reporting of Swap Transaction Data Correction In proposed rule document 2010-29994 beginning on page 76140 in the...--Additional Real-Time Public Reporting Data Fields for Options, Swaptions and Swaps with Embedded Options...
Application of Real Options Theory to DoD Software Acquisitions
2009-02-20
Future Combat Systems Program. Washington, DC. U.S. Government Printing Office. Damodaran , A. (2007). Investment Valuation : The Options To Expand... valuation methodology, when enhanced and properly formulated around a proposed or existing software investment employing the spiral development approach...THIS PAGE INTENTIONALLY LEFT BLANK iii ABSTRACT The traditional real options valuation methodology, when enhanced and properly formulated
NASA Astrophysics Data System (ADS)
Kosowski, Piotr; Stopa, Jerzy
2012-11-01
Paper discusses issues relating to the valuation of investment efficiency in the oil and gas industry using a real options theory. The example of investment pricing using real options was depicted and it was confronted with the analysis executed with the use of traditional methods. Indicators commonly used to evaluate profitability of investment projects, based on a discounted cash flow method, have a few significant drawbacks, the most meaningful of which is staticity which means that any changes resulting from a decision process during the time of investment cannot be taken into consideration. In accordance with a methodology that is currently used, investment projects are analysed in a way that all the key decisions are made at the beginning and are irreversible. This approach assumes, that all the cash flows are specified and does not let the fact that during the time of investment there may appear new information, which could change its original form. What is also not analysed is the possibility of readjustment, due to staff managment's decisions, to the current market conditions, by expanding, speeding up/slowing down, abandoning or changing an outline of the undertaking. In result, traditional methods of investment projects valuation may lead to taking wrong decisions, e.g. giving up an owned exploitation licence or untimely liquidation of boreholes, which seem to be unprofitable. Due to all the above-mentioned there appears the necessity of finding some other methods which would let one make real and adequate estimations about investments in a petroleum industry especially when it comes to unconventional resources extraction. One of the methods which has been recently getting more and more approval in a world petroleum economics, is a real options pricing method. A real option is a right (but not an obligation) to make a decision connected with an investment in a specified time or time interval. According to the method a static model of pricing using DCF is no longer used; an investment project is divided into a series of steps and after each one there is a range of possible investment decisions, technical and organizational issues and all the others called `real options'. This lets one take many different varieties of modyfiying a strategy while pricing the project. This also makes it possible to react to the changing inner and outer situation and introducing new information while accomplishing the investment project. Owing to those, the decision process is a continuous operation, what is an actual vision of a real investment project management in the petroleum industry.
Favato, Giampiero; Baio, Gianluca; Capone, Alessandro; Marcellusi, Andrea; Saverio Mennini, Francesco
2013-07-01
A large number of economic evaluations have already confirmed the cost-effectiveness of different human papillomavirus (HPV) vaccination strategies. Standard analyses might not capture the full economic value of novel vaccination programs because the cost-effectiveness paradigm fails to take into account the value of active management. Management decisions can be seen as real options, a term used to refer to the application of option pricing theory to the valuation of investments in nonfinancial assets in which much of the value is attributable to flexibility and learning over time. The aim of this article was to discuss the potential advantages shown by using the payoff method in the valuation of the cost-effectiveness of competing HPV immunization programs. This was the first study, to the best of our knowledge, to use the payoff method to determine the real option values of 4 different HPV vaccination strategies targeting female subjects aged 12, 15, 18, and 25 years. The payoff method derives the real option value from the triangular payoff distribution of the project's net present value, which is treated as a triangular fuzzy number. To inform the real option model, cost-effectiveness data were derived from an empirically calibrated Bayesian model designed to assess the cost-effectiveness of a multicohort HPV vaccination strategy in the context of the current cervical cancer screening program in Italy. A net health benefit approach was used to calculate the expected fuzzy net present value for each of the 4 vaccination strategies evaluated. Costs per quality-adjusted life-year gained seemed to be related to the number of cohorts targeted: a single cohort of girls aged 12 years (€10,955 [95% CI, -1,021 to 28,212]) revealed the lowest cost among the 4 alternative strategies evaluated. The real option valuation challenged the cost-effectiveness dominance of a single cohort of 12-year-old girls. The simultaneous vaccination of 2 cohorts of girls aged 12 and 15 years yielded a real option value (€17,723) equivalent to that attributed to a single cohort of 12-year-old girls (€17,460). The payoff method showed distinctive advantages in the valuation of the cost-effectiveness of competing health care interventions, essentially determined by the replacement of the nonfuzzy numbers that are commonly used in cost-effectiveness analysis models, with fuzzy numbers as an input to inform the real option pricing method. The real option approach to value uncertainty makes policy making in health care an evolutionary process and creates a new "space" for decision-making choices. Copyright © 2013 Elsevier HS Journals, Inc. All rights reserved.
NASA Astrophysics Data System (ADS)
McCauley, Joseph L.
2004-06-01
Standard texts and research in economics and finance ignore the absence of evidence from the analysis of real, unmassaged market data to support the notion of Adam Smith's stabilizing Invisible Hand. In stark contrast, this text introduces a new empirically-based model of financial market dynamics that explains the volatility of prices options correctly and clarifies the instability of financial markets. The emphasis is on understanding how real markets behave, not how they hypothetically 'should' behave.
Valuing real estate externality-based option in development of transit system projects.
DOT National Transportation Integrated Search
2010-03-01
Capital-intensive transit projects rely on strong public support and availability of funds. While the general : public has become a strong advocate for transit systems, budget shortfalls and financial constraints are still : resulting in delays in pr...
Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models
NASA Astrophysics Data System (ADS)
Giesen, Joachim; Mueller, Klaus; Taneva, Bilyana; Zolliker, Peter
Conjoint analysis is a family of techniques that originated in psychology and later became popular in market research. The main objective of conjoint analysis is to measure an individual's or a population's preferences on a class of options that can be described by parameters and their levels. We consider preference data obtained in choice-based conjoint analysis studies, where one observes test persons' choices on small subsets of the options. There are many ways to analyze choice-based conjoint analysis data. Here we discuss the intuition behind a classification based approach, and compare this approach to one based on statistical assumptions (discrete choice models) and to a regression approach. Our comparison on real and synthetic data indicates that the classification approach outperforms the discrete choice models.
The study on stage financing model of IT project investment.
Chen, Si-hua; Xu, Sheng-hua; Lee, Changhoon; Xiong, Neal N; He, Wei
2014-01-01
Stage financing is the basic operation of venture capital investment. In investment, usually venture capitalists use different strategies to obtain the maximum returns. Due to its advantages to reduce the information asymmetry and agency cost, stage financing is widely used by venture capitalists. Although considerable attentions are devoted to stage financing, very little is known about the risk aversion strategies of IT projects. This paper mainly addresses the problem of risk aversion of venture capital investment in IT projects. Based on the analysis of characteristics of venture capital investment of IT projects, this paper introduces a real option pricing model to measure the value brought by the stage financing strategy and design a risk aversion model for IT projects. Because real option pricing method regards investment activity as contingent decision, it helps to make judgment on the management flexibility of IT projects and then make a more reasonable evaluation about the IT programs. Lastly by being applied to a real case, it further illustrates the effectiveness and feasibility of the model.
The Study on Stage Financing Model of IT Project Investment
Xu, Sheng-hua; Xiong, Neal N.
2014-01-01
Stage financing is the basic operation of venture capital investment. In investment, usually venture capitalists use different strategies to obtain the maximum returns. Due to its advantages to reduce the information asymmetry and agency cost, stage financing is widely used by venture capitalists. Although considerable attentions are devoted to stage financing, very little is known about the risk aversion strategies of IT projects. This paper mainly addresses the problem of risk aversion of venture capital investment in IT projects. Based on the analysis of characteristics of venture capital investment of IT projects, this paper introduces a real option pricing model to measure the value brought by the stage financing strategy and design a risk aversion model for IT projects. Because real option pricing method regards investment activity as contingent decision, it helps to make judgment on the management flexibility of IT projects and then make a more reasonable evaluation about the IT programs. Lastly by being applied to a real case, it further illustrates the effectiveness and feasibility of the model. PMID:25147845
The Decoy Effect as a Nudge: Boosting Hand Hygiene With a Worse Option.
Li, Meng; Sun, Yan; Chen, Hui
2018-05-01
This article provides the first test of the decoy effect as a nudge to influence real-world behavior. The decoy effect is the phenomenon that an additional but worse option can boost the appeal of an existing option. It has been widely demonstrated in hypothetical choices, but its usefulness in real-world settings has been subject to debate. In three longitudinal experiments in food-processing factories, we tested two decoy sanitation options that were worse than the existing sanitizer spray bottle. Results showed that the presence of a decoy, but not an additional copy of the original sanitizer bottle in a different color, drastically increased food workers' hand sanitizer use from the original sanitizer bottle and, consequently, improved workers' passing rate in hand sanitary tests from 60% to 70% to above 90% for 20 days. These findings indicate that the decoy effect can be a powerful nudge technique to influence real-world behavior.
Temporary Employment Contracts in Academia: A Real Option View
ERIC Educational Resources Information Center
Brady, Malcolm
2017-01-01
This paper examines the strategic use of temporary employment contracts in dealing with supply uncertainty in the form of employee ability that is slow to reveal itself, for example in academia where there exist significant time lags in demonstration of research ability. A temporary contract is modeled as a real option, specifically as a…
van Reedt Dortland, Maartje; Dewulf, Geert; Voordijk, Hans
2013-01-01
Exploring the impact of the type of project coalition on types of flexibility by analyzing considered and exercised flexibilities in separated and integrated project coalitions in the design and construction phase and the operations and maintenance phase of a healthcare construction project. Flexibility in healthcare construction projects is increasingly needed in order to deal with growing uncertainties. Until now, little research has been carried out on how and to what extent flexibility is incorporated in different types of project coalitions chosen by healthcare organizations. An exploratory survey was conducted among health organizations in both cure and care. Questions were asked on the position of the real estate department within the organization, the type of project coalitions chosen and the rationale behind this choice, and the extent to which flexibility in terms of a real option was considered and to what extent it had been exercised in a project coalition. Integrated project coalitions pay more attention to flexibility in advance in both the process and the product, but exercise them to a lesser extent than separated project coalitions. The economic feasibility of real options is higher in integrated project coalitions. The study shows that real options thinking is already incorporated in real estate management of healthcare organizations, although more flexibility is considered in advance of the project than is actually realized during and after construction. Built environment, construction, decision making, hospitals, planning.
Complexometric Determination of Mercury Based on a Selective Masking Reaction
ERIC Educational Resources Information Center
Romero, Mercedes; Guidi, Veronica; Ibarrolaza, Agustin; Castells, Cecilia
2009-01-01
In the first analytical chemistry course, students are introduced to the concepts of equilibrium in water solutions and classical (non-instrumental) analytical methods. Our teaching experience shows that "real samples" stimulate students' enthusiasm for the laboratory work. From this diagnostic, we implemented an optional activity at the end of…
2008-12-01
between our current project and the historical projects. Therefore to refine the historical volatility estimate of the previously completed software... historical volatility estimates obtained in the form of beliefs and plausibility based on subjective probabilities that take into consideration unique
Realtime Caption Reporting Curriculum Development--Year Two. Final Report.
ERIC Educational Resources Information Center
Amarillo Coll., TX.
An associate degree program to train real-time caption reporters was developed at Amarillo College in Texas. The competency-based curriculum contained steno caption writer and certified court reporter options. The program featured internships at a local television station, during which students received individual hands-on training conducted by…
JSC interactive basic accounting system
NASA Technical Reports Server (NTRS)
Spitzer, J. F.
1978-01-01
Design concepts for an interactive basic accounting system (IBAS) are considered in terms of selecting the design option which provides the best response at the lowest cost. Modeling the IBAS workload and applying this workload to a U1108 EXEC 8 based system using both a simulation model and the real system is discussed.
Real Option Cost Vulnerability Analysis of Electrical Infrastructure
NASA Astrophysics Data System (ADS)
Prime, Thomas; Knight, Phil
2015-04-01
Critical infrastructure such as electricity substations are vulnerable to various geo-hazards that arise from climate change. These geo-hazards range from increased vegetation growth to increased temperatures and flood inundation. Of all the identified geo-hazards, coastal flooding has the greatest impact, but to date has had a low probability of occurring. However, in the face of climate change, coastal flooding is likely to occur more often due to extreme water levels being experienced more frequently due to sea-level rise (SLR). Knowing what impact coastal flooding will have now and in the future on critical infrastructure such as electrical substations is important for long-term management. Using a flood inundation model, present day and future flood events have been simulated, from 1 in 1 year events up to 1 in 10,000 year events. The modelling makes an integrated assessment of impact by using sea-level and surge to simulate a storm tide. The geographical area the model covers is part of the Northwest UK coastline with a range of urban and rural areas. The ensemble of flood maps generated allows the identification of critical infrastructure exposed to coastal flooding. Vulnerability has be assessed using an Estimated Annual Damage (EAD) value. Sampling SLR annual probability distributions produces a projected "pathway" for SLR up to 2100. EAD is then calculated using a relationship derived from the flood model. Repeating the sampling process allows a distribution of EAD up to 2100 to be produced. These values are discounted to present day values using an appropriate discount rate. If the cost of building and maintain defences is also removed from this a Net Present Value (NPV) of building the defences can be calculated. This distribution of NPV can be used as part of a cost modelling process involving Real Options, A real option is the right but not obligation to undertake investment decisions. In terms of investment in critical infrastructure resilience this means that a real option can be deferred or exercised depending on the climate future that has been realised. The real option value is defined as the maximum positive NPV value that is found across the range of potential SLR "futures". Real Options add value in that flood defences may not be built when there is real value in doing so. The cost modelling output is in the form of an accessible database that has detailed real option values varying spatially across the model domain (for each critical infrastructure) and temporally up to 2100. The analysis has shown that in 2100, 8.2% of the substations analysed have a greater than a 1 in 2 chance of exercising the real option to build flood defences against coastal flooding. The cost modelling tool and flood maps that have been developed will help stakeholders in deciding where and when to invest in mitigating against coastal flooding.
A quadranomial real options model for evaluation of emissions trading and technology
NASA Astrophysics Data System (ADS)
Sarkis, Joseph; Tamarkin, Maurry
2005-11-01
Green house gas (GHG) emissions have been tied to global climate change. One popular policy instrument that seems to have gained credibility with explicit mention of its application in the Kyoto Protocol is the use of permit trading and cap-and-trade mechanisms. Organizations functioning within this environment will need to manage their resources appropriately to remain competitive. Organizations will either have the opportunity to purchase emissions credits (offsets) from a market trading scheme or seek to reduce their emissions through different measures. Some measures may include investment in new technologies that will reduce their reliance on GHG emitting practices. In many countries, large organizations and institutions generate their own power to operate their facilities. Much of this power is generated (or bought) from GHG producing technology. Specific renewable energy sources such as wind and solar photovoltaic technology may become more feasible alternatives available to a large percentage of these organizations if they are able to take advantage and incorporate the market for GHG emissions trading in their analyses. To help organizations evaluate investment in these renewable energy technologies we introduce a real options based model that will take into consideration uncertainties associated with the technology and those associated with the GHG trading market. The real options analysis will consider both the stochastic (uncertainty) nature of the exercise price of the technology and the stochastic nature of the market trading price of the GHG emissions.
Evidence integration in model-based tree search
Solway, Alec; Botvinick, Matthew M.
2015-01-01
Research on the dynamics of reward-based, goal-directed decision making has largely focused on simple choice, where participants decide among a set of unitary, mutually exclusive options. Recent work suggests that the deliberation process underlying simple choice can be understood in terms of evidence integration: Noisy evidence in favor of each option accrues over time, until the evidence in favor of one option is significantly greater than the rest. However, real-life decisions often involve not one, but several steps of action, requiring a consideration of cumulative rewards and a sensitivity to recursive decision structure. We present results from two experiments that leveraged techniques previously applied to simple choice to shed light on the deliberation process underlying multistep choice. We interpret the results from these experiments in terms of a new computational model, which extends the evidence accumulation perspective to multiple steps of action. PMID:26324932
Combination of real options and game-theoretic approach in investment analysis
NASA Astrophysics Data System (ADS)
Arasteh, Abdollah
2016-09-01
Investments in technology create a large amount of capital investments by major companies. Assessing such investment projects is identified as critical to the efficient assignment of resources. Viewing investment projects as real options, this paper expands a method for assessing technology investment decisions in the linkage existence of uncertainty and competition. It combines the game-theoretic models of strategic market interactions with a real options approach. Several key characteristics underlie the model. First, our study shows how investment strategies rely on competitive interactions. Under the force of competition, firms hurry to exercise their options early. The resulting "hurry equilibrium" destroys the option value of waiting and involves violent investment behavior. Second, we get best investment policies and critical investment entrances. This suggests that integrating will be unavoidable in some information product markets. The model creates some new intuitions into the forces that shape market behavior as noticed in the information technology industry. It can be used to specify best investment policies for technology innovations and adoptions, multistage R&D, and investment projects in information technology.
Real-Time GNSS Positioning with JPL's new GIPSYx Software
NASA Astrophysics Data System (ADS)
Bar-Sever, Y. E.
2016-12-01
The JPL Global Differential GPS (GDGPS) System is now producing real-time orbit and clock solutions for GPS, GLONASS, BeiDou, and Galileo. The operations are based on JPL's next generation geodetic analysis and data processing software, GIPSYx (also known at RTGx). We will examine the impact of the nascent GNSS constellations on real-time kinematic positioning for earthquake monitoring, and assess the marginal benefits from each constellation. We will discus the options for signal selection, inter-signal bias modeling, and estimation strategies in the context of real-time point positioning. We will provide a brief overview of the key features and attributes of GIPSYx. Finally we will describe the current natural hazard monitoring services from the GDGPS System.
ERIC Educational Resources Information Center
Burke, John C.
2012-01-01
The objective of my dissertation is to create a general approach to evaluating IS/IT projects using Real Option Analysis (ROA). This is an important problem because an IT Project Portfolio (ITPP) can represent hundreds of projects, millions of dollars of investment and hundreds of thousands of employee hours. Therefore, any advance in the…
Real option logic for healthcare entrepreneurial growth and survival.
Williams, David R; Hammes, Paul H
2007-05-01
Given the increasing market and technological uncertainty of capital investments, healthcare financial executives need to incorporate flexibility into their decision making. Traditional capital budgeting techniques do not take into consideration the need for flexibility, changes in the environment, or actions by management. In response, practitioners from various industries have adopted a new way of looking at capital investments: real options.
The NATO Alliance: US Conventional Force Level Options Toward it Based on US National Interests.
1981-09-01
24 percent level for 1979, it has recently slowed down due to price controls and the slower depreciation of the escudo . Real wage increases declined...one can readily establisb US current and past generosity, in fiscal terms, toward the Atlantic Alliance. In conclusion, the fifteen countries presently
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bil; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.;
2016-01-01
This manual describes the installation and execution of FUN3D version 12.9, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, William L.; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.;
2017-01-01
This manual describes the installation and execution of FUN3D version 13.2, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, William L.; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.; Rumsey, Christopher L.;
2015-01-01
This manual describes the installation and execution of FUN3D version 12.6, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bil; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.;
2015-01-01
This manual describes the installation and execution of FUN3D version 12.7, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, William L.; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.; Rumsey, Christopher L.;
2014-01-01
This manual describes the installation and execution of FUN3D version 12.5, including optional dependent packages. FUN3D is a suite of computational uid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables ecient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bil; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.;
2015-01-01
This manual describes the installation and execution of FUN3D version 12.8, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bil; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.; Rumsey, Christopher L.;
2014-01-01
This manual describes the installation and execution of FUN3D version 12.4, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixedelement unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bil; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.;
2017-01-01
This manual describes the installation and execution of FUN3D version 13.1, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bill; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.;
2016-01-01
This manual describes the installation and execution of FUN3D version 13.0, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
NASA Technical Reports Server (NTRS)
Biedron, Robert T.; Carlson, Jan-Renee; Derlaga, Joseph M.; Gnoffo, Peter A.; Hammond, Dana P.; Jones, William T.; Kleb, Bil; Lee-Rausch, Elizabeth M.; Nielsen, Eric J.; Park, Michael A.;
2018-01-01
This manual describes the installation and execution of FUN3D version 13.3, including optional dependent packages. FUN3D is a suite of computational fluid dynamics simulation and design tools that uses mixed-element unstructured grids in a large number of formats, including structured multiblock and overset grid systems. A discretely-exact adjoint solver enables efficient gradient-based design and grid adaptation to reduce estimated discretization error. FUN3D is available with and without a reacting, real-gas capability. This generic gas option is available only for those persons that qualify for its beta release status.
41 CFR 102-73.15 - What real estate acquisition and related services may Federal agencies provide?
Code of Federal Regulations, 2014 CFR
2014-01-01
... 41 Public Contracts and Property Management 3 2014-01-01 2014-01-01 false What real estate... REGULATION REAL PROPERTY 73-REAL ESTATE ACQUISITION General Provisions § 102-73.15 What real estate... provide real estate acquisition and related services, including leasing (with or without purchase options...
41 CFR 102-73.15 - What real estate acquisition and related services may Federal agencies provide?
Code of Federal Regulations, 2013 CFR
2013-07-01
... 41 Public Contracts and Property Management 3 2013-07-01 2013-07-01 false What real estate... REGULATION REAL PROPERTY 73-REAL ESTATE ACQUISITION General Provisions § 102-73.15 What real estate... provide real estate acquisition and related services, including leasing (with or without purchase options...
41 CFR 102-73.15 - What real estate acquisition and related services may Federal agencies provide?
Code of Federal Regulations, 2010 CFR
2010-07-01
... 41 Public Contracts and Property Management 3 2010-07-01 2010-07-01 false What real estate... REGULATION REAL PROPERTY 73-REAL ESTATE ACQUISITION General Provisions § 102-73.15 What real estate... provide real estate acquisition and related services, including leasing (with or without purchase options...
41 CFR 102-73.15 - What real estate acquisition and related services may Federal agencies provide?
Code of Federal Regulations, 2011 CFR
2011-01-01
... 41 Public Contracts and Property Management 3 2011-01-01 2011-01-01 false What real estate... REGULATION REAL PROPERTY 73-REAL ESTATE ACQUISITION General Provisions § 102-73.15 What real estate... provide real estate acquisition and related services, including leasing (with or without purchase options...
GPU-Based Real-Time Volumetric Ultrasound Image Reconstruction for a Ring Array
Choe, Jung Woo; Nikoozadeh, Amin; Oralkan, Ömer; Khuri-Yakub, Butrus T.
2014-01-01
Synthetic phased array (SPA) beamforming with Hadamard coding and aperture weighting is an optimal option for real-time volumetric imaging with a ring array, a particularly attractive geometry in intracardiac and intravascular applications. However, the imaging frame rate of this method is limited by the immense computational load required in synthetic beamforming. For fast imaging with a ring array, we developed graphics processing unit (GPU)-based, real-time image reconstruction software that exploits massive data-level parallelism in beamforming operations. The GPU-based software reconstructs and displays three cross-sectional images at 45 frames per second (fps). This frame rate is 4.5 times higher than that for our previously-developed multi-core CPU-based software. In an alternative imaging mode, it shows one B-mode image rotating about the axis and its maximum intensity projection (MIP), processed at a rate of 104 fps. This paper describes the image reconstruction procedure on the GPU platform and presents the experimental images obtained using this software. PMID:23529080
The Application of the Real Options Method for the Evaluation of High-Rise Construction Projects
NASA Astrophysics Data System (ADS)
Izotov, Aleksandr; Rostova, Olga; Dubgorn, Alissa
2018-03-01
The paper is devoted to the problem of evaluation of high-rise construction projects in a rapidly changing environment. The authors proposed an algorithm for constructing and embedding real options in high-rise construction projects, which makes it possible to increase the flexibility of managing multi-stage projects that have the ability to adapt to changing conditions of implementation.
A real options approach to clinical faculty salary structure.
Kahn, Marc J; Long, Hugh W
2012-01-01
One can use the option theory model originally developed to price financial opportunities in security markets to analyze many other economic arrangements such as the salary structures of clinical faculty in an academic medical center practice plan. If one views the underlying asset to be the portion (labeled "salary") of the economic value of the collections made for the care provided patients by the physician, then a salary guarantee can be considered a put option provided the physician, the guarantee having value to the physician only when the actual salary earned is less than the salary guarantee. Similarly, within an incentive plan, a salary cap can be thought of as a call option provided to the practice plan since a salary cap only has value to the practice plan when a physician's earnings exceed the cap. Further, based on analysis of prior earnings, the Black-Scholes options pricing model can be used both to price each option and to determine a financially neutral balance between a salary guarantee and a salary cap by equating the prices of the implied put and call options. We suggest that such analysis is superior to empirical methods for setting clinical faculty salary structure in the academic practice plan setting.
Option pricing: a flexible tool to disseminate shared savings contracts.
Friedberg, Mark W; Buendia, Anthony M; Lauderdale, Katherine E; Hussey, Peter S
2013-08-01
Due to volatility in healthcare costs, shared savings contracts can create systematic financial losses for payers, especially when contracting with smaller providers. To improve the business case for shared savings, we calculated the prices of financial options that payers can "sell" to providers to offset these losses. Using 2009 to 2010 member-level total cost of care data from a large commercial health plan, we calculated option prices by applying a bootstrap simulation procedure. We repeated these simulations for providers of sizes ranging from 500 to 60,000 patients and for shared savings contracts with and without key design features (minimum savings thresholds,bonus caps, cost outlier truncation, and downside risk) and under assumptions of zero, 1%, and 2% real cost reductions due to the shared savings contracts. Assuming no real cost reduction and a 50% shared savings rate, per patient option prices ranged from $225 (3.1% of overall costs) for 500-patient providers to $23 (0.3%) for 60,000-patient providers. Introducing minimum savings thresholds, bonus caps, cost outlier truncation, and downside risk reduced these option prices. Option prices were highly sensitive to the magnitude of real cost reductions. If shared savings contracts cause 2% reductions in total costs, option prices fall to zero for all but the smallest providers. Calculating the prices of financial options that protect payers and providers from downside risk can inject flexibility into shared savings contracts, extend such contracts to smaller providers, and clarify the tradeoffs between different contract designs, potentially speeding the dissemination of shared savings.
32 CFR 644.166 - Authority and applicability.
Code of Federal Regulations, 2011 CFR
2011-07-01
....166 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY (CONTINUED) REAL PROPERTY REAL ESTATE HANDBOOK Acquisition Procurement of Options Prior to Real Estate Directives (military... parcel of real property before or after its acquisition is authorized by law, if he considers it suitable...
Real and Virtual Experiential Learning on the Mekong: Field Schools, e-Sims and Cultural Challenge
ERIC Educational Resources Information Center
Hirsch, Philip; Lloyd, Kate
2005-01-01
This paper describes two innovative and linked approaches to teaching and student learning in the environmental and development geography of the Mekong region, a region remote from students' normal experiential options. The first approach is field-based learning through Field Schools carried out in Vietnam, Laos and Thailand. The second approach…
Real options valuation in the design of Future surface combatants
2017-06-01
VALUATION IN THE DESIGN OF FUTURE SURFACE COMBATANTS by Lauren B. Majchrzak June 2017 Thesis Advisor: Johnathan Mun Second Reader: Tom...thesis 4. TITLE AND SUBTITLE REAL OPTIONS VALUATION IN THE DESIGN OF FUTURE SURFACE COMBATANTS 5. FUNDING NUMBERS 6. AUTHOR(S) Lauren B. Majchrzak...meeting their service-life expectancy of 40 years. Modular Adaptable Ship (MAS) designs that include flexibility, decoupled payloads from the platform
Modulation of Saccade Vigor during Value-Based Decision Making.
Reppert, Thomas R; Lempert, Karolina M; Glimcher, Paul W; Shadmehr, Reza
2015-11-18
During value-based decision-making, individuals consider the various options and select the one that provides the maximum subjective value. Although the brain integrates abstract information to compute and compare these values, the only behavioral outcome is often the decision itself. However, if the options are visual stimuli, during deliberation the brain moves the eyes from one stimulus to the other. Previous work suggests that saccade vigor, i.e., peak velocity as a function of amplitude, is greater if reward is associated with the visual stimulus. This raises the possibility that vigor during the free viewing of options may be influenced by the valuation of each option. Here, humans chose between a small, immediate monetary reward and a larger but delayed reward. As the deliberation began, vigor was similar for the saccades made to the two options but diverged 0.5 s before decision time, becoming greater for the preferred option. This difference in vigor increased as a function of the difference in the subjective values that the participant assigned to the delayed and immediate options. After the decision was made, participants continued to gaze at the options, but with reduced vigor, making it possible to infer timing of the decision from the sudden drop in vigor. Therefore, the subjective value that the brain assigned to a stimulus during decision-making affected the motor system via the vigor with which the eyes moved toward that stimulus. We find that, as individuals deliberate between two rewarding options and arrive at a decision, the vigor with which they make saccades to each option reflects a real-time evaluation of that option. With deliberation, saccade vigor diverges between the two options, becoming greater for the option that the individual will eventually choose. The results suggest a shared element between the network that assigns value to a stimulus during the process of decision-making and the network that controls vigor of movements toward that stimulus. Copyright © 2015 the authors 0270-6474/15/3515369-10$15.00/0.
Modulation of Saccade Vigor during Value-Based Decision Making
Lempert, Karolina M.; Glimcher, Paul W.; Shadmehr, Reza
2015-01-01
During value-based decision-making, individuals consider the various options and select the one that provides the maximum subjective value. Although the brain integrates abstract information to compute and compare these values, the only behavioral outcome is often the decision itself. However, if the options are visual stimuli, during deliberation the brain moves the eyes from one stimulus to the other. Previous work suggests that saccade vigor, i.e., peak velocity as a function of amplitude, is greater if reward is associated with the visual stimulus. This raises the possibility that vigor during the free viewing of options may be influenced by the valuation of each option. Here, humans chose between a small, immediate monetary reward and a larger but delayed reward. As the deliberation began, vigor was similar for the saccades made to the two options but diverged 0.5 s before decision time, becoming greater for the preferred option. This difference in vigor increased as a function of the difference in the subjective values that the participant assigned to the delayed and immediate options. After the decision was made, participants continued to gaze at the options, but with reduced vigor, making it possible to infer timing of the decision from the sudden drop in vigor. Therefore, the subjective value that the brain assigned to a stimulus during decision-making affected the motor system via the vigor with which the eyes moved toward that stimulus. SIGNIFICANCE STATEMENT We find that, as individuals deliberate between two rewarding options and arrive at a decision, the vigor with which they make saccades to each option reflects a real-time evaluation of that option. With deliberation, saccade vigor diverges between the two options, becoming greater for the option that the individual will eventually choose. The results suggest a shared element between the network that assigns value to a stimulus during the process of decision-making and the network that controls vigor of movements toward that stimulus. PMID:26586823
Applications of artificial intelligence V; Proceedings of the Meeting, Orlando, FL, May 18-20, 1987
NASA Technical Reports Server (NTRS)
Gilmore, John F. (Editor)
1987-01-01
The papers contained in this volume focus on current trends in applications of artificial intelligence. Topics discussed include expert systems, image understanding, artificial intelligence tools, knowledge-based systems, heuristic systems, manufacturing applications, and image analysis. Papers are presented on expert system issues in automated, autonomous space vehicle rendezvous; traditional versus rule-based programming techniques; applications to the control of optional flight information; methodology for evaluating knowledge-based systems; and real-time advisory system for airborne early warning.
Real Option in Capital Budgeting for SMEs: Insight from Steel Company
NASA Astrophysics Data System (ADS)
Muharam, F. M.; Tarrazon, M. A.
2017-06-01
Complex components of investment projects can only be analysed accurately if flexibility and comprehensive consideration of uncertainty are incorporated into valuation. Discounted cash flow (DCF) analysis has failed to cope with strategic future alternatives that affect the right value of investment projects. Real option valuation (ROV) proves to be the right tool for this purpose since it enables to calculate the enlarged or strategic Net Present Value (ENPV). This study attempts to provide an insight of the usage of ROV in capital budgeting and investment decision-making processes of SMEs. Exploring into the first stage processing of steel industry, analysis of alternatives to cancel, to expand, to defer or to abandon is performed. Completed with multiple options interaction and a sensitivity analysis, our findings prove that the application of ROV is beneficial for complex investment projects independently from the size of the company and particularly suitable in scenarios with scarce resources. The application of Real Option Valuation (ROV) is plausible and beneficial for SMEs to be incorporated in the strategic decision making process.
Chan, Steven; Hwang, Tiffany; Wong, Alice; Bauer, Amy M.
2017-01-01
Mobile health (mHealth), telemedicine and other technology-based services facilitate mental health service delivery and may be considered part of an e-mental health (eMH) spectrum of care. Web- and Internet-based resources provide a great opportunity for the public, patients, healthcare providers and others to improve wellness, practice prevention and reduce suffering from illnesses. Mobile apps offer portability for access anytime/anywhere, are inexpensive versus traditional desktop computers, and have additional features (e.g., context-aware interventions and sensors with real-time feedback. This paper discusses mobile mental health (mMH) options, as part of a broader framework of eMH options. The evidence-based literature shows that many people have an openness to technology as a way to help themselves, change behaviors and engage additional clinical services. Studies show that traditional video-based synchronous telepsychiatry (TP) is as good as in-person service, but mHealth outcomes have been rarely, directly compared to in-person and other eMH care options. Similarly, technology options added to in-person care or combined with others have not been evaluated nor linked with specific goals and desired outcomes. Skills and competencies for clinicians are needed for mHealth, social media and other new technologies in the eMH spectrum, in addition to research by randomized trials and study of health service delivery models with an emphasis on effectiveness. PMID:28894744
Gregory E. Frey; D. Evan Mercer; Frederick W. Cubbage; Robert C. Abt
2010-01-01
The Lower Mississippi River Alluvial Valley (LMAV), once was the largest forested bottom-land area in the continental United States, but has undergone widespread loss of forest through conversion to farmland. Restoration of forest functions and values has been a key conservation goal in the LMAV since the 1970s. This study utilizes a partial differential real options...
Schösler, Hanna; de Boer, Joop; Boersema, Jan J
2012-02-01
The shift towards a more sustainable diet necessitates less reliance on foods of animal origin. This study presents data from a representative survey of Dutch consumers on their practices related to meat, meat substitution and meat reduction. The practices reflected a cultural gradient of meat substitution options running from other products of animal origin and conventional meat free meals to real vegetarian meals. To investigate feasible substitution options, a variety of meals without meat were presented using photos, which were rated by the participants in terms of attractiveness and chances that they would prepare a similar meal at home. The results demonstrated the influence of meal formats, product familiarity, cooking skills, preferences for plant-based foods and motivational orientations towards food. In particular, a lack of familiarity and skill hampered the preparation of real vegetarian meals. Based on the findings we propose a diversified understanding of meat substitution and we specify four policy-relevant pathways for a transition towards a more plant-based diet, including an incremental change towards more health-conscious vegetarian meals, a pathway that utilizes the trend towards convenience, a pathway of reduced portion size, and practice-oriented change towards vegetarian meals. Copyright © 2011 Elsevier Ltd. All rights reserved.
When to Wait for More Evidence? Real Options Analysis in Proton Therapy
Abrams, Keith R.; de Ruysscher, Dirk; Pijls-Johannesma, Madelon; Peters, Hans J.M.; Beutner, Eric; Lambin, Philippe; Joore, Manuela A.
2011-01-01
Purpose. Trends suggest that cancer spending growth will accelerate. One method for controlling costs is to examine whether the benefits of new technologies are worth the extra costs. However, especially new and emerging technologies are often more costly, while limited clinical evidence of superiority is available. In that situation it is often unclear whether to adopt the new technology now, with the risk of investing in a suboptimal therapy, or to wait for more evidence, with the risk of withholding patients their optimal treatment. This trade-off is especially difficult when it is costly to reverse the decision to adopt a technology, as is the case for proton therapy. Real options analysis, a technique originating from financial economics, assists in making this trade-off. Methods. We examined whether to adopt proton therapy, as compared to stereotactic body radiotherapy, in the treatment of inoperable stage I non-small cell lung cancer. Three options are available: adopt without further research; adopt and undertake a trial; or delay adoption and undertake a trial. The decision depends on the expected net gain of each option, calculated by subtracting its total costs from its expected benefits. Results. In The Netherlands, adopt and trial was found to be the preferred option, with an optimal sample size of 200 patients. Increase of treatment costs abroad and costs of reversal altered the preferred option. Conclusion. We have shown that real options analysis provides a transparent method of weighing the costs and benefits of adopting and/or further researching new and expensive technologies. PMID:22147003
Resisting Temptation: Tracking How Self-Control Conflicts Are Successfully Resolved in Real Time.
Stillman, Paul E; Medvedev, Danila; Ferguson, Melissa J
2017-09-01
Across four studies, we used mouse tracking to identify the dynamic, on-line cognitive processes that underlie successful self-control decisions. First, we showed that individuals display real-time conflict when choosing options consistent with their long-term goal over short-term temptations. Second, we found that individuals who are more successful at self-control-whether measured or manipulated-show significantly less real-time conflict in only self-control-relevant choices. Third, we demonstrated that successful individuals who choose a long-term goal over a short-term temptation display movements that are smooth rather than abrupt, which suggests dynamic rather than stage-based resolution of self-control conflicts. These findings have important implications for contemporary theories of self-control.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Siddiqui, Afzal; Marnay, Chris
This paper examines a California-based microgrid s decision to invest in a distributed generation (DG) unit that operates on natural gas. While the long-term natural gas generation cost is stochastic, we initially assume that the microgrid may purchase electricity at a fixed retail rate from its utility. Using the real options approach, we find natural gas generating cost thresholds that trigger DG investment. Furthermore, the consideration of operational flexibility by the microgrid accelerates DG investment, while the option to disconnect entirely from the utility is not attractive. By allowing the electricity price to be stochastic, we next determine an investmentmore » threshold boundary and find that high electricity price volatility relative to that of natural gas generating cost delays investment while simultaneously increasing the value of the investment. We conclude by using this result to find the implicit option value of the DG unit.« less
Time Series Data Visualization in World Wide Telescope
NASA Astrophysics Data System (ADS)
Fay, J.
WorldWide Telescope provides a rich set of timer series visualization for both archival and real time data. WWT consists of both interactive desktop tools for interactive immersive visualization and HTML5 web based controls that can be utilized in customized web pages. WWT supports a range of display options including full dome, power walls, stereo and virtual reality headsets.
Real-time locating systems (RTLS) in healthcare: a condensed primer
2012-01-01
Real-time locating systems (RTLS, also known as real-time location systems) have become an important component of many existing ubiquitous location aware systems. While GPS (global positioning system) has been quite successful as an outdoor real-time locating solution, it fails to repeat this success indoors. A number of RTLS technologies have been used to solve indoor tracking problems. The ability to accurately track the location of assets and individuals indoors has many applications in healthcare. This paper provides a condensed primer of RTLS in healthcare, briefly covering the many options and technologies that are involved, as well as the various possible applications of RTLS in healthcare facilities and their potential benefits, including capital expenditure reduction and workflow and patient throughput improvements. The key to a successful RTLS deployment lies in picking the right RTLS option(s) and solution(s) for the application(s) or problem(s) at hand. Where this application-technology match has not been carefully thought of, any technology will be doomed to failure or to achieving less than optimal results. PMID:22741760
Real-time locating systems (RTLS) in healthcare: a condensed primer.
Kamel Boulos, Maged N; Berry, Geoff
2012-06-28
Real-time locating systems (RTLS, also known as real-time location systems) have become an important component of many existing ubiquitous location aware systems. While GPS (global positioning system) has been quite successful as an outdoor real-time locating solution, it fails to repeat this success indoors. A number of RTLS technologies have been used to solve indoor tracking problems. The ability to accurately track the location of assets and individuals indoors has many applications in healthcare. This paper provides a condensed primer of RTLS in healthcare, briefly covering the many options and technologies that are involved, as well as the various possible applications of RTLS in healthcare facilities and their potential benefits, including capital expenditure reduction and workflow and patient throughput improvements. The key to a successful RTLS deployment lies in picking the right RTLS option(s) and solution(s) for the application(s) or problem(s) at hand. Where this application-technology match has not been carefully thought of, any technology will be doomed to failure or to achieving less than optimal results.
NASA Astrophysics Data System (ADS)
Spiliotopoulos, I.; Mirmont, M.; Kruijff, M.
2008-08-01
This paper highlights the flight preparation and mission performance of a PC104-based On-Board Computer for ESA's second Young Engineer's Satellite (YES2), with additional attention to the flight software design and experience of QNX as multi-process real-time operating system. This combination of Commercial-Of-The-Shelf (COTS) technologies is an accessible option for small satellites with high computational demands.
Applying Real Options for Evaluating Investments in ERP Systems
NASA Astrophysics Data System (ADS)
Nakagane, Jun; Sekozawa, Teruji
This paper intends to verify effectiveness of real options approach for evaluating investments in Enterprise Resource Planning systems (ERP) and proves how important it is to disclose shadow options potentially embedded in ERP investment. The net present value (NPV) method is principally adopted to evaluate the value of ERP. However, the NPV method assumes no uncertainties exist in the object. It doesn't satisfy the current business circumstances which are filled with dynamic issues. Since the 1990s the effectiveness of option pricing models for Information System (IS) investment to solve issues in the NPV method has been discussed in the IS literature. This paper presents 3 business cases to review the practical advantages of such techniques for IS investments, especially ERP investments. The first case is EDI development. We evaluate the project by a new approach with lighting one of shadow options, EDI implementation. In the second case we reveal an ERP investment has an “expanding option” in a case of eliminating redundancy. The third case describes an option to contract which is deliberately slotted in ERP development to prepare transferring a manufacturing facility.
Solar PV leasing in Singapore: enhancing return on investments with options
NASA Astrophysics Data System (ADS)
Song, Shuang; Poh, K. L.
2017-05-01
Renewable energy is getting more important nowadays as an alternative to traditional energies. Solar energy, according to Energy Market Authority, is the most viable in the context of Singapore compared to other renewable energy sources due to land constraints. In light of the increasing adoption of solar power in Singapore, this paper focuses on solar PV leasing using a case study. This paper assesses the prospect for solar PV leasing companies in Singapore through the lens of embedded real options. The recent news that solar power is becoming the cheapest form of new electricity presents the leasing company an option to expand the scale of solar PV system. Taking into account this option, the Net Present Value (NPV) of the investment increased significantly compared to the case without real options. Technological developments result in a continuously changing environment with uncertainties. Thus, decision makers need to be aware of the inherent risk associated and identify options to maximize NPV. This upside potential is realized by exercising the managerial flexibility and exploiting the uncertainty. The paper enables solar energy planners to consider possible managerial flexibilities under uncertainties, showing how option thinking can be incorporated in the valuation of solar energy.
2006-09-30
allocated to intangible assets. With Proctor & Gamble’s $53.5 billion acquisition of Gillette , $31.5 billion or 59% of the total purchase price was... outsourcing , alliances, joint ventures) • Compound Option (platform options) • Sequential Options (stage-gate development, R&D, phased...Comparisons • RO/KVA could enhance outsourcing comparisons between the Government’s Most Efficient Organization (MEO) and private-sector
Evaluation of Foreign Investment in Power Plants using Real Options
NASA Astrophysics Data System (ADS)
Kato, Moritoshi; Zhou, Yicheng
This paper proposes new methods for evaluating foreign investment in power plants under market uncertainty using a real options approach. We suppose a thermal power plant project in a deregulated electricity market. One of our proposed methods is that we calculate the cash flow generated by the project in a reference year using actual market data to incorporate periodic characteristics of energy prices into a yearly cash flow model. We make the stochastic yearly cash flow model with the initial value which is the cash flow in the reference year, and certain trend and volatility. Then we calculate the real options value (ROV) of the project which has abandonment options using the yearly cash flow model. Another our proposed method is that we evaluate foreign currency/domestic currency exchange rate risk by representing ROV in foreign currency as yearly pay off and exchanging it to ROV in domestic currency using a stochastic exchange rate model. We analyze the effect of the heat rate and operation and maintenance costs of the power plant on ROV, and evaluate exchange rate risk through numerical examples. Our proposed method will be useful for the risk management of foreign investment in power plants.
Real Estate Education: A Curriculum Guide for a Two-year Post Secondary Program.
ERIC Educational Resources Information Center
Overton, R. Jean
This curriculum guide was designed to assist in the development of associate degree programs and/or options for real estate education in North Carolina community colleges. The real estate education program prescribed by this guide spans six academic quarters. The 28 courses listed cover such subject areas as real estate fundamentals, human…
Federal Register 2010, 2011, 2012, 2013, 2014
2011-08-02
... Change To Allow for the Clearing of Real Estate Index Futures Contracts July 27, 2011. Pursuant to... change would accommodate the clearing and settling of certain futures on real estate indexes (``Real... Change The purpose of this proposed rule change is to accommodate Real Estate Index Futures that are...
Investment Justification of Robotic Technology in Aerospace Manufacturing. User’s Manual
1984-10-01
assessing the economic attractiveness of investments in robotics and/or flexible manufacturing systems (FMS). It models the cash flows...relative. 5. RIDM assesses the inherent economic attractiveness of robotic/FMS implementation. The model is based on real economic events and not...provided for an optional analysis of state and local tax impacts, to be custom designed by the user. (2) Computation of Depreciation
Real-life decision making in college students. I: Consistency across specific decisions.
Galotti, Kathleen M; Wiener, Hillary J D; Tandler, Jane M
2014-01-01
First-year undergraduates participated in a short-term longitudinal study of real-life decision making over their first 14 months of college. They were surveyed about 7 different decisions: choosing courses for an upcoming term (3 different terms), choosing an academic major (twice), planning for the upcoming summer, and planning for sophomore-year housing. Participants showed moderate levels of consistency in the options they considered and in the criteria they used to decide between options, with about half of the options or criteria being used at 2 different points on the decision repeatedly studied. Participants varied somewhat in structural consistency, the tendency to consider the same number of options or criteria across decisions. They also varied in the way they integrated information across decision-making tasks. We suggest that people attempt to keep the information demands of the task within workable limits, sometimes sacrificing consistency as a result.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Marnay, Chris; Siddiqui, Afzal; Marnay, Chris
This paper examines a California-based microgrid?s decision to invest in a distributed generation (DG) unit fuelled by natural gas. While the long-term natural gas generation cost is stochastic, we initially assume that the microgrid may purchase electricity at a fixed retail rate from its utility. Using the real options approach, we find a natural gas generation cost threshold that triggers DG investment. Furthermore, the consideration of operational flexibility by the microgrid increases DG investment, while the option to disconnect from the utility is not attractive. By allowing the electricity price to be stochastic, we next determine an investment threshold boundarymore » and find that high electricity price volatility relative to that of natural gas generation cost delays investment while simultaneously increasing the value of the investment. We conclude by using this result to find the implicit option value of the DG unit when two sources of uncertainty exist.« less
Real-time data acquisition and control system for the measurement of motor and neural data
Bryant, Christopher L.; Gandhi, Neeraj J.
2013-01-01
This paper outlines a powerful, yet flexible real-time data acquisition and control system for use in the triggering and measurement of both analog and digital events. Built using the LabVIEW development architecture (version 7.1) and freely available, this system provides precisely timed auditory and visual stimuli to a subject while recording analog data and timestamps of neural activity retrieved from a window discriminator. The system utilizes the most recent real-time (RT) technology in order to provide not only a guaranteed data acquisition rate of 1 kHz, but a much more difficult to achieve guaranteed system response time of 1 ms. The system interface is windows-based and easy to use, providing a host of configurable options for end-user customization. PMID:15698659
Skipping the real world: Classification of PolSAR images without explicit feature extraction
NASA Astrophysics Data System (ADS)
Hänsch, Ronny; Hellwich, Olaf
2018-06-01
The typical processing chain for pixel-wise classification from PolSAR images starts with an optional preprocessing step (e.g. speckle reduction), continues with extracting features projecting the complex-valued data into the real domain (e.g. by polarimetric decompositions) which are then used as input for a machine-learning based classifier, and ends in an optional postprocessing (e.g. label smoothing). The extracted features are usually hand-crafted as well as preselected and represent (a somewhat arbitrary) projection from the complex to the real domain in order to fit the requirements of standard machine-learning approaches such as Support Vector Machines or Artificial Neural Networks. This paper proposes to adapt the internal node tests of Random Forests to work directly on the complex-valued PolSAR data, which makes any explicit feature extraction obsolete. This approach leads to a classification framework with a significantly decreased computation time and memory footprint since no image features have to be computed and stored beforehand. The experimental results on one fully-polarimetric and one dual-polarimetric dataset show that, despite the simpler approach, accuracy can be maintained (decreased by only less than 2 % for the fully-polarimetric dataset) or even improved (increased by roughly 9 % for the dual-polarimetric dataset).
NASA Astrophysics Data System (ADS)
Utomo, C.; Rahmawati, Y.; Pararta, D. L.; Ariesta, A.
2017-11-01
Readiness of infrastructure establishment is needed in the early phase of real estate development. To meet the needs of retail property in the form of traditional markets, the Government prepares to build a new 1300 units. Traditional market development requires infrastructure development. One of it is the preparation of sand material embankment as much as ± 200,000 m3. With a distance of 30 km, sand material can be delivered to the project site by dump trucks that can only be operated by 2 trip per day. The material is managed by using stockpile method. Decision of stockpile location requires multi person and multi criteria in a collaborative environment. The highest and the best use (HBU) criteria was used to construct a value-based decision hierarchy. Decision makers from five stakeholders analyzed the best of three locations by giving their own preference of development cost and HBU function. Analytical Hierarchy Process (AHP) based on satisfying options and cooperative game was applied for agreement options and coalition formation on collaborative decision. The result indicates that not all solutions become a possible location for the stockpile material. It shows the ‘best fit’ options process for all decision makers.
Compernolle, T; Van Passel, S; Huisman, K; Kort, P
2014-10-15
Many studies on technology adoption demonstrate that uncertainty leads to a postponement of investments by integrating a wait option in the economic analysis. The aim of this study however is to demonstrate how the investment in new technologies can be stimulated by integrating an option to abandon. Furthermore, this real option analysis not only considers the ex ante decision analysis of the investment in a new technology under uncertainty, but also allows for an ex post evaluation of the investment. Based on a case study regarding the adoption of an innovative groundwater remediation strategy, it is demonstrated that when the option to abandon the innovative technology is taken into account, the decision maker decides to invest in this technology, while at the same time it determines an optimal timing to abandon the technology if its operation proves to be inefficient. To reduce uncertainty about the effectiveness of groundwater remediation technologies, samples are taken. Our analysis shows that when the initial belief in an effective innovative technology is low, it is important that these samples provide correct information in order to justify the adoption of the innovative technology. Copyright © 2014 Elsevier B.V. All rights reserved.
Research of real-time communication software
NASA Astrophysics Data System (ADS)
Li, Maotang; Guo, Jingbo; Liu, Yuzhong; Li, Jiahong
2003-11-01
Real-time communication has been playing an increasingly important role in our work, life and ocean monitor. With the rapid progress of computer and communication technique as well as the miniaturization of communication system, it is needed to develop the adaptable and reliable real-time communication software in the ocean monitor system. This paper involves the real-time communication software research based on the point-to-point satellite intercommunication system. The object-oriented design method is adopted, which can transmit and receive video data and audio data as well as engineering data by satellite channel. In the real-time communication software, some software modules are developed, which can realize the point-to-point satellite intercommunication in the ocean monitor system. There are three advantages for the real-time communication software. One is that the real-time communication software increases the reliability of the point-to-point satellite intercommunication system working. Second is that some optional parameters are intercalated, which greatly increases the flexibility of the system working. Third is that some hardware is substituted by the real-time communication software, which not only decrease the expense of the system and promotes the miniaturization of communication system, but also aggrandizes the agility of the system.
Towse, Adrian; Garrison, Louis P
2010-01-01
This article examines performance-based risk-sharing agreements for pharmaceuticals from a theoretical economic perspective. We position these agreements as a form of coverage with evidence development. New performance-based risk sharing could produce a more efficient market equilibrium, achieved by adjustment of the price post-launch to reflect outcomes combined with a new approach to the post-launch costs of evidence collection. For this to happen, the party best able to manage or to bear specific risks must do so. Willingness to bear risk will depend not only on ability to manage it, but on the degree of risk aversion. We identify three related frameworks that provide relevant insights: value of information, real option theory and money-back guarantees. We identify four categories of risk sharing: budget impact, price discounting, outcomes uncertainty and subgroup uncertainty. We conclude that a value of information/real option framework is likely to be the most helpful approach for understanding the costs and benefits of risk sharing. There are a number of factors that are likely to be crucial in determining if performance-based or risk-sharing agreements are efficient and likely to become more important in the future: (i) the cost and practicality of post-launch evidence collection relative to pre-launch; (ii) the feasibility of coverage with evidence development without a pre-agreed contract as to how the evidence will be used to adjust price, revenues or use, in which uncertainty around the pay-off to additional research will reduce the incentive for the manufacturer to collect the information; (iii) the difficulty of writing and policing risk-sharing agreements; (iv) the degree of risk aversion (and therefore opportunity to trade) on the part of payers and manufacturers; and (v) the extent of transferability of data from one country setting to another to support coverage with evidence development in a risk-sharing framework. There is no doubt that--in principle--risk sharing can provide manufacturers and payers additional real options that increase overall efficiency. Given the lack of empirical evidence on the success of schemes already agreed and on the issues we set out above, it is too early to tell if the recent surge of interest in these arrangements is likely to be a trend or only a fad.
Valuing natural gas power generation assets in the new competitive marketplace
NASA Astrophysics Data System (ADS)
Hsu, Michael Chun-Wei
1999-10-01
The profitability of natural gas fired power plants depends critically on the spread between electricity and natural gas prices. The price levels of these two energy commodities are the key uncertain variables in determining the operating margin and therefore the value of a power plant. The owner of a generation unit has the decision of dispatching the plant only when profit margins are positive. This operating flexibility is a real option with real value. In this dissertation I introduce the spark spread call options and illustrate how such paper contracts replicate the uncertain payoff space facing power asset owners and, therefore, how the financial options framework can be applied in estimating the value of natural gas generation plants. The intrinsic value of gas power plants is approximated as the sum of a series of spark spread call options with succeeding maturity dates. The Black-Scholes spread option pricing model, with volatility and correlation term structure adjustments, is utilized to price the spark spread options. Sensitivity analysis is also performed on the BS spread option formulation to compare different asset types. In addition I explore the potential of using compound and compound-exchange option concepts to evaluate, respectively, the benefits of delaying investment in new generation and in repowering existing antiquated units. The compound option designates an option on top of another option. In this case the series of spark spread call options is the 'underlying' option while the option to delay new investments is the 'overlying.' The compound-exchange option characterizes the opportunity to 'exchange' the old power plant, with its series of spark spread call options, for a set of new spark spread call options that comes with the new generation unit. The strike price of the compound-exchange option is the repowering capital investment and typically includes the purchase of new steam generators and combustion turbines, as well as other facility upgrades. The pricing results using the proposed repowering option approach is compared to the sale prices from recent power plant auctions. Sensitivity of the repowering option model is also examined and the critical parameters al parameters identified.
A non-Gaussian option pricing model based on Kaniadakis exponential deformation
NASA Astrophysics Data System (ADS)
Moretto, Enrico; Pasquali, Sara; Trivellato, Barbara
2017-09-01
A way to make financial models effective is by letting them to represent the so called "fat tails", i.e., extreme changes in stock prices that are regarded as almost impossible by the standard Gaussian distribution. In this article, the Kaniadakis deformation of the usual exponential function is used to define a random noise source in the dynamics of price processes capable of capturing such real market phenomena.
Financial valuation of incentive arrangements in managed care contracts: a real options approach.
Maurer, R T
2001-01-01
Managed care provider contracts with risk-based compensation arrangements are similar to derivative securities in that the value of a contract depends on the value of a more fundamental asset: the health plan's investment in the provider's member panel. As such, the financial value of the incentive to avoid investing in the health of the member panel can be modeled using financial engineering techniques.
A Real Options Approach to Valuing the Risk Transfer in a Multi-Year Procurement Contract
2009-10-01
asset follows a Brownian motion process where the returns have a lognormal distribution. H. BLACK-SCHOLES MODEL The value of the put option p on...risk in a firm-fixed-price contract. The government also provides interest-free financing that can greatly reduce the amount of capital a contractor...structured finance and credit default swap applications. 8 E. OPTIONS THEORY We will use closed form BS-type option pricing methods to estimate the
Converting existing real estate assets to cash through off-balance sheet financing.
Cella, M D
1994-01-01
Hospitals are realizing that they can tap hidden equity tied up in their medical office buildings and other ancillary facilities and use the capital to grow their core health care business, retool patient rooms, purchase equipment, technology, and physician practices, or simply pay down debt. Through selling their ancillary real estate assets, they can generate much-needed capital liquidity, yet still retain the control they need through restrictive covenants on uses and tenancies, repurchase options, rights of first refusal, and master leasing with creative options to expand or contract.
NASA Astrophysics Data System (ADS)
Wang, Mulan Xiaofeng
My dissertation concentrates on several aspects of supply chain management and economic valuation of real options in the natural gas and liquefied natural gas (LNG) industry, including gas pipeline transportations, ocean LNG shipping logistics, and downstream storage. Chapter 1 briefly introduces the natural gas and LNG industries, and the topics studied in this thesis. Chapter 2 studies how to value U.S. natural gas pipeline network transport contracts as real options. It is common for natural gas shippers to value and manage contracts by simple adaptations of financial spread option formulas that do not fully account for the implications of the capacity limits and the network structure that distinguish these contracts. In contrast, we show that these operational features can be fully captured and integrated with financial considerations in a fairly easy and managerially significant manner by a model that combines linear programming and simulation. We derive pathwise estimators for the so called deltas and structurally characterize them. We interpret them in a novel fashion as discounted expectations, under a specific weighing distribution, of the amounts of natural gas to be procured/marketed when optimally using pipeline capacity. Based on the actual prices of traded natural gas futures and basis swaps, we show that an enhanced version of the common approach employed in practice can significantly underestimate the true value of natural gas pipeline network capacity. Our model also exhibits promising financial (delta) hedging performance. Thus, this model emerges as an easy to use and useful tool that natural gas shippers can employ to support their valuation and delta hedging decisions concerning natural gas pipeline network transport capacity contracts. Moreover, the insights that follow from our data analysis have broader significance and implications in terms of the management of real options beyond our specific application. Motivated by current developments in the LNG industry, Chapter 3 studies the operations of LNG supply chains facing both supply and price risk. To model the supply uncertainty, we employ a closed-queuing-network (CQN) model to represent upstream LNG production and shipping, via special oceans-going tankers, to a downstream re-gasification facility in the U.S, which sells natural gas into the wholesale spot market. The CQN shipping model analytically generates the unloaded amount probability distribution. Price uncertainty is captured by the spot price, which experiences both volatility and significant seasonality, i.e., higher prices in winter. We use a trinomial lattice to model the price uncertainty, and calibrate to the extended forward curves. Taking the outputs from the CQN model and the spot price model as stochastic inputs, we formulate a real option inventory-release model to study the benefit of optimally managing a downstream LNG storage facility. This allows characterization of the structure of the optimal inventory management policy. An interesting finding is that when it is optimal to sell, it is not necessarily optimal to sell the entire available inventory. The model can be used by LNG players to value and manage the real option to store LNG at a re-gasification facility, and is easy to be implemented. For example, this model is particularly useful to value leasing contracts for portions of the facility capacity. Real data is used to assess the value of the real option to store LNG at the downstream re-gasification facility, and, contrary to what has been claimed by some practitioners, we find that it has significant value (several million dollars). Chapter 4 studies the importance of modeling the shipping variability when valuing and managing a downstream LNG storage facility. The shipping model presented in Chapter 3 uses a "rolling forward" method to generate the independent and identically distributed (i.i.d.) unloaded amount in each decision period. We study the merit of the i.i.d. assumption by using simulation and developing an upper bound. We show that the model, which uses the i.i.d. unloaded amount, provides a good estimation of the storage value, and yields a near optimal inventory control policy. We also test the performance of a model that uses constant throughput to determine the inventory release policy. This model performs worse than the model of Chapter 3 for storage valuation purposes, but can be used to suggest the optimal inventory control policy, especially when the ratio of flow rate to storage size is high, i.e., storage is scarce. Chapter 5 summarizes the contributions of this thesis.
A capital idea. Bonds and nontraditional financing options.
Wareham, Therese L
2004-05-01
Not-for-profit healthcare organizations have four basic sources of capital: internal sources, philanthropy, asset sales, and external sources. External sources, in particular, offer a wealth of options that are important for such organizations--especially those facing significant capital shortfalls--to consider. External sources include bond offerings and nontraditional offerings, such as receivables financing, off-balance-sheet options, real estate investment trusts, and subordinated securities.
Federal Register 2010, 2011, 2012, 2013, 2014
2010-04-14
... time.\\4\\ \\4\\ CBOE maintains a micro-site for GVZ options at: http://www.cboe.com/gvz . See proposed... underlying option series on a real-time basis throughout each trading day, from 8:30 a.m. until 3 p.m. (CT... cease at 3 p.m. (CT) on the business day immediately preceding the expiration date.\\8\\ Exercise will...
NASA Astrophysics Data System (ADS)
Liechti, K.; Panziera, L.; Germann, U.; Zappa, M.
2013-10-01
This study explores the limits of radar-based forecasting for hydrological runoff prediction. Two novel radar-based ensemble forecasting chains for flash-flood early warning are investigated in three catchments in the southern Swiss Alps and set in relation to deterministic discharge forecasts for the same catchments. The first radar-based ensemble forecasting chain is driven by NORA (Nowcasting of Orographic Rainfall by means of Analogues), an analogue-based heuristic nowcasting system to predict orographic rainfall for the following eight hours. The second ensemble forecasting system evaluated is REAL-C2, where the numerical weather prediction COSMO-2 is initialised with 25 different initial conditions derived from a four-day nowcast with the radar ensemble REAL. Additionally, three deterministic forecasting chains were analysed. The performance of these five flash-flood forecasting systems was analysed for 1389 h between June 2007 and December 2010 for which NORA forecasts were issued, due to the presence of orographic forcing. A clear preference was found for the ensemble approach. Discharge forecasts perform better when forced by NORA and REAL-C2 rather then by deterministic weather radar data. Moreover, it was observed that using an ensemble of initial conditions at the forecast initialisation, as in REAL-C2, significantly improved the forecast skill. These forecasts also perform better then forecasts forced by ensemble rainfall forecasts (NORA) initialised form a single initial condition of the hydrological model. Thus the best results were obtained with the REAL-C2 forecasting chain. However, for regions where REAL cannot be produced, NORA might be an option for forecasting events triggered by orographic precipitation.
A microcomputer based traffic evacuation modeling system for emergency planning application
DOE Office of Scientific and Technical Information (OSTI.GOV)
Rathi, A.K.
1994-12-01
Vehicular evacuation is one of the major and often preferred protective action options available for emergency management in a real or anticipated disaster. Computer simulation models of evacuation traffic flow are used to estimate the time required for the affected populations to evacuate to safer areas, to evaluate effectiveness of vehicular evacuations as a protective action option. and to develop comprehensive evacuation plans when required. Following a review of the past efforts to simulate traffic flow during emergency evacuations, an overview of the key features in Version 2.0 of the Oak Ridge Evacuation Modeling System (OREMS) are presented in thismore » paper. OREMS is a microcomputer-based model developed to simulate traffic flow during regional emergency evacuations. OREMS integrates a state-of-the-art dynamic traffic flow and simulation model with advanced data editing and output display programs operating under a MS-Windows environment.« less
NASA Astrophysics Data System (ADS)
Davies, N.; Davies-Shaw, D.; Shaw, J. D.
2007-02-01
We report firsthand on innovative developments in non-invasive, biophotonic techniques for a wide range of diagnostic, imaging and treatment options, including the recognition and quantification of cancerous, pre-cancerous cells and chronic inflammatory conditions. These techniques have benefited from the ability to target the affected site by both monochromatic light and broad multiple wavelength spectra. The employment of such wavelength or color-specific properties embraces the fluorescence stimulation of various photosensitizing drugs, and the instigation and detection of identified fluorescence signatures attendant upon laser induced fluorescence (LIF) phenomena as transmitted and propagated by precancerous, cancerous and normal tissue. In terms of tumor imaging and therapeutic and treatment options, we have exploited the abilities of various wavelengths to penetrate to different depths, through different types of tissues, and have explored quantifiable absorption and reflection characteristics upon which diagnostic assumptions can be reliably based and formulated. These biophotonic-based diagnostic, sensing and imaging techniques have also benefited from, and have been further enhanced by, the integrated ability to provide various power levels to be employed at various stages in the procedure. Applications are myriad, including non-invasive, non destructive diagnosis of in vivo cell characteristics and functions; light-based tissue analysis; real-time monitoring and mapping of brain function and of tumor growth; real time monitoring of the surgical completeness of tumor removal during laser-imaged/guided brain resection; diagnostic procedures based on fluorescence life-time monitoring, the monitoring of chronic inflammatory conditions (including rheumatoid arthritis), and continuous blood glucose monitoring in the control of diabetes.
NASA Astrophysics Data System (ADS)
Dinh, Minh-Chau; Ju, Chang-Hyeon; Kim, Sung-Kyu; Kim, Jin-Geun; Park, Minwon; Yu, In-Keun
2013-01-01
The combination of a high temperature superconducting DC power cable and a voltage source converter based HVDC (VSC-HVDC) creates a new option for transmitting power with multiple collection and distribution points for long distance and bulk power transmissions. It offers some greater advantages compared with HVAC or conventional HVDC transmission systems, and it is well suited for the grid integration of renewable energy sources in existing distribution or transmission systems. For this reason, a superconducting DC transmission system based HVDC transmission technologies is planned to be set up in the Jeju power system, Korea. Before applying this system to a real power system on Jeju Island, system analysis should be performed through a real time test. In this paper, a model-sized superconducting VSC-HVDC system, which consists of a small model-sized VSC-HVDC connected to a 2 m YBCO HTS DC model cable, is implemented. The authors have performed the real-time simulation method that incorporates the model-sized superconducting VSC-HVDC system into the simulated Jeju power system using Real Time Digital Simulator (RTDS). The performance analysis of the superconducting VSC-HVDC systems has been verified by the proposed test platform and the results were discussed in detail.
NASA Astrophysics Data System (ADS)
Dinh, Minh-Chau; Ju, Chang-Hyeon; Kim, Sung-Kyu; Kim, Jin-Geun; Park, Minwon; Yu, In-Keun
2012-08-01
The combination of a high temperature superconducting DC power cable and a voltage source converter based HVDC (VSC-HVDC) creates a new option for transmitting power with multiple collection and distribution points for long distance and bulk power transmissions. It offers some greater advantages compared with HVAC or conventional HVDC transmission systems, and it is well suited for the grid integration of renewable energy sources in existing distribution or transmission systems. For this reason, a superconducting DC transmission system based HVDC transmission technologies is planned to be set up in the Jeju power system, Korea. Before applying this system to a real power system on Jeju Island, system analysis should be performed through a real time test. In this paper, a model-sized superconducting VSC-HVDC system, which consists of a small model-sized VSC-HVDC connected to a 2 m YBCO HTS DC model cable, is implemented. The authors have performed the real-time simulation method that incorporates the model-sized superconducting VSC-HVDC system into the simulated Jeju power system using Real Time Digital Simulator (RTDS). The performance analysis of the superconducting VSC-HVDC systems has been verified by the proposed test platform and the results were discussed in detail.
Decision-making in state lotteries: half now or all of it later?
Baker, Forest; Johnson, Matthew W; Bickel, Warren K
2003-12-01
Many state lotteries offer players a choice between receiving roughly half of the jackpot immediately and receiving the entire jackpot over 25 annual payments. This requires players to make a decision that involves uncertainty, delay, and large amounts of real money. Archival data on lottery players' jackpot payment decisions were collected from seven state and three multistate lotteries. Players' jackpot payment preferences were assessed at the time of ticket purchase and after winning a jackpot. Preference for the annuity payment option significantly decreased as jackpot size increased, both at the time of ticket purchase and after winning. Furthermore, a significant proportion of winners who selected the annuity payment option at ticket purchase switched to the cash payment option after winning, whereas no winners switched from the cash to the annuity option after winning. These findings suggest that real-world choices involving large sums of money may be subject to diminishing marginal utility and probability and delay discounting.
The tale of hearts and reason: the influence of mood on decision making.
Laborde, Sylvain; Raab, Markus
2013-08-01
In decision-making research, one important aspect of real-life decisions has so far been neglected: the mood of the decision maker when generating options. The authors tested the use of the take-the-first (TTF) heuristic and extended the TTF model to understand how mood influences the option-generation process of individuals in two studies, the first using a between-subjects design (30 nonexperts, 30 near-experts, and 30 experts) and the second conceptually replicating the first using a within-subject design (30 nonexperts). Participants took part in an experimental option-generation task, with 31 three-dimensional videos of choices in team handball. Three moods were elicited: positive, neutral, and negative. The findings (a) replicate previous results concerning TTF and (b) show that the option-generation process was associated with the physiological component of mood, supporting the neurovisceral integration model. The extension of TTF to processing emotional factors is an important step forward in explaining fast choices in real-life situations.
Performance improvement: an active life cycle product management
NASA Astrophysics Data System (ADS)
Cucchiella, Federica; Gastaldi, Massimo; Lenny Koh, S. C.
2010-03-01
The management of the supply chain has gained importance in many manufacturing firms. Operational flexibility can be considered a crucial weapon to increase competitiveness in a turbulent marketplace. It reflects the ability of a firm to properly and rapidly respond to a variable and dynamic environment. For the firm operating in a fashion sector, the management of the supply chain is even more complex because the product life cycle is shorter than that of the firm operating in a non-fashion sector. The increase of firm flexibility level can be reached through the application of the real option theory inside the firm network. In fact, real option may increase the project value by allowing managers to more efficiently direct the production. The real option application usually analysed in literature does not take into account that the demands of products are well-defined by the product life cycle. Working on a fashion sector, the life cycle pattern is even more relevant because of an expected demand that grows according to a constant rate that does not capture the demand dynamics of the underlying fashion goods. Thus, the primary research objective of this article is to develop a model useful for the management of investments in a supply chain operating in a fashion sector where the system complexity is increased by the low level of unpredictability and stability that is proper of the mood phenomenon. Moreover, unlike the traditional model, a real option framework is presented here that considers fashion product characterised by uncertain stages of the production cycle.
Expensing options solves nothing.
Sahlman, William A
2002-12-01
The use of stock options for executive compensation has become a lightning rod for public anger, and it's easy to see why. Many top executives grew hugely rich on the back of the gains they made on their options, profits they've been able to keep even as the value they were supposed to create disappeared. The supposed scam works like this: Current accounting regulations let companies ignore the cost of option grants on their income statements, so they can award valuable option packages without affecting reported earnings. Not charging the cost of the grants supposedly leads to overstated earnings, which purportedly translate into unrealistically high share prices, permitting top executives to realize big gains when they exercise their options. If an accounting anomaly is the problem, then the solution seems obvious: Write off executive share options against the current year's revenues. The trouble is, Sahlman writes, expensing option grants won't give us a more accurate view of earnings, won't add any information not already included in the financial statements, and won't even lead to equal treatment of different forms of executive pay. Far worse, expensing evades the real issue, which is whether compensation (options and other-wise) does what it's supposed to do--namely, help a company recruit, retain, and provide the right people with appropriate performance incentives. Any performance-based compensation system has the potential to encourage cheating. Only ethical management, sensible governance, adequate internal control systems, and comprehensive disclosure will save the investor from disaster. If, Sahlman warns, we pass laws that require the expensing of options, thinking that's fixed the fundamental flaws in corporate America's accounting, we will have missed a golden opportunity to focus on the much more extensive defects in the present system.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-12-31
... month fee if they elect to subscribe to a service that provides real-time series information data. OCC... and processes to accommodate real-time feeds of Series Information data to Subscribers; however... these costs, OCC plans to charge a $250 per month fee to Subscribers receiving real-time Series...
Suitability of Smartphone Inertial Sensors for Real-Time Biofeedback Applications.
Kos, Anton; Tomažič, Sašo; Umek, Anton
2016-02-27
This article studies the suitability of smartphones with built-in inertial sensors for biofeedback applications. Biofeedback systems use various sensors to measure body functions and parameters. These sensor data are analyzed, and the results are communicated back to the user, who then tries to act on the feedback signals. Smartphone inertial sensors can be used to capture body movements in biomechanical biofeedback systems. These sensors exhibit various inaccuracies that induce significant angular and positional errors. We studied deterministic and random errors of smartphone accelerometers and gyroscopes, primarily focusing on their biases. Based on extensive measurements, we determined accelerometer and gyroscope noise models and bias variation ranges. Then, we compiled a table of predicted positional and angular errors under various biofeedback system operation conditions. We suggest several bias compensation options that are suitable for various examples of use in real-time biofeedback applications. Measurements within the developed experimental biofeedback application show that under certain conditions, even uncompensated sensors can be used for real-time biofeedback. For general use, especially for more demanding biofeedback applications, sensor biases should be compensated. We are convinced that real-time biofeedback systems based on smartphone inertial sensors are applicable to many similar examples in sports, healthcare, and other areas.
Suitability of Smartphone Inertial Sensors for Real-Time Biofeedback Applications
Kos, Anton; Tomažič, Sašo; Umek, Anton
2016-01-01
This article studies the suitability of smartphones with built-in inertial sensors for biofeedback applications. Biofeedback systems use various sensors to measure body functions and parameters. These sensor data are analyzed, and the results are communicated back to the user, who then tries to act on the feedback signals. Smartphone inertial sensors can be used to capture body movements in biomechanical biofeedback systems. These sensors exhibit various inaccuracies that induce significant angular and positional errors. We studied deterministic and random errors of smartphone accelerometers and gyroscopes, primarily focusing on their biases. Based on extensive measurements, we determined accelerometer and gyroscope noise models and bias variation ranges. Then, we compiled a table of predicted positional and angular errors under various biofeedback system operation conditions. We suggest several bias compensation options that are suitable for various examples of use in real-time biofeedback applications. Measurements within the developed experimental biofeedback application show that under certain conditions, even uncompensated sensors can be used for real-time biofeedback. For general use, especially for more demanding biofeedback applications, sensor biases should be compensated. We are convinced that real-time biofeedback systems based on smartphone inertial sensors are applicable to many similar examples in sports, healthcare, and other areas. PMID:26927125
Instance-based learning: integrating sampling and repeated decisions from experience.
Gonzalez, Cleotilde; Dutt, Varun
2011-10-01
In decisions from experience, there are 2 experimental paradigms: sampling and repeated-choice. In the sampling paradigm, participants sample between 2 options as many times as they want (i.e., the stopping point is variable), observe the outcome with no real consequences each time, and finally select 1 of the 2 options that cause them to earn or lose money. In the repeated-choice paradigm, participants select 1 of the 2 options for a fixed number of times and receive immediate outcome feedback that affects their earnings. These 2 experimental paradigms have been studied independently, and different cognitive processes have often been assumed to take place in each, as represented in widely diverse computational models. We demonstrate that behavior in these 2 paradigms relies upon common cognitive processes proposed by the instance-based learning theory (IBLT; Gonzalez, Lerch, & Lebiere, 2003) and that the stopping point is the only difference between the 2 paradigms. A single cognitive model based on IBLT (with an added stopping point rule in the sampling paradigm) captures human choices and predicts the sequence of choice selections across both paradigms. We integrate the paradigms through quantitative model comparison, where IBLT outperforms the best models created for each paradigm separately. We discuss the implications for the psychology of decision making. © 2011 American Psychological Association
An explicit closed-form analytical solution for European options under the CGMY model
NASA Astrophysics Data System (ADS)
Chen, Wenting; Du, Meiyu; Xu, Xiang
2017-01-01
In this paper, we consider the analytical pricing of European path-independent options under the CGMY model, which is a particular type of pure jump Le´vy process, and agrees well with many observed properties of the real market data by allowing the diffusions and jumps to have both finite and infinite activity and variation. It is shown that, under this model, the option price is governed by a fractional partial differential equation (FPDE) with both the left-side and right-side spatial-fractional derivatives. In comparison to derivatives of integer order, fractional derivatives at a point not only involve properties of the function at that particular point, but also the information of the function in a certain subset of the entire domain of definition. This ;globalness; of the fractional derivatives has added an additional degree of difficulty when either analytical methods or numerical solutions are attempted. Albeit difficult, we still have managed to derive an explicit closed-form analytical solution for European options under the CGMY model. Based on our solution, the asymptotic behaviors of the option price and the put-call parity under the CGMY model are further discussed. Practically, a reliable numerical evaluation technique for the current formula is proposed. With the numerical results, some analyses of impacts of four key parameters of the CGMY model on European option prices are also provided.
Chapman, E.; Eastman, A.; Gilmore-Bykovskyi, A.; Vogelman, B.; Kind, A. J.
2016-01-01
Older adults often face poor outcomes when transitioning from hospital to home. Although physicians play a key role in overseeing transitions, there is a lack of practice-based educational programs that prepare resident physicians to manage care transitions of older adults. An educational intervention to provide residents with real-life transitional care practice was therefore developed – Resident-coordinated Transitional Care (RC-TraC). RC-TraC adapted the evidence-based Coordinated-Transitional Care (C-TraC) nurse role for residents, providing opportunities to follow patients during the peri-hospital period without additional costs to the residency program. Between July 2010 and June 2013, thirty-one Internal Medicine residents participated in RC-TraC, caring for 721 patients. RC-TraC has been a sustainable, low-cost, practice-based education experience that is recognized as transitional care education by residents and continues in operation to this day. RC-TraC is a promising option for geriatric-based transitional care education of resident physicians and could also be adapted for non-physician learners. PMID:27749162
An Object-Oriented Graphical User Interface for a Reusable Rocket Engine Intelligent Control System
NASA Technical Reports Server (NTRS)
Litt, Jonathan S.; Musgrave, Jeffrey L.; Guo, Ten-Huei; Paxson, Daniel E.; Wong, Edmond; Saus, Joseph R.; Merrill, Walter C.
1994-01-01
An intelligent control system for reusable rocket engines under development at NASA Lewis Research Center requires a graphical user interface to allow observation of the closed-loop system in operation. The simulation testbed consists of a real-time engine simulation computer, a controls computer, and several auxiliary computers for diagnostics and coordination. The system is set up so that the simulation computer could be replaced by the real engine and the change would be transparent to the control system. Because of the hard real-time requirement of the control computer, putting a graphical user interface on it was not an option. Thus, a separate computer used strictly for the graphical user interface was warranted. An object-oriented LISP-based graphical user interface has been developed on a Texas Instruments Explorer 2+ to indicate the condition of the engine to the observer through plots, animation, interactive graphics, and text.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Huang, Renke; Jin, Shuangshuang; Chen, Yousu
This paper presents a faster-than-real-time dynamic simulation software package that is designed for large-size power system dynamic simulation. It was developed on the GridPACKTM high-performance computing (HPC) framework. The key features of the developed software package include (1) faster-than-real-time dynamic simulation for a WECC system (17,000 buses) with different types of detailed generator, controller, and relay dynamic models, (2) a decoupled parallel dynamic simulation algorithm with optimized computation architecture to better leverage HPC resources and technologies, (3) options for HPC-based linear and iterative solvers, (4) hidden HPC details, such as data communication and distribution, to enable development centered on mathematicalmore » models and algorithms rather than on computational details for power system researchers, and (5) easy integration of new dynamic models and related algorithms into the software package.« less
Designing flexible engineering systems utilizing embedded architecture options
NASA Astrophysics Data System (ADS)
Pierce, Jeff G.
This dissertation develops and applies an integrated framework for embedding flexibility in an engineered system architecture. Systems are constantly faced with unpredictability in the operational environment, threats from competing systems, obsolescence of technology, and general uncertainty in future system demands. Current systems engineering and risk management practices have focused almost exclusively on mitigating or preventing the negative consequences of uncertainty. This research recognizes that high uncertainty also presents an opportunity to design systems that can flexibly respond to changing requirements and capture additional value throughout the design life. There does not exist however a formalized approach to designing appropriately flexible systems. This research develops a three stage integrated flexibility framework based on the concept of architecture options embedded in the system design. Stage One defines an eight step systems engineering process to identify candidate architecture options. This process encapsulates the operational uncertainty though scenario development, traces new functional requirements to the affected design variables, and clusters the variables most sensitive to change. The resulting clusters can generate insight into the most promising regions in the architecture to embed flexibility in the form of architecture options. Stage Two develops a quantitative option valuation technique, grounded in real options theory, which is able to value embedded architecture options that exhibit variable expiration behavior. Stage Three proposes a portfolio optimization algorithm, for both discrete and continuous options, to select the optimal subset of architecture options, subject to budget and risk constraints. Finally, the feasibility, extensibility and limitations of the framework are assessed by its application to a reconnaissance satellite system development problem. Detailed technical data, performance models, and cost estimates were compiled for the Tactical Imaging Constellation Architecture Study and leveraged to complete a realistic proof-of-concept.
SimExTargId: A comprehensive package for real-time LC-MS data acquisition and analysis.
Edmands, William M B; Hayes, Josie; Rappaport, Stephen M
2018-05-22
Liquid chromatography mass spectrometry (LC-MS) is the favored method for untargeted metabolomic analysis of small molecules in biofluids. Here we present SimExTargId, an open-source R package for autonomous analysis of metabolomic data and real-time observation of experimental runs. This simultaneous, fully automated and multi-threaded (optional) package is a wrapper for vendor-independent format conversion (ProteoWizard), xcms- and CAMERA- based peak-picking, MetMSLine-based pre-processing and covariate-based statistical analysis. Users are notified of detrimental instrument drift or errors by email. Also included are two shiny applications, targetId for real-time MS2 target identification, and peakMonitor to monitor targeted metabolites. SimExTargId is publicly available under GNU LGPL v3.0 license at https://github.com/JosieLHayes/simExTargId, which includes a vignette with example data. SimExTargId should be installed on a dedicated data-processing workstation or server that is networked to the LC-MS platform to facilitate MS1 profiling of metabolomic data. josie.hayes@berkeley.edu. Supplementary data are available at Bioinformatics online.
General Flow-Solver Code for Turbomachinery Applications
NASA Technical Reports Server (NTRS)
Dorney, Daniel; Sondak, Douglas
2006-01-01
Phantom is a computer code intended primarily for real-fluid turbomachinery problems. It is based on Corsair, an ideal-gas turbomachinery code, developed by the same authors, which evolved from the ROTOR codes from NASA Ames. Phantom is applicable to real and ideal fluids, both compressible and incompressible, flowing at subsonic, transonic, and supersonic speeds. It utilizes structured, overset, O- and H-type zonal grids to discretize flow fields and represent relative motions of components. Values on grid boundaries are updated at each time step by bilinear interpolation from adjacent grids. Inviscid fluxes are calculated to third-order spatial accuracy using Roe s scheme. Viscous fluxes are calculated using second-order-accurate central differences. The code is second-order accurate in time. Turbulence is represented by a modified Baldwin-Lomax algebraic model. The code offers two options for determining properties of fluids: One is based on equations of state, thermodynamic departure functions, and corresponding state principles. The other, which is more efficient, is based on splines generated from tables of properties of real fluids. Phantom currently contains fluid-property routines for water, hydrogen, oxygen, nitrogen, kerosene, methane, and carbon monoxide as well as ideal gases.
Options for the Future of the US National Strong-Motion Program
,
1997-01-01
This report constitutes the requested 'Options Document'. This report considers three options. Option I assumes a constant level of financial support for Operating Expenses (OE) with not additional personnel support. Option II assumes a slight increase in OE support of $150K for FY 99 and beyond. Option III considers the role that a NSMP must play if the nation's urgent need to record the main earthquake at locations of significance for society is to be met. Two parts of Option III are considered. The first part of this option, termed Option III A, considers the role that strong-motion recording in and near man-made structures must play if a near-real time hazard initiative is to be implemented in the United States; The second part of Option III; termed Option III B, considers the scope of a NSMP needed to address society's needs to record the main earthquake in locations of significance for future public earthquake safety.
Theory of Financial Risk and Derivative Pricing
NASA Astrophysics Data System (ADS)
Bouchaud, Jean-Philippe; Potters, Marc
2009-01-01
Foreword; Preface; 1. Probability theory: basic notions; 2. Maximum and addition of random variables; 3. Continuous time limit, Ito calculus and path integrals; 4. Analysis of empirical data; 5. Financial products and financial markets; 6. Statistics of real prices: basic results; 7. Non-linear correlations and volatility fluctuations; 8. Skewness and price-volatility correlations; 9. Cross-correlations; 10. Risk measures; 11. Extreme correlations and variety; 12. Optimal portfolios; 13. Futures and options: fundamental concepts; 14. Options: hedging and residual risk; 15. Options: the role of drift and correlations; 16. Options: the Black and Scholes model; 17. Options: some more specific problems; 18. Options: minimum variance Monte-Carlo; 19. The yield curve; 20. Simple mechanisms for anomalous price statistics; Index of most important symbols; Index.
Theory of Financial Risk and Derivative Pricing - 2nd Edition
NASA Astrophysics Data System (ADS)
Bouchaud, Jean-Philippe; Potters, Marc
2003-12-01
Foreword; Preface; 1. Probability theory: basic notions; 2. Maximum and addition of random variables; 3. Continuous time limit, Ito calculus and path integrals; 4. Analysis of empirical data; 5. Financial products and financial markets; 6. Statistics of real prices: basic results; 7. Non-linear correlations and volatility fluctuations; 8. Skewness and price-volatility correlations; 9. Cross-correlations; 10. Risk measures; 11. Extreme correlations and variety; 12. Optimal portfolios; 13. Futures and options: fundamental concepts; 14. Options: hedging and residual risk; 15. Options: the role of drift and correlations; 16. Options: the Black and Scholes model; 17. Options: some more specific problems; 18. Options: minimum variance Monte-Carlo; 19. The yield curve; 20. Simple mechanisms for anomalous price statistics; Index of most important symbols; Index.
Possibilities of identifying cyber attack in noisy space of n-dimensional abstract system
NASA Astrophysics Data System (ADS)
Jašek, Roman; Dvořák, Jiří; Janková, Martina; Sedláček, Michal
2016-06-01
This article briefly mentions some selected options of current concept for identifying cyber attacks from the perspective of the new cyberspace of real system. In the cyberspace, there is defined n-dimensional abstract system containing elements of the spatial arrangement of partial system elements such as micro-environment of cyber systems surrounded by other suitably arranged corresponding noise space. This space is also gradually supplemented by a new image of dynamic processes in a discreet environment, and corresponding again to n-dimensional expression of time space defining existence and also the prediction for expected cyber attacksin the noise space. Noises are seen here as useful and necessary for modern information and communication technologies (e.g. in processes of applied cryptography in ICT) and then the so-called useless noises designed for initial (necessary) filtering of this highly aggressive environment and in future expectedly offensive background in cyber war (e.g. the destruction of unmanned means of an electromagnetic pulse, or for destruction of new safety barriers created on principles of electrostatic field or on other principles of modern physics, etc.). The key to these new options is the expression of abstract systems based on the models of microelements of cyber systems and their hierarchical concept in structure of n-dimensional system in given cyberspace. The aim of this article is to highlight the possible systemic expression of cyberspace of abstract system and possible identification in time-spatial expression of real environment (on microelements of cyber systems and their surroundings with noise characteristics and time dimension in dynamic of microelements' own time and externaltime defined by real environment). The article was based on a partial task of faculty specific research.
NASA Astrophysics Data System (ADS)
Perret-Aebi, Laure-Emmanuelle; Escarré, Jordi; Li, Heng-Yu; Sansonnens, Laurent; Galliano, Federico; Cattaneo, Gianluca; Heinstein, Patrick; Nicolay, Sylvain; Bailat, Julien; Eberhard, Sébastien; Ballif, Christophe
2015-09-01
The use of photovoltaic (PV) is not anymore an option but a real need in the construction of nearly zero energy buildings. To date, the lack of PV products specifically designed for building integration, considering aesthetics and architectural aspects, is one important limiting factor allowing a massive deployment of PV in the built environment. Architects are continuously asking for new solutions to customize the colour of PV elements to better integrate them into the building skin. Among these colours, white is especially attractive as it is widely used in architecture for its elegance, versatility and fresh look. Until now, white solar modules were not considered to be an option and even never been though to be a technological possibility. Nonetheless, CSEM recently developed a new technology to make white solar modules a reality. Furthermore, the new Swiss company called Solaxess is now working on the industrialisation of this very innovative technology and the first products are expecting to be on the market at the end of 2015. The technology is based on the combination of two different elements: a solar cell able to convert solar infrared light into electricity and a selective filter which reflects and diffuse the whole visible spectrum. Any PV technology based on crystalline silicon can be used as they have a good response in the infrared. Approximately 55% of the current generated under standard test conditions comes from the infrared leading to conversion efficiencies above 11%. We will demonstrate, that thanks to this very innovative technology PV modules can become attractive and real active building elements and therefore meets the requirements of any future energy management through advanced building skins.
Possibilities of identifying cyber attack in noisy space of n-dimensional abstract system
DOE Office of Scientific and Technical Information (OSTI.GOV)
Jašek, Roman; Dvořák, Jiří; Janková, Martina
This article briefly mentions some selected options of current concept for identifying cyber attacks from the perspective of the new cyberspace of real system. In the cyberspace, there is defined n-dimensional abstract system containing elements of the spatial arrangement of partial system elements such as micro-environment of cyber systems surrounded by other suitably arranged corresponding noise space. This space is also gradually supplemented by a new image of dynamic processes in a discreet environment, and corresponding again to n-dimensional expression of time space defining existence and also the prediction for expected cyber attacksin the noise space. Noises are seen heremore » as useful and necessary for modern information and communication technologies (e.g. in processes of applied cryptography in ICT) and then the so-called useless noises designed for initial (necessary) filtering of this highly aggressive environment and in future expectedly offensive background in cyber war (e.g. the destruction of unmanned means of an electromagnetic pulse, or for destruction of new safety barriers created on principles of electrostatic field or on other principles of modern physics, etc.). The key to these new options is the expression of abstract systems based on the models of microelements of cyber systems and their hierarchical concept in structure of n-dimensional system in given cyberspace. The aim of this article is to highlight the possible systemic expression of cyberspace of abstract system and possible identification in time-spatial expression of real environment (on microelements of cyber systems and their surroundings with noise characteristics and time dimension in dynamic of microelements’ own time and externaltime defined by real environment). The article was based on a partial task of faculty specific research.« less
Overview of the NASA Wallops Flight Facility Mobile Range Control System
NASA Technical Reports Server (NTRS)
Davis, Rodney A.; Semancik, Susan K.; Smith, Donna C.; Stancil, Robert K.
1999-01-01
The NASA GSFC's Wallops Flight Facility (WFF) Mobile Range Control System (MRCS) is based on the functionality of the WFF Range Control Center at Wallops Island, Virginia. The MRCS provides real time instantaneous impact predictions, real time flight performance data, and other critical information needed by mission and range safety personnel in support of range operations at remote launch sites. The MRCS integrates a PC telemetry processing system (TELPro), a PC radar processing system (PCDQS), multiple Silicon Graphics display workstations (IRIS), and communication links within a mobile van for worldwide support of orbital, suborbital, and aircraft missions. This paper describes the MRCS configuration; the TELPro's capability to provide single/dual telemetry tracking and vehicle state data processing; the PCDQS' capability to provide real time positional data and instantaneous impact prediction for up to 8 data sources; and the IRIS' user interface for setup/display options. With portability, PC-based data processing, high resolution graphics, and flexible multiple source support, the MRCS system is proving to be responsive to the ever-changing needs of a variety of increasingly complex missions.
5nsec Dead time multichannel scaling system for Mössbauer spectrometer
NASA Astrophysics Data System (ADS)
Verrastro, C.; Trombetta, G.; Pita, A.; Saragovi, C.; Duhalde, S.
1991-11-01
A PC programmable and fast multichannel scaling module has been designed to use a commercial Mössbauer spectrometer. This module is based on a 10 single chip 8 bits microcomputer (MC6805) and on a 35 fast ALU, which allows a high performance and low cost system. The module can operate in a stand-alone mode. Data analysis are performed in real time display, on XT/AT IBM PC or compatibles. The channels are ranged between 256 and 4096, the maximum number of counts is 232-1 per channel, the dwell time is 3 μsec and the dead time between channels is 5 nsec. A friendly software display the real time spectrum and offers menues with different options at each state.
75 FR 9989 - Self-Regulatory Organizations; NASDAQ OMX PHLX, Inc.; Notice of Filing and Immediate...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-03-04
... Exchanges to operate a stand-alone system or ``Linkage'' for sending order-flow between exchanges to limit trade-throughs.\\6\\ The Options Clearing Corporation (``OCC'') operated the Linkage system (the ``System.... options markets are linked together on a real-time basis through a network capable of transporting orders...
Valuing Flexibility in Career Training Decisions
ERIC Educational Resources Information Center
Yahanpath, Noel; Neal, Mark; McCormack, Shane
2013-01-01
Purpose: The purpose of this paper is to explore the nature and significance of flexibility in decisions about education and training options. This is done through an examination of the relevance of real options valuation (ROV) to our understanding of educational and training choices. Through this examination, the paper aims to contribute to the…
Video-based real-time on-street parking occupancy detection system
NASA Astrophysics Data System (ADS)
Bulan, Orhan; Loce, Robert P.; Wu, Wencheng; Wang, YaoRong; Bernal, Edgar A.; Fan, Zhigang
2013-10-01
Urban parking management is receiving significant attention due to its potential to reduce traffic congestion, fuel consumption, and emissions. Real-time parking occupancy detection is a critical component of on-street parking management systems, where occupancy information is relayed to drivers via smart phone apps, radio, Internet, on-road signs, or global positioning system auxiliary signals. Video-based parking occupancy detection systems can provide a cost-effective solution to the sensing task while providing additional functionality for traffic law enforcement and surveillance. We present a video-based on-street parking occupancy detection system that can operate in real time. Our system accounts for the inherent challenges that exist in on-street parking settings, including illumination changes, rain, shadows, occlusions, and camera motion. Our method utilizes several components from video processing and computer vision for motion detection, background subtraction, and vehicle detection. We also present three traffic law enforcement applications: parking angle violation detection, parking boundary violation detection, and exclusion zone violation detection, which can be integrated into the parking occupancy cameras as a value-added option. Our experimental results show that the proposed parking occupancy detection method performs in real-time at 5 frames/s and achieves better than 90% detection accuracy across several days of videos captured in a busy street block under various weather conditions such as sunny, cloudy, and rainy, among others.
"Internet of Things" Real-Time Free Flap Monitoring.
Kim, Sang Hun; Shin, Ho Seong; Lee, Sang Hwan
2018-01-01
Free flaps are a common treatment option for head and neck reconstruction in plastic reconstructive surgery, and monitoring of the free flap is the most important factor for flap survival. In this study, the authors performed real-time free flap monitoring based on an implanted Doppler system and "internet of things" (IoT)/wireless Wi-Fi, which is a convenient, accurate, and efficient approach for surgeons to monitor a free flap. Implanted Doppler signals were checked continuously until the patient was discharged by the surgeon and residents using their own cellular phone or personal computer. If the surgeon decided that a revision procedure or exploration was required, the authors checked the consumed time (positive signal-to-operating room time) from the first notification when the flap's status was questioned to the determination for revision surgery according to a chart review. To compare the efficacy of real-time monitoring, the authors paired the same number of free flaps performed by the same surgeon and monitored the flaps using conventional methods such as a physical examination. The total survival rate was greater in the real-time monitoring group (94.7% versus 89.5%). The average time for the real-time monitoring group was shorter than that for the conventional group (65 minutes versus 86 minutes). Based on this study, real-time free flap monitoring using IoT technology is a method that surgeon and reconstruction team can monitor simultaneously at any time in any situation.
Easy rider: monkeys learn to drive a wheelchair to navigate through a complex maze.
Etienne, Stephanie; Guthrie, Martin; Goillandeau, Michel; Nguyen, Tho Hai; Orignac, Hugues; Gross, Christian; Boraud, Thomas
2014-01-01
The neurological bases of spatial navigation are mainly investigated in rodents and seldom in primates. The few studies led on spatial navigation in both human and non-human primates are performed in virtual, not in real environments. This is mostly because of methodological difficulties inherent in conducting research on freely-moving monkeys in real world environments. There is some incertitude, however, regarding the extrapolation of rodent spatial navigation strategies to primates. Here we present an entirely new platform for investigating real spatial navigation in rhesus monkeys. We showed that monkeys can learn a pathway by using different strategies. In these experiments three monkeys learned to drive the wheelchair and to follow a specified route through a real maze. After learning the route, probe tests revealed that animals successively use three distinct navigation strategies based on i) the place of the reward, ii) the direction taken to obtain reward or iii) a cue indicating reward location. The strategy used depended of the options proposed and the duration of learning. This study reveals that monkeys, like rodents and humans, switch between different spatial navigation strategies with extended practice, implying well-conserved brain learning systems across different species. This new task with freely driving monkeys provides a good support for the electrophysiological and pharmacological investigation of spatial navigation in the real world by making possible electrophysiological and pharmacological investigations.
Flash-flood early warning using weather radar data: from nowcasting to forecasting
NASA Astrophysics Data System (ADS)
Liechti, Katharina; Panziera, Luca; Germann, Urs; Zappa, Massimiliano
2013-04-01
In our study we explore the limits of radar-based forecasting for hydrological runoff prediction. Two novel probabilistic radar-based forecasting chains for flash-flood early warning are investigated in three catchments in the Southern Swiss Alps and set in relation to deterministic discharge forecast for the same catchments. The first probabilistic radar-based forecasting chain is driven by NORA (Nowcasting of Orographic Rainfall by means of Analogues), an analogue-based heuristic nowcasting system to predict orographic rainfall for the following eight hours. The second probabilistic forecasting system evaluated is REAL-C2, where the numerical weather prediction COSMO-2 is initialized with 25 different initial conditions derived from a four-day nowcast with the radar ensemble REAL. Additionally, three deterministic forecasting chains were analysed. The performance of these five flash-flood forecasting systems was analysed for 1389 hours between June 2007 and December 2010 for which NORA forecasts were issued, due to the presence of orographic forcing. We found a clear preference for the probabilistic approach. Discharge forecasts perform better when forced by NORA rather than by a persistent radar QPE for lead times up to eight hours and for all discharge thresholds analysed. The best results were, however, obtained with the REAL-C2 forecasting chain, which was also remarkably skilful even with the highest thresholds. However, for regions where REAL cannot be produced, NORA might be an option for forecasting events triggered by orographic forcing.
Flash-flood early warning using weather radar data: from nowcasting to forecasting
NASA Astrophysics Data System (ADS)
Liechti, K.; Panziera, L.; Germann, U.; Zappa, M.
2013-01-01
This study explores the limits of radar-based forecasting for hydrological runoff prediction. Two novel probabilistic radar-based forecasting chains for flash-flood early warning are investigated in three catchments in the Southern Swiss Alps and set in relation to deterministic discharge forecast for the same catchments. The first probabilistic radar-based forecasting chain is driven by NORA (Nowcasting of Orographic Rainfall by means of Analogues), an analogue-based heuristic nowcasting system to predict orographic rainfall for the following eight hours. The second probabilistic forecasting system evaluated is REAL-C2, where the numerical weather prediction COSMO-2 is initialized with 25 different initial conditions derived from a four-day nowcast with the radar ensemble REAL. Additionally, three deterministic forecasting chains were analysed. The performance of these five flash-flood forecasting systems was analysed for 1389 h between June 2007 and December 2010 for which NORA forecasts were issued, due to the presence of orographic forcing. We found a clear preference for the probabilistic approach. Discharge forecasts perform better when forced by NORA rather than by a persistent radar QPE for lead times up to eight hours and for all discharge thresholds analysed. The best results were, however, obtained with the REAL-C2 forecasting chain, which was also remarkably skilful even with the highest thresholds. However, for regions where REAL cannot be produced, NORA might be an option for forecasting events triggered by orographic precipitation.
Interset: A natural language interface for teleoperated robotic assembly of the EASE space structure
NASA Technical Reports Server (NTRS)
Boorsma, Daniel K.
1989-01-01
A teleoperated robot was used to assemble the Experimental Assembly of Structures in Extra-vehicular activity (EASE) space structure under neutral buoyancy conditions, simulating a telerobot performing structural assembly in the zero gravity of space. This previous work used a manually controlled teleoperator as a test bed for system performance evaluations. From these results several Artificial Intelligence options were proposed. One of these was further developed into a real time assembly planner. The interface for this system is effective in assembling EASE structures using windowed graphics and a set of networked menus. As the problem space becomes more complex and hence the set of control options increases, a natural language interface may prove to be beneficial to supplement the menu based control strategy. This strategy can be beneficial in situations such as: describing the local environment, maintaining a data base of task event histories, modifying a plan or a heuristic dynamically, summarizing a task in English, or operating in a novel situation.
Gaining Options: A Mathematics Program for Potentially Talented At-Risk Adolescent Girls
ERIC Educational Resources Information Center
Reid, Pamela Trotman; Roberts, Sally K.
2006-01-01
In response to indicators that a decline in interest in mathematics occurs among girls--particularly those from low-income and minority groups--during middle school, the GO-GIRL (Gaining Options: Girls Investigate Real Life) program was designed to help potentially talented at-risk girls. The program aimed to build mathematical confidence, skills,…
Draft Forecasts from Real-Time Runs of Physics-Based Models - A Road to the Future
NASA Technical Reports Server (NTRS)
Hesse, Michael; Rastatter, Lutz; MacNeice, Peter; Kuznetsova, Masha
2008-01-01
The Community Coordinated Modeling Center (CCMC) is a US inter-agency activity aiming at research in support of the generation of advanced space weather models. As one of its main functions, the CCMC provides to researchers the use of space science models, even if they are not model owners themselves. The second focus of CCMC activities is on validation and verification of space weather models, and on the transition of appropriate models to space weather forecast centers. As part of the latter activity, the CCMC develops real-time simulation systems that stress models through routine execution. A by-product of these real-time calculations is the ability to derive model products, which may be useful for space weather operators. After consultations with NOAA/SEC and with AFWA, CCMC has developed a set of tools as a first step to make real-time model output useful to forecast centers. In this presentation, we will discuss the motivation for this activity, the actions taken so far, and options for future tools from model output.
An Improved Graph Model for Conflict Resolution Based on Option Prioritization and Its Application
Yin, Kedong; Li, Xuemei
2017-01-01
In order to quantitatively depict differences regarding the preferences of decision makers for different states, a score function is proposed. As a foundation, coalition motivation and real-coalition analysis are discussed when external circumstance or opportunity costs are considering. On the basis of a confidence-level function, we establish the score function using a “preference tree”. We not only measure the preference for each state, but we also build a collation improvement function to measure coalition motivation and to construct a coordinate system in which to analyze real-coalition stability. All of these developments enhance the applicability of the graph model for conflict resolution (GMCR). Finally, an improved GMCR is applied in the “Changzhou Conflict” to demonstrate how it can be conveniently utilized in practice. PMID:29077049
An Improved Graph Model for Conflict Resolution Based on Option Prioritization and Its Application.
Yin, Kedong; Yu, Li; Li, Xuemei
2017-10-27
In order to quantitatively depict differences regarding the preferences of decision makers for different states, a score function is proposed. As a foundation, coalition motivation and real-coalition analysis are discussed when external circumstance or opportunity costs are considering. On the basis of a confidence-level function, we establish the score function using a "preference tree". We not only measure the preference for each state, but we also build a collation improvement function to measure coalition motivation and to construct a coordinate system in which to analyze real-coalition stability. All of these developments enhance the applicability of the graph model for conflict resolution (GMCR). Finally, an improved GMCR is applied in the "Changzhou Conflict" to demonstrate how it can be conveniently utilized in practice.
Fisher, Michael B.; Mann, Benjamin H.; Cronk, Ryan D.; Shields, Katherine F.; Klug, Tori L.; Ramaswamy, Rohit
2016-01-01
Information and communications technologies (ICTs) such as mobile survey tools (MSTs) can facilitate field-level data collection to drive improvements in national and international development programs. MSTs allow users to gather and transmit field data in real time, standardize data storage and management, automate routine analyses, and visualize data. Dozens of diverse MST options are available, and users may struggle to select suitable options. We developed a systematic MST Evaluation Framework (EF), based on International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) software quality modeling standards, to objectively assess MSTs and assist program implementers in identifying suitable MST options. The EF is applicable to MSTs for a broad variety of applications. We also conducted an MST user survey to elucidate needs and priorities of current MST users. Finally, the EF was used to assess seven MSTs currently used for water and sanitation monitoring, as a validation exercise. The results suggest that the EF is a promising method for evaluating MSTs. PMID:27563916
Fisher, Michael B; Mann, Benjamin H; Cronk, Ryan D; Shields, Katherine F; Klug, Tori L; Ramaswamy, Rohit
2016-08-23
Information and communications technologies (ICTs) such as mobile survey tools (MSTs) can facilitate field-level data collection to drive improvements in national and international development programs. MSTs allow users to gather and transmit field data in real time, standardize data storage and management, automate routine analyses, and visualize data. Dozens of diverse MST options are available, and users may struggle to select suitable options. We developed a systematic MST Evaluation Framework (EF), based on International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) software quality modeling standards, to objectively assess MSTs and assist program implementers in identifying suitable MST options. The EF is applicable to MSTs for a broad variety of applications. We also conducted an MST user survey to elucidate needs and priorities of current MST users. Finally, the EF was used to assess seven MSTs currently used for water and sanitation monitoring, as a validation exercise. The results suggest that the EF is a promising method for evaluating MSTs.
Valuation of Real Options as Competitive Prototyping in System Development
2014-07-01
Brealey & Meyers, 2000; Dixit & Pindyck, 1994; Kulatilaka, 1995; Lander, 1997; Lander & Pinches, 1998; McDonald, 2006; Quigg, 1993; Teisberg, 1995...Brennan & Trigeorgis, 2000; Dixit & Pindyck, 1994; Kemna, 1993; Miller & Lessard, 2000; Trigeorgis, 1995). Examples include valuation of options to... Dixit , A. K., & Pindyck, R. S. (1994). Investment under uncertainty. NJ: Princeton University Press. Ford, D. N., & Bhargav, S. (2006, Spring). Project
ERIC Educational Resources Information Center
Menassa, Carol Chukri
2009-01-01
A project-specific dispute resolution ladder (DRL) typically consists of multiple alternative dispute resolution (ADR) techniques that are chosen to assist in mitigating the impact of change orders and claims (CCO) occurring during the project construction phase, and avoid their escalation to protracted disputes that adversely affect a…
Stock and option portfolio using fuzzy logic approach
NASA Astrophysics Data System (ADS)
Sumarti, Novriana; Wahyudi, Nanang
2014-03-01
Fuzzy Logic in decision-making process has been widely implemented in various problems in industries. It is the theory of imprecision and uncertainty that was not based on probability theory. Fuzzy Logic adds values of degree between absolute true and absolute false. It starts with and builds on a set of human language rules supplied by the user. The fuzzy systems convert these rules to their mathematical equivalents. This could simplify the job of the system designer and the computer, and results in much more accurate representations of the way systems behave in the real world. In this paper we examine the decision making process of stock and option trading by the usage of MACD (Moving Average Convergence Divergence) technical analysis and Option Pricing with Fuzzy Logic approach. MACD technical analysis is for the prediction of the trends of underlying stock prices, such as bearish (going downward), bullish (going upward), and sideways. By using Fuzzy C-Means technique and Mamdani Fuzzy Inference System, we define the decision output where the value of MACD is high then decision is "Strong Sell", and the value of MACD is Low then the decision is "Strong Buy". We also implement the fuzzification of the Black-Scholes option-pricing formula. The stock and options methods are implemented on a portfolio of one stock and its options. Even though the values of input data, such as interest rates, stock price and its volatility, cannot be obtain accurately, these fuzzy methods can give a belief degree of the calculated the Black-Scholes formula so we can make the decision on option trading. The results show the good capability of the methods in the prediction of stock price trends. The performance of the simulated portfolio for a particular period of time also shows good return.
NASA Astrophysics Data System (ADS)
Wang, Y.
2015-12-01
Landfill disposal is still the most common and economical practice for municipal solid waste in most countries. However, heavily polluted leachate generated by excess rainwater percolating through the landfill waste is the major drawback of this practice. Evapotranspiration (ET) cover systems are increasingly being used as alternative cover systems to minimize percolation by evapotranspiration. Leachate recirculation is one of the least expensive options for leachate treatment. The combination of ET cover systems and leachate recirculation can be an economical and environment-friendly practice for landfill leachate management. An interactive real-time decision support system is being developed to better manage leachate irrigation using historical and forecasting weather data, and real time soil moisture data. The main frame of this system includes soil water modules, and plant-soil modules. An inverse simulation module is also included to calibrate certain parameters based on observed data when necessary. It would be an objectives-oriented irrigation management tool to minimize landfill operation costs and negative environmental impacts.
NAIMA as a solution for future GMO diagnostics challenges.
Dobnik, David; Morisset, Dany; Gruden, Kristina
2010-03-01
In the field of genetically modified organism (GMO) diagnostics, real-time PCR has been the method of choice for target detection and quantification in most laboratories. Despite its numerous advantages, however, the lack of a true multiplexing option may render real-time PCR less practical in the face of future GMO detection challenges such as the multiplicity and increasing complexity of new transgenic events, as well as the repeated occurrence of unauthorized GMOs on the market. In this context, we recently reported the development of a novel multiplex quantitative DNA-based target amplification method, named NASBA implemented microarray analysis (NAIMA), which is suitable for sensitive, specific and quantitative detection of GMOs on a microarray. In this article, the performance of NAIMA is compared with that of real-time PCR, the focus being their performances in view of the upcoming challenge to detect/quantify an increasing number of possible GMOs at a sustainable cost and affordable staff effort. Finally, we present our conclusions concerning the applicability of NAIMA for future use in GMO diagnostics.
Atlantic Real-Time Ocean Forecast System (Discontinued)
RTOFS is described in the following paper (PDF): "A Real Time Ocean Forecast System for the North options The following selections are available from the main menu at the top of the page. Compare with Obs email by selecting from the following list of contacts: Outreach: Liyan Liu Operations: Avichal Mehra
Federal Register 2010, 2011, 2012, 2013, 2014
2011-06-28
... every trading day since that time.\\5\\ \\5\\ CBOE maintains a micro-site for VXSLV: http://www.cboe.com/micro/VIXETF/VXSLV/ . VXSLV is an up-to-the-minute market estimate of the expected volatility of SLV... underlying option series on a real-time basis throughout each trading day, from 8:30 a.m. until 3 p.m. (CT...
Implementation and design of a teleoperation system based on a VMEBUS/68020 pipelined architecture
NASA Technical Reports Server (NTRS)
Lee, Thomas S.
1989-01-01
A pipelined control design and architecture for a force-feedback teleoperation system that is being implemented at the Jet Propulsion Laboratory and which will be integrated with the autonomous portion of the testbed to achieve share control is described. At the local site, the operator sees real-time force/torque displays and moves two 6-degree of freedom (dof) force-reflecting hand-controllers as his hands feel the contact force/torques generated at the remote site where the robots interact with the environment. He also uses a graphical user menu to monitor robot states and specify system options. The teleoperation software is written in the C language and runs on MC68020-based processor boards in the VME chassis, which utilizes a real-time operating system; the hardware is configured to realize a four-stage pipeline configuration. The environment is very flexible, such that the system can easily be configured as a stand-alone facility for performing independent research in human factors, force control, and time-delayed systems.
Potential of laser for SPS power transmission
NASA Technical Reports Server (NTRS)
Bain, C. N.
1978-01-01
Research on the feasibility of using a laser subsystem as an additional option for the transmission of the satellite power system (STS) power is presented. Current laser work and predictions for future laser performance provide a level of confidence that the development of a laser power transmission system is technologically feasible in the time frame required to develop the SBS. There are significant economic advantages in lower ground distribution costs and a reduction of more than two orders of magnitude in real estate requirements for ground based receiving/conversion sites.
Manufacturing cost/design system: A CAD/CAM dialogue
NASA Technical Reports Server (NTRS)
Loshigian, H. H.; Rachowitz, B. I.; Judson, D.
1980-01-01
The development of the Manufacturing Cost/Design System (MC/DS) will provide the aerospace design engineer a tool with which to perform heretofore impractical design manufacturing cost tradeoffs. The Air Force Integrated Computer Aided Manufacturing (ICAM) Office has initiated the development and demonstration of an MC/DS which, when fully implemented, will integrate both design and manufacturing data bases to provide real time visibility into the manufacturing costs associated with various design options. The first release of a computerized system will be made before the end of 1981.
Applications and requirements for real-time simulators in ground-test facilities
NASA Technical Reports Server (NTRS)
Arpasi, Dale J.; Blech, Richard A.
1986-01-01
This report relates simulator functions and capabilities to the operation of ground test facilities, in general. The potential benefits of having a simulator are described to aid in the selection of desired applications for a specific facility. Configuration options for integrating a simulator into the facility control system are discussed, and a logical approach to configuration selection based on desired applications is presented. The functional and data path requirements to support selected applications and configurations are defined. Finally, practical considerations for implementation (i.e., available hardware and costs) are discussed.
König, Laura M.; Giese, Helge; Schupp, Harald T.; Renner, Britta
2016-01-01
Studies show that implicit and explicit attitudes influence food choice. However, precursors of food choice often are investigated using tasks offering a very limited number of options despite the comparably complex environment surrounding real life food choice. In the present study, we investigated how the assortment impacts the relationship between implicit and explicit attitudes and food choice (confectionery and fruit), assuming that a more complex choice architecture is more taxing on cognitive resources. Specifically, a binary and a multiple option choice task based on the same stimulus set (fake food items) were presented to ninety-seven participants. Path modeling revealed that both explicit and implicit attitudes were associated with relative food choice (confectionery vs. fruit) in both tasks. In the binary option choice task, both explicit and implicit attitudes were significant precursors of food choice, with explicit attitudes having a greater impact. Conversely, in the multiple option choice task, the additive impact of explicit and implicit attitudes was qualified by an interaction indicating that, even if explicit and implicit attitudes toward confectionery were inconsistent, more confectionery was chosen than fruit if either was positive. This compensatory ‘one is sufficient’-effect indicates that the structure of the choice environment modulates the relationship between attitudes and choice. The study highlights that environmental constraints, such as the number of choice options, are an important boundary condition that need to be included when investigating the relationship between psychological precursors and behavior. PMID:27621719
König, Laura M; Giese, Helge; Schupp, Harald T; Renner, Britta
2016-01-01
Studies show that implicit and explicit attitudes influence food choice. However, precursors of food choice often are investigated using tasks offering a very limited number of options despite the comparably complex environment surrounding real life food choice. In the present study, we investigated how the assortment impacts the relationship between implicit and explicit attitudes and food choice (confectionery and fruit), assuming that a more complex choice architecture is more taxing on cognitive resources. Specifically, a binary and a multiple option choice task based on the same stimulus set (fake food items) were presented to ninety-seven participants. Path modeling revealed that both explicit and implicit attitudes were associated with relative food choice (confectionery vs. fruit) in both tasks. In the binary option choice task, both explicit and implicit attitudes were significant precursors of food choice, with explicit attitudes having a greater impact. Conversely, in the multiple option choice task, the additive impact of explicit and implicit attitudes was qualified by an interaction indicating that, even if explicit and implicit attitudes toward confectionery were inconsistent, more confectionery was chosen than fruit if either was positive. This compensatory 'one is sufficient'-effect indicates that the structure of the choice environment modulates the relationship between attitudes and choice. The study highlights that environmental constraints, such as the number of choice options, are an important boundary condition that need to be included when investigating the relationship between psychological precursors and behavior.
Novel algorithm implementations in DARC: the Durham AO real-time controller
NASA Astrophysics Data System (ADS)
Basden, Alastair; Bitenc, Urban; Jenkins, David
2016-07-01
The Durham AO Real-time Controller has been used on-sky with the CANARY AO demonstrator instrument since 2010, and is also used to provide control for several AO test-benches, including DRAGON. Over this period, many new real-time algorithms have been developed, implemented and demonstrated, leading to performance improvements for CANARY. Additionally, the computational performance of this real-time system has continued to improve. Here, we provide details about recent updates and changes made to DARC, and the relevance of these updates, including new algorithms, to forthcoming AO systems. We present the computational performance of DARC when used on different hardware platforms, including hardware accelerators, and determine the relevance and potential for ELT scale systems. Recent updates to DARC have included algorithms to handle elongated laser guide star images, including correlation wavefront sensing, with options to automatically update references during AO loop operation. Additionally, sub-aperture masking options have been developed to increase signal to noise ratio when operating with non-symmetrical wavefront sensor images. The development of end-user tools has progressed with new options for configuration and control of the system. New wavefront sensor camera models and DM models have been integrated with the system, increasing the number of possible hardware configurations available, and a fully open-source AO system is now a reality, including drivers necessary for commercial cameras and DMs. The computational performance of DARC makes it suitable for ELT scale systems when implemented on suitable hardware. We present tests made on different hardware platforms, along with the strategies taken to optimise DARC for these systems.
From market games to real-world markets
NASA Astrophysics Data System (ADS)
Jefferies, P.; Hart, M. L.; Hui, P. M.; Johnson, N. F.
2001-04-01
This paper uses the development of multi-agent market models to present a unified approach to the joint questions of how financial market movements may be simulated, predicted, and hedged against. We first present the results of agent-based market simulations in which traders equipped with simple buy/sell strategies and limited information compete in speculatory trading. We examine the effect of different market clearing mechanisms and show that implementation of a simple Walrasian auction leads to unstable market dynamics. We then show that a more realistic out-of-equilibrium clearing process leads to dynamics that closely resemble real financial movements, with fat-tailed price increments, clustered volatility and high volume autocorrelation. We then show that replacing the `synthetic' price history used by these simulations with data taken from real financial time-series leads to the remarkable result that the agents can collectively learn to identify moments in the market where profit is attainable. Hence on real financial data, the system as a whole can perform better than random. We then employ the formalism of Bouchaud in conjunction with agent based models to show that in general risk cannot be eliminated from trading with these models. We also show that, in the presence of transaction costs, the risk of option writing is greatly increased. This risk, and the costs, can however be reduced through the use of a delta-hedging strategy with modified, time-dependent volatility structure.
Risk management with substitution options: Valuing flexibility in small-scale energy systems
NASA Astrophysics Data System (ADS)
Knapp, Karl Eric
Several features of small-scale energy systems make them more easily adapted to a changing operating environment than large centralized designs. This flexibility is often manifested as the ability to substitute inputs. This research explores the value of this substitution flexibility and the marginal value of becoming a "little more flexible" in the context of real project investment in developing countries. The elasticity of substitution is proposed as a stylized measure of flexibility and a choice variable. A flexible alternative (elasticity > 0) can be thought of as holding a fixed-proportions "nflexible" asset plus a sequence of exchange options---the option to move to another feasible "recipe" each period. Substitutability derives value from following a contour of anticipated variations and from responding to new information. Substitutability value, a "cost savings option", increases with elasticity and price risk. However, the required premium to incrementally increase flexibility can in some cases decrease with an increase in risk. Variance is not always a measure of risk. Tools from stochastic dominance are newly applied to real options with convex payoffs to correct some misperceptions and clarify many common modeling situations that meet the criteria for increased variance to imply increased risk. The behavior of the cost savings option is explored subject to a stochastic input price process. At the point where costs are identical for all alternatives, the stochastic process for cost savings becomes deterministic, with savings directly proportional to elasticity of substitution and price variance. The option is also formulated as a derivative security via dynamic programming. The partial differential equation is solved for the special case of Cobb-Douglas (elasticity = 1) (also shown are linear (infinite elasticity), Leontief (elasticity = 0)). Risk aversion is insufficient to prefer a more flexible alternative with the same expected value. Intertemporal links convert the sequence of independent options to a single compound option and require an expansion of the flexibility concept. Additional options increase the value of the project but generally decrease flexibility value. The framework is applied to case study in India: an urban industry electricity strategy decision with reliability risk.
Kempf, Emmanuelle; Bogaerts, Jan; Lacombe, Denis; Liu, Lifang
2017-11-01
In Europe, most of the cancer clinical research dedicated to therapeutic innovations aims primarily at regulatory approval. Once an anticancer drug enters the common market, each member state determines its real-world use based on its own criteria: pricing, reimbursement and clinical indications. Such an innovation-centred clinical research landscape might neglect patient-relevant issues in real-world setting, such as comparative effectiveness of distinct treatment options or long-term safety monitoring. The European Organisation for Research and Treatment of Cancer (EORTC) advocates reforming the current 'innovation-centred' system to a truly 'patient-centred' paradigm with systematically coordinated applied clinical research in conjunction with drug development, featuring the following strategy. Copyright © 2017 Elsevier Ltd. All rights reserved.
Bertanza, Giorgio; Papa, Matteo; Canato, Matteo; Collivignarelli, Maria Cristina; Pedrazzani, Roberta
2014-05-01
A key issue in biological Waste Water Treatment Plants (WWTPs) operation is represented by the sludge management. Mechanical dewatering is a crucial stage for sludge volume reduction; though, being a costly operation, its optimization is required. We developed an original experimental methodology to evaluate the technical (dewatering efficiency) and financial (total treatment costs) performance of dewatering devices, which might be used as a DSS (Decision Support System) for WWTP managers. This tool was then applied to two real case studies for comparing, respectively, three industrial size centrifuges, and two different operation modes of the same machine (fixed installation vs. outsourcing service). In both the cases, the best option was identified, based jointly on economic and (site-specific) technical evaluations. Copyright © 2014 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Rumbaugh, Roy N.; Grealish, Kevin; Kacir, Tom; Arsenault, Barry; Murphy, Robert H.; Miller, Scott
2003-09-01
A new 4th generation MicroIR architecture is introduced as the latest in the highly successful Standard Camera Core (SCC) series by BAE SYSTEMS to offer an infrared imaging engine with greatly reduced size, weight, power, and cost. The advanced SCC500 architecture provides great flexibility in configuration to include multiple resolutions, an industry standard Real Time Operating System (RTOS) for customer specific software application plug-ins, and a highly modular construction for unique physical and interface options. These microbolometer based camera cores offer outstanding and reliable performance over an extended operating temperature range to meet the demanding requirements of real-world environments. A highly integrated lens and shutter is included in the new SCC500 product enabling easy, drop-in camera designs for quick time-to-market product introductions.
Pricing and simulation for real estate index options: Radial basis point interpolation
NASA Astrophysics Data System (ADS)
Gong, Pu; Zou, Dong; Wang, Jiayue
2018-06-01
This study employs the meshfree radial basis point interpolation (RBPI) for pricing real estate derivatives contingent on real estate index. This method combines radial and polynomial basis functions, which can guarantee the interpolation scheme with Kronecker property and effectively improve accuracy. An exponential change of variables, a mesh refinement algorithm and the Richardson extrapolation are employed in this study to implement the RBPI. Numerical results are presented to examine the computational efficiency and accuracy of our method.
How can primary care providers manage pediatric obesity in the real world?
Hopkins, Kristy F; Decristofaro, Claire; Elliott, Lydia
2011-06-01
To provide information regarding evidence-based interventions and clinical practice guidelines as a basis for a clinical toolkit utilizing a step management approach for the primary care provider in managing childhood obesity. Evidence-based literature including original clinical trials, literature reviews, and clinical practice guidelines. Interventions can be stratified based on initial screening of children and adolescents so that selection of treatment options is optimized. For all treatments, lifestyle modifications include attention to diet and activity level. Levels of initial success, as well as maintenance of target body mass index, may be related to the intensity and duration of interventions; involvement of family may increase success rates. For failed lifestyle interventions, or for patients with extreme obesity and/or certain comorbidities, pharmacologic or surgical options should be considered. Many intensive programs have shown success, but the resources required for these approaches may be unavailable to the typical community provider and family. However, using current guidelines, the primary care provider can initiate and manage ongoing interventions in pediatric obesity. A toolkit for primary care implementation and maintenance interventions is provided. ©2011 The Author(s) Journal compilation ©2011 American Academy of Nurse Practitioners.
NASA Technical Reports Server (NTRS)
Beardslee, R. F.
1976-01-01
Various degrees of Commander/Pilot involvement in on-orbit operation of payloads are examined. Constraints and limitations resulting from their participation or affecting their ability to participate are identified. Four options, each representing a different set of involvement depths and concepts are analyzed. Options identified are boundaries around extremes in Commander/Pilot payload involvement. Real world choices may fall somewhere in between, but for the purposes of this study the options as represented provide a matrix from which logical and practical decisions can be made about crew participation in payload operations.
Multifractal analysis of implied volatility in index options
NASA Astrophysics Data System (ADS)
Oh, GabJin
2014-06-01
In this paper, we analyze the statistical and the non-linear properties of the log-variations in implied volatility for the CAC40, DAX and S& P500 daily index options. The price of an index option is generally represented by its implied volatility surface, including its smile and skew properties. We utilize a Lévy process model as the underlying asset to deepen our understanding of the intrinsic property of the implied volatility in the index options and estimate the implied volatility surface. We find that the options pricing models with the exponential Lévy model can reproduce the smile or sneer features of the implied volatility that are observed in real options markets. We study the variation in the implied volatility for at-the-money index call and put options, and we find that the distribution function follows a power-law distribution with an exponent of 3.5 ≤ γ ≤ 4.5. Especially, the variation in the implied volatility exhibits multifractal spectral characteristics, and the global financial crisis has influenced the complexity of the option markets.
Toni Antikainen; Anti Rohumaa; Christopher G. Hunt; Mari Levirinne; Mark Hughes
2015-01-01
In plywood production, human operators find it difficult to precisely monitor the spread rate of adhesive in real-time. In this study, macroscopic fluorescence was used to estimate spread rate (SR) of urea formaldehyde adhesive on birch (Betula pendula Roth) veneer. This method could be an option when developing automated real-time SR measurement for...
A Basic Study on Optimal Investment of Power Sources Considering Environmental Measures
NASA Astrophysics Data System (ADS)
Kato, Moritoshi; Zhou, Yicheng
This paper focuses on economic evaluations of a coal-fired thermal power station with a carbon dioxide capture and storage unit (CCS) by which an existing coal-fired thermal power station (COAL) is replaced. Decision makers decide to construct CCS considering both of contrary elements; one is waiting more favorable conditions such as a higher value of carbon credits which CCS has, another is reducing opportunity costs due to delay of construction of CCS. New methods using a real option approach are proposed. Firstly we calculate an economic value of CCS as an American coal option with dividend considering carbon emission costs of COAL as opportunity costs. Secondly we evaluate construction time of CCS using binominal decision tree taking into account the options. Numerical examples show that a real option value of CCS is from 28% to 44% of sales revenue, which are higher than net present values due to a value on waiting for more favorable conditions. And they also show that an earlier construction is exercised and the value becomes lower, the more challenging the benchmark of carbon emissions is or the higher the change rate of maintenance cost of COAL becomes. An effect of a lifetime of power stations is also analyzed.
Water Resources Planning under Uncertainty: A "Real Options" Approach
NASA Astrophysics Data System (ADS)
Jeuland, M. A.; Whittington, D.
2011-12-01
This research develops a real options approach for planning new water resources developments, in infrastructure construction and system operation, under uncertainty. The approach treats the planning problem as a series of staged decisions - the selection of new projects; their scale, timing and sequencing; and finally their operating rules - each of which is characterized by varying levels of irreversibility. The performance of different configurations of the system is then assessed along the various dimensions of the decision space, using simulation methods. The methodology is then made operational using an existing hydrological simulation model that can be used to study the example of hydropower development options in the Blue Nile in Ethiopia. The model includes physical linkages between climate change and system hydrology, and allows users to test the sensitivity of the basin-wide economic consequences of dams, which consist of energy generation, changes in irrigation crop-water demand, the value of flood control, and other basin-wide impacts, to climate change or changes in runoff, as well as to other uncertainties. The analysis shows that, from an economic perspective, there is no single optimal system configuration across a range of future climate conditions deemed plausible for this basin. For example, small infrastructures perform best in scenarios with reduced runoff into the river, whereas large ones are best when runoff increases. The real options framework therefore becomes useful for helping to identify configurations that are both more robust to poor outcomes and still contain sufficient flexibility to capture high upside benefits should favorable future conditions arise. The framework could readily be extended to explore a range of features that could be usefully built into water resources projects more generally, to improve the long-term economic performance of such investments.
Connor, Charles E.; Stuphorn, Veit
2017-01-01
Real-life decisions often involve multiple intermediate choices among competing, interdependent options. Lorteije et al. (2015) introduce a new paradigm for dissecting the neural strategies underlying such decisions. PMID:26402598
Zarębska-Michaluk, Dorota; Flisiak, Robert; Jaroszewicz, Jerzy; Janczewska, Ewa; Czauż-Andrzejuk, Agnieszka; Berak, Hanna; Horban, Andrzej; Staniaszek, Agnieszka; Gietka, Andrzej; Tudrujek, Magdalena; Tomasiewicz, Krzysztof; Dybowska, Dorota; Halota, Waldemar; Piekarska, Anna; Sitko, Marek; Garlicki, Aleksander; Orłowska, Iwona; Simon, Krzysztof; Belica-Wdowik, Teresa; Baka-Ćwierz, Barbara; Mazur, Włodzimierz; Białkowska, Jolanta; Socha, Łukasz; Wawrzynowicz-Syczewska, Marta; Laurans, Łukasz; Deroń, Zbigniew; Lorenc, Beata; Dobracka, Beata; Tronina, Olga; Pawłowska, Małgorzata
2018-02-01
The aim of the study is to analyze treatments available for patients infected with genotype (G) 3 hepatitis C virus (HCV) in Poland at the beginning of the interferon (IFN)-free era and evaluate the efficacy and safety of different therapeutic options administered in a real-world setting. We analyzed data of 198 patients who started antiviral therapy after July 1, 2015, and completed it before December 31, 2016; 57.6% of them had liver cirrhosis and 46% were treatment experienced. Fifty percent of patients were assigned to sofosbuvir (SOF)+pegylated IFN alfa (PegIFNa)+ribavirin (RBV), 9% to PegIFNa+RBV, 36% received SOF+RBV, and 5% SOF+daclatasvir (DCV)±RBV. Cirrhotic patients were assigned more frequently to IFN-free regimens. Overall, a sustained virological response was achieved by 84.3% of patients in intent-to-treat (ITT) analysis and 87% in modified ITT analysis. For SOF+PegIFNa+RBV and SOF+DCV±RBV regimens, the sustained virologic response (SVR) rate reached at least 90%, whereas the two other therapeutic options demonstrated efficacy <80%. The SVR rate in noncirrhotics was higher than in cirrhotics, irrespective of regimen. Adverse events were documented in 52.5%, with the most common being weakness/fatigue and anemia. We confirmed effectiveness and safety of the SOF-based treatment in a real-world cohort of patients with chronic HCV G3 infection. Most notably, we demonstrated good tolerability and high efficacy of the SOF+PegIFNa+RBV regimen.
Wang, Faming; Gao, Chuansi; Kuklane, Kalev; Holmér, Ingvar
2011-08-01
This paper addresses selection between two calculation options, i.e heat loss option and mass loss option, for thermal manikin measurements on clothing evaporative resistance conducted in an isothermal condition (T(manikin) = T(a) = T(r)). Five vocational clothing ensembles with a thermal insulation range of 1.05-2.58 clo were selected and measured on a sweating thermal manikin 'Tore'. The reasons why the isothermal heat loss method generates a higher evaporative resistance than that of the mass loss method were thoroughly investigated. In addition, an indirect approach was applied to determine the amount of evaporative heat energy taken from the environment. It was found that clothing evaporative resistance values by the heat loss option were 11.2-37.1% greater than those based on the mass loss option. The percentage of evaporative heat loss taken from the environment (H(e,env)) for all test scenarios ranged from 10.9 to 23.8%. The real evaporative cooling efficiency ranged from 0.762 to 0.891, respectively. Furthermore, it is evident that the evaporative heat loss difference introduced by those two options was equal to the heat energy taken from the environment. In order to eliminate the combined effects of dry heat transfer, condensation, and heat pipe on clothing evaporative resistance, it is suggested that manikin measurements on the determination of clothing evaporative resistance should be performed in an isothermal condition. Moreover, the mass loss method should be applied to calculate clothing evaporative resistance. The isothermal heat loss method would appear to overestimate heat stress and thus should be corrected before use.
Framing Options as Choice or Opportunity: Does the Frame Influence Decisions?
Abhyankar, Purva; Summers, Barbara A; Velikova, Galina; Bekker, Hilary L
2014-07-01
Health professionals must enable patients to make informed decisions about health care choices through unbiased presentation of all options. This study examined whether presenting the decision as "opportunity" rather than "choice" biased individuals' preferences in the context of trial participation for cancer treatment. Self-selecting healthy women (N = 124) were randomly assigned to the following decision frames: opportunity to take part in the trial (opt-in), opportunity to be removed from the trial (opt-out), and choice to have standard treatment or take part in the trial (choice). The computer-based task required women to make a hypothetical choice about a real-world cancer treatment trial. The software presented the framed scenario, recorded initial preference, presented comprehensive and balanced information, traced participants' use of information during decision making, and recorded final decision. A posttask paper questionnaire assessed perceived risk, attitudes, subjective norm, perceived behavioral control, and satisfaction with decision. Framing influenced women's immediate preferences. Opportunity frames, whether opt-in or opt-out, introduced a bias as they discouraged women from choosing standard treatment. Using the choice frame avoided this bias. The opt-out opportunity frame also affected women's perceived social norm; women felt that others endorsed the trial option. The framing bias was not present once participants had had the opportunity to view detailed information on the options within a patient decision aid format. There were no group differences in information acquisition and final decisions. Sixteen percent changed their initial preference after receiving full information. A "choice" frame, where all treatment options are explicit, is less likely to bias preferences. Presentation of full information in parallel, option-by-attribute format is likely to "de-bias" the decision frame. Tailoring of information to initial preferences would be ill-advised as preferences may change following detailed information. © The Author(s) 2014.
Development of a Virtual Museum Including a 4d Presentation of Building History in Virtual Reality
NASA Astrophysics Data System (ADS)
Kersten, T. P.; Tschirschwitz, F.; Deggim, S.
2017-02-01
In the last two decades the definition of the term "virtual museum" changed due to rapid technological developments. Using today's available 3D technologies a virtual museum is no longer just a presentation of collections on the Internet or a virtual tour of an exhibition using panoramic photography. On one hand, a virtual museum should enhance a museum visitor's experience by providing access to additional materials for review and knowledge deepening either before or after the real visit. On the other hand, a virtual museum should also be used as teaching material in the context of museum education. The laboratory for Photogrammetry & Laser Scanning of the HafenCity University Hamburg has developed a virtual museum (VM) of the museum "Alt-Segeberger Bürgerhaus", a historic town house. The VM offers two options for visitors wishing to explore the museum without travelling to the city of Bad Segeberg, Schleswig-Holstein, Germany. Option a, an interactive computer-based, tour for visitors to explore the exhibition and to collect information of interest or option b, to immerse into virtual reality in 3D with the HTC Vive Virtual Reality System.
Developing an electronic system to manage and track emergency medications.
Hamm, Mark W; Calabrese, Samuel V; Knoer, Scott J; Duty, Ashley M
2018-03-01
The development of a Web-based program to track and manage emergency medications with radio frequency identification (RFID) is described. At the Cleveland Clinic, medication kit restocking records and dispense locations were historically documented using a paper record-keeping system. The Cleveland Clinic investigated options to replace the paper-based tracking logs with a Web-based program that could track the real-time location and inventory of emergency medication kits. Vendor collaboration with a board of pharmacy (BOP) compliance inspector and pharmacy personnel resulted in the creation of a dual barcoding system using medication and pocket labels. The Web-based program was integrated with a Cleveland Clinic-developed asset tracking system using active RFID tags to give the real-time location of the medication kit. The Web-based program and the asset tracking system allowed identification of kits nearing expiration or containing recalled medications. Conversion from a paper-based system to a Web-based program began in October 2013. After 119 days, data were evaluated to assess the success of the conversion. Pharmacists spent an average of 27 minutes per day approving medication kits during the postimplementation period versus 102 minutes daily using the paper-based system, representing a 74% decrease in pharmacist time spent on this task. Prospective reports are generated monthly to allow the manager to assess the expected workload and adjust staffing for the next month. Implementation of a BOP-approved Web-based system for managing and tracking emergency medications with RFID integration decreased pharmacist review time, minimized compliance risk, and increased access to real-time data. Copyright © 2018 by the American Society of Health-System Pharmacists, Inc. All rights reserved.
NASA Technical Reports Server (NTRS)
Gibson, James S.; Barnes, Michael J.; Ostermiller, Daniel L.
1993-01-01
A set of programs was written to test the functionality and performance of the Alsys Ada implementation of the Catalogue of Interface Features and Options (CIFO), a set of optional Ada packages for real-time applications. No problems were found with the task id, preemption control, or shared-data packages. Minor problems were found with the dispatching control, dynamic priority, events, non-waiting entry call, semaphore, and scheduling packages. The Alsys implementation is derived mostly from Release 2 of the CIFO standard, but includes some of the features of Release 3 and some modifications unique to Alsys. Performance measurements show that the semaphore and shared-data features are an order-of-magnitude faster than the same mechanisms using an Ada rendezvous. The non-waiting entry call is slightly faster than a standard rendezvous. The existence of errors in the implementation, the incompleteness of the documentation from the published standard impair the usefulness of this implementation. Despite those short-comings, the Alsys CIFO implementation might be of value in the development of real-time applications.
Video rate morphological processor based on a redundant number representation
NASA Astrophysics Data System (ADS)
Kuczborski, Wojciech; Attikiouzel, Yianni; Crebbin, Gregory A.
1992-03-01
This paper presents a video rate morphological processor for automated visual inspection of printed circuit boards, integrated circuit masks, and other complex objects. Inspection algorithms are based on gray-scale mathematical morphology. Hardware complexity of the known methods of real-time implementation of gray-scale morphology--the umbra transform and the threshold decomposition--has prompted us to propose a novel technique which applied an arithmetic system without carrying propagation. After considering several arithmetic systems, a redundant number representation has been selected for implementation. Two options are analyzed here. The first is a pure signed digit number representation (SDNR) with the base of 4. The second option is a combination of the base-2 SDNR (to represent gray levels of images) and the conventional twos complement code (to represent gray levels of structuring elements). Operation principle of the morphological processor is based on the concept of the digit level systolic array. Individual processing units and small memory elements create a pipeline. The memory elements store current image windows (kernels). All operation primitives of processing units apply a unified direction of digit processing: most significant digit first (MSDF). The implementation technology is based on the field programmable gate arrays by Xilinx. This paper justified the rationality of a new approach to logic design, which is the decomposition of Boolean functions instead of Boolean minimization.
Ribozyme-mediated signal augmentation on a mass-sensitive biosensor.
Knudsen, Scott M; Lee, Joonhyung; Ellington, Andrew D; Savran, Cagri A
2006-12-20
Mass-based detection methods such as the quartz crystal microbalance (QCM) offer an attractive option to label-based methods; however the sensitivity is generally lower by comparison. In particular, low-molecular-weight analytes can be difficult to detect based on mass addition alone. In this communication, we present the use of effector-dependent ribozymes (aptazymes) as reagents for augmenting small ligand detection on a mass-sensitive device. Two distinct aptazymes were chosen: an L1-ligase-based aptazyme (L1-Rev), which is activated by a small peptide (MW approximately 2.4 kDa) from the HIV-1 Rev protein, and a hammerhead cleavase-based aptazyme (HH-theo3) activated by theophylline (MW = 180 Da). Aptazyme activity was observed in real time, and low-molecular-weight analyte detection has been successfully demonstrated with both aptazymes.
Gregory E. Frey; D. Evan Mercer; Frederick W. Cubbage; Robert C. Abt
2013-01-01
Efforts to restore the Lower Mississippi Alluvial Valleyâs forests have not achieved desired levels of ecosystem services production.We examined how the variability of returns and the flexibility to change or postpone decisions (option value) affects the economic potential of forestry and agroforestry systems to keep private land in production while still providing...
NASA Astrophysics Data System (ADS)
Meier, V. L.; Scuderi, L.; Fischer, T.; Realmuto, V.; Hilton, D.
2006-12-01
Measurements of volcanic SO2 emissions provide insight into the processes working below a volcano, which can presage volcanic events. Being able to measure SO2 in near real-time is invaluable for the planning and response of hazard mitigation teams. Currently, there are several methods used to quantify the SO2 output of degassing volcanoes. Ground and aerial-based measurements using the differential optical absorption spectrometer (mini-DOAS) provide real-time estimates of SO2 output. Satellite-based measurements, which can provide similar estimates in near real-time, have increasingly been used as a tool for volcanic monitoring. Direct Broadcast (DB) real-time processing of remotely sensed data from NASA's Earth Observing System (EOS) satellites (MODIS Terra and Aqua) presents volcanologists with a range of spectral bands and processing options for the study of volcanic emissions. While the spatial resolution of MODIS is 1 km in the Very Near Infrared (VNIR) and Thermal Infrared (TIR), a high temporal resolution and a wide range of radiance measurements in 32 channels between VNIR and TIR combine to provide a versatile space borne platform to monitor SO2 emissions from volcanoes. An important question remaining to be answered is how well do MODIS SO2 estimates compare with DOAS estimates? In 2004 ground-based plume measurements were collected on April 24th and 25th at Anatahan volcano in the Mariana Islands using a mini-DOAS (Fischer and Hilton). SO2 measurements for these same dates have also been calculated using MODIS images and SO2 mapping software (Realmuto). A comparison of these different approaches to the measurement of SO2 for the same plume is presented. Differences in these observations are used to better quantify SO2 emissions, to assess the current mismatch between ground based and remotely sensed retrievals, and to develop an approach to continuously and accurately monitor volcanic activity from space in near real-time.
Schauer, Stephanie L; Maerz, Thomas R; Verdon, Matthew J; Hopfensperger, Daniel J; Davis, Jeffrey P
2014-06-01
The Wisconsin Immunization Registry is a confidential, web-based system used since 1999 as a centralized repository of immunization information for Wisconsin residents. Provide evidence based on Registry experiences with electronic data exchange, comparing the benefits and drawbacks of using the Health Level 7 standard, including the option for real time data exchange vs the flat file method. For data regarding vaccinations received by children aged 4 months through 6 years with Wisconsin addresses that were submitted to the Registry during 2010 and 2011, data timeliness (days from vaccine administration to date information was received) and completeness (percentage of records received that include core data elements for electronic storage) were compared by file submission method. Data submitted using Health Level 7 were substantially more timely than data submitted using the flat file method. Additionally, data submitted using Health Level 7 were substantially more complete for each of the core elements compared to flat file submission. Health care organizations that submit electronic data to immunization information systems should be aware that the technical decision to use the Health Level 7 format, particularly if real-time data exchange is employed, can result in more timely and accurate data. This will assist clinicians in adhering to the Advisory Committee on Immunization Practices schedule and reducing over-immunization.
Using videos, apps and hands-on experience in undergraduate hydrology teaching
NASA Astrophysics Data System (ADS)
Van Loon, Anne
2016-04-01
Hydrological sciences teaching always needs to make a link between the classroom and the outside world. This can be done with fieldwork and excursions, but the increasing availability of open educational resources gives more-and-more other options to make theory more understandable and applicable. In the undergraduate teaching of hydrology at the University of Birmingham we make use of a number of tools to enhance the hydrology 'experience' of students. Firstly, we add hydrological science videos available in the public domain to our explanations of theory. These are both visualisations of concepts and recorded demonstrations in the field or the lab. One example is the concept of catchments and travel times which has been excellently visualised by MetEd. Secondly, we use a number of mobile phone apps, which provide virtual reality information and real-time monitoring information. We use the MySoil App (by Natural Environment Research Council (NERC), British Geological Survey (BGS) and Centre for Ecology & Hydrology (CEH)) and iGeology / iGeology3D (by BGS) to let students explore soil properties and hydrogeology of an area of interest. And we use the River Levels App (by OGL based on Environment Agency real time data) for exploring real time river levels and investigating spatial variability. Finally, we developed small hands-on projects for students to apply the theory outside the classroom. We for instance let them do simple infiltration experiments and ask them to them design a measurement plan. Evaluations have shown that students enjoy these activities and that it helps their learning. In this presentation we hope to share our experience so that the options for using open (educational) resources for hydrology teaching become more used in linking the classroom to the outside world.
Treatment Disparities among African American Men with Depression: Implications for Clinical Practice
Hankerson, Sidney H.; Suite, Derek; Bailey, Rahn K.
2015-01-01
A decade has passed since the National Institute of Mental Health initiated its landmark Real Men Real Depression public education campaign. Despite increased awareness, depressed African American men continue to underutilize mental health treatment and have the highest all-cause mortality rates of any racial/ethnic group in the United States. We review a complex array of socio-cultural factors, including racism and discrimination, cultural mistrust, misdiagnosis and clinician bias, and informal support networks that contribute to treatment disparities. We identify clinical and community entry points to engage African American men. We provide specific recommendations for frontline mental health workers to increase depression treatment utilization for African American men. Providers who present treatment options within a frame of holistic health promotion may enhance treatment adherence. We encourage the use of multidisciplinary, community-based participatory research approaches to test our hypotheses and engage African American men in clinical research. PMID:25702724
Hankerson, Sidney H; Suite, Derek; Bailey, Rahn K
2015-02-01
A decade has passed since the National Institute of Mental Health initiated its landmark Real Men Real Depression public education campaign. Despite increased awareness, depressed African American men continue to underutilize mental health treatment and have the highest all-cause mortality rates of any racial/ethnic group in the United States. We review a complex array of socio-cultural factors, including racism and discrimination, cultural mistrust, misdiagnosis and clinician bias, and informal support networks that contribute to treatment disparities. We identify clinical and community entry points to engage African American men. We provide specific recommendations for frontline mental health workers to increase depression treatment utilization for African American men. Providers who present treatment options within a frame of holistic health promotion may enhance treatment adherence. We encourage the use of multidisciplinary, community-based participatory research approaches to test our hypotheses and engage African American men in clinical research.
How excluding some benefits from value assessment of new drugs impacts innovation.
Cook, Joseph P; Golec, Joseph
2017-12-01
Payers often assess the benefits of new drugs relative to costs for reimbursement purposes, but they frequently exclude some drugs' option-related benefits, reducing their reimbursement chances, and making them less attractive R&D investments. We develop and test a real options model of R&D investment that shows that excluding option-related benefits heightens drug developers' incentives to avoid high-risk (volatile) R&D investments and instead encourages them to focus on "safer" (positively skewed) investments. Our model and empirical results could partly explain the decline in the number of risky new molecular entities. Copyright © 2017 John Wiley & Sons, Ltd.
Improved Measures of Integrated Information
Tegmark, Max
2016-01-01
Although there is growing interest in measuring integrated information in computational and cognitive systems, current methods for doing so in practice are computationally unfeasible. Existing and novel integration measures are investigated and classified by various desirable properties. A simple taxonomy of Φ-measures is presented where they are each characterized by their choice of factorization method (5 options), choice of probability distributions to compare (3 × 4 options) and choice of measure for comparing probability distributions (7 options). When requiring the Φ-measures to satisfy a minimum of attractive properties, these hundreds of options reduce to a mere handful, some of which turn out to be identical. Useful exact and approximate formulas are derived that can be applied to real-world data from laboratory experiments without posing unreasonable computational demands. PMID:27870846
Kan, Monica W K; Leung, Lucullus H T; Yu, Peter K N
2013-11-04
A new version of progressive resolution optimizer (PRO) with an option of air cavity correction has been implemented for RapidArc volumetric-modulated arc therapy (RA). The purpose of this study was to compare the performance of this new PRO with the use of air cavity correction option (PRO10_air) against the one without the use of the air cavity correction option (PRO10_no-air) for RapidArc planning in targets with low-density media of different sizes and complexities. The performance of PRO10_no-air and PRO10_air was initially compared using single-arc plans created for four different simple heterogeneous phantoms with virtual targets and organs at risk. Multiple-arc planning of 12 real patients having nasopharyngeal carcinomas (NPC) and ten patients having non-small cell lung cancer (NSCLC) were then performed using the above two options for further comparison. Dose calculations were performed using both the Acuros XB (AXB) algorithm with the dose to medium option and the analytical anisotropic algorithm (AAA). The effect of using intermediate dose option after the first optimization cycle in PRO10_air and PRO10_no-air was also investigated and compared. Plans were evaluated and compared using target dose coverage, critical organ sparing, conformity index, and dose homogeneity index. For NSCLC cases or cases for which large volumes of low-density media were present in or adjacent to the target volume, the use of the air cavity correction option in PRO10 was shown to be beneficial. For NPC cases or cases for which small volumes of both low- and high-density media existed in the target volume, the use of air cavity correction in PRO10 did not improve the plan quality. Based on the AXB dose calculation results, the use of PRO10_air could produce up to 18% less coverage to the bony structures of the planning target volumes for NPC cases. When the intermediate dose option in PRO10 was used, there was negligible difference observed in plan quality between optimizations with and without using the air cavity correction option.
45 CFR 1306.33 - Home-based program option.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 45 Public Welfare 4 2013-10-01 2013-10-01 false Home-based program option. 1306.33 Section 1306.33... PROGRAM HEAD START STAFFING REQUIREMENTS AND PROGRAM OPTIONS Head Start Program Options § 1306.33 Home-based program option. (a) Grantees implementing a home-based program option must: (1) Provide one home...
45 CFR 1306.33 - Home-based program option.
Code of Federal Regulations, 2014 CFR
2014-10-01
... 45 Public Welfare 4 2014-10-01 2014-10-01 false Home-based program option. 1306.33 Section 1306.33... PROGRAM HEAD START STAFFING REQUIREMENTS AND PROGRAM OPTIONS Head Start Program Options § 1306.33 Home-based program option. (a) Grantees implementing a home-based program option must: (1) Provide one home...
45 CFR 1306.33 - Home-based program option.
Code of Federal Regulations, 2012 CFR
2012-10-01
... 45 Public Welfare 4 2012-10-01 2012-10-01 false Home-based program option. 1306.33 Section 1306.33... PROGRAM HEAD START STAFFING REQUIREMENTS AND PROGRAM OPTIONS Head Start Program Options § 1306.33 Home-based program option. (a) Grantees implementing a home-based program option must: (1) Provide one home...
Kolling, Nils; Nelissen, Natalie; Wittmann, Marco K.; Harmer, Catherine J.; Rushworth, Matthew F. S.
2015-01-01
Natural environments are complex, and a single choice can lead to multiple outcomes. Agents should learn which outcomes are due to their choices and therefore relevant for future decisions and which are stochastic in ways common to all choices and therefore irrelevant for future decisions between options. We designed an experiment in which human participants learned the varying reward and effort magnitudes of two options and repeatedly chose between them. The reward associated with a choice was randomly real or hypothetical (i.e., participants only sometimes received the reward magnitude associated with the chosen option). The real/hypothetical nature of the reward on any one trial was, however, irrelevant for learning the longer-term values of the choices, and participants ought to have only focused on the informational content of the outcome and disregarded whether it was a real or hypothetical reward. However, we found that participants showed an irrational choice bias, preferring choices that had previously led, by chance, to a real reward in the last trial. Amygdala and ventromedial prefrontal activity was related to the way in which participants' choices were biased by real reward receipt. By contrast, activity in dorsal anterior cingulate cortex, frontal operculum/anterior insula, and especially lateral anterior prefrontal cortex was related to the degree to which participants resisted this bias and chose effectively in a manner guided by aspects of outcomes that had real and more sustained relationships with particular choices, suppressing irrelevant reward information for more optimal learning and decision making. SIGNIFICANCE STATEMENT In complex natural environments, a single choice can lead to multiple outcomes. Human agents should only learn from outcomes that are due to their choices, not from outcomes without such a relationship. We designed an experiment to measure learning about reward and effort magnitudes in an environment in which other features of the outcome were random and had no relationship with choice. We found that, although people could learn about reward magnitudes, they nevertheless were irrationally biased toward repeating certain choices as a function of the presence or absence of random reward features. Activity in different brain regions in the prefrontal cortex either reflected the bias or reflected resistance to the bias. PMID:26269633
Allergy Medications: Know Your Options
... as peanuts, or if you're allergic to bee or wasp venom. A second injection is often ... eligible candidate to mite immunotherapy in the real world. Allergy, Asthma & Clinical Immunology. 2017;13:11. Overview ...
Fundamental concerns of women living with HIV around the implementation of Option B+
Matheson, Rebecca; Moses-Burton, Suzette; Hsieh, Amy C; Dilmitis, Sophie; Happy, Margaret; Sinyemu, Eunice; Brion, Sophie O; Sharma, Aditi
2015-01-01
Introduction In 2011, the Global Plan towards the Elimination of New HIV Infections among Children by 2015 and Keeping Their Mothers Alive was launched to scale up efforts to comprehensively end vertical HIV transmission and support mothers living with HIV in remaining healthy. Amidst excitement around using treatment as prevention, Malawi's Ministry of Health conceived Option B+, a strategy used to prevent vertical transmission by initiating all pregnant and breastfeeding women living with HIV on lifelong antiretroviral therapy, irrespective of CD4 count. In 2013, for programmatic and operational reasons, the WHO officially recommended Option B+ to countries with generalized epidemics, limited access to CD4 testing, limited partner testing, long breastfeeding duration or high fertility rates. Discussion While acknowledging the opportunity to increase treatment access globally and its potential, this commentary reviews the concerns of women living with HIV about human rights, community-based support and other barriers to service uptake and retention in the Option B+ context. Option B+ intensifies many of the pre-existing challenges of HIV prevention and treatment programmes. As women seek comprehensive services to prevent vertical transmission, they can experience various human rights violations, including lack of informed consent, involuntary or coercive HIV testing, limited treatment options, termination of pregnancy or coerced sterilization and pressure to start treatment. Yet, peer and community support strategies can promote treatment readiness, uptake, adherence and lifelong retention in care; reduce stigma and discrimination; and mitigate potential violence stemming from HIV disclosure. Ensuring available and accessible quality care, offering food support and improving linkages to care could increase service uptake and retention. With the heightened focus on interventions to reach pregnant and breastfeeding women living with HIV, a parallel increase in vigilance to secure their health and rights is critical. Conclusion The authors conclude that real progress towards reducing vertical transmission and achieving viral load suppression can only be made by upholding the human rights of women living with HIV, investing in community-based responses, and ensuring universal access to quality healthcare. Only then will the opportunity of accessing lifelong treatment result in improving the health, dignity and lives of women living with HIV, their children and families. PMID:26643459
Fundamental concerns of women living with HIV around the implementation of Option B+.
Matheson, Rebecca; Moses-Burton, Suzette; Hsieh, Amy C; Dilmitis, Sophie; Happy, Margaret; Sinyemu, Eunice; Brion, Sophie O; Sharma, Aditi
2015-01-01
In 2011, the Global Plan towards the Elimination of New HIV Infections among Children by 2015 and Keeping Their Mothers Alive was launched to scale up efforts to comprehensively end vertical HIV transmission and support mothers living with HIV in remaining healthy. Amidst excitement around using treatment as prevention, Malawi's Ministry of Health conceived Option B+, a strategy used to prevent vertical transmission by initiating all pregnant and breastfeeding women living with HIV on lifelong antiretroviral therapy, irrespective of CD4 count. In 2013, for programmatic and operational reasons, the WHO officially recommended Option B+ to countries with generalized epidemics, limited access to CD4 testing, limited partner testing, long breastfeeding duration or high fertility rates. While acknowledging the opportunity to increase treatment access globally and its potential, this commentary reviews the concerns of women living with HIV about human rights, community-based support and other barriers to service uptake and retention in the Option B+ context. Option B+ intensifies many of the pre-existing challenges of HIV prevention and treatment programmes. As women seek comprehensive services to prevent vertical transmission, they can experience various human rights violations, including lack of informed consent, involuntary or coercive HIV testing, limited treatment options, termination of pregnancy or coerced sterilization and pressure to start treatment. Yet, peer and community support strategies can promote treatment readiness, uptake, adherence and lifelong retention in care; reduce stigma and discrimination; and mitigate potential violence stemming from HIV disclosure. Ensuring available and accessible quality care, offering food support and improving linkages to care could increase service uptake and retention. With the heightened focus on interventions to reach pregnant and breastfeeding women living with HIV, a parallel increase in vigilance to secure their health and rights is critical. The authors conclude that real progress towards reducing vertical transmission and achieving viral load suppression can only be made by upholding the human rights of women living with HIV, investing in community-based responses, and ensuring universal access to quality healthcare. Only then will the opportunity of accessing lifelong treatment result in improving the health, dignity and lives of women living with HIV, their children and families.
48 CFR 570.105-2 - Two-phase design-build selection procedures.
Code of Federal Regulations, 2010 CFR
2010-10-01
... lease construction projects with options to purchase the real property leased. Use the procedures in.... (iii) The capability and experience of potential contractors. (iv) The suitability of the project for...
Yankson, Kweku K.; Steck, Todd R.
2009-01-01
We present a simple strategy for isolating and accurately enumerating target DNA from high-clay-content soils: desorption with buffers, an optional magnetic capture hybridization step, and quantitation via real-time PCR. With the developed technique, μg quantities of DNA were extracted from mg samples of pure kaolinite and a field clay soil. PMID:19633108
Lu, Naiji; Wu, Hong
2016-11-26
Health care service is a high-credence service and patients may face difficulties ascertaining service quality in order to make choices about their available treatment options. Online health communities (OHCs) provide a convenient channel for patients to search for physicians' information, such as Word-of-Mouth (WOM), particularly on physicians' service quality evaluated by other patients. Existing studies from other service domains have proved that WOM impacts consumer choice. However, how patients make a choice based on physicians' WOM has not been studied, particularly with reference to different patient characteristics and by using real data. One thousand eight hundred fifty three physicians' real data were collected from a Chinese online health community. The data were analyzed using ordinary least squares (OLS) method. The study found that functional quality negatively moderated the relationship between technical quality and patient choice, and disease risk moderated the relationship between physicians' service quality and patient choice. Our study recommends that hospital managers need to consider the roles of both technical quality and functional quality seriously. Physicians should improve their medical skills and bedside manners based on the severity and type of disease to provide better service.
Advanced ECCD based NTM control in closed-loop operation at ASDEX Upgrade (AUG)
NASA Astrophysics Data System (ADS)
Reich, Matthias; Barrera-Orte, Laura; Behler, Karl; Bock, Alexander; Giannone, Louis; Maraschek, Marc; Poli, Emanuele; Rapson, Chris; Stober, Jörg; Treutterer, Wolfgang
2012-10-01
In high performance plasmas, Neoclassical Tearing Modes (NTMs) are regularly observed at reactor-grade beta-values. They limit the achievable normalized beta, which is undesirable because fusion performance scales as beta squared. The method of choice for controlling and avoiding NTMs at AUG is the deposition of ECCD inside the magnetic island for stabilization in real-time (rt). Our approach to tackling such complex control problems using real-time diagnostics allows rigorous optimization of all subsystems. Recent progress in rt-equilibrium reconstruction (< 3.5 ms), rt-localization of NTMs (< 8 ms) and rt beam tracing (< 25 ms) allows closed-loop feedback operation using multiple movable mirrors as the ECCD deposition actuator. The rt-equilibrium uses function parametrization or a fast Grad-Shafranov solver with an option to include rt-MSE measurements. The island localization is based on a correlation of ECE and filtered Mirnov signals. The rt beam-tracing module provides deposition locations and their derivative versus actuator position of multiple gyrotrons. The ``MHD controller'' finally drives the actuators. Results utilizing closed-loop operation with multiple gyrotrons and their effect on NTMs are shown.
MO-B-BRC-04: MRI-Based Prostate HDR
DOE Office of Scientific and Technical Information (OSTI.GOV)
Mourtada, F.
2016-06-15
Brachytherapy has proven to be an effective treatment option for prostate cancer. Initially, prostate brachytherapy was delivered through permanently implanted low dose rate (LDR) radioactive sources; however, high dose rate (HDR) temporary brachytherapy for prostate cancer is gaining popularity. Needle insertion during prostate brachytherapy is most commonly performed under ultrasound (U/S) guidance; however, treatment planning may be performed utilizing several imaging modalities either in an intra- or post-operative setting. During intra-operative prostate HDR, the needles are imaged during implantation, and planning may be performed in real time. At present, the most common imaging modality utilized for intra-operative prostate HDR ismore » U/S. Alternatively, in the post-operative setting, following needle implantation, patients may be simulated with computed tomography (CT) or magnetic resonance imaging (MRI). Each imaging modality and workflow provides its share of benefits and limitations. Prostate HDR has been adopted in a number of cancer centers across the nation. In this educational session, we will explore the role of U/S, CT, and MRI in HDR prostate brachytherapy. Example workflows and operational details will be shared, and we will discuss how to establish a prostate HDR program in a clinical setting. Learning Objectives: Review prostate HDR techniques based on the imaging modality Discuss the challenges and pitfalls introduced by the three imagebased options for prostate HDR brachytherapy Review the QA process and learn about the development of clinical workflows for these imaging options at different institutions.« less
MO-B-BRC-02: Ultrasound Based Prostate HDR
DOE Office of Scientific and Technical Information (OSTI.GOV)
Chang, Z.
2016-06-15
Brachytherapy has proven to be an effective treatment option for prostate cancer. Initially, prostate brachytherapy was delivered through permanently implanted low dose rate (LDR) radioactive sources; however, high dose rate (HDR) temporary brachytherapy for prostate cancer is gaining popularity. Needle insertion during prostate brachytherapy is most commonly performed under ultrasound (U/S) guidance; however, treatment planning may be performed utilizing several imaging modalities either in an intra- or post-operative setting. During intra-operative prostate HDR, the needles are imaged during implantation, and planning may be performed in real time. At present, the most common imaging modality utilized for intra-operative prostate HDR ismore » U/S. Alternatively, in the post-operative setting, following needle implantation, patients may be simulated with computed tomography (CT) or magnetic resonance imaging (MRI). Each imaging modality and workflow provides its share of benefits and limitations. Prostate HDR has been adopted in a number of cancer centers across the nation. In this educational session, we will explore the role of U/S, CT, and MRI in HDR prostate brachytherapy. Example workflows and operational details will be shared, and we will discuss how to establish a prostate HDR program in a clinical setting. Learning Objectives: Review prostate HDR techniques based on the imaging modality Discuss the challenges and pitfalls introduced by the three imagebased options for prostate HDR brachytherapy Review the QA process and learn about the development of clinical workflows for these imaging options at different institutions.« less
Immunotherapy for recurrent ovarian cancer: a further piece of the puzzle or a striking strategy?
Bronte, Giuseppe; Cicero, Giuseppe; Sortino, Giovanni; Pernice, Gianfranco; Catarella, Maria Teresa; D'Alia, Paolo; Cusenza, Stefania; Lo Dico, Silvia; Bronte, Enrico; Sprini, Delia; Midiri, Massimo; Firenze, Alberto; Fiorentino, Eugenio; Bazan, Viviana; Rolfo, Christian; Russo, Antonio
2014-01-01
Treatment of ovarian cancer has been long standardized with the inclusion of surgery and chemotherapy based on platinum and taxanes, this strategy reaching high remission rates. However, when this treatment fails, further options are available with little benefit. Since ovarian cancer has specific immunologic features, actually immunotherapy is under evaluation to overcome treatment failure in patients experiencing recurrence. Immunogenicity of ovarian cancer and its relationship with clinical outcomes is briefly reviewed. The kinds of immunotherapeutic strategies are summarized. The clinical trials investigating immunotherapy in recurrent ovarian cancer patients are reported. The results of these clinical trials about immunotherapy are interesting, but little clinical benefit has been achieved until now. For this reason, we could conclude that immunotherapy is quite different from other treatment options and it could change the global approach for recurrent ovarian cancer treatment. However, to date only fragmentary findings are available to define the real role of immunotherapy in this setting.
Neurobiological and memory models of risky decision making in adolescents versus young adults.
Reyna, Valerie F; Estrada, Steven M; DeMarinis, Jessica A; Myers, Regina M; Stanisz, Janine M; Mills, Britain A
2011-09-01
Predictions of fuzzy-trace theory and neurobiological approaches are examined regarding risk taking in a classic decision-making task--the framing task--as well as in the context of real-life risk taking. We report the 1st study of framing effects in adolescents versus adults, varying risk and reward, and relate choices to individual differences, sexual behavior, and behavioral intentions. As predicted by fuzzy-trace theory, adolescents modulated risk taking according to risk and reward. Adults showed standard framing, reflecting greater emphasis on gist-based (qualitative) reasoning, but adolescents displayed reverse framing when potential gains for risk taking were high, reflecting greater emphasis on verbatim-based (quantitative) reasoning. Reverse framing signals a different way of thinking compared with standard framing (reverse framing also differs from simply choosing the risky option). Measures of verbatim- and gist-based reasoning about risk, sensation seeking, behavioral activation, and inhibition were used to extract dimensions of risk proneness: Sensation seeking increased and then decreased, whereas inhibition increased from early adolescence to young adulthood, predicted by neurobiological theories. Two additional dimensions, verbatim- and gist-based reasoning about risk, loaded separately and predicted unique variance in risk taking. Importantly, framing responses predicted real-life risk taking. Reasoning was the most consistent predictor of real-life risk taking: (a) Intentions to have sex, sexual behavior, and number of partners decreased when gist-based reasoning was triggered by retrieval cues in questions about perceived risk, whereas (b) intentions to have sex and number of partners increased when verbatim-based reasoning was triggered by different retrieval cues in questions about perceived risk. (c) 2011 APA, all rights reserved.
A Multi-Objective Approach to Tactical Maneuvering Within Real Time Strategy Games
The resulting agent does not require the usage of training or tree searches to optimize, allowing for consist effective performance across all scenarios against a variety of opposing tactical options.
Cost and cost-effectiveness of tuberculosis treatment shortening: a model-based analysis.
Gomez, G B; Dowdy, D W; Bastos, M L; Zwerling, A; Sweeney, S; Foster, N; Trajman, A; Islam, M A; Kapiga, S; Sinanovic, E; Knight, G M; White, R G; Wells, W A; Cobelens, F G; Vassall, A
2016-12-01
Despite improvements in treatment success rates for tuberculosis (TB), current six-month regimen duration remains a challenge for many National TB Programmes, health systems, and patients. There is increasing investment in the development of shortened regimens with a number of candidates in phase 3 trials. We developed an individual-based decision analytic model to assess the cost-effectiveness of a hypothetical four-month regimen for first-line treatment of TB, assuming non-inferiority to current regimens of six-month duration. The model was populated using extensive, empirically-collected data to estimate the economic impact on both health systems and patients of regimen shortening for first-line TB treatment in South Africa, Brazil, Bangladesh, and Tanzania. We explicitly considered 'real world' constraints such as sub-optimal guideline adherence. From a societal perspective, a shortened regimen, priced at USD1 per day, could be a cost-saving option in South Africa, Brazil, and Tanzania, but would not be cost-effective in Bangladesh when compared to one gross domestic product (GDP) per capita. Incorporating 'real world' constraints reduces cost-effectiveness. Patient-incurred costs could be reduced in all settings. From a health service perspective, increased drug costs need to be balanced against decreased delivery costs. The new regimen would remain a cost-effective option, when compared to each countries' GDP per capita, even if new drugs cost up to USD7.5 and USD53.8 per day in South Africa and Brazil; this threshold was above USD1 in Tanzania and under USD1 in Bangladesh. Reducing the duration of first-line TB treatment has the potential for substantial economic gains from a patient perspective. The potential economic gains for health services may also be important, but will be context-specific and dependent on the appropriate pricing of any new regimen.
Application of Real Options Analysis in the Valuation of Investment in Biodiesel Production
2011-05-01
biodiesel) at time t, P(t) be assumed to evolve as the stochastic process given by the geometric Brownian motion (GBM). Then PdWPdtdP...Equation (3) Then in any differential time interval, dt, dX follows an arithmetic Brownian motion , which under risk neutral valuation, will be given by...valuation of American put options,” Journal of Finance 32 (May), pp.449-462. 5. Brennan, M. and E. Schwartz, 1978, “Finite difference methods and
A serial digital data communications device. [for real time flight simulation
NASA Technical Reports Server (NTRS)
Fetter, J. L.
1977-01-01
A general purpose computer peripheral device which is used to provide a full-duplex, serial, digital data transmission link between a Xerox Sigma computer and a wide variety of external equipment, including computers, terminals, and special purpose devices is reported. The interface has an extensive set of user defined options to assist the user in establishing the necessary data links. This report describes those options and other features of the serial communications interface and its performance by discussing its application to a particular problem.
2016-12-01
chosen rather than complex ones , and responds to the criticism of the DTA approach. Chapter IV provides three separate case studies in defense R&D...defense R&D projects. To this end, the first section describes the case study method and the advantages of using simple models over more complex ones ...the analysis lacked empirical data and relied on subjective data, the analysis successfully combined the DTA approach with the case study method and
NASA Astrophysics Data System (ADS)
Mantegna, Rosario N.; Stanley, H. Eugene
2007-08-01
Preface; 1. Introduction; 2. Efficient market hypothesis; 3. Random walk; 4. Lévy stochastic processes and limit theorems; 5. Scales in financial data; 6. Stationarity and time correlation; 7. Time correlation in financial time series; 8. Stochastic models of price dynamics; 9. Scaling and its breakdown; 10. ARCH and GARCH processes; 11. Financial markets and turbulence; 12. Correlation and anti-correlation between stocks; 13. Taxonomy of a stock portfolio; 14. Options in idealized markets; 15. Options in real markets; Appendix A: notation guide; Appendix B: martingales; References; Index.
Levy, Ifat; Rosenberg Belmaker, Lior; Manson, Kirk; Tymula, Agnieszka; Glimcher, Paul W
2012-09-19
Most of the choices we make have uncertain consequences. In some cases the probabilities for different possible outcomes are precisely known, a condition termed "risky". In other cases when probabilities cannot be estimated, this is a condition described as "ambiguous". While most people are averse to both risk and ambiguity(1,2), the degree of those aversions vary substantially across individuals, such that the subjective value of the same risky or ambiguous option can be very different for different individuals. We combine functional MRI (fMRI) with an experimental economics-based method(3 )to assess the neural representation of the subjective values of risky and ambiguous options(4). This technique can be now used to study these neural representations in different populations, such as different age groups and different patient populations. In our experiment, subjects make consequential choices between two alternatives while their neural activation is tracked using fMRI. On each trial subjects choose between lotteries that vary in their monetary amount and in either the probability of winning that amount or the ambiguity level associated with winning. Our parametric design allows us to use each individual's choice behavior to estimate their attitudes towards risk and ambiguity, and thus to estimate the subjective values that each option held for them. Another important feature of the design is that the outcome of the chosen lottery is not revealed during the experiment, so that no learning can take place, and thus the ambiguous options remain ambiguous and risk attitudes are stable. Instead, at the end of the scanning session one or few trials are randomly selected and played for real money. Since subjects do not know beforehand which trials will be selected, they must treat each and every trial as if it and it alone was the one trial on which they will be paid. This design ensures that we can estimate the true subjective value of each option to each subject. We then look for areas in the brain whose activation is correlated with the subjective value of risky options and for areas whose activation is correlated with the subjective value of ambiguous options.
Visualization-based analysis of multiple response survey data
NASA Astrophysics Data System (ADS)
Timofeeva, Anastasiia
2017-11-01
During the survey, the respondents are often allowed to tick more than one answer option for a question. Analysis and visualization of such data have difficulties because of the need for processing multiple response variables. With standard representation such as pie and bar charts, information about the association between different answer options is lost. The author proposes a visualization approach for multiple response variables based on Venn diagrams. For a more informative representation with a large number of overlapping groups it is suggested to use similarity and association matrices. Some aggregate indicators of dissimilarity (similarity) are proposed based on the determinant of the similarity matrix and the maximum eigenvalue of association matrix. The application of the proposed approaches is well illustrated by the example of the analysis of advertising sources. Intersection of sets indicates that the same consumer audience is covered by several advertising sources. This information is very important for the allocation of the advertising budget. The differences between target groups in advertising sources are of interest. To identify such differences the hypothesis of homogeneity and independence are tested. Recent approach to the problem are briefly reviewed and compared. An alternative procedure is suggested. It is based on partition of a consumer audience into pairwise disjoint subsets and includes hypothesis testing of the difference between the population proportions. It turned out to be more suitable for the real problem being solved.
2015-01-01
Background In contemporary complex societies, social values like ethics, corporate social responsibility, and being respectful with the environment, among others, are becoming social requirements. Corporations are expected to fulfill them and, according to empirical evidence, an overwhelming majority aspires to good social valuation. At the same time, the maximization of market share value in the long run continues to be the central corporate goal. Making environmental and social expenses compatible with value creation is a central challenge for corporations since it implies the financial sustainability of Corporate Social Responsibility (CSR). Methods and Results The value creation capacity of CSR projects, mainly through innovation, is widely acknowledged in economic literature and corporate practice. This fact arouses the need of having a quantitative framework capable of summarizing the value creation capacity of the variables involved in CSR projects. With this aim we build up a sensitivity analysis of real option ratios that studies and quantifies the value creation capacity of CSR projects connected with innovation. Ratio analysis has the advantage of being scale independent. Hence, it furnishes a homogeneous framework to express the interaction of value creation variables and, thus, supports strategic thinking quantitatively. Often, CSR expenses can be regarded as preliminary projects that create the opportunity to undertake a full future project. For them, we obtain the minimum expectations scenario that makes financially sustainable a preliminary project that can be interpreted as a call option. We propose a classification of CSR projects from the decision analysis perspective following a two-fold approach: Their relationship with value creation and their links with existing corporate activities. This classification of CSR projects aims at contributing to choose the best capital budgeting method to study the financial sustainability of the project and identifying those CSR projects that fulfill the required features to be studied from the real options perspective. PMID:25938410
Bosch-Badia, Maria-Teresa; Montllor-Serrats, Joan; Tarrazon-Rodon, Maria-Antonia
2015-01-01
In contemporary complex societies, social values like ethics, corporate social responsibility, and being respectful with the environment, among others, are becoming social requirements. Corporations are expected to fulfill them and, according to empirical evidence, an overwhelming majority aspires to good social valuation. At the same time, the maximization of market share value in the long run continues to be the central corporate goal. Making environmental and social expenses compatible with value creation is a central challenge for corporations since it implies the financial sustainability of Corporate Social Responsibility (CSR). The value creation capacity of CSR projects, mainly through innovation, is widely acknowledged in economic literature and corporate practice. This fact arouses the need of having a quantitative framework capable of summarizing the value creation capacity of the variables involved in CSR projects. With this aim we build up a sensitivity analysis of real option ratios that studies and quantifies the value creation capacity of CSR projects connected with innovation. Ratio analysis has the advantage of being scale independent. Hence, it furnishes a homogeneous framework to express the interaction of value creation variables and, thus, supports strategic thinking quantitatively. Often, CSR expenses can be regarded as preliminary projects that create the opportunity to undertake a full future project. For them, we obtain the minimum expectations scenario that makes financially sustainable a preliminary project that can be interpreted as a call option. We propose a classification of CSR projects from the decision analysis perspective following a two-fold approach: Their relationship with value creation and their links with existing corporate activities. This classification of CSR projects aims at contributing to choose the best capital budgeting method to study the financial sustainability of the project and identifying those CSR projects that fulfill the required features to be studied from the real options perspective.
Comparative analysis of dynamic pricing strategies for managed lanes.
DOT National Transportation Integrated Search
2015-06-01
The objective of this research is to investigate and compare the performances of different : dynamic pricing strategies for managed lanes facilities. These pricing strategies include real-time : traffic responsive methods, as well as refund options a...
Guide to analyzing investment options using TWIGS.
Charles R Blinn; Dietmar W. Rose; Monique L. Belli
1988-01-01
Describes methods for analyzing economic return of simulated stand management alternatives in TWIGS. Defines and discusses net present value, equivalent annual income, soil expectation value, and real vs. nominal analyses. Discusses risk and sensitivity analysis when comparing alternatives.
Evidence-based recommendations for the prescription of exercise for major depressive disorder.
Rethorst, Chad D; Trivedi, Madhukar H
2013-05-01
Major depressive disorder (MDD) is a source of great disease burden, due in part to the limited accessibility and effectiveness of current treatments. Although current treatments are efficacious in a segment of the population with MDD, there is a clear need for alternative and augmentation treatment strategies. Exercise is one such alternative treatment option. Research has shown exercise to be efficacious as both a stand-alone and an augmentation therapy. As a result, exercise is now included in the American Psychiatric Association's treatment recommendations. The purpose of this article is to provide clinicians with a knowledge base to prescribe exercise to their patients. The authors describe the evidence supporting the use of exercise in the treatment of MDD, provide evidence-based recommendations for prescribing exercise, and address practical considerations related to prescribing exercise in real-world treatment settings.
Real-time breath analysis with active capillary plasma ionization-ambient mass spectrometry.
Bregy, Lukas; Sinues, Pablo Martinez-Lozano; Nudnova, Maryia M; Zenobi, Renato
2014-06-01
On-line analysis of exhaled human breath is a growing area in analytical science, for applications such as fast and non-invasive medical diagnosis and monitoring. In this work, we present a novel approach based on ambient ionization of compounds in breath and subsequent real-time mass spectrometric analysis. We introduce a plasma ionization source for this purpose, which has no need for additional gases, is very small, and is easily interfaced with virtually any commercial atmospheric pressure ionization mass spectrometer (API-MS) without major modifications. If an API-MS instrument exists in a laboratory, the cost to implement this technology is only around [Formula: see text]500, far less than the investment for a specialized mass spectrometric system designed for volatile organic compounds (VOCs) analysis. In this proof-of-principle study we were able to measure mass spectra of exhaled human breath and found these to be comparable to spectra obtained with other electrospray-based methods. We detected over 100 VOCs, including relevant metabolites like fatty acids, with molecular weights extending up to 340 Da. In addition, we were able to monitor the time-dependent evolution of the peaks and show the enhancement of the metabolism after a meal. We conclude that this approach may complement current methods to analyze breath or other types of vapors, offering an affordable option to upgrade any pre-existing API-MS to a real-time breath analyzer.
Colorectal cancer screening: The role of the noninvasive options.
Dickerson, Lisa; Varcak, Susan Combs
2016-09-01
Recommended screening options for colorectal cancer are divided into noninvasive stool-based options, and invasive procedure-based options. Because multiple screening strategies are effective, efforts to reduce deaths from colorectal cancer should focus on maximizing the number of patients who are screened. This article reviews noninvasive stool-based screening options.
Real time wave forecasting using wind time history and numerical model
NASA Astrophysics Data System (ADS)
Jain, Pooja; Deo, M. C.; Latha, G.; Rajendran, V.
Operational activities in the ocean like planning for structural repairs or fishing expeditions require real time prediction of waves over typical time duration of say a few hours. Such predictions can be made by using a numerical model or a time series model employing continuously recorded waves. This paper presents another option to do so and it is based on a different time series approach in which the input is in the form of preceding wind speed and wind direction observations. This would be useful for those stations where the costly wave buoys are not deployed and instead only meteorological buoys measuring wind are moored. The technique employs alternative artificial intelligence approaches of an artificial neural network (ANN), genetic programming (GP) and model tree (MT) to carry out the time series modeling of wind to obtain waves. Wind observations at four offshore sites along the east coast of India were used. For calibration purpose the wave data was generated using a numerical model. The predicted waves obtained using the proposed time series models when compared with the numerically generated waves showed good resemblance in terms of the selected error criteria. Large differences across the chosen techniques of ANN, GP, MT were not noticed. Wave hindcasting at the same time step and the predictions over shorter lead times were better than the predictions over longer lead times. The proposed method is a cost effective and convenient option when a site-specific information is desired.
Tracing the decision-making process of physicians with a Decision Process Matrix.
Hausmann, Daniel; Zulian, Cristina; Battegay, Edouard; Zimmerli, Lukas
2016-10-18
Decision-making processes in a medical setting are complex, dynamic and under time pressure, often with serious consequences for a patient's condition. The principal aim of the present study was to trace and map the individual diagnostic process of real medical cases using a Decision Process Matrix [DPM]). The naturalistic decision-making process of 11 residents and a total of 55 medical cases were recorded in an emergency department, and a DPM was drawn up according to a semi-structured technique following four steps: 1) observing and recording relevant information throughout the entire diagnostic process, 2) assessing options in terms of suspected diagnoses, 3) drawing up an initial version of the DPM, and 4) verifying the DPM, while adding the confidence ratings. The DPM comprised an average of 3.2 suspected diagnoses and 7.9 information units (cues). The following three-phase pattern could be observed: option generation, option verification, and final diagnosis determination. Residents strove for the highest possible level of confidence before making the final diagnoses (in two-thirds of the medical cases with a rating of practically certain) or excluding suspected diagnoses (with practically impossible in half of the cases). The following challenges have to be addressed in the future: real-time capturing of emerging suspected diagnoses in the memory of the physician, definition of meaningful information units, and a more contemporary measurement of confidence. DPM is a useful tool for tracing real and individual diagnostic processes. The methodological approach with DPM allows further investigations into the underlying cognitive diagnostic processes on a theoretical level and improvement of individual clinical reasoning skills in practice.
Agreement Attraction and Impasse Aversion: Reasons for Selecting a Poor Deal Over No Deal at All.
Tuncel, Ece; Mislin, Alexandra; Kesebir, Selin; Pinkley, Robin L
2016-03-01
In the present studies, we examined the positive value of agreement and the negative value of impasse. Participants chose to give up real value and sacrifice economic efficiency in order to attain an agreement outcome and avoid an impasse outcome. A personally disadvantageous option was selected significantly more often when it was labeled "Agreement" rather than "Option A," and a personally advantageous option was avoided significantly more often when it was labeled "Impasse" rather than "Option B." In a face-to-face negotiation, a substantial proportion of individuals reached an agreement that was inferior to their best alternative to agreement. We showed that the appeal of agreement and the aversion to impasse both contribute to this effect, yet the aversion to impasse is the stronger of the two motivations. These findings have important implications for negotiators. © The Author(s) 2016.
Kiadaliri, Aliasghar A; Englund, Martin; Lohmander, L Stefan; Carlsson, Katarina Steen; Frobell, Richard B
2016-05-01
To analyse 5-year cost-effectiveness of early versus optional delayed acute anterior cruciate ligament (ACL) reconstruction. 121 young, active adults with acute ACL injury to a previously uninjured knee were randomised to early ACL reconstruction (n=62, within 10 weeks of injury) or optional delayed ACL reconstruction (n=59; 30 with ACL reconstruction within 6-55 months); all patients received similar structured rehabilitation. Real life data on health care utilisation and sick leave were obtained from regional and national registers. Costs and quality-adjusted life years (QALYs) were discounted at 3%. Full-analysis set (based on study randomisation) and as-treated analysis (according to actual treatment over 5 years) principles were applied. Mean cost of early ACL reconstruction was €4695 higher than optional delayed ACL reconstruction (p=0.19) and provided an additional 0.13 QALYs (p=0.11). Full-analysis set showed incremental net benefit of early versus optional delayed ACL reconstruction was not statistically significantly different from zero at any level. As-treated analysis showed that costs for rehabilitation alone were €13 650 less than early ACL reconstruction (p<0.001). Results were robust to sensitivity analyses. In young active adults with acute ACL injury, a strategy of early ACL reconstruction did not provide extra economic value over a strategy of optional delayed ACL reconstruction over a 5-year period. Results from this and previous reports of the KANON-trial imply that early identification of individuals who would benefit from either early ACL reconstruction or rehabilitation alone might reduce resource consumption and decrease risk of unnecessary overtreatment. ISRCTN84752559. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Real Time Coincidence Detection Engine for High Count Rate Timestamp Based PET
NASA Astrophysics Data System (ADS)
Tetrault, M.-A.; Oliver, J. F.; Bergeron, M.; Lecomte, R.; Fontaine, R.
2010-02-01
Coincidence engines follow two main implementation flows: timestamp based systems and AND-gate based systems. The latter have been more widespread in recent years because of its lower cost and high efficiency. However, they are highly dependent on the selected electronic components, they have limited flexibility once assembled and they are customized to fit a specific scanner's geometry. Timestamp based systems are gathering more attention lately, especially with high channel count fully digital systems. These new systems must however cope with important singles count rates. One option is to record every detected event and postpone coincidence detection offline. For daily use systems, a real time engine is preferable because it dramatically reduces data volume and hence image preprocessing time and raw data management. This paper presents the timestamp based coincidence engine for the LabPET¿, a small animal PET scanner with up to 4608 individual readout avalanche photodiode channels. The engine can handle up to 100 million single events per second and has extensive flexibility because it resides in programmable logic devices. It can be adapted for any detector geometry or channel count, can be ported to newer, faster programmable devices and can have extra modules added to take advantage of scanner-specific features. Finally, the user can select between full processing mode for imaging protocols and minimum processing mode to study different approaches for coincidence detection with offline software.
45 CFR 1306.32 - Center-based program option.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 45 Public Welfare 4 2010-10-01 2010-10-01 false Center-based program option. 1306.32 Section 1306... START PROGRAM HEAD START STAFFING REQUIREMENTS AND PROGRAM OPTIONS Head Start Program Options § 1306.32 Center-based program option. (a) Class size. (1) Head Start classes must be staffed by a teacher and an...
Doocy, K R; Nelson, D A; Saunders, A B
2017-06-01
Advanced imaging modalities are becoming more widely available in veterinary cardiology, including the use of transesophageal echocardiography (TEE) during occlusion of patent ductus arteriosus (PDA) in dogs. The dog in this report had a complex history of attempted ligation and a large PDA that initially precluded device placement thereby limiting the options for PDA closure. Following a second thoracotomy and partial ligation, the morphology of the PDA was altered and device occlusion was an option. Angiographic assessment of the PDA was limited by the presence of hemoclips, and the direction of ductal flow related to the change in anatomy following ligature placement. Intra-operative TEE, in particular real-time three-dimensional imaging, was pivotal for assessing the PDA morphology, monitoring during the procedure, selecting the device size, and confirming device placement. The TEE images increased operator confidence that the size and location of the device were appropriate before release despite the unusual position. This report highlights the benefit of intra-operative TEE, in particular real-time three-dimensional imaging, for successful PDA occlusion in a complicated case. Copyright © 2017 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Castro, María Eugenia; Díaz, Javier; Muñoz-Caro, Camelia; Niño, Alfonso
2011-09-01
We present a system of classes, SHMatrix, to deal in a unified way with the computation of eigenvalues and eigenvectors in real symmetric and Hermitian matrices. Thus, two descendant classes, one for the real symmetric and other for the Hermitian cases, override the abstract methods defined in a base class. The use of the inheritance relationship and polymorphism allows handling objects of any descendant class using a single reference of the base class. The system of classes is intended to be the core element of more sophisticated methods to deal with large eigenvalue problems, as those arising in the variational treatment of realistic quantum mechanical problems. The present system of classes allows computing a subset of all the possible eigenvalues and, optionally, the corresponding eigenvectors. Comparison with well established solutions for analogous eigenvalue problems, as those included in LAPACK, shows that the present solution is competitive against them. Program summaryProgram title: SHMatrix Catalogue identifier: AEHZ_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEHZ_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 2616 No. of bytes in distributed program, including test data, etc.: 127 312 Distribution format: tar.gz Programming language: Standard ANSI C++. Computer: PCs and workstations. Operating system: Linux, Windows. Classification: 4.8. Nature of problem: The treatment of problems involving eigensystems is a central topic in the quantum mechanical field. Here, the use of the variational approach leads to the computation of eigenvalues and eigenvectors of real symmetric and Hermitian Hamiltonian matrices. Realistic models with several degrees of freedom leads to large (sometimes very large) matrices. Different techniques, such as divide and conquer, can be used to factorize the matrices in order to apply a parallel computing approach. However, it is still interesting to have a core procedure able to tackle the computation of eigenvalues and eigenvectors once the matrix has been factorized to pieces of enough small size. Several available software packages, such as LAPACK, tackled this problem under the traditional imperative programming paradigm. In order to ease the modelling of complex quantum mechanical models it could be interesting to apply an object-oriented approach to the treatment of the eigenproblem. This approach offers the advantage of a single, uniform treatment for the real symmetric and Hermitian cases. Solution method: To reach the above goals, we have developed a system of classes: SHMatrix. SHMatrix is composed by an abstract base class and two descendant classes, one for real symmetric matrices and the other for the Hermitian case. The object-oriented characteristics of inheritance and polymorphism allows handling both cases using a single reference of the base class. The basic computing strategy applied in SHMatrix allows computing subsets of eigenvalues and (optionally) eigenvectors. The tests performed show that SHMatrix is competitive, and more efficient for large matrices, than the equivalent routines of the LAPACK package. Running time: The examples included in the distribution take only a couple of seconds to run.
NASA Astrophysics Data System (ADS)
Lin, Sheng-Hau; Li, Jia-Hsun; Hsu, Chih-Chen; Hsieh, Jing-Chzi; Liao, Pin-Chao
2018-04-01
This study utilizes consolidation investment theory to incorporate with business strategies and government subsidy to develop a strategic exercise of options model. This empirical investigation examines the ground source heat pump (GSHP) government subsidy program, which is part of China’s 12th Five Year Plan. The developed model is applied to explain the behaviours of business investment with regard to strategic investment timing, option values, and the influence of government subsidies in duopolistic real-world investment decisions. The results indicate that subsidy policy can reduce the differences of investment timing among GSHP investors and has clearly evidenced the positive benefit–cost ratio of government subsidy, which facilitates China’s GSHP industry development.
Leung, Lucullus H.T.; Yu, Peter K.N.
2013-01-01
A new version of progressive resolution optimizer (PRO) with an option of air cavity correction has been implemented for RapidArc volumetric‐modulated arc therapy (RA). The purpose of this study was to compare the performance of this new PRO with the use of air cavity correction option (PRO10_air) against the one without the use of the air cavity correction option (PRO10_no‐air) for RapidArc planning in targets with low‐density media of different sizes and complexities. The performance of PRO10_no‐air and PRO10_air was initially compared using single‐arc plans created for four different simple heterogeneous phantoms with virtual targets and organs at risk. Multiple‐arc planning of 12 real patients having nasopharyngeal carcinomas (NPC) and ten patients having non‐small cell lung cancer (NSCLC) were then performed using the above two options for further comparison. Dose calculations were performed using both the Acuros XB (AXB) algorithm with the dose to medium option and the analytical anisotropic algorithm (AAA). The effect of using intermediate dose option after the first optimization cycle in PRO10_air and PRO10_no‐air was also investigated and compared. Plans were evaluated and compared using target dose coverage, critical organ sparing, conformity index, and dose homogeneity index. For NSCLC cases or cases for which large volumes of low‐density media were present in or adjacent to the target volume, the use of the air cavity correction option in PROIO was shown to be beneficial. For NPC cases or cases for which small volumes of both low‐ and high‐density media existed in the target volume, the use of air cavity correction in PRO10 did not improve the plan quality. Based on the AXB dose calculation results, the use of PRO10_air could produce up to 18% less coverage to the bony structures of the planning target volumes for NPC cases. When the intermediate dose option in PRO10 was used, there was negligible difference observed in plan quality between optimizations with and without using the air cavity correction option. PACS number: 87.55.D‐, 87.55.de, 87.56.N‐
For the last time: stock options are an expense.
Bodie, Zvi; Kaplan, Robert S; Merton, Robert C
2003-03-01
Should stock options be recorded as an expense on a company's income statement and balance sheet, or should they remain where they are, relegated to footnotes? The extraordinary boom in share prices during the Internet bubble made critics of option expensing look like spoilsports. But since the crash, the debate has returned with a vengeance. And no wonder: The authors believe the case for expensing options is overwhelming. In this article, Nobel Iaureate Robert Merton, one of the inventors of the Black-Scholes option-pricing model; his coauthor on the classic textbook Finance, Zvi Bodie; and Robert Kaplan, creator of the Balanced Scorecard, examine and dismiss the principal claims put forward by those who continue to oppose options expensing. They demonstrate that stock-option grants do indeed have real cash-flow implications that need to be reported. They show that effective ways certainly exist to quantify those implications. They detail the distortions that relegating stock-option accounting to footnotes creates. And they show why reporting option costs should in no way hamper young companies in their efforts to provide incentives. Options are indeed a powerful incentive, the authors agree, and failing to record a transaction that creates such powerful effects is economically indefensible. Worse, it encourages companies to favor options over alternative incentive systems. It is not the proper role of accounting standards, the authors argue, to distort executive and employee compensation by subsidizing one particular form of compensation and no other. Companies should choose compensation methods according to their economic benefits--not the way they are reported.
The cervical spine in maxillofacial trauma. Assessment and airway management.
Kellman, R
1991-02-01
Although the presence of a real or potential cervical spine injury limits the options for emergency airway management, many choices still remain. The otolaryngologist-head and neck surgeon frequently is called on to treat patients with airway emergencies; therefore, familiarity with the risk of spinal cord damage and methods to avoid it when establishing a safe airway constitute important knowledge. Experience with the variety of airway techniques available increases the number of options and decreases the risks of morbidity and mortality for the patient with cervical spine injury.
Leasing vs. owning a medical office: an analytical model.
Tolbert, Samuel H; Wood, Carol P
2007-01-01
Physicians often face a major financial dilemma: To lease or own their medical office. This article takes a set of typical assumptions for a real estate market and analyzes the capital costs, cash flow, and investment implications of the option of leasing a medical office versus owning a similar property. The paper analyzes the financial aspects of each option and the impact on net physician income and potential return-on-investment. A model for analysis is presented that can be used by practitioners who advise physicians in such decision-making.
Real Time Maintenance Approval and Required IMMT Coordination
NASA Technical Reports Server (NTRS)
Burchell, S.
2016-01-01
Payloads are assessed for nominal operations. Payload Developers have the option of performing a maintenance hazard assessment (MHA) for potential maintenance activities. When POIC (Payload Operations and Integration Center) Safety reviews an OCR calling for a maintenance procedure, we cannot approve it without a MHA. If no MHA exists, we contact MER (Mission Evaluation Room) Safety. Depending on the nature of the problem, MER Safety has the option to: Analyze and grant approval themselves; Direct the payload back to the ISRP (Integrated Safety Review Panel); Direct the payload to the IMMT (Increment Mission Management Team).
Recent Foreign Language Education Policies in Palestine.
ERIC Educational Resources Information Center
Amara, Muhammad Hasan
2003-01-01
Investigates the development of foreign language education policies in Palestine at a time when the establishment of a Palestinian state has become a real option, and when, following the Oslo agreements, the Palestinians have become responsible for Palestinian education. (Author/VWL)
[Registration technology for mandibular angle osteotomy based on augmented reality].
Zhu, Ming; Chai, Gang; Zhang, Yan; Ma, Xiao-Fei; Yu, Zhe-Yuan; Zhu, Yi-Jia
2010-12-01
To establish an effective path to register the operative plan to the real model of mandible made by rapid prototyping (RP) technology. Computerize tomography (CT) was performed on 20 patients to create 3D images, and computer aided operation planning information can be merged with the 3D images. Then dental cast was used to fix the signal which can be recognized by the software. The dental cast was transformed to 3D data with a laser scanner and a programmer that run on a personal computer named Rapidform matching the dental cast and the mandible image to generate the virtual image. Then the registration was achieved by video monitoring system. By using this technology, the virtual image of mandible and the cutting planes both can overlay the real model of mandible made by RP. This study found an effective way for registration by using dental cast, and this way might be a powerful option for the registration of augmented reality. Supported by Program for Innovation Research Team of Shanghai Municipal Education Commission.
NASA Technical Reports Server (NTRS)
Mccarty, John E.
1991-01-01
While it sounded great to be asked to talk about composites, I found it difficult to select subject areas that would be of real interest. My choice is based on saying some things about where the maturity of the composite aircraft structures is today and what that means in terms of future criteria for application. This focus was the basis for my title selection. The other issue that will be addressed was requested by NASA and focuses on composites structures cost. This fits well with the state-of-the-art interpretations I will discuss first, since the cost issue must be viewed from both the current status and future points of view. The difficulty in presenting something in these areas is not in the subjects themselves but in trying to present a real world viewpoint to an audience of composite experts. So, with recognition of the expertise of the audience, I hope you will see something in this presentation about how to view composite aircraft structure.
Baygin, Mehmet; Karakose, Mehmet
2013-01-01
Nowadays, the increasing use of group elevator control systems owing to increasing building heights makes the development of high-performance algorithms necessary in terms of time and energy saving. Although there are many studies in the literature about this topic, they are still not effective enough because they are not able to evaluate all features of system. In this paper, a new approach of immune system-based optimal estimate is studied for dynamic control of group elevator systems. The method is mainly based on estimation of optimal way by optimizing all calls with genetic, immune system and DNA computing algorithms, and it is evaluated with a fuzzy system. The system has a dynamic feature in terms of the situation of calls and the option of the most appropriate algorithm, and it also adaptively works in terms of parameters such as the number of floors and cabins. This new approach which provides both time and energy saving was carried out in real time. The experimental results comparatively demonstrate the effects of method. With dynamic and adaptive control approach in this study carried out, a significant progress on group elevator control systems has been achieved in terms of time and energy efficiency according to traditional methods. PMID:23935433
Lott, Gus K; Johnson, Bruce R; Bonow, Robert H; Land, Bruce R; Hoy, Ronald R
2009-01-01
We present g-PRIME, a software based tool for physiology data acquisition, analysis, and stimulus generation in education and research. This software was developed in an undergraduate neurophysiology course and strongly influenced by instructor and student feedback. g-PRIME is a free, stand-alone, windows application coded and "compiled" in Matlab (does not require a Matlab license). g-PRIME supports many data acquisition interfaces from the PC sound card to expensive high throughput calibrated equipment. The program is designed as a software oscilloscope with standard trigger modes, multi-channel visualization controls, and data logging features. Extensive analysis options allow real time and offline filtering of signals, multi-parameter threshold-and-window based event detection, and two-dimensional display of a variety of parameters including event time, energy density, maximum FFT frequency component, max/min amplitudes, and inter-event rate and intervals. The software also correlates detected events with another simultaneously acquired source (event triggered average) in real time or offline. g-PRIME supports parameter histogram production and a variety of elegant publication quality graphics outputs. A major goal of this software is to merge powerful engineering acquisition and analysis tools with a biological approach to studies of nervous system function.
The improved business valuation model for RFID company based on the community mining method.
Li, Shugang; Yu, Zhaoxu
2017-01-01
Nowadays, the appetite for the investment and mergers and acquisitions (M&A) activity in RFID companies is growing rapidly. Although the huge number of papers have addressed the topic of business valuation models based on statistical methods or neural network methods, only a few are dedicated to constructing a general framework for business valuation that improves the performance with network graph (NG) and the corresponding community mining (CM) method. In this study, an NG based business valuation model is proposed, where real options approach (ROA) integrating CM method is designed to predict the company's net profit as well as estimate the company value. Three improvements are made in the proposed valuation model: Firstly, our model figures out the credibility of the node belonging to each community and clusters the network according to the evolutionary Bayesian method. Secondly, the improved bacterial foraging optimization algorithm (IBFOA) is adopted to calculate the optimized Bayesian posterior probability function. Finally, in IBFOA, bi-objective method is used to assess the accuracy of prediction, and these two objectives are combined into one objective function using a new Pareto boundary method. The proposed method returns lower forecasting error than 10 well-known forecasting models on 3 different time interval valuing tasks for the real-life simulation of RFID companies.
The improved business valuation model for RFID company based on the community mining method
Li, Shugang; Yu, Zhaoxu
2017-01-01
Nowadays, the appetite for the investment and mergers and acquisitions (M&A) activity in RFID companies is growing rapidly. Although the huge number of papers have addressed the topic of business valuation models based on statistical methods or neural network methods, only a few are dedicated to constructing a general framework for business valuation that improves the performance with network graph (NG) and the corresponding community mining (CM) method. In this study, an NG based business valuation model is proposed, where real options approach (ROA) integrating CM method is designed to predict the company’s net profit as well as estimate the company value. Three improvements are made in the proposed valuation model: Firstly, our model figures out the credibility of the node belonging to each community and clusters the network according to the evolutionary Bayesian method. Secondly, the improved bacterial foraging optimization algorithm (IBFOA) is adopted to calculate the optimized Bayesian posterior probability function. Finally, in IBFOA, bi-objective method is used to assess the accuracy of prediction, and these two objectives are combined into one objective function using a new Pareto boundary method. The proposed method returns lower forecasting error than 10 well-known forecasting models on 3 different time interval valuing tasks for the real-life simulation of RFID companies. PMID:28459815
Krychman, Michael; Graham, Shelli; Bernick, Brian; Mirkin, Sebastian; Kingsberg, Sheryl A
2017-03-01
Postmenopausal women's knowledge about vulvar and vaginal atrophy (VVA) and available treatment options has historically been inadequate. Recent direct-to-consumer marketing and educational efforts would have been expected to increase awareness and treatment options. To compare results of the Women's EMPOWER survey with other available VVA surveys to assess progress in women's understanding and approaches to treatment of VVA. The Women's EMPOWER survey, an internet-based survey of US women with VVA symptoms, assessed women's awareness of VVA and their behaviors and attitudes associated with symptom treatment. These survey results were compared with previously published results of the Revealing Vaginal Effects at Mid-Life (REVEAL), Women's Voices in Menopause (WVM), Vaginal Health: Insight, Views, & Attitudes (VIVA), Clarifying Vaginal Atrophy's Impact on Sex and Relationship (CLOSER), and Real Women's Views of Treatment Options for Menopausal Vaginal Changes (REVIVE) surveys. Results of the Women's EMPOWER survey were consistent with those of past VVA surveys and showed that postmenopausal women generally failed to recognize VVA and its chronic, progressive process and that they were reluctant to discuss vaginal or sexual symptoms with their health care professionals (HCPs). However, women indicated a strong desire for accurate medical information about VVA from their health care professionals and a willingness to learn if HCPs would initiate the conversation. Most women believed that vaginal symptoms are a normal part of aging and they just need to cope with the symptoms. In the United States, women were most concerned with safety-related issues, including increased risk of breast cancer, side effects, and systemic absorption. The Women's EMPOWER survey demonstrates and reinforces that even with multimedia marketing and educational strategies in the years after other major VVA surveys, minimal progress has been made toward increasing women's awareness of, knowledge about, or understanding of VVA. Based on these data, a focus on initiating discussions and education with postmenopausal women so that they better comprehend VVA as a chronic progressive medical condition (not just aging), the symptoms associated with VVA, and the benefit-risk profile regarding treatment options is warranted. Krychman M, Graham S, Bernick B, et al. The Women's EMPOWER Survey: Women's Knowledge and Awareness of Treatment Options for Vulvar and Vaginal Atrophy Remains Inadequate. J Sex Med 2017;14:425-433. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
NASA Technical Reports Server (NTRS)
Moseley, E. C.
1974-01-01
The Medical Information Computer System (MEDICS) is a time shared, disk oriented minicomputer system capable of meeting storage and retrieval needs for the space- or non-space-related applications of at least 16 simultaneous users. At the various commercially available low cost terminals, the simple command and control mechanism and the generalized communication activity of the system permit multiple form inputs, real-time updating, and instantaneous retrieval capability with a full range of options.
Hu, Delphine; Grossman, Daniel; Levin, Carol; Blanchard, Kelly; Adanu, Richard; Goldie, Sue J
2010-06-01
To explore the policy implications of increasing access to safe abortion in Nigeria and Ghana, we developed a computer-based decision analytic model which simulates induced abortion and its potential complications in a cohort of women, and comparatively assessed the cost-effectiveness of unsafe abortion and three first-trimester abortion modalities: hospital-based dilatation and curettage, hospital- and clinic-based manual vacuum aspiration (MVA), and medical abortion using misoprostol (MA). Assuming all modalities are equally available, clinic-based MVA is the most cost-effective option in Nigeria. If clinic-based MVA is not available, MA is the next best strategy. Conversely, in Ghana, MA is the most cost-effective strategy, followed by clinic-based MVA if MA is not available. From a real world policy perspective, increasing access to safe abortion in favor over unsafe abortion is the single most important factor in saving lives and societal costs, and is more influential than the actual choice of safe abortion modality.
Apathy in schizophrenia as a deficit in the generation of options for action.
Hartmann, Matthias N; Kluge, Agne; Kalis, Annemarie; Mojzisch, Andreas; Tobler, Philippe N; Kaiser, Stefan
2015-05-01
Negative symptoms are a core feature of schizophrenia and have been grouped into 2 factors: a motivational factor, which we refer to as apathy, and a diminished expression factor. Recent studies have shown that apathy is closely linked to functional outcome. However, knowledge about its mechanisms and its relation to decision-making is limited. In the current study, we examined whether apathy in schizophrenia is associated with predecisional deficits, that is, deficits in the generation of options for action. We applied verbal protocol analysis to investigate the quantity of options generated in ill-structured real world scenarios in 30 patients with schizophrenia or schizoaffective disorder and 21 healthy control participants. Patients generated significantly fewer options than control participants and clinical apathy ratings correlated negatively with the quantity of generated options. We show that the association between measures of psychopathology and option generation is most pronounced in regard to apathy symptoms and that it is only partially mediated by deficits in verbal fluency. This study provides empirical support for dysfunctional option generation as a possible mechanism for apathy in schizophrenia. Our data emphasize the potential importance of predecisional stages in the development and persistence of apathy symptoms in neuropsychiatric disorders and might also inform the development of novel treatment options in the realm of cognitive remediation. (c) 2015 APA, all rights reserved).
Darvishi Cheshmeh Soltani, Reza; Safari, Mahdi
2016-09-01
The improvement of sonocatalytic treatment of real textile wastewater in the presence of MgO nanoparticles was the main goal of the present study. According to our preliminary results, the application of pulse mode of sonication, together with the addition of periodate ions, produced the greatest sonocatalytic activity and consequently, the highest chemical oxygen demand (COD) removal efficiency (73.95%) among all the assessed options. In the following, pulsed sonocatalysis of real textile wastewater in the presence of periodate ions was evaluated response surface methodologically on the basis of central composite design. Accordingly, a high correlation coefficient of 0.95 was attained for the applied statistical strategy to optimize the process. As results, a pulsed sonication time of 141min, MgO dosage of 2.4g/L, solution temperature of 314K and periodate concentration of 0.11M gave the maximum COD removal of about 85%. Under aforementioned operational conditions, the removal of total organic carbon (TOC) was obtained to be 63.34% with the reaction rate constant of 7.1×10(-3)min(-1) based on the pseudo-first order kinetic model (R(2)=0.99). Overall, periodate-assisted pulsed sonocatalysis over MgO nanoparticles can be applied as an efficient alternative process for treating and mineralizing real textile wastewater with good reusability potential. Copyright © 2016 Elsevier B.V. All rights reserved.
Rainfall-Runoff Parameters Uncertainity
NASA Astrophysics Data System (ADS)
Heidari, A.; Saghafian, B.; Maknoon, R.
2003-04-01
Karkheh river basin, located in southwest of Iran, drains an area of over 40000 km2 and is considered a flood active basin. A flood forecasting system is under development for the basin, which consists of a rainfall-runoff model, a river routing model, a reservior simulation model, and a real time data gathering and processing module. SCS, Clark synthetic unit hydrograph, and Modclark methods are the main subbasin rainfall-runoff transformation options included in the rainfall-runoff model. Infiltration schemes, such as exponentioal and SCS-CN methods, account for infiltration losses. Simulation of snow melt is based on degree day approach. River flood routing is performed by FLDWAV model based on one-dimensional full dynamic equation. Calibration and validation of the rainfall-runoff model on Karkheh subbasins are ongoing while the river routing model awaits cross section surveys.Real time hydrometeological data are collected by a telemetry network. The telemetry network is equipped with automatic sensors and INMARSAT-C comunication system. A geographic information system (GIS) stores and manages the spatial data while a database holds the hydroclimatological historical and updated time series. Rainfall runoff parameters uncertainty is analyzed by Monte Carlo and GLUE approaches.
Mouse-tracking evidence for parallel anticipatory option evaluation.
Cranford, Edward A; Moss, Jarrod
2017-12-23
In fast-paced, dynamic tasks, the ability to anticipate the future outcome of a sequence of events is crucial to quickly selecting an appropriate course of action among multiple alternative options. There are two classes of theories that describe how anticipation occurs. Serial theories assume options are generated and evaluated one at a time, in order of quality, whereas parallel theories assume simultaneous generation and evaluation. The present research examined the option evaluation process during a task designed to be analogous to prior anticipation tasks, but within the domain of narrative text comprehension. Prior research has relied on indirect, off-line measurement of the option evaluation process during anticipation tasks. Because the movement of the hand can provide a window into underlying cognitive processes, online metrics such as continuous mouse tracking provide more fine-grained measurements of cognitive processing as it occurs in real time. In this study, participants listened to three-sentence stories and predicted the protagonists' final action by moving a mouse toward one of three possible options. Each story was presented with either one (control condition) or two (distractor condition) plausible ending options. Results seem most consistent with a parallel option evaluation process because initial mouse trajectories deviated further from the best option in the distractor condition compared to the control condition. It is difficult to completely rule out all possible serial processing accounts, although the results do place constraints on the time frame in which a serial processing explanation must operate.
DOT National Transportation Integrated Search
2011-01-01
A funding crisis exists for financing much needed transportation infrastructure projects across the nation and : Texas is no exception. Texas has responded to the crisis by passing several bills allowing innovative : financing and alternative options...
Rawstorn, Jonathan C; Gant, Nicholas; Meads, Andrew; Warren, Ian; Maddison, Ralph
2016-06-24
Participation in traditional center-based cardiac rehabilitation exercise programs (exCR) is limited by accessibility barriers. Mobile health (mHealth) technologies can overcome these barriers while preserving critical attributes of center-based exCR monitoring and coaching, but these opportunities have not yet been capitalized on. We aimed to design and develop an evidence- and theory-based mHealth platform for remote delivery of exCR to any geographical location. An iterative process was used to design and develop an evidence- and theory-based mHealth platform (REMOTE-CR) that provides real-time remote exercise monitoring and coaching, behavior change education, and social support. The REMOTE-CR platform comprises a commercially available smartphone and wearable sensor, custom smartphone and Web-based applications (apps), and a custom middleware. The platform allows exCR specialists to monitor patients' exercise and provide individualized coaching in real-time, from almost any location, and provide behavior change education and social support. Intervention content incorporates Social Cognitive Theory, Self-determination Theory, and a taxonomy of behavior change techniques. Exercise components are based on guidelines for clinical exercise prescription. The REMOTE-CR platform extends the capabilities of previous telehealth exCR platforms and narrows the gap between existing center- and home-based exCR services. REMOTE-CR can complement center-based exCR by providing an alternative option for patients whose needs are not being met. Remotely monitored exCR may be more cost-effective than establishing additional center-based programs. The effectiveness and acceptability of REMOTE-CR are now being evaluated in a noninferiority randomized controlled trial.
Regan, Courtney M; Connor, Jeffery D; Raja Segaran, Ramesh; Meyer, Wayne S; Bryan, Brett A; Ostendorf, Bertram
2017-05-01
The economics of establishing perennial species as renewable energy feedstocks has been widely investigated as a climate change adapted diversification option for landholders, primarily using net present value (NPV) analysis. NPV does not account for key uncertainties likely to influence relevant landholder decision making. While real options analysis (ROA) is an alternative method that accounts for the uncertainty over future conditions and the large upfront irreversible investment involved in establishing perennials, there have been limited applications of ROA to evaluating land use change decision economics and even fewer applications considering climate change risks. Further, while the influence of spatially varying climate risk on biomass conversion economic has been widely evaluated using NPV methods, effects of spatial variability and climate on land use change have been scarcely assessed with ROA. In this study we applied a simulation-based ROA model to evaluate a landholder's decision to convert land from agriculture to biomass. This spatially explicit model considers price and yield risks under baseline climate and two climate change scenarios over a geographically diverse farming region. We found that underlying variability in primary productivity across the study area had a substantial effect on conversion thresholds required to trigger land use change when compared to results from NPV analysis. Areas traditionally thought of as being quite similar in average productive capacity can display large differences in response to the inclusion of production and price risks. The effects of climate change, broadly reduced returns required for land use change to biomass in low and medium rainfall zones and increased them in higher rainfall areas. Additionally, the risks posed by climate change can further exacerbate the tendency for NPV methods to underestimate true conversion thresholds. Our results show that even under severe drying and warming where crop yield variability is more affected than perennial biomass plantings, comparatively little of the study area is economically viable for conversion to biomass under $200/DM t, and it is not until prices exceed $200/DM t that significant areas become profitable for biomass plantings. We conclude that for biomass to become a valuable diversification option the synchronisation of products and services derived from biomass and the development of markets is vital. Copyright © 2017 Elsevier Ltd. All rights reserved.
Lin, Dongyun; Sun, Lei; Toh, Kar-Ann; Zhang, Jing Bo; Lin, Zhiping
2018-05-01
Automated biomedical image classification could confront the challenges of high level noise, image blur, illumination variation and complicated geometric correspondence among various categorical biomedical patterns in practice. To handle these challenges, we propose a cascade method consisting of two stages for biomedical image classification. At stage 1, we propose a confidence score based classification rule with a reject option for a preliminary decision using the support vector machine (SVM). The testing images going through stage 1 are separated into two groups based on their confidence scores. Those testing images with sufficiently high confidence scores are classified at stage 1 while the others with low confidence scores are rejected and fed to stage 2. At stage 2, the rejected images from stage 1 are first processed by a subspace analysis technique called eigenfeature regularization and extraction (ERE), and then classified by another SVM trained in the transformed subspace learned by ERE. At both stages, images are represented based on two types of local features, i.e., SIFT and SURF, respectively. They are encoded using various bag-of-words (BoW) models to handle biomedical patterns with and without geometric correspondence, respectively. Extensive experiments are implemented to evaluate the proposed method on three benchmark real-world biomedical image datasets. The proposed method significantly outperforms several competing state-of-the-art methods in terms of classification accuracy. Copyright © 2018 Elsevier Ltd. All rights reserved.
NASA Technical Reports Server (NTRS)
Dias, William S.; Matijevic, Jacob R.; Venkataraman, Subramani T.; Smith, Jeffrey H.; Lindemann, Randel A.; Levin, Richard R.
1992-01-01
This paper provides an initial trade-off study among several lunar construction options available to the Space Exploration Initiative. The relative time effectiveness of Extra-Vehicular Activity (EVA), Intra-Vehicular Activity (IVA), and Earth-based remote control assembly and construction methods are studied. Also considered is whether there is any construction time savings to building roads in advance, or surveying the construction sites with orbiters or rovers in advance. The study was conducted by adding detail to a potentially real scenario - a nuclear power plant - and applying time multipliers for the various control options and terrain alternatives, provided by roboticists among the authors. The authors conclude that IVA is a faster construction method than either EVA or construction conducted remotely from Earth. Surveying proposed sites in advance, with orbiters and rovers, provides a significant time savings through adding to certainty, and therefore may be cost effective. Developing a heavy-lift launch capability and minimizing assembly and construction processes by landing large payloads is probably worthwhile to the degree possible, as construction activities would use a large amount of surface operations time.
A microcomputer based traffic evacuation modeling system for emergency planning application
DOE Office of Scientific and Technical Information (OSTI.GOV)
Rathi, A.K.
1995-12-31
The US Army stockpiles unitary chemical weapons, both as bulk chemicals and as munitions, at eight major sites in the United States. The continued storage and disposal of the chemical stockpile has the potential for accidental releases of toxic gases that could escape the installation boundaries and pose a threat to the civilian population in the vicinity. Vehicular evacuation is one of the major and often preferred protective action options available for emergency management in a real or anticipated disaster. Computer simulation models of evacuation traffic flow are used to estimate the time required for the affected populations to evacuatemore » to safer areas, to evaluate effectiveness of vehicular evacuations as a protective action option, and to develop comprehensive evacuation plans when required. Following a review of the past efforts to simulate traffic flow during emergency evacuations, an overview of the key features in Version 2.0 of the Oak Ridge Evacuation Modeling System (OREMS) are presented in this paper. OREMS is a microcomputer-based model developed to simulate traffic flow during regional emergency evacuations. OREMS integrates a state-of-the-art dynamic traffic flow and simulation model with advanced data editing and output display programs operating under a MS-Windows environment.« less
Escobar-Chaves, Soledad Liliana; Shegog, Ross; Moscoso-Alvarez, Margarita R; Markham, Christine; Tortolero-Luna, Guillermo; Peskin, Melissa; Tortolero, Susan
2011-08-01
To assess the need for cultural tailoring of an effective sexual health middle school curriculum, "It's Your Game: Keep It Real" (IYG), prior to implementation in Puerto Rican (PR) middle schools. Seventy-three seventh-grade bilingual students participated in IYG curriculum activities (both group-based and computer-based) in two 2-hour testing sessions in spring 2008. Rating scales of acceptability, understandability, credibility, ease of use, and motivational appeal and qualitative feedback via open-ended responses and group process provided insight into needed surface and deep structure cultural tailoring. Students rated IYG highly on cultural tailoring and motivational parameters and were highly engaged by the lesson content. School personnel rated IYG as a feasible strategy for use in PR middle schools. While surface cultural elements (eg, characters, attire, body language) were identified as important foci for adaptation, content related to deeper cultural elements such as core behaviors, risky situations, attitudes, and specific skills were considered as relevant to PR youth as to their US counterparts. Effective human immunodeficiency virus, sexually transmitted disease, and pregnancy skills training prevention programs such as IYG that are developed for minority US youth may offer a feasible option for international implementation when extensive cultural adaptation is not a viable option. © 2011, American School Health Association.
Correlated continuous time random walk and option pricing
NASA Astrophysics Data System (ADS)
Lv, Longjin; Xiao, Jianbin; Fan, Liangzhong; Ren, Fuyao
2016-04-01
In this paper, we study a correlated continuous time random walk (CCTRW) with averaged waiting time, whose probability density function (PDF) is proved to follow stretched Gaussian distribution. Then, we apply this process into option pricing problem. Supposing the price of the underlying is driven by this CCTRW, we find this model captures the subdiffusive characteristic of financial markets. By using the mean self-financing hedging strategy, we obtain the closed-form pricing formulas for a European option with and without transaction costs, respectively. At last, comparing the obtained model with the classical Black-Scholes model, we find the price obtained in this paper is higher than that obtained from the Black-Scholes model. A empirical analysis is also introduced to confirm the obtained results can fit the real data well.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zoberi, J.
Brachytherapy has proven to be an effective treatment option for prostate cancer. Initially, prostate brachytherapy was delivered through permanently implanted low dose rate (LDR) radioactive sources; however, high dose rate (HDR) temporary brachytherapy for prostate cancer is gaining popularity. Needle insertion during prostate brachytherapy is most commonly performed under ultrasound (U/S) guidance; however, treatment planning may be performed utilizing several imaging modalities either in an intra- or post-operative setting. During intra-operative prostate HDR, the needles are imaged during implantation, and planning may be performed in real time. At present, the most common imaging modality utilized for intra-operative prostate HDR ismore » U/S. Alternatively, in the post-operative setting, following needle implantation, patients may be simulated with computed tomography (CT) or magnetic resonance imaging (MRI). Each imaging modality and workflow provides its share of benefits and limitations. Prostate HDR has been adopted in a number of cancer centers across the nation. In this educational session, we will explore the role of U/S, CT, and MRI in HDR prostate brachytherapy. Example workflows and operational details will be shared, and we will discuss how to establish a prostate HDR program in a clinical setting. Learning Objectives: Review prostate HDR techniques based on the imaging modality Discuss the challenges and pitfalls introduced by the three imagebased options for prostate HDR brachytherapy Review the QA process and learn about the development of clinical workflows for these imaging options at different institutions.« less
Zhou, Hui; Ji, Ning; Samuel, Oluwarotimi Williams; Cao, Yafei; Zhao, Zheyi; Chen, Shixiong; Li, Guanglin
2016-10-01
Real-time detection of gait events can be applied as a reliable input to control drop foot correction devices and lower-limb prostheses. Among the different sensors used to acquire the signals associated with walking for gait event detection, the accelerometer is considered as a preferable sensor due to its convenience of use, small size, low cost, reliability, and low power consumption. Based on the acceleration signals, different algorithms have been proposed to detect toe off (TO) and heel strike (HS) gait events in previous studies. While these algorithms could achieve a relatively reasonable performance in gait event detection, they suffer from limitations such as poor real-time performance and are less reliable in the cases of up stair and down stair terrains. In this study, a new algorithm is proposed to detect the gait events on three walking terrains in real-time based on the analysis of acceleration jerk signals with a time-frequency method to obtain gait parameters, and then the determination of the peaks of jerk signals using peak heuristics. The performance of the newly proposed algorithm was evaluated with eight healthy subjects when they were walking on level ground, up stairs, and down stairs. Our experimental results showed that the mean F1 scores of the proposed algorithm were above 0.98 for HS event detection and 0.95 for TO event detection on the three terrains. This indicates that the current algorithm would be robust and accurate for gait event detection on different terrains. Findings from the current study suggest that the proposed method may be a preferable option in some applications such as drop foot correction devices and leg prostheses.
Zhou, Hui; Ji, Ning; Samuel, Oluwarotimi Williams; Cao, Yafei; Zhao, Zheyi; Chen, Shixiong; Li, Guanglin
2016-01-01
Real-time detection of gait events can be applied as a reliable input to control drop foot correction devices and lower-limb prostheses. Among the different sensors used to acquire the signals associated with walking for gait event detection, the accelerometer is considered as a preferable sensor due to its convenience of use, small size, low cost, reliability, and low power consumption. Based on the acceleration signals, different algorithms have been proposed to detect toe off (TO) and heel strike (HS) gait events in previous studies. While these algorithms could achieve a relatively reasonable performance in gait event detection, they suffer from limitations such as poor real-time performance and are less reliable in the cases of up stair and down stair terrains. In this study, a new algorithm is proposed to detect the gait events on three walking terrains in real-time based on the analysis of acceleration jerk signals with a time-frequency method to obtain gait parameters, and then the determination of the peaks of jerk signals using peak heuristics. The performance of the newly proposed algorithm was evaluated with eight healthy subjects when they were walking on level ground, up stairs, and down stairs. Our experimental results showed that the mean F1 scores of the proposed algorithm were above 0.98 for HS event detection and 0.95 for TO event detection on the three terrains. This indicates that the current algorithm would be robust and accurate for gait event detection on different terrains. Findings from the current study suggest that the proposed method may be a preferable option in some applications such as drop foot correction devices and leg prostheses. PMID:27706086
Visible CWDM system design for Multi-Gbit/s transmission over SI-POF
NASA Astrophysics Data System (ADS)
Vázquez, Carmen; Pinzón, Plinio Jesús; Pérez, Isabel
2015-01-01
In order to increase the data rates of Multi-Gbit/s links based on large core step index (SI) plastic optical fibers (POF), different modulation scenes have been proposed. Another option is to use multiple optical carriers for parallel transmission of communication channels over the same fiber. Some designs to reach data rates of 14.77 Gb/s in 50 m, with 4 channels have been developed by off line processing. In this work, designs to test the potential of real Multi- Gbit/s transmission systems using commercial products are reported. Special care in designing low insertion loss multiplexers and demultiplexers is carried out to allow for greener solutions in terms of power consumption.
NASA Astrophysics Data System (ADS)
Greuter, U.; Buehler, C.; Rasmussen, P.; Emmenegger, M.; Maden, D.; Koennecke, M.; Schlumpf, N.
We present the basic concept and the realization of our fully configurable data-acquisition hardware for the neutron scattering instruments at SINQ. This system allows collection of the different data entities and event-related signals generated by the various detector units. It offers a variety of synchronization options, including a time-measuring mode for time-of-flight determinations. Based on configurable logic (FPGA, CPLD), event rates up to the MHz range can be processed and transmitted to a programmable online data-reduction system (Histogram Memory). It is implemented on a commercially available VME Power PC module running a real-time operating system (VxWorks).
NASA Technical Reports Server (NTRS)
Gregg, Hugh; Healey, Kathleen; Hack, Edmund; Wong, Carla
1987-01-01
Expert systems that require access to data bases, complex simulations and real time instrumentation have both symbolic as well as algorithmic computing needs. These needs could both be met using a general computing workstation running both symbolic and algorithmic code, or separate, specialized computers networked together. The later approach was chosen to implement TEXSYS, the thermal expert system, developed to demonstrate the ability of an expert system to autonomously control the thermal control system of the space station. TEXSYS has been implemented on a Symbolics workstation, and will be linked to a microVAX computer that will control a thermal test bed. Integration options are explored and several possible solutions are presented.
Geo-Engineering through Internet Informatics (GEMINI)
DOE Office of Scientific and Technical Information (OSTI.GOV)
Watney, W. Lynn; Doveton, John H.; Victorine, John R.
GEMINI will resolve reservoir parameters that control well performance; characterize subtle reservoir properties important in understanding and modeling hydrocarbon pore volume and fluid flow; expedite recognition of bypassed, subtle, and complex oil and gas reservoirs at regional and local scale; differentiate commingled reservoirs; build integrated geologic and engineering model based on real-time, iterate solutions to evaluate reservoir management options for improved recovery; provide practical tools to assist the geoscientist, engineer, and petroleum operator in making their tasks more efficient and effective; enable evaluations to be made at different scales, ranging from individual well, through lease, field, to play and regionmore » (scalable information infrastructure); and provide training and technology transfer to evaluate capabilities of the client.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Shin, Dongwan; Claycomb, William R.; Urias, Vincent E.
Cloud computing is a paradigm rapidly being embraced by government and industry as a solution for cost-savings, scalability, and collaboration. While a multitude of applications and services are available commercially for cloud-based solutions, research in this area has yet to fully embrace the full spectrum of potential challenges facing cloud computing. This tutorial aims to provide researchers with a fundamental understanding of cloud computing, with the goals of identifying a broad range of potential research topics, and inspiring a new surge in research to address current issues. We will also discuss real implementations of research-oriented cloud computing systems for bothmore » academia and government, including configuration options, hardware issues, challenges, and solutions.« less
Virtual Events: A Cyberspace Resource for Educators.
ERIC Educational Resources Information Center
McLellan, Hilary
1998-01-01
Discusses how virtual events can be used to enhance education. Topics include balancing virtual and real encounters; finding the best mix of communication options; and finding patterns of interaction that support reflective cognition, knowledge amplification, community-building, learning, and global understanding. GLOBENET 1997, an international…
Henning, Judith E K; Deutschbein, Timo; Altieri, Barbara; Steinhauer, Sonja; Kircher, Stefan; Sbiera, Silviu; Wild, Vanessa; Schlötelburg, Wiebke; Kroiss, Matthias; Perotti, Paola; Rosenwald, Andreas; Berruti, Alfredo; Fassnacht, Martin; Ronchi, Cristina L
2017-11-01
Adrenocortical carcinoma (ACC) is rare and confers an unfavorable prognosis in advanced stages. Other than combination chemotherapy with cisplatin, etoposide, doxorubicin, and mitotane, the second- and third-line regimens are not well-established. Gemcitabine (GEM)-based chemotherapy was suggested in a phase 2 clinical trial with 28 patients. In other solid tumors, human equilibrative nucleoside transporter type 1 (hENT1) and/or ribonucleotide reductase catalytic subunit M1 (RRM1) expression have been associated with resistance to GEM. To assess the efficacy of GEM-based chemotherapy in ACC in a real-world setting and the predictive role of molecular parameters. Retrospective multicenter study. Referral centers of university hospitals. A total of 145 patients with advanced ACC were treated with GEM-based chemotherapy (132 with concomitant capecitabine). Formalin-fixed paraffin-embedded tumor material was available for 70 patients for immunohistochemistry. The main outcome measures were progression-free survival (PFS) and an objective response to GEM-based chemotherapy. The secondary objective was the predictive role of hENT1 and RRM1. The median PFS for the patient population was 12 weeks (range, 1 to 94). A partial response or stable disease was achieved in 4.9% and 25.0% of cases, with a median duration of 26.8 weeks. Treatment was generally well tolerated, with adverse events of grade 3 or 4 occurring in 11.0% of cases. No substantial effect of hENT1 and/or RRM1 expression was observed in response to GEM-based chemotherapy. GEM-based chemotherapy is a well-tolerated, but modestly active, regimen against advanced ACC. No reliable molecular predictive factors could be identified. Owing to the scarce alternative therapeutic options, GEM-based chemotherapy remains an important option for salvage treatment for advanced ACC. Copyright © 2017 Endocrine Society
Real options and asset valuation in competitive energy markets
NASA Astrophysics Data System (ADS)
Oduntan, Adekunle Richard
The focus of this work is to develop a robust valuation framework for physical power assets operating in competitive markets such as peaking or mid-merit thermal power plants and baseload power plants. The goal is to develop a modeling framework that can be adapted to different energy assets with different types of operating flexibilities and technical constraints and which can be employed for various purposes such as capital budgeting, business planning, risk management and strategic bidding planning among others. The valuation framework must also be able to capture the reality of power market rules and opportunities, as well as technical constraints of different assets. The modeling framework developed conceptualizes operating flexibilities of power assets as "switching options' whereby the asset operator decides at every decision point whether to switch from one operating mode to another mutually exclusive mode, within the limits of the equipment constraints of the asset. As a current decision to switch operating modes may affect future operating flexibilities of the asset and hence cash flows, a dynamic optimization framework is employed. The developed framework accounts for the uncertain nature of key value drivers by representing them with appropriate stochastic processes. Specifically, the framework developed conceptualizes the operation of a power asset as a multi-stage decision making problem where the operator has to make a decision at every stage to alter operating mode given currently available information about key value drivers. The problem is then solved dynamically by decomposing it into a series of two-stage sub-problems according to Bellman's optimality principle. The solution algorithm employed is the Least Squares Monte Carlo (LSM) method. The developed valuation framework was adapted for a gas-fired thermal power plant, a peaking hydroelectric power plant and a baseload power plant. This work built on previously published real options valuation methodologies for gas-fired thermal power plants by factoring in uncertainty from gas supply/consumption imbalance which is usually faced by gas-fired power generators. This source of uncertainty arises because of mismatch between natural gas and electricity wholesale markets. Natural gas markets in North America operate on a day-ahead basis while power plants are dispatched in real time. Inability of a power generator to match its gas supply and consumption in real time, leading to unauthorized gas over-run or under-run, attracts penalty charges from the gas supplier to the extent that the generator can not manage the imbalance through other means. By considering an illustrative power plant operating in Ontario, we show effects of gas-imbalance on dispatch strategies on a daily cycling operation basis and the resulting impact on net revenue. Similarly, we employ the developed valuation framework to value a peaking hydroelectric power plant. This application also builds on previous real options valuation work for peaking hydroelectric power plants by considering their operations in a joint energy and ancillary services market. Specifically, the valuation model is developed to capture the value of a peaking power plant whose owner has the flexibility to participate in a joint operating reserve market and an energy market, which is currently the case in the Ontario wholesale power market. The model factors in water inflow uncertainty into the reservoir forebay of a hydroelectric facility and also considers uncertain energy and operating reserve prices. The switching options considered include (i) a joint energy and operating reserve bid (ii) an energy only bid and (iii) a do nothing (idle) strategy. Being an energy limited power plant, by doing nothing at a decision interval, the power asset operator is able to timeshift scarce water for use at a future period when market situations are expected to be better. Finally, the developed valuation framework was employed to optimize life-cycle management decisions of a baseload power plant, such as a nuclear power plant. Given uncertainty of long-term value drivers, including power prices, equipment performance and the relationship between current life cycle spending and future equipment degradation, optimization is carried out with the objective of minimizing overall life-cycle related costs. These life-cycle costs include (i) lost revenue during planned and unplanned outages, (ii) potential costs of future equipment degradation due to inadequate preventative maintenance, and (iii) the direct costs of implementing the life-cycle projects. The switching options in this context include the option to shutdown the power plant in order to execute a given preventative maintenance and inspection project and the option to keep the option "alive" by choosing to delay a planned life-cycle activity.
Piantadosi, Steven T.; Hayden, Benjamin Y.
2015-01-01
Economists often model choices as if decision-makers assign each option a scalar value variable, known as utility, and then select the option with the highest utility. It remains unclear whether as-if utility models describe real mental and neural steps in choice. Although choices alone cannot prove the existence of a utility stage, utility transformations are often taken to provide the most parsimonious or psychologically plausible explanation for choice data. Here, we show that it is possible to mathematically transform a large set of common utility-stage two-option choice models (specifically ones in which dimensions are can be decomposed into additive functions) into a heuristic model (specifically, a dimensional prioritization heuristic) that has no utility computation stage. We then show that under a range of plausible assumptions, both classes of model predict similar neural responses. These results highlight the difficulties in using neuroeconomic data to infer the existence of a value stage in choice. PMID:25914613
Multiple tuning of magnetic biskyrmions using in situ L-TEM in centrosymmetric MnNiGa alloy
NASA Astrophysics Data System (ADS)
Peng, Licong; Zhang, Ying; He, Min; Ding, Bei; Wang, Wenhong; Li, Jianqi; Cai, Jianwang; Wang, Shouguo; Wu, Guangheng; Shen, Baogen
2018-02-01
Magnetic skyrmions are topologically protected spin configurations and have recently received growingly attention in magnetic materials. The existence of biskyrmions within a broad temperature range has been identified in our newly-discovered MnNiGa material, promising for potential application in physics and technological study. Here, the biskyrmion microscopic origination from the spin configuration evolution of stripe ground state is experimentally identified. The biskyrmion manipulations based on the influences of the basic microstructures and external factors such as grain boundary confinement, sample thickness, electric current, magnetic field and temperature have been systematically studied by using real-space Lorentz transmission electron microscopy. These multiple tuning options help to understand the essential properties of MnNiGa and predict a significant step forward for the realization of skyrmion-based spintronic devices.
NASA Technical Reports Server (NTRS)
Snow, Walter L.; Childers, Brooks A.; Jones, Stephen B.; Fremaux, Charles M.
1993-01-01
A model space positioning system (MSPS), a state-of-the-art, real-time tracking system to provide the test engineer with on line model pitch and spin rate information, is described. It is noted that the six-degree-of-freedom post processor program will require additional programming effort both in the automated tracking mode for high spin rates and in accuracy to meet the measurement objectives. An independent multicamera system intended to augment the MSPS is studied using laboratory calibration methods based on photogrammetry to characterize the losses in various recording options. Data acquired to Super VHS tape encoded with Vertical Interval Time Code and transcribed to video disk are considered to be a reasonable priced choice for post editing and processing video data.
Voss, John D; Nadkarni, Mohan M; Schectman, Joel M
2005-02-01
Academic medical centers face barriers to training physicians in systems- and practice-based learning competencies needed to function in the changing health care environment. To address these problems, at the University of Virginia School of Medicine the authors developed the Clinical Health Economics System Simulation (CHESS), a computerized team-based quasi-competitive simulator to teach the principles and practical application of health economics. CHESS simulates treatment costs to patients and society as well as physician reimbursement. It is scenario based with residents grouped into three teams, each team playing CHESS using differing (fee-for-service or capitated) reimbursement models. Teams view scenarios and select from two or three treatment options that are medically justifiable yet have different potential cost implications. CHESS displays physician reimbursement and patient and societal costs for each scenario as well as costs and income summarized across all scenarios extrapolated to a physician's entire patient panel. The learners are asked to explain these findings and may change treatment options and other variables such as panel size and case mix to conduct sensitivity analyses in real time. Evaluations completed in 2003 by 68 (94%) CHESS resident and faculty participants at 19 U.S. residency programs preferred CHESS to a traditional lecture-and-discussion format to learn about medical decision making, physician reimbursement, patient costs, and societal costs. Ninety-eight percent reported increased knowledge of health economics after viewing the simulation. CHESS demonstrates the potential of computer simulation to teach health economics and other key elements of practice- and systems-based competencies.
After an Earthquake: Accessing Near Real-Time Data in the Classroom
NASA Astrophysics Data System (ADS)
Bravo, T. K.; Coleman, B.; Hubenthal, M.; Owens, T. J.; Taber, J.; Welti, R.; Weertman, B. R.
2010-12-01
One of the best ways to engage students in scientific content is to give them opportunities to work with real scientific instruments and data and enable them to experience the discovery of scientific information. In addition, newsworthy earthquakes can capture the attention and imagination of students. IRIS and collaborating partners provide a range of options to leverage that attention through access to near-real-time earthquake location and waveform data stored in the IRIS Data Management System and elsewhere via a number of web-based tools and a new Java-based application. The broadest audience is reached by the Seismic Monitor, a simple Web-based tool for observing near-real-time seismicity. The IRIS Earthquake Browser (IEB) allows users to explore recent and cataloged earthquakes and aftershock patterns online with more flexibility, and K-12 classroom activities for understanding plate tectonics and estimating seismic hazards have been designed around its use. Waveforms are easily viewed and explored on the web using the Rapid Earthquake Viewer (REV), developed by the University of South Carolina in collaboration with IRIS E&O. Data from recent well-known earthquakes available via REV are used in exercises to determine Earth’s internal structure and to locate earthquakes. Three component data is presented to the students, allowing a much more realistic analysis of the data than is presented in most textbooks. The Seismographs in Schools program uses real-time data in the classroom to interest and engage students about recent earthquakes. Through the IRIS website, schools can share event data and 24-hr images. Additionally, data is available in real-time via the API. This API allows anyone to extract data, re-purpose it, and display it however they need to, as is being done by the British Geological Survey Seismographs in Schools program. Over 350 schools throughout the US and internationally are currently registered with the IRIS Seismographs in Schools database. IRIS E&O is collaborating with Moravian College on a Java-based software application to replace the current educational seismometer software. This software facilitates the study of seismological concepts in middle school through introductory undergraduate classrooms. Users can view a graphical representation of seismic data in real time and can process this data to determine characteristics of seismograms such as time of occurrence, distance from the epicenter to the station, magnitude, and location (via triangulation). The software interface makes these tasks easy to accomplish and also provides interactive assistance to users. Data can be collected and viewed from a suite of instruments as well as streaming data in true real time. This allows multiple classrooms within a school to display data from their seismograph and for schools without an instrument to display data from another school.
Song, Shuang; Zhang, Changchun; Liu, Li; Meng, Max Q-H
2018-02-01
Flexible surgical robot can work in confined and complex environments, which makes it a good option for minimally invasive surgery. In order to utilize flexible manipulators in complicated and constrained surgical environments, it is of great significance to monitor the position and shape of the curvilinear manipulator in real time during the procedures. In this paper, we propose a magnetic tracking-based planar shape sensing and navigation system for flexible surgical robots in the transoral surgery. The system can provide the real-time tip position and shape information of the robot during the operation. We use wire-driven flexible robot to serve as the manipulator. It has three degrees of freedom. A permanent magnet is mounted at the distal end of the robot. Its magnetic field can be sensed with a magnetic sensor array. Therefore, position and orientation of the tip can be estimated utilizing a tracking method. A shape sensing algorithm is then carried out to estimate the real-time shape based on the tip pose. With the tip pose and shape display in the 3D reconstructed CT model, navigation can be achieved. Using the proposed system, we carried out planar navigation experiments on a skull phantom to touch three different target positions under the navigation of the skull display interface. During the experiments, the real-time shape has been well monitored and distance errors between the robot tip and the targets in the skull have been recorded. The mean navigation error is [Formula: see text] mm, while the maximum error is 3.2 mm. The proposed method provides the advantages that no sensors are needed to mount on the robot and no line-of-sight problem. Experimental results verified the feasibility of the proposed method.
Peregrine, Michael W; Schwartz, James R
2004-10-01
Not-for-profit healthcare providers have several options they can use to resist government attempts to apply the charitable trust doctrine to their business decisions. As a strategic defense, providers should perform internal due diligence that focuses on governing documents, financial arrangements, donations/solicitation, real estate, and charitable waste allegations.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-12-10
... Effectiveness of a Proposed Rule Change To Amend Its Rule Related to Multi-Class Broad- Based Index Option... Rule Change The Exchange proposes to amend its rule related to multi-class broad-based index option... is to (i) clarify that the term ``Multi-Class Broad-Based Index Option Spread Order (Multi-Class...
Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach.
Ladouce, Simon; Donaldson, David I; Dudchenko, Paul A; Ietswaart, Magdalena
2016-01-01
There is a growing body of evidence that important aspects of human cognition have been marginalized, or overlooked, by traditional cognitive science. In particular, the use of laboratory-based experiments in which stimuli are artificial, and response options are fixed, inevitably results in findings that are less ecologically valid in relation to real-world behavior. In the present review we highlight the opportunities provided by a range of new mobile technologies that allow traditionally lab-bound measurements to now be collected during natural interactions with the world. We begin by outlining the theoretical support that mobile approaches receive from the development of embodied accounts of cognition, and we review the widening evidence that illustrates the importance of examining cognitive processes in their context. As we acknowledge, in practice, the development of mobile approaches brings with it fresh challenges, and will undoubtedly require innovation in paradigm design and analysis. If successful, however, the mobile cognition approach will offer novel insights in a range of areas, including understanding the cognitive processes underlying navigation through space and the role of attention during natural behavior. We argue that the development of real-world mobile cognition offers both increased ecological validity, and the opportunity to examine the interactions between perception, cognition and action-rather than examining each in isolation.
Volumetric Real-Time Imaging Using a CMUT Ring Array
Choe, Jung Woo; Oralkan, Ömer; Nikoozadeh, Amin; Gencel, Mustafa; Stephens, Douglas N.; O’Donnell, Matthew; Sahn, David J.; Khuri-Yakub, Butrus T.
2012-01-01
A ring array provides a very suitable geometry for forward-looking volumetric intracardiac and intravascular ultrasound imaging. We fabricated an annular 64-element capacitive micromachined ultrasonic transducer (CMUT) array featuring a 10-MHz operating frequency and a 1.27-mm outer radius. A custom software suite was developed to run on a PC-based imaging system for real-time imaging using this device. This paper presents simulated and experimental imaging results for the described CMUT ring array. Three different imaging methods—flash, classic phased array (CPA), and synthetic phased array (SPA)—were used in the study. For SPA imaging, two techniques to improve the image quality—Hadamard coding and aperture weighting—were also applied. The results show that SPA with Hadamard coding and aperture weighting is a good option for ring-array imaging. Compared with CPA, it achieves better image resolution and comparable signal-to-noise ratio at a much faster image acquisition rate. Using this method, a fast frame rate of up to 463 volumes per second is achievable if limited only by the ultrasound time of flight; with the described system we reconstructed three cross-sectional images in real-time at 10 frames per second, which was limited by the computation time in synthetic beamforming. PMID:22718870
Flight Test of an Adaptive Configuration Optimization System for Transport Aircraft
NASA Technical Reports Server (NTRS)
Gilyard, Glenn B.; Georgie, Jennifer; Barnicki, Joseph S.
1999-01-01
A NASA Dryden Flight Research Center program explores the practical application of real-time adaptive configuration optimization for enhanced transport performance on an L-1011 aircraft. This approach is based on calculation of incremental drag from forced-response, symmetric, outboard aileron maneuvers. In real-time operation, the symmetric outboard aileron deflection is directly optimized, and the horizontal stabilator and angle of attack are indirectly optimized. A flight experiment has been conducted from an onboard research engineering test station, and flight research results are presented herein. The optimization system has demonstrated the capability of determining the minimum drag configuration of the aircraft in real time. The drag-minimization algorithm is capable of identifying drag to approximately a one-drag-count level. Optimizing the symmetric outboard aileron position realizes a drag reduction of 2-3 drag counts (approximately 1 percent). Algorithm analysis of maneuvers indicate that two-sided raised-cosine maneuvers improve definition of the symmetric outboard aileron drag effect, thereby improving analysis results and consistency. Ramp maneuvers provide a more even distribution of data collection as a function of excitation deflection than raised-cosine maneuvers provide. A commercial operational system would require airdata calculations and normal output of current inertial navigation systems; engine pressure ratio measurements would be optional.
Volumetric real-time imaging using a CMUT ring array.
Choe, Jung Woo; Oralkan, Ömer; Nikoozadeh, Amin; Gencel, Mustafa; Stephens, Douglas N; O'Donnell, Matthew; Sahn, David J; Khuri-Yakub, Butrus T
2012-06-01
A ring array provides a very suitable geometry for forward-looking volumetric intracardiac and intravascular ultrasound imaging. We fabricated an annular 64-element capacitive micromachined ultrasonic transducer (CMUT) array featuring a 10-MHz operating frequency and a 1.27-mm outer radius. A custom software suite was developed to run on a PC-based imaging system for real-time imaging using this device. This paper presents simulated and experimental imaging results for the described CMUT ring array. Three different imaging methods--flash, classic phased array (CPA), and synthetic phased array (SPA)--were used in the study. For SPA imaging, two techniques to improve the image quality--Hadamard coding and aperture weighting--were also applied. The results show that SPA with Hadamard coding and aperture weighting is a good option for ring-array imaging. Compared with CPA, it achieves better image resolution and comparable signal-to-noise ratio at a much faster image acquisition rate. Using this method, a fast frame rate of up to 463 volumes per second is achievable if limited only by the ultrasound time of flight; with the described system we reconstructed three cross-sectional images in real-time at 10 frames per second, which was limited by the computation time in synthetic beamforming.
Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach
Ladouce, Simon; Donaldson, David I.; Dudchenko, Paul A.; Ietswaart, Magdalena
2017-01-01
There is a growing body of evidence that important aspects of human cognition have been marginalized, or overlooked, by traditional cognitive science. In particular, the use of laboratory-based experiments in which stimuli are artificial, and response options are fixed, inevitably results in findings that are less ecologically valid in relation to real-world behavior. In the present review we highlight the opportunities provided by a range of new mobile technologies that allow traditionally lab-bound measurements to now be collected during natural interactions with the world. We begin by outlining the theoretical support that mobile approaches receive from the development of embodied accounts of cognition, and we review the widening evidence that illustrates the importance of examining cognitive processes in their context. As we acknowledge, in practice, the development of mobile approaches brings with it fresh challenges, and will undoubtedly require innovation in paradigm design and analysis. If successful, however, the mobile cognition approach will offer novel insights in a range of areas, including understanding the cognitive processes underlying navigation through space and the role of attention during natural behavior. We argue that the development of real-world mobile cognition offers both increased ecological validity, and the opportunity to examine the interactions between perception, cognition and action—rather than examining each in isolation. PMID:28127283
Attention as foraging for information and value
Manohar, Sanjay G.; Husain, Masud
2013-01-01
What is the purpose of attention? One avenue of research has led to the proposal that attention might be crucial for gathering information about the environment, while other lines of study have demonstrated how attention may play a role in guiding behavior to rewarded options. Many experiments that study attention require participants to make a decision based on information acquired discretely at one point in time. In real-world situations, however, we are usually not presented with information about which option to select in such a manner. Rather we must initially search for information, weighing up reward values of options before we commit to a decision. Here, we propose that attention plays a role in both foraging for information and foraging for value. When foraging for information, attention is guided toward the unknown. When foraging for reward, attention is guided toward high reward values, allowing decision-making to proceed by accept-or-reject decisions on the currently attended option. According to this account, attention can be regarded as a low-cost alternative to moving around and physically interacting with the environment—“teleforaging”—before a decision is made to interact physically with the world. To track the timecourse of attention, we asked participants to seek out and acquire information about two gambles by directing their gaze, before choosing one of them. Participants often made multiple refixations on items before making a decision. Their eye movements revealed that early in the trial, attention was guided toward information, i.e., toward locations that reduced uncertainty about value. In contrast, late in the trial, attention was guided by expected value of the options. At the end of the decision period, participants were generally attending to the item they eventually chose. We suggest that attentional foraging shifts from an uncertainty-driven to a reward-driven mode during the evolution of a decision, permitting decisions to be made by an engage-or-search strategy. PMID:24204335
Role of the plurality rule in multiple choices
NASA Astrophysics Data System (ADS)
Calvão, A. M.; Ramos, M.; Anteneodo, C.
2016-02-01
People are often challenged to select one among several alternatives. This situation is present not only in decisions about complex issues, e.g. political or academic choices, but also about trivial ones, such as in daily purchases at a supermarket. We tackle this scenario by means of the tools of statistical mechanics. Following this approach, we introduce and analyse a model of opinion dynamics, using a Potts-like state variable to represent the multiple choices, including the ‘undecided state’, which represents the individuals who do not make a choice. We investigate the dynamics over Erdös-Rényi and Barabási-Albert networks, two paradigmatic classes with the small-world property, and we show the impact of the type of network on the opinion dynamics. Depending on the number of available options q and on the degree distribution of the network of contacts, different final steady states are accessible: from a wide distribution of choices to a state where a given option largely dominates. The abrupt transition between them is consistent with the sudden viral dominance of a given option over many similar ones. Moreover, the probability distributions produced by the model are validated by real data. Finally, we show that the model also contemplates the real situation of overchoice, where a large number of similar alternatives makes the choice process harder and indecision prevail.
How PV system ownership can impact the market value of residential homes
DOE Office of Scientific and Technical Information (OSTI.GOV)
Klise, Geoffrey Taylor; Johnson, Jamie L.
2014-01-01
There are multiple ways for a homeowner to obtain the electricity generating and savings benefits offered by a photovoltaic (PV) system. These include purchasing a PV system through various financing mechanisms, or by leasing the PV system from a third party with multiple options that may include purchase, lease renewal or PV system removal. The different ownership options available to homeowners presents a challenge to appraisal and real estate professionals during a home sale or refinance in terms of how to develop a value that is reflective of the PV systems operational characteristics, local market conditions, and lender and underwritermore » requirements. This paper presents these many PV system ownership options with a discussion of what considerations an appraiser must make when developing the contributory value of a PV system to a residential property.« less
Evaluating Common Item Block Options When Faced with Practical Constraints
ERIC Educational Resources Information Center
Wolkowitz, Amanda; Davis-Becker, Susan
2015-01-01
This study evaluates the impact of common item characteristics on the outcome of equating in credentialing examinations when traditionally recommended representation is not possible. This research used real data sets from several credentialing exams to test the impact of content representation, item statistics, and number of common items on…
The U.S. Environmental Protection Agency (EPA) will be recommending a quantitativ e polymerase chain reaction (qPCR) method targeting Enterococcus spp. as an option for monitoring recreational beach water quality. A practical consideration for widespread implementation of this o...
Mediation Plus Options To Resolve the "Real" Problems Underlying Disputes.
ERIC Educational Resources Information Center
Beekman, Lyn
This paper discusses alternatives to court litigation in special education disputes between schools and parents of students with disabilities. It begins by describing problems with the current hearing process and dispelling myths about alternative dispute resolutions (ADR). The advantages and disadvantages of mediation are then outlined, along…
Bringing Reality to "Real Options": An Experiential Exercise
ERIC Educational Resources Information Center
Turner, Craig; Turner, Kyle Dean
2015-01-01
Issues surrounding the contextual environment in which strategic decisions are made are difficult concepts to grasp, particularly for undergraduate students with little business experience. They are also problematic for graduate students that have not been called on to make such decisions within their career. The authors propose an exercise that…
ERIC Educational Resources Information Center
Blumenfeld, Lucinda
2007-01-01
A teacher has to keep going to school just to keep his or her job, so it pays to know the most interesting and convenient programs available. This article presents 11 professional development options that "work" for teachers' real-life schedules: (1) Best for Children's Literature: Penn State University; (2) Best for Science & Technology: PBS…
ERIC Educational Resources Information Center
Johnson, William C.; Ormond, Paul
2013-01-01
If properly installed, optimized geoexchange systems can be one of the most cost effective, powerful options to accomplish the goal of improved energy efficiency and reduced carbon emissions. Accurately quantifying field performance is an important step in designing a system that is the proper size and capacity. The authors share the real life…
7 CFR 1780.94 - Minimum bond specifications.
Code of Federal Regulations, 2010 CFR
2010-01-01
... by the Government. The Agency address for registration purposes will be that of the Finance Office... from the sale of basic chattel or real estate security, refund of unused loan funds, cash proceeds of property insurance and similar actions which reduce the value of basic security. At the option of the...
The U.S. Environmental Protection Agency (EPA) will be recommending a quantitative polymerase chain reaction (qPCR) method targeting Enterococcus spp. as an option for monitoring recreational beach water quality. A practical consideration for widespread implementation of this or ...
Educating for an Entrepreneurial Career: Developing Opportunity-Recognition Ability
ERIC Educational Resources Information Center
Sardeshmukh, Shruti R.; Smith-Nelson, Ronda M.
2011-01-01
Entrepreneurship as a career option has become increasingly desirable, and there is a real need to develop an opportunity-oriented entrepreneurial mindset among tertiary students. Current entrepreneurship education heavily relies on the linear process of business planning and rarely encourages the complex and non-linear thinking patterns necessary…
Gant, Nicholas; Meads, Andrew; Warren, Ian; Maddison, Ralph
2016-01-01
Background Participation in traditional center-based cardiac rehabilitation exercise programs (exCR) is limited by accessibility barriers. Mobile health (mHealth) technologies can overcome these barriers while preserving critical attributes of center-based exCR monitoring and coaching, but these opportunities have not yet been capitalized on. Objective We aimed to design and develop an evidence- and theory-based mHealth platform for remote delivery of exCR to any geographical location. Methods An iterative process was used to design and develop an evidence- and theory-based mHealth platform (REMOTE-CR) that provides real-time remote exercise monitoring and coaching, behavior change education, and social support. Results The REMOTE-CR platform comprises a commercially available smartphone and wearable sensor, custom smartphone and Web-based applications (apps), and a custom middleware. The platform allows exCR specialists to monitor patients’ exercise and provide individualized coaching in real-time, from almost any location, and provide behavior change education and social support. Intervention content incorporates Social Cognitive Theory, Self-determination Theory, and a taxonomy of behavior change techniques. Exercise components are based on guidelines for clinical exercise prescription. Conclusions The REMOTE-CR platform extends the capabilities of previous telehealth exCR platforms and narrows the gap between existing center- and home-based exCR services. REMOTE-CR can complement center-based exCR by providing an alternative option for patients whose needs are not being met. Remotely monitored exCR may be more cost-effective than establishing additional center-based programs. The effectiveness and acceptability of REMOTE-CR are now being evaluated in a noninferiority randomized controlled trial. PMID:27342791
Series: Pragmatic trials and real world evidence: Paper 7. Safety, quality and monitoring.
Irving, Elaine; van den Bor, Rutger; Welsing, Paco; Walsh, Veronica; Alfonso-Cristancho, Rafael; Harvey, Catherine; Garman, Nadia; Grobbee, Diederick E
2017-11-01
Pragmatic trials offer the opportunity to obtain real-life data on the relative effectiveness and safety of a treatment before or after market authorization. This is the penultimate paper in a series of eight, describing the impact of design choices on the practical implementation of pragmatic trials. This paper focuses on the practical challenges of collecting and reporting safety data and of monitoring trial conduct while maintaining routine clinical care practice. Current ICH guidance recommends that all serious adverse events and all drug-related events must be reported in an interventional trial. In line with current guidance, we propose a risk-based approach to the collection of non-drug-related non-serious adverse events and even serious events not related to treatment based on the risk profile of the medicine/class in the patient population of interest. Different options available to support the collection and reporting of safety data while minimizing study-related follow-up visits are discussed. A risk-based approach to monitoring trial conduct is also discussed, highlighting the difference in the balance of risks likely to occur in a pragmatic trial compared to traditional clinical trials and the careful consideration that must be given to the mitigation and management of these risks to maintain routine care. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
Karakülah, G.; Dicle, O.; Sökmen, S.; Çelikoğlu, C.C.
2015-01-01
Summary Background The selection of appropriate rectal cancer treatment is a complex multi-criteria decision making process, in which clinical decision support systems might be used to assist and enrich physicians’ decision making. Objective The objective of the study was to develop a web-based clinical decision support tool for physicians in the selection of potentially beneficial treatment options for patients with rectal cancer. Methods The updated decision model contained 8 and 10 criteria in the first and second steps respectively. The decision support model, developed in our previous study by combining the Analytic Hierarchy Process (AHP) method which determines the priority of criteria and decision tree that formed using these priorities, was updated and applied to 388 patients data collected retrospectively. Later, a web-based decision support tool named corRECTreatment was developed. The compatibility of the treatment recommendations by the expert opinion and the decision support tool was examined for its consistency. Two surgeons were requested to recommend a treatment and an overall survival value for the treatment among 20 different cases that we selected and turned into a scenario among the most common and rare treatment options in the patient data set. Results In the AHP analyses of the criteria, it was found that the matrices, generated for both decision steps, were consistent (consistency ratio<0.1). Depending on the decisions of experts, the consistency value for the most frequent cases was found to be 80% for the first decision step and 100% for the second decision step. Similarly, for rare cases consistency was 50% for the first decision step and 80% for the second decision step. Conclusions The decision model and corRECTreatment, developed by applying these on real patient data, are expected to provide potential users with decision support in rectal cancer treatment processes and facilitate them in making projections about treatment options. PMID:25848413
Suner, A; Karakülah, G; Dicle, O; Sökmen, S; Çelikoğlu, C C
2015-01-01
The selection of appropriate rectal cancer treatment is a complex multi-criteria decision making process, in which clinical decision support systems might be used to assist and enrich physicians' decision making. The objective of the study was to develop a web-based clinical decision support tool for physicians in the selection of potentially beneficial treatment options for patients with rectal cancer. The updated decision model contained 8 and 10 criteria in the first and second steps respectively. The decision support model, developed in our previous study by combining the Analytic Hierarchy Process (AHP) method which determines the priority of criteria and decision tree that formed using these priorities, was updated and applied to 388 patients data collected retrospectively. Later, a web-based decision support tool named corRECTreatment was developed. The compatibility of the treatment recommendations by the expert opinion and the decision support tool was examined for its consistency. Two surgeons were requested to recommend a treatment and an overall survival value for the treatment among 20 different cases that we selected and turned into a scenario among the most common and rare treatment options in the patient data set. In the AHP analyses of the criteria, it was found that the matrices, generated for both decision steps, were consistent (consistency ratio<0.1). Depending on the decisions of experts, the consistency value for the most frequent cases was found to be 80% for the first decision step and 100% for the second decision step. Similarly, for rare cases consistency was 50% for the first decision step and 80% for the second decision step. The decision model and corRECTreatment, developed by applying these on real patient data, are expected to provide potential users with decision support in rectal cancer treatment processes and facilitate them in making projections about treatment options.
Real-time surveillance system for marine environment based on HLIF LiDAR
NASA Astrophysics Data System (ADS)
Babichenko, Sergey; Sobolev, Innokenti; Aleksejev, Valeri; Sõro, Oliver
2017-10-01
The operational monitoring of the risk areas of marine environment requires cost-effective solutions. One of the options is the use of sensor networks based on fixed installations and moving platforms (coastal boats, supply-, cargo-, and passenger vessels). Such network allows to gather environmental data in time and space with direct links to operational activities in the controlled area for further environmental risk assessment. Among many remote sensing techniques the LiDAR (Light Detection And Ranging) based on Light Induced Fluorescence (LIF) is the tool of direct assessment of water quality variations caused by chemical pollution, colored dissolved organic matter, and phytoplankton composition. The Hyperspectral LIF (HLIF) LiDAR acquires comprehensive LIF spectra and analyses them by spectral pattern recognition technique to detect and classify the substances in water remotely. Combined use of HLIF LiDARs with Real-Time Data Management System (RTDMS) provides the economically effective solution for the regular monitoring in the controlled area. OCEAN VISUALS in cooperation with LDI INNOVATION has developed Oil in Water Locator (OWL™) with RTDMS (OWL MAP™) based on HLIF LiDAR technique. This is a novel technical solution for monitoring of marine environment providing continuous unattended operations. OWL™ has been extensively tested on board of various vessels in the North Sea, Norwegian Sea, Barents Sea, Baltic Sea and Caribbean Sea. This paper describes the technology features, the results of its operational use in 2014-2017, and outlook for the technology development.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Barbose, Galen; Goldman, Charles; Bharvirkar, Ranjit
Demand response (DR) has been broadly recognized to be an integral component of well-functioning electricity markets, although currently underdeveloped in most regions. Among the various initiatives undertaken to remedy this deficiency, public utility commissions (PUC) and utilities have considered implementing dynamic pricing tariffs, such as real-time pricing (RTP), and other retail pricing mechanisms that communicate an incentive for electricity consumers to reduce their usage during periods of high generation supply costs or system reliability contingencies. Efforts to introduce DR into retail electricity markets confront a range of basic policy issues. First, a fundamental issue in any market context is howmore » to organize the process for developing and implementing DR mechanisms in a manner that facilitates productive participation by affected stakeholder groups. Second, in regions with retail choice, policymakers and stakeholders face the threshold question of whether it is appropriate for utilities to offer a range of dynamic pricing tariffs and DR programs, or just ''plain vanilla'' default service. Although positions on this issue may be based primarily on principle, two empirical questions may have some bearing--namely, what level of price response can be expected through the competitive retail market, and whether establishing RTP as the default service is likely to result in an appreciable level of DR? Third, if utilities are to have a direct role in developing DR, what types of retail pricing mechanisms are most appropriate and likely to have the desired policy impact (e.g., RTP, other dynamic pricing options, DR programs, or some combination)? Given a decision to develop utility RTP tariffs, three basic implementation issues require attention. First, should it be a default or optional tariff, and for which customer classes? Second, what types of tariff design is most appropriate, given prevailing policy objectives, wholesale market structure, ratemaking practices and standards, and customer preferences? Third, if a primary goal for RTP implementation is to induce DR, what types of supplemental activities are warranted to support customer participation and price response (e.g., interval metering deployment, customer education, and technical assistance)?« less
Power Hardware-in-the-Loop Evaluation of PV Inverter Grid Support on Hawaiian Electric Feeders
DOE Office of Scientific and Technical Information (OSTI.GOV)
Nelson, Austin A; Prabakar, Kumaraguru; Nagarajan, Adarsh
As more grid-connected photovoltaic (PV) inverters become compliant with evolving interconnections requirements, there is increased interest from utilities in understanding how to best deploy advanced grid-support functions (GSF) in the field. One efficient and cost-effective method to examine such deployment options is to leverage power hardware-in-the-loop (PHIL) testing methods, which combine the fidelity of hardware tests with the flexibility of computer simulation. This paper summarizes a study wherein two Hawaiian Electric feeder models were converted to real-time models using an OPAL-RT real-time digital testing platform, and integrated with models of GSF capable PV inverters based on characterization test data. Themore » integrated model was subsequently used in PHIL testing to evaluate the effects of different fixed power factor and volt-watt control settings on voltage regulation of the selected feeders using physical inverters. Selected results are presented in this paper, and complete results of this study were provided as inputs for field deployment and technical interconnection requirements for grid-connected PV inverters on the Hawaiian Islands.« less
Gray, E; O'Leary, A; Bergin, C; Cannon, M; Courtney, G; Crosbie, O; De Gascun, C F; Fanning, L J; Feeney, E; Houlihan, D D; Kelleher, B; Lambert, J S; Lee, J; Mallon, Pwg; McConkey, S; McCormick, A; McKiernan, S; McNally, C; Murray, F; Sheehan, G; Stewart, S; Walsh, C; Norris, S
2017-06-01
We investigated the real-world effectiveness of interferon-free regimens for the treatment of patients with compensated cirrhosis infected with hepatitis C virus (HCV). Using the Irish national HCV treatment registry, the effectiveness and safety of interferon-free regimens for HCV-infected patients treated between April 2015 and August 2016, was determined. A SVR12 was achieved in 86% of subjects treated with sofosbuvir/ledipasvir ± ribavirin (SOF/LDV±RBV), 93% treated with paritaprevir, ombitasvir and ritonavir combined with dasabuvir ± ribavirin (3D±RBV) and 89% treated with sofosbuvir/daclatasvir ± ribavirin (SOF/DCV±RBV). The discontinuation rate was 5% and the on-treatment mortality rate was 1%. The availability of interferon-free regimens represents a significant breakthrough for the treatment of HCV infection. Treatments options, with high SVR12 rates, are now available for patients with compensated cirrhosis who were unsuitable for treatment with interferon-based regimens. Data obtained from studies conducted in real world practice provide robust information fundamental for input into future economic evaluations for agents used for the treatment of HCV infection.
Classify epithelium-stroma in histopathological images based on deep transferable network.
Yu, X; Zheng, H; Liu, C; Huang, Y; Ding, X
2018-04-20
Recently, the deep learning methods have received more attention in histopathological image analysis. However, the traditional deep learning methods assume that training data and test data have the same distributions, which causes certain limitations in real-world histopathological applications. However, it is costly to recollect a large amount of labeled histology data to train a new neural network for each specified image acquisition procedure even for similar tasks. In this paper, an unsupervised domain adaptation is introduced into a typical deep convolutional neural network (CNN) model to mitigate the repeating of the labels. The unsupervised domain adaptation is implemented by adding two regularisation terms, namely the feature-based adaptation and entropy minimisation, to the object function of a widely used CNN model called the AlexNet. Three independent public epithelium-stroma datasets were used to verify the proposed method. The experimental results have demonstrated that in the epithelium-stroma classification, the proposed method can achieve better performance than the commonly used deep learning methods and some existing deep domain adaptation methods. Therefore, the proposed method can be considered as a better option for the real-world applications of histopathological image analysis because there is no requirement for recollection of large-scale labeled data for every specified domain. © 2018 The Authors Journal of Microscopy © 2018 Royal Microscopical Society.
Equipment issues regarding the collection of video data for research
NASA Astrophysics Data System (ADS)
Kung, Rebecca Lippmann; Kung, Peter; Linder, Cedric
2005-12-01
Physics education research increasingly makes use of video data for analysis of student learning and teaching practice. Collection of these data is conceptually simple but execution is often fraught with costly and time-consuming complications. This pragmatic paper discusses the development of systems to record and permanently archive audio and video data in real-time. We focus on a system based upon consumer video DVD recorders, but also give an overview of other technologies and detail issues common to all systems. We detail common yet unexpected complications, particularly with regard to sound quality and compatibility with transcription software. Information specific to fixed and transportable systems, other technology options, and generic and specific equipment recommendations are given in supplemental appendices
Effect of electron spin-spin interaction on level crossings and spin flips in a spin-triplet system
NASA Astrophysics Data System (ADS)
Jia, Wei; Hu, Fang-Qi; Wu, Ning; Zhao, Qing
2017-12-01
We study level crossings and spin flips in a system consisting of a spin-1 (an electron spin triplet) coupled to a nuclear spin of arbitrary size K , in the presence of a uniform magnetic field and the electron spin-spin interaction within the triplet. Through an analytical diagonalization based on the SU (3 ) Lie algebra, we find that the electron spin-spin interaction not only removes the curious degeneracy which appears in the absence of the interaction, but also produces some level anticrossings (LACs) for strong interactions. The real-time dynamics of the system shows that periodic spin flips occur at the LACs for arbitrary K , which might provide an option for nuclear or electron spin polarization.
Sun, Mengshu; Xue, Yuankun; Bogdan, Paul; Tang, Jian; Wang, Yanzhi; Lin, Xue
2018-01-01
Recently, a new approach has been introduced that leverages and over-provisions energy storage devices (ESDs) in data centers for performing power capping and facilitating capex/opex reductions, without performance overhead. To fully realize the potential benefits of the hierarchical ESD structure, we propose a comprehensive design, control, and provisioning framework including (i) designing power delivery architecture supporting hierarchical ESD structure and hybrid ESDs for some levels, as well as (ii) control and provisioning of the hierarchical ESD structure including run-time ESD charging/discharging control and design-time determination of ESD types, homogeneous/hybrid options, ESD provisioning at each level. Experiments have been conducted using real Google data center workloads based on realistic data center specifications.
Xue, Yuankun; Bogdan, Paul; Tang, Jian; Wang, Yanzhi; Lin, Xue
2018-01-01
Recently, a new approach has been introduced that leverages and over-provisions energy storage devices (ESDs) in data centers for performing power capping and facilitating capex/opex reductions, without performance overhead. To fully realize the potential benefits of the hierarchical ESD structure, we propose a comprehensive design, control, and provisioning framework including (i) designing power delivery architecture supporting hierarchical ESD structure and hybrid ESDs for some levels, as well as (ii) control and provisioning of the hierarchical ESD structure including run-time ESD charging/discharging control and design-time determination of ESD types, homogeneous/hybrid options, ESD provisioning at each level. Experiments have been conducted using real Google data center workloads based on realistic data center specifications. PMID:29351553
Dilemmas in Treating Smoldering Multiple Myeloma
Ahn, Inhye E.; Mailankody, Sham; Korde, Neha; Landgren, Ola
2015-01-01
Novel therapies hold promise for high-risk smoldering multiple myeloma (SMM). Recent studies suggest that modern combination approaches can be options for high-risk SMM to obtain deep molecular responses with favorable toxicity profiles. Although pioneering treatment trials based on small numbers of patients suggest progression-free and overall survival benefits, application of the data to real-life practice remains to be validated. Therapeutic modulation of disease tempo, disease burden, clonal evolution, and tumor microenvironment in SMM remains to be understood and calls for reliable biomarkers reflective of disease biology. Here, we review studies that open a new management platform for SMM, address ongoing dilemmas in practice and under investigation, and highlight emerging scientific questions in the era of SMM treatment. PMID:25422486
Non-acute care facility ownership: if not you, who?
Davis, J Michael
2007-01-01
Physician groups now face a dynamic medical real estate market that can provide an attractive alternative to self-owned and self-financed outpatient facilities and medical office buildings. The ownership and financing options available to physicians and physician groups considering the development of new medical projects have expanded greatly over the past few years and are likely to continue to evolve in the foreseeable future. This changing environment, driven by new sources of institutional capital and the emergence of qualified developers, has led to a more competitive market for physicians and groups seeking real estate capital partners, and physicians are starting to take advantage of it. Physicians and groups have embraced third-party ownership and management of real estate, because it can preserve capital resources and minimizes risk. These groups are using third parties to develop and own new medical real estate projects. This article describes medical real estate project development alternatives, the attributes and concerns of developers, typical transaction terms, and a recommended process for physicians and groups to select the best real estate development partner.
MO-B-BRC-01: Introduction [Brachytherapy
DOE Office of Scientific and Technical Information (OSTI.GOV)
Prisciandaro, J.
2016-06-15
Brachytherapy has proven to be an effective treatment option for prostate cancer. Initially, prostate brachytherapy was delivered through permanently implanted low dose rate (LDR) radioactive sources; however, high dose rate (HDR) temporary brachytherapy for prostate cancer is gaining popularity. Needle insertion during prostate brachytherapy is most commonly performed under ultrasound (U/S) guidance; however, treatment planning may be performed utilizing several imaging modalities either in an intra- or post-operative setting. During intra-operative prostate HDR, the needles are imaged during implantation, and planning may be performed in real time. At present, the most common imaging modality utilized for intra-operative prostate HDR ismore » U/S. Alternatively, in the post-operative setting, following needle implantation, patients may be simulated with computed tomography (CT) or magnetic resonance imaging (MRI). Each imaging modality and workflow provides its share of benefits and limitations. Prostate HDR has been adopted in a number of cancer centers across the nation. In this educational session, we will explore the role of U/S, CT, and MRI in HDR prostate brachytherapy. Example workflows and operational details will be shared, and we will discuss how to establish a prostate HDR program in a clinical setting. Learning Objectives: Review prostate HDR techniques based on the imaging modality Discuss the challenges and pitfalls introduced by the three imagebased options for prostate HDR brachytherapy Review the QA process and learn about the development of clinical workflows for these imaging options at different institutions.« less
MO-B-BRC-00: Prostate HDR Treatment Planning - Considering Different Imaging Modalities
DOE Office of Scientific and Technical Information (OSTI.GOV)
NONE
2016-06-15
Brachytherapy has proven to be an effective treatment option for prostate cancer. Initially, prostate brachytherapy was delivered through permanently implanted low dose rate (LDR) radioactive sources; however, high dose rate (HDR) temporary brachytherapy for prostate cancer is gaining popularity. Needle insertion during prostate brachytherapy is most commonly performed under ultrasound (U/S) guidance; however, treatment planning may be performed utilizing several imaging modalities either in an intra- or post-operative setting. During intra-operative prostate HDR, the needles are imaged during implantation, and planning may be performed in real time. At present, the most common imaging modality utilized for intra-operative prostate HDR ismore » U/S. Alternatively, in the post-operative setting, following needle implantation, patients may be simulated with computed tomography (CT) or magnetic resonance imaging (MRI). Each imaging modality and workflow provides its share of benefits and limitations. Prostate HDR has been adopted in a number of cancer centers across the nation. In this educational session, we will explore the role of U/S, CT, and MRI in HDR prostate brachytherapy. Example workflows and operational details will be shared, and we will discuss how to establish a prostate HDR program in a clinical setting. Learning Objectives: Review prostate HDR techniques based on the imaging modality Discuss the challenges and pitfalls introduced by the three imagebased options for prostate HDR brachytherapy Review the QA process and learn about the development of clinical workflows for these imaging options at different institutions.« less
Transformations based on continuous piecewise-affine velocity fields
Freifeld, Oren; Hauberg, Soren; Batmanghelich, Kayhan; ...
2017-01-11
Here, we propose novel finite-dimensional spaces of well-behaved Rn → Rn transformations. The latter are obtained by (fast and highly-accurate) integration of continuous piecewise-affine velocity fields. The proposed method is simple yet highly expressive, effortlessly handles optional constraints (e.g., volume preservation and/or boundary conditions), and supports convenient modeling choices such as smoothing priors and coarse-to-fine analysis. Importantly, the proposed approach, partly due to its rapid likelihood evaluations and partly due to its other properties, facilitates tractable inference over rich transformation spaces, including using Markov-Chain Monte-Carlo methods. Its applications include, but are not limited to: monotonic regression (more generally, optimization overmore » monotonic functions); modeling cumulative distribution functions or histograms; time-warping; image warping; image registration; real-time diffeomorphic image editing; data augmentation for image classifiers. Our GPU-based code is publicly available.« less
Wavefront sensorless adaptive optics ophthalmoscopy in the human eye
Hofer, Heidi; Sredar, Nripun; Queener, Hope; Li, Chaohong; Porter, Jason
2011-01-01
Wavefront sensor noise and fidelity place a fundamental limit on achievable image quality in current adaptive optics ophthalmoscopes. Additionally, the wavefront sensor ‘beacon’ can interfere with visual experiments. We demonstrate real-time (25 Hz), wavefront sensorless adaptive optics imaging in the living human eye with image quality rivaling that of wavefront sensor based control in the same system. A stochastic parallel gradient descent algorithm directly optimized the mean intensity in retinal image frames acquired with a confocal adaptive optics scanning laser ophthalmoscope (AOSLO). When imaging through natural, undilated pupils, both control methods resulted in comparable mean image intensities. However, when imaging through dilated pupils, image intensity was generally higher following wavefront sensor-based control. Despite the typically reduced intensity, image contrast was higher, on average, with sensorless control. Wavefront sensorless control is a viable option for imaging the living human eye and future refinements of this technique may result in even greater optical gains. PMID:21934779
Transformations Based on Continuous Piecewise-Affine Velocity Fields
Freifeld, Oren; Hauberg, Søren; Batmanghelich, Kayhan; Fisher, Jonn W.
2018-01-01
We propose novel finite-dimensional spaces of well-behaved ℝn → ℝn transformations. The latter are obtained by (fast and highly-accurate) integration of continuous piecewise-affine velocity fields. The proposed method is simple yet highly expressive, effortlessly handles optional constraints (e.g., volume preservation and/or boundary conditions), and supports convenient modeling choices such as smoothing priors and coarse-to-fine analysis. Importantly, the proposed approach, partly due to its rapid likelihood evaluations and partly due to its other properties, facilitates tractable inference over rich transformation spaces, including using Markov-Chain Monte-Carlo methods. Its applications include, but are not limited to: monotonic regression (more generally, optimization over monotonic functions); modeling cumulative distribution functions or histograms; time-warping; image warping; image registration; real-time diffeomorphic image editing; data augmentation for image classifiers. Our GPU-based code is publicly available. PMID:28092517
Zeng, Yunxin; Zhang, Jingwen; Li, Xiaoqing; Zhang, Ling; Liu, Jiajun
2018-06-01
T315I mutation is the most common BCR-ABL mutation and confers resistance to all the first and second generation BCR-ABL tyrosine kinases, including nilotinib and dasatinib. We report a high risk chronic myelogenous leukemia (CML) patient harboring the T315I mutation treated by Interferon-α (INF-α) solo and subsequently combined with dasatinib. Hematological investigation, bone marrow cytology inspection, chromosomal analysis (G-banding), and real-time quantitative polymerase chain reaction (RQ-PCR) were performed on a 47-year-old male patient. After 8 months IFN-α monotherapy, the patient lost the T315I mutation but acquired a new F359V mutation. After 2 months on dasatinib and INF-α treatment, the patient achieved complete hematologic response (CHR). IFN-α based combination therapy could be a viable treatment option for CML patients harboring T315I BCR-ABL mutation.
Introducing a Framework for Physics Innovation and Entrepreneurship (PIE) Education
NASA Astrophysics Data System (ADS)
Roughani, Bahram
A desired outcome for Physics Innovation and Entrepreneurship (PIE) education is preparing physics majors with an innovative and entrepreneurial mindset who are capable of opportunity recognition and adept in leveraging physics knowledge to address specific needs. Physics as a discipline is well-recognized to prepare students who become problem solvers and critical thinkers, gifted in dealing with abstract ideas and ambiguities in the context of complex and real-world problems. These characteristics when enhanced through appropriate combinations of curricular, co-curricular, and extra-curricular programs can prepare physics majors for careers and future challenges that may involve translating physics knowledge into useful products and services either as part of a technical team within an organization or through startups. A viable PIE education model prepares graduates for various career paths in addition to the traditional options such as pursuing graduate studies or becoming a science teacher. Having a well-defined ``third option'' for physics will benefit the robustness of the physics discipline through recruitment and retention of prospective students who in principle are interested in physics as a subject, but in practice they may overlook physics as their preferred major primarily because they are uncertain about a viable career path based on an undergraduate physics education. The ''Pathways to Innovation'' at Loyola is established based on the program developed by VentureWell and Epicenter (NSF Supported).
Direct and pulsed current annealing of p-MOSFET based dosimeter: the "MOSkin".
Alshaikh, Sami; Carolan, Martin; Petasecca, Marco; Lerch, Michael; Metcalfe, Peter; Rosenfeld, Anatoly
2014-06-01
Contemporary radiation therapy (RT) is complicated and requires sophisticated real-time quality assurance (QA). While 3D real-time dosimetry is most preferable in RT, it is currently not fully realised. A small, easy to use and inexpensive point dosimeter with real-time and in vivo capabilities is an option for routine QA. Such a dosimeter is essential for skin, in vivo or interface dosimetry in phantoms for treatment plan verification. The metal-oxide-semiconductor-field-effect-transistor (MOSFET) detector is one of the best choices for these purposes, however, the MOSFETs sensitivity and its signal stability degrade after essential irradiation which limits its lifespan. The accumulation of positive charge on the gate oxide and the creation of interface traps near the silicon-silicon dioxide layer is the primary physical phenomena responsible for this degradation. The aim of this study is to investigate MOSFET dosimeter recovery using two proposed annealing techniques: direct current (DC) and pulsed current (PC), both based on hot charged carrier injection into the gate oxide of the p-MOSFET dosimeter. The investigated MOSFETs were reused multiple times using an irradiation-annealing cycle. The effect of the current-annealing parameters was investigated for the dosimetric characteristics of the recovered MOSFET dosimeters such as linearity, sensitivity and initial threshold voltage. Both annealing techniques demonstrated excellent results in terms of maintaining a stable response, linearity and sensitivity of the MOSFET dosimeter. However, PC annealing is more preferable than DC annealing as it offers better dose response linearity of the reused MOSFET and has a very short annealing time.
Ngarina, Matilda; Tarimo, Edith A M; Naburi, Helga; Kilewo, Charles; Mwanyika-Sando, Mary; Chalamilla, Guerino; Biberfeld, Gunnel; Ekstrom, Anna Mia
2014-01-01
The WHO 2010 guidelines for prevention of mother-to-child transmission (PMTCT) of HIV recommended prophylactic antiretroviral treatment (ART) either for infants (Option A) or mothers (Option B) during breastfeeding for pregnant women with a CD4 count of >350 cell/µL in low-income countries. In 2012, WHO proposed that all HIV-infected pregnant women should receive triple ART for life (B+) irrespective of CD4 count. Tanzania has recently switched from Option A to B+, with a few centers practicing B. However, more information on the real-life feasibility of these options is needed. This qualitative study explored women's preferences for Option A vs B and their views on Option B+ in Dar es Salaam, Tanzania. We conducted four focus group discussions with a total of 27 pregnant women with unknown HIV status, attending reproductive and child health clinics, and 31 in-depth interviews among HIV-infected pregnant and post-delivery women, 17 of whom were also asked about B+. Most participants were in favor of Option B compared to A. The main reasons for choosing Option B were: HIV-associated stigma, fear of drug side-effects on infants and difficult logistics for postnatal drug adherence. Some of the women asked about B+ favored it as they agreed that they would eventually need ART for their own survival. Some were against B+ anticipating loss of motivation after protecting the child, fearing drug side-effects and not feeling ready to embark on lifelong medication. Some were undecided. Option B was preferred. Since Tanzania has recently adopted Option B+, women with CD4 counts of >350 cell/µL should be counseled about the possibility to "opt-out" from ART after cessation of breastfeeding. Drug safety and benefits, economic concerns and available resources for laboratory monitoring and evaluation should be addressed during B+ implementation to enhance long-term feasibility and effectiveness.
Bridging the Gap - Networking Educators using Real-Time Seismic Data
NASA Astrophysics Data System (ADS)
Ortiz, A. M.; Renwald, M. D.; Baldwin, T. K.; Hall, M. K.
2004-12-01
After nearly a decade, the seismology community has made critical advances in identifying what is effective and what is needed for success in incorporating real-time seismic data in the classroom. Today's K-16 classroom teachers have many options and opportunities for incorporating short- and long-term inquiry activities for monitoring earthquakes and analyzing seismic data in their daily instruction. Through the SpiNet program, we are providing web-based tools that support educators working with real-time seismic data (http://www.scieds.com/spinet/). Our site includes a Recent Seismicity section, which allows users to share seismic data in real-time, and provides near real-time information about global seismicity. Our Activities section provides data and lessons to assist educators who wish to integrate seismology into their classroom. The Research section, currently under development, will allow educators to share general information about how they teach seismology in their classroom through a discussion board and by posting lesson plans. In addition, we are developing a user-friendly tool for students to post results of their research projects. Designing a website which targets a range of users requires a working knowledge of both user needs and website programming and design. User needs include providing a logical navigational structure and accounting for differences in browser functionality, internet access, and users' abilities. Using website development tools, such as PHP, MySQL, RDF feeds, and specialized geoscience applications, we are automating site maintenance; incorporating databases for information storage and retrieval; and providing accessibility for users with a range of skills and physical limitations. By incorporating these features, we have built a dynamic interface for a broad range of users interested in educational seismology.
2010-02-08
popular pastime. Even in Biblical accounts, Roman soldiers cast lots for Christ’s robes. In earlier times, chance was something that occurred in nature...with the advent of blazing fast computing technology, our modern world of uncertainty can be explained with much more elegance through
Structuring an Undergraduate Mathematics Seminar Dealing with Options and Hedging
ERIC Educational Resources Information Center
Prevot, K. J.
2006-01-01
Offering mathematics majors the opportunity to engage in current, real-world applications can be an important enhancement to their undergraduate course curriculum. Instead of focusing on the traditional topic areas in pure and/or applied mathematics, one may structure a seminar course for senior mathematics majors by concentrating on a specific…
Federal Register 2010, 2011, 2012, 2013, 2014
2010-09-20
... to a vendor's dissemination of a real-time Network B last sale price information ticker over...: BATS Exchange, Inc.; Chicago Board Options Exchange, Inc.; Chicago Stock Exchange, Inc.; Financial.... Network B Television Ticker Fees The amendment seeks to establish as a permanent part of the Network B...
Sequencing Information Investigators have a wealth of study design options available to them using next (whole exome and custom only). SNVs and indels called and annotated Data quality evaluated using a robust contamination is estimated using VerifyBamID. The QC report is used in-house to monitor QC metrics real-time and
Real Options Valuation of e-Learning Projects
ERIC Educational Resources Information Center
Freitas, Angilberto; Brandao, Luiz
2010-01-01
New information and communication technologies have been gaining widespread use in Distance Education (DE) models. At the same time, the uncertainty in the market demand for this form of higher education is such that the valuation of "e-Learning" projects has become increasingly difficult and complex. This is due to the fact that…
Debunking a Special Education Myth: Don't Blame Private Options for Rising Costs
ERIC Educational Resources Information Center
Greene, Jay P.; Winters, Marcus A.
2007-01-01
Can spiraling special education costs explain why educational achievement remained stagnant over the past three decades while real education spending more than doubled? Policy makers, education researchers, and school district officials often make this claim. Special education students--goes the argument--are draining resources away from regular…
Breaking out of the Asynchronous Box: Using Web Conferencing in Distance Learning
ERIC Educational Resources Information Center
Lietzau, Julie Arnold; Mann, Barbara J.
2009-01-01
A discussion of a university library's use of Web conferencing (real-time synchronous instruction) which addresses the questions (1) Is Web conferencing a viable option for distance students in online only classrooms? (2) Do faculty and students benefit from this type of instruction? Four different scenarios are presented with assessment results…
Auditory Learning Using a Portable Real-Time Vocoder: Preliminary Findings
ERIC Educational Resources Information Center
Casserly, Elizabeth D.; Pisoni, David B.
2015-01-01
Purpose: Although traditional study of auditory training has been in controlled laboratory settings, interest has been increasing in more interactive options. The authors examine whether such interactive training can result in short-term perceptual learning, and the range of perceptual skills it impacts. Method: Experiments 1 (N = 37) and 2 (N =…
2007-03-01
of the project, and the Weighted Average Cost of Capital ( WACC ). WACC is defined as the after-tax marginal cost of capital (Copeland & Antikarov...Initial Investment t = Life Expectancy of Project (Start =1, to Finish=N) E(FCF) = Expected Free-Cash Flow WACC = Weighted Average Cost of
7 CFR 1955.66 - Lease of real property.
Code of Federal Regulations, 2011 CFR
2011-01-01
... leased or rented (market rent). Inventory property will not be leased for a token amount. (1) Farm... payment assistance, if any) calculated on the basis of the price of the house and income of the lessee... price. (2) The purchase price (option price) will be the advertised sales price as determined by an...
Kern, Jordan D; Hise, Adam M; Characklis, Greg W; Gerlach, Robin; Viamajala, Sridhar; Gardner, Robert D
2017-02-01
This study investigates the use of "real options analysis" (ROA) to quantify the value of greater product flexibility at algal biofuel production facilities. A deterministic optimization framework is integrated with a combined life cycle assessment/techno-economic analysis model and subjected to an ensemble of 30-year commodity price trajectories. Profits are maximized for two competing plant configurations: 1) one that sells lipid-extracted algae as animal feed only; and 2) one that can sell lipid-extracted algae as feed or use it to recover nutrients and energy, due to an up-front investment in anaerobic digestion/combined heat and power. Results show that added investment in plant flexibility does not result in an improvement in net present value, because current feed meal prices discourage use of lipid-extracted algae for nutrient and energy recovery. However, this study demonstrates that ROA provides many useful insights regarding plant design that cannot be captured via traditional techno-economic modeling. Copyright © 2016 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Cucchiella, Federica; D'Adamo, Idiano; Gastaldi, Massimo; Lenny Koh, S. C.
2014-06-01
Green supply chain management (GSCM) has emerged as a key approach for enterprises seeking to become environmentally sustainable. This paper aims to evaluate and describe the advantages of a GSCM approach by analysing practices and performance consequences in the battery recycling sector. It seeks to integrate works in supply chain management (SCM), environmental management, performance management and real option (RO) theory into one framework. In particular, life cycle assessment (LCA) is applied to evaluate the environmental impact of a battery recycling plant project, and life cycle costing (LCC) is applied to evaluate its economic impact. Firms, also understanding the relevance of GSCM, have often avoided applying the green principles because of the elevated costs that such management involved. Such costs could also seem superior to the potential advantages since standard performance measurement systems are internally and business focused; for these reasons, we consider all the possible value deriving also by uncertainty associated to a green project using the RO theory. This work is one of the few and pioneering efforts to investigate GSCM practices in the battery recycling sector.
A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand
Buys, Laurie; Vine, Desley; Ledwich, Gerard; Bell, John; Mengersen, Kerrie; Morris, Peter; Lewis, Jim
2015-01-01
Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times. PMID:25807384
Buys, Laurie; Vine, Desley; Ledwich, Gerard; Bell, John; Mengersen, Kerrie; Morris, Peter; Lewis, Jim
2015-01-01
Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times.
Rapid Response Risk Assessment in New Project Development
NASA Technical Reports Server (NTRS)
Graber, Robert R.
2010-01-01
A capability for rapidly performing quantitative risk assessments has been developed by JSC Safety and Mission Assurance for use on project design trade studies early in the project life cycle, i.e., concept development through preliminary design phases. A risk assessment tool set has been developed consisting of interactive and integrated software modules that allow a user/project designer to assess the impact of alternative design or programmatic options on the probability of mission success or other risk metrics. The risk and design trade space includes interactive options for selecting parameters and/or metrics for numerous design characteristics including component reliability characteristics, functional redundancy levels, item or system technology readiness levels, and mission event characteristics. This capability is intended for use on any project or system development with a defined mission, and an example project will used for demonstration and descriptive purposes, e.g., landing a robot on the moon. The effects of various alternative design considerations and their impact of these decisions on mission success (or failure) can be measured in real time on a personal computer. This capability provides a high degree of efficiency for quickly providing information in NASA s evolving risk-based decision environment
Recreating communities to support active living: a new role for social marketing.
Maibach, Edward W
2003-01-01
The lack of routine physical activity has become an all too pervasive health threat in the United States. Social marketing can be used directly to promote increased physical activity among people who have access to active living options (e.g., safe and convenient sidewalks or bike paths). A second, albeit indirect, use of social marketing to promote physical activity--and the focus of this article--involves promoting behaviors that influence the built environment for the purpose of increasing people's access to active living options. This use of social marketing involves changing the behavior of consumers, developers, distribution channels (e.g., real estate agents) and policy makers. The approach offers public health and other organizations a disciplined, consumer-focused means of mobilizing their available resources in a manner that maximizes the odds of creating active living communities. These means include understanding the competition, understanding target markets, creating mutually beneficial exchanges, segmenting markets and targeting them based on anticipated return. This article identifies specific opportunities for applying the social marketing approach to create active living communities, and identifies opportunities at the state and national level that will enhance the effectiveness of local efforts.
Estimation of option-implied risk-neutral into real-world density by using calibration function
NASA Astrophysics Data System (ADS)
Bahaludin, Hafizah; Abdullah, Mimi Hafizah
2017-04-01
Option prices contain crucial information that can be used as a reflection of future development of an underlying assets' price. The main objective of this study is to extract the risk-neutral density (RND) and the risk-world density (RWD) of option prices. A volatility function technique is applied by using a fourth order polynomial interpolation to obtain the RNDs. Then, a calibration function is used to convert the RNDs into RWDs. There are two types of calibration function which are parametric and non-parametric calibrations. The density is extracted from the Dow Jones Industrial Average (DJIA) index options with a one month constant maturity from January 2009 until December 2015. The performance of RNDs and RWDs extracted are evaluated by using a density forecasting test. This study found out that the RWDs obtain can provide an accurate information regarding the price of the underlying asset in future compared to that of the RNDs. In addition, empirical evidence suggests that RWDs from a non-parametric calibration has a better accuracy than other densities.
Parker, Andrew M; Weller, Joshua A
2015-01-01
Decision-making competence reflects individual differences in the susceptibility to committing decision-making errors, measured using tasks common from behavioral decision research (e.g., framing effects, under/overconfidence, following decision rules). Prior research demonstrates that those with higher decision-making competence report lower incidence of health-risking and antisocial behaviors, but there has been less focus on intermediate processes that may impact real-world decisions, and, in particular, those implicated by normative models. Here we test the associations between measures of youth decision-making competence (Y-DMC) and one such process, the degree to which individuals make choices consistent with maximizing expected value (EV). Using a task involving hypothetical gambles, we find that greater EV sensitivity is associated with greater Y-DMC. Higher Y-DMC scores are associated with (a) choosing risky options when EV favors those options and (b) avoiding risky options when EV favors a certain option. This relationship is stronger for gambles that involved potential losses. The results suggest that Y-DMC captures decision processes consistent with standard normative evaluations of risky decisions.
Investment in hydrogen tri-generation for wastewater treatment plants under uncertainties
NASA Astrophysics Data System (ADS)
Gharieh, Kaveh; Jafari, Mohsen A.; Guo, Qizhong
2015-11-01
In this article, we present a compound real option model for investment in hydrogen tri-generation and onsite hydrogen dispensing systems for a wastewater treatment plant under price and market uncertainties. The ultimate objective is to determine optimal timing and investment thresholds to exercise initial and subsequent options such that the total savings are maximized. Initial option includes investment in a 1.4 (MW) Molten Carbonate Fuel Cell (MCFC) fed by mixture of waste biogas from anaerobic digestion and natural gas, along with auxiliary equipment. Produced hydrogen in MCFC via internal reforming, is recovered from the exhaust gas stream using Pressure Swing Adsorption (PSA) purification technology. Therefore the expansion option includes investment in hydrogen compression, storage and dispensing (CSD) systems which creates additional revenue by selling hydrogen onsite in retail price. This work extends current state of investment modeling within the context of hydrogen tri-generation by considering: (i) Modular investment plan for hydrogen tri-generation and dispensing systems, (ii) Multiple sources of uncertainties along with more realistic probability distributions, (iii) Optimal operation of hydrogen tri-generation is considered, which results in realistic saving estimation.
Empathy, social media, and directed altruistic living organ donation.
Moorlock, Greg; Draper, Heather
2018-06-01
In this article we explore some of the ethical dimensions of using social media to increase the number of living kidney donors. Social media provides a platform for changing non-identifiable 'statistical victims' into 'real people' with whom we can identify and feel empathy: the so-called 'identifiable victim effect', which prompts charitable action. We examine three approaches to promoting kidney donation using social media which could take advantages of the identifiable victim effect: (a) institutionally organized campaigns based on historical cases aimed at promoting non-directed altruistic donation; (b) personal case-based campaigns organized by individuals aimed at promoting themselves/or someone with whom they are in a relationship as a recipient of directed donation; (c) institutionally organized personal case-based campaigns aimed at promoting specific recipients for directed donation. We will highlight the key ethical issues raised by these approaches, and will argue that the third option, despite raising ethical concerns, is preferable to the other two. © 2018 The Authors Bioethics Published by John Wiley & Sons Ltd.
North-East Asian Super Grid: Renewable energy mix and economics
NASA Astrophysics Data System (ADS)
Breyer, Christian; Bogdanov, Dmitrii; Komoto, Keiichi; Ehara, Tomoki; Song, Jinsoo; Enebish, Namjil
2015-08-01
Further development of the North-East Asian energy system is at a crossroads due to severe limitations of the current conventional energy based system. For North-East Asia it is proposed that the excellent solar and wind resources of the Gobi desert could enable the transformation towards a 100% renewable energy system. An hourly resolved model describes an energy system for North-East Asia, subdivided into 14 regions interconnected by high voltage direct current (HVDC) transmission grids. Simulations are made for highly centralized, decentralized and country-wide grids scenarios. The results for total system levelized cost of electricity (LCOE) are 0.065 and 0.081 €/(kW·h) for the centralized and decentralized approaches for 2030 assumptions. The presented results for 100% renewable resources-based energy systems are lower in LCOE by about 30-40% than recent findings in Europe for conventional alternatives. This research clearly indicates that a 100% renewable resources-based energy system is THE real policy option.
An Interactive Real-Time Locating System Based on Bluetooth Low-Energy Beacon Network †
Lin, You-Wei
2018-01-01
The ubiquity of Bluetooth-enabled smartphones and peripherals has brought tremendous convenience to our daily life. In recent years, Bluetooth beacons have also been gaining popularity in implementing a variety of innovative location-based services such as self-guided systems in exhibition centers. However, the broadcast-based beacon technology can only provide unidirectional communication. In case smartphone users would like to respond to the beacon messages, they have to rely on their own mobile Internet connections to send the information back to the backend system. Nevertheless, mobile Internet services may not be always available or too costly. In this work, we develop a real-time locating system based only on the Bluetooth low energy (BLE) technology to support interactive communications by combining the broadcast and mesh topology options to extend the applicability of beacon solutions. Specifically, we turn the smartphone into a beacon device and augment the beacon devices with the capability of forming a mesh network. The implementation result shows that our beacon devices can detect the presence of specific users at specific locations, and then the presence state can be sent to the application server via the relay of beacon devices. Moreover, the application server can send personalized location-based messages to the users, again via the relay of beacon devices. With the capability of relaying messages between the beacon devices, it would be convenient for developers to implement a variety of interactive applications such as tracking VIP customers at the airport, or tracking an elder with Alzheimer’s disease in the neighborhood. PMID:29883386
An Interactive Real-Time Locating System Based on Bluetooth Low-Energy Beacon Network †.
Lin, You-Wei; Lin, Chi-Yi
2018-05-21
The ubiquity of Bluetooth-enabled smartphones and peripherals has brought tremendous convenience to our daily life. In recent years, Bluetooth beacons have also been gaining popularity in implementing a variety of innovative location-based services such as self-guided systems in exhibition centers. However, the broadcast-based beacon technology can only provide unidirectional communication. In case smartphone users would like to respond to the beacon messages, they have to rely on their own mobile Internet connections to send the information back to the backend system. Nevertheless, mobile Internet services may not be always available or too costly. In this work, we develop a real-time locating system based only on the Bluetooth low energy (BLE) technology to support interactive communications by combining the broadcast and mesh topology options to extend the applicability of beacon solutions. Specifically, we turn the smartphone into a beacon device and augment the beacon devices with the capability of forming a mesh network. The implementation result shows that our beacon devices can detect the presence of specific users at specific locations, and then the presence state can be sent to the application server via the relay of beacon devices. Moreover, the application server can send personalized location-based messages to the users, again via the relay of beacon devices. With the capability of relaying messages between the beacon devices, it would be convenient for developers to implement a variety of interactive applications such as tracking VIP customers at the airport, or tracking an elder with Alzheimer’s disease in the neighborhood.
Federal Register 2010, 2011, 2012, 2013, 2014
2010-10-19
... Rule Change To List Series With Up to 12 Expiration Months for Broad-Based Security Index Options Upon... list series with up to 12 expiration months for options that overlie broad- based security indexes for...)(2), Terms of Index Options, to allow the Exchange to list series with up to 12 expiration months for...
The Effect of Solution Heat Treatment on an Advanced Nickel-Base Disk Alloy
NASA Technical Reports Server (NTRS)
Gayda, J.; Gabb, T. P.; Kantzos, P. T.
2004-01-01
Five heat treat options for an advanced nickel-base disk alloy, LSHR, have been investigated. These included two conventional solution heat treat cycles, subsolvus/oil quench and supersolvus/fan cool, which yield fine grain and coarse grain microstructure disks respectively, as well as three advanced dual microstructure heat treat (DMHT) options. The DMHT options produce disks with a fine grain bore and a coarse grain rim. Based on an overall evaluation of the mechanical property data, it was evident that the three DMHT options achieved a desirable balance of properties in comparison to the conventional solution heat treatments for the LSHR alloy. However, one of the DMHT options, SUB/DMHT, produced the best set of properties, largely based on dwell crack growth data. Further evaluation of the SUB/DMHT option in spin pit experiments on a generic disk shape demonstrated the advantages and reliability of a dual grain structure at the component level.
NASA Astrophysics Data System (ADS)
Jeuland, Marc; Whittington, Dale
2014-03-01
This article presents a methodology for planning new water resources infrastructure investments and operating strategies in a world of climate change uncertainty. It combines a real options (e.g., options to defer, expand, contract, abandon, switch use, or otherwise alter a capital investment) approach with principles drawn from robust decision-making (RDM). RDM comprises a class of methods that are used to identify investment strategies that perform relatively well, compared to the alternatives, across a wide range of plausible future scenarios. Our proposed framework relies on a simulation model that includes linkages between climate change and system hydrology, combined with sensitivity analyses that explore how economic outcomes of investments in new dams vary with forecasts of changing runoff and other uncertainties. To demonstrate the framework, we consider the case of new multipurpose dams along the Blue Nile in Ethiopia. We model flexibility in design and operating decisions—the selection, sizing, and sequencing of new dams, and reservoir operating rules. Results show that there is no single investment plan that performs best across a range of plausible future runoff conditions. The decision-analytic framework is then used to identify dam configurations that are both robust to poor outcomes and sufficiently flexible to capture high upside benefits if favorable future climate and hydrological conditions should arise. The approach could be extended to explore design and operating features of development and adaptation projects other than dams.
Benefits and Limitations of Real Options Analysis for the Practice of River Flood Risk Management
NASA Astrophysics Data System (ADS)
Kind, Jarl M.; Baayen, Jorn H.; Botzen, W. J. Wouter
2018-04-01
Decisions on long-lived flood risk management (FRM) investments are complex because the future is uncertain. Flexibility and robustness can be used to deal with future uncertainty. Real options analysis (ROA) provides a welfare-economics framework to design and evaluate robust and flexible FRM strategies under risk or uncertainty. Although its potential benefits are large, ROA is hardly used in todays' FRM practice. In this paper, we investigate benefits and limitations of a ROA, by applying it to a realistic FRM case study for an entire river branch. We illustrate how ROA identifies optimal short-term investments and values future options. We develop robust dike investment strategies and value the flexibility offered by additional room for the river measures. We benchmark the results of ROA against those of a standard cost-benefit analysis and show ROA's potential policy implications. The ROA for a realistic case requires a high level of geographical detail, a large ensemble of scenarios, and the inclusion of stakeholders' preferences. We found several limitations of applying the ROA. It is complex. In particular, relevant sources of uncertainty need to be recognized, quantified, integrated, and discretized in scenarios, requiring subjective choices and expert judgment. Decision trees have to be generated and stakeholders' preferences have to be translated into decision rules. On basis of this study, we give general recommendations to use high discharge scenarios for the design of measures with high fixed costs and few alternatives. Lower scenarios may be used when alternatives offer future flexibility.
The 'Real Welfare' scheme: benchmarking welfare outcomes for commercially farmed pigs.
Pandolfi, F; Stoddart, K; Wainwright, N; Kyriazakis, I; Edwards, S A
2017-10-01
Animal welfare standards have been incorporated in EU legislation and in farm assurance schemes, based on scientific information and aiming to safeguard the welfare of the species concerned. Recently, emphasis has shifted from resource-based measures of welfare to animal-based measures, which are considered to assess more accurately the welfare status. The data used in this analysis were collected from April 2013 to May 2016 through the 'Real Welfare' scheme in order to assess on-farm pig welfare, as required for those finishing pigs under the UK Red Tractor Assurance scheme. The assessment involved five main measures (percentage of pigs requiring hospitalization, percentage of lame pigs, percentage of pigs with severe tail lesions, percentage of pigs with severe body marks and enrichment use ratio) and optional secondary measures (percentage of pigs with mild tail lesions, percentage of pigs with dirty tails, percentage of pigs with mild body marks, percentage of pigs with dirty bodies), with associated information about the environment and the enrichment in the farms. For the complete database, a sample of pens was assessed from 1928 farm units. Repeated measures were taken in the same farm unit over time, giving 112 240 records at pen level. These concerned a total of 13 480 289 pigs present on the farm during the assessments, with 5 463 348 pigs directly assessed using the 'Real Welfare' protocol. The three most common enrichment types were straw, chain and plastic objects. The main substrate was straw which was present in 67.9% of the farms. Compared with 2013, a significant increase of pens with undocked-tail pigs, substrates and objects was observed over time (P0.3). The results from the first 3 years of the scheme demonstrate a reduction of the prevalence of animal-based measures of welfare problems and highlight the value of this initiative.
45 CFR 1306.32 - Center-based program option.
Code of Federal Regulations, 2014 CFR
2014-10-01
... 45 Public Welfare 4 2014-10-01 2014-10-01 false Center-based program option. 1306.32 Section 1306... annually for each child enrolled in a center-based program option. These visits must be initiated and... give individual attention to children entering and leaving the center. (d) Full day variation. (1) A...
45 CFR 1306.32 - Center-based program option.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 45 Public Welfare 4 2013-10-01 2013-10-01 false Center-based program option. 1306.32 Section 1306... annually for each child enrolled in a center-based program option. These visits must be initiated and... give individual attention to children entering and leaving the center. (d) Full day variation. (1) A...
45 CFR 1306.32 - Center-based program option.
Code of Federal Regulations, 2012 CFR
2012-10-01
... 45 Public Welfare 4 2012-10-01 2012-10-01 false Center-based program option. 1306.32 Section 1306... annually for each child enrolled in a center-based program option. These visits must be initiated and... give individual attention to children entering and leaving the center. (d) Full day variation. (1) A...
Rapid characterization of seismic sources in Chile: Contribution of the GNSS component
NASA Astrophysics Data System (ADS)
Barrientos, S. E.; Riquelme, S.; Baez, J. C., Sr.
2017-12-01
The recently created National Seismological Center (CSN) of the University of Chile was tasked to upgrade the countrýs seismic network in 2013. The upgrade included new 65 collocated accelerometer and broadband instruments together with 130 GNSS devices designed to transmit their data in real time. Forty units of the GNSS devices include the RTX option, a real time 1-Hz positioning capability at 4-cm error level. The observation system is complemented with 297 additional stand-alone strong motion instruments mainly located in basins for seismic engineering purposes. Broadband data can be accessed in real time from IRIS Data Management Service under networks C and C1. Strong motion event data can be retrieved through the CSN database (evtdb.csn.uchile.cl). A server is being established to handle GNSS data requests through an NTRIP Caster. Completion of the connectivity of the GNSS remote units to the main acquisition servers is expected to take place within several months. In addition to the 40 units providing real time positioning through the RTX option, Precise Point Positioning (PPP) algorithms are being tested on the CSN main servers to enable real time estimates every second for all GNSS remote devices. Because of the high earthquake productivity rate in Chile, the RTX system capabilities have been positively tested in two cases already, demonstrating their excellent performance: i) the main aftershock (M7.6) of the April 1, 2014, northern Chile event and ii) the April 24, 2017, (M6.9) event in central Chile. The former produced coastal horizontal static displacements of the order of 30 cm while the latter of the order of 5 cm. In addition to rapid earthquake characterization through static deformation, W-phase displacement waveform inversions are included in the fast analysis providing excellent results. These new applications and methodologies have profoundly impacted the rapid evaluation of the tsunamigenic potential of large earthquakes in the near field.
Das, P; Pandey, P; Harishankar, A; Chandy, M; Bhattacharya, S; Chakrabarti, A
2017-01-01
Standardization of Aspergillus polymerase chain reaction (PCR) poses two technical challenges (a) standardization of DNA extraction, (b) optimization of PCR against various medically important Aspergillus species. Many cases of aspergillosis go undiagnosed because of relative insensitivity of conventional diagnostic methods such as microscopy, culture or antigen detection. The present study is an attempt to standardize real-time PCR assay for rapid sensitive and specific detection of Aspergillus DNA in EDTA whole blood. Three nucleic acid extraction protocols were compared and a two-step real-time PCR assay was developed and validated following the recommendations of the European Aspergillus PCR Initiative in our setup. In the first PCR step (pan-Aspergillus PCR), the target was 28S rDNA gene, whereas in the second step, species specific PCR the targets were beta-tubulin (for Aspergillus fumigatus, Aspergillus flavus, Aspergillus terreus), gene and calmodulin gene (for Aspergillus niger). Species specific identification of four medically important Aspergillus species, namely, A. fumigatus, A. flavus, A. niger and A. terreus were achieved by this PCR. Specificity of the PCR was tested against 34 different DNA source including bacteria, virus, yeast, other Aspergillus sp., other fungal species and for human DNA and had no false-positive reactions. The analytical sensitivity of the PCR was found to be 102 CFU/ml. The present protocol of two-step real-time PCR assays for genus- and species-specific identification for commonly isolated species in whole blood for diagnosis of invasive Aspergillus infections offers a rapid, sensitive and specific assay option and requires clinical validation at multiple centers.
Optimizing technology investments: a broad mission model approach
NASA Technical Reports Server (NTRS)
Shishko, R.
2003-01-01
A long-standing problem in NASA is how to allocate scarce technology development resources across advanced technologies in order to best support a large set of future potential missions. Within NASA, two orthogonal paradigms have received attention in recent years: the real-options approach and the broad mission model approach. This paper focuses on the latter.
Decision Making Methods in Space Economics and Systems Engineering
NASA Technical Reports Server (NTRS)
Shishko, Robert
2006-01-01
This viewgraph presentation reviews various methods of decision making and the impact that they have on space economics and systems engineering. Some of the methods discussed are: Present Value and Internal Rate of Return (IRR); Cost-Benefit Analysis; Real Options; Cost-Effectiveness Analysis; Cost-Utility Analysis; Multi-Attribute Utility Theory (MAUT); and Analytic Hierarchy Process (AHP).
Federal Register 2010, 2011, 2012, 2013, 2014
2011-07-12
... Exchange Act of 1934 (``Act'') \\1\\ and Rule 608 thereunder,\\2\\ notice is hereby given that on June 24, 2011... Internet Access to Real- Time OPRA Data.'' The definitions of the terms ``Hosted Solution'' and ``Client... circumstances in which an OPRA Vendor may pay OPRA's ``Internet Service Only'' Redistribution Fee ($650/month...
Federal Register 2010, 2011, 2012, 2013, 2014
2013-04-24
... real-time, low latency data feed that includes CBSX ``BBO data'' and last sale data.\\4\\ CBOE reports CBSX BBO data under the Consolidated Quotation Plan (``CQ Plan'') and CBSX last sale data under the... reports CBSX BBO data and CBSX last sale data under the Nasdaq Unlisted Trading Privileges Plan (``Nasdaq...
Effect of Sidewall Configurations on Hypersonic Intake Performance
NASA Astrophysics Data System (ADS)
Kim, Seihwan; Park, Ji Hyun; Jeung, In-Seuck; Lee, Hyoung Jin
For reusable space launchers and hypersonic flight vehicles, use of an air-breathing propulsion system with supersonic combustion is the most promising option in terms of cost effectiveness. At this point, only the scramjet propulsion system provides a real alternative to expensive rocket driven systems, which currently are the only way to reach a hypersonics speeds.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-01-06
... Research Systems, Inc. (``FactSet') and Thomson Reuters (``Reuters''). Real time data is distributed at... series. As stated in the filing, the Exchange has rules in place designed to protect public customer... are long term options that generally expire from twelve to thirty-nine months from the time they are...
Fusion energy in context: its fitness for the long term.
Holdren, J P
1978-04-14
Long-term limits to growth in energy will be imposed not by inability to expand supply, but by the rising environmental and social costs of doing so. These costs will therefore be central issues in choosing long-term options. Fusion, like solar energy, is not one possibility but many, some with very attractive environmental characteristics and others perhaps little better in these regards than fission. None of the fusion options will be cheap, and none is likely to be widely available before the year 2010. The most attractive forms of fusion may require greater investments of time and money to achieve, but they are the real reason for wanting fusion at all.
Pricing the property claim service (PCS) catastrophe insurance options using gamma distribution
NASA Astrophysics Data System (ADS)
Noviyanti, Lienda; Soleh, Achmad Zanbar; Setyanto, Gatot R.
2017-03-01
The catastrophic events like earthquakes, hurricanes or flooding are characteristics for some areas, a properly calculated annual premium would be closely as high as the loss insured. From an actuarial perspective, such events constitute the risk that are not insurable. On the other hand people living in such areas need protection. In order to securitize the catastrophe risk, futures or options based on a loss index could be considered. Chicago Board of Trade launched a new class of catastrophe insurance options based on new indices provided by Property Claim Services (PCS). The PCS-option is based on the Property Claim Service Index (PCS-Index). The index are used to determine and payout in writing index-based insurance derivatives. The objective of this paper is to price PCS Catastrophe Insurance Option based on PCS Catastrophe index. Gamma Distribution is used to estimate PCS Catastrophe index distribution.
Economic grand rounds: financing first-episode psychosis services in the United States.
Goldman, Howard H; Karakus, Mustafa; Frey, William; Beronio, Kirsten
2013-06-01
Adequate financing is essential to implementing services for individuals experiencing a first episode of a psychotic illness. Recovery After an Initial Schizophrenia Episode (RAISE), a project sponsored by the National Institute of Mental Health, is providing a practical test of the implementation and effectiveness of first-episode services in real-world settings. This column describes approaches to financing early intervention services that are being used at five of 18 U.S. sites participating in a clinical trial of a team-based, multielement RAISE intervention. The authors also describe new options for financing that will become available as the Affordable Care Act (ACA) is implemented more fully. The ACA will rationalize coverage of first-episode services, but the all-important Medicaid provisions will also require individual state action to implement services optimally.
NASA Technical Reports Server (NTRS)
Gregg, Hugh; Healey, Kathleen; Hack, Edmund; Wong, Carla
1988-01-01
Expert systems that require access to data bases, complex simulations and real time instrumentation have both symbolic and algorithmic needs. Both of these needs could be met using a general purpose workstation running both symbolic and algorithmic codes, or separate, specialized computers networked together. The later approach was chosen to implement TEXSYS, the thermal expert system, developed by the NASA Ames Research Center in conjunction with the Johnson Space Center to demonstrate the ability of an expert system to autonomously monitor the thermal control system of the space station. TEXSYS has been implemented on a Symbolics workstation, and will be linked to a microVAX computer that will control a thermal test bed. The integration options and several possible solutions are presented.
Evaluation of bleeding in patients receiving direct oral anticoagulants
Hellenbart, Erika L; Faulkenberg, Kathleen D; Finks, Shannon W
2017-01-01
Direct oral anticoagulants (DOACs) are recognized by evidence-based treatment guidelines as the first-line option for the treatment of venous thromboembolism and prevention of stroke and systemic embolism in nonvalvular atrial fibrillation. As use of these anticoagulants has become favored over the past several years, reported bleeding-related adverse drug events with these agents has increased. In randomized clinical trials, all DOACs have a reduced risk for intracranial hemorrhage, while major and other bleeding results have varied among the agents compared to vitamin K antagonists. We have reviewed the bleeding incidence and severity from randomized and real-world data in patients receiving DOACs in an effort to provide the clinician with a critical review of bleeding and offer practical considerations for avoiding adverse events with these anticoagulants. PMID:28860793
NASA Astrophysics Data System (ADS)
Azimi, Yousue; Osanloo, Montza; Esfahanipour, Akbar
2012-12-01
Cut-off Grade Strategy (COGS) is a concept that directly influences the financial, technical, economic, environmental, and legal issues in relation to exploitation of a mineral resource. A decision making system is proposed to select the best technically feasible COGS under price uncertainty. In the proposed system both the conventional discounted cash flow and modern simulation based real option valuations are used to evaluate the alternative strategies. Then the conventional expected value criterion and a multiple criteria ranking system were used to rank the strategies based on the two valuation methods. In the multiple criteria ranking system besides the expected value other stochastic orders expressing abilities of strategies in producing extra profits, minimizing losses and achieving the predefined goals of the exploitation strategy are considered. Finally, the best strategy is selected based on the overall average rank of strategies through all ranking systems. The proposed system was examined using the data of Sungun Copper Mine. To assess the merits of the alternatives better, ranking process was done at both high (prevailing economic condition) and low price conditions. Ranking results revealed that at different price conditions and valuation methods, different results would be obtained. It is concluded that these differences are due to the different behavior of the embedded option to close the mine early, which is more likely to be exercised under low price condition rather than high price condition. The proposed system would enhance the quality of decision making process by providing a more informative and certain platform for project evaluation.
The LINC-NIRVANA fringe and flexure tracker: Linux real-time solutions
NASA Astrophysics Data System (ADS)
Wang, Yeping; Bertram, Thomas; Straubmeier, Christian; Rost, Steffen; Eckart, Andreas
2006-06-01
The correction of atmospheric differential piston and instrumental flexure effects is mandatory for optimum interferometric performance of the LBT NIR interferometric imaging camera LINC-NIRVANA. The task of the Fringe and Flexure Tracking System (FFTS) is to detect and correct these effects in a real-time closed loop. On a timescale of milliseconds, image data of the order of 4K bytes has to be retrieved from the FFTS detector, analyzed, and the results have to be sent to the control system. The need for a reliable communication between several processes within a confined period of time calls for solutions with good real-time performance. We investigated two soft real-time options for the Linux platform. The design we present takes advantage of several features that follow the POSIX standard with improved real-time performance, which were implemented in the new Linux kernel (2.6.12). Several concepts, such as synchronization, shared memory, and preemptive scheduling are considered and the performance of the most time-critical parts of the FFTS software is tested.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Shepard, A; Bednarz, B
Purpose: To develop an ultrasound learning-based tracking algorithm with the potential to provide real-time motion traces of anatomy-based fiducials that may aid in the effective delivery of external beam radiation. Methods: The algorithm was developed in Matlab R2015a and consists of two main stages: reference frame selection, and localized block matching. Immediately following frame acquisition, a normalized cross-correlation (NCC) similarity metric is used to determine a reference frame most similar to the current frame from a series of training set images that were acquired during a pretreatment scan. Segmented features in the reference frame provide the basis for the localizedmore » block matching to determine the feature locations in the current frame. The boundary points of the reference frame segmentation are used as the initial locations for the block matching and NCC is used to find the most similar block in the current frame. The best matched block locations in the current frame comprise the updated feature boundary. The algorithm was tested using five features from two sets of ultrasound patient data obtained from MICCAI 2014 CLUST. Due to the lack of a training set associated with the image sequences, the first 200 frames of the image sets were considered a valid training set for preliminary testing, and tracking was performed over the remaining frames. Results: Tracking of the five vessel features resulted in an average tracking error of 1.21 mm relative to predefined annotations. The average analysis rate was 15.7 FPS with analysis for one of the two patients reaching real-time speeds. Computations were performed on an i5-3230M at 2.60 GHz. Conclusion: Preliminary tests show tracking errors comparable with similar algorithms at close to real-time speeds. Extension of the work onto a GPU platform has the potential to achieve real-time performance, making tracking for therapy applications a feasible option. This work is partially funded by NIH grant R01CA190298.« less
SeeCoast: persistent surveillance and automated scene understanding for ports and coastal areas
NASA Astrophysics Data System (ADS)
Rhodes, Bradley J.; Bomberger, Neil A.; Freyman, Todd M.; Kreamer, William; Kirschner, Linda; L'Italien, Adam C.; Mungovan, Wendy; Stauffer, Chris; Stolzar, Lauren; Waxman, Allen M.; Seibert, Michael
2007-04-01
SeeCoast is a prototype US Coast Guard port and coastal area surveillance system that aims to reduce operator workload while maintaining optimal domain awareness by shifting their focus from having to detect events to being able to analyze and act upon the knowledge derived from automatically detected anomalous activities. The automated scene understanding capability provided by the baseline SeeCoast system (as currently installed at the Joint Harbor Operations Center at Hampton Roads, VA) results from the integration of several components. Machine vision technology processes the real-time video streams provided by USCG cameras to generate vessel track and classification (based on vessel length) information. A multi-INT fusion component generates a single, coherent track picture by combining information available from the video processor with that from surface surveillance radars and AIS reports. Based on this track picture, vessel activity is analyzed by SeeCoast to detect user-defined unsafe, illegal, and threatening vessel activities using a rule-based pattern recognizer and to detect anomalous vessel activities on the basis of automatically learned behavior normalcy models. Operators can optionally guide the learning system in the form of examples and counter-examples of activities of interest, and refine the performance of the learning system by confirming alerts or indicating examples of false alarms. The fused track picture also provides a basis for automated control and tasking of cameras to detect vessels in motion. Real-time visualization combining the products of all SeeCoast components in a common operating picture is provided by a thin web-based client.
A secure mobile multimedia system to assist emergency response teams.
Belala, Yacine; Issa, Omneya; Gregoire, Jean-Charles; Wong, James
2008-08-01
Long wait times after injury and greater distances to travel between accident scenes and medical facilities contribute to increased, possibly unnecessary deaths. This paper describes a mobile emergency system aimed at reducing mortality by improving the readiness of hospital personnel, therefore allowing for more efficient treatment procedures to be performed when the victim arrives. The system is designed to provide a secure transmission of voice, medical data, and video in real-time over third-generation cellular networks. Test results obtained on a commercial network under real-life conditions demonstrate the ability to effectively transmit medical data over 3G networks, making them a viable option available to healthcare professionals.
Real-time, interactive animation of deformable two- and three-dimensional objects
Desbrun, Mathieu; Schroeder, Peter; Meyer, Mark; Barr, Alan H.
2003-06-03
A method of updating in real-time the locations and velocities of mass points of a two- or three-dimensional object represented by a mass-spring system. A modified implicit Euler integration scheme is employed to determine the updated locations and velocities. In an optional post-integration step, the updated locations are corrected to preserve angular momentum. A processor readable medium and a network server each tangibly embodying the method are also provided. A system comprising a processor in combination with the medium, and a system comprising the server in combination with a client for accessing the server over a computer network, are also provided.
ERIC Educational Resources Information Center
Cardenas-Claros, Monica Stella; Gruba, Paul A.
2013-01-01
This paper proposes a theoretical framework for the conceptualization and design of help options in computer-based second language (L2) listening. Based on four empirical studies, it aims at clarifying both conceptualization and design (CoDe) components. The elements of conceptualization consist of a novel four-part classification of help options:…
Web party effect: a cocktail party effect in the web environment
Gerbino, Walter
2015-01-01
In goal-directed web navigation, labels compete for selection: this process often involves knowledge integration and requires selective attention to manage the dizziness of web layouts. Here we ask whether the competition for selection depends on all web navigation options or only on those options that are more likely to be useful for information seeking, and provide evidence in favor of the latter alternative. Participants in our experiment navigated a representative set of real websites of variable complexity, in order to reach an information goal located two clicks away from the starting home page. The time needed to reach the goal was accounted for by a novel measure of home page complexity based on a part of (not all) web options: the number of links embedded within web navigation elements weighted by the number and type of embedding elements. Our measure fully mediated the effect of several standard complexity metrics (the overall number of links, words, images, graphical regions, the JPEG file size of home page screenshots) on information seeking time and usability ratings. Furthermore, it predicted the cognitive demand of web navigation, as revealed by the duration judgment ratio (i.e., the ratio of subjective to objective duration of information search). Results demonstrate that focusing on relevant links while ignoring other web objects optimizes the deployment of attentional resources necessary to navigation. This is in line with a web party effect (i.e., a cocktail party effect in the web environment): users tune into web elements that are relevant for the achievement of their navigation goals and tune out all others. PMID:25802803
Web party effect: a cocktail party effect in the web environment.
Rigutti, Sara; Fantoni, Carlo; Gerbino, Walter
2015-01-01
In goal-directed web navigation, labels compete for selection: this process often involves knowledge integration and requires selective attention to manage the dizziness of web layouts. Here we ask whether the competition for selection depends on all web navigation options or only on those options that are more likely to be useful for information seeking, and provide evidence in favor of the latter alternative. Participants in our experiment navigated a representative set of real websites of variable complexity, in order to reach an information goal located two clicks away from the starting home page. The time needed to reach the goal was accounted for by a novel measure of home page complexity based on a part of (not all) web options: the number of links embedded within web navigation elements weighted by the number and type of embedding elements. Our measure fully mediated the effect of several standard complexity metrics (the overall number of links, words, images, graphical regions, the JPEG file size of home page screenshots) on information seeking time and usability ratings. Furthermore, it predicted the cognitive demand of web navigation, as revealed by the duration judgment ratio (i.e., the ratio of subjective to objective duration of information search). Results demonstrate that focusing on relevant links while ignoring other web objects optimizes the deployment of attentional resources necessary to navigation. This is in line with a web party effect (i.e., a cocktail party effect in the web environment): users tune into web elements that are relevant for the achievement of their navigation goals and tune out all others.
Dynamic option pricing with endogenous stochastic arbitrage
NASA Astrophysics Data System (ADS)
Contreras, Mauricio; Montalva, Rodrigo; Pellicer, Rely; Villena, Marcelo
2010-09-01
Only few efforts have been made in order to relax one of the key assumptions of the Black-Scholes model: the no-arbitrage assumption. This is despite the fact that arbitrage processes usually exist in the real world, even though they tend to be short-lived. The purpose of this paper is to develop an option pricing model with endogenous stochastic arbitrage, capable of modelling in a general fashion any future and underlying asset that deviate itself from its market equilibrium. Thus, this investigation calibrates empirically the arbitrage on the futures on the S&P 500 index using transaction data from September 1997 to June 2009, from here a specific type of arbitrage called “arbitrage bubble”, based on a t-step function, is identified and hence used in our model. The theoretical results obtained for Binary and European call options, for this kind of arbitrage, show that an investment strategy that takes advantage of the identified arbitrage possibility can be defined, whenever it is possible to anticipate in relative terms the amplitude and timespan of the process. Finally, the new trajectory of the stock price is analytically estimated for a specific case of arbitrage and some numerical illustrations are developed. We find that the consequences of a finite and small endogenous arbitrage not only change the trajectory of the asset price during the period when it started, but also after the arbitrage bubble has already gone. In this context, our model will allow us to calibrate the B-S model to that new trajectory even when the arbitrage already started.
The use of UNIX in a real-time environment
NASA Technical Reports Server (NTRS)
Luken, R. D.; Simons, P. C.
1986-01-01
This paper describes a project to evaluate the feasibility of using commercial off-the-shelf hardware and the UNIX operating system, to implement a real-time control and monitor system. A functional subset of the Checkout, Control and Monitor System was chosen as the test bed for the project. The project consists of three separate architecture implementations: a local area bus network, a star network, and a central host. The motivation for this project stemmed from the need to find a way to implement real-time systems, without the cost burden of developing and maintaining custom hardware and unique software. This has always been accepted as the only option because of the need to optimize the implementation for performance. However, with the cost/performance of today's hardware, the inefficiencies of high-level languages and portable operating systems can be effectively overcome.
Options for pricing ancillary services in a deregulated power system
NASA Astrophysics Data System (ADS)
Yamin, Hatim Yahya
2001-07-01
GENCOs in restructured systems are compensated for selling energy in the market. In a restructured market, a mechanism is required to entice participants in the market to provide ancillary services and to ensure adequate compensation that would guarantee its economic viability. The ISO controls the dispatch of generation, manages the reliability of the transmission grid, provides open access to the transmission, buys and provides ancillary services as required, coordinates day-ahead, hour-ahead schedules and performs real time balancing of load and generation, settles real time imbalances and ancillary services sales and purchases. The ISO, also, administers congestion management protocols for the transmission grid. Since the ISO does not own any generating units it must ensure that there is enough reserves for maintaining reliability according to FERC regulations, and sufficient unloaded generating capacity for balancing services in a real-time market. The ISO could meet these requirements by creating a competitive market for ancillary services, which are metered and remain unbundled to provide an accurate compensation for each supplier and cost to each consumer, In this study, we give an overview for restructuring and ancillary services in a restructured power marketplace. Also, we discuss the effect of GENCOs' actions in the competitive energy and ancillary service markets. In addition, we propose an auction market design for hedging ancillary service costs in California market. Furthermore, we show how to include the n-1 and voltage contingencies in security constrained unit commitment. Finally, we present two approaches for GENCOs' unit commitment in a restructured power market; one is based on game theory and the other is based on market price forecasting. In each of the two GENCOs' unit commitment approaches, we discuss the GENCOs' optimal bidding strategies in energy and ancillary service markets to maximize the GENCOs' profit.
Network-Based Real-time Integrated Fire Detection and Alarm (FDA) System with Building Automation
NASA Astrophysics Data System (ADS)
Anwar, F.; Boby, R. I.; Rashid, M. M.; Alam, M. M.; Shaikh, Z.
2017-11-01
Fire alarm systems have become increasingly an important lifesaving technology in many aspects, such as applications to detect, monitor and control any fire hazard. A large sum of money is being spent annually to install and maintain the fire alarm systems in buildings to protect property and lives from the unexpected spread of fire. Several methods are already developed and it is improving on a daily basis to reduce the cost as well as increase quality. An integrated Fire Detection and Alarm (FDA) systems with building automation was studied, to reduce cost and improve their reliability by preventing false alarm. This work proposes an improved framework for FDA system to ensure a robust intelligent network of FDA control panels in real-time. A shortest path algorithmic was chosen for series of buildings connected by fiber optic network. The framework shares information and communicates with each fire alarm panels connected in peer to peer configuration and declare the network state using network address declaration from any building connected in network. The fiber-optic connection was proposed to reduce signal noises, thus increasing large area coverage, real-time communication and long-term safety. Based on this proposed method an experimental setup was designed and a prototype system was developed to validate the performance in practice. Also, the distributed network system was proposed to connect with an optional remote monitoring terminal panel to validate proposed network performance and ensure fire survivability where the information is sequentially transmitted. The proposed FDA system is different from traditional fire alarm and detection system in terms of topology as it manages group of buildings in an optimal and efficient manner.Introduction
Röder, Martin; Vieths, Stefan; Holzhauser, Thomas
2011-01-24
Currently, causative immunotherapies are lacking in food allergy. The only option to prevent allergic reactions in susceptible individuals is to strictly avoid the offending food. Thus, reliable labelling of allergenic constituents is of major importance, but can only be achieved if appropriate specific and sensitive detection techniques for foods with allergenic potential are available. Almond is an allergenic food that requires mandatory labelling on prepackaged foods and belongs to the genus Prunus. Species of this genus are phylogenetically closely related. We observed commercially available almond specific ELISA being highly cross-reactive with other foods of the Prunoideae family, resulting in a false-positive detection of up to 500,000 mg kg(-1) almond. Previously published PCR methods were reported to be cross-reactive with false positive results >1200 mg kg(-1). We describe the development of a novel almond specific real-time PCR, based on mutated mismatch primers and sequence specific Taqman(®) probe detection, in comparison with two quantitative commercially available ELISA. PCR sensitivity was investigated with chocolate, chocolate coating and cookies spiked between 5 and 100,000 mg kg(-1) almond. In all matrices almond was reproducibly detected by real-time PCR at the lowest spike level of 5 mg kg(-1). Further, between 100 and 100,000 mg kg(-1) spiked almond, the method featured good correlation between quantified copy numbers and the amount of spiked almond. Within this range a similar relation between detectable signal and amount of almond was observed for both PCR and ELISA. In contrast to ELISA the Taqman(®) real-time PCR method was highly specific in 59 food items with negligible cross-reactivity for a very limited number of Prunoideae foods. The real-time PCR analysis of 24 retail samples was in concordance with ELISA results: 21% (n=5) contained undeclared almond. This is the first completely disclosed real-time PCR method for a specific and potentially quantitative almond detection. This PCR method detects almond at a level where severe allergic reactions should not be expected for the majority of the almond allergic individuals. Copyright © 2010 Elsevier B.V. All rights reserved.
The use of integrated focal plane array technologies in laser microsatellite networks
NASA Astrophysics Data System (ADS)
Arnon, Shlomi
2004-10-01
Clustering micro satellites in cooperative fly formation constellations leads to high-performance space systems. The only way to achieve high-speed communication between the satellites is by a laser beam with a narrow divergence angle. In order to make the communication successful three types of focal plane detector arrays are required in the communication terminal: acquisition, tracking and communication detector arrays. The acquisition detector array is used to acquire the neighbor satellite using a wide field-of-view telescope. The tracking detector provides fast, real time and accurate direction location of the neighbor satellite. Based on the information from the acquisition and tracking detectors the receiver and transmitter maintain line of sight. The development of large, fast and very sensitive focal plane detector arrays makes it possible to implement the acquisition, tracking and communication with only one focal plane detector array. By doing so it is possible to reduce dramatically the size, weight, and cost of the optics and electronics which leads to lightweight communication terminals. As a result, the satellites are smaller and lighter, which reduces the space mission cost and increases the booster efficiency. In this paper we will present an overview of the concept of integrated focal plane arrays for laser satellite communication. We also present simulation results based on real system parameters and compare different implementation options.
Automatic Detection of Electric Power Troubles (ADEPT)
NASA Technical Reports Server (NTRS)
Wang, Caroline; Zeanah, Hugh; Anderson, Audie; Patrick, Clint; Brady, Mike; Ford, Donnie
1988-01-01
ADEPT is an expert system that integrates knowledge from three different suppliers to offer an advanced fault-detection system, and is designed for two modes of operation: real-time fault isolation and simulated modeling. Real time fault isolation of components is accomplished on a power system breadboard through the Fault Isolation Expert System (FIES II) interface with a rule system developed in-house. Faults are quickly detected and displayed and the rules and chain of reasoning optionally provided on a Laser printer. This system consists of a simulated Space Station power module using direct-current power supplies for Solar arrays on three power busses. For tests of the system's ability to locate faults inserted via switches, loads are configured by an INTEL microcomputer and the Symbolics artificial intelligence development system. As these loads are resistive in nature, Ohm's Law is used as the basis for rules by which faults are located. The three-bus system can correct faults automatically where there is a surplus of power available on any of the three busses. Techniques developed and used can be applied readily to other control systems requiring rapid intelligent decisions. Simulated modelling, used for theoretical studies, is implemented using a modified version of Kennedy Space Center's KATE (Knowledge-Based Automatic Test Equipment), FIES II windowing, and an ADEPT knowledge base. A load scheduler and a fault recovery system are currently under development to support both modes of operation.
Automatic Detection of Electric Power Troubles (ADEPT)
NASA Technical Reports Server (NTRS)
Wang, Caroline; Zeanah, Hugh; Anderson, Audie; Patrick, Clint; Brady, Mike; Ford, Donnie
1988-01-01
Automatic Detection of Electric Power Troubles (A DEPT) is an expert system that integrates knowledge from three different suppliers to offer an advanced fault-detection system. It is designed for two modes of operation: real time fault isolation and simulated modeling. Real time fault isolation of components is accomplished on a power system breadboard through the Fault Isolation Expert System (FIES II) interface with a rule system developed in-house. Faults are quickly detected and displayed and the rules and chain of reasoning optionally provided on a laser printer. This system consists of a simulated space station power module using direct-current power supplies for solar arrays on three power buses. For tests of the system's ablilty to locate faults inserted via switches, loads are configured by an INTEL microcomputer and the Symbolics artificial intelligence development system. As these loads are resistive in nature, Ohm's Law is used as the basis for rules by which faults are located. The three-bus system can correct faults automatically where there is a surplus of power available on any of the three buses. Techniques developed and used can be applied readily to other control systems requiring rapid intelligent decisions. Simulated modeling, used for theoretical studies, is implemented using a modified version of Kennedy Space Center's KATE (Knowledge-Based Automatic Test Equipment), FIES II windowing, and an ADEPT knowledge base.
Fredholm, Daniel V; Coleman, James K; Childress, April L; Wellehan, James F X
2015-03-01
Agamid adenovirus 1 (AgAdv-1) is a significant cause of disease in bearded dragons (Pogona sp.). Clinical manifestations of AgAdv-1 infection are variable and often nonspecific; the manifestations range from lethargy, weight loss, and inappetence, to severe enteritis, hepatitis, and sudden death. Currently, diagnosis of AgAdv-1 infection is achieved through a single published method: standard nested polymerase chain reaction (nPCR) and sequencing. Standard nPCR with sequencing provides reliable sensitivity, specificity, and validation of PCR products. However, this process is comparatively expensive, laborious, and slow. Probe hybridization, as used in a TaqMan assay, represents the best option for validating PCR products aside from the time-consuming process of sequencing. This study developed a real-time PCR (qPCR) assay using a TaqMan probe-based assay, targeting a highly conserved region of the AgAdv-1 genome. Standard curves were generated, detection results were compared with the gold standard conventional PCR and sequencing assay, and limits of detection were determined. Additionally, the qPCR assay was run on samples known to be positive for AgAdv-1 and samples known to be positive for other adenoviruses. Based on the results of these evaluations, this assay allows for a less expensive, rapid, quantitative detection of AgAdv-1 in bearded dragons. © 2015 The Author(s).
Automatic Detection of Electric Power Troubles (ADEPT)
NASA Astrophysics Data System (ADS)
Wang, Caroline; Zeanah, Hugh; Anderson, Audie; Patrick, Clint; Brady, Mike; Ford, Donnie
1988-11-01
Automatic Detection of Electric Power Troubles (A DEPT) is an expert system that integrates knowledge from three different suppliers to offer an advanced fault-detection system. It is designed for two modes of operation: real time fault isolation and simulated modeling. Real time fault isolation of components is accomplished on a power system breadboard through the Fault Isolation Expert System (FIES II) interface with a rule system developed in-house. Faults are quickly detected and displayed and the rules and chain of reasoning optionally provided on a laser printer. This system consists of a simulated space station power module using direct-current power supplies for solar arrays on three power buses. For tests of the system's ablilty to locate faults inserted via switches, loads are configured by an INTEL microcomputer and the Symbolics artificial intelligence development system. As these loads are resistive in nature, Ohm's Law is used as the basis for rules by which faults are located. The three-bus system can correct faults automatically where there is a surplus of power available on any of the three buses. Techniques developed and used can be applied readily to other control systems requiring rapid intelligent decisions. Simulated modeling, used for theoretical studies, is implemented using a modified version of Kennedy Space Center's KATE (Knowledge-Based Automatic Test Equipment), FIES II windowing, and an ADEPT knowledge base.
Synchrotron x-ray imaging of pulmonary alveoli in respiration in live intact mice
NASA Astrophysics Data System (ADS)
Chang, Soeun; Kwon, Namseop; Kim, Jinkyung; Kohmura, Yoshiki; Ishikawa, Tetsuya; Rhee, Chin Kook; Je, Jung Ho; Tsuda, Akira
2015-03-01
Despite nearly a half century of studies, it has not been fully understood how pulmonary alveoli, the elementary gas exchange units in mammalian lungs, inflate and deflate during respiration. Understanding alveolar dynamics is crucial for treating patients with pulmonary diseases. In-vivo, real-time visualization of the alveoli during respiration has been hampered by active lung movement. Previous studies have been therefore limited to alveoli at lung apices or subpleural alveoli under open thorax conditions. Here we report direct and real-time visualization of alveoli of live intact mice during respiration using tracking X-ray microscopy. Our studies, for the first time, determine the alveolar size of normal mice in respiration without positive end expiratory pressure as 58 +/- 14 (mean +/- s.d.) μm on average, accurately measured in the lung bases as well as the apices. Individual alveoli of normal lungs clearly show heterogeneous inflation from zero to ~25% (6.7 +/- 4.7% (mean +/- s.d.)) in size. The degree of inflation is higher in the lung bases (8.7 +/- 4.3% (mean +/- s.d.)) than in the apices (5.7 +/- 3.2% (mean +/- s.d.)). The fraction of the total tidal volume allocated for alveolar inflation is 34 +/- 3.8% (mean +/- s.e.m). This study contributes to the better understanding of alveolar dynamics and helps to develop potential treatment options for pulmonary diseases.
Constructing Temporally Extended Actions through Incremental Community Detection
Li, Ge
2018-01-01
Hierarchical reinforcement learning works on temporally extended actions or skills to facilitate learning. How to automatically form such abstraction is challenging, and many efforts tackle this issue in the options framework. While various approaches exist to construct options from different perspectives, few of them concentrate on options' adaptability during learning. This paper presents an algorithm to create options and enhance their quality online. Both aspects operate on detected communities of the learning environment's state transition graph. We first construct options from initial samples as the basis of online learning. Then a rule-based community revision algorithm is proposed to update graph partitions, based on which existing options can be continuously tuned. Experimental results in two problems indicate that options from initial samples may perform poorly in more complex environments, and our presented strategy can effectively improve options and get better results compared with flat reinforcement learning. PMID:29849543
Uncertainty plus prior equals rational bias: an intuitive Bayesian probability weighting function.
Fennell, John; Baddeley, Roland
2012-10-01
Empirical research has shown that when making choices based on probabilistic options, people behave as if they overestimate small probabilities, underestimate large probabilities, and treat positive and negative outcomes differently. These distortions have been modeled using a nonlinear probability weighting function, which is found in several nonexpected utility theories, including rank-dependent models and prospect theory; here, we propose a Bayesian approach to the probability weighting function and, with it, a psychological rationale. In the real world, uncertainty is ubiquitous and, accordingly, the optimal strategy is to combine probability statements with prior information using Bayes' rule. First, we show that any reasonable prior on probabilities leads to 2 of the observed effects; overweighting of low probabilities and underweighting of high probabilities. We then investigate 2 plausible kinds of priors: informative priors based on previous experience and uninformative priors of ignorance. Individually, these priors potentially lead to large problems of bias and inefficiency, respectively; however, when combined using Bayesian model comparison methods, both forms of prior can be applied adaptively, gaining the efficiency of empirical priors and the robustness of ignorance priors. We illustrate this for the simple case of generic good and bad options, using Internet blogs to estimate the relevant priors of inference. Given this combined ignorant/informative prior, the Bayesian probability weighting function is not only robust and efficient but also matches all of the major characteristics of the distortions found in empirical research. PsycINFO Database Record (c) 2012 APA, all rights reserved.
Battlefield decision aid for acoustical ground sensors with interface to meteorological data sources
NASA Astrophysics Data System (ADS)
Wilson, D. Keith; Noble, John M.; VanAartsen, Bruce H.; Szeto, Gregory L.
2001-08-01
The performance of acoustical ground sensors depends heavily on the local atmospheric and terrain conditions. This paper describes a prototype physics-based decision aid, called the Acoustic Battlefield Aid (ABFA), for predicting these environ-mental effects. ABFA integrates advanced models for acoustic propagation, atmospheric structure, and array signal process-ing into a convenient graphical user interface. The propagation calculations are performed in the frequency domain on user-definable target spectra. The solution method involves a parabolic approximation to the wave equation combined with a ter-rain diffraction model. Sensor performance is characterized with Cramer-Rao lower bounds (CRLBs). The CRLB calcula-tions include randomization of signal energy and wavefront orientation resulting from atmospheric turbulence. Available performance characterizations include signal-to-noise ratio, probability of detection, direction-finding accuracy for isolated receiving arrays, and location-finding accuracy for networked receiving arrays. A suite of integrated tools allows users to create new target descriptions from standard digitized audio files and to design new sensor array layouts. These tools option-ally interface with the ARL Database/Automatic Target Recognition (ATR) Laboratory, providing access to an extensive library of target signatures. ABFA also includes a Java-based capability for network access of near real-time data from sur-face weather stations or forecasts from the Army's Integrated Meteorological System. As an example, the detection footprint of an acoustical sensor, as it evolves over a 13-hour period, is calculated.
ERIC Educational Resources Information Center
Gomez-Arizaga, Maria P.; Bahar, A. Kadir; Maker, C. June; Zimmerman, Robert; Pease, Randal
2016-01-01
In this qualitative study the researchers explored children's perceptions of their participation in a science class in which an elementary science curriculum, the Full Option Science System (FOSS), was combined with an innovative teaching model, Real Engagement in Active Problem Solving (REAPS). The children were capable of articulating views…
National Centers for Environmental Prediction
the number of threads used. HWRF group cannot access Zeus and Jet for real-time data transfers from nodes used.). All single jobs will be run on one rack and will not share with parallel jobs. No official change the group when using tag_rstprod (-g option). autotag_rstprod is a script that tags all files. It
26 CFR 1.593-7 - Establishment and treatment of reserves for bad debts.
Code of Federal Regulations, 2010 CFR
2010-04-01
....593-10. (2) Bad debt losses. Any bad debt in respect of a nonqualifying loan shall be charged against the reserve for losses on nonqualifying loans, and any bad debt in respect of a qualifying real... option of the taxpayer, however, any bad debt in respect of either class of loans may be charged in whole...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-05-06
... Service Available to Non-Professionals and To Establish an Optional Non-Display Usage Cap for Internal... a $1 per month fee for non- professional use of real-time quotation and order information from the.... (3) Free-Trial Offers (A)-(B) No change. (b) Non-Professional Services (1) The charge to be paid by...
ERIC Educational Resources Information Center
Baeza-Baeza, Juan J.; Garcia-Alvarez-Coque, M. Celia
2012-01-01
A general systematic approach including ionic strength effects is proposed for the numerical calculation of concentrations of chemical species in multiequilibrium problems. This approach extends the versatility of the approach presented in a previous article and is applied using the Solver option of the Excel spreadsheet to solve real problems…
Quick Facts about Financial Aid and Community Colleges, 2007-08
ERIC Educational Resources Information Center
Institute for College Access & Success, 2009
2009-01-01
Community colleges are usually considered a low-cost college option, but the sticker price is only part of the real story--students often struggle to cover a range of related costs and living expenses. Financial aid can be a big help, but many community college students have a harder time paying for college than their peers at four-year schools.…
2009-03-01
infrared, thermal , or night vision applications. Understanding the true capabilities and limitations of the ALAN camera and its applicability to a...an option to more expensive infrared, thermal , or night vision applications. Ultimately, it will be clear whether the configuration of the Kestrel...45 A. THERMAL CAMERAS................................................................................45 1
Federal Register 2010, 2011, 2012, 2013, 2014
2012-08-08
.... (``Bloomberg''), FactSet Research Systems, Inc. (``FactSet'') and Thomson Reuters (``Reuters''). Real time data... reasonably related to the current value of the underlying index at the time such series are first opened for... to which such series relates at or about the time such series of options is first opened for trading...
Development of precursors recognition methods in vector signals
NASA Astrophysics Data System (ADS)
Kapralov, V. G.; Elagin, V. V.; Kaveeva, E. G.; Stankevich, L. A.; Dremin, M. M.; Krylov, S. V.; Borovov, A. E.; Harfush, H. A.; Sedov, K. S.
2017-10-01
Precursor recognition methods in vector signals of plasma diagnostics are presented. Their requirements and possible options for their development are considered. In particular, the variants of using symbolic regression for building a plasma disruption prediction system are discussed. The initial data preparation using correlation analysis and symbolic regression is discussed. Special attention is paid to the possibility of using algorithms in real time.
Flexible engineering designs for urban water management in Lusaka, Zambia.
Tembo, Lucy; Pathirana, Assela; van der Steen, Peter; Zevenbergen, Chris
2015-01-01
Urban water systems are often designed using deterministic single values as design parameters. Subsequently the different design alternatives are compared using a discounted cash flow analysis that assumes that all parameters remain as-predicted for the entire project period. In reality the future is unknown and at best a possible range of values for design parameters can be estimated. A Monte Carlo simulation could then be used to calculate the expected Net Present Value of project alternatives, as well as so-called target curves (cumulative frequency distribution of possible Net Present Values). The same analysis could be done after flexibilities were incorporated in the design, either by using decision rules to decide about the moment of capacity increase, or by buying Real Options (in this case land) to cater for potential capacity increases in the future. This procedure was applied to a sanitation and wastewater treatment case in Lusaka, Zambia. It included various combinations of on-site anaerobic baffled reactors and off-site waste stabilisation ponds. For the case study, it was found that the expected net value of wastewater treatment systems can be increased by 35-60% by designing a small flexible system with Real Options, rather than a large inflexible system.
Using real options to evaluate the flexibility in the deployment of SMR
DOE Office of Scientific and Technical Information (OSTI.GOV)
Locatelli, G.; Mancini, M.; Ruiz, F.
2012-07-01
According to recent estimations the financial gap between Large Reactors (LR) and Small Medium Reactors (SMRs) seems not as huge as the economy of scale would suggest, so the SMRs are going to be important players of the worldwide nuclear renaissance. POLIMIs INCAS model has been developed to compare the investment in SMR with respect to LR. It provides the value of IRR (Internal Rate of Return), NPV (Net Present Value), LUEC (Levelized Unitary Electricity Cost), up-front investment, etc. The aim of this research is to integrate the actual INCAS model, based on discounted cash flows, with the real optionmore » theory to measure flexibility of the investor to expand, defer or abandon a nuclear project, under future uncertainties. The work compares the investment in a large nuclear power plant with a series of smaller, modular nuclear power plants on the same site. As a consequence it compares the benefits of the large power plant, coming from the economy of scale, to the benefit of the modular project (flexibility) concluding that managerial flexibility can be measured and used by an investor to face the investment risks. (authors)« less
Bilgilier, Ceren; Simonitsch-Klupp, Ingrid; Kiesewetter, Barbara; Raderer, Markus; Dolak, Werner; Makristathis, Athanasios; Steininger, Christoph
2016-06-01
Gastric MALT lymphoma is closely associated with Helicobacter pylori infection. Bacterial eradication therapy comprising clarithromycin is the first-line treatment in gastric MALT lymphoma patients. However, antimicrobial resistance to clarithromycin has been increasing in Europe, and thus far, it has not been examined in gastric MALT lymphoma patients. Based upon histopathological investigation, 17 adult gastric MALT lymphoma patients were identified to be related with H. pylori infection between 1997 and 2014. Detection of H. pylori infection in these patients and clarithromycin susceptibility testing were performed by 23S rRNA gene real-time PCR. Twelve of the patients were confirmed with H. pylori infection by real-time PCR. Among these patients, only two were found to be infected with clarithromycin-resistant H. pylori strain. In one of them, both the clarithromycin-resistant and sensitive genotype were detected. The rate of clarithromycin resistance was 15.4 %. Clarithromycin resistance pattern in gastric MALT lymphoma patients is under the predictions since a previous study performed in Central Europe revealed a rate of 36.6 % in Austria. Considering the low antimicrobial resistance rate, clarithromycin is still an option in gastric MALT lymphoma management.
Essays on oil price volatility and irreversible investment
NASA Astrophysics Data System (ADS)
Pastor, Daniel J.
In chapter 1, we provide an extensive and systematic evaluation of the relative forecasting performance of several models for the volatility of daily spot crude oil prices. Empirical research over the past decades has uncovered significant gains in forecasting performance of Markov Switching GARCH models over GARCH models for the volatility of financial assets and crude oil futures. We find that, for spot oil price returns, non-switching models perform better in the short run, whereas switching models tend to do better at longer horizons. In chapter 2, I investigate the impact of volatility on firms' irreversible investment decisions using real options theory. Cost incurred in oil drilling is considered sunk cost, thus irreversible. I collect detailed data on onshore, development oil well drilling on the North Slope of Alaska from 2003 to 2014. Volatility is modeled by constructing GARCH, EGARCH, and GJR-GARCH forecasts based on monthly real oil prices, and realized volatility from 5-minute intraday returns of oil futures prices. Using a duration model, I show that oil price volatility generally has a negative relationship with the hazard rate of drilling an oil well both when aggregating all the fields, and in individual fields.
Fu, Wei; Xie, Wen; Zhang, Zhuo; Wang, Shaoli; Wu, Qingjun; Liu, Yong; Zhou, Xiaomao; Zhou, Xuguo; Zhang, Youjun
2013-01-01
Abstract: Quantitative real-time PCR (qRT-PCR), a primary tool in gene expression analysis, requires an appropriate normalization strategy to control for variation among samples. The best option is to compare the mRNA level of a target gene with that of reference gene(s) whose expression level is stable across various experimental conditions. In this study, expression profiles of eight candidate reference genes from the diamondback moth, Plutella xylostella, were evaluated under diverse experimental conditions. RefFinder, a web-based analysis tool, integrates four major computational programs including geNorm, Normfinder, BestKeeper, and the comparative ΔCt method to comprehensively rank the tested candidate genes. Elongation factor 1 (EF1) was the most suited reference gene for the biotic factors (development stage, tissue, and strain). In contrast, although appropriate reference gene(s) do exist for several abiotic factors (temperature, photoperiod, insecticide, and mechanical injury), we were not able to identify a single universal reference gene. Nevertheless, a suite of candidate reference genes were specifically recommended for selected experimental conditions. Our finding is the first step toward establishing a standardized qRT-PCR analysis of this agriculturally important insect pest. PMID:23983612
Economics of Utility Scale Photovoltaics at Purdue University
NASA Astrophysics Data System (ADS)
Arnett, William
The research for this case study shows that utility scale solar photovoltaics has become a competitive energy investment option, even when a campus operates a power plant at low electricity rates. To evaluate this an economic model called SEEMS (Solar Economic Evaluation Modelling Spreadsheets) was developed to evaluate a number of financial scenarios in Real Time Pricing for universities. The three main financing structures considered are 1) land leasing, 2) university direct purchase, and 3) third party purchase. Unlike other commercially available models SEEMS specifically accounts for real time pricing, where the local utility provides electricity at an hourly rate that changes with the expected demand. In addition, SEEMS also includes a random simulation that allows the model to predict the likelihood of success for a given solar installation strategy. The research showed that there are several options for utility scale solar that are financially attractive. The most practical financing structure is with a third party partnership because of the opportunity to take advantage of tax incentives. Other options could become more attractive if non-financial benefits are considered. The case study for this research, Purdue University, has a unique opportunity to integrate utility-scale solar electricity into its strategic planning. Currently Purdue is updating its master plan which will define how land is developed. Purdue is also developing a sustainability plan that will define long term environmental goals. In addition, the university is developing over 500 acres of land west of campus as part of its Aerospace Innovation District. This research helps make the case for including utility-scale solar electricity as part of the university's strategic planning.
Platano, Giacomo; Margraf, Jürgen; Alder, Judith; Bitzer, Johannes
2008-11-01
Male sexual dysfunction is a common medical condition, which is addressed mainly from a biomedical perspective by Swiss general practitioners (GPs) and urologists as the results of part I of our study showed. A psychosocial orientation in sexual history taking (SHT) leads to a truly patient-centered approach and is crucial for improving therapy decisions related to sexual dysfunction. To analyze to what extent Swiss GPs and urologists have a psychosocial orientation in SHT, and what therapeutic options they focus on when confronted with male sexual dysfunction. A semistructured interview was developed and used in face-to-face encounters with 25 GPs and 25 urologists. Content and frequency of interview responses. The GPs and urologists differed significantly from each other in 5 out of 22 psychosocial factors. Summarizing these psychosocial factors in four domains showed a difference between the GPs and urologists in only one domain. Both groups focus on an open conversation as their approach in SHT. No GP and only a minority of urologists based their diagnosis on criteria of the International Classification of Diseases (10th edition) (ICD-10) or Diagnostic and Statistical Manual of Mental Disorders (4th edition) (DSM-IV). The GPs and urologists differed significantly from each other in 4 out of 16 combinations resulting from the given therapeutic options and form of sexual dysfunction. The urologists focus more strongly on medication as a therapeutic option. The results of part II additionally justify establishing guidelines and training resources related to SHT in Switzerland. Swiss physicians should be encouraged to apply a more psychosocial orientation in SHT. This will contribute to a better patient-centered approach with positive consequences on physicians' therapeutic decisions. Optimizing the approach in SHT and the choice of therapeutic options may better facilitate real sexual satisfaction for the patient and ultimately result in fewer health insurance costs.
NASA Astrophysics Data System (ADS)
Ueda, Keiichi; Kurahashi, Setsuya
2018-02-01
The continuous development of the service economy and an aging society with fewer children is expected to lead to a shortage of workers in the near future. In addition, the growth of the service economy would require service providers to meet various service requirements. In this regard, self-service technology (SST) is a promising alternative to securing labor in both developed and emerging countries. SST is expected to coordinate the controllable productive properties in order to optimize resources and minimize consumer stress. As services are characterized by simultaneity and inseparability, a smoother operation in cooperation with the consumer is required to provide a certain level of service. This study focuses on passenger handling in an airport departure lobby with the objective of optimizing multiple service resources comprising interpersonal service staff and self-service kiosks. Our aim is to elucidate the passenger decision- making mechanism of choosing either interpersonal service or self-service as the check-in option, and to apply it to analyze several scenarios to determine the best practice. The experimental space is studied and an agent-based model is proposed to analyze the operational efficiency via a simulation. We expand on a previous SST adoption model, which is enhanced by introducing the concept of individual traits. We focus on the decision-making of individuals who are neutral toward the service option, by tracking the actual activity of passengers and mapping their behavior into the model. A new method of validation that follows a different approach is proposed to ensure that this model approximates real-world situations. A scenario analysis is then carried out with the aim of exploring the best operational practice to minimize the stress experienced by the air travelers and to meet the business needs of the airline managers at the airport. We collected actual data from the Departure Control System of an airline to map the real-world data to the proposed model. Passenger behavior was extracted by front-line service experts and clarified through consecutive on-site observations.
48 CFR 552.217-70 - Evaluation of Options.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Evaluation of Options. 552... Evaluation of Options. As prescribed in 517.208(a), insert the following provision: Evaluation of Options... period price. When option year pricing is based on a formula (e.g., changes in the Producer Price Index...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-03
... commodities or commodity futures, options on commodities, or other commodity derivatives or Commodity-Based... options or other derivatives on any of the foregoing; or (b) interest rate futures or options or... derivatives on any of the foregoing; or (b) interest rate futures or options or derivatives on the foregoing...
Many-objective optimization and visual analytics reveal key trade-offs for London's water supply
NASA Astrophysics Data System (ADS)
Matrosov, Evgenii S.; Huskova, Ivana; Kasprzyk, Joseph R.; Harou, Julien J.; Lambert, Chris; Reed, Patrick M.
2015-12-01
In this study, we link a water resource management simulator to multi-objective search to reveal the key trade-offs inherent in planning a real-world water resource system. We consider new supplies and demand management (conservation) options while seeking to elucidate the trade-offs between the best portfolios of schemes to satisfy projected water demands. Alternative system designs are evaluated using performance measures that minimize capital and operating costs and energy use while maximizing resilience, engineering and environmental metrics, subject to supply reliability constraints. Our analysis shows many-objective evolutionary optimization coupled with state-of-the art visual analytics can help planners discover more diverse water supply system designs and better understand their inherent trade-offs. The approach is used to explore future water supply options for the Thames water resource system (including London's water supply). New supply options include a new reservoir, water transfers, artificial recharge, wastewater reuse and brackish groundwater desalination. Demand management options include leakage reduction, compulsory metering and seasonal tariffs. The Thames system's Pareto approximate portfolios cluster into distinct groups of water supply options; for example implementing a pipe refurbishment program leads to higher capital costs but greater reliability. This study highlights that traditional least-cost reliability constrained design of water supply systems masks asset combinations whose benefits only become apparent when more planning objectives are considered.
Centralized vs decentralized lunar power system study
NASA Astrophysics Data System (ADS)
Metcalf, Kenneth; Harty, Richard B.; Perronne, Gerald E.
1991-09-01
Three power-system options are considered with respect to utilization on a lunar base: the fully centralized option, the fully decentralized option, and a hybrid comprising features of the first two options. Power source, power conditioning, and power transmission are considered separately, and each architecture option is examined with ac and dc distribution, high and low voltage transmission, and buried and suspended cables. Assessments are made on the basis of mass, technological complexity, cost, reliability, and installation complexity, however, a preferred power-system architecture is not proposed. Preferred options include transmission based on ac, transmission voltages of 2000-7000 V with buried high-voltage lines and suspended low-voltage lines. Assessments of the total cost associated with the installations are required to determine the most suitable power system.
Support Air and Space Expeditionary Forces. Analysis of Combat Support Basing Options
2004-01-01
Mahyar A . Amouzegar, Robert S. Tripp, Ronald G. McGarve Edward W Chan C. Robert Roll, Jr. _77 Ap L_ L; Reý PROJECT AIR FORCE - Supporting Air and Space...Expeditionary Forces Analysis of Combat Support Basing Options Mahyar A . Amouzegar Robert S. Tripp Ronald G. McGarvey Edward W. Chan C. Robert Roll...support basing options / Mahyar A . Amouzegar ... [et al. p. cm. "’MG-261." Indudes bibliographical references. ISBN 0-8330-3675-0 (pbk.) 1. Air bases
Federal Register 2010, 2011, 2012, 2013, 2014
2010-06-04
... financial products such as securities index options, index futures, and options on index futures to be... futures, options on S&P 500 futures or any other instrument that tracks the performance of or is based on... 24.4.05(A). These definitions would allow financial products such as ETF options, index futures...
From cookies to carrots; the effect of inhibitory control training on children's snack selections.
Porter, L; Bailey-Jones, C; Priudokaite, G; Allen, S; Wood, K; Stiles, K; Parvin, O; Javaid, M; Verbruggen, F; Lawrence, N S
2018-05-01
Children consume too much sugar and not enough fruit and vegetables, increasing their risk of adverse health outcomes. Inhibitory control training (ICT) reduces children's and adults' intake of energy-dense foods in both laboratory and real-life settings. However, no studies have yet examined whether ICT can increase healthy food choice when energy-dense options are also available. We investigated whether a food-specific Go/No-Go task could influence the food choices of children aged 4-11, as measured by a hypothetical food choice task using healthy and unhealthy food images printed on cards. Participants played either an active game (healthy foods = 100% go, unhealthy foods = 100% no-go; Studies 1 & 2), a food control game (both healthy and unhealthy foods = 50% go, 50% no-go; Studies 1 & 2) or a non-food control game (sports equipment = 100% go, technology = 100% no-go; Study 2 only) followed by the choice task. In Study 2, food card choices were also measured before training to examine change in choices. A post-training real food choice task was added to check that choices made in the card-based task were representative of choices made when faced with real healthy and unhealthy foods. Overall, the active group chose the greatest number of healthy food cards. Study 2 confirmed that this was due to increases in healthy food card choice in this group only. Active group participants chose a greater number of healthy foods in the real food choice task compared to children in the non-food control group only. The results are discussed with reference to methodological issues and the development of future healthy eating interventions. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.
Lwin, Zarnie; Riess, Jonathan W; Gandara, David
2013-10-01
There have been remarkable advances in the targeted treatment of advanced non-small cell lung cancer (NSCLC) over the past several years. Survival outcomes are steadily improving as management paradigms shift in the diagnosis and treatment of advanced NSCLC. Customizing treatment based on histology and molecular typing has become a standard of care in this era of targeted therapy. While new chemotherapeutic agents have proven effective, the pivotal role of platinum-based chemotherapy doublets has been confirmed. Maintenance chemotherapy has become an option, but who to employ it in remains unclear in the real-world setting. Efforts to overcome resistance to targeted agents are ongoing utilizing combination regimens of chemotherapy plus targeted agents, but optimizing combination strategies needs further exploration. This review highlights recent developments in novel chemotherapeutics and in chemotherapy strategies over the past two years. Despite advances in molecular medicine, there remains an essential role for chemotherapy in advanced NSCLC, even in the recent targeted therapy era.
Administrative and policy issues in reimbursement for nursing home capital investment.
Boerstler, H; Carlough, T; Schlenker, R E
1991-01-01
The way in which states reimburse for nursing home capital costs can create incentives for nursing home owners to use the home primarily as a vehicle for real estate speculation, with potentially adverse consequences for patient care. In order to help promote and control the stability, adequacy, and quality of capital investment in long-term care, an increasing number of states are using a fair-rental approach for calculating capital reimbursement. In this article we compare the fair-rental approach with traditional cost-based capital reimbursement in terms of administration and policy. We discuss issues of concern to the state (cost and reimbursement design options) and the investor (after-tax cash flows, rate of return, etc.). Our analysis suggests that fair-rental systems may be superior to traditional cost-based reimbursement in promoting and controlling industry stability, while at the same time providing an adequate return to investors, without incurring long-term increases in the costs of administering programs.
3D printing of optical materials: an investigation of the microscopic properties
NASA Astrophysics Data System (ADS)
Persano, Luana; Cardarelli, Francesco; Arinstein, Arkadii; Uttiya, Sureeporn; Zussman, Eyal; Pisignano, Dario; Camposeo, Andrea
2018-02-01
3D printing technologies are currently enabling the fabrication of objects with complex architectures and tailored properties. In such framework, the production of 3D optical structures, which are typically based on optical transparent matrices, optionally doped with active molecular compounds and nanoparticles, is still limited by the poor uniformity of the printed structures. Both bulk inhomogeneities and surface roughness of the printed structures can negatively affect the propagation of light in 3D printed optical components. Here we investigate photopolymerization-based printing processes by laser confocal microscopy. The experimental method we developed allows the printing process to be investigated in-situ, with microscale spatial resolution, and in real-time. The modelling of the photo-polymerization kinetics allows the different polymerization regimes to be investigated and the influence of process variables to be rationalized. In addition, the origin of the factors limiting light propagation in printed materials are rationalized, with the aim of envisaging effective experimental strategies to improve optical properties of printed materials.
Simulation Studies of Satellite Laser CO2 Mission Concepts
NASA Technical Reports Server (NTRS)
Kawa, Stephan Randy; Mao, J.; Abshire, J. B.; Collatz, G. J.; Sun X.; Weaver, C. J.
2011-01-01
Results of mission simulation studies are presented for a laser-based atmospheric CO2 sounder. The simulations are based on real-time carbon cycle process modeling and data analysis. The mission concept corresponds to ASCENDS as recommended by the US National Academy of Sciences Decadal Survey. Compared to passive sensors, active (lidar) sensing of CO2 from space has several potentially significant advantages that hold promise to advance CO2 measurement capability in the next decade. Although the precision and accuracy requirements remain at unprecedented levels of stringency, analysis of possible instrument technology indicates that such sensors are more than feasible. Radiative transfer model calculations, an instrument model with representative errors, and a simple retrieval approach complete the cycle from "nature" run to "pseudodata" CO2. Several mission and instrument configuration options are examined, and the sensitivity to key design variables is shown. Examples are also shown of how the resulting pseudo-measurements might be used to address key carbon cycle science questions.
Nitsche, Andreas; Ellerbrok, Heinz; Pauli, Georg
2004-01-01
Although variola virus was eradicated by the World Health Organization vaccination program in the 1970s, the diagnosis of smallpox infection has attracted great interest in the context of a possible deliberate release of variola virus in bioterrorist attacks. Obviously, fast and reliable diagnostic tools are required to detect variola virus and to distinguish it from orthopoxviruses that have identical morphological characteristics, including vaccinia virus. The advent of real-time PCR for the clinical diagnosis of viral infections has facilitated the detection of minute amounts of viral nucleic acids in a fast, safe, and precise manner, including the option to quantify and to genotype the target reliably. In this study a complete set of four hybridization probe-based real-time PCR assays for the specific detection of orthopoxvirus DNA is presented. Melting analysis following PCR enables the identification of variola virus by the PCR product's characteristic melting temperature, permitting the discrimination of variola virus from other orthopoxviruses. In addition, an assay for the specific amplification of variola virus DNA is presented. All assays can be performed simultaneously in the same cycler, and results of a PCR run are obtained in less than 1 h. The application of more than one assay for the same organism significantly contributes to the diagnostic reliability, reducing the risk of false-negative results due to unknown sequence variations. In conclusion, the assays presented will improve the speed and reliability of orthopoxvirus diagnostics and variola virus identification. PMID:15004077
NASA Astrophysics Data System (ADS)
Wee, Loo Kang; Tiang Ning, Hwee
2014-09-01
This paper presents the customization of Easy Java Simulation models, used with actual laboratory instruments, to create active experiential learning for measurements. The laboratory instruments are the vernier caliper and the micrometer. Three computer model design ideas that complement real equipment are discussed. These ideas involve (1) a simple two-dimensional view for learning from pen and paper questions and the real world; (2) hints, answers, different scale options and the inclusion of zero error; (3) assessment for learning feedback. The initial positive feedback from Singaporean students and educators indicates that these tools could be successfully shared and implemented in learning communities. Educators are encouraged to change the source code for these computer models to suit their own purposes; they have creative commons attribution licenses for the benefit of all.
Option pricing: Stock price, stock velocity and the acceleration Lagrangian
NASA Astrophysics Data System (ADS)
Baaquie, Belal E.; Du, Xin; Bhanap, Jitendra
2014-12-01
The industry standard Black-Scholes option pricing formula is based on the current value of the underlying security and other fixed parameters of the model. The Black-Scholes formula, with a fixed volatility, cannot match the market's option price; instead, it has come to be used as a formula for generating the option price, once the so called implied volatility of the option is provided as additional input. The implied volatility not only is an entire surface, depending on the strike price and maturity of the option, but also depends on calendar time, changing from day to day. The point of view adopted in this paper is that the instantaneous rate of return of the security carries part of the information that is provided by implied volatility, and with a few (time-independent) parameters required for a complete pricing formula. An option pricing formula is developed that is based on knowing the value of both the current price and rate of return of the underlying security which in physics is called velocity. Using an acceleration Lagrangian model based on the formalism of quantum mathematics, we derive the pricing formula for European call options. The implied volatility of the market can be generated by our pricing formula. Our option price is applied to foreign exchange rates and equities and the accuracy is compared with Black-Scholes pricing formula and with the market price.
NASA Technical Reports Server (NTRS)
Yates, Leslie A.
1993-01-01
The construction of interferograms, schlieren, and shadowgraphs from computed flowfield solutions permits one-to-one comparisons of computed and experimental results. A method of constructing these images from both ideal- and real-gas, two and three-dimensional computed flowfields is described. The computational grids can be structured or unstructured, and multiple grids are an option. Constructed images are shown for several types of computed flows including nozzle, wake, and reacting flows; comparisons to experimental images are also shown. In addition, th sensitivity of these images to errors in the flowfield solution is demonstrated, and the constructed images can be used to identify problem areas in the computations.
NASA Technical Reports Server (NTRS)
Yates, Leslie A.
1992-01-01
The construction of interferograms, schlieren, and shadowgraphs from computed flowfield solutions permits one-to-one comparisons of computed and experimental results. A method for constructing these images from both ideal- and real-gas, two- and three-dimensional computed flowfields is described. The computational grids can be structured or unstructured, and multiple grids are an option. Constructed images are shown for several types of computed flows including nozzle, wake, and reacting flows; comparisons to experimental images are also shown. In addition, the sensitivity of these images to errors in the flowfield solution is demonstrated, and the constructed images can be used to identify problem areas in the computations.
Delivering cost-effective care for COPD in the USA: recent progress and current challenges.
Breunig, Ian M; Shaya, Fadia T; Scharf, Steven M
2012-12-01
Chronic obstructive pulmonary disease (COPD) imposes a significant and growing economic burden on the US health care system. A brief exploration of reviews on the therapeutic management of COPD reveals a range of pharmacologic and nonpharmacologic options for reducing deleterious and costly exacerbations. Consensus is that both forms of therapy provide the greatest benefit to all patients. However, prescribing physicians must account for availability of resources and patients' ability to pay, as well as patient response and their likely persistence or adherence to recommended therapies. The ongoing challenge is to overcome barriers to comprehensive, real-world economic evaluations in order to establish the most cost-effective mix of therapies for every patient in the heterogeneous COPD population. Only then can evidence-based guidelines be translated into the most cost-effective delivery of care.
Fabregat, Jaime
2013-12-01
In Spain before the 1990s there was no clear and explicit comprehensive training for future engineers with regard to social responsibility and social commitment. Following the Spanish university curricular reform, which began in the early 1990s, a number of optional subjects became available to students, concerning science, technology and society (STS), international cooperation, the environment and sustainability. The latest redefinition of the Spanish curriculum in line with the Bologna agreements has reduced the number of non-obligatory subjects, but could lead to improving preparation for social responsibility due to the requirement that the design of curricula and the assessment of students should be based on competencies, some of which include human values and attitudes.
Yasaitis, Laura C; Arcaya, Mariana C; Subramanian, S V
2015-09-01
Creating local population health measures from administrative data would be useful for health policy and public health monitoring purposes. While a wide range of options--from simple spatial smoothers to model-based methods--for estimating such rates exists, there are relatively few side-by-side comparisons, especially not with real-world data. In this paper, we compare methods for creating local estimates of acute myocardial infarction rates from Medicare claims data. A Bayesian Monte Carlo Markov Chain estimator that incorporated spatial and local random effects performed best, followed by a method-of-moments spatial Empirical Bayes estimator. As the former is more complicated and time-consuming, spatial linear Empirical Bayes methods may represent a good alternative for non-specialist investigators. Copyright © 2015 Elsevier Ltd. All rights reserved.
Treatment Selection in Depression.
Cohen, Zachary D; DeRubeis, Robert J
2018-05-07
Mental health researchers and clinicians have long sought answers to the question "What works for whom?" The goal of precision medicine is to provide evidence-based answers to this question. Treatment selection in depression aims to help each individual receive the treatment, among the available options, that is most likely to lead to a positive outcome for them. Although patient variables that are predictive of response to treatment have been identified, this knowledge has not yet translated into real-world treatment recommendations. The Personalized Advantage Index (PAI) and related approaches combine information obtained prior to the initiation of treatment into multivariable prediction models that can generate individualized predictions to help clinicians and patients select the right treatment. With increasing availability of advanced statistical modeling approaches, as well as novel predictive variables and big data, treatment selection models promise to contribute to improved outcomes in depression.
Alvioli, M.; Baum, R.L.
2016-01-01
We describe a parallel implementation of TRIGRS, the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model for the timing and distribution of rainfall-induced shallow landslides. We have parallelized the four time-demanding execution modes of TRIGRS, namely both the saturated and unsaturated model with finite and infinite soil depth options, within the Message Passing Interface framework. In addition to new features of the code, we outline details of the parallel implementation and show the performance gain with respect to the serial code. Results are obtained both on commercial hardware and on a high-performance multi-node machine, showing the different limits of applicability of the new code. We also discuss the implications for the application of the model on large-scale areas and as a tool for real-time landslide hazard monitoring.
Management of immune thrombocytopenia: Korean experts recommendation in 2017.
Jang, Jun Ho; Kim, Ji Yoon; Mun, Yeung-Chul; Bang, Soo-Mee; Lim, Yeon Jung; Shin, Dong-Yeop; Choi, Young Bae; Yhim, Ho-Young; Lee, Jong Wook; Kook, Hoon
2017-12-01
Management options for patients with immune thrombocytopenia (ITP) have evolved substantially over the past decades. The American Society of Hematology published a treatment guideline for clinicians referring to the management of ITP in 2011. This evidence-based practice guideline for ITP enables the appropriate treatment of a larger proportion of patients and the maintenance of normal platelet counts. Korean authority operates a unified mandatory national health insurance system. Even though we have a uniform standard guideline enforced by insurance reimbursement, there are several unsolved issues in real practice in ITP treatment. To optimize the management of Korean ITP patients, the Korean Society of Hematology Aplastic Anemia Working Party (KSHAAWP) reviewed the consensus and the Korean data on the clinical practices of ITP therapy. Here, we report a Korean expert recommendation guide for the management of ITP.
NASA Astrophysics Data System (ADS)
Senkin, Sergey
2018-01-01
The ATLAS Collaboration has started a vast programme of upgrades in the context of high-luminosity LHC (HL-LHC) foreseen in 2024. We present here one of the frontend readout options, an ASIC called FATALIC, proposed for the high-luminosity phase LHC upgrade of the ATLAS Tile Calorimeter. Based on a 130 nm CMOS technology, FATALIC performs the complete signal processing, including amplification, shaping and digitisation. We describe the full characterisation of FATALIC and also the Optimal Filtering signal reconstruction method adapted to fully exploit the FATALIC three-range layout. Additionally we present the resolution performance of the whole chain measured using the charge injection system designed for calibration. Finally we discuss the results of the signal reconstruction used on real data collected during a preliminary beam test at CERN.
Smith, Rachel A.; Greenberg, Marisa; Parrott, Roxanne L.
2014-01-01
With a growing interest in using genetic information to motivate young adults’ health behaviors, audience segmentation is needed for effective campaign design. Using latent class analysis, this study identifies segments based on young adults’ (N = 327) beliefs about genetic threats to their health and personal efficacy over genetic influences on their health. A four-class model was identified. The model indicators fit the risk perception attitude framework (Rimal & Real, 2003), but the covariates (e.g., current health behaviors) did not. In addition, opinion leader qualities covaried with one profile: those in this profile engaged in fewer preventative behaviors and more dangerous treatment options, and also liked to persuade others, making them a particularly salient group for campaign efforts. The implications for adult-onset disorders, like alpha-1 antitrypsin deficiency are discussed. PMID:24111749
Naval Postgraduate School Aircraft Synthesis Program (User’s Manual)
1991-09-01
LOGICAL DVFLAG CHARACTER ANS*6, TITLE*80, PHASE*8 INTEGER EN REAL MACHI, M&CH2 DIMENSION ALTD(6), XM& CH (6) 6590 IF(DVFLAG.EQ. .FALSE.) THEN !GIVE OPTION TO...7800 7840 WRITE (6, 78 45) 7845 FORMAT(/7X,’ENTER THE HORIZONTAL TAIL/CANARD’/ &7X,’WEIGHT SLOPE: ’,$) READ(5,7826,ERR-7840) SLOPE(3) IF((SLOPE(3).LT
Acquisition Management for System of Systems: Affordability through Effective Portfolio Management
2013-04-01
the management of strategic “ portfolios of systems” in military acquisitions; this includes application of Real Options (RO) theory and metrics such...Affordability Through Effective Portfolio Management Navindran Davendralingam and Daniel DeLaurentis Purdue University Published April 1, 2013...Systems: Affordability Through Effective Portfolio Management 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d
Talk Is Cheap: Skype Can Make VoIP a Very Real Communication Option for Your School
ERIC Educational Resources Information Center
Branzburg, Jeffrey
2007-01-01
There have been many tools that people can use to get connected with each other worldwide. Cell phones, blogs, wikis, podcasts, e-mail--the world hinges upon people's ability to connect, share, collaborate, and communicate. Voice over Internet Protocol (VoIP) is another tool schools can use to help their students get connected with the world. One…
The external kink mode in diverted tokamaks
NASA Astrophysics Data System (ADS)
Turnbull, A. D.; Hanson, J. M.; Turco, F.; Ferraro, N. M.; Lanctot, M. J.; Lao, L. L.; Strait, E. J.; Piovesan, P.; Martin, P.
2016-06-01
> . The resistive kink behaves much like the ideal kink with predominantly kink or interchange parity and no real sign of a tearing component. However, the growth rates scale with a fractional power of the resistivity near the surface. The results have a direct bearing on the conventional edge cutoff procedures used in most ideal MHD codes, as well as implications for ITER and for future reactor options.
The crypto-Hermitian smeared-coordinate representation of wave functions
NASA Astrophysics Data System (ADS)
Znojil, Miloslav
2011-08-01
In discrete-coordinate quantum models the kinematical observable of position need not necessarily be chosen local (i.e., diagonal). Its smearing is selected in the nearest-neighbor form of a real asymmetric (i.e., crypto-Hermitian) tridiagonal matrix Qˆ. Via Gauss-Hermite illustrative example we show how such an option restricts the class of admissible dynamical observables (sampled here just by the Hamiltonian).
Acquiring Technical Data With Renewable Real Options
2016-04-30
Development, and Engineering Center, 2009). Faced with diminishing sources for M2 .50 caliber machine gun parts , an Army engineering center entered the...data needed for life cycle sustainment functions such as maintenance or competitive spare parts procurement, but this expectation is more complicated...than it seems (DoD, 2015). The needs and timing for competitive spare parts procurement are uncertain, and changes in system configuration or
16 CFR 802.2 - Certain acquisitions of real property assets.
Code of Federal Regulations, 2010 CFR
2010-01-01
... and now proposes to exercise an option to buy the plant for in excess of $50 million (as adjusted). “X... acquired and thus are not unproductive property. 8. “X” proposes to buy a five-story building from “Y.” The... stores, the businesses of which “A” is buying from “B” as part of the overall transaction. The...
Kuczynski, Elizabeth A; Yin, Melissa; Bar-Zion, Avinoam; Lee, Christina R; Butz, Henriett; Man, Shan; Daley, Frances; Vermeulen, Peter B; Yousef, George M; Foster, F Stuart; Reynolds, Andrew R; Kerbel, Robert S
2016-08-01
The anti-angiogenic Sorafenib is the only approved systemic therapy for advanced hepatocellular carcinoma (HCC). However, acquired resistance limits its efficacy. An emerging theory to explain intrinsic resistance to other anti-angiogenic drugs is 'vessel co-option,' ie, the ability of tumors to hijack the existing vasculature in organs such as the lungs or liver, thus limiting the need for sprouting angiogenesis. Vessel co-option has not been evaluated as a potential mechanism for acquired resistance to anti-angiogenic agents. To study sorafenib resistance mechanisms, we used an orthotopic human HCC model (n = 4-11 per group), where tumor cells are tagged with a secreted protein biomarker to monitor disease burden and response to therapy. Histopathology, vessel perfusion assessed by contrast-enhanced ultrasound, and miRNA sequencing and quantitative real-time polymerase chain reaction were used to monitor changes in tumor biology. While sorafenib initially inhibited angiogenesis and stabilized tumor growth, no angiogenic 'rebound' effect was observed during development of resistance unless therapy was stopped. Instead, resistant tumors became more locally infiltrative, which facilitated extensive incorporation of liver parenchyma and the co-option of liver-associated vessels. Up to 75% (±10.9%) of total vessels were provided by vessel co-option in resistant tumors relative to 23.3% (±10.3%) in untreated controls. miRNA sequencing implicated pro-invasive signaling and epithelial-to-mesenchymal-like transition during resistance development while functional imaging further supported a shift from angiogenesis to vessel co-option. This is the first documentation of vessel co-option as a mechanism of acquired resistance to anti-angiogenic therapy and could have important implications including the potential therapeutic benefits of targeting vessel co-option in conjunction with vascular endothelial growth factor receptor signaling. © The Author 2016. Published by Oxford University Press.
Jang, E-Wook; Chung, Joonho; Seo, Kwon-Duk; Suh, Sang Hyun; Kim, Yong Bae; Lee, Kyung-Yul
2015-06-01
There are two established surgical treatment options for carotid artery stenosis. Carotid endarterectomy (CEA) has been accepted as a gold standard for surgical treatment while carotid artery stenting (CAS) has recently become an alternative option. Each treatment option has advantages and disadvantages for the treatment outcomes. We propose a protocol for selection of a proper surgical treatment option for carotid artery stenosis. A total of 192 published articles on management of carotid artery stenosis were reviewed. Preoperatively considerable factors which had been repeatedly noted in those articles for the risk/benefits of CEA or CAS were selected. According to those factors, a protocol with four categories was established. CEA or CAS is indicated when the patient has a symptomatic stenosis ≥ 50%, or when the patient has an asymptomatic stenosis ≥ 80%. Each treatment option has absolute indications and favorable indications. Each absolute indication is scored with three points, and each favorable indication, one point. Based on the highest scores, a proper treatment option (CEA or CAS) is selected. We have been treating patients according to this protocol and evaluating the outcomes of our protocol-based decision because this protocol might be helpful in assessment of risk/benefit for selection of a proper surgical treatment option in patients with carotid artery stenosis.
Real options valuation and optimization of energy assets
NASA Astrophysics Data System (ADS)
Thompson, Matthew
In this thesis we present algorithms for the valuation and optimal operation of natural gas storage facilities, hydro-electric power plants and thermal power generators in competitive markets. Real options theory is used to derive nonlinear partial-integro-differential equations (PIDEs) for the valuation and optimal operating strategies of all types of facilities. The equations are designed to incorporate a wide class of spot price models that can exhibit the same time-dependent, mean-reverting dynamics and price spikes as those observed in most energy markets. Particular attention is paid to the operational characteristics of real energy assets. For natural gas storage facilities these characteristics include: working gas capacities, variable deliverability and injection rates and cycling limitations. For thermal power plants relevant operational characteristics include variable start-up times and costs, control response time lags, minimum generating levels, nonlinear output functions, structural limitations on ramp rates, and minimum up/down time restrictions. For hydro-electric units, head effects and environmental constraints are addressed. We illustrate the models with numerical examples of a gas storage facility, a hydro-electric pump storage facility and a thermal power plant. This PIDE framework is the first in the literature to achieve second order accuracy in characterizing the operating states of hydro-electric and hydro-thermal power plants. The continuous state space representation derived in this thesis can therefore achieve far greater realism in terms of operating state specification than any other method in the literature to date. This thesis is also the first and only to allow for any continuous time jump diffusion processes in order to account for price spikes.
Menon, Vikas; Rajan, Tess Maria; Sarkar, Siddharth
2017-01-01
There is a growing interest in using mobile phone technology to offer real-time psychological interventions and support. However, questions remain on the clinical effectiveness and feasibility of such approaches in psychiatric populations. Our aim was to systematically review the published literature on mobile phone apps and other mobile phone-based technology for psychotherapy in mental health disorders. To achieve this, electronic searches of PubMed, ScienceDirect, and Google Scholar were carried out in January 2016. Generated abstracts were systematically screened for eligibility to be included in the review. Studies employing psychotherapy in any form, being delivered through mobile-based technology and reporting core mental health outcomes in mental illness were included in the study. We also included trials in progress with published protocols reporting at least some outcome measures of such interventions. From a total of 1563 search results, 24 eligible articles were identified and reviewed. These included trials in anxiety disorders (8), substance use disorders (5), depression (4), bipolar disorders (3), schizophrenia and psychotic disorders (3), and attempted suicide (1). Of these, eight studies involved the use of smartphone apps and others involved personalized text messages, automated programs, or delivered empirically supported treatments. Trial lengths varied from 6 weeks to 1 year. Good overall retention rates indicated that the treatments were feasible and largely acceptable. Benefits were reported on core outcomes in mental health illness indicating efficacy of such approaches though sample sizes were small. To conclude, mobile phone-based psychotherapies are a feasible and acceptable treatment option for patients with mental disorders. However, there remains a paucity of data on their effectiveness in real-world settings, especially from low- and middle-income countries.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 24 Housing and Urban Development 1 2010-04-01 2010-04-01 false Options. 35.120 Section 35.120... and Definitions for All Programs. § 35.120 Options. (a) Standard treatments. Where interim controls are required by this part, the designated party has the option to presume that lead-based paint or...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-10
... categorical Section 4(c) exemption to permit options and futures on shares of all or some precious metal commodity-based ETFs to be traded and cleared as options on securities and security futures, respectively... options and futures on shares of precious metal commodity- based ETFs. The Commission believes that...
RESPECT-Mil: Early Intervention & Outcomes Of PTSD & Depression In Primary Care
2011-03-21
Brief PTSD & depression screening (all visits) Pre-clinician diagnostic aid Patient education materials Psychosocial options Care Facilitator...visits) Pre-clinician diagnostic aid Patient education materials Psychosocial options Care Facilitator assisted follow-up option Aggressive... Patient education materials Psychosocial options Care Facilitator assisted follow-up option Aggressive facilitator outreach & monitoring Web-based
Flowslide Early Warning System in pyroclastic deposits
NASA Astrophysics Data System (ADS)
Olivares, Lucio; Damiano, Emila; De Cristofaro, Martina; Roberto, Greco; Mollo, Luigi; Netti, Nadia; Capparelli, Giovanna
2015-04-01
Most of the mountains of Campania are covered by airfall pyroclastic deposits in primary deposition generally in unsaturated conditions. These deposits are periodically subjected to rainfall induced landslides that may evolve into catastrophic flowslides. To protect towns EWS can be implemented in order to correctly and promptly predict the trigger. In the paper we detect some 'essential ingredients' for effective EWSs which are new with respect to those already employed and essentially based on pluviometric thresholds (Greco et. Al., 2013) and extremely simplified models not able to correctly follow the physical phenomena which are responsible of flowslides generation (Olivares et Al. 2009). Complex models, able to correctly simulate those physical phenomena such as infiltration processes and the effects of partial saturated conditions on shear strength contain the 'essential ingredients' that we discuss in the paper. A particular attention is devoted to define the relation between suction and shear strength and the water retention curve obtained from different techniques to assess a reliable hydro-geotechnical model to analyze the slope response of loose unsaturated pyroclastic deposits. An EWS that contains these elements can provide many advantages. In fact, catastrophic flowslides but even false alarms about such events, produce negative technological and productive shocks that strongly reduce the actual and prospective value added of investment in the areas at risk suggesting the opportunity of their shrinking and postponement. Of course this severely compromises the economic development of those areas. In the paper we propose to examine this subject in the Dixit e Pindyck framework of the Real Option Valuation Approach in order to explain the socio-economic value of effective EWS. In fact, such EWSs will embed valuable new real options in the investment opportunities in the areas at risk increasing their actual and prospective values. Keywords: slope stability, pyroclastic soil, monitoring, unsaturated soil, socio-economic framework
Papa, Matteo; Foladori, Paola; Guglielmi, Lorena; Bertanza, Giorgio
2017-08-01
This paper presents the results of a broad-scale survey of resource recovery implementation in Italian wastewater treatment plants (WWTPs). To the best of our knowledge, this is the first survey comprising a large number of WWTPs done in Europe: more than 600 plants were investigated, representing a treated load of around 20 million population equivalent (≈25% of the total in Italy). Conventional and innovative options for both material and energy recovery along the water and sludge line were surveyed, in order to i) offer a real and complete picture of the current state of resource recovery in WWTPs, and ii) underline key aspects and potential areas for improvements, as a baseline for future developments in the direction of more sustainable plants. Survey outcomes showed that resource recovery is just in its infancy in sewage treatment: only 40% of plants perform at least one option for material/energy recovery. The action most often implemented is recovery of material from surplus sludge for agricultural purposes and the internal reuse of treated effluent as water for various types of plant maintenance. The production of energy from biogas also occurs frequently but only in large plants. On the other hand, some well-known options, such as external reuse of treated effluent or nutrients recovery, were implemented only in a minority of plants: this is likely due to limitations resulting either from strict regulation or difficulty placing recovered products on the market. In conclusion, an overall explanation of these driving forces within the system is explored. Copyright © 2017 Elsevier Ltd. All rights reserved.
Casault, Sébastien; Groen, Aard J; Linton, Jonathan D
2014-03-25
This paper presents work toward improving the efficacy of financial models that describe the unique nature of biotechnology firms. We show that using a 'thick tailed' power law distribution to describe the behavior of the value of biotechnology R&D used in a Real Options Pricing model is significantly more accurate than the traditionally used Gaussian approach. A study of 287 North-American biotechnology firms gives insights into common problems faced by investors, managers and other stakeholders when using traditional techniques to calculate the commercial value of R&D. This is important because specific quantitative tools to assess the value of high-risk, high-reward R&D do not currently exist. This often leads to an undervaluation of biotechnology R&D and R&D intensive biotechnology firms. For example, the widely used Net Present Value (NPV) method assumes a fixed risk ignoring management flexibility and the changing environment. However, Real Options Pricing models assume that commercial returns from R&D investments are described by a normal random walk. A normal random walk model eliminates the possibility of drastic changes to the marketplace resulting from the introduction of revolutionary products and/or services. It is possible to better understand and manage biotechnology research projects and portfolios using a model that more accurately considers large non-Gaussian price fluctuations with thick tails, which recognize the unusually large risks and opportunities associated with Biotechnology R&D. Our empirical data show that opportunity overcompensates for the downside risk making biotechnology R&D statistically more valuable than other Gaussian options investments, which may otherwise appear to offer a similar combination of risk and return. Copyright © 2013 Elsevier B.V. All rights reserved.
Neri, L; Miracapillo, A
2015-02-01
Topical corticosteroids and the vitamin D analogue calcipotriol are the cornerstone of therapy for patients with mild-to-moderate plaque psoriasis. Lack of patients' adherence leads to suboptimal effectiveness of topical therapy in real-life practice. The fixed combination betamethasone/calcipotriol gel is more effective and safe than the administration of single components and may enhance patients' adherence. We aimed at evaluating the pattern of care and dermatologists' expert opinion toward the available topical treatments for the management of mild-to-moderate psoriasis in Italy. We enrolled 242 Italian dermatologists and collected information related to their practice pattern and opinion toward available topical treatments with a face-to-face structured interview. We evaluated dermatologists' ratings of therapy with 16 items tapping their opinion toward the relevance and satisfaction toward 8 therapy attributes in clinical practices which tapped aspects of real-life effectiveness, adherence promotion, toxicity, convenience of use. Ratings occurred along a 10-point scale. We compared single-attribute and weighted overall therapy ratings across alternative treatment options with random-intercept linear models to account for ratings clustering within dermatologists. There was a wide variation in practice patterns: 1/3 of dermatologist had seen more than 30 patients with psoriasis while around 1/4 had seen less than 10 patients. The fixed combination betamethasone/calcipotriol gel was considered superior to monotherapies in all the eight attributes considered which tapped aspects of real-life effectiveness, adherence promotion, toxicity, convenience of use. Participant dermatologists' strongly preferred the fixed betamethasone/calcipotriol combination gel over both the fixed combination ointment formulation and corticosteroid or vitamin D analogues monotherapies. Such findings are in line with evidence from randomized controlled trials and few observational studies demonstrating superior clinical outcomes, quality of life, tolerability and lower risk of side effect in patients treated with the fixed combination of betamethasone/calcipotriol gel.
Global change - Geoengineering and space exploration
NASA Technical Reports Server (NTRS)
Jenkins, Lyle M.
1992-01-01
Geoengineering options and alternatives are proposed for mitigating the effects of global climate change and depletion of the ozone layer. Geoengineering options were discussed by the National Academy of Science Panel on the Policy Implications of Greenhouse Warming. Several of the ideas conveyed in their published report are space-based or depend on space systems for implementation. Among the geoengineering options using space that are discussed include the use of space power systems as an alternative to fossil fuels for generating electricity, the use of lunar He-3 to aid in the development of fusion energy, and the establishment of a lunar power system for solar energy conversion and electric power beaming back to earth. Other geoengineering options are discussed. They include the space-based modulation of hurricane forces and two space-based approaches in dealing with ozone layer depletion. The engineering challenges and policy implementation issues are discussed for these geongineering options.
Deriving Tools from Real-time Runs: A New CCMC Support for SEC and AFWA
NASA Technical Reports Server (NTRS)
Hesse, Michael; Rastatter, Lutz; MacNeice, Peter; Kuznetsova, Masha
2008-01-01
The Community Coordinated Modeling Center (CCMC) is a US inter-agency activity aiming at research in support of the generation of advanced space weather models. As one of its main functions. the CCMC provides to researchers the use of space science models, even if they are not model owners themselves. The second focus of CCMC activities is on validation and verification of space weather models. and on the transition of appropriate models to space weather forecast centers. As part of the latter activity. the CCMC develops real-time simulation systems that stress models through routine execution. A by-product of these real-time calculations is the ability to derive model products, which may be useful for space weather operators. After consultations with NOA/SEC and with AFWA, CCMC has developed a set of tools as a first step to make real-time model output useful to forecast centers. In this presentation, we will discuss the motivation for this activity, the actions taken so far, and options for future tools from model output.
NASA Astrophysics Data System (ADS)
O, Hyong-Chol; Jo, Jong-Jun; Kim, Ji-Sok
2016-02-01
We provide representations of solutions to terminal value problems of inhomogeneous Black-Scholes equations and study such general properties as min-max estimates, gradient estimates, monotonicity and convexity of the solutions with respect to the stock price variable, which are important for financial security pricing. In particular, we focus on finding representation of the gradient (with respect to the stock price variable) of solutions to the terminal value problems with discontinuous terminal payoffs or inhomogeneous terms. Such terminal value problems are often encountered in pricing problems of compound-like options such as Bermudan options or defaultable bonds with discrete default barrier, default intensity and endogenous default recovery. Our results can be used in pricing real defaultable bonds under consideration of existence of discrete coupons or taxes on coupons.
Federal Register 2010, 2011, 2012, 2013, 2014
2010-03-09
...-Regulatory Organizations; Chicago Board Options Exchange, Incorporated; Notice of Filing and Immediate Effectiveness of Proposed Rule Change Related to Multi-Class Broad Based Index Option Spread Orders March 2... thereunder,\\2\\ notice is hereby given that on February 18, 2010, the Chicago Board Options Exchange...
Federal Register 2010, 2011, 2012, 2013, 2014
2013-03-22
... customer bases of potential product users have indicated a preference that premium pricing for Mini Options... market participants clarity as to the minimum pricing increments for Mini Options, the filing would harmonize penny pricing between Mini Options and standard options on the same security. \\4\\ See Securities...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-24
... commodities or commodity futures, options on commodities, or other commodity derivatives or Commodity-Based...) interest rate futures or options or derivatives on the foregoing in this subparagraph (b) (``Futures... options or other derivatives on any of the foregoing; or (b) interest rate futures or options or...
Computational Psychometrics for the Measurement of Collaborative Problem Solving Skills
Polyak, Stephen T.; von Davier, Alina A.; Peterschmidt, Kurt
2017-01-01
This paper describes a psychometrically-based approach to the measurement of collaborative problem solving skills, by mining and classifying behavioral data both in real-time and in post-game analyses. The data were collected from a sample of middle school children who interacted with a game-like, online simulation of collaborative problem solving tasks. In this simulation, a user is required to collaborate with a virtual agent to solve a series of tasks within a first-person maze environment. The tasks were developed following the psychometric principles of Evidence Centered Design (ECD) and are aligned with the Holistic Framework developed by ACT. The analyses presented in this paper are an application of an emerging discipline called computational psychometrics which is growing out of traditional psychometrics and incorporates techniques from educational data mining, machine learning and other computer/cognitive science fields. In the real-time analysis, our aim was to start with limited knowledge of skill mastery, and then demonstrate a form of continuous Bayesian evidence tracing that updates sub-skill level probabilities as new conversation flow event evidence is presented. This is performed using Bayes' rule and conversation item conditional probability tables. The items are polytomous and each response option has been tagged with a skill at a performance level. In our post-game analysis, our goal was to discover unique gameplay profiles by performing a cluster analysis of user's sub-skill performance scores based on their patterns of selected dialog responses. PMID:29238314
Computational Psychometrics for the Measurement of Collaborative Problem Solving Skills.
Polyak, Stephen T; von Davier, Alina A; Peterschmidt, Kurt
2017-01-01
This paper describes a psychometrically-based approach to the measurement of collaborative problem solving skills, by mining and classifying behavioral data both in real-time and in post-game analyses. The data were collected from a sample of middle school children who interacted with a game-like, online simulation of collaborative problem solving tasks. In this simulation, a user is required to collaborate with a virtual agent to solve a series of tasks within a first-person maze environment. The tasks were developed following the psychometric principles of Evidence Centered Design (ECD) and are aligned with the Holistic Framework developed by ACT. The analyses presented in this paper are an application of an emerging discipline called computational psychometrics which is growing out of traditional psychometrics and incorporates techniques from educational data mining, machine learning and other computer/cognitive science fields. In the real-time analysis, our aim was to start with limited knowledge of skill mastery, and then demonstrate a form of continuous Bayesian evidence tracing that updates sub-skill level probabilities as new conversation flow event evidence is presented. This is performed using Bayes' rule and conversation item conditional probability tables. The items are polytomous and each response option has been tagged with a skill at a performance level. In our post-game analysis, our goal was to discover unique gameplay profiles by performing a cluster analysis of user's sub-skill performance scores based on their patterns of selected dialog responses.
Synchrotron X-ray imaging of pulmonary alveoli in respiration in live intact mice.
Chang, Soeun; Kwon, Namseop; Kim, Jinkyung; Kohmura, Yoshiki; Ishikawa, Tetsuya; Rhee, Chin Kook; Je, Jung Ho; Tsuda, Akira
2015-03-04
Despite nearly a half century of studies, it has not been fully understood how pulmonary alveoli, the elementary gas exchange units in mammalian lungs, inflate and deflate during respiration. Understanding alveolar dynamics is crucial for treating patients with pulmonary diseases. In-vivo, real-time visualization of the alveoli during respiration has been hampered by active lung movement. Previous studies have been therefore limited to alveoli at lung apices or subpleural alveoli under open thorax conditions. Here we report direct and real-time visualization of alveoli of live intact mice during respiration using tracking X-ray microscopy. Our studies, for the first time, determine the alveolar size of normal mice in respiration without positive end expiratory pressure as 58 ± 14 (mean ± s.d.) μm on average, accurately measured in the lung bases as well as the apices. Individual alveoli of normal lungs clearly show heterogeneous inflation from zero to ~25% (6.7 ± 4.7% (mean ± s.d.)) in size. The degree of inflation is higher in the lung bases (8.7 ± 4.3% (mean ± s.d.)) than in the apices (5.7 ± 3.2% (mean ± s.d.)). The fraction of the total tidal volume allocated for alveolar inflation is 34 ± 3.8% (mean ± s.e.m). This study contributes to the better understanding of alveolar dynamics and helps to develop potential treatment options for pulmonary diseases.
ERIC Educational Resources Information Center
Carayannis, Elias G.
2008-01-01
In today's globalizing and hypercompetitive marketplace, knowledge and learning are the only capabilities that can provide sustained competitive advantage. "Knowledge" is the content of learning, and a firm gains competitive superiority either by knowing something that its competitors do not know or by having a certain type of knowledge that…
Targeted Killing, An Option for the Operational Commander
2007-11-06
punishment. In Peru , authorities had significant success derailing the brutal Shining Path terrorist group with the capture and display of a...demoralized Abimael Guzman in 1992. The once feared terrorist was described as an overweight pensioner when publicly displayed in prison garb by Peruvian...authorities.64 The Shining Path still exists but it has not recaptured its place as a real threat to Peru .65 Similarly, Turkey’s capture of Kurdish
The Costs and Risks of Maturing Technologies, Traditionally vs. Evolutionary Approaches
2008-04-23
Acquiring Combat Capability via Public-Private Partnerships (PPPs) Knowledge Value Added (KVA) + Real Options (RO) Applied to Shipyard Planning Processes...NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Tennenbaum Institute...a candid environment where high-ranking Department of Defense (DoD) officials, industry officials, accomplished faculty and military students are
Hadoop Oriented Smart Cities Architecture.
Diaconita, Vlad; Bologa, Ana-Ramona; Bologa, Razvan
2018-04-12
A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities.
Activity-based costs of plasma transfusions in medical and surgical inpatients at a US hospital.
Shander, A; Ozawa, S; Hofmann, A
2016-07-01
Fresh frozen plasma (FFP) usage has significantly increased over the last decade leading to elevated healthcare costs. Although FFP is used in several clinical settings, it is often inappropriately transfused and evidence for its clinical efficacy is poor. Here, we describe plasma usage and transfusion costs in a real-world US inpatient setting to determine the cost-effectiveness of FFP transfusion and for comparison to various patient blood management (PBM) options to treat coagulopathies. All activities related to plasma transfusion recorded at a single US hospital over one calendar year were collected in a stepwise manner using an activity-based costing (ABC) methodology. This model maps all technical, administrative and clinical processes inherent to the cost of plasma. Of 18 200 inpatients recorded, 849 were charged for blood products. In total, 136 medical and surgical inpatients were charged for 577 units of FFP, receiving a total of 534 units; 43 units were charged but not transfused. The total cost per unit of FFP transfused was $409·62 and $1,608·37 per patient transfused with FFP. Wasted products, in-hospital processes and overhead costs were found to account for 89·8% of the total cost of FFP transfusions. This study is the first to use ABC methodology to determine the full cost of plasma transfusion in a US inpatient setting. These data reveal the true cost of plasma, providing a useful reference point to compare with the cost of other PBM options to manage coagulation disorders. © 2016 International Society of Blood Transfusion.
Hadoop Oriented Smart Cities Architecture
Bologa, Ana-Ramona; Bologa, Razvan
2018-01-01
A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities. PMID:29649172
Feasibility study of the neutron dose for real-time image-guided proton therapy: A Monte Carlo study
NASA Astrophysics Data System (ADS)
Kim, Jin Sung; Shin, Jung Suk; Kim, Daehyun; Shin, Eunhyuk; Chung, Kwangzoo; Cho, Sungkoo; Ahn, Sung Hwan; Ju, Sanggyu; Chung, Yoonsun; Jung, Sang Hoon; Han, Youngyih
2015-07-01
Two full rotating gantries with different nozzles (multipurpose nozzle with MLC, scanning dedicated nozzle) for a conventional cyclotron system are installed and being commissioned for various proton treatment options at Samsung Medical Center in Korea. The purpose of this study is to use Monte Carlo simulation to investigate the neutron dose equivalent per therapeutic dose, H/D, for X-ray imaging equipment under various treatment conditions. At first, we investigated the H/D for various modifications of the beamline devices (scattering, scanning, multi-leaf collimator, aperture, compensator) at the isocenter and at 20, 40 and 60 cm distances from the isocenter, and we compared our results with those of other research groups. Next, we investigated the neutron dose at the X-ray equipment used for real-time imaging under various treatment conditions. Our investigation showed doses of 0.07 ~ 0.19 mSv/Gy at the X-ray imaging equipment, depending on the treatment option and interestingly, the 50% neutron dose reduction was observed due to multileaf collimator during proton scanning treatment with the multipurpose nozzle. In future studies, we plan to measure the neutron dose experimentally and to validate the simulation data for X-ray imaging equipment for use as an additional neutron dose reduction method.
Code of Federal Regulations, 2011 CFR
2011-04-01
... Housing and Urban Development Office of the Secretary, Department of Housing and Urban Development LEAD-BASED PAINT POISONING PREVENTION IN CERTAIN RESIDENTIAL STRUCTURES General Lead-Based Paint Requirements... are required by this part, the designated party has the option to presume that lead-based paint or...
Code of Federal Regulations, 2012 CFR
2012-04-01
... Housing and Urban Development Office of the Secretary, Department of Housing and Urban Development LEAD-BASED PAINT POISONING PREVENTION IN CERTAIN RESIDENTIAL STRUCTURES General Lead-Based Paint Requirements... are required by this part, the designated party has the option to presume that lead-based paint or...
Code of Federal Regulations, 2014 CFR
2014-04-01
... Housing and Urban Development Office of the Secretary, Department of Housing and Urban Development LEAD-BASED PAINT POISONING PREVENTION IN CERTAIN RESIDENTIAL STRUCTURES General Lead-Based Paint Requirements... are required by this part, the designated party has the option to presume that lead-based paint or...
Code of Federal Regulations, 2013 CFR
2013-04-01
... Housing and Urban Development Office of the Secretary, Department of Housing and Urban Development LEAD-BASED PAINT POISONING PREVENTION IN CERTAIN RESIDENTIAL STRUCTURES General Lead-Based Paint Requirements... are required by this part, the designated party has the option to presume that lead-based paint or...
Workstation table crashworthiness tests
DOT National Transportation Integrated Search
2013-12-31
This report describes results from the Option C component of a research program aimed at improving crashworthiness of passenger train workstation tables. Research conducted in the Base, Option A, and Option B components of the program was focused on ...
Scheduling periodic jobs that allow imprecise results
NASA Technical Reports Server (NTRS)
Chung, Jen-Yao; Liu, Jane W. S.; Lin, Kwei-Jay
1990-01-01
The problem of scheduling periodic jobs in hard real-time systems that support imprecise computations is discussed. Two workload models of imprecise computations are presented. These models differ from traditional models in that a task may be terminated any time after it has produced an acceptable result. Each task is logically decomposed into a mandatory part followed by an optional part. In a feasible schedule, the mandatory part of every task is completed before the deadline of the task. The optional part refines the result produced by the mandatory part to reduce the error in the result. Applications are classified as type N and type C, according to undesirable effects of errors. The two workload models characterize the two types of applications. The optional parts of the tasks in an N job need not ever be completed. The resulting quality of each type-N job is measured in terms of the average error in the results over several consecutive periods. A class of preemptive, priority-driven algorithms that leads to feasible schedules with small average error is described and evaluated.
Bringing social standards into project evaluation under dynamic uncertainty.
Knudsen, Odin K; Scandizzo, Pasquale L
2005-04-01
Society often sets social standards that define thresholds of damage to society or the environment above which compensation must be paid to the state or other parties. In this article, we analyze the interdependence between the use of social standards and investment evaluation under dynamic uncertainty where a negative externality above a threshold established by society requires an assessment and payment of damages. Under uncertainty, the party considering implementing a project or new technology must not only assess when the project is economically efficient to implement but when to abandon a project that could potentially exceed the social standard. Using real-option theory and simple models, we demonstrate how such a social standard can be integrated into cost-benefit analysis through the use of a development option and a liability option coupled with a damage function. Uncertainty, in fact, implies that both parties interpret the social standard as a target for safety rather than an inflexible barrier that cannot be overcome. The larger is the uncertainty, in fact, the greater will be the tolerance for damages in excess of the social standard from both parties.
Safety, Efficacy, and Patient Acceptability of Everolimus in the Treatment of Breast Cancer.
Lousberg, Laurence; Jerusalem, Guy
2016-01-01
Everolimus combined with exemestane is an important treatment option for patients suffering from estrogen receptor-positive, human epidermal growth factor receptor 2-negative, advanced breast cancer (ABC) who have been previously treated with a nonsteroidal aromatase inhibitor (NSAI). After presentation of phase III registration trial BOLERO-2, several phase IIIb trials have been started to evaluate this regimen in a more real-world setting. Here, we review the efficacy and safety data published or presented at selected international meetings. These studies confirmed the outcome observed in the BOLERO-2 trial. Patient acceptance rate is also discussed by focusing on the permanent everolimus discontinuation rate in these trials. Factors influencing the safety profile are also reported, including the impact of age. The optimal sequence of combined therapy approaches associating targeted and endocrine therapy (ET) has yet to be determined as new treatment options such as cyclin-dependent kinase inhibitors become available. However, everolimus-exemestane remains an important treatment option with a major impact on progression-free survival (PFS) and an acceptable safety profile.
Safety, Efficacy, and Patient Acceptability of Everolimus in the Treatment of Breast Cancer
Lousberg, Laurence; Jerusalem, Guy
2016-01-01
Everolimus combined with exemestane is an important treatment option for patients suffering from estrogen receptor-positive, human epidermal growth factor receptor 2-negative, advanced breast cancer (ABC) who have been previously treated with a nonsteroidal aromatase inhibitor (NSAI). After presentation of phase III registration trial BOLERO-2, several phase IIIb trials have been started to evaluate this regimen in a more real-world setting. Here, we review the efficacy and safety data published or presented at selected international meetings. These studies confirmed the outcome observed in the BOLERO-2 trial. Patient acceptance rate is also discussed by focusing on the permanent everolimus discontinuation rate in these trials. Factors influencing the safety profile are also reported, including the impact of age. The optimal sequence of combined therapy approaches associating targeted and endocrine therapy (ET) has yet to be determined as new treatment options such as cyclin-dependent kinase inhibitors become available. However, everolimus–exemestane remains an important treatment option with a major impact on progression-free survival (PFS) and an acceptable safety profile. PMID:28096680
Transputer parallel processing at NASA Lewis Research Center
NASA Technical Reports Server (NTRS)
Ellis, Graham K.
1989-01-01
The transputer parallel processing lab at NASA Lewis Research Center (LeRC) consists of 69 processors (transputers) that can be connected into various networks for use in general purpose concurrent processing applications. The main goal of the lab is to develop concurrent scientific and engineering application programs that will take advantage of the computational speed increases available on a parallel processor over the traditional sequential processor. Current research involves the development of basic programming tools. These tools will help standardize program interfaces to specific hardware by providing a set of common libraries for applications programmers. The thrust of the current effort is in developing a set of tools for graphics rendering/animation. The applications programmer currently has two options for on-screen plotting. One option can be used for static graphics displays and the other can be used for animated motion. The option for static display involves the use of 2-D graphics primitives that can be called from within an application program. These routines perform the standard 2-D geometric graphics operations in real-coordinate space as well as allowing multiple windows on a single screen.
Evidence-based dentistry: fundamentals for the dentist.
Bauer, Janet; Chiappelli, Francesco; Spackman, Sue; Prolo, Paolo; Stevenson, Richard
2006-06-01
This article explains the fundamentals of evidence-based dentistry for the dentist. Evidence-based dentistry is a discipline whose primary participant is the translational researcher. Recent developments have emphasized the importance of this discipline (clinical and translational research) for improving health care. The process of evidence-based dentistry is the reciprocation of new and existing evidence between dentists and quantitative and qualitative researchers, facilitated by the translational researcher. The product of this reciprocation is the clinical practice guideline, or best evidence, that provides the patient options in choosing treatments or services. These options are quantified and qualified by decision, utility, and cost data. Using shared decision-making, the dentist and patient arrive at a mutual understanding of which option best meets an acceptable and preferred treatment course that is cost effective. This option becomes the clinical decision.
A New Perspective in the Etiology, Treatment, Prevention and Prediction of Space Motion Sickness
1988-12-01
ulsint options: Dilanlin (First choice based previous ground based ef- ficacity’), Dextromethorphan \\Dilantin, Carbamnazcpine, Dextrornczhorpl.an\\Car...First choice based previous ground based er- ricacity), Dcxtromethorphan\\Dilantin, Carbamazepinc, Dextromethorphan \\Car- bamrazepine 137 EVALUATION OF...Anticonvulsant options: Dilantin (First choice bised previous ground based ef- * flicacioy), Dextromethorphan \\Dilantin, Carbamazepine, Dextromethorphan \\Car
NASA Technical Reports Server (NTRS)
1985-01-01
The primary objective of Task 2 is the development of an information base that will support the conduct of trade studies and provide sufficient data to make key design/programmatic decisions. This includes: (1) the establishment of option categories that are most likely to influence Space Station Data System (SSDS) definition; (2) the identification of preferred options in each category; and (3) the characterization of these options with respect to performance attributes, constraints, cost and risk. This volume contains the options development for the design category. This category comprises alternative structures, configurations and techniques that can be used to develop designs that are responsive to the SSDS requirements. The specific areas discussed are software, including data base management and distributed operating systems; system architecture, including fault tolerance and system growth/automation/autonomy and system interfaces; time management; and system security/privacy. Also discussed are space communications and local area networking.
Real-Time View Correction for Mobile Devices.
Schops, Thomas; Oswald, Martin R; Speciale, Pablo; Yang, Shuoran; Pollefeys, Marc
2017-11-01
We present a real-time method for rendering novel virtual camera views from given RGB-D (color and depth) data of a different viewpoint. Missing color and depth information due to incomplete input or disocclusions is efficiently inpainted in a temporally consistent way. The inpainting takes the location of strong image gradients into account as likely depth discontinuities. We present our method in the context of a view correction system for mobile devices, and discuss how to obtain a screen-camera calibration and options for acquiring depth input. Our method has use cases in both augmented and virtual reality applications. We demonstrate the speed of our system and the visual quality of its results in multiple experiments in the paper as well as in the supplementary video.
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-09
... Organizations; C2 Options Exchange, Incorporated; Notice of Filing and Immediate Effectiveness of a Proposed Rule Change to Update Rules Based on Chicago Board Options Exchange, Inc. Rules and Recent Chicago Board Options Exchange, Inc. Rule Filings November 3, 2010. Pursuant to Section 19(b)(1) of the...
Federal Register 2010, 2011, 2012, 2013, 2014
2011-10-11
... the calculation of the SQT Fees to incentivize trading in equity options, excluding currencies and... the Exchange's options floor and thereby provide liquidity for floor-brokered orders traded in-crowd... Fee based on the aggregate amount of equity options and index options traded by the SQTs in that...
Vaidya, Avinash R; Fellows, Lesley K
2016-09-21
Real-world decisions are typically made between options that vary along multiple dimensions, requiring prioritization of the important dimensions to support optimal choice. Learning in this setting depends on attributing decision outcomes to the dimensions with predictive relevance rather than to dimensions that are irrelevant and nonpredictive. This attribution problem is computationally challenging, and likely requires an interplay between selective attention and reward learning. Both these processes have been separately linked to the prefrontal cortex, but little is known about how they combine to support learning the reward value of multidimensional stimuli. Here, we examined the necessary contributions of frontal lobe subregions in attributing feedback to relevant and irrelevant dimensions on a trial-by-trial basis in humans. Patients with focal frontal lobe damage completed a demanding reward learning task where options varied on three dimensions, only one of which predicted reward. Participants with left lateral frontal lobe damage attributed rewards to irrelevant dimensions, rather than the relevant dimension. Damage to the ventromedial frontal lobe also impaired learning about the relevant dimension, but did not increase reward attribution to irrelevant dimensions. The results argue for distinct roles for these two regions in learning the value of multidimensional decision options under dynamic conditions, with the lateral frontal lobe required for selecting the relevant dimension to associate with reward, and the ventromedial frontal lobe required to learn the reward association itself. The real world is complex and multidimensional; how do we attribute rewards to predictive features when surrounded by competing cues? Here, we tested the critical involvement of human frontal lobe subregions in a probabilistic, multidimensional learning environment, asking whether focal lesions affected trial-by-trial attribution of feedback to relevant and irrelevant dimensions. The left lateral frontal lobe was required for filtering option dimensions to allow appropriate feedback attribution, while the ventromedial frontal lobe was necessary for learning the value of features in the relevant dimension. These findings argue that selective attention and associative learning processes mediated by anatomically distinct frontal lobe subregions are both critical for adaptive choice in more complex, ecologically valid settings. Copyright © 2016 the authors 0270-6474/16/369843-16$15.00/0.
Battery capacity and recharging needs for electric buses in city transit service
Gao, Zhiming; Lin, Zhenhong; LaClair, Tim J.; ...
2017-01-27
Our paper evaluates the energy consumption and battery performance of city transit electric buses operating on real day-to-day routes and standardized bus drive cycles, based on a developed framework tool that links bus electrification feasibility with real-world vehicle performance, city transit bus service reliability, battery sizing and charging infrastructure. The impacts of battery capacity combined with regular and ultrafast charging over different routes have been analyzed in terms of the ability to maintain city transit bus service reliability like conventional buses. These results show that ultrafast charging via frequent short-time boost charging events, for example at a designated bus stopmore » after completing each circuit of an assigned route, can play a significant role in reducing the battery size and can eliminate the need for longer duration charging events that would cause schedule delays. Furthermore, the analysis presented shows that significant benefits can be realized by employing multiple battery configurations and flexible battery swapping practices in electric buses. These flexible design and use options will allow electric buses to service routes of varying city driving patterns and can therefore enable meaningful reductions to the cost of the vehicle and battery while ensuring service that is as reliable as conventional buses.« less
Climate Outreach Using Regional Coastal Ocean Observing System Portals
NASA Astrophysics Data System (ADS)
Anderson, D. M.; Hernandez, D. L.; Wakely, A.; Bochenek, R. J.; Bickel, A.
2015-12-01
Coastal oceans are dynamic, changing environments affected by processes ranging from seconds to millennia. On the east and west coast of the U.S., regional observing systems have deployed and sustained a remarkable diverse array of observing tools and sensors. Data portals visualize and provide access to real-time sensor networks. Portals have emerged as an interactive tool for educators to help students explore and understand climate. Bringing data portals to outreach events, into classrooms, and onto tablets and smartphones enables educators to address topics and phenomena happening right now. For example at the 2015 Charleston Science Technology Engineering and Math (STEM) Festival, visitors navigated the SECOORA (Southeast Coastal Ocean Observing regional Association) data portal to view the real-time marine meteorological conditions off South Carolina. Map-based entry points provide an intuitive interface for most students, an array of time series and other visualizations depict many of the essential principles of climate science manifest in the coastal zone, and data down-load/ extract options provide access to the data and documentation for further inquiry by advanced users. Beyond the exposition of climate principles, the portal experience reveals remarkable technologies in action and shows how the observing system is enabled by the activity of many different partners.
Korocsec, D; Holobar, A; Divjak, M; Zazula, D
2005-12-01
Medicine is a difficult thing to learn. Experimenting with real patients should not be the only option; simulation deserves a special attention here. Virtual Reality Modelling Language (VRML) as a tool for building virtual objects and scenes has a good record of educational applications in medicine, especially for static and animated visualisations of body parts and organs. However, to create computer simulations resembling situations in real environments the required level of interactivity and dynamics is difficult to achieve. In the present paper we describe some approaches and techniques which we used to push the limits of the current VRML technology further toward dynamic 3D representation of virtual environments (VEs). Our demonstration is based on the implementation of a virtual baby model, whose vital signs can be controlled from an external Java application. The main contributions of this work are: (a) outline and evaluation of the three-level VRML/Java implementation of the dynamic virtual environment, (b) proposal for a modified VRML Timesensor node, which greatly improves the overall control of system performance, and (c) architecture of the prototype distributed virtual environment for training in neonatal resuscitation comprising the interactive virtual newborn, active bedside monitor for vital signs and full 3D representation of the surgery room.
Compact, self-contained enhanced-vision system (EVS) sensor simulator
NASA Astrophysics Data System (ADS)
Tiana, Carlo
2007-04-01
We describe the model SIM-100 PC-based simulator, for imaging sensors used, or planned for use, in Enhanced Vision System (EVS) applications. Typically housed in a small-form-factor PC, it can be easily integrated into existing out-the-window visual simulators for fixed-wing or rotorcraft, to add realistic sensor imagery to the simulator cockpit. Multiple bands of infrared (short-wave, midwave, extended-midwave and longwave) as well as active millimeter-wave RADAR systems can all be simulated in real time. Various aspects of physical and electronic image formation and processing in the sensor are accurately (and optionally) simulated, including sensor random and fixed pattern noise, dead pixels, blooming, B-C scope transformation (MMWR). The effects of various obscurants (fog, rain, etc.) on the sensor imagery are faithfully represented and can be selected by an operator remotely and in real-time. The images generated by the system are ideally suited for many applications, ranging from sensor development engineering tradeoffs (Field Of View, resolution, etc.), to pilot familiarization and operational training, and certification support. The realistic appearance of the simulated images goes well beyond that of currently deployed systems, and beyond that required by certification authorities; this level of realism will become necessary as operational experience with EVS systems grows.