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Objectives: To describe and summarize evidence on economic evaluations (EEs) of primary caries prevention in preschool children aged 2 to 5 years and to evaluate the reporting quality of full EE studies using a quality assessment tool.Methods: A systematic literature search was conducted in several databases. Full and partial EEs were included. The reporting quality of full EE studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist.Results: A total of 808 studies were identified, and 39 were included in the review. Most papers were published between 2000 and 2017 and originated in the United States and the United Kingdom. The most common type of intervention investigated was a complex multicomponent intervention, followed by water fluoridation. Cost analysis and cost-effectiveness analysis were the most frequently used types of EE. One study employed cost-utility analysis. The proportion of full EEs increased over time. The parameters not reported well included study perspective, baseline year, sensitivity analysis, and discount rate. The CHEERS items that were most often unmet were characterizing uncertainty, study perspective, study parameters, and estimating resources and costs.Conclusions: Within the past 2 decades, there has been an increase in the number of EEs of caries prevention interventions in preschool children. There was inconsistency in how EEs were conducted and reported. Lack of preference-based health-related quality-of-life measure utilization in the field was identified. The use of appropriate study methodologies and greater attention to recommended EE design are required to further improve quality. [ABSTRACT FROM AUTHOR]

Abstract: Many evolving nuclear energy technologies use advanced predictive multiscale, multiphysics modeling and simulation (M&S) capabilities to reduce the cost and schedule of design and licensing. Historically, the role of experiments has been as a primary tool for the design and understanding of nuclear system behavior, while M&S played the subordinate role of supporting experiments. In the new era of multiscale, multiphysics computational-based technology development, this role has been reversed. The experiments will still be needed, but they will be performed at different scales to calibrate and validate the models leading to predictive simulations for design and licensing. Minimizing the required number of validation experiments produces cost and time savings. The use of multiscale, multiphysics models introduces challenges in validating these predictive tools – traditional methodologies will have to be modified to address these challenges. This paper gives the basic aspects of a methodology that can potentially be used to address these new challenges in the design and licensing of evolving nuclear technology. The main components of the proposed methodology are verification, validation, calibration, and uncertainty quantification – steps similar to the components of the traditional US Nuclear Regulatory Commission (NRC) licensing approach, with the exception of the calibration step. An enhanced calibration concept is introduced here, and is accomplished through data assimilation. The goal of this methodology is to enable best-estimate prediction of system behaviors in both normal and safety-related environments. This goal requires the additional steps of estimating the domain of validation, and quantification of uncertainties, allowing for the extension of results to areas of the validation domain that are not directly tested with experiments. These might include the extension of the M&S capabilities for application to full-scale systems. The new methodology suggests a formalism to quantify an adequate level of validation (predictive maturity) with respect to existing data, so that required new testing can be minimized, saving cost by demonstrating that further testing will not enhance the quality of the predictive tools. The proposed methodology is at a conceptual level. Upon maturity, and if considered favorably by the stakeholders, it could serve as a new framework for the next generation of the best estimate plus uncertainty (BEPU) licensing methodology that the NRC has developed. In order to achieve maturity, the methodology must be communicated to scientific, design, and regulatory stakeholders for discussion and debate. This paper is the first step in establishing that communication. [Copyright &y& Elsevier]

Abstract: This paper discusses a multifaceted strategy to link NASA Minimal Functionality Habitable Element (MFHE) requirements to a compatible growth plan; leading forward to evolutionary, deployable habitats including outpost development stages. The discussion begins by reviewing fundamental geometric features inherent in small scale, vertical and horizontal, pressurized module configuration options to characterize applicability to meet stringent MFHE constraints. A proposed scenario to incorporate a vertical core MFHE concept into an expanded architecture to provide continuity of structural form and a logical path from “minimum” to “optimum” design of a habitable module. The paper describes how habitation and logistics accommodations could be pre-integrated into a common Hab/Log Module that serves both habitation and logistics functions. This is offered as a means to reduce unnecessary redundant development costs and to avoid EVA-intensive on-site adaptation and retrofitting requirements for augmented crew capacity. An evolutionary version of the hard shell Hab/Log design would have an expandable middle section to afford larger living and working accommodations. In conclusion, the paper illustrates that a number of cargo missions referenced for NASA’s 4.0.0 Lunar Campaign Scenario could be eliminated altogether to expedite progress and reduce budgets. The plan concludes with a vertical growth geometry that provides versatile and efficient site development opportunities using a combination of hard Hab/Log modules and a hybrid expandable “CLAM” (Crew Lunar Accommodations Module) element. [Copyright &y& Elsevier]

In the early 2000s high expectations existed regarding the potential contribution of biofuels to the reduction of greenhouse gas emissions and substitution of fossil fuels in transport. In recent years sobering judgments prevailed. The major barriers for a further expansion of biofuels are their high costs (compared to fossil fuels), moderate ecological performances, limited feedstocks for biofuel production and their competition with food production. The objective of this paper is to investigate the market prospects of biofuels up to the year 2030. It focuses on the three currently most important regions for biofuels production and use: the US, EU and Brazil which in 2010 accounted together for almost three-quarters of global biofuel supply. Our method of approach is based on a dynamic economic framework considering the major cost components of biofuels and corresponding technological learning with respect to capital costs. Moreover, for the analysis of the competitiveness of biofuels with fossil fuels also taxes are considered. The most important result is that under existing tax policies biofuels are cost-effective today and also for the next decades in the regions investigated. However, their potentials are restricted especially due to limited crops areas, and their environmental performance is currently rather modest. The major final conclusions are: (i) To reveal the real future market value of biofuels, a CO 2 based tax system should be implemented for all types of fuels providing a neutral environmental incentive for competition between all types of fossil and renewable fuels; (ii) Moreover, the research and development for all types of biofuels, but especially for second generation biofuels, has to be intensified. [ABSTRACT FROM AUTHOR]

Abstract: Renewable energy resources have historically played a small role for electricity generation in the US. However, concerns such as security of energy supply, limitations and price fluctuations of fossil fuels, and threats of climate changes have encouraged US policy makers to think and debate about diversification strategy in the energy supply and promotion of renewables. The current paper discusses the role of renewable portfolio in the US energy action plan during 2010–2030. A system dynamics model is constructed to evaluate different costs of renewable energy utilization by 2030. Results show that while renewables will create a market with near 10 billion $ worth (in the costs level) in 2030, the total value of renewable energy promotion and utilization in the US will be more than 170 billion $(in the costs level) during 2010–2030. [Copyright &y& Elsevier]

Abstract: The purpose of this paper is to analyze spatial competition, congestion and flows of container imports into the United States. An intermodal network flow model is developed and used to analyze congestion in the logistics system for container imports. The results indicate that congestion exists at most ports and its consequences are to raise costs at these nodes, and in some cases to divert traffic to other routes. Finally, if each of the ports expanded, the value of marginal capacity would converge to nil, and expansion would reduce congestion costs and waiting times. [Copyright &y& Elsevier]

Abstract: With all energy production systems there are environmental issues to be considered, risks to be assessed, and challenges to be addressed. It must be emphasized that an ideal energy source that is at the same time efficient, cost-effective, environment-friendly, and risk-free does not exist. There are always some necessary trade-offs to be made, in order to ensure optimal use of energy resources, while limiting environmental and health impacts. Nuclear energy is currently the only technology with a secure base-load electricity supply and no greenhouse gas emissions that has the potential to expand at a large scale. However, the spent fuel and safety issues must be addressed. Another base-load electricity source – the fossil-burning power plants – although affordable, emits various air pollutants (chemical and radioactive effluents, dust, ash, etc.), which are dispersed from a power source and transported through various pathways that could lead to the general population exposure. This paper summarizes current status and future trends in base-load electricity sources in the U.S., including environmental footprints, new regulatory requirements, and cost issues. It also presents an analysis of challenges that need to be overcome and opportunities that could us lead us closer to a sustainable energy future. [Copyright &y& Elsevier]

Abstract: This paper outlines the benefits of undergrounding power lines. We present research that reveals the reliability and operation and maintenance (O&M) impacts of electric underground lines relative to overhead lines. This research uses a comprehensive dataset from 163 US electric utilities. Holding the effects of other important operating variables constant, our research indicates that undergrounding reduces O&M cost and enhances reliability by reducing power outage durations. We also provide a brief discussion of other considerations that are important when weighing the benefits and cost of placing power lines underground. [Copyright &y& Elsevier]

Abstract: There has been increased interest in the exploration of the Moon in recent years. Pin-point precision landing is highly desirable for future lunar missions. This paper is concerned with the design of the on-board data handling (OBDH) subsystem for the pin-point lunar lander of the Magnolia-1 project, funded by NASA. Four proposed on-board data handling architectures are outlined and compared in terms of power consumption, performance and reliability. Implementation results are presented, which are obtained from prototyping of the flight computer for the optimal OBDH architecture option on a Xilinx Virtex-5 Field Programmable Gate Array. [Copyright &y& Elsevier]

Abstract: Greenhouse gas emissions from international shipping are an increasing concern. The paper evaluates whether vessel speed reduction can be a potentially cost-effective CO2 mitigation option for ships calling on US ports. By applying a profit-maximizing equation to estimate route-specific, economically-efficient speeds, we explore policy impacts of a fuel tax and a speed reduction mandate on CO2 emissions. The profit-maximizing function incorporates opportunity costs associated with speed reduction that go unobserved in more traditional marginal abatement cost analyses. We find that a fuel tax of about $150/ton fuel will lead to average speed-related CO2 reductions of about 20–30%. Moreover, a speed reduction mandate targeted to achieve 20% CO2 reduction in the container fleet costs between $30 and $200 per ton CO2 abated, depending on how the fleet responds to a speed reduction mandate. [Copyright &y& Elsevier]

This paper presents a methodology for estimating costs of delivering specific substance abuse treatment services. Data collected from 13 programs indicate that the mean cost of residential treatment is $2,773 per patient per month, and outpatient treatment costs average $636 per patient per month. Data are presented on the cost patient per month for individual treatment and nontreatment services, average number of services, cost per unit of service, and intensity of services. In addition to their application to insurance benefit cost estimation, these data illustrate the costing of best-practice adolescent treatment consistent with a Center of Substance Abuse Treatment (CSAT) Treatment Improvement Protocol. In the emerging policy environment, detailed cost estimates like these will aid the design of cost-effective treatment programs, and serve the development of the substance abuse benefit in a health care reform insurance package. [ABSTRACT FROM AUTHOR]

Estimation of cost functions for physician firms is problematic because many physicians are self-employed, and the marginal opportunity cost of physician labor is not observed. In this paper, we show how to recover marginal costs and conventional measures of economies of scale from cost functions that condition on the amount of physician labor input. In addition, we introduce the new concepts of marginal nonphysician input costs and 'behavioral' economies of scale, which reflect the structure of costs when physician labor input moves along a utility-maximizing expansion path. Our results could be useful in the design of resource-based physician fee schedules. [ABSTRACT FROM AUTHOR]

This paper uses semiparametric methods to estimate the magnitude of economies of scale in 14 non-revenue producing cost centers in hospitals. There are substantial economies of scale in small hospitals, but economies are exhausted in hospitals with over 10,000 discharges annually. In recent hospital mergers challenged by federal antitrust agencies, one or both hospitals had over 10,000 discharges, suggesting that efficiency gains in non-revenue producing cost centers will be small, and could easily be offset by nominal price increases. [ABSTRACT FROM AUTHOR]

Recent studies using the stochastic frontier approach have suggested high levels of inefficiency in nursing home and hospital facilities. This paper makes two observations. First, one could falsely estimate high levels of inefficiency if a statistical assumption--zero skewness of the random component of the cost residual--is violated. Second, an inefficient industry may be difficult to distinguish either statistically or visually from an industry free of inefficiency. If available, panel data yields more robust estimates of cost differences among nursing homes or hospitals. [ABSTRACT FROM AUTHOR]