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Articles 1 - 16 of 16
Full-Text Articles in Social and Behavioral Sciences
Modeling Uncertainty In Climate Change: A Multi‐Model Comparison, Kenneth Gillingham, William D. Nordhaus, David Anthoff, Geoffrey Blanford, Valentina Bosetti, Peter Christensen, Haewon Mcjeon
Modeling Uncertainty In Climate Change: A Multi‐Model Comparison, Kenneth Gillingham, William D. Nordhaus, David Anthoff, Geoffrey Blanford, Valentina Bosetti, Peter Christensen, Haewon Mcjeon
Cowles Foundation Discussion Papers
The economics of climate change involves a vast array of uncertainties, complicating both the analysis and development of climate policy. This study presents the results of the first comprehensive study of uncertainty in climate change using multiple integrated assessment models. The study looks at model and parametric uncertainties for population, total factor productivity, and climate sensitivity. It estimates the pdfs of key output variables, including CO 2 concentrations, temperature, damages, and the social cost of carbon (SCC). One key finding is that parametric uncertainty is more important than uncertainty in model structure. Our resulting pdfs also provide insights on tail …
Medicaid Crowd-Out Of Other Public Health Spending: Modeling Economic & Health Effects, Glen P. Mays
Medicaid Crowd-Out Of Other Public Health Spending: Modeling Economic & Health Effects, Glen P. Mays
Health Management and Policy Presentations
MOTIVATION: Thirty states are expanding Medicaid eligibility under the Affordable Care Act (ACA) as of 2015, and while federal funds cover most costs for newly eligible recipients, states must share the additional costs of covering previously-eligible state residents who enroll in Medicaid. States, together with their local government counterparts, also provide the vast majority (87%) of public sector funds for public health programs designed to promote health and prevent disease and injury on a population-wide basis. Fiscal constraints and generous federal matching funds create strong budgetary incentives for states to channel their health-related spending to Medicaid rather than to other …
Interdisciplinary Modeling For Water-Related Issues Graduate Course, Laurel Saito, Alexander Fernald, Timothy Link
Interdisciplinary Modeling For Water-Related Issues Graduate Course, Laurel Saito, Alexander Fernald, Timothy Link
All ECSTATIC Materials
The science and management of aquatic ecosystems is inherently interdisciplinary, with issues associated with hydrology, atmospheric science, water quality, geochemistry, sociology, economics, environmental science, and ecology. Addressing water resources issues in any one discipline invariably involves effects that concern other disciplines, and attempts to address one issue often have consequences that exacerbate existing issues or concerns, or create new ones (Jørgensen et al. 1992; Lackey et al. 1975; Straskraba 1994) due to the strongly interactive nature of key processes (Christensen et al. 1996). Thus, research and management of aquatic ecosystems must be interdisciplinary to be most effective, but such truly …
Fear And Media: The Relationship Between Crime Related Television Consumption And The Fear Of Crime Among Americans, Timothy Breitfeller, Tatiana Broukhim, Angelina Riccio, Leah Whitenack
Fear And Media: The Relationship Between Crime Related Television Consumption And The Fear Of Crime Among Americans, Timothy Breitfeller, Tatiana Broukhim, Angelina Riccio, Leah Whitenack
Student Scholar Symposium Abstracts and Posters
This paper explores the relationship between crime-related media consumption, shows about actual and fictional crime, internet-related problems, and the fear of crime. Our research proves that there is a direct relationship between crime-related media consumption, internet-related issues, and the fear of crime. The Chapman Survey of American Fears (Bader, 2014) identified fear of crime among various categories and included seventeen questions that were the subject of the key variables and were measured on a four point Likert scale. A series of questions directed at 1,573 respondents regarding the variables resulted in findings of positive correlations between crime-related media consumption and …
Panel - Real World Applications: Overview Of Virginia Beach Center For Gis' Geoprocessing Of Storm Surge Models, Dave Arnold
Panel - Real World Applications: Overview Of Virginia Beach Center For Gis' Geoprocessing Of Storm Surge Models, Dave Arnold
January 23, 2015: Storm Surge Modeling Tools for Planning and Response
No abstract provided.
Applications Of The Adcirc Storm Surge, Tide, And Wind-Wave Model, Rick Luettich, Brian Blanton
Applications Of The Adcirc Storm Surge, Tide, And Wind-Wave Model, Rick Luettich, Brian Blanton
January 23, 2015: Storm Surge Modeling Tools for Planning and Response
No abstract provided.
Storm Surge And Street-Level Inundation Modeling In New York City During Hurricane Sandy, Harry V. Wang, Derek Loftis, Zhou Liu, Jay Titlow, David Forrest, Joseph Zhang
Storm Surge And Street-Level Inundation Modeling In New York City During Hurricane Sandy, Harry V. Wang, Derek Loftis, Zhou Liu, Jay Titlow, David Forrest, Joseph Zhang
January 23, 2015: Storm Surge Modeling Tools for Planning and Response
No abstract provided.
The Storm Surge Hazard, Jeff Orrock
The Storm Surge Hazard, Jeff Orrock
January 23, 2015: Storm Surge Modeling Tools for Planning and Response
No abstract provided.
Introduction To Storm Surge Modeling, Rick Luettich
Introduction To Storm Surge Modeling, Rick Luettich
January 23, 2015: Storm Surge Modeling Tools for Planning and Response
No abstract provided.
Designing Effective Video-Based Modeling Examples Using Gaze And Gesture Cues, Kim Ouwehand, Tamara Van Gog, Fred Paas
Designing Effective Video-Based Modeling Examples Using Gaze And Gesture Cues, Kim Ouwehand, Tamara Van Gog, Fred Paas
Faculty of Social Sciences - Papers (Archive)
Research suggests that learners will likely spend a substantial amount of time looking at the model's face when it is visible in a video-based modeling example. Consequently, in this study we hypothesized that learners might not attend timely to the task areas the model is referring to, unless their attention is guided to such areas by the model's gaze or gestures. Results showed that the students in all conditions looked more at the female model than at the task area she referred to. However, the data did show a gradual decline in the difference between attention toward the model and …
Modeling And Current Control Strategy For A Medium-Voltage Cascaded Multilevel Statcom With Lcl Filter, Xuehua Zhao, Liping Shi, Libing Chen, Zhenglong Xia, A R. Bendre
Modeling And Current Control Strategy For A Medium-Voltage Cascaded Multilevel Statcom With Lcl Filter, Xuehua Zhao, Liping Shi, Libing Chen, Zhenglong Xia, A R. Bendre
Faculty of Engineering and Information Sciences - Papers: Part A
The Static Synchronous Compensator (STATCOM a.k.a. SVG) is widely used to regulate dynamic reactive power and to solve dynamic voltage stability problems. Modeling shows that a cascaded STATCOM, which is composed of several cascaded H-bridges, not only has strong coupling characteristics when an LCL filter is added but it is also a non-linear, multivariable system. Therefore, its practical design and application are difficult to mplement. In this paper an internal decoupling control algorithm is introduced to provide independent control of the active and reactive currents. Decoupling control algorithms are proposed, and models and simulation of the decoupling are provided. We …
Modeling Minimum Transport Boundary For Fluidized Dense-Phase Pneumatic Conveying Systems, G Setia, Soumya Suddha Mallick, Renhu Pan, Peter W. Wypych
Modeling Minimum Transport Boundary For Fluidized Dense-Phase Pneumatic Conveying Systems, G Setia, Soumya Suddha Mallick, Renhu Pan, Peter W. Wypych
Faculty of Engineering and Information Sciences - Papers: Part A
For the reliable design of fluidized dense-phase pneumatic conveying systems, it is of paramount importance to accurately estimate blockage conditions or the minimum transport boundary. Existing empirical models for the fluidized dense-phase conveying of fine powders are either based on a limited number of products and pipelines or have not been tested for their accuracy and stability over a wide range of scale-up conditions. In this paper, based on the test results of 22 different powders conveyed through 38 pipelines, a unified model for the minimum transport boundary has been developed that represents gas Froude number as a function of …
Modeling Secondary Particle Tracks Generated By High-Energy Protons In Water, Francisco Blanco, Antonio Munoz, Diego T. Almeida, F. Ferreira Da Silva, Paulo Limao-Vieira, Alexey Verkhovtsev, L Ellis-Gibbings, K Krupa, A Traore, G Garcia
Modeling Secondary Particle Tracks Generated By High-Energy Protons In Water, Francisco Blanco, Antonio Munoz, Diego T. Almeida, F. Ferreira Da Silva, Paulo Limao-Vieira, Alexey Verkhovtsev, L Ellis-Gibbings, K Krupa, A Traore, G Garcia
Faculty of Engineering and Information Sciences - Papers: Part A
We present interaction probability data of low-energy secondary electrons and positrons produced due to the proton impact. The probability distribution functions serve as input data for the Low Energy Particle Track Simulation (LEPTS) approach which allows one to include the effect of low-energy species in medical applications of radiation and in ion-beam cancer therapy, in particular.
On The Question Of Effective Sample Size In Network Modeling: An Asymptotic Inquiry, Pavel N. Krivitsky, Eric D. Kolaczyk
On The Question Of Effective Sample Size In Network Modeling: An Asymptotic Inquiry, Pavel N. Krivitsky, Eric D. Kolaczyk
Faculty of Engineering and Information Sciences - Papers: Part A
The modeling and analysis of networks and network data has seen an explosion of interest in recent years and represents an exciting direction for potential growth in statistics. Despite the already substantial amount of work done in this area to date by researchers from various disciplines, however, there remain many questions of a decidedly foundational nature - natural analogues of standard questions already posed and addressed in more classical areas of statistics - that have yet to even be posed, much less addressed. Here we raise and consider one such question in connection with network modeling. Specifically, we ask, "Given …
Long-Term Functionality Of Rural Water Services In Developing Countries: A System Dynamics Approach To Understanding The Dynamic Interaction Of Causal Factors, Jeffrey P. Walters, Amy N. Javernick-Will
Long-Term Functionality Of Rural Water Services In Developing Countries: A System Dynamics Approach To Understanding The Dynamic Interaction Of Causal Factors, Jeffrey P. Walters, Amy N. Javernick-Will
Faculty Publications - Biomedical, Mechanical, and Civil Engineering
Research has shown that sustainability of rural water infrastructure in developing countries is largely affected by the dynamic and systemic interactions of technical, social, financial, institutional, and environmental factors that can lead to premature water system failure. This research employs systems dynamic modeling, which uses feedback mechanisms to understand how these factors interact dynamically to influence long-term rural water system functionality. To do this, the research first identified and aggregated key factors from literature, then asked water sector experts to indicate the polarity and strength between factors through Delphi and cross impact survey questionnaires, and finally used system dynamics modeling …
An Efficient Background Modeling Approach Based On Vehicle Detection, Jia-Yan Wang, Limei Song, Jiangtao Xi, Qinghua Guo
An Efficient Background Modeling Approach Based On Vehicle Detection, Jia-Yan Wang, Limei Song, Jiangtao Xi, Qinghua Guo
Faculty of Engineering and Information Sciences - Papers: Part A
The existing Gaussian Mixture Model(GMM) which is widely used in vehicle detection suffers inefficiency in detecting foreground image during the model phase, because it needs quite a long time to blend the shadows in the background. In order to overcome this problem, an improved method is proposed in this paper. First of all, each frame is divided into several areas(A, B, C and D), Where area A, B, C and D are decided by the frequency and the scale of the vehicle access. For each area, different new learning rate including weight, mean and variance is applied to accelerate the …