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Supporting Shrinkage: Better Planning And Decision-Making For Shrinking Cities, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman 2016 Tufts University

Supporting Shrinkage: Better Planning And Decision-Making For Shrinking Cities, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman

Michael P. Johnson

The goal of this book is to describe and analyze a powerful new tool to help shrinking cities: analytics, in particular, decision models. The poster child for decline, Detroit, Michigan, has been subject to much media and scholarly attention in recent years with its ongoing depopulation and recent bankruptcy filing. In a New York Times story on the city’s new mayor, the reporter asked the question: “Do services and infrastructure designed for all of this city’s 139 square miles still make sense with a population of 700,000 and stretches of blocks where only a few houses remain ...


Improving The Player's Recruiting Process By Using Scenario Based Analysis Methodology, Dotan I. Shvorin, Kevin M. Taaffe 2016 Clemson University

Improving The Player's Recruiting Process By Using Scenario Based Analysis Methodology, Dotan I. Shvorin, Kevin M. Taaffe

Dotan Shvorin

High performance physical characteristics can be found today in most of the potential recruits for any given athletic program. It has become increasingly difficult to select the right candidate based solely on physical or mental characteristics. There is growing need for a recruiter to evaluate the decision-making (DM) capability of a player in order to differentiate between predicted levels of performance. The scenario based analysis (SBA) methodology is a unique approach to evaluating such decision-making capabilities while enabling any recruiting process to customize the potential candidate evaluation, based on its specific program needs. The proposed methodology provides a platform for ...


Decision Science For Housing And Community Development: Localized And Evidence‐Based Responses To Distressed Housing And Blighted Communities, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David Turcotte, Armagan Bayram, Rachel B. Drew 2015 University of Massachusetts - Boston

Decision Science For Housing And Community Development: Localized And Evidence‐Based Responses To Distressed Housing And Blighted Communities, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David Turcotte, Armagan Bayram, Rachel B. Drew

Michael P. Johnson

This book will present decision models and applications to an important contemporary issue in urban housing and community development: local responses to the foreclosure crisis. The roots of this book are a National Science Foundation-funded project as well as an antecedent pilot project that served as a response to a phenomenon with multiple causes and large-scale and wide-ranging impacts on people, communities and markets worldwide, including in urbanized areas of the United States. The book will demonstrate that a diverse set of decision models, developed to respond to the recent foreclosure crisis in the US, can contribute to emerging scholarship ...


Identifying Geographical Interdependency In Critical Infrastructure Systems Using Open Source Geospatial Data In Order To Model Restoration Strategies In The Aftermath Of A Large-Scale Disaster, Varun Ramachandran, Tom Shoberg, Suzanna Long, Steven Corns, Hector Carlo 2015 Missouri University of Science and Technology

Identifying Geographical Interdependency In Critical Infrastructure Systems Using Open Source Geospatial Data In Order To Model Restoration Strategies In The Aftermath Of A Large-Scale Disaster, Varun Ramachandran, Tom Shoberg, Suzanna Long, Steven Corns, Hector Carlo

International Journal of Geospatial and Environmental Research

In the wake of a large-scale disaster, strategies for emergency search and rescue, short-term recovery and medium- to long-term restoration are needed. While considerable effort is geared to developing strategies for the former two options, little comprehensive guidance exists on the latter. However, medium- to long-term restoration has a significant effect on local, regional and national economies and is essential to community vitality. In part, the deficit of robust strategies can be linked to the complexity in the data acquisition and limited methodologies to understand the interconnectedness of the relevant systems elements. This research utilizes infrastructure data for Supply Chain ...


Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman 2015 University of Massachusetts - Boston

Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman

Michael P. Johnson

Many older cities in the United States confront the problem of long-term decline in population and economic activity resulting in blighted conditions that make conventional revitalization initiatives unlikely to succeed. Smart shrinkage, a planning approach that emphasizes alternative land uses while preserving quality of life, offers a way for cities to remain desirable places to live and work. However, there is little research on empirical methods to support planning decisions consistent with smart shrinkage. We present results from two studies with planners from the City of Baltimore that provide novel insights regarding ways in which planners can perform vacant property ...


Improving Clinical Workflow In Ambulatory Care: Implemented Recommendations In An Innovation Prototype For The Veteran’S Health Administration, Emily S. Patterson, Svetlana Z. Lowry, Mala Ramaiah, Michael C. Gibbons, David Brick, Robert Calco, Greg Matton, Anne Miller, Ellen Makar, Jorge A. Ferrer 2015 Ohio State University - Main Campus

Improving Clinical Workflow In Ambulatory Care: Implemented Recommendations In An Innovation Prototype For The Veteran’S Health Administration, Emily S. Patterson, Svetlana Z. Lowry, Mala Ramaiah, Michael C. Gibbons, David Brick, Robert Calco, Greg Matton, Anne Miller, Ellen Makar, Jorge A. Ferrer

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: Human factors workflow analyses in healthcare settings prior to technology implemented are recommended to improve workflow in ambulatory care settings. In this paper we describe how insights from a workflow analysis conducted by NIST were implemented in a software prototype developed for a Veteran’s Health Administration (VHA) VAi2 innovation project and associated lessons learned.

Methods: We organize the original recommendations and associated stages and steps visualized in process maps from NIST and the VA’s lessons learned from implementing the recommendations in the VAi2 prototype according to four stages: 1) before the patient visit, 2) during the visit ...


Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman 2015 University of Massachusetts - Boston

Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman

Michael P. Johnson

Many older cities in the United States confront the problem of long-term declines in population and economic activity resulting in blighted conditions that make conventional revitalization initiatives unlikely to succeed. Smart shrinkage, a planning approach that emphasizes alternative land uses while preserving quality of life, offers a way for cities to remain desirable places to live and work. However, there is little research on empirical methods to support planning decisions consistent with smart shrinkage.

We present results from two studies with planners from the City of Baltimore that provide novel insights regarding ways in which planners can perform vacant property ...


Safety And Efficacy Results Of Switch From Imiglucerase To Velaglucerase Alfa Treatment In Patients With Type 1 Gaucher Disease, Deborah Elstein, Atul Mehta, Derralynn A. Hughes, Pilar Giraldo, Joel Charrow, Laurie Smith, Suma P. Shankar, Thomas N. Hangartner, Yune Kunes, Nan Wang, Eric Crombez, Ari Zimran 2015 Wright State University - Main Campus

Safety And Efficacy Results Of Switch From Imiglucerase To Velaglucerase Alfa Treatment In Patients With Type 1 Gaucher Disease, Deborah Elstein, Atul Mehta, Derralynn A. Hughes, Pilar Giraldo, Joel Charrow, Laurie Smith, Suma P. Shankar, Thomas N. Hangartner, Yune Kunes, Nan Wang, Eric Crombez, Ari Zimran

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Gaucher disease (GD) is a lysosomal storage disorder; symptomatic patients with type 1 GD need long-term disease-specific therapy of which the standard of care has been enzyme replacement therapy (ERT). Thirty-eight of 40 patients (aged 9–71 years) clinically stable on ERT with imiglucerase, safely switched to a comparable dose of velaglucerase alfa (units/kg) during TKT034, a 12-month, open-label clinical study, and for 10–50 months in an extension study. The most common adverse events (AEs) judged to be drug-related in the extension were fatigue and bone pain. No drug-related serious AEs were reported. No AEs led to study ...


Velaglucerase Alfa (Vpriv) Enzyme Replacement Therapy In Patients With Gaucher Disease: Long-Term Data From Phase Iii Clinical Trials, Derralynn A. Hughes, Derlis Gonzalez, Elena A. Lukina, Atul Mehta, Madhulika Kabra, Deborah Elstein, Isaac Kisinovsky, Pilar Giraldo, Ashish Bavdekar, Thomas N. Hangartner, Nan Wang, Eric Crombez, Ari Zimran 2015 Wright State University - Main Campus

Velaglucerase Alfa (Vpriv) Enzyme Replacement Therapy In Patients With Gaucher Disease: Long-Term Data From Phase Iii Clinical Trials, Derralynn A. Hughes, Derlis Gonzalez, Elena A. Lukina, Atul Mehta, Madhulika Kabra, Deborah Elstein, Isaac Kisinovsky, Pilar Giraldo, Ashish Bavdekar, Thomas N. Hangartner, Nan Wang, Eric Crombez, Ari Zimran

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Type 1 Gaucher disease is an inherited lysosomal enzyme deficiency with variable age of symptom onset. Common presenting signs include thrombocytopenia, anemia, hepatosplenomegaly, bone abnormalities, and, additionally in children, growth failure. Fifty-seven patients aged 3–62 years at the baseline of two phase III trials for velaglucerase alfa treatment were enrolled in the single extension study. In the extension, they received every-other-week velaglucerase alfa intravenous infusions for 1.2–4.8 years at 60 U/kg, although 10 patients experienced dose reduction. No patient experienced a drug-related serious adverse event or withdrew due to an adverse event. One patient died ...


Problem Tree & Italian Transport Companies, Sajjad Khaksari 2015 Politecnico di Torino

Problem Tree & Italian Transport Companies, Sajjad Khaksari

SAJJAD KHAKSARI

Slides of Report: Production System Analysis & Italian Transport Companies; A briefly endeavor to modeling, 3th edition; Problem Tree; Production Functions (PF's); Organization Chart; Information Pattern; Standard Time; Make-span (MS); Modeling; DM's; Work Sequence; Report; Table of Agents; Table of Resources; Production System Analysis & Italian Transport Companies

Course of Prof. Agostino Villa; Politecnico di Torino, Student: Sajjad Khaksari; June 11, 2015;


Measuring And Analysing The Effect Of Openings And Vibration On Reusable Pharmaceutical Insulated Boxes With Daily Distribution, Péter Böröcz, Ákos Mojzes, Péter Csavajda 2015 Széchenyi István Universtiy

Measuring And Analysing The Effect Of Openings And Vibration On Reusable Pharmaceutical Insulated Boxes With Daily Distribution, Péter Böröcz, Ákos Mojzes, Péter Csavajda

Journal of Applied Packaging Research

To control the climate when temperature sensitive drugs are delivered is an essential consideration of shippers and freight forwarders. It is common practice to utilize insulated boxes. A survey was conducted to determine the properties of these daily deliveries and factors were observed that influence the climate environment of drugs during travel. These factors included opening intervals, number of openings, trip times and distances. Then the results of the survey were used to perform the recorded circumstances of distribution in laboratory tests as close to reality as possible and analyse the effect of the above-mentioned factors. During real distribution the ...


An Integrated Gray-Fuzzy Cause And Effect Approach To Determine The Most Significant Categories Of Project Risks, Amin Vafadarnikjoo, Mohammadsadegh Mobin, Christian Salmon, Nikbakhsh Javadian 2015 Allameh Tabatabaie University

An Integrated Gray-Fuzzy Cause And Effect Approach To Determine The Most Significant Categories Of Project Risks, Amin Vafadarnikjoo, Mohammadsadegh Mobin, Christian Salmon, Nikbakhsh Javadian

Amin Vafadarnikjoo

Identifying critical risks in projects has become a core step in project risk management process; however, the nature of this step can be complex and unstructured, suggesting a benefit in research towards prioritizing project risks on the basis of a cogent method. This paper presents a Gray Decision Making Trial and Evaluation Laboratory (GDEMATEL) method for prioritizing sources of project risk within a multi-criteria decision making (MCDM) framework. The framework categorizes sources of risk via the Project Management Institutes’ (PMI) Risk Breakdown Structure (RBS). For this study, project expert judgments and preferences are the source of knowledge about project risk ...


An Integrated Ahp-Gis-Mclp Method To Locate Bank Branches, Sajjad Allahi, Mohammadsadegh Mobin, Amin Vafadarnikjoo, Christian Salmon 2015 Allameh Tabataba'i University

An Integrated Ahp-Gis-Mclp Method To Locate Bank Branches, Sajjad Allahi, Mohammadsadegh Mobin, Amin Vafadarnikjoo, Christian Salmon

Amin Vafadarnikjoo

One of the most crucial decision making processes in banking is optimally locating new branches. This issue is highly important especially for private banks due to vibrant competition, limited budgets and high customer expectations. This study’s objective is to provide an integrated model for selecting optimal site location using available data sources and well accepted decision models, specifically Analytic Hierarchy Process (AHP), Geographic Information System (GIS) and Maximal Covering Location Problem (MCLP).As a case study, we applied the proposed method for branch location of a private bank in the city of Rasht, Iran. The process identified the most ...


An Integrated Ahp-Gis-Mclp Method To Locate Bank Branches, Sajjad Allahi, Mohammadsadegh Mobin, Amin Vafadarnikjoo, Christian Salmon 2015 Allameh Tabataba'i University

An Integrated Ahp-Gis-Mclp Method To Locate Bank Branches, Sajjad Allahi, Mohammadsadegh Mobin, Amin Vafadarnikjoo, Christian Salmon

Mohammadsadegh Mobin

One of the most crucial decision making processes in banking is optimally locating new branches. This issue is highly important especially for private banks due to vibrant competition, limited budgets and high customer expectations. This study’s objective is to provide an integrated model for selecting optimal site location using available data sources and well accepted decision models, specifically Analytic Hierarchy Process (AHP), Geographic Information System (GIS) and Maximal Covering Location Problem (MCLP).As a case study, we applied the proposed method for branch location of a private bank in the city of Rasht, Iran. The process identified the most ...


An Integrated Gray-Fuzzy Cause And Effect Approach To Determine The Most Significant Categories Of Project Risks, Amin Vafadarnikjoo, Mohammadsadegh Mobin, Christian Salmon, Nikbakhsh Javadian 2015 Allameh Tabatabaie University

An Integrated Gray-Fuzzy Cause And Effect Approach To Determine The Most Significant Categories Of Project Risks, Amin Vafadarnikjoo, Mohammadsadegh Mobin, Christian Salmon, Nikbakhsh Javadian

Mohammadsadegh Mobin

Identifying critical risks in projects has become a core step in project risk management process; however, the nature of this step can be complex and unstructured, suggesting a benefit in research towards prioritizing project risks on the basis of a cogent method. This paper presents a Gray Decision Making Trial and Evaluation Laboratory (GDEMATEL) method for prioritizing sources of project risk within a multi-criteria decision making (MCDM) framework. The framework categorizes sources of risk via the Project Management Institutes’ (PMI) Risk Breakdown Structure (RBS). For this study, project expert judgments and preferences are the source of knowledge about project risk ...


Solar Cal Poly Active Hvac Project, James Cornish, Jake Cosmo, Patrick Weston 2015 California Polytechnic State University

Solar Cal Poly Active Hvac Project, James Cornish, Jake Cosmo, Patrick Weston

Mechanical Engineering

For this project, the goal was to conceptualize, design, test, and implement an active HVAC system to be used in the Solar Cal Poly house competing in the Department of Energy’s 2015 Solar Decathlon. With many house iterations, it was decided to use a split system with an outdoor heat pump and indoor air handler, paired with a HRV for ventilation. Through system modeling using Design Builder and Energy Pro 6.5, the cooling load of the house was determined along with the cooling schedule. The foreseen safety precautions and limited construction time guided the entire project, along with ...


Global Sensitivity Analysis Applied To Model Inversion Problems: A Contribution To Rail Condition Monitoring, René Schenkendorf, Jörn Groos 2015 German Aerospace Center

Global Sensitivity Analysis Applied To Model Inversion Problems: A Contribution To Rail Condition Monitoring, René Schenkendorf, Jörn Groos

René Schenkendorf

Rising demands on railroad infrastructure operator by means of profitability and punctuality call for advanced concepts of Prognostics and Health Management. Condition based preventive maintenance aims at strengthening the rail mode of transport through an optimized scheduling of maintenance actions based on the actual and prognosticated infrastructure condition, respectively. When applying model-based algorithms within the framework of Prognostics and Health Management unknown model parameters have to be identified first. Which of these parameters should be known as precisely as possible can be figured out systematically by a sensitivity analysis. A comprehensive global sensitivity analysis, however, might be prohibitive by means ...


Preliminary Evaluation Of The Disease Surveillance System During Influenza Outbreaks Of Pandemic Scale, Eric Meisheri, Diana M. Prieto, Peter Holvenstot, Richard VanEnk 2015 Western Michigan University

Preliminary Evaluation Of The Disease Surveillance System During Influenza Outbreaks Of Pandemic Scale, Eric Meisheri, Diana M. Prieto, Peter Holvenstot, Richard Vanenk

Frontiers in Public Health Services and Systems Research

In the United States it is currently unknown whether the influenza surveillance system is capable of producing timely and accurate data for case estimation during an outbreak of pandemic scale. This simulation provides a preliminary evaluation of the surveillance system’s ability to collect data and produce timely and accurate trends of cases confirmed with an influenza virus. For the evaluation, a computer-based simulation of the data-collection process was used, which was validated with real demographic and epidemiologic information. The results were analyzed to determine the most significant behavioral and operational factors influencing the data collection and to propose the ...


Topsis As A Method To Populate Risk Matrix Axes, Christian Salmon, Mohammadsadegh Mobin, Afshan Roshani 2015 Western New England UniversityWestern New England University

Topsis As A Method To Populate Risk Matrix Axes, Christian Salmon, Mohammadsadegh Mobin, Afshan Roshani

Mohammadsadegh Mobin

This research utilizes TOPSIS (a Multi-Criteria ranking methodology) to populate the axes of a risk matrix when modeling risk exposure onboard commercial fishing vessels with the intent to identify mitigating interventions in low risk settings for possible transfer to high risk settings. The specific hazard of interest is the release of refrigerants into confined spaces onboard commercial fishing vessels. The metrics of risk are: 1) expectation that refrigerants are released onboard vessels, and 2) consequence of releases that have occurred. To model expectation: data were collected on the United States’ commercial fisheries, including location and number of participating vessels. These ...


Multi-Objective X-Bar Control Chart Design By Integrating Nsga-Ii And Data Envelopment Analysis, Mohammadsadegh Mobin, Zhaojun Li, Mahdi Massahi Khoraskani 2015 Western New England University

Multi-Objective X-Bar Control Chart Design By Integrating Nsga-Ii And Data Envelopment Analysis, Mohammadsadegh Mobin, Zhaojun Li, Mahdi Massahi Khoraskani

Mohammadsadegh Mobin

Control charts are widely used in industry to establish and maintain statistical control of a process for quality improvement. Economic use of a control chart calls for designing the optimal parameters for sample size, sampling frequency, and the control limits for the chart. This paper investigates the X-bar control chart design through a two-stage multi-objective optimization process. The multi-objective formulation reflects the multiple objective needs in designing an X-bar control chart. For example, these objectives may include average run length when in statistical control, the type-I error, and the detection power. The optimization process first searches the Pareto Frontiers using ...


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