Science.gov

Sample records for infrastructure interdependency modeling

  1. Reliable Communication Models in Interdependent Critical Infrastructure Networks

    SciTech Connect

    Lee, Sangkeun; Chinthavali, Supriya; Shankar, Mallikarjun

    2016-01-01

    Modern critical infrastructure networks are becoming increasingly interdependent where the failures in one network may cascade to other dependent networks, causing severe widespread national-scale failures. A number of previous efforts have been made to analyze the resiliency and robustness of interdependent networks based on different models. However, communication network, which plays an important role in today's infrastructures to detect and handle failures, has attracted little attention in the interdependency studies, and no previous models have captured enough practical features in the critical infrastructure networks. In this paper, we study the interdependencies between communication network and other kinds of critical infrastructure networks with an aim to identify vulnerable components and design resilient communication networks. We propose several interdependency models that systematically capture various features and dynamics of failures spreading in critical infrastructure networks. We also discuss several research challenges in building reliable communication solutions to handle failures in these models.

  2. CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS

    SciTech Connect

    Donald D. Dudenhoeffer; May R. Permann; Milos Manic

    2006-12-01

    Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.

  3. Hierarchical Coloured Petrinet Based Healthcare Infrastructure Interdependency Model

    NASA Astrophysics Data System (ADS)

    Nivedita, N.; Durbha, S.

    2014-11-01

    To ensure a resilient Healthcare Critical Infrastructure, understanding the vulnerabilities and analysing the interdependency on other critical infrastructures is important. To model this critical infrastructure and its dependencies, Hierarchal Coloured petri net modelling approach for simulating the vulnerability of Healthcare Critical infrastructure in a disaster situation is studied.. The model enables to analyse and understand various state changes, which occur when there is a disruption or damage to any of the Critical Infrastructure, and its cascading nature. It also enables to explore optimal paths for evacuation during the disaster. The simulation environment can be used to understand and highlight various vulnerabilities of Healthcare Critical Infrastructure during a flood disaster scenario; minimize consequences; and enable timely, efficient response.

  4. Network Interdependency Modeling for Risk Assessment on Built Infrastructure Systems

    DTIC Science & Technology

    2013-10-01

    Generally, infrastructure sectors (such as transportation, electrical, water/ wastewater , facilities, etc.) are examined in isolation without regard to...classified under the broad term of functional interdependency while spatial interdependencies receive the same treatment as a geographical

  5. Stochastic Coloured Petrinet Based Healthcare Infrastructure Interdependency Model

    NASA Astrophysics Data System (ADS)

    Nukavarapu, Nivedita; Durbha, Surya

    2016-06-01

    The Healthcare Critical Infrastructure (HCI) protects all sectors of the society from hazards such as terrorism, infectious disease outbreaks, and natural disasters. HCI plays a significant role in response and recovery across all other sectors in the event of a natural or manmade disaster. However, for its continuity of operations and service delivery HCI is dependent on other interdependent Critical Infrastructures (CI) such as Communications, Electric Supply, Emergency Services, Transportation Systems, and Water Supply System. During a mass casualty due to disasters such as floods, a major challenge that arises for the HCI is to respond to the crisis in a timely manner in an uncertain and variable environment. To address this issue the HCI should be disaster prepared, by fully understanding the complexities and interdependencies that exist in a hospital, emergency department or emergency response event. Modelling and simulation of a disaster scenario with these complexities would help in training and providing an opportunity for all the stakeholders to work together in a coordinated response to a disaster. The paper would present interdependencies related to HCI based on Stochastic Coloured Petri Nets (SCPN) modelling and simulation approach, given a flood scenario as the disaster which would disrupt the infrastructure nodes. The entire model would be integrated with Geographic information based decision support system to visualize the dynamic behaviour of the interdependency of the Healthcare and related CI network in a geographically based environment.

  6. Modeling flood induced interdependencies among hydroelectricity generating infrastructures.

    PubMed

    Sultana, S; Chen, Z

    2009-08-01

    This paper presents a new kind of integrated modeling method for simulating the vulnerability of a critical infrastructure for a hazard and the subsequent interdependencies among the interconnected infrastructures. The developed method has been applied to a case study of a network of hydroelectricity generating infrastructures, e.g., water storage concrete gravity dam, penstock, power plant and transformer substation. The modeling approach is based on the fragility curves development with Monte Carlo simulation based structural-hydraulic modeling, flood frequency analysis, stochastic Petri net (SPN) modeling, and Markov Chain analysis. A certain flood level probability can be predicted from flood frequency analysis, and the most probable damage condition for this hazard can be simulated from the developed fragility curves of the dam. Consequently, the resulting interactions among the adjacent infrastructures can be quantified with SPN analysis; corresponding Markov Chain analysis simulates the long term probability matrix of infrastructure failures. The obtained results are quite convincing to prove the novel contribution of this research to the field of infrastructure interdependency analysis which might serve as a decision making tool for flood related emergency response and management.

  7. A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.

    SciTech Connect

    Brown, Nathanael J. K.; Gearhart, Jared Lee; Jones, Dean A.; Nozick, Linda Karen; Prince, Michael

    2013-09-01

    Currently, much of protection planning is conducted separately for each infrastructure and hazard. Limited funding requires a balance of expenditures between terrorism and natural hazards based on potential impacts. This report documents the results of a Laboratory Directed Research & Development (LDRD) project that created a modeling framework for investment planning in interdependent infrastructures focused on multiple hazards, including terrorism. To develop this framework, three modeling elements were integrated: natural hazards, terrorism, and interdependent infrastructures. For natural hazards, a methodology was created for specifying events consistent with regional hazards. For terrorism, we modeled the terrorists actions based on assumptions regarding their knowledge, goals, and target identification strategy. For infrastructures, we focused on predicting post-event performance due to specific terrorist attacks and natural hazard events, tempered by appropriate infrastructure investments. We demonstrate the utility of this framework with various examples, including protection of electric power, roadway, and hospital networks.

  8. Critical Infrastructure Interdependency Modeling: A Survey of U.S. and International Research

    SciTech Connect

    Not Available

    2006-08-01

    The Nation’s health, wealth, and security rely on the production and distribution of certain goods and services. The array of physical assets, processes, and organizations across which these goods and services move are called "critical infrastructures".1 This statement is as true in the U.S. as in any country in the world. Recent world events such as the 9-11 terrorist attacks, London bombings, and gulf coast hurricanes have highlighted the importance of stable electric, gas and oil, water, transportation, banking and finance, and control and communication infrastructure systems. Be it through direct connectivity, policies and procedures, or geospatial proximity, most critical infrastructure systems interact. These interactions often create complex relationships, dependencies, and interdependencies that cross infrastructure boundaries. The modeling and analysis of interdependencies between critical infrastructure elements is a relatively new and very important field of study. The U.S. Technical Support Working Group (TSWG) has sponsored this survey to identify and describe this current area of research including the current activities in this field being conducted both in the U.S. and internationally. The main objective of this study is to develop a single source reference of critical infrastructure interdependency modeling tools (CIIMT) that could be applied to allow users to objectively assess the capabilities of CIIMT. This information will provide guidance for directing research and development to address the gaps in development. The results will inform researchers of the TSWG Infrastructure Protection Subgroup of research and development efforts and allow a more focused approach to addressing the needs of CIIMT end-user needs. This report first presents the field of infrastructure interdependency analysis, describes the survey methodology, and presents the leading research efforts in both a cumulative table and through individual datasheets. Data was

  9. Multi-Model Framework for Investigating Potential Climate Change Impacts on Interdependent Critical Infrastructure

    NASA Astrophysics Data System (ADS)

    Sylvester, L.; Allen, M. R.; Wilbanks, T. J.

    2015-12-01

    Built infrastructure consists of a series of interconnected networks with many coupled interdependencies. Traditionally, risk and vulnerability assessments are conducted one infrastructure at a time, considering only direct impacts on built and planned assets. However, extreme events caused by climate change affect local communities in different respects and stress vital interconnected infrastructures in complex ways that cannot be captured with traditional risk assessment methodologies. We employ a combination of high-performance computing, geographical information science, and imaging methods to examine the impacts of climate change on infrastructure for cities in two different climate regions: Chicago, Illinois in the Midwest and Portland, Maine (and Casco Bay area) in the Northeast. In Illinois, we evaluate effects of changes in regional temperature and precipitation, informed by an extreme climate change projection, population growth and migration, water supply, and technological development, on electricity generation and consumption. In Maine, we determine the aggregate effects of sea level rise, changing precipitation patterns, and population shifts on the depth of the freshwater-saltwater interface in coastal aquifers and the implications of these changes for water supply in general. The purpose of these efforts is to develop a multi-model framework for investigating potential climate change impacts on interdependent critical infrastructure assessing both vulnerabilities and alternative adaptive measures.

  10. Identifying, understanding, and analyzing critical infrastructure interdependencies.

    SciTech Connect

    Rinaldi, S. M.; Peerenboom, J. P.; Kelly, T. K.; Decision and Information Sciences

    2001-12-01

    The notion that our nation's critical infrastructures are highly interconnected and mutually dependent in complex ways, both physically and through a host of information and communications technologies (so-called 'cyberbased systems'), is more than an abstract, theoretical concept. As shown by the 1998 failure of the Galaxy 4 telecommunications satellite, the prolonged power crisis in California, and many other recent infrastructure disruptions, what happens to one infrastructure can directly and indirectly affect other infrastructures, impact large geographic regions and send ripples throughout the national a global economy. This article presents a conceptual framework for addressing infrastructure interdependencies that could serve as the basis for further understanding and scholarship in this important area. We use this framework to explore the challenges and complexities of interdependency. We set the stage for this discussion by explicitly defining the terms infrastructure, infrastructure dependencies, and infrastructure interdependencies and introducing the fundamental concept of infrastructures as complex adaptive systems. We then focus on the interrelated factors and system conditions that collectively define the six dimensions. Finally, we discuss some of the research challenges involved in developing, applying, and validating modeling and simulation methodologies and tools for infrastructure interdependency analysis.

  11. Genetic Algorithms for Agent-Based Infrastructure Interdependency Modeling and Analysis

    SciTech Connect

    May Permann

    2007-03-01

    Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, electric power, telecommunication, and financial networks. This paper describes initial research combining agent-based infrastructure modeling software and genetic algorithms (GAs) to help optimize infrastructure protection and restoration decisions. This research proposes to apply GAs to the problem of infrastructure modeling and analysis in order to determine the optimum assets to restore or protect from attack or other disaster. This research is just commencing and therefore the focus of this paper is the integration of a GA optimization method with a simulation through the simulation’s agents.

  12. Cyber and physical infrastructure interdependencies.

    SciTech Connect

    Phillips, Laurence R.; Kelic, Andjelka; Warren, Drake E.

    2008-09-01

    The goal of the work discussed in this document is to understand the risk to the nation of cyber attacks on critical infrastructures. The large body of research results on cyber attacks against physical infrastructure vulnerabilities has not resulted in clear understanding of the cascading effects a cyber-caused disruption can have on critical national infrastructures and the ability of these affected infrastructures to deliver services. This document discusses current research and methodologies aimed at assessing the translation of a cyber-based effect into a physical disruption of infrastructure and thence into quantification of the economic consequences of the resultant disruption and damage. The document discusses the deficiencies of the existing methods in correlating cyber attacks with physical consequences. The document then outlines a research plan to correct those deficiencies. When completed, the research plan will result in a fully supported methodology to quantify the economic consequences of events that begin with cyber effects, cascade into other physical infrastructure impacts, and result in degradation of the critical infrastructure's ability to deliver services and products. This methodology enables quantification of the risks to national critical infrastructure of cyber threats. The work addresses the electric power sector as an example of how the methodology can be applied.

  13. Post-disaster supply chain interdependent critical infrastructure system restoration: A review of data necessary and available for modeling

    USGS Publications Warehouse

    Ramachandran, Varun; Long, Suzanna K.; Shoberg, Thomas G.; Corns, Steven; Carlo, Hector J.

    2016-01-01

    The majority of restoration strategies in the wake of large-scale disasters have focused on short-term emergency response solutions. Few consider medium- to long-term restoration strategies to reconnect urban areas to national supply chain interdependent critical infrastructure systems (SCICI). These SCICI promote the effective flow of goods, services, and information vital to the economic vitality of an urban environment. To re-establish the connectivity that has been broken during a disaster between the different SCICI, relationships between these systems must be identified, formulated, and added to a common framework to form a system-level restoration plan. To accomplish this goal, a considerable collection of SCICI data is necessary. The aim of this paper is to review what data are required for model construction, the accessibility of these data, and their integration with each other. While a review of publically available data reveals a dearth of real-time data to assist modeling long-term recovery following an extreme event, a significant amount of static data does exist and these data can be used to model the complex interdependencies needed. For the sake of illustration, a particular SCICI (transportation) is used to highlight the challenges of determining the interdependencies and creating models capable of describing the complexity of an urban environment with the data publically available. Integration of such data as is derived from public domain sources is readily achieved in a geospatial environment, after all geospatial infrastructure data are the most abundant data source and while significant quantities of data can be acquired through public sources, a significant effort is still required to gather, develop, and integrate these data from multiple sources to build a complete model. Therefore, while continued availability of high quality, public information is essential for modeling efforts in academic as well as government communities, a more

  14. Critical Infrastructure Modeling: An Approach to Characterizing Interdependencies of Complex Networks & Control Systems

    SciTech Connect

    Stuart Walsh; Shane Cherry; Lyle Roybal

    2009-05-01

    Critical infrastructure control systems face many challenges entering the 21st century, including natural disasters, cyber attacks, and terrorist attacks. Revolutionary change is required to solve many existing issues, including gaining greater situational awareness and resiliency through embedding modeling and advanced control algorithms in smart sensors and control devices instead of in a central controller. To support design, testing, and component analysis, a flexible simulation and modeling capability is needed. Researchers at Idaho National Laboratory are developing and evaluating such a capability through their CIPRsim modeling and simulation framework.

  15. Analysis of Critical Infrastructure Dependencies and Interdependencies

    SciTech Connect

    Petit, Frederic; Verner, Duane; Brannegan, David; Buehring, William; Dickinson, David; Guziel, Karen; Haffenden, Rebecca; Phillips, Julia; Peerenboom, James

    2015-06-01

    The report begins by defining dependencies and interdependencies and exploring basic concepts of dependencies in order to facilitate a common understanding and consistent analytical approaches. Key concepts covered include; Characteristics of dependencies: upstream dependencies, internal dependencies, and downstream dependencies; Classes of dependencies: physical, cyber, geographic, and logical; and Dimensions of dependencies: operating environment, coupling and response behavior, type of failure, infrastructure characteristics, and state of operations From there, the report proposes a multi-phase roadmap to support dependency and interdependency assessment activities nationwide, identifying a range of data inputs, analysis activities, and potential products for each phase, as well as key steps needed to progress from one phase to the next. The report concludes by outlining a comprehensive, iterative, and scalable framework for analyzing dependencies and interdependencies that stakeholders can integrate into existing risk and resilience assessment efforts.

  16. An agent-based tool for infrastructure interdependency policy analysis.

    SciTech Connect

    North, M. J.

    2000-12-14

    Complex Adaptive Systems (CAS) can be applied to investigate complex infrastructure interdependencies such as those between the electric power and natural gas markets. These markets are undergoing fundamental transformations including major changes in electric generator fuel sources. Electric generators that use natural gas as a fuel source are rapidly gaining market share. These generators introduce direct interdependency between the electric power and natural gas markets. These interdependencies have been investigated using the emergent behavior of CAS model agents within the Spot Market Agent Research Tool Version 2.0 Plus Natural Gas (SMART II+).

  17. Spatial-Temporal Quantification of Interdependencies Across Infrastructure Networks

    NASA Astrophysics Data System (ADS)

    Chan, Christopher; Dueñas-Osorio, Leonardo

    As infrastructure networks become more complex and intertwined, the relevance of network interdependency research is increasingly evident. Interconnected networks bring about efficiencies during normal operations but also come with risks of cascading failures with disaster events. An adequate understanding of network interdependencies and realistic multi-system modeling capabilities enable the exploration of practical operation strategies and mitigation efforts applicable to existing or future coupled networked systems. This chapter examines recent efforts in quantifying infrastructure network interdependencies through spatial and time-series analyses to reveal the heterogeneity and complexity in their coupling. Furthermore, a combined spatial-temporal methodology is recommended for the future calibration and validation of theoretical and computational models of interdependent networks of networks. An example case study is demonstrated using data derived from the 2010 Chilean Earthquake in the Talcahuano-Concepción region, which highlights the richness in coupling strengths across infrastructure systems, both as a function of time and geographical extent. Insights for design and control of coupled networks are also derivable from joint spatial-temporal analyses of infrastructure interdependence and its evolution.

  18. Thresholds and Complex Dynamics of Interdependent Cascading Infrastructure Systems

    NASA Astrophysics Data System (ADS)

    Carreras, B. A.; Newman, D. E.; Dobson, I.; Lynch, V. E.; Gradney, Paul

    Critical infrastructures have a number of the characteristic properties of complex systems. Among these are infrequent large failures through cascading events. These events, though infrequent, often obey a power law distribution in their probability versus size which suggests that conventional risk analysis does not apply to these systems. Real infrastructure systems typically have an additional layer of complexity, namely the heterogeneous coupling to other infrastructure systems that can allow a failure in one system to propagate to the other system. Here, we model the infrastructure systems through a network with complex system dynamics. We use both mean field theory to get analytic results and a numerical complex systems model, Demon, for computational results. An isolated system has bifurcated fixed points and a cascading threshold which is the same as the bifurcation point. When systems are coupled, this is no longer true and the cascading threshold is different from the bifurcation point of the fixed point solutions. This change in the cascading threshold caused by the interdependence of the system can have an impact on the "safe operation" of interdependent infrastructure systems by changing the critical point and even the power law exponent.

  19. Geospatial decision support framework for critical infrastructure interdependency assessment

    NASA Astrophysics Data System (ADS)

    Shih, Chung Yan

    Critical infrastructures, such as telecommunications, energy, banking and finance, transportation, water systems and emergency services are the foundations of modern society. There is a heavy dependence on critical infrastructures at multiple levels within the supply chain of any good or service. Any disruptions in the supply chain may cause profound cascading effect to other critical infrastructures. A 1997 report by the President's Commission on Critical Infrastructure Protection states that a serious interruption in freight rail service would bring the coal mining industry to a halt within approximately two weeks and the availability of electric power could be reduced in a matter of one to two months. Therefore, this research aimed at representing and assessing the interdependencies between coal supply, transportation and energy production. A proposed geospatial decision support framework was established and applied to analyze interdependency related disruption impact. By utilizing the data warehousing approach, geospatial and non-geospatial data were retrieved, integrated and analyzed based on the transportation model and geospatial disruption analysis developed in the research. The results showed that by utilizing this framework, disruption impacts can be estimated at various levels (e.g., power plant, county, state, etc.) for preventative or emergency response efforts. The information derived from the framework can be used for data mining analysis (e.g., assessing transportation mode usages; finding alternative coal suppliers, etc.).

  20. Vulnerability analysis of interdependent infrastructure systems: A methodological framework

    NASA Astrophysics Data System (ADS)

    Wang, Shuliang; Hong, Liu; Chen, Xueguang

    2012-06-01

    Infrastructure systems such as power and water supplies make up the cornerstone of modern society which is essential for the functioning of a society and its economy. They become more and more interconnected and interdependent with the development of scientific technology and social economy. Risk and vulnerability analysis of interdependent infrastructures for security considerations has become an important subject, and some achievements have been made in this area. Since different infrastructure systems have different structural and functional properties, there is no universal all-encompassing 'silver bullet solution' to the problem of analyzing the vulnerability associated with interdependent infrastructure systems. So a framework of analysis is required. This paper takes the power and water systems of a major city in China as an example and develops a framework for the analysis of the vulnerability of interdependent infrastructure systems. Four interface design strategies based on distance, betweenness, degree, and clustering coefficient are constructed. Then two types of vulnerability (long-term vulnerability and focused vulnerability) are illustrated and analyzed. Finally, a method for ranking critical components in interdependent infrastructures is given for protection purposes. It is concluded that the framework proposed here is useful for vulnerability analysis of interdependent systems and it will be helpful for the system owners to make better decisions on infrastructure design and protection.

  1. Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence.

    PubMed

    Korkali, Mert; Veneman, Jason G; Tivnan, Brian F; Bagrow, James P; Hines, Paul D H

    2017-03-20

    Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a topological contagion model to a power grid model. Second, we compare a percolation model of internetwork cascading to three models of interdependent power-communication systems. In both comparisons, the more detailed models suggest substantially different conclusions, relative to the simpler topological models. In all but the most extreme case, our model of a "smart" power network coupled to a communication system suggests that increased power-communication coupling decreases vulnerability, in contrast to the percolation model. Together, these results suggest that robustness can be enhanced by interconnecting networks with complementary capabilities if modes of internetwork failure propagation are constrained.

  2. Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

    PubMed Central

    Korkali, Mert; Veneman, Jason G.; Tivnan, Brian F.; Bagrow, James P.; Hines, Paul D. H.

    2017-01-01

    Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a topological contagion model to a power grid model. Second, we compare a percolation model of internetwork cascading to three models of interdependent power-communication systems. In both comparisons, the more detailed models suggest substantially different conclusions, relative to the simpler topological models. In all but the most extreme case, our model of a “smart” power network coupled to a communication system suggests that increased power-communication coupling decreases vulnerability, in contrast to the percolation model. Together, these results suggest that robustness can be enhanced by interconnecting networks with complementary capabilities if modes of internetwork failure propagation are constrained. PMID:28317835

  3. Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

    NASA Astrophysics Data System (ADS)

    Korkali, Mert; Veneman, Jason G.; Tivnan, Brian F.; Bagrow, James P.; Hines, Paul D. H.

    2017-03-01

    Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a topological contagion model to a power grid model. Second, we compare a percolation model of internetwork cascading to three models of interdependent power-communication systems. In both comparisons, the more detailed models suggest substantially different conclusions, relative to the simpler topological models. In all but the most extreme case, our model of a “smart” power network coupled to a communication system suggests that increased power-communication coupling decreases vulnerability, in contrast to the percolation model. Together, these results suggest that robustness can be enhanced by interconnecting networks with complementary capabilities if modes of internetwork failure propagation are constrained.

  4. Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

    DOE PAGES

    Korkali, Mert; Veneman, Jason G.; Tivnan, Brian F.; ...

    2017-03-20

    Increased coupling between critical infrastructure networks, such as power and communication systems, has important implications for the reliability and security of these systems. To understand the effects of power-communication coupling, several researchers have studied models of interdependent networks and reported that increased coupling can increase vulnerability. However, these conclusions come largely from models that have substantially different mechanisms of cascading failure, relative to those found in actual power and communication networks, and that do not capture the benefits of connecting systems with complementary capabilities. In order to understand the importance of these details, this paper compares network vulnerability in simplemore » topological models and in models that more accurately capture the dynamics of cascading in power systems. First, we compare a simple model of topological contagion to a model of cascading in power systems and find that the power grid model shows a higher level of vulnerability, relative to the contagion model. Second, we compare a percolation model of topological cascading in coupled networks to three different models of power networks coupled to communication systems. Again, the more accurate models suggest very different conclusions than the percolation model. In all but the most extreme case, the physics-based power grid models indicate that increased power-communication coupling decreases vulnerability. This is opposite from what one would conclude from the percolation model, in which zero coupling is optimal. Only in an extreme case, in which communication failures immediately cause grid failures, did we find that increased coupling can be harmful. Together, these results suggest design strategies for reducing the risk of cascades in interdependent infrastructure systems.« less

  5. Agent-based modeling of complex infrastructures

    SciTech Connect

    North, M. J.

    2001-06-01

    Complex Adaptive Systems (CAS) can be applied to investigate complex infrastructures and infrastructure interdependencies. The CAS model agents within the Spot Market Agent Research Tool (SMART) and Flexible Agent Simulation Toolkit (FAST) allow investigation of the electric power infrastructure, the natural gas infrastructure and their interdependencies.

  6. Critical Infrastructure Modeling System

    SciTech Connect

    2004-10-01

    The Critical Infrastructure Modeling System (CIMS) is a 3D modeling and simulation environment designed to assist users in the analysis of dependencies within individual infrastructure and also interdependencies between multiple infrastructures. Through visual cuing and textual displays, a use can evaluate the effect of system perturbation and identify the emergent patterns that evolve. These patterns include possible outage areas from a loss of power, denial of service or access, and disruption of operations. Method of Solution: CIMS allows the user to model a system, create an overlay of information, and create 3D representative images to illustrate key infrastructure elements. A geo-referenced scene, satellite, aerial images or technical drawings can be incorporated into the scene. Scenarios of events can be scripted, and the user can also interact during run time to alter system characteristics. CIMS operates as a discrete event simulation engine feeding a 3D visualization.

  7. Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience

    NASA Astrophysics Data System (ADS)

    Chopra, Shauhrat S.; Khanna, Vikas

    2015-10-01

    Natural disasters in 2011 yielded close to 55 billion in economic damages alone in the United States (US), which highlights the need to reduce impacts of such disasters or other deliberate attacks. The US Department of Homeland Security (DHS) identifies a list of 16 Critical Infrastructure Sectors (CIS) whose incapacity due to disruptions would have a debilitating impact on the nation's economy. The goal of this work is to understand the implications of interdependencies among CIS on the resilience of the US economic system as a whole. We develop a framework that combines the empirical economic input-output (EIO) model with graph theory based techniques for understanding interdependencies, interconnectedness and resilience in the US economic system. By representing the US economy as a network, we are able to analyze its topology by separately looking at its unweighted and weighted forms. Topological analysis of the US EIO network suggests that it exhibits small world properties for the unweighted case, and in the weighted case, the throughput of industry sectors follows a power-law with an exponential cutoff. Implications of these topological properties are discussed in the paper. We also simulate hypothetical disruptions on CIS in order to identify industrial sectors that experience the largest economic impacts, and to quantify systemic vulnerability in economic terms. In addition, insights from community detection and hypothetical disruption scenarios help assess vulnerability of individual industrial communities to disruptions on individual CIS. These methodologies also provide insights regarding the extent of coupling between each CIS in the US EIO network. Based on our analysis, we observe that excessive interconnectedness and interdependencies of CIS results in high systemic vulnerability. This information can guide policymakers to design policies that improve resilience of economic networks, and evaluate policies that might indirectly increase coupling

  8. How Do People Think About Interdependence? A Multidimensional Model of Subjective Outcome Interdependence.

    PubMed

    Gerpott, Fabiola H; Balliet, Daniel; Columbus, Simon; Molho, Catherine; de Vries, Reinout E

    2017-09-04

    Interdependence is a fundamental characteristic of social interactions. Interdependence Theory states that 6 dimensions describe differences between social situations. Here we examine if these 6 dimensions describe how people think about their interdependence with others in a situation. We find that people (in situ and ex situ) can reliably differentiate situations according to 5, but not 6, dimensions of interdependence: (a) mutual dependence, (b) power, (c) conflict, (d) future interdependence, and (e) information certainty. This model offers a unique framework for understanding how people think about social situations compared to another recent model of situation construal (DIAMONDS). Furthermore, we examine factors that are theorized to shape perceptions of interdependence, such as situational cues (e.g., nonverbal behavior) and personality (e.g., HEXACO and Social Value Orientation). We also study the implications of subjective interdependence for emotions and cooperative behavior during social interactions. This model of subjective interdependence explains substantial variation in the emotions people experience in situations (i.e., happiness, sadness, anger, and disgust), and explains 24% of the variance in cooperation, above and beyond the DIAMONDS model. Throughout these studies, we develop and validate a multidimensional measure of subjective outcome interdependence that can be used in diverse situations and relationships-the Situational Interdependence Scale (SIS). We discuss how this model of interdependence can be used to better understand how people think about social situations encountered in close relationships, organizations, and society. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  9. Green Infrastructure Modeling Toolkit

    EPA Pesticide Factsheets

    EPA's Green Infrastructure Modeling Toolkit is a toolkit of 5 EPA green infrastructure models and tools, along with communication materials, that can be used as a teaching tool and a quick reference resource when making GI implementation decisions.

  10. Enhancing the Resilience of Interdependent Critical Infrastructure Systems Using a Common Computational Framework

    NASA Astrophysics Data System (ADS)

    Little, J. C.; Filz, G. M.

    2016-12-01

    As modern societies become more complex, critical interdependent infrastructure systems become more likely to fail under stress unless they are designed and implemented to be resilient. Hurricane Katrina clearly demonstrated the catastrophic and as yet unpredictable consequences of such failures. Resilient infrastructure systems maintain the flow of goods and services in the face of a broad range of natural and manmade hazards. In this presentation, we illustrate a generic computational framework to facilitate high-level decision-making about how to invest scarce resources most effectively to enhance resilience in coastal protection, transportation, and the economy of a region. Coastal Louisiana, our study area, has experienced the catastrophic effects of several land-falling hurricanes in recent years. In this project, we implement and further refine three process models (a coastal protection model, a transportation model, and an economic model) for the coastal Louisiana region. We upscale essential mechanistic features of the three detailed process models to the systems level and integrate the three reduced-order systems models in a modular fashion. We also evaluate the proposed approach in annual workshops with input from stakeholders. Based on stakeholder inputs, we derive a suite of goals, targets, and indicators for evaluating resilience at the systems level, and assess and enhance resilience using several deterministic scenarios. The unifying framework will be able to accommodate the different spatial and temporal scales that are appropriate for each model. We combine our generic computational framework, which encompasses the entire system of systems, with the targets, and indicators needed to systematically meet our chosen resilience goals. We will start with targets that focus on technical and economic systems, but future work will ensure that targets and indicators are extended to other dimensions of resilience including those in the environmental and

  11. Green Infrastructure Modeling Tools

    EPA Pesticide Factsheets

    Modeling tools support planning and design decisions on a range of scales from setting a green infrastructure target for an entire watershed to designing a green infrastructure practice for a particular site.

  12. Cascading of Fluctuations in Interdependent Energy Infrastructures. Gas-Grid Coupling

    SciTech Connect

    Chertkov, Michael; Lebedev, Vladimir; Backhaus, Scott N.

    2014-09-05

    The revolution of hydraulic fracturing has dramatically increased the supply and lowered the cost of natural gas in the United States driving an expansion of natural gas-fired generation capacity in many electrical grids. Unrelated to the natural gas expansion, lower capital costs and renewable portfolio standards are driving an expansion of intermittent renewable generation capacity such as wind and photovoltaic generation. These two changes may potentially combine to create new threats to the reliability of these interdependent energy infrastructures. Natural gas-fired generators are often used to balance the fluctuating output of wind generation. However, the time-varying output of these generators results in time-varying natural gas burn rates that impact the pressure in interstate transmission pipelines. Fluctuating pressure impacts the reliability of natural gas deliveries to those same generators and the safety of pipeline operations. We adopt a partial differential equation model of natural gas pipelines and use this model to explore the effect of intermittent wind generation on the fluctuations of pressure in natural gas pipelines. The mean square pressure fluctuations are found to grow linearly in time with points of maximum deviation occurring at the locations of flow reversals.

  13. Modeling interdependencies between business and communication processes in hospitals.

    PubMed

    Brigl, Birgit; Wendt, Thomas; Winter, Alfred

    2003-01-01

    The optimization and redesign of business processes in hospitals is an important challenge for the hospital information management who has to design and implement a suitable HIS architecture. Nevertheless, there are no tools available specializing in modeling information-driven business processes and the consequences on the communication between information processing, tools. Therefore, we will present an approach which facilitates the representation and analysis of business processes and resulting communication processes between application components and their interdependencies. This approach aims not only to visualize those processes, but to also to evaluate if there are weaknesses concerning the information processing infrastructure which hinder the smooth implementation of the business processes.

  14. Solving Operational Models of Interdependent Infrastructure Systems

    DTIC Science & Technology

    2014-12-01

    concept of homeland security dates back to the creation of the National Communications System (NCS) in 1963, after communication problems between the...This case protects the integrity of the combined system before exogenous demands. Loads 45 are shed first within the set of independent nodes...oil, saving money in the transportation of fuel oil to the associated fuel demand nodes. By design, the PFM uses the cheapest available generators

  15. A general model of resource production and exchange in systems of interdependent specialists.

    SciTech Connect

    Conrad, Stephen Hamilton; Finley, Patrick D.; Beyeler, Walter Eugene; Brown, Theresa Jean; Glass, Robert John, Jr.; Breen, Peter; Kuypers, Marshall; Norton, Matthew David; Quach, Tu-Thach; Antognoli, Matthew; Mitchell, Michael David

    2011-11-01

    Infrastructures are networks of dynamically interacting systems designed for the flow of information, energy, and materials. Under certain circumstances, disturbances from a targeted attack or natural disasters can cause cascading failures within and between infrastructures that result in significant service losses and long recovery times. Reliable interdependency models that can capture such multi-network cascading do not exist. The research reported here has extended Sandia's infrastructure modeling capabilities by: (1) addressing interdependencies among networks, (2) incorporating adaptive behavioral models into the network models, and (3) providing mechanisms for evaluating vulnerability to targeted attack and unforeseen disruptions. We have applied these capabilities to evaluate the robustness of various systems, and to identify factors that control the scale and duration of disruption. This capability lays the foundation for developing advanced system security solutions that encompass both external shocks and internal dynamics.

  16. Interdependence theory and the actor-partner interdependence model: where theory and method converge.

    PubMed

    Wickham, Robert E; Knee, C Raymond

    2012-11-01

    This work describes an application of the actor-partner interdependence model (APIM) that allows researchers to test hypotheses in terms of interdependence theory (IT). The authors' goal is to move beyond the obvious similarities of these two frameworks by providing a detailed conceptual integration. This analysis demonstrates that aspects of APIM analysis reveal a useful perspective on interdependence not explicitly articulated by IT. They also expand on ideas presented by Kenny and Ledermann by exploring the relationship between their ratio parameter k and IT, and introducing two additional ratios (h and c) also suggested by IT. A complete worked example of APIM analysis from the perspective of IT, along with a SAS MACRO that produces confidence intervals for k, h, and c, is provided.

  17. Earthquake interdependence and insurance loss modeling

    NASA Astrophysics Data System (ADS)

    Muir Wood, R.

    2005-12-01

    Probabilistic Catastrophe loss modeling generally assumes that earthquakes are independent events and occur far enough apart in time that damage from one event is fully restituted before another earthquake occurs. While time dependence and cascade fault rupturing are today standard elements of the earthquake hazard engine, in the next generation of Catastrophe loss models one can expect to find a more comprehensive range of earthquake interdependence represented in a full simulation modeling environment. Such behavior includes the incorporation of the ways in which earthquakes relate one to another in both space and time (including foreshock, aftershock and triggered mainshock distinctions) and the damage that can be predicted from overlapping damage fields as related to the length of time for reconstruction that has elapsed between events. For insurance purposes losses are framed by the 168 hour clause for classifying losses as falling within the same `event' for reinsurance recoveries as well as the annual insurance contract. The understanding of the ways in which stress changes associated with fault rupture affect the probabilities of earthquakes on surrounding faults has also expanded the predictability of potential earthquake sequences as well as highlighted the potential to identify locations where, for some time window, risk can be discounted. While it can be illuminating to explore the loss and insurance implications of the patterns of historical earthquake occurrence seen historically along the Nankaido subduction zone of Southern Japan, in New Madrid from 1811-1812, or Nevada in 1954, the sequences to be expected in the future are unlikely to have historical precedent in the region in which they form.

  18. Cascading load model in interdependent networks with coupled strength

    NASA Astrophysics Data System (ADS)

    Wang, Jianwei; Li, Yun; Zheng, Qiaofang

    2015-07-01

    Considering the coupled strength between interdependent networks, we introduce a new method to define the initial load on an edge and propose a cascading load model in interdependent networks. We explore the robustness of the interdependent networks against cascading failures by two measures, i.e., the critical threshold βc quantifying the whole robustness of the interdependent networks to avoid the emergence of cascading failure, and the new proposed smallest capacity threshold βc,s quantifying the degree of the worst damage of the interdependent networks. We numerically find that the AL (high-degree nodes in network A connect high-degree ones in network B) link between two networks can greatly enhance the robust level of the interdependent networks against cascading failures. Especially we observe that the values of βc in the interdependent networks with both the DL (high-degree nodes in network A connect low-degree ones in network B) link and the RL (nodes in network A randomly connect ones in network B) link increase monotonically with the coupled strength, while the values of βc,s in the interdependent networks with three types of link patterns almost monotonically decreases with the coupled strength. In the interdependent networks with the AL, the value of βc first decreases and then increases with the coupled strength. We further explain this interesting phenomenon by a simple graph. In addition, we study the influence of the coupled strength on the efficiency of two attacks to destroy the interdependent networks. We find that, when the coupled strength between two networks is weaker, attacking the edges with the lower load is more easier to trigger the cascading propagation than attacking the nodes with the higher load, however, when the coupled strength in two networks is stronger, the case is on the contrary. Finally, we give reasonable explanations from the local perspective of the total capacity of all neighboring edges of a failed edge.

  19. Attachment, mastery, and interdependence: a model of parenting processes.

    PubMed

    Edwards, Martha E

    2002-01-01

    A democratic nation needs an interdependent citizenry who are not only competent but who also can live together cooperatively with an eye toward what will benefit the whole as well as the self. In this article, the concept of interdependence is adopted as the central goal of parenting. The Parenting Processes Model is then presented, specifying how caregivers help children develop this interdependence. This work draws upon and integrates the work of a number of theoreticians, researchers, and clinicians, with the central focus on the work of John Bowlby, Alfred Adler, and Lev Vygotsky.

  20. Modeling interdependencies between information processes and communication paths in hospitals.

    PubMed

    Brigl, B; Strübing, A; Wendt, T; Winter, A

    2006-01-01

    For planning hospital information systems it is important to recognize the interrelation between business processes and the communication needs between supporting application systems. We therefore present an approach to model, visualize and analyze those interdependencies. The approach is based on the concepts defined in 3LGM2, a meta-model to describe health information systems (HIS). An information process is defined as a sequence of functions using or updating information; a communication path as a sequence of communication links between interfaces belonging to application systems. The search for communication paths belonging to an information process is interpreted as an all-pairs shortest-paths problem. To solve this problem the Floyd-Warshall algorithm is applied. The resulting algorithm has been implemented as function of the 3LGM2 tool, a tool to create 3LGM2 compliant models. With it, it is possible to interactively define information processes at the domain layer and to analyze step by step whether the infrastructure at the logical tool layer is sufficient to communicate necessary data between application systems. The presented approach enables the representation and analysis of dependencies between information processes and communication paths. With it, the HIS architecture is directly associated with the business needs. This is an important condition for the systematic planning of hospital information systems.

  1. Operational models of infrastructure resilience.

    PubMed

    Alderson, David L; Brown, Gerald G; Carlyle, W Matthew

    2015-04-01

    We propose a definition of infrastructure resilience that is tied to the operation (or function) of an infrastructure as a system of interacting components and that can be objectively evaluated using quantitative models. Specifically, for any particular system, we use quantitative models of system operation to represent the decisions of an infrastructure operator who guides the behavior of the system as a whole, even in the presence of disruptions. Modeling infrastructure operation in this way makes it possible to systematically evaluate the consequences associated with the loss of infrastructure components, and leads to a precise notion of "operational resilience" that facilitates model verification, validation, and reproducible results. Using a simple example of a notional infrastructure, we demonstrate how to use these models for (1) assessing the operational resilience of an infrastructure system, (2) identifying critical vulnerabilities that threaten its continued function, and (3) advising policymakers on investments to improve resilience. © 2014 Society for Risk Analysis.

  2. Assessing site-interdependent phylogenetic models of sequence evolution.

    PubMed

    Rodrigue, Nicolas; Philippe, Hervé; Lartillot, Nicolas

    2006-09-01

    In recent works, methods have been proposed for applying phylogenetic models that allow for a general interdependence between the amino acid positions of a protein. As of yet, such models have focused on site interdependencies resulting from sequence-structure compatibility constraints, using simplified structural representations in combination with a set of statistical potentials. This structural compatibility criterion is meant as a proxy for sequence fitness, and the methods developed thus far can incorporate different site-interdependent fitness proxies based on other measurements. However, no methods have been proposed for comparing and evaluating the adequacy of alternative fitness proxies in this context, or for more general comparisons with canonical models of protein evolution. In the present work, we apply Bayesian methods of model selection-based on numerical calculations of marginal likelihoods and posterior predictive checks-to evaluate models encompassing the site-interdependent framework. Our application of these methods indicates that considering site-interdependencies, as done here, leads to an improved model fit for all data sets studied. Yet, we find that the use of pairwise contact potentials alone does not suitably account for across-site rate heterogeneity or amino acid exchange propensities; for such complexities, site-independent treatments are still called for. The most favored models combine the use of statistical potentials with a suitably rich site-independent model. Altogether, the methodology employed here should allow for a more rigorous and systematic exploration of different ways of modeling explicit structural constraints, or any other site-interdependent criterion, while best exploiting the richness of previously proposed models.

  3. Modeling the interdependent network based on two-mode networks

    NASA Astrophysics Data System (ADS)

    An, Feng; Gao, Xiangyun; Guan, Jianhe; Huang, Shupei; Liu, Qian

    2017-10-01

    Among heterogeneous networks, there exist obviously and closely interdependent linkages. Unlike existing research primarily focus on the theoretical research of physical interdependent network model. We propose a two-layer interdependent network model based on two-mode networks to explore the interdependent features in the reality. Specifically, we construct a two-layer interdependent loan network and develop several dependent features indices. The model is verified to enable us to capture the loan dependent features of listed companies based on loan behaviors and shared shareholders. Taking Chinese debit and credit market as case study, the main conclusions are: (1) only few listed companies shoulder the main capital transmission (20% listed companies occupy almost 70% dependent degree). (2) The control of these key listed companies will be more effective of avoiding the spreading of financial risks. (3) Identifying the companies with high betweenness centrality and controlling them could be helpful to monitor the financial risk spreading. (4) The capital transmission channel among Chinese financial listed companies and Chinese non-financial listed companies are relatively strong. However, under greater pressure of demand of capital transmission (70% edges failed), the transmission channel, which constructed by debit and credit behavior, will eventually collapse.

  4. Green Infrastructure Modeling Toolkit

    EPA Science Inventory

    Green infrastructure, such as rain gardens, green roofs, porous pavement, cisterns, and constructed wetlands, is becoming an increasingly attractive way to recharge aquifers and reduce the amount of stormwater runoff that flows into wastewater treatment plants or into waterbodies...

  5. Green Infrastructure Modeling Toolkit

    EPA Science Inventory

    Green infrastructure, such as rain gardens, green roofs, porous pavement, cisterns, and constructed wetlands, is becoming an increasingly attractive way to recharge aquifers and reduce the amount of stormwater runoff that flows into wastewater treatment plants or into waterbodies...

  6. Toward Developing Genetic Algorithms to Aid in Critical Infrastructure Modeling

    SciTech Connect

    Not Available

    2007-05-01

    Today’s society relies upon an array of complex national and international infrastructure networks such as transportation, telecommunication, financial and energy. Understanding these interdependencies is necessary in order to protect our critical infrastructure. The Critical Infrastructure Modeling System, CIMS©, examines the interrelationships between infrastructure networks. CIMS© development is sponsored by the National Security Division at the Idaho National Laboratory (INL) in its ongoing mission for providing critical infrastructure protection and preparedness. A genetic algorithm (GA) is an optimization technique based on Darwin’s theory of evolution. A GA can be coupled with CIMS© to search for optimum ways to protect infrastructure assets. This includes identifying optimum assets to enforce or protect, testing the addition of or change to infrastructure before implementation, or finding the optimum response to an emergency for response planning. This paper describes the addition of a GA to infrastructure modeling for infrastructure planning. It first introduces the CIMS© infrastructure modeling software used as the modeling engine to support the GA. Next, the GA techniques and parameters are defined. Then a test scenario illustrates the integration with CIMS© and the preliminary results.

  7. Exploring the interdependencies between parameters in a material model.

    SciTech Connect

    Silling, Stewart Andrew; Fermen-Coker, Muge

    2014-01-01

    A method is investigated to reduce the number of numerical parameters in a material model for a solid. The basis of the method is to detect interdependencies between parameters within a class of materials of interest. The method is demonstrated for a set of material property data for iron and steel using the Johnson-Cook plasticity model.

  8. Attack robustness of cascading load model in interdependent networks

    NASA Astrophysics Data System (ADS)

    Wang, Jianwei; Wu, Yuedan; Li, Yun

    2015-08-01

    Considering the weight of a node and the coupled strength of two interdependent nodes in the different networks, we propose a method to assign the initial load of a node and construct a new cascading load model in the interdependent networks. Assuming that a node in one network will fail if its degree is 0 or its dependent node in the other network is removed from the network or the load on it exceeds its capacity, we study the influences of the assortative link (AL) and the disassortative link (DL) patterns between two networks on the robustness of the interdependent networks against cascading failures. For better evaluating the network robustness, from the local perspective of a node we present a new measure to qualify the network resiliency after targeted attacks. We show that the AL patterns between two networks can improve the robust level of the entire interdependent networks. Moreover, we obtain how to efficiently allocate the initial load and select some nodes to be protected so as to maximize the network robustness against cascading failures. In addition, we find that some nodes with the lower load are more likely to trigger the cascading propagation when the distribution of the load is more even, and also give the reasonable explanation. Our findings can help to design the robust interdependent networks and give the reasonable suggestion to optimize the allocation of the protection resources.

  9. Analysis of Family Research Designs: A Model of Interdependence.

    ERIC Educational Resources Information Center

    Kashy, Deborah A.; Kenny, David A.

    1990-01-01

    Presents both a conceptual model (which partitions family data into individual, dyadic, and family effects and permits examination of several types of interdependence between family members) and an analytical method (confirmatory factor analysis) that can be used in the evaluation of round-robin family research data. (SR)

  10. An integrated model of human-wildlife interdependence

    USGS Publications Warehouse

    John, Kun H.; Walsh, Richard G.; Johnson, R. L.

    1994-01-01

    This paper attempts to integrate wildlife-related ecologic and economic variables into an econometric model. The model reveals empirical evidence of the presumed interdependence of human-wildlife and the holistic nature of humanity's relationship to the ecosystem. Human use of biologic resources varies not only with income, education, and population, but also with sustainability of humankind's action relative to the quality and quantity of the supporting ecological base.

  11. ELECTRICAL SUBSTATION RELIABILITY EVALUATION WITH EMPHASIS ON EVOLVING INTERDEPENDENCE ON COMMUNICATION INFRASTRUCTURE.

    SciTech Connect

    AZARM,M.A.; BARI,R.; YUE,M.; MUSICKI,Z.

    2004-09-12

    This study developed a probabilistic methodology for assessment of the reliability and security of electrical energy distribution networks. This included consideration of the future grid system, which will rely heavily on the existing digitally based communication infrastructure for monitoring and protection. Event tree and fault tree methods were utilized. The approach extensively modeled the types of faults that a grid could potentially experience, the response of the grid, and the specific design of the protection schemes. We demonstrated the methods by applying it to a small sub-section of a hypothetical grid based on an existing electrical grid system of a metropolitan area. The results showed that for a typical design that relies on communication network for protection, the communication network reliability could contribute significantly to the frequency of loss of electrical power. The reliability of the communication network could become a more important contributor to the electrical grid reliability as the utilization of the communication network significantly increases in the near future to support ''smart'' transmission and/or distributed generation.

  12. A framework for linking cybersecurity metrics to the modeling of macroeconomic interdependencies.

    PubMed

    Santos, Joost R; Haimes, Yacov Y; Lian, Chenyang

    2007-10-01

    Hierarchical decision making is a multidimensional process involving management of multiple objectives (with associated metrics and tradeoffs in terms of costs, benefits, and risks), which span various levels of a large-scale system. The nation is a hierarchical system as it consists multiple classes of decisionmakers and stakeholders ranging from national policymakers to operators of specific critical infrastructure subsystems. Critical infrastructures (e.g., transportation, telecommunications, power, banking, etc.) are highly complex and interconnected. These interconnections take the form of flows of information, shared security, and physical flows of commodities, among others. In recent years, economic and infrastructure sectors have become increasingly dependent on networked information systems for efficient operations and timely delivery of products and services. In order to ensure the stability, sustainability, and operability of our critical economic and infrastructure sectors, it is imperative to understand their inherent physical and economic linkages, in addition to their cyber interdependencies. An interdependency model based on a transformation of the Leontief input-output (I-O) model can be used for modeling: (1) the steady-state economic effects triggered by a consumption shift in a given sector (or set of sectors); and (2) the resulting ripple effects to other sectors. The inoperability metric is calculated for each sector; this is achieved by converting the economic impact (typically in monetary units) into a percentage value relative to the size of the sector. Disruptive events such as terrorist attacks, natural disasters, and large-scale accidents have historically shown cascading effects on both consumption and production. Hence, a dynamic model extension is necessary to demonstrate the interplay between combined demand and supply effects. The result is a foundational framework for modeling cybersecurity scenarios for the oil and gas sector. A

  13. ELECTRICAL SUBSTATION RELIABILITY EVALUATION WITH EMPHASIS ON EVOLVING INTERDEPENDENCE ON COMMUNICATION INFRASTRUCTURE.

    SciTech Connect

    AZARM,M.A.BARI,R.A.MUSICKI,Z.

    2004-01-15

    The objective of this study is to develop a methodology for a probabilistic assessment of the reliability and security of electrical energy distribution networks. This includes consideration of the future grid system, which will rely heavily on the existing digitally based communication infrastructure for monitoring and protection. Another important objective of this study is to provide information and insights from this research to Consolidated Edison Company (Con Edison) that could be useful in the design of the new network segment to be installed in the area of the World Trade Center in lower Manhattan. Our method is microscopic in nature and relies heavily on the specific design of the portion of the grid being analyzed. It extensively models the types of faults that a grid could potentially experience, the response of the grid, and the specific design of the protection schemes. We demonstrate that the existing technology can be extended and applied to the electrical grid and to the supporting communication network. A small subsection of a hypothetical grid based on the existing New York City electrical grid system of Con Edison is used to demonstrate the methods. Sensitivity studies show that in the current design the frequency for the loss of the main station is sensitive to the communication network reliability. The reliability of the communication network could become a more important contributor to the electrical grid reliability as the utilization of the communication network significantly increases in the near future to support ''smart'' transmission and/or distributed generation. The identification of potential failure modes and their likelihood can support decisions on potential modifications to the network including hardware, monitoring instrumentation, and protection systems.

  14. The Actor-Partner Interdependence Model: A Model of Bidirectional Effects in Developmental Studies

    ERIC Educational Resources Information Center

    Cook, William L.; Kenny, David A.

    2005-01-01

    The actor-partner interdependence model (APIM) is a model of dyadic relationships that integrates a conceptual view of interdependence with the appropriate statistical techniques for measuring and testing it. In this article we present the APIM as a general, longitudinal model for measuring bidirectional effects in interpersonal relationships. We…

  15. Towards strength and stability : agent-based modeling of infrastructure markets.

    SciTech Connect

    North, M. J.; Decision and Information Sciences

    2001-01-01

    Complex Adaptive Systems (CASs) can be applied to investigate complex infrastructures and infrastructure interdependencies. Agent-based modeling (ABM) is a new CAS-based approach to the construction of models. The CAS agents within the Spot Market Agent Research Tool (SMART) and Flexible Agent Simulation Toolkit (FAST) ABMs allow investigation of the electric power infrastructure, the natural gas infrastructure, and their interdependencies. The Swarm-based SMART models use sets of agents and interconnections to represent electric power and natural gas systems. A prototype virtual reality (VR) interface has also been constructed for a version of the SMART model. This tool is intended to explore the use of advanced interactive three-dimensional visualization in agent-based modeling. The Java-based FAST model is currently under construction. FAST is a complete redesign of the SMART models that includes improvements in the modeling environment, model detail, and representational fidelity. Developing ABMs is difficult but can be rewarding.

  16. Green Infrastructure Models and Tools

    EPA Science Inventory

    The objective of this project is to modify and refine existing models and develop new tools to support decision making for the complete green infrastructure (GI) project lifecycle, including the planning and implementation of stormwater control in urban and agricultural settings,...

  17. Green Infrastructure Models and Tools

    EPA Science Inventory

    The objective of this project is to modify and refine existing models and develop new tools to support decision making for the complete green infrastructure (GI) project lifecycle, including the planning and implementation of stormwater control in urban and agricultural settings,...

  18. Cascading failure analysis and restoration strategy in an interdependent network

    NASA Astrophysics Data System (ADS)

    Hong, Sheng; Lv, Chuan; Zhao, Tingdi; Wang, Baoqing; Wang, Jianghui; Zhu, Juxing

    2016-05-01

    In modern society, many infrastructures are interdependent owing to functional and logical relations among components in different systems. These networked infrastructures can be modeled as interdependent networks. In the real world, different networks carry different traffic loads whose values are dynamic and stem from the load redistribution in the same network and disturbance from the interdependent network. Interdependency makes interdependent networks so fragile that even a slight initial disturbance may lead to a cascading failure of the entire systems. In this paper, interdependencies among networks are modeled and a failure cascade process is studied considering their effects on failure propagation. Meanwhile, an in-process restoration strategy after the initial failure is investigated. The restoration effects depend strongly on the trigger timing, restoration probability and priority of the restoration actions along with the additional disturbances. Our findings highlight the necessity to decrease the large-scale cascading failure by structuring and managing an interdependent network reasonably.

  19. Development Model for Research Infrastructures

    NASA Astrophysics Data System (ADS)

    Wächter, Joachim; Hammitzsch, Martin; Kerschke, Dorit; Lauterjung, Jörn

    2015-04-01

    . The maturity of individual scientific domains differs considerably. • Technologically and organisationally many different RI components have to be integrated. Individual systems are often complex and have a long-term history. Existing approaches are on different maturity levels, e.g. in relation to the standardisation of interfaces. • The concrete implementation process consists of independent and often parallel development activities. In many cases no detailed architectural blue-print for the envisioned system exists. • Most of the funding currently available for RI implementation is provided on a project basis. To increase the synergies in infrastructure development the authors propose a specific RI Maturity Model (RIMM) that is specifically qualified for open system-of-system environments. RIMM is based on the concepts of Capability Maturity Models for organisational development, concretely the Levels of Conceptual Interoperability Model (LCIM) specifying the technical, syntactical, semantic, pragmatic, dynamic, and conceptual layers of interoperation [1]. The model is complemented by the identification and integration of growth factors (according to the Nolan Stages Theory [2]). These factors include supply and demand factors. Supply factors comprise available resources, e.g., data, services and IT-management capabilities including organisations and IT-personal. Demand factors are the overall application portfolio for RIs but also the skills and requirements of scientists and communities using the infrastructure. RIMM thus enables a balanced development process of RI and RI components by evaluating the status of the supply and demand factors in relation to specific levels of interoperability. [1] Tolk, A., Diallo, A., Turnitsa, C. (2007): Applying the Levels of Conceptual Interoperability Model in Support of Integratability, Interoperability, and Composability for System-of-Systems Engineering. Systemics, Cybernetics and Informatics, Volume 5 - Number 5. [2

  20. Redundant Design in Interdependent Networks.

    PubMed

    Liu, Lijun; Yin, Yongfeng; Zhang, Zenghu; Malaiya, Yashwant K

    2016-01-01

    Modern infrastructure networks are often coupled together and thus could be modeled as interdependent networks. Overload and interdependent effect make interdependent networks more fragile when suffering from attacks. Existing research has primarily concentrated on the cascading failure process of interdependent networks without load, or the robustness of isolated network with load. Only limited research has been done on the cascading failure process caused by overload in interdependent networks. Redundant design is a primary approach to enhance the reliability and robustness of the system. In this paper, we propose two redundant methods, node back-up and dependency redundancy, and the experiment results indicate that two measures are effective and costless. Two detailed models about redundant design are introduced based on the non-linear load-capacity model. Based on the attributes and historical failure distribution of nodes, we introduce three static selecting strategies-Random-based, Degree-based, Initial load-based and a dynamic strategy-HFD (historical failure distribution) to identify which nodes could have a back-up with priority. In addition, we consider the cost and efficiency of different redundant proportions to determine the best proportion with maximal enhancement and minimal cost. Experiments on interdependent networks demonstrate that the combination of HFD and dependency redundancy is an effective and preferred measure to implement redundant design on interdependent networks. The results suggest that the redundant design proposed in this paper can permit construction of highly robust interactive networked systems.

  1. Redundant Design in Interdependent Networks

    PubMed Central

    2016-01-01

    Modern infrastructure networks are often coupled together and thus could be modeled as interdependent networks. Overload and interdependent effect make interdependent networks more fragile when suffering from attacks. Existing research has primarily concentrated on the cascading failure process of interdependent networks without load, or the robustness of isolated network with load. Only limited research has been done on the cascading failure process caused by overload in interdependent networks. Redundant design is a primary approach to enhance the reliability and robustness of the system. In this paper, we propose two redundant methods, node back-up and dependency redundancy, and the experiment results indicate that two measures are effective and costless. Two detailed models about redundant design are introduced based on the non-linear load-capacity model. Based on the attributes and historical failure distribution of nodes, we introduce three static selecting strategies-Random-based, Degree-based, Initial load-based and a dynamic strategy-HFD (historical failure distribution) to identify which nodes could have a back-up with priority. In addition, we consider the cost and efficiency of different redundant proportions to determine the best proportion with maximal enhancement and minimal cost. Experiments on interdependent networks demonstrate that the combination of HFD and dependency redundancy is an effective and preferred measure to implement redundant design on interdependent networks. The results suggest that the redundant design proposed in this paper can permit construction of highly robust interactive networked systems. PMID:27764174

  2. Modeling Uncertainty and Its Implications in Complex Interdependent Networks

    DTIC Science & Technology

    2016-04-30

    risks to facilitate this analysis. Networked applications often operate under uncertainty in environmental response and the temporal state and action...Operating environment: uncertainty , complexity, rapid change and persistent conflict. • Integrated approach (WSARA 2009). • Definition: • Cascading risk ...qÜáêíÉÉåíÜ=^ååì~ä= ^Åèìáëáíáçå=oÉëÉ~êÅÜ= póãéçëáìã= qÜìêëÇ~ó=pÉëëáçåë= sçäìãÉ=ff= = Modeling Uncertainty and Its Implications in Complex Interdependent

  3. Decomposable Models: A New Look at Interdependence and Dependence Structures in Psychological Research.

    ERIC Educational Resources Information Center

    Hodapp, Volker; Wermuth, Nanny

    1983-01-01

    Decomposable models, which allow for the interdependence of structure among observable variables, are described. Each model is fully characterized by a set of conditional interdependence restrictions and can be visualized with an undirected as well as a special type of directed graph. (Author/JKS)

  4. Interdependent regional lung emptying during forced expiration: a transistor model.

    PubMed

    Solway, J; Fredberg, J J; Ingram, R H; Pedersen, O F; Drazen, J M

    1987-05-01

    We recognized similarities between isovolume pressure-flow curves of the lung and emitter-collector voltage-current characteristics of bipolar transistors, and used this analogy to model expiratory flow limitation in a two-generation branching network with parallel nonhomogeneity. In this model, each of two bronchi empty parenchymal compliances through a common trachea, and each branch includes resistances upstream and downstream of a flow-limiting site. Properties of each airway are specified independently, allowing simulation of differences between the tracheal and bronchial generations and between the parallel bronchial paths. Simulations of four types of parallel asymmetry were performed: unilateral peripheral bronchoconstriction; unilateral central bronchoconstriction; asymmetric redistribution of parenchymal compliance; and unilateral alteration of the bronchial area-transmural pressure characteristic. Our results indicate that multiple axial choke points can exist simultaneously in a symmetric lung when large airway opening-pleural pressure gradients exist; despite severe nonhomogeneity of regional lung emptying, flow interdependence among parallel branches tends to maintain a near normal configuration of the overall maximal expiratory flow-volume (MEFV) curve throughout a large fraction of the vital capacity; and sudden changes of slope of the MEFV curve ("knees" or "bumps") may reflect choking in one branch in a nonuniform lung, but need not be obvious even when severe heterogeneity of lung emptying exists.

  5. A cognitive model of dynamic cooperation with varied interdependency information.

    PubMed

    Gonzalez, Cleotilde; Ben-Asher, Noam; Martin, Jolie M; Dutt, Varun

    2015-04-01

    We analyze the dynamics of repeated interaction of two players in the Prisoner's Dilemma (PD) under various levels of interdependency information and propose an instance-based learning cognitive model (IBL-PD) to explain how cooperation emerges over time. Six hypotheses are tested regarding how a player accounts for an opponent's outcomes: the selfish hypothesis suggests ignoring information about the opponent and utilizing only the player's own outcomes; the extreme fairness hypothesis weighs the player's own and the opponent's outcomes equally; the moderate fairness hypothesis weighs the opponent's outcomes less than the player's own outcomes to various extents; the linear increasing hypothesis increasingly weighs the opponent's outcomes at a constant rate with repeated interactions; the hyperbolic discounting hypothesis increasingly and nonlinearly weighs the opponent's outcomes over time; and the dynamic expectations hypothesis dynamically adjusts the weight a player gives to the opponent's outcomes, according to the gap between the expected and the actual outcomes in each interaction. When players lack explicit feedback about their opponent's choices and outcomes, results are consistent with the selfish hypothesis; however, when this information is made explicit, the best predictions result from the dynamic expectations hypothesis.

  6. Modeling region-based interconnection for interdependent networks

    NASA Astrophysics Data System (ADS)

    Wang, Xiangrong; Kooij, Robert E.; Van Mieghem, Piet

    2016-10-01

    Various real-world networks interact with and depend on each other. The design of the interconnection between interacting networks is one of the main challenges to achieve a robust interdependent network. Due to cost considerations, network providers are inclined to interconnect nodes that are geographically close. Accordingly, we propose two topologies, the random geographic graph and the relative neighborhood graph, for the design of interconnection in interdependent networks that incorporates the geographic location of nodes. Differing from the one-to-one interconnection studied in the literature, one node in one network can depend on an arbitrary number of nodes in the other network. We derive the average number of interdependent links for the two topologies, which enables their comparison. For the two topologies, we evaluate the impact of the interconnection structure on the robustness of interdependent networks against cascading failures. The two topologies are assessed on the real-world coupled Italian Internet and the electric transmission network. Finally, we propose the derivative of the largest mutually connected component with respect to the fraction of failed nodes as a robustness metric. This robustness metric quantifies the damage of the network introduced by a small fraction of initial failures well before the critical fraction of failures at which the whole network collapses.

  7. Model Programs: Childhood Education. Interdependent Learner Model of a Follow Through Program.

    ERIC Educational Resources Information Center

    American Institutes for Research in the Behavioral Sciences, Silver Spring, MD.

    In order to insure maximum success of the school's Head Start program, parents and teachers associated with a public school in Harlem chose a program based on the Interdependent Learner Model Follow Through Program originated at New York University. The federally funded program was introduced into kindergarten and first-grade classrooms and…

  8. Modeling and Managing Risk in Billing Infrastructures

    NASA Astrophysics Data System (ADS)

    Baiardi, Fabrizio; Telmon, Claudio; Sgandurra, Daniele

    This paper discusses risk modeling and risk management in information and communications technology (ICT) systems for which the attack impact distribution is heavy tailed (e.g., power law distribution) and the average risk is unbounded. Systems with these properties include billing infrastructures used to charge customers for services they access. Attacks against billing infrastructures can be classified as peripheral attacks and backbone attacks. The goal of a peripheral attack is to tamper with user bills; a backbone attack seeks to seize control of the billing infrastructure. The probability distribution of the overall impact of an attack on a billing infrastructure also has a heavy-tailed curve. This implies that the probability of a massive impact cannot be ignored and that the average impact may be unbounded - thus, even the most expensive countermeasures would be cost effective. Consequently, the only strategy for managing risk is to increase the resilience of the infrastructure by employing redundant components.

  9. Toolkit of Available EPA Green Infrastructure Modeling ...

    EPA Pesticide Factsheets

    This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementation decisions. It can also be used for low impact development design competitions. Models and tools included: Green Infrastructure Wizard (GIWiz), Watershed Management Optimization Support Tool (WMOST), Visualizing Ecosystem Land Management Assessments (VELMA) Model, Storm Water Management Model (SWMM), and the National Stormwater Calculator (SWC). This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementation decisions. It can also be used for low impact development design competitions. Models and tools included: Green Infrastructure Wizard (GIWiz), Watershed Management Optimization Support Tool (WMOST), Visualizing Ecosystem Land Management Assessments (VELMA) Model, Storm Water Management Model (SWMM), and the National Stormwater Calculator (SWC).

  10. Policy model for space economy infrastructure

    NASA Astrophysics Data System (ADS)

    Komerath, Narayanan; Nally, James; Zilin Tang, Elizabeth

    2007-12-01

    Extraterrestrial infrastructure is key to the development of a space economy. Means for accelerating transition from today's isolated projects to a broad-based economy are considered. A large system integration approach is proposed. The beginnings of an economic simulation model are presented, along with examples of how interactions and coordination bring down costs. A global organization focused on space infrastructure and economic expansion is proposed to plan, coordinate, fund and implement infrastructure construction. This entity also opens a way to raise low-cost capital and solve the legal and public policy issues of access to extraterrestrial resources.

  11. Assortativity decreases the robustness of interdependent networks.

    PubMed

    Zhou, Di; Stanley, H Eugene; D'Agostino, Gregorio; Scala, Antonio

    2012-12-01

    It was recently recognized that interdependencies among different networks can play a crucial role in triggering cascading failures and, hence, systemwide disasters. A recent model shows how pairs of interdependent networks can exhibit an abrupt percolation transition as failures accumulate. We report on the effects of topology on failure propagation for a model system consisting of two interdependent networks. We find that the internal node correlations in each of the two interdependent networks significantly changes the critical density of failures that triggers the total disruption of the two-network system. Specifically, we find that the assortativity (i.e., the likelihood of nodes with similar degree to be connected) within a single network decreases the robustness of the entire system. The results of this study on the influence of assortativity may provide insights into ways of improving the robustness of network architecture and, thus, enhance the level of protection of critical infrastructures.

  12. Assortativity decreases the robustness of interdependent networks

    NASA Astrophysics Data System (ADS)

    Zhou, Di; Stanley, H. Eugene; D'Agostino, Gregorio; Scala, Antonio

    2012-12-01

    It was recently recognized that interdependencies among different networks can play a crucial role in triggering cascading failures and, hence, systemwide disasters. A recent model shows how pairs of interdependent networks can exhibit an abrupt percolation transition as failures accumulate. We report on the effects of topology on failure propagation for a model system consisting of two interdependent networks. We find that the internal node correlations in each of the two interdependent networks significantly changes the critical density of failures that triggers the total disruption of the two-network system. Specifically, we find that the assortativity (i.e., the likelihood of nodes with similar degree to be connected) within a single network decreases the robustness of the entire system. The results of this study on the influence of assortativity may provide insights into ways of improving the robustness of network architecture and, thus, enhance the level of protection of critical infrastructures.

  13. System Dynamics Approach for Critical Infrastructure and Decision Support. A Model for a Potable Water System.

    NASA Astrophysics Data System (ADS)

    Pasqualini, D.; Witkowski, M.

    2005-12-01

    The Critical Infrastructure Protection / Decision Support System (CIP/DSS) project, supported by the Science and Technology Office, has been developing a risk-informed Decision Support System that provides insights for making critical infrastructure protection decisions. The system considers seventeen different Department of Homeland Security defined Critical Infrastructures (potable water system, telecommunications, public health, economics, etc.) and their primary interdependencies. These infrastructures have been modeling in one model called CIP/DSS Metropolitan Model. The modeling approach used is a system dynamics modeling approach. System dynamics modeling combines control theory and the nonlinear dynamics theory, which is defined by a set of coupled differential equations, which seeks to explain how the structure of a given system determines its behavior. In this poster we present a system dynamics model for one of the seventeen critical infrastructures, a generic metropolitan potable water system (MPWS). Three are the goals: 1) to gain a better understanding of the MPWS infrastructure; 2) to identify improvements that would help protect MPWS; and 3) to understand the consequences, interdependencies, and impacts, when perturbations occur to the system. The model represents raw water sources, the metropolitan water treatment process, storage of treated water, damage and repair to the MPWS, distribution of water, and end user demand, but does not explicitly represent the detailed network topology of an actual MPWS. The MPWS model is dependent upon inputs from the metropolitan population, energy, telecommunication, public health, and transportation models as well as the national water and transportation models. We present modeling results and sensitivity analysis indicating critical choke points, negative and positive feedback loops in the system. A general scenario is also analyzed where the potable water system responds to a generic disruption.

  14. Infrastructure Vulnerability Assessment Model (I-VAM).

    PubMed

    Ezell, Barry Charles

    2007-06-01

    Quantifying vulnerability to critical infrastructure has not been adequately addressed in the literature. Thus, the purpose of this article is to present a model that quantifies vulnerability. Vulnerability is defined as a measure of system susceptibility to threat scenarios. This article asserts that vulnerability is a condition of the system and it can be quantified using the Infrastructure Vulnerability Assessment Model (I-VAM). The model is presented and then applied to a medium-sized clean water system. The model requires subject matter experts (SMEs) to establish value functions and weights, and to assess protection measures of the system. Simulation is used to account for uncertainty in measurement, aggregate expert assessment, and to yield a vulnerability (Omega) density function. Results demonstrate that I-VAM is useful to decisionmakers who prefer quantification to qualitative treatment of vulnerability. I-VAM can be used to quantify vulnerability to other infrastructures, supervisory control and data acquisition systems (SCADA), and distributed control systems (DCS).

  15. Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model

    ERIC Educational Resources Information Center

    Ledermann, Thomas; Macho, Siegfried; Kenny, David A.

    2011-01-01

    The assessment of mediation in dyadic data is an important issue if researchers are to test process models. Using an extended version of the actor-partner interdependence model the estimation and testing of mediation is complex, especially when dyad members are distinguishable (e.g., heterosexual couples). We show how the complexity of the model…

  16. Knowledge Interdependence with the Partner, Accuracy of Mutual Knowledge Model and Computer-Supported Collaborative Learning

    ERIC Educational Resources Information Center

    Molinari, Gaelle; Sangin, Mirweis; Dillenbourg, Pierre; Nussli, Marc-Antoine

    2009-01-01

    The present study is part of a project aiming at empirically investigating the process of modeling the partner's knowledge (Mutual Knowledge Modeling or MKM) in Computer-Supported Collaborative Learning (CSCL) settings. In this study, a macro-collaborative script was used to produce knowledge interdependence (KI) among co-learners by providing…

  17. Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model

    ERIC Educational Resources Information Center

    Ledermann, Thomas; Macho, Siegfried; Kenny, David A.

    2011-01-01

    The assessment of mediation in dyadic data is an important issue if researchers are to test process models. Using an extended version of the actor-partner interdependence model the estimation and testing of mediation is complex, especially when dyad members are distinguishable (e.g., heterosexual couples). We show how the complexity of the model…

  18. Cascades of failures in various models of interdependent networks

    NASA Astrophysics Data System (ADS)

    Buldyrev, Sergey; Kadish, Benjamin; Shere, Nathaniel; Aharon, Mitchel; Cwilich, Gabriel

    2012-02-01

    Complex networks appear in almost every aspect of science and technology. Recently an analytical framework for studying the percolation properties of interacting networks has been developed [1]. These studies however have several limitations. The real networks do are not randomly connected. They are often embedded into two dimensional space. The dependency links are not connecting nodes at random but have tendency to connect nodes with similar degrees, or nodes which are close to each other in Euclidian space. Moreover, the network failures may occur not only to the loss of connectivity but also due to overload of nodes with high betweennes. We have study these situations analytically and by computer simulations and found the conditions at which networks collapse in an abrupt first order like transition when the entire network becomes non-functional or fail gradually like in a second order transition as a greater fraction of nodes is removed in the initial attack or failure. [4pt] [1] S. V. Buldyrev, R. Parshani, G. Paul, H. E. Stanley, and S. Havlin, ``Catastrophic cascade of failures in interdependent networks,'' Nature 464, 1025-1028 (2010)

  19. Contextualizing Community Violence and Its Effects: An Ecological Model of Parent-Child Interdependent Coping

    ERIC Educational Resources Information Center

    Aisenberg, Eugene; Ell, Kathleen

    2005-01-01

    This article presents an integrated conceptual framework that contextualizes exposure to community violence and the interpersonal and interdependent processes of parent and child response to community violence. This model posits that parental distress, including post-traumatic stress disorder (PTSD) and depression, is a significant mediator of…

  20. A climate model projection weighting scheme accounting for performance and interdependence

    NASA Astrophysics Data System (ADS)

    Knutti, Reto; Sedláček, Jan; Sanderson, Benjamin M.; Lorenz, Ruth; Fischer, Erich M.; Eyring, Veronika

    2017-02-01

    Uncertainties of climate projections are routinely assessed by considering simulations from different models. Observations are used to evaluate models, yet there is a debate about whether and how to explicitly weight model projections by agreement with observations. Here we present a straightforward weighting scheme that accounts both for the large differences in model performance and for model interdependencies, and we test reliability in a perfect model setup. We provide weighted multimodel projections of Arctic sea ice and temperature as a case study to demonstrate that, for some questions at least, it is meaningless to treat all models equally. The constrained ensemble shows reduced spread and a more rapid sea ice decline than the unweighted ensemble. We argue that the growing number of models with different characteristics and considerable interdependence finally justifies abandoning strict model democracy, and we provide guidance on when and how this can be achieved robustly.

  1. Modelling the effect of perceived interdependence among mental healthcare professionals on their work role performance.

    PubMed

    Markon, Marie-Pierre; Chiocchio, François; Fleury, Marie-Josée

    2017-07-01

    The purpose of mental healthcare system reform was to enhance service efficiency by strengthening primary mental healthcare and increasing service integration in communities. Reinforcing interprofessional teamwork also intended to address the extensive and multidimensional needs of patients with mental disorders by bringing together a broader array of expertise. In this context, mental healthcare professionals (MHCPs) from various health and social care professions are more interdependent in many aspects of their work (tasks, resources, and goals). We wanted to examine the effect of perceived interdependence among MHCPs on their work role performance in the context of mental healthcare. For this purpose, we developed and tested a model coherent with the Input-Mediator-Outcome-Input (IMOI) framework of team effectiveness. Data from questionnaires administered to 315 MHCPs from four local health service networks in Quebec, Canada were analysed through structural equation modelling and mediation analysis. The structural equation model provided a good fit for the data and explained 51% of the variance of work role performance. Perceived collaboration, confidence in the advantages of interprofessional collaboration, involvement in the decision process, knowledge sharing, and satisfaction with the nature of the work partially mediated the effect of perceived interdependence among team members on work role performance. Therefore, perceived interdependence among team members had a positive impact on the work role performance of MHCPs mostly through its effect on favourable team functioning features. This implies, in practice, that increased interdependence of MHCPs would be more likely to truly enhance work role performance if team-based interventions to promote collaborative work and interprofessional teaching and training programs to support work within interprofessional teams were jointly implemented. Participation in the decision process and knowledge sharing should

  2. Perspective: The Climate-Population-Infrastructure Modeling and Simulation Fertile Area for New Research

    SciTech Connect

    Allen, Melissa R; Fernandez, Steven J; Walker, Kimberly A; Fu, Joshua S

    2014-01-01

    Managing the risks posed by climate change and extreme weather to energy production and delivery is a challenge to communities worldwide. As climate conditions change, populations will shift, and demand will re-locate; and networked infrastructures will evolve to accommodate new load centers, and, hopefully, minimize vulnerability to natural disaster. Climate effects such as sea level rise, increased frequency and intensity of natural disasters, force populations to move locations. Displaced population creates new demand for built infrastructure that in turn generates new economic activity that attracts new workers and associated households to the new locations. Infrastructures and their interdependencies will change in reaction to climate drivers as the networks expand into new population areas and as portions of the networks are abandoned as people leave. Thus, infrastructures will evolve to accommodate new load centers while some parts of the network are underused, and these changes will create emerging vulnerabilities. Forecasting the location of these vulnerabilities by combining climate predictions and agent based population movement models shows promise for defining these future population distributions and changes in coastal infrastructure configurations. By combining climate and weather data, engineering algorithms and social theory it has been only recently possible to examine electricity demand response to increased climactic temperatures, population relocation in response to extreme cyclonic events, consequent net population changes and new regional patterns in electricity demand. These emerging results suggest a research agenda of coupling these disparate modelling approaches to understand the implications of climate change for protecting the nation s critical infrastructure.

  3. Modeling structure-function interdependence of pulmonary gas exchange.

    PubMed

    Weibel, Ewald R

    2008-01-01

    Modeling functional processes, such as gas exchange, that occur deep in the lung far from where one can directly observe, depends on knowledge about the precise and quantitative design of the structure of the gas exchanger. This is the case as well for the actual arrangement of alveoli and blood capillaries at the gas exchange surface as for the disposition of gas exchange units with respect to the airway and vascular trees. The serial arrangement of alveoli and their perfusion as parallel units have important consequences for gas exchange.

  4. Peering Strategic Game Models for Interdependent ISPs in Content Centric Internet

    PubMed Central

    Guan, Jianfeng; Xu, Changqiao; Su, Wei; Zhang, Hongke

    2013-01-01

    Emergent content-oriented networks prompt Internet service providers (ISPs) to evolve and take major responsibility for content delivery. Numerous content items and varying content popularities motivate interdependence between peering ISPs to elaborate their content caching and sharing strategies. In this paper, we propose the concept of peering for content exchange between interdependent ISPs in content centric Internet to minimize content delivery cost by a proper peering strategy. We model four peering strategic games to formulate four types of peering relationships between ISPs who are characterized by varying degrees of cooperative willingness from egoism to altruism and interconnected as profit-individuals or profit-coalition. Simulation results show the price of anarchy (PoA) and communication cost in the four games to validate that ISPs should decide their peering strategies by balancing intradomain content demand and interdomain peering relations for an optimal cost of content delivery. PMID:24381517

  5. Peering strategic game models for interdependent ISPs in content centric Internet.

    PubMed

    Zhao, Jia; Guan, Jianfeng; Xu, Changqiao; Su, Wei; Zhang, Hongke

    2013-01-01

    Emergent content-oriented networks prompt Internet service providers (ISPs) to evolve and take major responsibility for content delivery. Numerous content items and varying content popularities motivate interdependence between peering ISPs to elaborate their content caching and sharing strategies. In this paper, we propose the concept of peering for content exchange between interdependent ISPs in content centric Internet to minimize content delivery cost by a proper peering strategy. We model four peering strategic games to formulate four types of peering relationships between ISPs who are characterized by varying degrees of cooperative willingness from egoism to altruism and interconnected as profit-individuals or profit-coalition. Simulation results show the price of anarchy (PoA) and communication cost in the four games to validate that ISPs should decide their peering strategies by balancing intradomain content demand and interdomain peering relations for an optimal cost of content delivery.

  6. Green Infrastructure Models and Tools | Science Inventory ...

    EPA Pesticide Factsheets

    The objective of this project is to modify and refine existing models and develop new tools to support decision making for the complete green infrastructure (GI) project lifecycle, including the planning and implementation of stormwater control in urban and agricultural settings, wastewater management, combined sewer overflow control, pollutant load reduction, and system resilience improvements. The research focus will be on sustainable GI designs and implementation at the watershed level, developing innovative systems and technologies for handling peak wet weather flows and simple, easily understandable tools for communities to use in GI planning and implementation. To share information

  7. FACETS -- Infrastructure for Integrated Fusion Modeling

    NASA Astrophysics Data System (ADS)

    Shasharina, Svetlana; Cary, John; Carlsson, Johan; Hakim, Ammar; Kruger, Scott; Miah, Mahmood; Pletzer, Alexander; Vadlamani, Srinath; Wade-Stein, David; Balay, Satish; McInnes, Lois; Zhang, Hong; Candy, Jeff; Fahey, Mark; Cohen, Ron; Epperly, Tom; Rognlien, Tom; Estep, Don; Pankin, Alexei; Malony, Allen; Morris, Alan; Shende, Sameer; Indireshkumar, Keshavamurthy; McCune, Douglas; Pigarov, Alexander

    2009-11-01

    It is desirable that an infrastructure for integrated fusion modeling has support for: legacy and new components used interchangeably; consistent management of components lifecycle; allocating parallel resources consistent with the nature of participating components and the problem scope; components written in multiple programming languages; composition of sequentially and concurrently executing components respecting dependencies; tight and loose coupling of components; testing and validation of separate and integrated components; and use of multiple platforms from desktops to LCFs. In this poster we will describe the status of the FACETS with respect to these features.

  8. The Component Model of Infrastructure: A Practical Approach to Understanding Public Health Program Infrastructure

    PubMed Central

    Snyder, Kimberly; Rieker, Patricia P.

    2014-01-01

    Functioning program infrastructure is necessary for achieving public health outcomes. It is what supports program capacity, implementation, and sustainability. The public health program infrastructure model presented in this article is grounded in data from a broader evaluation of 18 state tobacco control programs and previous work. The newly developed Component Model of Infrastructure (CMI) addresses the limitations of a previous model and contains 5 core components (multilevel leadership, managed resources, engaged data, responsive plans and planning, networked partnerships) and 3 supporting components (strategic understanding, operations, contextual influences). The CMI is a practical, implementation-focused model applicable across public health programs, enabling linkages to capacity, sustainability, and outcome measurement. PMID:24922125

  9. The component model of infrastructure: a practical approach to understanding public health program infrastructure.

    PubMed

    Lavinghouze, S René; Snyder, Kimberly; Rieker, Patricia P

    2014-08-01

    Functioning program infrastructure is necessary for achieving public health outcomes. It is what supports program capacity, implementation, and sustainability. The public health program infrastructure model presented in this article is grounded in data from a broader evaluation of 18 state tobacco control programs and previous work. The newly developed Component Model of Infrastructure (CMI) addresses the limitations of a previous model and contains 5 core components (multilevel leadership, managed resources, engaged data, responsive plans and planning, networked partnerships) and 3 supporting components (strategic understanding, operations, contextual influences). The CMI is a practical, implementation-focused model applicable across public health programs, enabling linkages to capacity, sustainability, and outcome measurement.

  10. Consideration of an applied model of public health program infrastructure.

    PubMed

    Lavinghouze, René; Snyder, Kimberly; Rieker, Patricia; Ottoson, Judith

    2013-01-01

    Systemic infrastructure is key to public health achievements. Individual public health program infrastructure feeds into this larger system. Although program infrastructure is rarely defined, it needs to be operationalized for effective implementation and evaluation. The Ecological Model of Infrastructure (EMI) is one approach to defining program infrastructure. The EMI consists of 5 core (Leadership, Partnerships, State Plans, Engaged Data, and Managed Resources) and 2 supporting (Strategic Understanding and Tactical Action) elements that are enveloped in a program's context. We conducted a literature search across public health programs to determine support for the EMI. Four of the core elements were consistently addressed, and the other EMI elements were intermittently addressed. The EMI provides an initial and partial model for understanding program infrastructure, but additional work is needed to identify evidence-based indicators of infrastructure elements that can be used to measure success and link infrastructure to public health outcomes, capacity, and sustainability.

  11. Consideration of an Applied Model of Public Health Program Infrastructure

    PubMed Central

    Lavinghouze, Rene; Snyder, Kimberly; Rieker, Patricia; Ottoson, Judith

    2015-01-01

    Systemic infrastructure is key to public health achievements. Individual public health program infrastructure feeds into this larger system. Although program infrastructure is rarely defined, it needs to be operationalized for effective implementation and evaluation. The Ecological Model of Infrastructure (EMI) is one approach to defining program infrastructure. The EMI consists of 5 core (Leadership, Partnerships, State Plans, Engaged Data, and Managed Resources) and 2 supporting (Strategic Understanding and Tactical Action) elements that are enveloped in a program’s context. We conducted a literature search across public health programs to determine support for the EMI. Four of the core elements were consistently addressed, and the other EMI elements were intermittently addressed. The EMI provides an initial and partial model for understanding program infrastructure, but additional work is needed to identify evidence-based indicators of infrastructure elements that can be used to measure success and link infrastructure to public health outcomes, capacity, and sustainability. PMID:23411417

  12. Modeling the resilience of critical infrastructure: the role of network dependencies.

    PubMed

    Guidotti, Roberto; Chmielewski, Hana; Unnikrishnan, Vipin; Gardoni, Paolo; McAllister, Therese; van de Lindt, John

    2016-01-01

    Water and wastewater network, electric power network, transportation network, communication network, and information technology network are among the critical infrastructure in our communities; their disruption during and after hazard events greatly affects communities' well-being, economic security, social welfare, and public health. In addition, a disruption in one network may cause disruption to other networks and lead to their reduced functionality. This paper presents a unified theoretical methodology for the modeling of dependent/interdependent infrastructure networks and incorporates it in a six-step probabilistic procedure to assess their resilience. Both the methodology and the procedure are general, can be applied to any infrastructure network and hazard, and can model different types of dependencies between networks. As an illustration, the paper models the direct effects of seismic events on the functionality of a potable water distribution network and the cascading effects of the damage of the electric power network (EPN) on the potable water distribution network (WN). The results quantify the loss of functionality and delay in the recovery process due to dependency of the WN on the EPN. The results show the importance of capturing the dependency between networks in modeling the resilience of critical infrastructure.

  13. A Simple Approach to Account for Climate Model Interdependence in Multi-Model Ensembles

    NASA Astrophysics Data System (ADS)

    Herger, N.; Abramowitz, G.; Angelil, O. M.; Knutti, R.; Sanderson, B.

    2016-12-01

    Multi-model ensembles are an indispensable tool for future climate projection and its uncertainty quantification. Ensembles containing multiple climate models generally have increased skill, consistency and reliability. Due to the lack of agreed-on alternatives, most scientists use the equally-weighted multi-model mean as they subscribe to model democracy ("one model, one vote").Different research groups are known to share sections of code, parameterizations in their model, literature, or even whole model components. Therefore, individual model runs do not represent truly independent estimates. Ignoring this dependence structure might lead to a false model consensus, wrong estimation of uncertainty and effective number of independent models.Here, we present a way to partially address this problem by selecting a subset of CMIP5 model runs so that its climatological mean minimizes the RMSE compared to a given observation product. Due to the cancelling out of errors, regional biases in the ensemble mean are reduced significantly.Using a model-as-truth experiment we demonstrate that those regional biases persist into the future and we are not fitting noise, thus providing improved observationally-constrained projections of the 21st century. The optimally selected ensemble shows significantly higher global mean surface temperature projections than the original ensemble, where all the model runs are considered. Moreover, the spread is decreased well beyond that expected from the decreased ensemble size.Several previous studies have recommended an ensemble selection approach based on performance ranking of the model runs. Here, we show that this approach can perform even worse than randomly selecting ensemble members and can thus be harmful. We suggest that accounting for interdependence in the ensemble selection process is a necessary step for robust projections for use in impact assessments, adaptation and mitigation of climate change.

  14. Protein (multi-)location prediction: utilizing interdependencies via a generative model

    PubMed Central

    Shatkay, Hagit

    2015-01-01

    Motivation: Proteins are responsible for a multitude of vital tasks in all living organisms. Given that a protein’s function and role are strongly related to its subcellular location, protein location prediction is an important research area. While proteins move from one location to another and can localize to multiple locations, most existing location prediction systems assign only a single location per protein. A few recent systems attempt to predict multiple locations for proteins, however, their performance leaves much room for improvement. Moreover, such systems do not capture dependencies among locations and usually consider locations as independent. We hypothesize that a multi-location predictor that captures location inter-dependencies can improve location predictions for proteins. Results: We introduce a probabilistic generative model for protein localization, and develop a system based on it—which we call MDLoc—that utilizes inter-dependencies among locations to predict multiple locations for proteins. The model captures location inter-dependencies using Bayesian networks and represents dependency between features and locations using a mixture model. We use iterative processes for learning model parameters and for estimating protein locations. We evaluate our classifier MDLoc, on a dataset of single- and multi-localized proteins derived from the DBMLoc dataset, which is the most comprehensive protein multi-localization dataset currently available. Our results, obtained by using MDLoc, significantly improve upon results obtained by an initial simpler classifier, as well as on results reported by other top systems. Availability and implementation: MDLoc is available at: http://www.eecis.udel.edu/∼compbio/mdloc. Contact: shatkay@udel.edu. PMID:26072505

  15. Protein (multi-)location prediction: utilizing interdependencies via a generative model.

    PubMed

    Simha, Ramanuja; Briesemeister, Sebastian; Kohlbacher, Oliver; Shatkay, Hagit

    2015-06-15

    Proteins are responsible for a multitude of vital tasks in all living organisms. Given that a protein's function and role are strongly related to its subcellular location, protein location prediction is an important research area. While proteins move from one location to another and can localize to multiple locations, most existing location prediction systems assign only a single location per protein. A few recent systems attempt to predict multiple locations for proteins, however, their performance leaves much room for improvement. Moreover, such systems do not capture dependencies among locations and usually consider locations as independent. We hypothesize that a multi-location predictor that captures location inter-dependencies can improve location predictions for proteins. We introduce a probabilistic generative model for protein localization, and develop a system based on it-which we call MDLoc-that utilizes inter-dependencies among locations to predict multiple locations for proteins. The model captures location inter-dependencies using Bayesian networks and represents dependency between features and locations using a mixture model. We use iterative processes for learning model parameters and for estimating protein locations. We evaluate our classifier MDLoc, on a dataset of single- and multi-localized proteins derived from the DBMLoc dataset, which is the most comprehensive protein multi-localization dataset currently available. Our results, obtained by using MDLoc, significantly improve upon results obtained by an initial simpler classifier, as well as on results reported by other top systems. MDLoc is available at: http://www.eecis.udel.edu/∼compbio/mdloc. © The Author 2015. Published by Oxford University Press.

  16. Sharing, caring, and surveilling: an actor-partner interdependence model examination of Facebook relational maintenance strategies.

    PubMed

    McEwan, Bree

    2013-12-01

    Abstract Relational maintenance is connected to high quality friendships. Friendship maintenance behaviors may occur online via social networking sites. This study utilized an Actor-Partner Interdependence Model to examine how Facebook maintenance and surveillance affect friendship quality. Bryant and Marmo's (2012) Facebook maintenance scale was evaluated, revealing two factors: sharing and caring. Facebook surveillance was also measured. For friendship satisfaction and liking, significant positive actor and partner effects emerged for caring; significant negative actor, partner, and interaction effects emerged for sharing; and significant positive actor effects emerged for surveillance. For friendship closeness, significant positive actor effects emerged for caring and surveillance.

  17. Critical Infrastructure Protection and Resilience Literature Survey: Modeling and Simulation

    DTIC Science & Technology

    2014-11-01

    laboratories and pharmaceuticals Food Safety, distribution, agriculture and food industry Water Drinking water and wastewater management Transportation...Loss Prevention in the Process Industries . 2011;24(5):688-694. 65. Sultana S, Chen Z. Modeling flood induced interdependencies among...serve as a starting point, CSS has requested NRC Knowledge Management to perform an exploratory study of existing scientific, industrial and

  18. Interdependent Multi-Layer Networks: Modeling and Survivability Analysis with Applications to Space-Based Networks

    PubMed Central

    Castet, Jean-Francois; Saleh, Joseph H.

    2013-01-01

    This article develops a novel approach and algorithmic tools for the modeling and survivability analysis of networks with heterogeneous nodes, and examines their application to space-based networks. Space-based networks (SBNs) allow the sharing of spacecraft on-orbit resources, such as data storage, processing, and downlink. Each spacecraft in the network can have different subsystem composition and functionality, thus resulting in node heterogeneity. Most traditional survivability analyses of networks assume node homogeneity and as a result, are not suited for the analysis of SBNs. This work proposes that heterogeneous networks can be modeled as interdependent multi-layer networks, which enables their survivability analysis. The multi-layer aspect captures the breakdown of the network according to common functionalities across the different nodes, and it allows the emergence of homogeneous sub-networks, while the interdependency aspect constrains the network to capture the physical characteristics of each node. Definitions of primitives of failure propagation are devised. Formal characterization of interdependent multi-layer networks, as well as algorithmic tools for the analysis of failure propagation across the network are developed and illustrated with space applications. The SBN applications considered consist of several networked spacecraft that can tap into each other's Command and Data Handling subsystem, in case of failure of its own, including the Telemetry, Tracking and Command, the Control Processor, and the Data Handling sub-subsystems. Various design insights are derived and discussed, and the capability to perform trade-space analysis with the proposed approach for various network characteristics is indicated. The select results here shown quantify the incremental survivability gains (with respect to a particular class of threats) of the SBN over the traditional monolith spacecraft. Failure of the connectivity between nodes is also examined, and the

  19. Graphic methods for interpreting longitudinal dyadic patterns from repeated-measures actor-partner interdependence models.

    PubMed

    Perry, Nicholas S; Baucom, Katherine J W; Bourne, Stacia; Butner, Jonathan; Crenshaw, Alexander O; Hogan, Jasara N; Imel, Zac E; Wiltshire, Travis J; Baucom, Brian R W

    2017-08-01

    Researchers commonly use repeated-measures actor-partner interdependence models (RM-APIM) to understand how romantic partners change in relation to one another over time. However, traditional interpretations of the results of these models do not fully or correctly capture the dyadic temporal patterns estimated in RM-APIM. Interpretation of results from these models largely focuses on the meaning of single-parameter estimates in isolation from all the others. However, considering individual coefficients separately impedes the understanding of how these associations combine to produce an interdependent pattern that emerges over time. Additionally, positive within-person, or actor, effects are commonly misinterpreted as indicating growth from one time point to the next when they actually represent decline. We suggest that change-as-outcome RM-APIMs and vector field diagrams (VFDs) can be used to improve the understanding and presentation of dyadic patterns of association described by standard RM-APIMs. The current article briefly reviews the conceptual foundations of RM-APIMs, demonstrates how change-as-outcome RM-APIMs and VFDs can aid interpretation of standard RM-APIMs, and provides a tutorial in making VFDs using multilevel modeling. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  20. Modeling Homophily Over Time With an Actor–Partner Interdependence Model

    PubMed Central

    Popp, Danielle; Laursen, Brett; Kerr, Margaret; Stattin, Håkan; Burk, William J.

    2009-01-01

    Selection and socialization have been implicated in friendship homophily, but the relative contributions of each are difficult to measure simultaneously because of the nonindependent nature of the data. To address this problem, the authors applied a multiple-groups longitudinal actor–partner interdependence model (D. A. Kashy & D. A. Kenny, 2000) for distinguishable dyads to 3 consecutive years of intoxication frequency data from a large community-based sample of Swedish youth. Participants, ranging from 12 to 18 years old (M = 14.35, SD = 1.56) at the start of the study, included 902 adolescents (426 girls and 476 boys) with at least one reciprocated friend during at least one time point and 212 adolescents (84 girls and 128 boys) without reciprocated friends at any time. Similarity estimates indicated strong effects for selection and socialization in friends’ intoxication frequency. Over time, younger members of these dyads had less stable patterns of intoxication than older members, largely because younger partners changed their drinking behavior to resemble that of older partners. PMID:18605832

  1. Toolkit of Available EPA Green Infrastructure Modeling ...

    EPA Pesticide Factsheets

    Watershed Management Optimization Support Tool (WMOST) is a software application designed tofacilitate integrated water resources management across wet and dry climate regions. It allows waterresources managers and planners to screen a wide range of practices across their watershed or jurisdictionfor cost-effectiveness and environmental and economic sustainability. WMOST allows users to select up to 15stormwater management practices, including traditional grey infrastructure, green infrastructure, and otherlow impact development practices. Stormwater discharges continue to cause impairment of our Nation’s waterbodies. Conventional stormwater infrastructure, or gray infrastructure, is largely designed to move stormwater away from urban areas through pipes and conduit. Runoff from these surfaces can overwhelm sewer systems and end up contaminating local waterways. When stormwater runs off impervious streets, parking lots, sidewalks, and rooftops, it carries pollutants such as motor oil, lawn chemicals, sediments, and pet waste to streams, rivers, and lakes. Runoff flows can also cause erosion and flooding that can damage property, infrastructure, and wildlife habitat. In addition to runoff problems, impervious surfaces also prevent water from penetrating the soil and recharging groundwater supplies. Green infrastructure (e.g., rain gardens, green roofs, porous pavement, cisterns) is becoming an increasingly attractive way to recharge aquifers and reduce the amou

  2. A Model for the Departmental Quality Management Infrastructure Within an Academic Health System.

    PubMed

    Mathews, Simon C; Demski, Renee; Hooper, Jody E; Biddison, Lee Daugherty; Berry, Stephen A; Petty, Brent G; Chen, Allen R; Hill, Peter M; Miller, Marlene R; Witter, Frank R; Allen, Lisa; Wick, Elizabeth C; Stierer, Tracey S; Paine, Lori; Puttgen, Hans A; Tamargo, Rafael J; Pronovost, Peter J

    2016-09-06

    As quality improvement and patient safety come to play a larger role in health care, academic medical centers and health systems are poised to take a leadership role in addressing these issues. Academic medical centers can leverage their large integrated footprint and have the ability to innovate in this field. However, a robust quality management infrastructure is needed to support these efforts. In this context, quality and safety are often described at the executive level and at the unit level. Yet, the role of individual departments, which are often the dominant functional unit within a hospital, in realizing health system quality and safety goals has not been addressed. Developing a departmental quality management infrastructure is challenging because departments are diverse in composition, size, resources, and needs.In this article, the authors describe the model of departmental quality management infrastructure that has been implemented at the Johns Hopkins Hospital. This model leverages the fractal approach, linking departments horizontally to support peer and organizational learning and connecting departments vertically to support accountability to the hospital, health system, and board of trustees. This model also provides both structure and flexibility to meet individual departmental needs, recognizing that independence and interdependence are needed for large academic medical centers. The authors describe the structure, function, and support system for this model as well as the practical and essential steps for its implementation. They also provide examples of its early success.

  3. Ex-couples' unwanted pursuit behavior: an actor-partner interdependence model approach.

    PubMed

    De Smet, Olivia; Loeys, Tom; Buysse, Ann

    2013-04-01

    Unwanted pursuit behavior (UPB) refers to a wide range of repeated, unwanted, and privacy-violating intrusions that are inflicted to pursue an intimate or romantic relationship. These behaviors most often occur when partners end their romantic entanglements. Despite the fact that UPB is grounded in relationships, psychological explanations for post-breakup UPB perpetration have been restricted to actor effects assessed in samples of separated individuals. For that reason, the present study aimed to identify feasible partner effects that additionally explain UPB perpetration using a Flemish sample of 46 heterosexual divorced couples, beginning with the notion of interdependence. Using actor-partner interdependence models, we explored actor, partner, and gender main and interaction effects of anxious attachment, satisfaction, alternatives, investments, and conflict in the previous marriage on the perpetration of post-divorce UPBs. The significant Partner × Gender interactions of anxious attachment and satisfaction, Actor × Partner interactions of anxious attachment and quality of alternatives, and the marginally significant partner effect of relational conflict underline the important role of the dyad in studying UPB perpetration. These findings shed new light on the nature of UPB perpetration that go beyond the individual and support the use of a systemic approach in clinical practices.

  4. Spatial Data Web Services Pricing Model Infrastructure

    NASA Astrophysics Data System (ADS)

    Ozmus, L.; Erkek, B.; Colak, S.; Cankurt, I.; Bakıcı, S.

    2013-08-01

    The General Directorate of Land Registry and Cadastre (TKGM) which is the leader in the field of cartography largely continues its missions which are; to keep and update land registry and cadastre system of the country under the responsibility of the treasure, to perform transactions related to real estate and to establish Turkish national spatial information system. TKGM a public agency has completed many projects. Such as; Continuously Operating GPS Reference Stations (TUSAGA-Aktif), Geo-Metadata Portal (HBB), Orthophoto-Base Map Production and web services, Completion of Initial Cadastre, Cadastral Renovation Project (TKMP), Land Registry and Cadastre Information System (TAKBIS), Turkish National Spatial Data Infrastructure Project (TNSDI), Ottoman Land Registry Archive Information System (TARBIS). TKGM provides updated map and map information to not only public institutions but also to related society in the name of social responsibility principals. Turkish National Spatial Data Infrastructure activities have been started by the motivation of Circular No. 2003/48 which was declared by Turkish Prime Ministry in 2003 within the context of e-Transformation of Turkey Short-term Action Plan. Action No. 47 in the mentioned action plan implies that "A Feasibility Study shall be made in order to establish the Turkish National Spatial Data Infrastructure" whose responsibility has been given to General Directorate of Land Registry and Cadastre. Feasibility report of NSDI has been completed in 10th of December 2010. After decision of Steering Committee, feasibility report has been send to Development Bank (old name State Planning Organization) for further evaluation. There are two main arrangements with related this project (feasibility report).First; Now there is only one Ministry which is Ministry of Environment and Urbanism responsible for establishment, operating and all national level activities of NSDI. And Second arrangement is related to institutional Level. The

  5. Cascading failures coupled model of interdependent double layered public transit network

    NASA Astrophysics Data System (ADS)

    Zhang, Lin; Fu, Bai-Bai; Li, Shu-Bin

    2016-06-01

    Taking urban public transit network as research perspective, this work introduces the influences of adjacent stations on definition of station initial load, the connected edge transit capacity, and the coupled capacity to modify traditional load-capacity cascading failures (CFs) model. Furthermore, we consider the coupled effect of lower layered public transit network on the CFs of upper layered public transit network, and construct CFs coupled model of double layered public transit network with “interdependent relationship”. Finally, taking Jinan city’s public transit network as example, we give the dynamics simulation analysis of CFs under different control parameters based on measurement indicator of station cascading failures ratio (abbreviated as CF) and the scale of time-step cascading failures (abbreviated as TCFl), get the influencing characteristics of various control parameters, and verify the feasibility of CFs coupled model of double layered public transit network.

  6. Contextualizing community violence and its effects: an ecological model of parent-child interdependent coping.

    PubMed

    Aisenberg, Eugene; Ell, Kathleen

    2005-07-01

    This article presents an integrated conceptual framework that contextualizes exposure to community violence and the interpersonal and interdependent processes of parent and child response to community violence. This model posits that parental distress, including post-traumatic stress disorder (PTSD) and depression, is a significant mediator of child distress symptomatology and behavior problems. The model advances understanding of the impact of community violence in the lives of parents and children through various mechanisms, including social capital. This article underscores the need for a fundamental shift in the study of community violence, in the delivery of mental health services, and in prevention efforts from focusing on the individual child to concentrating on the parent, family, and community-level factors and processes. This article highlights important areas to address in future research, including investigation and specification of the mechanisms and processes by which neighborhoods affect and influence human development outcomes.

  7. A basket two-part model to analyze medical expenditure on interdependent multiple sectors.

    PubMed

    Sugawara, Shinya; Wu, Tianyi; Yamanishi, Kenji

    2016-09-01

    This study proposes a novel statistical methodology to analyze expenditure on multiple medical sectors using consumer data. Conventionally, medical expenditure has been analyzed by two-part models, which separately consider purchase decision and amount of expenditure. We extend the traditional two-part models by adding the step of basket analysis for dimension reduction. This new step enables us to analyze complicated interdependence between multiple sectors without an identification problem. As an empirical application for the proposed method, we analyze data of 13 medical sectors from the Medical Expenditure Panel Survey. In comparison with the results of previous studies that analyzed the multiple sector independently, our method provides more detailed implications of the impacts of individual socioeconomic status on the composition of joint purchases from multiple medical sectors; our method has a better prediction performance.

  8. An actor-partner interdependence model of spousal criticism and depression.

    PubMed

    Peterson, Kristina M; Smith, David A

    2010-08-01

    Although perceived criticism is relational, most theory and research concerns only relatives' criticism toward patients and not the converse. With a sample of 33 depressed patients and their spouses, we take a fully relational approach to criticism by testing an actor-partner interdependence model (Kenny, Kashy, & Cook, 2006). Patient intended criticism was especially strongly associated with depressive symptoms for wives, whereas patient perceived criticism was especially negatively related to depressive symptoms for husbands. Nondepressed partner intended criticism was positively related to patient depressive symptoms, but nondepressed wife perceived criticism was negatively related to husband depressive symptoms. The importance of including patient intended and partner perceived criticism as well as examining sex differences in models of criticism and depression are discussed.

  9. A regional interdependence model of musculoskeletal dysfunction: research, mechanisms, and clinical implications.

    PubMed

    Sueki, Derrick G; Cleland, Joshua A; Wainner, Robert S

    2013-05-01

    The term 'regional interdependence' or RI has recently been introduced into the vernacular of physical therapy and rehabilitation literature as a clinical model of musculoskeletal assessment and intervention. The underlying premise of this model is that seemingly unrelated impairments in remote anatomical regions of the body may contribute to and be associated with a patient's primary report of symptoms. The clinical implication of this premise is that interventions directed at one region of the body will often have effects at remote and seeming unrelated areas. The formalized concept of RI is relatively new and was originally derived in an inductive manner from a variety of earlier publications and clinical observations. However, recent literature has provided additional support to the concept. The primary purpose of this article will be to further refine the operational definition for the concept of RI, examine supporting literature, discuss possible clinically relevant mechanisms, and conclude with a discussion of the implications of these findings on clinical practice and research.

  10. Detecting, measuring, and testing dyadic patterns in the actor-partner interdependence model.

    PubMed

    Kenny, David A; Ledermann, Thomas

    2010-06-01

    Family researchers have used the actor-partner interdependence model (APIM) to study romantic couples, parent-child dyads, and siblings. We discuss a new method to detect, measure, and test different theoretically important patterns in the APIM: equal actor and partner effect (couple pattern); same size, but different signs of actor and partner effects (contrast pattern); and zero partner effects (actor-only pattern). To measure these different patterns, as well as others, we propose the estimation of the parameter k, which equals the partner effect divided by the actor effect. For both indistinguishable dyad members (e.g., twins) and distinguishable dyad members (e.g., heterosexual couples), we propose strategies for estimating and testing different models. We illustrate our new approach with four data sets. (c) 2010 APA, all rights reserved.

  11. Testing crossover effects in an actor-partner interdependence model among Chinese dual-earner couples.

    PubMed

    Liu, Huimin; Cheung, Fanny M

    2015-03-01

    The purpose of the present study is to examine the crossover effects from one partner's work-family interface (work-family conflict [WFC] and work-family enrichment [WFE]) to the other partner's four outcomes (psychological strain, life satisfaction, marital satisfaction and job satisfaction) in a sample of Chinese dual-earner couples. Married couples (N = 361) completed a battery of questionnaires, including the work-family interface scale, the psychological strain scale, the life, marital, as well as job satisfaction scale. Results from the actor-partner interdependence model (APIM) analyses showed that wives' WFE was negatively associated with husbands' psychological strain, and positively associated with husbands' life, marital and job satisfaction. Furthermore, husbands' WFC was negatively related to wives' marital satisfaction, whereas husbands' WFE was positively related to wives' marital satisfaction. Theoretical and practical implications were discussed, and future research directions were provided. © 2014 International Union of Psychological Science.

  12. Reciprocal Associations Among Maternal and Child Characteristics of At-Risk Families: A Longitudinal Actor-Partner Interdependence Model.

    PubMed

    Claridge, Amy M; Wojciak, Armeda S; Lettenberger-Klein, Cassandra G; Pettigrew, Haley V; McWey, Lenore M; Chaviano, Casey L

    2015-07-01

    Researchers have found linear associations among maternal and child characteristics. However, family systems theorists suggest that relationships are more complex and family members are interdependent. We used actor-partner interdependence modeling to unravel associations among maternal and child characteristics to predict outcomes in adolescence. We used data from 361 mother-child dyads from the Longitudinal Studies of Child Abuse and Neglect and found both actor and partner effects. Maternal depression and history of victimization were associated with children's later reports of lower mother-adolescent relationship quality. Children's perceptions of relationship quality were also associated with mothers' later depressive symptoms and perceptions of relationship quality. Overall, results highlighted interdependence among mothers and their children over time. We discuss implications for marriage and family therapists. © 2014 American Association for Marriage and Family Therapy.

  13. Interdependence in Women with Breast Cancer and their Partners: An Inter-Individual Model of Distress

    PubMed Central

    Dorros, Sam M.; Card, Noel A.; Segrin, Chris; Badger, Terry A.

    2010-01-01

    Objective The aim of this investigation was to test whether interdependence in dyads living with breast cancer could account for person-partner crossover effects in distress outcomes. Method The sample consisted of 95 dyads with early-stage breast cancer. By using reciprocal dyadic data from women with breast cancer and their partners, we fit a structural equation model (SEM) of the actor-partner interdependence model (APIM) to examine the interaction of participants’ depression and stress in predicting their partner’s health outcomes. Results Results revealed a pattern of influence whereby the interaction of high levels of depression coupled with high levels of stress in women with breast cancer was associated with lowered physical health and well-being in their partners. Although depression seemed to be the key mechanism in predicting distressing outcomes, when depression is combined with any additional stress, the level of physical distress was significantly greater. Results provided preliminary empirical support for crossover effects in the physical well-being of close relational partners in a cancer-related context. Further, results showed that distressing outcomes do not have to be limited to emotional distress, but can also include physical distress. Conclusions The findings from this study illustrate why it is not sufficient to concentrate care solely on the patient with cancer. Monitoring the social well-being of patients as they go through the cancer process could be as important as assessing their psychological state or other peripheral biomarkers. This line of inquiry would be advanced by including methods other than self-report to assess psychological and physical health. PMID:20099957

  14. Failure cascade in interdependent network with traffic loads

    NASA Astrophysics Data System (ADS)

    Hong, Sheng; Wang, Baoqing; Ma, Xiaomin; Wang, Jianghui; Zhao, Tingdi

    2015-12-01

    Complex networks have been widely studied recent years, but most researches focus on the single, non-interacting networks. With the development of modern systems, many infrastructure networks are coupled together and therefore should be modeled as interdependent networks. For interdependent networks, failure of nodes in one network may lead to failure of dependent nodes in the other networks. This may happen recursively and lead to a failure cascade. In the real world, different networks carry different traffic loads. Overload and load redistribution may lead to more nodes’ failure. Considering the dependency between the interdependent networks and the traffic load, a small fraction of fault nodes may lead to complete fragmentation of a system. Based on the robust analysis of interdependent networks, we propose a costless defense strategy to suppress the failure cascade. Our findings highlight the need to consider the load and coupling preference when designing robust interdependent networks. And it is necessary to take actions in the early stage of the failure cascade to decrease the losses caused by the large-scale breakdown of infrastructure networks.

  15. Parental Self-Efficacy and Positive Contributions Regarding Autism Spectrum Condition: An Actor-Partner Interdependence Model

    ERIC Educational Resources Information Center

    García-López, Cristina; Sarriá, Encarnación; Pozo, Pilar

    2016-01-01

    Couples affect each other cognitively, emotionally and behaviorally. The goal of this study is to test the benefits and potential use of the actor-partner interdependence model in examining how parental self-efficacy and positive contributions of fathers and mothers of children with Autism Spectrum Condition influence each other's psychological…

  16. Parental Self-Efficacy and Positive Contributions Regarding Autism Spectrum Condition: An Actor-Partner Interdependence Model

    ERIC Educational Resources Information Center

    García-López, Cristina; Sarriá, Encarnación; Pozo, Pilar

    2016-01-01

    Couples affect each other cognitively, emotionally and behaviorally. The goal of this study is to test the benefits and potential use of the actor-partner interdependence model in examining how parental self-efficacy and positive contributions of fathers and mothers of children with Autism Spectrum Condition influence each other's psychological…

  17. "Does It Count?" and "Who Can Speak?": An Interdependent Model of Knowledge-Production in Public and Traditional Scholarship

    ERIC Educational Resources Information Center

    Grobman, Laurie

    2016-01-01

    This article presents a model of public scholarship in which the knowledge-generation binary in traditional and public scholarship can and does blur, even dissolve, through interdependent partnerships. The author analyzes the overlapping issues of authority and voice between the scholarship of community-engaged research and the discipline of…

  18. Interdependent networks: vulnerability analysis and strategies to limit cascading failure

    NASA Astrophysics Data System (ADS)

    Fu, Gaihua; Dawson, Richard; Khoury, Mehdi; Bullock, Seth

    2014-07-01

    Network theory is increasingly employed to study the structure and behaviour of social, physical and technological systems — including civil infrastructure. Many of these systems are interconnected and the interdependencies between them allow disruptive events to propagate across networks, enabling damage to spread far beyond the immediate footprint of disturbance. In this research we experiment with a model to characterise the configuration of interdependencies in terms of direction, redundancy, and extent, and we analyse the performance of interdependent systems with a wide range of possible coupling modes. We demonstrate that networks with directed dependencies are less robust than those with undirected dependencies, and that the degree of redundancy in inter-network dependencies can have a differential effect on robustness depending on the directionality of the dependencies. As interdependencies between many real-world systems exhibit these characteristics, it is likely that many such systems operate near their critical thresholds. The vulnerability of an interdependent network is shown to be reducible in a cost effective way, either by optimising inter-network connections, or by hardening high degree nodes. The results improve understanding of the influence of interdependencies on system performance and provide insight into how to mitigate associated risks.

  19. A Comparison of Techniques for Optimal Infrastructure Restoration

    DTIC Science & Technology

    2014-12-01

    failures can have large impacts on critical infrastructure (e.g., telecommunication networks, power networks, transportation networks and distribution...serious impacts on the humans and the economy of a country. Critical civil infrastructures include telecommunication networks, power net- works...use interdependent power de- livery and telecommunication systems as an example to show the capability of their model for the development of design

  20. Terrorism Risk Modeling for Intelligence Analysis and Infrastructure Protection

    DTIC Science & Technology

    2007-01-01

    COVERED 00-00-2007 to 00-00-2007 4. TITLE AND SUBTITLE Terrorism Risk Modeling for Intelligence Analysis and Infrastructure Protection 5a...meet high standards for re- search quality and objectivity. Terrorism Risk Modeling for Intelligence Analysis and Infrastructure Protection Henry H...across differ- ent urban areas, to assess terrorism risks within a metropolitan area, and to target intelligence analysis and collection efforts. The

  1. Point process models for localization and interdependence of punctate cellular structures.

    PubMed

    Li, Ying; Majarian, Timothy D; Naik, Armaghan W; Johnson, Gregory R; Murphy, Robert F

    2016-07-01

    Accurate representations of cellular organization for multiple eukaryotic cell types are required for creating predictive models of dynamic cellular function. To this end, we have previously developed the CellOrganizer platform, an open source system for generative modeling of cellular components from microscopy images. CellOrganizer models capture the inherent heterogeneity in the spatial distribution, size, and quantity of different components among a cell population. Furthermore, CellOrganizer can generate quantitatively realistic synthetic images that reflect the underlying cell population. A current focus of the project is to model the complex, interdependent nature of organelle localization. We built upon previous work on developing multiple non-parametric models of organelles or structures that show punctate patterns. The previous models described the relationships between the subcellular localization of puncta and the positions of cell and nuclear membranes and microtubules. We extend these models to consider the relationship to the endoplasmic reticulum (ER), and to consider the relationship between the positions of different puncta of the same type. Our results do not suggest that the punctate patterns we examined are dependent on ER position or inter- and intra-class proximity. With these results, we built classifiers to update previous assignments of proteins to one of 11 patterns in three distinct cell lines. Our generative models demonstrate the ability to construct statistically accurate representations of puncta localization from simple cellular markers in distinct cell types, capturing the complex phenomena of cellular structure interaction with little human input. This protocol represents a novel approach to vesicular protein annotation, a field that is often neglected in high-throughput microscopy. These results suggest that spatial point process models provide useful insight with respect to the spatial dependence between cellular structures.

  2. [Health Promoting Behavior in Pregnant Couples: Actor-Partner Interdependence Model Analysis].

    PubMed

    Kim, Ju Hee; Song, Young A

    2017-08-01

    This study aimed to identify the actor and partner effects of self-efficacy, marital adjustment, and social support on the health promoting behavior of Korean pregnant couples. Participants were 132 couples who met the eligibility criteria. Data were collected from June to November, 2016 at a community health center. The Actor-Partner Interdependence Model was used for analyzing the actor and partner effects of self-efficacy, marital adjustment, and social support on health promoting behavior. The fitness indices for the model were GFI=0.90, NFI=0.92, CFI=0.91, TLI=0.90, and RMSEA=0.04, which satisfied the criteria. Self-efficacy had actor and partner effect on health promoting behavior of wives, but had only actor effect of on health promoting behavior of husbands. Marital adjustment showed actor and partner effect on the health promoting behavior of pregnant couples. Social support only had an actor effect on the health promoting behavior of wives. And, marital adjustment and social support had a mutual effect. This study indicates that the partner involvement is needed to develop health promotion programs for pregnant couples.

  3. Modelling of hydrogen infrastructure for vehicle refuelling in London

    NASA Astrophysics Data System (ADS)

    Joffe, D.; Hart, D.; Bauen, A.

    One of the principal barriers to the widespread use of hydrogen as a road transport fuel is the need for a refuelling infrastructure to be established. The lack of an adequate refuelling infrastructure would severely inhibit an uptake of hydrogen vehicles. On the other hand, without significant penetration of these vehicles, the demand for hydrogen would be insufficient to make a widespread conventional refuelling infrastructure economic. The infrastructure is likely to develop initially in cities, due to the high concentration of vehicles and the anticipated air quality benefits of a switch to hydrogen as a road transport fuel. While trial schemes such as the Clean Urban Transport for Europe (CUTE) bus project will establish initial hydrogen refuelling sites, it is not clear how a transition to a widespread refuelling infrastructure will occur. Indeed, the number of possible different ways and scales of producing and distributing hydrogen means that the possible configurations for such an infrastructure are almost endless. Imperial College London is examining transition strategies for a hydrogen infrastructure for vehicle refuelling in London under a project funded by the UK Engineering and Physical Sciences Research Council (EPSRC). Imperial has five project partners from industry and local government to assist in this study: the Greater London Authority (GLA), BP, BOC, BMW and Air Products. This paper presents initial results from technical modelling of hydrogen infrastructure technologies and how they could be deployed to provide an initial facility for the refuelling of hydrogen fuel-cell buses in London. The results suggest that the choice of H 2 production technology can have significant effects on when the infrastructure would be installed, and the timing of hydrogen production, and bus refuelling.

  4. Risk Modeling of Interdependent Complex Systems of Systems: Theory and Practice.

    PubMed

    Haimes, Yacov Y

    2017-04-24

    The emergence of the complexity characterizing our systems of systems (SoS) requires a reevaluation of the way we model, assess, manage, communicate, and analyze the risk thereto. Current models for risk analysis of emergent complex SoS are insufficient because too often they rely on the same risk functions and models used for single systems. These models commonly fail to incorporate the complexity derived from the networks of interdependencies and interconnectedness (I-I) characterizing SoS. There is a need to reevaluate currently practiced risk analysis to respond to this reality by examining, and thus comprehending, what makes emergent SoS complex. The key to evaluating the risk to SoS lies in understanding the genesis of characterizing I-I of systems manifested through shared states and other essential entities within and among the systems that constitute SoS. The term "essential entities" includes shared decisions, resources, functions, policies, decisionmakers, stakeholders, organizational setups, and others. This undertaking can be accomplished by building on state-space theory, which is fundamental to systems engineering and process control. This article presents a theoretical and analytical framework for modeling the risk to SoS with two case studies performed with the MITRE Corporation and demonstrates the pivotal contributions made by shared states and other essential entities to modeling and analysis of the risk to complex SoS. A third case study highlights the multifarious representations of SoS, which require harmonizing the risk analysis process currently applied to single systems when applied to complex SoS. © 2017 Society for Risk Analysis.

  5. Tools for 21st Century infrastructure protection

    SciTech Connect

    Trost, S.R.

    1997-07-01

    The President`s Commission on Critical Infrastructure Protection (PCCEP) was formed under Executive Order 13010 to recommend a national strategy for protecting and assuring critical infrastructures. Eight critical infrastructure elements have been identified. This paper provides an overview of tools necessary to conduct in depth analysis and characterization of threats, vulnerabilities, and interdependencies of critical infrastructure subsystems, and their interaction with each other. Particular emphasis is placed on research requirements necessary to develop the next generation of tools. In addition to tools, a number of system level research suggestions are made including developing a system architecture, data flow models, national level resources, and a national test bed.

  6. Approaches to improve the robustness on interdependent networks against cascading failures with load-based model

    NASA Astrophysics Data System (ADS)

    Dong, Zhengcheng; Fang, Yanjun; Tian, Meng; Zhang, Rong

    2015-11-01

    With load-based model, considering the loss of capacity on nodes, we investigate how the coupling strength (many-to-many coupled pattern) and link patterns (one-to-one coupled pattern) can affect the robustness of interdependent networks. In one-to-one coupled pattern, we take into account the properties of degree and betweenness, and adopt four kinds of inter-similarity link patterns and random link pattern. In many-to-many coupled pattern, we propose a novel method to build new networks via adding inter-links (coupled links) on the existing one-to-one coupled networks. For a full investigation on the effects, we conduct two types of attack strategies, i.e. RO-attack (randomly remove only one node) and RF-attack (randomly remove a fraction of nodes). We numerically find that inter-similarity link patterns and bigger coupling strength can effectively improve the robustness under RO-attacks and RF-attacks in some cases. Therefore, the inter-similarity link patterns can be applied during the initial period of network construction. Once the networks are completed, the robustness level can be improved via adding inter-links appropriately without changing the existing inter-links and topologies of networks. We also find that BA-BA topology is a better choice and that it is not useful to infinitely increase the capacity which is defined as the cost of networks.

  7. Modeling hospitals' adaptive capacity during a loss of infrastructure services.

    PubMed

    Vugrin, Eric D; Verzi, Stephen J; Finley, Patrick D; Turnquist, Mark A; Griffin, Anne R; Ricci, Karen A; Wyte-Lake, Tamar

    2015-01-01

    Resilience in hospitals - their ability to withstand, adapt to, and rapidly recover from disruptive events - is vital to their role as part of national critical infrastructure. This paper presents a model to provide planning guidance to decision makers about how to make hospitals more resilient against possible disruption scenarios. This model represents a hospital's adaptive capacities that are leveraged to care for patients during loss of infrastructure services (power, water, etc.). The model is an optimization that reallocates and substitutes resources to keep patients in a high care state or allocates resources to allow evacuation if necessary. An illustrative example demonstrates how the model might be used in practice.

  8. Toward an ontology framework supporting the integration of geographic information with modeling and simulation for critical infrastructure protection

    SciTech Connect

    Ambrosiano, John J; Bent, Russell W; Linger, Steve P

    2009-01-01

    Protecting the nation's infrastructure from natural disasters, inadvertent failures, or intentional attacks is a major national security concern. Gauging the fragility of infrastructure assets, and understanding how interdependencies across critical infrastructures affect their behavior, is essential to predicting and mitigating cascading failures, as well as to planning for response and recovery. Modeling and simulation (M&S) is an indispensable part of characterizing this complex system of systems and anticipating its response to disruptions. Bringing together the necessary components to perform such analyses produces a wide-ranging and coarse-grained computational workflow that must be integrated with other analysis workflow elements. There are many points in both types of work flows in which geographic information (GI) services are required. The GIS community recognizes the essential contribution of GI in this problem domain as evidenced by past OGC initiatives. Typically such initiatives focus on the broader aspects of GI analysis workflows, leaving concepts crucial to integrating simulations within analysis workflows to that community. Our experience with large-scale modeling of interdependent critical infrastructures, and our recent participation in a DRS initiative concerning interoperability for this M&S domain, has led to high-level ontological concepts that we have begun to assemble into an architecture that spans both computational and 'world' views of the problem, and further recognizes the special requirements of simulations that go beyond common workflow ontologies. In this paper we present these ideas, and offer a high-level ontological framework that includes key geospatial concepts as special cases of a broader view.

  9. Hope and social support in elderly patients with cancer and their partners: an actor-partner interdependence model.

    PubMed

    Goldzweig, Gil; Baider, Lea; Andritsch, Elisabeth; Rottenberg, Yakir

    2016-12-01

    Assess relationships between oldest-old (minimum 86 years) patients' perceived social support to their own and their spousal caregivers' hope through application of the actor-partner interdependence model (APIM). 58 dyads of patients and their spousal caregivers completed standardized self-report measures of depression, distress, hope and social support. Patients presented high distress levels. Among patients and spouses, perceived social support was positively correlated to their own level of hope (β = 0.44, p < 0.0001; β = 0.56, p < 0.0001, respectively) and negatively correlated to the other's level of hope (β = -0.25, p < 0.024; β = -0.44, p < 0.0001, respectively). The actor-partner interdependence model was found to be adequate for describing relationships between social support and hope among dyads of oldest-old patients and their spousal caregivers. Patients and caregiver seem to utilize social support to enhance hope.

  10. Development and Interdependence. A One-Semester Model Curriculum for Secondary Schools and Undergraduate Colleges.

    ERIC Educational Resources Information Center

    Schaeffler, Walter S.; Collier, Anne B.

    The interdisciplinary curriculum on global economic and social development and interdependence traces Western development trends, investigates current issues and processes in development, and offers a development planning exercise. An introductory section serves as a teacher's guide. It discusses the skills developed by the activities, suggests…

  11. Interdependence in Women with Breast Cancer and Their Partners: An Interindividual Model of Distress

    ERIC Educational Resources Information Center

    Dorros, Sam M.; Card, Noel A.; Segrin, Chris; Badger, Terry A.

    2010-01-01

    Objective: The aim of this investigation was to test whether interdependence in dyads living with breast cancer could account for person-partner crossover effects in distress outcomes. Method: The sample consisted of 95 dyads with early-stage breast cancer. By using reciprocal dyadic data from women with breast cancer and their partners, we fit a…

  12. Interdependence in Women with Breast Cancer and Their Partners: An Interindividual Model of Distress

    ERIC Educational Resources Information Center

    Dorros, Sam M.; Card, Noel A.; Segrin, Chris; Badger, Terry A.

    2010-01-01

    Objective: The aim of this investigation was to test whether interdependence in dyads living with breast cancer could account for person-partner crossover effects in distress outcomes. Method: The sample consisted of 95 dyads with early-stage breast cancer. By using reciprocal dyadic data from women with breast cancer and their partners, we fit a…

  13. Modeling, Simulation and Analysis of Public Key Infrastructure

    NASA Technical Reports Server (NTRS)

    Liu, Yuan-Kwei; Tuey, Richard; Ma, Paul (Technical Monitor)

    1998-01-01

    Security is an essential part of network communication. The advances in cryptography have provided solutions to many of the network security requirements. Public Key Infrastructure (PKI) is the foundation of the cryptography applications. The main objective of this research is to design a model to simulate a reliable, scalable, manageable, and high-performance public key infrastructure. We build a model to simulate the NASA public key infrastructure by using SimProcess and MatLab Software. The simulation is from top level all the way down to the computation needed for encryption, decryption, digital signature, and secure web server. The application of secure web server could be utilized in wireless communications. The results of the simulation are analyzed and confirmed by using queueing theory.

  14. Using actor-partner interdependence modeling to understand HPV vaccine acceptance

    PubMed Central

    Vanable, Peter A.; Bonafide, Katherine E.; Brown, Jennifer L.; Bostwick, Rebecca A.; Carey, Michael P.

    2017-01-01

    A wealth of scientific literature has been devoted to understanding what factors influence parents and their adolescent children to obtain the HPV vaccine. This literature is relatively uniform in its methodological approach of sampling individuals (i.e., either parents or adolescents) and examining the predictors of uptake for that individual. To improve understanding of HPV vaccination uptake, we sampled low-income, African American parent-child dyads with either a female (n = 93) or a male (n = 116) adolescent who had not been vaccinated. Both parents and children completed self-report measures that tapped intent to receive the vaccine and hypothesized predictors of intent (i.e., self-efficacy, beliefs about the vaccine, beliefs about HPV, knowledge of HPV). Using a dyadic analytic approach (i.e., the Actor-Partner Interdependence Model or APIM) [1], we found that parents and their adolescents have different structures of beliefs regarding HPV vaccination (i.e., they are empirically distinguishable). Consistent with prior research, the majority of predictors of an individual’s own intention to vaccinate were individual-level variables; uniquely though, some predictors endorsed by one member of the dyad influenced the intentions held by the other member. Specifically, parents’ reports of HPV severity and their self-efficacy were both associated with adolescents’ intent to obtain the vaccine. Further, adolescents’ beliefs that the vaccine will lead to greater promiscuity or be stigmatizing were associated with parents holding an increased intent to vaccinate. Use APIM improves understanding of HPV vaccination uptake and can be used to guide intervention efforts. PMID:28750068

  15. Using actor-partner interdependence modeling to understand HPV vaccine acceptance.

    PubMed

    VanderDrift, Laura E; Vanable, Peter A; Bonafide, Katherine E; Brown, Jennifer L; Bostwick, Rebecca A; Carey, Michael P

    2017-01-01

    A wealth of scientific literature has been devoted to understanding what factors influence parents and their adolescent children to obtain the HPV vaccine. This literature is relatively uniform in its methodological approach of sampling individuals (i.e., either parents or adolescents) and examining the predictors of uptake for that individual. To improve understanding of HPV vaccination uptake, we sampled low-income, African American parent-child dyads with either a female (n = 93) or a male (n = 116) adolescent who had not been vaccinated. Both parents and children completed self-report measures that tapped intent to receive the vaccine and hypothesized predictors of intent (i.e., self-efficacy, beliefs about the vaccine, beliefs about HPV, knowledge of HPV). Using a dyadic analytic approach (i.e., the Actor-Partner Interdependence Model or APIM) [1], we found that parents and their adolescents have different structures of beliefs regarding HPV vaccination (i.e., they are empirically distinguishable). Consistent with prior research, the majority of predictors of an individual's own intention to vaccinate were individual-level variables; uniquely though, some predictors endorsed by one member of the dyad influenced the intentions held by the other member. Specifically, parents' reports of HPV severity and their self-efficacy were both associated with adolescents' intent to obtain the vaccine. Further, adolescents' beliefs that the vaccine will lead to greater promiscuity or be stigmatizing were associated with parents holding an increased intent to vaccinate. Use APIM improves understanding of HPV vaccination uptake and can be used to guide intervention efforts.

  16. Sustainable infrastructure system modeling under uncertainties and dynamics

    NASA Astrophysics Data System (ADS)

    Huang, Yongxi

    Infrastructure systems support human activities in transportation, communication, water use, and energy supply. The dissertation research focuses on critical transportation infrastructure and renewable energy infrastructure systems. The goal of the research efforts is to improve the sustainability of the infrastructure systems, with an emphasis on economic viability, system reliability and robustness, and environmental impacts. The research efforts in critical transportation infrastructure concern the development of strategic robust resource allocation strategies in an uncertain decision-making environment, considering both uncertain service availability and accessibility. The study explores the performances of different modeling approaches (i.e., deterministic, stochastic programming, and robust optimization) to reflect various risk preferences. The models are evaluated in a case study of Singapore and results demonstrate that stochastic modeling methods in general offers more robust allocation strategies compared to deterministic approaches in achieving high coverage to critical infrastructures under risks. This general modeling framework can be applied to other emergency service applications, such as, locating medical emergency services. The development of renewable energy infrastructure system development aims to answer the following key research questions: (1) is the renewable energy an economically viable solution? (2) what are the energy distribution and infrastructure system requirements to support such energy supply systems in hedging against potential risks? (3) how does the energy system adapt the dynamics from evolving technology and societal needs in the transition into a renewable energy based society? The study of Renewable Energy System Planning with Risk Management incorporates risk management into its strategic planning of the supply chains. The physical design and operational management are integrated as a whole in seeking mitigations against the

  17. System Interdependency Modeling in the Design of Prognostic and Health Management Systems in Smart Manufacturing

    PubMed Central

    Malinowski, M.L.; Beling, P.A.; Haimes, Y.Y.; LaViers, A.; Marvel, J.A.; Weiss, B.A.

    2017-01-01

    The fields of risk analysis and prognostics and health management (PHM) have developed in a largely independent fashion. However, both fields share a common core goal. They aspire to manage future adverse consequences associated with prospective dysfunctions of the systems under consideration due to internal or external forces. This paper describes how two prominent risk analysis theories and methodologies – Hierarchical Holographic Modeling (HHM) and Risk Filtering, Ranking, and Management (RFRM) – can be adapted to support the design of PHM systems in the context of smart manufacturing processes. Specifically, the proposed methodologies will be used to identify targets – components, subsystems, or systems – that would most benefit from a PHM system in regards to achieving the following objectives: minimizing cost, minimizing production/maintenance time, maximizing system remaining usable life (RUL), maximizing product quality, and maximizing product output. HHM is a comprehensive modeling theory and methodology that is grounded on the premise that no system can be modeled effectively from a single perspective. It can also be used as an inductive method for scenario structuring to identify emergent forced changes (EFCs) in a system. EFCs connote trends in external or internal sources of risk to a system that may adversely affect specific states of the system. An important aspect of proactive risk management includes bolstering the resilience of the system for specific EFCs by appropriately controlling the states. Risk scenarios for specific EFCs can be the basis for the design of prognostic and diagnostic systems that provide real-time predictions and recognition of scenario changes. The HHM methodology includes visual modeling techniques that can enhance stakeholders’ understanding of shared states, resources, objectives and constraints among the interdependent and interconnected subsystems of smart manufacturing systems. In risk analysis, HHM is often

  18. National environmental/economic infrastructure system model

    SciTech Connect

    Drake, R.H.; Hardie, R.W.; Loose, V.W.; Booth, S.R.

    1997-08-01

    This is the final report for a one-year Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The ultimate goal was to develop a new methodology for macroeconomic modeling applied to national environmental and economic problems. A modeling demonstration and briefings were produced, and significant internal technical support and program interest has been generated. External contacts with DOE`s Office of Environmental Management (DOE-EM), US State Department, and the US intelligence community were established. As a result of DOE-EM interest and requests for further development, this research has been redirected to national environmental simulations as a new LDRD project.

  19. Data Modeling & the Infrastructural Nature of Conceptual Tools

    ERIC Educational Resources Information Center

    Lesh, Richard; Caylor, Elizabeth; Gupta, Shweta

    2007-01-01

    The goal of this paper is to demonstrate the infrastructural nature of many modern conceptual technologies. The focus of this paper is on conceptual tools associated with elementary types of data modeling. We intend to show a variety of ways in which these conceptual tools not only express thinking, but also mold and shape thinking. And those ways…

  20. Modeling green infrastructure land use changes on future air ...

    EPA Pesticide Factsheets

    Green infrastructure can be a cost-effective approach for reducing stormwater runoff and improving water quality as a result, but it could also bring co-benefits for air quality: less impervious surfaces and more vegetation can decrease the urban heat island effect, and also result in more removal of air pollutants via dry deposition with increased vegetative surfaces. Cooler surface temperatures can also decrease ozone formation through the increases of NOx titration; however, cooler surface temperatures also lower the height of the boundary layer resulting in more concentrated pollutants within the same volume of air, especially for primary emitted pollutants (e.g. NOx, CO, primary particulate matter). To better understand how green infrastructure impacts air quality, the interactions between all of these processes must be considered collectively. In this study, we use a comprehensive coupled meteorology-air quality model (WRF-CMAQ) to simulate the influence of planned land use changes that include green infrastructure in Kansas City (KC) on regional meteorology and air quality. Current and future land use data was provided by the Mid-America Regional Council for 2012 and 2040 (projected land use due to population growth, city planning and green infrastructure implementation). These land use datasets were incorporated into the WRF-CMAQ modeling system allowing the modeling system to propagate the changes in vegetation and impervious surface coverage on meteoro

  1. A Tissue Engineered Model of Aging: Interdependence and Cooperative Effects in Failing Tissues.

    PubMed

    Acun, A; Vural, D C; Zorlutuna, P

    2017-07-11

    Aging remains a fundamental open problem in modern biology. Although there exist a number of theories on aging on the cellular scale, nearly nothing is known about how microscopic failures cascade to macroscopic failures of tissues, organs and ultimately the organism. The goal of this work is to bridge microscopic cell failure to macroscopic manifestations of aging. We use tissue engineered constructs to control the cellular-level damage and cell-cell distance in individual tissues to establish the role of complex interdependence and interactions between cells in aging tissues. We found that while microscopic mechanisms drive aging, the interdependency between cells plays a major role in tissue death, providing evidence on how cellular aging is connected to its higher systemic consequences.

  2. Interdependence between Army Conventional Forces and Special Operations Forces: Changing Institutional Mental Models

    DTIC Science & Technology

    2013-03-23

    and joint activities between U.S. Army CF and SOF, a lack of interdependence dilutes outcomes of theatre security campaign plans. If the forcing...organizational learning, then the risk to successful theatre security cooperation increases due to a waning shared understanding between CF and SOF. 1...operational environment. Every geographic combatant command, or GCC, designs theatre security campaign plans, setting the stage for consistent CF

  3. Infrastructure development assistance modeling for nuclear power plant

    SciTech Connect

    Park, J. H.; Hwang, K.; Park, K. M.; Kim, S. W.; Lee, S. M.

    2012-07-01

    The purpose of this paper is to develop a model, a general frame to be utilized in assisting newcomer countries to start a nuclear power program. A nuclear power plant project involves technical complexity and high level of investment with long duration. Considering newcomers are mostly developing countries that lack the national infrastructure, key infrastructure issues may constitute the principal constraints to the development of a nuclear power program. In this regard, it is important to provide guidance and support to set up an appropriate infrastructure when we help them with the first launch of nuclear power plant project. To date, as a sole nuclear power generation company, KHNP has been invited many times to mentor or assist newcomer countries for their successful start of a nuclear power program since Republic of Korea is an exemplary case of a developing country which began nuclear power program from scratch and became a major world nuclear energy country in a short period of time. Through hosting events organized to aid newcomer countries' initiation of nuclear power projects, difficulties have been recognized. Each event had different contents according to circumstances because they were held as an unstructured and one-off thing. By developing a general model, we can give more adequate and effective aid in an efficient way. In this paper, we created a model to identify necessary infrastructures at the right stage, which was mainly based on a case of Korea. Taking into account the assistance we received from foreign companies and our own efforts for technological self-reliance, we have developed a general time table and specified activities required to do at each stage. From a donor's perspective, we explored various ways to help nuclear infrastructure development including technical support programs, training courses, and participating in IAEA technical cooperation programs on a regular basis. If we further develop the model, the next task would be to

  4. Model institutional infrastructures for recycling of photovoltaic modules

    SciTech Connect

    Moscowitz, P.D.; Reaven, J.; Fthenakis, V.M.

    1996-07-01

    This paper describes model approaches to designing an institutional infrastructure for the recycling of decommissioned photovoltaic modules; more detailed discussion of the information presented in this paper is contained in Reaven et al., (1996)[1]. The alternative approaches are based on experiences in other industries, with other products and materials. In the aluminum, scrap iron, and container glass industries, where recycling is a long-standing, even venerable practice, predominantly private, fully articulated institutional infrastructures exist. Nevertheless, even in these industries, arrangements are constantly evolving in response to regulatory changes, competition, and new technological developments. Institutional infrastructures are less settled for younger large- scale recycling industries that target components of the municipal solid waste (MSW) stream, such as cardboard and newspaper, polyethylene terephthalate (PET) and high-density polyethylene (HDPE) plastics, and textiles. In these industries the economics, markets, and technologies are rapidly changing. Finally, many other industries are developing projects to ensure that their products are recycled (and recyclable) e.g., computers, non-automotive batteries, communications equipment, motor and lubrication oil and oil filters, fluorescent lighting fixtures, automotive plastics and shredder residues, and bulk industrial chemical wastes. The lack of an an adequate recycling infrastructure, attractive end-markets, and clear the economic incentives, can be formidable impediments to a self- sustaining recycling system.

  5. Can the linguistic interdependence theory support a bilingual-bicultural model of literacy education for deaf students?

    PubMed

    Mayer, C; Wells, G

    1996-01-01

    Drawing on Cummins' (1989) linguistic interdependence model, proponents of bilingual-bicultural models of literacy education for deaf students claim that, if ASL is well established as the L1, then literacy in English (L2) can be achieved by means of reading and writing without exposure to English through either speech or English-based sign. In our opinion, this claim is based on a false analogy: the situation of the deaf learner of English literacy does not match the conditions assumed by the linguistic interdependence model. We draw on the work of Vygotsky and Halliday to develop a conceptualization of the processes involved in becoming literate, examining the particular and unique challenges that deaf students face as they strive to become members of the linguistic community of users of written English. We argue that becoming literate involves mastering three modes of lanuage use: 'social speech,' 'inner speech,' and written text. In some respects the educational context for deaf students is analogous to that of other bilingual learners; in some crucial aspects, it is very different.

  6. A longitudinal investigation of the friendship model of relational interdependent self-construal.

    PubMed

    Morry, Marian M; Hall, Ashley; Mann, Simmi; Kito, Mie

    2014-01-01

    A four-wave longitudinal study examined how relational-interdependent self-construal (RISC) or the tendency to think of one's self in terms of close relationships, was related to cognitions and behaviors within friendships. In same-sex friendships, in both concurrent and prospective analyses, own RISC was associated with perceived friend's RISC, own relationship supportive behaviors, and own relationship quality. Perceived friend's RISC predicted perceived friend's relationship supportive behaviors. Own behaviors predicted fulfillment of own friendship functions, which predicted own relationship quality. In prospective analyses, behaviors mediated the RISC-friendship function relation, and behaviors and friendship functions both mediated the RISC-relationship quality relation. However, the influence of perceived friend's RISC on subsequent variables was through its association with perceived friend's behavior, which was associated with own friendship functions concurrently.

  7. Associations between Perceived HIV Stigma and Quality of Life at the Dyadic Lvel: The Actor-Partner Interdependence Model

    PubMed Central

    Liu, Hongjie; Xu, Yongfang; Lin, Xinjin; Shi, Jian; Chen, Shiyi

    2013-01-01

    Background Few studies have investigated the relationship between HIV-related stigma and quality life at the dyadic level. The objective of this study was to examine the actor and partner effects of stigma that was perceived by people living with HIV/AIDS (PLWHAs) and caregivers on quality of life at the dyadic level. Method A survey was conducted among 148 dyads consisting of one PLWHA and one caregiver (296 participants) in Nanning, China. The interdependent relationship between a pair of dyadic members that influences the associations between stigma and quality of life was analyzed, using an innovative dyadic analysis technique: the Actor-Partner Interdependence Model (APIM). Results We found in this dyadic analysis that (1) PLWHAs compared to their caregivers exhibited a higher level of perceived HIV stigma and lower level of quality of life measured in four domains; (2) both PLWHAs' and caregivers' perceived HIV stigma influenced their own quality of life; (3) The quality of life was not substantially influenced by their partners' perceived stigma; and (4) Both actor and partner effects of stigma on quality of life were similar among PLWHAs and their caregivers. Conclusion As HIV stigma and quality of life are complex phenomena rooted in cultures, intervention programs should be carefully planned based on social or cognitive theories and should be culturally adopted. PMID:23383343

  8. Parallel Infrastructure Modeling and Inversion Module for E4D

    SciTech Connect

    2014-10-09

    Electrical resistivity tomography ERT is a method of imaging the electrical conductivity of the subsurface. Electrical conductivity is a useful metric for understanding the subsurface because it is governed by geomechanical and geochemical properties that drive subsurface systems. ERT works by injecting current into the subsurface across a pair of electrodes, and measuring the corresponding electrical potential response across another pair of electrodes. Many such measurements are strategically taken across an array of electrodes to produce an ERT data set. These data are then processed through a computationally demanding process known as inversion to produce an image of the subsurface conductivity structure that gave rise to the measurements. Data can be inverted to provide 2D images, 3D images, or in the case of time-lapse 3D imaging, 4D images. ERT is generally not well suited for environments with buried electrically conductive infrastructure such as pipes, tanks, or well casings, because these features tend to dominate and degrade ERT images. This reduces or eliminates the utility of ERT imaging where it would otherwise be highly useful for, for example, imaging fluid migration from leaking pipes, imaging soil contamination beneath leaking subusurface tanks, and monitoring contaminant migration in locations with dense network of metal cased monitoring wells. The location and dimension of buried metallic infrastructure is often known. If so, then the effects of the infrastructure can be explicitly modeled within the ERT imaging algorithm, and thereby removed from the corresponding ERT image. However,there are a number of obstacles limiting this application. 1) Metallic infrastructure cannot be accurately modeled with standard codes because of the large contrast in conductivity between the metal and host material. 2) Modeling infrastructure in true dimension requires the computational mesh to be highly refined near the metal inclusions, which increases

  9. Dyadic effects of marital satisfaction on coparenting in Chinese families: Based on the actor-partner interdependence model.

    PubMed

    Liu, Chang; Wu, Xin-Chun

    2016-04-18

    Based on the actor-partner interdependence model, this study explored the spillover and crossover effects of marital satisfaction on coparenting in Chinese nuclear and extended families. Spillover and crossover effects refer to the transfer of experiences, affects or behaviors, focusing on the intra-personal and inter-personal transfer of a marital subsystem to a coparenting subsystem. The participants comprised 279 couples with children ranging in age from 3 to 7 years old. The marital satisfaction and extent of coparenting of both the fathers and the mothers was tested to examine the dyadic interaction. Structural equation modeling results revealed significant intra-personal and inter-personal correlations between marital satisfaction and coparenting, indicating spillover and crossover effects in nuclear and extended families, and there were no differences between the two family structures. The results indicated that fathers' marital satisfaction influenced both fathers' and mothers' coparenting practices. © 2016 International Union of Psychological Science.

  10. Game Theoretic Modeling of Security and Interdependency in a Public Cloud

    DTIC Science & Technology

    2014-06-01

    information without up-front or long-term commitment of resources. Moreover, a cloud user can dynamically grow and shrink the resources provisioned to an...up-front or long-term commitment of resources. Moreover, a cloud user can dynamically grow and shrink the resources provisioned to an application on...infrastructure and have easy access to their information without up-front or long-term commitment of resources. Moreover, a cloud user can dynamically grow

  11. Location-Based Critical Infrastructure Interdependency (LBCII)

    DTIC Science & Technology

    2010-04-01

    a shallow 7.3 on the Modified Mercalli Intensity scale (MMI) subduction earthquake in the Strait of Georgia, British Coloumbia (at latitude 49.45...the Vancouver airport. The potential for building damage was assessed across ground acceleration zones . Three categories of building damage were...building damage zones , and by identifying electrical failure as a consequence of an earthquake. It was possible to visualize the other effected

  12. Federated Modelling and Simulation for Critical Infrastructure Protection

    NASA Astrophysics Data System (ADS)

    Rome, Erich; Langeslag, Peter; Usov, Andrij

    Modelling and simulation is an important tool for Critical Infrastructure (CI) dependency analysis, for testing methods for risk reduction, and as well for the evaluation of past failures. Moreover, interaction of such simulations with external threat models, e.g., a river flood model, or economic models enable consequence analysis and thus may assist in what-if decision-making processes. The simulation of complex scenarios involving several different CI sectors requires the usage of heterogeneous federated simulations of CIs. However, common standards for modelling and interoperability of such federated CI simulations are missing. Also, creating the required abstract models from CIs and other data, setting up the individual federate simulators and integrating all subsystems is a time-consuming and complicated task that requires substantial know-how and resources. In this chapter, we outline applications and benefit of federated modelling, simulation and analysis (MS&A) for Critical Infrastructure Protection (CIP). We review the state of the art in federated MS&A for CIP and categorise common approaches and interoperability concepts like central and lateral coupling of simulators. As examples for the latter two concepts, we will present in more detail an interoperability standard from the military domain, HLA, and an approach developed in the DIESIS project. Special emphasis will also be put on describing the problem of synchronising systems with different time models. Also, we will briefly assess the state of transferring MS&A for CIP research results to practical application by comparing the situations in the USA and in Europe.

  13. Cooperation of German Airports in Europe: Comparison of Different Types by Means of an Interdependence-Profile-Model

    NASA Technical Reports Server (NTRS)

    Meincke, Peter A.

    2003-01-01

    The limited growth possibilities in the home markets - not the least of which, based on capacity and expansion problems - force the large airport operators to enter into, via partnerships, cooperations and alliances. The German airports already cooperate among one another in different forms. The purpose of the paper is to examine the structures and possibilities of cooperation among airports in Europe (e.g. Airport Systems, Airport Networks). The experience of German airports with different cooperations and alliances will be also considered. Finally the forms of cooperations among airports are analysed by means of interdependence-profile-models with different features (mutual dependence, coordination volume, complexity, cooperation profit, value, degree of formalization and temporal frame), in order to find out how high the cooperative attachment of cooperation is to be evaluated.

  14. Parental Self-Efficacy and Positive Contributions Regarding Autism Spectrum Condition: An Actor-Partner Interdependence Model.

    PubMed

    García-López, Cristina; Sarriá, Encarnación; Pozo, Pilar

    2016-07-01

    Couples affect each other cognitively, emotionally and behaviorally. The goal of this study is to test the benefits and potential use of the actor-partner interdependence model in examining how parental self-efficacy and positive contributions of fathers and mothers of children with Autism Spectrum Condition influence each other's psychological adaptation. The sample includes 76 Spanish couples who completed validated questionnaires measuring predictors, i.e., self-efficacy and positive contributions, and adaptation outcomes i.e., stress, anxiety, depression and psychological well-being. Multilevel analysis revealed many actor and some partner effects of parental self-efficacy and positive contributions to be important determinants of adaptation above and beyond child and sociodemographic factors, and as such, these effects should be targeted in clinical intervention programs.

  15. Actor Interdependence in Collaborative Telelearning.

    ERIC Educational Resources Information Center

    Wasson, Barbara; Bourdeau, Jacqueline

    This paper presents a model of collaborative telelearning and describes how coordination theory has provided a framework for the analysis of actor (inter)dependencies in this scenario. The model is intended to inform the instructional design of learning scenarios, the technological design of the telelearning environment, and the design of…

  16. Simulating economic effects of disruptions in the telecommunications infrastructure.

    SciTech Connect

    Cox, Roger Gary; Barton, Dianne Catherine; Reinert, Rhonda K.; Eidson, Eric D.; Schoenwald, David Alan

    2004-01-01

    CommAspen is a new agent-based model for simulating the interdependent effects of market decisions and disruptions in the telecommunications infrastructure on other critical infrastructures in the U.S. economy such as banking and finance, and electric power. CommAspen extends and modifies the capabilities of Aspen-EE, an agent-based model previously developed by Sandia National Laboratories to analyze the interdependencies between the electric power system and other critical infrastructures. CommAspen has been tested on a series of scenarios in which the communications network has been disrupted, due to congestion and outages. Analysis of the scenario results indicates that communications networks simulated by the model behave as their counterparts do in the real world. Results also show that the model could be used to analyze the economic impact of communications congestion and outages.

  17. Embracing Complexity: Using Technology to Develop a Life-Long Learning Model for Non-Working Time in the Interdependent Homes for Adults with Autism Spectrum Disorders

    ERIC Educational Resources Information Center

    Chiang, I-Tsun; Chen, Mei-Li

    2011-01-01

    The purpose of this study was to employ complexity theory as a theoretical framework and technology to facilitate the development of a life-long learning model for non-working time in the interdependent homes for adults with Autism Spectrum Disorders (ASD). A "Shining Star Sustainable Action Project" of the ROC Foundation for Autistic…

  18. 3D Geological modelling - towards a European level infrastructure

    NASA Astrophysics Data System (ADS)

    Lee, Kathryn A.; van der Krogt, Rob; Busschers, Freek S.

    2013-04-01

    The joint European Geological Surveys are preparing the ground for a "European Geological Data Infrastructure" (EGDI), under the framework of the FP7-project EGDI-Scope. This scoping study, started in June 2012, for a pan-European e-Infrastructure is based on the successes of earlier joint projects including 'OneGeology-Europe' and aims to provide the backbone for serving interoperable, geological data currently held by European Geological Surveys. Also data from past, ongoing and future European projects will be incorporated. The scope will include an investigation of the functional and technical requirements for serving 3D geological models and will look to research the potential for providing a framework to integrate models at different scales, and form a structure for enabling the development of new and innovative model delivery mechanisms. The EGDI-scope project encourages pan-European inter-disciplinary collaboration between all European Geological Surveys. It aims to enhance emerging web based technologies that will facilitate the delivery of geological data to user communities involved in European policy making and international industry, but also to geoscientific research communities and the general public. Therefore, stakeholder input and communication is imperative to the success, as is the collaboration with all the Geological Surveys of Europe. The most important functional and technical requirements for delivery of such information at pan-European level will be derived from exchanges with relevant European stakeholder representatives and providers of geological data. For handling and delivering 3D geological model data the project will need to address a number of strategic issues: • Which are the most important issues and queries for the relevant stakeholders, requiring 3D geological models? How can this be translated to functional requirements for development and design of an integrated European application? • How to handle the very large

  19. Do topological models provide good information about electricity infrastructure vulnerability?

    PubMed

    Hines, Paul; Cotilla-Sanchez, Eduardo; Blumsack, Seth

    2010-09-01

    In order to identify the extent to which results from topological graph models are useful for modeling vulnerability in electricity infrastructure, we measure the susceptibility of power networks to random failures and directed attacks using three measures of vulnerability: characteristic path lengths, connectivity loss, and blackout sizes. The first two are purely topological metrics. The blackout size calculation results from a model of cascading failure in power networks. Testing the response of 40 areas within the Eastern U.S. power grid and a standard IEEE test case to a variety of attack/failure vectors indicates that directed attacks result in larger failures using all three vulnerability measures, but the attack-vectors that appear to cause the most damage depend on the measure chosen. While the topological metrics and the power grid model show some similar trends, the vulnerability metrics for individual simulations show only a mild correlation. We conclude that evaluating vulnerability in power networks using purely topological metrics can be misleading.

  20. A Virtual Environment for Resilient Infrastructure Modeling and Design

    DTIC Science & Technology

    2015-09-01

    provide essential support that inspires me each and every day. Therefore, I dedicate this and the rest of my life to you and our dreams . To my boys...systems with an artificial test and a known, but non-obvious solution. 25 Table 2. Electric generator g118 has capacity of 0 instead of 400 MWh...still solvable in the way to avoid an additional penalty in the interdependent FM via the optimal routing in the separate EM, which was artificially

  1. A Strategic Assessment of Infrastructure Asset-Management Modeling

    DTIC Science & Technology

    2013-12-01

    of creat- ing a decision-support system for agencies with substantial, assorted infrastructure inventories and limited resources. Results: Logical...support the war-fighting mission.40 Ulti- mately , the Air Force reduces the stock of infrastructure assets as well as the maintenance and repair budget

  2. A model to forecast data centre infrastructure costs.

    NASA Astrophysics Data System (ADS)

    Vernet, R.

    2015-12-01

    The computing needs in the HEP community are increasing steadily, but the current funding situation in many countries is tight. As a consequence experiments, data centres, and funding agencies have to rationalize resource usage and expenditures. CC-IN2P3 (Lyon, France) provides computing resources to many experiments including LHC, and is a major partner for astroparticle projects like LSST, CTA or Euclid. The financial cost to accommodate all these experiments is substantial and has to be planned well in advance for funding and strategic reasons. In that perspective, leveraging infrastructure expenses, electric power cost and hardware performance observed in our site over the last years, we have built a model that integrates these data and provides estimates of the investments that would be required to cater to the experiments for the mid-term future. We present how our model is built and the expenditure forecast it produces, taking into account the experiment roadmaps. We also examine the resource growth predicted by our model over the next years assuming a flat-budget scenario.

  3. The role of intergenerational similarity and parenting in adolescent self-criticism: An actor-partner interdependence model.

    PubMed

    Bleys, Dries; Soenens, Bart; Boone, Liesbet; Claes, Stephan; Vliegen, Nicole; Luyten, Patrick

    2016-06-01

    Research investigating the development of adolescent self-criticism has typically focused on the role of either parental self-criticism or parenting. This study used an actor-partner interdependence model to examine an integrated theoretical model in which achievement-oriented psychological control has an intervening role in the relation between parental and adolescent self-criticism. Additionally, the relative contribution of both parents and the moderating role of adolescent gender were examined. Participants were 284 adolescents (M = 14 years, range = 12-16 years) and their parents (M = 46 years, range = 32-63 years). Results showed that only maternal self-criticism was directly related to adolescent self-criticism. However, both parents' achievement-oriented psychological control had an intervening role in the relation between parent and adolescent self-criticism in both boys and girls. Moreover, one parent's achievement-oriented psychological control was not predicted by the self-criticism of the other parent. Copyright © 2016 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

  4. Client and therapist therapeutic alliance, session evaluation, and client reliable change: a moderated actor-partner interdependence model.

    PubMed

    Kivlighan, Dennis M; Marmarosh, Cheri L; Hilsenroth, Mark J

    2014-01-01

    Actor-partner interdependence modeling (APIM; Kashy & Kenny, 2000) was used to study the early therapeutic alliance in 74 clients being treated by 29 therapists to explore the relationship between the alliance and treatment progress, while prioritizing the dyadic nature of the alliance. The APIM examines collaboration/influence by modeling the impact of one dyad member's alliance ratings on the other member's session impact rating (partner effects). In terms of the alliance, the results revealed significant client-actor effects for client ratings of session depth and positivity as well as significant therapist-actor effects for therapist ratings of session smoothness and positivity. For client-rated alliance, there were also significant client-partner effects for therapist ratings of session depth. For clients who made a reliable change in treatment, an increase in client-reported alliance was related to therapist reporting more arousal in the 3rd session. For clients who did not make a reliable change in treatment, client-reported alliance was not related to therapist arousal. Limitations of the study and implications of the findings are discussed. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

  5. INTERdependence Curriculum Aid.

    ERIC Educational Resources Information Center

    World Affairs Council of Philadelphia, PA.

    Stressing global interdependence, this guide suggests resources, materials, and activities related to major world problems. Global interdependence is interpreted as connections between and among nations in areas of war and peace, human rights, environmental use, economics, and international law. The major objective is to help students understand…

  6. Globalization, Interdependence and Education

    ERIC Educational Resources Information Center

    Neubauer, Deane

    2007-01-01

    Contemporary globalization is marked by rapidly and dramatically increasing interdependence, which operates both within and among countries. Increasing global interdependence has profound influence on education at all levels, such as how to deal with a world with more permeable boundaries in which people are on the move more frequently (migration)…

  7. Globalization, Interdependence and Education

    ERIC Educational Resources Information Center

    Neubauer, Deane

    2007-01-01

    Contemporary globalization is marked by rapidly and dramatically increasing interdependence, which operates both within and among countries. Increasing global interdependence has profound influence on education at all levels, such as how to deal with a world with more permeable boundaries in which people are on the move more frequently (migration)…

  8. Remarriage Beliefs as Predictors of Marital Quality and Positive Interaction in Stepcouples: An Actor-Partner Interdependence Model.

    PubMed

    Garneau, Chelsea L; Higginbotham, Brian; Adler-Baeder, Francesca

    2015-12-01

    Using an Actor-Partner Interdependence Model, we examined remarriage beliefs as predictors of marital quality and positive interaction in a sample of 179 stepcouples. Three beliefs were measured using subscales from the Remarriage Belief Inventory (RMBI) including success is slim, children are the priority, and finances should be pooled. Several significant actor and partner effects were found for both wives' and husbands' beliefs. Wives' marital quality was positively associated with their own beliefs that finances should be pooled and negatively associated with their own beliefs that success is slim. Wives' reports of their own and spouses' positive interaction were both positively associated with their beliefs that finances should be pooled. Their reports of spouses' positive interaction were also negatively associated with husbands' beliefs that success is slim. Husbands' marital quality was positively associated with wives' beliefs that children are the priority, positively associated with their own beliefs that finances should be pooled, and negatively with success is slim. Positive interaction for husbands was positively associated with wives' beliefs that finances should be pooled and negatively associated with their own beliefs that success is slim. Finally, husbands' reports of positive interaction for their spouses were positively associated with wives' beliefs that finances should be pooled. Implications for future research utilizing dyadic data analysis with stepcouples are addressed.

  9. Working alliance, real relationship, session quality, and client improvement in psychodynamic psychotherapy: A longitudinal actor partner interdependence model.

    PubMed

    Kivlighan, Dennis M; Hill, Clara E; Gelso, Charles J; Baumann, Ellen

    2016-03-01

    We used the Actor Partner Interdependence Model (APIM; Kashy & Kenny, 2000) to examine the dyadic associations of 74 clients and 23 therapists in their evaluations of working alliance, real relationship, session quality, and client improvement over time in ongoing psychodynamic or interpersonal psychotherapy. There were significant actor effects for both therapists and clients, with the participant's own ratings of working alliance and real relationship independently predicting their own evaluations of session quality. There were significant client partner effects, with clients' working alliance and real relationship independently predicting their therapists' evaluations of session quality. The client partner real relationship effect was stronger in later sessions than in earlier sessions. Therapists' real relationship ratings (partner effect) were a stronger predictor of clients' session quality ratings in later sessions than in earlier sessions. Therapists' working alliance ratings (partner effect) were a stronger predictor of clients' session quality ratings when clients made greater improvement than when clients made lesser improvement. For clients' session outcome ratings, there were complex three-way interactions, such that both Client real relationship and working alliance interacted with client improvement and time in treatment to predict clients' session quality. These findings strongly suggest both individual and partner effects when clients and therapists evaluate psychotherapy process and outcome. Implications for research and practice are discussed.

  10. Cascade of failures in interdependent networks with different average degree

    NASA Astrophysics Data System (ADS)

    Cheng, Zunshui; Cao, Jinde; Hayat, Tasawar

    2014-12-01

    Most of modern systems are coupled by two sub-networks and therefore should be modeled as interdependent networks. The study towards robustness of interdependent networks becomes interesting and significant. In this paper, mainly by numerical simulations, the robustness of interdependent Erdös-Rényi (ER) networks and interdependent scale-Free (SF) networks coupled by two sub-networks with different average degree are investigated. First, we study the robustness of interdependent networks under random attack. Second, we study the robustness of interdependent networks under targeted attack on high or low degree nodes, and find that interdependent networks with different average degree are significantly different from those interdependent networks with equal average degree.

  11. Beyond Dyadic Interdependence: Actor-Oriented Models for Co-Evolving Social Networks and Individual Behaviors

    ERIC Educational Resources Information Center

    Burk, William J.; Steglich, Christian E. G.; Snijders, Tom A. B.

    2007-01-01

    Actor-oriented models are described as a longitudinal strategy for examining the co-evolution of social networks and individual behaviors. We argue that these models provide advantages over conventional approaches due to their ability to account for inherent dependencies between individuals embedded in a social network (i.e., reciprocity,…

  12. Beyond Dyadic Interdependence: Actor-Oriented Models for Co-Evolving Social Networks and Individual Behaviors

    ERIC Educational Resources Information Center

    Burk, William J.; Steglich, Christian E. G.; Snijders, Tom A. B.

    2007-01-01

    Actor-oriented models are described as a longitudinal strategy for examining the co-evolution of social networks and individual behaviors. We argue that these models provide advantages over conventional approaches due to their ability to account for inherent dependencies between individuals embedded in a social network (i.e., reciprocity,…

  13. Interdependency and hierarchy of exact and approximate epidemic models on networks.

    PubMed

    Taylor, Timothy J; Kiss, Istvan Z

    2014-07-01

    Over the years numerous models of S I S (susceptible --> infected --> susceptible) disease dynamics unfolding on networks have been proposed. Here, we discuss the links between many of these models and how they can be viewed as more general motif-based models. We illustrate how the different models can be derived from one another and, where this is not possible, discuss extensions to established models that enables this derivation. We also derive a general result for the exact differential equations for the expected number of an arbitrary motif directly from the Kolmogorov/master equations and conclude with a comparison of the performance of the different closed systems of equations on networks of varying structure.

  14. Contribution of marital conflict to marital quality in short and long-term marriages: An actor-partner interdependence model

    PubMed Central

    Ahmadi, Khodabakhsh; Rezazade, Majid; Saadat, Hassan; Kimiaei, Seyed Ali; Zade, Nima Hoseyn

    2015-01-01

    Aims: In the field of family research, previous studies have made great strides toward understanding the relationship between marital conflict and quality. However, they have only studied couples in short-term marriages. Therefore, much remains to be unraveled with regard to long-term marriages. We aimed investigate the comparative contribution of aspects of marital conflict to marital quality in short-and long-term marriages in Iranian families. Materials and Methods: Using random clustered sampling, 400 dyads in intact first marriages were surveyed across eight provinces of Iran. Complete surveys for both husbands and wives were returned for 162 households (couple's response rate: 40.5%). Survey measures included demographics questionnaire, Barati and Sanai's Marital Conflict Questionnaire and Blum and Mehrabian's Comprehensive Marital Satisfaction Scale. Structural equation modeling was used to test the actor-partner interdependence model of marital conflict-marital quality. Results: Generalized additive models were incorporated to define what constitutes short-and long-term marriages. Based on the models regressed, duration ≤ 10 years was defined as short-term, whereas duration ≥ 25 years was labeled long-term. In short-term marriages (n = 44), decreased sexual relations, increased daily hassles and sidedness in relations with parents were negatively associated with marital quality in both actor and actor-to-partner paths. In long-term married couples (n = 46), only increased daily hassles (P < 0.001) and disagreement over financial affairs (P = 0.005) contributed to actor paths and only sidedness in relationships with parents showed significant negative association to marital quality in actor-to-partner paths. Conclusions: Different themes of conflict contribute to the diminished level of marital quality in early and late stages of the marriage. Conflicts over sex, relationship with extended family and daily hassles are emphasized in the early years of

  15. Contribution of marital conflict to marital quality in short and long-term marriages: An actor-partner interdependence model.

    PubMed

    Ahmadi, Khodabakhsh; Rezazade, Majid; Saadat, Hassan; Kimiaei, Seyed Ali; Zade, Nima Hoseyn

    2015-01-01

    In the field of family research, previous studies have made great strides toward understanding the relationship between marital conflict and quality. However, they have only studied couples in short-term marriages. Therefore, much remains to be unraveled with regard to long-term marriages. We aimed investigate the comparative contribution of aspects of marital conflict to marital quality in short-and long-term marriages in Iranian families. Using random clustered sampling, 400 dyads in intact first marriages were surveyed across eight provinces of Iran. Complete surveys for both husbands and wives were returned for 162 households (couple's response rate: 40.5%). Survey measures included demographics questionnaire, Barati and Sanai's Marital Conflict Questionnaire and Blum and Mehrabian's Comprehensive Marital Satisfaction Scale. Structural equation modeling was used to test the actor-partner interdependence model of marital conflict-marital quality. Generalized additive models were incorporated to define what constitutes short-and long-term marriages. Based on the models regressed, duration ≤ 10 years was defined as short-term, whereas duration ≥ 25 years was labeled long-term. In short-term marriages (n = 44), decreased sexual relations, increased daily hassles and sidedness in relations with parents were negatively associated with marital quality in both actor and actor-to-partner paths. In long-term married couples (n = 46), only increased daily hassles (P < 0.001) and disagreement over financial affairs (P = 0.005) contributed to actor paths and only sidedness in relationships with parents showed significant negative association to marital quality in actor-to-partner paths. Different themes of conflict contribute to the diminished level of marital quality in early and late stages of the marriage. Conflicts over sex, relationship with extended family and daily hassles are emphasized in the early years of marriage, while in later years; dispute over money and

  16. The virtual machine (VM) scaler: an infrastructure manager supporting environmental modeling on IaaS clouds

    USDA-ARS?s Scientific Manuscript database

    Infrastructure-as-a-service (IaaS) clouds provide a new medium for deployment of environmental modeling applications. Harnessing advancements in virtualization, IaaS clouds can provide dynamic scalable infrastructure to better support scientific modeling computational demands. Providing scientific m...

  17. Leveraging Structural Characteristics of Interdependent Networks to Model Non-linear Cascading Characteristics

    DTIC Science & Technology

    2015-06-29

    populate the state and action space for the decision theoretic model. The text data is extracted using python scripting and analyzed using Latent...and image extraction from DAESs reports using open source software: XPDF and ImageMagick. Python scripting is used to automate Step1 and 2 for batch...Topic Models (Blei, 2012), a machine learning algorithm to uncover the patterns of text in the DAES report. For example, the topics uncovered for

  18. INTERDEPENDENCIES OF MULTI-POLLUTANT CONTROL SIMULATIONS IN AN AIR QUALITY MODEL

    EPA Science Inventory

    In this work, we use the Community Multi-Scale Air Quality (CMAQ) modeling system to examine the effect of several control strategies on simultaneous concentrations of ozone, PM2.5, and three important HAPs: formaldehyde, acetaldehyde and benzene.

  19. INTERDEPENDENCIES OF MULTI-POLLUTANT CONTROL SIMULATIONS IN AN AIR QUALITY MODEL

    EPA Science Inventory

    In this work, we use the Community Multi-Scale Air Quality (CMAQ) modeling system to examine the effect of several control strategies on simultaneous concentrations of ozone, PM2.5, and three important HAPs: formaldehyde, acetaldehyde and benzene.

  20. A mathematical model to explore the interdependence between the serotonin and orexin/hypocretin systems.

    PubMed

    Joshi, Alok; Wong-Lin, KongFatt; McGinnity, T Martin; Prasad, Girijesh

    2011-01-01

    Among their multitude of physiological and behavioral effects, the neurochemicals serotonin (5-HT) and orexin (Ox) have been closely linked to major depressive disorders (MDD) and sleep alterations. The dorsal raphe nucleus (DRN) and the lateral hypothalamus area (LHA) are brain regions that are sources of 5-HT and Ox, and there is evidence that suggests a reciprocal interaction between them. This lends support to the hypothesis of a close relationship between MDD and sleep disorders. Based on various experimental data, and appropriate assumptions, we construct a mathematical model of the coupled DRN-LHA neural circuit. Our model relates the dynamics of four important variables that can be experimentally measured: (i) the firing rate of 5-HT-containing neurons in DRN, (ii) the firing rate of Ox-containing neurons in the LHA, (iii) 5-HT concentration level in LHA, and (iv) Ox concentration level in DRN. Simulations show that our model supports the co-existence of baseline activities and concentration levels as observed in various separate experiments. It also allows circuit-level exploration of various parameters not yet identified experimentally, e.g. the rise and decay of Ox concentration levels due to Ox neural activity, and the exact dependence of Ox neural activity on 5-HT level. Finally we have made some model predictions regarding the effects of the 5-HT antagonist on the circuit. Our model, which can be subjected to verification and refinement as new experimental data accumulates, provides unified quantitative relationships and predictions between two important connected brain regions strongly tied to MDD and sleep disorders.

  1. Using the interdependence model to understand spousal influence on colorectal cancer screening intentions: a structural equation model.

    PubMed

    Manne, Sharon; Kashy, Deborah; Weinberg, David S; Boscarino, Joseph A; Bowen, Deborah J

    2012-06-01

    Although it is widely thought that the marital relationship plays a role in individuals' decisions to have colorectal cancer screening, few studies have evaluated partner influences. We evaluated the role of marital relationship factors such as a relational perspective on the frequency of spouse discussions about screening and screening intentions. Individual-level factors were also evaluated. One hundred sixty-eight couples with both members non-adherent with screening completed measures of perceived risk, screening benefits and barriers, marital quality, relational perspective, discussion frequency, and screening intentions. Couples' attitudes about screening were interdependent and one partner's attitudes and behavior were associated with the other partner's intention. There was also evidence of joint effects in that intentions were associated with both one's partner's attitudes and one's own attitudes. Colorectal screening intentions are associated with both partners' attitudes as well as whether or not couples have discussed screening with one another.

  2. Leveraging Structural Characteristics of Interdependent Networks to Model Non-Linear Cascading Risks

    DTIC Science & Technology

    2013-04-01

    Dilemma: Analyzing the Pervasive Role That Social Dilemmas Play in Undermining Acquisition Success Andrew P. Moore , William E. Novak, Julie B. Cohen...Equilibrium. In our previous work (Cheng, Raja, & Lesser, 2012) we make the DEC-POMDP problem for a tornado tracking tractable by approximating the...modeling techniques we have developed for another complex multiagent domain ( tornado tracking) to the MDAP domain. Conclusions and Future Work Our multi

  3. Interdependence of Model Systematic Biases in the Tropical Atlantic and the Tropical Pacific

    NASA Astrophysics Data System (ADS)

    Demissie, Teferi; Shonk, Jon; Toniazzo, Thomas; Woolnough, Steve Steve; Guilyardi, Eric

    2017-04-01

    The tropical climatology represented in simulations with General Circulation Models (GCMs) is affected by significant systematic biases despite the huge investments in model devlopment over the past 20 years. In this study, coupled seasonal hindcasts performed with EC-Earth and ECMWF System 4 are analyzed to understand the development of systematic biases in the tropical Atlantic and Pacific oceans. These models use similar atmosphere and ocean components (IFS and NEMO, respectively). We focus on hindcasts initialized in February and May. We discuss possible mechanisms for the evolution and origin of rapidly developing systematic biases over the tropical Atlantic during boreal spring. In addition, we look for evidence of the interrelation of systematic biases in the Atlantic and Pacific, and investigate if the errors in one ocean basin affect those in the other. We perform an upper-atmosphere wave analysis by Fourier filtering for certain ranges of temporal frequencies and zonal wavenumbers. Our results identicate common systematic biases in EC-Earth and System 4 purely attributable to the atmosphere component. Biases develop in the Atlantic basin independently of external influences, while a possible effect of such biases on the eastern Pacific is found.

  4. Assessing the risk posed by natural hazards to infrastructures

    NASA Astrophysics Data System (ADS)

    Eidsvig, Unni; Kristensen, Krister; Vidar Vangelsten, Bjørn

    2015-04-01

    The modern society is increasingly dependent on infrastructures to maintain its function, and disruption in one of the infrastructure systems may have severe consequences. The Norwegian municipalities have, according to legislation, a duty to carry out a risk and vulnerability analysis and plan and prepare for emergencies in a short- and long term perspective. Vulnerability analysis of the infrastructures and their interdependencies is an important part of this analysis. This paper proposes a model for assessing the risk posed by natural hazards to infrastructures. The model prescribes a three level analysis with increasing level of detail, moving from qualitative to quantitative analysis. This paper focuses on the second level, which consists of a semi-quantitative analysis. The purpose of this analysis is to perform a screening of the scenarios of natural hazards threatening the infrastructures identified in the level 1 analysis and investigate the need for further analyses, i.e. level 3 quantitative analyses. The proposed level 2 analysis considers the frequency of the natural hazard, different aspects of vulnerability including the physical vulnerability of the infrastructure itself and the societal dependency on the infrastructure. An indicator-based approach is applied, ranking the indicators on a relative scale. The proposed indicators characterize the robustness of the infrastructure, the importance of the infrastructure as well as interdependencies between society and infrastructure affecting the potential for cascading effects. Each indicator is ranked on a 1-5 scale based on pre-defined ranking criteria. The aggregated risk estimate is a combination of the semi-quantitative vulnerability indicators, as well as quantitative estimates of the frequency of the natural hazard and the number of users of the infrastructure. Case studies for two Norwegian municipalities are presented, where risk to primary road, water supply and power network threatened by storm

  5. Posttraumatic growth in breast cancer survivors and their husbands based on the actor-partner interdependence model.

    PubMed

    Lee, MyoSuk; Kim, Kyunghee; Lim, Changwon; Kim, Ji-Su

    2016-12-10

    This study aimed to verify actor and partner effects, by examining the effects of self-esteem, relationship quality, and subjective distress on posttraumatic growth in breast cancer survivors and their spouses, and involved a structural analysis of descriptive cause-and-effect relationships to verify the suitability of the actor-partner interdependence model. A structured questionnaire was used to collect data from breast cancer survivors and their spouses at outpatient centers, wards, and patient meetings in 4 general hospitals in Seoul between April 13 and September 20, 2015. Data for 336 individuals (168 couples) were analyzed. The suitability of the hypothetical model was assessed via SPSS Win 21.0 and AMOS 21.0. Actor and partner effects on posttraumatic growth in breast cancer survivors and their spouses were examined. Self-esteem, relationship quality, and subjective distress exerted significant actor effects, and subjective distress exerted a significant partner effect on posttraumatic growth in breast cancer survivors. Relationship quality and support exerted significant actor effects, and self-esteem, relationship quality, and subjective distress exerted significant partner effects on posttraumatic growth in spouses. Posttraumatic growth in breast cancer survivors was influenced by not only relationship quality and spouses' self- esteem but also subjective distress; therefore, solidarity between breast cancer survivors and their spouses was important and should be maintained to provide healthy relationship support and enhance posttraumatic growth. Further, health care providers should include spouses in health-related education and involve them in interventions and family support programs for couples. Copyright © 2016 John Wiley & Sons, Ltd.

  6. State of the art in risk analysis of workforce criticality influencing disaster preparedness for interdependent systems.

    PubMed

    Santos, Joost R; Herrera, Lucia Castro; Yu, Krista Danielle S; Pagsuyoin, Sheree Ann T; Tan, Raymond R

    2014-06-01

    The objective of this article is to discuss a needed paradigm shift in disaster risk analysis to emphasize the role of the workforce in managing the recovery of interdependent infrastructure and economic systems. Much of the work that has been done on disaster risk analysis has focused primarily on preparedness and recovery strategies for disrupted infrastructure systems. The reliability of systems such as transportation, electric power, and telecommunications is crucial in sustaining business processes, supply chains, and regional livelihoods, as well as ensuring the availability of vital services in the aftermath of disasters. There has been a growing momentum in recognizing workforce criticality in the aftermath of disasters; nevertheless, significant gaps still remain in modeling, assessing, and managing workforce disruptions and their associated ripple effects to other interdependent systems. The workforce plays a pivotal role in ensuring that a disrupted region continues to function and subsequently recover from the adverse effects of disasters. With this in mind, this article presents a review of recent studies that have underscored the criticality of workforce sectors in formulating synergistic preparedness and recovery policies for interdependent infrastructure and regional economic systems. © 2014 Society for Risk Analysis.

  7. Inter-dependent tissue growth and Turing patterning in a model for long bone development

    NASA Astrophysics Data System (ADS)

    Tanaka, Simon; Iber, Dagmar

    2013-10-01

    The development of long bones requires a sophisticated spatial organization of cellular signalling, proliferation, and differentiation programs. How such spatial organization emerges on the growing long bone domain is still unresolved. Based on the reported biochemical interactions we developed a regulatory model for the core signalling factors IHH, PTCH1, and PTHrP and included two cell types, proliferating/resting chondrocytes and (pre-)hypertrophic chondrocytes. We show that the reported IHH-PTCH1 interaction gives rise to a Schnakenberg-type Turing kinetics, and that inclusion of PTHrP is important to achieve robust patterning when coupling patterning and tissue dynamics. The model reproduces relevant spatiotemporal gene expression patterns, as well as a number of relevant mutant phenotypes. In summary, we propose that a ligand-receptor based Turing mechanism may control the emergence of patterns during long bone development, with PTHrP as an important mediator to confer patterning robustness when the sensitive Turing system is coupled to the dynamics of a growing and differentiating tissue. We have previously shown that ligand-receptor based Turing mechanisms can also result from BMP-receptor, SHH-receptor, and GDNF-receptor interactions, and that these reproduce the wildtype and mutant patterns during digit formation in limbs and branching morphogenesis in lung and kidneys. Receptor-ligand interactions may thus constitute a general mechanism to generate Turing patterns in nature.

  8. A regional interdependence model of musculoskeletal dysfunction: research, mechanisms, and clinical implications

    PubMed Central

    Sueki, Derrick G; Cleland, Joshua A; Wainner, Robert S

    2013-01-01

    The term ‘regional interdependence’ or RI has recently been introduced into the vernacular of physical therapy and rehabilitation literature as a clinical model of musculoskeletal assessment and intervention. The underlying premise of this model is that seemingly unrelated impairments in remote anatomical regions of the body may contribute to and be associated with a patient’s primary report of symptoms. The clinical implication of this premise is that interventions directed at one region of the body will often have effects at remote and seeming unrelated areas. The formalized concept of RI is relatively new and was originally derived in an inductive manner from a variety of earlier publications and clinical observations. However, recent literature has provided additional support to the concept. The primary purpose of this article will be to further refine the operational definition for the concept of RI, examine supporting literature, discuss possible clinically relevant mechanisms, and conclude with a discussion of the implications of these findings on clinical practice and research. PMID:24421619

  9. A model for the emergence of cooperation, interdependence, and structure in evolving networks

    PubMed Central

    Jain, Sanjay; Krishna, Sandeep

    2001-01-01

    Evolution produces complex and structured networks of interacting components in chemical, biological, and social systems. We describe a simple mathematical model for the evolution of an idealized chemical system to study how a network of cooperative molecular species arises and evolves to become more complex and structured. The network is modeled by a directed weighted graph whose positive and negative links represent “catalytic” and “inhibitory” interactions among the molecular species, and which evolves as the least populated species (typically those that go extinct) are replaced by new ones. A small autocatalytic set, appearing by chance, provides the seed for the spontaneous growth of connectivity and cooperation in the graph. A highly structured chemical organization arises inevitably as the autocatalytic set enlarges and percolates through the network in a short analytically determined timescale. This self organization does not require the presence of self-replicating species. The network also exhibits catastrophes over long timescales triggered by the chance elimination of “keystone” species, followed by recoveries. PMID:11149953

  10. Modeling the near-term risk of climate uncertainty : interdependencies among the U.S. states.

    SciTech Connect

    Lowry, Thomas Stephen; Tidwell, Vincent Carroll; Backus, George A.; Warren, Drake E.

    2010-12-01

    Decisions made to address climate change must start with an understanding of the risk of an uncertain future to human systems, which in turn means understanding both the consequence as well as the probability of a climate induced impact occurring. In other words, addressing climate change is an exercise in risk-informed policy making, which implies that there is no single correct answer or even a way to be certain about a single answer; the uncertainty in future climate conditions will always be present and must be taken as a working-condition for decision making. In order to better understand the implications of uncertainty on risk and to provide a near-term rationale for policy interventions, this study estimates the impacts from responses to climate change on U.S. state- and national-level economic activity by employing a risk-assessment methodology for evaluating uncertain future climatic conditions. Using the results from the Intergovernmental Panel on Climate Change's (IPCC) Fourth Assessment Report (AR4) as a proxy for climate uncertainty, changes in hydrology over the next 40 years were mapped and then modeled to determine the physical consequences on economic activity and to perform a detailed 70-industry analysis of the economic impacts among the interacting lower-48 states. The analysis determines industry-level effects, employment impacts at the state level, interstate population migration, consequences to personal income, and ramifications for the U.S. trade balance. The conclusions show that the average risk of damage to the U.S. economy from climate change is on the order of $1 trillion over the next 40 years, with losses in employment equivalent to nearly 7 million full-time jobs. Further analysis shows that an increase in uncertainty raises this risk. This paper will present the methodology behind the approach, a summary of the underlying models, as well as the path forward for improving the approach.

  11. Robustness of Interdependent Networks

    NASA Astrophysics Data System (ADS)

    Havlin, Shlomo

    2011-03-01

    In interdependent networks, when nodes in one network fail, they cause dependent nodes in other networks to also fail. This may happen recursively and can lead to a cascade of failures. In fact, a failure of a very small fraction of nodes in one network may lead to the complete fragmentation of a system of many interdependent networks. We will present a framework for understanding the robustness of interacting networks subject to such cascading failures and provide a basic analytic approach that may be useful in future studies. We present exact analytical solutions for the critical fraction of nodes that upon removal will lead to a failure cascade and to a complete fragmentation of two interdependent networks in a first order transition. Surprisingly, analyzing complex systems as a set of interdependent networks may alter a basic assumption that network theory has relied on: while for a single network a broader degree distribution of the network nodes results in the network being more robust to random failures, for interdependent networks, the broader the distribution is, the more vulnerable the networks become to random failure. We also show that reducing the coupling between the networks leads to a change from a first order percolation phase transition to a second order percolation transition at a critical point. These findings pose a significant challenge to the future design of robust networks that need to consider the unique properties of interdependent networks.

  12. Toolkit of Available EPA Green Infrastructure Modeling Software. National Stormwater Calculator

    EPA Science Inventory

    This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementat...

  13. Toolkit of Available EPA Green Infrastructure Modeling Software. National Stormwater Calculator

    EPA Science Inventory

    This webinar will present a toolkit consisting of five EPA green infrastructure models and tools, along with communication material. This toolkit can be used as a teaching and quick reference resource for use by planners and developers when making green infrastructure implementat...

  14. A green infrastructure experimental site for developing and evaluating models

    EPA Science Inventory

    The Ecosystems Research Division (ERD) of the U.S. EPA’s National Exposure Research Laboratory (NERL) in Athens, GA has a 14-acre urban watershed which has become an experimental research site for green infrastructure studies. About half of the watershed is covered by pervious la...

  15. A green infrastructure experimental site for developing and evaluating models

    EPA Science Inventory

    The Ecosystems Research Division (ERD) of the U.S. EPA’s National Exposure Research Laboratory (NERL) in Athens, GA has a 14-acre urban watershed which has become an experimental research site for green infrastructure studies. About half of the watershed is covered by pervious la...

  16. Defense of Cyber Infrastructures Against Cyber-Physical Attacks Using Game-Theoretic Models

    SciTech Connect

    Rao, Nageswara S. V.; Poole, Stephen W.; Ma, Chris Y. T.; He, Fei; Zhuang, Jun; Yau, David K. Y.

    2015-04-06

    The operation of cyber infrastructures relies on both cyber and physical components, which are subject to incidental and intentional degradations of different kinds. Within the context of network and computing infrastructures, we study the strategic interactions between an attacker and a defender using game-theoretic models that take into account both cyber and physical components. The attacker and defender optimize their individual utilities expressed as sums of cost and system terms. First, we consider a Boolean attack-defense model, wherein the cyber and physical sub-infrastructures may be attacked and reinforced as individual units. Second, we consider a component attack-defense model wherein their components may be attacked and defended, and the infrastructure requires minimum numbers of both to function. We show that the Nash equilibrium under uniform costs in both cases is computable in polynomial time, and it provides high-level deterministic conditions for the infrastructure survival. When probabilities of successful attack and defense, and of incidental failures are incorporated into the models, the results favor the attacker but otherwise remain qualitatively similar. This approach has been motivated and validated by our experiences with UltraScience Net infrastructure, which was built to support high-performance network experiments. In conclusion, the analytical results, however, are more general, and we apply them to simplified models of cloud and high-performance computing infrastructures.

  17. Defense of Cyber Infrastructures Against Cyber-Physical Attacks Using Game-Theoretic Models

    DOE PAGES

    Rao, Nageswara S. V.; Poole, Stephen W.; Ma, Chris Y. T.; ...

    2015-04-06

    The operation of cyber infrastructures relies on both cyber and physical components, which are subject to incidental and intentional degradations of different kinds. Within the context of network and computing infrastructures, we study the strategic interactions between an attacker and a defender using game-theoretic models that take into account both cyber and physical components. The attacker and defender optimize their individual utilities expressed as sums of cost and system terms. First, we consider a Boolean attack-defense model, wherein the cyber and physical sub-infrastructures may be attacked and reinforced as individual units. Second, we consider a component attack-defense model wherein theirmore » components may be attacked and defended, and the infrastructure requires minimum numbers of both to function. We show that the Nash equilibrium under uniform costs in both cases is computable in polynomial time, and it provides high-level deterministic conditions for the infrastructure survival. When probabilities of successful attack and defense, and of incidental failures are incorporated into the models, the results favor the attacker but otherwise remain qualitatively similar. This approach has been motivated and validated by our experiences with UltraScience Net infrastructure, which was built to support high-performance network experiments. In conclusion, the analytical results, however, are more general, and we apply them to simplified models of cloud and high-performance computing infrastructures.« less

  18. New security infrastructure model for distributed computing systems

    NASA Astrophysics Data System (ADS)

    Dubenskaya, J.; Kryukov, A.; Demichev, A.; Prikhodko, N.

    2016-02-01

    At the paper we propose a new approach to setting up a user-friendly and yet secure authentication and authorization procedure in a distributed computing system. The security concept of the most heterogeneous distributed computing systems is based on the public key infrastructure along with proxy certificates which are used for rights delegation. In practice a contradiction between the limited lifetime of the proxy certificates and the unpredictable time of the request processing is a big issue for the end users of the system. We propose to use unlimited in time hashes which are individual for each request instead of proxy certificate. Our approach allows to avoid using of the proxy certificates. Thus the security infrastructure of distributed computing system becomes easier for development, support and use.

  19. Critical Infrastructure Consequence Modeler v 0.5.0 Beta

    SciTech Connect

    Chavez, Lozanne; & Richardson, Bryan

    2009-08-11

    Implements previously developed methodology to calculate total disutility to an organization caused by impacts imposed upon the physical system in question (electric power transmission system, water system, etc).Critical infrastructure utility personnel will use this as a planning tool to determine where system weaknesses are and where improvements should be made such that the consequence of some impact is no longer higher than acceptable.

  20. Flexible Web service infrastructure for the development and deployment of predictive models.

    PubMed

    Guha, Rajarshi

    2008-02-01

    The development of predictive statistical models is a common task in the field of drug design. The process of developing such models involves two main steps: building the model and then deploying the model. Traditionally such models have been deployed using Web page interfaces. This approach restricts the user to using the specified Web page, and using the model in other ways can be cumbersome. In this paper we present a flexible and generalizable approach to the deployment of predictive models, based on a Web service infrastructure using R. The infrastructure described allows one to access the functionality of these models using a variety of approaches ranging from Web pages to workflow tools. We highlight the advantages of this infrastructure by developing and subsequently deploying random forest models for two data sets.

  1. A reference model for model-based design of critical infrastructure protection systems

    NASA Astrophysics Data System (ADS)

    Shin, Young Don; Park, Cheol Young; Lee, Jae-Chon

    2015-05-01

    Today's war field environment is getting versatile as the activities of unconventional wars such as terrorist attacks and cyber-attacks have noticeably increased lately. The damage caused by such unconventional wars has also turned out to be serious particularly if targets are critical infrastructures that are constructed in support of banking and finance, transportation, power, information and communication, government, and so on. The critical infrastructures are usually interconnected to each other and thus are very vulnerable to attack. As such, to ensure the security of critical infrastructures is very important and thus the concept of critical infrastructure protection (CIP) has come. The program to realize the CIP at national level becomes the form of statute in each country. On the other hand, it is also needed to protect each individual critical infrastructure. The objective of this paper is to study on an effort to do so, which can be called the CIP system (CIPS). There could be a variety of ways to design CIPS's. Instead of considering the design of each individual CIPS, a reference model-based approach is taken in this paper. The reference model represents the design of all the CIPS's that have many design elements in common. In addition, the development of the reference model is also carried out using a variety of model diagrams. The modeling language used therein is the systems modeling language (SysML), which was developed and is managed by Object Management Group (OMG) and a de facto standard. Using SysML, the structure and operational concept of the reference model are designed to fulfil the goal of CIPS's, resulting in the block definition and activity diagrams. As a case study, the operational scenario of the nuclear power plant while being attacked by terrorists is studied using the reference model. The effectiveness of the results is also analyzed using multiple analysis models. It is thus expected that the approach taken here has some merits

  2. Defense of Cyber Infrastructures Against Cyber-Physical Attacks Using Game-Theoretic Models.

    PubMed

    Rao, Nageswara S V; Poole, Stephen W; Ma, Chris Y T; He, Fei; Zhuang, Jun; Yau, David K Y

    2016-04-01

    The operation of cyber infrastructures relies on both cyber and physical components, which are subject to incidental and intentional degradations of different kinds. Within the context of network and computing infrastructures, we study the strategic interactions between an attacker and a defender using game-theoretic models that take into account both cyber and physical components. The attacker and defender optimize their individual utilities, expressed as sums of cost and system terms. First, we consider a Boolean attack-defense model, wherein the cyber and physical subinfrastructures may be attacked and reinforced as individual units. Second, we consider a component attack-defense model wherein their components may be attacked and defended, and the infrastructure requires minimum numbers of both to function. We show that the Nash equilibrium under uniform costs in both cases is computable in polynomial time, and it provides high-level deterministic conditions for the infrastructure survival. When probabilities of successful attack and defense, and of incidental failures, are incorporated into the models, the results favor the attacker but otherwise remain qualitatively similar. This approach has been motivated and validated by our experiences with UltraScience Net infrastructure, which was built to support high-performance network experiments. The analytical results, however, are more general, and we apply them to simplified models of cloud and high-performance computing infrastructures. © 2015 Society for Risk Analysis.

  3. Catastrophic cascade of failures in interdependent networks.

    PubMed

    Buldyrev, Sergey V; Parshani, Roni; Paul, Gerald; Stanley, H Eugene; Havlin, Shlomo

    2010-04-15

    Complex networks have been studied intensively for a decade, but research still focuses on the limited case of a single, non-interacting network. Modern systems are coupled together and therefore should be modelled as interdependent networks. A fundamental property of interdependent networks is that failure of nodes in one network may lead to failure of dependent nodes in other networks. This may happen recursively and can lead to a cascade of failures. In fact, a failure of a very small fraction of nodes in one network may lead to the complete fragmentation of a system of several interdependent networks. A dramatic real-world example of a cascade of failures ('concurrent malfunction') is the electrical blackout that affected much of Italy on 28 September 2003: the shutdown of power stations directly led to the failure of nodes in the Internet communication network, which in turn caused further breakdown of power stations. Here we develop a framework for understanding the robustness of interacting networks subject to such cascading failures. We present exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks. Surprisingly, a broader degree distribution increases the vulnerability of interdependent networks to random failure, which is opposite to how a single network behaves. Our findings highlight the need to consider interdependent network properties in designing robust networks.

  4. Airway-parenchymal interdependence

    PubMed Central

    Paré, Peter D; Mitzner, Wayne

    2015-01-01

    In this manuscript we discuss the interaction of the lung parenchyma and the airways as well as the physiological and pathophysiological significance of this interaction. These two components of the respiratory organ can be thought of as two independent elastic structures but in fact the mechanical properties of one influence the behavior of the other. Traditionally the interaction has focused on the effects of the lung on the airways but there is good evidence that the opposite is also true, i.e., that the mechanical properties of the airways influence the elastic properties of the parenchyma. The interplay between components of the respiratory system including the airways, parenchyma and vasculature is often referred to as “interdependence.” This interdependence transmits the elastic recoil of the lung to create an effective pressure that dilates the airways as transpulmonary pressure and lung volume increase. By using a continuum mechanics analysis of the lung parenchyma, it is possible to predict the effective pressure between the airways and parenchyma, and these predictions can be empirically evaluated. Normal airway caliber is maintained by this pressure in the adventitial interstitium of the airway, and it counteracts airway compression during forced expiration as well as the ability of airway smooth muscle to narrow airways. Interdependence has physiological and pathophysiological significance. Weakening of the forces of interdependence contributes to airway dysfunction and gas exchange impairment in acute and chronic airway diseases including asthma and emphysema. PMID:23723029

  5. Airway-parenchymal interdependence.

    PubMed

    Paré, Peter D; Mitzner, Wayne

    2012-07-01

    In this article, we discuss the interaction of the lung parenchyma and the airways as well as the physiological and pathophysiological significance of this interaction. These two components of the respiratory organ can be thought of as two independent elastic structures but in fact the mechanical properties of one influence the behavior of the other. Traditionally, the interaction has focused on the effects of the lung on the airways but there is good evidence that the opposite is also true, that is, that the mechanical properties of the airways influence the elastic properties of the parenchyma. The interplay between components of the respiratory system including the airways, parenchyma, and vasculature is often referred to as "interdependence." This interdependence transmits the elastic recoil of the lung to create an effective pressure that dilates the airways as transpulmonary pressure and lung volume increase. By using a continuum mechanics analysis of the lung parenchyma, it is possible to predict the effective pressure between the airways and parenchyma, and these predictions can be empirically evaluated. Normal airway caliber is maintained by this pressure in the adventitial interstitium of the airway, and it attenuates the ability of airway smooth muscle to narrow airways. Interdependence has physiological and pathophysiological significance. Weakening of the forces of interdependence contributes to airway dysfunction and gas exchange impairment in acute and chronic airway diseases including asthma and emphysema. © 2012 American Physiological Society. Compr Physiol 2:1853-1872, 2012.

  6. Concepts, Models and Implementation of the Marine Spatial Data Infrastructure in Germany Mdi-De

    NASA Astrophysics Data System (ADS)

    Rüh, C.; Bill, R.

    2012-07-01

    In Germany currently the development of a marine data infrastructure takes place with the aim of merging information concerning the fields coastal engineering, hydrography and surveying, protection of the marine environment, maritime conservation, regional planning and coastal research. This undertaking is embedded in a series of regulations and developments on many administrative levels from which specifications and courses of action derive. To set up a conceptual framework for the marine data infrastructure (MDI-DE) scientists at the Professorship for Geodesy and Geoinformatics at Rostock University are building a reference model, evaluating meta-information systems and developing models to support common workflows in marine applications. The reference model for the marine spatial data infrastructure of Germany (MDI-DE) is the guideline for all developments inside this infrastructure. Because the undertaking is embedded in a series of regulations and developments this paper illustrates an approach on modelling a scenario for the Marine Strategy Framework Directive (MSFD) using the Unified Modelling Language (UML). Evaluating how other countries built their marine spatial infrastructures is of main importance, to learn where obstacles are and errors are likely to occur. To be able to look at other initiatives from a neutral point of view it is necessary to construct a framework for evaluation of marine spatial data infrastructures. Spatial data infrastructure assessment approaches were used as bases and were expanded to meet the requirements of the marine domain. As an international case-study this paper will look at Canada's Marine Geospatial Data Infrastructure (MGDI), COINAtlantic and GeoPortal.

  7. Assessing the Vulnerability of Large Critical Infrastructure Using Fully-Coupled Blast Effects Modeling

    SciTech Connect

    McMichael, L D; Noble, C R; Margraf, J D; Glascoe, L G

    2009-03-26

    Structural failures, such as the MacArthur Maze I-880 overpass in Oakland, California and the I-35 bridge in Minneapolis, Minnesota, are recent examples of our national infrastructure's fragility and serve as an important reminder of such infrastructure in our everyday lives. These two failures, as well as the World Trade Center's collapse and the levee failures in New Orleans, highlight the national importance of protecting our infrastructure as much as possible against acts of terrorism and natural hazards. This paper describes a process for evaluating the vulnerability of critical infrastructure to large blast loads using a fully-coupled finite element approach. A description of the finite element software and modeling technique is discussed along with the experimental validation of the numerical tools. We discuss how such an approach can be used for specific problems such as modeling the progressive collapse of a building.

  8. Security and Interdependency in a Public Cloud: A Game Theoretic Approach

    DTIC Science & Technology

    2014-08-29

    appropriate parts of our paper.) However, it will be seen that interdependency underpins all these causes and influences network security in general...16 MAY 2014. 3 regular security issues any network would have is that public clouds exhibit a unique type of interdependency because of the...we will look at the interdependent nature of the critical infrastructure network in the United States and its connection to cyberspace. In

  9. Interdependency Assessment of Coupled Natural Gas and Power Systems in Energy Market

    NASA Astrophysics Data System (ADS)

    Yang, Hongzhao; Qiu, Jing; Zhang, Sanhua; Lai, Mingyong; Dong, Zhao Yang

    2015-12-01

    Owing to the technological development of natural gas exploration and the increasing penetration of gas-fired power generation, gas and power systems inevitably interact with each other from both physical and economic points of view. In order to effectively assess the two systems' interdependency, this paper proposes a systematic modeling framework and constructs simulation platforms for coupled gas and power systems in an energy market environment. By applying the proposed approach to the Australian national electricity market (NEM) and gas market, the impacts of six types of market and system factors are quantitatively analyzed, including power transmission limits, gas pipeline contingencies, gas pipeline flow constraints, carbon emission constraints, power load variations, and non-electric gas load variations. The important interdependency and infrastructure weakness for the two systems are well studied and identified. Our work provides a quantitative basis for grid operators and policy makers to support and guide operation and investment decisions for electric power and natural gas industries.

  10. A scalable infrastructure model for carbon capture and storage: SimCCS

    SciTech Connect

    Middleton, Richard S; Bielicki, Jeffrey M

    2009-01-01

    In the carbon capture and storage (CCS) process, CO2 sources and geologic reservoirs may be spatially dispersed and need to be connected through a CO2 pipeline network. The full potential of CCS to mitigate CO2 will only be realized through comprehensive planning of CCS infrastructure. We introduce a scalable infrastructure model for CCS (simCCS), the first model to generate an integrated, cost-minimizing CCS system. SimCCS determines where and how much CO2 to capture and store, and where to build and connect pipelines of different sizes, by minimizing the total cost of sequestering a given amount of CO2. SimCCS can aggregate CO2 flows between several sources and reservoirs into trunk pipelines the costs and routing of which incorporate several social and physical factors that take advantage of economies of scale. SimCCS' deployment of a realistic, capacitated pipeline network is a major advancement for planning CCS infrastructure. We demonstrate simCCS using a set of 37 CO2 sources and 14 reservoirs for the state of California. The results highlight the importance of systematic planning for CCS infrastructure by examining the sensitivity of CCS infrastructure, as optimized by simCCS, to varying CO2 targets. We finish by identifying future research areas for CCS infrastructure.

  11. An agent-based microsimulation of critical infrastructure systems

    SciTech Connect

    BARTON,DIANNE C.; STAMBER,KEVIN L.

    2000-03-29

    US infrastructures provide essential services that support the economic prosperity and quality of life. Today, the latest threat to these infrastructures is the increasing complexity and interconnectedness of the system. On balance, added connectivity will improve economic efficiency; however, increased coupling could also result in situations where a disturbance in an isolated infrastructure unexpectedly cascades across diverse infrastructures. An understanding of the behavior of complex systems can be critical to understanding and predicting infrastructure responses to unexpected perturbation. Sandia National Laboratories has developed an agent-based model of critical US infrastructures using time-dependent Monte Carlo methods and a genetic algorithm learning classifier system to control decision making. The model is currently under development and contains agents that represent the several areas within the interconnected infrastructures, including electric power and fuel supply. Previous work shows that agent-based simulations models have the potential to improve the accuracy of complex system forecasting and to provide new insights into the factors that are the primary drivers of emergent behaviors in interdependent systems. Simulation results can be examined both computationally and analytically, offering new ways of theorizing about the impact of perturbations to an infrastructure network.

  12. Is the work flow model a suitable candidate for an observatory supervisory control infrastructure?

    NASA Astrophysics Data System (ADS)

    Daly, Philip N.; Schumacher, Germán.

    2016-08-01

    This paper reports on the early investigation of using the work flow model for observatory infrastructure software. We researched several work ow engines and identified 3 for further detailed, study: Bonita BPM, Activiti and Taverna. We discuss the business process model and how it relates to observatory operations and identify a path finder exercise to further evaluate the applicability of these paradigms.

  13. Dyadic effects of attitude toward aging on psychological well-being of older Malaysian couples: an actor-partner interdependence model.

    PubMed

    Momtaz, Yadollah Abolfathi; Hamid, Tengku Aizan; Masud, Jariah; Haron, Sharifah Azizah; Ibrahim, Rahimah

    2013-01-01

    There is a growing body of literature indicating that attitudes toward aging significantly affect older adults' psychological well-being. However, there is a paucity of scientific investigations examining the role of older adults' attitudes toward aging on their spouses' psychological well-being. Therefore, the present study aimed to examine the dyadic effects of attitude toward aging on the psychological well-being of older couples. Data for the present study, consisting of 300 couples aged 50 years and older, were drawn from a community-based survey entitled "Poverty among Elderly Women: Case Study of Amanah Ikhtiar" conducted in Peninsular Malaysia. An actor-partner interdependence model using AMOS version 20 (Europress Software, Cheshire, UK) was used to analyze the dyadic data. The mean ages of the husbands and wives in this sample were 60.37 years (±6.55) and 56.33 years (±5.32), respectively. Interdependence analyses revealed significant association between older adults' attitudes toward aging and the attitudes of their spouses (intraclass correlation =0.59; P<0.001), and similar interdependence was found for psychological well-being (intraclass correlation =0.57; P<0.001). The findings from AMOS revealed that the proposed model fits the data (CMIN/degrees of freedom =3.23; goodness-of-fit index =0.90; confirmatory fit index =0.91; root mean square error of approximation =0.08). Results of the actor-partner independence model indicated that older adults' psychological well-being is significantly predicted by their spouses' attitudes toward aging, both among older men (critical ratio =2.92; P<0.01) and women (critical ratio =2.70; P<0.01). Husbands' and wives' own reports of their attitudes toward aging were significantly correlated with their own and their spouses' psychological well-being. The findings from this study supported the proposed Spousal Attitude-Well-Being Model, where older adults' attitudes toward aging significantly affected their own and

  14. Dyadic effects of attitude toward aging on psychological well-being of older Malaysian couples: an actor–partner interdependence model

    PubMed Central

    Momtaz, Yadollah Abolfathi; Hamid, Tengku Aizan; Masud, Jariah; Haron, Sharifah Azizah; Ibrahim, Rahimah

    2013-01-01

    Background There is a growing body of literature indicating that attitudes toward aging significantly affect older adults’ psychological well-being. However, there is a paucity of scientific investigations examining the role of older adults’ attitudes toward aging on their spouses’ psychological well-being. Therefore, the present study aimed to examine the dyadic effects of attitude toward aging on the psychological well-being of older couples. Methods Data for the present study, consisting of 300 couples aged 50 years and older, were drawn from a community-based survey entitled “Poverty among Elderly Women: Case Study of Amanah Ikhtiar” conducted in Peninsular Malaysia. An actor–partner interdependence model using AMOS version 20 (Europress Software, Cheshire, UK) was used to analyze the dyadic data. Results The mean ages of the husbands and wives in this sample were 60.37 years (±6.55) and 56.33 years (±5.32), respectively. Interdependence analyses revealed significant association between older adults’ attitudes toward aging and the attitudes of their spouses (intraclass correlation =0.59; P<0.001), and similar interdependence was found for psychological well-being (intraclass correlation =0.57; P<0.001). The findings from AMOS revealed that the proposed model fits the data (CMIN/degrees of freedom =3.23; goodness-of-fit index =0.90; confirmatory fit index =0.91; root mean square error of approximation =0.08). Results of the actor–partner independence model indicated that older adults’ psychological well-being is significantly predicted by their spouses’ attitudes toward aging, both among older men (critical ratio =2.92; P<0.01) and women (critical ratio =2.70; P<0.01). Husbands’ and wives’ own reports of their attitudes toward aging were significantly correlated with their own and their spouses’ psychological well-being. Conclusion The findings from this study supported the proposed Spousal Attitude–Well-Being Model, where older

  15. Independence and interdependence in the nest-site choice by honeybee swarms: Agent-based models, analytical approaches and pattern formation.

    PubMed

    Galla, Tobias

    2010-01-07

    In a recent paper List, Elsholtz and Seeley (List et al., 2009) have devised an agent-based model of the nest-choice dynamics in swarms of honeybees, and have concluded that both interdependence and independence are needed for the bees to reach a consensus on the best nest site. We here present a simplified version of the model which can be treated analytically with the tools of statistical physics and which largely has the same features as the original dynamics. Based on our analytical approaches it is possible to characterize the co-ordination outcome exactly on the deterministic level, and to a good approximation if stochastic effects are taken into account, reducing the need for computer simulations on the agent-based level. In the second part of the paper we present a spatial extension, and show that transient non-trivial patterns emerge, before consensus is reached. Approaches in terms of Langevin equations for continuous field variables are discussed.

  16. The Magnet® model: an infrastructure for excellence.

    PubMed

    Luzinski, Craig

    2011-11-01

    This month, the director of the Magnet Recognition Program provides an overview of the Magnet model. In 2007, the Magnet model was developed as a framework for grouping the Sources of Evidence, collapsing them into fewer domains than the 14 Forces of Magnetism. The new model provides a foundation for structure and process while emphasizing the importance of nursing leadership and the achievement of superior performance as evidenced by clinical practice outcomes.

  17. Spontaneous Symmetry Breaking in Interdependent Networked Game

    NASA Astrophysics Data System (ADS)

    Jin, Qing; Wang, Lin; Xia, Cheng-Yi; Wang, Zhen

    2014-02-01

    Spatial evolution game has traditionally assumed that players interact with direct neighbors on a single network, which is isolated and not influenced by other systems. However, this is not fully consistent with recent research identification that interactions between networks play a crucial rule for the outcome of evolutionary games taking place on them. In this work, we introduce the simple game model into the interdependent networks composed of two networks. By means of imitation dynamics, we display that when the interdependent factor α is smaller than a threshold value αC, the symmetry of cooperation can be guaranteed. Interestingly, as interdependent factor exceeds αC, spontaneous symmetry breaking of fraction of cooperators presents itself between different networks. With respect to the breakage of symmetry, it is induced by asynchronous expansion between heterogeneous strategy couples of both networks, which further enriches the content of spatial reciprocity. Moreover, our results can be well predicted by the strategy-couple pair approximation method.

  18. Combining Interactive Infrastructure Modeling and Evolutionary Algorithm Optimization for Sustainable Water Resources Design

    NASA Astrophysics Data System (ADS)

    Smith, R.; Kasprzyk, J. R.; Zagona, E. A.

    2013-12-01

    Population growth and climate change, combined with difficulties in building new infrastructure, motivate portfolio-based solutions to ensuring sufficient water supply. Powerful simulation models with graphical user interfaces (GUI) are often used to evaluate infrastructure portfolios; these GUI based models require manual modification of the system parameters, such as reservoir operation rules, water transfer schemes, or system capacities. Multiobjective evolutionary algorithm (MOEA) based optimization can be employed to balance multiple objectives and automatically suggest designs for infrastructure systems, but MOEA based decision support typically uses a fixed problem formulation (i.e., a single set of objectives, decisions, and constraints). This presentation suggests a dynamic framework for linking GUI-based infrastructure models with MOEA search. The framework begins with an initial formulation which is solved using a MOEA. Then, stakeholders can interact with candidate solutions, viewing their properties in the GUI model. This is followed by changes in the formulation which represent users' evolving understanding of exigent system properties. Our case study is built using RiverWare, an object-oriented, data-centered model that facilitates the representation of a diverse array of water resources systems. Results suggest that assumptions within the initial MOEA search are violated after investigating tradeoffs and reveal how formulations should be modified to better capture stakeholders' preferences.

  19. A Modeling Framework to Incorporate Effects of Infrastructure in Sociohydrological Systems

    NASA Astrophysics Data System (ADS)

    Muneepeerakul, R.

    2014-12-01

    In studying coupled natural-human systems, most modeling efforts focus on humans and the natural resources. In reality, however, humans rarely interact with these resources directly; the relationships between humans and resources are mediated by infrastructures. In sociohydrological systems, these include, for example, dams and irrigation canals. These infrastructures have important characteristics such as threshold behavior and a separate entity/organization tasked with maintaining them. These characteristics influence social dynamics within the system, which in turn determines the state of infrastructure and water usage, thereby exerting feedbacks onto the hydrological processes. Infrastructure is thus a necessary ingredient for modeling co-evolution of human and water in sociohydrological systems. A conceptual framework to address this gap has been proposed by Anderies, Janssen, and Ostrom (2004). Here we develop a model to operationalize the framework and report some preliminary results. Simple in its setup, the model highlights the structure of the social dilemmas and how it affects the system's sustainability. The model also offers a platform to explore how the system's sustainability may respond to external shocks from globalization and global climate change.

  20. A Neighborhood-Scale Green Infrastructure Retrofit: Experimental Results, Model Simulations, and Resident Perspectives

    NASA Astrophysics Data System (ADS)

    Jefferson, A.; Avellaneda, P. M.; Jarden, K. M.; Turner, V. K.; Grieser, J.

    2016-12-01

    Distributed green infrastructure approaches to stormwater management that can be retrofit into existing development are of growing interest, but questions remain about their effectiveness at the watershed-scale. In suburban northeastern Ohio, homeowners on a residential street with 55% impervious surface were given the opportunity for free rain barrels, rain gardens, and bioretention cells. Of 163 parcels, only 22 owners (13.5%) chose to participate, despite intense outreach efforts. After pre-treatment monitoring, 37 rain barrels, 7 rain gardens, and 16 street-side bioretention cells were installed in 2013-2014. Using a paired watershed approach, a reduction in up to 33% of peak flow and 40% of total runoff volume per storm was measured in the storm sewer. Using the monitoring data, a calibrated and validated SWMM model was built to explore the long-term effectiveness of the green infrastructure against a wider range of hydrological conditions. Model results confirm the effectiveness of green infrastructure in reducing surface runoff and increasing infiltration and evaporation. Based on 20 years of historical precipitation data, the model shows that the green infrastructure is capable of reducing flows by >40% at the 1, 2, and 5 year return period, suggesting some resilience to projected increases in precipitation intensity in a changing climate. Further, in this project, more benefit is derived from the street-side bioretention cells than from the rain barrels and gardens that treat rooftop runoff. Substantial hydrological gains were achieved despite low homeowner participation. Surveys indicate that many residents viewed stormwater as the city's problem and had negative perceptions of green infrastructure, despite slightly pro-environment values generally. Overall, this study demonstrates green infrastructure's hydrological effectiveness but raises challenging questions about overcoming social barriers retrofits at the neighborhood scale.

  1. Infrastructure system restoration planning using evolutionary algorithms

    USGS Publications Warehouse

    Corns, Steven; Long, Suzanna K.; Shoberg, Thomas G.

    2016-01-01

    This paper presents an evolutionary algorithm to address restoration issues for supply chain interdependent critical infrastructure. Rapid restoration of infrastructure after a large-scale disaster is necessary to sustaining a nation's economy and security, but such long-term restoration has not been investigated as thoroughly as initial rescue and recovery efforts. A model of the Greater Saint Louis Missouri area was created and a disaster scenario simulated. An evolutionary algorithm is used to determine the order in which the bridges should be repaired based on indirect costs. Solutions were evaluated based on the reduction of indirect costs and the restoration of transportation capacity. When compared to a greedy algorithm, the evolutionary algorithm solution reduced indirect costs by approximately 12.4% by restoring automotive travel routes for workers and re-establishing the flow of commodities across the three rivers in the Saint Louis area.

  2. The Investigation of Relationship among Relational-Interdependent Self-Construal, Cyberbullying, and Psychological Disharmony in Adolescents: An Investigation of Structural Equation Modelling

    ERIC Educational Resources Information Center

    Cetin, Bayram; Eroglu, Yuksel; Peker, Adem; Akbaba, Sirri; Pepsoy, Sevim

    2012-01-01

    The aim of this study is to investigate the effect of relational-interdependent self-construal on cyberbullying and the effect of cyberbullying on psychological disharmony. Participants were 258 high school students. In this study, the Relational-Interdependent Self-Construal Scale, the Revised Cyberbullying Inventory, and the Depression, Anxiety,…

  3. Effects of self-care on quality of life in adults with heart failure and their spousal caregivers: testing dyadic dynamics using the actor-partner interdependence model.

    PubMed

    Vellone, Ercole; Chung, Misook L; Cocchieri, Antonello; Rocco, Gennaro; Alvaro, Rosaria; Riegel, Barbara

    2014-02-01

    Emotions are contagious in couples. The purpose of this study was to analyze the manner in which adults with chronic heart failure (HF) and their informal caregivers influence each other's self-care behavior and quality of life (QOL). A sample of 138 HF patients and spouses was enrolled from ambulatory centers across Italy. The Actor-Partner Interdependence Model (APIM) was used to analyze dyadic data obtained with the Self-Care of Heart Failure Index (SCHFI), the Caregivers Contribution to the SCHFI, and the Short Form 12. Both actor and partner effects were found. Higher self-care was related to lower physical QOL in patients and caregivers. Higher self-care maintenance in patients was associated with better mental QOL in caregivers. In caregivers, confidence in the ability to support patients in self-care was associated with improved caregivers' mental QOL, but worsened physical QOL in patients. Interventions that build the caregivers' confidence are needed.

  4. A guide for the estimation of gender and sexual orientation effects in dyadic data: an actor-partner interdependence model approach.

    PubMed

    West, Tessa V; Popp, Danielle; Kenny, David A

    2008-03-01

    The study of gender differences is a pervasive topic in relationship science. However, there are several neglected issues in this area that require special care and attention. First, there is not just one gender effect but rather three gender effects: gender of the respondent, gender of the partner, and the gender of respondent by gender of the partner interaction. To separate these three effects, the dyadic research design should ideally have three different types of dyads: male-female, male-male, and female-female. Second, the analysis of gender differences in relational studies could benefit from the application of recent advances in the analysis of dyadic data, most notably the Actor-Partner Interdependence Model. Third, relationship researchers need to consider the confounding, mediating, and moderating effects of demographic variables. We use the American Couples (Blumstein & Schwartz, 1983) data set to illustrate these points.

  5. An Information Infrastructure for Coastal Models and Data

    NASA Astrophysics Data System (ADS)

    Hardin, D.; Keiser, K.; Conover, H.; Graves, S.

    2007-12-01

    Advances in semantics and visualization have given rise to new capabilities for the location, manipulation, integration, management and display of data and information in and across domains. An example of these capabilities is illustrated by a coastal restoration project that utilizes satellite, in-situ data and hydrodynamic model output to address seagrass habitat restoration in the Northern Gulf of Mexico. In this project a standard stressor conceptual model was implemented as an ontology in addition to the typical CMAP diagram. The ontology captures the elements of the seagrass conceptual model as well as the relationships between them. Noesis, developed by the University of Alabama in Huntsville, is an application that provides a simple but powerful way to search and organize data and information represented by ontologies. Noesis uses domain ontologies to help scope search queries to ensure that search results are both accurate and complete. Semantics are captured by refining the query terms to cover synonyms, specializations, generalizations and related concepts. As a resource aggregator Noesis categorizes search results returned from multiple, concurrent search engines such as Google, Yahoo, and Ask.com. Search results are further directed by accessing domain specific catalogs that include outputs from hydrodynamic and other models. Embedded within the search results are links that invoke applications such as web map displays, animation tools and virtual globe applications such as Google Earth. In the seagrass prioritization project Noesis is used to locate information that is vital to understanding the impact of stressors on the habitat. This presentation will show how the intelligent search capabilities of Noesis are coupled with visualization tools and model output to investigate the restoration of seagrass habitat.

  6. Comparison of Modeled Results for Kansas City Middle Blue River Green Infrastructure Pilot Project

    EPA Science Inventory

    The Water Services Department (WSD) in Kansas City, Missouri (KCMO) has conducted extensive modeling and economic studies of its combined sewer system (CSS) over the last several years. A number of green infrastructure (GI) solutions were identified and constructed to reduce dis...

  7. Comparison of Modeled Results for Kansas City Middle Blue River Green Infrastructure Pilot Project

    EPA Science Inventory

    The Water Services Department (WSD) in Kansas City, Missouri (KCMO) has conducted extensive modeling and economic studies of its combined sewer system (CSS) over the last several years. A number of green infrastructure (GI) solutions were identified and constructed to reduce dis...

  8. Recovery of Interdependent Networks

    NASA Astrophysics Data System (ADS)

    di Muro, M. A.; La Rocca, C. E.; Stanley, H. E.; Havlin, S.; Braunstein, L. A.

    2016-03-01

    Recent network research has focused on the cascading failures in a system of interdependent networks and the necessary preconditions for system collapse. An important question that has not been addressed is how to repair a failing system before it suffers total breakdown. Here we introduce a recovery strategy for nodes and develop an analytic and numerical framework for studying the concurrent failure and recovery of a system of interdependent networks based on an efficient and practically reasonable strategy. Our strategy consists of repairing a fraction of failed nodes, with probability of recovery γ, that are neighbors of the largest connected component of each constituent network. We find that, for a given initial failure of a fraction 1 ‑ p of nodes, there is a critical probability of recovery above which the cascade is halted and the system fully restores to its initial state and below which the system abruptly collapses. As a consequence we find in the plane γ ‑ p of the phase diagram three distinct phases. A phase in which the system never collapses without being restored, another phase in which the recovery strategy avoids the breakdown, and a phase in which even the repairing process cannot prevent system collapse.

  9. Recovery of Interdependent Networks.

    PubMed

    Di Muro, M A; La Rocca, C E; Stanley, H E; Havlin, S; Braunstein, L A

    2016-03-09

    Recent network research has focused on the cascading failures in a system of interdependent networks and the necessary preconditions for system collapse. An important question that has not been addressed is how to repair a failing system before it suffers total breakdown. Here we introduce a recovery strategy for nodes and develop an analytic and numerical framework for studying the concurrent failure and recovery of a system of interdependent networks based on an efficient and practically reasonable strategy. Our strategy consists of repairing a fraction of failed nodes, with probability of recovery γ, that are neighbors of the largest connected component of each constituent network. We find that, for a given initial failure of a fraction 1 - p of nodes, there is a critical probability of recovery above which the cascade is halted and the system fully restores to its initial state and below which the system abruptly collapses. As a consequence we find in the plane γ - p of the phase diagram three distinct phases. A phase in which the system never collapses without being restored, another phase in which the recovery strategy avoids the breakdown, and a phase in which even the repairing process cannot prevent system collapse.

  10. Recovery of Interdependent Networks

    PubMed Central

    Di Muro, M. A.; La Rocca, C. E.; Stanley, H. E.; Havlin, S.; Braunstein, L. A.

    2016-01-01

    Recent network research has focused on the cascading failures in a system of interdependent networks and the necessary preconditions for system collapse. An important question that has not been addressed is how to repair a failing system before it suffers total breakdown. Here we introduce a recovery strategy for nodes and develop an analytic and numerical framework for studying the concurrent failure and recovery of a system of interdependent networks based on an efficient and practically reasonable strategy. Our strategy consists of repairing a fraction of failed nodes, with probability of recovery γ, that are neighbors of the largest connected component of each constituent network. We find that, for a given initial failure of a fraction 1 − p of nodes, there is a critical probability of recovery above which the cascade is halted and the system fully restores to its initial state and below which the system abruptly collapses. As a consequence we find in the plane γ − p of the phase diagram three distinct phases. A phase in which the system never collapses without being restored, another phase in which the recovery strategy avoids the breakdown, and a phase in which even the repairing process cannot prevent system collapse. PMID:26956773

  11. Making Culverts Great Again: Modeling Road Culvert Vulnerability to Assist Prioritization of Local Infrastructure Investment

    NASA Astrophysics Data System (ADS)

    Gold, D.; Walter, M. T.; Watkins, L.; Kaufman, Z.; Meyer, A.; Mahaney, M.

    2016-12-01

    The concurrent threats posed by climate change and aging infrastructure have become of increasing concern in recent years. In the Northeastern US, storms such as Hurricane Irene and Super Storm Sandy have highlighted the vulnerability of infrastructure to extreme weather events, which are projected to become more frequent under future climate change scenarios. Road culverts are one type of infrastructure that is particularly vulnerable to such threats. Culverts allow roads to safely traverse small streams or drainage ditches, and their proper design is critical to ensuring a safe and reliable transportation network. Much of the responsibility for designing and maintaining road culverts lies at the local level, but many local governments lack the resources to quantify the vulnerability of their culverts to major storms. This study contributes a model designed to assist local governments in rapidly assessing the vulnerability of large numbers of culverts and identifies common characteristics of vulnerable culverts. Model inputs include culvert geometry and location data collected by trained local field teams. The model uses custom tools created in ArcGIS and Python to determine the maximum return period storm that each culvert can safely convey under current and projected future rainfall regimes. As a demonstration, over 1000 culverts in New York State were modeled. It was found that a significant percentage of modeled culverts failed to convey the current 5 year return period storm event (deemed a failure) and this percentage increased under projected future rainfall conditions. The model results were analyzed to determine correlations between culvert characteristics and failure. Characteristics investigated included watershed size, road type (state, county or local), affluence of the surrounding area and suitability for aquatic organism passage. Results from this study can be used by local governments to quantify and characterize the vulnerability of current

  12. Sensing Models and Sensor Network Architectures for Transport Infrastructure Monitoring in Smart Cities

    NASA Astrophysics Data System (ADS)

    Simonis, Ingo

    2015-04-01

    Transport infrastructure monitoring and analysis is one of the focus areas in the context of smart cities. With the growing number of people moving into densely populated urban metro areas, precise tracking of moving people and goods is the basis for profound decision-making and future planning. With the goal of defining optimal extensions and modifications to existing transport infrastructures, multi-modal transport has to be monitored and analysed. This process is performed on the basis of sensor networks that combine a variety of sensor models, types, and deployments within the area of interest. Multi-generation networks, consisting of a number of sensor types and versions, are causing further challenges for the integration and processing of sensor observations. These challenges are not getting any smaller with the development of the Internet of Things, which brings promising opportunities, but is currently stuck in a type of protocol war between big industry players from both the hardware and network infrastructure domain. In this paper, we will highlight how the OGC suite of standards, with the Sensor Web standards developed by the Sensor Web Enablement Initiative together with the latest developments by the Sensor Web for Internet of Things community can be applied to the monitoring and improvement of transport infrastructures. Sensor Web standards have been applied in the past to pure technical domains, but need to be broadened now in order to meet new challenges. Only cross domain approaches will allow to develop satisfying transport infrastructure approaches that take into account requirements coming form a variety of sectors such as tourism, administration, transport industry, emergency services, or private people. The goal is the development of interoperable components that can be easily integrated within data infrastructures and follow well defined information models to allow robust processing.

  13. Independence and Interdependence in Early Childhood Services

    ERIC Educational Resources Information Center

    Whitington, Victoria

    2004-01-01

    It is through culture that children make sense of their worlds (Trevarthen, 1998). Cross- cultural models show that families are likely to primarily foster either independence or interdependence in their children (Gonzalez-Mena, 1997; Greenfield, 1994). Young children are likely to pay the "price of acculturation" when they enter early…

  14. Shaping Science for Increasing Interdependence and Specialization.

    PubMed

    Utzerath, Christian; Fernández, Guillén

    2017-03-01

    Like art, science affords an individualistic career. However, increasingly, complexity necessitates increased interdependency and specialization. Despite this change, many institutions, funding agencies, and publishers insist on an exclusively individualistic model of science. This hinders scientific progress by imposing a range of inefficiencies in the planning and execution of research plans.

  15. Independence and Interdependence in Early Childhood Services

    ERIC Educational Resources Information Center

    Whitington, Victoria

    2004-01-01

    It is through culture that children make sense of their worlds (Trevarthen, 1998). Cross- cultural models show that families are likely to primarily foster either independence or interdependence in their children (Gonzalez-Mena, 1997; Greenfield, 1994). Young children are likely to pay the "price of acculturation" when they enter early…

  16. Software development infrastructure for the HYBRID modeling and simulation project

    SciTech Connect

    Aaron S. Epiney; Robert A. Kinoshita; Jong Suk Kim; Cristian Rabiti; M. Scott Greenwood

    2016-09-01

    One of the goals of the HYBRID modeling and simulation project is to assess the economic viability of hybrid systems in a market that contains renewable energy sources like wind. The idea is that it is possible for the nuclear plant to sell non-electric energy cushions, which absorb (at least partially) the volatility introduced by the renewable energy sources. This system is currently modeled in the Modelica programming language. To assess the economics of the system, an optimization procedure is trying to find the minimal cost of electricity production. The RAVEN code is used as a driver for the whole problem. It is assumed that at this stage, the HYBRID modeling and simulation framework can be classified as non-safety “research and development” software. The associated quality level is Quality Level 3 software. This imposes low requirements on quality control, testing and documentation. The quality level could change as the application development continues.Despite the low quality requirement level, a workflow for the HYBRID developers has been defined that include a coding standard and some documentation and testing requirements. The repository performs automated unit testing of contributed models. The automated testing is achieved via an open-source python script called BuildingsP from Lawrence Berkeley National Lab. BuildingsPy runs Modelica simulation tests using Dymola in an automated manner and generates and runs unit tests from Modelica scripts written by developers. In order to assure effective communication between the different national laboratories a biweekly videoconference has been set-up, where developers can report their progress and issues. In addition, periodic face-face meetings are organized intended to discuss high-level strategy decisions with management. A second means of communication is the developer email list. This is a list to which everybody can send emails that will be received by the collective of the developers and managers

  17. SimWIND: A Geospatial Infrastructure Model for Wind Energy Production and Transmission

    NASA Astrophysics Data System (ADS)

    Middleton, R. S.; Phillips, B. R.; Bielicki, J. M.

    2009-12-01

    Wind is a clean, enduring energy resource with a capacity to satisfy 20% or more of the electricity needs in the United States. A chief obstacle to realizing this potential is the general paucity of electrical transmission lines between promising wind resources and primary load centers. Successful exploitation of this resource will therefore require carefully planned enhancements to the electric grid. To this end, we present the model SimWIND for self-consistent optimization of the geospatial arrangement and cost of wind energy production and transmission infrastructure. Given a set of wind farm sites that satisfy meteorological viability and stakeholder interest, our model simultaneously determines where and how much electricity to produce, where to build new transmission infrastructure and with what capacity, and where to use existing infrastructure in order to minimize the cost for delivering a given amount of electricity to key markets. Costs and routing of transmission line construction take into account geographic and social factors, as well as connection and delivery expenses (transformers, substations, etc.). We apply our model to Texas and consider how findings complement the 2008 Electric Reliability Council of Texas (ERCOT) Competitive Renewable Energy Zones (CREZ) Transmission Optimization Study. Results suggest that integrated optimization of wind energy infrastructure and cost using SimWIND could play a critical role in wind energy planning efforts.

  18. Critical Infrastructure Protection II, The International Federation for Information Processing, Volume 290.

    NASA Astrophysics Data System (ADS)

    Papa, Mauricio; Shenoi, Sujeet

    The information infrastructure -- comprising computers, embedded devices, networks and software systems -- is vital to day-to-day operations in every sector: information and telecommunications, banking and finance, energy, chemicals and hazardous materials, agriculture, food, water, public health, emergency services, transportation, postal and shipping, government and defense. Global business and industry, governments, indeed society itself, cannot function effectively if major components of the critical information infrastructure are degraded, disabled or destroyed. Critical Infrastructure Protection II describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: - Themes and Issues - Infrastructure Security - Control Systems Security - Security Strategies - Infrastructure Interdependencies - Infrastructure Modeling and Simulation This book is the second volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of twenty edited papers from the Second Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection held at George Mason University, Arlington, Virginia, USA in the spring of 2008.

  19. Model for a University-Based Clinical Research Development Infrastructure

    PubMed Central

    Havermahl, Tamara; LaPensee, Elizabeth; Williams, David; Clauw, Daniel; Parker, Robert A.; Downey, Brad; Liu, Jing; Myles, James

    2014-01-01

    The Research Development Core (RDC) is housed within the Michigan Institute for Clinical & Health Research (MICHR) at the University of Michigan (U-M). Established in 2006, RDC provides no-cost, in-person consultations to help U-M investigators strengthen their grant proposals. RDC offers investigators feedback and critique on all aspects of their study design, plus partnerships, funding mechanisms and future directions. This article describes RDC’s model and provides data describing the success of its services. The RDC is composed of a multidisciplinary team of professionals in grant development. It is comprised of two senior faculty co-directors from the U-M Medical School, two senior biostatisticians, outside faculty content experts, and RDC administrative staff. Investigators contact RDC to request a consultation and submit advance grant materials for review by the RDC team. During the consultation, investigators explain their project and identify challenges. The RDC team and additional experts offer feedback that is captured in meeting notes and provided to investigators. RDC commitments beyond the meetings are implemented and carefully tracked. Investigators may also request grant editing, budgeting, or proposal submission assistance. Investigators utilizing RDC have been awarded $44.5 million since 2011. The demand for RDC consultations doubled from 2010 to 2011, and reached a high of 131 consultations in 2012. Investigator feedback has been positive: 80% reported RDC had a strong impact on their proposal, and over 90% indicated they would recommend RDC to colleagues. MICHR is committed to providing investigators with RDC services to better ensure strong grant applications and successful research careers. PMID:25340362

  20. Using AGWA and the KINEROS2 Model-to-Model Green Infrastructure in Two Typical Residential Lots in Prescott, AZ

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment (AGWA) Urban tool provides a step-by-step process to model subdivisions using the KINEROS2 model, with and without Green Infrastructure (GI) practices. AGWA utilizes the Kinematic Runoff and Erosion (KINEROS2) model, an event driven, ...

  1. Using AGWA and the KINEROS2 Model-to-Model Green Infrastructure in Two Typical Residential Lots in Prescott, AZ

    EPA Science Inventory

    The Automated Geospatial Watershed Assessment (AGWA) Urban tool provides a step-by-step process to model subdivisions using the KINEROS2 model, with and without Green Infrastructure (GI) practices. AGWA utilizes the Kinematic Runoff and Erosion (KINEROS2) model, an event driven, ...

  2. National Survey of Hematopoietic Cell Transplantation Center Personnel, Infrastructure, and Models of Care Delivery.

    PubMed

    Majhail, Navneet S; Mau, Lih-Wen; Chitphakdithai, Pintip; Payton, Tammy; Eckrich, Michael; Joffe, Steven; Lee, Stephanie J; LeMaistre, Charles F; LeRademacher, Jennifer; Loberiza, Fausto; Logan, Brent; Parsons, Susan K; Repaczki-Jones, Ramona; Robinett, Pam; Rizzo, J Douglas; Murphy, Elizabeth; Denzen, Ellen M

    2015-07-01

    Hematopoietic cell transplantation (HCT) is a complex procedure that requires availability of adequate infrastructure, personnel, and resources at transplantation centers. We conducted a national survey of transplantation centers in the United States to obtain data on their personnel, infrastructure, and care delivery models. A 42-item web-based survey was administered to medical directors of transplantation centers in the United States that reported any allogeneic HCT to the Center for International Blood and Marrow Transplant Research in 2011. The response rate for the survey was 79% for adult programs (85 of 108 centers) and 82% for pediatric programs (54 of 66 centers). For describing results, we categorized centers into groups with similar volumes based on 2010 total HCT activity (adult centers, 9 categories; pediatric centers, 6 categories). We observed considerable variation in available resources, infrastructure, personnel, and care delivery models among adult and pediatric transplantation centers. Characteristics varied substantially among centers with comparable transplantation volumes. Transplantation centers may find these data helpful in assessing their present capacity and use them to evaluate potential resource needs for personnel, infrastructure, and care delivery and in planning for growth. Copyright © 2015 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

  3. Education for an Interdependent Future.

    ERIC Educational Resources Information Center

    Brodbelt, Samuel

    1979-01-01

    Calls for social studies teachers to emphasize future studies and the implications of growing global interdependence. Students should learn about alternative futures, the possible decline of nationalism, overpopulation and food resources, the ecological system and natural resources, and ways of achieving interdependence. (AV)

  4. Guide to the Concept: Interdependence.

    ERIC Educational Resources Information Center

    King, David C.

    This draft outline presents and organizes for teachers one of the fundamental concepts in war/peace studies: interdependence. As the definitional statement makes clear, interdependence involves learning to look at the world as a single system, and to identify and analyze its various subsystems. Part of the rationale for considering interdependence…

  5. Education for an Interdependent Future.

    ERIC Educational Resources Information Center

    Brodbelt, Samuel

    1979-01-01

    Calls for social studies teachers to emphasize future studies and the implications of growing global interdependence. Students should learn about alternative futures, the possible decline of nationalism, overpopulation and food resources, the ecological system and natural resources, and ways of achieving interdependence. (AV)

  6. Cascades in interdependent flow networks

    NASA Astrophysics Data System (ADS)

    Scala, Antonio; De Sanctis Lucentini, Pier Giorgio; Caldarelli, Guido; D'Agostino, Gregorio

    2016-06-01

    In this manuscript, we investigate the abrupt breakdown behavior of coupled distribution grids under load growth. This scenario mimics the ever-increasing customer demand and the foreseen introduction of energy hubs interconnecting the different energy vectors. We extend an analytical model of cascading behavior due to line overloads to the case of interdependent networks and find evidence of first order transitions due to the long-range nature of the flows. Our results indicate that the foreseen increase in the couplings between the grids has two competing effects: on the one hand, it increases the safety region where grids can operate without withstanding systemic failures; on the other hand, it increases the possibility of a joint systems' failure.

  7. Impact of Degree Heterogeneity on Attack Vulnerability of Interdependent Networks

    PubMed Central

    Sun, Shiwen; Wu, Yafang; Ma, Yilin; Wang, Li; Gao, Zhongke; Xia, Chengyi

    2016-01-01

    The study of interdependent networks has become a new research focus in recent years. We focus on one fundamental property of interdependent networks: vulnerability. Previous studies mainly focused on the impact of topological properties upon interdependent networks under random attacks, the effect of degree heterogeneity on structural vulnerability of interdependent networks under intentional attacks, however, is still unexplored. In order to deeply understand the role of degree distribution and in particular degree heterogeneity, we construct an interdependent system model which consists of two networks whose extent of degree heterogeneity can be controlled simultaneously by a tuning parameter. Meanwhile, a new quantity, which can better measure the performance of interdependent networks after attack, is proposed. Numerical simulation results demonstrate that degree heterogeneity can significantly increase the vulnerability of both single and interdependent networks. Moreover, it is found that interdependent links between two networks make the entire system much more fragile to attacks. Enhancing coupling strength between networks can greatly increase the fragility of both networks against targeted attacks, which is most evident under the case of max-max assortative coupling. Current results can help to deepen the understanding of structural complexity of complex real-world systems. PMID:27609483

  8. Emotional Interdependence and Well-Being in Close Relationships.

    PubMed

    Sels, Laura; Ceulemans, Eva; Bulteel, Kirsten; Kuppens, Peter

    2016-01-01

    Emotional interdependence-here defined as partners' emotions being linked to each other across time-is often considered a key characteristic of healthy romantic relationships. But is this actually the case? We conducted an experience-sampling study with 50 couples indicating their feelings 10 times a day for 7 days and modeled emotional interdependence for each couple separately taking a dyadographic approach. The majority of couples (64%) did not demonstrate strong signs of emotional interdependence, and couples that did, showed great inter-dyad differences in their specific patterns. Individuals from emotionally more interdependent couples reported higher individual well-being than individuals from more independent couples in terms of life satisfaction but not depression. Relational well-being was not (relationship satisfaction) or even negatively (empathic concern) related to the degree of emotional interdependence. Especially driving the emotions of the partner (i.e., sender effects) accounted for these associations, opposed to following the emotions of the partner (i.e., receiver effects). Additionally, assessing emotional interdependence for positive and negative emotions separately elucidated that primarily emotional interdependence for positive emotions predicted more self-reported life satisfaction and less empathic concern. These findings highlight the existence of large inter-dyad differences, explore relationships between emotional interdependence and key well-being variables, and demonstrate differential correlates for sending and receiving emotions.

  9. Impact of Degree Heterogeneity on Attack Vulnerability of Interdependent Networks

    NASA Astrophysics Data System (ADS)

    Sun, Shiwen; Wu, Yafang; Ma, Yilin; Wang, Li; Gao, Zhongke; Xia, Chengyi

    2016-09-01

    The study of interdependent networks has become a new research focus in recent years. We focus on one fundamental property of interdependent networks: vulnerability. Previous studies mainly focused on the impact of topological properties upon interdependent networks under random attacks, the effect of degree heterogeneity on structural vulnerability of interdependent networks under intentional attacks, however, is still unexplored. In order to deeply understand the role of degree distribution and in particular degree heterogeneity, we construct an interdependent system model which consists of two networks whose extent of degree heterogeneity can be controlled simultaneously by a tuning parameter. Meanwhile, a new quantity, which can better measure the performance of interdependent networks after attack, is proposed. Numerical simulation results demonstrate that degree heterogeneity can significantly increase the vulnerability of both single and interdependent networks. Moreover, it is found that interdependent links between two networks make the entire system much more fragile to attacks. Enhancing coupling strength between networks can greatly increase the fragility of both networks against targeted attacks, which is most evident under the case of max-max assortative coupling. Current results can help to deepen the understanding of structural complexity of complex real-world systems.

  10. Impact of infrastructure and local environment on road unsafety. Logistic modeling with spatial autocorrelation.

    PubMed

    Flahaut, Benoît

    2004-11-01

    This article aims at modeling the impact of road characteristics and local spatial environment on road (un)safety. The study applies to Belgium where some 1,500 people are killed annually on the roads. This statistic corresponds to one of the highest risks in Europe. Road unsafety is expressed here as whether an hectometer of road belongs to a black zone; a black zone is defined as a segment of road where roads accidents are concentrated. Logistic modeling including spatial autocorrelation is used and compared to non-spatial regression. It is shown that a spatial model is needed to avoid biased estimated parameters. Results show that local environment and road infrastructure play a substantial role in the co-occurrence of road accidents. Hence, education and enforcement cannot be the only measures taken to reach a sustainable road safety. To attain their objectives of accident reduction, public authorities should also take their responsibilities in the matter of securing road infrastructure.

  11. Data management for geospatial vulnerability assessment of interdependencies in US power generation

    SciTech Connect

    Shih, C.Y.; Scown, C.D.; Soibelman, L.; Matthews, H.S.; Garrett, J.H.; Dodrill, K.; McSurdy, S.

    2009-09-15

    Critical infrastructures maintain our society's stability, security, and quality of life. These systems are also interdependent, which means that the disruption of one infrastructure system can significantly impact the operation of other systems. Because of the heavy reliance on electricity production, it is important to assess possible vulnerabilities. Determining the source of these vulnerabilities can provide insight for risk management and emergency response efforts. This research uses data warehousing and visualization techniques to explore the interdependencies between coal mines, rail transportation, and electric power plants. By merging geospatial and nonspatial data, we are able to model the potential impacts of a disruption to one or more mines, rail lines, or power plants, and visually display the results using a geographical information system. A scenario involving a severe earthquake in the New Madrid Seismic Zone is used to demonstrate the capabilities of the model when given input in the form of a potentially impacted area. This type of interactive analysis can help decision makers to understand the vulnerabilities of the coal distribution network and the potential impact it can have on electricity production.

  12. Toward a multidimensional model of athletes' commitment to coach-athlete relationships and interdependent sport teams: a substantive-methodological synergy.

    PubMed

    Jackson, Ben; Gucciardi, Daniel F; Dimmock, James A

    2014-02-01

    Drawing from a three-factor model of organizational commitment, we sought to provide validity evidence for a multidimensional conceptualization designed to capture adolescent athletes' commitment to their coach-athlete relationship or their team. In Study 1, 335 individual-sport athletes (Mage = 17.32, SD = 1.38) completed instruments assessing affective, normative, and continuance commitment to their relationship with their coach, and in Study 2, contextually modified instruments were administered to assess interdependent-sport athletes' (N = 286, Mage = 16.31, SD = 1.33) commitment to their team. Bayesian structural equation modeling revealed support for a three-factor (in comparison with a single-factor) model, along with relations between commitment dimensions and relevant correlates (e.g., satisfaction, return intentions, cohesion) that were largely consistent with theory. Guided by recent advancements in Bayesian modeling, these studies provide a new commitment instrument with the potential for use and refinement in team- and relationship-based settings and offer preliminary support for a conceptual framework that may help advance our understanding of the factors underpinning individuals' engagement in sport.

  13. Social contagions on interdependent lattice networks

    PubMed Central

    Shu, Panpan; Gao, Lei; Zhao, Pengcheng; Wang, Wei; Stanley, H. Eugene

    2017-01-01

    Although an increasing amount of research is being done on the dynamical processes on interdependent spatial networks, knowledge of how interdependent spatial networks influence the dynamics of social contagion in them is sparse. Here we present a novel non-Markovian social contagion model on interdependent spatial networks composed of two identical two-dimensional lattices. We compare the dynamics of social contagion on networks with different fractions of dependency links and find that the density of final recovered nodes increases as the number of dependency links is increased. We use a finite-size analysis method to identify the type of phase transition in the giant connected components (GCC) of the final adopted nodes and find that as we increase the fraction of dependency links, the phase transition switches from second-order to first-order. In strong interdependent spatial networks with abundant dependency links, increasing the fraction of initial adopted nodes can induce the switch from a first-order to second-order phase transition associated with social contagion dynamics. In networks with a small number of dependency links, the phase transition remains second-order. In addition, both the second-order and first-order phase transition points can be decreased by increasing the fraction of dependency links or the number of initially-adopted nodes. PMID:28300198

  14. Catastrophic cascade of failures in interdependent networks

    NASA Astrophysics Data System (ADS)

    Buldyrev, Sergey V.; Havlin, Shlomo; Parshani, Roni; Paul, Gerald; Stanley, H. Eugene

    2010-03-01

    Many complex systems are coupled together and therefore should be modeled by multiple interdependent networks. For example, a power network in which the nodes are power stations and a communication network in which the nodes are computers, are interdependent. In interdependent networks, failure of nodes in one network, cause failure of dependent nodes in another network. This may happen recursively and can lead to a cascade of failures: a failure of a very small fraction of nodes in one network may lead to the complete fragmentation of a system. We provide a framework for understanding the robustness of interacting networks subject to such cascading failures and provide a basic analytic approach that may be useful in future work. We present exact analytical solutions for the critical fraction of nodes that upon removal will lead to a failure cascade and to a complete fragmentation of two randomly connected interdependent networks in terms of the generating functions of their degree distributions. Surprisingly, networks with broad degree distributions are more vulnerable to random failures than networks with narrow degree distributions.

  15. Social contagions on interdependent lattice networks

    NASA Astrophysics Data System (ADS)

    Shu, Panpan; Gao, Lei; Zhao, Pengcheng; Wang, Wei; Stanley, H. Eugene

    2017-03-01

    Although an increasing amount of research is being done on the dynamical processes on interdependent spatial networks, knowledge of how interdependent spatial networks influence the dynamics of social contagion in them is sparse. Here we present a novel non-Markovian social contagion model on interdependent spatial networks composed of two identical two-dimensional lattices. We compare the dynamics of social contagion on networks with different fractions of dependency links and find that the density of final recovered nodes increases as the number of dependency links is increased. We use a finite-size analysis method to identify the type of phase transition in the giant connected components (GCC) of the final adopted nodes and find that as we increase the fraction of dependency links, the phase transition switches from second-order to first-order. In strong interdependent spatial networks with abundant dependency links, increasing the fraction of initial adopted nodes can induce the switch from a first-order to second-order phase transition associated with social contagion dynamics. In networks with a small number of dependency links, the phase transition remains second-order. In addition, both the second-order and first-order phase transition points can be decreased by increasing the fraction of dependency links or the number of initially-adopted nodes.

  16. Social contagions on interdependent lattice networks.

    PubMed

    Shu, Panpan; Gao, Lei; Zhao, Pengcheng; Wang, Wei; Stanley, H Eugene

    2017-03-16

    Although an increasing amount of research is being done on the dynamical processes on interdependent spatial networks, knowledge of how interdependent spatial networks influence the dynamics of social contagion in them is sparse. Here we present a novel non-Markovian social contagion model on interdependent spatial networks composed of two identical two-dimensional lattices. We compare the dynamics of social contagion on networks with different fractions of dependency links and find that the density of final recovered nodes increases as the number of dependency links is increased. We use a finite-size analysis method to identify the type of phase transition in the giant connected components (GCC) of the final adopted nodes and find that as we increase the fraction of dependency links, the phase transition switches from second-order to first-order. In strong interdependent spatial networks with abundant dependency links, increasing the fraction of initial adopted nodes can induce the switch from a first-order to second-order phase transition associated with social contagion dynamics. In networks with a small number of dependency links, the phase transition remains second-order. In addition, both the second-order and first-order phase transition points can be decreased by increasing the fraction of dependency links or the number of initially-adopted nodes.

  17. Infrastructure and social tie: Spatial model approach on understanding poverty in Malang regency, Indonesia

    NASA Astrophysics Data System (ADS)

    Ari, I. R. D.; Hasyim, A. W.; Pratama, B. A.; Helmy, M.; Sheilla, M. N.

    2017-06-01

    Poverty is a problem that requires attention from the government especially in developing countries such as Indonesia. This Research takes Place at Kasembon District because it has 53,19% family below poverty line in the region. The purpose of this research is to measure poverty based on 3 poverty indicators published by World Bank and 1 multidimensional poverty index. Furthermore, this research invesitigas the relationship between poverty with social and infrastructure in Kasembon District. This study using social network analysis, hot spots analysis, and regression analysis with ordinary least squares. From the poverty indicators known that Pondokagung Village has the highest poverty rate compared to another region. Results from regression model indicate that social and infrastructure affecting poverty in Kasembon District. Social parameter that affecting poverty is density. Infrastructure parameter that affecting poverty is length of paved road. Coefficient value of density is the largest in the model. Therefore it can be concluded that social factors can give more opportunity to reduce poverty rates in Kasembon District. In the local model of paved road coefficient, it is known that the coefficient for each village has not much different value from the global model.

  18. WRF4G project: Adaptation of WRF Model to Distributed Computing Infrastructures

    NASA Astrophysics Data System (ADS)

    Cofino, Antonio S.; Fernández Quiruelas, Valvanuz; García Díez, Markel; Blanco Real, Jose C.; Fernández, Jesús

    2013-04-01

    Nowadays Grid Computing is powerful computational tool which is ready to be used for scientific community in different areas (such as biomedicine, astrophysics, climate, etc.). However, the use of this distributed computing infrastructures (DCI) is not yet common practice in climate research, and only a few teams and applications in this area take advantage of this infrastructure. Thus, the first objective of this project is to popularize the use of this technology in the atmospheric sciences area. In order to achieve this objective, one of the most used applications has been taken (WRF; a limited- area model, successor of the MM5 model), that has a user community formed by more than 8000 researchers worldwide. This community develop its research activity on different areas and could benefit from the advantages of Grid resources (case study simulations, regional hind-cast/forecast, sensitivity studies, etc.). The WRF model is been used as input by many energy and natural hazards community, therefore those community will also benefit. However, Grid infrastructures have some drawbacks for the execution of applications that make an intensive use of CPU and memory for a long period of time. This makes necessary to develop a specific framework (middleware). This middleware encapsulates the application and provides appropriate services for the monitoring and management of the jobs and the data. Thus, the second objective of the project consists on the development of a generic adaptation of WRF for Grid (WRF4G), to be distributed as open-source and to be integrated in the official WRF development cycle. The use of this WRF adaptation should be transparent and useful to face any of the previously described studies, and avoid any of the problems of the Grid infrastructure. Moreover it should simplify the access to the Grid infrastructures for the research teams, and also to free them from the technical and computational aspects of the use of the Grid. Finally, in order to

  19. A flexible framework for process-based hydraulic and water quality modeling of stormwater green infrastructure performance

    EPA Science Inventory

    Background Models that allow for design considerations of green infrastructure (GI) practices to control stormwater runoff and associated contaminants have received considerable attention in recent years. While popular, generally, the GI models are relatively simplistic. However,...

  20. A flexible framework for process-based hydraulic and water quality modeling of stormwater green infrastructure performance

    EPA Science Inventory

    Background Models that allow for design considerations of green infrastructure (GI) practices to control stormwater runoff and associated contaminants have received considerable attention in recent years. While popular, generally, the GI models are relatively simplistic. However,...

  1. Breakdown of interdependent directed networks

    PubMed Central

    Liu, Xueming; Stanley, H. Eugene; Gao, Jianxi

    2016-01-01

    Increasing evidence shows that real-world systems interact with one another via dependency connectivities. Failing connectivities are the mechanism behind the breakdown of interacting complex systems, e.g., blackouts caused by the interdependence of power grids and communication networks. Previous research analyzing the robustness of interdependent networks has been limited to undirected networks. However, most real-world networks are directed, their in-degrees and out-degrees may be correlated, and they are often coupled to one another as interdependent directed networks. To understand the breakdown and robustness of interdependent directed networks, we develop a theoretical framework based on generating functions and percolation theory. We find that for interdependent Erdős–Rényi networks the directionality within each network increases their vulnerability and exhibits hybrid phase transitions. We also find that the percolation behavior of interdependent directed scale-free networks with and without degree correlations is so complex that two criteria are needed to quantify and compare their robustness: the percolation threshold and the integrated size of the giant component during an entire attack process. Interestingly, we find that the in-degree and out-degree correlations in each network layer increase the robustness of interdependent degree heterogeneous networks that most real networks are, but decrease the robustness of interdependent networks with homogeneous degree distribution and with strong coupling strengths. Moreover, by applying our theoretical analysis to real interdependent international trade networks, we find that the robustness of these real-world systems increases with the in-degree and out-degree correlations, confirming our theoretical analysis. PMID:26787907

  2. Modeling the Hydrologic Effects of Large-Scale Green Infrastructure Projects with GIS

    NASA Astrophysics Data System (ADS)

    Bado, R. A.; Fekete, B. M.; Khanbilvardi, R.

    2015-12-01

    Impervious surfaces in urban areas generate excess runoff, which in turn causes flooding, combined sewer overflows, and degradation of adjacent surface waters. Municipal environmental protection agencies have shown a growing interest in mitigating these effects with 'green' infrastructure practices that partially restore the perviousness and water holding capacity of urban centers. Assessment of the performance of current and future green infrastructure projects is hindered by the lack of adequate hydrological modeling tools; conventional techniques fail to account for the complex flow pathways of urban environments, and detailed analyses are difficult to prepare for the very large domains in which green infrastructure projects are implemented. Currently, no standard toolset exists that can rapidly and conveniently predict runoff, consequent inundations, and sewer overflows at a city-wide scale. We demonstrate how streamlined modeling techniques can be used with open-source GIS software to efficiently model runoff in large urban catchments. Hydraulic parameters and flow paths through city blocks, roadways, and sewer drains are automatically generated from GIS layers, and ultimately urban flow simulations can be executed for a variety of rainfall conditions. With this methodology, users can understand the implications of large-scale land use changes and green/gray storm water retention systems on hydraulic loading, peak flow rates, and runoff volumes.

  3. A model for assessing habitat fragmentation caused by new infrastructures in extensive territories - evaluation of the impact of the Spanish strategic infrastructure and transport plan.

    PubMed

    Mancebo Quintana, S; Martín Ramos, B; Casermeiro Martínez, M A; Otero Pastor, I

    2010-05-01

    The aim of the present work is to design a model for evaluating the impact of planned infrastructures on species survival at the territorial scale by calculating a connectivity index. The method developed involves determining the effective distance of displacement between patches of the same habitat, simplifying earlier models so that there is no dependence on specific variables for each species. A case study is presented in which the model was used to assess the impact of the forthcoming roads and railways included in the Spanish Strategic Infrastructure and Transport Plan (PEIT, in its Spanish initials). This study took into account the habitats of peninsular Spain, which occupies an area of some 500,000 km(2). In this territory, the areas deemed to provide natural habitats are defined by Directive 92/43/EEC. The impact of new infrastructures on connectivity was assessed by comparing two scenarios, with and without the plan, for the major new road and railway networks. The calculation of the connectivity index (CI) requires the use of a raster methodology based on the Arc/Info geographical information system (GIS). The actual calculation was performed using a program written in Arc/Info Macro Language (AML); this program is available in FragtULs (Mancebo Quintana, 2007), a set of tools for calculating indicators of fragmentation caused by transport infrastructure (http://topografia.montes.upm.es/fragtuls.html). The indicator of connectivity proposed allows the estimation of the connectivity between all the patches of a territory, with no artificial (non-ecologically based) boundaries imposed. The model proposed appears to be a useful tool for the analysis of fragmentation caused by plans for large territories. Copyright 2009 Elsevier Ltd. All rights reserved.

  4. Associations of Emotional Distress and Perceived Health in Persons With Atrial Fibrillation and Their Partners Using the Actor-Partner Interdependence Model.

    PubMed

    Dalteg, Tomas; Benzein, Eva; Sandgren, Anna; Malm, Dan; Årestedt, Kristofer

    2016-08-01

    Individual behavior affects and is affected by other people. The aim of this study was to examine if emotional distress in patients with atrial fibrillation (AF) and their spouses was associated with their own and their partner's perceived health. Participants included 91 dyads of patients and their spouses. Emotional distress was measured using the Hospital Anxiety and Depression Scale and perceived health was measured with the Short Form 36 Health Survey. The Actor-Partner Interdependence Model was used for dyad-level analyses of associations, using structural equation modeling. Higher levels of anxiety and depression were associated with lower levels of perceived health in patients and spouses. Higher levels of depression in patients were associated with lower levels of vitality in spouses and vice versa. As AF patients and their spouses influence each other, health-care interventions should consider the dyad to address dyadic dynamics. This may benefit the health of the individual patient and of the couple. © The Author(s) 2016.

  5. Applying Input-Output Model to Estimate Broader Economic Impact of Transportation Infrastructure Investment

    NASA Astrophysics Data System (ADS)

    Anas, Ridwan; Tamin, Ofyar; Wibowo, Sony S.

    2016-09-01

    The purpose of this study is to identify the relationships between infrastructure improvement and economic growth in the surrounding region. Traditionally, microeconomic and macroeconomic analyses are the mostly used tools for analyzing the linkage between transportation sectors and economic growth but offer little clues to the mechanisms linking transport improvements and the broader economy impacts. This study will estimate the broader economic benefits of the new transportation infrastructure investment, Cipularangtollway in West Java province, Indonesia, to the region connected (Bandung district) using Input-Output model. The result show the decrease of freight transportation costs by at 17 % and the increase of 1.2 % of Bandung District's GDP after the operation of Cipularangtollway.

  6. A model for achieving total quality-management information technology infrastructure within an integrated delivery system.

    PubMed

    Tan, J K

    1998-11-01

    The strategic development and deployment of a health management information technology infrastructure is discussed from two perspectives for radiologists and for other medical technologists: the integrated delivery system (IDS) perspective and a total quality-management (TQM) perspective. On the one hand, an IDS perspective is important because of the need to prepare radiologists and other medical practitioners to thrive within rapidly changing health organizational models and evolving health service delivery partnership systems. On the other, a TQM perspective is important due to the need to realize an appropriate, efficient, and cost-effective health information infrastructure for developing seamless, integrated radiological and other medical imaging services. Apart from intelligently pursuing an aligned organizational business strategy with the organizational information system strategy, senior radiological managers and medical technologists of health organizations need to pay particular attention to key quality principles for effecting changes in organizational structures and processes to fit changes in information technological requirements, implementations, and innovations.

  7. Structural interdependence in teams: An integrative framework and meta-analysis.

    PubMed

    Courtright, Stephen H; Thurgood, Gary R; Stewart, Greg L; Pierotti, Abigail J

    2015-11-01

    Although interdependence is a central aspect of team design, there has been a lack of clarity regarding the meaning and impact of different forms of interdependence. To provide theoretical clarity and to advance research on team interdependence, we develop an organizing, conceptual framework of interdependence in teams and test it using meta-analysis. We first review and tie together different conceptualizations of interdependence in the literature and illustrate how they converge around 2 major constructs: task interdependence and outcome interdependence. After providing integrative definitions of these forms of interdependence, as well as subdimensions, we then explore the relative effects of task and outcome interdependence on team functioning and performance. Specifically, we propose a pattern of differential effects in which task interdependence is primarily associated with team performance through its effects on task-focused team functioning (i.e., transition/action processes, collective efficacy), whereas outcome interdependence is primarily associated with team performance through its effects on relational team functioning (i.e., interpersonal processes, cohesion). We test these differential effects using a meta-analytic database of 107 independent samples and 7,563 teams. The meta-analytic path model provides strong support for our hypotheses. Implications and future directions for the study of interdependence in work teams are discussed. (c) 2015 APA, all rights reserved).

  8. Forecasting International Interdependence and Conflict.

    DTIC Science & Technology

    1980-06-30

    market by the likes of multinational corporations , and, in some cases, by the state itself. This opposing school would argue that while the importance...and the phenomenon-interdependence, are related. The openness of interdependent nations to comunications and many other transmitters of culture, as...vulnerabilities that go with par- ticipation. Also ignored are multinational corporations and their effects on home and host country economies, international

  9. ENES the European Network for Earth System modelling and its infrastructure projects IS-ENES

    NASA Astrophysics Data System (ADS)

    Guglielmo, Francesca; Joussaume, Sylvie; Parinet, Marie

    2016-04-01

    The scientific community working on climate modelling is organized within the European Network for Earth System modelling (ENES). In the past decade, several European university departments, research centres, meteorological services, computer centres, and industrial partners engaged in the creation of ENES with the purpose of working together and cooperating towards the further development of the network, by signing a Memorandum of Understanding. As of 2015, the consortium counts 47 partners. The climate modelling community, and thus ENES, faces challenges which are both science-driven, i.e. analysing of the full complexity of the Earth System to improve our understanding and prediction of climate changes, and have multi-faceted societal implications, as a better representation of climate change on regional scales leads to improved understanding and prediction of impacts and to the development and provision of climate services. ENES, promoting and endorsing projects and initiatives, helps in developing and evaluating of state-of-the-art climate and Earth system models, facilitates model inter-comparison studies, encourages exchanges of software and model results, and fosters the use of high performance computing facilities dedicated to high-resolution multi-model experiments. ENES brings together public and private partners, integrates countries underrepresented in climate modelling studies, and reaches out to different user communities, thus enhancing European expertise and competitiveness. In this need of sophisticated models, world-class, high-performance computers, and state-of-the-art software solutions to make efficient use of models, data and hardware, a key role is played by the constitution and maintenance of a solid infrastructure, developing and providing services to the different user communities. ENES has investigated the infrastructural needs and has received funding from the EU FP7 program for the IS-ENES (InfraStructure for ENES) phase I and II

  10. The stock-flow model of spatial data infrastructure development refined by fuzzy logic.

    PubMed

    Abdolmajidi, Ehsan; Harrie, Lars; Mansourian, Ali

    2016-01-01

    The system dynamics technique has been demonstrated to be a proper method by which to model and simulate the development of spatial data infrastructures (SDI). An SDI is a collaborative effort to manage and share spatial data at different political and administrative levels. It is comprised of various dynamically interacting quantitative and qualitative (linguistic) variables. To incorporate linguistic variables and their joint effects in an SDI-development model more effectively, we suggest employing fuzzy logic. Not all fuzzy models are able to model the dynamic behavior of SDIs properly. Therefore, this paper aims to investigate different fuzzy models and their suitability for modeling SDIs. To that end, two inference and two defuzzification methods were used for the fuzzification of the joint effect of two variables in an existing SDI model. The results show that the Average-Average inference and Center of Area defuzzification can better model the dynamics of SDI development.

  11. Modeling the effect of urban infrastructure on hydrologic processes within i-Tree Hydro, a statistically and spatially distributed model

    NASA Astrophysics Data System (ADS)

    Taggart, T. P.; Endreny, T. A.; Nowak, D.

    2014-12-01

    Gray and green infrastructure in urban environments alters many natural hydrologic processes, creating an urban water balance unique to the developed environment. A common way to assess the consequences of impervious cover and grey infrastructure is by measuring runoff hydrographs. This focus on the watershed outlet masks the spatial variation of hydrologic process alterations across the urban environment in response to localized landscape characteristics. We attempt to represent this spatial variation in the urban environment using the statistically and spatially distributed i-Tree Hydro model, a scoping level urban forest effects water balance model. i-Tree Hydro has undergone expansion and modification to include the effect of green infrastructure processes, road network attributes, and urban pipe system leakages. These additions to the model are intended to increase the understanding of the altered urban hydrologic cycle by examining the effects of the location of these structures on the water balance. Specifically, the effect of these additional structures and functions on the spatially varying properties of interception, soil moisture and runoff generation. Differences in predicted properties and optimized parameter sets between the two models are examined and related to the recent landscape modifications. Datasets used in this study consist of watersheds and sewersheds within the Syracuse, NY metropolitan area, an urban area that has integrated green and gray infrastructure practices to alleviate stormwater problems.

  12. A research experience for American Indian undergraduates: Utilizing an actor-partner interdependence model to examine the student-mentor dyad.

    PubMed

    Griese, Emily R; McMahon, Tracey R; Kenyon, DenYelle Baete

    2017-03-01

    The majority of research examining Undergraduate Research Experiences focuses singularly on student-reported outcomes, often overlooking assessment of the mentor role in student learning and outcomes following these experiences. The goal of the current study was to examine the student-mentor dyad at the beginning and end of a 10-week summer research experience for American Indian undergraduates utilizing a series of actor-partner interdependence models within SEM. Participants included 26 undergraduate interns (50% American Indian; 50% American Indian and White; M age = 24) and 27 mentors (89% White; M age = 47). Findings indicated that in accounting for all potential paths between students and mentors, the partner path between mentor beliefs at the beginning of the program and students' skills related to autonomy (β =.59, p = .01) and academic resilience (β =.44, p = .03) at the end of the program were significant. These findings suggest the important impact of mentor beliefs on student outcomes, a relationship that should be adequately assessed and continue to be important focus of undergraduate research experiences. Findings further indicate the important role of mentors for American Indian undergraduates.

  13. An Actor-Partner Interdependence Model of Acquired Brain Injury Patient Impairments and Caregiver Psychosocial Functioning: A Dyadic-Report, Multinational Study.

    PubMed

    Perrin, Paul B; Norup, Anne; Caracuel, Alfonso; Bateman, Andrew; Tjørnlund, Morten; Arango-Lasprilla, Juan Carlos

    2017-03-01

    The purpose of this study was to use actor-partner interdependence modeling (APIM) to examine the simultaneous effects of both acquired brain injury (ABI) patient and caregiver ratings of patient impairments on both patient and caregiver ratings of caregiver psychosocial dysfunction. A sample of 968 individuals with ABI and their caregivers (n = 1,936) from 4 countries completed the European Brain Injury Questionnaire, a measure of ABI impairments and caregiver psychosocial functioning in the context of providing care for the person with ABI. An APIM with all adequate or good fit indices found that patient ratings of their own impairments in the domains of social disadaptation and depression were uniquely and positively associated with patient ratings of caregiver psychosocial dysfunction, yet none of the patient ratings of their own impairments were uniquely associated with caregiver ratings of caregiver psychosocial dysfunction. Caregiver ratings of patient impairments across all 3 domains (cognition, social disadaptation, and depression) were uniquely and positively associated with caregiver ratings of caregiver psychosocial dysfunction. Yet only caregiver ratings of patient social disadaptation were uniquely and positively associated with patient ratings of caregiver psychosocial dysfunction. These findings suggest that caregivers' views of ABI patients' impairments are likely much more associated with caregiver psychosocial functioning than are patients' views of their own impairments, pointing to caregivers' interpretations of their patients' impairments as a primary target for cognitive behavioral interventions. © 2016 Wiley Periodicals, Inc.

  14. Actor-Partner Interdependence Model Analysis of Sexual Communication and Relationship/Family Planning Factors Among Immigrant Latino Couples in the United States.

    PubMed

    Matsuda, Yui

    2017-05-01

    The Latino population in the United States is quickly growing, and its unintended pregnancy rate is increasing. To decrease unintended pregnancies, couples must mutually agree on family planning. Communication between partners is one key factor identified in successful family planning for couples. Therefore, the purpose of this study was to examine sexual communication and its associations with sexual relationship power, general communication, and views on family planning. The Actor-Partner Interdependence Model was used to analyze dyadic influences of the chosen variables. Forty immigrant Latino couples were recruited from prenatal care clinics. The study results were grouped according to the three types of power structures: exhibition of men's traditional machismo values, exhibition of women's increased power in their relationships, and exhibition of men's and women's own empowerment with sexual communication. There was a negative association between men's views on family planning and women's sexual communication (exhibition of machismo values); a negative association between women's sexual relationship power and their partners' sexual communication (exhibition of women's increased power); and positive associations between men's and women's general communication and sexual communication (exhibition of men's and women's own empowerment). Dyadic influences of sexual communication and associated variables need to be incorporated into interventions to facilitate family planning for couples.

  15. What Are the Effects of Science Lesson Planning in Peers?—Analysis of Attitudes and Knowledge Based on an Actor-Partner Interdependence Model

    NASA Astrophysics Data System (ADS)

    Smit, Robbert; Rietz, Florian; Kreis, Annelies

    2017-04-01

    This study focuses on the effects of collaborative lesson planning by science pre-service teachers on their attitudes and knowledge. In our study, 120 pre-service teachers discussed a preparation for a science inquiry lesson in dyads. The teacher with the lesson preparation had the role of the coachee, while the other was the coach. We investigated the following research questions: (1) Does learning occur between the two peers? and (2) Is the competency in lesson planning affected by the attitude and knowledge of coach and coachee? Based on an actor-partner interdependence model (APIM), we could clarify the relations of pedagogical content knowledge (PCK) and attitudes (ATT) between and within the dyads of coach and coachee, as well as their development over time. Furthermore, the APIM allowed the inclusion of a mediator (lesson planning competency). Both PCK and ATT increased slightly but significantly during our project. ATT and PCK seemed to converge between coach and coachee at the end of the project. However, we could not find any cross-lagged effects, meaning there was no effect of coach on coachee or vice versa over time. Further, preceding PCK showed a significant effect on the competency of lesson planning, but planning competency did not influence succeeding PCK or attitude. Finally, these results are discussed with respect to science teacher education.

  16. Sense making and benefit finding in couples who have a child with Asperger syndrome: an application of the Actor-Partner Interdependence Model.

    PubMed

    Samios, Christina; Pakenham, Kenneth I; Sofronoff, Kate

    2012-05-01

    Parents of children with Asperger syndrome face many challenges that may lead them to search for meaning by developing explanations for (sense making) and finding benefits (benefit finding) in having a child with special needs. Although family theorists have proposed that finding meaning occurs interpersonally, there is a dearth of empirical research that has examined finding meaning at the couple level. This study examined sense making and benefit finding in 84 couples who have a child with Asperger syndrome by using the Actor-Partner Interdependence Model (Kenny et al., 2006) to examine actor effects (i.e. the extent to which an individual's score on the predictor variable impacts his or her own level of adjustment) and partner effects (i.e. the extent to which an individual's score on the predictor variable has an impact on his or her partner's level of adjustment) of sense making and benefit finding on parental adjustment. Results demonstrated that parents' benefit finding related to greater anxiety and parents' sense making related to not only their own adjustment but also their partner's adjustment. Results highlight the importance of adopting an interpersonal perspective on finding meaning and adjustment. Limitations, future research and clinical implications are also discussed.

  17. Optimization of cascade-resilient electrical infrastructures and its validation by power flow modeling.

    PubMed

    Fang, Yiping; Pedroni, Nicola; Zio, Enrico

    2015-04-01

    Large-scale outages on real-world critical infrastructures, although infrequent, are increasingly disastrous to our society. In this article, we are primarily concerned with power transmission networks and we consider the problem of allocation of generation to distributors by rewiring links under the objectives of maximizing network resilience to cascading failure and minimizing investment costs. The combinatorial multiobjective optimization is carried out by a nondominated sorting binary differential evolution (NSBDE) algorithm. For each generators-distributors connection pattern considered in the NSBDE search, a computationally cheap, topological model of failure cascading in a complex network (named the Motter-Lai [ML] model) is used to simulate and quantify network resilience to cascading failures initiated by targeted attacks. The results on the 400 kV French power transmission network case study show that the proposed method allows us to identify optimal patterns of generators-distributors connection that improve cascading resilience at an acceptable cost. To verify the realistic character of the results obtained by the NSBDE with the embedded ML topological model, a more realistic but also more computationally expensive model of cascading failures is adopted, based on optimal power flow (namely, the ORNL-Pserc-Alaska) model). The consistent results between the two models provide impetus for the use of topological, complex network theory models for analysis and optimization of large infrastructures against cascading failure with the advantages of simplicity, scalability, and low computational cost.

  18. Modeling the infrastructure dynamics of China -- Water, agriculture, energy, and greenhouse gases

    SciTech Connect

    Conrad, S.H.; Drennen, T.E.; Engi, D.; Harris, D.L.; Jeppesen, D.M.; Thomas, R.P.

    1998-08-01

    A comprehensive critical infrastructure analysis of the People`s Republic of China was performed to address questions about China`s ability to meet its long-term grain requirements and energy needs and to estimate greenhouse gas emissions in China likely to result from increased agricultural production and energy use. Four dynamic computer simulation models of China`s infrastructures--water, agriculture, energy and greenhouse gas--were developed to simulate, respectively, the hydrologic budgetary processes, grain production and consumption, energy demand, and greenhouse gas emissions in China through 2025. The four models were integrated into a state-of-the-art comprehensive critical infrastructure model for all of China. This integrated model simulates diverse flows of commodities, such as water and greenhouse gas, between the separate models to capture the overall dynamics of the integrated system. The model was used to generate projections of China`s available water resources and expected water use for 10 river drainage regions representing 100% of China`s mean annual runoff and comprising 37 major river basins. These projections were used to develop estimates of the water surpluses and/or deficits in the three end-use sectors--urban, industrial, and agricultural--through the year 2025. Projections of the all-China demand for the three major grains (corn, wheat, and rice), meat, and other (other grains and fruits and vegetables) were also generated. Each geographic region`s share of the all-China grain demand (allocated on the basis of each region`s share of historic grain production) was calculated in order to assess the land and water resources in each region required to meet that demand. Growth in energy use in six historically significant sectors and growth in greenhouse gas loading were projected for all of China.

  19. Robust-yet-fragile nature of interdependent networks

    NASA Astrophysics Data System (ADS)

    Tan, Fei; Xia, Yongxiang; Wei, Zhi

    2015-05-01

    Interdependent networks have been shown to be extremely vulnerable based on the percolation model. Parshani et al. [Europhys. Lett. 92, 68002 (2010), 10.1209/0295-5075/92/68002] further indicated that the more intersimilar networks are, the more robust they are to random failures. When traffic load is considered, how do the coupling patterns impact cascading failures in interdependent networks? This question has been largely unexplored until now. In this paper, we address this question by investigating the robustness of interdependent Erdös-Rényi random graphs and Barabási-Albert scale-free networks under either random failures or intentional attacks. It is found that interdependent Erdös-Rényi random graphs are robust yet fragile under either random failures or intentional attacks. Interdependent Barabási-Albert scale-free networks, however, are only robust yet fragile under random failures but fragile under intentional attacks. We further analyze the interdependent communication network and power grid and achieve similar results. These results advance our understanding of how interdependency shapes network robustness.

  20. Emotional Interdependence and Well-Being in Close Relationships

    PubMed Central

    Sels, Laura; Ceulemans, Eva; Bulteel, Kirsten; Kuppens, Peter

    2016-01-01

    Emotional interdependence—here defined as partners’ emotions being linked to each other across time—is often considered a key characteristic of healthy romantic relationships. But is this actually the case? We conducted an experience-sampling study with 50 couples indicating their feelings 10 times a day for 7 days and modeled emotional interdependence for each couple separately taking a dyadographic approach. The majority of couples (64%) did not demonstrate strong signs of emotional interdependence, and couples that did, showed great inter-dyad differences in their specific patterns. Individuals from emotionally more interdependent couples reported higher individual well-being than individuals from more independent couples in terms of life satisfaction but not depression. Relational well-being was not (relationship satisfaction) or even negatively (empathic concern) related to the degree of emotional interdependence. Especially driving the emotions of the partner (i.e., sender effects) accounted for these associations, opposed to following the emotions of the partner (i.e., receiver effects). Additionally, assessing emotional interdependence for positive and negative emotions separately elucidated that primarily emotional interdependence for positive emotions predicted more self-reported life satisfaction and less empathic concern. These findings highlight the existence of large inter-dyad differences, explore relationships between emotional interdependence and key well-being variables, and demonstrate differential correlates for sending and receiving emotions. PMID:27014114

  1. Report on three Genomes to Life Workshops: Data Infrastructure, Modeling and Simulation, and Protein Structure Prediction

    SciTech Connect

    Geist, GA

    2003-09-16

    On July 22, 23, 24, 2003, three one day workshops were held in Gaithersburg, Maryland. Each was attended by about 30 computational biologists, mathematicians, and computer scientists who were experts in the respective workshop areas The first workshop discussed the data infrastructure needs for the Genomes to Life (GTL) program with the objective to identify gaps in the present GTL data infrastructure and define the GTL data infrastructure required for the success of the proposed GTL facilities. The second workshop discussed the modeling and simulation needs for the next phase of the GTL program and defined how these relate to the experimental data generated by genomics, proteomics, and metabolomics. The third workshop identified emerging technical challenges in computational protein structure prediction for DOE missions and outlining specific goals for the next phase of GTL. The workshops were attended by representatives from both OBER and OASCR. The invited experts at each of the workshops made short presentations on what they perceived as the key needs in the GTL data infrastructure, modeling and simulation, and structure prediction respectively. Each presentation was followed by a lively discussion by all the workshop attendees. The following findings and recommendations were derived from the three workshops. A seamless integration of GTL data spanning the entire range of genomics, proteomics, and metabolomics will be extremely challenging but it has to be treated as the first-class component of the GTL program to assure GTL's chances for success. High-throughput GTL facilities and ultrascale computing will make it possible to address the ultimate goal of modern biology: to achieve a fundamental, comprehensive, and systematic understanding of life. But first the GTL community needs to address the problem of the massive quantities and increased complexity of biological data produced by experiments and computations. Genome-scale collection, analysis

  2. Security Analysis of Smart Grid Cyber Physical Infrastructures Using Modeling and Game Theoretic Simulation

    SciTech Connect

    Abercrombie, Robert K; Sheldon, Frederick T.

    2015-01-01

    Cyber physical computing infrastructures typically consist of a number of sites are interconnected. Its operation critically depends both on cyber components and physical components. Both types of components are subject to attacks of different kinds and frequencies, which must be accounted for the initial provisioning and subsequent operation of the infrastructure via information security analysis. Information security analysis can be performed using game theory implemented in dynamic Agent Based Game Theoretic (ABGT) simulations. Such simulations can be verified with the results from game theory analysis and further used to explore larger scale, real world scenarios involving multiple attackers, defenders, and information assets. We concentrated our analysis on the electric sector failure scenarios and impact analyses by the NESCOR Working Group Study, From the Section 5 electric sector representative failure scenarios; we extracted the four generic failure scenarios and grouped them into three specific threat categories (confidentiality, integrity, and availability) to the system. These specific failure scenarios serve as a demonstration of our simulation. The analysis using our ABGT simulation demonstrates how to model the electric sector functional domain using a set of rationalized game theoretic rules decomposed from the failure scenarios in terms of how those scenarios might impact the cyber physical infrastructure network with respect to CIA.

  3. Infrastructure requirement of knowledge management system model of statistical learning tool (SLT) for education community

    NASA Astrophysics Data System (ADS)

    Abdullah, Rusli; Samah, Bahaman Abu; Bolong, Jusang; D'Silva, Jeffrey Lawrence; Shaffril, Hayrol Azril Mohamed

    2014-09-01

    Today, teaching and learning (T&L) using technology as tool is becoming more important especially in the field of statistics as a part of the subject matter in higher education system environment. Eventhough, there are many types of technology of statistical learnig tool (SLT) which can be used to support and enhance T&L environment, however, there is lack of a common standard knowledge management as a knowledge portal for guidance especially in relation to infrastructure requirement of SLT in servicing the community of user (CoU) such as educators, students and other parties who are interested in performing this technology as a tool for their T&L. Therefore, there is a need of a common standard infrastructure requirement of knowledge portal in helping CoU for managing of statistical knowledge in acquiring, storing, desseminating and applying of the statistical knowedge for their specific purposes. Futhermore, by having this infrastructure requirement of knowledge portal model of SLT as a guidance in promoting knowledge of best practise among the CoU, it can also enhance the quality and productivity of their work towards excellence of statistical knowledge application in education system environment.

  4. Green infrastructure retrofits on residential parcels: Ecohydrologic modeling for stormwater design

    NASA Astrophysics Data System (ADS)

    Miles, B.; Band, L. E.

    2014-12-01

    To meet water quality goals stormwater utilities and not-for-profit watershed organizations in the U.S. are working with citizens to design and implement green infrastructure on residential land. Green infrastructure, as an alternative and complement to traditional (grey) stormwater infrastructure, has the potential to contribute to multiple ecosystem benefits including stormwater volume reduction, carbon sequestration, urban heat island mitigation, and to provide amenities to residents. However, in small (1-10-km2) medium-density urban watersheds with heterogeneous land cover it is unclear whether stormwater retrofits on residential parcels significantly contributes to reduce stormwater volume at the watershed scale. In this paper, we seek to improve understanding of how small-scale redistribution of water at the parcel scale as part of green infrastructure implementation affects urban water budgets and stormwater volume across spatial scales. As study sites we use two medium-density headwater watersheds in Baltimore, MD and Durham, NC. We develop ecohydrology modeling experiments to evaluate the effectiveness of redirecting residential rooftop runoff to un-altered pervious surfaces and to engineered rain gardens to reduce stormwater runoff. As baselines for these experiments, we performed field surveys of residential rooftop hydrologic connectivity to adjacent impervious surfaces, and found low rates of connectivity. Through simulations of pervasive adoption of downspout disconnection to un-altered pervious areas or to rain garden stormwater control measures (SCM) in these catchments, we find that most parcel-scale changes in stormwater fate are attenuated at larger spatial scales and that neither SCM alone is likely to provide significant changes in streamflow at the watershed scale.

  5. Wildlife mortality from infrastructure collisions: statistical modeling of count data from carcass surveys.

    PubMed

    Stevens, Bryan S; Dennis, Brian

    2013-09-01

    Anthropogenic infrastructure is a mortality source for many vertebrate species. Mortality is often measured using periodic counts of carcasses or remains at infrastructure segments, and bias from carcass removal is estimated via field experiments with wildlife carcasses. We describe a model for combining removal experiment and carcass count data to estimate underlying process parameters using joint likelihood. In the model, the instantaneous number of carcasses present is a stochastic birth-death process with Poisson arrivals (carcass addition) and proportional deaths (removal of carcasses). The approach accommodates modeling heterogeneity in the addition and removal processes using generalized regression. Results of fitting the model to a Greater Sage-Grouse (Centrocercus urophasianus) fence collision data set show that order of magnitude differences in expected carcass counts can be a function of spatial differences in removal and suggest caution for interpretation of many published studies. While the model assumption of negligible detection error may be tenable for some systems, the modeling framework provides a starting point for future state-space versions incorporating detection error.

  6. Resource modelling for control: how hydrogeological modelling can support a water quality monitoring infrastructure

    NASA Astrophysics Data System (ADS)

    Scozzari, Andrea; Doveri, Marco

    2015-04-01

    The knowledge of the physical/chemical processes implied with the exploitation of water bodies for human consumption is an essential tool for the optimisation of the monitoring infrastructure. Due to their increasing importance in the context of human consumption (at least in the EU), this work focuses on groundwater resources. In the framework of drinkable water networks, the physical and data-driven modelling of transport phenomena in groundwater can help optimising the sensor network and validating the acquired data. This work proposes the combined usage of physical and data-driven modelling as a support to the design and maximisation of results from a network of distributed sensors. In particular, the validation of physico-chemical measurements and the detection of eventual anomalies by a set of continuous measurements take benefit from the knowledge of the domain from which water is abstracted, and its expected characteristics. Change-detection techniques based on non-specific sensors (presented by quite a large literature during the last two decades) have to deal with the classical issues of maximising correct detections and minimising false alarms, the latter of the two being the most typical problem to be faced, in the view of designing truly applicable monitoring systems. In this context, the definition of "anomaly" in terms of distance from an expected value or feature characterising the quality of water implies the definition of a suitable metric and the knowledge of the physical and chemical peculiarities of the natural domain from which water is exploited, with its implications in terms of characteristics of the water resource.

  7. Interdependence of chronic hydraulic dysfunction and canopy processes can improve integrated models of tree response to drought

    NASA Astrophysics Data System (ADS)

    Mackay, D. Scott; Roberts, David E.; Ewers, Brent E.; Sperry, John S.; McDowell, Nathan G.; Pockman, William T.

    2015-08-01

    Hydraulic systems of plants have evolved in the context of carbon allocation and fitness trade-offs of maximizing carbon gain and water transport in the face of short and long-term fluctuations in environmental conditions. The resulting diversity of traits include a continuum of isohydry-anisohydry or high to low relative stomatal closure during drought, shedding of canopy foliage or disconnecting roots from soil to survive drought, and adjusting root areas to efficiently manage canopy water costs associated with photosynthesis. These traits are examined within TREES, an integrated model that explicitly couples photosynthesis and carbon allocation to soil-plant hydraulics and canopy processes. Key advances of the model are its ability to account for differences in soil and xylem cavitation, transience of hydraulic impairment associated with delayed or no refilling of xylem, and carbon allocation to plant structures based on photosynthetic uptake of carbon and hydraulic limitations to water transport. The model was used to examine hydraulic traits of cooccurring isohydric (piñon pine) and anisohydric (one-seed juniper) trees from a field-based experimental drought. Model predictions of both transpiration and leaf water potential were improved when there was no refilling of xylem over simulations where xylem was able refill in response to soil water recharge. Model experiments with alternative root-to-leaf area ratios (RR/L) showed the RR/L that supports maximum cumulative water use is not beneficial for supporting maximum carbon gain during extended drought, illustrating how a process model reveals trade-offs in plant traits.

  8. Interdependent networks: the fragility of control

    PubMed Central

    Morris, Richard G.; Barthelemy, Marc

    2013-01-01

    Recent work in the area of interdependent networks has focused on interactions between two systems of the same type. However, an important and ubiquitous class of systems are those involving monitoring and control, an example of interdependence between processes that are very different. In this Article, we introduce a framework for modelling ‘distributed supervisory control' in the guise of an electrical network supervised by a distributed system of control devices. The system is characterised by degrees of freedom salient to real-world systems— namely, the number of control devices, their inherent reliability, and the topology of the control network. Surprisingly, the behavior of the system depends crucially on the reliability of control devices. When devices are completely reliable, cascade sizes are percolation controlled; the number of devices being the relevant parameter. For unreliable devices, the topology of the control network is important and can dramatically reduce the resilience of the system. PMID:24067404

  9. The Interdependence of the Factors Influencing the Perceived Quality of the Online Learning Experience: A Causal Model

    ERIC Educational Resources Information Center

    Peltier, James W.; Schibrowsky, John A.; Drago, William

    2007-01-01

    A structural model of the drivers of online education is proposed and tested. The findings help to identify the interrelated nature of the lectures delivered via technology outside of the traditional classroom, the importance of mentoring, the need to develop course structure, the changing roles for instructors and students, and the importance of…

  10. The interdependent contributions of gravitational and structural features to perfusion distribution in a multiscale model of the pulmonary circulation

    PubMed Central

    Tawhai, M. H.; Hoffman, E. A.; Burrowes, K. S.

    2011-01-01

    Recent experimental and imaging studies suggest that the influence of gravity on the measured distribution of blood flow in the lung is largely through deformation of the parenchymal tissue. To study the contribution of hydrostatic effects to regional perfusion in the presence of tissue deformation, we have developed an anatomically structured computational model of the pulmonary circulation (arteries, capillaries, veins), coupled to a continuum model of tissue deformation, and including scale-appropriate fluid dynamics for blood flow in each vessel type. The model demonstrates that both structural and the multiple effects of gravity on the pulmonary circulation make a distinct contribution to the distribution of blood. It shows that postural differences in perfusion gradients can be explained by the combined effect of tissue deformation and extra-acinar blood vessel resistance to flow in the dependent tissue. However, gravitational perfusion gradients persist when the effect of tissue deformation is eliminated, highlighting the importance of the hydrostatic effects of gravity on blood distribution in the pulmonary circulation. Coupling of large- and small-scale models reveals variation in microcirculatory driving pressures within isogravitational planes due to extra-acinar vessel resistance. Variation in driving pressures is due to heterogeneous large-vessel resistance as a consequence of geometric asymmetry in the vascular trees and is amplified by the complex balance of pressures, distension, and flow at the microcirculatory level. PMID:21292845

  11. The Interdependence of the Factors Influencing the Perceived Quality of the Online Learning Experience: A Causal Model

    ERIC Educational Resources Information Center

    Peltier, James W.; Schibrowsky, John A.; Drago, William

    2007-01-01

    A structural model of the drivers of online education is proposed and tested. The findings help to identify the interrelated nature of the lectures delivered via technology outside of the traditional classroom, the importance of mentoring, the need to develop course structure, the changing roles for instructors and students, and the importance of…

  12. Estimating nonlinear interdependences in dynamical systems using cellular nonlinear networks

    NASA Astrophysics Data System (ADS)

    Krug, Dieter; Osterhage, Hannes; Elger, Christian E.; Lehnertz, Klaus

    2007-10-01

    We propose a method for estimating nonlinear interdependences between time series using cellular nonlinear networks. Our approach is based on the nonlinear dynamics of interacting nonlinear elements. We apply it to time series of coupled nonlinear model systems and to electroencephalographic time series from an epilepsy patient, and we show that an accurate approximation of symmetric and asymmetric realizations of a nonlinear interdependence measure can be achieved, thus allowing one to detect the strength and direction of couplings.

  13. Integrating data on radiative forcing from Research Infrastructures for Climate Modelling

    NASA Astrophysics Data System (ADS)

    Kutsch, Werner Leo

    2017-04-01

    The interoperability between Observational and Climate Modeling Environmental Research Infrastructures will be further developed in the framework of the European Open Science Cloud. The scientific focus will be on dynamics of greenhouse gases, aerosols and clouds and their role in radiative forcing. The technical focus will be on: • improvement of data integration services based on metadata ontologies, • model-data integration by use of HPC, • innovative services to compile and compare model output from different sources, especially on semi-automatic spatiotemporal scale conversion. The capacity requirements to connect the (relatively) heterogeneous in-situ data systems from ICOS and ACTRIS to the IS-ENES2 climate data systems will be estimated. The aim is to provide two-way automated interactivity, i.e. climate model data users can get relevant (climatological or specific-time) observations, and the in-situ data users can access to relevant climate model data sets.

  14. Interdependence and life care planning.

    PubMed

    Condeluci, A; Gooden-Ledbetter, M; Walker, C; Porro, J M

    1998-01-01

    Today's society is more litigant in accidental injury occurrences. With many injuries involving children, malpractice suits have resulted in an influx of information and rehabilitation supports. To address the growing need for legal representation in life care planning for injured persons, this easily understood tool provides the injured party with a viable approach to community interdependence and inclusion. Contrary to the conventionally medical model, where the person with a disability is viewed as needing 'fixed', this approach examines culture, community and the long term effects of disability. The individual with a disability is seen and understood within four aspects of personhood: capacities, gifts and passions; inclusive relationships; personal involvement; and understanding their culture and community. This life care planning process examines five eras in one's life cycle: formative/school age years, early work years, later work years, and retirement years. The specific needs of the individual in each life era are examined and specific costs itemized. The provision of adequate services and supports affords tremendous opportunities and inclusion into the community.

  15. The effects of depressive symptoms and anxiety on quality of life in patients with heart failure and their spouses: testing dyadic dynamics using Actor-Partner Interdependence Model.

    PubMed

    Chung, Misook L; Moser, Debra K; Lennie, Terry A; Rayens, Mary Kay

    2009-07-01

    Depressive symptoms and anxiety are common in heart failure patients as well as their spousal caregivers. However, it is not known whether their emotional distress contributes to their partner's quality of life (QoL). This study examined the effect of patients' and partners' depressive symptoms and anxiety on QoL in patient-spouse dyads using an innovative dyadic analysis technique, the Actor-Partner Interdependence Model (APIM). A total of 58 dyads (patient: 43% in males, mean age 62 years, mean ejection fraction 34% +/-11, 43% in New York Heart Association III-IV) participated in the study. Depressive symptoms and anxiety were assessed using the Brief Symptom Inventory. QoL was assessed using the Minnesota Living with Heart Failure Questionnaire. Dyadic data were analyzed using the APIM with distinguishable dyad regression model. In APIM, actor effect is the impact of a person's emotional distress on his/her own QoL. Partner effect is the impact of a person's emotional distress on his/her partner's QoL. Depressive symptoms exhibited actor effect of both patients (P<.001) and spouses (P<.001) and only partner effect of patients (P<.05) on QoL. Patients and spouses with higher depressive symptoms had poorer QoL. Patients whose spouses had higher depressive symptoms were more likely to indicate their own QoL was poorer. Anxiety has similar actor and partner effects on QoL as depressive symptoms. Interventions to reduce depression and anxiety and to improve patients' QoL should include both patients and spouses.

  16. The effects of depressive symptoms and anxiety on quality of life in patients with heart failure and their spouses: Testing dyadic dynamics using Actor-Partner Interdependence Model

    PubMed Central

    Chung, Misook L.; Moser, Debra K.; Lennie, Terry A.; Rayens, Mary Kay

    2009-01-01

    Background Depressive symptoms and anxiety are common in heart failure patients as well as their spousal caregivers. However, it is not known whether their emotional distress contributes to their partner's quality of life (QoL). This study examined the effect of patients' and partners' depressive symptoms and anxiety on quality of life in patient-spouse dyads using an innovative dyadic analysis technique, the Actor-Partner Interdependence Model (APIM). Method A total of 58 dyads (patient: 43% in males, mean age 62 years, mean ejection fraction 34% ± 11, 43% in NYHA III-IV) participated in the study. Depressive symptoms and anxiety were assessed using the Brief Symptom Inventory. QoL was assessed using the Minnesota Living with Heart Failure Questionnaire. Dyadic data were analyzed using the APIM with distinguishable dyad regression model. In APIM, actor effect is the impact of a person's emotional distress on his/her own QoL. Partner effect is the impact of a person's emotional distress on his/her partner's QoL. Result Depressive symptoms exhibited actor effect of both patients (p <.001) and spouses (p < .001) and only partner effect of patients (p < .05) on QoL. Patients and spouses with higher depressive symptoms had poorer quality of life. Patients whose spouses had higher depressive symptoms were more likely to indicate their own quality of life was poorer. Anxiety has similar actor and partner effects on QoL as depressive symptoms. Conclusion Interventions to reduce depression and anxiety and to improve patients' quality of life should include both patients and spouses. PMID:19539816

  17. Modeling in architectural-planning solutions of agrarian technoparks as elements of the infrastructure

    NASA Astrophysics Data System (ADS)

    Abdrassilova, Gulnara S.

    2017-09-01

    In the context of development of the agriculture as the driver of the economy of Kazakhstan it is imperative to study new types of agrarian constructions (agroparks, agrotourists complexes, "vertical" farms, conservatories, greenhouses) that can be combined into complexes - agrarian technoparks. Creation of agrarian technoparks as elements of the infrastructure of the agglomeration shall ensure the breakthrough in the field of agrarian goods production, storing and recycling. Modeling of architectural-planning solutions of agrarian technoparks supports development of the theory and practice of designing objects based on innovative approaches.

  18. Measuring interdependence in ambulatory care.

    PubMed

    Katerndahl, David; Wood, Robert; Jaen, Carlos R

    2017-04-01

    Complex systems differ from complicated systems in that they are nonlinear, unpredictable and lacking clear cause-and-effect relationships, largely due to the interdependence of their components (effects of interconnectedness on system behaviour and consequences). The purpose of this study was to demonstrate the potential for network density to serve as a measure of interdependence, assess its concurrent validity and test whether the use of valued or binary ties yields better results. This secondary analysis used the 2010 National Ambulatory Care Medical Survey to assess interdependence of 'top 20' diagnoses seen and medications prescribed for 14 specialties. The degree of interdependence was measured as the level of association between diagnoses and drug interactions among medications. Both valued and binary network densities were computed for each specialty. To assess concurrent validity, these measures were correlated with previously-derived valid measures of complexity of care using the same database, adjusting for diagnosis and medication diversity. Partial correlations between diagnosis density, and both diagnosis and total input complexity, were significant, as were those between medication density and both medication and total output complexity; for both diagnosis and medication densities, adjusted correlations were higher for binary rather than valued densities. This study demonstrated the feasibility and validity of using network density as a measure of interdependence. When adjusted for measure diversity, density-complexity correlations were significant and higher for binary than valued density. This approach complements other methods of estimating complexity of care and may be applicable to unique settings. © 2015 John Wiley & Sons, Ltd.

  19. E pluribus unum: using group model building with many interdependent organizations to create integrated health-care networks.

    PubMed

    Pieters, Angèle; Akkermans, Henk; Franx, Arie

    2011-01-01

    This chapter reports on an action research case study of integrated obstetric care in the Netherlands. Efficient and patient-friendly patient flows through integrated care networks are of major societal importance. How to design and develop such interorganizational patient flows is still a nascent research area, especially when dealing with a large number (n>3) of stakeholders. We have shown that a modification of an existing method to support interorganizational collaboration by system dynamics-based group model building (GMB) (the Renga method, Akkermans, 2001) may be effective in achieving such collaboration.

  20. The Ecological Model Web Concept: A Consultative Infrastructure for Decision Makers and Researchers

    NASA Astrophysics Data System (ADS)

    Geller, G.; Nativi, S.

    2011-12-01

    Rapid climate and socioeconomic changes may be outrunning society's ability to understand, predict, and respond to change effectively. Decision makers want better information about what these changes will be and how various resources will be affected, while researchers want better understanding of the components and processes of ecological systems, how they interact, and how they respond to change. Although there are many excellent models in ecology and related disciplines, there is only limited coordination among them, and accessible, openly shared models or model systems that can be consulted to gain insight on important ecological questions or assist with decision-making are rare. A "consultative infrastructure" that increased access to and sharing of models and model outputs would benefit decision makers, researchers, as well as modelers. Of course, envisioning such an ambitious system is much easier than building it, but several complementary approaches exist that could contribute. The one discussed here is called the Model Web. This is a concept for an open-ended system of interoperable computer models and databases based on making models and their outputs available as services ("model as a service"). Initially, it might consist of a core of several models from which it could grow gradually as new models or databases were added. However, a model web would not be a monolithic, rigidly planned and built system--instead, like the World Wide Web, it would grow largely organically, with limited central control, within a framework of broad goals and data exchange standards. One difference from the WWW is that a model web is much harder to create, and has more pitfalls, and thus is a long term vision. However, technology, science, observations, and models have advanced enough so that parts of an ecological model web can be built and utilized now, forming a framework for gradual growth as well as a broadly accessible infrastructure. Ultimately, the value of a model

  1. Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL)

    NASA Astrophysics Data System (ADS)

    Kellermann, Patric; Schönberger, Christine; Thieken, Annegret H.

    2016-11-01

    Experience has shown that river floods can significantly hamper the reliability of railway networks and cause extensive structural damage and disruption. As a result, the national railway operator in Austria had to cope with financial losses of more than EUR 100 million due to flooding in recent years. Comprehensive information on potential flood risk hot spots as well as on expected flood damage in Austria is therefore needed for strategic flood risk management. In view of this, the flood damage model RAIL (RAilway Infrastructure Loss) was applied to estimate (1) the expected structural flood damage and (2) the resulting repair costs of railway infrastructure due to a 30-, 100- and 300-year flood in the Austrian Mur River catchment. The results were then used to calculate the expected annual damage of the railway subnetwork and subsequently analysed in terms of their sensitivity to key model assumptions. Additionally, the impact of risk aversion on the estimates was investigated, and the overall results were briefly discussed against the background of climate change and possibly resulting changes in flood risk. The findings indicate that the RAIL model is capable of supporting decision-making in risk management by providing comprehensive risk information on the catchment level. It is furthermore demonstrated that an increased risk aversion of the railway operator has a marked influence on flood damage estimates for the study area and, hence, should be considered with regard to the development of risk management strategies.

  2. Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure; Preprint

    SciTech Connect

    O'Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

    2011-01-01

    Electric vehicles could significantly reduce greenhouse gas (GHG) emissions and dependence on imported petroleum. However, for mass adoption, EV costs have historically been too high to be competitive with conventional vehicle options due to the high price of batteries, long refuel time, and a lack of charging infrastructure. A number of different technologies and business strategies have been proposed to address some of these cost and utility issues: battery leasing, battery fast-charging stations, battery swap stations, deployment of charge points for opportunity charging, etc. In order to investigate these approaches and compare their merits on a consistent basis, the National Renewable Energy Laboratory (NREL) has developed a new techno-economic model. The model includes nine modules to examine the levelized cost per mile for various types of powertrain and business strategies. The various input parameters such as vehicle type, battery, gasoline, and electricity prices; battery cycle life; driving profile; and infrastructure costs can be varied. In this paper, we discuss the capabilities of the model; describe key modules; give examples of how various assumptions, powertrain configurations, and business strategies impact the cost to the end user; and show the vehicle's levelized cost per mile sensitivity to seven major operational parameters.

  3. A year 2003 conceptual model for the U.S. telecommunications infrastructure.

    SciTech Connect

    Cox, Roger Gary; Reinert, Rhonda K.

    2003-12-01

    To model the telecommunications infrastructure and its role and robustness to shocks, we must characterize the business and engineering of telecommunications systems in the year 2003 and beyond. By analogy to environmental systems modeling, we seek to develop a 'conceptual model' for telecommunications. Here, the conceptual model is a list of high-level assumptions consistent with the economic and engineering architectures of telecommunications suppliers and customers, both today and in the near future. We describe the present engineering architectures of the most popular service offerings, and describe the supplier markets in some detail. We also develop a characterization of the customer base for telecommunications services and project its likely response to disruptions in service, base-lining such conjectures against observed behaviors during 9/11.

  4. Hydrodynamic modeling of urban flooding taking into account detailed data about city infrastructure

    NASA Astrophysics Data System (ADS)

    Belikov, Vitaly; Norin, Sergey; Aleksyuk, Andrey; Krylenko, Inna; Borisova, Natalya; Rumyantsev, Alexey

    2017-04-01

    Flood waves moving across urban areas have specific features. Thus, the linear objects of infrastructure (such as embankments, roads, dams) can change the direction of flow or block the water movement. On the contrary, paved avenues and wide streets in the cities contribute to the concentration of flood waters. Buildings create an additional resistance to the movement of water, which depends on the urban density and the type of constructions; this effect cannot be completely described by Manning's resistance law. In addition, part of the earth surface, occupied by buildings, is excluded from the flooded area, which results in a substantial (relative to undeveloped areas) increase of the depth of flooding, especially for unsteady flow conditions. An approach to numerical simulation of urban areas flooding that consists in direct allocating of all buildings and structures on the computational grid are proposed. This can be done in almost full automatic way with usage of modern software. Real geometry of all objects of infrastructure can be taken into account on the base of highly detailed digital maps and satellite images. The calculations based on two-dimensional Saint-Venant equations on irregular adaptive computational meshes, which can contain millions of cells and take into account tens of thousands of buildings and other objects of infrastructure. Flood maps, received as result of modeling, are the basis for the damage and risk assessment for urban areas. The main advantage of the developed method is high-precision calculations, realistic modeling results and appropriate graphical display of the flood dynamics and dam-break wave's propagation on urban areas. Verification of this method has been done on the experimental data and real events simulations, including catastrophic flooding of the Krymsk city in 2012 year.

  5. Spontaneous Symmetry Breaking in Interdependent Networked Game

    PubMed Central

    Jin, Qing; Wang, Lin; Xia, Cheng-Yi; Wang, Zhen

    2014-01-01

    Spatial evolution game has traditionally assumed that players interact with direct neighbors on a single network, which is isolated and not influenced by other systems. However, this is not fully consistent with recent research identification that interactions between networks play a crucial rule for the outcome of evolutionary games taking place on them. In this work, we introduce the simple game model into the interdependent networks composed of two networks. By means of imitation dynamics, we display that when the interdependent factor α is smaller than a threshold value αC, the symmetry of cooperation can be guaranteed. Interestingly, as interdependent factor exceeds αC, spontaneous symmetry breaking of fraction of cooperators presents itself between different networks. With respect to the breakage of symmetry, it is induced by asynchronous expansion between heterogeneous strategy couples of both networks, which further enriches the content of spatial reciprocity. Moreover, our results can be well predicted by the strategy-couple pair approximation method. PMID:24526076

  6. Dyadic conflict, drinking to cope, and alcohol-related problems: A psychometric study and longitudinal actor-partner interdependence model.

    PubMed

    Lambe, Laura; Mackinnon, Sean P; Stewart, Sherry H

    2015-10-01

    The motivational model of alcohol use posits that individuals may consume alcohol to cope with negative affect. Conflict with others is a strong predictor of coping motives, which in turn predict alcohol-related problems. Two studies examined links between conflict, coping motives, and alcohol-related problems in emerging adult romantic dyads. It was hypothesized that the association between conflict and alcohol-related problems would be mediated by coping-depression and coping-anxiety motives. It was also hypothesized that this would be true for actor (i.e., how individual factors influence individual behaviors) and partner effects (i.e., how partner factors influence individual behaviors) and at the between- (i.e., does not vary over the study period) and within-subjects (i.e., varies over the study period) levels. Both studies examined participants currently in a romantic relationship who consumed ≥12 alcoholic drinks in the past year. Study 1 was cross-sectional using university students (N = 130 students; 86.9% female; M = 21.02 years old, SD = 3.43). Study 2 used a 4-wave, 4-week longitudinal design with romantic dyads (N = 100 dyads; 89% heterosexual; M = 22.13 years old, SD = 5.67). In Study 2, coping-depression motives emerged as the strongest mediator of the conflict-alcohol-related problems association, and findings held for actor effects but not partner effects. Supplemental analyses revealed that this mediational pathway only held among women. Within any given week, alcohol-related problems changed systematically in the same direction between romantic partners. Interventions may wish to target coping-depression drinking motives within couples in response to conflict to reduce alcohol-related problems. (c) 2015 APA, all rights reserved).

  7. Improving interdependent networks robustness by adding connectivity links

    NASA Astrophysics Data System (ADS)

    Ji, Xingpei; Wang, Bo; Liu, Dichen; Chen, Guo; Tang, Fei; Wei, Daqian; Tu, Lian

    2016-02-01

    Compared with a single and isolated network, interdependent networks have two types of links: connectivity link and dependency link. This paper aims to improve the robustness of interdependent networks by adding connectivity links. Firstly, interdependent networks failure model and four frequently used link addition strategies are briefly reviewed. Furthermore, by defining inter degree-degree difference, two novel link addition strategies are proposed. Finally, we verify the effectiveness of our proposed link addition strategies by comparing with the current link addition strategies in three different network models. The simulation results show that, given the number of added links, link allocation strategies have great effects on the robustness of interdependent networks, i.e., the double-network link allocation strategy is superior to single-network link allocation strategy. Link addition strategies proposed in this paper excel the current strategies, especially for BA interdependent networks. Moreover, our work can provide guidance on how to allocate limited resources to an existing interdependent networks system and optimize its topology to avoid the potential cascade failures.

  8. Modeling Green Infrastructure Land Use Changes on Future Air Quality—Case Study in Kansas City

    NASA Astrophysics Data System (ADS)

    Zhang, Y.; Bash, J. O.; Roselle, S. J.; Gilliland, A. B.; Shatas, A.; DeYoung, R.; Piziali, J.

    2016-12-01

    Green infrastructure can be a cost-effective approach for reducing stormwater runoff and improving water quality as a result, but it could also bring co-benefits for air quality: less impervious surfaces and more vegetation can decrease the urban heat island effect, and also result in more removal of air pollutants via dry deposition with increased vegetative surfaces. Cooler surface temperatures can also decrease ozone formation through the increases of NOx titration; however, cooler surface temperatures also lower the height of the boundary layer resulting in more concentrated pollutants within the same volume of air, especially for primary emitted pollutants (e.g. NOx, CO, primary particulate matter). To better understand how green infrastructure impacts air quality, the interactions between all of these processes must be considered collectively. In this study, we use a comprehensive coupled meteorology-air quality model (WRF-CMAQ) to simulate the influence of planned land use changes that include green infrastructure in Kansas City (KC) on regional meteorology and air quality. Current and future land use data was provided by the Mid-America Regional Council for 2012 and 2040 (projected land use due to population growth, city planning and green infrastructure implementation). We found that the average 2-meter temperatures (T2) during summer (June, July and August) are projected to slightly decrease over the downtown of KC and slightly increase over the newly developed regions surrounding the urban core. The planetary boundary layer (PBL) height changes are consistent with the T2 changes: the PBL height is somewhat lowered over the downtown and raised over the newly developed areas. We also saw relatively small decreases in O3 in the downtown area for the mean of all hours as well as for the maximum 8 hour average (MDA8), corresponding with the changes in T2 and PBL height. However, we also found relatively small PM2.5 concentration increases over KC, especially

  9. Towards victim-oriented crime modelling in a social science e-infrastructure.

    PubMed

    Malleson, Nick; Birkin, Mark

    2011-08-28

    The National e-Infrastructure for Social Simulation (NeISS) is a multi-disciplinary collaboration between computation and social science within the UK Digital Social Research programme. The project aims to develop new tools and services for social scientists and planners to assist in performing 'what-if' scenario predictions in a variety of policy contexts. A key part of the NeISS remit is to explore real-world scenarios and evaluate real policy applications. Research into the processes and drivers behind crime is an important application area that has major implications for both improving crime-related policy and developing effective crime prevention strategies. This paper will discuss how the current e-infrastructure and available microsimulation tools can be used to improve an existing agent-based burglary simulation (BurgdSIM) by including a more realistic representation of the victims of crime. Results show that the model produces different spatial patterns when individual-level victim data are used and a risk profile of the synthetic victims suggests which types of people have the largest burglary risk.

  10. Coordinated scheduling of electricity and natural gas infrastructures with a transient model for natural gas flow

    NASA Astrophysics Data System (ADS)

    Liu, Cong; Shahidehpour, Mohammad; Wang, Jianhui

    2011-06-01

    This paper focuses on transient characteristics of natural gas flow in the coordinated scheduling of security-constrained electricity and natural gas infrastructures. The paper takes into account the slow transient process in the natural gas transmission systems. Considering their transient characteristics, natural gas transmission systems are modeled as a set of partial differential equations (PDEs) and algebraic equations. An implicit finite difference method is applied to approximate PDEs by difference equations. The coordinated scheduling of electricity and natural gas systems is described as a bi-level programming formulation from the independent system operator's viewpoint. The objective of the upper-level problem is to minimize the operating cost of electric power systems while the natural gas scheduling optimization problem is nested within the lower-level problem. Numerical examples are presented to verify the effectiveness of the proposed solution and to compare the solutions for steady-state and transient models of natural gas transmission systems.

  11. Coordinated scheduling of electricity and natural gas infrastructures with a transient model for natural gas flow.

    PubMed

    Liu, Cong; Shahidehpour, Mohammad; Wang, Jianhui

    2011-06-01

    This paper focuses on transient characteristics of natural gas flow in the coordinated scheduling of security-constrained electricity and natural gas infrastructures. The paper takes into account the slow transient process in the natural gas transmission systems. Considering their transient characteristics, natural gas transmission systems are modeled as a set of partial differential equations (PDEs) and algebraic equations. An implicit finite difference method is applied to approximate PDEs by difference equations. The coordinated scheduling of electricity and natural gas systems is described as a bi-level programming formulation from the independent system operator's viewpoint. The objective of the upper-level problem is to minimize the operating cost of electric power systems while the natural gas scheduling optimization problem is nested within the lower-level problem. Numerical examples are presented to verify the effectiveness of the proposed solution and to compare the solutions for steady-state and transient models of natural gas transmission systems.

  12. Depression, anxiety and quality of life in stroke survivors and their family caregivers: A pilot study using an actor/partner interdependence model

    PubMed Central

    Wan-Fei, Khaw; Hassan, Syed Tajuddin Syed; Sann, Lye Munn; Ismail, Siti Irma Fadhilah; Raman, Rosna Abdul; Ibrahim, Faisal

    2017-01-01

    Background Depression and anxiety are common in stroke survivors as well as their family caregivers. However, it is not known whether each person’s emotional distress contributes to their partner’s quality of life (QOL). Objective This study aimed to examine the effect of depression and anxiety on QOL in stroke survivor-caregiver dyads using dyadic analysis technique - the Actor-Partner Interdependence Model (APIM). Methods This was a cross-sectional pilot study with a total of 30 participating dyads (30 stroke survivors and 30 family caregivers) from Hospital Rehabilitasi Cheras, Kuala Lumpur, Malaysia. This pilot study was conducted over a period of 3 months, between December 2014 and February 2015. Depression and anxiety were assessed using the Hospital Anxiety and Depression Scale (HADS). QOL was assessed using the Short Form-12 Health Survey (SF-12). All analyses were carried out using IBM SPSS version 22. Dyadic data were analysed using multilevel modelling (MLM). Results Depression was uniquely associated with an individual’s own QOL. Survivors and caregivers with higher depression had poorer physical component summary (PCS) scores and mental component summary (MCS) scores. Stroke survivor’s depression exerted a significant actor effect on their PCS (b=−1.42, p=0.001) and MCS (b=−1.52, p<0.001). Caregiver’s depression exerted a significant actor effect on their PCS (b=−2.53, p<0.001) and MCS (b=−1.51, p=0.004). Caregivers’ anxiety negatively influenced their own MCS (b=−0.58, p=0.031). Furthermore, depression exerted a significant partner effect on PCS in stroke survivors (b=−1.19, p=0.003). Caregivers’ depression was also related to their stroke survivors’ poorer QOL, particularly PCS. Conclusion The findings suggest that depression affects the QOL of both stroke survivors and caregivers, not only emotionally but also physically. This dyadic study also has evidence pointing to depression in caregivers and its association with

  13. Implementing CUAHSI and SWE observation data models in the long-term monitoring infrastructure TERENO

    NASA Astrophysics Data System (ADS)

    Klump, J. F.; Stender, V.; Schroeder, M.

    2013-12-01

    Terrestrial Environmental Observatories (TERENO) is an interdisciplinary and long-term research project spanning an Earth observation network across Germany. It includes four test sites within Germany from the North German lowlands to the Bavarian Alps and is operated by six research centers of the Helmholtz Association. The contribution by the participating research centers is organized as regional observatories. The challenge for TERENO and its observatories is to integrate all aspects of data management, data workflows, data modeling and visualizations into the design of a monitoring infrastructure. TERENO Northeast is one of the sub-observatories of TERENO and is operated by the German Research Centre for Geosciences GFZ in Potsdam. This observatory investigates geoecological processes in the northeastern lowland of Germany by collecting large amounts of environmentally relevant data. The success of long-term projects like TERENO depends on well-organized data management, data exchange between the partners involved and on the availability of the captured data. Data discovery and dissemination are facilitated not only through data portals of the regional TERENO observatories but also through a common spatial data infrastructure TEODOOR. TEODOOR bundles the data, provided by the different web services of the single observatories, and provides tools for data discovery, visualization and data access. The TERENO Northeast data infrastructure integrates data from more than 200 instruments and makes the data available through standard web services. Data are stored following the CUAHSI observation data model in combination with the 52° North Sensor Observation Service data model. The data model was implemented using the PostgreSQL/PostGIS DBMS. Especially in a long-term project, such as TERENO, care has to be taken in the data model. We chose to adopt the CUAHSI observational data model because it is designed to store observations and descriptive information (metadata

  14. Reference architecture and interoperability model for data mining and fusion in scientific cross-domain infrastructures

    NASA Astrophysics Data System (ADS)

    Haener, Rainer; Waechter, Joachim; Grellet, Sylvain; Robida, Francois

    2017-04-01

    Interoperability is the key factor in establishing scientific research environments and infrastructures, as well as in bringing together heterogeneous, geographically distributed risk management, monitoring, and early warning systems. Based on developments within the European Plate Observing System (EPOS), a reference architecture has been devised that comprises architectural blue-prints and interoperability models regarding the specification of business processes and logic as well as the encoding of data, metadata, and semantics. The architectural blueprint is developed on the basis of the so called service-oriented architecture (SOA) 2.0 paradigm, which combines intelligence and proactiveness of event-driven with service-oriented architectures. SOA 2.0 supports analysing (Data Mining) both, static and real-time data in order to find correlations of disparate information that do not at first appear to be intuitively obvious: Analysed data (e.g., seismological monitoring) can be enhanced with relationships discovered by associating them (Data Fusion) with other data (e.g., creepmeter monitoring), with digital models of geological structures, or with the simulation of geological processes. The interoperability model describes the information, communication (conversations) and the interactions (choreographies) of all participants involved as well as the processes for registering, providing, and retrieving information. It is based on the principles of functional integration, implemented via dedicated services, communicating via service-oriented and message-driven infrastructures. The services provide their functionality via standardised interfaces: Instead of requesting data directly, users share data via services that are built upon specific adapters. This approach replaces the tight coupling at data level by a flexible dependency on loosely coupled services. The main component of the interoperability model is the comprehensive semantic description of the information

  15. The Semi-opened Infrastructure Model (SopIM): A Frame to Set Up an Organizational Learning Process

    NASA Astrophysics Data System (ADS)

    Grundstein, Michel

    In this paper, we introduce the "Semi-opened Infrastructure Model (SopIM)" implemented to deploy Artificial Intelligence and Knowledge-based Systems within a large industrial company. This model illustrates what could be two of the operating elements of the Model for General Knowledge Management within the Enterprise (MGKME) that are essential to set up the organizational learning process that leads people to appropriate and use concepts, methods and tools of an innovative technology: the "Ad hoc Infrastructures" element, and the "Organizational Learning Processes" element.

  16. Noise-tolerant inverse analysis models for nondestructive evaluation of transportation infrastructure systems using neural networks

    NASA Astrophysics Data System (ADS)

    Ceylan, Halil; Gopalakrishnan, Kasthurirangan; Birkan Bayrak, Mustafa; Guclu, Alper

    2013-09-01

    The need to rapidly and cost-effectively evaluate the present condition of pavement infrastructure is a critical issue concerning the deterioration of ageing transportation infrastructure all around the world. Nondestructive testing (NDT) and evaluation methods are well-suited for characterising materials and determining structural integrity of pavement systems. The falling weight deflectometer (FWD) is a NDT equipment used to assess the structural condition of highway and airfield pavement systems and to determine the moduli of pavement layers. This involves static or dynamic inverse analysis (referred to as backcalculation) of FWD deflection profiles in the pavement surface under a simulated truck load. The main objective of this study was to employ biologically inspired computational systems to develop robust pavement layer moduli backcalculation algorithms that can tolerate noise or inaccuracies in the FWD deflection data collected in the field. Artificial neural systems, also known as artificial neural networks (ANNs), are valuable computational intelligence tools that are increasingly being used to solve resource-intensive complex engineering problems. Unlike the linear elastic layered theory commonly used in pavement layer backcalculation, non-linear unbound aggregate base and subgrade soil response models were used in an axisymmetric finite element structural analysis programme to generate synthetic database for training and testing the ANN models. In order to develop more robust networks that can tolerate the noisy or inaccurate pavement deflection patterns in the NDT data, several network architectures were trained with varying levels of noise in them. The trained ANN models were capable of rapidly predicting the pavement layer moduli and critical pavement responses (tensile strains at the bottom of the asphalt concrete layer, compressive strains on top of the subgrade layer and the deviator stresses on top of the subgrade layer), and also pavement

  17. Accurate modeling and inversion of electrical resistivity data in the presence of metallic infrastructure with known location and dimension

    SciTech Connect

    Johnson, Timothy C.; Wellman, Dawn M.

    2015-06-26

    Electrical resistivity tomography (ERT) has been widely used in environmental applications to study processes associated with subsurface contaminants and contaminant remediation. Anthropogenic alterations in subsurface electrical conductivity associated with contamination often originate from highly industrialized areas with significant amounts of buried metallic infrastructure. The deleterious influence of such infrastructure on imaging results generally limits the utility of ERT where it might otherwise prove useful for subsurface investigation and monitoring. In this manuscript we present a method of accurately modeling the effects of buried conductive infrastructure within the forward modeling algorithm, thereby removing them from the inversion results. The method is implemented in parallel using immersed interface boundary conditions, whereby the global solution is reconstructed from a series of well-conditioned partial solutions. Forward modeling accuracy is demonstrated by comparison with analytic solutions. Synthetic imaging examples are used to investigate imaging capabilities within a subsurface containing electrically conductive buried tanks, transfer piping, and well casing, using both well casings and vertical electrode arrays as current sources and potential measurement electrodes. Results show that, although accurate infrastructure modeling removes the dominating influence of buried metallic features, the presence of metallic infrastructure degrades imaging resolution compared to standard ERT imaging. However, accurate imaging results may be obtained if electrodes are appropriately located.

  18. The Kiel data management infrastructure - arising from a generic data model

    NASA Astrophysics Data System (ADS)

    Fleischer, D.; Mehrtens, H.; Schirnick, C.; Springer, P.

    2010-12-01

    The Kiel Data Management Infrastructure (KDMI) started from a cooperation of three large-scale projects (SFB574, SFB754 and Cluster of Excellence The Future Ocean) and the Leibniz Institute of Marine Sciences (IFM-GEOMAR). The common strategy for project data management is a single person collecting and transforming data according to the requirements of the targeted data center(s). The intention of the KDMI cooperation is to avoid redundant and potentially incompatible data management efforts for scientists and data managers and to create a single sustainable infrastructure. An increased level of complexity in the conceptual planing arose from the diversity of marine disciplines and approximately 1000 scientists involved. KDMI key features focus on the data provenance which we consider to comprise the entire workflow from field sampling thru labwork to data calculation and evaluation. Managing the data of each individual project participant in this way yields the data management for the entire project and warrants the reusability of (meta)data. Accordingly scientists provide a workflow definition of their data creation procedures resulting in their target variables. The central idea in the development of the KDMI presented here is based on the object oriented programming concept which allows to have one object definition (workflow) and infinite numbers of object instances (data). Each definition is created by a graphical user interface and produces XML output stored in a database using a generic data model. On creation of a data instance the KDMI translates the definition into web forms for the scientist, the generic data model then accepts all information input following the given data provenance definition. An important aspect of the implementation phase is the possibility of a successive transition from daily measurement routines resulting in single spreadsheet files with well known points of failure and limited reuseability to a central infrastructure as a

  19. Infrastructure sensing

    PubMed Central

    Soga, Kenichi; Schooling, Jennifer

    2016-01-01

    Design, construction, maintenance and upgrading of civil engineering infrastructure requires fresh thinking to minimize use of materials, energy and labour. This can only be achieved by understanding the performance of the infrastructure, both during its construction and throughout its design life, through innovative monitoring. Advances in sensor systems offer intriguing possibilities to radically alter methods of condition assessment and monitoring of infrastructure. In this paper, it is hypothesized that the future of infrastructure relies on smarter information; the rich information obtained from embedded sensors within infrastructure will act as a catalyst for new design, construction, operation and maintenance processes for integrated infrastructure systems linked directly with user behaviour patterns. Some examples of emerging sensor technologies for infrastructure sensing are given. They include distributed fibre-optics sensors, computer vision, wireless sensor networks, low-power micro-electromechanical systems, energy harvesting and citizens as sensors. PMID:27499845

  20. Infrastructure sensing.

    PubMed

    Soga, Kenichi; Schooling, Jennifer

    2016-08-06

    Design, construction, maintenance and upgrading of civil engineering infrastructure requires fresh thinking to minimize use of materials, energy and labour. This can only be achieved by understanding the performance of the infrastructure, both during its construction and throughout its design life, through innovative monitoring. Advances in sensor systems offer intriguing possibilities to radically alter methods of condition assessment and monitoring of infrastructure. In this paper, it is hypothesized that the future of infrastructure relies on smarter information; the rich information obtained from embedded sensors within infrastructure will act as a catalyst for new design, construction, operation and maintenance processes for integrated infrastructure systems linked directly with user behaviour patterns. Some examples of emerging sensor technologies for infrastructure sensing are given. They include distributed fibre-optics sensors, computer vision, wireless sensor networks, low-power micro-electromechanical systems, energy harvesting and citizens as sensors.

  1. Spatial Preference Modelling for equitable infrastructure provision: an application of Sen's Capability Approach

    NASA Astrophysics Data System (ADS)

    Wismadi, Arif; Zuidgeest, Mark; Brussel, Mark; van Maarseveen, Martin

    2013-04-01

    To determine whether the inclusion of spatial neighbourhood comparison factors in Preference Modelling allows spatial decision support systems (SDSSs) to better address spatial equity, we introduce Spatial Preference Modelling (SPM). To evaluate the effectiveness of this model in addressing equity, various standardisation functions in both Non-Spatial Preference Modelling and SPM are compared. The evaluation involves applying the model to a resource location-allocation problem for transport infrastructure in the Special Province of Yogyakarta in Indonesia. We apply Amartya Sen's Capability Approach to define opportunity to mobility as a non-income indicator. Using the extended Moran's I interpretation for spatial equity, we evaluate the distribution output regarding, first, `the spatial distribution patterns of priority targeting for allocation' (SPT) and, second, `the effect of new distribution patterns after location-allocation' (ELA). The Moran's I index of the initial map and its comparison with six patterns for SPT as well as ELA consistently indicates that the SPM is more effective for addressing spatial equity. We conclude that the inclusion of spatial neighbourhood comparison factors in Preference Modelling improves the capability of SDSS to address spatial equity. This study thus proposes a new formal method for SDSS with specific attention on resource location-allocation to address spatial equity.

  2. Spatial Preference Modelling for equitable infrastructure provision: an application of Sen's Capability Approach

    NASA Astrophysics Data System (ADS)

    Wismadi, Arif; Zuidgeest, Mark; Brussel, Mark; van Maarseveen, Martin

    2014-01-01

    To determine whether the inclusion of spatial neighbourhood comparison factors in Preference Modelling allows spatial decision support systems (SDSSs) to better address spatial equity, we introduce Spatial Preference Modelling (SPM). To evaluate the effectiveness of this model in addressing equity, various standardisation functions in both Non-Spatial Preference Modelling and SPM are compared. The evaluation involves applying the model to a resource location-allocation problem for transport infrastructure in the Special Province of Yogyakarta in Indonesia. We apply Amartya Sen's Capability Approach to define opportunity to mobility as a non-income indicator. Using the extended Moran's I interpretation for spatial equity, we evaluate the distribution output regarding, first, `the spatial distribution patterns of priority targeting for allocation' (SPT) and, second, `the effect of new distribution patterns after location-allocation' (ELA). The Moran's I index of the initial map and its comparison with six patterns for SPT as well as ELA consistently indicates that the SPM is more effective for addressing spatial equity. We conclude that the inclusion of spatial neighbourhood comparison factors in Preference Modelling improves the capability of SDSS to address spatial equity. This study thus proposes a new formal method for SDSS with specific attention on resource location-allocation to address spatial equity.

  3. A model driven approach for the German health telematics architectural framework and security infrastructure.

    PubMed

    Blobel, Bernd; Pharow, Peter

    2007-01-01

    Shared care concepts such as managed care and continuity of care are based on extended communication and cooperation between different health professionals or between them and the patient respectively. Health information systems and their components, which are very different in their structure, behavior, data and their semantics as well as regarding implementation details used in different environments for different purposes, have to provide intelligent interoperability. Therefore, flexibility, portability, and future orientation must be guaranteed using the newest development of model driven architecture. The ongoing work for the German health telematics platform based on an architectural framework and a security infrastructure is described in some detail. This concept of future proof health information networks with virtual electronic health records as core application starts with multifunctional electronic health cards. It fits into developments currently performed by many other developed countries.

  4. Human initiated cascading failures in societal infrastructures.

    PubMed

    Barrett, Chris; Channakeshava, Karthik; Huang, Fei; Kim, Junwhan; Marathe, Achla; Marathe, Madhav V; Pei, Guanhong; Saha, Sudip; Subbiah, Balaaji S P; Vullikanti, Anil Kumar S

    2012-01-01

    In this paper, we conduct a systematic study of human-initiated cascading failures in three critical inter-dependent societal infrastructures due to behavioral adaptations in response to a crisis. We focus on three closely coupled socio-technical networks here: (i) cellular and mesh networks, (ii) transportation networks and (iii) mobile call networks. In crises, changes in individual behaviors lead to altered travel, activity and calling patterns, which influence the transport network and the loads on wireless networks. The interaction between these systems and their co-evolution poses significant technical challenges for representing and reasoning about these systems. In contrast to system dynamics models for studying these interacting infrastructures, we develop interaction-based models in which individuals and infrastructure elements are represented in detail and are placed in a common geographic coordinate system. Using the detailed representation, we study the impact of a chemical plume that has been released in a densely populated urban region. Authorities order evacuation of the affected area, and this leads to individual behavioral adaptation wherein individuals drop their scheduled activities and drive to home or pre-specified evacuation shelters as appropriate. They also revise their calling behavior to communicate and coordinate among family members. These two behavioral adaptations cause flash-congestion in the urban transport network and the wireless network. The problem is exacerbated with a few, already occurring, road closures. We analyze how extended periods of unanticipated road congestion can result in failure of infrastructures, starting with the servicing base stations in the congested area. A sensitivity analysis on the compliance rate of evacuees shows non-intuitive effect on the spatial distribution of people and on the loading of the base stations. For example, an evacuation compliance rate of 70% results in higher number of overloaded

  5. Human Initiated Cascading Failures in Societal Infrastructures

    PubMed Central

    Barrett, Chris; Channakeshava, Karthik; Huang, Fei; Kim, Junwhan; Marathe, Achla; Marathe, Madhav V.; Pei, Guanhong; Saha, Sudip; Subbiah, Balaaji S. P.; Vullikanti, Anil Kumar S.

    2012-01-01

    In this paper, we conduct a systematic study of human-initiated cascading failures in three critical inter-dependent societal infrastructures due to behavioral adaptations in response to a crisis. We focus on three closely coupled socio-technical networks here: (i) cellular and mesh networks, (ii) transportation networks and (iii) mobile call networks. In crises, changes in individual behaviors lead to altered travel, activity and calling patterns, which influence the transport network and the loads on wireless networks. The interaction between these systems and their co-evolution poses significant technical challenges for representing and reasoning about these systems. In contrast to system dynamics models for studying these interacting infrastructures, we develop interaction-based models in which individuals and infrastructure elements are represented in detail and are placed in a common geographic coordinate system. Using the detailed representation, we study the impact of a chemical plume that has been released in a densely populated urban region. Authorities order evacuation of the affected area, and this leads to individual behavioral adaptation wherein individuals drop their scheduled activities and drive to home or pre-specified evacuation shelters as appropriate. They also revise their calling behavior to communicate and coordinate among family members. These two behavioral adaptations cause flash-congestion in the urban transport network and the wireless network. The problem is exacerbated with a few, already occurring, road closures. We analyze how extended periods of unanticipated road congestion can result in failure of infrastructures, starting with the servicing base stations in the congested area. A sensitivity analysis on the compliance rate of evacuees shows non-intuitive effect on the spatial distribution of people and on the loading of the base stations. For example, an evacuation compliance rate of 70% results in higher number of overloaded

  6. Urban Stormwater Management Model and Tools for Designing Stormwater Management of Green Infrastructure Practices

    NASA Astrophysics Data System (ADS)

    Haris, H.; Chow, M. F.; Usman, F.; Sidek, L. M.; Roseli, Z. A.; Norlida, M. D.

    2016-03-01

    Urbanization is growing rapidly in Malaysia. Rapid urbanization has known to have several negative impacts towards hydrological cycle due to decreasing of pervious area and deterioration of water quality in stormwater runoff. One of the negative impacts of urbanization is the congestion of the stormwater drainage system and this situation leading to flash flood problem and water quality degradation. There are many urban stormwater management softwares available in the market such as Storm Water Drainage System design and analysis program (DRAINS), Urban Drainage and Sewer Model (MOUSE), InfoWorks River Simulation (InfoWork RS), Hydrological Simulation Program-Fortran (HSPF), Distributed Routing Rainfall-Runoff Model (DR3M), Storm Water Management Model (SWMM), XP Storm Water Management Model (XPSWMM), MIKE-SWMM, Quality-Quantity Simulators (QQS), Storage, Treatment, Overflow, Runoff Model (STORM), and Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS). In this paper, we are going to discuss briefly about several softwares and their functionality, accessibility, characteristics and components in the quantity analysis of the hydrological design software and compare it with MSMA Design Aid and Database. Green Infrastructure (GI) is one of the main topics that has widely been discussed all over the world. Every development in the urban area is related to GI. GI can be defined as green area build in the develop area such as forest, park, wetland or floodway. The role of GI is to improve life standard such as water filtration or flood control. Among the twenty models that have been compared to MSMA SME, ten models were selected to conduct a comprehensive review for this study. These are known to be widely accepted by water resource researchers. These ten tools are further classified into three major categories as models that address the stormwater management ability of GI in terms of quantity and quality, models that have the capability of conducting the

  7. Geographic Hotspots of Critical National Infrastructure.

    PubMed

    Thacker, Scott; Barr, Stuart; Pant, Raghav; Hall, Jim W; Alderson, David

    2017-06-12

    Failure of critical national infrastructures can result in major disruptions to society and the economy. Understanding the criticality of individual assets and the geographic areas in which they are located is essential for targeting investments to reduce risks and enhance system resilience. Within this study we provide new insights into the criticality of real-life critical infrastructure networks by integrating high-resolution data on infrastructure location, connectivity, interdependence, and usage. We propose a metric of infrastructure criticality in terms of the number of users who may be directly or indirectly disrupted by the failure of physically interdependent infrastructures. Kernel density estimation is used to integrate spatially discrete criticality values associated with individual infrastructure assets, producing a continuous surface from which statistically significant infrastructure criticality hotspots are identified. We develop a comprehensive and unique national-scale demonstration for England and Wales that utilizes previously unavailable data from the energy, transport, water, waste, and digital communications sectors. The testing of 200,000 failure scenarios identifies that hotspots are typically located around the periphery of urban areas where there are large facilities upon which many users depend or where several critical infrastructures are concentrated in one location. © 2017 Society for Risk Analysis.

  8. The Conservation Nexus: Valuing Interdependent Water and Energy Savings in Phoenix, Arizona

    NASA Astrophysics Data System (ADS)

    Chester, M.; Bartos, M.

    2013-12-01

    Energy and water resources are intrinsically linked, yet they are managed separately--even in the water-scarce American southwest. This study develops a spatially-explicit model of water-energy interdependencies in Arizona, and assesses the potential for co-beneficial conservation programs. Arizona consumes 2.8% of its water demand for thermoelectric power and 8% of its electricity demand for water infrastructure--roughly twice the national average. The interdependent benefits of investments in 7 conservation strategies are assessed. Deployment of irrigation retrofits and new reclaimed water facilities dominate potential water savings, while residential and commercial HVAC improvements dominate energy savings. Water conservation policies have the potential to reduce statewide electricity demand by 1.0-2.9%, satisfying 5-14% of mandated energy-efficiency goals. Likewise, adoption of energy-efficiency measures and renewable generation portfolios can reduce non-agricultural water demand by 2.0-2.6%. These co-benefits of conservation investments are typically not included in conservation plans or benefit-cost analyses. Residential water conservation measures produce significant water and energy savings, but are generally not cost-effective at current water prices. An evaluation of the true cost of water in Arizona would allow future water and energy savings to be compared objectively, and would help policymakers allocate scarce resources to the highest-value conservation measures. Water Transfers between Water Cycle Components in Arizona in 2008 Cumulative embedded energy in water cycle components in Arizona in 2008

  9. Rice in an interdependent world.

    PubMed

    Falck, V T

    1991-01-01

    The purpose of this paper is to examine the outcome of the increasing need and dependence on rice as an essential food, and the potential hazards of this trajectory in an interdependent world, and to propose the need for a supranational system to guide decisions made in areas of mutual dependency among nations. All rice producing countries of the world should be responsible for assuring sufficient quantities and qualities of rice for the world's population. However, there are hazards related to emphasis on rice yields associated with the neglect of overall nutritional needs and also the potential for environmental impact given the need for sustainable development. Scientific measurement and data analyses of interdependent supranational variables are needed to guide policies and practices to insure conditions for life will be favorable for people everywhere.

  10. Interdependent Catalysts for Transforming Learning Environments ... and the Faculty Who Teach in Them

    ERIC Educational Resources Information Center

    Solheim, Catherine; Longo, Bernadette; Cohen, Bradley A.; Dikkers, Amy Garrett

    2010-01-01

    Designers of new, technology-rich, interactive learning environments need to consider the interdependent factors of physical and virtual spaces, faculty, students, and institutional infrastructure to create an effective setting for teaching and learning in higher education settings. At the University of Minnesota, a small group of faculty, staff,…

  11. SCEC Community Modeling Environment (SCEC/CME) - Seismic Hazard Analysis Applications and Infrastructure

    NASA Astrophysics Data System (ADS)

    Maechling, P. J.; Jordan, T. H.; Kesselman, C.; Moore, R.; Minster, B.; SCEC ITR Collaboration

    2003-12-01

    The Southern California Earthquake Center (SCEC) has formed a Geoscience/IT partnership to develop an advanced information infrastructure for system-level earthquake science in Southern California. This SCEC/ITR partnership comprises SCEC, USC's Information Sciences Institute (ISI), the San Diego Supercomputer Center (SDSC), the Incorporated Institutions for Research in Seismology (IRIS), and the U.S. Geological Survey. This collaboration recently completed the second year in a five-year National Science Foundation (NSF) funded ITR project called the SCEC Community Modeling Environment (SCEC/CME). The goal of the SCEC/CME is to develop seismological applications and information technology (IT) infrastructure to support the development of Seismic Hazard Analysis (SHA) programs and other geophysical simulations. The SHA application programs developed by project collaborators include a Probabilistic Seismic Hazard Analysis system called OpenSHA [Field et al., this meeting]. OpenSHA computational elements that are currently available include a collection of attenuation relationships, and several Earthquake Rupture Forecasts (ERF's). Geophysicists in the collaboration have also developed Anelastic Wave Models (AWMs) using both finite-difference and finite-element approaches. Earthquake simulations using these codes have been run for a variety of earthquake sources. A Rupture Dynamic Model (RDM) has also been developed that couples a rupture dynamics simulation into an anelastic wave model. The collaboration has also developed IT software and hardware infrastructure to support the development, execution, and analysis of SHA programs. To support computationally expensive simulations, we have constructed a grid-based system utilizing Globus software [Kesselman et al., this meeting]. Using the SCEC grid, project collaborators can submit computations from the SCEC/CME servers to High Performance Computers at USC, NPACI and Teragrid High Performance Computing Centers. We have

  12. Modeling complexity in engineered infrastructure system: Water distribution network as an example

    NASA Astrophysics Data System (ADS)

    Zeng, Fang; Li, Xiang; Li, Ke

    2017-02-01

    The complex topology and adaptive behavior of infrastructure systems are driven by both self-organization of the demand and rigid engineering solutions. Therefore, engineering complex systems requires a method balancing holism and reductionism. To model the growth of water distribution networks, a complex network model was developed following the combination of local optimization rules and engineering considerations. The demand node generation is dynamic and follows the scaling law of urban growth. The proposed model can generate a water distribution network (WDN) similar to reported real-world WDNs on some structural properties. Comparison with different modeling approaches indicates that a realistic demand node distribution and co-evolvement of demand node and network are important for the simulation of real complex networks. The simulation results indicate that the efficiency of water distribution networks is exponentially affected by the urban growth pattern. On the contrary, the improvement of efficiency by engineering optimization is limited and relatively insignificant. The redundancy and robustness, on another aspect, can be significantly improved through engineering methods.

  13. Paradigm Shift in Data Content and Informatics Infrastructure Required for Generalized Constitutive Modeling of Materials Behavior

    NASA Technical Reports Server (NTRS)

    Arnold, S. M.

    2006-01-01

    Materials property information such as composition and thermophysical/mechanical properties abound in the literature. Oftentimes, however, the corresponding response curves from which these data are determined are missing or at the very least difficult to retrieve. Further, the paradigm for collecting materials property information has historically centered on (1) properties for materials comparison/selection purposes and (2) input requirements for conventional design/analysis methods. However, just as not all materials are alike or equal, neither are all constitutive models (and thus design/ analysis methods) equal; each model typically has its own specific and often unique required materials parameters, some directly measurable and others indirectly measurable. Therefore, the type and extent of materials information routinely collected is not always sufficient to meet the current, much less future, needs of the materials modeling community. Informatics has been defined as the science concerned with gathering, manipulating, storing, retrieving, and classifying recorded information. A key aspect of informatics is its focus on understanding problems and applying information technology as needed to address those problems. The primary objective of this article is to highlight the need for a paradigm shift in materials data collection, analysis, and dissemination so as to maximize the impact on both practitioners and researchers. Our hope is to identify and articulate what constitutes "sufficient" data content (i.e., quality and quantity) for developing, characterizing, and validating sophisticated nonlinear time- and history-dependent (hereditary) constitutive models. Likewise, the informatics infrastructure required for handling the potentially massive amounts of materials data will be discussed.

  14. Paradigm Shift in Data Content and Informatics Infrastructure Required for Generalized Constitutive Modeling of Materials Behavior

    NASA Technical Reports Server (NTRS)

    Arnold, S. M.

    2006-01-01

    Materials property information such as composition and thermophysical/mechanical properties abound in the literature. Oftentimes, however, the corresponding response curves from which these data are determined are missing or at the very least difficult to retrieve. Further, the paradigm for collecting materials property information has historically centered on (1) properties for materials comparison/selection purposes and (2) input requirements for conventional design/analysis methods. However, just as not all materials are alike or equal, neither are all constitutive models (and thus design/ analysis methods) equal; each model typically has its own specific and often unique required materials parameters, some directly measurable and others indirectly measurable. Therefore, the type and extent of materials information routinely collected is not always sufficient to meet the current, much less future, needs of the materials modeling community. Informatics has been defined as the science concerned with gathering, manipulating, storing, retrieving, and classifying recorded information. A key aspect of informatics is its focus on understanding problems and applying information technology as needed to address those problems. The primary objective of this article is to highlight the need for a paradigm shift in materials data collection, analysis, and dissemination so as to maximize the impact on both practitioners and researchers. Our hope is to identify and articulate what constitutes "sufficient" data content (i.e., quality and quantity) for developing, characterizing, and validating sophisticated nonlinear time- and history-dependent (hereditary) constitutive models. Likewise, the informatics infrastructure required for handling the potentially massive amounts of materials data will be discussed.

  15. Localized Modeling of Storm Surge Effects on Civil Infrastructure using ADCIRC

    NASA Astrophysics Data System (ADS)

    Simon, J. S.; Baugh, J.

    2010-12-01

    The increase in water levels in coastal areas due to hurricanes, or storm surge, has a large impact on coastal communities. This is primarily in the form of flooding and the associated loss of use of, and damages to, civil infrastructure such as roads and bridges. In an effort to better prepare coastal communities for hurricanes, highly sophisticated models can be used to simulate the effectiveness of protective civil infrastructure during both historical and hypothetical hurricane events. To find scenarios that can be considered optimized for a given set of constraints and objectives, the different decisions in question must first be modeled for a suite of hurricane events and their results represented quantitatively. Modeling of storm surge is often done on a large spatial scale. Simulation domains often cover the length of the eastern coast of the United States and Canada, the Gulf of Mexico and the Caribbean Sea. This is made necessary by the fact that these simulations are driven by wind fields that demand such a scale. Our goal is to limit our simulation space to a smaller geographical region of interest without sacrificing the quality of the model. This is done by imposing initial and boundary conditions obtained from a single large scale run to the smaller domain. This approach allows us to evaluate various local topographical changes under the stress of different hurricane events, e.g. improvements in design, layout and arrangement of levee structures as well as potential failures of those and other landforms, and to make this evaluation with a significantly reduced computational load. This introduced efficiency of simulating different topographical decisions enables decision-support systems for engineering design and resilience that are informed by the underlying physics of storm surge and wave loadings. ADCIRC is a parallel code written in Fortran that uses the Boussinesq approximations to solve the equations of motion for fluids, accounting for the

  16. WC WAVE - Integrating Diverse Hydrological-Modeling Data and Services Into an Interoperable Geospatial Infrastructure

    NASA Astrophysics Data System (ADS)

    Hudspeth, W. B.; Baros, S.; Barrett, H.; Savickas, J.; Erickson, J.

    2015-12-01

    WC WAVE (Western Consortium for Watershed Analysis, Visualization and Exploration) is a collaborative research project between the states of Idaho, Nevada, and New Mexico that is funded under the National Science Foundation's Experimental Program to Stimulate Competitive Research (EPSCoR). The goal of the project is to understand and document the effects of climate change on interactions between precipitation, vegetation growth, soil moisture and other landscape properties. These interactions are modeled within a framework we refer to as a virtual watershed (VW), a computer infrastructure that simulates watershed dynamics by linking scientific modeling, visualization, and data management components into a coherent whole. Developed and hosted at the Earth Data Analysis Center, University of New Mexico, the virtual watershed has a number of core functions which include: a) streamlined access to data required for model initialization and boundary conditions; b) the development of analytic scenarios through interactive visualization of available data and the storage of model configuration options; c) coupling of hydrological models through the rapid assimilation of model outputs into the data management system for access and use by sequent models. The WC-WAVE virtual watershed accomplishes these functions by provision of large-scale vector and raster data discovery, subsetting, and delivery via Open Geospatial Consortium (OGC) and REST web service standards. Central to the virtual watershed is the design and use of an innovative array of metadata elements that permits the stepwise coupling of diverse hydrological models (e.g. ISNOBAL, PRMS, CASiMiR) and input data to rapidly assess variation in outcomes under different climatic conditions. We present details on the architecture and functionality of the virtual watershed, results from three western U.S. watersheds, and discuss the realized benefits to watershed science of employing this integrated solution.

  17. Interdependent Lattice Networks in High Dimensions

    NASA Astrophysics Data System (ADS)

    Lowinger, Steven; Cwilich, Gabriel; Buldyrev, Sergey

    We study the mutual percolation of two interdependent lattice networks following the procedure outlined by Buldyrev et al 1 . We studied lattices of dimensions 2, 3, 4, 5 and 6. We imposed that the length of interdependent links connecting the nodes from one lattice to the other be less than a certain value, r. We find that for each dimension, D <6, there is a value of r =rI >1 such that for r >=rI, the cascading failures occur as a discontinuous first order transition, while for r model become identical to those of RR graphs. We found that in all dimensions the maximal vulnerability of the networks, as a function of r , is achieved at a distance of r =rmax >rI, but forr >rmax the vulnerability starts to decrease as r --> ∞ . However, the decrease becomes less significant as the dimension increases and becomes negligible for D = 6. Results on how the parameters of the transition scale with the size of the system will be presented. [1] Catastrophic cascade of failures in interdependent networks, Buldyrev, Parshani, Paul, Stanley& Havlin, Nature, 464, 1025-1028 (15 April 2010)

  18. Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure (Presentation)

    SciTech Connect

    O'Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

    2010-11-01

    This presentation uses a vehicle simulator and economics model called the Battery Ownership Model to examine the levelized cost per mile of conventional (CV) and hybrid electric vehicles (HEVs) in comparison with the cost to operate an electric vehicle (EV) under a service provider business model. The service provider is assumed to provide EV infrastructure such as charge points and swap stations to allow an EV with a 100-mile range to operate with driving profiles equivalent to CVs and HEVs. Battery cost, fuel price forecast, battery life, and other variables are examined to determine under what scenarios the levelized cost of an EV with a service provider can approach that of a CV. Scenarios in both the United States as an average and Hawaii are examined. The levelized cost of operating an EV with a service provider under average U.S. conditions is approximately twice the cost of operating a small CV. If battery cost and life can be improved, in this study the cost of an EV drops to under 1.5 times the cost of a CV for U.S. average conditions. In Hawaii, the same EV is only slightly more expensive to operate than a CV.

  19. Development of an informatics infrastructure for data exchange of biomolecular simulations: architecture, data models and ontology$

    PubMed Central

    Thibault, J. C.; Roe, D. R.; Eilbeck, K.; Cheatham, T. E.; Facelli, J. C.

    2015-01-01

    Biomolecular simulations aim to simulate structure, dynamics, interactions, and energetics of complex biomolecular systems. With the recent advances in hardware, it is now possible to use more complex and accurate models, but also reach time scales that are biologically significant. Molecular simulations have become a standard tool for toxicology and pharmacology research, but organizing and sharing data – both within the same organization and among different ones – remains a substantial challenge. In this paper we review our recent work leading to the development of a comprehensive informatics infrastructure to facilitate the organization and exchange of biomolecular simulations data. Our efforts include the design of data models and dictionary tools that allow the standardization of the metadata used to describe the biomedical simulations, the development of a thesaurus and ontology for computational reasoning when searching for biomolecular simulations in distributed environments, and the development of systems based on these models to manage and share the data at a large scale (iBIOMES), and within smaller groups of researchers at laboratory scale (iBIOMES Lite), that take advantage of the standardization of the meta data used to describe biomolecular simulations. PMID:26387907

  20. Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.

    SciTech Connect

    Samsa, M.; Van Kuiken, J.; Jusko, M.; Decision and Information Sciences

    2008-12-01

    The Critical Infrastructure Protection Decision Support System Decision Model (CIPDSS-DM) is a useful tool for comparing the effectiveness of alternative risk-mitigation strategies on the basis of CIPDSS consequence scenarios. The model is designed to assist analysts and policy makers in evaluating and selecting the most effective risk-mitigation strategies, as affected by the importance assigned to various impact measures and the likelihood of an incident. A typical CIPDSS-DM decision map plots the relative preference of alternative risk-mitigation options versus the annual probability of an undesired incident occurring once during the protective life of the investment, assumed to be 20 years. The model also enables other types of comparisons, including a decision map that isolates a selected impact variable and displays the relative preference for the options of interest--parameterized on the basis of the contribution of the isolated variable to total impact, as well as the likelihood of the incident. Satisfaction/regret analysis further assists the analyst or policy maker in evaluating the confidence with which one option can be selected over another.

  1. Quantitative physical models of volcanic phenomena for hazards assessment of critical infrastructures

    NASA Astrophysics Data System (ADS)

    Costa, Antonio

    2016-04-01

    Volcanic hazards may have destructive effects on economy, transport, and natural environments at both local and regional scale. Hazardous phenomena include pyroclastic density currents, tephra fall, gas emissions, lava flows, debris flows and avalanches, and lahars. Volcanic hazards assessment is based on available information to characterize potential volcanic sources in the region of interest and to determine whether specific volcanic phenomena might reach a given site. Volcanic hazards assessment is focussed on estimating the distances that volcanic phenomena could travel from potential sources and their intensity at the considered site. Epistemic and aleatory uncertainties strongly affect the resulting hazards assessment. Within the context of critical infrastructures, volcanic eruptions are rare natural events that can create severe hazards. In addition to being rare events, evidence of many past volcanic eruptions is poorly preserved in the geologic record. The models used for describing the impact of volcanic phenomena generally represent a range of model complexities, from simplified physics based conceptual models to highly coupled thermo fluid dynamical approaches. Modelling approaches represent a hierarchy of complexity, which reflects increasing requirements for well characterized data in order to produce a broader range of output information. In selecting models for the hazard analysis related to a specific phenomenon, questions that need to be answered by the models must be carefully considered. Independently of the model, the final hazards assessment strongly depends on input derived from detailed volcanological investigations, such as mapping and stratigraphic correlations. For each phenomenon, an overview of currently available approaches for the evaluation of future hazards will be presented with the aim to provide a foundation for future work in developing an international consensus on volcanic hazards assessment methods.

  2. Direct and indirect effects of commitment on interdependence and satisfaction in married couples.

    PubMed

    Givertz, Michelle; Segrin, Chris; Woszidlo, Alesia

    2016-03-01

    This study tested the prediction that an individual's marital commitment would be positively associated with their own and their partner's marital satisfaction, and that one's own marital interdependence would be associated with one's own marital satisfaction. It also tested the prediction that there would be an indirect effect of marital commitment on marital satisfaction through higher marital interdependence for both the individual and the partner. Predictions were tested on 628 married couples. Overall, results were consistent with predictions. Tests of actor-partner interdependence mediation models revealed direct effects of marital commitment on marital satisfaction for both husbands and wives. Wives' commitment was also directly associated with husbands' marital interdependence and marital satisfaction, but husbands' commitment was not significantly associated with wives' interdependence or satisfaction. For both husbands and wives, their own marital interdependence was significantly associated with their own marital satisfaction. These same tests revealed indirect effects of marital commitment on marital satisfaction through higher marital interdependence for both husbands and wives individually. There was also an indirect effect of wives' commitment on husbands' marital satisfaction through wives' higher marital interdependence. These results are consistent with interdependence theory and the investment model of commitment. (c) 2016 APA, all rights reserved).

  3. A screening methodology for the identification and ranking of infrastructure vulnerabilities due to terrorism.

    PubMed

    Apostolakis, George E; Lemon, Douglas M

    2005-04-01

    The extreme importance of critical infrastructures to modern society is widely recognized. These infrastructures are complex and interdependent. Protecting the critical infrastructures from terrorism presents an enormous challenge. Recognizing that society cannot afford the costs associated with absolute protection, it is necessary to identify and prioritize the vulnerabilities in these infrastructures. This article presents a methodology for the identification and prioritization of vulnerabilities in infrastructures. We model the infrastructures as interconnected digraphs and employ graph theory to identify the candidate vulnerable scenarios. These scenarios are screened for the susceptibility of their elements to a terrorist attack, and a prioritized list of vulnerabilities is produced. The prioritization methodology is based on multiattribute utility theory. The impact of losing infrastructure services is evaluated using a value tree that reflects the perceptions and values of the decisionmaker and the relevant stakeholders. These results, which are conditional on a specified threat, are provided to the decisionmaker for use in risk management. The methodology is illustrated through the presentation of a portion of the analysis conducted on the campus of the Massachusetts Institute of Technology.

  4. Portal of medical data models: information infrastructure for medical research and healthcare.

    PubMed

    Dugas, Martin; Neuhaus, Philipp; Meidt, Alexandra; Doods, Justin; Storck, Michael; Bruland, Philipp; Varghese, Julian

    2016-01-01

    Information systems are a key success factor for medical research and healthcare. Currently, most of these systems apply heterogeneous and proprietary data models, which impede data exchange and integrated data analysis for scientific purposes. Due to the complexity of medical terminology, the overall number of medical data models is very high. At present, the vast majority of these models are not available to the scientific community. The objective of the Portal of Medical Data Models (MDM, https://medical-data-models.org) is to foster sharing of medical data models. MDM is a registered European information infrastructure. It provides a multilingual platform for exchange and discussion of data models in medicine, both for medical research and healthcare. The system is developed in collaboration with the University Library of Münster to ensure sustainability. A web front-end enables users to search, view, download and discuss data models. Eleven different export formats are available (ODM, PDF, CDA, CSV, MACRO-XML, REDCap, SQL, SPSS, ADL, R, XLSX). MDM contents were analysed with descriptive statistics. MDM contains 4387 current versions of data models (in total 10,963 versions). 2475 of these models belong to oncology trials. The most common keyword (n = 3826) is 'Clinical Trial'; most frequent diseases are breast cancer, leukemia, lung and colorectal neoplasms. Most common languages of data elements are English (n = 328,557) and German (n = 68,738). Semantic annotations (UMLS codes) are available for 108,412 data items, 2453 item groups and 35,361 code list items. Overall 335,087 UMLS codes are assigned with 21,847 unique codes. Few UMLS codes are used several thousand times, but there is a long tail of rarely used codes in the frequency distribution. Expected benefits of the MDM portal are improved and accelerated design of medical data models by sharing best practice, more standardised data models with semantic annotation and better information

  5. Comparison of WinSLAMM Modeled Results with Monitored Bioinfiltration Data during Kansas City Green Infrastructure Demonstration Project

    EPA Science Inventory

    The Water Services Department (WSD) in Kansas City, Missouri (KCMO) has conducted extensive modeling and economic studies of its combined sewer system (CSS) over the last several years. A number of green infrastructure (GI) solutions were identified and constructed to reduce dis...

  6. Comparison of WinSLAMM Modeled Results with Monitored Bioinfiltration Data during Kansas City Green Infrastructure Demonstration Project

    EPA Science Inventory

    The Water Services Department (WSD) in Kansas City, Missouri (KCMO) has conducted extensive modeling and economic studies of its combined sewer system (CSS) over the last several years. A number of green infrastructure (GI) solutions were identified and constructed to reduce dis...

  7. The ISB model (infrastructure, service, behaviour): a tool for waste practitioners.

    PubMed

    Timlett, R; Williams, I D

    2011-06-01

    In response to the EU Landfill Directive and the challenge of mitigating climate change, the UK government (nationally and locally) must develop strategies and policies to reduce, recycle, compost and recover waste. Best practice services that yield high recycling rates, such as alternate weekly collections, are now largely mainstream in suitable areas. However, national recycling performance is short of what is needed; policy makers must look for innovative ways to meet challenging recycling targets. Increasingly, local authorities are using behaviour change interventions to encourage the public to recycle; these tend to be based on the premise that an individuals' behaviour is predetermined by their values. In practice, this has led to a host of initiatives that attempt to change individuals' behaviour without addressing situational barriers. In this paper, we argue that that a behaviour-centric approach has limited effectiveness. Using an analysis of the literature and studies that investigated recycling participation in the city of Portsmouth, we have identified three significant clusters that can facilitate effective recycling: infrastructure, service and behaviour (ISB). We present the ISB model - a tool that can be used by waste practitioners when planning interventions to maximise recycling to better understand the situation and context for behaviour. Analysis using the ISB model suggests that current best practice, "business as usual" interventions could realistically achieve a national recycling rate of 50%. If the UK is to move towards zero waste, policy makers must look "upstream" for interventions that change the situational landscape.

  8. The extreme vulnerability of interdependent spatially embedded networks

    NASA Astrophysics Data System (ADS)

    Bashan, Amir; Berezin, Yehiel; Buldyrev, Sergey V.; Havlin, Shlomo

    2013-10-01

    Recent studies show that in interdependent networks a very small failure in one network may lead to catastrophic consequences. Above a critical fraction of interdependent nodes, even a single node failure can invoke cascading failures that may abruptly fragment the system, whereas below this critical dependency a failure of a few nodes leads only to a small amount of damage to the system. So far, research has focused on interdependent random networks without space limitations. However, many real systems, such as power grids and the Internet, are not random but are spatially embedded. Here we analytically and numerically study the stability of interdependent spatially embedded networks modelled as lattice networks. Surprisingly, we find that in lattice systems, in contrast to non-embedded systems, there is no critical dependency and any small fraction of interdependent nodes leads to an abrupt collapse. We show that this extreme vulnerability of very weakly coupled lattices is a consequence of the critical exponent describing the percolation transition of a single lattice.

  9. Freva - Freie Univ Evaluation System Framework for Scientific Infrastructures in Earth System Modeling

    NASA Astrophysics Data System (ADS)

    Kadow, Christopher; Illing, Sebastian; Kunst, Oliver; Schartner, Thomas; Kirchner, Ingo; Rust, Henning W.; Cubasch, Ulrich; Ulbrich, Uwe

    2016-04-01

    The Freie Univ Evaluation System Framework (Freva - freva.met.fu-berlin.de) is a software infrastructure for standardized data and tool solutions in Earth system science. Freva runs on high performance computers to handle customizable evaluation systems of research projects, institutes or universities. It combines different software technologies into one common hybrid infrastructure, including all features present in the shell and web environment. The database interface satisfies the international standards provided by the Earth System Grid Federation (ESGF). Freva indexes different data projects into one common search environment by storing the meta data information of the self-describing model, reanalysis and observational data sets in a database. This implemented meta data system with its advanced but easy-to-handle search tool supports users, developers and their plugins to retrieve the required information. A generic application programming interface (API) allows scientific developers to connect their analysis tools with the evaluation system independently of the programming language used. Users of the evaluation techniques benefit from the common interface of the evaluation system without any need to understand the different scripting languages. Facilitation of the provision and usage of tools and climate data automatically increases the number of scientists working with the data sets and identifying discrepancies. The integrated web-shell (shellinabox) adds a degree of freedom in the choice of the working environment and can be used as a gate to the research projects HPC. Plugins are able to integrate their e.g. post-processed results into the database of the user. This allows e.g. post-processing plugins to feed statistical analysis plugins, which fosters an active exchange between plugin developers of a research project. Additionally, the history and configuration sub-system stores every analysis performed with the evaluation system in a database

  10. Redundant Interdependencies Boost the Robustness of Multiplex Networks

    NASA Astrophysics Data System (ADS)

    Radicchi, Filippo; Bianconi, Ginestra

    2017-01-01

    In the analysis of the robustness of multiplex networks, it is commonly assumed that a node is functioning only if its interdependent nodes are simultaneously functioning. According to this model, a multiplex network becomes more and more fragile as the number of layers increases. In this respect, the addition of a new layer of interdependent nodes to a preexisting multiplex network will never improve its robustness. Whereas such a model seems appropriate to understand the effect of interdependencies in the simplest scenario of a network composed of only two layers, it may seem unsuitable to characterize the robustness of real systems formed by multiple network layers. In fact, it seems unrealistic that a real system evolved, through the development of multiple layers of interactions, towards a fragile structure. In this paper, we introduce a model of percolation where the condition that makes a node functional is that the node is functioning in at least two of the layers of the network. The model reduces to the commonly adopted percolation model for multiplex networks when the number of layers equals two. a larger number of layers, however, the model describes a scenario where the addition of new layers boosts the robustness of the system by creating redundant interdependencies among layers. We prove this fact thanks to the development of a message-passing theory that is able to characterize the model in both synthetic and real-world multiplex graphs.

  11. Scaling wetland green infrastructure?practices to watersheds using modeling approaches

    EPA Science Inventory

    Green infrastructure practices are typically implemented at the plot or local scale. Wetlands in the landscape can serve important functions at these scales and can mediate biogeochemical and hydrological processes, particularly when juxtaposed with low impact development (LID)....

  12. Scaling wetland green infrastructure?practices to watersheds using modeling approaches

    EPA Science Inventory

    Green infrastructure practices are typically implemented at the plot or local scale. Wetlands in the landscape can serve important functions at these scales and can mediate biogeochemical and hydrological processes, particularly when juxtaposed with low impact development (LID)....

  13. Modelling mass movement susceptibility for Alpine infrastructure in the Karavank Mountains (Austria/Slovenia)

    NASA Astrophysics Data System (ADS)

    Bauer, C.; Kern, K.; Lieb, G. K.

    2012-12-01

    The aim of this study is the generation of indicative susceptibility maps on a regional scale that can be used as a decision support tool for land use management (i.e. risk potential on alpine infrastructure). The study in particular focuses on geomorphological processes (rockfall and debris flows in unconsolidated rock) that reshape the land surface by erosion, transport and deposition. When interacting with human activity (e.g. road, alpine trails) such naturally occurring processes can quickly become natural hazards. The study area is located in the Karavank Mountains, a border region between Austria and Slovenia, and covers approx. 200 sq km with maximum altitudes above 2.000 m a.s.l. (Hochstuhl: 2.237 m a.s.l.). The Karavanks form an east-west striking mountain chain (approx. 120 km total length) of the southeastern Alps that consists mainly of thick Triassic carbonate sequences and, with less extent, Paleozoic carbonate rocks crystalline rocks. The mountain chain is separated into the Northern Karavanks and the Southern Karavanks by a structural boundary (Periadriatic Line). In addition, the area is known for extreme weather events due to Adriatic cyclones with daily accumulated precipitation of more than 200 mm that regularly trigger hazardous and torrential processes like rockfall events and debris flows. To assess the triggering factors and trajectories, two different disposition and process models (one for rockfall and one for debris flow, respectively) were developed. The information about potential source areas was obtained by combining various types of information (e.g. DTM derivatives, geotechnical units, vegetation). Threshold slope values for potential rockfall source areas were attributed to different lithological units according to field observations. The defined threshold slope angles cover values from 42° in Triassic carbonates up to 46° in massive crystalline rocks. For debris flows areas with a slope inclination < 20° as well as areas with

  14. Application of a multilevel access model in the development of a security infrastructure for a clinical information system.

    PubMed Central

    Henkind, S. J.; Orlowski, J. M.; Skarulis, P. C.

    1993-01-01

    A number of security models including the military model, the Institute of Medicine model, and the matrix model have been utilized, or proposed, for protecting clinical information systems. These models have a number of limitations, however, and of particular concern, they focus on security as opposed to access. In this paper we describe a multilevel access model which can overcome some of these limitations. This model is currently being utilized in the development of an improved security infrastructure for a clinical information system. PMID:8130553

  15. Triple point in correlated interdependent networks

    NASA Astrophysics Data System (ADS)

    Valdez, L. D.; Macri, P. A.; Stanley, H. E.; Braunstein, L. A.

    2013-11-01

    Many real-world networks depend on other networks, often in nontrivial ways, to maintain their functionality. These interdependent “networks of networks” are often extremely fragile. When a fraction 1-p of nodes in one network randomly fails, the damage propagates to nodes in networks that are interdependent and a dynamic failure cascade occurs that affects the entire system. We present dynamic equations for two interdependent networks that allow us to reproduce the failure cascade for an arbitrary pattern of interdependency. We study the “rich club” effect found in many real interdependent network systems in which the high-degree nodes are extremely interdependent, correlating a fraction α of the higher-degree nodes on each network. We find a rich phase diagram in the plane p-α, with a triple point reminiscent of the triple point of liquids that separates a nonfunctional phase from two functional phases.

  16. Triple point in correlated interdependent networks.

    PubMed

    Valdez, L D; Macri, P A; Stanley, H E; Braunstein, L A

    2013-11-01

    Many real-world networks depend on other networks, often in nontrivial ways, to maintain their functionality. These interdependent "networks of networks" are often extremely fragile. When a fraction 1-p of nodes in one network randomly fails, the damage propagates to nodes in networks that are interdependent and a dynamic failure cascade occurs that affects the entire system. We present dynamic equations for two interdependent networks that allow us to reproduce the failure cascade for an arbitrary pattern of interdependency. We study the "rich club" effect found in many real interdependent network systems in which the high-degree nodes are extremely interdependent, correlating a fraction α of the higher-degree nodes on each network. We find a rich phase diagram in the plane p-α, with a triple point reminiscent of the triple point of liquids that separates a nonfunctional phase from two functional phases.

  17. Green Infrastructure Design Based on Spatial Conservation Prioritization and Modeling of Biodiversity Features and Ecosystem Services

    NASA Astrophysics Data System (ADS)

    Snäll, Tord; Lehtomäki, Joona; Arponen, Anni; Elith, Jane; Moilanen, Atte

    2016-02-01

    There is high-level political support for the use of green infrastructure (GI) across Europe, to maintain viable populations and to provide ecosystem services (ES). Even though GI is inherently a spatial concept, the modern tools for spatial planning have not been recognized, such as in the recent European Environment Agency (EEA) report. We outline a toolbox of methods useful for GI design that explicitly accounts for biodiversity and ES. Data on species occurrence, habitats, and environmental variables are increasingly available via open-access internet platforms. Such data can be synthesized by statistical species distribution modeling, producing maps of biodiversity features. These, together with maps of ES, can form the basis for GI design. We argue that spatial conservation prioritization (SCP) methods are effective tools for GI design, as the overall SCP goal is cost-effective allocation of conservation efforts. Corridors are currently promoted by the EEA as the means for implementing GI design, but they typically target the needs of only a subset of the regional species pool. SCP methods would help to ensure that GI provides a balanced solution for the requirements of many biodiversity features (e.g., species, habitat types) and ES simultaneously in a cost-effective manner. Such tools are necessary to make GI into an operational concept for combating biodiversity loss and promoting ES.

  18. ARMA modelled time-series classification for structural health monitoring of civil infrastructure

    NASA Astrophysics Data System (ADS)

    Peter Carden, E.; Brownjohn, James M. W.

    2008-02-01

    Structural health monitoring (SHM) is the subject of a great deal of ongoing research leading to the capability that reliable remote monitoring of civil infrastructure would allow a shift from schedule-based to condition-based maintenance strategies. The first stage in such a system would be the indication of an extraordinary change in the structure's behaviour. A statistical classification algorithm is presented here which is based on analysis of a structure's response in the time domain. The time-series responses are fitted with Autoregressive Moving Average (ARMA) models and the ARMA coefficients are fed to the classifier. The classifier is capable of learning in an unsupervised manner and of forming new classes when the structural response exhibits change. The approach is demonstrated with experimental data from the IASC-ASCE benchmark four-storey frame structure, the Z24 bridge and the Malaysia-Singapore Second Link bridge. The classifier is found to be capable of identifying structural change in all cases and of forming distinct classes corresponding to different structural states in most cases.

  19. Green Infrastructure Design Based on Spatial Conservation Prioritization and Modeling of Biodiversity Features and Ecosystem Services.

    PubMed

    Snäll, Tord; Lehtomäki, Joona; Arponen, Anni; Elith, Jane; Moilanen, Atte

    2016-02-01

    There is high-level political support for the use of green infrastructure (GI) across Europe, to maintain viable populations and to provide ecosystem services (ES). Even though GI is inherently a spatial concept, the modern tools for spatial planning have not been recognized, such as in the recent European Environment Agency (EEA) report. We outline a toolbox of methods useful for GI design that explicitly accounts for biodiversity and ES. Data on species occurrence, habitats, and environmental variables are increasingly available via open-access internet platforms. Such data can be synthesized by statistical species distribution modeling, producing maps of biodiversity features. These, together with maps of ES, can form the basis for GI design. We argue that spatial conservation prioritization (SCP) methods are effective tools for GI design, as the overall SCP goal is cost-effective allocation of conservation efforts. Corridors are currently promoted by the EEA as the means for implementing GI design, but they typically target the needs of only a subset of the regional species pool. SCP methods would help to ensure that GI provides a balanced solution for the requirements of many biodiversity features (e.g., species, habitat types) and ES simultaneously in a cost-effective manner. Such tools are necessary to make GI into an operational concept for combating biodiversity loss and promoting ES.

  20. Environmental Life Cycle Assessment Model for Soil Bioengineering Measures on Infrastructure Slopes

    NASA Astrophysics Data System (ADS)

    Hoerbinger, Stephan; Obriejetan, Michael

    2015-04-01

    Soil bioengineering techniques can be a helpful instrument for civil engineers taking into account not only technical but also ecological, socio-economic and sustainability aspects. Environmental Life Cycle Assessment (LCA) models can serve as supplementary evaluation methods to economic analyses, taking into account the resource demand and environmental burdens of engineering structures. The presented LCA model includes the functional grade of structures in addition to environmental aspects. When using vegetation as living construction material, several factors have to be considered. There is the provision of ecosystem services of plants, such as the stabilization of the slope through its root-system, CO2 sequestration through biomass production et cetera. However, it must be noted that vegetation can cause security issues on infrastructure facilities and entail costs through the necessity of maintenance works. For this reason, it is necessary to already define the target systems during the planning phase of a soil bioengineering structure. In this way, necessary measures can be adapted in all life cycles of a structure. The objective of the presented LCA model is to serve as a basis for the definition of target systems. In the designed LCA model the soil bioengineering structures are divided into four life phases; construction phase, operational phase, end of life phase and subsequent use phase. A main objective of the LCA model is the understanding of the "Cumulative Energy Demand" (CED) and "Global Warming Potential" (GWP) of soil bioengineering structures during all life cycle phases. Additionally, the biomass production and the CO2 sequestration potential of the used plants are regarded as well as the functional integrity of the soil bioengineering system. In the life phase of soil bioengineering structures, a major part of the energy input is required during the construction phase. This is mainly due to the cumulative energy demand of the inert materials

  1. Strategic preparedness for recovery from catastrophic risks to communities and infrastructure systems of systems.

    PubMed

    Haimes, Yacov Y

    2012-11-01

    Natural and human-induced disasters affect organizations in myriad ways because of the inherent interconnectedness and interdependencies among human, cyber, and physical infrastructures, but more importantly, because organizations depend on the effectiveness of people and on the leadership they provide to the organizations they serve and represent. These human-organizational-cyber-physical infrastructure entities are termed systems of systems. Given the multiple perspectives that characterize them, they cannot be modeled effectively with a single model. The focus of this article is: (i) the centrality of the states of a system in modeling; (ii) the efficacious role of shared states in modeling systems of systems, in identification, and in the meta-modeling of systems of systems; and (iii) the contributions of the above to strategic preparedness, response to, and recovery from catastrophic risk to such systems. Strategic preparedness connotes a decision-making process and its associated actions. These must be: implemented in advance of a natural or human-induced disaster, aimed at reducing consequences (e.g., recovery time, community suffering, and cost), and/or controlling their likelihood to a level considered acceptable (through the decisionmakers' implicit and explicit acceptance of various risks and tradeoffs). The inoperability input-output model (IIM), which is grounded on Leontief's input/output model, has enabled the modeling of interdependent subsystems. Two separate modeling structures are introduced. These are: phantom system models (PSM), where shared states constitute the essence of modeling coupled systems; and the IIM, where interdependencies among sectors of the economy are manifested by the Leontief matrix of technological coefficients. This article demonstrates the potential contributions of these two models to each other, and thus to more informative modeling of systems of systems schema. The contributions of shared states to this modeling and to

  2. The robustness of interdependent clustered networks

    NASA Astrophysics Data System (ADS)

    Huang, Xuqing; Shao, Shuai; Wang, Huijuan; Buldyrev, Sergey V.; Stanley, H. Eugene; Havlin, Shlomo

    2013-01-01

    It was recently found that cascading failures can cause the abrupt breakdown of a system of interdependent networks. Using the percolation method developed for single clustered networks by Newman (Phys. Rev. Lett., 103 (2009) 058701), we develop an analytical method for studying how clustering within the networks of a system of interdependent networks affects the system's robustness. We find that clustering significantly increases the vulnerability of the system, which is represented by the increased value of the percolation threshold pc in interdependent networks.

  3. Modeling the demand reduction input-output (I-O) inoperability due to terrorism of interconnected infrastructures.

    PubMed

    Santos, Joost R; Haimes, Yacov Y

    2004-12-01

    Interdependency analysis in the context of this article is a process of assessing and managing risks inherent in a system of interconnected entities (e.g., infrastructures or industry sectors). Invoking the principles of input-output (I-O) and decomposition analysis, the article offers a framework for describing how terrorism-induced perturbations can propagate due to interconnectedness. Data published by the Bureau of Economic Analysis Division of the U.S. Department of Commerce is utilized to present applications to serve as test beds for the proposed framework. Specifically, a case study estimating the economic impact of airline demand perturbations to national-level U.S. sectors is made possible using I-O matrices. A ranking of the affected sectors according to their vulnerability to perturbations originating from a primary sector (e.g., air transportation) can serve as important input to risk management. For example, limited resources can be prioritized for the "top-n" sectors that are perceived to suffer the greatest economic losses due to terrorism. In addition, regional decomposition via location quotients enables the analysis of local-level terrorism events. The Regional I-O Multiplier System II (RIMS II) Division of the U.S. Department of Commerce is the agency responsible for releasing the regional multipliers for various geographical resolutions (economic areas, states, and counties). A regional-level case study demonstrates a process of estimating the economic impact of transportation-related scenarios on industry sectors within Economic Area 010 (the New York metropolitan region and vicinities).

  4. TRENT2D WG: a smart web infrastructure for debris-flow modelling and hazard assessment

    NASA Astrophysics Data System (ADS)

    Zorzi, Nadia; Rosatti, Giorgio; Zugliani, Daniel; Rizzi, Alessandro; Piffer, Stefano

    2016-04-01

    Mountain regions are naturally exposed to geomorphic flows, which involve large amounts of sediments and induce significant morphological modifications. The physical complexity of this class of phenomena represents a challenging issue for modelling, leading to elaborate theoretical frameworks and sophisticated numerical techniques. In general, geomorphic-flows models proved to be valid tools in hazard assessment and management. However, model complexity seems to represent one of the main obstacles to the diffusion of advanced modelling tools between practitioners and stakeholders, although the UE Flood Directive (2007/60/EC) requires risk management and assessment to be based on "best practices and best available technologies". Furthermore, several cutting-edge models are not particularly user-friendly and multiple stand-alone software are needed to pre- and post-process modelling data. For all these reasons, users often resort to quicker and rougher approaches, leading possibly to unreliable results. Therefore, some effort seems to be necessary to overcome these drawbacks, with the purpose of supporting and encouraging a widespread diffusion of the most reliable, although sophisticated, modelling tools. With this aim, this work presents TRENT2D WG, a new smart modelling solution for the state-of-the-art model TRENT2D (Armanini et al., 2009, Rosatti and Begnudelli, 2013), which simulates debris flows and hyperconcentrated flows adopting a two-phase description over a mobile bed. TRENT2D WG is a web infrastructure joining advantages offered by the software-delivering model SaaS (Software as a Service) and by WebGIS technology and hosting a complete and user-friendly working environment for modelling. In order to develop TRENT2D WG, the model TRENT2D was converted into a service and exposed on a cloud server, transferring computational burdens from the user hardware to a high-performing server and reducing computational time. Then, the system was equipped with an

  5. The effects of beliefs about AIDS-related death on quality of life in Chinese married couples with both husband and wife infected with HIV: examining congruence using the actor-partner interdependence model.

    PubMed

    Yu, Nancy Xiaonan

    2017-06-17

    This cross-sectional study examined the actor and partner effects of beliefs about AIDS-related death on quality of life in Chinese married couples in which both were living with HIV. A total of 49 married couples in central China who were both infected with HIV completed measures to assess their beliefs about AIDS-related death and quality of life. In the actor-partner interdependence model, the husband-wife dyad showed congruence in their beliefs about AIDS-related death (r = .40) and quality of life-mental health summary (r = .31), respectively, within the couple. Both actor and partner effects of beliefs about AIDS-related death on the quality of life-mental health summary, rather than the quality of life-physical health summary, were significant within the husband-wife dyad. Our findings indicate the dyadic interdependence of beliefs about AIDS-related death and the quality of life-mental health summary in married couples. Psychosocial interventions that target a reduction of negative death beliefs and enhancement of well-being in the context of HIV should treat the couple as a unit.

  6. Regional scale monitoring of atmospheric water vapor content with GNSS infrastructure and numerical model predictions

    NASA Astrophysics Data System (ADS)

    Rozsa, Szabolcs; Zeno Gyongyosi, Andras; Bartholy, Judit; Kern, Aniko; Weidinger, Tamas; Decsi, Anna; Kenyeres, Ambrus; Dombai, Ferenc; Adam, Jozsef

    2013-04-01

    Water, which is present in the troposphere in all three phases, has a unique feature among atmospheric components. Besides the formation of clouds and precipitation, it has a key role in atmospheric energy transport and it is the most important greenhouse gas. Due to its temporal and spatial variability, the monitoring of water in the atmosphere requires observations with high temporal and spatial resolution. The water content in the air can be measured directly by radiosondes, in order to monitor the vertical structure of the lower 30-35 km. In addition, remote sensing devices installed on spacecrafts, airframes and the Earth's surface are also available for the measurement of water content. These sensors yield the total water amount of a column of air, the so-called precipitable water (PW) content, in units of kg m-2 or mm. Global Navigation Satellite Systems (GNSS) are capable to monitor various parameters of the atmosphere. With the establishment of the active GNSS network in Hungary, it became feasible to quantify and monitor PW from GNSS observations. The advantage of this solution is the high spatial and temporal resolution of the observations. Modeling of the weather system is performed by the numerical solution of the atmospheric hydro-thermodynamic set of equations. Based on the actual weather as initial condition, the parameters of the expected weather can be estimated. In this study two different meteorological models (WRF and DBCRAS) - run at the Department of Meteorology at Eotvos Lorand University for weather research and forecasting purposes - are compared with the PW estimates provided by the GNSS infrastructure for 7 months in 2011. Deviation between measured data from different sources is near 1 mm in most cases. Forecast PW values show larger deviation from measured data, which results from weather condition dependent forecast errors.

  7. Green Infrastructure

    EPA Science Inventory

    Large paved surfaces keep rain from infiltrating the soil and recharging groundwater supplies. Alternatively, Green infrastructure uses natural processes to reduce and treat stormwater in place by soaking up and storing water. These systems provide many environmental, social, an...

  8. Green Infrastructure

    EPA Science Inventory

    Large paved surfaces keep rain from infiltrating the soil and recharging groundwater supplies. Alternatively, Green infrastructure uses natural processes to reduce and treat stormwater in place by soaking up and storing water. These systems provide many environmental, social, an...

  9. Blue and green infrastructures implementation to solve stormwater management issues in a new urban development project - a modelling approach

    NASA Astrophysics Data System (ADS)

    Versini, Pierre-Antoine; Tchiguirinskaia, Ioulia; Schertzer, Daniel

    2016-04-01

    Concentrating buildings and socio-economic activities, urban areas are particularly vulnerable to hydrological risks. Modification in climate may intensify already existing issues concerning stormwater management (due to impervious area) and water supply (due to the increase of the population). In this context, water use efficiency and best water management practices are key-issues in the urban environment already stressed. Blue and green infrastructures are nature-based solutions that provide synergy of the blue and green systems to provide multifunctional solutions and multiple benefits: increased amenity, urban heat island improvement, biodiversity, reduced energy requirements... They are particularly efficient to reduce the potential impact of new and existing developments with respect to stormwater and/or water supply issues. The Multi-Hydro distributed rainfall-runoff model represents an adapted tool to manage the impacts of such infrastructures at the urban basin scale. It is a numerical platform that makes several models interact, each of them representing a specific portion of the water cycle in an urban environment: surface runoff and infiltration depending on a land use classification, sub-surface processes and sewer network drainage. Multi-Hydro is still being developed at the Ecole des Ponts (open access from https://hmco.enpc.fr/Tools-Training/Tools/Multi-Hydro.php) to take into account the wide complexity of urban environments. The latest advancements have made possible the representation of several blue and green infrastructures (green roof, basin, swale). Applied in a new urban development project located in the Paris region, Multi-Hydro has been used to simulate the impact of blue and green infrastructures implementation. It was particularly focused on their ability to fulfil regulation rules established by local stormwater managers in order to connect the parcel to the sewer network. The results show that a combination of several blue and green

  10. Co-integration Model of Logistics Infrastructure Investment and Regional Economic Growth in Central China

    NASA Astrophysics Data System (ADS)

    Hu, Kai; Gan, Xiao-qing; Gao, Kuo

    The speed of logistics infrastructures investment in Central China is still lower than other regions since the rise of the central region strategy was put forward. And the ration of freight turnover was also being down. The analysis with the relations among the central region of the logistics investment, logistics value-added and GDP, found that three variables exists co-integration relation. And found that the investment in logistics infrastructure was the Granger reason of the GDP, the investment in logistics infrastructure and logistics value-added was the Granger reason for each other. According to the analysis, some countermeasures be put forward as following: accelerate the speed of logistics investment, optimize logistics environment, promote the logistics capability, reduce logistics cost, and so on.

  11. Evaluating Approaches to a Coupled Model for Arctic Coastal Erosion, Infrastructure Risk, and Associated Coastal Hazards

    NASA Astrophysics Data System (ADS)

    Frederick, J. M.; Bull, D. L.; Jones, C.; Roberts, J.; Thomas, M. A.

    2016-12-01

    Arctic coastlines are receding at accelerated rates, putting existing and future activities in the developing coastal Arctic environment at extreme risk. For example, at Oliktok Long Range Radar Site, erosion that was not expected until 2040 was reached as of 2014 (Alaska Public Media). As the Arctic Ocean becomes increasingly ice-free, rates of coastal erosion will likely continue to increase as (a) increased ice-free waters generate larger waves, (b) sea levels rise, and (c) coastal permafrost soils warm and lose strength/cohesion. Due to the complex and rapidly varying nature of the Arctic region, little is known about the increasing waves, changing circulation, permafrost soil degradation, and the response of the coastline to changes in these combined conditions. However, as scientific focus has been shifting towards the polar regions, Arctic science is rapidly advancing, increasing our understanding of complex Arctic processes. Our present understanding allows us to begin to develop and evaluate the coupled models necessary for the prediction of coastal erosion in support of Arctic risk assessments. What are the best steps towards the development of a coupled model for Arctic coastal erosion? This work focuses on our current understanding of Arctic conditions and identifying the tools and methods required to develop an integrated framework capable of accurately predicting Arctic coastline erosion and assessing coastal risk and hazards. We will present a summary of the state-of-the-science, and identify existing tools and methods required to develop an integrated diagnostic and monitoring framework capable of accurately predicting and assessing Arctic coastline erosion, infrastructure risk, and coastal hazards. The summary will describe the key coastal processes to simulate, appropriate models to use, effective methods to couple existing models, and identify gaps in knowledge that require further attention to make progress in our understanding of Arctic coastal

  12. Physical and mental health in patients and spouses after intensive care of severe sepsis: a dyadic perspective on long-term sequelae testing the Actor-Partner Interdependence Model.

    PubMed

    Rosendahl, Jenny; Brunkhorst, Frank M; Jaenichen, Doreen; Strauss, Bernhard

    2013-01-01

    To examine the physical and mental long-term consequences of intensive care treatment for severe sepsis in patients and their spouses under consideration of a dyadic perspective using the Actor-Partner Interdependence Model. Prospective study. Patients and spouses who had requested advice from the German Sepsis Aid's National Helpline were invited to participate. We included 55 patients who survived severe sepsis and their spouses an average of 55 months after ICU discharge. The Hospital Anxiety and Depression Scale, the Short Form-12 Health Survey, the Posttraumatic Stress Scale-10, and the Giessen Subjective Complaints List-24 were used. The Actor-Partner Interdependence Model was tested using multilevel modeling with the actor effect representing the impact of a person's posttraumatic stress symptoms on his or her own mental health-related quality of life and the partner effect characterized by the impact of a person's posttraumatic stress symptoms on his or her partner's mental health-related quality of life. A significant proportion of patients and spouses (26%-42%) showed clinically relevant scores of anxiety and depression; approximately two thirds of both, patients and spouses, reported posttraumatic stress symptoms defined as clinically relevant. Compared with normative samples, patients reported greater anxiety, poorer mental and physical health-related quality of life, and greater exhaustion; spouses had an impaired mental health-related quality of life and increased anxiety. Testing the Actor-Partner Interdependence Model revealed that posttraumatic stress symptoms were related to patients' (β = -0.71, 95% confidence interval -0.88 to -0.54) and spouses' (β = -0.62, 95% confidence interval -0.79 to -0.46) own mental health-related quality of life. Posttraumatic stress symptoms further influenced the mental health-related quality of life of the respective other (β = -0.18, 95% confidence interval -0.35 to -0.003 for patients; β = -0.15, 95

  13. National health information infrastructure model: a milestone for health information management education realignment.

    PubMed

    Meidani, Zahra; Sadoughi, Farhnaz; Ahmadi, Maryam; Maleki, Mohammad Reza; Zohoor, Alireza; Saddik, Basema

    2012-01-01

    Challenges and drawbacks of the health information management (HIM) curriculum at the Master's degree were examined, including lack of well-established computing sciences and inadequacy to give rise to specific competencies. Information management was condensed to the hospital setting to intensify the indispensability of a well-organized educational campaign. The healthcare information dimensions of a national health information infrastructure (NHII) model present novel requirements for HIM education. Articles related to challenges and barriers to adoption of the personal health record (PHR), the core component of personal health dimension of an NHII, were searched through sources including Science Direct, ProQuest, and PubMed. Through a literature review, concerns about the PHR that are associated with HIM functions and responsibilities were extracted. In the community/public health dimension of the NHII the main components have been specified, and the targeted information was gathered through literature review, e-mail, and navigation of international and national organizations. Again, topics related to HIM were evoked. Using an information system (decision support system, artificial neural network, etc.) to support PHR media and content, patient education, patient-HIM communication skills, consumer health information, conducting a surveillance system in other areas of healthcare such as a risk factor surveillance system, occupational health, using an information system to analyze aggregated data including a geographic information system, data mining, online analytical processing, public health vocabulary and classification system, and emerging automated coding systems pose major knowledge gaps in HIM education. Combining all required skills and expertise to handle personal and public dimensions of healthcare information in a single curriculum is simply impractical. Role expansion and role extension for HIM professionals should be defined based on the essence of

  14. Informatics Infrastructure for Syndrome Surveillance, Decision Support, Reporting, and Modeling of Critical Illness

    PubMed Central

    Herasevich, Vitaly; Pickering, Brian W.; Dong, Yue; Peters, Steve G.; Gajic, Ognjen

    2010-01-01

    OBJECTIVE: To develop and validate an informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness. METHODS: Using open-schema data feeds imported from electronic medical records (EMRs), we developed a near-real-time relational database (Multidisciplinary Epidemiology and Translational Research in Intensive Care Data Mart). Imported data domains included physiologic monitoring, medication orders, laboratory and radiologic investigations, and physician and nursing notes. Open database connectivity supported the use of Boolean combinations of data that allowed authorized users to develop syndrome surveillance, decision support, and reporting (data “sniffers”) routines. Random samples of database entries in each category were validated against corresponding independent manual reviews. RESULTS: The Multidisciplinary Epidemiology and Translational Research in Intensive Care Data Mart accommodates, on average, 15,000 admissions to the intensive care unit (ICU) per year and 200,000 vital records per day. Agreement between database entries and manual EMR audits was high for sex, mortality, and use of mechanical ventilation (κ, 1.0 for all) and for age and laboratory and monitored data (Bland-Altman mean difference ± SD, 1(0) for all). Agreement was lower for interpreted or calculated variables, such as specific syndrome diagnoses (κ, 0.5 for acute lung injury), duration of ICU stay (mean difference ± SD, 0.43±0.2), or duration of mechanical ventilation (mean difference ± SD, 0.2±0.9). CONCLUSION: Extraction of essential ICU data from a hospital EMR into an open, integrative database facilitates process control, reporting, syndrome surveillance, decision support, and outcome research in the ICU. PMID:20194152

  15. A review of interdependence of sustainable building

    SciTech Connect

    Ju, Chuanjing; Ning, Yan; Pan, Wei

    2016-01-15

    ABSTRACT: Despite the worldwide promotion of the sustainable building (SB) approach, its associated interdependence has seldom been explored. This knowledge gap is significant given the paradigm shift of regarding SBs as complex socio-technical systems embedded with multifaceted interdependence. The aim of this paper is to examine the interdependence of SB through a literature review. The literature review was guided by a framework comprising three dimensions of SB systems, i.e., building performance, methodology and stakeholders, on their theoretical grounds ranged from reductionism to holism. In order to articulate the integration of the three dimensions, this paper examined zero carbon building as a specific case of SB. The findings contribute an innovative approach to examining the interdependence of SB, and should guide the development of strategies for managing the trade-offs in delivering SBs. - Highlights: • Performance scope of sustainable building triggers interdependence. • Material flow from cradle to cradle causes interdependence. • Interdependence occurs between the building and their context. • Interdependence exists in stakeholders' participation.

  16. Interdependent figure-of-merit software development

    NASA Technical Reports Server (NTRS)

    Ramohalli, K.; Kirsch, T.

    1989-01-01

    This program was undertaken in order to understand the complex nature of interdependent performance in space missions. At the first step in a planned sequence of progress, a spread sheet program was developed to evaluate different fuel/oxidizer combinations for a specific Martian mission. This program is to be linked with output attained using sophisticated software produced by Gordon and McBride. The programming to date makes use of 11 independent parameters. Optimization is essential when faced with the incredible magnitude of costs, risks, and benefits involved with space exploration. A system of weights needs to be devised on which to measure the options. It was the goal to devise a Figure of Merit (FoM) on which different choices can be presented and made. The plan was to model typical missions to Mars, identify the parameters, and vary them until the best one is found. Initially, most of the focus was placed on propellant selection.

  17. A sustainability model based on cloud infrastructures for core and downstream Copernicus services

    NASA Astrophysics Data System (ADS)

    Manunta, Michele; Calò, Fabiana; De Luca, Claudio; Elefante, Stefano; Farres, Jordi; Guzzetti, Fausto; Imperatore, Pasquale; Lanari, Riccardo; Lengert, Wolfgang; Zinno, Ivana; Casu, Francesco

    2014-05-01

    SAR products generation and exploitation. In particular, CNR is porting the multi-temporal DInSAR technique referred to as Small Baseline Subset (SBAS) into the ESA G-POD (Grid Processing On Demand) and CIOP (Cloud Computing Operational Pilot) platforms (Elefante et al., 2013) within the SuperSites Exploitation Platform (SSEP) project, which aim is contributing to the development of an ecosystem for big geo-data processing and dissemination. This work focuses on presenting the main results that have been achieved by the DORIS project concerning the use of advanced DInSAR products for supporting CPA during the risk management cycle. Furthermore, based on the DORIS experience, a sustainability model for Core and Downstream Copernicus services based on the effective exploitation of cloud platforms is proposed. In this framework, remote sensing community, both service providers and users, can significantly benefit from the Helix Nebula-The Science Cloud initiative, created by European scientific institutions, agencies, SMEs and enterprises to pave the way for the development and exploitation of a cloud computing infrastructure for science. REFERENCES Elefante, S., Imperatore, P. , Zinno, I., M. Manunta, E. Mathot, F. Brito, J. Farres, W. Lengert, R. Lanari, F. Casu, 2013, "SBAS-DINSAR Time series generation on cloud computing platforms". IEEE IGARSS Conference, Melbourne (AU), July 2013.

  18. Enhancing resilience of interdependent networks by healing

    NASA Astrophysics Data System (ADS)

    Stippinger, Marcell; Kertész, János

    2014-12-01

    Interdependent networks are characterized by two kinds of interactions: The usual connectivity links within each network and the dependency links coupling nodes of different networks. Due to the latter links such networks are known to suffer from cascading failures and catastrophic breakdowns. When modeling these phenomena, usually one assumes that a fraction of nodes gets damaged in one of the networks, which is followed possibly by a cascade of failures. In real life the initiating failures do not occur at once and effort is made to replace the ties eliminated due to the failing nodes. Here we study a dynamic extension of the model of interdependent networks and introduce the possibility of link formation with a probability w, called healing, to bridge non-functioning nodes and enhance network resilience. A single random node is removed, which may initiate an avalanche. After each removal step healing starts resulting in a new topology. Then a new node fails and the process continues until the giant component disappears either in a catastrophic breakdown or in a smooth transition. Simulation results are presented for square lattices as starting networks under random attacks of constant intensity. We find that the shift in the position of the breakdown has a power-law scaling as a function of the healing probability with an exponent close to 1. Below a critical healing probability, catastrophic cascades form and the average degree of surviving nodes decreases monotonically, while above this value there are no macroscopic cascades and the average degree has first an increasing character and decreases only at the very late stage of the process. These findings facilitate to plan intervention in case of crisis situation by describing the efficiency of healing efforts needed to suppress cascading failures.

  19. Modeling green infrastructure land use changes on future air quality in Kansas City

    EPA Science Inventory

    Green infrastructure can be a cost-effective approach for reducing stormwater runoff and improving water quality as a result, but it could also bring co-benefits for air quality: less impervious surfaces and more vegetation can decrease the urban heat island effect, and also resu...

  20. Modeling virtual healthcare systems: methods for qualitative case analysis and sociometry of institutional infrastructures.

    PubMed

    Séror, Ann

    2003-01-01

    The objective of this paper is to present a strategy for the qualitative analysis of virtual institutional infrastructures serving complex healthcare systems. Methodologies considered include case analysis, grounded theory, and sociometry. The discussion is illustrated with references to case analyses of diverse healthcare systems. Particular attention is focused on ideological values expressed in market dynamics and system control structures.

  1. Modeling green infrastructure land use changes on future air quality in Kansas City

    EPA Science Inventory

    Green infrastructure can be a cost-effective approach for reducing stormwater runoff and improving water quality as a result, but it could also bring co-benefits for air quality: less impervious surfaces and more vegetation can decrease the urban heat island effect, and also resu...

  2. Robustness of interdependent networks under targeted attack

    NASA Astrophysics Data System (ADS)

    Huang, Xuqing; Gao, Jianxi; Buldyrev, Sergey; Havlin, Shlomo; Stanley, H. Eugene

    2012-02-01

    When an initial failure of nodes occurs in interdependent networks, a cascade of failure between the networks occurs. Earlier studies focused on random initial failures. Here we study the robustness of interdependent networks under targeted attack on high or low degree nodes. We introduce a general technique which maps the targeted-attack problem in interdependent networks to the random-attack problem in a transformed pair of interdependent networks. We find that when the highly connected nodes are protected and have lower probability to fail, in contrast to single scale-free (SF) networks where the percolation threshold pc=0, coupled SF networks are significantly more vulnerable with pc significantly larger than zero. The result implies that interdependent networks are difficult to defend by strategies such as protecting the high degree nodes that have been found useful to significantly improve robustness of single networks.

  3. Robustness of interdependent networks under targeted attack

    NASA Astrophysics Data System (ADS)

    Huang, Xuqing; Gao, Jianxi; Buldyrev, Sergey V.; Havlin, Shlomo; Stanley, H. Eugene

    2011-06-01

    When an initial failure of nodes occurs in interdependent networks, a cascade of failure between the networks occurs. Earlier studies focused on random initial failures. Here we study the robustness of interdependent networks under targeted attack on high or low degree nodes. We introduce a general technique which maps the targeted-attack problem in interdependent networks to the random-attack problem in a transformed pair of interdependent networks. We find that when the highly connected nodes are protected and have lower probability to fail, in contrast to single scale-free (SF) networks where the percolation threshold pc=0, coupled SF networks are significantly more vulnerable with pc significantly larger than zero. The result implies that interdependent networks are difficult to defend by strategies such as protecting the high degree nodes that have been found useful to significantly improve robustness of single networks.

  4. Regional interdependence and migration in Asia.

    PubMed

    Kim, W B

    1995-01-01

    "The 1980s witnessed increasing regional interdependence in Asia through trade and investment. Increasing flows of labor within the region, however, raise questions about three important issues: (1) the assumption that trade, investment and aid will eventually mitigate migration pressure in source countries and the effectiveness of migration policies based on that assumption; (2) whether increasing regional interdependence stimulates or deters migration; [and] (3) the effect of rising interdependence on the political and international relations aspects of migration. As a partial attempt to address these questions, this article examines the regional pattern of economic interdependence by utilizing information concerning trade, investment and migration flows. The concept of interdependence/dependence is discussed within a political context, focusing on migration and policy responses to it. Observations are made on the implications for regional stability and development."

  5. Will electrical cyber-physical interdependent networks undergo first-order transition under random attacks?

    NASA Astrophysics Data System (ADS)

    Ji, Xingpei; Wang, Bo; Liu, Dichen; Dong, Zhaoyang; Chen, Guo; Zhu, Zhenshan; Zhu, Xuedong; Wang, Xunting

    2016-10-01

    Whether the realistic electrical cyber-physical interdependent networks will undergo first-order transition under random failures still remains a question. To reflect the reality of Chinese electrical cyber-physical system, the "partial one-to-one correspondence" interdependent networks model is proposed and the connectivity vulnerabilities of three realistic electrical cyber-physical interdependent networks are analyzed. The simulation results show that due to the service demands of power system the topologies of power grid and its cyber network are highly inter-similar which can effectively avoid the first-order transition. By comparing the vulnerability curves between electrical cyber-physical interdependent networks and its single-layer network, we find that complex network theory is still useful in the vulnerability analysis of electrical cyber-physical interdependent networks.

  6. Spatial modelling of disaster resilience using infrastructure components of baseline resilience indicators for communities (BRIC) in special region of Yogyakarta

    NASA Astrophysics Data System (ADS)

    Kuscahyadi, Febriana; Meilano, Irwan; Riqqi, Akhmad

    2017-07-01

    Special Region of Yogyakarta Province (DIY) is one of Indonesian regions that often harmed by varied natural disasters which caused huge negative impacts. The most catastrophic one is earthquake in May, 27th 2006 with 6.3 magnitude moment [1], evoked 5716 people died, and economic losses for Rp. 29.1 Trillion, [2]. Their impacts could be minimized by committing disaster risk reduction program. Therefore, it is necessary to measure the natural disaster resilience within a region. Since infrastructure are might be able as facilities that means for evacuations, distribute supplies, and post disaster recovery [3], this research concerns to establish spatial modelling of natural disaster resilience using infrastructure components based on BRIC in DIY Province. There are three infrastructure used in this model; they are school, health facilities, and roads. Distance analysis is used to determine the level of resilient zone. The result gives the spatial understanding as a map that urban areas have better disaster resilience than the rural areas. The coastal areas and mountains areas which are vulnerable towards disaster have less resilience since there are no enough facilities that will increase the disaster resilience

  7. Volcanic hazards at distant critical infrastructure: A method for bespoke, multi-disciplinary assessment

    NASA Astrophysics Data System (ADS)

    Odbert, H. M.; Aspinall, W.; Phillips, J.; Jenkins, S.; Wilson, T. M.; Scourse, E.; Sheldrake, T.; Tucker, P.; Nakeshree, K.; Bernardara, P.; Fish, K.

    2015-12-01

    Societies rely on critical services such as power, water, transport networks and manufacturing. Infrastructure may be sited to minimise exposure to natural hazards but not all can be avoided. The probability of long-range transport of a volcanic plume to a site is comparable to other external hazards that must be considered to satisfy safety assessments. Recent advances in numerical models of plume dispersion and stochastic modelling provide a formalized and transparent approach to probabilistic assessment of hazard distribution. To understand the risks to critical infrastructure far from volcanic sources, it is necessary to quantify their vulnerability to different hazard stressors. However, infrastructure assets (e.g. power plantsand operational facilities) are typically complex systems in themselves, with interdependent components that may differ in susceptibility to hazard impact. Usually, such complexity means that risk either cannot be estimated formally or that unsatisfactory simplifying assumptions are prerequisite to building a tractable risk model. We present a new approach to quantifying risk by bridging expertise of physical hazard modellers and infrastructure engineers. We use a joint expert judgment approach to determine hazard model inputs and constrain associated uncertainties. Model outputs are chosen on the basis of engineering or operational concerns. The procedure facilitates an interface between physical scientists, with expertise in volcanic hazards, and infrastructure engineers, with insight into vulnerability to hazards. The result is a joined-up approach to estimating risk from low-probability hazards to critical infrastructure. We describe our methodology and show preliminary results for vulnerability to volcanic hazards at a typical UK industrial facility. We discuss our findings in the context of developing bespoke assessment of hazards from distant sources in collaboration with key infrastructure stakeholders.

  8. Understanding the Effects of Infrastructure Changes on Subpopulations: Survey of Current Methods, Models, and Tools

    DTIC Science & Technology

    2016-04-01

    53 Figure 16. IESE economics example: access to food (Verner and Petit 2014, 5)............... 53...Public Law 107-95, 116 Stat. 2135). ERDC TR-16-3 7 • Infrastructure is the mechanism that delivers the fundamental needs of society: food , water...Constitution, public law, and the Department of Defense (DoD). Unfortunately, Army doctrine does not explicitly describe the “ chain ” that begins with the

  9. Building safeguards infrastructure

    SciTech Connect

    Stevens, Rebecca S; Mcclelland - Kerr, John

    2009-01-01

    Much has been written in recent years about the nuclear renaissance - the rebirth of nuclear power as a clean and safe source of electricity around the world. Those who question the nuclear renaissance often cite the risk of proliferation, accidents or an attack on a facility as concerns, all of which merit serious consideration. The integration of these three areas - sometimes referred to as 3S, for safety, security and safeguards - is essential to supporting the growth of nuclear power, and the infrastructure that supports them should be strengthened. The focus of this paper will be on the role safeguards plays in the 3S concept and how to support the development of the infrastructure necessary to support safeguards. The objective of this paper has been to provide a working definition of safeguards infrastructure, and to discuss xamples of how building safeguards infrastructure is presented in several models. The guidelines outlined in the milestones document provide a clear path for establishing both the safeguards and the related infrastructures needed to support the development of nuclear power. The model employed by the INSEP program of engaging with partner states on safeguards-related topics that are of current interest to the level of nuclear development in that state provides another way of approaching the concept of building safeguards infrastructure. The Next Generation Safeguards Initiative is yet another approach that underscored five principal areas for growth, and the United States commitment to working with partners to promote this growth both at home and abroad.

  10. QuakeSim Computational Infrastructure for Integrating DESDynI and UAVSAR Data into Earthquake Models (Invited)

    NASA Astrophysics Data System (ADS)

    Donnellan, A.; Rundle, J. B.; Grant Ludwig, L.; McLeod, D.; Pierce, M.; Fox, G.; Al-Ghanmi, R. A.; Parker, J. W.; Granat, R. A.; Lyzenga, G. A.; Ma, Y.; Glasscoe, M. T.; Ji, J.; Wang, J.; Gao, X.; Quakesim Team

    2010-12-01

    QuakeSim is a computational infrastructure for studying, modeling, and forecasting earthquakes from a system perspective. QuakeSim takes into account the entire earthquake cycle of strain accumulation and release, requiring crustal deformation data as a key data source. Interferometric Synthetic Aperture Radar (InSAR) and Global Positioning System (GPS) data provide current crustal deformation rates, while paleoseismic data provide long-term fault slip rates and earthquake history. The QuakeTables federated multimedia database contains spaceborne and UAVSAR InSAR data for the California region as well as paleoseismic fault data from a number of self-consistent datasets, such as the Uniform California Earthquake Rupture Forecast (UCERF), California Geological Survey (CGS), and Virtual California. Access to QuakeTables is provided through a web interface and a Web Services based application program interface (API) for data delivery. Data are categorized into self-consistent datasets that can be queried in their original form or a derivation therefrom. QuakeTables provides access to mapping features through a web interface, that provides users with direct access to the QuakeTables federated data. Users can browse, map and navigate the available datasets. QuakeSim applications include crustal deformation modeling and pattern analysis. The crustal deformation tools include forward elastic dislocation models (DISLOC) and 3D viscoelastic finite element models (GeoFEST), and elastic inversions of crustal deformation data (SIMPLEX). The tools support mapping and applications for visualizing results in vector or interfermetric form. Virtual California simulates interacting fault systems. Pattern analysis tools include RDAHMM for identifying state changes in time series data, and RIPI for identifying hotspot locations of increased probabilities for magnitude 5 and above earthquakes. The QuakeSim infrastructure automatically posts UAVSAR data to QuakeTables for storage and

  11. INTERDEPENDENT SUPERIORITY AND INFERIORITY FEELINGS

    PubMed Central

    Ingham, Harrington V.

    1949-01-01

    It is postulated that in neurotic persons who have unrealistic feelings of superiority and inferiority the two are interdependent. This is a departure from the concept of previous observers that either one or the other is primary and its opposite is overcompensation. The author postulates considerable parallelism, with equal importance for each. He submits that the neurotic person forms two logic-resistant compartments for the two opposed self-estimates and that treatment which makes inroads of logic upon one compartment, simultaneously does so upon the other. Two examples are briefly reported. The neurotic benefits sought in exaggeration of capability are the same as those sought in insistence upon inferiority: Presumption of superiority at once bids for approbation and delivers the subject from the need to prove himself worthy of it in dreaded competition; exaggeration of incapability baits sympathy and makes competition unnecessary because failure is conceded. Some of the characteristics of abnormal self-estimates that distinguish them from normal are: Preoccupation with self, resistance to logical explanation of personality problems, inconsistency in reasons for beliefs in adequacy on the one hand and inadequacy on the other, unreality, rationalization of faults, and difficulty and vacillation in the selection of adequate goals. PMID:15390573

  12. Evaluation of the Earth System CoG Infrastructure in Supporting a Model Intercomparison Project

    NASA Astrophysics Data System (ADS)

    Wallis, J. C.; Rood, R. B.; Murphy, S.; Cinquini, L.; DeLuca, C.

    2013-12-01

    Earth System CoG is a web-based collaboration environment that combines data services with metadata and project management services. The environment is particularly suited to support software development and model intercomparison projects. CoG was recently used to support the National Climate Predictions and Projections Platform (NCPP) Quantitative Evaluation of Downscaling (QED-2013) workshop. QED-2013 was a workshop with a community approach for the objective, quantitative evaluation of techniques to downscale climate model predictions and projections. This paper will present a brief introduction to CoG, QED-2013, and findings from an ethnographic evaluation of how CoG supported QED-2013. The QED-2013 workshop focused on real-world application problems drawn from several sectors, and contributed to the informed use of downscaled data. This workshop is a part of a larger effort by NCPP and partner organizations to develop a standardized evaluation framework for local and regional climate information. The main goals of QED-2013 were to a) coordinate efforts for quantitative evaluation, b) develop software infrastructure, c) develop a repository of information, d) develop translational and guidance information, e) identify and engage key user communities, and f) promote collaboration and interoperability. CoG was a key player in QED-2013 support. NCPP was an early adopter of the CoG platform, providing valuable recommendations for overall development plus specific workshop-related requirements. New CoG features developed for QED-2013 included: the ability to publish images and associated metadata contained within XML files to its associated data node combine both artifacts into an integrated display. The ability to modify data search facets into scientifically relevant groups and display dynamic lists of workshop participants and their interests was also added to the interface. During the workshop, the QED-2013 project page on CoG provided meeting logistics, meeting

  13. Pandemic influenza and critical infrastructure dependencies: possible impact on hospitals.

    PubMed

    Itzwerth, Ralf L; Macintyre, C Raina; Shah, Smita; Plant, Aileen J

    2006-11-20

    Hospitals will be particularly challenged when pandemic influenza spreads. Within the health sector in general, existing pandemic plans focus on health interventions to control outbreaks. The critical relationship between the health sector and other sectors is not well understood and addressed. Hospitals depend on critical infrastructure external to the organisation itself. Existing plans do not adequately consider the complexity and interdependency of systems upon which hospitals rely. The failure of one such system can trigger a failure of another, causing cascading breakdowns. Health is only one of the many systems that struggle at maximum capacity during "normal" times, as current business models operate with no or minimal "excess" staff and have become irreducible operations. This makes interconnected systems highly vulnerable to acute disruptions, such as a pandemic. Companies use continuity plans and highly regulated business continuity management to overcome process interruptions. This methodology can be applied to hospitals to minimise the impact of a pandemic.

  14. Robustness of non-interdependent and interdependent networks against dependent and adaptive attacks

    NASA Astrophysics Data System (ADS)

    Tyra, Adam; Li, Jingtao; Shang, Yilun; Jiang, Shuo; Zhao, Yanjun; Xu, Shouhuai

    2017-09-01

    Robustness of complex networks has been extensively studied via the notion of site percolation, which typically models independent and non-adaptive attacks (or disruptions). However, real-life attacks are often dependent and/or adaptive. This motivates us to characterize the robustness of complex networks, including non-interdependent and interdependent ones, against dependent and adaptive attacks. For this purpose, dependent attacks are accommodated by L-hop percolation where the nodes within some L-hop (L ≥ 0) distance of a chosen node are all deleted during one attack (with L = 0 degenerating to site percolation). Whereas, adaptive attacks are launched by attackers who can make node-selection decisions based on the network state in the beginning of each attack. The resulting characterization enriches the body of knowledge with new insights, such as: (i) the Achilles' Heel phenomenon is only valid for independent attacks, but not for dependent attacks; (ii) powerful attack strategies (e.g., targeted attacks and dependent attacks, dependent attacks and adaptive attacks) are not compatible and cannot help the attacker when used collectively. Our results shed some light on the design of robust complex networks.

  15. Cascading Failures Due to Multiple Causes in Interdependent Networks

    NASA Astrophysics Data System (ADS)

    Kornbluth, Yosef; Buldyrev, Sergey

    2014-03-01

    In recent years, several models of network failure have been introduced. Some of these models are based on overload, in which increased traffic destroys nodes, while others are based on partial isolation, in which a node needs several functional neighbors to survive. In these systems, failure of a small fraction of nodes can cause a cascade of failures which may completely destroy the network. The majority of these models are studied in single networks. However, many real-world systems are comprised of multiple interdependent networks. Recent studies based on the concept of mutual percolation show that these systems are much more vulnerable than a single network. We numerically and analytically investigate how multiple causes of failure simultaneously acting in a system of interdependent networks affect their vulnerability.

  16. Influence of Parenchymal Heterogeneity on Airway-Parenchymal Interdependence

    PubMed Central

    Ma, Baoshun; Breen, Barbara; Bates, Jason H.T.

    2013-01-01

    To estimate the influence of parenchymal heterogeneities on airway-parenchymal interdependence, we considered a circular airway embedded within elastic parenchyma modeled as 1) a hexagonal spring network, 2) a triangular spring network, or 3) a continuum. The deformation in the parenchyma due to active airway contraction was simulated using the finite element method. Random perturbations of elastic moduli in the parenchyma did not significantly affect the overall pattern of force transmission. By contrast, when elastic moduli were increased along a path projecting radially outward from the airway, the hexagonal spring network model predicted significantly increased force along this line as the airway contracted, but this was not observed in other two models. These results indicate that tissue heterogeneities generally have minimal effect on the global nature of airway-parenchymal interdependence. However, in the exceptional circumstance of scar tissue aligned radially from the airway wall, parenchymal distortion forces may propagate much farther from the airway wall than was previously thought. PMID:23770309

  17. The interdependent network of gene regulation and metabolism is robust where it needs to be.

    PubMed

    Klosik, David F; Grimbs, Anne; Bornholdt, Stefan; Hütt, Marc-Thorsten

    2017-09-14

    Despite being highly interdependent, the major biochemical networks of the living cell-the networks of interacting genes and of metabolic reactions, respectively-have been approached mostly as separate systems so far. Recently, a framework for interdependent networks has emerged in the context of statistical physics. In a first quantitative application of this framework to systems biology, here we study the interdependent network of gene regulation and metabolism for the model organism Escherichia coli in terms of a biologically motivated percolation model. Particularly, we approach the system's conflicting tasks of reacting rapidly to (internal and external) perturbations, while being robust to minor environmental fluctuations. Considering its response to perturbations that are localized with respect to functional criteria, we find the interdependent system to be sensitive to gene regulatory and protein-level perturbations, yet robust against metabolic changes. We expect this approach to be applicable to a range of other interdependent networks.Although networks of interacting genes and metabolic reactions are interdependent, they have largely been treated as separate systems. Here the authors apply a statistical framework for interdependent networks to E. coli, and show that it is sensitive to gene and protein perturbations but robust against metabolic changes.

  18. Interdependent network reciprocity in evolutionary games

    NASA Astrophysics Data System (ADS)

    Wang, Zhen; Szolnoki, Attila; Perc, Matjaž

    2013-01-01

    Besides the structure of interactions within networks, also the interactions between networks are of the outmost importance. We therefore study the outcome of the public goods game on two interdependent networks that are connected by means of a utility function, which determines how payoffs on both networks jointly influence the success of players in each individual network. We show that an unbiased coupling allows the spontaneous emergence of interdependent network reciprocity, which is capable to maintain healthy levels of public cooperation even in extremely adverse conditions. The mechanism, however, requires simultaneous formation of correlated cooperator clusters on both networks. If this does not emerge or if the coordination process is disturbed, network reciprocity fails, resulting in the total collapse of cooperation. Network interdependence can thus be exploited effectively to promote cooperation past the limits imposed by isolated networks, but only if the coordination between the interdependent networks is not disturbed.

  19. Sinkhole risk modelling applied to transportation infrastructures. A case study from the Ebro valley evaporite karst (NE Spain)

    NASA Astrophysics Data System (ADS)

    Galve, Jorge P.; Remondo, Juan; Gutiérrez, Francisco; Guerrero, Jesús; Bonachea, Jaime; Lucha, Pedro

    2010-05-01

    Sinkholes disrupt transportation route serviceability causing significant direct and indirect economic losses. Additionally, catastrophic collapse sinkholes may lead to accidents producing loss of human lives. Sinkhole risk modelling allows the estimation of the expectable losses in different portions of infrastructures and the identification of the sections where the application corrective measures would have a better cost-benefit ratio. An example of sinkhole risk analysis applied to a motorway under construction in a mantled evaporite karst area with a very high probability of occurrence of cover collapse sinkholes is presented. Firstly, sinkhole susceptibility models have been obtained, and independently evaluated, on the basis of a probabilistic method which combines the distance to nearest sinkhole with other conditioning factors. The most reliable susceptibility model was then transformed into several sinkhole hazard models using empirical functions. This functions describe the relationships between the frequency of sinkholes and (1) sinkholes dimensions, (2) terrain susceptibility and (3) land cover. Although to evaluate hazard models more information on temporal occurrences would be needed, the quality and quantity of the data in which models are based and the distribution of the latest sinkholes of considerable magnitude occurred in the study area indicate that the models seem to be sound. Two collapse sinkholes 4 m across formed after the production of the models coincide with the zone of highest hazard, which occupy 15% of the study area. Finally, on the basis of the hazard models obtained, sinkhole risk models were generated for a motorway under construction with the aim of quantitatively estimating the expected losses in different sections of the infrastructure in a given period of time. To produce the risk models, the vulnerability of the motorway was estimated considering the cost of the structure, sinkhole magnitude and frequency and the expectable

  20. The ecological model web concept: A consultative infrastructure for researchers and decision makers using a Service Oriented Architecture

    NASA Astrophysics Data System (ADS)

    Geller, Gary

    2010-05-01

    Rapid climate and socioeconomic changes may be outrunning society's ability to understand, predict, and respond to change effectively. Decision makers such as natural resource managers want better information about what these changes will be and how the resources they are managing will be affected. Researchers want better understanding of the components and processes of ecological systems, how they interact, and how they respond to change. Nearly all these activities require computer models to make ecological forecasts that can address "what if" questions. However, despite many excellent models in ecology and related disciplines, there is no coordinated model system—that is, a model infrastructure--that researchers or decision makers can consult to gain insight on important ecological questions or help them make decisions. While this is partly due to the complexity of the science, to lack of critical observations, and other issues, limited access to and sharing of models and model outputs is a factor as well. An infrastructure that increased access to and sharing of models and model outputs would benefit researchers, decision makers of all kinds, and modelers. One path to such a "consultative infrastructure" for ecological forecasting is called the Model Web, a concept for an open-ended system of interoperable computer models and databases communicating using a Service Oriented Architectures (SOA). Initially, it could consist of a core of several models, perhaps made interoperable retroactively, and then it could grow gradually as new models or databases were added. Because some models provide basic information of use to many other models, such as simple physical parameters, these "keystone" models are of particular importance in a model web. In the long run, a model web would not be rigidly planned and built--instead, like the World Wide Web, it would grow largely organically, with limited central control, within a framework of broad goals and data exchange

  1. Assessing Vulnerabilities, Risks, and Consequences of Damage to Critical Infrastructure

    SciTech Connect

    Suski, N; Wuest, C

    2011-02-04

    Since the publication of 'Critical Foundations: Protecting America's Infrastructure,' there has been a keen understanding of the complexity, interdependencies, and shared responsibility required to protect the nation's most critical assets that are essential to our way of life. The original 5 sectors defined in 1997 have grown to 18 Critical Infrastructures and Key Resources (CIKR), which are discussed in the 2009 National Infrastructure Protection Plan (NIPP) and its supporting sector-specific plans. The NIPP provides the structure for a national program dedicated to enhanced protection and resiliency of the nation's infrastructure. Lawrence Livermore National Laboratory (LLNL) provides in-depth, multi-disciplinary assessments of threat, vulnerability, and consequence across all 18 sectors at scales ranging from specific facilities to infrastructures spanning multi-state regions, such as the Oil and Natural Gas (ONG) sector. Like many of the CIKR sectors, the ONG sector is comprised of production, processing, distribution, and storage of highly valuable and potentially dangerous commodities. Furthermore, there are significant interdependencies with other sectors, including transportation, communication, finance, and government. Understanding the potentially devastating consequences and collateral damage resulting from a terrorist attack or natural event is an important element of LLNL's infrastructure security programs. Our work began in the energy sector in the late 1990s and quickly expanded other critical infrastructure sectors. We have performed over 600 physical assessments with a particular emphasis on those sectors that utilize, store, or ship potentially hazardous materials and for whom cyber security is important. The success of our approach is based on building awareness of vulnerabilities and risks and working directly with industry partners to collectively advance infrastructure protection. This approach consists of three phases: The Pre

  2. Cyberwarfare on the Electricity Infrastructure

    SciTech Connect

    Murarka, N.; Ramesh, V.C.

    2000-03-20

    The report analyzes the possibility of cyberwarfare on the electricity infrastructure. The ongoing deregulation of the electricity industry makes the power grid all the more vulnerable to cyber attacks. The report models the power system information system components, models potential threats and protective measures. It therefore offers a framework for infrastructure protection.

  3. Using agent based modeling to assess the effect of increased Bus Rapid Transit system infrastructure on walking for transportation.

    PubMed

    Lemoine, Pablo D; Cordovez, Juan Manuel; Zambrano, Juan Manuel; Sarmiento, Olga L; Meisel, Jose D; Valdivia, Juan Alejandro; Zarama, Roberto

    2016-07-01

    The effect of transport infrastructure on walking is of interest to researchers because it provides an opportunity, from the public policy point of view, to increase physical activity (PA). We use an agent based model (ABM) to examine the effect of transport infrastructure on walking. Particular relevance is given to assess the effect of the growth of the Bus Rapid Transit (BRT) system in Bogotá on walking. In the ABM agents are assigned a home, work location, and socioeconomic status (SES) based on which they are assigned income for transportation. Individuals must decide between the available modes of transport (i.e., car, taxi, bus, BRT, and walking) as the means of reaching their destination, based on resources and needed travel time. We calibrated the model based on Bogota's 2011 mobility survey. The ABM results are consistent with previous empirical findings, increasing BRT access does indeed increase the number of minutes that individuals walk for transportation, although this effect also depends on the availability of other transport modes. The model indicates a saturation process: as more BRT lanes are added, the increment in minutes walking becomes smaller, and eventually the walking time decreases. Our findings on the potential contribution of the expansion of the BRT system to walking for transportation suggest that ABMs may prove helpful in designing policies to continue promoting walking.

  4. Mathematical programming (MP) model to determine optimal transportation infrastructure for geologic CO2 storage in the Illinois basin

    NASA Astrophysics Data System (ADS)

    Rehmer, Donald E.

    Analysis of results from a mathematical programming model were examined to 1) determine the least cost options for infrastructure development of geologic storage of CO2 in the Illinois Basin, and 2) perform an analysis of a number of CO2 emission tax and oil price scenarios in order to implement development of the least-cost pipeline networks for distribution of CO2. The model, using mixed integer programming, tested the hypothesis of whether viable EOR sequestration sites can serve as nodal points or hubs to expand the CO2 delivery infrastructure to more distal locations from the emissions sources. This is in contrast to previous model results based on a point-to- point model having direct pipeline segments from each CO2 capture site to each storage sink. There is literature on the spoke and hub problem that relates to airline scheduling as well as maritime shipping. A large-scale ship assignment problem that utilized integer linear programming was run on Excel Solver and described by Mourao et al., (2001). Other literature indicates that aircraft assignment in spoke and hub routes can also be achieved using integer linear programming (Daskin and Panayotopoulos, 1989; Hane et al., 1995). The distribution concept is basically the reverse of the "tree and branch" type (Rothfarb et al., 1970) gathering systems for oil and natural gas that industry has been developing for decades. Model results indicate that the inclusion of hubs as variables in the model yields lower transportation costs for geologic carbon dioxide storage over previous models of point-to-point infrastructure geometries. Tabular results and GIS maps of the selected scenarios illustrate that EOR sites can serve as nodal points or hubs for distribution of CO2 to distal oil field locations as well as deeper saline reservoirs. Revenue amounts and capture percentages both show an improvement over solutions when the hubs are not allowed to come into the solution. Other results indicate that geologic

  5. Spatial modeling of infrastructure resilience to the natural disasters using baseline resilience indicators for communities (BRIC) - Case study: 5 districts/cities of Bandung Basin area

    NASA Astrophysics Data System (ADS)

    Nafishoh, Qoriatun; Riqqi, Akhmad; Meilano, Irwan

    2017-07-01

    The Bandung Basin area has highly susceptible to the natural disasters. Therefore, resilience measurement is useful to find out the capacity of an area in the facing of a natural disaster. Natural disaster resilience can be measured using BRIC (Baseline Resilience Indicators for Communities) model. This model comprises several indicators; includes social, economic, community, institution, infrastructure, and the environment. This research tries to measure resilience to the natural disasters with still focusing on infrastructure resilience measurement by spatial modeling and analyzed the dominant driving factor that contributes to this resilience trend. We generated a spatial modeling by applying a spatial analysis to the infrastructure objects. The infrastructure objects consist of the road, school, and health facilities. Those objects will be given some radius levels that indicate the resilience level by using buffer processing. An area closest to those objects will have high resilience and contrarily. Our result showed that almost all city areas (Bandung and Cimahi City) have high resilience because they have many infrastructure objects. But contrarily with the district areas which are still contained many patterns of low and moderate resilience level. The dominant driving factor of infrastructure resilience in this research area is a road. The areas which are closest to the road have high resilience and farther away from the road will have low resilience.

  6. ActivitySim: large-scale agent based activity generation for infrastructure simulation

    SciTech Connect

    Gali, Emmanuel; Eidenbenz, Stephan; Mniszewski, Sue; Cuellar, Leticia; Teuscher, Christof

    2008-01-01

    The United States' Department of Homeland Security aims to model, simulate, and analyze critical infrastructure and their interdependencies across multiple sectors such as electric power, telecommunications, water distribution, transportation, etc. We introduce ActivitySim, an activity simulator for a population of millions of individual agents each characterized by a set of demographic attributes that is based on US census data. ActivitySim generates daily schedules for each agent that consists of a sequence of activities, such as sleeping, shopping, working etc., each being scheduled at a geographic location, such as businesses or private residences that is appropriate for the activity type and for the personal situation of the agent. ActivitySim has been developed as part of a larger effort to understand the interdependencies among national infrastructure networks and their demand profiles that emerge from the different activities of individuals in baseline scenarios as well as emergency scenarios, such as hurricane evacuations. We present the scalable software engineering principles underlying ActivitySim, the socia-technical modeling paradigms that drive the activity generation, and proof-of-principle results for a scenario in the Twin Cities, MN area of 2.6 M agents.

  7. Greenhouse Gas Mitigation in Chinese Eco-Industrial Parks by Targeting Energy Infrastructure: A Vintage Stock Model.

    PubMed

    Guo, Yang; Tian, Jinping; Chertow, Marian; Chen, Lujun

    2016-10-03

    Mitigating greenhouse gas (GHG) emissions in China's industrial sector is crucial for addressing climate change. We developed a vintage stock model to quantify the GHG mitigation potential and cost effectiveness in Chinese eco-industrial parks by targeting energy infrastructure with five key measures. The model, integrating energy efficiency assessments, GHG emission accounting, cost-effectiveness analyses, and scenario analyses, was applied to 548 units of energy infrastructure in 106 parks. The results indicate that two measures (shifting coal-fired boilers to natural gas-fired boilers and replacing coal-fired units with natural gas combined cycle units) present a substantial potential to mitigate GHGs (42%-46%) compared with the baseline scenario. The other three measures (installation of municipal solid waste-to-energy units, replacement of small-capacity coal-fired units with large units, and implementation of turbine retrofitting) present potential mitigation values of 6.7%, 0.3%, and 2.1%, respectively. In most cases, substantial economic benefits also can be achieved by GHG emission mitigation. An uncertainty analysis showed that enhancing the annual working time or serviceable lifetime levels could strengthen the GHG mitigation potential at a lower cost for all of the measures.

  8. Uncovering hidden heterogeneity: Geo-statistical models illuminate the fine scale effects of boating infrastructure on sediment characteristics and contaminants.

    PubMed

    Hedge, L H; Dafforn, K A; Simpson, S L; Johnston, E L

    2017-06-30

    Infrastructure associated with coastal communities is likely to not only directly displace natural systems, but also leave environmental footprints' that stretch over multiple scales. Some coastal infrastructure will, there- fore, generate a hidden layer of habitat heterogeneity in sediment systems that is not immediately observable in classical impact assessment frameworks. We examine the hidden heterogeneity associated with one of the most ubiquitous coastal modifications; dense swing moorings fields. Using a model based geo-statistical framework we highlight the variation in sedimentology throughout mooring fields and reference locations. Moorings were correlated with patches of sediment with larger particle sizes, and associated metal(loid) concentrations in these patches were depressed. Our work highlights two important ideas i) mooring fields create a mosaic of habitat in which contamination decreases and grain sizes increase close to moorings, and ii) model- based frameworks provide an information rich, easy-to-interpret way to communicate complex analyses to stakeholders. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

  9. Cascading failures in interdependent networks with finite functional components.

    PubMed

    Di Muro, M A; Buldyrev, S V; Stanley, H E; Braunstein, L A

    2016-10-01

    We present a cascading failure model of two interdependent networks in which functional nodes belong to components of size greater than or equal to s. We find theoretically and via simulation that in complex networks with random dependency links the transition is first order for s≥3 and continuous for s=2. We also study interdependent lattices with a distance constraint r in the dependency links and find that increasing r moves the system from a regime without a phase transition to one with a second-order transition. As r continues to increase, the system collapses in a first-order transition. Each regime is associated with a different structure of domain formation of functional nodes.

  10. Cascading failures in interdependent networks with finite functional components

    NASA Astrophysics Data System (ADS)

    Di Muro, M. A.; Buldyrev, S. V.; Stanley, H. E.; Braunstein, L. A.

    2016-10-01

    We present a cascading failure model of two interdependent networks in which functional nodes belong to components of size greater than or equal to s . We find theoretically and via simulation that in complex networks with random dependency links the transition is first order for s ≥3 and continuous for s =2 . We also study interdependent lattices with a distance constraint r in the dependency links and find that increasing r moves the system from a regime without a phase transition to one with a second-order transition. As r continues to increase, the system collapses in a first-order transition. Each regime is associated with a different structure of domain formation of functional nodes.

  11. Project Scheduling Tool for Maintaining Capability Interdependencies and Defence Program Investment: A User’s Guide

    DTIC Science & Technology

    2014-09-01

    UNCLASSIFIED Project Scheduling Tool for Maintaining Capability Interdependencies and Defence Program Investment: A User’s Guide M.-T. Nguyen Joint...product, the Project Scheduling Tool (version 1.4). The tool implements various mathematical Integer Linear Programming models, as well as an approach that...Scheduling Tool for Maintaining Capability Interdependencies and Defence Program Investment: A User’s Guide Executive Summary Defence decision-makers are faced

  12. Exploring Actor-Partner Interdependence in Family Therapy: Whose View (Parent or Adolescent) Best Predicts Treatment Progress?

    ERIC Educational Resources Information Center

    Friedlander, Myrna L.; Kivlighan, Dennis M., Jr.; Shaffer, Katharine S.

    2012-01-01

    Predictions of family therapy outcome consistently vary depending on which client rates the alliance. We used the actor-partner interdependence model (Kenny, Kashy, & Cook, 2006) to test the interdependence of parents' and adolescents' ratings of alliance, session depth/value, and improvement-so-far after Sessions 3, 6, and 9. Initial analyses…

  13. Software for Optimizing Plans Involving Interdependent Goals

    NASA Technical Reports Server (NTRS)

    Estlin, Tara; Gaines, Daniel; Rabideau, Gregg

    2005-01-01

    A computer program enables construction and optimization of plans for activities that are directed toward achievement of goals that are interdependent. Goal interdependence is defined as the achievement of one or more goals affecting the desirability or priority of achieving one or more other goals. This program is overlaid on the Automated Scheduling and Planning Environment (ASPEN) software system, aspects of which have been described in a number of prior NASA Tech Briefs articles. Unlike other known or related planning programs, this program considers interdependences among goals that can change between problems and provides a language for easily specifying such dependences. Specifications of the interdependences can be formulated dynamically and provided to the associated planning software as part of the goal input. Then an optimization algorithm provided by this program enables the planning software to reason about the interdependences and incorporate them into an overall objective function that it uses to rate the quality of a plan under construction and to direct its optimization search. In tests on a series of problems of planning geological experiments by a team of instrumented robotic vehicles (rovers) on new terrain, this program was found to enhance plan quality.

  14. VERCE, Virtual Earthquake and Seismology Research Community in Europe, a new ESFRI initiative integrating data infrastructure, Grid and HPC infrastructures for data integration, data analysis and data modeling in seismology

    NASA Astrophysics Data System (ADS)

    van Hemert, Jano; Vilotte, Jean-Pierre

    2010-05-01

    Research in earthquake and seismology addresses fundamental problems in understanding Earth's internal wave sources and structures, and augment applications to societal concerns about natural hazards, energy resources and environmental change. This community is central to the European Plate Observing System (EPOS)—the ESFRI initiative in solid Earth Sciences. Global and regional seismology monitoring systems are continuously operated and are transmitting a growing wealth of data from Europe and from around the world. These tremendous volumes of seismograms, i.e., records of ground motions as a function of time, have a definite multi-use attribute, which puts a great premium on open-access data infrastructures that are integrated globally. In Europe, the earthquake and seismology community is part of the European Integrated Data Archives (EIDA) infrastructure and is structured as "horizontal" data services. On top of this distributed data archive system, the community has developed recently within the EC project NERIES advanced SOA-based web services and a unified portal system. Enabling advanced analysis of these data by utilising a data-aware distributed computing environment is instrumental to fully exploit the cornucopia of data and to guarantee optimal operation of the high-cost monitoring facilities. The strategy of VERCE is driven by the needs of data-intensive applications in data mining and modelling and will be illustrated through a set of applications. It aims to provide a comprehensive architecture and framework adapted to the scale and the diversity of these applications, and to integrate the community data infrastructure with Grid and HPC infrastructures. A first novel aspect is a service-oriented architecture that provides well-equipped integrated workbenches, with an efficient communication layer between data and Grid infrastructures, augmented with bridges to the HPC facilities. A second novel aspect is the coupling between Grid data analysis and

  15. Making green infrastructure healthier infrastructure

    PubMed Central

    Lõhmus, Mare; Balbus, John

    2015-01-01

    Increasing urban green and blue structure is often pointed out to be critical for sustainable development and climate change adaptation, which has led to the rapid expansion of greening activities in cities throughout the world. This process is likely to have a direct impact on the citizens’ quality of life and public health. However, alongside numerous benefits, green and blue infrastructure also has the potential to create unexpected, undesirable, side-effects for health. This paper considers several potential harmful public health effects that might result from increased urban biodiversity, urban bodies of water, and urban tree cover projects. It does so with the intent of improving awareness and motivating preventive measures when designing and initiating such projects. Although biodiversity has been found to be associated with physiological benefits for humans in several studies, efforts to increase the biodiversity of urban environments may also promote the introduction and survival of vector or host organisms for infectious pathogens with resulting spread of a variety of diseases. In addition, more green connectivity in urban areas may potentiate the role of rats and ticks in the spread of infectious diseases. Bodies of water and wetlands play a crucial role in the urban climate adaptation and mitigation process. However, they also provide habitats for mosquitoes and toxic algal blooms. Finally, increasing urban green space may also adversely affect citizens allergic to pollen. Increased awareness of the potential hazards of urban green and blue infrastructure should not be a reason to stop or scale back projects. Instead, incorporating public health awareness and interventions into urban planning at the earliest stages can help insure that green and blue infrastructure achieves full potential for health promotion. PMID:26615823

  16. Making green infrastructure healthier infrastructure.

    PubMed

    Lõhmus, Mare; Balbus, John

    2015-01-01

    Increasing urban green and blue structure is often pointed out to be critical for sustainable development and climate change adaptation, which has led to the rapid expansion of greening activities in cities throughout the world. This process is likely to have a direct impact on the citizens' quality of life and public health. However, alongside numerous benefits, green and blue infrastructure also has the potential to create unexpected, undesirable, side-effects for health. This paper considers several potential harmful public health effects that might result from increased urban biodiversity, urban bodies of water, and urban tree cover projects. It does so with the intent of improving awareness and motivating preventive measures when designing and initiating such projects. Although biodiversity has been found to be associated with physiological benefits for humans in several studies, efforts to increase the biodiversity of urban environments may also promote the introduction and survival of vector or host organisms for infectious pathogens with resulting spread of a variety of diseases. In addition, more green connectivity in urban areas may potentiate the role of rats and ticks in the spread of infectious diseases. Bodies of water and wetlands play a crucial role in the urban climate adaptation and mitigation process. However, they also provide habitats for mosquitoes and toxic algal blooms. Finally, increasing urban green space may also adversely affect citizens allergic to pollen. Increased awareness of the potential hazards of urban green and blue infrastructure should not be a reason to stop or scale back projects. Instead, incorporating public health awareness and interventions into urban planning at the earliest stages can help insure that green and blue infrastructure achieves full potential for health promotion.

  17. The robustness of interdependent networks under the interplay between cascading failures and virus propagation

    NASA Astrophysics Data System (ADS)

    Zhao, Dawei; Wang, Zhen; Xiao, Gaoxi; Gao, Bo; Wang, Lianhai

    2016-09-01

    Cascading failures and epidemic dynamics, as two successful application realms of network science, are usually investigated separately. How do they affect each other is still an open, interesting problem. In this letter, we couple both processes and put them into the framework of interdependent networks, where each network only supports one dynamical process. Of particular interest, they spontaneously form a feedback loop: virus propagation triggers cascading failures of systems while cascading failures suppress virus propagation (i.e., the interplay between cascading failures and virus propagation, also named CF-VP model). Under this novel model, the interdependent networks will collapse completely if virus transmissibility exceeds a crucial threshold. In addition, only when the network sustaining the epidemic dynamics has a larger average degree, will the interdependent networks become more vulnerable, which is opposite to the observation of traditional cascading models in interdependent networks. To protect interdependent networks we also propose control measures based on the identification capability: a stronger identification capability leads to more robust interdependent networks.

  18. Emergent Risks In Critical Infrastructures

    NASA Astrophysics Data System (ADS)

    Dynes, Scott

    Firms cannot function successfully without managing a host of internal and external organizational and process interdependencies. Part of this involves business continuity planning, which directly aects how resilient arm and its business sector are in the face of disruptions. This paper presents the results of eld studies related to information risk management practices in the health care and retail sectors. The studies explore information risk management coordinating signals within and across rms in these sectors as well as the potential eects of cyber disruptions on the rms as stand-alone entities and as part of a critical infrastructure. The health care case study investigates the impact of the Zotob worm on the ability to deliver medical care and treatment. The retail study examines the resilience of certain elements of the food supply chain to cyber disruptions.

  19. The Program for Climate Model Diagnosis and Intercomparison (PCMDI) Software Development: Applications, Infrastructure, and Middleware/Networks

    SciTech Connect

    Williams, Dean N.

    2011-06-30

    The status of and future plans for the Program for Climate Model Diagnosis and Intercomparison (PCMDI) hinge on software that PCMDI is either currently distributing or plans to distribute to the climate community in the near future. These software products include standard conventions, national and international federated infrastructures, and community analysis and visualization tools. This report also mentions other secondary software not necessarily led by or developed at PCMDI to provide a complete picture of the overarching applications, infrastructures, and middleware/networks. Much of the software described anticipates the use of future technologies envisioned over the span of next year to 10 years. These technologies, together with the software, will be the catalyst required to address extreme-scale data warehousing, scalability issues, and service-level requirements for a diverse set of well-known projects essential for predicting climate change. These tools, unlike the previous static analysis tools of the past, will support the co-existence of many users in a productive, shared virtual environment. This advanced technological world driven by extreme-scale computing and the data it generates will increase scientists’ productivity, exploit national and international relationships, and push research to new levels of understanding.

  20. Cascading failures in interdependent networks due to insufficient received support capability

    NASA Astrophysics Data System (ADS)

    Cui, Pengshuai; Zhu, Peidong; Shao, Chengcheng; Xun, Peng

    2017-03-01

    We propose a capability based dependency model of interdependent network that takes two node dependency properties into account. One is support capability and the other is required capability. The redundancy degree of an interdependent network is also defined, whose value is the ratio of its total support capability and total required capability. Through the numerical simulations, we found that: (1) Interdependent networks without redundant support-dependence links are extremely vulnerable, even the failure of one node could cause the collapse of whole network; (2) Increasing support-dependence links and redistributing the nodes' dependency properties can enhance the robustness of network without changing its redundancy degree; (3) Improving the redundancy degree could enhance network robustness without adding support-dependence links. These conclusions enlighten the design of interdependent networks: when network's redundancy degree is fixed, we can take strategy from results (2), and when network structure is settled, we can apply strategy from results (3).

  1. Downscaling seasonal to centennial simulations on distributed computing infrastructures using WRF model. The WRF4G project

    NASA Astrophysics Data System (ADS)

    Cofino, A. S.; Fernández Quiruelas, V.; Blanco Real, J. C.; García Díez, M.; Fernández, J.

    2013-12-01

    Nowadays Grid Computing is powerful computational tool which is ready to be used for scientific community in different areas (such as biomedicine, astrophysics, climate, etc.). However, the use of this distributed computing infrastructures (DCI) is not yet common practice in climate research, and only a few teams and applications in this area take advantage of this infrastructure. Thus, the WRF4G project objective is to popularize the use of this technology in the atmospheric sciences area. In order to achieve this objective, one of the most used applications has been taken (WRF; a limited- area model, successor of the MM5 model), that has a user community formed by more than 8000 researchers worldwide. This community develop its research activity on different areas and could benefit from the advantages of Grid resources (case study simulations, regional hind-cast/forecast, sensitivity studies, etc.). The WRF model is used by many groups, in the climate research community, to carry on downscaling simulations. Therefore this community will also benefit. However, Grid infrastructures have some drawbacks for the execution of applications that make an intensive use of CPU and memory for a long period of time. This makes necessary to develop a specific framework (middleware). This middleware encapsulates the application and provides appropriate services for the monitoring and management of the simulations and the data. Thus,another objective of theWRF4G project consists on the development of a generic adaptation of WRF to DCIs. It should simplify the access to the DCIs for the researchers, and also to free them from the technical and computational aspects of the use of theses DCI. Finally, in order to demonstrate the ability of WRF4G solving actual scientific challenges with interest and relevance on the climate science (implying a high computational cost) we will shown results from different kind of downscaling experiments, like ERA-Interim re-analysis, CMIP5 models

  2. A virtualized infrastructure for molecular imaging research using a data grid model

    NASA Astrophysics Data System (ADS)

    Lee, Jasper; Dagliyan, Grant; Liu, Brent

    2009-02-01

    The animal-to-researcher workflow in many of today's small animal imaging center is burdened with proprietary data limitations, inaccessible back-up methods, and imaging results that are not easily viewable across campus. Such challenges decrease the amount of scans performed per day at the center and requires researchers to wait longer for their images and quantified results. Furthermore, data mining at the small animal imaging center is often limited to researcher names and date-labelled archiving hard-drives. To gain efficiency and reliable access to small animal imaging data, such a center needs to move towards an integrated workflow with file format normalization services, metadata databases, expandable archiving infrastructure, and comprehensive user interfaces for query / retrieval tools - achieving all in a cost-effective manner. This poster presentation demonstrates how grid technology can support such a molecular imaging and small animal imaging research community to bridge the needs between imaging modalities and clinical researchers. Existing projects have utilized the Data Grid in PACS tier 2 backup solutions, where fault-tolerance is a high priority, as well as imagingbased clinical trials where data security and auditing are primary concerns. Issues to be addressed include, but are not limited to, novel database designs, file format standards, virtual archiving and distribution workflows, and potential grid computing for 3-D reconstructions, co-registration, and post-processing analysis.

  3. Modeling Rainfall-Runoff Dynamics in Tropical, Urban Socio-Hydrological Systems: Green Infrastructure and Variable Precipitation Interception

    NASA Astrophysics Data System (ADS)

    Nytch, C. J.; Meléndez-Ackerman, E. J.

    2014-12-01

    There is a pressing need to generate spatially-explicit models of rainfall-runoff dynamics in the urban humid tropics that can characterize flow pathways and flood magnitudes in response to erratic precipitation events. To effectively simulate stormwater runoff processes at multiple scales, complex spatio-temporal parameters such as rainfall, evapotranspiration, and antecedent soil moisture conditions must be accurately represented, in addition to uniquely urban factors including stormwater conveyance structures and connectivity between green and gray infrastructure elements. In heavily urbanized San Juan, Puerto Rico, stream flashiness and frequent flooding are major issues, yet still lacking is a hydrological analysis that models the generation and movement of fluvial and pluvial stormwater through the watershed. Our research employs a novel and multifaceted approach to dealing with this problem that integrates 1) field-based rainfall interception and infiltration methodologies to quantify the hydrologic functions of natural and built infrastructure in San Juan; 2) remote sensing analysis to produce a fine-scale typology of green and gray cover types in the city and determine patterns of spatial distribution and connectivity; 3) assessment of precipitation and streamflow variability at local and basin-wide scales using satellite and radar precipitation estimates in concert with rainfall and stream gauge point data and participatory flood mapping; 4) simulation of historical, present-day, and future stormwater runoff scenarios with a fully distributed hydrologic model that couples diverse components of urban socio-hydrological systems from formal and informal knowledge sources; and 5) bias and uncertainty analysis of parameters and model structure within a Bayesian hierarchical framework. Preliminary results from the rainfall interception study suggest that canopy structure and leaf area index of different tree species contribute to variable throughfall and

  4. Positive social interdependence and classroom climate.

    PubMed

    Abrami, P C; Chambers, B; Poulsen, C; Kouros, C; Farrell, M; D'Apollonia, S

    1994-08-01

    We explored the relationship between student perceptions of social interdependence and social support. Attitudinal responses to the Classroom Life Instrument (Johnson & Johnson, 1983; Johnson, Johnson, & Anderson, 1983; Johnson, Johnson, Buckman, & Richards, 1985) were gathered in Canada from four classes totaling 123 eighth-grade students learning geometry in cooperative groups. We extended previous findings by examining the relationships among the classroom climate variables, causal attributions, and achievement, and explored the consistency among the four classroom climate studies using statistical methods for meta-analysis to determine overall effect magnitudes and the degree of study-to-study variability. Social support from the teacher and fellow students was moderately related to perceptions of positive interdependence, but social interdependence factors were less important predictors of student learning than was student self-esteem.

  5. ESPAS, the near-Earth space data infrastructure for e-Science: architecture, data model and first release

    NASA Astrophysics Data System (ADS)

    Belehaki, Anna; Hapgood, Mike

    2013-04-01

    In the frames of the European Commission FP7 Programme, the ESPAS data infrastructure (http://www.espas-fp7.eu) is under development with primary objective to support the access to observations from the near-Earth space environment. This is a region that extends from the Earth's atmosphere up to the inner magnetosphere. Observing instruments that are linked to ESPAS include ionosondes, incoherent scatter radars, magnetometers, GNSS receivers and a large number of space sensors and radars. The ESPAS platform supports the systematic exploration of multi-point measurements from near-Earth space through homogeneous access to diverse data, enhances researchers' capability to develop advanced models of the geospace, supports data assimilation and provides tools for validation of models. The concept of extensibility to new data sets is an important element in the ESPAS architecture. The first phase that led to the release of the first prototype included the design and development of the initial data model that supports end user queries for near-earth space datasets using any combination of the following search fields: organisation, instruments, characteristics, temporal and spatial constraints. The next step would be the implementation of search for characteristics within the datasets. For the first release only the basic data sources are registered (i.e. EDAM electron density, DIAS ionosonde data, EISCAT Incoherent Scatter Radar measurements). In a second phase, when all databases and enhanced databases will be registered, the ESPAS infrastructure must be extensively tested through the application of several use cases, designed to serve the needs of the wide interdisciplinary users and producers communities, such as the ionospheric, thermospheric, magnetospheric, space weather and space climate communities, the geophysics community, the space communications engineering, HF users, satellite operators, navigation and surveillance systems, and space agencies. The final

  6. SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools

    PubMed Central

    2013-01-01

    Background Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. Results We present the Systems Biology Markup Language (SBML) Qualitative Models Package (“qual”), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models. Conclusions SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks. PMID:24321545

  7. SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

    PubMed

    Chaouiya, Claudine; Bérenguier, Duncan; Keating, Sarah M; Naldi, Aurélien; van Iersel, Martijn P; Rodriguez, Nicolas; Dräger, Andreas; Büchel, Finja; Cokelaer, Thomas; Kowal, Bryan; Wicks, Benjamin; Gonçalves, Emanuel; Dorier, Julien; Page, Michel; Monteiro, Pedro T; von Kamp, Axel; Xenarios, Ioannis; de Jong, Hidde; Hucka, Michael; Klamt, Steffen; Thieffry, Denis; Le Novère, Nicolas; Saez-Rodriguez, Julio; Helikar, Tomáš

    2013-12-10

    Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. We present the Systems Biology Markup Language (SBML) Qualitative Models Package ("qual"), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models. SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.

  8. A Model to Exhibit the Interdependence of the Cognitive and Affective Domains of Objectives for Use in Science and Technical Teacher Training.

    ERIC Educational Resources Information Center

    Ormerod, M. B.

    1983-01-01

    Proposes a diagrammatic model connecting the cognitive and affective domains of educational objectives, abandoning Krathwohl's hierarchy of affective objectives for one based solely on arousal of interest as a positive dimension. A negative dimension for the hierarchy is also suggested and research evidence supporting the model is given.…

  9. A simple grid implementation with Berkeley Open Infrastructure for Network Computing using BLAST as a model

    PubMed Central

    Pinthong, Watthanai; Muangruen, Panya

    2016-01-01

    Development of high-throughput technologies, such as Next-generation sequencing, allows thousands of experiments to be performed simultaneously while reducing resource requirement. Consequently, a massive amount of experiment data is now rapidly generated. Nevertheless, the data are not readily usable or meaningful until they are further analysed and interpreted. Due to the size of the data, a high performance computer (HPC) is required for the analysis and interpretation. However, the HPC is expensive and difficult to access. Other means were developed to allow researchers to acquire the power of HPC without a need to purchase and maintain one such as cloud computing services and grid computing system. In this study, we implemented grid computing in a computer training center environment using Berkeley Open Infrastructure for Network Computing (BOINC) as a job distributor and data manager combining all desktop computers to virtualize the HPC. Fifty desktop computers were used for setting up a grid system during the off-hours. In order to test the performance of the grid system, we adapted the Basic Local Alignment Search Tools (BLAST) to the BOINC system. Sequencing results from Illumina platform were aligned to the human genome database by BLAST on the grid system. The result and processing time were compared to those from a single desktop computer and HPC. The estimated durations of BLAST analysis for 4 million sequence reads on a desktop PC, HPC and the grid system were 568, 24 and 5 days, respectively. Thus, the grid implementation of BLAST by BOINC is an efficient alternative to the HPC for sequence alignment. The grid implementation by BOINC also helped tap unused computing resources during the off-hours and could be easily modified for other available bioinformatics software. PMID:27547555

  10. A simple grid implementation with Berkeley Open Infrastructure for Network Computing using BLAST as a model.

    PubMed

    Pinthong, Watthanai; Muangruen, Panya; Suriyaphol, Prapat; Mairiang, Dumrong

    2016-01-01

    Development of high-throughput technologies, such as Next-generation sequencing, allows thousands of experiments to be performed simultaneously while reducing resource requirement. Consequently, a massive amount of experiment data is now rapidly generated. Nevertheless, the data are not readily usable or meaningful until they are further analysed and interpreted. Due to the size of the data, a high performance computer (HPC) is required for the analysis and interpretation. However, the HPC is expensive and difficult to access. Other means were developed to allow researchers to acquire the power of HPC without a need to purchase and maintain one such as cloud computing services and grid computing system. In this study, we implemented grid computing in a computer training center environment using Berkeley Open Infrastructure for Network Computing (BOINC) as a job distributor and data manager combining all desktop computers to virtualize the HPC. Fifty desktop computers were used for setting up a grid system during the off-hours. In order to test the performance of the grid system, we adapted the Basic Local Alignment Search Tools (BLAST) to the BOINC system. Sequencing results from Illumina platform were aligned to the human genome database by BLAST on the grid system. The result and processing time were compared to those from a single desktop computer and HPC. The estimated durations of BLAST analysis for 4 million sequence reads on a desktop PC, HPC and the grid system were 568, 24 and 5 days, respectively. Thus, the grid implementation of BLAST by BOINC is an efficient alternative to the HPC for sequence alignment. The grid implementation by BOINC also helped tap unused computing resources during the off-hours and could be easily modified for other available bioinformatics software.

  11. A Spatial Probit Econometric Model of Land Change: The Case of Infrastructure Development in Western Amazonia, Peru.

    PubMed

    Arima, E Y

    2016-01-01

    Tropical forests are now at the center stage of climate mitigation policies worldwide given their roles as sources of carbon emissions resulting from deforestation and forest degradation. Although the international community has created mechanisms such as REDD+ to reduce those emissions, developing tropical countries continue to invest in infrastructure development in an effort to spur economic growth. Construction of roads in particular is known to be an important driver of deforestation. This article simulates the impact of road construction on deforestation in Western Amazonia, Peru, and quantifies the amount of carbon emissions associated with projected deforestation. To accomplish this objective, the article adopts a Bayesian probit land change model in which spatial dependencies are defined between regions or groups of pixels instead of between individual pixels, thereby reducing computational requirements. It also compares and contrasts the patterns of deforestation predicted by both spatial and non-spatial probit models. The spatial model replicates complex patterns of deforestation whereas the non-spatial model fails to do so. In terms of policy, both models suggest that road construction will increase deforestation by a modest amount, between 200-300 km2. This translates into aboveground carbon emissions of 1.36 and 1.85 x 106 tons. However, recent introduction of palm oil in the region serves as a cautionary example that the models may be underestimating the impact of roads.

  12. A Spatial Probit Econometric Model of Land Change: The Case of Infrastructure Development in Western Amazonia, Peru

    PubMed Central

    Arima, E. Y.

    2016-01-01

    Tropical forests are now at the center stage of climate mitigation policies worldwide given their roles as sources of carbon emissions resulting from deforestation and forest degradation. Although the international community has created mechanisms such as REDD+ to reduce those emissions, developing tropical countries continue to invest in infrastructure development in an effort to spur economic growth. Construction of roads in particular is known to be an important driver of deforestation. This article simulates the impact of road construction on deforestation in Western Amazonia, Peru, and quantifies the amount of carbon emissions associated with projected deforestation. To accomplish this objective, the article adopts a Bayesian probit land change model in which spatial dependencies are defined between regions or groups of pixels instead of between individual pixels, thereby reducing computational requirements. It also compares and contrasts the patterns of deforestation predicted by both spatial and non-spatial probit models. The spatial model replicates complex patterns of deforestation whereas the non-spatial model fails to do so. In terms of policy, both models suggest that road construction will increase deforestation by a modest amount, between 200–300 km2. This translates into aboveground carbon emissions of 1.36 and 1.85 x 106 tons. However, recent introduction of palm oil in the region serves as a cautionary example that the models may be underestimating the impact of roads. PMID:27010739

  13. Brandenburg 3D - a comprehensive 3D Subsurface Model, Conception of an Infrastructure Node and a Web Application

    NASA Astrophysics Data System (ADS)

    Kerschke, Dorit; Schilling, Maik; Simon, Andreas; Wächter, Joachim

    2014-05-01

    The Energiewende and the increasing scarcity of raw materials will lead to an intensified utilization of the subsurface in Germany. Within this context, geological 3D modeling is a fundamental approach for integrated decision and planning processes. Initiated by the development of the European Geospatial Infrastructure INSPIRE, the German State Geological Offices started digitizing their predominantly analog archive inventory. Until now, a comprehensive 3D subsurface model of Brandenburg did not exist. Therefore the project B3D strived to develop a new 3D model as well as a subsequent infrastructure node to integrate all geological and spatial data within the Geodaten-Infrastruktur Brandenburg (Geospatial Infrastructure, GDI-BB) and provide it to the public through an interactive 2D/3D web application. The functionality of the web application is based on a client-server architecture. Server-sided, all available spatial data is published through GeoServer. GeoServer is designed for interoperability and acts as the reference implementation of the Open Geospatial Consortium (OGC) Web Feature Service (WFS) standard that provides the interface that allows requests for geographical features. In addition, GeoServer implements, among others, the high performance certified compliant Web Map Service (WMS) that serves geo-referenced map images. For publishing 3D data, the OGC Web 3D Service (W3DS), a portrayal service for three-dimensional geo-data, is used. The W3DS displays elements representing the geometry, appearance, and behavior of geographic objects. On the client side, the web application is solely based on Free and Open Source Software and leans on the JavaScript API WebGL that allows the interactive rendering of 2D and 3D graphics by means of GPU accelerated usage of physics and image processing as part of the web page canvas without the use of plug-ins. WebGL is supported by most web browsers (e.g., Google Chrome, Mozilla Firefox, Safari, and Opera). The web

  14. A model-driven approach for the german health telematics architectural framework and the related security infrastructure.

    PubMed

    Blobel, Bernd; Pharow, Peter

    2005-01-01

    Shared care concepts such as managed care and continuity of care are based on extended communication and co-operation either between different health professionals, or between them and the patient. Health information systems and their components, which are very different in their structure, their behaviour, the respective data, and their semantics as well as regarding implementation details used in different environments for different purposes, have to provide intelligent interoperability. Therefore, flexibility, portability, and future-orientation must be guaranteed using the newest development of model driven architecture. The ongoing work for the German health telematics platform based on an architectural framework and a security infrastructure is described in some detail. This concept of future-proof health information networks with virtual Electronic Health Records as core application starts with multifunctional Electronic Health Cards. It fits into developments currently performed by many other developed countries in Europe and beyond.

  15. Fusion of Airborne and Terrestrial Image-Based 3d Modelling for Road Infrastructure Management - Vision and First Experiments

    NASA Astrophysics Data System (ADS)

    Nebiker, S.; Cavegn, S.; Eugster, H.; Laemmer, K.; Markram, J.; Wagner, R.

    2012-07-01

    In this paper we present the vision and proof of concept of a seamless image-based 3d modelling approach fusing airborne and mobile terrestrial imagery. The proposed fusion relies on dense stereo matching for extracting 3d point clouds which - in combination with the original airborne and terrestrial stereo imagery - create a rich 3d geoinformation and 3d measuring space. For the seamless exploitation of this space we propose using a new virtual globe technology integrating the airborne and terrestrial stereoscopic imagery with the derived 3d point clouds. The concept is applied to road and road infrastructure management and evaluated in a highway mapping project combining stereovision based mobile mapping with high-resolution multispectral airborne road corridor mapping using the new Leica RCD30 sensor.

  16. Lessons from the Unexpected: The Importance of Data Infrastructure, Conceptual Models, and Serendipity in Health Services Research

    PubMed Central

    Mechanic, David

    2001-01-01

    In examining the importance of data systems, conceptual models, and serendipity in understanding health services, the case is made for a vigorous and responsive data infrastructure and more emphasis on conceptual development. Particularly important is the development of data systems that can keep pace with changes in health care organization and patterns of care. Three examples—from managed care, deinstitutionalization, and physician remuneration—demonstrate the need to empirically examine seemingly obvious assumptions about health patterns and trends, and the lessons to be learned when assumptions are proved incorrect. Major future challenges include incorporating patient preferences into outcomes research, meaningful communication about treatment options and health plan choices, and understanding how organizational culture and norms affect decision processes. PMID:11565164

  17. Lessons from the unexpected: the importance of data infrastructure, conceptual models, and serendipity in health services research.

    PubMed

    Mechanic, D

    2001-01-01

    In examining the importance of data systems, conceptual models, and serendipity in understanding health services, the case is made for a vigorous and responsive data infrastructure and more emphasis on conceptual development. Particularly important is the development of data systems that can keep pace with changes in health care organization and patterns of care. Three examples--from managed care, deinstitutionalization, and physician remuneration--demonstrate the need to empirically examine seemingly obvious assumptions about health patterns and trends, and the lessons to be learned when assumptions are proved incorrect. Major future challenges include incorporating patient preferences into outcomes research, meaningful communication about treatment options and health plan choices, and understanding how organizational culture and norms affect decision processes.

  18. Development of virtual patient models for permanent implant brachytherapy Monte Carlo dose calculations: interdependence of CT image artifact mitigation and tissue assignment

    NASA Astrophysics Data System (ADS)

    Miksys, N.; Xu, C.; Beaulieu, L.; Thomson, R. M.

    2015-08-01

    This work investigates and compares CT image metallic artifact reduction (MAR) methods and tissue assignment schemes (TAS) for the development of virtual patient models for permanent implant brachytherapy Monte Carlo (MC) dose calculations. Four MAR techniques are investigated to mitigate seed artifacts from post-implant CT images of a homogeneous phantom and eight prostate patients: a raw sinogram approach using the original CT scanner data and three methods (simple threshold replacement (STR), 3D median filter, and virtual sinogram) requiring only the reconstructed CT image. Virtual patient models are developed using six TAS ranging from the AAPM-ESTRO-ABG TG-186 basic approach of assigning uniform density tissues (resulting in a model not dependent on MAR) to more complex models assigning prostate, calcification, and mixtures of prostate and calcification using CT-derived densities. The EGSnrc user-code BrachyDose is employed to calculate dose distributions. All four MAR methods eliminate bright seed spot artifacts, and the image-based methods provide comparable mitigation of artifacts compared with the raw sinogram approach. However, each MAR technique has limitations: STR is unable to mitigate low CT number artifacts, the median filter blurs the image which challenges the preservation of tissue heterogeneities, and both sinogram approaches introduce new streaks. Large local dose differences are generally due to differences in voxel tissue-type rather than mass density. The largest differences in target dose metrics (D90, V100, V150), over 50% lower compared to the other models, are when uncorrected CT images are used with TAS that consider calcifications. Metrics found using models which include calcifications are generally a few percent lower than prostate-only models. Generally, metrics from any MAR method and any TAS which considers calcifications agree within 6%. Overall, the studied MAR methods and TAS show promise for further retrospective MC dose

  19. Organizational Infrastructure in the Collegiate Athletic Training Setting, Part I: Quality-of-Life Comparisons and Commonalities Among the Models.

    PubMed

    Mazerolle, Stephanie M; Eason, Christianne M; Goodman, Ashley

    2017-01-01

     Some anecdotal evidence has suggested that organizational infrastructure may affect the quality of life of athletic trainers (ATs).  To compare ATs' perspectives on work-life balance, role strain, job satisfaction, and retention in collegiate practice settings within the various models.  Cross-sectional and qualitative study.  National Collegiate Athletic Association Divisions I, II, and III.  Fifty-nine ATs from 3 models (athletics = 25, medical = 20, academic = 14) completed phase I. A total of 24 ATs (15 men, 9 women), 8 from each model, also completed phase II.  Participants completed a Web-based survey for phase I and were interviewed via telephone for phase II. Quantitative data were analyzed using statistical software. Likert-scale answers (1 = strongly disagree, 5 = strongly agree) to the survey questions were analyzed using the Kruskal-Wallis, Mann-Whitney U, and Cohen f tests. Qualitative data were evaluated using a general inductive approach. Multiple-analyst triangulation and peer review were conducted to satisfy data credibility.  Commonalities were communication, social support, and time management and effective work-life balance strategies. Quantitative data revealed that ATs employed in the athletics model worked more hours (69.6 ± 11.8 hours) than those employed in the medical (57.6 ± 10.2 hours; P = .001) or academic (59.5 ± 9.5 hours; P = .02) model, were less satisfied with their pay (2.68 ± 1.1; χ(2) = 7.757, P = .02; f = 0.394), believed that they had less support from their administrators (3.12 ± 1.1; χ(2) = 9.512, P = .009; f = 0.443), and had fewer plans to remain in their current positions (3.20 ± 1.2; χ(2) = 7.134, P = .03; f = 0.374). Athletic trainers employed in the academic model believed that they had less support from coworkers (3.71 ± 0.90; χ(2) = 6.825, P = .03; f = 0.365) and immediate supervisors (3.43 ± 0.90; χ(2) = 6.006, P = .050; f = 0.340). No differences in role conflict were found among the

  20. Toward Liberating Interdependence: Exploring an Intercultural Pedagogy

    ERIC Educational Resources Information Center

    Lee, Boyung

    2010-01-01

    This article proposes a postcolonial intercultural pedagogy, one that can create Liberating Interdependence among communities and across boundaries. First, the author examines conflicting ways that the Exodus is told in different communities: as a story of the God of the oppressed and as a story about an unjust God. Second, after analyzing the…

  1. Independence and Interdependence in Diverse Cultural Contexts.

    ERIC Educational Resources Information Center

    Killen, Melanie; Wainryb, Cecilia

    2000-01-01

    Argues that the individualistic-collectivistic dichotomy results in mislabeling both cultures and individuals. Discusses ways in which individualistic concerns with independence and collectivistic concerns with interdependence coexist in Western and non-Western cultures. Outlines a theoretical framework explaining the coexistence of diverse social…

  2. Terra--A School's Venture into Interdependence.

    ERIC Educational Resources Information Center

    Tashjian, Michi; And Others

    1979-01-01

    To create a feeling of school unity and to reinforce the concept of human interdependence, the teachers of Friends' Central School planned Project Terra, a six-week school-wide activity. With the school viewed as a mythical planet, classes designed their own cultures and interacted as nations. (SJL)

  3. Toward Liberating Interdependence: Exploring an Intercultural Pedagogy

    ERIC Educational Resources Information Center

    Lee, Boyung

    2010-01-01

    This article proposes a postcolonial intercultural pedagogy, one that can create Liberating Interdependence among communities and across boundaries. First, the author examines conflicting ways that the Exodus is told in different communities: as a story of the God of the oppressed and as a story about an unjust God. Second, after analyzing the…

  4. Exploiting and developing interoperability between multidisciplinary environmental research infrastructures in Europe - step toward international collaboration

    NASA Astrophysics Data System (ADS)

    Sorvari, S.; Asmi, A.; Konijn, J.; Pursula, A.; Los, W.; Laj, P.; Kutsch, W. L.

    2014-12-01

    Environmental Research infrastructures are long-term facilities, resources, and related services that are used by research communities to conduct environmental research in their respective fields. The focus of the European environmental Research Infrastructures is in in-situ or short-range remote sensing infrastructures. Each environmental research infrastructure (RI) has its own particular set of science questions and foci that it must solve to achieve its objectives; however every RI is also providing its data and services to the wider user communities and thus contributing to the wider, trans- and interdisciplinary science questions and grand environmental challenges. Thus, there are many issues that most of the RIs share, e.g. data collection, preservation, quality control, integration and availability, as well as providing the computational capability to researchers. ENVRI - Common operation of European Research Infrastructures - project was a collaborative action of major European Environmental RIs working towards increased cooperation and interoperability between the infrastructures (www.envri.eu). From the technological point-of-view, one of the major results is the development of common Environmental RIs Reference Model, which is a tool to effectively enhance the interoperability among RIs. In addition to common technical solutions, also cultural and human related topics need to be tackled in parallel with the technical solutions. Topics such as open access, data policy issues (licenses, citation agreements, IPR agreements), technologies for machine-machine interaction, workflows, metadata, data annotations, and the training of the data scientist and research generalist to make it all work and implemented. These three interdependent resource capitals (technological incl. ENVRI Reference Model, cultural and human capitals) will be discussed in the presentation.

  5. Organizational Infrastructure in the Collegiate Athletic Training Setting, Part III: Benefits of and Barriers in the Medical and Academic Models.

    PubMed

    Eason, Christianne M; Mazerolle, Stephanie M; Goodman, Ashley

    2017-01-01

     Academic and medical models are emerging as alternatives to the athletics model, which is the more predominant model in the collegiate athletic training setting. Little is known about athletic trainers' (ATs') perceptions of these models.  To investigate the perceived benefits of and barriers in the medical and academic models.  Qualitative study.  National Collegiate Athletic Association Divisions I, II, and III.  A total of 16 full-time ATs (10 men, 6 women; age = 32 ± 6 years, experience = 10 ± 6 years) working in the medical (n = 8) or academic (n = 8) models.  We conducted semistructured telephone interviews and evaluated the qualitative data using a general inductive approach. Multiple-analyst triangulation and peer review were completed to satisfy data credibility.  In the medical model, role congruency and work-life balance emerged as benefits, whereas role conflict, specifically intersender conflict with coaches, was a barrier. In the academic model, role congruency emerged as a benefit, and barriers were role strain and work-life conflict. Subscales of role strain included role conflict and role ambiguity for new employees. Role conflict stemmed from intersender conflict with coaches and athletics administrative personnel and interrole conflict with fulfilling multiple overlapping roles (academic, clinical, administrative).  The infrastructure in which ATs provide medical care needs to be evaluated. We found that the medical model can support better alignment for both patient care and the wellbeing of ATs. Whereas the academic model has perceived benefits, role incongruence exists, mostly because of the role complexity associated with balancing teaching, patient-care, and administrative duties.

  6. CSDMS2.0: Computational Infrastructure for Community Surface Dynamics Modeling

    NASA Astrophysics Data System (ADS)

    Syvitski, J. P.; Hutton, E.; Peckham, S. D.; Overeem, I.; Kettner, A.

    2012-12-01

    The Community Surface Dynamic Modeling System (CSDMS) is an NSF-supported, international and community-driven program that seeks to transform the science and practice of earth-surface dynamics modeling. CSDMS integrates a diverse community of more than 850 geoscientists representing 360 international institutions (academic, government, industry) from 60 countries and is supported by a CSDMS Interagency Committee (22 Federal agencies), and a CSDMS Industrial Consortia (18 companies). CSDMS presently distributes more 200 Open Source models and modeling tools, access to high performance computing clusters in support of developing and running models, and a suite of products for education and knowledge transfer. CSDMS software architecture employs frameworks and services that convert stand-alone models into flexible "plug-and-play" components to be assembled into larger applications. CSDMS2.0 will support model applications within a web browser, on a wider variety of computational platforms, and on other high performance computing clusters to ensure robustness and sustainability of the framework. Conversion of stand-alone models into "plug-and-play" components will employ automated wrapping tools. Methods for quantifying model uncertainty are being adapted as part of the modeling framework. Benchmarking data is being incorporated into the CSDMS modeling framework to support model inter-comparison. Finally, a robust mechanism for ingesting and utilizing semantic mediation databases is being developed within the Modeling Framework. Six new community initiatives are being pursued: 1) an earth - ecosystem modeling initiative to capture ecosystem dynamics and ensuing interactions with landscapes, 2) a geodynamics initiative to investigate the interplay among climate, geomorphology, and tectonic processes, 3) an Anthropocene modeling initiative, to incorporate mechanistic models of human influences, 4) a coastal vulnerability modeling initiative, with emphasis on deltas and

  7. An open source web interface for linking models to infrastructure system databases

    NASA Astrophysics Data System (ADS)

    Knox, S.; Mohamed, K.; Harou, J. J.; Rheinheimer, D. E.; Medellin-Azuara, J.; Meier, P.; Tilmant, A.; Rosenberg, D. E.

    2016-12-01

    Models of networked engineered resource systems such as water or energy systems are often built collaboratively with developers from different domains working at different locations. These models can be linked to large scale real world databases, and they are constantly being improved and extended. As the development and application of these models becomes more sophisticated, and the computing power required for simulations and/or optimisations increases, so has the need for online services and tools which enable the efficient development and deployment of these models. Hydra Platform is an open source, web-based data management system, which allows modellers of network-based models to remotely store network topology and associated data in a generalised manner, allowing it to serve multiple disciplines. Hydra Platform uses a web API using JSON to allow external programs (referred to as `Apps') to interact with its stored networks and perform actions such as importing data, running models, or exporting the networks to different formats. Hydra Platform supports multiple users accessing the same network and has a suite of functions for managing users and data. We present ongoing development in Hydra Platform, the Hydra Web User Interface, through which users can collaboratively manage network data and models in a web browser. The web interface allows multiple users to graphically access, edit and share their networks, run apps and view results. Through apps, which are located on the server, the web interface can give users access to external data sources and models without the need to install or configure any software. This also ensures model results can be reproduced by removing platform or version dependence. Managing data and deploying models via the web interface provides a way for multiple modellers to collaboratively manage data, deploy and monitor model runs and analyse results.

  8. Natural hazard resilient cities: the case of a SSMS model

    NASA Astrophysics Data System (ADS)

    Santos-Reyes, Jaime

    2010-05-01

    Modern society is characterised by complexity; i.e. technical systems are highly complex and highly interdependent. The nature of the interdependence amongst these systems has become an issue on increasing importance in recent years. Moreover, these systems face a number threats ranging from technical, human and natural. For example, natural hazards (earthquakes, floods, heavy snow, etc) can cause significant problems and disruption to normal life. On the other hand, modern society depends on highly interdependent infrastructures such as transport (rail, road, air, etc), telecommunications, power and water supply, etc. Furthermore, in many cases there is no single owner, operator, and regulator of such systems. Any disruption in any of the interconnected systems may cause a domino-effect. The domino-effect may occur at local, regional or at national level; or, in some cases; it may be extended across international borders. Given the above, it may be argued that society is less resilient to such events and therefore there is a need to have a system in place able to maintain risk within an acceptable range, whatever that might be. This paper presents the modelling process of the interdependences amongst "critical infrastructures" (i.e. transport, telecommunications, power & water supply, etc) for a typical city. The approach has been the application of the developed Systemic Safety Management System (SSMS) model. The main conclusion is that the SSMS model has the potentiality to be used to model interdependencies amongst the so called "critical infrastructures". It is hoped that the approach presented in this paper may help to gain a better understanding of the interdependence amongst these systems and may contribute to a resilient society when disrupted by natural hazards.

  9. Claudin-4 forms a paracellular barrier, revealing the interdependence of claudin expression in the loose epithelial cell culture model opossum kidney cells.

    PubMed

    Borovac, Jelena; Barker, Reid S; Rievaj, Juraj; Rasmussen, Andrew; Pan, Wanling; Wevrick, Rachel; Alexander, R Todd

    2012-12-15

    The effect of claudins on paracellular fluxes has been predominantly studied in either Madin-Darby canine kidney (MDCK) or LLCPK cells. Neither model system has a very low transepithelial resistance (TER) as observed in leaky epithelia. Moreover, results from one model system are not always consistent with another. Opossum kidney (OK) cells form tight junctions yet have a very low TER. We therefore set out to characterize the paracellular transport properties of this cell culture model. Ussing chamber dilution potential measurements revealed that OK cells exhibit a very low TER (11.7 ± 1.4 Ω·cm(2)), slight cation selectivity (P(Na)/P(Cl) = 1.10 ± 0.01), and the Eisenman permeability sequence IV; the permeability of monovalent cations ranking K(+) > Cs(+) > Rb(+) > Na(+) > Li(+). Quantitative real-time PCR studies found that OK cells endogenously express claudin-4 > -1 > -6 > -20 > -9 > -12 > -11 > -15. Overexpression of claudin-4 significantly increased TER, decreased Na(+) and Cl(-) permeability, and increased levels of claudin-1, -6, and -9 mRNA. Knockdown of claudin-4 in the overexpressing cells significantly decreased TER without altering claudin expression; thus claudin-4 forms a barrier in OK cells. Knockdown of endogenous claudin-4 decreased claudin-1, -9, and -12 expression without altering TER. Claudin-2 overexpression decreased TER, significantly increased Na(+) and Cl(-) permeability, and decreased claudin-12 and -6 expression. Together these results demonstrate that claudin expression is tightly coupled in OK cells.

  10. Organizational Infrastructure in the Collegiate Athletic Training Setting, Part II: Benefits of and Barriers in the Athletics Model.

    PubMed

    Goodman, Ashley; Mazerolle, Stephanie M; Eason, Christianne M

    2017-01-01

     The athletics model, in which athletic training clinical programs are part of the athletics department, is the predominant model in the collegiate athletic training setting. Little is known about athletic trainers' (ATs') perceptions of this model, particularly as it relates to organizational hierarchy.  To explore the perceived benefits of and barriers in the athletics model.  Qualitative study.  National Collegiate Athletic Association Divisions I and III.  Eight full-time ATs (5 men, 3 women; age = 41 ± 13 years, time employed at the current institution = 14 ± 14 years, experience as a certified AT = 18 ± 13 years) working in the collegiate setting using the athletics model.  We conducted semistructured interviews via telephone or in person and used a general inductive approach to analyze the qualitative data. Multiple-analyst triangulation and peer review established trustworthiness.  Two benefits and 3 barriers emerged from the data. Role identity emerged as a benefit that occurred with role clarity, validation, and acceptance of the collegiate AT personality. Role congruence emerged as a benefit of the athletics model that occurred with 2 lower-order themes: relationship building and physician alignment and support. Role strain, staffing concerns, and work-life conflict emerged as barriers in the athletics model. Role strain occurred with 2 primary lower-order themes: role incongruity and role conflict.  The athletics model is the most common infrastructure for employing ATs in collegiate athletics. Participants expressed positive experiences via character identity, support, trust relationships, and longevity. However, common barriers remain. To reduce role strain, misaligning values, and work-life conflict, ATs working in the athletics model are encouraged to evaluate their relationships with coaches and their supervisor and consider team physician alignment. Moreover, measures to increase quality athletic training staff from a care

  11. Percolation of interdependent networks with intersimilarity

    NASA Astrophysics Data System (ADS)

    Hu, Yanqing; Zhou, Dong; Zhang, Rui; Han, Zhangang; Rozenblat, Céline; Havlin, Shlomo

    2013-11-01

    Real data show that interdependent networks usually involve intersimilarity. Intersimilarity means that a pair of interdependent nodes have neighbors in both networks that are also interdependent [Parshani Europhys. Lett.EULEEJ0295-507510.1209/0295-5075/92/68002 92, 68002 (2010)]. For example, the coupled worldwide port network and the global airport network are intersimilar since many pairs of linked nodes (neighboring cities), by direct flights and direct shipping lines, exist in both networks. Nodes in both networks in the same city are regarded as interdependent. If two neighboring nodes in one network depend on neighboring nodes in the other network, we call these links common links. The fraction of common links in the system is a measure of intersimilarity. Previous simulation results of Parshani suggest that intersimilarity has considerable effects on reducing the cascading failures; however, a theoretical understanding of this effect on the cascading process is currently missing. Here we map the cascading process with intersimilarity to a percolation of networks composed of components of common links and noncommon links. This transforms the percolation of intersimilar system to a regular percolation on a series of subnetworks, which can be solved analytically. We apply our analysis to the case where the network of common links is an Erdős-Rényi (ER) network with the average degree K, and the two networks of noncommon links are also ER networks. We show for a fully coupled pair of ER networks, that for any K⩾0, although the cascade is reduced with increasing K, the phase transition is still discontinuous. Our analysis can be generalized to any kind of interdependent random network systems.

  12. The overloaded right heart and ventricular interdependence.

    PubMed

    Naeije, Robert; Badagliacca, Roberto

    2017-10-01

    The right and the left ventricle are interdependent as both structures are nested within the pericardium, have the septum in common and are encircled with common myocardial fibres. Therefore, right ventricular volume or pressure overloading affects left ventricular function, and this in turn may affect the right ventricle. In normal subjects at rest, right ventricular function has negligible interaction with left ventricular function. However, the right ventricle contributes significantly to the normal cardiac output response to exercise. In patients with right ventricular volume overload without pulmonary hypertension, left ventricular diastolic compliance is decreased and ejection fraction depressed but without intrinsic alteration in contractility. In patients with right ventricular pressure overload, left ventricular compliance is decreased with initial preservation of left ventricular ejection fraction, but with eventual left ventricular atrophic remodelling and altered systolic function. Breathing affects ventricular interdependence, in healthy subjects during exercise and in patients with lung diseases and altered respiratory system mechanics. Inspiration increases right ventricular volumes and decreases left ventricular volumes. Expiration decreases both right and left ventricular volumes. The presence of an intact pericardium enhances ventricular diastolic interdependence but has negligible effect on ventricular systolic interdependence. On the other hand, systolic interdependence is enhanced by a stiff right ventricular free wall, and decreased by a stiff septum. Recent imaging studies have shown that both diastolic and systolic ventricular interactions are negatively affected by right ventricular regional inhomogeneity and prolongation of contraction, which occur along with an increase in pulmonary artery pressure. The clinical relevance of these observations is being explored. Published on behalf of the European Society of Cardiology. All rights

  13. Building Information Modelling (BIM) and Unmanned Aerial Vehicle (UAV) technologies in infrastructure construction project management and delay and disruption analysis

    NASA Astrophysics Data System (ADS)

    Vacanas, Yiannis; Themistocleous, Kyriacos; Agapiou, Athos; Hadjimitsis, Diofantos

    2015-06-01

    Time in infrastructure construction projects has always been a fundamental issue as early as from the inception of a project, during the construction process and often after the completion and delivery. In a typical construction contract time related matters such as the completion date and possible delays are among the most important issues that are dealt with by the contract provisions. In the event of delay there are usually provisions for extension of time award to the contractor with possible reimbursement for the extra cost and expenses caused by this extension of time to the contract duration. In the case the contractor is not entitled to extension of time, the owner will be possibly entitled to amounts as compensation for the time prohibited from using his development. Even in the event of completion within the time agreed, under certain circumstances a contractor may have claims for reimbursement for extra costs incurred due to induced acceleration measures he had to take in order to mitigate disruption effects caused to the progress of the works by the owner or his representatives. Depending on the size of the project and the agreement amount, these reimbursement sums may be extremely high. Therefore innovative methods with the exploitation of new technologies for effective project management for the avoidance of delays, delay analysis and mitigation measures are essential; moreover, methods for collecting efficiently information during the construction process so that disputes regarding time are avoided or resolved in a quick and fair manner are required. This paper explores the state of art for existing use of Building Information Modelling (BIM) and Unmanned Aerial Vehicles (UAV) technologies in the construction industry in general. Moreover the paper considers the prospect of using BIM technology in conjunction with the use of UAV technology for efficient and accurate as-built data collection and illustration of the works progress during an

  14. ESDORA: A Data Archive Infrastructure Using Digital Object Model and Open Source Frameworks

    NASA Astrophysics Data System (ADS)

    Shrestha, Biva; Pan, Jerry; Green, Jim; Palanisamy, Giriprakash; Wei, Yaxing; Lenhardt, W.; Cook, R. Bob; Wilson, B. E.; Leggott, M.

    2011-12-01

    There are an array of challenges associated with preserving, managing, and using contemporary scientific data. Large volume, multiple formats and data services, and the lack of a coherent mechanism for metadata/data management are some of the common issues across data centers. It is often difficult to preserve the data history and lineage information, along with other descriptive metadata, hindering the true science value for the archived data products. In this project, we use digital object abstraction architecture as the information/knowledge framework to address these challenges. We have used the following open-source frameworks: Fedora-Commons Repository, Drupal Content Management System, Islandora (Drupal Module) and Apache Solr Search Engine. The system is an active archive infrastructure for Earth Science data resources, which include ingestion, archiving, distribution, and discovery functionalities. We use an ingestion workflow to ingest the data and metadata, where many different aspects of data descriptions (including structured and non-structured metadata) are reviewed. The data and metadata are published after reviewing multiple times. They are staged during the reviewing phase. Each digital object is encoded in XML for long-term preservation of the content and relations among the digital items. The software architecture provides a flexible, modularized framework for adding pluggable user-oriented functionality. Solr is used to enable word search as well as faceted search. A home grown spatial search module is plugged in to allow user to make a spatial selection in a map view. A RDF semantic store within the Fedora-Commons Repository is used for storing information on data lineage, dissemination services, and text-based metadata. We use the semantic notion "isViewerFor" to register internally or externally referenced URLs, which are rendered within the same web browser when possible. With appropriate mapping of content into digital objects, many

  15. The Emerging Interdependence of the Electric Power Grid & Information and Communication Technology

    SciTech Connect

    Taft, Jeffrey D.; Becker-Dippmann, Angela S.

    2015-08-01

    This paper examines the implications of emerging interdependencies between the electric power grid and Information and Communication Technology (ICT). Over the past two decades, electricity and ICT infrastructure have become increasingly interdependent, driven by a combination of factors including advances in sensor, network and software technologies and progress in their deployment, the need to provide increasing levels of wide-area situational awareness regarding grid conditions, and the promise of enhanced operational efficiencies. Grid operators’ ability to utilize new and closer-to-real-time data generated by sensors throughout the system is providing early returns, particularly with respect to management of the transmission system for purposes of reliability, coordination, congestion management, and integration of variable electricity resources such as wind generation.

  16. Mathematical modelling of tsunami impacts on critical infrastructures: exposure and severity associated with debris transport at Sines port, Portugal.

    NASA Astrophysics Data System (ADS)

    Conde, Daniel; Baptista, Maria Ana; Sousa Oliveira, Carlos; Ferreira, Rui M. L.

    2015-04-01

    Global energy production is still significantly dependant on the coal supply chain, justifying huge investments on building infrastructures, capable of stocking very large quantities of this natural resource. Most of these infrastructures are located at deep-sea ports and are therefore exposed to extreme coastal hazards, such as tsunami impacts. The 2011 Tohoku tsunami is reported to have inflicted severe damage to Japan's coal-fired power stations and related infrastructure. Sines, located in the Portuguese coast, hosts a major commercial port featuring an exposed coal stockpile area extending over more than 24 ha and a container terminal currently under expansion up to 100ha. It is protected against storm surges but tsunamis have not been considered in the design criteria. The dominant wind-generated wave direction is N to NW, while the main tsunamigenic faults are located S to SW of the port. This configuration potentially exposes sensitive facilities, such as the new terminal container and the coal stockpile area. According to a recent revision of the national tsunami catalogue (Baptista, 2009), Portugal has been affected by numerous major tsunamis over the last two millennia, with the most notorious event being the Great Lisbon Earthquake and Tsunami occurred on the 1st November 1755. The aim of this work is to simulate the open ocean propagation and overland impact of a tsunami on the Sines port, similar to the historical event of 1755, based on the different tsunamigenic faults and magnitudes proposed in the current literature. Open ocean propagation was modelled with standard simulation tools like TUNAMI and GeoClaw. Near-shore and overland propagation was carried out using a recent 2DH mathematical model for solid-fluid flows, STAV-2D from CERIS-IST (Ferreira et al., 2009; Canelas, 2013). STAV-2D is particularly suited for tsunami propagation over complex and morphodynamic geometries, featuring a discretization scheme based on a finite-volume method using

  17. Modeling network infrastructure and performance evaluation for PACS: DICOM over ethernet-based TCP/IP

    NASA Astrophysics Data System (ADS)

    Arvanitis, Theodoros N.; Roth, David

    2001-08-01

    Studies of information and process modeling have demonstrated the importance and clinical impact of Picture Archiving and Communication Systems in the efficient operational management of imaging within the clinical setting. The appropriate identification of both clinical and technology requirements for the planning and deployment of such systems is essential to achieve cost-effectiveness in use. The understanding of the complexities of clinically viable network topologies and architectures for PACS can be achieved through realistic simulations and modeling. The purpose of this paper is to provide a methodology for modeling the DICOM session and application layer entities over Ethernet-based TCP/IP, by using the OPNET Modeler, and derive performance evaluation metrics for different PACS network topologies.

  18. Dynamic Modeling and Evaluation of Recurring Infrastructure Maintenance Budget Determination Methods

    DTIC Science & Technology

    2005-03-01

    Lemer Behavioral Pattern Seriveability vs. Time .............................................. 35 Figure 6 Reference Model Serviceability vs. Time...35 Figure 5 Lemer Behavioral Pattern Seriveability vs. Time Lemer’s (1996) diagram further supports the initial phase of slow

  19. Whole Life Program. The Acculturation Model of Interdependent Apartment Living for Adults with Disabilities. Interfacing Individual Rights with the Responsibilities of Community Living. Continuing Education Courses through College for Living.

    ERIC Educational Resources Information Center

    Black, Jan L.; Roelofs, Alice R.

    This book is a resource for human service professionals with detailed information necessary to start, maintain, monitor, assess, and reevaluate a program targeting independence. It describes the Whole Life Program, an interdependent apartment program combined with continuing education for adults with developmental, physical, and emotional…

  20. A Model for Sustainable Development of Child Mental Health Infrastructure in the LMIC World: Vietnam as a Case Example

    PubMed Central

    Weiss, Bahr; Ngo, Victoria Khanh; Dang, Hoang-Minh; Pollack, Amie; Trung, Lam T.; Tran, Cong V.; Tran, Nam T.; Sang, David; Do, Khanh N.

    2012-01-01

    Children and adolescents are among the highest need populations in regards to mental health support, especially in low and middle income countries (LMIC). Yet resources in LMIC for prevention and treatment of mental health problems are limited, in particular for children and adolescents. In this paper, we discuss a model for development of child and adolescent mental health (CAMH) resources in LMIC that has guided a ten year initiative focused on development of CAMH treatment and research infrastructure in Vietnam. We first review the need for development of mental health resources for children and adolescents in general, and then in Vietnam. We next present the model that guided our program as it developed, focused on the twin Capacity Development Goals of efficacy and sustainability, and the Capacity Development Targets used to move towards these goals. Finally we discuss our CAMH development initiative in Vietnam, the center of which has been development of a graduate program in clinical psychology at Vietnam National University, linking program activities to this model. PMID:24701368

  1. BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

    PubMed Central

    Van Geit, Werner; Gevaert, Michael; Chindemi, Giuseppe; Rössert, Christian; Courcol, Jean-Denis; Muller, Eilif B.; Schürmann, Felix; Segev, Idan; Markram, Henry

    2016-01-01

    At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parameterizing such models to conform to the multitude of available experimental constraints is a global non-linear optimisation problem with a complex fitness landscape, requiring numerical techniques to find suitable approximate solutions. Stochastic optimisation approaches, such as evolutionary algorithms, have been shown to be effective, but often the setting up of such optimisations and the choice of a specific search algorithm and its parameters is non-trivial, requiring domain-specific expertise. Here we describe BluePyOpt, a Python package targeted at the broad neuroscience community to simplify this task. BluePyOpt is an extensible framework for data-driven model parameter optimisation that wraps and standardizes several existing open-source tools. It simplifies the task of creating and sharing these optimisations, and the associated techniques and knowledge. This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices. Further, BluePyOpt provides methods for setting up both small- and large-scale optimisations on a variety of platforms, ranging from laptops to Linux clusters and cloud-based compute infrastructures. The versatility of the BluePyOpt framework is demonstrated by working through three representative neuroscience specific use cases. PMID:27375471

  2. The effects of perceived social support on quality of life in patients awaiting coronary artery bypass grafting and their partners: testing dyadic dynamics using the Actor-Partner Interdependence Model.

    PubMed

    Thomson, Patricia; Molloy, Gerard J; Chung, Misook L

    2012-01-01

    Patients awaiting coronary artery bypass grafting (CABG) need support from their partners or family caregivers to manage their self care successfully and to maximise quality of life. Partners need social support to help overcome the stressful tasks of an unexpected caregiving role. It is not known whether the individual's perceived social support contributes to their own, as well as their partner's quality of life. The aims of this study were to assess differences in social support and quality of life in patients and partners awaiting CABG, and to examine whether patients' and partners' perceived social support predicted their own, as well as their partner's quality of life before CABG. This cross-sectional study recruited 84 dyads (patients 84% males, aged 64.5 years and partners 94% females, aged 61.05 years). Perceived social support was assessed using the Medical Outcomes Study Social Support survey, with sub-scales for informational/emotional support, affectionate support, tangible support and positive social interaction. Quality of life was assessed using the Short-Form 12 Health Survey. Dyadic data were analysed using the Actor-Partner Interdependence Model, with distinguishable dyad regression. Results revealed the patients' informational/emotional support exhibited an actor effect on their own mental health (ß = 0.19, p = 0.001); indicating those with low informational/emotional support had poorer mental health. There was a partner effect of the patients' informational/emotional support on their partner's mental health (ß = 0.14, p = 0.024), indicating the patients' informational/emotional support was associated with the partner's mental health. None of the other types of social support exhibited an actor effect or a partner effect on the patient's or the partner's mental or physical health. More research into the relationship between social support and mental health is needed to help inform the design of interventions that target the dyad.

  3. The TERENO-preAlpine Observatory: A Research Infrastructure for Hydrometeorological Observation and -Modeling across Compartments and Scales

    NASA Astrophysics Data System (ADS)

    Kunstmann, H.; Beck, C.; Brosy, C.; Chwala, C.; Emeis, S.; Fersch, B.; Garvelmann, J.; Gasche, R.; Jahn, C.; Junkermann, W.; Keis, F.; Kiese, R.; Krieg, R.; Mauder, M.; Ralf, M.; Neidl, F.; Philipp, A.; Schäfer, K.; Schmid, H. P. E.; Völksch, I.; Warscher, M.; Werhahn, J.; Wolf, B.; Senatore, A.; Rödiger, T.

    2015-12-01

    The improved understanding of the interlinked atmospheric and terrestrial hydrological processes requires concerted and compartment-crossing observation and -modeling efforts. Through the TERENO preAlpine Observatory, located in the southern Bavarian region of Germany, comprehensive technical infrastructure is being established to allow joint analyses of water-, energy- and nutrient fluxes. The observatory extends from the Ammergau mountains in the South till Lake Ammersee in the North. The observatory is designated as an international research platform, open for participation and integration. The technical infrastructure consists of a multitude of precipitation gauges at different altitudes, an X-band radar, and a set of commercial microwave radio links allowing to derive line integrated precipitation estimates, numerous snow monitoring stations, a SnowPack Analyzer, neutron based SnowFox devices, as well as a snow melt lysimeter and time-lapse photography. For the quantification of the combined water and energy fluxes, three eddy covariance systems including four-component net-radiometers and soil-heat flux instrumentation are operated. Soil moisture patterns and dynamics are measured with a wireless sensor network consisting of 55 in-situ soil moisture profiles, a cosmic ray probe probe and 36 precision weighing vegetated lysimeters at different locations and altitudes. Groundwater dynamics and hydrogeochemical composition of the two main local aquifers are monitored at five observation wells as well as streamflow at three weirs at various cross sections. Additionally, stable water isotopes are analyzed. The operational monitoring is complemented by intensive measurement campaigns, like the ScaleX campaign in June and July 2015 for which we present first results. Here, additional remote sensing measurements of atmospheric wind, humidity and temperature profiles are performed, which are complemented by micro-light aircraft- and UAV-based remote sensing for three

  4. Flight Test of Composite Model Reference Adaptive Control (CMRAC) Augmentation Using NASA AirSTAR Infrastructure

    NASA Technical Reports Server (NTRS)

    Gregory, Irene M.; Gadient, ROss; Lavretsky, Eugene

    2011-01-01

    This paper presents flight test results of a robust linear baseline controller with and without composite adaptive control augmentation. The flight testing was conducted using the NASA Generic Transport Model as part of the Airborne Subscale Transport Aircraft Research system at NASA Langley Research Center.

  5. PERFLUOROCARBON GAS TRACER STUDIES TO SUPPORT RISK ASSESSMENT MODELING OF CRITICAL INFRASTRUCTURE SUBJECTED TO TERRORIST ATTACKS.

    SciTech Connect

    SULLIVAN, T.M.; HEISER, J.; WATSON, T.; ALLWINE, K.J.; FLAHERTY, J.E.

    2006-05-06

    Development of real-time predictive modeling to identify the dispersion and/or source(s) of airborne weapons of mass destruction including chemical, biological, radiological, and nuclear material in urban environments is needed to improve response to potential releases of these materials via either terrorist or accidental means. These models will also prove useful in defining airborne pollution dispersion in urban environments for pollution management/abatement programs. Predicting gas flow in an urban setting on a scale of less than a few kilometers is a complicated and challenging task due to the irregular flow paths that occur along streets and alleys and around buildings of different sizes and shapes, i.e., ''urban canyons''. In addition, air exchange between the outside and buildings and subway areas further complicate the situation. Transport models that are used to predict dispersion of WMD/CBRN materials or to back track the source of the release require high-density data and need defensible parameterizations of urban processes. Errors in the data or any of the parameter inputs or assumptions will lead to misidentification of the airborne spread or source release location(s). The need for these models to provide output in a real-time fashion if they are to be useful for emergency response provides another challenge. To improve the ability of New York City's (NYC's) emergency management teams and first response personnel to protect the public during releases of hazardous materials, the New York City Urban Dispersion Program (UDP) has been initiated. This is a four year research program being conducted from 2004 through 2007. This paper will discuss ground level and subway Perfluorocarbon tracer (PFT) release studies conducted in New York City. The studies released multiple tracers to study ground level and vertical transport of contaminants. This paper will discuss the results from these tests and how these results can be used for improving transport models

  6. Perfluorocarbon Gas Tracer Studies to Support Risk Assessment Modeling of Critical Infrastructure Subjected to Terrorist Attacks

    SciTech Connect

    Sullivan, Terry M.; Heiser, John H.; Watson, Tom; Allwine, K Jerry; Flaherty, Julia E.

    2006-05-06

    Development of real-time predictive modeling to identify the dispersion and/or source(s) of airborne weapons of mass destruction including chemical, biological, radiological, and nuclear material in urban environments is needed to improve response to potential releases of these materials via either terrorist or accidental means. These models will also prove useful in defining airborne pollution dispersion in urban environments for pollution management/abatement programs. Predicting gas flow in an urban setting on a scale of less than a few kilometers is a complicated and challenging task due to the irregular flow paths that occur along streets and alleys and around buildings of different sizes and shapes, i.e., “urban canyons”. In addition, air exchange between the outside and buildings and subway areas further complicate the situation. Transport models that are used to predict dispersion of WMD/CBRN materials or to back track the source of the release require high-density data and need defensible parameterizations of urban processes. Errors in the data or any of the parameter inputs or assumptions will lead to misidentification of the airborne spread or source release location(s). The need for these models to provide output in a real-time fashion if they are to be useful for emergency response provides another challenge. To improve the ability of New York City’s (NYC's) emergency management teams and first response personnel to protect the public during releases of hazardous materials, the New York City Urban Dispersion Program (UDP) has been initiated. This is a four year research program being conducted from 2004 through 2007. This paper will discuss ground level and subway Perfluorocarbon tracer (PFT) release studies conducted in New York City. The studies released multiple tracers to study ground level and vertical transport of contaminants. This paper will discuss the results from these tests and how these results can be used for improving transport

  7. Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation.

    SciTech Connect

    Saffer, Shelley I.

    2014-12-01

    This is a final report of the DOE award DE-SC0001132, Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation. This document describes the achievements of the goals, and resulting research made possible by this award.

  8. Evaluating the role of green infrastructures on near-road pollutant dispersion and removal: Modelling and measurement.

    PubMed

    Morakinyo, Tobi Eniolu; Lam, Yun Fat; Hao, Song

    2016-11-01

    To enhance the quality of human life in a rapidly urbanized world plagued with high transportation, the masterful contribution of improved urban and local air quality cannot be overemphasized. In order to reduce human exposure to near-road air pollution, several approaches including the installation of roadside structural barriers especially in open street areas, such as city entrances are being applied. In the present study, the air quality around real world and idealized green infrastructures was investigated by means of numerical simulation and a short field measurement campaign. Fair agreement was found between ENVI-met modelled and measured particulate matter's concentration data around a realistic vegetation barrier indicating a fair representation of reality in the model. Several numerical experiments were conducted to investigate the influence of barrier type (vegetation/hedge and green wall) and dimensions on near-road air quality. The results show different horizontal/vertical patterns and magnitudes of upwind and downwind relative concentration (with and without a barrier) depending on wind condition, barrier type and dimension. Furthermore, an integrated dispersion-deposition approach was employed to assess the impact on air quality of near-road vegetation barrier. At last, recommendations to city and urban planners on the implementation of roadside structural barriers were made.

  9. Modeling the effects of health status and the educational infrastructure on the cognitive development of Tanzanian schoolchildren.

    PubMed

    Bhargava, Alok; Jukes, Matthew; Ngorosho, Damaris; Khilma, Charles; Bundy, Donald A P

    2005-01-01

    This paper models the proximate determinants of school attendance and scores on cognitive and educational achievement tests and on school examinations of over 600 schoolchildren from the Control group of a randomized trial in Tanzania, where children in the Intervention group heavily infected with hookworm and schistosomiasis received treatment. The modeling approach used a random effects framework and incorporated the inter-relationships between school attendance and performance on various tests, controlling for children's health status, socioeconomic variables, grade level, and the educational infrastructure. The empirical results showed the importance of variables such as children's height and hemoglobin concentration for the scores, especially on educational achievement tests that are easy to implement in developing countries. Also, teacher experience and work assignments were significant predictors of the scores on educational achievement tests, and there was some evidence of multiplicative effects of children's heights and work assignments on the test scores. Lastly, some comparisons were made for changes in test scores of treated children in the Intervention group with the untreated children in the Control group.

  10. A qualitative readiness-requirements assessment model for enterprise big-data infrastructure investment

    NASA Astrophysics Data System (ADS)

    Olama, Mohammed M.; McNair, Allen W.; Sukumar, Sreenivas R.; Nutaro, James J.

    2014-05-01

    In the last three decades, there has been an exponential growth in the area of information technology providing the information processing needs of data-driven businesses in government, science, and private industry in the form of capturing, staging, integrating, conveying, analyzing, and transferring data that will help knowledge workers and decision makers make sound business decisions. Data integration across enterprise warehouses is one of the most challenging steps in the big data analytics strategy. Several levels of data integration have been identified across enterprise warehouses: data accessibility, common data platform, and consolidated data model. Each level of integration has its own set of complexities that requires a certain amount of time, budget, and resources to implement. Such levels of integration are designed to address the technical challenges inherent in consolidating the disparate data sources. In this paper, we present a methodology based on industry best practices to measure the readiness of an organization and its data sets against the different levels of data integration. We introduce a new Integration Level Model (ILM) tool, which is used for quantifying an organization and data system's readiness to share data at a certain level of data integration. It is based largely on the established and accepted framework provided in the Data Management Association (DAMADMBOK). It comprises several key data management functions and supporting activities, together with several environmental elements that describe and apply to each function. The proposed model scores the maturity of a system's data governance processes and provides a pragmatic methodology for evaluating integration risks. The higher the computed scores, the better managed the source data system and the greater the likelihood that the data system can be brought in at a higher level of integration.

  11. A Qualitative Readiness-Requirements Assessment Model for Enterprise Big-Data Infrastructure Investment

    SciTech Connect

    Olama, Mohammed M; McNair, Wade; Sukumar, Sreenivas R; Nutaro, James J

    2014-01-01

    In the last three decades, there has been an exponential growth in the area of information technology providing the information processing needs of data-driven businesses in government, science, and private industry in the form of capturing, staging, integrating, conveying, analyzing, and transferring data that will help knowledge workers and decision makers make sound business decisions. Data integration across enterprise warehouses is one of the most challenging steps in the big data analytics strategy. Several levels of data integration have been identified across enterprise warehouses: data accessibility, common data platform, and consolidated data model. Each level of integration has its own set of complexities that requires a certain amount of time, budget, and resources to implement. Such levels of integration are designed to address the technical challenges inherent in consolidating the disparate data sources. In this paper, we present a methodology based on industry best practices to measure the readiness of an organization and its data sets against the different levels of data integration. We introduce a new Integration Level Model (ILM) tool, which is used for quantifying an organization and data system s readiness to share data at a certain level of data integration. It is based largely on the established and accepted framework provided in the Data Management Association (DAMA-DMBOK). It comprises several key data management functions and supporting activities, together with several environmental elements that describe and apply to each function. The proposed model scores the maturity of a system s data governance processes and provides a pragmatic methodology for evaluating integration risks. The higher the computed scores, the better managed the source data system and the greater the likelihood that the data system can be brought in at a higher level of integration.

  12. Technology Interdependency Roadmaps for Space Operations

    NASA Technical Reports Server (NTRS)

    Krishen, Kumar

    1995-01-01

    The requirements for Space Technology are outlined in terms of NASA Strategic Plan. The national emphasis on economic revitalization is described along with the environmental changes needed for the new direction. Space Technology Interdependency (STI) is elaborated in terms of its impact on national priority on science, education, and economy. Some suggested approaches to strengthening STI are outlined. Finally, examples of Technology Roadmaps for Space Operations area are included to illustrate the value of STI for national cohesiveness and economic revitalization.

  13. Technology Interdependency Roadmaps for Space Operations

    NASA Technical Reports Server (NTRS)

    Krishen, Kumar

    1995-01-01

    The requirements for Space Technology are outlined in terms of NASA Strategic Plan. The national emphasis on economic revitalization is described along with the environmental changes needed for the new direction. Space Technology Interdependency (STI) is elaborated in terms of its impact on national priority on science, education, and economy. Some suggested approaches to strengthening STI are outlined. Finally, examples of Technology Roadmaps for Space Operations area are included to illustrate the value of STI for national cohesiveness and economic revitalization.

  14. Interdependence of attention and consciousness.

    PubMed

    Srinivasan, Narayanan

    2008-01-01

    Research on attention has been closely linked with possible advances in the study of consciousness. Various theories and models have been proposed for attention in the past 50 years. Behavioural, computational, and neuroscientific approaches have been successful in improving our understanding of attentional processes. Given the current status of attention research, what can we say about the relationship between attention and consciousness? This paper discusses the possible relationships between attention and consciousness. Findings from cognitive science and neuroscience relevant to the elucidation of this relationship are discussed. Recent findings from phenomena that have a bearing on this relationship such as inattentional amnesia, change blindness, attentional blink, perceptual stabilization, and afterimages are described. The implications of the results of these phenomena for attention and awareness are also discussed. It is proposed that top-down attention is not a unitary phenomena and such a characterization may provide a way to interpret some of the results from these findings.

  15. Influence of parenchymal heterogeneity on airway-parenchymal interdependence.

    PubMed

    Ma, Baoshun; Breen, Barbara; Bates, Jason H T

    2013-08-15

    To estimate the influence of parenchymal heterogeneities on airway-parenchymal interdependence, we considered a circular airway embedded within elastic parenchyma modeled as (1) a hexagonal spring network, (2) a triangular spring network, or (3) a continuum. The deformation in the parenchyma due to active airway contraction was simulated using the finite element method. Random perturbations of elastic moduli in the parenchyma did not significantly affect the overall pattern of force transmission. By contrast, when elastic moduli were increased along a path projecting radially outward from the airway, the hexagonal spring network model predicted significantly increased force along this line as the airway contracted, but this was not observed in other two models. These results indicate that tissue heterogeneities generally have minimal effect on the global nature of airway-parenchymal interdependence. However, in the exceptional circumstance of scar tissue aligned radially from the airway wall, parenchymal distortion forces may propagate much farther from the airway wall than was previously thought. Copyright © 2013 Elsevier B.V. All rights reserved.

  16. Anger Suppression, Interdependent Self-Construal, and Depression among Asian American and European American College Students

    PubMed Central

    Cheung, Rebecca Y. M.; Park, Irene J. K.

    2010-01-01

    The present study tested a theoretical model of emotion regulation (Yap, Sheeber, & Allen, 2007) in a sample of Asian American and European American college students (N = 365). Specifically, the mediating role of anger suppression in the effect of temperament and family processes on depressive symptoms was tested across race and levels of interdependent self-construal (a culturally based self orientation emphasizing connectedness with others). Next, the moderation of the suppression—depression relation was tested by race and interdependent self-construal. Results indicated that the hypothesized model fit well across Asian American and European American students as well as those with high vs. low levels of interdependent self-construal. Anger suppression was a significant mediator of the hypothesized indirect effects on depressive symptoms. Moreover, race and interdependent self-construal moderated the suppression—depression link, such that Asian American status and a stronger interdependent self-construal attenuated the relation between anger suppression and depressive symptoms. Understanding both universal and culture-specific aspects of emotion regulation in the development of depressive symptoms will be essential for sound theory, future research, and effective prevention and intervention efforts across diverse populations. PMID:21058815

  17. Extreme events in multilayer, interdependent complex networks and control

    PubMed Central

    Chen, Yu-Zhong; Huang, Zi-Gang; Zhang, Hai-Feng; Eisenberg, Daniel; Seager, Thomas P.; Lai, Ying-Cheng

    2015-01-01

    We investigate the emergence of extreme events in interdependent networks. We introduce an inter-layer traffic resource competing mechanism to account for the limited capacity associated with distinct network layers. A striking finding is that, when the number of network layers and/or the overlap among the layers are increased, extreme events can emerge in a cascading manner on a global scale. Asymptotically, there are two stable absorption states: a state free of extreme events and a state of full of extreme events, and the transition between them is abrupt. Our results indicate that internal interactions in the multiplex system can yield qualitatively distinct phenomena associated with extreme events that do not occur for independent network layers. An implication is that, e.g., public resource competitions among different service providers can lead to a higher resource requirement than naively expected. We derive an analytical theory to understand the emergence of global-scale extreme events based on the concept of effective betweenness. We also articulate a cost-effective control scheme through increasing the capacity of very few hubs to suppress the cascading process of extreme events so as to protect the entire multi-layer infrastructure against global-scale breakdown. PMID:26612009

  18. Extreme events in multilayer, interdependent complex networks and control

    NASA Astrophysics Data System (ADS)

    Chen, Yu-Zhong; Huang, Zi-Gang; Zhang, Hai-Feng; Eisenberg, Daniel; Seager, Thomas P.; Lai, Ying-Cheng

    2015-11-01

    We investigate the emergence of extreme events in interdependent networks. We introduce an inter-layer traffic resource competing mechanism to account for the limited capacity associated with distinct network layers. A striking finding is that, when the number of network layers and/or the overlap among the layers are increased, extreme events can emerge in a cascading manner on a global scale. Asymptotically, there are two stable absorption states: a state free of extreme events and a state of full of extreme events, and the transition between them is abrupt. Our results indicate that internal interactions in the multiplex system can yield qualitatively distinct phenomena associated with extreme events that do not occur for independent network layers. An implication is that, e.g., public resource competitions among different service providers can lead to a higher resource requirement than naively expected. We derive an analytical theory to understand the emergence of global-scale extreme events based on the concept of effective betweenness. We also articulate a cost-effective control scheme through increasing the capacity of very few hubs to suppress the cascading process of extreme events so as to protect the entire multi-layer infrastructure against global-scale breakdown.

  19. Community detection, link prediction, and layer interdependence in multilayer networks.

    PubMed

    De Bacco, Caterina; Power, Eleanor A; Larremore, Daniel B; Moore, Cristopher

    2017-04-01

    Complex systems are often characterized by distinct types of interactions between the same entities. These can be described as a multilayer network where each layer represents one type of interaction. These layers may be interdependent in complicated ways, revealing different kinds of structure in the network. In this work we present a generative model, and an efficient expectation-maximization algorithm, which allows us to perform inference tasks such as community detection and link prediction in this setting. Our model assumes overlapping communities that are common between the layers, while allowing these communities to affect each layer in a different way, including arbitrary mixtures of assortative, disassortative, or directed structure. It also gives us a mathematically principled way to define the interdependence between layers, by measuring how much information about one layer helps us predict links in another layer. In particular, this allows us to bundle layers together to compress redundant information and identify small groups of layers which suffice to predict the remaining layers accurately. We illustrate these findings by analyzing synthetic data and two real multilayer networks, one representing social support relationships among villagers in South India and the other representing shared genetic substring material between genes of the malaria parasite.

  20. Community detection, link prediction, and layer interdependence in multilayer networks

    NASA Astrophysics Data System (ADS)

    De Bacco, Caterina; Power, Eleanor A.; Larremore, Daniel B.; Moore, Cristopher

    2017-04-01

    Complex systems are often characterized by distinct types of interactions between the same entities. These can be described as a multilayer network where each layer represents one type of interaction. These layers may be interdependent in complicated ways, revealing different kinds of structure in the network. In this work we present a generative model, and an efficient expectation-maximization algorithm, which allows us to perform inference tasks such as community detection and link prediction in this setting. Our model assumes overlapping communities that are common between the layers, while allowing these communities to affect each layer in a different way, including arbitrary mixtures of assortative, disassortative, or directed structure. It also gives us a mathematically principled way to define the interdependence between layers, by measuring how much information about one layer helps us predict links in another layer. In particular, this allows us to bundle layers together to compress redundant information and identify small groups of layers which suffice to predict the remaining layers accurately. We illustrate these findings by analyzing synthetic data and two real multilayer networks, one representing social support relationships among villagers in South India and the other representing shared genetic substring material between genes of the malaria parasite.

  1. The Fragility of Interdependency: Coupled Networks Switching Phenomena

    NASA Astrophysics Data System (ADS)

    Stanley, H. Eugene

    2013-03-01

    Recent disasters ranging from abrupt financial ``flash crashes'' and large-scale power outages to sudden death among the elderly dramatically exemplify the fact that the most dangerous vulnerability is hiding in the many interdependencies among different networks. In the past year, we have quantified failures in model of interconnected networks, and demonstrated the need to consider mutually dependent network properties in designing resilient systems. Specifically, we have uncovered new laws governing the nature of switching phenomena in coupled networks, and found that phenomena that are continuous ``second order'' phase transitions in isolated networks become discontinuous abrupt ``first order'' transitions in interdependent networks [S. V. Buldyrev, R. Parshani, G. Paul, H. E. Stanley, and S. Havlin, ``Catastrophic Cascade of Failures in Interdependent Networks,'' Nature 464, 1025 (2010); J. Gao, S. V. Buldyrev, H. E. Stanley, and S. Havlin, ``Novel Behavior of Networks Formed from Interdependent Networks,'' Nature Physics 8, 40 (2012). We conclude by discussing the network basis for understanding sudden death in the elderly, and the possibility that financial ``flash crashes'' are not unlike the catastrophic first-order failure incidents occurring in coupled networks. Specifically, we study the coupled networks that are responsible for financial fluctuations. It appears that ``trend switching phenomena'' that we uncover are remarkably independent of the scale over which they are analyzed. For example, we find that the same laws governing the formation and bursting of the largest financial bubbles also govern the tiniest finance bubbles, over a factor of 1,000,000,000 in time scale [T. Preis, J. Schneider, and H. E. Stanley, ``Switching Processes in Financial Markets,'' Proc. Natl. Acad. Sci. USA 108, 7674 (2011); T. Preis and H. E. Stanley, ``Bubble Trouble: Can a Law Describe Bubbles and Crashes in Financial Markets?'' Physics World 24, No. 5, 29 (May 2011

  2. Hydro-meteorological extreme events caused by climate variability or change and their impacts on infrastructures

    NASA Astrophysics Data System (ADS)

    Ganguly, A. R.

    2008-05-01

    Critical infrastructures and key assets, especially along coastal areas, are vulnerable to sea level rise caused by climate change, and perhaps more importantly, to extremes of precipitation, wind and storm surges, which in turn are likely to be exacerbated by climate change and consequent rise in sea levels. The 2007 IPCC report states that extreme hydro-meteorological events, ranging from heat waves and cold spells to extreme rainfall events or ice storms, are likely to increase in intensity, duration and frequency over the next several decades. While the uncertainties in our current understanding of climate impacts on certain weather extremes like hurricanes may be high, the net damage in the future is expected to increase anyway owing to enhanced stresses caused by population growth and land use changes. The first step is to quantify the expected exacerbation in the intensity- duration-frequency (IDF) of extreme weather and hydrologic events in light of climate change and assess the uncertainties thereof. Climate model projections need to be developed or downscaled at regional to local scales relevant to the scales of such hazards and their impacts on infrastructures and their interdependencies. The second step is to quantify the expected impact on infrastructures caused by the exacerbated hazards. Thus, infrastructures designed to outlast specific return levels of precipitation or wind may be under additional stress if climate change causes the return levels to intensify. The third step is to develop precise and dynamic geospatial risk indices. The risk computations need to consider the IDF of weather or hydrologic hazards, aggregate measures of infrastructure resilience and vulnerability, the consequences of infrastructure damage on population, economy and environment, and the capabilities and measures that can be brought to bear to mitigate the risks. One additional requirement is to investigate specific infrastructures in more depth and quantify the

  3. Engineering Infrastructures: Problems of Safety and Security in the Russian Federation

    NASA Astrophysics Data System (ADS)

    Makhutov, Nikolay A.; Reznikov, Dmitry O.; Petrov, Vitaly P.

    Modern society cannot exist without stable and reliable engineering infrastructures (EI), whose operation is vital for any national economy. These infrastructures include energy, transportation, water and gas supply systems, telecommunication and cyber systems, etc. Th