Sample records for actor based framework
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Díaz, Sandra; Cáceres, Daniel M.; Trainor, Sarah F.; Pérez-Harguindeguy, Natalia; Bret-Harte, M. Syndonia; Finegan, Bryan; Peña-Claros, Marielos; Poorter, Lourens
2011-01-01
The crucial role of biodiversity in the links between ecosystems and societies has been repeatedly highlighted both as source of wellbeing and as a target of human actions, but not all aspects of biodiversity are equally important to different ecosystem services. Similarly, different social actors have different perceptions of and access to ecosystem services, and therefore, they have different wants and capacities to select directly or indirectly for particular biodiversity and ecosystem characteristics. Their choices feed back onto the ecosystem services provided to all parties involved and in turn, affect future decisions. Despite this recognition, the research communities addressing biodiversity, ecosystem services, and human outcomes have yet to develop frameworks that adequately treat the multiple dimensions and interactions in the relationship. Here, we present an interdisciplinary framework for the analysis of relationships between functional diversity, ecosystem services, and human actions that is applicable to specific social environmental systems at local scales. We connect the mechanistic understanding of the ecological role of diversity with its social relevance: ecosystem services. The framework permits connections between functional diversity components and priorities of social actors using land use decisions and ecosystem services as the main links between these ecological and social components. We propose a matrix-based method that provides a transparent and flexible platform for quantifying and integrating social and ecological information and negotiating potentially conflicting land uses among multiple social actors. We illustrate the applicability of our framework by way of land use examples from temperate to subtropical South America, an area of rapid social and ecological change. PMID:21220325
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Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons
Frémaux, Nicolas; Sprekeler, Henning; Gerstner, Wulfram
2013-01-01
Animals repeat rewarded behaviors, but the physiological basis of reward-based learning has only been partially elucidated. On one hand, experimental evidence shows that the neuromodulator dopamine carries information about rewards and affects synaptic plasticity. On the other hand, the theory of reinforcement learning provides a framework for reward-based learning. Recent models of reward-modulated spike-timing-dependent plasticity have made first steps towards bridging the gap between the two approaches, but faced two problems. First, reinforcement learning is typically formulated in a discrete framework, ill-adapted to the description of natural situations. Second, biologically plausible models of reward-modulated spike-timing-dependent plasticity require precise calculation of the reward prediction error, yet it remains to be shown how this can be computed by neurons. Here we propose a solution to these problems by extending the continuous temporal difference (TD) learning of Doya (2000) to the case of spiking neurons in an actor-critic network operating in continuous time, and with continuous state and action representations. In our model, the critic learns to predict expected future rewards in real time. Its activity, together with actual rewards, conditions the delivery of a neuromodulatory TD signal to itself and to the actor, which is responsible for action choice. In simulations, we show that such an architecture can solve a Morris water-maze-like navigation task, in a number of trials consistent with reported animal performance. We also use our model to solve the acrobot and the cartpole problems, two complex motor control tasks. Our model provides a plausible way of computing reward prediction error in the brain. Moreover, the analytically derived learning rule is consistent with experimental evidence for dopamine-modulated spike-timing-dependent plasticity. PMID:23592970
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Reinforcement learning using a continuous time actor-critic framework with spiking neurons.
Frémaux, Nicolas; Sprekeler, Henning; Gerstner, Wulfram
2013-04-01
Animals repeat rewarded behaviors, but the physiological basis of reward-based learning has only been partially elucidated. On one hand, experimental evidence shows that the neuromodulator dopamine carries information about rewards and affects synaptic plasticity. On the other hand, the theory of reinforcement learning provides a framework for reward-based learning. Recent models of reward-modulated spike-timing-dependent plasticity have made first steps towards bridging the gap between the two approaches, but faced two problems. First, reinforcement learning is typically formulated in a discrete framework, ill-adapted to the description of natural situations. Second, biologically plausible models of reward-modulated spike-timing-dependent plasticity require precise calculation of the reward prediction error, yet it remains to be shown how this can be computed by neurons. Here we propose a solution to these problems by extending the continuous temporal difference (TD) learning of Doya (2000) to the case of spiking neurons in an actor-critic network operating in continuous time, and with continuous state and action representations. In our model, the critic learns to predict expected future rewards in real time. Its activity, together with actual rewards, conditions the delivery of a neuromodulatory TD signal to itself and to the actor, which is responsible for action choice. In simulations, we show that such an architecture can solve a Morris water-maze-like navigation task, in a number of trials consistent with reported animal performance. We also use our model to solve the acrobot and the cartpole problems, two complex motor control tasks. Our model provides a plausible way of computing reward prediction error in the brain. Moreover, the analytically derived learning rule is consistent with experimental evidence for dopamine-modulated spike-timing-dependent plasticity.
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Bogren, Malin Upper; Berg, Marie; Edgren, Lars; van Teijlingen, Edwin; Wigert, Helena
2016-12-01
To explore how actors connect in a system aiming at promoting the establishment of a midwifery profession in Nepal. A qualitative explorative study based on the framework of Complex Adaptive Systems. Semi-structured interviews were conducted with 17 key people representing eight different organisations (actors) promoting the development of the midwifery profession. The actors' connections can be described with a complex set of facilitators for and barriers to promoting the establishment of a midwifery profession. The identified facilitators for this establishment in Nepal are (1) a common goal and (2) a desire to collaborate, whilst the barriers are (1) different political interests and priorities, (2) competing interests of the nursing profession and societal views, (3) divergent academic opinions on a midwifery profession, and (4) insufficient communication. The results also showed that Nepalese society cannot distinguish between nursing and midwifery and that the public support for a midwifery profession was hence minimal. The move of midwifery from an occupation to a profession in Nepal is an on-going, challenging process. The study indicates the importance of understanding the motivations of, and barriers perceived by, actors that can promote or obstruct the establishment of the midwifery profession. It also points to the importance of informing the wider public about the role and responsibility of an autonomous midwifery profession. Copyright © 2016 Elsevier B.V. All rights reserved.
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Mohammed, Abrar Juhar; Inoue, Makoto
2014-06-15
This paper posits a Modified Actor-Power-Accountability Framework (MAPAF) that makes three major improvements on the Actor-Power-Accountability Framework (APAF) developed by Agrawal and Ribot (1999). These improvements emphasize the nature of decentralized property rights, linking the outputs of decentralization with its outcomes and the inclusion of contextual factors. Applying MAPAF to analyze outputs and outcomes from two major decentralized forest policies in Ethiopia, i.e., delegation and devolution, has demonstrated the following strengths of the framework. First, by incorporating vital bundles of property rights into APAF, MAPAF creates a common ground for exploring and comparing the extent of democratization achieved by different decentralizing reforms. Second, the inclusion of social and environmental outcomes in MAPAF makes it possible to link the output of decentralization with local level outcomes. Finally, the addition of contextual factors enhances MAPAF's explanatory power by providing room for investigating exogenous factors other than democratization that contribute to the outcomes of decentralization reforms. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Xu, Zhezhuang; Liu, Guanglun; Yan, Haotian; Cheng, Bin; Lin, Feilong
2017-10-27
In wireless sensor and actor networks, when an event is detected, the sensor node needs to transmit an event report to inform the actor. Since the actor moves in the network to execute missions, its location is always unavailable to the sensor nodes. A popular solution is the search strategy that can forward the data to a node without its location information. However, most existing works have not considered the mobility of the node, and thus generate significant energy consumption or transmission delay. In this paper, we propose the trail-based search (TS) strategy that takes advantage of actor's mobility to improve the search efficiency. The main idea of TS is that, when the actor moves in the network, it can leave its trail composed of continuous footprints. The search packet with the event report is transmitted in the network to search the actor or its footprints. Once an effective footprint is discovered, the packet will be forwarded along the trail until it is received by the actor. Moreover, we derive the condition to guarantee the trail connectivity, and propose the redundancy reduction scheme based on TS (TS-R) to reduce nontrivial transmission redundancy that is generated by the trail. The theoretical and numerical analysis is provided to prove the efficiency of TS. Compared with the well-known expanding ring search (ERS), TS significantly reduces the energy consumption and search delay.
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Representing Micro-Macro Linkages by Actor-Based Dynamic Network Models
Snijders, Tom A.B.; Steglich, Christian E.G.
2014-01-01
Stochastic actor-based models for network dynamics have the primary aim of statistical inference about processes of network change, but may be regarded as a kind of agent-based models. Similar to many other agent-based models, they are based on local rules for actor behavior. Different from many other agent-based models, by including elements of generalized linear statistical models they aim to be realistic detailed representations of network dynamics in empirical data sets. Statistical parallels to micro-macro considerations can be found in the estimation of parameters determining local actor behavior from empirical data, and the assessment of goodness of fit from the correspondence with network-level descriptives. This article studies several network-level consequences of dynamic actor-based models applied to represent cross-sectional network data. Two examples illustrate how network-level characteristics can be obtained as emergent features implied by micro-specifications of actor-based models. PMID:25960578
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ERIC Educational Resources Information Center
Veiga, Amélia; Neave, Guy
2015-01-01
How do the constituencies in higher education re-interpret Bologna's function with regard to the European Higher Education Area? This research examines how institutional actors re-construct the policy framework in the light of their own institutional agendas. Drawing on empirical data from a survey of academics, students and administrative and…
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Reinforcement learning for a biped robot based on a CPG-actor-critic method.
Nakamura, Yutaka; Mori, Takeshi; Sato, Masa-aki; Ishii, Shin
2007-08-01
Animals' rhythmic movements, such as locomotion, are considered to be controlled by neural circuits called central pattern generators (CPGs), which generate oscillatory signals. Motivated by this biological mechanism, studies have been conducted on the rhythmic movements controlled by CPG. As an autonomous learning framework for a CPG controller, we propose in this article a reinforcement learning method we call the "CPG-actor-critic" method. This method introduces a new architecture to the actor, and its training is roughly based on a stochastic policy gradient algorithm presented recently. We apply this method to an automatic acquisition problem of control for a biped robot. Computer simulations show that training of the CPG can be successfully performed by our method, thus allowing the biped robot to not only walk stably but also adapt to environmental changes.
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Representing Micro-Macro Linkages by Actor-Based Dynamic Network Models
ERIC Educational Resources Information Center
Snijders, Tom A. B.; Steglich, Christian E. G.
2015-01-01
Stochastic actor-based models for network dynamics have the primary aim of statistical inference about processes of network change, but may be regarded as a kind of agent-based models. Similar to many other agent-based models, they are based on local rules for actor behavior. Different from many other agent-based models, by including elements of…
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Rached, Danielle Hanna; Ventura, Deisy de Freitas Lima
2017-07-03
The article probes the origins and content of the Framework of Engagement with Non-State Actors (FENSA) of the World Health Organization (WHO), approved on May 28, 2016, at the 69th World Health Assembly, which established different rules of collaboration to four categories of actors: nongovernmental organizations (NGOs), private sector entities, philanthropic foundations, and academic institutions. Applying the findings of International Legal Theory and based on extensive documentary research, we sought to determine whether FENSA is an appropriate accountability mechanism according to four functions of accountability: constitutional, democratic, epistemic, and populist. The article concludes that there is a risk of the prevalence of the populist function at the expense of the accountability potential that could result from the better use of the other three accountability functions.
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Compositional schedulability analysis of real-time actor-based systems.
Jaghoori, Mohammad Mahdi; de Boer, Frank; Longuet, Delphine; Chothia, Tom; Sirjani, Marjan
2017-01-01
We present an extension of the actor model with real-time, including deadlines associated with messages, and explicit application-level scheduling policies, e.g.,"earliest deadline first" which can be associated with individual actors. Schedulability analysis in this setting amounts to checking whether, given a scheduling policy for each actor, every task is processed within its designated deadline. To check schedulability, we introduce a compositional automata-theoretic approach, based on maximal use of model checking combined with testing. Behavioral interfaces define what an actor expects from the environment, and the deadlines for messages given these assumptions. We use model checking to verify that actors match their behavioral interfaces. We extend timed automata refinement with the notion of deadlines and use it to define compatibility of actor environments with the behavioral interfaces. Model checking of compatibility is computationally hard, so we propose a special testing process. We show that the analyses are decidable and automate the process using the Uppaal model checker.
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Xu, Zhezhuang; Liu, Guanglun; Yan, Haotian; Cheng, Bin; Lin, Feilong
2017-01-01
In wireless sensor and actor networks, when an event is detected, the sensor node needs to transmit an event report to inform the actor. Since the actor moves in the network to execute missions, its location is always unavailable to the sensor nodes. A popular solution is the search strategy that can forward the data to a node without its location information. However, most existing works have not considered the mobility of the node, and thus generate significant energy consumption or transmission delay. In this paper, we propose the trail-based search (TS) strategy that takes advantage of actor’s mobility to improve the search efficiency. The main idea of TS is that, when the actor moves in the network, it can leave its trail composed of continuous footprints. The search packet with the event report is transmitted in the network to search the actor or its footprints. Once an effective footprint is discovered, the packet will be forwarded along the trail until it is received by the actor. Moreover, we derive the condition to guarantee the trail connectivity, and propose the redundancy reduction scheme based on TS (TS-R) to reduce nontrivial transmission redundancy that is generated by the trail. The theoretical and numerical analysis is provided to prove the efficiency of TS. Compared with the well-known expanding ring search (ERS), TS significantly reduces the energy consumption and search delay. PMID:29077017
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A UML-based meta-framework for system design in public health informatics.
Orlova, Anna O; Lehmann, Harold
2002-01-01
The National Agenda for Public Health Informatics calls for standards in data and knowledge representation within public health, which requires a multi-level framework that links all aspects of public health. The literature of public health informatics and public health informatics application were reviewed. A UML-based systems analysis was performed. Face validity of results was evaluated in analyzing the public health domain of lead poisoning. The core class of the UML-based system of public health is the Public Health Domain, which is associated with multiple Problems, for which Actors provide Perspectives. Actors take Actions that define, generate, utilize and/or evaluate Data Sources. The life cycle of the domain is a sequence of activities attributed to its problems that spirals through multiple iterations and realizations within a domain. The proposed Public Health Informatics Meta-Framework broadens efforts in applying informatics principles to the field of public health
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Application of the actor model to large scale NDE data analysis
NASA Astrophysics Data System (ADS)
Coughlin, Chris
2018-03-01
The Actor model of concurrent computation discretizes a problem into a series of independent units or actors that interact only through the exchange of messages. Without direct coupling between individual components, an Actor-based system is inherently concurrent and fault-tolerant. These traits lend themselves to so-called "Big Data" applications in which the volume of data to analyze requires a distributed multi-system design. For a practical demonstration of the Actor computational model, a system was developed to assist with the automated analysis of Nondestructive Evaluation (NDE) datasets using the open source Myriad Data Reduction Framework. A machine learning model trained to detect damage in two-dimensional slices of C-Scan data was deployed in a streaming data processing pipeline. To demonstrate the flexibility of the Actor model, the pipeline was deployed on a local system and re-deployed as a distributed system without recompiling, reconfiguring, or restarting the running application.
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Network congestion control algorithm based on Actor-Critic reinforcement learning model
NASA Astrophysics Data System (ADS)
Xu, Tao; Gong, Lina; Zhang, Wei; Li, Xuhong; Wang, Xia; Pan, Wenwen
2018-04-01
Aiming at the network congestion control problem, a congestion control algorithm based on Actor-Critic reinforcement learning model is designed. Through the genetic algorithm in the congestion control strategy, the network congestion problems can be better found and prevented. According to Actor-Critic reinforcement learning, the simulation experiment of network congestion control algorithm is designed. The simulation experiments verify that the AQM controller can predict the dynamic characteristics of the network system. Moreover, the learning strategy is adopted to optimize the network performance, and the dropping probability of packets is adaptively adjusted so as to improve the network performance and avoid congestion. Based on the above finding, it is concluded that the network congestion control algorithm based on Actor-Critic reinforcement learning model can effectively avoid the occurrence of TCP network congestion.
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Actor groups, related needs, and challenges at the climate downscaling interface
NASA Astrophysics Data System (ADS)
Rössler, Ole; Benestad, Rasmus; Diamando, Vlachogannis; Heike, Hübener; Kanamaru, Hideki; Pagé, Christian; Margarida Cardoso, Rita; Soares, Pedro; Maraun, Douglas; Kreienkamp, Frank; Christodoulides, Paul; Fischer, Andreas; Szabo, Peter
2016-04-01
At the climate downscaling interface, numerous downscaling techniques and different philosophies compete on being the best method in their specific terms. Thereby, it remains unclear to what extent and for which purpose these downscaling techniques are valid or even the most appropriate choice. A common validation framework that compares all the different available methods was missing so far. The initiative VALUE closes this gap with such a common validation framework. An essential part of a validation framework for downscaling techniques is the definition of appropriate validation measures. The selection of validation measures should consider the needs of the stakeholder: some might need a temporal or spatial average of a certain variable, others might need temporal or spatial distributions of some variables, still others might need extremes for the variables of interest or even inter-variable dependencies. Hence, a close interaction of climate data providers and climate data users is necessary. Thus, the challenge in formulating a common validation framework mirrors also the challenges between the climate data providers and the impact assessment community. This poster elaborates the issues and challenges at the downscaling interface as it is seen within the VALUE community. It suggests three different actor groups: one group consisting of the climate data providers, the other two groups being climate data users (impact modellers and societal users). Hence, the downscaling interface faces classical transdisciplinary challenges. We depict a graphical illustration of actors involved and their interactions. In addition, we identified four different types of issues that need to be considered: i.e. data based, knowledge based, communication based, and structural issues. They all may, individually or jointly, hinder an optimal exchange of data and information between the actor groups at the downscaling interface. Finally, some possible ways to tackle these issues are
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Efficient Actor Recovery Paradigm for Wireless Sensor and Actor Networks
Mahjoub, Reem K.; Elleithy, Khaled
2017-01-01
The actor nodes are the spine of wireless sensor and actor networks (WSANs) that collaborate to perform a specific task in an unverified and uneven environment. Thus, there is a possibility of high failure rate in such unfriendly scenarios due to several factors such as power consumption of devices, electronic circuit failure, software errors in nodes or physical impairment of the actor nodes and inter-actor connectivity problem. Therefore, it is extremely important to discover the failure of a cut-vertex actor and network-disjoint in order to improve the Quality-of-Service (QoS). In this paper, we propose an Efficient Actor Recovery (EAR) paradigm to guarantee the contention-free traffic-forwarding capacity. The EAR paradigm consists of a Node Monitoring and Critical Node Detection (NMCND) algorithm that monitors the activities of the nodes to determine the critical node. In addition, it replaces the critical node with backup node prior to complete node-failure which helps balancing the network performance. The packets are handled using Network Integration and Message Forwarding (NIMF) algorithm that determines the source of forwarding the packets; either from actor or sensor. This decision-making capability of the algorithm controls the packet forwarding rate to maintain the network for a longer time. Furthermore, for handling the proper routing strategy, Priority-Based Routing for Node Failure Avoidance (PRNFA) algorithm is deployed to decide the priority of the packets to be forwarded based on the significance of information available in the packet. To validate the effectiveness of the proposed EAR paradigm, the proposed algorithms were tested using OMNET++ simulation. PMID:28420102
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Efficient Actor Recovery Paradigm for Wireless Sensor and Actor Networks.
Mahjoub, Reem K; Elleithy, Khaled
2017-04-14
The actor nodes are the spine of wireless sensor and actor networks (WSANs) that collaborate to perform a specific task in an unverified and uneven environment. Thus, there is a possibility of high failure rate in such unfriendly scenarios due to several factors such as power consumption of devices, electronic circuit failure, software errors in nodes or physical impairment of the actor nodes and inter-actor connectivity problem. Therefore, it is extremely important to discover the failure of a cut-vertex actor and network-disjoint in order to improve the Quality-of-Service (QoS). In this paper, we propose an Efficient Actor Recovery (EAR) paradigm to guarantee the contention-free traffic-forwarding capacity. The EAR paradigm consists of a Node Monitoring and Critical Node Detection (NMCND) algorithm that monitors the activities of the nodes to determine the critical node. In addition, it replaces the critical node with backup node prior to complete node-failure which helps balancing the network performance. The packets are handled using Network Integration and Message Forwarding (NIMF) algorithm that determines the source of forwarding the packets; either from actor or sensor. This decision-making capability of the algorithm controls the packet forwarding rate to maintain the network for a longer time. Furthermore, for handling the proper routing strategy, Priority-Based Routing for Node Failure Avoidance (PRNFA) algorithm is deployed to decide the priority of the packets to be forwarded based on the significance of information available in the packet. To validate the effectiveness of the proposed EAR paradigm, the proposed algorithms were tested using OMNET++ simulation.
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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…
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Performance Analysis of an Actor-Based Distributed Simulation
NASA Technical Reports Server (NTRS)
Schoeffler, James D.
1998-01-01
Object-oriented design of simulation programs appears to be very attractive because of the natural association of components in the simulated system with objects. There is great potential in distributing the simulation across several computers for the purpose of parallel computation and its consequent handling of larger problems in less elapsed time. One approach to such a design is to use "actors", that is, active objects with their own thread of control. Because these objects execute concurrently, communication is via messages. This is in contrast to an object-oriented design using passive objects where communication between objects is via method calls (direct calls when they are in the same address space and remote procedure calls when they are in different address spaces or different machines). This paper describes a performance analysis program for the evaluation of a design for distributed simulations based upon actors.
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A Framework for Violence: Clarifying the Role of Motivation in Lone-Actor Terrorism
2017-03-01
Within the timeframe included in this study , there was, on average, just over one case of lone-actor terrorism per year.60 Spaaij expanded his...informants and sting operations.63 Within the Becker study , twelve out of eighty-four attacks, relied on confidential informants.64 In certain cases , the...indicators of personal or ideological grievances. The data used for this research are publicly available and largely based on two case studies compiled
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Arthur Bleeker, PNNL
2015-03-11
SVF is a full featured OpenGL 3d framework that allows for rapid creation of complex visualizations. The SVF framework handles much of the lifecycle and complex tasks required for a 3d visualization. Unlike a game framework SVF was designed to use fewer resources, work well in a windowed environment, and only render when necessary. The scene also takes advantage of multiple threads to free up the UI thread as much as possible. Shapes (actors) in the scene are created by adding or removing functionality (through support objects) during runtime. This allows a highly flexible and dynamic means of creating highlymore » complex actors without the code complexity (it also helps overcome the lack of multiple inheritance in Java.) All classes are highly customizable and there are abstract classes which are intended to be subclassed to allow a developer to create more complex and highly performant actors. There are multiple demos included in the framework to help the developer get started and shows off nearly all of the functionality. Some simple shapes (actors) are already created for you such as text, bordered text, radial text, text area, complex paths, NURBS paths, cube, disk, grid, plane, geometric shapes, and volumetric area. It also comes with various camera types for viewing that can be dragged, zoomed, and rotated. Picking or selecting items in the scene can be accomplished in various ways depending on your needs (raycasting or color picking.) The framework currently has functionality for tooltips, animation, actor pools, color gradients, 2d physics, text, 1d/2d/3d textures, children, blending, clipping planes, view frustum culling, custom shaders, and custom actor states« less
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Hankivsky, Olena; Grace, Daniel; Hunting, Gemma; Giesbrecht, Melissa; Fridkin, Alycia; Rudrum, Sarah; Ferlatte, Olivier; Clark, Natalie
2014-12-10
In the field of health, numerous frameworks have emerged that advance understandings of the differential impacts of health policies to produce inclusive and socially just health outcomes. In this paper, we present the development of an important contribution to these efforts - an Intersectionality-Based Policy Analysis (IBPA) Framework. Developed over the course of two years in consultation with key stakeholders and drawing on best and promising practices of other equity-informed approaches, this participatory and iterative IBPA Framework provides guidance and direction for researchers, civil society, public health professionals and policy actors seeking to address the challenges of health inequities across diverse populations. Importantly, we present the application of the IBPA Framework in seven priority health-related policy case studies. The analysis of each case study is focused on explaining how IBPA: 1) provides an innovative structure for critical policy analysis; 2) captures the different dimensions of policy contexts including history, politics, everyday lived experiences, diverse knowledges and intersecting social locations; and 3) generates transformative insights, knowledge, policy solutions and actions that cannot be gleaned from other equity-focused policy frameworks. The aim of this paper is to inspire a range of policy actors to recognize the potential of IBPA to foreground the complex contexts of health and social problems, and ultimately to transform how policy analysis is undertaken.
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Matching safety to access: global actors and pharmacogovernance in Kenya- a case study.
Moscou, Kathy; Kohler, Jillian C
2017-03-23
The Kenyan government has sought to address inadequacies in its National Pharmaceutical Policy and the Pharmacy and Poisons Board's (PPB) medicines governance by engaging with global actors (e.g. the World Health Organization). Policy actors have influenced the way pharmacovigilance is defined, how challenges are understood and which norms are requisite to address drug safety issues. In this paper, we investigate the relationship between specific modes of engagement among global (exogenous) and domestic actors at the national and sub-national level to identify the positive or negative effect on pharmacovigilance and pharmacogovernance in Kenya. Pharmacogovernance is defined as the manner in which governing structures; policy instruments; institutional authority (e.g., ability to act, implement and enforce norms, policies and processes) and resources are managed to promote societal interests for patient safety and protection from adverse drug reactions (ADRs). Qualitative research methods that included key informant interviews and document analysis, were employed to investigate the relationship between global actors' patterns of engagement with national actors and pharmacogovernance in Kenya. Global actors' influence on pharmacogovernance and pharmacovigilance priorities in Kenya (e.g., legislation and adverse drug reaction surveillance) was positively perceived by key informants. We found that global actors' engagement with state actors produced positive and negative outcomes. Engagement with the PPB and Ministry of Health (MOH) that was characterized as dependent (advocacy, empowerment, delegated) or interdependent (collaborative, cooperative, consultative) was mostly associated with positive outcomes e.g., capacity building; strengthening legislation and stakeholder coordination. Fragmentation (independent engagement) hindered risk communication between public, private, and NGO health programs. A framework for assessing pharmacogovernance would support policy
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NASA Astrophysics Data System (ADS)
Ghavami, Seyed Morsal; Taleai, Mohammad
2017-04-01
Most spatial problems are multi-actor, multi-issue and multi-phase in nature. In addition to their intrinsic complexity, spatial problems usually involve groups of actors from different organizational and cognitive backgrounds, all of whom participate in a social structure to resolve or reduce the complexity of a given problem. Hence, it is important to study and evaluate what different aspects influence the spatial problem resolution process. Recently, multi-agent systems consisting of groups of separate agent entities all interacting with each other have been put forward as appropriate tools to use to study and resolve such problems. In this study, then in order to generate a better level of understanding regarding the spatial problem group decision-making process, a conceptual multi-agent-based framework is used that represents and specifies all the necessary concepts and entities needed to aid group decision making, based on a simulation of the group decision-making process as well as the relationships that exist among the different concepts involved. The study uses five main influencing entities as concepts in the simulation process: spatial influence, individual-level influence, group-level influence, negotiation influence and group performance measures. Further, it explains the relationship among different concepts in a descriptive rather than explanatory manner. To illustrate the proposed framework, the approval process for an urban land use master plan in Zanjan—a provincial capital in Iran—is simulated using MAS, the results highlighting the effectiveness of applying an MAS-based framework when wishing to study the group decision-making process used to resolve spatial problems.
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Finding The Limit: The Strategic Potential Of The Network Based Actor
2016-12-01
6 E. CASE STUDY SELECTION AND PROCESS .......................................6 1. Selection of Baseline Case Studies: Pierre-Charles...Pathé and the Trust ..................................................................................7 2. Selection of Test Case Studies...academic debate, which argues that non-state, network-based actors can have a strategic planning capacity. E. CASE STUDY SELECTION AND PROCESS This
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Drug scheduling of cancer chemotherapy based on natural actor-critic approach.
Ahn, Inkyung; Park, Jooyoung
2011-11-01
Recently, reinforcement learning methods have drawn significant interests in the area of artificial intelligence, and have been successfully applied to various decision-making problems. In this paper, we study the applicability of the NAC (natural actor-critic) approach, a state-of-the-art reinforcement learning method, to the drug scheduling of cancer chemotherapy for an ODE (ordinary differential equation)-based tumor growth model. ODE-based cancer dynamics modeling is an active research area, and many different mathematical models have been proposed. Among these, we use the model proposed by de Pillis and Radunskaya (2003), which considers the growth of tumor cells and their interaction with normal cells and immune cells. The NAC approach is applied to this ODE model with the goal of minimizing the tumor cell population and the drug amount while maintaining the adequate population levels of normal cells and immune cells. In the framework of the NAC approach, the drug dose is regarded as the control input, and the reward signal is defined as a function of the control input and the cell populations of tumor cells, normal cells, and immune cells. According to the control policy found by the NAC approach, effective drug scheduling in cancer chemotherapy for the considered scenarios has turned out to be close to the strategy of continuing drug injection from the beginning until an appropriate time. Also, simulation results showed that the NAC approach can yield better performance than conventional pulsed chemotherapy. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
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Hou, Kun-Mean; Zhang, Zhan
2017-01-01
Cyber Physical Systems (CPSs) need to interact with the changeable environment under various interferences. To provide continuous and high quality services, a self-managed CPS should automatically reconstruct itself to adapt to these changes and recover from failures. Such dynamic adaptation behavior introduces systemic challenges for CPS design, advice evaluation and decision process arrangement. In this paper, a formal compositional framework is proposed to systematically improve the dependability of the decision process. To guarantee the consistent observation of event orders for causal reasoning, this work first proposes a relative time-based method to improve the composability and compositionality of the timing property of events. Based on the relative time solution, a formal reference framework is introduced for self-managed CPSs, which includes a compositional FSM-based actor model (subsystems of CPS), actor-based advice and runtime decomposable decisions. To simplify self-management, a self-similar recursive actor interface is proposed for decision (actor) composition. We provide constraints and seven patterns for the composition of reliability and process time requirements. Further, two decentralized decision process strategies are proposed based on our framework, and we compare the reliability with the static strategy and the centralized processing strategy. The simulation results show that the one-order feedback strategy has high reliability, scalability and stability against the complexity of decision and random failure. This paper also shows a way to simplify the evaluation for dynamic system by improving the composability and compositionality of the subsystem. PMID:29120357
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Zhou, Peng; Zuo, Decheng; Hou, Kun-Mean; Zhang, Zhan
2017-11-09
Cyber Physical Systems (CPSs) need to interact with the changeable environment under various interferences. To provide continuous and high quality services, a self-managed CPS should automatically reconstruct itself to adapt to these changes and recover from failures. Such dynamic adaptation behavior introduces systemic challenges for CPS design, advice evaluation and decision process arrangement. In this paper, a formal compositional framework is proposed to systematically improve the dependability of the decision process. To guarantee the consistent observation of event orders for causal reasoning, this work first proposes a relative time-based method to improve the composability and compositionality of the timing property of events. Based on the relative time solution, a formal reference framework is introduced for self-managed CPSs, which includes a compositional FSM-based actor model (subsystems of CPS), actor-based advice and runtime decomposable decisions. To simplify self-management, a self-similar recursive actor interface is proposed for decision (actor) composition. We provide constraints and seven patterns for the composition of reliability and process time requirements. Further, two decentralized decision process strategies are proposed based on our framework, and we compare the reliability with the static strategy and the centralized processing strategy. The simulation results show that the one-order feedback strategy has high reliability, scalability and stability against the complexity of decision and random failure. This paper also shows a way to simplify the evaluation for dynamic system by improving the composability and compositionality of the subsystem.
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Frimer, Jeremy A; Schaefer, Nicola K; Oakes, Harrison
2014-05-01
People are motivated to behave selfishly while appearing moral. This tension gives rise to 2 divergently motivated selves. The actor-the watched self-tends to be moral; the agent-the self as executor-tends to be selfish. Three studies present direct evidence of the actor's and agent's distinct motives. To recruit the self-as-actor, we asked people to rate the importance of various goals. To recruit the self-as-agent, we asked people to describe their goals verbally. In Study 1, actors claimed their goals were equally about helping the self and others (viz., moral); agents claimed their goals were primarily about helping the self (viz., selfish). This disparity was evident in both individualist and collectivist cultures, attesting to the universality of the selfish agent. Study 2 compared actors' and agents' motives to those of people role-playing highly prosocial or selfish exemplars. In content (Study 2a) and in the impressions they made on an outside observer (Study 2b), actors' motives were similar to those of the prosocial role-players, whereas agents' motives were similar to those of the selfish role-players. Study 3 accounted for the difference between the actor and agent: Participants claimed that their agent's motives were the more realistic and that their actor's motives were the more idealistic. The selfish agent/moral actor duality may account for why implicit and explicit measures of the same construct diverge, and why feeling watched brings out the better angels of human nature.
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Identifying Key Actors in Heterogeneous Networks
2017-11-29
analysis (SNA) and game theory (GT) to improve accuracy for detecting significant or “powerful” actors within a total actor space when both resource...coalesce in order to achieve a desired outcome. Cooperative game theory (CGT) models of coalition formation are based on two limiting assumptions: that...demonstration of a new approach for synthesizing social network analysis and game theory. The ultimate goal of this research agenda is to generalize
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Using attractiveness model for actors ranking in social media networks.
Qasem, Ziyaad; Jansen, Marc; Hecking, Tobias; Hoppe, H Ulrich
2017-01-01
Influential actors detection in social media such as Twitter or Facebook can play a major role in gathering opinions on particular topics, improving the marketing efficiency, predicting the trends, etc. This work aims to extend our formally defined T measure to present a new measure aiming to recognize the actor's influence by the strength of attracting new important actors into a networked community. Therefore, we propose a model of the actor's influence based on the attractiveness of the actor in relation to the number of other attractors with whom he/she has established connections over time. Using an empirically collected social network for the underlying graph, we have applied the above-mentioned measure of influence in order to determine optimal seeds in a simulation of influence maximization. We study our extended measure in the context of information diffusion because this measure is based on a model of actors who attract others to be active members in a community. This corresponds to the idea of the IC simulation model which is used to identify the most important spreaders in a set of actors.
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Simultaneous vibration control and energy harvesting using actor-critic based reinforcement learning
NASA Astrophysics Data System (ADS)
Loong, Cheng Ning; Chang, C. C.; Dimitrakopoulos, Elias G.
2018-03-01
Mitigating excessive vibration of civil engineering structures using various types of devices has been a conspicuous research topic in the past few decades. Some devices, such as electromagnetic transducers, which have a capability of exerting control forces while simultaneously harvesting energy, have been proposed recently. These devices make possible a self-regenerative system that can semi-actively mitigate structural vibration without the need of external energy. Integrating mechanical, electrical components, and control algorithms, these devices open up a new research domain that needs to be addressed. In this study, the feasibility of using an actor-critic based reinforcement learning control algorithm for simultaneous vibration control and energy harvesting for a civil engineering structure is investigated. The actor-critic based reinforcement learning control algorithm is a real-time, model-free adaptive technique that can adjust the controller parameters based on observations and reward signals without knowing the system characteristics. It is suitable for the control of a partially known nonlinear system with uncertain parameters. The feasibility of implementing this algorithm on a building structure equipped with an electromagnetic damper will be investigated in this study. Issues related to the modelling of learning algorithm, initialization and convergence will be presented and discussed.
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A false dichotomy? Mental illness and lone-actor terrorism.
Corner, Emily; Gill, Paul
2015-02-01
We test whether significant differences in mental illness exist in a matched sample of lone- and group-based terrorists. We then test whether there are distinct behavioral differences between lone-actor terrorists with and without mental illness. We then stratify our sample across a range of diagnoses and again test whether significant differences exist. We conduct a series of bivariate, multivariate, and multinomial statistical tests using a unique dataset of 119 lone-actor terrorists and a matched sample of group-based terrorists. The odds of a lone-actor terrorist having a mental illness is 13.49 times higher than the odds of a group actor having a mental illness. Lone actors who were mentally ill were 18.07 times more likely to have a spouse or partner who was involved in a wider movement than those without a history of mental illness. Those with a mental illness were more likely to have a proximate upcoming life change, more likely to have been a recent victim of prejudice, and experienced proximate and chronic stress. The results identify behaviors and traits that security agencies can utilize to monitor and prevent lone-actor terrorism events. The correlated behaviors provide an image of how risk can crystalize within the individual offender and that our understanding of lone-actor terrorism should be multivariate in nature.
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Lifelong Learning in the EU: Changing Conceptualisations, Actors, and Policies
ERIC Educational Resources Information Center
Volles, Nina
2016-01-01
This paper explores the changing conceptualisations, actors, and policies of lifelong learning (LLL) in the European Union (EU) from the time the topic first emerged and was promoted by international organisations in the 1960s. The author uses Kingdon's Multiple Streams Framework to analyse how the LLL discourse became an important part of the EU…
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Ferraro, Gianluca; Brans, Marleen; Dème, Moustapha; Failler, Pierre
2011-04-01
International institutions, understood as sets of rules contained in international agreements, are aimed at orienting national governments towards specific policy options. Nevertheless, they can determine a change in national policies and practices only if states are willing and capable of incorporating international obligations into their national legislations and ensuring their application and enforcement in areas that follow completely under national jurisdiction. The establishment of marine protected areas promoted by international agreements as a tool for the protection of marine resources represents an interesting case for revealing the complex interactions between international institutions and national actors. Particularly, the establishment of these areas in Senegal shows the salience of domestic constellations of actors who may support or undercut national commitments to international regimes: political elites, bureaucracies, the general public and target groups. By anchoring the empirical analysis to an actor-centred institutionalist perspective, the article explains how dynamic constellations of actors can distort the penetration of international objectives in the national policy framework. Different constellations of national actors can indeed bend international institutions at different moments: during the formulation of a new law in line with international obligations; in the definition of its implementation framework; and in the enforcement of national policies.
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Actor-critic-based optimal tracking for partially unknown nonlinear discrete-time systems.
Kiumarsi, Bahare; Lewis, Frank L
2015-01-01
This paper presents a partially model-free adaptive optimal control solution to the deterministic nonlinear discrete-time (DT) tracking control problem in the presence of input constraints. The tracking error dynamics and reference trajectory dynamics are first combined to form an augmented system. Then, a new discounted performance function based on the augmented system is presented for the optimal nonlinear tracking problem. In contrast to the standard solution, which finds the feedforward and feedback terms of the control input separately, the minimization of the proposed discounted performance function gives both feedback and feedforward parts of the control input simultaneously. This enables us to encode the input constraints into the optimization problem using a nonquadratic performance function. The DT tracking Bellman equation and tracking Hamilton-Jacobi-Bellman (HJB) are derived. An actor-critic-based reinforcement learning algorithm is used to learn the solution to the tracking HJB equation online without requiring knowledge of the system drift dynamics. That is, two neural networks (NNs), namely, actor NN and critic NN, are tuned online and simultaneously to generate the optimal bounded control policy. A simulation example is given to show the effectiveness of the proposed method.
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Skillington, T
1997-09-01
On account of the current wave of environmental consciousness, the state is adapting to the phenomena of systems of negotiations outside of the traditional institutional framework on environmental issues in an attempt to preserve cultural support. However recent experiments in discursive democracy have proven to be a modality for the transmission of productivist culture and for the reassertion of corporatist tendencies. This interpretation finds support here primarily through a discourse analysis based on a three-dimensional framework. The analysis begins by examining the structure of discursive formations of various participating actors at the Irish National Recycling Conference in 1993, and explores the ways in which actors struggled at the symbolic level to define the rules constitutive of this space of play. It argues from the perspective of discourse as social practice and justifies this approach by assessing the degree of synchronization between collective actors' systems of discursivity and the socially structured institutional sites within which they are embedded. Finally, by examining the position of this field vis-à-vis the field of political power, this research will show how broader relations of domination and traditional power asymmetries came to be reasserted in a 'new' participatory arrangement.
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NASA Astrophysics Data System (ADS)
Li, Huajiao; Fang, Wei; An, Haizhong; Gao, Xiangyun; Yan, Lili
2016-05-01
Economic networks in the real world are not homogeneous; therefore, it is important to study economic networks with heterogeneous nodes and edges to simulate a real network more precisely. In this paper, we present an empirical study of the one-mode derivative holding-based network constructed by the two-mode affiliation network of two sets of actors using the data of worldwide listed energy companies and their shareholders. First, we identify the primitive relationship in the two-mode affiliation network of the two sets of actors. Then, we present the method used to construct the derivative network based on the shareholding relationship between two sets of actors and the affiliation relationship between actors and events. After constructing the derivative network, we analyze different topological features on the node level, edge level and entire network level and explain the meanings of the different values of the topological features combining the empirical data. This study is helpful for expanding the usage of complex networks to heterogeneous economic networks. For empirical research on the worldwide listed energy stock market, this study is useful for discovering the inner relationships between the nations and regions from a new perspective.
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Dupre, Matthew E; Moody, James; Nelson, Alicia; Willis, Janese M; Fuller, Lori; Smart, Allen J; Easterling, Doug; Silberberg, Mina
2016-09-01
To examine the leadership attributes and collaborative connections of local actors from the health sector and those outside the health sector in a major place-based health initiative. We used survey data from 340 individuals in 4 Healthy Places North Carolina counties from 2014 to assess the leadership attributes (awareness, attitudes, and capacity) and network connections of local actors by their organizational sector. Respondents' leadership attributes-scored on 5-point Likert scales-were similar across Healthy Places North Carolina counties. Although local actors reported high levels of awareness and collaboration around community health improvement, we found lower levels of capacity for connecting diversity, identifying barriers, and using resources in new ways to improve community health. Actors outside the health sector had generally lower levels of capacity than actors in the health sector. Those in the health sector exhibited the majority of network ties in their community; however, they were also the most segregated from actors in other sectors. More capacity building around strategic action-particularly in nonhealth sectors-is needed to support efforts in making widespread changes to community health.
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Efficient model learning methods for actor-critic control.
Grondman, Ivo; Vaandrager, Maarten; Buşoniu, Lucian; Babuska, Robert; Schuitema, Erik
2012-06-01
We propose two new actor-critic algorithms for reinforcement learning. Both algorithms use local linear regression (LLR) to learn approximations of the functions involved. A crucial feature of the algorithms is that they also learn a process model, and this, in combination with LLR, provides an efficient policy update for faster learning. The first algorithm uses a novel model-based update rule for the actor parameters. The second algorithm does not use an explicit actor but learns a reference model which represents a desired behavior, from which desired control actions can be calculated using the inverse of the learned process model. The two novel methods and a standard actor-critic algorithm are applied to the pendulum swing-up problem, in which the novel methods achieve faster learning than the standard algorithm.
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NASA Astrophysics Data System (ADS)
Kaiser, K. E.; Flores, A. N.; Hillis, V.; Moroney, J.; Schneider, J.
2017-12-01
Modeling the management of water resources necessitates incorporation of complex social and hydrologic dynamics. Simulation of these socio-ecological systems requires characterization of the decision-making process of relevant actors, the mechanisms through which they exert control on the biophysical system, their ability to react and adapt to regional environmental conditions, and the plausible behaviors in response to changes in those conditions. Agent based models (ABMs) are a useful tool in simulating these complex adaptive systems because they can dynamically couple hydrological models and the behavior of decision making actors. ABMs can provide a flexible, integrated framework that can represent multi-scale interactions, and the heterogeneity of information networks and sources. However, the variability in behavior of water management actors across systems makes characterizing agent behaviors and relationships challenging. Agent typologies, or agent functional types (AFTs), group together individuals and/or agencies with similar functional roles, management objectives, and decision-making strategies. AFTs have been used to represent archetypal land managers in the agricultural and forestry sectors in large-scale socio-economic system models. A similar typology of water actors could simplify the representation of water management across river basins, and increase transferability and scaling of resulting ABMs. Here, we present a framework for identifying and classifying major water actors and show how we will link an ABM of water management to a regional hydrologic model in a western river basin. The Boise River Basin in southwest Idaho is an interesting setting to apply our AFT framework because of the diverse stakeholders and associated management objectives which include managing urban growth pressures and water supply in the face of climate change. Precipitation in the upper basin supplies 90% of the surface water used in the basin, thus managers of the
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Putting Gino's lesson to work: Actor-network theory, enacted humanity, and rehabilitation.
Abrams, Thomas; Gibson, Barbara E
2016-02-01
This article argues that rehabilitation enacts a particular understanding of "the human" throughout therapeutic assessment and treatment. Following Michel Callon and Vololona Rabeharisoa's "Gino's Lesson on Humanity," we suggest that this is not simply a top-down process, but is cultivated in the application and response to biomedical frameworks of human ability, competence, and responsibility. The emergence of the human is at once a materially contingent, moral, and interpersonal process. We begin the article by outlining the basics of the actor-network theory that underpins "Gino's Lesson on Humanity." Next, we elucidate its central thesis regarding how disabled personhood emerges through actor-network interactions. Section "Learning Gino's lesson" draws on two autobiographical examples, examining the emergence of humanity through rehabilitation, particularly assessment measures and the responses to them. We conclude by thinking about how rehabilitation and actor-network theory might take this lesson on humanity seriously. © The Author(s) 2016.
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Silvetti, Massimo; Alexander, William; Verguts, Tom; Brown, Joshua W
2014-10-01
The role of the medial prefrontal cortex (mPFC) and especially the anterior cingulate cortex has been the subject of intense debate for the last decade. A number of theories have been proposed to account for its function. Broadly speaking, some emphasize cognitive control, whereas others emphasize value processing; specific theories concern reward processing, conflict detection, error monitoring, and volatility detection, among others. Here we survey and evaluate them relative to experimental results from neurophysiological, anatomical, and cognitive studies. We argue for a new conceptualization of mPFC, arising from recent computational modeling work. Based on reinforcement learning theory, these new models propose that mPFC is an Actor-Critic system. This system is aimed to predict future events including rewards, to evaluate errors in those predictions, and finally, to implement optimal skeletal-motor and visceromotor commands to obtain reward. This framework provides a comprehensive account of mPFC function, accounting for and predicting empirical results across different levels of analysis, including monkey neurophysiology, human ERP, human neuroimaging, and human behavior. Copyright © 2013 Elsevier Ltd. All rights reserved.
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Barista: A Framework for Concurrent Speech Processing by USC-SAIL
Can, Doğan; Gibson, James; Vaz, Colin; Georgiou, Panayiotis G.; Narayanan, Shrikanth S.
2016-01-01
We present Barista, an open-source framework for concurrent speech processing based on the Kaldi speech recognition toolkit and the libcppa actor library. With Barista, we aim to provide an easy-to-use, extensible framework for constructing highly customizable concurrent (and/or distributed) networks for a variety of speech processing tasks. Each Barista network specifies a flow of data between simple actors, concurrent entities communicating by message passing, modeled after Kaldi tools. Leveraging the fast and reliable concurrency and distribution mechanisms provided by libcppa, Barista lets demanding speech processing tasks, such as real-time speech recognizers and complex training workflows, to be scheduled and executed on parallel (and/or distributed) hardware. Barista is released under the Apache License v2.0. PMID:27610047
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Barista: A Framework for Concurrent Speech Processing by USC-SAIL.
Can, Doğan; Gibson, James; Vaz, Colin; Georgiou, Panayiotis G; Narayanan, Shrikanth S
2014-05-01
We present Barista, an open-source framework for concurrent speech processing based on the Kaldi speech recognition toolkit and the libcppa actor library. With Barista, we aim to provide an easy-to-use, extensible framework for constructing highly customizable concurrent (and/or distributed) networks for a variety of speech processing tasks. Each Barista network specifies a flow of data between simple actors, concurrent entities communicating by message passing, modeled after Kaldi tools. Leveraging the fast and reliable concurrency and distribution mechanisms provided by libcppa, Barista lets demanding speech processing tasks, such as real-time speech recognizers and complex training workflows, to be scheduled and executed on parallel (and/or distributed) hardware. Barista is released under the Apache License v2.0.
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Actor-Network Theory and methodology: Just what does it mean to say that nonhumans have agency?
Sayes, Edwin
2014-02-01
Actor-Network Theory is a controversial social theory. In no respect is this more so than the role it 'gives' to nonhumans: nonhumans have agency, as Latour provocatively puts it. This article aims to interrogate the multiple layers of this declaration to understand what it means to assert with Actor-Network Theory that nonhumans exercise agency. The article surveys a wide corpus of statements by the position's leading figures and emphasizes the wider methodological framework in which these statements are embedded. With this work done, readers will then be better placed to reject or accept the Actor-Network position - understanding more precisely what exactly it is at stake in this decision.
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Moody, James; Nelson, Alicia; Willis, Janese M.; Fuller, Lori; Smart, Allen J.; Easterling, Doug; Silberberg, Mina
2016-01-01
Objectives. To examine the leadership attributes and collaborative connections of local actors from the health sector and those outside the health sector in a major place-based health initiative. Methods. We used survey data from 340 individuals in 4 Healthy Places North Carolina counties from 2014 to assess the leadership attributes (awareness, attitudes, and capacity) and network connections of local actors by their organizational sector. Results. Respondents’ leadership attributes—scored on 5-point Likert scales—were similar across Healthy Places North Carolina counties. Although local actors reported high levels of awareness and collaboration around community health improvement, we found lower levels of capacity for connecting diversity, identifying barriers, and using resources in new ways to improve community health. Actors outside the health sector had generally lower levels of capacity than actors in the health sector. Those in the health sector exhibited the majority of network ties in their community; however, they were also the most segregated from actors in other sectors. Conclusions. More capacity building around strategic action—particularly in nonhealth sectors—is needed to support efforts in making widespread changes to community health. PMID:27459443
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Crowdsourcing in pharma: a strategic framework.
Bentzien, Jörg; Bharadwaj, Ragu; Thompson, David C
2015-07-01
Conceptually, all organizations can be described as coordinated actors working together to deliver a product(s), or provide a service(s). For organizations to remain competitive, it is important to have processes that look outward for external 'innovations' that could improve how work is done, and what is delivered. We present a comprehensive review of a variety of processes that pharmaceutical companies have used to engage external actors ('the crowd') to provide innovation in the service of delivering novel therapeutic agents. This culminates in a framework that provides a consolidated view of crowdsourcing processes, which in turn enables a strategic application of a crowdsourcing methodology based on problem type. Copyright © 2015 Elsevier Ltd. All rights reserved.
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Flores, Walter; Gómez-Sánchez, Ismael
2010-01-01
Decentralisation and other public policies have created public spaces for participation in most Latin-American countries where community representatives, together with municipal authorities and other public functionaries, decide on social investment plans, including health services and infrastructure. The municipal development council system constitutes such public space in Guatemala. This study analysed such system's governance in a sample of 6 rural municipalities. A descriptive design was used, applying qualitative and quantitative techniques to study three central categories: the strategic actors, the rules of the game and power asymmetry levels amongst actors. The findings revealed inconsistencies amongst the actors who had to participate according to the legal framework and those actors who actually did so in practice. Divergent interests were also identified for participating which affected the possibility of reaching consensus during decision-making. Analysing the rules of the game led to identifying formal and non-formal mechanisms favouring some actors' ability to influence decisions. Analysing power asymmetry levels led to identifying that community representatives had fewer power resources than institutional representatives (local government and other government organisations). Community representatives also face different barriers blocking their participation and perceive a lesser capacity to influence decision-making. Existing barriers and fewer power resources experienced by community representatives reduce their abilities to influence decision-making in municipal development councils.
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Integrating Water, Actors, and Structure to Study Socio-Hydro-Ecological Systems
NASA Astrophysics Data System (ADS)
Hale, R. L.; Armstrong, A.; Baker, M. A.; Bedingfield, S.; Betts, D.; Buahin, C. A.; Buchert, M.; Crowl, T.; Dupont, R.; Endter-Wada, J.; Flint, C.; Grant, J.; Hinners, S.; Horns, D.; Horsburgh, J. S.; Jackson-Smith, D.; Jones, A. S.; Licon, C.; Null, S. E.; Odame, A.; Pataki, D. E.; Rosenberg, D. E.; Runburg, M.; Stoker, P.; Strong, C.
2014-12-01
Urbanization, climate uncertainty, and ecosystem change represent major challenges for managing water resources. Water systems and the forces acting upon them are complex, and there is a need to understand and generically represent the most important system components and linkages. We developed a framework to facilitate understanding of water systems including potential vulnerabilities and opportunities for sustainability. Our goal was to produce an interdisciplinary framework for water resources research to address water issues across scales (e.g., city to region) and domains (e.g., water supply and quality, urban and transitioning landscapes). An interdisciplinary project (iUTAH - innovative Urban Transitions and Aridregion Hydro-sustainability) with a large (N=~100), diverse team having expertise spanning the hydrologic, biological, ecological, engineering, social, planning, and policy sciences motivated the development of this framework. The framework was developed through review of the literature, meetings with individual researchers, and workshops with participants. The Structure-Water-Actor Framework (SWAF) includes three main components: water (quality and quantity), structure (natural, built, and social), and actors (individual and organizational). Key linkages include: 1) ecological and hydrological processes, 2) ecosystem and geomorphic change, 3) planning, design, and policy, 4) perceptions, information, and experience, 5) resource access, and 6) operational water use and management. Our expansive view of structure includes natural, built, and social components, allowing us to examine a broad set of tools and levers for water managers and decision-makers to affect system sustainability and understand system outcomes. We validate the SWAF and illustrate its flexibility to generate insights for three research and management problems: green stormwater infrastructure in an arid environment, regional water supply and demand, and urban river restoration
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Rozas-Vásquez, Daniel, E-mail: danielrozas@gmail.com; Laboratorio de Planificación Territorial, Universidad Católica de Temuco, Rudecindo ortega, 02950 Temuco; Fürst, Christine
Integrating an ecosystem services (ES) approach into Strategic Environmental Assessment (SEA) of spatial plans potentially enhances the consideration of the value of nature in decision making and policy processes. However, there is increasing concern about the institutional context and a lack of a common understanding of SEA and ecosystem services for adopting them as an integrated framework. This paper addresses this concern by analysing the current understanding and network relations in a multi-actor arrangement as a first step towards a successful integration of ES in SEA and spatial planning. Our analysis focuses on a case study in Chile, where wemore » administered a questionnaire survey to some of the main actors involved in the spatial planning process. The questionnaire focused on issues such as network relations among actors and on conceptual understanding, perceptions and challenges for integrating ES in SEA and spatial planning, knowledge on methodological approaches, and the connections and gaps in the science-policy interface. Our findings suggest that a common understanding of SEA and especially of ES in a context of multiple actors is still at an initial stage in Chile. Additionally, the lack of institutional guidelines and methodological support is considered the main challenge for integration. We conclude that preconditions exist in Chile for integrating ES in SEA for spatial planning, but they strongly depend on appropriate governance schemes that promote a close science-policy interaction, as well as collaborative work and learning. - Highlights: • Linking ecosystem services in SEA is an effective framework for sustainability. • Multi-actor understanding and networks in ecosystem services and SEA were analyzed. • Understanding of SEA and especially of ES is still in an initial stage in Chile. • A lack of institutional guidelines is one of the key challenges for this link.« less
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ERIC Educational Resources Information Center
Liming, Drew
2009-01-01
This article talks about voice actors and features Tony Oliver, a professional voice actor. Voice actors help to bring one's favorite cartoon and video game characters to life. They also do voice-overs for radio and television commercials and movie trailers. These actors use the sound of their voice to sell a character's emotions--or an advertised…
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Integrated Agent-Based and Production Cost Modeling Framework for Renewable Energy Studies
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gallo, Giulia
The agent-based framework for renewable energy studies (ARES) is an integrated approach that adds an agent-based model of industry actors to PLEXOS and combines the strengths of the two to overcome their individual shortcomings. It can examine existing and novel wholesale electricity markets under high penetrations of renewables. ARES is demonstrated by studying how increasing levels of wind will impact the operations and the exercise of market power of generation companies that exploit an economic withholding strategy. The analysis is carried out on a test system that represents the Electric Reliability Council of Texas energy-only market in the year 2020.more » The results more realistically reproduce the operations of an energy market under different and increasing penetrations of wind, and ARES can be extended to address pressing issues in current and future wholesale electricity markets.« less
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Integrated Agent-Based and Production Cost Modeling Framework for Renewable Energy Studies: Preprint
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gallo, Giulia
The agent-based framework for renewable energy studies (ARES) is an integrated approach that adds an agent-based model of industry actors to PLEXOS and combines the strengths of the two to overcome their individual shortcomings. It can examine existing and novel wholesale electricity markets under high penetrations of renewables. ARES is demonstrated by studying how increasing levels of wind will impact the operations and the exercise of market power of generation companies that exploit an economic withholding strategy. The analysis is carried out on a test system that represents the Electric Reliability Council of Texas energy-only market in the year 2020.more » The results more realistically reproduce the operations of an energy market under different and increasing penetrations of wind, and ARES can be extended to address pressing issues in current and future wholesale electricity markets.« less
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Bombing alone: tracing the motivations and antecedent behaviors of lone-actor terrorists,.
Gill, Paul; Horgan, John; Deckert, Paige
2014-03-01
This article analyzes the sociodemographic network characteristics and antecedent behaviors of 119 lone-actor terrorists. This marks a departure from existing analyses by largely focusing upon behavioral aspects of each offender. This article also examines whether lone-actor terrorists differ based on their ideologies or network connectivity. The analysis leads to seven conclusions. There was no uniform profile identified. In the time leading up to most lone-actor terrorist events, other people generally knew about the offender's grievance, extremist ideology, views, and/or intent to engage in violence. A wide range of activities and experiences preceded lone actors' plots or events. Many but not all lone-actor terrorists were socially isolated. Lone-actor terrorists regularly engaged in a detectable and observable range of activities with a wider pressure group, social movement, or terrorist organization. Lone-actor terrorist events were rarely sudden and impulsive. There were distinguishable behavioral differences between subgroups. The implications for policy conclude this article. © 2013 American Academy of Forensic Sciences.
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[A framework to support action in population mental health].
Mantoura, Pascale; Roberge, Marie-Claude; Fournier, Louise
In Quebec, like elsewhere in the world, we are witnessing a growing concern for the population's mental health and for the importance of concentrating efforts on prevention and promotion. In this context, public health actors are invited to adopt a leadership role in advancing mental health promotion and mental disorder prevention goals, and establish the required partnerships with actors from the health and social services and from other sectors who are indispensable to the population mental health agenda. In Canada, public heath actors are not yet sufficiently supported in this role. They express the need to access structuring frameworks which can clarify their action in mental health. This article first presents the momentum for change at the policy level within the field of mental health. A framework to support population mental health action is then presented. The framework identifies the various dimensions underlying the promotion of population mental health as well as the reduction of mental health inequalities. The article finally illustrates how the application of a populational (the application of a populational responsibility perspective) responsibility perspective, as it is defined in the context of Quebec, facilitates the implementation of the various elements of this framework. In the end, public health actors are better equipped to situate their practice in favour of the population's mental health.
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ERIC Educational Resources Information Center
Niesz, Tricia; Krishnamurthy, Ramchandar
2014-01-01
Tamil Nadu has gained international recognition for reforming its government school classrooms into active, child-centered learning environments. Our exploration of the history of the Activity Based Learning movement suggests that this reform was achieved by social movement actors serving in and through the state's administration. Participants in…
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Etiaba, Enyi; Uguru, Nkoli; Ebenso, Bassey; Russo, Giuliano; Ezumah, Nkoli; Uzochukwu, Benjamin; Onwujekwe, Obinna
2015-05-06
In Nigeria, there is a high burden of oral health diseases, poor coordination of health services and human resources for delivery of oral health services. Previous attempts to develop an Oral Health Policy (OHP) to decrease the oral disease burden failed. However, a policy was eventually developed in November 2012. This paper explores the role of contextual factors, actors and the policy process in the development of the OHP and possible reasons why the current approved OHP succeeded. The study was undertaken across Nigeria; information gathered through document reviews and in-depth interviews with five groups of purposively selected respondents. Analysis of the policy development process was guided by the policy triangle framework, examining context, policy process and actors involved in the policy development. The foremost enabling factor was the yearning among policy actors for a policy, having had four failed attempts. Other factors were the presence of a democratically elected government, a framework for health sector reform instituted by the Federal Ministry of Health (FMOH). The approved OHP went through all stages required for policy development unlike the previous attempts. Three groups of actors played crucial roles in the process, namely academics/researchers, development partners and policy makers. They either had decision making powers or influenced policy through funding or technical ability to generate credible research evidence, all sharing a common interest in developing the OHP. Although evidence was used to inform the development of the policy, the complex interactions between the context and actors facilitated its approval. The OHP development succeeded through a complex inter-relationship of context, process and actors, clearly illustrating that none of these factors could have, in isolation, catalyzed the policy development. Availability of evidence is necessary but not sufficient for developing policies in this area. Wider socio
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A climate game based on a Multi-Actor Dynamic Integrated Assessment Model (MADIAM)
NASA Astrophysics Data System (ADS)
Weber, M.; Hasselmann, K.
2003-04-01
In November 2002 a special exhibition on climate issues opened in the German Museum for Science and Techniques ('Deutsches Museum') in Munich. Within this exposition we present an interactive game in which visitors control future climate policy by adopting the role of either the government, a CEO (Chief Executive Officer) of a global company or a typical private household of an industrialized country. The players endeavor to maintain a sustainable climate in the future (global goal) while pursuing their own individual welfare goals. Task of the exhibition visitor is to combine the personal interests of the actor he is adopting with the global goal. The individual goal of government is maintain economic growth while avoiding conflicts due to inter-regional or societal inequalities. The CEO seeks to maximize total profits (business earnings). The goal of households is to maximize wages and interest earnings. The evolution of the economic system and climate is governed by the decisions of the actors. Government sets economic side conditions in terms of carbon taxes, subsidies for R&D or market infusion support for climate-friendly technologies, and transfers development aid to less advanced regions. The CEOs decide how much to invest in a number of alternative investment options and in which region. Households influences the economy by their purchasing and savings decisions. The model considers four regions, three real actors (mentioned above) and two different goods (climate-adverse and a climate-friendly). We introduce four different kinds of energy (coal, oil/gas, nuclear, renewable). A World Bank handles money flows. At different points in time the actors can cooperate with other actors in order to reach the global goal Stochastic elements regarding future technology and future climate are included. A touch-screen monitor with user friendly interface is used to present animations and videos. An animated climate scientist uses a climate simulator to compute future
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iSAW: Integrating Structure, Actors, and Water to study socio-hydro-ecological systems
NASA Astrophysics Data System (ADS)
Hale, Rebecca L.; Armstrong, Andrea; Baker, Michelle A.; Bedingfield, Sean; Betts, David; Buahin, Caleb; Buchert, Martin; Crowl, Todd; Dupont, R. Ryan; Ehleringer, James R.; Endter-Wada, Joanna; Flint, Courtney; Grant, Jacqualine; Hinners, Sarah; Horsburgh, Jeffery S.; Jackson-Smith, Douglas; Jones, Amber S.; Licon, Carlos; Null, Sarah E.; Odame, Augustina; Pataki, Diane E.; Rosenberg, David; Runburg, Madlyn; Stoker, Philip; Strong, Courtenay
2015-03-01
Urbanization, climate, and ecosystem change represent major challenges for managing water resources. Although water systems are complex, a need exists for a generalized representation of these systems to identify important components and linkages to guide scientific inquiry and aid water management. We developed an integrated Structure-Actor-Water framework (iSAW) to facilitate the understanding of and transitions to sustainable water systems. Our goal was to produce an interdisciplinary framework for water resources research that could address management challenges across scales (e.g., plot to region) and domains (e.g., water supply and quality, transitioning, and urban landscapes). The framework was designed to be generalizable across all human-environment systems, yet with sufficient detail and flexibility to be customized to specific cases. iSAW includes three major components: structure (natural, built, and social), actors (individual and organizational), and water (quality and quantity). Key linkages among these components include: (1) ecological/hydrologic processes, (2) ecosystem/geomorphic feedbacks, (3) planning, design, and policy, (4) perceptions, information, and experience, (5) resource access and risk, and (6) operational water use and management. We illustrate the flexibility and utility of the iSAW framework by applying it to two research and management problems: understanding urban water supply and demand in a changing climate and expanding use of green storm water infrastructure in a semi-arid environment. The applications demonstrate that a generalized conceptual model can identify important components and linkages in complex and diverse water systems and facilitate communication about those systems among researchers from diverse disciplines.
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Ratliff, Eric A; Kaduri, Pamela; Masao, Frank; Mbwambo, Jessie K K; McCurdy, Sheryl A
2016-04-01
Contrary to popular belief, policies on drug use are not always based on scientific evidence or composed in a rational manner. Rather, decisions concerning drug policies reflect the negotiation of actors' ambitions, values, and facts as they organize in different ways around the perceived problems associated with illicit drug use. Drug policy is thus best represented as a complex adaptive system (CAS) that is dynamic, self-organizing, and coevolving. In this analysis, we use a CAS framework to examine how harm reduction emerged around heroin trafficking and use in Tanzania over the past thirty years (1985-present). This account is an organizational ethnography based on of the observant participation of the authors as actors within this system. We review the dynamic history and self-organizing nature of harm reduction, noting how interactions among system actors and components have coevolved with patterns of heroin us, policing, and treatment activities over time. Using a CAS framework, we describe harm reduction as a complex process where ambitions, values, facts, and technologies interact in the Tanzanian sociopolitical environment. We review the dynamic history and self-organizing nature of heroin policies, noting how the interactions within and between competing prohibitionist and harm reduction policies have changed with patterns of heroin use, policing, and treatment activities over time. Actors learn from their experiences to organize with other actors, align their values and facts, and implement new policies. Using a CAS approach provides researchers and policy actors a better understanding of patterns and intricacies in drug policy. This knowledge of how the system works can help improve the policy process through adaptive action to introduce new actors, different ideas, and avenues for communication into the system. Copyright © 2015 Elsevier B.V. All rights reserved.
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Pilarski, Patrick M; Dawson, Michael R; Degris, Thomas; Fahimi, Farbod; Carey, Jason P; Sutton, Richard S
2011-01-01
As a contribution toward the goal of adaptable, intelligent artificial limbs, this work introduces a continuous actor-critic reinforcement learning method for optimizing the control of multi-function myoelectric devices. Using a simulated upper-arm robotic prosthesis, we demonstrate how it is possible to derive successful limb controllers from myoelectric data using only a sparse human-delivered training signal, without requiring detailed knowledge about the task domain. This reinforcement-based machine learning framework is well suited for use by both patients and clinical staff, and may be easily adapted to different application domains and the needs of individual amputees. To our knowledge, this is the first my-oelectric control approach that facilitates the online learning of new amputee-specific motions based only on a one-dimensional (scalar) feedback signal provided by the user of the prosthesis. © 2011 IEEE
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When More Power Makes Actors Worse off: Turning a Profit in the American Economy
ERIC Educational Resources Information Center
Piskorski, Mikolaj Jan; Casciaro, Tiziana
2006-01-01
We propose a theory which predicts that an increase in an actor's relative power reduces the actor's rewards in high mutual dependence dyads. Our argument is based on the premise that higher relative power gives the more powerful actor a greater share of surplus, but it also reduces dyadic exchange frequency, which lowers the expected magnitude of…
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Transnational corporations as 'keystone actors' in marine ecosystems.
Österblom, Henrik; Jouffray, Jean-Baptiste; Folke, Carl; Crona, Beatrice; Troell, Max; Merrie, Andrew; Rockström, Johan
2015-01-01
Keystone species have a disproportionate influence on the structure and function of ecosystems. Here we analyze whether a keystone-like pattern can be observed in the relationship between transnational corporations and marine ecosystems globally. We show how thirteen corporations control 11-16% of the global marine catch (9-13 million tons) and 19-40% of the largest and most valuable stocks, including species that play important roles in their respective ecosystem. They dominate all segments of seafood production, operate through an extensive global network of subsidiaries and are profoundly involved in fisheries and aquaculture decision-making. Based on our findings, we define these companies as keystone actors of the Anthropocene. The phenomenon of keystone actors represents an increasingly important feature of the human-dominated world. Sustainable leadership by keystone actors could result in cascading effects throughout the entire seafood industry and enable a critical transition towards improved management of marine living resources and ecosystems.
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Learning about a fish from an ANT: actor network theory and science education in the postgenomic era
NASA Astrophysics Data System (ADS)
Pierce, Clayton
2015-03-01
This article uses actor network theory (ANT) to develop a more appropriate model of scientific literacy for students, teachers, and citizens in a society increasingly populated with biotechnological and bioscientific nonhumans. In so doing, I take the recent debate surrounding the first genetically engineered animal food product under review by the FDA, AquaBounty Technologies' AquAdvantage® salmon, as a vehicle for exploring the ways in which the biosciences have fundamentally altered the boundary between nature and culture and thus the way the public understands both. In response to the new challenges of a postgenomic society, I outline three frameworks for using ANT literacies in classroom settings. Each frame, I argue, is foundational to the development of a scientific literacy that can trace and map actors involved in controversies such as the AquAdvantage® salmon. In examining these frames I follow the actor of a salmon through an environmental history lens, the technoscientific literacy operating in AquaBounty's FDA application and the National Academies new science education framework, and finally to a model of democracy rooted in an ethic of the common. The ultimate claim of this article is that until science education (and education in general) can begin to include nonhumans such as the AquAdvantage® salmon as part of a common political framework, students, educators, and community members will continue to be at the mercy of experts and corporate stakeholders for defining the terms in which people heal, feed, and educate themselves now and in the future.
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ERIC Educational Resources Information Center
Dang, Que Anh
2018-01-01
This paper examines the sources of authority behind the Bologna and ASEM secretariats' technocratic appearance and administrative routines, and argues that they are transnational policy actors in their own right. By drawing on principal-agent theory and the concept of "authority," it offers an alternative framework for understanding the…
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Changing Power Actors in a Midwestern Community.
ERIC Educational Resources Information Center
Tait, John L.; And Others
A longitudinal study was made of Prairie City, Iowa wherein the personal and social characteristics of the 1962 power actor pool were compared with characteristics of the 1973 power actor pool to test the hypothesis that: the personal and social characteristics of power actors will not change significantly over time. Procedures for identifying…
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Fan, Quan-Yong; Yang, Guang-Hong
2016-01-01
This paper is concerned with the problem of integral sliding-mode control for a class of nonlinear systems with input disturbances and unknown nonlinear terms through the adaptive actor-critic (AC) control method. The main objective is to design a sliding-mode control methodology based on the adaptive dynamic programming (ADP) method, so that the closed-loop system with time-varying disturbances is stable and the nearly optimal performance of the sliding-mode dynamics can be guaranteed. In the first step, a neural network (NN)-based observer and a disturbance observer are designed to approximate the unknown nonlinear terms and estimate the input disturbances, respectively. Based on the NN approximations and disturbance estimations, the discontinuous part of the sliding-mode control is constructed to eliminate the effect of the disturbances and attain the expected equivalent sliding-mode dynamics. Then, the ADP method with AC structure is presented to learn the optimal control for the sliding-mode dynamics online. Reconstructed tuning laws are developed to guarantee the stability of the sliding-mode dynamics and the convergence of the weights of critic and actor NNs. Finally, the simulation results are presented to illustrate the effectiveness of the proposed method.
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A Low-cost System for Generating Near-realistic Virtual Actors
NASA Astrophysics Data System (ADS)
Afifi, Mahmoud; Hussain, Khaled F.; Ibrahim, Hosny M.; Omar, Nagwa M.
2015-06-01
Generating virtual actors is one of the most challenging fields in computer graphics. The reconstruction of a realistic virtual actor has been paid attention by the academic research and the film industry to generate human-like virtual actors. Many movies were acted by human-like virtual actors, where the audience cannot distinguish between real and virtual actors. The synthesis of realistic virtual actors is considered a complex process. Many techniques are used to generate a realistic virtual actor; however they usually require expensive hardware equipment. In this paper, a low-cost system that generates near-realistic virtual actors is presented. The facial features of the real actor are blended with a virtual head that is attached to the actor's body. Comparing with other techniques that generate virtual actors, the proposed system is considered a low-cost system that requires only one camera that records the scene without using any expensive hardware equipment. The results of our system show that the system generates good near-realistic virtual actors that can be used on many applications.
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Ratliff, Eric A.; Kaduri, Pamela; Masao, Frank; Mbwambo, Jessie K.K.; McCurdy, Sheryl A.
2016-01-01
Contrary to popular belief, policies on drug use are not always based on scientific evidence or composed in a rational manner. Rather, decisions concerning drug policies reflect the negotiation of actors’ ambitions, values, and facts as they organize in different ways around the perceived problems associated with illicit drug use. Drug policy is thus best represented as a complex adaptive system (CAS) that is dynamic, self-organizing, and coevolving. In this analysis, we use a CAS framework to examine how harm reduction emerged around heroin trafficking and use in Tanzania over the past thirty years (1985-present). This account is an organizational ethnography based on of the observant participation of the authors as actors within this system. We review the dynamic history and self-organizing nature of harm reduction, noting how interactions among system actors and components have coevolved with patterns of heroin us, policing, and treatment activities over time. Using a CAS framework, we describe harm reduction as a complex process where ambitions, values, facts, and technologies interact in the Tanzanian socio-political environment. We review the dynamic history and self-organizing nature of heroin policies, noting how the interactions within and between competing prohibitionist and harm reduction policies have changed with patterns of heroin use, policing, and treatment activities over time. Actors learn from their experiences to organize with other actors, align their values and facts, and implement new policies. Using a CAS approach provides researchers and policy actors a better understanding of patterns and intricacies in drug policy. This knowledge of how the system works can help improve the policy process through adaptive action to introduce new actors, different ideas, and avenues for communication into the system. PMID:26790689
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2014-08-01
Dynamics” (Project Code: 10az01). The Socio- cognitive Systems Section (SCSS) at Defence Research and Development Canada (DRDC), Toronto Research Centre...these actors to its core strategic-level factors. It serves as a cognitive model—or “primer”—on this class of irregular adversary as well as a...1.1 Background The Socio- Cognitive Systems Section (SCSS) at Defence Research and Development Canada (DRDC), Toronto Research Centre has completed a
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Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture.
Li, Cai; Lowe, Robert; Ziemke, Tom
2013-01-01
The identification of learning mechanisms for locomotion has been the subject of much research for some time but many challenges remain. Dynamic systems theory (DST) offers a novel approach to humanoid learning through environmental interaction. Reinforcement learning (RL) has offered a promising method to adaptively link the dynamic system to the environment it interacts with via a reward-based value system. In this paper, we propose a model that integrates the above perspectives and applies it to the case of a humanoid (NAO) robot learning to walk the ability of which emerges from its value-based interaction with the environment. In the model, a simplified central pattern generator (CPG) architecture inspired by neuroscientific research and DST is integrated with an actor-critic approach to RL (cpg-actor-critic). In the cpg-actor-critic architecture, least-square-temporal-difference based learning converges to the optimal solution quickly by using natural gradient learning and balancing exploration and exploitation. Futhermore, rather than using a traditional (designer-specified) reward it uses a dynamic value function as a stability indicator that adapts to the environment. The results obtained are analyzed using a novel DST-based embodied cognition approach. Learning to walk, from this perspective, is a process of integrating levels of sensorimotor activity and value.
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Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture
Li, Cai; Lowe, Robert; Ziemke, Tom
2013-01-01
The identification of learning mechanisms for locomotion has been the subject of much research for some time but many challenges remain. Dynamic systems theory (DST) offers a novel approach to humanoid learning through environmental interaction. Reinforcement learning (RL) has offered a promising method to adaptively link the dynamic system to the environment it interacts with via a reward-based value system. In this paper, we propose a model that integrates the above perspectives and applies it to the case of a humanoid (NAO) robot learning to walk the ability of which emerges from its value-based interaction with the environment. In the model, a simplified central pattern generator (CPG) architecture inspired by neuroscientific research and DST is integrated with an actor-critic approach to RL (cpg-actor-critic). In the cpg-actor-critic architecture, least-square-temporal-difference based learning converges to the optimal solution quickly by using natural gradient learning and balancing exploration and exploitation. Futhermore, rather than using a traditional (designer-specified) reward it uses a dynamic value function as a stability indicator that adapts to the environment. The results obtained are analyzed using a novel DST-based embodied cognition approach. Learning to walk, from this perspective, is a process of integrating levels of sensorimotor activity and value. PMID:23675345
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Bad Actors Criticality Assessment for Pipeline system
NASA Astrophysics Data System (ADS)
Nasir, Meseret; Chong, Kit wee; Osman, Sabtuni; Siaw Khur, Wee
2015-04-01
Failure of a pipeline system could bring huge economic loss. In order to mitigate such catastrophic loss, it is required to evaluate and rank the impact of each bad actor of the pipeline system. In this study, bad actors are known as the root causes or any potential factor leading to the system downtime. Fault Tree Analysis (FTA) is used to analyze the probability of occurrence for each bad actor. Bimbaum's Importance and criticality measure (BICM) is also employed to rank the impact of each bad actor on the pipeline system failure. The results demonstrate that internal corrosion; external corrosion and construction damage are critical and highly contribute to the pipeline system failure with 48.0%, 12.4% and 6.0% respectively. Thus, a minor improvement in internal corrosion; external corrosion and construction damage would bring significant changes in the pipeline system performance and reliability. These results could also be useful to develop efficient maintenance strategy by identifying the critical bad actors.
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Use of actors as standardized psychiatric patients.
Keltner, Norman L; Grant, Joan S; McLernon, Dennis
2011-05-01
Using actors in simulation provides opportunities for immersive, interactive, and reflective experiences to improve health care professionals' clinical expertise and practice. These experiences facilitate the development of enhanced critical thinking, problem-solving, and communication skills without risks to patients. This article discusses how to integrate actors and students into simulated experiences. Examples are provided using mental health simulations with actors as standardized psychiatric patients. Copyright 2011, SLACK Incorporated.
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Lerner, Michael Z; Paskhover, Boris; Acton, Lynn; Young, Nwanmegha
2013-11-01
The purpose of this study was to investigate the prevalence of vocal pathology among first-year acting students. A retrospective review of 30 first-year graduate-level drama students between 2009 and 2011 was performed. Stroboscopy, Voice Handicap Index-10 questionnaires, and acoustic measures were analyzed. The prevalence of incomplete glottal closure, laryngeal hyperfunction, and decreased mucosal wave was 62%, 59%, and 55%, respectively. Laryngoscopic findings consistent with laryngopharyngeal reflux (LPR) were demonstrated in 48% of subjects. Subgroup analysis of laryngeal hyperfunctioning (HF) and nonhyperfunctioning drama students revealed an increased prevalence of all videostroboscopic abnormalities in the HF group. The increased prevalence of LPR stigmata in HF actors reached statistical significance (P = 0.04). The vocal demands of actors are unique, requiring the effective use of volume, pitch control, and endurance. This is the first study that systematically analyzes the prevalence of vocal pathology in actors. This study will continue throughout their education, anticipating that our feedback along with their vocal training will improve outcomes. Copyright © 2013 The Voice Foundation. Published by Mosby, Inc. All rights reserved.
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Quantization-Based Adaptive Actor-Critic Tracking Control With Tracking Error Constraints.
Fan, Quan-Yong; Yang, Guang-Hong; Ye, Dan
2018-04-01
In this paper, the problem of adaptive actor-critic (AC) tracking control is investigated for a class of continuous-time nonlinear systems with unknown nonlinearities and quantized inputs. Different from the existing results based on reinforcement learning, the tracking error constraints are considered and new critic functions are constructed to improve the performance further. To ensure that the tracking errors keep within the predefined time-varying boundaries, a tracking error transformation technique is used to constitute an augmented error system. Specific critic functions, rather than the long-term cost function, are introduced to supervise the tracking performance and tune the weights of the AC neural networks (NNs). A novel adaptive controller with a special structure is designed to reduce the effect of the NN reconstruction errors, input quantization, and disturbances. Based on the Lyapunov stability theory, the boundedness of the closed-loop signals and the desired tracking performance can be guaranteed. Finally, simulations on two connected inverted pendulums are given to illustrate the effectiveness of the proposed method.
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Multicultural Monologues for Young Actors. The Young Actors Series.
ERIC Educational Resources Information Center
Slaight, Craig, Ed.; Sharrar, Jack, Ed.
This book presents 62 monologue selections from diverse cultures for young actors to perform. The book's selections offer "quality literature by significant writers." Some of the writers represented in the book are George C. Wolfe, Miguel Pinero, Lorraine Hansberry, Amiri Baraka (LeRoi Jones), John M. Synge, Yukio Mishima, Reynolds…
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Coruble, Gérard; Vandoorne, Chantal
2005-01-01
The Regional Health Programme of Children and Adolescents in Province Alpes Cote d'Azur (PRSJ), developed between March 1998 and May 1999, is characterised by its scope and complexity. It is more a strategic framework for action than an operational programme. To carry out this action, it was adapted to the level of intervention, on the one hand, using instruments at the regional level adapted for professional interventions, and, on the other hand, through the development of territory-based approaches founded on the creation of networks. Evaluations have shown that the actors found the framework proposed by PRSJ positive and adopted it. They expressed their creativity with more spontaneity in the networks with therapeutic objectives, than those responding to health determinants, which needed initial local support. Local communities appeared as the ideal setting for dissemination and sustainability of PRSJ's objectives. PRSJ's strategic framework allowed local actors to express their talent. This mode of action, which accommodates not only programmatic focus within the context of practitioners on the ground, but also, epidemiology and socio-geographic interventions, are pertinent. To go beyond the explicit milestones set by the strategic orientations of the programme, different elements strengthening the framework are highlighted.
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Bombing Alone: Tracing the Motivations and Antecedent Behaviors of Lone-Actor Terrorists*,†,‡
Gill, Paul; Horgan, John; Deckert, Paige
2014-01-01
This article analyzes the sociodemographic network characteristics and antecedent behaviors of 119 lone-actor terrorists. This marks a departure from existing analyses by largely focusing upon behavioral aspects of each offender. This article also examines whether lone-actor terrorists differ based on their ideologies or network connectivity. The analysis leads to seven conclusions. There was no uniform profile identified. In the time leading up to most lone-actor terrorist events, other people generally knew about the offender’s grievance, extremist ideology, views, and/or intent to engage in violence. A wide range of activities and experiences preceded lone actors’ plots or events. Many but not all lone-actor terrorists were socially isolated. Lone-actor terrorists regularly engaged in a detectable and observable range of activities with a wider pressure group, social movement, or terrorist organization. Lone-actor terrorist events were rarely sudden and impulsive. There were distinguishable behavioral differences between subgroups. The implications for policy conclude this article. PMID:24313297
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Mukumbang, Ferdinand C; Van Belle, Sara; Marchal, Bruno; van Wyk, Brian
2017-08-25
It is increasingly acknowledged that differentiated care models hold potential to manage large volumes of patients on antiretroviral therapy (ART). Various group-based models of ART service delivery aimed at decongesting local health facilities, encouraging patient retention in care, and enhancing adherence to medication have been implemented across sub-Saharan Africa. Evidence from the literature suggests that these models of ART service delivery are more effective than corresponding facility-based care and superior to individual-based models. Nevertheless, there is little understanding of how these care models work to achieve their intended outcomes. The aim of this study was to review the theories explicating how and why group-based ART models work using a realist evaluation framework. A systematic review of the literature on group-based ART support models in sub-Saharan Africa was conducted. We searched the Google Scholar and PubMed databases and supplemented these with a reference chase of the identified articles. We applied a theory-driven approach-narrative synthesis-to synthesise the data. Data were analysed using the thematic content analysis method and synthesised according to aspects of the Intervention-Context-Actor-Mechanism-Outcome heuristic-analytic tool-a realist evaluation theory building tool. Twelve articles reporting primary studies on group-based models of ART service delivery were included in the review. The six studies that employed a quantitative study design failed to identify aspects of the context and mechanisms that work to trigger the outcomes of group-based models. While the other four studies that applied a qualitative and the two using a mixed methods design identified some of the aspects of the context and mechanisms that could trigger the outcomes of group-based ART models, these studies did not explain the relationship(s) between the theory elements and how they interact to produce the outcome(s). Although we could distill
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Forest biodiversity monitoring for REDD+: a case study of actors' views in Peru.
Entenmann, Steffen K; Kaphegyi, Thomas A M; Schmitt, Christine B
2014-02-01
The climate change mitigation mechanism Reducing Emissions from Deforestation and Forest Degradation in developing countries (REDD+) is currently being negotiated under the United Nations Framework Convention on Climate Change (UNFCCC). Integrating biodiversity monitoring into REDD+ facilitates compliance with the safeguards stipulated by the UNFCCC to exclude environmental risks. Interviews with actors engaged in REDD+ implementation and biodiversity conservation at the national and sub-national level in Peru (n = 30) and a literature review (n = 58) were conducted to pinpoint constraints and opportunities for monitoring effects of REDD+ management interventions on biodiversity, and to identify relevant biodiversity data and indicators. It was found that particularly sub-national actors, who were frequently involved in REDD+ pilot projects, acknowledge the availability of biodiversity data. Actors at both the national and sub-national levels, however, criticized data gaps and data being scattered across biodiversity research organizations. Most of the literature reviewed (78 %) included indicators on the state of certain biodiversity aspects, especially mammals. Indicators for pressure on biodiversity, impacts on environmental functions, or policy responses to environmental threats were addressed less frequently (31, 21, and 10 %, respectively). Integrating biodiversity concerns in carbon monitoring schemes was considered to have potential, although few specific examples were identified. The involvement of biodiversity research organizations in sub-national REDD+ activities enhances monitoring capacities. It is discussed how improvements in collaboration among actors from the project to the national level could facilitate the evaluation of existing information at the national level. Monitoring changes in ecosystem services may increase the ecological and socioeconomic viability of REDD+.
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The key role of supply chain actors in groundwater irrigation development in North Africa
NASA Astrophysics Data System (ADS)
Lejars, Caroline; Daoudi, Ali; Amichi, Hichem
2017-09-01
The role played by supply chain actors in the rapid development of groundwater-based irrigated agriculture is analyzed. Agricultural groundwater use has increased tremendously in the past 50 years, leading to the decline of water tables. Groundwater use has enabled intensification of existing farming systems and ensured economic growth. This "groundwater economy" has been growing rapidly due to the initiative of farmers and the involvement of a wide range of supply chain actors, including suppliers of equipment, inputs retailers, and distributors of irrigated agricultural products. In North Africa, the actors in irrigated production chains often operate at the margin of public policies and are usually described as "informal", "unstructured", and as participating in "groundwater anarchy". This paper underlines the crucial role of supply chain actors in the development of groundwater irrigation, a role largely ignored by public policies and rarely studied. The analysis is based on three case studies in Morocco, Tunisia and Algeria, and focuses on the horticultural sub-sector, in particular on onions and tomatoes, which are irrigated high value crops. The study demonstrates that although supply chain actors are catalyzers of the expansion of groundwater irrigation, they could also become actors in adaptation to the declining water tables. Through their informal activities, they help reduce market risks, facilitate credit and access to subsidies, and disseminate innovation. The interest associated with making these actors visible to agricultural institutions is discussed, along with methods of getting them involved in the management of the resource on which they depend.
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Mirzoev, Tolib N; Green, Andrew; Van Kalliecharan, Ricky
2015-01-01
An adequate capacity of ministries of health (MOH) to develop and implement policies is essential. However, no frameworks were found assessing MOH capacity to conduct health policy processes within developing countries. This paper presents a conceptual framework for assessing MOH capacity to conduct policy processes based on a study from Tajikistan, a former Soviet republic where independence highlighted capacity challenges. The data collection for this qualitative study included in-depth interviews, document reviews and observations of policy events. Framework approach for analysis was used. The conceptual framework was informed by existing literature, guided the data collection and analysis, and was subsequently refined following insights from the study. The Tajik MOH capacity, while gradually improving, remains weak. There is poor recognition of wider contextual influences, ineffective leadership and governance as reflected in centralised decision-making, limited use of evidence, inadequate actors' participation and ineffective use of resources to conduct policy processes. However, the question is whether this is a reflection of lack of MOH ability or evidence of constraining environment or both. The conceptual framework identifies five determinants of robust policy processes, each with specific capacity needs: policy context, MOH leadership and governance, involvement of policy actors, the role of evidence and effective resource use for policy processes. Three underlying considerations are important for applying the capacity to policy processes: the need for clear focus, recognition of capacity levels and elements, and both ability and enabling environment. The proposed framework can be used in assessing and strengthening of the capacity of different policy actors. Copyright © 2013 John Wiley & Sons, Ltd.
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Shoham, David A; Tong, Liping; Lamberson, Peter J; Auchincloss, Amy H; Zhang, Jun; Dugas, Lara; Kaufman, Jay S; Cooper, Richard S; Luke, Amy
2012-01-01
Recent studies suggest that obesity may be "contagious" between individuals in social networks. Social contagion (influence), however, may not be identifiable using traditional statistical approaches because they cannot distinguish contagion from homophily (the propensity for individuals to select friends who are similar to themselves) or from shared environmental influences. In this paper, we apply the stochastic actor-based model (SABM) framework developed by Snijders and colleagues to data on adolescent body mass index (BMI), screen time, and playing active sports. Our primary hypothesis was that social influences on adolescent body size and related behaviors are independent of friend selection. Employing the SABM, we simultaneously modeled network dynamics (friendship selection based on homophily and structural characteristics of the network) and social influence. We focused on the 2 largest schools in the National Longitudinal Study of Adolescent Health (Add Health) and held the school environment constant by examining the 2 school networks separately (N = 624 and 1151). Results show support in both schools for homophily on BMI, but also for social influence on BMI. There was no evidence of homophily on screen time in either school, while only one of the schools showed homophily on playing active sports. There was, however, evidence of social influence on screen time in one of the schools, and playing active sports in both schools. These results suggest that both homophily and social influence are important in understanding patterns of adolescent obesity. Intervention efforts should take into consideration peers' influence on one another, rather than treating "high risk" adolescents in isolation.
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The Macro- and Micropolitics of Personnel Evaluation: A Framework.
ERIC Educational Resources Information Center
Bridges, Edwin M.; Groves, Barry R.
1999-01-01
Explicates a conceptual framework for analyzing the politics of personnel evaluation in an educational context. Using several elements of the framework, discusses the politics of teacher evaluation in California in relation to the types of personnel evaluation decisions, the actors, their access to these decisions, sources and levels of power, and…
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ACToR: Aggregated Computational Toxicology Resource (T)
The EPA Aggregated Computational Toxicology Resource (ACToR) is a set of databases compiling information on chemicals in the environment from a large number of public and in-house EPA sources. ACToR has 3 main goals: (1) The serve as a repository of public toxicology information ...
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Zhang, Ying; Wang, Jun; Hao, Guan
2018-01-08
With the development of autonomous unmanned intelligent systems, such as the unmanned boats, unmanned planes and autonomous underwater vehicles, studies on Wireless Sensor-Actor Networks (WSANs) have attracted more attention. Network connectivity algorithms play an important role in data exchange, collaborative detection and information fusion. Due to the harsh application environment, abnormal nodes often appear, and the network connectivity will be prone to be lost. Network self-healing mechanisms have become critical for these systems. In order to decrease the movement overhead of the sensor-actor nodes, an autonomous connectivity restoration algorithm based on finite state machine is proposed. The idea is to identify whether a node is a critical node by using a finite state machine, and update the connected dominating set in a timely way. If an abnormal node is a critical node, the nearest non-critical node will be relocated to replace the abnormal node. In the case of multiple node abnormality, a regional network restoration algorithm is introduced. It is designed to reduce the overhead of node movements while restoration happens. Simulation results indicate the proposed algorithm has better performance on the total moving distance and the number of total relocated nodes compared with some other representative restoration algorithms.
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Zhang, Ying; Wang, Jun; Hao, Guan
2018-01-01
With the development of autonomous unmanned intelligent systems, such as the unmanned boats, unmanned planes and autonomous underwater vehicles, studies on Wireless Sensor-Actor Networks (WSANs) have attracted more attention. Network connectivity algorithms play an important role in data exchange, collaborative detection and information fusion. Due to the harsh application environment, abnormal nodes often appear, and the network connectivity will be prone to be lost. Network self-healing mechanisms have become critical for these systems. In order to decrease the movement overhead of the sensor-actor nodes, an autonomous connectivity restoration algorithm based on finite state machine is proposed. The idea is to identify whether a node is a critical node by using a finite state machine, and update the connected dominating set in a timely way. If an abnormal node is a critical node, the nearest non-critical node will be relocated to replace the abnormal node. In the case of multiple node abnormality, a regional network restoration algorithm is introduced. It is designed to reduce the overhead of node movements while restoration happens. Simulation results indicate the proposed algorithm has better performance on the total moving distance and the number of total relocated nodes compared with some other representative restoration algorithms. PMID:29316702
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Imran, Muhammad; Zafar, Nazir Ahmad
2012-01-01
Maintaining inter-actor connectivity is extremely crucial in mission-critical applications of Wireless Sensor and Actor Networks (WSANs), as actors have to quickly plan optimal coordinated responses to detected events. Failure of a critical actor partitions the inter-actor network into disjoint segments besides leaving a coverage hole, and thus hinders the network operation. This paper presents a Partitioning detection and Connectivity Restoration (PCR) algorithm to tolerate critical actor failure. As part of pre-failure planning, PCR determines critical/non-critical actors based on localized information and designates each critical node with an appropriate backup (preferably non-critical). The pre-designated backup detects the failure of its primary actor and initiates a post-failure recovery process that may involve coordinated multi-actor relocation. To prove the correctness, we construct a formal specification of PCR using Z notation. We model WSAN topology as a dynamic graph and transform PCR to corresponding formal specification using Z notation. Formal specification is analyzed and validated using the Z Eves tool. Moreover, we simulate the specification to quantitatively analyze the efficiency of PCR. Simulation results confirm the effectiveness of PCR and the results shown that it outperforms contemporary schemes found in the literature.
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Lutz, Philipp
2017-01-01
The effectiveness of immigrant integration policies has gained considerable attention across Western democracies dealing with ethnically and culturally diverse societies. However, the findings on what type of policy produces more favourable integration outcomes remain inconclusive. The conflation of normative and analytical assumptions on integration is a major challenge for causal analysis of integration policies. This article applies actor-centered institutionalism as a new framework for the analysis of immigrant integration outcomes in order to separate two different mechanisms of policy intervention. Conceptualising integration outcomes as a function of capabilities and aspirations allows separating assumptions on the policy intervention in assimilation and multiculturalism as the two main types of policy approaches. The article illustrates that assimilation is an incentive-based policy and primarily designed to increase immigrants' aspirations, whereas multiculturalism is an opportunity-based policy and primarily designed to increase immigrants' capabilities. Conceptualising causal mechanisms of policy intervention clarifies the link between normative concepts of immigrant integration and analytical concepts of policy effectiveness.
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2014-01-01
Background Intimate partner violence (IPV) and coercion have been associated with negative health outcomes, including increased HIV risk behaviors, among men who have sex with men (MSM). This is the first study to describe the prevalence and factors associated with experiencing IPV or coercion among US MSM dyads using the actor-partner interdependence model (APIM), an analytic framework to describe interdependent outcomes within dyads. Methods Among MSM couples enrolled as dyads in an HIV prevention randomized controlled trial (RCT), two outcomes are examined in this cross-sectional analysis: 1) the actor experiencing physical or sexual IPV from the study partner in the past 3-months and 2) the actor feeling coerced to participate in the RCT by the study partner. Two multilevel APIM logistic regression models evaluated the association between each outcome and actor, partner, and dyad-level factors. Results Of 190 individuals (95 MSM couples), 14 reported experiencing physical or sexual IPV from their study partner in the past 3 months (7.3%) and 12 reported feeling coerced to participate in the RCT by their study partner (6.3%). Results of multivariate APIM analyses indicated that reporting experienced IPV was associated (p < 0.1) with non-Black/African American actor race, lower actor education, and lower partner education. Reporting experienced coercion was associated (p < 0.1) with younger actor age and lower partner education. Conclusions These findings from an HIV prevention RCT for MSM show considerable levels of IPV experienced in the past 3-months and coercion to participate in the research study, indicating the need for screening tools and support services for these behaviors. The identification of factors associated with IPV and coercion demonstrate the importance of considering actor and partner effects, as well as dyadic-level effects, to improve development of screening tools and support services for these outcomes. PMID:24580732
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ACToR - Aggregated Computational Toxicology Resource
DOE Office of Scientific and Technical Information (OSTI.GOV)
Judson, Richard; Richard, Ann; Dix, David
2008-11-15
ACToR (Aggregated Computational Toxicology Resource) is a database and set of software applications that bring into one central location many types and sources of data on environmental chemicals. Currently, the ACToR chemical database contains information on chemical structure, in vitro bioassays and in vivo toxicology assays derived from more than 150 sources including the U.S. Environmental Protection Agency (EPA), Centers for Disease Control (CDC), U.S. Food and Drug Administration (FDA), National Institutes of Health (NIH), state agencies, corresponding government agencies in Canada, Europe and Japan, universities, the World Health Organization (WHO) and non-governmental organizations (NGOs). At the EPA National Centermore » for Computational Toxicology, ACToR helps manage large data sets being used in a high-throughput environmental chemical screening and prioritization program called ToxCast{sup TM}.« less
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R. McManamay; D. Orth; C. Dolloff; E. Frimpong
2011-01-01
Regional frameworks have been used extensively in recent years to aid in broad-scale management. Widely used landscape-based regional frameworks, such as hydrologic landscape regions (HLRs) and physiographic provinces, may provide predictive tools of hydrologic variability. However, hydrologic-based regional frameworks, created using only streamflow data, are also...
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Barasa, Edwine W; Cleary, Susan; English, Mike; Molyneux, Sassy
2016-09-30
Priority setting and resource allocation in healthcare organizations often involves the balancing of competing interests and values in the context of hierarchical and politically complex settings with multiple interacting actor relationships. Despite this, few studies have examined the influence of actor and power dynamics on priority setting practices in healthcare organizations. This paper examines the influence of power relations among different actors on the implementation of priority setting and resource allocation processes in public hospitals in Kenya. We used a qualitative case study approach to examine priority setting and resource allocation practices in two public hospitals in coastal Kenya. We collected data by a combination of in-depth interviews of national level policy makers, hospital managers, and frontline practitioners in the case study hospitals (n = 72), review of documents such as hospital plans and budgets, minutes of meetings and accounting records, and non-participant observations in case study hospitals over a period of 7 months. We applied a combination of two frameworks, Norman Long's actor interface analysis and VeneKlasen and Miller's expressions of power framework to examine and interpret our findings RESULTS: The interactions of actors in the case study hospitals resulted in socially constructed interfaces between: 1) senior managers and middle level managers 2) non-clinical managers and clinicians, and 3) hospital managers and the community. Power imbalances resulted in the exclusion of middle level managers (in one of the hospitals) and clinicians and the community (in both hospitals) from decision making processes. This resulted in, amongst others, perceptions of unfairness, and reduced motivation in hospital staff. It also puts to question the legitimacy of priority setting processes in these hospitals. Designing hospital decision making structures to strengthen participation and inclusion of relevant stakeholders could
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An Actor-Critic based controller for glucose regulation in type 1 diabetes.
Daskalaki, Elena; Diem, Peter; Mougiakakou, Stavroula G
2013-02-01
A novel adaptive approach for glucose control in individuals with type 1 diabetes under sensor-augmented pump therapy is proposed. The controller, is based on Actor-Critic (AC) learning and is inspired by the principles of reinforcement learning and optimal control theory. The main characteristics of the proposed controller are (i) simultaneous adjustment of both the insulin basal rate and the bolus dose, (ii) initialization based on clinical procedures, and (iii) real-time personalization. The effectiveness of the proposed algorithm in terms of glycemic control has been investigated in silico in adults, adolescents and children under open-loop and closed-loop approaches, using announced meals with uncertainties in the order of ±25% in the estimation of carbohydrates. The results show that glucose regulation is efficient in all three groups of patients, even with uncertainties in the level of carbohydrates in the meal. The percentages in the A+B zones of the Control Variability Grid Analysis (CVGA) were 100% for adults, and 93% for both adolescents and children. The AC based controller seems to be a promising approach for the automatic adjustment of insulin infusion in order to improve glycemic control. After optimization of the algorithm, the controller will be tested in a clinical trial. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
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Recollection and unitization in associating actors with extrinsic and intrinsic motions.
Kersten, Alan W; Earles, Julie L; Berger, Johanna D
2015-04-01
Four experiments provide evidence for a distinction between 2 different kinds of motion representations. Extrinsic motions involve the path of an object with respect to an external frame of reference. Intrinsic motions involve the relative motions of the parts of an object. This research suggests that intrinsic motions are represented conjointly with information about the identities of the actors who perform them, whereas extrinsic motions are represented separately from identity information. Experiment 1 demonstrated that participants remembered which actor had performed a particular intrinsic motion better than they remembered which actor had performed a particular extrinsic motion. Experiment 2 replicated this effect with incidental encoding of actor information, suggesting that encoding intrinsic motions leads one to automatically encode identity information. The results of Experiments 3 and 4 were fit by Yonelinas's (1999) source-memory model to quantify the contributions of familiarity and recollection to memory for the actors who carried out the intrinsic and extrinsic motions. Successful performance with extrinsic motion items in Experiment 3 required participants to remember in which scene contexts an actor had appeared, whereas successful performance in Experiment 4 required participants to remember the exact path taken by an actor in each scene. In both experiments, discrimination of old and new combinations of actors and extrinsic motions relied strongly on recollection, suggesting independent but associated representations of actors and extrinsic motions. In contrast, participants discriminated old and new combinations of actors and intrinsic motions primarily on the basis of familiarity, suggesting unitized representations of actors and intrinsic motions. (c) 2015 APA, all rights reserved).
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A policy framework for accelerating adoption of new vaccines
Hajjeh, Rana; Wecker, John; Cherian, Thomas; O'Brien, Katherine L; Knoll, Maria Deloria; Privor-Dumm, Lois; Kvist, Hans; Nanni, Angeline; Bear, Allyson P; Santosham, Mathuram
2010-01-01
Rapid uptake of new vaccines can improve health and wealth and contribute to meeting Millennium Development Goals. In the past, however, the introduction and use of new vaccines has been characterized by delayed uptake in the countries where the need is greatest. Based on experience with accelerating the adoption of Hib, pneumococcal and rotavirus vaccines, we propose here a framework for new vaccine adoption that may be useful for future efforts. The framework organizes the major steps in the process into a continuum from evidence to policy, implementation and finally access. It highlights the important roles of different actors at various times in the process and may allow new vaccine initiatives to save time and improve their efficiency by anticipating key steps and actions. PMID:21150269
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A policy framework for accelerating adoption of new vaccines.
Levine, Orin S; Hajjeh, Rana; Wecker, John; Cherian, Thomas; O'Brien, Katherine L; Knoll, Maria Deloria; Privor-Dumm, Lois; Kvist, Hans; Nanni, Angeline; Bear, Allyson P; Santosham, Mathuram
2010-12-01
Rapid uptake of new vaccines can improve health and wealth and contribute to meeting Millennium Development Goals. In the past, however, the introduction and use of new vaccines has been characterized by delayed uptake in the countries where the need is greatest. Based on experience with accelerating the adoption of Hib, pneumococcal and rotavirus vaccines, we propose here a framework for new vaccine adoption that may be useful for future efforts. The framework organizes the major steps in the process into a continuum from evidence to policy, implementation and finally access. It highlights the important roles of different actors at various times in the process and may allow new vaccine initiatives to save time and improve their efficiency by anticipating key steps and actions.
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Path scheduling for multiple mobile actors in wireless sensor network
NASA Astrophysics Data System (ADS)
Trapasiya, Samir D.; Soni, Himanshu B.
2017-05-01
In wireless sensor network (WSN), energy is the main constraint. In this work we have addressed this issue for single as well as multiple mobile sensor actor network. In this work, we have proposed Rendezvous Point Selection Scheme (RPSS) in which Rendezvous Nodes are selected by set covering problem approach and from that, Rendezvous Points are selected in a way to reduce the tour length. The mobile actors tour is scheduled to pass through those Rendezvous Points as per Travelling Salesman Problem (TSP). We have also proposed novel rendezvous node rotation scheme for fair utilisation of all the nodes. We have compared RPSS with Stationery Actor scheme as well as RD-VT, RD-VT-SMT and WRP-SMT for performance metrics like energy consumption, network lifetime, route length and found the better outcome in all the cases for single actor. We have also applied RPSS for multiple mobile actor case like Multi-Actor Single Depot (MASD) termination and Multi-Actor Multiple Depot (MAMD) termination and observed by extensive simulation that MAMD saves the network energy in optimised way and enhance network lifetime compared to all other schemes.
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ACToR – Aggregated Computational Toxicology Resource ...
This presentation reviews the US EPAs reaction to the challenge of the NRC on the future of toxicity testing through the development of the ACTor Project and the ToxRef database. This presentation reviews the US EPAs reaction to the challenge of the NRC on the future of toxicity testing through the development of the ACTor Project and the ToxRef database.
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McDougall, A.; Goldszmidt, M.; Kinsella, E.A.; Smith, S.; Lingard, L.
2017-01-01
Despite calls for more interprofessional and intraprofessional team-based approaches in healthcare, we lack sufficient understanding of how this happens in the context of patient care teams. This multi-perspective, team-based interview study examined how medical teams negotiated collaborative tensions. From 2011 to 2013, 50 patients across five sites in three Canadian provinces were interviewed about their care experiences and were asked to identify members of their health care teams. Patient-identified team members were subsequently interviewed to form 50 “Team Sampling Units” (TSUs), consisting of 209 interviews with patients, caregivers and healthcare providers. Results are gathered from a focused analysis of 13 TSUs where intraprofessional collaborative tensions involved treating fluid overload, or edema, a common HF symptom. Drawing on actor-network theory (ANT), the analysis focused on intraprofessional collaboration between specialty care teams in cardiology and nephrology. The study found that despite a shared narrative of common purpose between cardiology teams and nephrology teams, fluid management tools and techniques formed sites of collaborative tension. In particular, care activities involved asynchronous clinical interpretations, geographically distributed specialist care, fragmented forms of communication, and uncertainty due to clinical complexity. Teams ‘disentangled’ fluid in order to focus on its physiological function and mobilisation. Teams also used distinct ‘framings’ of fluid management that created perceived collaborative tensions. This study advances collaborative entanglement as a conceptual framework for understanding, teaching, and potentially ameliorating some of the tensions that manifest during intraprofessional care for patients with complex, chronic disease. PMID:27490299
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ACToR: Aggregated Computational Toxicology Resource (T) ...
The EPA Aggregated Computational Toxicology Resource (ACToR) is a set of databases compiling information on chemicals in the environment from a large number of public and in-house EPA sources. ACToR has 3 main goals: (1) The serve as a repository of public toxicology information on chemicals of interest to the EPA, and in particular to be a central source for the testing data on all chemicals regulated by all EPA programs; (2) To be a source of in vivo training data sets for building in vitro to in vivo computational models; (3) To serve as a central source of chemical structure and identity information for the ToxCastTM and Tox21 programs. There are 4 main databases, all linked through a common set of chemical information and a common structure linking chemicals to assay data: the public ACToR system (available at http://actor.epa.gov), the ToxMiner database holding ToxCast and Tox21 data, along with results form statistical analyses on these data; the Tox21 chemical repository which is managing the ordering and sample tracking process for the larger Tox21 project; and the public version of ToxRefDB. The public ACToR system contains information on ~500K compounds with toxicology, exposure and chemical property information from >400 public sources. The web site is visited by ~1,000 unique users per month and generates ~1,000 page requests per day on average. The databases are built on open source technology, which has allowed us to export them to a number of col
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[Singing formant analysis of KunQu actors in their mutation and grown-up].
Zhu, Mei; Zhang, Dao-Xing; Liu, Yong-Xiang; Yang, Xiao-ju
2005-04-01
To compare the singing formant differences between successful opera actors and non-successful opera actors during their adolescence period, and to compare the same index between adolescence and adult period of successful actors. From 1985 to 1986, the author had 21 adolescent actors' voice recorded, all of them were from Beijing KunQu opera troupe. In 2000, all the 21 subjects had their voice recorded and singing formant (Fs) analyzed by using computer and sound spectrograph, 7 of them had become adult actors, others quitted their actors career after adolescents period. Successful actors have obvious Fs, and stronger acoustic energy; successful actors had weaker Fs value during adolescence period than during adult period (t = 2. 9600, P < 0.05). Fs's presence and its acoustic energy were important to evaluate adolescent actors future locality potential.
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Body height and occupational success for actors and actresses.
Stieger, Stefan; Burger, Christoph
2010-08-01
The association of body height with occupational success has been frequently studied, with previous research mainly finding a positive effect among men and positive or null effects among women. Occupational success has almost exclusively been measured so far by short-term success variables (e.g., annual income). In the present study, the relationship of success and height was examined in a group of actors and actresses using a large online database about movies (Internet Movie Database) where heights of actors and actresses are stated. The number of roles played in movies and television series during each actor's lifetime was used as a measure of long-term occupational success. No height effect was found for male actors but a significant negative effect was found for actresses, even after controlling for possible confounding influences (age and birth year). Compared to the general population, actors and actresses were significantly taller; however, actresses who were shorter than average were more likely to achieve greater occupational success, in terms of being featured in more movies.
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The moral sense of humanitarian actors: an empirical exploration.
Rességuier, Anaïs
2018-01-01
This paper examines humanitarianism's moral positioning above private and political interests to save lives and alleviate suffering. It does not aim to assess the legitimacy of this stance, but rather to probe the way in which humanitarian actors relate to this moral dimension in their everyday work. It investigates empirically humanitarian ethics from the perspective of humanitarian actors, drawing on interviews conducted in Beirut, Lebanon, in 2014. As it is exploratory, three key conceptual innovations were required. The first of these is the introduction of the tools developed to consider a neglected reality: humanitarian actors' 'moral sense' vis-à-vis the humanitarian sector's 'moral culture'. Second, the study shows how the sector's moral culture is structured around the notion of 'concern for persons in need'. Third, it analyses the way in which the sector and its actors handle the asymmetrical relationships encountered daily. Ultimately this paper seeks to valorise humanitarian actors' creativity in their common practices and explore potential challenges to it. © 2018 The Author(s). Disasters © Overseas Development Institute, 2018.
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Prins, Noeline W.; Sanchez, Justin C.; Prasad, Abhishek
2014-01-01
Brain-Machine Interfaces (BMIs) can be used to restore function in people living with paralysis. Current BMIs require extensive calibration that increase the set-up times and external inputs for decoder training that may be difficult to produce in paralyzed individuals. Both these factors have presented challenges in transitioning the technology from research environments to activities of daily living (ADL). For BMIs to be seamlessly used in ADL, these issues should be handled with minimal external input thus reducing the need for a technician/caregiver to calibrate the system. Reinforcement Learning (RL) based BMIs are a good tool to be used when there is no external training signal and can provide an adaptive modality to train BMI decoders. However, RL based BMIs are sensitive to the feedback provided to adapt the BMI. In actor-critic BMIs, this feedback is provided by the critic and the overall system performance is limited by the critic accuracy. In this work, we developed an adaptive BMI that could handle inaccuracies in the critic feedback in an effort to produce more accurate RL based BMIs. We developed a confidence measure, which indicated how appropriate the feedback is for updating the decoding parameters of the actor. The results show that with the new update formulation, the critic accuracy is no longer a limiting factor for the overall performance. We tested and validated the system onthree different data sets: synthetic data generated by an Izhikevich neural spiking model, synthetic data with a Gaussian noise distribution, and data collected from a non-human primate engaged in a reaching task. All results indicated that the system with the critic confidence built in always outperformed the system without the critic confidence. Results of this study suggest the potential application of the technique in developing an autonomous BMI that does not need an external signal for training or extensive calibration. PMID:24904257
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Actor-specific contributions to the deforestation slowdown in the Brazilian Amazon.
Godar, Javier; Gardner, Toby A; Tizado, E Jorge; Pacheco, Pablo
2014-10-28
Annual deforestation rates in the Brazilian Amazon fell by 77% between 2004 and 2011, yet have stabilized since 2009 at 5,000-7,000 km(2). We provide the first submunicipality assessment, to our knowledge, of actor-specific contributions to the deforestation slowdown by linking agricultural census and remote-sensing data on deforestation and forest degradation. Almost half (36,158 km(2)) of the deforestation between 2004 and 2011 occurred in areas dominated by larger properties (>500 ha), whereas only 12% (9,720 km(2)) occurred in areas dominated by smallholder properties (<100 ha). In addition, forests in areas dominated by smallholders tend to be less fragmented and less degraded. However, although annual deforestation rates fell during this period by 68-85% for all actors, the contribution of the largest landholders (>2,500 ha) to annual deforestation decreased over time (63% decrease between 2005 and 2011), whereas that of smallholders went up by a similar amount (69%) during the same period. In addition, the deforestation share attributable to remote areas increased by 88% between 2009 and 2011. These observations are consistent across the Brazilian Amazon, regardless of geographical differences in actor dominance or socioenvironmental context. Our findings suggest that deforestation policies to date, which have been particularly focused on command and control measures on larger properties in deforestation hotspots, may be increasingly limited in their effectiveness and fail to address all actors equally. Further reductions in deforestation are likely to be increasingly costly and require actor-tailored approaches, including better monitoring to detect small-scale deforestation and a shift toward more incentive-based conservation policies.
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Actor-specific contributions to the deforestation slowdown in the Brazilian Amazon
Godar, Javier; Gardner, Toby A.; Tizado, E. Jorge
2014-01-01
Annual deforestation rates in the Brazilian Amazon fell by 77% between 2004 and 2011, yet have stabilized since 2009 at 5,000–7,000 km2. We provide the first submunicipality assessment, to our knowledge, of actor-specific contributions to the deforestation slowdown by linking agricultural census and remote-sensing data on deforestation and forest degradation. Almost half (36,158 km2) of the deforestation between 2004 and 2011 occurred in areas dominated by larger properties (>500 ha), whereas only 12% (9,720 km2) occurred in areas dominated by smallholder properties (<100 ha). In addition, forests in areas dominated by smallholders tend to be less fragmented and less degraded. However, although annual deforestation rates fell during this period by 68–85% for all actors, the contribution of the largest landholders (>2,500 ha) to annual deforestation decreased over time (63% decrease between 2005 and 2011), whereas that of smallholders went up by a similar amount (69%) during the same period. In addition, the deforestation share attributable to remote areas increased by 88% between 2009 and 2011. These observations are consistent across the Brazilian Amazon, regardless of geographical differences in actor dominance or socioenvironmental context. Our findings suggest that deforestation policies to date, which have been particularly focused on command and control measures on larger properties in deforestation hotspots, may be increasingly limited in their effectiveness and fail to address all actors equally. Further reductions in deforestation are likely to be increasingly costly and require actor-tailored approaches, including better monitoring to detect small-scale deforestation and a shift toward more incentive-based conservation policies. PMID:25313087
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Mavrou, Katerina; Hoogerwerf, Evert-Jan; Meletiou-Mavrotheris, Maria; Kärki, Anne; Sallinen, Merja
2015-01-01
This paper provides an overview of the construction of a conceptual framework regarding ICT-Assistive Technology (ICT-AT) competence development, designed to gain awareness of the elements involved and to facilitate the understanding and exchange among stakeholders of the ENTELIS (European Network for Technology Enhanced Learning in an Inclusive Society) project. The framework was designed based on the basic principles of Activity Theory, which however have been adapted and adjusted to the project's objectives. Hence, it includes a map of actors and other parameters functioning in a person surrounding "ecosystem", and it allows us to understand and map roles, expectations, barriers, as well as to devise solutions to tackle digital divide. Taking as a starting and central point the person and his/her wish to self-determination and fulfilment (quality of life) and the related needs, it provides a map of how the various concepts and variables interact within the theoretical and methodological perspective of the collection, description and assessment of experiences in ICT-AT education and competences development of persons with disabilities (PwD) of all ages. The conceptual framework represents two interacting learning activity systems: (a) the internal system of the end-user, which includes the end-user and his/her needs, the setting where learning takes place and the other actors involved, and (b) the external system, which embraces the internal system but also wider issues of policy and practice and experiences and 'actors' that contribute to the development and use of ICT and ICT-AT skills in all areas of life. The elements of these systems and their interaction provide the basis for analysing experiences and advancing knowledge relevant for bridging the digital divide.
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ERIC Educational Resources Information Center
Mishra, Punya
2006-01-01
We report an experimental study that examined two questions: (a) The effect of affective feedback from computers on participants' motivation and self-perception of ability; and (b) whether people respond similarly to computer feedback as they do to human feedback. This study, framed within the Computers As Social Actors (CASA) framework,…
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Houngbo, P. Thierry; De Cock Buning, Tjard; Bunders, Joske; Coleman, Harry L. S.; Medenou, Daton; Dakpanon, Laurent; Zweekhorst, Marjolein
2017-01-01
Background: Low-income countries face many contextual challenges to manage healthcare technologies effectively, as the majority are imported and resources are constrained to a greater extent. Previous healthcare technology management (HTM) policies in Benin have failed to produce better quality of care for the population and costeffectiveness for the government. This study aims to identify and assess the main problems facing HTM in Benin’s public health sector, as well as the ability of key actors within the sector to address these problems. Methods: We conducted 2 surveys in 117 selected health facilities. The first survey was based on 377 questionnaires and 259 interviews, and the second involved observation and group interviews at health facilities. The Temple-Bird Healthcare Technology Package System (TBHTPS), tailored to the context of Benin’s health system, was used as a conceptual framework. Results: The findings of the first survey show that 85% of key actors in Benin’s HTM sector characterized the system as failing in components of the TBHTPS framework. Biomedical, clinical, healthcare technology engineers and technicians perceived problems most severely, followed by users of equipment, managers and hospital directors, international organization officers, local and foreign suppliers, and finally policy-makers, planners and administrators at the Ministry of Health (MoH). The 5 most important challenges to be addressed are policy, strategic management and planning, and technology needs assessment and selection – categorized as major enabling inputs (MEI) in HTM by the TBHTPS framework – and installation and commissioning, training and skill development and procurement, which are import and use activities (IUA). The ability of each key actor to address these problems (the degree of political or administrative power they possess) was inversely proportional to their perception of the severity of the problems. Observational data gathered during site
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ACToR A Aggregated Computational Toxicology Resource ...
We are developing the ACToR system (Aggregated Computational Toxicology Resource) to serve as a repository for a variety of types of chemical, biological and toxicological data that can be used for predictive modeling of chemical toxicology. We are developing the ACToR system (Aggregated Computational Toxicology Resource) to serve as a repository for a variety of types of chemical, biological and toxicological data that can be used for predictive modeling of chemical toxicology.
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Influential Spheres: Examining Actors' Perceptions of Education Governance
ERIC Educational Resources Information Center
Thier, Michael; Smith, Joanna; Pitts, Christine; Anderson, Ross
2016-01-01
Many layers of education governance press upon U.S. schools, so we separated state actors into those internal to and those external to the system. In the process, we unpacked the traditional state-local dichotomy. Using interview data (n = 45) from six case-study states, we analyzed local leaders', state-internal actors', and state-external…
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Li, Cai; Lowe, Robert; Ziemke, Tom
2014-01-01
In this article, we propose an architecture of a bio-inspired controller that addresses the problem of learning different locomotion gaits for different robot morphologies. The modeling objective is split into two: baseline motion modeling and dynamics adaptation. Baseline motion modeling aims to achieve fundamental functions of a certain type of locomotion and dynamics adaptation provides a "reshaping" function for adapting the baseline motion to desired motion. Based on this assumption, a three-layer architecture is developed using central pattern generators (CPGs, a bio-inspired locomotor center for the baseline motion) and dynamic motor primitives (DMPs, a model with universal "reshaping" functions). In this article, we use this architecture with the actor-critic algorithms for finding a good "reshaping" function. In order to demonstrate the learning power of the actor-critic based architecture, we tested it on two experiments: (1) learning to crawl on a humanoid and, (2) learning to gallop on a puppy robot. Two types of actor-critic algorithms (policy search and policy gradient) are compared in order to evaluate the advantages and disadvantages of different actor-critic based learning algorithms for different morphologies. Finally, based on the analysis of the experimental results, a generic view/architecture for locomotion learning is discussed in the conclusion.
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Li, Cai; Lowe, Robert; Ziemke, Tom
2014-01-01
In this article, we propose an architecture of a bio-inspired controller that addresses the problem of learning different locomotion gaits for different robot morphologies. The modeling objective is split into two: baseline motion modeling and dynamics adaptation. Baseline motion modeling aims to achieve fundamental functions of a certain type of locomotion and dynamics adaptation provides a “reshaping” function for adapting the baseline motion to desired motion. Based on this assumption, a three-layer architecture is developed using central pattern generators (CPGs, a bio-inspired locomotor center for the baseline motion) and dynamic motor primitives (DMPs, a model with universal “reshaping” functions). In this article, we use this architecture with the actor-critic algorithms for finding a good “reshaping” function. In order to demonstrate the learning power of the actor-critic based architecture, we tested it on two experiments: (1) learning to crawl on a humanoid and, (2) learning to gallop on a puppy robot. Two types of actor-critic algorithms (policy search and policy gradient) are compared in order to evaluate the advantages and disadvantages of different actor-critic based learning algorithms for different morphologies. Finally, based on the analysis of the experimental results, a generic view/architecture for locomotion learning is discussed in the conclusion. PMID:25324773
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A Framework for Creating Value from Fleet Data at Ecosystem Level
NASA Astrophysics Data System (ADS)
Kinnunen, Sini-Kaisu; Hanski, Jyri; Marttonen-Arola, Salla; Kärri, Timo
2017-09-01
As companies have recently gotten more interested in utilizing the increasingly gathered data and realizing the potential of data analysis, the ability to upgrade data into value for business has been recognized as an advantage. Companies gain competitive advantage if they are able to benefit from the fleet data that is produced both in and outside the boundaries of the company. Benefits of fleet management are based on the possibility to have access to the massive amounts of asset data that can then be utilized e.g. to gain cost savings and to develop products and services. The ambition of the companies is to create value from fleet data but this requires that different actors in ecosystem are working together for a common goal - to get the most value out of fleet data for the ecosystem. In order that this could be possible, we need a framework to meet the requirements of the fleet life-cycle data utilization. This means that the different actors in the ecosystem need to understand their role in the fleet data refining process in order to promote the value creation from fleet data. The objective of this paper is to develop a framework for knowledge management in order to create value from fleet data in ecosystems. As a result, we present a conceptual framework which helps companies to develop their asset management practices related to the fleet of assets.
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NASA Astrophysics Data System (ADS)
Anku, Sitsofe E.
1997-09-01
Using the reform documents of the National Council of Teachers of Mathematics (NCTM) (NCTM, 1989, 1991, 1995), a theory-based multi-dimensional assessment framework (the "SEA" framework) which should help expand the scope of assessment in mathematics is proposed. This framework uses a context based on mathematical reasoning and has components that comprise mathematical concepts, mathematical procedures, mathematical communication, mathematical problem solving, and mathematical disposition.
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Postdecisional counterfactual thinking by actors and readers.
Girotto, Vittorio; Ferrante, Donatella; Pighin, Stefania; Gonzalez, Michel
2007-06-01
How do individuals think counterfactually about the outcomes of their decisions? Most previous studies have investigated how readers think about fictional stories, rather than how actors think about events they have actually experienced. We assumed that differences in individuals' roles (actor vs. reader) can make different information available, which in turn can affect counterfactual thinking. Hence, we predicted an effect of role on postdecisional counterfactual thinking. Reporting the results of eight studies, we show that readers undo the negative outcome of a story by undoing the protagonist's choice to tackle a given problem, rather than the protagonist's unsuccessful attempt to solve it. But actors who make the same choice and experience the same negative outcome as the protagonist undo this outcome by altering features of the problem. We also show that this effect does not depend on motivational factors. These results contradict current accounts of counterfactual thinking and demonstrate the necessity of investigating the counterfactual thoughts of individuals in varied roles.
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Construal level and free will beliefs shape perceptions of actors' proximal and distal intent
Plaks, Jason E.; Robinson, Jeffrey S.
2015-01-01
Two components of lay observers' calculus of moral judgment are proximal intent (the actor's mind is focused on performing the action) and distal intent (the actor's mind is focused on the broader goal). What causes observers to prioritize one form of intent over the other? The authors observed whether construal level (Studies 1–2) and beliefs about free will (Studies 3–4) would influence participants' sensitivity to the actor's proximal vs. distal intent. In four studies, participants read scenarios in which the actor's proximal and distal intent were independently manipulated. In Study 1, when only distal intent was present in the actor's mind, participants rated the psychologically distant actor more responsible than the psychologically near actor. In Study 2, when only distal intent was in the actor's mind, participants with a chronic high level of action identification rated the actor more responsible than did those with a low level of action identification. In both studies, when only proximal intent was in the actor's mind, construal level did not predict judgments of responsibility. In Study 3, when only proximal intent was present in the actor's mind, the more participants believed in free will, the more they rated the actor responsible. When only distal intent was in the actor's mind, free will belief did not influence ratings of responsibility. In Study 4, the same pattern emerged when free will/determinism beliefs were manipulated and the actor performed a positive (life-saving) act. The authors discuss how these results shed new light on the literatures on moral reasoning and psycho-legal theory. PMID:26106352
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Balancing influence between actors in healthcare decision making.
Kaplan, Robert M; Babad, Yair M
2011-04-19
Healthcare costs in most developed countries are not clearly linked to better patient and public health outcomes, but are rather associated with service delivery orientation. In the U.S. this has resulted in large variation in healthcare availability and use, increased cost, reduced employer participation in health insurance programs, and reduced overall population health outcomes. Recent U.S. healthcare reform legislation addresses only some of these issues. Other countries face similar healthcare issues. A major goal of healthcare is to enhance patient health outcomes. This objective is not realized in many countries because incentives and structures are currently not aligned for maximizing population health. The misalignment occurs because of the competing interests between "actors" in healthcare. In a simplified model these are individuals motivated to enhance their own health; enterprises (including a mix of nonprofit, for profit and government providers, payers, and suppliers, etc.) motivated by profit, political, organizational and other forces; and government which often acts in the conflicting roles of a healthcare payer and provider in addition to its role as the representative and protector of the people. An imbalance exists between the actors, due to the resources and information control of the enterprise and government actors relative to the individual and the public. Failure to use effective preventive interventions is perhaps the best example of the misalignment of incentives. We consider the current Pareto efficient balance between the actors in relation to the Pareto frontier, and show that a significant change in the healthcare market requires major changes in the utilities of the enterprise and government actors. A variety of actions are necessary for maximizing population health within the constraints of available resources and the current balance between the actors. These actions include improved transparency of all aspects of medical decision
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Balancing influence between actors in healthcare decision making
2011-01-01
Background Healthcare costs in most developed countries are not clearly linked to better patient and public health outcomes, but are rather associated with service delivery orientation. In the U.S. this has resulted in large variation in healthcare availability and use, increased cost, reduced employer participation in health insurance programs, and reduced overall population health outcomes. Recent U.S. healthcare reform legislation addresses only some of these issues. Other countries face similar healthcare issues. Discussion A major goal of healthcare is to enhance patient health outcomes. This objective is not realized in many countries because incentives and structures are currently not aligned for maximizing population health. The misalignment occurs because of the competing interests between "actors" in healthcare. In a simplified model these are individuals motivated to enhance their own health; enterprises (including a mix of nonprofit, for profit and government providers, payers, and suppliers, etc.) motivated by profit, political, organizational and other forces; and government which often acts in the conflicting roles of a healthcare payer and provider in addition to its role as the representative and protector of the people. An imbalance exists between the actors, due to the resources and information control of the enterprise and government actors relative to the individual and the public. Failure to use effective preventive interventions is perhaps the best example of the misalignment of incentives. We consider the current Pareto efficient balance between the actors in relation to the Pareto frontier, and show that a significant change in the healthcare market requires major changes in the utilities of the enterprise and government actors. Summary A variety of actions are necessary for maximizing population health within the constraints of available resources and the current balance between the actors. These actions include improved transparency of
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Transaction-Based Building Controls Framework, Volume 1: Reference Guide
DOE Office of Scientific and Technical Information (OSTI.GOV)
Somasundaram, Sriram; Pratt, Robert G.; Akyol, Bora A.
This document proposes a framework concept to achieve the objectives of raising buildings’ efficiency and energy savings potential benefitting building owners and operators. We call it a transaction-based framework, wherein mutually-beneficial and cost-effective market-based transactions can be enabled between multiple players across different domains. Transaction-based building controls are one part of the transactional energy framework. While these controls realize benefits by enabling automatic, market-based intra-building efficiency optimizations, the transactional energy framework provides similar benefits using the same market -based structure, yet on a larger scale and beyond just buildings, to the society at large.
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[Be in role. Examination of dissociative experiences of theatrical actors].
Docsa, Viktória Pálma; Szemán-Nagy, Anita
2012-01-01
In spite of the fact that acting makes great demands on the personality, there is lack of research dealing with the psychological status of actors. Resulted from their profession actors often experience dissociation, since absorption and changing of their identity is a routine task for them. They are acting on the stage, and they are acting in private. 36 theatrical actors completed the DISQ-H version of the Dissociation Questionnaire measuring four subscales: Identity Confusion, Amnesia, Loss of Control and Absorption. In order to understand their experiences deeper, nine actors were interviewed. The sample consisted of 21 men and 15 women and their ages ranged from 23 to 60. Higher ages implied longer career as an actor, thus the youngest subject had been working for 2 years, while the oldest one had been working for 39 years. DISQ-H total score results of the actors were significantly higher compared to the Hungarian standard scores. As we expected, the two non-pathological subscales (Loss of Control and Absorption) showed significant differences compared to the standard scores of the subscales. In the case of Identity Confusion subscale we found no significant differences, however the results indicate that the tendency observed emphasizes the importance of further research of this phenomenon. To sum up, dissociative experiences proved to be important elements of acting.
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Crane, Cory A.; Testa, Maria; Derrick, Jaye L.; Leonard, Kenneth E.
2014-01-01
An emerging literature suggests that temporary deficits in the ability to inhibit impulsive urges may be proximally associated with intimate partner aggression. The current study examined the experience of alcohol use and the depletion of self-control in the prediction of relationship functioning. Daily diary data collected from 118 heterosexual couples were analyzed using parallel multi-level Actor Partner Interdependence Models to assess the effects of heavy episodic drinking and depletion of self-control across partners on outcomes of participant-reported daily arguing with and anger toward an intimate partner. Heavy episodic drinking among actors predicted greater arguing but failed to interact with either actor or partner depletion. We also found that greater arguing was reported on days of high congruent actor and partner depletion. Both actor and partner depletion, as well as their interaction, predicted greater partner-specific anger. Greater partner-specific anger was generally reported on days of congruent actor and partner depletion, particularly on days of high partner depletion. The current results highlight the importance of independently assessing partner effects (i.e., depletion of self-control), which interact dynamically with disinhibiting actor effects, in the prediction of daily adverse relationship functioning. Results offer further support for the development of prospective individualized and couples-based interventions for partner conflict. PMID:24700558
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Titz, Alexandra; Döll, Petra
2009-02-01
Widespread presence of human pharmaceuticals in water resources across the globe is documented. While some, but certainly not enough, research on the occurrence, fate and effect of pharmaceuticals in water resources has been carried out, a holistic risk management strategy is missing. The transdisciplinary research project "start" aimed to develop an integrative strategy by the participation of experts representing key actors in the problem field "pharmaceuticals in drinking water". In this paper, we describe a novel modelling method, actor modelling with the semi-quantitative software DANA (Dynamic Actor Network Analysis), and its application in support of identifying an integrative risk management strategy. Based on the individual perceptions of different actors, the approach allows the identification of optimal strategies. Actors' perceptions were elicited by participatory model building and interviews, and were then modelled in perception graphs. Actor modelling indicated that an integrative strategy that targets environmentally-responsible prescription, therapy, and disposal of pharmaceuticals on one hand, and the development of environmentally-friendly pharmaceuticals on the other hand, will likely be most effective for reducing the occurrence of pharmaceuticals in drinking water (at least in Germany where the study was performed). However, unlike most other actors, the pharmaceutical industry itself does not perceive that the production of environmentally-friendly pharmaceuticals is an action that helps to achieve its goals, but contends that continued development of highly active pharmaceutical ingredients will help to reduce the occurrence of pharmaceuticals in the water cycle. Investment in advanced waste or drinking water treatment is opposed by both the wastewater treatment company and the drinking water supplier, and is not mentioned as appropriate by the other actors. According to our experience, actor modelling is a useful method to suggest effective
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ACToR A Aggregated Computational Toxicology Resource (S) ...
We are developing the ACToR system (Aggregated Computational Toxicology Resource) to serve as a repository for a variety of types of chemical, biological and toxicological data that can be used for predictive modeling of chemical toxicology. We are developing the ACToR system (Aggregated Computational Toxicology Resource) to serve as a repository for a variety of types of chemical, biological and toxicological data that can be used for predictive modeling of chemical toxicology.
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ERIC Educational Resources Information Center
Poell, Rob F.; Yorks, Lyle; Marsick, Victoria J.
2009-01-01
The authors describe research aimed at developing a more comprehensive framework for project-based learning in work contexts. This grows out of a cross-cultural reanalysis of data from two previous studies using two different frameworks: actor-centered learning network theory and a critical pragmatist lens on action reflection learning. Findings…
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Thomas, Philip; Branicky, Michael; van den Bogert, Antonie; Jagodnik, Kathleen
2009-01-01
Clinical tests have shown that the dynamics of a human arm, controlled using Functional Electrical Stimulation (FES), can vary significantly between and during trials. In this paper, we study the application of the actor-critic architecture, with neural networks for the both the actor and the critic, as a controller that can adapt to these changing dynamics of a human arm. Development and tests were done in simulation using a planar arm model and Hill-based muscle dynamics. We begin by training it using a Proportional Derivative (PD) controller as a supervisor. We then make clinically relevant changes to the dynamics of the arm and test the actor-critic's ability to adapt without supervision in a reasonable number of episodes. Finally, we devise methods for achieving both rapid learning and long-term stability.
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A Framework for Socio-Scientific Issues Based Education
ERIC Educational Resources Information Center
Presley, Morgan L.; Sickel, Aaron J.; Muslu, Nilay; Merle-Johnson, Dominike; Witzig, Stephen B.; Izci, Kemal; Sadler, Troy D.
2013-01-01
Science instruction based on student exploration of socio-scientific issues (SSI) has been presented as a powerful strategy for supporting science learning and the development of scientific literacy. This paper presents an instructional framework for SSI based education. The framework is based on a series of research studies conducted in a diverse…
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Science-based Framework for Environmental Benefits Assessment
2013-03-01
ER D C/ EL T R -1 3 -4 Environmental Benefits Analysis Program Science-based Framework for Environmental Benefits Assessment E nv ir...acwc.sdp.sirsi.net/client/default. Environmental Benefits Analysis Program ERDC/EL TR-13-4 March 2013 Science-based Framework for Environmental Benefits ...evaluating ecosystem restoration benefits within the context of USACE Civil Works planning process. An emphasis is placed on knowledge gained from
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Acoustic changes in student actors' voices after 12 months of training.
Walzak, Peta; McCabe, Patricia; Madill, Cate; Sheard, Christine
2008-05-01
This study was to evaluate acoustic changes in student actors' voices after 12 months of actor training. The design used was a longitudinal study. Eighteen students enrolled in an Australian tertiary 3-year acting program (nine male and nine female) were assessed at the beginning of their acting course and again 12 months later using a questionnaire, interview, maximum phonation time (MPT), reading, spontaneous speaking, sustained phonation tasks, and a pitch range task. Samples were analyzed for MPT, fundamental frequency across tasks, pitch range for speaking and reading, singing pitch range, noise-to-harmonic ratio, shimmer, and jitter. After training, measures of shimmer significantly increased for both male and female participants. Female participants' pitch range significantly increased after training, with a significantly lower mean frequency for their lowest pitch. The finding of limited or negative changes for some measures indicate that further investigation is required into the long-term effects of actor voice training and which parameters of voicing are most targeted and valued in training. Particular investigation into the relationship between training targets and outcomes could more reliably inform acting programs about changes in teaching methodologies. Further research into the relationship between specific training techniques, physiological changes, and vocal changes may also provide information on implementing more evidence-based training methods.
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ACToR Chemical Structure processing using Open Source ...
ACToR (Aggregated Computational Toxicology Resource) is a centralized database repository developed by the National Center for Computational Toxicology (NCCT) at the U.S. Environmental Protection Agency (EPA). Free and open source tools were used to compile toxicity data from over 1,950 public sources. ACToR contains chemical structure information and toxicological data for over 558,000 unique chemicals. The database primarily includes data from NCCT research programs, in vivo toxicity data from ToxRef, human exposure data from ExpoCast, high-throughput screening data from ToxCast and high quality chemical structure information from the EPA DSSTox program. The DSSTox database is a chemical structure inventory for the NCCT programs and currently has about 16,000 unique structures. Included are also data from PubChem, ChemSpider, USDA, FDA, NIH and several other public data sources. ACToR has been a resource to various international and national research groups. Most of our recent efforts on ACToR are focused on improving the structural identifiers and Physico-Chemical properties of the chemicals in the database. Organizing this huge collection of data and improving the chemical structure quality of the database has posed some major challenges. Workflows have been developed to process structures, calculate chemical properties and identify relationships between CAS numbers. The Structure processing workflow integrates web services (PubChem and NIH NCI Cactus) to d
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Professional Actors in the University Classroom
ERIC Educational Resources Information Center
Sharpham, John R.; Pritner, Calvin Lee
1973-01-01
A company of professional actors perform scenes from history, act in plays, and do improvisations and poetry readings in university classrooms. Describes Illinois State University's unique program for enlivening the humanities. (Author/JF)
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ERIC Educational Resources Information Center
Rubin, Lucille S., Ed.
Fourteen brief articles deal with training actors to use their bodies effectively on stage. The articles discuss the following topics: the concept of succession-sequential movement (movement that passes through the body joint by joint); learning physical action through staged fight sequences; techniques of empty-handed combat; protecting students…
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Template-Based Geometric Simulation of Flexible Frameworks
Wells, Stephen A.; Sartbaeva, Asel
2012-01-01
Specialised modelling and simulation methods implementing simplified physical models are valuable generators of insight. Template-based geometric simulation is a specialised method for modelling flexible framework structures made up of rigid units. We review the background, development and implementation of the method, and its applications to the study of framework materials such as zeolites and perovskites. The “flexibility window” property of zeolite frameworks is a particularly significant discovery made using geometric simulation. Software implementing geometric simulation of framework materials, “GASP”, is freely available to researchers. PMID:28817055
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On effectiveness of network sensor-based defense framework
NASA Astrophysics Data System (ADS)
Zhang, Difan; Zhang, Hanlin; Ge, Linqiang; Yu, Wei; Lu, Chao; Chen, Genshe; Pham, Khanh
2012-06-01
Cyber attacks are increasing in frequency, impact, and complexity, which demonstrate extensive network vulnerabilities with the potential for serious damage. Defending against cyber attacks calls for the distributed collaborative monitoring, detection, and mitigation. To this end, we develop a network sensor-based defense framework, with the aim of handling network security awareness, mitigation, and prediction. We implement the prototypical system and show its effectiveness on detecting known attacks, such as port-scanning and distributed denial-of-service (DDoS). Based on this framework, we also implement the statistical-based detection and sequential testing-based detection techniques and compare their respective detection performance. The future implementation of defensive algorithms can be provisioned in our proposed framework for combating cyber attacks.
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Abimbola, Seye; Negin, Joel; Jan, Stephen; Martiniuk, Alexandra
2014-01-01
Although there is evidence that non-government health system actors can individually or collectively develop practical strategies to address primary health care (PHC) challenges in the community, existing frameworks for analysing health system governance largely focus on the role of governments, and do not sufficiently account for the broad range of contribution to PHC governance. This is important because of the tendency for weak governments in low- and middle-income countries (LMICs). We present a multi-level governance framework for use as a thinking guide in analysing PHC governance in LMICs. This framework has previously been used to analyse the governance of common-pool resources such as community fisheries and irrigation systems. We apply the framework to PHC because, like common-pool resources, PHC facilities in LMICs tend to be commonly owned by the community such that individual and collective action is often required to avoid the ‘tragedy of the commons’—destruction and degradation of the resource resulting from lack of concern for its continuous supply. In the multi-level framework, PHC governance is conceptualized at three levels, depending on who influences the supply and demand of PHC services in a community and how: operational governance (individuals and providers within the local health market), collective governance (community coalitions) and constitutional governance (governments at different levels and other distant but influential actors). Using the example of PHC governance in Nigeria, we illustrate how the multi-level governance framework offers a people-centred lens on the governance of PHC in LMICs, with a focus on relations among health system actors within and between levels of governance. We demonstrate the potential impact of health system actors functioning at different levels of governance on PHC delivery, and how governance failure at one level can be assuaged by governance at another level. PMID:25274638
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Thomas, Philip; Branicky, Michael; van den Bogert, Antonie; Jagodnik, Kathleen
2010-01-01
Clinical tests have shown that the dynamics of a human arm, controlled using Functional Electrical Stimulation (FES), can vary significantly between and during trials. In this paper, we study the application of the actor-critic architecture, with neural networks for the both the actor and the critic, as a controller that can adapt to these changing dynamics of a human arm. Development and tests were done in simulation using a planar arm model and Hill-based muscle dynamics. We begin by training it using a Proportional Derivative (PD) controller as a supervisor. We then make clinically relevant changes to the dynamics of the arm and test the actor-critic’s ability to adapt without supervision in a reasonable number of episodes. Finally, we devise methods for achieving both rapid learning and long-term stability. PMID:20689654
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Lone Actor Terrorist Attack Planning and Preparation: A Data-Driven Analysis.
Schuurman, Bart; Bakker, Edwin; Gill, Paul; Bouhana, Noémie
2017-10-23
This article provides an in-depth assessment of lone actor terrorists' attack planning and preparation. A codebook of 198 variables related to different aspects of pre-attack behavior is applied to a sample of 55 lone actor terrorists. Data were drawn from open-source materials and complemented where possible with primary sources. Most lone actors are not highly lethal or surreptitious attackers. They are generally poor at maintaining operational security, leak their motivations and capabilities in numerous ways, and generally do so months and even years before an attack. Moreover, the "loneness" thought to define this type of terrorism is generally absent; most lone actors uphold social ties that are crucial to their adoption and maintenance of the motivation and capability to commit terrorist violence. The results offer concrete input for those working to detect and prevent this form of terrorism and argue for a re-evaluation of the "lone actor" concept. © 2017 The Authors. Journal of Forensic Sciences published by Wiley Periodicals, Inc. on behalf of American Academy of Forensic Sciences.
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Baker, Phillip; Hawkes, Corinna; Wingrove, Kate; Demaio, Alessandro Rhyl; Parkhurst, Justin; Thow, Anne Marie; Walls, Helen
2018-01-01
Generating country-level political commitment will be critical to driving forward action throughout the United Nations Decade of Action on Nutrition (2016-2025). In this review of the empirical nutrition policy literature, we ask: what factors generate, sustain and constrain political commitment for nutrition, how and under what circumstances? Our aim is to inform strategic 'commitment-building' actions. We adopted a framework synthesis method and realist review protocol. An initial framework was derived from relevant theory and then populated with empirical evidence to test and modify it. Five steps were undertaken: initial theoretical framework development; search for relevant empirical literature; study selection and quality appraisal; data extraction, analysis and synthesis and framework modification. 75 studies were included. We identified 18 factors that drive commitment, organised into five categories: actors; institutions; political and societal contexts; knowledge, evidence and framing; and, capacities and resources. Irrespective of country-context, effective nutrition actor networks, strong leadership, civil society mobilisation, supportive political administrations, societal change and focusing events, cohesive and resonant framing, and robust data systems and available evidence were commitment drivers. Low-income and middle-income country studies also frequently reported international actors, empowered institutions, vertical coordination and capacities and resources. In upper-middle-income and high-income country studies, private sector interference frequently undermined commitment. Political commitment is not something that simply exists or emerges accidentally; it can be created and strengthened over time through strategic action. Successfully generating commitment will likely require a core set of actions with some context-dependent adaptations. Ultimately, it will necessitate strategic actions by cohesive, resourced and strongly led nutrition actor
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Teaching, Learning, and Leading: Preparing Teachers as Educational Policy Actors
ERIC Educational Resources Information Center
Heineke, Amy J.; Ryan, Ann Marie; Tocci, Charles
2015-01-01
Within the current federal, state, and local contexts of educational reform, teachers must be recognized as central actors in policy work, but rarely do we explicitly consider preparing teachers to become policy actors. Understanding these implications for teacher education, we investigate teacher candidates' learning of the complexity and…
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Training students with patient actors improves communication: a pilot study.
Anderson, Heather A; Young, Jack; Marrelli, Danica; Black, Rudolph; Lambreghts, Kimberly; Twa, Michael D
2014-01-01
Effective patient communication is correlated with better health outcomes and patient satisfaction, but is challenging to train, particularly with difficult clinical scenarios such as loss of sight. In this pilot study, we evaluated the use of simulated patient encounters with actors to train optometric students. Students were recorded during encounters with actors and assigned to an enrichment group performing five interactions with instructor feedback (n = 6) or a no-enrichment group performing two interactions without feedback (n = 4). Student performance on first and last encounters was scored with (1) subjective rating of performance change using a visual analog scale (anchors: much worse/much better), (2) yes/no response: Would you recommend this doctor to a friend/relative?, and (3) average score on questions from the American Board of Internal Medicine (ABIM) assessment of doctor communication skills. Three clinical instructors, masked to student group assignments and the order of patient encounters they viewed, provided scores in addition to self-evaluation by students and patient-actors. Using the visual analog scale, students who received enrichment were rated more improved than the no-enrichment group by masked examiners (+18 vs. -11% p = 0.04) and self-evaluation (+79 vs. +27% p = 0.009), but not by actors (+31 vs. +43%). The proportion of students recommended significantly increased following enrichment for masked examiners (61% vs. 94%; p < 0.001), but not actors (100 vs. 83%). Average ABIM assessment scores were not significantly different by any rating group: masked instructors, actors, or self-ratings. The findings of this study suggest five simulated patient encounters with feedback result in measurable improvement in student-patient communication skills as rated by masked examiners.
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Defining the global health system and systematically mapping its network of actors.
Hoffman, Steven J; Cole, Clarke B
2018-04-17
The global health system has faced significant expansion over the past few decades, including continued increase in both the number and diversity of actors operating within it. However, without a stronger understanding of what the global health system encompasses, coordination of actors and resources to address today's global health challenges will not be possible. This study presents a conceptually sound and operational definition of the global health system. Importantly, this definition can be applied in practice to facilitate analysis of the system. The study tested the analytical helpfulness of this definition through a network mapping exercise, whereby the interconnected nature of websites representing actors in the global health system was studied. Using a systematic methodology and related search functions, 203 global health actors were identified, representing the largest and most transparent list of its kind to date. Identified global health actors were characterized and the structure of their social network revealed intriguing patterns in relationships among actors. These findings provide a foundation for future inquiries into the global health system's structure and dynamics that are critical if we are to better coordinate system activities and ensure successful response to our most pressing global health challenges.
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False recollection of the role played by an actor in an event
Earles, Julie L.; Upshaw, Christin
2013-01-01
Two experiments demonstrated that eyewitnesses more frequently associate an actor with the actions of another person when those two people had appeared together in the same event, rather than in different events. This greater likelihood of binding an actor with the actions of another person from the same event was associated with high-confidence recognition judgments and “remember” responses in a remember–know task, suggesting that viewing an actor together with the actions of another person led participants to falsely recollect having seen that actor perform those actions. An analysis of age differences provided evidence that familiarity also contributed to false recognition independently of a false-recollection mechanism. In particular, older adults were more likely than young adults to falsely recognize a novel conjunction of a familiar actor and action, regardless of whether that actor and action were from the same or from different events. Older adults’ elevated rate of false recognition was associated with intermediate confidence levels, suggesting that it stemmed from increased reliance on familiarity rather than from false recollection. The implications of these results are discussed for theories of conjunction errors in memory and of unconscious transference in eyewitness testimony. PMID:23722927
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Cresswell, Kathrin M; Worth, Allison; Sheikh, Aziz
2010-11-01
Actor-Network Theory (ANT) is an increasingly influential, but still deeply contested, approach to understand humans and their interactions with inanimate objects. We argue that health services research, and in particular evaluations of complex IT systems in health service organisations, may benefit from being informed by Actor-Network Theory perspectives. Despite some limitations, an Actor-Network Theory-based approach is conceptually useful in helping to appreciate the complexity of reality (including the complexity of organisations) and the active role of technology in this context. This can prove helpful in understanding how social effects are generated as a result of associations between different actors in a network. Of central importance in this respect is that Actor-Network Theory provides a lens through which to view the role of technology in shaping social processes. Attention to this shaping role can contribute to a more holistic appreciation of the complexity of technology introduction in healthcare settings. It can also prove practically useful in providing a theoretically informed approach to sampling (by drawing on informants that are related to the technology in question) and analysis (by providing a conceptual tool and vocabulary that can form the basis for interpretations). We draw on existing empirical work in this area and our ongoing work investigating the integration of electronic health record systems introduced as part of England's National Programme for Information Technology to illustrate salient points. Actor-Network Theory needs to be used pragmatically with an appreciation of its shortcomings. Our experiences suggest it can be helpful in investigating technology implementations in healthcare settings.
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New framework of NGN web-based management system
NASA Astrophysics Data System (ADS)
Nian, Zhou; Jie, Yin; Qian, Mao
2007-11-01
This paper introduces the basic conceptions and key technology of the Ajax and some popular frameworks in the J2EE architecture, try to integrate all the frameworks into a new framework. The developers can develop web applications much more convenient by using this framework and the web application can provide a more friendly and interactive platform to the end users. At last an example is given to explain how to use the new framework to build a web-based management system of the softswitch network.
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Emotional labor actors: a latent profile analysis of emotional labor strategies.
Gabriel, Allison S; Daniels, Michael A; Diefendorff, James M; Greguras, Gary J
2015-05-01
Research on emotional labor focuses on how employees utilize 2 main regulation strategies-surface acting (i.e., faking one's felt emotions) and deep acting (i.e., attempting to feel required emotions)-to adhere to emotional expectations of their jobs. To date, researchers largely have considered how each strategy functions to predict outcomes in isolation. However, this variable-centered perspective ignores the possibility that there are subpopulations of employees who may differ in their combined use of surface and deep acting. To address this issue, we conducted 2 studies that examined surface acting and deep acting from a person-centered perspective. Using latent profile analysis, we identified 5 emotional labor profiles-non-actors, low actors, surface actors, deep actors, and regulators-and found that these actor profiles were distinguished by several emotional labor antecedents (positive affectivity, negative affectivity, display rules, customer orientation, and emotion demands-abilities fit) and differentially predicted employee outcomes (emotional exhaustion, job satisfaction, and felt inauthenticity). Our results reveal new insights into the nature of emotion regulation in emotional labor contexts and how different employees may characteristically use distinct combinations of emotion regulation strategies to manage their emotional expressions at work. (c) 2015 APA, all rights reserved.
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Cognitively Central Actors and Their Personal Networks in an Energy Efficiency Training Program
ERIC Educational Resources Information Center
Hytönen, Kaisa; Palonen, Tuire; Hakkarainen, Kai
2014-01-01
This article aims to examine cognitively central actors and their personal networks in the emerging field of energy efficiency. Cognitively central actors are frequently sought for professional advice by other actors and, therefore, they are positioned in the middle of a social network. They often are important knowledge resources, especially in…
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Koduah, Augustina; van Dijk, Han; Agyepong, Irene Akua
2015-05-30
Development of health policy is a complex process that does not necessarily follow a particular format and a predictable trajectory. Therefore, agenda setting and selecting of alternatives are critical processes of policy development and can give insights into how and why policies are made. Understanding why some policy issues remain and are maintained whiles others drop off the agenda is an important enquiry. This paper aims to advance understanding of health policy agenda setting and formulation in Ghana, a lower middle-income country, by exploring how and why the maternal (antenatal, delivery and postnatal) fee exemption policy agenda in the health sector has been maintained over the four and half decades since a 'free antenatal care in government facilities' policy was first introduced in October 1963. A mix of historical and contemporary qualitative case studies of nine policy agenda setting and formulation processes was used. Data collection methods involved reviews of archival materials, contemporary records, media content, in-depth interviews, and participant observation. Data was analysed drawing on a combination of policy analysis theories and frameworks. Contextual factors, acting in an interrelating manner, shaped how policy actors acted in a timely manner and closely linked policy content to the intended agenda. Contextual factors that served as bases for the policymaking process were: political ideology, economic crisis, data about health outcomes, historical events, social unrest, change in government, election year, austerity measures, and international agendas. Nkrumah's socialist ideology first set the agenda for free antenatal service in 1963. This policy trajectory taken in 1963 was not reversed by subsequent policy actors because contextual factors and policy actors created a network of influence to maintain this issue on the agenda. Politicians over the years participated in the process to direct and approve the agenda. Donors increasingly
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Two-actor conflict with time delay: A dynamical model
NASA Astrophysics Data System (ADS)
Qubbaj, Murad R.; Muneepeerakul, Rachata
2012-11-01
Recent mathematical dynamical models of the conflict between two different actors, be they nations, groups, or individuals, have been developed that are capable of predicting various outcomes depending on the chosen feedback strategies, initial conditions, and the previous states of the actors. In addition to these factors, this paper examines the effect of time delayed feedback on the conflict dynamics. Our analysis shows that under certain initial and feedback conditions, a stable neutral equilibrium of conflict may destabilize for some critical values of time delay, and the two actors may evolve to new emotional states. We investigate the results by constructing critical delay surfaces for different sets of parameters and analyzing results from numerical simulations. These results provide new insights regarding conflict and conflict resolution and may help planners in adjusting and assessing their strategic decisions.
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Hipp, John R.; Wang, Cheng; Butts, Carter T.; Jose, Rupa; Lakon, Cynthia M.
2015-01-01
Although stochastic actor based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing network data for longitudinal analysis. We explore this issue in our research note by utilizing data from four schools in an existing dataset (the AddHealth dataset) over three time points, assessing the substantive consequences of using four different strategies for addressing missing network data. The results indicate that whereas some measures in such models are estimated relatively robustly regardless of the strategy chosen for addressing missing network data, some of the substantive conclusions will differ based on the missing data strategy chosen. These results have important implications for this burgeoning applied research area, implying that researchers should more carefully consider how they address missing data when estimating such models. PMID:25745276
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Hipp, John R; Wang, Cheng; Butts, Carter T; Jose, Rupa; Lakon, Cynthia M
2015-05-01
Although stochastic actor based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing network data for longitudinal analysis. We explore this issue in our research note by utilizing data from four schools in an existing dataset (the AddHealth dataset) over three time points, assessing the substantive consequences of using four different strategies for addressing missing network data. The results indicate that whereas some measures in such models are estimated relatively robustly regardless of the strategy chosen for addressing missing network data, some of the substantive conclusions will differ based on the missing data strategy chosen. These results have important implications for this burgeoning applied research area, implying that researchers should more carefully consider how they address missing data when estimating such models.
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Breaking into the Business: Experiences of Actors with Disabilities in the Entertainment Industry
ERIC Educational Resources Information Center
Raynor, Olivia; Hayward, Katharine
2009-01-01
The pursuit of an acting career is a difficult one for anybody. However, studies have yet to factor how disability affects casting opportunities. This study describes the employment of actors with disabilities, along with the unique barriers they encounter in the audition and casting process. Actors with disabilities from the Screen Actors Guild…
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Sacred Shock: Student Actors on Anti-Bullying Improvisation and Impact of Self-Rehearsal
ERIC Educational Resources Information Center
Gilman, Sharlene Elinor
2017-01-01
This article describes responses of a group of adolescent student actors and actor alumni involved in anti-bullying skits arising from a critical case study of the Tolerance Troupe from a small rural and suburban borough in Pennsylvania. Seventeen active members and 19 actor alumni participated in semi-structured interviews focusing on what the…
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Klasing, Amanda M; Moses, P Scott; Satterthwaite, Margaret L
2011-07-14
This article provides results from an online survey of humanitarian workers and volunteers that was conducted in May and June 2010. The purpose of the survey was to understand how the humanitarian aid system adopts or incorporates human rights into its post-natural disaster work and metrics. Data collected from Haiti suggest that humanitarians have embraced a rights-based approach but that they do not agree about how this is defined or about what standards and indicators can be considered rights-based. This disagreement may reveal that humanitarians are aware of a mismatch between the rights-based approach to post-disaster humanitarian work and the legal framework of human rights. Using participation and accountability as examples, this article identifies and examines this mismatch and suggests that the humanitarian aid system should more fully embrace engagement with the human rights framework. To do so, the article concludes, humanitarian actors and the human rights community should have an open dialogue about the development of metrics that accurately reflect and monitor adherence to the legal framework of human rights. This would allow the humanitarian aid system to ensure its interventions enhance the capacity of the disaster-affected state to fulfill its human rights obligations, and would allow humanitarian and human rights actors alike to measure the impact of such interventions on the realization of human rights in post-natural disaster settings. Copyright © 2011 Klasing, Moses, and Satterthwaite. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
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ERIC Educational Resources Information Center
Yoshida, Aya
2017-01-01
The aim of this paper is to analyse the actions of various actors involved in "global human resource development" and to clarify whether discussions on global human resources are based on local perspectives. The results of the analysis are as follows: 1) after the year 2000 began, industry started discussions on global human resources in…
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Framework for Supporting Web-Based Collaborative Applications
NASA Astrophysics Data System (ADS)
Dai, Wei
The article proposes an intelligent framework for supporting Web-based applications. The framework focuses on innovative use of existing resources and technologies in the form of services and takes the leverage of theoretical foundation of services science and the research from services computing. The main focus of the framework is to deliver benefits to users with various roles such as service requesters, service providers, and business owners to maximize their productivity when engaging with each other via the Web. The article opens up with research motivations and questions, analyses the existing state of research in the field, and describes the approach in implementing the proposed framework. Finally, an e-health application is discussed to evaluate the effectiveness of the framework where participants such as general practitioners (GPs), patients, and health-care workers collaborate via the Web.
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A Framework for Enterprise Operating Systems Based on Zachman Framework
NASA Astrophysics Data System (ADS)
Ostadzadeh, S. Shervin; Rahmani, Amir Masoud
Nowadays, the Operating System (OS) isn't only the software that runs your computer. In the typical information-driven organization, the operating system is part of a much larger platform for applications and data that extends across the LAN, WAN and Internet. An OS cannot be an island unto itself; it must work with the rest of the enterprise. Enterprise wide applications require an Enterprise Operating System (EOS). Enterprise operating systems used in an enterprise have brought about an inevitable tendency to lunge towards organizing their information activities in a comprehensive way. In this respect, Enterprise Architecture (EA) has proven to be the leading option for development and maintenance of enterprise operating systems. EA clearly provides a thorough outline of the whole information system comprising an enterprise. To establish such an outline, a logical framework needs to be laid upon the entire information system. Zachman Framework (ZF) has been widely accepted as a standard scheme for identifying and organizing descriptive representations that have prominent roles in enterprise-wide system development. In this paper, we propose a framework based on ZF for enterprise operating systems. The presented framework helps developers to design and justify completely integrated business, IT systems, and operating systems which results in improved project success rate.
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ERIC Educational Resources Information Center
Schneider, Claudia
2017-01-01
The current literature of school education, transnationalisation and migration explores actors, structures and social mechanisms, however, tends to focus on these analytical levels separately. This article advocates a more explicit analysis of the interconnections of structures, actors and mechanisms within and across schools and wider national…
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Towards an agent-oriented programming language based on Scala
NASA Astrophysics Data System (ADS)
Mitrović, Dejan; Ivanović, Mirjana; Budimac, Zoran
2012-09-01
Scala and its multi-threaded model based on actors represent an excellent framework for developing purely reactive agents. This paper presents an early research on extending Scala with declarative programming constructs, which would result in a new agent-oriented programming language suitable for developing more advanced, BDI agent architectures. The main advantage the new language over many other existing solutions for programming BDI agents is a natural and straightforward integration of imperative and declarative programming constructs, fitted under a single development framework.
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Hurtado-de-Mendoza, Alejandra; Cabling, Mark L; Sheppard, Vanessa B
2015-12-01
Much literature surrounding medical technology and adherence posits that technology is a mechanism for social control. This assumes that the medical establishment can take away patients' agency. Although power relationships and social control can play a key role, medical technology can also serve as an agentive tool to be utilized. We (1) offer the alternative framework of Actor Network Theory to view medical technology, (2) discuss the literature on medication adherence and technology, (3) delve into the ramifications of looking at adherence as a network and (4) use Digital Pills as a case study of dispersed agency. © 2015 John Wiley & Sons Ltd.
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Mettler, Tobias; Vimarlund, Vivian
2011-12-01
Different studies have analysed a wide range of use cases and scenarios for using IT-based services in homecare settings for elderly people. In most instances, the impact of such services has been studied using a one-dimensional approach, either focusing on the benefits for the patient or health service provider. The objective of this contribution is to explore a model for identifying and understanding outcomes of IT-based homecare services from a multi-actor perspective. In order to better understand the state of the art in homecare informatics, we conducted a literature review. We use experiences from previous research in the area of informatics to develop the proposed model. The proposed model consists of four core activities 'identify involved actors', 'understand consequences', 'clarify contingencies', 'take corrective actions', and one additional activity 'brainstorming IT use'. The primary goal of innovating organisations, processes and services in homecare informatics today, is to offer continued care, better decision support both to practitioners and patients, as well as effective distribution of resources. A multi-actor analysis perspective is needed to understand utility determination for the involved stakeholders.
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Abimbola, Seye; Negin, Joel; Jan, Stephen; Martiniuk, Alexandra
2014-09-01
Although there is evidence that non-government health system actors can individually or collectively develop practical strategies to address primary health care (PHC) challenges in the community, existing frameworks for analysing health system governance largely focus on the role of governments, and do not sufficiently account for the broad range of contribution to PHC governance. This is important because of the tendency for weak governments in low- and middle-income countries (LMICs). We present a multi-level governance framework for use as a thinking guide in analysing PHC governance in LMICs. This framework has previously been used to analyse the governance of common-pool resources such as community fisheries and irrigation systems. We apply the framework to PHC because, like common-pool resources, PHC facilities in LMICs tend to be commonly owned by the community such that individual and collective action is often required to avoid the 'tragedy of the commons'-destruction and degradation of the resource resulting from lack of concern for its continuous supply. In the multi-level framework, PHC governance is conceptualized at three levels, depending on who influences the supply and demand of PHC services in a community and how: operational governance (individuals and providers within the local health market), collective governance (community coalitions) and constitutional governance (governments at different levels and other distant but influential actors). Using the example of PHC governance in Nigeria, we illustrate how the multi-level governance framework offers a people-centred lens on the governance of PHC in LMICs, with a focus on relations among health system actors within and between levels of governance. We demonstrate the potential impact of health system actors functioning at different levels of governance on PHC delivery, and how governance failure at one level can be assuaged by governance at another level. Published by Oxford University Press in
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Up the ANTe: Understanding Entrepreneurial Leadership Learning through Actor-Network Theory
ERIC Educational Resources Information Center
Smith, Sue; Kempster, Steve; Barnes, Stewart
2017-01-01
This article explores the role of educators in supporting the development of entrepreneurial leadership learning by creating peer learning networks of owner-managers of small businesses. Using actor-network theory, the authors think through the process of constructing and maintaining a peer learning network (conceived of as an actor-network) and…
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An intervention fidelity framework for technology-based behavioral interventions.
Devito Dabbs, Annette; Song, Mi-Kyung; Hawkins, Robert; Aubrecht, Jill; Kovach, Karen; Terhorst, Lauren; Connolly, Mary; McNulty, Mary; Callan, Judith
2011-01-01
Despite the proliferation of health technologies, descriptions of the unique considerations and practical guidance for evaluating the intervention fidelity of technology-based behavioral interventions are lacking. The aims of this study were to (a) discuss how technology-based behavioral interventions challenge conventions about how intervention fidelity is conceptualized and evaluated, (b) propose an intervention fidelity framework that may be more appropriate for technology-based behavioral interventions, and (c) present a plan for operationalizing each concept in the framework using the intervention fidelity monitoring plan for Pocket PATH (Personal Assistant for Tracking Health), a mobile health technology designed to promote self-care behaviors after lung transplantation, as an exemplar. The literature related to intervention fidelity and technology acceptance was used to identify the issues that are unique to the fidelity of technology-based behavioral interventions and thus important to include in a proposed intervention fidelity framework. An intervention fidelity monitoring plan for technology-based behavioral interventions was developed as an example. The intervention fidelity monitoring plan was deemed feasible and practical to implement and showed utility in operationalizing the concepts such as assessing interventionists' delivery and participants' acceptance of the technology-based behavioral intervention. The framework has the potential to guide the development of implementation fidelity monitoring tools for other technology-based behavioral interventions. Further application and testing of this framework will allow for a better understanding of the role that technology acceptance plays in the adoption and enactment of the behaviors that technology-based behavioral interventions are intended to promote.
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Who Needs What? Some Thoughts on the Possibility of Using Psychology in Actor Training.
ERIC Educational Resources Information Center
Vulova, Marina
2001-01-01
Contends that the aim of professional actor training is to reveal and develop an actor's individuality. Proposes that the responsibility of drama teachers is to lead training in such away that students feel accepted, understood, and respected. Proposes that psychodrama is the most appropriate method for student and professional actors' personal…
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Baker, Phillip; Hawkes, Corinna; Wingrove, Kate; Parkhurst, Justin; Thow, Anne Marie; Walls, Helen
2018-01-01
Introduction Generating country-level political commitment will be critical to driving forward action throughout the United Nations Decade of Action on Nutrition (2016–2025). In this review of the empirical nutrition policy literature, we ask: what factors generate, sustain and constrain political commitment for nutrition, how and under what circumstances? Our aim is to inform strategic ‘commitment-building’ actions. Method We adopted a framework synthesis method and realist review protocol. An initial framework was derived from relevant theory and then populated with empirical evidence to test and modify it. Five steps were undertaken: initial theoretical framework development; search for relevant empirical literature; study selection and quality appraisal; data extraction, analysis and synthesis and framework modification. Results 75 studies were included. We identified 18 factors that drive commitment, organised into five categories: actors; institutions; political and societal contexts; knowledge, evidence and framing; and, capacities and resources. Irrespective of country-context, effective nutrition actor networks, strong leadership, civil society mobilisation, supportive political administrations, societal change and focusing events, cohesive and resonant framing, and robust data systems and available evidence were commitment drivers. Low-income and middle-income country studies also frequently reported international actors, empowered institutions, vertical coordination and capacities and resources. In upper-middle-income and high-income country studies, private sector interference frequently undermined commitment. Conclusion Political commitment is not something that simply exists or emerges accidentally; it can be created and strengthened over time through strategic action. Successfully generating commitment will likely require a core set of actions with some context-dependent adaptations. Ultimately, it will necessitate strategic actions by cohesive
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An Ontology and a Software Framework for Competency Modeling and Management
ERIC Educational Resources Information Center
Paquette, Gilbert
2007-01-01
The importance given to competency management is well justified. Acquiring new competencies is the central goal of any education or knowledge management process. Thus, it must be embedded in any software framework as an instructional engineering tool, to inform the runtime environment of the knowledge that is processed by actors, and their…
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[A non-classical approach to medical practices: Michel Foucault and Actor-Network Theory].
Bińczyk, E
2001-01-01
The text presents an analysis of medical practices stemming from two sources: Michel Foucault's conception and the research of Annemarie Mol and John Law, representatives of a trend known as Actor-Network Theory. Both approaches reveal significant theoretical kinship: they can be successfully consigned to the framework of non-classical sociology of science. I initially refer to the cited conceptions as a version of non-classical sociology of medicine. The identity of non-classical sociology of medicine hinges on the fact that it undermines the possibility of objective definitions of disease, health and body. These are rather approached as variable social and historical phenomena, co-constituted by medical practices. To both Foucault and Mol the main object of interest was not medicine as such, but rather the network of medical practices. Mol and Law sketch a new theoretical perspective for the analysis of medical practices. They attempt to go beyond the dichotomous scheme of thinking about the human body as an object of medical research and the subject of private experience. Research on patients suffering blood-sugar deficiency provide the empirical background for the thesis of Actor-Network Theory representatives. Michel Foucault's conceptions are extremely critical of medical practices. The French researcher describes the processes of 'medicalising' Western society as the emergence of a new type of power. He attempts to sensitise the reader to the ethical dimension of the processes of medicalising society.
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Neuroimaging of the joint Simon effect with believed biological and non-biological co-actors.
Wen, Tanya; Hsieh, Shulan
2015-01-01
Performing a task alone or together with another agent can produce different outcomes. The current study used event-related functional magnetic resonance imaging (fMRI) to investigate the neural underpinnings when participants performed a Go/Nogo task alone or complementarily with another co-actor (unseen), whom was believed to be another human or a computer. During both complementary tasks, reaction time data suggested that participants integrated the potential action of their co-actor in their own action planning. Compared to the single-actor task, increased parietal and precentral activity during complementary tasks as shown in the fMRI data further suggested representation of the co-actor's response. The superior frontal gyrus of the medial prefrontal cortex was differentially activated in the human co-actor condition compared to the computer co-actor condition. The medial prefrontal cortex, involved thinking about the beliefs and intentions of other people, possibly reflects a social-cognitive aspect or self-other discrimination during the joint task when believing a biological co-actor is present. Our results suggest that action co-representation can occur even offline with any agent type given a priori information that they are co-acting; however, additional regions are recruited when participants believe they are task-sharing with another human.
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NASA Astrophysics Data System (ADS)
Oktavia, Y.
2018-03-01
This research aims to: (1) Analyze the level of socio-cultural dynamics of agibusiness aquaculture actors. (2) Analyze the influence of socio-cultural dynamics on convergence communication of capacity development of aquaculture agribusiness actors.Data was collected by questionnaire and interview of group members on agribusiness. Data analyze was done by descriptive and inferential statistics with using SEM method. The result of descriptive statistics on 284 agribusiness members showed that: Socio-cultural dynamics of agibusiness aquaculture actors was in low category, as shown by lack of the role of customary institutions and quality of local leadership.The communication convergence is significantly and positively influenced by the communication behavior of agribusiness actors in access information.
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ACToR A Aggregated Computational Toxicology Resource
We are developing the ACToR system (Aggregated Computational Toxicology Resource) to serve as a repository for a variety of types of chemical, biological and toxicological data that can be used for predictive modeling of chemical toxicology.
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Keefe, Bruce D; Wincenciak, Joanna; Jellema, Tjeerd; Ward, James W; Barraclough, Nick E
2016-07-01
When observing another individual's actions, we can both recognize their actions and infer their beliefs concerning the physical and social environment. The extent to which visual adaptation influences action recognition and conceptually later stages of processing involved in deriving the belief state of the actor remains unknown. To explore this we used virtual reality (life-size photorealistic actors presented in stereoscopic three dimensions) to see how visual adaptation influences the perception of individuals in naturally unfolding social scenes at increasingly higher levels of action understanding. We presented scenes in which one actor picked up boxes (of varying number and weight), after which a second actor picked up a single box. Adaptation to the first actor's behavior systematically changed perception of the second actor. Aftereffects increased with the duration of the first actor's behavior, declined exponentially over time, and were independent of view direction. Inferences about the second actor's expectation of box weight were also distorted by adaptation to the first actor. Distortions in action recognition and actor expectations did not, however, extend across different actions, indicating that adaptation is not acting at an action-independent abstract level but rather at an action-dependent level. We conclude that although adaptation influences more complex inferences about belief states of individuals, this is likely to be a result of adaptation at an earlier action recognition stage rather than adaptation operating at a higher, more abstract level in mentalizing or simulation systems.
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A Framework for Concept-Based Digital Course Libraries
ERIC Educational Resources Information Center
Dicheva, Darina; Dichev, Christo
2004-01-01
This article presents a general framework for building conceptbased digital course libraries. The framework is based on the idea of using a conceptual structure that represents a subject domain ontology for classification of the course library content. Two aspects, domain conceptualization, which supports findability and ontologies, which support…
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Characteristics of pornography film actors: self-report versus perceptions of college students.
Griffith, James D; Hayworth, Michelle; Adams, Lea T; Mitchell, Sharon; Hart, Christian
2013-05-01
The assumed characteristics of individuals in the adult entertainment industry have been used to advocate positions for and against pornography. Although prior studies have investigated perceptions of porn actors, no data on the actual characteristics of this group exist. The present study compared the self-reports of 105 male and 177 female porn actors to the perceptions of 399 college students on childhood sexual abuse (CSA), self-esteem, work and non-work sexual behaviors, and safe sex issues. College students were asked to identify the characteristics associated with either a male or female porn star. College students provided underestimates for both female and male porn actors on self-esteem, age of first intercourse, lifetime number of partners outside of work, ideal experience in a romantic partner, concerns regarding sexually transmitted diseases (STDs), enjoyment of sex, and condom use during a first time sexual encounter, but overestimated earnings. Additional differences among male porn stars included an underestimate of the number of partners at work. For female porn stars, college students underestimated their enjoyment of work, the probability of catching an STD, and having unprotected sex. Although there were no significant differences on perceived rates of childhood abuse of porn actors, the incidence of CSA among the porn actor participants were within the ranges of the general population. The majority of college student stereotypes were not supported regarding the perceptions of porn actors. These findings were discussed within the context of attributing unfounded characteristics of individuals to an entire industry.
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Agartan, Tuba I
2015-10-01
Explaining policy change has been one of the major concerns of the health care politics and policy development literature. This article aims to explain the specific dynamics of large-scale reforms introduced within the framework of the Health Transformation Program in Turkey. It argues that confluence of the three streams - problem, policy, and politics - with the exceptional political will of the Justice and Development Party's (JDP) leaders opened up a window of opportunity for a large-scale policy change. The article also underscores the contribution of recent ideational perspectives that help explain "why" political actors in Turkey would focus on health care reform, given that there are a number of issues waiting to be addressed in the policy agenda. Examining how political actors framed problems and policies deepens our understanding of the content of the reform initiatives as well as the construction of the need to reform. The article builds on the insights of both the ideational and institutionalist perspectives when it argues that the interests, aspirations, and fears of the JDP, alongside the peculiar characteristics of the institutional context, have shaped its priorities and determination to carry out this reform initiative. Copyright © 2015 by Duke University Press.
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"Too Many Actors and Too Few Jobs": A Case for Curriculum Extension in UK Vocational Actor Training
ERIC Educational Resources Information Center
Wilkie, Ian
2015-01-01
This article questions the current situation for vocational acting training (VAT) in the UK. It aims to provide an update on the report into burgeoning provision of acting training (and the attempt to address subsequent high rates of actor unemployment) that was originally undertaken by the Calouste Gulbenkian Foundation (CGF, 1975) in their…
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ng: What next-generation languages can teach us about HENP frameworks in the manycore era
NASA Astrophysics Data System (ADS)
Binet, Sébastien
2011-12-01
Current High Energy and Nuclear Physics (HENP) frameworks were written before multicore systems became widely deployed. A 'single-thread' execution model naturally emerged from that environment, however, this no longer fits into the processing model on the dawn of the manycore era. Although previous work focused on minimizing the changes to be applied to the LHC frameworks (because of the data taking phase) while still trying to reap the benefits of the parallel-enhanced CPU architectures, this paper explores what new languages could bring to the design of the next-generation frameworks. Parallel programming is still in an intensive phase of R&D and no silver bullet exists despite the 30+ years of literature on the subject. Yet, several parallel programming styles have emerged: actors, message passing, communicating sequential processes, task-based programming, data flow programming, ... to name a few. We present the work of the prototyping of a next-generation framework in new and expressive languages (python and Go) to investigate how code clarity and robustness are affected and what are the downsides of using languages younger than FORTRAN/C/C++.
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Nature-based supportive care opportunities: a conceptual framework.
Blaschke, Sarah; O'Callaghan, Clare C; Schofield, Penelope
2018-03-22
Given preliminary evidence for positive health outcomes related to contact with nature for cancer populations, research is warranted to ascertain possible strategies for incorporating nature-based care opportunities into oncology contexts as additional strategies for addressing multidimensional aspects of cancer patients' health and recovery needs. The objective of this study was to consolidate existing research related to nature-based supportive care opportunities and generate a conceptual framework for discerning relevant applications in the supportive care setting. Drawing on research investigating nature-based engagement in oncology contexts, a two-step analytic process was used to construct a conceptual framework for guiding nature-based supportive care design and future research. Concept analysis methodology generated new representations of understanding by extracting and synthesising salient concepts. Newly formulated concepts were transposed to findings from related research about patient-reported and healthcare expert-developed recommendations for nature-based supportive care in oncology. Five theoretical concepts (themes) were formulated describing patients' reasons for engaging with nature and the underlying needs these interactions address. These included: connecting with what is genuinely valued, distancing from the cancer experience, meaning-making and reframing the cancer experience, finding comfort and safety, and vital nurturance. Eight shared patient and expert recommendations were compiled, which address the identified needs through nature-based initiatives. Eleven additional patient-reported recommendations attend to beneficial and adverse experiential qualities of patients' nature-based engagement and complete the framework. The framework outlines salient findings about helpful nature-based supportive care opportunities for ready access by healthcare practitioners, designers, researchers and patients themselves. © Article author(s) (or their
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An ethical framework for pharmacy management: balancing autonomy and other principles.
Glassman, Peter A; Schneider, Paul L; Good, Chester B
2014-04-01
Decisions to control pharmaceutical costs can cause conflicts as to what medications are covered. Such conflicts have ethical implications, however implicit, and given this fact, an ethical framework can help address them. In the following commentary, we discuss the more traditional, individual-level ethical considerations likely familiar to most clinicians. We, then, discuss population-level ethical constructs that clinicians may not as readily embrace. We also present a hypothetical cancer-care case to illustrate how imbalances in ethical foci between individual- and population-level constructs may lead to conflicts among health care actors and promote shifts in pharmaceutical decision making away from providers and toward payers, paradoxically reducing provider autonomy and hence patient autonomy. Finally, we propose a more comprehensive ethical framework to help converge individual, payer, and societal interests when making pharmaceutical use decisions. Pharmacists play a crucial role as pharmacy benefits managers and should be familiar with individual- and population-based ethical constructs.
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Media actors' perceptions of their roles in reporting food incidents.
Wilson, Annabelle M; Henderson, Julie; Coveney, John; Meyer, Samantha B; Webb, Trevor; Calnan, Michael; Caraher, Martin; Lloyd, Sue; McCullum, Dean; Elliott, Anthony; Ward, Paul R
2014-12-18
Previous research has shown that the media can play a role in shaping consumer perceptions during a public health crisis. In order for public health professionals to communicate well-informed health information to the media, it is important that they understand how media view their role in transmitting public health information to consumers and decide what information to present. This paper reports the perceptions of media actors from three countries about their role in reporting information during a food incident. This information is used to present ideas and suggestions for public health professionals working with media during food incidents. Thirty three semi-structured interviews with media actors from Australia, New Zealand and the United Kingdom were conducted and analysed thematically. Media actors were recruited via purposive sampling using a sampling strategy, from a variety of formats including newspaper, television, radio and online. Media actors said that during a food incident, they play two roles. First, they play a role in communicating information to consumers by acting as a conduit for information between the public and the relevant authorities. Second, they play a role as investigators by acting as a public watchdog. Media actors are an important source of consumer information during food incidents. Public health professionals can work with media by actively approaching them with information about food incidents; promoting to media that as public health professionals, they are best placed to provide the facts about food incidents; and by providing angles for further investigation and directing media to relevant and correct information to inform such investigations. Public health professionals who adapt how they work with media are more likely to influence media to portray messages that fit what they would like the public to know and that are in line with public health recommendations and enable consumers to engage in safe and health promoting
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Competing actors in the climate change arena in Mexico: A network analysis.
Ortega Díaz, Araceli; Gutiérrez, Erika Casamadrid
2018-06-01
This paper analyzes the actors in the climate change arena and their influence in directing Mexico toward policies that decrease greenhouse gas emissions, such as the carbon tax and climate change law. The network analysis of the agreement of these laws and public policies in Mexico is a lesson for any country that is in the process of designing and adopting environmental laws. The research is performed using a network analysis that is derived from interviews with various main actors and a discourse analysis of the media. Results show that actors do not coordinate their efforts-they meet frequently but in different inter-ministerial commissions-and do not enforce the same policies. The actors in the industry have formed strong coalitions against the carbon tax and the General Law on Climate Change, whereas international institutions have formed coalitions that support these policies and laws. Copyright © 2018 Elsevier Ltd. All rights reserved.
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Argumentation in Science Education: A Model-based Framework
NASA Astrophysics Data System (ADS)
Böttcher, Florian; Meisert, Anke
2011-02-01
The goal of this article is threefold: First, the theoretical background for a model-based framework of argumentation to describe and evaluate argumentative processes in science education is presented. Based on the general model-based perspective in cognitive science and the philosophy of science, it is proposed to understand arguments as reasons for the appropriateness of a theoretical model which explains a certain phenomenon. Argumentation is considered to be the process of the critical evaluation of such a model if necessary in relation to alternative models. Secondly, some methodological details are exemplified for the use of a model-based analysis in the concrete classroom context. Third, the application of the approach in comparison with other analytical models will be presented to demonstrate the explicatory power and depth of the model-based perspective. Primarily, the framework of Toulmin to structurally analyse arguments is contrasted with the approach presented here. It will be demonstrated how common methodological and theoretical problems in the context of Toulmin's framework can be overcome through a model-based perspective. Additionally, a second more complex argumentative sequence will also be analysed according to the invented analytical scheme to give a broader impression of its potential in practical use.
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Extended mind and after: socially extended mind and actor-network.
Kono, Tetsuya
2014-03-01
The concept of extended mind has been impressively developed over the last 10 years by many philosophers and cognitive scientists. The extended mind thesis (EM) affirms that the mind is not simply ensconced inside the head, but extends to the whole system of brain-body-environment. Recently, some philosophers and psychologists try to adapt the idea of EM to the domain of social cognition research. Mind is socially extended (SEM). However, EM/SEM theory has problems to analyze the interactions among a subject and its surroundings with opposition, antagonism, or conflict; it also tends to think that the environment surrounding the subject is passive or static, and to neglect the power of non-human actants to direct and regulate the human subject. In these points, actor-network theory (ANT) proposed by Latour and Callon is more persuasive, while sharing some important ideas with EM/SEM theory. Actor-network is a hybrid community which is composed of a series of heterogeneous elements, animate and inanimate for a certain period of time. I shall conclude that EM/SEM could be best analyzed as a special case of actor-network. EM/SEM is a system which can be controlled by a human agent alone. In order to understand collective behavior, philosophy and psychology have to study the actor-network in which human individuals are situated.
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ERIC Educational Resources Information Center
Mulcahy, Dianne; Perillo, Suzanne
2011-01-01
This article examines the significance of materiality for management and leadership in education using resources provided by actor-network theory (ANT). Espousing the idea that human interactions are mediated by material objects and that these objects participate in the production of practices, ANT affords thinking management and leadership in a…
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Case-based retrieval framework for gene expression data.
Anaissi, Ali; Goyal, Madhu; Catchpoole, Daniel R; Braytee, Ali; Kennedy, Paul J
2015-01-01
The process of retrieving similar cases in a case-based reasoning system is considered a big challenge for gene expression data sets. The huge number of gene expression values generated by microarray technology leads to complex data sets and similarity measures for high-dimensional data are problematic. Hence, gene expression similarity measurements require numerous machine-learning and data-mining techniques, such as feature selection and dimensionality reduction, to be incorporated into the retrieval process. This article proposes a case-based retrieval framework that uses a k-nearest-neighbor classifier with a weighted-feature-based similarity to retrieve previously treated patients based on their gene expression profiles. The herein-proposed methodology is validated on several data sets: a childhood leukemia data set collected from The Children's Hospital at Westmead, as well as the Colon cancer, the National Cancer Institute (NCI), and the Prostate cancer data sets. Results obtained by the proposed framework in retrieving patients of the data sets who are similar to new patients are as follows: 96% accuracy on the childhood leukemia data set, 95% on the NCI data set, 93% on the Colon cancer data set, and 98% on the Prostate cancer data set. The designed case-based retrieval framework is an appropriate choice for retrieving previous patients who are similar to a new patient, on the basis of their gene expression data, for better diagnosis and treatment of childhood leukemia. Moreover, this framework can be applied to other gene expression data sets using some or all of its steps.
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Baum, Fran; Delany-Crowe, Toni; MacDougall, Colin; Lawless, Angela; van Eyk, Helen; Williams, Carmel
2017-10-16
This paper examines the extent to which actors from sectors other than health engaged with the South Australian Health in All Policies (HiAP) initiative, determines why they were prepared to do so and explains the mechanisms by which successful engagement happened. This examination applies theories of policy development and implementation. The paper draws on a five year study of the implementation of HiAP comprising document analysis, a log of key events, detailed interviews with 64 policy actors and two surveys of public servants. The findings are analysed within an institutional policy analysis framework and examine the extent to which ideas, institutional factors and actor agency influenced the willingness of actors from other sectors to work with Health sector staff under the HiAP initiative. In terms of ideas, there was wide acceptance of the role of social determinants in shaping health and the importance of action to promote health in all government agencies. The institutional environment was initially supportive, but support waned over the course of the study when the economy in South Australia became less buoyant and a health minister less supportive of health promotion took office. The existence of a HiAP Unit was very helpful for gaining support from other sectors. A new Public Health Act offered some promise of institutionalising the HiAP approach and ideas. The analysis concludes that a key factor was the operation of a supportive network of public servants who promoted HiAP, including some who were senior and influential. The South Australian case study demonstrates that despite institutional constraints and shifting political support within the health sector, HiAP gained traction in other sectors. The key factors that encouraged the commitment of others sectors to HiAP were the existence of a supportive, knowledgeable policy network, political support, institutionalisation of the ideas and approach, and balancing of the economic and social goals of
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Turkson, Paa Kobina; Okike, Iheanacho
2016-02-01
The animal health services-seeking behaviour of animal owners related to prevention and control of animal diseases may influence their decisions as to whether or not to use services provided by the public or private sectors. The specific objective of this paper was to assess the practices, capacities and incentives of actors involved in highly pathogenic avian influenza (HPAI) control to provide information for prevention and control in Ghana. Questionnaires were designed based on specific practices, incentives and capacities associated with each mitigation measure that was being assessed. Two peacetime preventive mitigation measures (biosecurity and reporting) and two outbreak containment measures (culling with compensation and movement control) were selected for evaluation. Supply chain actors were characterised based on baseline information. Tables were generated showing proportions of respondents in the various response categories in Likert-scale type itemised questionnaire. Mean scores (and their standard deviations) for the various actors with regard to mitigation measures were calculated. Pair-wise comparisons were done using t -ratio statistic and significance of differences were determined at a Bonferroni adjusted P -value of 0.0024. The study found statistically significant differences between certain actors for practices (biosecurity, reporting, culling and compensation and movement controls), incentives (reporting and movement control) and capacities (reporting and movement control). The findings provide lessons to help improve education and messages on HPAI and to help provide technical assistance targeted at specific actors to prevent and control future HPAI H5N1 outbreaks in Ghana.
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NASA Astrophysics Data System (ADS)
Schuster, Z.
2015-12-01
The paradigm of stakeholder-based science is becoming more popular as organizations such as the U.S. Department of the Interior Climate Science Centers adopt it as a way of providing practicable climate change information to practitioners. One of the key issues stakeholders face in adopting climate change information into their decision processes is how uncertainty is addressed and communicated. In this study, we conducted a series of semi-structured interviews with managers and scientists working on stream habitat restoration of cold-water fisheries in the Driftless Area of Wisconsin that were focused on how they interpret and manage uncertainty and what types of information they need to make better decisions. One of the important lessons we learned from the interviews is that if researchers are going to provide useful climate change information to stakeholders, they need to understand where and how decisions are made and what adaptation measures are actually available in a given decision arena. This method of incorporating social science methods into climate science production can provide a framework for researchers from the Climate Science Centers and others who are interested in pursuing stakeholder-based science. By indentifying a specific ecological system and conducting interviews with actors who work on that system, researchers will be able to gain a better understanding of how their climate change science can fit into existing or shape new decision processes. We also interpreted lessons learned from our interviews via existing literature in areas such as stakeholder-based modeling and the decision sciences to provide guidance specific to the stakeholder-based science process.
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An Argumentation Framework based on Paraconsistent Logic
NASA Astrophysics Data System (ADS)
Umeda, Yuichi; Takahashi, Takehisa; Sawamura, Hajime
Argumentation is the most representative of intelligent activities of humans. Therefore, it is natural to think that it could have many implications for artificial intelligence and computer science as well. Specifically, argumentation may be considered a most primitive capability for interaction among computational agents. In this paper we present an argumentation framework based on the four-valued paraconsistent logic. Tolerance and acceptance of inconsistency that this logic has as its logical feature allow for arguments on inconsistent knowledge bases with which we are often confronted. We introduce various concepts for argumentation, such as arguments, attack relations, argument justification, preferential criteria of arguments based on social norms, and so on, in a way proper to the four-valued paraconsistent logic. Then, we provide the fixpoint semantics and dialectical proof theory for our argumentation framework. We also give the proofs of the soundness and completeness.
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Introduction: Greening the countryside? Changing frameworks of EU agricultural policy.
Lowe, Philip; Feindt, Peter H; Vihinen, Hilkka
2010-01-01
In response to wide-ranging criticism of agricultural policy, especially within Western industrialized countries, new frameworks of justification are emerging and new hybrid policy fields have been established to tackle some of the ‘externalities’ of agricultural support. However, institutional frameworks are proving slower to change, partly because this would require coordinated action across different levels of governance. Nevertheless, previously marginalized environmental concerns have successfully gained entrance to agricultural policy networks, while the intersection of trade liberalization and rural diversification have undermined the dominance of the productivist mindset in government. This gives rise to a plurality of policy actors and actions which defy the conventional categories of analysis of agricultural policy, calling for changing frameworks on the polity of agriculture too.
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Framework Support For Knowledge-Based Software Development
NASA Astrophysics Data System (ADS)
Huseth, Steve
1988-03-01
The advent of personal engineering workstations has brought substantial information processing power to the individual programmer. Advanced tools and environment capabilities supporting the software lifecycle are just beginning to become generally available. However, many of these tools are addressing only part of the software development problem by focusing on rapid construction of self-contained programs by a small group of talented engineers. Additional capabilities are required to support the development of large programming systems where a high degree of coordination and communication is required among large numbers of software engineers, hardware engineers, and managers. A major player in realizing these capabilities is the framework supporting the software development environment. In this paper we discuss our research toward a Knowledge-Based Software Assistant (KBSA) framework. We propose the development of an advanced framework containing a distributed knowledge base that can support the data representation needs of tools, provide environmental support for the formalization and control of the software development process, and offer a highly interactive and consistent user interface.
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Using framework-based synthesis for conducting reviews of qualitative studies.
Dixon-Woods, Mary
2011-04-14
Framework analysis is a technique used for data analysis in primary qualitative research. Recent years have seen its being adapted to conduct syntheses of qualitative studies. Framework-based synthesis shows considerable promise in addressing applied policy questions. An innovation in the approach, known as 'best fit' framework synthesis, has been published in BMC Medical Research Methodology this month. It involves reviewers in choosing a conceptual model likely to be suitable for the question of the review, and using it as the basis of their initial coding framework. This framework is then modified in response to the evidence reported in the studies in the reviews, so that the final product is a revised framework that may include both modified factors and new factors that were not anticipated in the original model. 'Best fit' framework-based synthesis may be especially suitable in addressing urgent policy questions where the need for a more fully developed synthesis is balanced by the need for a quick answer. Please see related article: http://www.biomedcentral.com/1471-2288/11/29.
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Jones, Catherine M; Clavier, Carole; Potvin, Louise
2017-03-01
National policies on global health appear as one way that actors from health, development and foreign affairs sectors in a country coordinate state action on global health. Next to a burgeoning literature in which international relations and global governance theories are employed to understand global health policy and global health diplomacy at the international level, little is known about policy processes for global health at the national scale. We propose a framework of the policy process to understand how such policies are developed, and we identify challenges for public health researchers integrating conceptual tools from political science. We developed the framework using a two-step process: 1) reviewing literature to establish criteria for selecting a theoretical framework fit for this purpose, and 2) adapting Real-Dato's synthesis framework to integrate a cognitive approach to public policy within a constructivist perspective. Our framework identifies multiple contexts as part of the policy process, focuses on situations where actors work together to make national policy on global health, considers these interactive situations as spaces for observing external influences on policy change and proposes policy design as the output of the process. We suggest that this framework makes three contributions to the conceptualisation of national policy on global health as a research object. First, it emphasizes collective action over decisions of individual policy actors. Second, it conceptualises the policy process as organised interactive spaces for collaboration rather than as stages of a policy cycle. Third, national decision-making spaces are opportunities for transferring ideas and knowledge from different sectors and settings, and represent opportunities to identify international influences on a country's global health policy. We discuss two sets of challenges for public health researchers using interdisciplinary approaches in policy research. Copyright
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NASA Astrophysics Data System (ADS)
Kalman, Calvin S.; Aulls, Mark W.
This study examines a course in which students use two writing activities and collaborative group activities to examine the conceptual structure of the calculus-based introductory Physics course. Students are presented with two alternative frameworks; pre-Galilean Physics and Newtonian Physics. The idea of the course design is that students would at first view the frameworks almost in a theatrical sense as a view of a drama involving a conflict of actors;Aristotle, Galileo, Newton and others occurring a long time ago. As participants passing through a series of interventions, the students become aware that the frameworks relate concepts from different parts of the course and learn to evaluate the two alternative frameworks. They develop a scientific mindset changing their outlook on the course material from the viewpoint that it consists of a tool kit of assorted practices, classified according to problem type, to the viewpoint that it comprises a connected structure of concepts.
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Neuroimaging of the joint Simon effect with believed biological and non-biological co-actors
Wen, Tanya; Hsieh, Shulan
2015-01-01
Performing a task alone or together with another agent can produce different outcomes. The current study used event-related functional magnetic resonance imaging (fMRI) to investigate the neural underpinnings when participants performed a Go/Nogo task alone or complementarily with another co-actor (unseen), whom was believed to be another human or a computer. During both complementary tasks, reaction time data suggested that participants integrated the potential action of their co-actor in their own action planning. Compared to the single-actor task, increased parietal and precentral activity during complementary tasks as shown in the fMRI data further suggested representation of the co-actor’s response. The superior frontal gyrus of the medial prefrontal cortex was differentially activated in the human co-actor condition compared to the computer co-actor condition. The medial prefrontal cortex, involved thinking about the beliefs and intentions of other people, possibly reflects a social-cognitive aspect or self-other discrimination during the joint task when believing a biological co-actor is present. Our results suggest that action co-representation can occur even offline with any agent type given a priori information that they are co-acting; however, additional regions are recruited when participants believe they are task-sharing with another human. PMID:26388760
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Reading Educational Reform with Actor Network Theory: Fluid Spaces, Otherings, and Ambivalences
ERIC Educational Resources Information Center
Fenwick, Tara
2011-01-01
In considering two extended examples of educational reform efforts, this discussion traces relations that become visible through analytic approaches associated with actor-network theory (ANT). The strategy here is to present multiple readings of the two examples. The first reading adopts an ANT approach to follow ways that all actors--human and…
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Overarching framework for data-based modelling
NASA Astrophysics Data System (ADS)
Schelter, Björn; Mader, Malenka; Mader, Wolfgang; Sommerlade, Linda; Platt, Bettina; Lai, Ying-Cheng; Grebogi, Celso; Thiel, Marco
2014-02-01
One of the main modelling paradigms for complex physical systems are networks. When estimating the network structure from measured signals, typically several assumptions such as stationarity are made in the estimation process. Violating these assumptions renders standard analysis techniques fruitless. We here propose a framework to estimate the network structure from measurements of arbitrary non-linear, non-stationary, stochastic processes. To this end, we propose a rigorous mathematical theory that underlies this framework. Based on this theory, we present a highly efficient algorithm and the corresponding statistics that are immediately sensibly applicable to measured signals. We demonstrate its performance in a simulation study. In experiments of transitions between vigilance stages in rodents, we infer small network structures with complex, time-dependent interactions; this suggests biomarkers for such transitions, the key to understand and diagnose numerous diseases such as dementia. We argue that the suggested framework combines features that other approaches followed so far lack.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Kolhoff, Arend J., E-mail: akolhoff@eia.nl; Driessen, Peter P.J., E-mail: p.driessen@uu.nl; Runhaar, Hens A.C., E-mail: h.a.c.runhaar@uu.nl
2013-01-15
Actors in the field of international development co-operation supporting the development of EIA legislation in developing countries often do not achieve the results envisaged. The performance of EIA in these countries often remains weak. One reason, we assume, is that often those actors support the establishment of overly ambitious EIA legislation that cannot achieve its objectives in the light of constraining contexts. To provide more effective support we need to better understand the enabling and constraining contextual factors that influence the development of EIA legislation and to which support actors should align itself. In this article a new analysis frameworkmore » for classifying, characterizing and explaining the development of EIA legislation is described, measured in terms of ambition levels. Ambitions are defined as intentions the EIA authorities aim to fulfill, expressed in formal EIA legislation. Three country cases, Yemen, Georgia and Ghana are used to illustrate the usefulness of our framework and as a first test to refine the framework. We have formulated the following five hypotheses that complement and refine our analysis framework. One, EIA legislation may develop multilinearly in terms of ambition levels. Two, ambitions in EIA legislation seem to be influenced to a great extent by the power and capacity of, on the one hand, the environmental authorities supporting EIA and, on the other hand, the sector authorities hindering the development of EIA. Three, the political system is the most important context factor influencing the rules of policy-making and the power of the different actors involved. Four, the importance of context factors on the development of ambitions is dependent on the phase of EIA system development. Five, some ambitions seem to be influenced by particular factors; for instance the ambitions for the object of study seem to be influenced by the level of environmental awareness of the sector ministries and parliament. The
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Jürgens, Rebecca; Grass, Annika; Drolet, Matthis; Fischer, Julia
Both in the performative arts and in emotion research, professional actors are assumed to be capable of delivering emotions comparable to spontaneous emotional expressions. This study examines the effects of acting training on vocal emotion depiction and recognition. We predicted that professional actors express emotions in a more realistic fashion than non-professional actors. However, professional acting training may lead to a particular speech pattern; this might account for vocal expressions by actors that are less comparable to authentic samples than the ones by non-professional actors. We compared 80 emotional speech tokens from radio interviews with 80 re-enactments by professional and inexperienced actors, respectively. We analyzed recognition accuracies for emotion and authenticity ratings and compared the acoustic structure of the speech tokens. Both play-acted conditions yielded similar recognition accuracies and possessed more variable pitch contours than the spontaneous recordings. However, professional actors exhibited signs of different articulation patterns compared to non-trained speakers. Our results indicate that for emotion research, emotional expressions by professional actors are not better suited than those from non-actors.
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Towards a Cloud Based Smart Traffic Management Framework
NASA Astrophysics Data System (ADS)
Rahimi, M. M.; Hakimpour, F.
2017-09-01
Traffic big data has brought many opportunities for traffic management applications. However several challenges like heterogeneity, storage, management, processing and analysis of traffic big data may hinder their efficient and real-time applications. All these challenges call for well-adapted distributed framework for smart traffic management that can efficiently handle big traffic data integration, indexing, query processing, mining and analysis. In this paper, we present a novel, distributed, scalable and efficient framework for traffic management applications. The proposed cloud computing based framework can answer technical challenges for efficient and real-time storage, management, process and analyse of traffic big data. For evaluation of the framework, we have used OpenStreetMap (OSM) real trajectories and road network on a distributed environment. Our evaluation results indicate that speed of data importing to this framework exceeds 8000 records per second when the size of datasets is near to 5 million. We also evaluate performance of data retrieval in our proposed framework. The data retrieval speed exceeds 15000 records per second when the size of datasets is near to 5 million. We have also evaluated scalability and performance of our proposed framework using parallelisation of a critical pre-analysis in transportation applications. The results show that proposed framework achieves considerable performance and efficiency in traffic management applications.
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Rütten, A; Wolff, A; Streber, A
2016-03-01
This article discusses 2 current issues in the field of public health research: (i) transfer of scientific knowledge into practice and (ii) sustainable implementation of good practice projects. It also supports integration of scientific and practice-based evidence production. Furthermore, it supports utilisation of interactive models that transcend deductive approaches to the process of knowledge transfer. Existing theoretical approaches, pilot studies and thoughtful conceptual considerations are incorporated into a framework showing the interplay of science, politics and prevention practice, which fosters a more sustainable implementation of health promotion programmes. The framework depicts 4 key processes of interaction between science and prevention practice: interactive knowledge to action, capacity building, programme adaptation and adaptation of the implementation context. Ensuring sustainability of health promotion programmes requires a concentrated process of integrating scientific and practice-based evidence production in the context of implementation. Central to the integration process is the approach of interactive knowledge to action, which especially benefits from capacity building processes that facilitate participation and systematic interaction between relevant stakeholders. Intense cooperation also induces a dynamic interaction between multiple actors and components such as health promotion programmes, target groups, relevant organisations and social, cultural and political contexts. The reciprocal adaptation of programmes and key components of the implementation context can foster effectiveness and sustainability of programmes. Sustainable implementation of evidence-based health promotion programmes requires alternatives to recent deductive models of knowledge transfer. Interactive approaches prove to be promising alternatives. Simultaneously, they change the responsibilities of science, policy and public health practice. Existing boundaries
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Comparison of Physics Frameworks for WebGL-Based Game Engine
NASA Astrophysics Data System (ADS)
Yogya, Resa; Kosala, Raymond
2014-03-01
Recently, a new technology called WebGL shows a lot of potentials for developing games. However since this technology is still new, there are still many potentials in the game development area that are not explored yet. This paper tries to uncover the potential of integrating physics frameworks with WebGL technology in a game engine for developing 2D or 3D games. Specifically we integrated three open source physics frameworks: Bullet, Cannon, and JigLib into a WebGL-based game engine. Using experiment, we assessed these frameworks in terms of their correctness or accuracy, performance, completeness and compatibility. The results show that it is possible to integrate open source physics frameworks into a WebGLbased game engine, and Bullet is the best physics framework to be integrated into the WebGL-based game engine.
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Network Community Detection based on the Physarum-inspired Computational Framework.
Gao, Chao; Liang, Mingxin; Li, Xianghua; Zhang, Zili; Wang, Zhen; Zhou, Zhili
2016-12-13
Community detection is a crucial and essential problem in the structure analytics of complex networks, which can help us understand and predict the characteristics and functions of complex networks. Many methods, ranging from the optimization-based algorithms to the heuristic-based algorithms, have been proposed for solving such a problem. Due to the inherent complexity of identifying network structure, how to design an effective algorithm with a higher accuracy and a lower computational cost still remains an open problem. Inspired by the computational capability and positive feedback mechanism in the wake of foraging process of Physarum, which is a large amoeba-like cell consisting of a dendritic network of tube-like pseudopodia, a general Physarum-based computational framework for community detection is proposed in this paper. Based on the proposed framework, the inter-community edges can be identified from the intra-community edges in a network and the positive feedback of solving process in an algorithm can be further enhanced, which are used to improve the efficiency of original optimization-based and heuristic-based community detection algorithms, respectively. Some typical algorithms (e.g., genetic algorithm, ant colony optimization algorithm, and Markov clustering algorithm) and real-world datasets have been used to estimate the efficiency of our proposed computational framework. Experiments show that the algorithms optimized by Physarum-inspired computational framework perform better than the original ones, in terms of accuracy and computational cost. Moreover, a computational complexity analysis verifies the scalability of our framework.
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[Actor as a simulated patient in medical education at the University of Pécs].
Koppán, Ágnes; Eklicsné Lepenye, Katalin; Halász, Renáta; Sebők, Judit; Szemán, Eszter; Németh, Zsuzsanna; Rendeki, Szilárd
2017-07-01
Medical training in the 21st century faces simulation-based education as one of the challenges that efficiently contributes to clinical skills development while moderating the burden on the clinicians and patients alike. The University of Pécs, Medical School has launched a simulation program in the MediSkillsLab based on history taking with actors to improve patient interviewing communication skills. This new program was inspired by experiences gathered in previous medical language teaching and integrates the method of the "Standardized Patient Program". The method has been applied in America since the 1960s. This is the first time the program has been introduced in Hungary and implemented in an interdisciplinary design, where medical specialists, linguists, actor-patients and medical students collaborate to improve professional, language and communicative competence of the students. A course like this has its pivotal role in the medical training, and as a result more efficient and patient-oriented communication may take place at the clinical setting. Orv Hetil. 2017; 158(26): 1022-1027.
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ENGAGE: A Game Based Learning and Problem Solving Framework
2012-07-13
Gamification Summit 2012 Mensa Colloquium 2012.2: Social and Video Games Seattle Science Festival TED Salon Vancouver : http...From - To) 6/1/2012 – 6/30/2012 4. TITLE AND SUBTITLE ENGAGE: A Game Based Learning and Problem Solving Framework 5a. CONTRACT NUMBER N/A 5b...Popović ENGAGE: A Game Based Learning and Problem Solving Framework (Task 1 Month 4) Progress, Status and Management Report Monthly Progress
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Towards a Transferable UAV-Based Framework for River Hydromorphological Characterization
González, Rocío Ballesteros; Leinster, Paul; Wright, Ros
2017-01-01
The multiple protocols that have been developed to characterize river hydromorphology, partly in response to legislative drivers such as the European Union Water Framework Directive (EU WFD), make the comparison of results obtained in different countries challenging. Recent studies have analyzed the comparability of existing methods, with remote sensing based approaches being proposed as a potential means of harmonizing hydromorphological characterization protocols. However, the resolution achieved by remote sensing products may not be sufficient to assess some of the key hydromorphological features that are required to allow an accurate characterization. Methodologies based on high resolution aerial photography taken from Unmanned Aerial Vehicles (UAVs) have been proposed by several authors as potential approaches to overcome these limitations. Here, we explore the applicability of an existing UAV based framework for hydromorphological characterization to three different fluvial settings representing some of the distinct ecoregions defined by the WFD geographical intercalibration groups (GIGs). The framework is based on the automated recognition of hydromorphological features via tested and validated Artificial Neural Networks (ANNs). Results show that the framework is transferable to the Central-Baltic and Mediterranean GIGs with accuracies in feature identification above 70%. Accuracies of 50% are achieved when the framework is implemented in the Very Large Rivers GIG. The framework successfully identified vegetation, deep water, shallow water, riffles, side bars and shadows for the majority of the reaches. However, further algorithm development is required to ensure a wider range of features (e.g., chutes, structures and erosion) are accurately identified. This study also highlights the need to develop an objective and fit for purpose hydromorphological characterization framework to be adopted within all EU member states to facilitate comparison of results
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Towards a Transferable UAV-Based Framework for River Hydromorphological Characterization.
Rivas Casado, Mónica; González, Rocío Ballesteros; Ortega, José Fernando; Leinster, Paul; Wright, Ros
2017-09-26
The multiple protocols that have been developed to characterize river hydromorphology, partly in response to legislative drivers such as the European Union Water Framework Directive (EU WFD), make the comparison of results obtained in different countries challenging. Recent studies have analyzed the comparability of existing methods, with remote sensing based approaches being proposed as a potential means of harmonizing hydromorphological characterization protocols. However, the resolution achieved by remote sensing products may not be sufficient to assess some of the key hydromorphological features that are required to allow an accurate characterization. Methodologies based on high resolution aerial photography taken from Unmanned Aerial Vehicles (UAVs) have been proposed by several authors as potential approaches to overcome these limitations. Here, we explore the applicability of an existing UAV based framework for hydromorphological characterization to three different fluvial settings representing some of the distinct ecoregions defined by the WFD geographical intercalibration groups (GIGs). The framework is based on the automated recognition of hydromorphological features via tested and validated Artificial Neural Networks (ANNs). Results show that the framework is transferable to the Central-Baltic and Mediterranean GIGs with accuracies in feature identification above 70%. Accuracies of 50% are achieved when the framework is implemented in the Very Large Rivers GIG. The framework successfully identified vegetation, deep water, shallow water, riffles, side bars and shadows for the majority of the reaches. However, further algorithm development is required to ensure a wider range of features (e.g., chutes, structures and erosion) are accurately identified. This study also highlights the need to develop an objective and fit for purpose hydromorphological characterization framework to be adopted within all EU member states to facilitate comparison of results.
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Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts
Vraga, Emily; Lamprianidis, Georgios; Radzikowski, Jacek; Delamater, Paul L; Jacobsen, Kathryn H; Pfoser, Dieter; Croitoru, Arie; Crooks, Andrew
2017-01-01
Background The recent Zika outbreak witnessed the disease evolving from a regional health concern to a global epidemic. During this process, different communities across the globe became involved in Twitter, discussing the disease and key issues associated with it. This paper presents a study of this discussion in Twitter, at the nexus of location, actors, and concepts. Objective Our objective in this study was to demonstrate the significance of 3 types of events: location related, actor related, and concept related, for understanding how a public health emergency of international concern plays out in social media, and Twitter in particular. Accordingly, the study contributes to research efforts toward gaining insights on the mechanisms that drive participation, contributions, and interaction in this social media platform during a disease outbreak. Methods We collected 6,249,626 tweets referring to the Zika outbreak over a period of 12 weeks early in the outbreak (December 2015 through March 2016). We analyzed this data corpus in terms of its geographical footprint, the actors participating in the discourse, and emerging concepts associated with the issue. Data were visualized and evaluated with spatiotemporal and network analysis tools to capture the evolution of interest on the topic and to reveal connections between locations, actors, and concepts in the form of interaction networks. Results The spatiotemporal analysis of Twitter contributions reflects the spread of interest in Zika from its original hotspot in South America to North America and then across the globe. The Centers for Disease Control and World Health Organization had a prominent presence in social media discussions. Tweets about pregnancy and abortion increased as more information about this emerging infectious disease was presented to the public and public figures became involved in this. Conclusions The results of this study show the utility of analyzing temporal variations in the analytic
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GPU based framework for geospatial analyses
NASA Astrophysics Data System (ADS)
Cosmin Sandric, Ionut; Ionita, Cristian; Dardala, Marian; Furtuna, Titus
2017-04-01
Parallel processing on multiple CPU cores is already used at large scale in geocomputing, but parallel processing on graphics cards is just at the beginning. Being able to use an simple laptop with a dedicated graphics card for advanced and very fast geocomputation is an advantage that each scientist wants to have. The necessity to have high speed computation in geosciences has increased in the last 10 years, mostly due to the increase in the available datasets. These datasets are becoming more and more detailed and hence they require more space to store and more time to process. Distributed computation on multicore CPU's and GPU's plays an important role by processing one by one small parts from these big datasets. These way of computations allows to speed up the process, because instead of using just one process for each dataset, the user can use all the cores from a CPU or up to hundreds of cores from GPU The framework provide to the end user a standalone tools for morphometry analyses at multiscale level. An important part of the framework is dedicated to uncertainty propagation in geospatial analyses. The uncertainty may come from the data collection or may be induced by the model or may have an infinite sources. These uncertainties plays important roles when a spatial delineation of the phenomena is modelled. Uncertainty propagation is implemented inside the GPU framework using Monte Carlo simulations. The GPU framework with the standalone tools proved to be a reliable tool for modelling complex natural phenomena The framework is based on NVidia Cuda technology and is written in C++ programming language. The code source will be available on github at https://github.com/sandricionut/GeoRsGPU Acknowledgement: GPU framework for geospatial analysis, Young Researchers Grant (ICUB-University of Bucharest) 2016, director Ionut Sandric
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Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework
NASA Astrophysics Data System (ADS)
Afsordegan, A.; Sánchez, M.; Agell, N.; Aguado, J. C.; Gamboa, G.
2016-03-01
A social multi-criteria evaluation framework for solving a real-case problem of selecting a wind farm location in the regions of Urgell and Conca de Barberá in Catalonia (northeast of Spain) is studied. This paper applies a qualitative multi-criteria decision analysis approach based on linguistic labels assessment able to address uncertainty and deal with different levels of precision. This method is based on qualitative reasoning as an artificial intelligence technique for assessing and ranking multi-attribute alternatives with linguistic labels in order to handle uncertainty. This method is suitable for problems in the social framework such as energy planning which require the construction of a dialogue process among many social actors with high level of complexity and uncertainty. The method is compared with an existing approach, which has been applied previously in the wind farm location problem. This approach, consisting of an outranking method, is based on Condorcet's original method. The results obtained by both approaches are analysed and their performance in the selection of the wind farm location is compared in aggregation procedures. Although results show that both methods conduct to similar alternatives rankings, the study highlights both their advantages and drawbacks.
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Borland, Ron; Coghill, Ken
2010-01-01
Complex, transnational issues like the tobacco epidemic are major challenges that defy analysis and management by conventional methods, as are other public health issues, such as those associated with global food distribution and climate change. We examined the evolution of indoor smoke-free regulations, a tobacco control policy innovation, and identified the key attributes of those jurisdictions that successfully pursued this innovation and those that to date have not. In doing so, we employed the actor-network theory, a comprehensive framework for the analysis of fundamental system change. Through our analysis, we identified approaches to help overcome some systemic barriers to the solution of the tobacco problem and comment on other complex transnational problems. PMID:20466949
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Young, David; Borland, Ron; Coghill, Ken
2010-07-01
Complex, transnational issues like the tobacco epidemic are major challenges that defy analysis and management by conventional methods, as are other public health issues, such as those associated with global food distribution and climate change. We examined the evolution of indoor smoke-free regulations, a tobacco control policy innovation, and identified the key attributes of those jurisdictions that successfully pursued this innovation and those that to date have not. In doing so, we employed the actor-network theory, a comprehensive framework for the analysis of fundamental system change. Through our analysis, we identified approaches to help overcome some systemic barriers to the solution of the tobacco problem and comment on other complex transnational problems.
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ACToR A Aggregated Computational Toxicology Resource (S)
We are developing the ACToR system (Aggregated Computational Toxicology Resource) to serve as a repository for a variety of types of chemical, biological and toxicological data that can be used for predictive modeling of chemical toxicology.
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Mathematical Frameworks for Diagnostics, Prognostics and Condition Based Maintenance Problems
2008-08-15
REPORT Mathematical Frameworks for Diagnostics, Prognostics and Condition Based Maintenance Problems (W911NF-05-1-0426) 14. ABSTRACT 16. SECURITY ...other documentation. 12. DISTRIBUTION AVAILIBILITY STATEMENT Approved for Public Release; Distribution Unlimited 9. SPONSORING/MONITORING AGENCY NAME...parallel and distributed computing environment were researched. In support of the Condition Based Maintenance (CBM) philosophy, a theoretical framework
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LGBTQ relationally based positive psychology: An inclusive and systemic framework.
Domínguez, Daniela G; Bobele, Monte; Coppock, Jacqueline; Peña, Ezequiel
2015-05-01
Positive psychologists have contributed to our understandings of how positive emotions and flexible cognition enhance resiliency. However, positive psychologists' research has been slow to address the relational resources and interactions that help nonheterosexual families overcome adversity. Addressing overlooked lesbian, gay, bisexual, transgender, or queer (LGBTQ) and systemic factors in positive psychology, this article draws on family resilience literature and LGBTQ literature to theorize a systemic positive psychology framework for working with nonheterosexual families. We developed the LGBTQ relationally based positive psychology framework that integrates positive psychology's strengths-based perspective with the systemic orientation of Walsh's (1996) family resilience framework along with the cultural considerations proposed by LGBTQ family literature. We theorize that the LGBTQ relationally based positive psychology framework takes into consideration the sociopolitical adversities impacting nonheterosexual families and sensitizes positive psychologists, including those working in organized care settings, to the systemic interactions of same-sex loving relationships. (c) 2015 APA, all rights reserved).
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Policy Actors: Doing Policy Work in Schools
ERIC Educational Resources Information Center
Ball, Stephen J.; Maguire, Meg; Braun, Annette; Hoskins, Kate
2011-01-01
This paper considers the "policy work" of teacher actors in schools. It focuses on the "problem of meaning" and offers a typology of roles and positions through which teachers engage with policy and with which policies get "enacted". It argues that "policy work" is made up of a set of complex and…
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ACToR - Aggregated Computational Toxicology Resource ...
There are too many uncharacterized environmental chemicals to test with current in vivo protocols. Develop predictive in vitro screening assays that can be used to prioritize chemicals for detailed testing. ToxCast program requires large amounts of data: In vitro assays (mainly generated by ToxCast program) and In vivo data to develop and validate predictive signatures ACToR is compiling both sets of data for use in predictive algorithms.
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Models and Frameworks: A Synergistic Association for Developing Component-Based Applications
Sánchez-Ledesma, Francisco; Sánchez, Pedro; Pastor, Juan A.; Álvarez, Bárbara
2014-01-01
The use of frameworks and components has been shown to be effective in improving software productivity and quality. However, the results in terms of reuse and standardization show a dearth of portability either of designs or of component-based implementations. This paper, which is based on the model driven software development paradigm, presents an approach that separates the description of component-based applications from their possible implementations for different platforms. This separation is supported by automatic integration of the code obtained from the input models into frameworks implemented using object-oriented technology. Thus, the approach combines the benefits of modeling applications from a higher level of abstraction than objects, with the higher levels of code reuse provided by frameworks. In order to illustrate the benefits of the proposed approach, two representative case studies that use both an existing framework and an ad hoc framework, are described. Finally, our approach is compared with other alternatives in terms of the cost of software development. PMID:25147858
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Models and frameworks: a synergistic association for developing component-based applications.
Alonso, Diego; Sánchez-Ledesma, Francisco; Sánchez, Pedro; Pastor, Juan A; Álvarez, Bárbara
2014-01-01
The use of frameworks and components has been shown to be effective in improving software productivity and quality. However, the results in terms of reuse and standardization show a dearth of portability either of designs or of component-based implementations. This paper, which is based on the model driven software development paradigm, presents an approach that separates the description of component-based applications from their possible implementations for different platforms. This separation is supported by automatic integration of the code obtained from the input models into frameworks implemented using object-oriented technology. Thus, the approach combines the benefits of modeling applications from a higher level of abstraction than objects, with the higher levels of code reuse provided by frameworks. In order to illustrate the benefits of the proposed approach, two representative case studies that use both an existing framework and an ad hoc framework, are described. Finally, our approach is compared with other alternatives in terms of the cost of software development.
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Children's Moral Judgments as a Function of Intention, Damage, and an Actor's Physical Harm.
ERIC Educational Resources Information Center
Suls, Jerry; Kalle, Robert J.
1979-01-01
Examines children's moral judgments of story characters who accidently harm themselves. Children in kindergarten and in grades 3 and 5 rated actors in stories which varied in terms of intention, damage, and harm to the actor. (SS)
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Chmiel, Aviva S; Shaha, Maya; Schneider, Daniel K
2017-01-01
The aim of this research is to develop a comprehensive evaluation framework involving all actors in a higher education blended learning (BL) program. BL evaluation usually either focuses on students, faculty, technological or institutional aspects. Currently, no validated comprehensive monitoring tool exists that can support introduction and further implementation of BL in a higher education context. Starting from established evaluation principles and standards, concepts that were to be evaluated were firstly identified and grouped. In a second step, related BL evaluation tools referring to students, faculty and institutional level were selected. This allowed setting up and implementing an evaluation framework to monitor the introduction of BL during two succeeding recurrences of the program. The results of the evaluation allowed documenting strengths and weaknesses of the BL format in a comprehensive way, involving all actors. It has led to improvements at program, faculty and course level. The evaluation process and the reporting of the results proved to be demanding in time and personal resources. The evaluation framework allows measuring the most significant dimensions influencing the success of a BL implementation at program level. However, this comprehensive evaluation is resource intensive. Further steps will be to refine the framework towards a sustainable and transferable BL monitoring tool that finds a balance between comprehensiveness and efficiency. Copyright © 2016 Elsevier Ltd. All rights reserved.
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Actor or arena: contrasting translations of a law on interorganizational integration.
Andersson, Johanna; Löfström, Mikael; Axelsson, Susanna Bihari; Axelsson, Runo
2012-01-01
A Swedish framework law has enabled integration between public agencies in vocational rehabilitation. With the support of this law, coordination associations can be formed to fund and organize joint activities. The purpose of this study is to describe and analyze how the law has been interpreted and translated into local coordination associations and how local institutional logics have developed to guide the organization of these associations. Data was collected through observations of meetings within two coordination associations and supplemented with documents. The material was analyzed by compilation and examination of data from field notes, whereupon the most important aspects were crystallized and framed with institutional organization theory. Two different translations of the law were seen in the associations studied: the association as an independent actor, and as an arena for its member organizations. Two subsequent institutional logics have developed, influencing decisions on autonomy, objectives and rationality for initiating and organizing in the two associations and their activities. The institutional logics are circular, further enhancing the different translations creating different forms of integration. Both forms of integration are legitimate, but the different translations have created integration with different degrees of autonomy in relation to the member organizations. Only a long-term analysis can show whether one form of integration is more functional than the other. This article is based on an extensive material providing insights into a form of interorganizational integration which has been scarcely researched. The findings show how different translations can influence the integration of welfare services.
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Argumentation in Science Education: A Model-Based Framework
ERIC Educational Resources Information Center
Bottcher, Florian; Meisert, Anke
2011-01-01
The goal of this article is threefold: First, the theoretical background for a model-based framework of argumentation to describe and evaluate argumentative processes in science education is presented. Based on the general model-based perspective in cognitive science and the philosophy of science, it is proposed to understand arguments as reasons…
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Developing a theoretical framework for complex community-based interventions.
Angeles, Ricardo N; Dolovich, Lisa; Kaczorowski, Janusz; Thabane, Lehana
2014-01-01
Applying existing theories to research, in the form of a theoretical framework, is necessary to advance knowledge from what is already known toward the next steps to be taken. This article proposes a guide on how to develop a theoretical framework for complex community-based interventions using the Cardiovascular Health Awareness Program as an example. Developing a theoretical framework starts with identifying the intervention's essential elements. Subsequent steps include the following: (a) identifying and defining the different variables (independent, dependent, mediating/intervening, moderating, and control); (b) postulating mechanisms how the independent variables will lead to the dependent variables; (c) identifying existing theoretical models supporting the theoretical framework under development; (d) scripting the theoretical framework into a figure or sets of statements as a series of hypotheses, if/then logic statements, or a visual model; (e) content and face validation of the theoretical framework; and (f) revising the theoretical framework. In our example, we combined the "diffusion of innovation theory" and the "health belief model" to develop our framework. Using the Cardiovascular Health Awareness Program as the model, we demonstrated a stepwise process of developing a theoretical framework. The challenges encountered are described, and an overview of the strategies employed to overcome these challenges is presented.
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NASA Astrophysics Data System (ADS)
Vermoolen, Myrthe; Hermans, Leon
2016-04-01
drinking water, but negative consequences for the ecological quality and biodiversity. In the 1980s environmental awareness increased. To restore natural processes, it was decided in 2000 to put the sluices 'ajar' as a first step towards the strategic long-term vision of tidal restoration and major rehabilitation of the Rhine-Meuse estuary. First planning was to have the Kierbesluit implemented in 2005. However, this has been put off again and again, and since the actual implementation started in 2013, planning is to have the infrastructures ready to start opening the sluices in 2018 - 13 years later. What was supposed to be the first step towards full estuarine recovery has become an end goal itself, with implementing actors strictly focusing on putting the sluices ajar and compensating for fresh water loss, dismissing building with nature possibilities behind the dam. The Advocacy Coalition Framework is used as a starting point for analysis, and will be altered and detailed with insights from implementation literature to identify lessons regarding the role and dynamics of actor coalitions from the planning to implementation stage of strategic delta planning.
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Babar, Muhammad Imran; Ghazali, Masitah; Jawawi, Dayang N A; Bin Zaheer, Kashif
2015-01-01
Value-based requirements engineering plays a vital role in the development of value-based software (VBS). Stakeholders are the key players in the requirements engineering process, and the selection of critical stakeholders for the VBS systems is highly desirable. Based on the stakeholder requirements, the innovative or value-based idea is realized. The quality of the VBS system is associated with the concrete set of valuable requirements, and the valuable requirements can only be obtained if all the relevant valuable stakeholders participate in the requirements elicitation phase. The existing value-based approaches focus on the design of the VBS systems. However, the focus on the valuable stakeholders and requirements is inadequate. The current stakeholder identification and quantification (SIQ) approaches are neither state-of-the-art nor systematic for the VBS systems. The existing approaches are time-consuming, complex and inconsistent which makes the initiation process difficult. Moreover, the main motivation of this research is that the existing SIQ approaches do not provide the low level implementation details for SIQ initiation and stakeholder metrics for quantification. Hence, keeping in view the existing SIQ problems, this research contributes in the form of a new SIQ framework called 'StakeMeter'. The StakeMeter framework is verified and validated through case studies. The proposed framework provides low-level implementation guidelines, attributes, metrics, quantification criteria and application procedure as compared to the other methods. The proposed framework solves the issues of stakeholder quantification or prioritization, higher time consumption, complexity, and process initiation. The framework helps in the selection of highly critical stakeholders for the VBS systems with less judgmental error.
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Babar, Muhammad Imran; Ghazali, Masitah; Jawawi, Dayang N. A.; Zaheer, Kashif Bin
2015-01-01
Value-based requirements engineering plays a vital role in the development of value-based software (VBS). Stakeholders are the key players in the requirements engineering process, and the selection of critical stakeholders for the VBS systems is highly desirable. Based on the stakeholder requirements, the innovative or value-based idea is realized. The quality of the VBS system is associated with the concrete set of valuable requirements, and the valuable requirements can only be obtained if all the relevant valuable stakeholders participate in the requirements elicitation phase. The existing value-based approaches focus on the design of the VBS systems. However, the focus on the valuable stakeholders and requirements is inadequate. The current stakeholder identification and quantification (SIQ) approaches are neither state-of-the-art nor systematic for the VBS systems. The existing approaches are time-consuming, complex and inconsistent which makes the initiation process difficult. Moreover, the main motivation of this research is that the existing SIQ approaches do not provide the low level implementation details for SIQ initiation and stakeholder metrics for quantification. Hence, keeping in view the existing SIQ problems, this research contributes in the form of a new SIQ framework called ‘StakeMeter’. The StakeMeter framework is verified and validated through case studies. The proposed framework provides low-level implementation guidelines, attributes, metrics, quantification criteria and application procedure as compared to the other methods. The proposed framework solves the issues of stakeholder quantification or prioritization, higher time consumption, complexity, and process initiation. The framework helps in the selection of highly critical stakeholders for the VBS systems with less judgmental error. PMID:25799490
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Anderson, Leslie Margaret
2011-09-01
The number of child actors on television, in movies, and on stage has increased dramatically in recent years. While many regulations and laws are in place to protect the physical and financial well-being of these young performers, little attention has been given to their psychological health and the strength of their self-concepts. This paper reviews the literature related to child actors' psychological well-being and makes a case for future research into the topic. Available data are very limited but suggest that actors may have a weaker self-concept and more psychological concerns than people who are not actors, and that the personalities and behaviors actors display publically may be incorporated into their self-concepts. As a result, child actors appear to have unique psychological needs that should be addressed.
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Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts.
Stefanidis, Anthony; Vraga, Emily; Lamprianidis, Georgios; Radzikowski, Jacek; Delamater, Paul L; Jacobsen, Kathryn H; Pfoser, Dieter; Croitoru, Arie; Crooks, Andrew
2017-04-20
The recent Zika outbreak witnessed the disease evolving from a regional health concern to a global epidemic. During this process, different communities across the globe became involved in Twitter, discussing the disease and key issues associated with it. This paper presents a study of this discussion in Twitter, at the nexus of location, actors, and concepts. Our objective in this study was to demonstrate the significance of 3 types of events: location related, actor related, and concept related, for understanding how a public health emergency of international concern plays out in social media, and Twitter in particular. Accordingly, the study contributes to research efforts toward gaining insights on the mechanisms that drive participation, contributions, and interaction in this social media platform during a disease outbreak. We collected 6,249,626 tweets referring to the Zika outbreak over a period of 12 weeks early in the outbreak (December 2015 through March 2016). We analyzed this data corpus in terms of its geographical footprint, the actors participating in the discourse, and emerging concepts associated with the issue. Data were visualized and evaluated with spatiotemporal and network analysis tools to capture the evolution of interest on the topic and to reveal connections between locations, actors, and concepts in the form of interaction networks. The spatiotemporal analysis of Twitter contributions reflects the spread of interest in Zika from its original hotspot in South America to North America and then across the globe. The Centers for Disease Control and World Health Organization had a prominent presence in social media discussions. Tweets about pregnancy and abortion increased as more information about this emerging infectious disease was presented to the public and public figures became involved in this. The results of this study show the utility of analyzing temporal variations in the analytic triad of locations, actors, and concepts. This
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Titanium-based Organic Frameworks for Chemical Transformations
Metal–organic frameworks (MOFs) based on organic bridging ligands are a promising class of highly ordered porous materials1 with potential applications in catalysis, gas storage and photoelectric devices. The availability of external surface of the solid-state catalysts plays an ...
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Searching for realism, structure and agency in Actor Network Theory.
Elder-Vass, Dave
2008-09-01
Superficially, Actor Network Theory (ANT) and critical realism (CR) are radically opposed research traditions. Written from a realist perspective, this paper asks whether there might be a basis for finding common ground between these two traditions. It looks in turn at the questions of realism, structure, and agency, analysing the differences between the two perspectives and seeking to identify what each might learn from the other. Overall, the paper argues that there is a great deal that realists can learn from actor network theory; yet ANT remains stunted by its lack of a depth ontology. It fails to recognize the significance of mechanisms, and of their dependence on emergence, and thus lacks both dimensions of the depth that is characteristic of critical realism's ontology. This prevents ANT from recognizing the role and powers of social structure; but on the other hand, realists would do well to heed ANT's call for us to trace the connections through which structures are constantly made and remade. A lack of ontological depth also underpins ANT's practice of treating human and non-human actors symmetrically, yet this remains a valuable provocation to sociologists who neglect non-human entities entirely.
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ERIC Educational Resources Information Center
Waltz, Scott B.
2006-01-01
The aim of this paper is to call attention to the missing discourse of non-humans as social actors in the Social Foundations of Education. The paper outlines three common figuring metaphors that impede the adoption of such a theoretical discourse and shows how Actor-Network Theory (ANT), more recently developed in the nascent field of Science and…
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Development of a competency framework for evidence-based practice in nursing.
Leung, Kat; Trevena, Lyndal; Waters, Donna
2016-04-01
The measurement of competence in evidence-based practice (EBP) remains challenging to many educators and academics due to the lack of explicit competency criteria. Much uncertainty exists about what specific EBP competencies nurses should meet and how these should be measured. The objectives of this study are to develop a competency framework for measuring evidence-based knowledge and skills in nursing and to elicit the views of health educators/researchers about elements within the framework. A descriptive survey design with questionnaire. Between August and December 2013, forty-two health academics/educators, clinicians; and researchers from the medical and nursing schools at the University of Sydney and the Nurse Teacher's Society in Australia were invited to comment on proposed elements for measuring evidence-based knowledge and skills. The EBP competency framework was designed to measure nurses' knowledge and skills for using evidence in practice. Participants were invited to rate their agreement on the structure and relevance of the framework and to state their opinion about the measurement criteria for evidence-based nursing practice. Participant agreement on the structure and relevance of the framework was substantial, ICC: 0.80, 95% CI: 0.67-0.88, P<0.0001. Qualitative analysis of two open-ended survey questions revealed three common themes in participants' opinion of the competency elements: (1) a useful EBP framework; (2) varying expectations of EBP competence; and (3) challenges to EBP implementation. The findings of this study suggested that the EBP competency framework is of credible value for facilitating evidence-based practice education and research in nursing. However, there remains some uncertainty and disagreement about the levels of EBP competence required for nurses. These challenges further implicate the need for setting a reasonable competency benchmark with a broader group of stakeholders in nursing. Copyright © 2016 Elsevier Ltd. All
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Private actors, global health and learning the lessons of history.
Youde, Jeremy
2016-01-01
Private business and philanthropic organizations have played a prominent role in the response to the Ebola outbreak in West Africa and the support of global health governance more broadly. While this involvement may appear to be novel or unprecedented, this article argues that this active role for private actors and philanthropies actually mirrors the historical experience of cross-border health governance in the first half of the twentieth century. By examining the experiences, roles and criticisms of the Rockefeller Foundation's International Health Division and the Bill and Melinda Gates Foundation, it is possible to identify potential opportunities for better cooperation between public and private actors in global health governance.
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International non-governmental actors in HIV/AIDS prevention in China.
Wu, Feng Shi
2005-01-01
International non-governmental organizations were among the first international actors that responded to the emergence of AIDS crisis in China. Since 1994, the number of international non-governmental organizations and charitable foundations working in AIDS related issue areas in China has grown steadily and substantially. Despite their organizational differences, most of these non-governmental actors present the characteristics of independent mission, localized practice and diverse working focus. Even though they are constrained by financial and other factors compared with multilateral and bilateral official assistance agencies, they have still played a unique role in fighting against AIDS in China as technical experts, public educators, and civil society supporters.
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Hong, Sehee; Kim, Soyoung
2018-01-01
There are basically two modeling approaches applicable to analyzing an actor-partner interdependence model: the multilevel modeling (hierarchical linear model) and the structural equation modeling. This article explains how to use these two models in analyzing an actor-partner interdependence model and how these two approaches work differently. As an empirical example, marital conflict data were used to analyze an actor-partner interdependence model. The multilevel modeling and the structural equation modeling produced virtually identical estimates for a basic model. However, the structural equation modeling approach allowed more realistic assumptions on measurement errors and factor loadings, rendering better model fit indices.
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Dealing with Actors and Compliance in Intervention Operations in a Non-permissive Hybrid Environment
2009-12-01
Patton, (2002). Qualitative research & evaluation methods (Vol. Third). California, London, New Delhi: Sage publications, Inc. 59 See these themes...non-compliant actors … … the study follows a question based approach with a general research question in the centre of interest:12 Which...1 Version 1.0 December 2009 Study authors: Col Dieter Muhr (AUT) Hon. Assoc. Prof. Dr. Andrea Riemer, Ph.D. (AUT) Objective
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An Uncertainty Quantification Framework for Prognostics and Condition-Based Monitoring
NASA Technical Reports Server (NTRS)
Sankararaman, Shankar; Goebel, Kai
2014-01-01
This paper presents a computational framework for uncertainty quantification in prognostics in the context of condition-based monitoring of aerospace systems. The different sources of uncertainty and the various uncertainty quantification activities in condition-based prognostics are outlined in detail, and it is demonstrated that the Bayesian subjective approach is suitable for interpreting uncertainty in online monitoring. A state-space model-based framework for prognostics, that can rigorously account for the various sources of uncertainty, is presented. Prognostics consists of two important steps. First, the state of the system is estimated using Bayesian tracking, and then, the future states of the system are predicted until failure, thereby computing the remaining useful life of the system. The proposed framework is illustrated using the power system of a planetary rover test-bed, which is being developed and studied at NASA Ames Research Center.
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NASA Astrophysics Data System (ADS)
Zendejas, Gerardo; Chiasson, Mike
This paper will propose and explore a method to enhance focal actors' abilities to enroll and control the many social and technical components interacting during the initiation, production, and diffusion of innovations. The reassembling and stabilizing of such components is the challenging goal of the focal actors involved in these processes. To address this possibility, a healthcare project involving the initiation, production, and diffusion of an IT-based innovation will be influenced by the researcher, using concepts from actor network theory (ANT), within an action research methodology (ARM). The experiences using this method, and the nature of enrolment and translation during its use, will highlight if and how ANT can provide a problem-solving method to help assemble the social and technical actants involved in the diffusion of an innovation. Finally, the paper will discuss the challenges and benefits of implementing such methods to attain widespread diffusion.
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Younghak Shin; Balasingham, Ilangko
2017-07-01
Colonoscopy is a standard method for screening polyps by highly trained physicians. Miss-detected polyps in colonoscopy are potential risk factor for colorectal cancer. In this study, we investigate an automatic polyp classification framework. We aim to compare two different approaches named hand-craft feature method and convolutional neural network (CNN) based deep learning method. Combined shape and color features are used for hand craft feature extraction and support vector machine (SVM) method is adopted for classification. For CNN approach, three convolution and pooling based deep learning framework is used for classification purpose. The proposed framework is evaluated using three public polyp databases. From the experimental results, we have shown that the CNN based deep learning framework shows better classification performance than the hand-craft feature based methods. It achieves over 90% of classification accuracy, sensitivity, specificity and precision.
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A Model Independent S/W Framework for Search-Based Software Testing
Baik, Jongmoon
2014-01-01
In Model-Based Testing (MBT) area, Search-Based Software Testing (SBST) has been employed to generate test cases from the model of a system under test. However, many types of models have been used in MBT. If the type of a model has changed from one to another, all functions of a search technique must be reimplemented because the types of models are different even if the same search technique has been applied. It requires too much time and effort to implement the same algorithm over and over again. We propose a model-independent software framework for SBST, which can reduce redundant works. The framework provides a reusable common software platform to reduce time and effort. The software framework not only presents design patterns to find test cases for a target model but also reduces development time by using common functions provided in the framework. We show the effectiveness and efficiency of the proposed framework with two case studies. The framework improves the productivity by about 50% when changing the type of a model. PMID:25302314
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McElwain, Nancy L; Holland, Ashley S; Engle, Jennifer M; Ogolsky, Brian G
2014-06-01
Guided by a dyadic view of children's peer behavior, this study assessed actor and partner effects of attachment security and temperament on young children's behavior with an unfamiliar peer. At 33 months of age, child-mother attachment security was assessed via a modified Strange Situation procedure, and parents reported on child temperament (anger proneness and social fearfulness). At 39 months, same-sex children (N = 114, 58 girls) were randomly paired, and child dyads were observed during 3 laboratory visits occurring over 1 month. Actor-partner interdependence models, tested via multilevel modeling, revealed that actor security, partner anger proneness, and acquaintanceship (e.g., initial vs. later visits) combined to predict child behavior. Actor security predicted more responsiveness to the new peer partner at the initial visit, regardless of partner anger proneness. Actor security continued to predict responsiveness at the 2nd and 3rd visits when partner anger was low, but these associations were nonsignificant when partner anger was high. Actor security also predicted a less controlling assertiveness style at the initial visit when partner anger proneness was high, yet this association was nonsignificant by the final visit. The findings shed light on the dynamic nature of young children's peer behavior and indicate that attachment security is related to behavior in expected ways during initial interactions with a new peer, but may change as children become acquainted. PsycINFO Database Record (c) 2014 APA, all rights reserved.
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An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition.
Niu, Li; Li, Wen; Xu, Dong; Cai, Jianfei
2018-02-01
In this paper, we propose a new exemplar-based multi-view domain generalization (EMVDG) framework for visual recognition by learning robust classifier that are able to generalize well to arbitrary target domain based on the training samples with multiple types of features (i.e., multi-view features). In this framework, we aim to address two issues simultaneously. First, the distribution of training samples (i.e., the source domain) is often considerably different from that of testing samples (i.e., the target domain), so the performance of the classifiers learnt on the source domain may drop significantly on the target domain. Moreover, the testing data are often unseen during the training procedure. Second, when the training data are associated with multi-view features, the recognition performance can be further improved by exploiting the relation among multiple types of features. To address the first issue, considering that it has been shown that fusing multiple SVM classifiers can enhance the domain generalization ability, we build our EMVDG framework upon exemplar SVMs (ESVMs), in which a set of ESVM classifiers are learnt with each one trained based on one positive training sample and all the negative training samples. When the source domain contains multiple latent domains, the learnt ESVM classifiers are expected to be grouped into multiple clusters. To address the second issue, we propose two approaches under the EMVDG framework based on the consensus principle and the complementary principle, respectively. Specifically, we propose an EMVDG_CO method by adding a co-regularizer to enforce the cluster structures of ESVM classifiers on different views to be consistent based on the consensus principle. Inspired by multiple kernel learning, we also propose another EMVDG_MK method by fusing the ESVM classifiers from different views based on the complementary principle. In addition, we further extend our EMVDG framework to exemplar-based multi-view domain
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Takahashi, Yuji; Schoenbaum, Geoffrey; Niv, Yael
2008-01-01
A critical problem in daily decision making is how to choose actions now in order to bring about rewards later. Indeed, many of our actions have long-term consequences, and it is important to not be myopic in balancing the pros and cons of different options, but rather to take into account both immediate and delayed consequences of actions. Failures to do so may be manifest as persistent, maladaptive decision-making, one example of which is addiction where behavior seems to be driven by the immediate positive experiences with drugs, despite the delayed adverse consequences. A recent study by Takahashi et al. (2007) investigated the effects of cocaine sensitization on decision making in rats and showed that drug use resulted in altered representations in the ventral striatum and the dorsolateral striatum, areas that have been implicated in the neural instantiation of a computational solution to optimal long-term actions selection called the Actor/Critic framework. In this Focus article we discuss their results and offer a computational interpretation in terms of drug-induced impairments in the Critic. We first survey the different lines of evidence linking the subparts of the striatum to the Actor/Critic framework, and then suggest two possible scenarios of breakdown that are suggested by Takahashi et al.'s (2007) data. As both are compatible with the current data, we discuss their different predictions and how these could be empirically tested in order to further elucidate (and hopefully inch towards curing) the neural basis of drug addiction. PMID:18982111
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The crossover of daily work engagement: test of an actor-partner interdependence model.
Bakker, Arnold B; Xanthopoulou, Despoina
2009-11-01
This study of 62 dyads of employees (N = 124) examined the crossover of work engagement-a positive, fulfilling, work-related state of mind that is characterized by vigor, dedication, and absorption. We hypothesized that work engagement crosses over from an employee (the actor) to his or her colleague (the partner) on a daily basis. The frequency of daily communication was expected to moderate the crossover of daily work engagement, which in turn would relate to colleagues' daily performance. Participants first filled in a general questionnaire and then completed a diary study over 5 consecutive workdays. The hypotheses were tested with multilevel analyses, using an actor-partner interdependence model. Results confirmed the crossover of daily work engagement, but only on days when employees within a dyad interacted more frequently than usual. Moreover, we found that actor's work engagement (particularly vigor), when frequently communicated, had a positive indirect relationship with partner's performance through partner's work engagement. Finally, results showed that actor's vigor was negatively related to partner's performance when communication was low. However, this negative effect was counteracted when mediated by the vigor of the partner.
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2008-02-01
the loss of the Iberian peninsula , the crusades, etc), several more recent events of the last century stand out, and alQaida ideologues frequently...Tradition(s) Classical Texts/Stories History/Experience Defense Concept Beliefs/Values Economic Resources Climate /Resources Technological Base...actor. For example, for a substate group or a distinctly national nonstate actor, factors such as geography and climate that are often very
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[Acoustic analysis and characteristics of vocal range in Beijing Opera actors].
Qu, C; Liu, Y
2000-02-01
To get the objective acoustic parameters of the voice of Beijing Opera actors and set a foundation for the training and protection of the special professional voice. Seventy-three (age 16-57 years) professional actors and students were asked to produce sustained comfortable vowels /a/ and /i/, and to sing two pieces of songs which were in the category of Xipi and Erhuang respectively. Dr. Speech for windows version 3.0 was used to get the acoustic parameters of the vowels and the songs. F0 of the vowels /a/ and /i/ of different Hangdangs were Chou (272.6 +/- 42.0) Hz (mean +/- s), (304.2 +/- 22.1) Hz; Xiaosheng (499.3 +/- 34.0) Hz, (485.4 +/- 18.7) Hz; Laosheng (335.6 +/- 60.0) Hz, (317.9 +/- 45.1) Hz; Hualian (319.0 +/- 61.3) Hz, (340.1 +/- 68.8) Hz; Laodan (427.6 +/- 47.2) Hz, (437.7 +/- 45.8) Hz; Huadan (535.8 +/- 48.8) Hz, (561.6 +/- 29.2) Hz; Qingyi (548.0 +/- 69.5) Hz, (543.5 +/- 79.3) Hz; these and other acoustic parameters of vowels such as Jitter, Shimmer and NNE were all within the normal range given by the software. The vocal range of Beijing Opera actors was from 1.7 to 2.8 oct, and most of the highest and the lowest pitches were higher than that of tenor or soprano. These findings may help to provide insight regarding the acoustic characteristics of the voice of Beijing Opera actors.
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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
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A Framework for a WAP-Based Course Registration System
ERIC Educational Resources Information Center
AL-Bastaki, Yousif; Al-Ajeeli, Abid
2005-01-01
This paper describes a WAP-based course registration system designed and implemented to facilitating the process of students' registration at Bahrain University. The framework will support many opportunities for applying WAP based technology to many services such as wireless commerce, cashless payment... and location-based services. The paper…
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Integrated consensus-based frameworks for unmanned vehicle routing and targeting assignment
NASA Astrophysics Data System (ADS)
Barnawi, Waleed T.
Unmanned aerial vehicles (UAVs) are increasingly deployed in complex and dynamic environments to perform multiple tasks cooperatively with other UAVs that contribute to overarching mission effectiveness. Studies by the Department of Defense (DoD) indicate future operations may include anti-access/area-denial (A2AD) environments which limit human teleoperator decision-making and control. This research addresses the problem of decentralized vehicle re-routing and task reassignments through consensus-based UAV decision-making. An Integrated Consensus-Based Framework (ICF) is formulated as a solution to the combined single task assignment problem and vehicle routing problem. The multiple assignment and vehicle routing problem is solved with the Integrated Consensus-Based Bundle Framework (ICBF). The frameworks are hierarchically decomposed into two levels. The bottom layer utilizes the renowned Dijkstra's Algorithm. The top layer addresses task assignment with two methods. The single assignment approach is called the Caravan Auction Algorithm (CarA) Algorithm. This technique extends the Consensus-Based Auction Algorithm (CBAA) to provide awareness for task completion by agents and adopt abandoned tasks. The multiple assignment approach called the Caravan Auction Bundle Algorithm (CarAB) extends the Consensus-Based Bundle Algorithm (CBBA) by providing awareness for lost resources, prioritizing remaining tasks, and adopting abandoned tasks. Research questions are investigated regarding the novelty and performance of the proposed frameworks. Conclusions regarding the research questions will be provided through hypothesis testing. Monte Carlo simulations will provide evidence to support conclusions regarding the research hypotheses for the proposed frameworks. The approach provided in this research addresses current and future military operations for unmanned aerial vehicles. However, the general framework implied by the proposed research is adaptable to any unmanned
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Impedance learning for robotic contact tasks using natural actor-critic algorithm.
Kim, Byungchan; Park, Jooyoung; Park, Shinsuk; Kang, Sungchul
2010-04-01
Compared with their robotic counterparts, humans excel at various tasks by using their ability to adaptively modulate arm impedance parameters. This ability allows us to successfully perform contact tasks even in uncertain environments. This paper considers a learning strategy of motor skill for robotic contact tasks based on a human motor control theory and machine learning schemes. Our robot learning method employs impedance control based on the equilibrium point control theory and reinforcement learning to determine the impedance parameters for contact tasks. A recursive least-square filter-based episodic natural actor-critic algorithm is used to find the optimal impedance parameters. The effectiveness of the proposed method was tested through dynamic simulations of various contact tasks. The simulation results demonstrated that the proposed method optimizes the performance of the contact tasks in uncertain conditions of the environment.
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Hugh Grant's Image Restoration Discourse: An Actor Apologizes.
ERIC Educational Resources Information Center
Benoit, William L.
1997-01-01
Examines the strategies used by actor Hugh Grant (in his appearances on talk shows) to help restore his reputation after he was arrested for lewd behavior with a prostitute. Uses this case as a springboard to contrast entertainment image repair with political and corporate image repair, arguing that important situational differences can be…
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Strutting and Fretting: Shakespeare and the Novice Actor.
ERIC Educational Resources Information Center
Barton, Robert
A survey of approximately 450 novice Shakespearean actors was undertaken to determine what could be learned from a careful study of the initiation of new performers acting Shakespeare that might be helpful to others. The findings revealed that the typical initiate perceives acting Shakespeare as different from other acting, indicates a definite…
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Heartbeat-based error diagnosis framework for distributed embedded systems
NASA Astrophysics Data System (ADS)
Mishra, Swagat; Khilar, Pabitra Mohan
2012-01-01
Distributed Embedded Systems have significant applications in automobile industry as steer-by-wire, fly-by-wire and brake-by-wire systems. In this paper, we provide a general framework for fault detection in a distributed embedded real time system. We use heartbeat monitoring, check pointing and model based redundancy to design a scalable framework that takes care of task scheduling, temperature control and diagnosis of faulty nodes in a distributed embedded system. This helps in diagnosis and shutting down of faulty actuators before the system becomes unsafe. The framework is designed and tested using a new simulation model consisting of virtual nodes working on a message passing system.
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Heartbeat-based error diagnosis framework for distributed embedded systems
NASA Astrophysics Data System (ADS)
Mishra, Swagat; Khilar, Pabitra Mohan
2011-12-01
Distributed Embedded Systems have significant applications in automobile industry as steer-by-wire, fly-by-wire and brake-by-wire systems. In this paper, we provide a general framework for fault detection in a distributed embedded real time system. We use heartbeat monitoring, check pointing and model based redundancy to design a scalable framework that takes care of task scheduling, temperature control and diagnosis of faulty nodes in a distributed embedded system. This helps in diagnosis and shutting down of faulty actuators before the system becomes unsafe. The framework is designed and tested using a new simulation model consisting of virtual nodes working on a message passing system.
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Törrönen, Jukka; Tigerstedt, Christoffer
2018-04-01
The article applies actor network theory (ANT) to autobiographical data on alcohol dependence to explore what ANT can offer to the analysis of 'addiction stories'. By defining 'addiction' as a relational achievement, as the effect of elements acting together as a configuration of human and non-human actors, the article demonstrates how the moving and changing attachments of addiction can be dynamically analyzed with concepts of 'assemblage', 'mediator', 'tendency', 'translation', 'trajectory', 'immutable mobile', 'fluid' and 'bush fire'. The article shows how the reduction of alcohol dependence simply to genetic factors, neurobiological causes, personality disorders and self-medication constitutes an inadequate explanation. As 'meta theories', they illuminate addiction one-sidedly. Instead, as ANT pays attention to multiple heterogeneous mediators, it specifies in what way the causes identified in 'meta theories' may together with other actors participate in addiction assemblages. When following the development of addiction assemblages, we focus on situational sequences of action, in which human and non-human elements are linked to each other, and we trace how the relational shape of addiction changes from one sequence to another as a transforming assemblage of heterogeneous attachments that either maintain healthy subjectivities or destabilize them. The more attachments assemblages of addiction are able to make that are flexible and durable from one event to another, the stronger also the addiction-based subjectivities. Similarly, the fewer attachments that assemblages of addiction are able to keep in their various translations, the weaker the addiction-based subjectivities also become. An ANT-inspired analysis has a number of implications for the prevention and treatment of addiction: it suggests that in the prevention and treatment of addiction, the aim should hardly be to get rid of dependencies. Rather, the ambition should be the identification of attachments
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Restful API Architecture Based on Laravel Framework
NASA Astrophysics Data System (ADS)
Chen, Xianjun; Ji, Zhoupeng; Fan, Yu; Zhan, Yongsong
2017-10-01
Web service has been an industry standard tech for message communication and integration between heterogeneous systems. RESTFUL API has become mainstream web service development paradigm after SOAP, how to effectively construct RESTFUL API remains a research hotspots. This paper presents a development model of RESTFUL API construction based on PHP language and LARAVEL framework. The key technical problems that need to be solved during the construction of RESTFUL API are discussed, and implementation details based on LARAVEL are given.
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A motion sensing-based framework for robotic manipulation.
Deng, Hao; Xia, Zeyang; Weng, Shaokui; Gan, Yangzhou; Fang, Peng; Xiong, Jing
2016-01-01
To data, outside of the controlled environments, robots normally perform manipulation tasks operating with human. This pattern requires the robot operators with high technical skills training for varied teach-pendant operating system. Motion sensing technology, which enables human-machine interaction in a novel and natural interface using gestures, has crucially inspired us to adopt this user-friendly and straightforward operation mode on robotic manipulation. Thus, in this paper, we presented a motion sensing-based framework for robotic manipulation, which recognizes gesture commands captured from motion sensing input device and drives the action of robots. For compatibility, a general hardware interface layer was also developed in the framework. Simulation and physical experiments have been conducted for preliminary validation. The results have shown that the proposed framework is an effective approach for general robotic manipulation with motion sensing control.
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A non-voxel-based broad-beam (NVBB) framework for IMRT treatment planning.
Lu, Weiguo
2010-12-07
We present a novel framework that enables very large scale intensity-modulated radiation therapy (IMRT) planning in limited computation resources with improvements in cost, plan quality and planning throughput. Current IMRT optimization uses a voxel-based beamlet superposition (VBS) framework that requires pre-calculation and storage of a large amount of beamlet data, resulting in large temporal and spatial complexity. We developed a non-voxel-based broad-beam (NVBB) framework for IMRT capable of direct treatment parameter optimization (DTPO). In this framework, both objective function and derivative are evaluated based on the continuous viewpoint, abandoning 'voxel' and 'beamlet' representations. Thus pre-calculation and storage of beamlets are no longer needed. The NVBB framework has linear complexities (O(N(3))) in both space and time. The low memory, full computation and data parallelization nature of the framework render its efficient implementation on the graphic processing unit (GPU). We implemented the NVBB framework and incorporated it with the TomoTherapy treatment planning system (TPS). The new TPS runs on a single workstation with one GPU card (NVBB-GPU). Extensive verification/validation tests were performed in house and via third parties. Benchmarks on dose accuracy, plan quality and throughput were compared with the commercial TomoTherapy TPS that is based on the VBS framework and uses a computer cluster with 14 nodes (VBS-cluster). For all tests, the dose accuracy of these two TPSs is comparable (within 1%). Plan qualities were comparable with no clinically significant difference for most cases except that superior target uniformity was seen in the NVBB-GPU for some cases. However, the planning time using the NVBB-GPU was reduced many folds over the VBS-cluster. In conclusion, we developed a novel NVBB framework for IMRT optimization. The continuous viewpoint and DTPO nature of the algorithm eliminate the need for beamlets and lead to better plan
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Call for a dedicated European legal framework for bacteriophage therapy.
Verbeken, Gilbert; Pirnay, Jean-Paul; Lavigne, Rob; Jennes, Serge; De Vos, Daniel; Casteels, Minne; Huys, Isabelle
2014-04-01
The worldwide emergence of antibiotic resistances and the drying up of the antibiotic pipeline have spurred a search for alternative or complementary antibacterial therapies. Bacteriophages are bacterial viruses that have been used for almost a century to combat bacterial infections, particularly in Poland and the former Soviet Union. The antibiotic crisis has triggered a renewed clinical and agricultural interest in bacteriophages. This, combined with new scientific insights, has pushed bacteriophages to the forefront of the search for new approaches to fighting bacterial infections. But before bacteriophage therapy can be introduced into clinical practice in the European Union, several challenges must be overcome. One of these is the conceptualization and classification of bacteriophage therapy itself and the extent to which it constitutes a human medicinal product regulated under the European Human Code for Medicines (Directive 2001/83/EC). Can therapeutic products containing natural bacteriophages be categorized under the current European regulatory framework, or should this framework be adapted? Various actors in the field have discussed the need for an adapted (or entirely new) regulatory framework for the reintroduction of bacteriophage therapy in Europe. This led to the identification of several characteristics specific to natural bacteriophages that should be taken into consideration by regulators when evaluating bacteriophage therapy. One important consideration is whether bacteriophage therapy development occurs on an industrial scale or a hospital-based, patient-specific scale. More suitable regulatory standards may create opportunities to improve insights into this promising therapeutic approach. In light of this, we argue for the creation of a new, dedicated European regulatory framework for bacteriophage therapy.
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Harvey, Paul
2013-10-01
For too long international humanitarian aid has neglected the primary responsibility of the state to assist and protect its citizens in times of disaster. A focus on the role of the state in contexts where governments are active parties to a conflict and are failing to live up to these responsibilities is difficult and underpins many of the recurring dilemmas of humanitarian action. The fundamental principles of humanitarian action should offer a framework for principled engagement with governments in situations of conflict but too often they are still interpreted as shorthand for ignoring governments. Using principles to inform engagement with both states and other international actors engaged in crises could provide a way forward. However, this would need to be a humanitarian agenda that engages with developing country governments, with non-OECD (Organisation for Economic Co-operation and Development) donors, and with the stabilisation and security agendas of Western governments, and not one that attempts to ring-fence an ever-shrinking isolationist humanitarian space. © 2013 The Author(s). Disasters © Overseas Development Institute, 2013.
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Ginis, Kathleen A Martin; Tomasone, Jennifer R; Latimer-Cheung, Amy E; Arbour-Nicitopoulos, Kelly P; Bassett-Gunter, Rebecca L; Wolfe, Dalton L
2013-08-01
This article is the first in a three-part series focused on designing theory-based interventions to increase leisure time physical activity (LTPA) in persons with spinal cord injury (SCI). The purpose of this first study was to compare social cognitions for LTPA between people classified as LTPA actors, intenders, and nonintenders, as per Schwarzer's Health Action Process Approach (HAPA) model. Participants were 238 men and women living with a SCI (M age = 44.14, SD = 12.74; 44.5% paraplegic) who were subsequently classified as LTPA actors (n = 105), intenders (n = 73), or nonintenders (n = 60). Participants completed a questionnaire that assessed the following HAPA constructs: LTPA outcome expectancies, self-efficacy, intentions, planning, and action control. A MANCOVA revealed significant between-groups differences for all variables (ps < .001). For all of the measures, actors scored significantly higher than intenders who, in turn, scored significantly higher than nonintenders. It is both theoretically and practically important to distinguish between LTPA nonintenders, intenders, and actors when developing LTPA-enhancing interventions for people with SCI. These distinctions inform the design and testing of the interventions reported in the two accompanying articles. (c) 2013 APA, all rights reserved.
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Context-Based Pedagogy: A Framework From Experience.
Kantar, Lina D
2016-07-01
Attempts to transform teaching practice are inadvertently subjected to several hurdles, mostly attributed to the lack of a guiding framework. This study aimed at unraveling the conceptual underpinnings of the context-based pedagogy, being perceived the pedagogy that prepares professionals for future practice. Through focus group interviews, data were collected from 16 nursing students who had case studies as the main instructional format in three major courses. The participants were divided into three focus groups, and interview questions were based on three educational parameters: the learning environment, instructional format, and instructional process. Initial findings revealed an array of classroom activities that characterize each parameter. An in-depth analysis of these activities converged on four concepts: (a) dynamic learning environment, (b) realism, (c) thinking dispositions, and (d) professional formation. These concepts improvise a beginning framework for educators and curriculum leaders that can be used to integrate cases in the curriculum and to facilitate the contextualization of knowledge. [J Nurs Educ. 2016;55(7):391-395.]. Copyright 2016, SLACK Incorporated.
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Thiophene-based covalent organic frameworks
Bertrand, Guillaume H. V.; Michaelis, Vladimir K.; Ong, Ta-Chung; Griffin, Robert G.; Dincă, Mircea
2013-01-01
We report the synthesis and characterization of covalent organic frameworks (COFs) incorporating thiophene-based building blocks. We show that these are amenable to reticular synthesis, and that bent ditopic monomers, such as 2,5-thiophenediboronic acid, are defect-prone building blocks that are susceptible to synthetic variations during COF synthesis. The synthesis and characterization of an unusual charge transfer complex between thieno[3,2-b]thiophene-2,5-diboronic acid and tetracyanoquinodimethane enabled by the unique COF architecture is also presented. Together, these results delineate important synthetic advances toward the implementation of COFs in electronic devices. PMID:23479656
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("Un")Doing Standards in Education with Actor-Network Theory
ERIC Educational Resources Information Center
Fenwick, Tara J.
2010-01-01
Recent critiques have drawn important attention to the depoliticized consensus and empty promises embedded in network discourses of educational policy. While acceding this critique, this discussion argues that some forms of network analysis--specifically those adopting actor-network theory (ANT) approaches--actually offer useful theoretical…
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Fuel Cycle Analysis Framework Base Cases for the IAEA/INPRO GAINS Collaborative Project
DOE Office of Scientific and Technical Information (OSTI.GOV)
Brent Dixon
Thirteen countries participated in the Collaborative Project GAINS “Global Architecture of Innovative Nuclear Energy Systems Based on Thermal and Fast Reactors Including a Closed Fuel Cycle”, which was the primary activity within the IAEA/INPRO Program Area B: “Global Vision on Sustainable Nuclear Energy” for the last three years. The overall objective of GAINS was to develop a standard framework for assessing future nuclear energy systems taking into account sustainable development, and to validate results through sample analyses. This paper details the eight scenarios that constitute the GAINS framework base cases for analysis of the transition to future innovative nuclear energymore » systems. The framework base cases provide a reference for users of the framework to start from in developing and assessing their own alternate systems. Each base case is described along with performance results against the GAINS sustainability evaluation metrics. The eight cases include four using a moderate growth projection and four using a high growth projection for global nuclear electricity generation through 2100. The cases are divided into two sets, addressing homogeneous and heterogeneous scenarios developed by GAINS to model global fuel cycle strategies. The heterogeneous world scenario considers three separate nuclear groups based on their fuel cycle strategies, with non-synergistic and synergistic cases. The framework base case analyses results show the impact of these different fuel cycle strategies while providing references for future users of the GAINS framework. A large number of scenario alterations are possible and can be used to assess different strategies, different technologies, and different assumptions about possible futures of nuclear power. Results can be compared to the framework base cases to assess where these alternate cases perform differently versus the sustainability indicators.« less
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Actors and networks in resource conflict resolution under climate change in rural Kenya
NASA Astrophysics Data System (ADS)
Ngaruiya, Grace W.; Scheffran, Jürgen
2016-05-01
The change from consensual decision-making arrangements into centralized hierarchical chieftaincy schemes through colonization disrupted many rural conflict resolution mechanisms in Africa. In addition, climate change impacts on land use have introduced additional socio-ecological factors that complicate rural conflict dynamics. Despite the current urgent need for conflict-sensitive adaptation, resolution efficiency of these fused rural institutions has hardly been documented. In this context, we analyse the Loitoktok network for implemented resource conflict resolution structures and identify potential actors to guide conflict-sensitive adaptation. This is based on social network data and processes that are collected using the saturation sampling technique to analyse mechanisms of brokerage. We find that there are three different forms of fused conflict resolution arrangements that integrate traditional institutions and private investors in the community. To effectively implement conflict-sensitive adaptation, we recommend the extension officers, the council of elders, local chiefs and private investors as potential conduits of knowledge in rural areas. In conclusion, efficiency of these fused conflict resolution institutions is aided by the presence of holistic resource management policies and diversification in conflict resolution actors and networks.
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Boriani, Elena; Esposito, Roberto; Frazzoli, Chiara; Fantke, Peter; Hald, Tine; Rüegg, Simon R
2017-01-01
Health intervention systems are complex and subject to multiple variables in different phases of implementation. This constitutes a concrete challenge for the application of translational science in real life. Complex systems as health-oriented interventions call for interdisciplinary approaches with carefully defined system boundaries. Exploring individual components of such systems from different viewpoints gives a wide overview and helps to understand the elements and the relationships that drive actions and consequences within the system. In this study, we present an application and assessment of a framework with focus on systems and system boundaries of interdisciplinary projects. As an example on how to apply our framework, we analyzed ALERT [an integrated sensors and biosensors' system (BEST) aimed at monitoring the quality, health, and traceability of the chain of the bovine milk], a multidisciplinary and interdisciplinary project based on the application of measurable biomarkers at strategic points of the milk chain for improved food security (including safety), human, and ecosystem health (1). In fact, the European food safety framework calls for science-based support to the primary producers' mandate for legal, scientific, and ethical responsibility in food supply. Because of its multidisciplinary and interdisciplinary approach involving human, animal, and ecosystem health, ALERT can be considered as a One Health project. Within the ALERT context, we identified the need to take into account the main actors, interactions, and relationships of stakeholders to depict a simplified skeleton of the system. The framework can provide elements to highlight how and where to improve the project development when project evaluations are required.
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Boriani, Elena; Esposito, Roberto; Frazzoli, Chiara; Fantke, Peter; Hald, Tine; Rüegg, Simon R.
2017-01-01
Health intervention systems are complex and subject to multiple variables in different phases of implementation. This constitutes a concrete challenge for the application of translational science in real life. Complex systems as health-oriented interventions call for interdisciplinary approaches with carefully defined system boundaries. Exploring individual components of such systems from different viewpoints gives a wide overview and helps to understand the elements and the relationships that drive actions and consequences within the system. In this study, we present an application and assessment of a framework with focus on systems and system boundaries of interdisciplinary projects. As an example on how to apply our framework, we analyzed ALERT [an integrated sensors and biosensors’ system (BEST) aimed at monitoring the quality, health, and traceability of the chain of the bovine milk], a multidisciplinary and interdisciplinary project based on the application of measurable biomarkers at strategic points of the milk chain for improved food security (including safety), human, and ecosystem health (1). In fact, the European food safety framework calls for science-based support to the primary producers’ mandate for legal, scientific, and ethical responsibility in food supply. Because of its multidisciplinary and interdisciplinary approach involving human, animal, and ecosystem health, ALERT can be considered as a One Health project. Within the ALERT context, we identified the need to take into account the main actors, interactions, and relationships of stakeholders to depict a simplified skeleton of the system. The framework can provide elements to highlight how and where to improve the project development when project evaluations are required. PMID:28804707
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Chien, Yu-Ju
2013-02-01
Over the past few years, a 'One World, One Health' (OWOH) policy framework has become the guiding principle for international responses to avian influenza and other zoonotic infectious diseases. Several specialised inter-governmental agencies, including the World Health Organization, the Food and Agricultural Organization and World Organization for Animal Health, jointly endorsed and promoted this framework. This article attempts to explain why international agencies advocated OWOH despite its vagueness. By examining how these international agencies gradually reframed avian flu problems, this article illustrates the crucial roles of international agencies in constructing disease knowledge and relevant policy responses. It shows that the three agencies adopted an all-inclusive approach to reduce conflicts, defend their legitimacy, and facilitate commitment for collaboration. Not only has this new framework reduced tensions between agencies, it has also reshaped the interests and interactions of other global actors. The case thus illustrates how these organisational actors actively manufacture new cognitive frames and policy regimes that advance their own legitimacy and influence. © 2012 The Author. Sociology of Health & Illness © 2012 Foundation for the Sociology of Health & Illness/Blackwell Publishing Ltd.
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Teachers as Language-Policy Actors: Contending with the Erasure of Lesser-Used Languages in Schools
ERIC Educational Resources Information Center
Brown, Kara
2010-01-01
On the basis of an ethnographic study of the Voro-language revitalization in Estonia, this article explores the way teachers function as policy actors in the broader context of the school. As policy actors, the language teachers' appropriation of regional-language policy helps simultaneously to reproduce and challenge existing ideologies in the…
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A Poor Man's Nuclear Deterrent: Assessing the Value of Radiological Weapons for State Actors
NASA Astrophysics Data System (ADS)
Donohue, Nathan
The threat of weapons of mass destruction is an issue which remains at the forefront on national security. Nuclear, chemical, and biological weapons are all considered very dangerous by both state and non-state actors. Radiological weapons exist in that same category yet are not held in the same regard; the reason that is given is that these types of weapons are not the weapons of mass destruction that the other three are. Instead, radiological weapons are better considered weapons of mass disruption. Accordingly, in the academic and policy literature there has been very little perceived value associated with such weapons for use by state actors. However the historical focus on the military efficacy of radiological weapons has obscured the obvious truth that they may pose significant value for state actors. What this research shows is that the explosion of a radiological weapon could disrupt a target area in ways which could cripple the economy of an adversary state and promote widespread fear concerning exposure to radiation. Any such attack would not only necessitate large scale evacuation, but cleanup, decontamination, demolition, territory exclusion, and relocation. Moreover, the effects of such an attack would be unlikely to remain an isolated event as evacuated and displaced citizens spread across the nation carrying both fear and residual radiation. All of these factors would only be compounded by a state actor's ability to not only develop such weapons, but to manufacture them in such a composition that contemporary examples of such weapons grossly underestimate their impact. Accordingly, radiological weapons could hold great value for any state actor wishing to pursue their development and to threaten their use. Moreover, "while RDDs may not be well suited as "military weapons" in the classic sense, the use of RDDs could be powerfully coercive."1 In that sense, state actors could even acquire radiological weapons for their deterrent value. 1James L. Ford
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Deas, L; Mattu, L; Gnich, W
2013-11-01
Increased political enthusiasm for evidence-based policy and action has re-ignited interest in the use of evidence within political and practitioner networks. Theories of evidence-based policy making and practice are being re-considered in an attempt to better understand the processes through which knowledge translation occurs. Understanding how policy develops, and practice results, has the potential to facilitate effective evidence use. Further knowledge of the factors which shape healthcare delivery and their influence in different contexts is needed. This paper explores the processes involved in the development of a complex intervention in Scotland's National Health Service (NHS). It uses a national oral health programme for children (Childsmile) as a case study, drawing upon key actors' perceptions of the influence of different drivers (research evidence, practitioner knowledge and values, policy, and political and local context) to programme development. Framework analysis is used to analyse stakeholder accounts from in-depth interviews. Documentary review is also undertaken. Findings suggest that Childsmile can be described as an 'evidence-informed' intervention, blending available research evidence with knowledge from practitioner experience and continual learning through evaluation, to plan delivery. The importance of context was underscored, in terms of the need to align with prevailing political ideology and in the facilitative strength of networks within the relatively small public health community in Scotland. Respondents' perceptions support several existing theoretical models of translation, however no single theory offered a comprehensive framework covering all aspects of the complex processes reported. Childsmile's use of best available evidence and on-going contribution to knowledge suggest that the programme is an example of intelligent policy making with international relevance. Copyright © 2013 Elsevier Ltd. All rights reserved.
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[Who is against prevention? A map of policy actors favoring smoking in Spain].
Granero, Lluís; Villalbí, Joan Ramón; Gallego, Raquel
2004-01-01
For a comprehensive approach to policies on smoking, the map of actors related to tobacco and their political ties needs to be identified. The present article constitutes the first attempt at this task in Spain. Analysis of the press, industry publications, and interviews with key people. Active actors favoring smoking in Spain were identified and classified according to their characteristics, the sphere in which they act, and their preferred territorial arena. We identified tobacco companies (Altadis and Philip Morris dominate the market), tobacco trade organizations (tobacconists), front-line organizations created by the tobacco industry (The Smokers for Tolerance Club), organizations of tobacco growers, and processing companies. Distribution to retailers is dominated by Logista, owned by Altadis. Other sectors to take into account are vending companies and those manufacturing related products (cigarette paper, matches or lighters). The contacts of these actors with the public administration are reviewed, notable among which are the role of the Commissioner for the Tobacco Market, the Ministry of Agriculture, the Ministry of Finance and the Ministry of the Economy. Ties were also found with employers' organizations, some political parties, and unions, as well as with other sectors with social influence such as the media and advertising sectors. The map of actors favoring smoking in Spain is complex and goes beyond the confines of the tobacco industry. Understanding this web is crucial to promoting comprehensive prevention policies.
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Modeling asset price processes based on mean-field framework
NASA Astrophysics Data System (ADS)
Ieda, Masashi; Shiino, Masatoshi
2011-12-01
We propose a model of the dynamics of financial assets based on the mean-field framework. This framework allows us to construct a model which includes the interaction among the financial assets reflecting the market structure. Our study is on the cutting edge in the sense of a microscopic approach to modeling the financial market. To demonstrate the effectiveness of our model concretely, we provide a case study, which is the pricing problem of the European call option with short-time memory noise.
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Non-State Actors, and the Advance of Frontier Higher Education Markets in the Global South
ERIC Educational Resources Information Center
Robertson, Susan L.; Komljenovic, Janja
2016-01-01
This paper examines the growth of global non-state and multilateral actors in the "global south" and the creation of frontier markets in the higher education sector. These developments are part of market-making changes in higher education as the sector is opened to new actors, logics, and innovative services, aimed at "the global…
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A Framework for Assessing Collaborative Capacity in Community-Based Public Forest Management
NASA Astrophysics Data System (ADS)
Cheng, Antony S.; Sturtevant, Victoria E.
2012-03-01
Community-based collaborative groups involved in public natural resource management are assuming greater roles in planning, project implementation, and monitoring. This entails the capacity of collaborative groups to develop and sustain new organizational structures, processes, and strategies, yet there is a lack of understanding what constitutes collaborative capacity. In this paper, we present a framework for assessing collaborative capacities associated with community-based public forest management in the US. The framework is inductively derived from case study research and observations of 30 federal forest-related collaborative efforts. Categories were cross-referenced with literature on collaboration across a variety of contexts. The framework focuses on six arenas of collaborative action: (1) organizing, (2) learning, (3) deciding, (4) acting, (5) evaluating, and (6) legitimizing. Within each arena are capacities expressed through three levels of social agency: individuals, the collaborative group itself, and participating or external organizations. The framework provides a language and set of organizing principles for understanding and assessing collaborative capacity in the context of community-based public forest management. The framework allows groups to assess what capacities they already have and what more is needed. It also provides a way for organizations supporting collaboratives to target investments in building and sustaining their collaborative capacities. The framework can be used by researchers as a set of independent variables against which to measure collaborative outcomes across a large population of collaborative efforts.
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The Essential Elements of a Risk Governance Framework for Current and Future Nanotechnologies.
Stone, Vicki; Führ, Martin; Feindt, Peter H; Bouwmeester, Hans; Linkov, Igor; Sabella, Stefania; Murphy, Finbarr; Bizer, Kilian; Tran, Lang; Ågerstrand, Marlene; Fito, Carlos; Andersen, Torben; Anderson, Diana; Bergamaschi, Enrico; Cherrie, John W; Cowan, Sue; Dalemcourt, Jean-Francois; Faure, Michael; Gabbert, Silke; Gajewicz, Agnieszka; Fernandes, Teresa F; Hristozov, Danail; Johnston, Helinor J; Lansdown, Terry C; Linder, Stefan; Marvin, Hans J P; Mullins, Martin; Purnhagen, Kai; Puzyn, Tomasz; Sanchez Jimenez, Araceli; Scott-Fordsmand, Janeck J; Streftaris, George; van Tongeren, Martie; Voelcker, Nicolas H; Voyiatzis, George; Yannopoulos, Spyros N; Poortvliet, P Marijn
2017-12-14
Societies worldwide are investing considerable resources into the safe development and use of nanomaterials. Although each of these protective efforts is crucial for governing the risks of nanomaterials, they are insufficient in isolation. What is missing is a more integrative governance approach that goes beyond legislation. Development of this approach must be evidence based and involve key stakeholders to ensure acceptance by end users. The challenge is to develop a framework that coordinates the variety of actors involved in nanotechnology and civil society to facilitate consideration of the complex issues that occur in this rapidly evolving research and development area. Here, we propose three sets of essential elements required to generate an effective risk governance framework for nanomaterials. (1) Advanced tools to facilitate risk-based decision making, including an assessment of the needs of users regarding risk assessment, mitigation, and transfer. (2) An integrated model of predicted human behavior and decision making concerning nanomaterial risks. (3) Legal and other (nano-specific and general) regulatory requirements to ensure compliance and to stimulate proactive approaches to safety. The implementation of such an approach should facilitate and motivate good practice for the various stakeholders to allow the safe and sustainable future development of nanotechnology. © 2017 Society for Risk Analysis.
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Phulkerd, Sirinya; Vandevijvere, Stefanie; Lawrence, Mark; Tangcharoensathien, Viroj; Sacks, Gary
2017-02-01
To determine and compare the level of implementation of policies for healthy food environments in Thailand with reference to international best practice by state and non-state actors. Data on the current level of implementation of food environment policies were assessed independently using the adapted Healthy Food Environment Policy Index (Food-EPI) by two groups of actors. Concrete actions were proposed for Thai Government. A joint meeting between both groups was subsequently held to reach consensus on priority actions. Thailand. Thirty state actors and twenty-seven non-state actors. Level of policy implementation varied across different domains and actor groups. State actors rated implementation levels higher than non-state actors. Both state and non-state actors rated level of implementation of monitoring of BMI highest. Level of implementation of policies promoting in-store availability of healthy foods and policies increasing tax on unhealthy foods were rated lowest by state and non-state actors, respectively. Both groups reached consensus on eleven priority actions for implementation, focusing on food provision in public-sector settings, food composition, food promotion, leadership, monitoring and intelligence, and food trade. Although the implementation gaps identified and priority actions proposed varied between state and non-state actors, both groups achieved consensus on a comprehensive food policy package to be implemented by the Thai Government to improve the healthiness of food environments. This consensus is a platform for continued policy dialogue towards cross-sectoral policy coherence and effective actions to address the growing burden of non-communicable diseases and obesity in Thailand.
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A framework for modeling scenario-based barrier island storm impacts
Mickey, Rangley; Long, Joseph W.; Dalyander, P. Soupy; Plant, Nathaniel G.; Thompson, David M.
2018-01-01
Methods for investigating the vulnerability of existing or proposed coastal features to storm impacts often rely on simplified parametric models or one-dimensional process-based modeling studies that focus on changes to a profile across a dune or barrier island. These simple studies tend to neglect the impacts to curvilinear or alongshore varying island planforms, influence of non-uniform nearshore hydrodynamics and sediment transport, irregular morphology of the offshore bathymetry, and impacts from low magnitude wave events (e.g. cold fronts). Presented here is a framework for simulating regionally specific, low and high magnitude scenario-based storm impacts to assess the alongshore variable vulnerabilities of a coastal feature. Storm scenarios based on historic hydrodynamic conditions were derived and simulated using the process-based morphologic evolution model XBeach. Model results show that the scenarios predicted similar patterns of erosion and overwash when compared to observed qualitative morphologic changes from recent storm events that were not included in the dataset used to build the scenarios. The framework model simulations were capable of predicting specific areas of vulnerability in the existing feature and the results illustrate how this storm vulnerability simulation framework could be used as a tool to help inform the decision-making process for scientists, engineers, and stakeholders involved in coastal zone management or restoration projects.
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Lone-actor Terrorism and Impulsivity.
Meloy, J Reid; Pollard, Jeffrey W
2017-11-01
In some recent cases of lone-actor terrorism, there is evidence the subject acted impulsively, often in response to a triggering event which contained a loss and humiliation. Evidence suggests the subjects acted precipitously, despite planning and preparation carried out in the preceding weeks or months, and their attacks failed to include the often considerable preparation that had been done. The pathway became a runway. The authors recommend the traditional assessment of impulsivity in persons of concern for lone acts of terrorism, as well as other proximal warning behaviors for targeted violence. Both indirect and direct assessment guidelines are proposed, with an emphasis upon self-report, psychological testing, collateral data gathering, and historical records. © 2017 American Academy of Forensic Sciences.
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Model-based reasoning in the physics laboratory: Framework and initial results
NASA Astrophysics Data System (ADS)
Zwickl, Benjamin M.; Hu, Dehui; Finkelstein, Noah; Lewandowski, H. J.
2015-12-01
[This paper is part of the Focused Collection on Upper Division Physics Courses.] We review and extend existing frameworks on modeling to develop a new framework that describes model-based reasoning in introductory and upper-division physics laboratories. Constructing and using models are core scientific practices that have gained significant attention within K-12 and higher education. Although modeling is a broadly applicable process, within physics education, it has been preferentially applied to the iterative development of broadly applicable principles (e.g., Newton's laws of motion in introductory mechanics). A significant feature of the new framework is that measurement tools (in addition to the physical system being studied) are subjected to the process of modeling. Think-aloud interviews were used to refine the framework and demonstrate its utility by documenting examples of model-based reasoning in the laboratory. When applied to the think-aloud interviews, the framework captures and differentiates students' model-based reasoning and helps identify areas of future research. The interviews showed how students productively applied similar facets of modeling to the physical system and measurement tools: construction, prediction, interpretation of data, identification of model limitations, and revision. Finally, we document students' challenges in explicitly articulating assumptions when constructing models of experimental systems and further challenges in model construction due to students' insufficient prior conceptual understanding. A modeling perspective reframes many of the seemingly arbitrary technical details of measurement tools and apparatus as an opportunity for authentic and engaging scientific sense making.
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Methodology Evaluation Framework for Component-Based System Development.
ERIC Educational Resources Information Center
Dahanayake, Ajantha; Sol, Henk; Stojanovic, Zoran
2003-01-01
Explains component-based development (CBD) for distributed information systems and presents an evaluation framework, which highlights the extent to which a methodology is component oriented. Compares prominent CBD methods, discusses ways of modeling, and suggests that this is a first step towards a components-oriented systems development…
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Model-Based Reasoning in the Physics Laboratory: Framework and Initial Results
ERIC Educational Resources Information Center
Zwickl, Benjamin M.; Hu, Dehui; Finkelstein, Noah; Lewandowski, H. J.
2015-01-01
We review and extend existing frameworks on modeling to develop a new framework that describes model-based reasoning in introductory and upper-division physics laboratories. Constructing and using models are core scientific practices that have gained significant attention within K-12 and higher education. Although modeling is a broadly applicable…
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Systematic evaluation of deep learning based detection frameworks for aerial imagery
NASA Astrophysics Data System (ADS)
Sommer, Lars; Steinmann, Lucas; Schumann, Arne; Beyerer, Jürgen
2018-04-01
Object detection in aerial imagery is crucial for many applications in the civil and military domain. In recent years, deep learning based object detection frameworks significantly outperformed conventional approaches based on hand-crafted features on several datasets. However, these detection frameworks are generally designed and optimized for common benchmark datasets, which considerably differ from aerial imagery especially in object sizes. As already demonstrated for Faster R-CNN, several adaptations are necessary to account for these differences. In this work, we adapt several state-of-the-art detection frameworks including Faster R-CNN, R-FCN, and Single Shot MultiBox Detector (SSD) to aerial imagery. We discuss adaptations that mainly improve the detection accuracy of all frameworks in detail. As the output of deeper convolutional layers comprise more semantic information, these layers are generally used in detection frameworks as feature map to locate and classify objects. However, the resolution of these feature maps is insufficient for handling small object instances, which results in an inaccurate localization or incorrect classification of small objects. Furthermore, state-of-the-art detection frameworks perform bounding box regression to predict the exact object location. Therefore, so called anchor or default boxes are used as reference. We demonstrate how an appropriate choice of anchor box sizes can considerably improve detection performance. Furthermore, we evaluate the impact of the performed adaptations on two publicly available datasets to account for various ground sampling distances or differing backgrounds. The presented adaptations can be used as guideline for further datasets or detection frameworks.
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A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework.
Wei, Shengjing; Chen, Xiang; Yang, Xidong; Cao, Shuai; Zhang, Xu
2016-04-19
Sign language recognition (SLR) can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG) sensors, accelerometers (ACC), and gyroscopes (GYRO). In this framework, a sign word was considered to be a combination of five common sign components, including hand shape, axis, orientation, rotation, and trajectory, and sign classification was implemented based on the recognition of five components. Especially, the proposed SLR framework consisted of two major parts. The first part was to obtain the component-based form of sign gestures and establish the code table of target sign gesture set using data from a reference subject. In the second part, which was designed for new users, component classifiers were trained using a training set suggested by the reference subject and the classification of unknown gestures was performed with a code matching method. Five subjects participated in this study and recognition experiments under different size of training sets were implemented on a target gesture set consisting of 110 frequently-used Chinese Sign Language (CSL) sign words. The experimental results demonstrated that the proposed framework can realize large-scale gesture set recognition with a small-scale training set. With the smallest training sets (containing about one-third gestures of the target gesture set) suggested by two reference subjects, (82.6 ± 13.2)% and (79.7 ± 13.4)% average recognition accuracy were obtained for 110 words respectively, and the average recognition accuracy climbed up to (88 ± 13.7)% and (86.3 ± 13.7)% when the training set included 50~60 gestures (about half of the target gesture set). The proposed framework can significantly reduce the user's training burden in large-scale gesture recognition, which will facilitate the implementation of a practical SLR system.
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a Simulation-As Framework Facilitating Webgis Based Installation Planning
NASA Astrophysics Data System (ADS)
Zheng, Z.; Chang, Z. Y.; Fei, Y. F.
2017-09-01
Installation Planning is constrained by both natural and social conditions, especially for spatially sparse but functionally connected facilities. Simulation is important for proper deploy in space and configuration in function of facilities to make them a cohesive and supportive system to meet users' operation needs. Based on requirement analysis, we propose a framework to combine GIS and Agent simulation to overcome the shortness in temporal analysis and task simulation of traditional GIS. In this framework, Agent based simulation runs as a service on the server, exposes basic simulation functions, such as scenario configuration, simulation control, and simulation data retrieval to installation planners. At the same time, the simulation service is able to utilize various kinds of geoprocessing services in Agents' process logic to make sophisticated spatial inferences and analysis. This simulation-as-a-service framework has many potential benefits, such as easy-to-use, on-demand, shared understanding, and boosted performances. At the end, we present a preliminary implement of this concept using ArcGIS javascript api 4.0 and ArcGIS for server, showing how trip planning and driving can be carried out by agents.
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The key actor: a qualitative study of patient participation in the handover process in Europe
Flink, Maria; Hesselink, Gijs; Pijnenborg, Loes; Wollersheim, Hub; Vernooij-Dassen, Myrra; Dudzik-Urbaniak, Ewa; Orrego, Carola; Toccafondi, Giulio; Schoonhoven, Lisette; Gademan, Petra J; Johnson, Julie K; Öhlén, Gunnar; Hansagi, Helen; Olsson, Mariann; Barach, Paul
2012-01-01
Background Patient safety experts have postulated that increasing patient participation in communications during patient handovers will improve the quality of patient transitions, and that this may reduce hospital readmissions. Choosing strategies that enhance patient safety through improved handovers requires better understanding of patient experiences and preferences for participation. Objective The aim of this paper is to explore the patients’ experiences and perspectives related to the handovers between their primary care providers and the inpatient hospital. Methods A qualitative secondary analysis was performed, based on individual and focus group patient interviews with 90 patients in five European countries. Results The analysis revealed three themes: patient positioning in the handover process; prerequisites for patient participation and patient preferences for the handover process. Patients’ participation ranged from being the key actor, to sharing the responsibility with healthcare professional(s), to being passive participants. For active participation patients required both personal and social resources as well as prerequisites such as information and respect. Some patients preferred to be the key actor in charge; others preferred their healthcare professionals to be the key actors in the handover. Conclusions Patients’ participation is related to the healthcare system, the activity of healthcare professionals’ and patients’ capacity for participation. Patients prefer a handover process where the responsibility is clear and unambiguous. Healthcare organisations need a clear and well-considered system of responsibility for handover processes, that takes into account the individual patient's need of clarity, and support in relation to his/hers own recourses. PMID:23112290
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Inferring the Size of a Goal Object from an Actor's Grasping Movement in 6- and 9-Month-Old Infants
ERIC Educational Resources Information Center
Daum, Moritz M.; Vuori, Maria T.; Prinz, Wolfgang; Aschersleben, Gisa
2009-01-01
The present study applied a preferential looking paradigm to test whether 6- and 9-month old infants are able to infer the size of a goal object from an actor's grasping movement. The target object was a cup with the handle rotated either towards or away from the actor. In two experiments, infants saw the video of an actor's grasping movement…
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Liu, Hongjie; Xu, Yongfang; Lin, Xinjin; Shi, Jian; Chen, Shiyi
2013-01-01
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. 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). 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. 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.
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Dshell++: A Component Based, Reusable Space System Simulation Framework
NASA Technical Reports Server (NTRS)
Lim, Christopher S.; Jain, Abhinandan
2009-01-01
This paper describes the multi-mission Dshell++ simulation framework for high fidelity, physics-based simulation of spacecraft, robotic manipulation and mobility systems. Dshell++ is a C++/Python library which uses modern script driven object-oriented techniques to allow component reuse and a dynamic run-time interface for complex, high-fidelity simulation of spacecraft and robotic systems. The goal of the Dshell++ architecture is to manage the inherent complexity of physicsbased simulations while supporting component model reuse across missions. The framework provides several features that support a large degree of simulation configurability and usability.
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ERIC Educational Resources Information Center
Zivanovic, Judith
An examination of Albert Camus' definition of the actor in "The Myth on Sisyphus" helps to illuminate the character and role of The Player in Tom Stoppard's play and, hence, to bring light to an understanding of the philosophy of the play itself. The actor, for Camus, reveals our mortality in the face of the absurdity of our mortality,…
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A Conceptual Framework for Web-Based Learning Design
ERIC Educational Resources Information Center
Alomyan, Hesham
2017-01-01
The purpose of this paper is to provide a coherent framework to present the relationship between individual differences and web-based learning. Two individual difference factors have been identified for investigation within the present paper: Cognitive style and prior knowledge. The importance of individual differences is reviewed and previous…
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The Evidence-Based Reasoning Framework: Assessing Scientific Reasoning
ERIC Educational Resources Information Center
Brown, Nathaniel J. S.; Furtak, Erin Marie; Timms, Michael; Nagashima, Sam O.; Wilson, Mark
2010-01-01
Recent science education reforms have emphasized the importance of students engaging with and reasoning from evidence to develop scientific explanations. A number of studies have created frameworks based on Toulmin's (1958/2003) argument pattern, whereas others have developed systems for assessing the quality of students' reasoning to support…
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Development of an "Alert Framework" Based on the Practices in the Medical Front.
Sakata, Takuya; Araki, Kenji; Yamazaki, Tomoyoshi; Kawano, Koichi; Maeda, Minoru; Kushima, Muneo; Araki, Sanae
2018-05-09
At the University of Miyazaki Hospital (UMH), we have accumulated and semantically structured a vast amount of medical information since the activation of the electronic health record system approximately 10 years ago. With this medical information, we have decided to develop an alert system for aiding in medical treatment. The purpose of this investigation is to not only to integrate an alert framework into the electronic heath record system, but also to formulate a modeling method of this knowledge. A trial alert framework was developed for the staff in various occupational categories at the UMH. Based on findings of subsequent interviews, a more detailed and upgraded alert framework was constructed, resulting in the final model. Based on our current findings, an alert framework was developed with four major items. Based on the analysis of the medical practices from the trial model, it has been concluded that there are four major risk patterns that trigger the alert. Furthermore, the current alert framework contains detailed definitions which are easily substituted into the database, leading to easy implementation of the electronic health records.
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The Development of a Telemedicine Planning Framework Based on Needs Assessment.
AlDossary, Sharifah; Martin-Khan, Melinda G; Bradford, Natalie K; Armfield, Nigel R; Smith, Anthony C
2017-05-01
Providing equitable access to healthcare services in rural and remote communities is an ongoing challenge that faces most governments. By increasing access to specialty expertise, telemedicine may be a potential solution to this problem. Regardless of its potential, many telemedicine initiatives do not progress beyond the research phase, and are not implemented into mainstream practice. One reason may be that some telemedicine services are developed without the appropriate planning to ascertain community needs and clinical requirements. The aim of this paper is to report the development of a planning framework for telemedicine services based on needs assessment. The presented framework is based on the key processes in needs assessment, Penchansky and Thomas's dimensions of access, and Bradshaw's types of need. This proposed planning framework consists of two phases. Phase one comprises data collection and needs assessment, and includes assessment of availability and expressed needs; accessibility; perception and affordability. Phase two involves prioritising the demand for health services, balanced against the known limitations of supply, and the implementation of an appropriate telemedicine service that reflects and meets the needs of the community. Using a structured framework for the planning of telemedicine services, based on need assessment, may help with the identification and prioritisation of community health needs.
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Finding The Most Important Actor in Online Crowd by Social Network Analysis
NASA Astrophysics Data System (ADS)
Yuliana, I.; Santosa, P. I.; Setiawan, N. A.; Sukirman
2017-02-01
Billion of people create trillions of connections through social media every single day. The increasing use of social media has led to dramatic changes in the of way science, government, healthcare, entertainment and enterprise operate. Large-scale participation in Technology-Mediated Social Participation (TMSP) system has opened up incredible new opportunities to deploy online crowd. This descriptive-correlational research used social network analysis (SNA) on data gathered from Fanpage Facebook of Greenpeace Indonesia related to important critical issues, the bushfires in 2015. SNA identifies relations on each member by sociometrics parameter such as three centrality (degree, closeness and betweenesse) for measuring and finding the most important actor in the online community. This paper use Fruchterman Rein-gold algorithm to visualize the online community in a graph, while Clauset-Newman-Moore is a technique to identify groups in community. As the result found 3735 vertices related to actors, 6927 edges as relation, 14 main actors in size order and 22 groups in Greenpeace Indonesia online community. This research contributes to organize some information for Greenpeace Indonesia managing their potency in online community to identify human behaviour.
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Khayatzadeh-Mahani, Akram; Breton, Eric; Ruckert, Arne; Labonté, Ronald
2017-07-01
Shisha smoking is a widespread custom in Iran with a rapidly growing prevalence especially among the youth. In this article, we analyze the policy process of enforcing a federal/state ban on shisha smoking in all public places in Kerman Province, Iran. Guided by the Advocacy Coalition Framework (ACF), we investigate how a shisha smoking ban reached the political agenda in 2011, how it was framed by different policy actors, and why no significant breakthrough took place despite its inclusion on the agenda. We conducted a qualitative study using a case study approach. Two main sources of data were employed: face-to-face in-depth interviews and document analysis of key policy texts. We interviewed 24 policy actors from diverse sectors. A qualitative thematic framework, incorporating both inductive and deductive analyses, was employed to analyze our data. We found that the health sector was the main actor pushing the issue of shisha smoking onto the political agenda by framing it as a public health risk. The health sector and its allies advocated enforcement of a federal law to ban shisha smoking in all public places including teahouses and traditional restaurants whereas another group of actors opposed the ban. The pro-ban group was unable to neutralize the strategies of the anti-ban group and to steer the debate towards the health harms of shisha smoking. Our analysis uncovers three main reasons behind the policy stasis: lack of policy learning due to lack of agreement over evidence and related analytical conflicts between the two groups linked to differences in core and policy beliefs; the inability of the pro-ban group to exploit opportunities in the external policy subsystem through generating stronger public support for enforcement of the shisha smoking ban; and the nature of the institutional setting, in particular the autocratic governance of CHFS which contributed to a lack of policy learning within the policy subsystem. Our research demonstrated the utility
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A Risk-based Assessment And Management Framework For Multipollutant Air Quality
Frey, H. Christopher; Hubbell, Bryan
2010-01-01
The National Research Council recommended both a risk- and performance-based multipollutant approach to air quality management. Specifically, management decisions should be based on minimizing the exposure to, and risk of adverse effects from, multiple sources of air pollution and that the success of these decisions should be measured by how well they achieved this objective. We briefly describe risk analysis and its application within the current approach to air quality management. Recommendations are made as to how current practice could evolve to support a fully risk- and performance-based multipollutant air quality management system. The ability to implement a risk assessment framework in a credible and policy-relevant manner depends on the availability of component models and data which are scientifically sound and developed with an understanding of their application in integrated assessments. The same can be said about accountability assessments used to evaluate the outcomes of decisions made using such frameworks. The existing risk analysis framework, although typically applied to individual pollutants, is conceptually well suited for analyzing multipollutant management actions. Many elements of this framework, such as emissions and air quality modeling, already exist with multipollutant characteristics. However, the framework needs to be supported with information on exposure and concentration response relationships that result from multipollutant health studies. Because the causal chain that links management actions to emission reductions, air quality improvements, exposure reductions and health outcomes is parallel between prospective risk analyses and retrospective accountability assessments, both types of assessment should be placed within a single framework with common metrics and indicators where possible. Improvements in risk reductions can be obtained by adopting a multipollutant risk analysis framework within the current air quality management
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Gjærum, Rikke Gürgens; Ineland, Jens; Sauer, Lennart
2010-01-01
Nordic disability theater is a relatively new and interesting field of disability research. In this article, the authors provide an overview of the field of disability theater in a Nordic context. The article is based on a comparative analysis from 3 research projects conducted in Sweden and Norway. The projects used qualitative methods and were analyzed from different theoretical perspectives. Interviews were conducted at 4 different disability theaters involving actors with hearing impairments, intellectual disabilities, physical disabilities, and mental disabilities. The aim of this article is to illustrate how the organizational settings reflect different goals and aims at the political and artistic levels. The authors will also address the relationship between the theaters and the public opinion and media. Finally, they will illustrate in what way organization, recognition, and public approval play an important role for the actors' identity formation and sense of belonging.
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Risk Factors for Musculoskeletal Symptoms Among Korean Broadcast Actors.
Park, Moon-Hee; Kim, Ham-Gyum; Cho, Jae-Hwan
2015-01-01
Musculoskeletal diseases (MSDs) are functional disabilities in the musculoskeletal area that occur when continuous damage to the muscles or tissues is caused by performing a repetitive task. These diseases are usually found in the waist, shoulder, neck, arm, and wrist. MSD is also referred to as cumulative trauma disorder, repetitive strain injury, occupational overuse syndrome, and visual display terminal, depending on the country. The condition is now commonly referred to as work-related musculoskeletal disorder. The aim of this study was to develop a prevention plan against musculoskeletal disease and to provide better health care to broadcast actors by understanding the association between musculoskeletal symptoms and working conditions. The results of the study can be utilized to maintain effective systematic resources to treat such diseases. A survey was conducted in Seoul between January 1 and May 10, 2014 with broadcast actors working in the South Korean entertainment industry. Tests with respect to musculoskeletal symptoms indicated that the study participants were likely to experience having musculoskeletal symptoms in the shoulders, waist, neck, leg/foot, hand/wrist/finger, and arm/elbow. Most of the participants reported pain on both sides of their shoulders and in their legs/feet or on the right side of the arm/elbow and in hand/wrist/finger. Pain lasted between 1 and 7 days, with an incidence of 33.8% in the neck, 36% in the shoulders, 33.3% in the arm/elbow, 47.4% in the hand/wrist/finger, 34.7% in the waist, and 39.3% in the leg/foot. This study should prove useful in determining systematic and effective resources to prevent broadcast actors from developing MSD in the future. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.
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An ontology-based framework for bioinformatics workflows.
Digiampietri, Luciano A; Perez-Alcazar, Jose de J; Medeiros, Claudia Bauzer
2007-01-01
The proliferation of bioinformatics activities brings new challenges - how to understand and organise these resources, how to exchange and reuse successful experimental procedures, and to provide interoperability among data and tools. This paper describes an effort toward these directions. It is based on combining research on ontology management, AI and scientific workflows to design, reuse and annotate bioinformatics experiments. The resulting framework supports automatic or interactive composition of tasks based on AI planning techniques and takes advantage of ontologies to support the specification and annotation of bioinformatics workflows. We validate our proposal with a prototype running on real data.
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Implementing Value-Based Payment Reform: A Conceptual Framework and Case Examples.
Conrad, Douglas A; Vaughn, Matthew; Grembowski, David; Marcus-Smith, Miriam
2016-08-01
This article develops a conceptual framework for implementation of value-based payment (VBP) reform and then draws on that framework to systematically examine six distinct multi-stakeholder coalition VBP initiatives in three different regions of the United States. The VBP initiatives deploy the following payment models: reference pricing, "shadow" primary care capitation, bundled payment, pay for performance, shared savings within accountable care organizations, and global payment. The conceptual framework synthesizes prior models of VBP implementation. It describes how context, project objectives, payment and care delivery strategies, and the barriers and facilitators to translating strategy into implementation affect VBP implementation and value for patients. We next apply the framework to six case examples of implementation, and conclude by discussing the implications of the case examples and the conceptual framework for future practice and research. © The Author(s) 2015.
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Environmental governance in China: Interactions between the state and "nonstate actors".
Guttman, Dan; Young, Oran; Jing, Yijia; Bramble, Barbara; Bu, Maoliang; Chen, Carmen; Furst, Kathinka; Hu, Tao; Li, Yifei; Logan, Kate; Liu, Lingxuan; Price, Lydia; Spencer, Michael; Suh, Sangwon; Sun, Xiaopu; Tan, Bowen; Wang, Harold; Wang, Xin; Zhang, Juan; Zhang, Xinxin; Zeidan, Rodrigo
2018-08-15
In the West, limited government capacity to solve environmental problems has triggered the rise of a variety of "nonstate actors" to supplement government efforts or provide alternative mechanisms for addressing environmental issues. How does this development - along with our efforts to understand it - map onto environmental governance processes in China? China's efforts to address environmental issues reflect institutionalized governance processes that differ from parallel western processes in ways that have major consequences for domestic environmental governance practices and the governance of China "going abroad." China's governance processes blur the distinction between the state and other actors; the "shadow of the state" is a major factor in all efforts to address environmental issues. The space occupied by nonstate actors in western systems is occupied by shiye danwei ("public service units"), she hui tuanti ("social associations") and e-platforms, all of which have close links to the state. Meanwhile, international NGOs and multinational corporations are also significant players in China. As a result, the mechanisms of influence that produce effects in China differ in important ways from mechanisms familiar from the western experience. This conclusion has far-reaching implications for those seeking to address global environmental concerns, given the importance of China's growing economy and burgeoning network of trade relationships. Copyright © 2018 Elsevier Ltd. All rights reserved.
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Proposal of a Framework for Internet Based Licensing of Learning Objects
ERIC Educational Resources Information Center
Santos, Osvaldo A.; Ramos, Fernando M. S.
2004-01-01
This paper presents a proposal of a framework whose main objective is to manage the delivery and rendering of learning objects in a digital rights controlled environment. The framework is based on a digital licensing scheme that requires each learning object to have the proper license in order to be rendered by a trusted player. A conceptual model…
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Thermally activated delayed fluorescence of a Zr-based metal–organic framework
Mieno, H.; Kabe, R.; Allendorf, M. D.; ...
2017-12-22
Here, the first metal–organic framework exhibiting thermally activated delayed fluorescence (TADF) was developed. The zirconium-based framework (UiO-68-dpa) uses a newly designed linker composed of a terphenyl backbone, an electron-accepting carboxyl group, and an electron-donating diphenylamine and exhibits green TADF emission with a photoluminescence quantum yield of 30% and high thermal stability.
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Global Surgery 2030: a roadmap for high income country actors.
Ng-Kamstra, Joshua S; Greenberg, Sarah L M; Abdullah, Fizan; Amado, Vanda; Anderson, Geoffrey A; Cossa, Matchecane; Costas-Chavarri, Ainhoa; Davies, Justine; Debas, Haile T; Dyer, George S M; Erdene, Sarnai; Farmer, Paul E; Gaumnitz, Amber; Hagander, Lars; Haider, Adil; Leather, Andrew J M; Lin, Yihan; Marten, Robert; Marvin, Jeffrey T; McClain, Craig D; Meara, John G; Meheš, Mira; Mock, Charles; Mukhopadhyay, Swagoto; Orgoi, Sergelen; Prestero, Timothy; Price, Raymond R; Raykar, Nakul P; Riesel, Johanna N; Riviello, Robert; Rudy, Stephen M; Saluja, Saurabh; Sullivan, Richard; Tarpley, John L; Taylor, Robert H; Telemaque, Louis-Franck; Toma, Gabriel; Varghese, Asha; Walker, Melanie; Yamey, Gavin; Shrime, Mark G
2016-01-01
The Millennium Development Goals have ended and the Sustainable Development Goals have begun, marking a shift in the global health landscape. The frame of reference has changed from a focus on 8 development priorities to an expansive set of 17 interrelated goals intended to improve the well-being of all people. In this time of change, several groups, including the Lancet Commission on Global Surgery, have brought a critical problem to the fore: 5 billion people lack access to safe, affordable surgical and anaesthesia care when needed. The magnitude of this problem and the world's new focus on strengthening health systems mandate reimagined roles for and renewed commitments from high income country actors in global surgery. To discuss the way forward, on 6 May 2015, the Commission held its North American launch event in Boston, Massachusetts. Panels of experts outlined the current state of knowledge and agreed on the roles of surgical colleges and academic medical centres; trainees and training programmes; academia; global health funders; the biomedical devices industry, and news media and advocacy organisations in building sustainable, resilient surgical systems. This paper summarises these discussions and serves as a consensus statement providing practical advice to these groups. It traces a common policy agenda between major actors and provides a roadmap for maximising benefit to surgical patients worldwide. To close the access gap by 2030, individuals and organisations must work collectively, interprofessionally and globally. High income country actors must abandon colonial narratives and work alongside low and middle income country partners to build the surgical systems of the future.
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Global Surgery 2030: a roadmap for high income country actors
Greenberg, Sarah L M; Abdullah, Fizan; Amado, Vanda; Anderson, Geoffrey A; Cossa, Matchecane; Costas-Chavarri, Ainhoa; Davies, Justine; Debas, Haile T; Dyer, George S M; Erdene, Sarnai; Farmer, Paul E; Gaumnitz, Amber; Hagander, Lars; Haider, Adil; Leather, Andrew J M; Lin, Yihan; Marten, Robert; Marvin, Jeffrey T; McClain, Craig D; Meara, John G; Meheš, Mira; Mock, Charles; Mukhopadhyay, Swagoto; Orgoi, Sergelen; Prestero, Timothy; Price, Raymond R; Raykar, Nakul P; Riesel, Johanna N; Riviello, Robert; Rudy, Stephen M; Saluja, Saurabh; Sullivan, Richard; Tarpley, John L; Taylor, Robert H; Telemaque, Louis-Franck; Toma, Gabriel; Varghese, Asha; Walker, Melanie; Yamey, Gavin; Shrime, Mark G
2016-01-01
The Millennium Development Goals have ended and the Sustainable Development Goals have begun, marking a shift in the global health landscape. The frame of reference has changed from a focus on 8 development priorities to an expansive set of 17 interrelated goals intended to improve the well-being of all people. In this time of change, several groups, including the Lancet Commission on Global Surgery, have brought a critical problem to the fore: 5 billion people lack access to safe, affordable surgical and anaesthesia care when needed. The magnitude of this problem and the world's new focus on strengthening health systems mandate reimagined roles for and renewed commitments from high income country actors in global surgery. To discuss the way forward, on 6 May 2015, the Commission held its North American launch event in Boston, Massachusetts. Panels of experts outlined the current state of knowledge and agreed on the roles of surgical colleges and academic medical centres; trainees and training programmes; academia; global health funders; the biomedical devices industry, and news media and advocacy organisations in building sustainable, resilient surgical systems. This paper summarises these discussions and serves as a consensus statement providing practical advice to these groups. It traces a common policy agenda between major actors and provides a roadmap for maximising benefit to surgical patients worldwide. To close the access gap by 2030, individuals and organisations must work collectively, interprofessionally and globally. High income country actors must abandon colonial narratives and work alongside low and middle income country partners to build the surgical systems of the future. PMID:28588908
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Ormezzano, Y; Delale, A; Lamy-Simonian, A
2011-01-01
In July 2009, at the beginning of this work, 26 theses addressing professional principles of voice were listed in the database of SUDOC (Système Universitaire de Documentation): 9 related to voices of teachers (about 900,000* professionals in France), 14 theses relating to singers (7500** professionals), and only 3 about the voice of actors (20 000*** professional actors in France in 2006). The latter pertaining to concerning rookie actors (sensibilisation vocale auprès du comédien débutant Bichet, Linda, Bordeaux II, 2006), the mechanical larynx (étude des mécanismes laryngés dans la voix projetée: cas particulier des comédiennes Guerin, Mélanie, Paris VI, 2009), vocal fatigue (Fatigue vocale après une tâche d'utilisation prolongée de la voix chez le comédien Canaan Baggioni, Brigitte, Aix-Marseille II, 2009). Professional actors are plentiful; their training in vocal technique is very heterogeneous, or non-existent: it is not a prerequisite to have a degree to work as an actor! This lack of vocal technique is associated with risk factors specific to the acting profession: numerous travels in air-conditioned vehicles, unsuitable workplaces; dusty or poorly heated, irregular working patterns, excessive demands from directors... All this makes the actors highly susceptible to voice disorders. The protocol for the prevention of voice disorders presented here is holistic and ecological. This work also examines the effectiveness of such a preventive protocol aimed at theatre comedians.
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Researching the Habitus of Global Policy Actors in Education
ERIC Educational Resources Information Center
Lingard, Bob; Sellar, Sam; Baroutsis, Aspa
2015-01-01
This paper reprises the argument for the emergence of a global education policy field and then focuses on the shared habitus of global and national policy actors and technicians. It is argued that this shared habitus is constituted as a reflection of and a contribution to the creation of the global education policy field. Bourdieu's approach to…
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Dang-Xuan, Sinh; Nguyen-Viet, Hung; Meeyam, Tongkorn; Fries, Reinhard; Nguyen-Thanh, Huong; Pham-Duc, Phuc; Lam, Steven; Grace, Delia; Unger, Fred
2016-09-01
Pork safety is an important public health concern in Vietnam and is a shared responsibility among many actors along the pork value chain. We examined the knowledge, perceptions, and practices regarding food safety, disease, and health risk among selected pork value chain actors (slaughterhouse owners and workers, people living around slaughterhouses, pork sellers, consumers, and veterinary and public health staff) in three districts in Hung Yen Province, Vietnam. We randomly selected 52 pork value chain actors to be surveyed through questionnaires, observation checklists, key informant interviews, and focus group discussions. Most slaughterhouse workers acquired knowledge and experience of food safety through "learning by doing" rather than from training by a veterinary or public health professional. Both slaughterhouse worker and pork seller groups had some accurate perceptions about pig diseases and foodborne diseases; however, misperceptions of risk and, especially, of zoonoses were present. Furthermore, while workers and sellers often use cloths to dry the meat and clean equipment, they did not think this was a risk for meat contamination. Moreover, when sellers wear protective equipment, such as gloves, masks, or hats, consumers perceive that the sellers may have health issues they are trying to conceal and so consumers avoid buying from them. The perceived freshness of pork, along with trust in the seller and in the pork production process, were strong indicators of consumer preference. And yet, pork value chain actors tend to trust their own individual food safety practices more, rather than the practices of other actors along the chain. Veterinary and public health staff emphasized the gap between regulations and food safety practices. Education and training on food safety risks and proper handling are priorities, along with integrated and intensive efforts to improve food safety among pork value chain actors.
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The population-development tangle. Aspects and actors.
Sen, G
1993-01-01
Since the 1974 Population Conference, the population field has become of interest to members of the fundamentalist right wing, feminists, and environmentalists. Therefore, it is necessary to understand the areas of agreement and disagreement among each set of actors as well as how they define the issues. Currently, development discourse is characterized by considerations of: 1) economic growth, 2) the provision of livelihoods, 3) the provision of basic needs, 4) ecological sustainability and renewability, and 5) political participation. The actors who define the terms of this discourse include: 1) corporate interests, which concentrate on economic growth; 2) international and national agencies, which place primary importance on economic growth and some importance on basic needs and ecological sustainability; 3) popular organizations and social movements, which concentrate on livelihoods, basic needs, and political participation; and 4) environmentalists, who focus on ecological sustainability, economic growth, and (occasionally) political participation. The field of population, on the other hand, is dominated by traditional populationists, whose primary focus is economic growth; developmentalists; the fundamentalist right, who are most concerned with family and control over reproduction; environmentalists; and the women's movement, which is most concerned with reproductive rights and reproductive health. When the perspective of poor women is considered, it can be seen that economic growth and ecological sustainability must support the securing of livelihoods, basic needs, political participation, and reproductive rights, and that reproductive health programs must be part of an overall health agenda.
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A process-based framework for soil ecosystem services study and management.
Su, Changhong; Liu, Huifang; Wang, Shuai
2018-06-15
Soil provides various indispensable ecosystem services for human society. Soil's complex structure and property makes the soil ecological processes complicated and brings about tough challenges for soil ecosystem services study. Most of the current frameworks on soil services focus exclusively on services per se, neglecting the links and underlying ecological mechanisms. This article put forward a framework on soil services by stressing the underlying soil mechanisms and processes, which includes: 1) analyzing soil natural capital stock based on soil structure and property, 2) disentangling the underlying complex links and soil processes, 3) soil services valuation based on field investigation and spatial explicit models, and 4) enacting soil management strategy based on soil services and their driving factors. By application of this framework, we assessed the soil services of sediment retention, water yield, and grain production in the Upper-reach Fenhe Watershed. Based on the ecosystem services and human driving factors, the whole watershed was clustered into five groups: 1) municipal area, 2) typical coal mining area, 3) traditional farming area, 4) unsustainable urbanizing area, and 5) ecological conservation area. Management strategies on soils were made according to the clustering based soil services and human activities. Copyright © 2018 Elsevier B.V. All rights reserved.
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A Cluster-Based Framework for the Security of Medical Sensor Environments
NASA Astrophysics Data System (ADS)
Klaoudatou, Eleni; Konstantinou, Elisavet; Kambourakis, Georgios; Gritzalis, Stefanos
The adoption of Wireless Sensor Networks (WSNs) in the healthcare sector poses many security issues, mainly because medical information is considered particularly sensitive. The security mechanisms employed are expected to be more efficient in terms of energy consumption and scalability in order to cope with the constrained capabilities of WSNs and patients’ mobility. Towards this goal, cluster-based medical WSNs can substantially improve efficiency and scalability. In this context, we have proposed a general framework for cluster-based medical environments on top of which security mechanisms can rely. This framework fully covers the varying needs of both in-hospital environments and environments formed ad hoc for medical emergencies. In this paper, we further elaborate on the security of our proposed solution. We specifically focus on key establishment mechanisms and investigate the group key agreement protocols that can best fit in our framework.
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Creating a nursing strategic planning framework based on evidence.
Shoemaker, Lorie K; Fischer, Brenda
2011-03-01
This article describes an evidence-informed strategic planning process and framework used by a Magnet-recognized public health system in California. This article includes (1) an overview of the organization and its strategic planning process, (2) the structure created within nursing for collaborative strategic planning and decision making, (3) the strategic planning framework developed based on the organization's balanced scorecard domains and the new Magnet model, and (4) the process undertaken to develop the nursing strategic priorities. Outcomes associated with the structure, process, and key initiatives are discussed throughout the article. Copyright © 2011 Elsevier Inc. All rights reserved.
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Golkhou, Vahid; Parnianpour, Mohamad; Lucas, Caro
2005-04-01
In this study, we have used a single link system with a pair of muscles that are excited with alpha and gamma signals to achieve both point to point and oscillatory movements with variable amplitude and frequency.The system is highly nonlinear in all its physical and physiological attributes. The major physiological characteristics of this system are simultaneous activation of a pair of nonlinear muscle-like-actuators for control purposes, existence of nonlinear spindle-like sensors and Golgi tendon organ-like sensor, actions of gravity and external loading. Transmission delays are included in the afferent and efferent neural paths to account for a more accurate representation of the reflex loops.A reinforcement learning method with an actor-critic (AC) architecture instead of middle and low level of central nervous system (CNS), is used to track a desired trajectory. The actor in this structure is a two layer feedforward neural network and the critic is a model of the cerebellum. The critic is trained by state-action-reward-state-action (SARSA) method. The critic will train the actor by supervisory learning based on the prior experiences. Simulation studies of oscillatory movements based on the proposed algorithm demonstrate excellent tracking capability and after 280 epochs the RMS error for position and velocity profiles were 0.02, 0.04 rad and rad/s, respectively.
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ACToR – Aggregated Computational Toxicology Resource ...
ACToR (Aggregated Computational Toxicology Resource) is a collection of databases collated or developed by the US EPA National Center for Computational Toxicology (NCCT). More than 200 sources of publicly available data on environmental chemicals have been brought together and made searchable by chemical name and other identifiers, and by chemical structure. Data includes chemical structure, physico-chemical values, in vitro assay data and in vivo toxicology data. Chemicals include, but are not limited to, high and medium production volume industrial chemicals, pesticides (active and inert ingredients), and potential ground and drinking water contaminants.
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Environmental Stewardship: A Conceptual Review and Analytical Framework.
Bennett, Nathan J; Whitty, Tara S; Finkbeiner, Elena; Pittman, Jeremy; Bassett, Hannah; Gelcich, Stefan; Allison, Edward H
2018-04-01
There has been increasing attention to and investment in local environmental stewardship in conservation and environmental management policies and programs globally. Yet environmental stewardship has not received adequate conceptual attention. Establishing a clear definition and comprehensive analytical framework could strengthen our ability to understand the factors that lead to the success or failure of environmental stewardship in different contexts and how to most effectively support and enable local efforts. Here we propose such a definition and framework. First, we define local environmental stewardship as the actions taken by individuals, groups or networks of actors, with various motivations and levels of capacity, to protect, care for or responsibly use the environment in pursuit of environmental and/or social outcomes in diverse social-ecological contexts. Next, drawing from a review of the environmental stewardship, management and governance literatures, we unpack the elements of this definition to develop an analytical framework that can facilitate research on local environmental stewardship. Finally, we discuss potential interventions and leverage points for promoting or supporting local stewardship and future applications of the framework to guide descriptive, evaluative, prescriptive or systematic analysis of environmental stewardship. Further application of this framework in diverse environmental and social contexts is recommended to refine the elements and develop insights that will guide and improve the outcomes of environmental stewardship initiatives and investments. Ultimately, our aim is to raise the profile of environmental stewardship as a valuable and holistic concept for guiding productive and sustained relationships with the environment.
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Environmental Stewardship: A Conceptual Review and Analytical Framework
NASA Astrophysics Data System (ADS)
Bennett, Nathan J.; Whitty, Tara S.; Finkbeiner, Elena; Pittman, Jeremy; Bassett, Hannah; Gelcich, Stefan; Allison, Edward H.
2018-04-01
There has been increasing attention to and investment in local environmental stewardship in conservation and environmental management policies and programs globally. Yet environmental stewardship has not received adequate conceptual attention. Establishing a clear definition and comprehensive analytical framework could strengthen our ability to understand the factors that lead to the success or failure of environmental stewardship in different contexts and how to most effectively support and enable local efforts. Here we propose such a definition and framework. First, we define local environmental stewardship as the actions taken by individuals, groups or networks of actors, with various motivations and levels of capacity, to protect, care for or responsibly use the environment in pursuit of environmental and/or social outcomes in diverse social-ecological contexts. Next, drawing from a review of the environmental stewardship, management and governance literatures, we unpack the elements of this definition to develop an analytical framework that can facilitate research on local environmental stewardship. Finally, we discuss potential interventions and leverage points for promoting or supporting local stewardship and future applications of the framework to guide descriptive, evaluative, prescriptive or systematic analysis of environmental stewardship. Further application of this framework in diverse environmental and social contexts is recommended to refine the elements and develop insights that will guide and improve the outcomes of environmental stewardship initiatives and investments. Ultimately, our aim is to raise the profile of environmental stewardship as a valuable and holistic concept for guiding productive and sustained relationships with the environment.
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A distributed cloud-based cyberinfrastructure framework for integrated bridge monitoring
NASA Astrophysics Data System (ADS)
Jeong, Seongwoon; Hou, Rui; Lynch, Jerome P.; Sohn, Hoon; Law, Kincho H.
2017-04-01
This paper describes a cloud-based cyberinfrastructure framework for the management of the diverse data involved in bridge monitoring. Bridge monitoring involves various hardware systems, software tools and laborious activities that include, for examples, a structural health monitoring (SHM), sensor network, engineering analysis programs and visual inspection. Very often, these monitoring systems, tools and activities are not coordinated, and the collected information are not shared. A well-designed integrated data management framework can support the effective use of the data and, thereby, enhance bridge management and maintenance operations. The cloud-based cyberinfrastructure framework presented herein is designed to manage not only sensor measurement data acquired from the SHM system, but also other relevant information, such as bridge engineering model and traffic videos, in an integrated manner. For the scalability and flexibility, cloud computing services and distributed database systems are employed. The information stored can be accessed through standard web interfaces. For demonstration, the cyberinfrastructure system is implemented for the monitoring of the bridges located along the I-275 Corridor in the state of Michigan.
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NASA Astrophysics Data System (ADS)
White, Holly M.; Fields, Jeremy; Hall, Robert T.; White, Joshua S.
2016-05-01
Bullying is a national problem for families, courts, schools, and the economy. Social, educational, and professional lives of victims are affected. Early detection of bullies mitigates destructive effects of bullying. Our previous research found, given specific characteristics of an actor, actor logics can be developed utilizing input from natural language processing and graph analysis. Given similar characteristics of cyberbullies, in this paper, we create specific actor logics and apply these to a select social media dataset for the purpose of rapid identification of cyberbullying.
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Action recognition is sensitive to the identity of the actor.
Ferstl, Ylva; Bülthoff, Heinrich; de la Rosa, Stephan
2017-09-01
Recognizing who is carrying out an action is essential for successful human interaction. The cognitive mechanisms underlying this ability are little understood and have been subject of discussions in embodied approaches to action recognition. Here we examine one solution, that visual action recognition processes are at least partly sensitive to the actor's identity. We investigated the dependency between identity information and action related processes by testing the sensitivity of neural action recognition processes to clothing and facial identity information with a behavioral adaptation paradigm. Our results show that action adaptation effects are in fact modulated by both clothing information and the actor's facial identity. The finding demonstrates that neural processes underlying action recognition are sensitive to identity information (including facial identity) and thereby not exclusively tuned to actions. We suggest that such response properties are useful to help humans in knowing who carried out an action. Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.
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Budde, Björn; Alkemade, Floortje; Weber, K. Matthias
2012-01-01
Due to its environmental impact, the mobility system is increasingly under pressure. The challenges to cope with climate change, air quality, depleting fossil resources imply the need for a transition of the current mobility system towards a more sustainable one. Expectations and visions have been identified as crucial in the guidance of such transitions, and more specifically of actor strategies. Still, it remained unclear why the actors involved in transition activities appear to change their strategies frequently and suddenly. The empirical analysis of the expectations and strategies of three actors in the field of hydrogen and fuel cell technology indicates that changing actor strategies can be explained by rather volatile expectations related to different levels. Our case studies of the strategies of two large car manufacturers and the German government demonstrate that the car manufacturers refer strongly to expectations about the future regime, while expectations related to the socio-technical landscape level appear to be crucial for the strategy of the German government. PMID:24850974
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Budde, Björn; Alkemade, Floortje; Weber, K Matthias
2012-07-01
Due to its environmental impact, the mobility system is increasingly under pressure. The challenges to cope with climate change, air quality, depleting fossil resources imply the need for a transition of the current mobility system towards a more sustainable one. Expectations and visions have been identified as crucial in the guidance of such transitions, and more specifically of actor strategies. Still, it remained unclear why the actors involved in transition activities appear to change their strategies frequently and suddenly. The empirical analysis of the expectations and strategies of three actors in the field of hydrogen and fuel cell technology indicates that changing actor strategies can be explained by rather volatile expectations related to different levels. Our case studies of the strategies of two large car manufacturers and the German government demonstrate that the car manufacturers refer strongly to expectations about the future regime, while expectations related to the socio-technical landscape level appear to be crucial for the strategy of the German government.
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Physiome-model-based state-space framework for cardiac deformation recovery.
Wong, Ken C L; Zhang, Heye; Liu, Huafeng; Shi, Pengcheng
2007-11-01
To more reliably recover cardiac information from noise-corrupted, patient-specific measurements, it is essential to employ meaningful constraining models and adopt appropriate optimization criteria to couple the models with the measurements. Although biomechanical models have been extensively used for myocardial motion recovery with encouraging results, the passive nature of such constraints limits their ability to fully count for the deformation caused by active forces of the myocytes. To overcome such limitations, we propose to adopt a cardiac physiome model as the prior constraint for cardiac motion analysis. The cardiac physiome model comprises an electric wave propagation model, an electromechanical coupling model, and a biomechanical model, which are connected through a cardiac system dynamics for a more complete description of the macroscopic cardiac physiology. Embedded within a multiframe state-space framework, the uncertainties of the model and the patient's measurements are systematically dealt with to arrive at optimal cardiac kinematic estimates and possibly beyond. Experiments have been conducted to compare our proposed cardiac-physiome-model-based framework with the solely biomechanical model-based framework. The results show that our proposed framework recovers more accurate cardiac deformation from synthetic data and obtains more sensible estimates from real magnetic resonance image sequences. With the active components introduced by the cardiac physiome model, cardiac deformations recovered from patient's medical images are more physiologically plausible.
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An evidence-based framework to measure quality of allied health care.
Grimmer, Karen; Lizarondo, Lucylynn; Kumar, Saravana; Bell, Erica; Buist, Michael; Weinstein, Philip
2014-02-26
There is no standard way of describing the complexities of allied health (AH) care, or its quality. AH is an umbrella term which excludes medicine and nursing, and variably includes disciplines which provide therapy, diagnostic, or scientific services. This paper outlines a framework for a standard approach to evaluate the quality of AH therapy services. A realist synthesis framework describing what AH does, how it does it, and what is achieved, was developed. This was populated by the findings of a systematic review of literature published since 1980 reporting concepts of quality relevant to AH. Articles were included on quality measurement concepts, theories, debates, and/or hypothetical frameworks. Of 139 included articles, 21 reported on descriptions of quality potentially relevant to AH. From these, 24 measures of quality were identified, with 15 potentially relating to what AH does, 17 to how AH delivers care, 8 relating to short term functional outcomes, and 9 relating to longer term functional and health system outcomes. A novel evidence-based quality framework was proposed to address the complexity of AH therapies. This should assist in better evaluation of AH processes and outcomes, costs, and evidence-based engagement of AH providers in healthcare teams.
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An adaptive framework to differentiate receiving water quality impacts on a multi-scale level.
Blumensaat, F; Tränckner, J; Helm, B; Kroll, S; Dirckx, G; Krebs, P
2013-01-01
The paradigm shift in recent years towards sustainable and coherent water resources management on a river basin scale has changed the subject of investigations to a multi-scale problem representing a great challenge for all actors participating in the management process. In this regard, planning engineers often face an inherent conflict to provide reliable decision support for complex questions with a minimum of effort. This trend inevitably increases the risk to base decisions upon uncertain and unverified conclusions. This paper proposes an adaptive framework for integral planning that combines several concepts (flow balancing, water quality monitoring, process modelling, multi-objective assessment) to systematically evaluate management strategies for water quality improvement. As key element, an S/P matrix is introduced to structure the differentiation of relevant 'pressures' in affected regions, i.e. 'spatial units', which helps in handling complexity. The framework is applied to a small, but typical, catchment in Flanders, Belgium. The application to the real-life case shows: (1) the proposed approach is adaptive, covers problems of different spatial and temporal scale, efficiently reduces complexity and finally leads to a transparent solution; and (2) water quality and emission-based performance evaluation must be done jointly as an emission-based performance improvement does not necessarily lead to an improved water quality status, and an assessment solely focusing on water quality criteria may mask non-compliance with emission-based standards. Recommendations derived from the theoretical analysis have been put into practice.
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Zevin, Boris; Levy, Jeffrey S; Satava, Richard M; Grantcharov, Teodor P
2012-10-01
Simulation-based training can improve technical and nontechnical skills in surgery. To date, there is no consensus on the principles for design, validation, and implementation of a simulation-based surgical training curriculum. The aim of this study was to define such principles and formulate them into an interoperable framework using international expert consensus based on the Delphi method. Literature was reviewed, 4 international experts were queried, and consensus conference of national and international members of surgical societies was held to identify the items for the Delphi survey. Forty-five international experts in surgical education were invited to complete the online survey by ranking each item on a Likert scale from 1 to 5. Consensus was predefined as Cronbach's α ≥0.80. Items that 80% of experts ranked as ≥4 were included in the final framework. Twenty-four international experts with training in general surgery (n = 11), orthopaedic surgery (n = 2), obstetrics and gynecology (n = 3), urology (n = 1), plastic surgery (n = 1), pediatric surgery (n = 1), otolaryngology (n = 1), vascular surgery (n = 1), military (n = 1), and doctorate-level educators (n = 2) completed the iterative online Delphi survey. Consensus among participants was achieved after one round of the survey (Cronbach's α = 0.91). The final framework included predevelopment analysis; cognitive, psychomotor, and team-based training; curriculum validation evaluation and improvement; and maintenance of training. The Delphi methodology allowed for determination of international expert consensus on the principles for design, validation, and implementation of a simulation-based surgical training curriculum. These principles were formulated into a framework that can be used internationally across surgical specialties as a step-by-step guide for the development and validation of future simulation-based training curricula. Copyright © 2012 American College of Surgeons. Published by
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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
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An Attribute Based Access Control Framework for Healthcare System
NASA Astrophysics Data System (ADS)
Afshar, Majid; Samet, Saeed; Hu, Ting
2018-01-01
Nowadays, access control is an indispensable part of the Personal Health Record and supplies for its confidentiality by enforcing policies and rules to ensure that only authorized users gain access to requested resources in the system. In other words, the access control means protecting patient privacy in healthcare systems. Attribute-Based Access Control (ABAC) is a new access control model that can be used instead of other traditional types of access control such as Discretionary Access Control, Mandatory Access Control, and Role-Based Access Control. During last five years ABAC has shown some applications in both recent academic fields and industry purposes. ABAC by using user’s attributes and resources, makes a decision according to an access request. In this paper, we propose an ABAC framework for healthcare system. We use the engine of ABAC for rendering and enforcing healthcare policies. Moreover, we handle emergency situations in this framework.
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Golkhou, V; Parnianpour, M; Lucas, C
2004-01-01
In this study, we consider the role of multisensor data fusion in neuromuscular control using an actor-critic reinforcement learning method. The model we use is a single link system actuated by a pair of muscles that are excited with alpha and gamma signals. Various physiological sensor information such as proprioception, spindle sensors, and Golgi tendon organs have been integrated to achieve an oscillatory movement with variable amplitude and frequency, while achieving a stable movement with minimum metabolic cost and coactivation. The system is highly nonlinear in all its physical and physiological attributes. Transmission delays are included in the afferent and efferent neural paths to account for a more accurate representation of the reflex loops. This paper proposes a reinforcement learning method with an Actor-Critic architecture instead of middle and low level of central nervous system (CNS). The Actor in this structure is a two layer feedforward neural network and the Critic is a model of the cerebellum. The Critic is trained by the State-Action-Reward-State-Action (SARSA) method. The Critic will train the Actor by supervisory learning based on previous experiences. The reinforcement signal in SARSA is evaluated based on available alternatives concerning the concept of multisensor data fusion. The effectiveness and the biological plausibility of the present model are demonstrated by several simulations. The system showed excellent tracking capability when we integrated the available sensor information. Addition of a penalty for activation of muscles resulted in much lower muscle coactivation while keeping the movement stable.
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Construct Definition Using Cognitively Based Evidence: A Framework for Practice
ERIC Educational Resources Information Center
Ketterlin-Geller, Leanne R.; Yovanoff, Paul; Jung, EunJu; Liu, Kimy; Geller, Josh
2013-01-01
In this article, we highlight the need for a precisely defined construct in score-based validation and discuss the contribution of cognitive theories to accurately and comprehensively defining the construct. We propose a framework for integrating cognitively based theoretical and empirical evidence to specify and evaluate the construct. We apply…
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A framework for profiling the characteristics of risk governance in natural hazard contexts
NASA Astrophysics Data System (ADS)
Walker, G.; Tweed, F.; Whittle, R.
2014-01-01
Over recent decades there have been moves away from traditional forms of government towards broader practices of "governance". These moves are as relevant to the handling of natural hazards as they are to other societal concerns. Key characteristics of such changes include the emergence of multi-level governance processes, shifts away from the exercise of centralised authority towards the involvement and collaboration of a multiplicity of actors, the creation of new forms of authority and control, and changing distributions of responsibilities between the state and other actors. However, the extent to which these shifts have taken place across the varied national contexts in Europe and can be observed specifically in relation to the governance of natural hazards is not at all clear. Such developments may also be evaluated in different ways; where some might see progressive reforms, others might see damaging undermining of established arrangements. In this paper, we propose a risk governance profiling framework that can be used to draw out the key characteristics of the ways in which natural hazards are governed in a particular governance setting. The framework can be flexibly applied in relation to a specific hazard and national, regional or local context, and enables qualitative profiling across a spectrum of eight key governance characteristics. Past trends and likely future changes can also be represented. We discuss the formulation of this framework as well as giving examples of profiles for different hazards in different parts of Europe. We suggest ways in which comparisons can be made between governance profiles, providing a stimulus and focus for debate and discussion around the trends of change in governance practice that have been, and are continuing, to take place.
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Framework for the Development of OER-Based Learning Materials in ODL Environment
ERIC Educational Resources Information Center
Teng, Khor Ean; Hung, Chung Sheng
2013-01-01
This paper describes the framework for the development of OER-based learning materials "TCC121/05 Programming Fundamentals with Java" for ODL learners in Wawasan Open University (WOU) using three main development phases mainly: creation, evaluation and production phases. The proposed framework has further been tested on ODL learners to…
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Granados-Cosme, José Arturo; Nasaiya, Kittipong; Brambila, Alberto Torres
2007-03-01
Studies and recommendations by health agencies have emphasized the importance of education in HIV-AIDS prevention. Mexico has included topics on sexuality and HIV-AIDS in school programs, triggering resistance by some social actors. The current study seeks to clarify the various positions and interests and their influence on the textbook content. A literature search was conducted on the period during which the last educational reform was implemented in Mexico. The discourse analysis focused on the ethnography of communication, which identified: the various actors' positions, arguments, actions, economic and political power, and relations to others. The results show that those who oppose the inclusion of these themes in the school curriculum base their position on tradition, contrary to modernization and secularization of social life, and that their positions range from refusal to raising conditions. Networks have been formed that provide such groups with significant economic and political power. Government has given in to some demands by partially modifying the textbook contents. The current analysis proposes to reflect on the potential repercussions of such actions on the control of the epidemic.
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A Profile-Based Framework for Factorial Similarity and the Congruence Coefficient.
Hartley, Anselma G; Furr, R Michael
2017-01-01
We present a novel profile-based framework for understanding factorial similarity in the context of exploratory factor analysis in general, and for understanding the congruence coefficient (a commonly used index of factor similarity) specifically. First, we introduce the profile-based framework articulating factorial similarity in terms of 3 intuitive components: general saturation similarity, differential saturation similarity, and configural similarity. We then articulate the congruence coefficient in terms of these components, along with 2 additional profile-based components, and we explain how these components resolve ambiguities that can be-and are-found when using the congruence coefficient. Finally, we present secondary analyses revealing that profile-based components of factorial are indeed linked to experts' actual evaluations of factorial similarity. Overall, the profile-based approach we present offers new insights into the ways in which researchers can examine factor similarity and holds the potential to enhance researchers' ability to understand the congruence coefficient.
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Modeling Homophily over Time with an Actor-Partner Interdependence Model
ERIC Educational Resources Information Center
Popp, Danielle; Laursen, Brett; Kerr, Margaret; Stattin, Hakan; Burk, William J.
2008-01-01
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,…
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Seven Consciousness-Expanding Techniques and Their Relevance to Actor Training.
ERIC Educational Resources Information Center
Feldshuh, David Mark
This dissertation explores techniques that assist actors in getting their minds and bodies out of the way through consciousness-expanding. The techniques examined here attempt to promote a permeability, a childlike quality of presence, and are largely drawn from Eastern philosophies. Part one of this dissertation discusses structural integration,…
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Sariyar, M; Borg, A; Heidinger, O; Pommerening, K
2013-03-01
We present a framework for data management processes in population-based medical registries. Existing guidelines lack the concreteness we deem necessary for them to be of practical use, especially concerning the establishment of new registries. Therefore, we propose adjustments and concretisations with regard to data quality, data privacy, data security and registry purposes. First, we separately elaborate on the issues to be included into the framework and present proposals for their improvements. Thereafter, we provide a framework for medical registries based on quasi-standard-operation procedures. The main result is a concise and scientifically based framework that tries to be both broad and concrete. Within that framework, we distinguish between data acquisition, data storage and data presentation as sub-headings. We use the framework to categorise and evaluate the data management processes of a German cancer registry. The standardisation of data management processes in medical registries is important to guarantee high quality of the registered data, to enhance the realisation of purposes, to increase efficiency and to enable comparisons between registries. Our framework is destined to show how one central impediment for such standardisations - lack of practicality - can be addressed on scientific grounds.
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Hilton, Shona
2015-01-01
Aims: To explore how policy actors attempted to deliberately frame public debate around alcohol minimum unit pricing (MUP) in the UK by comparing and contrasting their constructions of the policy in public (newspapers), semi-public (evidence submissions) and private (interviews). Methods: Content analysis was conducted on articles published in ten national newspapers between 1 January 2005 and 30 June 2012. Newsprint data were contrasted with alcohol policy documents, evidence submissions to the Scottish Parliament's Health and Sport Committee and 36 confidential interviews with policy stakeholders (academics, advocates, industry representatives, politicians and civil servants). Findings: A range of policy actors exerted influence both directly (through Parliamentary institutions and political representatives) and indirectly through the mass media. Policy actors were acutely aware of mass media's importance in shaping public opinion and used it tactically to influence policy. They often framed messages in subtly different ways, depending on target audiences. In general, newspapers presented the policy debate in a “balanced” way, but this arguably over-represented hostile perspective and suggested greater disagreement around the evidence base than is the case. Conclusions: The roles of policy actors vary between public and policy spheres, and how messages are communicated in policy debates depends on perceived strategic advantage. PMID:26045639
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Yao, Jincao; Yu, Huimin; Hu, Roland
2017-01-01
This paper introduces a new implicit-kernel-sparse-shape-representation-based object segmentation framework. Given an input object whose shape is similar to some of the elements in the training set, the proposed model can automatically find a cluster of implicit kernel sparse neighbors to approximately represent the input shape and guide the segmentation. A distance-constrained probabilistic definition together with a dualization energy term is developed to connect high-level shape representation and low-level image information. We theoretically prove that our model not only derives from two projected convex sets but is also equivalent to a sparse-reconstruction-error-based representation in the Hilbert space. Finally, a "wake-sleep"-based segmentation framework is applied to drive the evolutionary curve to recover the original shape of the object. We test our model on two public datasets. Numerical experiments on both synthetic images and real applications show the superior capabilities of the proposed framework.
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ERIC Educational Resources Information Center
Sanya, Losira Nasirumbi; Sseguya, Haroon; Kyazze, Florence Birungi; Baguma, Yona; Kibwika, Paul
2018-01-01
Purpose: We examine the nature of networks through which new hybrid banana varieties (HBVs) in Uganda are developed, and how different actors engage in the technology development process. Design/methodology/approach: We collected the data through 20 key informant interviews and 5 focus group discussions with actors involved in the process. We…
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OpenARC: Extensible OpenACC Compiler Framework for Directive-Based Accelerator Programming Study
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lee, Seyong; Vetter, Jeffrey S
2014-01-01
Directive-based, accelerator programming models such as OpenACC have arisen as an alternative solution to program emerging Scalable Heterogeneous Computing (SHC) platforms. However, the increased complexity in the SHC systems incurs several challenges in terms of portability and productivity. This paper presents an open-sourced OpenACC compiler, called OpenARC, which serves as an extensible research framework to address those issues in the directive-based accelerator programming. This paper explains important design strategies and key compiler transformation techniques needed to implement the reference OpenACC compiler. Moreover, this paper demonstrates the efficacy of OpenARC as a research framework for directive-based programming study, by proposing andmore » implementing OpenACC extensions in the OpenARC framework to 1) support hybrid programming of the unified memory and separate memory and 2) exploit architecture-specific features in an abstract manner. Porting thirteen standard OpenACC programs and three extended OpenACC programs to CUDA GPUs shows that OpenARC performs similarly to a commercial OpenACC compiler, while it serves as a high-level research framework.« less
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Reusing models of actors and services in smart homecare to improve sustainability.
Walderhaug, Ståle; Stav, Erlend; Mikalsen, Marius
2008-01-01
Industrial countries are faced with a growing elderly population. Homecare systems with assistive smart house technology enable elderly to live independently at home. Development of such smart home care systems is complex and expensive and there is no common reference model that can facilitate service reuse. This paper proposes reusable actor and service models based on a model-driven development process where end user organizations and domain healthcare experts from four European countries have been involved. The models, specified using UML can be reused actively as assets in the system design and development process and can reduce development costs, and improve interoperability and sustainability of systems. The models are being evaluated in the European IST project MPOWER.
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Civil society and the negotiation of the Framework Convention on Tobacco Control
MAMUDU, H. M.
2008-01-01
Tobacco control civil society organisations mobilised to influence countries during the negotiation of the World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) between 1999 and 2003. Tobacco control civil society organisations and coalitions around the world embraced the idea of an international tobacco control treaty and came together as the Framework Convention Alliance (FCA), becoming an important non-state actor within the international system of tobacco control. Archival documents and interviews demonstrate that the FCA successfully used strategies including publication of a newsletter, shaming, symbolism and media advocacy to influence policy positions of countries during the FCTC negotiation. The FCA became influential in the negotiation process by mobilising tobacco control civil society organisations and resources with the help of the Internet and framing the tobacco control discussion around global public health. PMID:19333806
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Unified framework for information integration based on information geometry
Oizumi, Masafumi; Amari, Shun-ichi
2016-01-01
Assessment of causal influences is a ubiquitous and important subject across diverse research fields. Drawn from consciousness studies, integrated information is a measure that defines integration as the degree of causal influences among elements. Whereas pairwise causal influences between elements can be quantified with existing methods, quantifying multiple influences among many elements poses two major mathematical difficulties. First, overestimation occurs due to interdependence among influences if each influence is separately quantified in a part-based manner and then simply summed over. Second, it is difficult to isolate causal influences while avoiding noncausal confounding influences. To resolve these difficulties, we propose a theoretical framework based on information geometry for the quantification of multiple causal influences with a holistic approach. We derive a measure of integrated information, which is geometrically interpreted as the divergence between the actual probability distribution of a system and an approximated probability distribution where causal influences among elements are statistically disconnected. This framework provides intuitive geometric interpretations harmonizing various information theoretic measures in a unified manner, including mutual information, transfer entropy, stochastic interaction, and integrated information, each of which is characterized by how causal influences are disconnected. In addition to the mathematical assessment of consciousness, our framework should help to analyze causal relationships in complex systems in a complete and hierarchical manner. PMID:27930289
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Shadel, William G; Fryer, Craig S; Tharp-Taylor, Shannah
2009-05-01
This study examined whether the appeal of actors (i.e., their likeability and attractiveness) used in antismoking public service announcements (PSAs) interacts with adolescents' risk of future smoking to predict adolescents' smoking resistance self-efficacy and whether the antismoking messages in the PSAs further moderate this relationship. We used a 2 (future smoking risk: low, high) x 2 (actor appeal: low, high) x 3 (PSA antismoking message: tobacco industry manipulation, short-term smoking effects, long-term smoking effects) study design. A diverse sample of 110 adolescents (aged 11-17 years), with varying levels of experience with smoking, rated their smoking resistance self-efficacy after viewing each of the PSAs in each design cell. Overall, PSAs that used long-term smoking effects messages were associated with the strongest smoking resistance self-efficacy, followed in turn by PSAs that used short-term smoking effects messages and by tobacco industry manipulation messages. We found a significant interaction of actor appeal and PSA antismoking message. The use of more appealing actors was associated with stronger smoking resistance self-efficacy only in long-term smoking effects PSAs. The use of less appealing actors was associated with stronger smoking resistance self-efficacy for tobacco industry manipulation PSAs and short-term smoking effects PSAs. Future smoking risk did not moderate any of these findings. Antismoking PSAs that emphasize long-term smoking effects are most strongly associated with increased smoking resistance self-efficacy. The effect of these PSAs can be strengthened by using actors whom adolescents perceive to be appealing.
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Fryer, Craig S.; Tharp-Taylor, Shannah
2009-01-01
Introduction: This study examined whether the appeal of actors (i.e., their likeability and attractiveness) used in antismoking public service announcements (PSAs) interacts with adolescents’ risk of future smoking to predict adolescents’ smoking resistance self-efficacy and whether the antismoking messages in the PSAs further moderate this relationship. Methods: We used a 2 (future smoking risk: low, high) × 2 (actor appeal: low, high) × 3 (PSA antismoking message: tobacco industry manipulation, short-term smoking effects, long-term smoking effects) study design. A diverse sample of 110 adolescents (aged 11–17 years), with varying levels of experience with smoking, rated their smoking resistance self-efficacy after viewing each of the PSAs in each design cell. Results: Overall, PSAs that used long-term smoking effects messages were associated with the strongest smoking resistance self-efficacy, followed in turn by PSAs that used short-term smoking effects messages and by tobacco industry manipulation messages. We found a significant interaction of actor appeal and PSA antismoking message. The use of more appealing actors was associated with stronger smoking resistance self-efficacy only in long-term smoking effects PSAs. The use of less appealing actors was associated with stronger smoking resistance self-efficacy for tobacco industry manipulation PSAs and short-term smoking effects PSAs. Future smoking risk did not moderate any of these findings. Discussion: Antismoking PSAs that emphasize long-term smoking effects are most strongly associated with increased smoking resistance self-efficacy. The effect of these PSAs can be strengthened by using actors whom adolescents perceive to be appealing. PMID:19372574
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Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits.
Takerkart, Sylvain; Auzias, Guillaume; Brun, Lucile; Coulon, Olivier
2017-01-01
Studying the topography of the cortex has proved valuable in order to characterize populations of subjects. In particular, the recent interest towards the deepest parts of the cortical sulci - the so-called sulcal pits - has opened new avenues in that regard. In this paper, we introduce the first fully automatic brain morphometry method based on the study of the spatial organization of sulcal pits - Structural Graph-Based Morphometry (SGBM). Our framework uses attributed graphs to model local patterns of sulcal pits, and further relies on three original contributions. First, a graph kernel is defined to provide a new similarity measure between pit-graphs, with few parameters that can be efficiently estimated from the data. Secondly, we present the first searchlight scheme dedicated to brain morphometry, yielding dense information maps covering the full cortical surface. Finally, a multi-scale inference strategy is designed to jointly analyze the searchlight information maps obtained at different spatial scales. We demonstrate the effectiveness of our framework by studying gender differences and cortical asymmetries: we show that SGBM can both localize informative regions and estimate their spatial scales, while providing results which are consistent with the literature. Thanks to the modular design of our kernel and the vast array of available kernel methods, SGBM can easily be extended to include a more detailed description of the sulcal patterns and solve different statistical problems. Therefore, we suggest that our SGBM framework should be useful for both reaching a better understanding of the normal brain and defining imaging biomarkers in clinical settings. Copyright © 2016 Elsevier B.V. All rights reserved.
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KODAMA and VPC based Framework for Ubiquitous Systems and its Experiment
NASA Astrophysics Data System (ADS)
Takahashi, Kenichi; Amamiya, Satoshi; Iwao, Tadashige; Zhong, Guoqiang; Kainuma, Tatsuya; Amamiya, Makoto
Recently, agent technologies have attracted a lot of interest as an emerging programming paradigm. With such agent technologies, services are provided through collaboration among agents. At the same time, the spread of mobile technologies and communication infrastructures has made it possible to access the network anytime and from anywhere. Using agents and mobile technologies to realize ubiquitous computing systems, we propose a new framework based on KODAMA and VPC. KODAMA provides distributed management mechanisms by using the concept of community and communication infrastructure to deliver messages among agents without agents being aware of the physical network. VPC provides a method of defining peer-to-peer services based on agent communication with policy packages. By merging the characteristics of both KODAMA and VPC functions, we propose a new framework for ubiquitous computing environments. It provides distributed management functions according to the concept of agent communities, agent communications which are abstracted from the physical environment, and agent collaboration with policy packages. Using our new framework, we conducted a large-scale experiment in shopping malls in Nagoya, which sent advertisement e-mails to users' cellular phones according to user location and attributes. The empirical results showed that our new framework worked effectively for sales in shopping malls.
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Integrating UIMA annotators in a web-based text processing framework.
Chen, Xiang; Arnold, Corey W
2013-01-01
The Unstructured Information Management Architecture (UIMA) [1] framework is a growing platform for natural language processing (NLP) applications. However, such applications may be difficult for non-technical users deploy. This project presents a web-based framework that wraps UIMA-based annotator systems into a graphical user interface for researchers and clinicians, and a web service for developers. An annotator that extracts data elements from lung cancer radiology reports is presented to illustrate the use of the system. Annotation results from the web system can be exported to multiple formats for users to utilize in other aspects of their research and workflow. This project demonstrates the benefits of a lay-user interface for complex NLP applications. Efforts such as this can lead to increased interest and support for NLP work in the clinical domain.
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Krabbenborg, Lotte
2016-06-01
Engaging civil society actors as knowledgeable dialogue partners in the development and governance of emerging technologies is a new challenge. The starting point of this paper is the observation that the design and orchestration of current organized interaction events shows limitations, particularly in the articulation of issues and in learning how to address the indeterminacies that go with emerging technologies. This paper uses Dewey's notion of 'publics' and 'reflective inquiry' to outline ways of doing better and to develop requirements for a more productive involvement of civil society actors. By studying four novel spaces for interaction in the domain of nanotechnology, this paper examines whether and how elements of Dewey's thought are visible and under what conditions. One of the main findings is that, in our society, special efforts are needed in order for technology developers and civil society actors to engage in a joint inquiry on emerging nanotechnology. Third persons, like social scientists and philosophers, play a role in this respect in addition to external input such as empirically informed scenarios and somewhat protected spaces.
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NASA Astrophysics Data System (ADS)
Fox, P. A.; Diviacco, P.; Busato, A.
2016-12-01
Geo-scientific research collaboration commonly faces of complex systems where multiple skills and competences are needed at the same time. Efficacy of such collaboration among researchers then becomes of paramount importance. Multidisciplinary studies draw from domains that are far from each other. Researchers also need to understand: how to extract what data they need and eventually produce something that can be used by others. The management of information and knowledge in this perspective is non-trivial. Interoperability is frequently sought in computer-to-computer environements, so-as to overcome mismatches in vocabulary, data formats, coordinate reference system and so on. Successful researcher collaboration also relies on interoperability of the people! Smaller, synchronous and face-to-face settings for researchers are knownn to enhance people interoperability. However changing settings; either geographically; temporally; or with increasing the team size, diversity, and expertise requires people-computer-people-computer (...) interoperability. To date, knowledge representation framework have been proposed but not proven as necessary and sufficient to achieve multi-way interoperability. In this contribution, we address epistemology and sociology of science advocating for a fluid perspective where science is mostly a social construct, conditioned by cognitive issues; especially cognitive bias. Bias cannot be obliterated. On the contrary it must be carefully taken into consideration. Information-centric interfaces built from different perspectives and ways of thinking by actors with different point of views, approaches and aims, are proposed as a means for enhancing people interoperability in computer-based settings. The contribution will provide details on the approach of augmenting and interfacing to knowledge representation frameworks to the cognitive-conceptual frameworks for people that are needed to meet and exceed collaborative research goals in the 21st
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Framework for Design of Traceability System on Organic Rice Certification
NASA Astrophysics Data System (ADS)
Purwandoko, P. B.; Seminar, K. B.; Sutrisno; Sugiyanta
2018-05-01
Nowadays, the preferences of organic products such as organic rice have been increased. It because of the people awareness of the healthy and eco-friendly food product consumption has grown. Therefore, it is very important to ensure organic quality of the product that will be produced. Certification is a series of process that holds to ensure the quality of products meets all criteria of organic standards. Currently, there is a problem that traceability information system for organic rice certification has been not available. The current system still conducts manually caused the loss of information during storage process. This paper aimed at developing a traceability framework on organic rice certification process. First, the main discussed issues are organic certification process. Second, unified modeling language (UML) is used to build the model of user requirement in order to develop traceability system for all actors in the certification process. Furthermore, the information captured model along certification process will be explained in this paper. The model shows the information flow that has to be recorded for each actor. Finally, the challenges in the implementation system will be discussed in this paper.
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CoP Sensing Framework on Web-Based Environment
NASA Astrophysics Data System (ADS)
Mustapha, S. M. F. D. Syed
The Web technologies and Web applications have shown similar high growth rate in terms of daily usages and user acceptance. The Web applications have not only penetrated in the traditional domains such as education and business but have also encroached into areas such as politics, social, lifestyle, and culture. The emergence of Web technologies has enabled Web access even to the person on the move through PDAs or mobile phones that are connected using Wi-Fi, HSDPA, or other communication protocols. These two phenomena are the inducement factors toward the need of building Web-based systems as the supporting tools in fulfilling many mundane activities. In doing this, one of the many focuses in research has been to look at the implementation challenges in building Web-based support systems in different types of environment. This chapter describes the implementation issues in building the community learning framework that can be supported on the Web-based platform. The Community of Practice (CoP) has been chosen as the community learning theory to be the case study and analysis as it challenges the creativity of the architectural design of the Web system in order to capture the presence of learning activities. The details of this chapter describe the characteristics of the CoP to understand the inherent intricacies in modeling in the Web-based environment, the evidences of CoP that need to be traced automatically in a slick manner such that the evidence-capturing process is unobtrusive, and the technologies needed to embrace a full adoption of Web-based support system for the community learning framework.
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Toward a More Flexible Web-Based Framework for Multidisciplinary Design
NASA Technical Reports Server (NTRS)
Rogers, J. L.; Salas, A. O.
1999-01-01
In today's competitive environment, both industry and government agencies are under pressure to reduce the time and cost of multidisciplinary design projects. New tools have been introduced to assist in this process by facilitating the integration of and communication among diverse disciplinary codes. One such tool, a framework for multidisciplinary design, is defined as a hardware-software architecture that enables integration, execution, and communication among diverse disciplinary processes. An examination of current frameworks reveals weaknesses in various areas, such as sequencing, monitoring, controlling, and displaying the design process. The objective of this research is to explore how Web technology can improve these areas of weakness and lead toward a more flexible framework. This article describes a Web-based system that optimizes and controls the execution sequence of design processes in addition to monitoring the project status and displaying the design results.
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Actors: A Model of Concurrent Computation in Distributed Systems.
1985-06-01
Artificial Intelligence Labora- tory of the Massachusetts Institute of Technology. Support for the labora- tory’s aritificial intelligence research is...RD-A157 917 ACTORS: A MODEL OF CONCURRENT COMPUTATION IN 1/3- DISTRIBUTED SYTEMS(U) MASSACHUSETTS INST OF TECH CRMBRIDGE ARTIFICIAL INTELLIGENCE ...Computation In Distributed Systems Gui A. Aghai MIT Artificial Intelligence Laboratory Thsdocument ha. been cipp-oved I= pblicrelease and sale; itsI
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ERIC Educational Resources Information Center
Caniglia, Guido; John, Beatrice; Kohler, Martin; Bellina, Leonie; Wiek, Arnim; Rojas, Christopher; Laubichler, Manfred D.; Lang, Daniel
2016-01-01
Purpose: This paper aims to present an experience-based learning framework that provides a bottom-up, student-centered entrance point for the development of systems thinking, normative and collaborative competencies in sustainability. Design/methodology/approach: The framework combines mental mapping with exploratory walking. It interweaves…
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The drinking water disparities framework: on the origins and persistence of inequities in exposure.
Balazs, Carolina L; Ray, Isha
2014-04-01
With this article, we develop the Drinking Water Disparities Framework to explain environmental injustice in the context of drinking water in the United States. The framework builds on the social epidemiology and environmental justice literatures, and is populated with 5 years of field data (2005-2010) from California's San Joaquin Valley. We trace the mechanisms through which natural, built, and sociopolitical factors work through state, county, community, and household actors to constrain access to safe water and to financial resources for communities. These constraints and regulatory failures produce social disparities in exposure to drinking water contaminants. Water system and household coping capacities lead, at best, to partial protection against exposure. This composite burden explains the origins and persistence of social disparities in exposure to drinking water contaminants.
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Actor Networks and the Division of Knowledge in the University.
ERIC Educational Resources Information Center
Busch, Lawrence
This paper discusses the current division of knowledge at the college and university level, its historical roots, and the application of Actor Network Theory (ANT) to arrive at an explanation of the permanence of the current division of knowledge as well as what form a new division of knowledge might take. It finds fragmentation and disintegration…
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Macro-actor execution on multilevel data-driven architectures
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gaudiot, J.L.; Najjar, W.
1988-12-31
The data-flow model of computation brings to multiprocessors high programmability at the expense of increased overhead. Applying the model at a higher level leads to better performance but also introduces loss of parallelism. We demonstrate here syntax directed program decomposition methods for the creation of large macro-actors in numerical algorithms. In order to alleviate some of the problems introduced by the lower resolution interpretation, we describe a multi-level of resolution and analyze the requirements for its actual hardware and software integration.
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A Framework for Simulating Turbine-Based Combined-Cycle Inlet Mode-Transition
NASA Technical Reports Server (NTRS)
Le, Dzu K.; Vrnak, Daniel R.; Slater, John W.; Hessel, Emil O.
2012-01-01
A simulation framework based on the Memory-Mapped-Files technique was created to operate multiple numerical processes in locked time-steps and send I/O data synchronously across to one-another to simulate system-dynamics. This simulation scheme is currently used to study the complex interactions between inlet flow-dynamics, variable-geometry actuation mechanisms, and flow-controls in the transition from the supersonic to hypersonic conditions and vice-versa. A study of Mode-Transition Control for a high-speed inlet wind-tunnel model with this MMF-based framework is presented to illustrate this scheme and demonstrate its usefulness in simulating supersonic and hypersonic inlet dynamics and controls or other types of complex systems.
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Morgan, Rosemary; Green, Andrew; Boesten, Jelke
2014-05-01
Faith-based organizations (FBOs) have a long tradition of providing HIV/AIDS prevention and mitigation services in Africa. The overall response of FBOs, however, has been controversial, particularly in regard to HIV/AIDS prevention and FBO's rejection of condom use and promotion, which can conflict with and negatively influence national HIV/AIDS prevention response efforts. This article reports the findings from a study that explored the factors influencing the HIV/AIDS prevention policy process within faith-based non-governmental organizations (NGOs) of different faiths. These factors were examined within three faith-based NGOs in Dar es Salaam, Tanzania-a Catholic, Anglican and Muslim organization. The research used an exploratory, qualitative case-study approach, and employed a health policy analysis framework, examining the context, actor and process factors and how they interact to form content in terms of policy and its implementation within each organization. Three key factors were found to influence faith-based NGOs' HIV/AIDS prevention response in terms of both policy and its implementation: (1) the faith structure in which the organizations are a part, (2) the presence or absence of organizational policy and (3) the professional nature of the organizations and its actors. The interaction between these factors, and how actors negotiate between them, was found to shape the organizations' HIV/AIDS prevention response. This article reports on these factors and analyses the different HIV/AIDS prevention responses found within each organization. By understanding the factors that influence faith-based NGOs' HIV/AIDS prevention policy process, the overall faith-based response to HIV/AIDS, and how it corresponds to national response efforts, is better understood. It is hoped that by doing so the government will be better able to identify how to best work with FBOs to meet national HIV/AIDS prevention targets, improving the overall role of FBOs in the fight against
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de Oliveira, Saionara Nunes; do Prado, Marta Lenise; Kempfer, Silvana Silveira; Martini, Jussara Gue; Caravaca-Morera, Jaime Alonso; Bernardi, Mariely Carmelina
2015-02-01
This was an action research study conducted during an undergraduate nursing course. The objective was to propose and implement experiential learning for nursing consultation education using clinical simulation with actors. The 4 steps of action research were followed: planning, action, observation and reflection. Three nursing undergraduate students participated in the study. Data were collected in May and July 2013 via participant comments and interviews and were analyzed in accordance with the operative proposal for qualitative data analysis. Planning included constructing and validating the clinical guides, selecting and training the actors, organizing and preparing the scenario and the issuing invitations to the participants. The action was carried out according to Kolb's (1984) 4 stages of learning cycles: Concrete Experience, Reflective Observation, Abstract Conceptualization and Active Experimentation. Clinical simulation involves different subjects' participation in all stages, and action research is a method that enables the clinical stimulation to be implemented. It must be guided by clear learning objectives and by a critical pedagogy that encourages critical thinking in students. Using actors and a real scenario facilitated psychological fidelity, and debriefing was the key moment of the reflective process that facilitated the integral training of students through experiential learning. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Mbachu, Chinyere O; Onwujekwe, Obinna; Chikezie, Ifeanyi; Ezumah, Nkoli; Das, Mahua; Uzochukwu, Benjamin S C
2016-04-12
Evidence-informed policymaking has been promoted as a means of ensuring better outcomes. However, what counts as evidence in policymaking lies within a spectrum of expert knowledge and scientifically generated information. Since not all forms of evidence share an equal validity or weighting for policymakers, it is important to understand the key factors that influence their preferences for different types of evidence in policy and strategy development. A retrospective study was carried out at the national level in Nigeria using a case-study approach to examine the Nigerian Integrated Maternal Newborn and Child Health (IMNCH) strategy. Two frameworks were used for conceptualization and data analysis, namely (1) to analyse the role of evidence in policymaking and (2) the policy triangle. They were used to explore the key contextual and participatory influences on choice of evidence in developing the IMNCH strategy. Data was collected through review of relevant national documents and in-depth interviews of purposively selected key policy and strategic decision makers. Thematic analysis was applied to generate information from collected data. The breadth of evidence used was wide, ranging from expert opinions to systematic reviews. The choice of different types of evidence was found to overlap across actor categories. Key influences over actors' choice of evidence were: (1) perceived robustness of evidence - comprehensive, representative, recent, scientifically sound; (2) roles in evidence process, i.e. their degree and level of participation in evidence generation and dissemination, with regards to their role in the policy process; and (3) contextual factors such as global agenda and influence, timeline for strategy development, availability of resources for evidence generation, and lessons learnt from previous unsuccessful policies/plans. Actors' preferences for different types of evidence for policy are influenced not only by the characteristics of evidence itself
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An optimization-based framework for anisotropic simplex mesh adaptation
NASA Astrophysics Data System (ADS)
Yano, Masayuki; Darmofal, David L.
2012-09-01
We present a general framework for anisotropic h-adaptation of simplex meshes. Given a discretization and any element-wise, localizable error estimate, our adaptive method iterates toward a mesh that minimizes error for a given degrees of freedom. Utilizing mesh-metric duality, we consider a continuous optimization problem of the Riemannian metric tensor field that provides an anisotropic description of element sizes. First, our method performs a series of local solves to survey the behavior of the local error function. This information is then synthesized using an affine-invariant tensor manipulation framework to reconstruct an approximate gradient of the error function with respect to the metric tensor field. Finally, we perform gradient descent in the metric space to drive the mesh toward optimality. The method is first demonstrated to produce optimal anisotropic meshes minimizing the L2 projection error for a pair of canonical problems containing a singularity and a singular perturbation. The effectiveness of the framework is then demonstrated in the context of output-based adaptation for the advection-diffusion equation using a high-order discontinuous Galerkin discretization and the dual-weighted residual (DWR) error estimate. The method presented provides a unified framework for optimizing both the element size and anisotropy distribution using an a posteriori error estimate and enables efficient adaptation of anisotropic simplex meshes for high-order discretizations.
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A flexible framework for process-based hydraulic and water ...
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, GI model predictions are being relied upon by many municipalities and State/Local agencies to make decisions about grey vs. green infrastructure improvement planning. Adding complexity to GI modeling frameworks may preclude their use in simpler urban planning situations. Therefore, the goal here was to develop a sophisticated, yet flexible tool that could be used by design engineers and researchers to capture and explore the effect of design factors and properties of the media used in the performance of GI systems at a relatively small scale. We deemed it essential to have a flexible GI modeling tool that is capable of simulating GI system components and specific biophysical processes affecting contaminants such as reactions, and particle-associated transport accurately while maintaining a high degree of flexibly to account for the myriad of GI alternatives. The mathematical framework for a stand-alone GI performance assessment tool has been developed and will be demonstrated.Framework Features The process-based model framework developed here can be used to model a diverse range of GI practices such as green roof, retention pond, bioretention, infiltration trench, permeable pavement and
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Understanding Health Information Seeking from an Actor-Centric Perspective
Batchelor, Simon; Waldman, Linda; Bloom, Gerry; Rasheed, Sabrina; Scott, Nigel; Ahmed, Tanvir; Uz Zaman Khan, Nazib; Sharmin, Tamanna
2015-01-01
This paper presents a conceptual approach for discussing health information seeking among poor households in Africa and Asia. This approach is part of a larger research endeavor aimed at understanding how health systems are adapting; with possibilities and constraints emerging. These health systems can be found in a context of the changing relationships between states, markets and civil society in low and middle income countries. The paper starts from an understanding of the health sector as a “health knowledge economy”, organized to provide people with access to knowledge and advice. The use of the term “health knowledge economy” draws attention to the ways the health sector is part of a broader knowledge economy changing the way individuals and households obtain and use specialist information. The paper integrates an actor centric approach with the theory of planned behavior. It seeks to identify the actors engaged in the health knowledge economy as a precursor to longer term studies on the uptake of innovations integrating health services with mobile phones, commonly designated as mHealth, contributing to an understanding of the potential vulnerabilities of poor people, and highlighting possible dangers if providers of health information and advice are strongly influenced by interest groups. PMID:26184275
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A Semantics-Based Information Distribution Framework for Large Web-Based Course Forum System
ERIC Educational Resources Information Center
Chim, Hung; Deng, Xiaotie
2008-01-01
We propose a novel data distribution framework for developing a large Web-based course forum system. In the distributed architectural design, each forum server is fully equipped with the ability to support some course forums independently. The forum servers collaborating with each other constitute the whole forum system. Therefore, the workload of…
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Edgar Buchanan: dentist and popular character actor in movies and television.
Christen, A G; Christen, J A
2001-07-01
Edgar Buchanan, D.D.S., pursued a diverse mix of careers during his lifetime: as he practiced dentistry, he also worked as a popular film and television actor. Although he eventually relinquished a full-time dental practice for acting, he continued his commitment to clinical dentistry. Acting in 100 films and four television series across a 35-year span (1939-1975). He personified a scheming, yet well-meaning rustic who specialized in "cracker-barrel" philosophy. Typically, he was cast in classic western movies as a bewhiskered character actor. In several films he played a frontier dentist who was always portrayed in a sympathetic and authentic manner. His unique gravelly voice, subtle facial expressions, folksy mannerisms and portly build enabled Buchanan to step into a wide variety of character roles. His most memorable television role was in the classic situation comedy, "Petticoat Junction," (1963-1970), where he played Uncle Joe, a folksy, lovable, free-loader whose many entertaining schemes created chaos.
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A stochastic hybrid systems based framework for modeling dependent failure processes
Fan, Mengfei; Zeng, Zhiguo; Zio, Enrico; Kang, Rui; Chen, Ying
2017-01-01
In this paper, we develop a framework to model and analyze systems that are subject to dependent, competing degradation processes and random shocks. The degradation processes are described by stochastic differential equations, whereas transitions between the system discrete states are triggered by random shocks. The modeling is, then, based on Stochastic Hybrid Systems (SHS), whose state space is comprised of a continuous state determined by stochastic differential equations and a discrete state driven by stochastic transitions and reset maps. A set of differential equations are derived to characterize the conditional moments of the state variables. System reliability and its lower bounds are estimated from these conditional moments, using the First Order Second Moment (FOSM) method and Markov inequality, respectively. The developed framework is applied to model three dependent failure processes from literature and a comparison is made to Monte Carlo simulations. The results demonstrate that the developed framework is able to yield an accurate estimation of reliability with less computational costs compared to traditional Monte Carlo-based methods. PMID:28231313
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A stochastic hybrid systems based framework for modeling dependent failure processes.
Fan, Mengfei; Zeng, Zhiguo; Zio, Enrico; Kang, Rui; Chen, Ying
2017-01-01
In this paper, we develop a framework to model and analyze systems that are subject to dependent, competing degradation processes and random shocks. The degradation processes are described by stochastic differential equations, whereas transitions between the system discrete states are triggered by random shocks. The modeling is, then, based on Stochastic Hybrid Systems (SHS), whose state space is comprised of a continuous state determined by stochastic differential equations and a discrete state driven by stochastic transitions and reset maps. A set of differential equations are derived to characterize the conditional moments of the state variables. System reliability and its lower bounds are estimated from these conditional moments, using the First Order Second Moment (FOSM) method and Markov inequality, respectively. The developed framework is applied to model three dependent failure processes from literature and a comparison is made to Monte Carlo simulations. The results demonstrate that the developed framework is able to yield an accurate estimation of reliability with less computational costs compared to traditional Monte Carlo-based methods.
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A framework for grouping nanoparticles based on their measurable characteristics.
Sayes, Christie M; Smith, P Alex; Ivanov, Ivan V
2013-01-01
There is a need to take a broader look at nanotoxicological studies. Eventually, the field will demand that some generalizations be made. To begin to address this issue, we posed a question: are metal colloids on the nanometer-size scale a homogeneous group? In general, most people can agree that the physicochemical properties of nanomaterials can be linked and related to their induced toxicological responses. The focus of this study was to determine how a set of selected physicochemical properties of five specific metal-based colloidal materials on the nanometer-size scale - silver, copper, nickel, iron, and zinc - could be used as nanodescriptors that facilitate the grouping of these metal-based colloids. The example of the framework pipeline processing provided in this paper shows the utility of specific statistical and pattern recognition techniques in grouping nanoparticles based on experimental data about their physicochemical properties. Interestingly, the results of the analyses suggest that a seemingly homogeneous group of nanoparticles could be separated into sub-groups depending on interdependencies observed in their nanodescriptors. These particles represent an important category of nanomaterials that are currently mass produced. Each has been reputed to induce toxicological and/or cytotoxicological effects. Here, we propose an experimental methodology coupled with mathematical and statistical modeling that can serve as a prototype for a rigorous framework that aids in the ability to group nanomaterials together and to facilitate the subsequent analysis of trends in data based on quantitative modeling of nanoparticle-specific structure-activity relationships. The computational part of the proposed framework is rather general and can be applied to other groups of nanomaterials as well.
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Global health governance as shared health governance.
Ruger, Jennifer Prah
2012-07-01
With the exception of key 'proven successes' in global health, the current regime of global health governance can be understood as transnational and national actors pursuing their own interests under a rational actor model of international cooperation, which fails to provide sufficient justification for an obligation to assist in meeting the health needs of others. An ethical commitment to providing all with the ability to be healthy is required. This article develops select components of an alternative model of shared health governance (SHG), which aims to provide a 'road map,' 'focal points' and 'the glue' among various global health actors to better effectuate cooperation on universal ethical principles for an alternative global health equilibrium. Key features of SHG include public moral norms as shared authoritative standards; ethical commitments, shared goals and role allocation; shared sovereignty and constitutional commitments; legitimacy and accountability; country-level attention to international health relations. A framework of social agreement based on 'overlapping consensus' is contrasted against one based on self-interested political bargaining. A global health constitution delineating duties and obligations of global health actors and a global institute of health and medicine for holding actors responsible are proposed. Indicators for empirical assessment of select SHG principles are described. Global health actors, including states, must work together to correct and avert global health injustices through a framework of SHG based on shared ethical commitments.
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ASaiM: a Galaxy-based framework to analyze microbiota data.
Batut, Bérénice; Gravouil, Kévin; Defois, Clémence; Hiltemann, Saskia; Brugère, Jean-François; Peyretaillade, Eric; Peyret, Pierre
2018-05-22
New generations of sequencing platforms coupled to numerous bioinformatics tools has led to rapid technological progress in metagenomics and metatranscriptomics to investigate complex microorganism communities. Nevertheless, a combination of different bioinformatic tools remains necessary to draw conclusions out of microbiota studies. Modular and user-friendly tools would greatly improve such studies. We therefore developed ASaiM, an Open-Source Galaxy-based framework dedicated to microbiota data analyses. ASaiM provides an extensive collection of tools to assemble, extract, explore and visualize microbiota information from raw metataxonomic, metagenomic or metatranscriptomic sequences. To guide the analyses, several customizable workflows are included and are supported by tutorials and Galaxy interactive tours, which guide users through the analyses step by step. ASaiM is implemented as a Galaxy Docker flavour. It is scalable to thousands of datasets, but also can be used on a normal PC. The associated source code is available under Apache 2 license at https://github.com/ASaiM/framework and documentation can be found online (http://asaim.readthedocs.io). Based on the Galaxy framework, ASaiM offers a sophisticated environment with a variety of tools, workflows, documentation and training to scientists working on complex microorganism communities. It makes analysis and exploration analyses of microbiota data easy, quick, transparent, reproducible and shareable.
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A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI
NASA Astrophysics Data System (ADS)
Yu, Ning; Wu, Jia; Weinstein, Susan P.; Gaonkar, Bilwaj; Keller, Brad M.; Ashraf, Ahmed B.; Jiang, YunQing; Davatzikos, Christos; Conant, Emily F.; Kontos, Despina
2015-03-01
Accurate and efficient automated tumor segmentation in breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is highly desirable for computer-aided tumor diagnosis. We propose a novel automatic segmentation framework which incorporates mean-shift smoothing, superpixel-wise classification, pixel-wise graph-cuts partitioning, and morphological refinement. A set of 15 breast DCE-MR images, obtained from the American College of Radiology Imaging Network (ACRIN) 6657 I-SPY trial, were manually segmented to generate tumor masks (as ground truth) and breast masks (as regions of interest). Four state-of-the-art segmentation approaches based on diverse models were also utilized for comparison. Based on five standard evaluation metrics for segmentation, the proposed framework consistently outperformed all other approaches. The performance of the proposed framework was: 1) 0.83 for Dice similarity coefficient, 2) 0.96 for pixel-wise accuracy, 3) 0.72 for VOC score, 4) 0.79 mm for mean absolute difference, and 5) 11.71 mm for maximum Hausdorff distance, which surpassed the second best method (i.e., adaptive geodesic transformation), a semi-automatic algorithm depending on precise initialization. Our results suggest promising potential applications of our segmentation framework in assisting analysis of breast carcinomas.
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CREMA-D: Crowd-sourced Emotional Multimodal Actors Dataset
Cao, Houwei; Cooper, David G.; Keutmann, Michael K.; Gur, Ruben C.; Nenkova, Ani; Verma, Ragini
2014-01-01
People convey their emotional state in their face and voice. We present an audio-visual data set uniquely suited for the study of multi-modal emotion expression and perception. The data set consists of facial and vocal emotional expressions in sentences spoken in a range of basic emotional states (happy, sad, anger, fear, disgust, and neutral). 7,442 clips of 91 actors with diverse ethnic backgrounds were rated by multiple raters in three modalities: audio, visual, and audio-visual. Categorical emotion labels and real-value intensity values for the perceived emotion were collected using crowd-sourcing from 2,443 raters. The human recognition of intended emotion for the audio-only, visual-only, and audio-visual data are 40.9%, 58.2% and 63.6% respectively. Recognition rates are highest for neutral, followed by happy, anger, disgust, fear, and sad. Average intensity levels of emotion are rated highest for visual-only perception. The accurate recognition of disgust and fear requires simultaneous audio-visual cues, while anger and happiness can be well recognized based on evidence from a single modality. The large dataset we introduce can be used to probe other questions concerning the audio-visual perception of emotion. PMID:25653738
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Chromophore-Based Luminescent Metal–Organic Frameworks as Lighting Phosphors
Lustig, William P.; Wang, Fangming; Teat, Simon J.; ...
2016-05-31
Here, energy-efficient solid-state-lighting (SSL) technologies are rapidly developing, but the lack of stable, high-performance rare-earth free phosphors may impede the growth of the SSL market. One possible alternative is organic phosphor materials, but these can suffer from lower quantum yields and thermal instability compared to rare-earth phosphors. However, if luminescent organic chromophores can be built into a rigid metal-organic framework, their quantum yields and thermal stability can be greatly improved. This Forum Article discusses the design of a group of such chromophore-based luminescent metal-organic frameworks with exceptionally high performance and rational control of the important parameters that influence their emissionmore » properties, including electronic structures of chromophore, coligands, metal ions, and guest molecule s.« less
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Kaur, Gagan Deep
2017-05-01
The design process in Kashmiri carpet weaving is distributed over a number of actors and artifacts and is mediated by a weaving notation called talim. The script encodes entire design in practice-specific symbols. This encoded script is decoded and interpreted via design-specific conventions by weavers to weave the design embedded in it. The cognitive properties of this notational system are described in the paper employing cognitive dimensions (CDs) framework of Green (People and computers, Cambridge University Press, Cambridge, 1989) and Blackwell et al. (Cognitive technology: instruments of mind-CT 2001, LNAI 2117, Springer, Berlin, 2001). After introduction to the practice, the design process is described in 'The design process' section which includes coding and decoding of talim. In 'Cognitive dimensions of talim' section, after briefly discussing CDs framework, the specific cognitive dimensions possessed by talim are described in detail.
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A Decision Support Framework For Science-Based, Multi-Stakeholder Deliberation: A Coral Reef Example
We present a decision support framework for science-based assessment and multi-stakeholder deliberation. The framework consists of two parts: a DPSIR (Drivers-Pressures-States-Impacts-Responses) analysis to identify the important causal relationships among anthropogenic environ...
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A KPI-based process monitoring and fault detection framework for large-scale processes.
Zhang, Kai; Shardt, Yuri A W; Chen, Zhiwen; Yang, Xu; Ding, Steven X; Peng, Kaixiang
2017-05-01
Large-scale processes, consisting of multiple interconnected subprocesses, are commonly encountered in industrial systems, whose performance needs to be determined. A common approach to this problem is to use a key performance indicator (KPI)-based approach. However, the different KPI-based approaches are not developed with a coherent and consistent framework. Thus, this paper proposes a framework for KPI-based process monitoring and fault detection (PM-FD) for large-scale industrial processes, which considers the static and dynamic relationships between process and KPI variables. For the static case, a least squares-based approach is developed that provides an explicit link with least-squares regression, which gives better performance than partial least squares. For the dynamic case, using the kernel representation of each subprocess, an instrument variable is used to reduce the dynamic case to the static case. This framework is applied to the TE benchmark process and the hot strip mill rolling process. The results show that the proposed method can detect faults better than previous methods. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.
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An empirically based conceptual framework for fostering meaningful patient engagement in research.
Hamilton, Clayon B; Hoens, Alison M; Backman, Catherine L; McKinnon, Annette M; McQuitty, Shanon; English, Kelly; Li, Linda C
2018-02-01
Patient engagement in research (PEIR) is promoted to improve the relevance and quality of health research, but has little conceptualization derived from empirical data. To address this issue, we sought to develop an empirically based conceptual framework for meaningful PEIR founded on a patient perspective. We conducted a qualitative secondary analysis of in-depth interviews with 18 patient research partners from a research centre-affiliated patient advisory board. Data analysis involved three phases: identifying the themes, developing a framework and confirming the framework. We coded and organized the data, and abstracted, illustrated, described and explored the emergent themes using thematic analysis. Directed content analysis was conducted to derive concepts from 18 publications related to PEIR to supplement, confirm or refute, and extend the emergent conceptual framework. The framework was reviewed by four patient research partners on our research team. Participants' experiences of working with researchers were generally positive. Eight themes emerged: procedural requirements, convenience, contributions, support, team interaction, research environment, feel valued and benefits. These themes were interconnected and formed a conceptual framework to explain the phenomenon of meaningful PEIR from a patient perspective. This framework, the PEIR Framework, was endorsed by the patient research partners on our team. The PEIR Framework provides guidance on aspects of PEIR to address for meaningful PEIR. It could be particularly useful when patient-researcher partnerships are led by researchers with little experience of engaging patients in research. © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd.
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Jenkins, Emily K; Kothari, Anita; Bungay, Vicky; Johnson, Joy L; Oliffe, John L
2016-08-30
Much of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empirically-informed CollaboraKTion framework. A case study design and ethnographic methods were utilised to gain an in-depth understanding of the processes for conducting a community-based KT study as a means to distilling the CollaboraKTion framework. Drawing on extensive field notes describing fieldwork observations and interactions as well as evidence from the participatory research and KT literature, we detail the processes and steps undertaken in this community-based KT study as well as their rationale and the challenges encountered. In an effort to build upon existing knowledge, Kitson and colleagues' co-KT framework, which provides guidance for conducting KT aimed at addressing population-level health, was applied as a coding structure to inform the current analysis. This approach was selected because it (1) supported the application of an existing community-based KT framework to empirical data and (2) provided an opportunity to contribute to the theory and practice gaps in the community-based KT literature through an inductively derived empirical example. Analysis revealed that community-based KT is an iterative process that can be viewed as comprising five overarching processes: (1) contacting and connecting; (2) deepening understandings; (3) adapting and applying the knowledge base; (4) supporting and evaluating continued action; and (5) transitioning and embedding as well as several key elements within each of these processes (e.g. building on existing knowledge, establishing partnerships). These empirically informed theory advancements in KT and participatory research traditions are summarised in the CollaboraKTion framework. We suggest that community-based KT researchers place
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A random utility based estimation framework for the household activity pattern problem.
DOT National Transportation Integrated Search
2016-06-01
This paper develops a random utility based estimation framework for the Household Activity : Pattern Problem (HAPP). Based on the realization that output of complex activity-travel decisions : form a continuous pattern in space-time dimension, the es...
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NASA Astrophysics Data System (ADS)
Broman, Karolina; Bernholt, Sascha; Parchmann, Ilka
2015-05-01
Background:Context-based learning approaches are used to enhance students' interest in, and knowledge about, science. According to different empirical studies, students' interest is improved by applying these more non-conventional approaches, while effects on learning outcomes are less coherent. Hence, further insights are needed into the structure of context-based problems in comparison to traditional problems, and into students' problem-solving strategies. Therefore, a suitable framework is necessary, both for the analysis of tasks and strategies. Purpose:The aim of this paper is to explore traditional and context-based tasks as well as students' responses to exemplary tasks to identify a suitable framework for future design and analyses of context-based problems. The paper discusses different established frameworks and applies the Higher-Order Cognitive Skills/Lower-Order Cognitive Skills (HOCS/LOCS) taxonomy and the Model of Hierarchical Complexity in Chemistry (MHC-C) to analyse traditional tasks and students' responses. Sample:Upper secondary students (n=236) at the Natural Science Programme, i.e. possible future scientists, are investigated to explore learning outcomes when they solve chemistry tasks, both more conventional as well as context-based chemistry problems. Design and methods:A typical chemistry examination test has been analysed, first the test items in themselves (n=36), and thereafter 236 students' responses to one representative context-based problem. Content analysis using HOCS/LOCS and MHC-C frameworks has been applied to analyse both quantitative and qualitative data, allowing us to describe different problem-solving strategies. Results:The empirical results show that both frameworks are suitable to identify students' strategies, mainly focusing on recall of memorized facts when solving chemistry test items. Almost all test items were also assessing lower order thinking. The combination of frameworks with the chemistry syllabus has been
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Lehmann, Uta; Gilson, Lucy
2013-07-01
This paper makes a contribution to a much-neglected aspect of policy analysis: the practice of power in implementation. Practices of power are at the heart of every policy process, yet are rarely explicitly explored in the health policy literature. This paper provides a detailed study of micro-practices of power by those at the frontline of service delivery in the implementation of a national community health worker policy in one rural South African sub-district. The paper is based on a small-scale qualitative study which collected data through observations, interviews and focus group discussions with health services and facility managers, community health workers and community members. Practices of power were analysed using VeneKlasen and Miller's categorization of multiple dimensions of power, as power over, power with, power to and power within. Furthermore, the concept of 'actor interface analysis' allowed exploration of different actors' experience, interests and their specific location in the landscape of local health system governance. The study revealed that almost all policy actors exercised some form of power, from authoritative power, derived from hierarchy and budget control, to the discretionary power of those working at lower levels to withhold labour or organize in-service training. Each of these practices of power had their rationale in different actors' efforts to make the intervention 'fit' their understandings of local reality. While each had a limited impact on policy outcomes, their cumulative effect produced a significant thinning down of the policy's intent. However, discretionary power was not always used to undermine policy. One manager's use of discretionary power in fact led to a partial reconstruction of the original policy intent. The paper concludes that understanding and being responsive to the complexity of local realities, interests and contexts and the multi-layered practices of power may allow managers to adopt more appropriate
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A conceptual framework for the domain of evidence-based design.
Ulrich, Roger S; Berry, Leonard L; Quan, Xiaobo; Parish, Janet Turner
2010-01-01
The physical facilities in which healthcare services are performed play an important role in the healing process. Evidence-based design in healthcare is a developing field of study that holds great promise for benefiting key stakeholders: patients, families, physicians, and nurses, as well as other healthcare staff and organizations. In this paper, the authors present and discuss a conceptual framework intended to capture the current domain of evidence-based design in healthcare. In this framework, the built environment is represented by nine design variable categories: audio environment, visual environment, safety enhancement, wayfinding system, sustainability, patient room, family support spaces, staff support spaces, and physician support spaces. Furthermore, a series of matrices is presented that indicates knowledge gaps concerning the relationship between specific healthcare facility design variable categories and participant and organizational outcomes. From this analysis, the authors identify fertile research opportunities from the perspectives of key stakeholders.
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Beyond STS: A research-based framework for socioscientific issues education
NASA Astrophysics Data System (ADS)
Zeidler, Dana L.; Sadler, Troy D.; Simmons, Michael L.; Howes, Elaine V.
2005-05-01
An important distinction can be made between the science, technology, and society (STS) movement of past years and the domain of socioscientific issues (SSI). STS education as typically practiced does not seem embedded in a coherent developmental or sociological framework that explicitly considers the psychological and epistemological growth of the child, nor the development of character or virtue. In contrast, the SSI movement focuses on empowering students to consider how science-based issues reflect, in part, moral principles and elements of virtue that encompass their own lives, as well as the physical and social world around them. The focus of this paper is to describe a research-based framework of current research and practice that identifies factors associated with reasoning about socioscientific issues and provide a working model that illustrates theoretical and conceptual links among key psychological, sociological, and developmental factors central to SSI and science education.
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ERIC Educational Resources Information Center
Hargrave, Matt
2010-01-01
This article analyses Mind the Gap's Boo, a re-imagining of Harper Lee's "To Kill a Mockingbird", which features a cast of learning disabled actors. It is concerned with the public reception of the work, particularly the "effect" of an all-disabled cast. What are the consequences, both ethical and aesthetic, for these actors to tell this story on…
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A general science-based framework for dynamical spatio-temporal models
Wikle, C.K.; Hooten, M.B.
2010-01-01
Spatio-temporal statistical models are increasingly being used across a wide variety of scientific disciplines to describe and predict spatially-explicit processes that evolve over time. Correspondingly, in recent years there has been a significant amount of research on new statistical methodology for such models. Although descriptive models that approach the problem from the second-order (covariance) perspective are important, and innovative work is being done in this regard, many real-world processes are dynamic, and it can be more efficient in some cases to characterize the associated spatio-temporal dependence by the use of dynamical models. The chief challenge with the specification of such dynamical models has been related to the curse of dimensionality. Even in fairly simple linear, first-order Markovian, Gaussian error settings, statistical models are often over parameterized. Hierarchical models have proven invaluable in their ability to deal to some extent with this issue by allowing dependency among groups of parameters. In addition, this framework has allowed for the specification of science based parameterizations (and associated prior distributions) in which classes of deterministic dynamical models (e. g., partial differential equations (PDEs), integro-difference equations (IDEs), matrix models, and agent-based models) are used to guide specific parameterizations. Most of the focus for the application of such models in statistics has been in the linear case. The problems mentioned above with linear dynamic models are compounded in the case of nonlinear models. In this sense, the need for coherent and sensible model parameterizations is not only helpful, it is essential. Here, we present an overview of a framework for incorporating scientific information to motivate dynamical spatio-temporal models. First, we illustrate the methodology with the linear case. We then develop a general nonlinear spatio-temporal framework that we call general quadratic
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Agenda setting and framing of gender-based violence in Nepal: how it became a health issue
Colombini, Manuela; Mayhew, Susannah H; Hawkins, Ben; Bista, Meera; Joshi, Sunil Kumar; Schei, Berit; Watts, Charlotte
2016-01-01
Gender-based violence (GBV) has been addressed as a policy issue in Nepal since the mid 1990s, yet it was only in 2010 that Nepal developed a legal and policy framework to combat GBV. This article draws on the concepts of agenda setting and framing to analyse the historical processes by which GBV became legitimized as a health policy issue in Nepal and explored factors that facilitated and constrained the opening and closing of windows of opportunity. The results presented are based on a document analysis of the policy and regulatory framework around GBV in Nepal. A content analysis was undertaken. Agenda setting for GBV policies in Nepal evolved over many years and was characterized by the interplay of political context factors, actors and multiple frames. The way the issue was depicted at different times and by different actors played a key role in the delay in bringing health onto the policy agenda. Women’s groups and less powerful Ministries developed gender equity and development frames, but it was only when the more powerful human rights frame was promoted by the country’s new Constitution and the Office of the Prime Minister that legislation on GBV was achieved and a domestic violence bill was adopted, followed by a National Plan of Action. This eventually enabled the health frame to converge around the development of implementation policies that incorporated health service responses. Our explicit incorporation of framing within the Kindgon model has illustrated how important it is for understanding the emergence of policy issues, and the subsequent debates about their resolution. The framing of a policy problem by certain policy actors, affects the development of each of the three policy streams, and may facilitate or constrain their convergence. The concept of framing therefore lends an additional depth of understanding to the Kindgon agenda setting model. PMID:26412857
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Free-viewpoint video of human actors using multiple handheld Kinects.
Ye, Genzhi; Liu, Yebin; Deng, Yue; Hasler, Nils; Ji, Xiangyang; Dai, Qionghai; Theobalt, Christian
2013-10-01
We present an algorithm for creating free-viewpoint video of interacting humans using three handheld Kinect cameras. Our method reconstructs deforming surface geometry and temporal varying texture of humans through estimation of human poses and camera poses for every time step of the RGBZ video. Skeletal configurations and camera poses are found by solving a joint energy minimization problem, which optimizes the alignment of RGBZ data from all cameras, as well as the alignment of human shape templates to the Kinect data. The energy function is based on a combination of geometric correspondence finding, implicit scene segmentation, and correspondence finding using image features. Finally, texture recovery is achieved through jointly optimization on spatio-temporal RGB data using matrix completion. As opposed to previous methods, our algorithm succeeds on free-viewpoint video of human actors under general uncontrolled indoor scenes with potentially dynamic background, and it succeeds even if the cameras are moving.
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Song Perception by Professional Singers and Actors: An MEG Study
Rosslau, Ken; Herholz, Sibylle C.; Knief, Arne; Ortmann, Magdalene; Deuster, Dirk; Schmidt, Claus-Michael; Zehnhoff-Dinnesen, Antoinetteam; Pantev, Christo; Dobel, Christian
2016-01-01
The cortical correlates of speech and music perception are essentially overlapping, and the specific effects of different types of training on these networks remain unknown. We compared two groups of vocally trained professionals for music and speech, singers and actors, using recited and sung rhyme sequences from German art songs with semantic and/ or prosodic/melodic violations (i.e. violations of pitch) of the last word, in order to measure the evoked activation in a magnetoencephalographic (MEG) experiment. MEG data confirmed the existence of intertwined networks for the sung and spoken modality in an early time window after word violation. In essence for this early response, higher activity was measured after melodic/prosodic than semantic violations in predominantly right temporal areas. For singers as well as for actors, modality-specific effects were evident in predominantly left-temporal lateralized activity after semantic expectancy violations in the spoken modality, and right-dominant temporal activity in response to melodic violations in the sung modality. As an indication of a special group-dependent audiation process, higher neuronal activity for singers appeared in a late time window in right temporal and left parietal areas, both after the recited and the sung sequences. PMID:26863437
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Titanium-based zeolitic imidazolate framework for chemical fixation of carbon dioxide
A titanium-based zeolitic imidazolate framework (Ti-ZIF) with high surface area and porous morphology was synthesized and itsefficacy was demonstrated in the synthesis of cyclic carbonates from epoxides and carbon dioxide.
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Data-Driven Software Framework for Web-Based ISS Telescience
NASA Technical Reports Server (NTRS)
Tso, Kam S.
2005-01-01
Software that enables authorized users to monitor and control scientific payloads aboard the International Space Station (ISS) from diverse terrestrial locations equipped with Internet connections is undergoing development. This software reflects a data-driven approach to distributed operations. A Web-based software framework leverages prior developments in Java and Extensible Markup Language (XML) to create portable code and portable data, to which one can gain access via Web-browser software on almost any common computer. Open-source software is used extensively to minimize cost; the framework also accommodates enterprise-class server software to satisfy needs for high performance and security. To accommodate the diversity of ISS experiments and users, the framework emphasizes openness and extensibility. Users can take advantage of available viewer software to create their own client programs according to their particular preferences, and can upload these programs for custom processing of data, generation of views, and planning of experiments. The same software system, possibly augmented with a subset of data and additional software tools, could be used for public outreach by enabling public users to replay telescience experiments, conduct their experiments with simulated payloads, and create their own client programs and other custom software.
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Inside the Actors' Studio: Exploring Dietetics Education Practices through Dialogical Inquiry
ERIC Educational Resources Information Center
Fox, Ann L.; Gingras, Jacqui
2012-01-01
Two colleagues, Ann and Jacqui, came together, within the safety of an imagined actors' studio, to explore the challenges that Ann faced in planning a new graduate program in public health nutrition. They met before, during, and after program implementation to discuss Ann's experiences, and audio-taped and transcribed the discussions. When all…
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The Role of Key Actors in School Governance: An Italian Evidence
ERIC Educational Resources Information Center
Salvioni, Daniela; Gandini, Giuseppina; Franzoni, Simona; Gennari, Francesca
2012-01-01
The greater awareness of the role of key actors in the school governance processes and the need to expect a "new leader" in the increasing school complexity are essential conditions to reform the schools from within, so as to provide them with skills related to globalisation, improvement to the educational quality, strengthening of…
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Wendt, Claus; Agartan, Tuba I; Kaminska, Monika Ewa
2013-06-01
Social health insurance in Western Europe has for many years been characterized by self-regulation in which specific conditions of healthcare financing and provision have been regulated by social-insurance institutions through mutual self-governance. However, the principle of self-regulation has recently been weakened by increased state regulation and market competition, which were introduced in response to economic and social changes. Even in Germany, which has been regarded as an "ideal-type" health insurance system and in which self-regulation remains at the core of healthcare governance, more direct state intervention has gained in importance. On the other hand, in countries such as Poland and Turkey, where this tradition of self-regulation is missing, social health insurance is deemed a financing instrument but not an instrument of governance and corporate actors are not accorded a significant role in regulation. This article investigates how social health insurance systems are regulated in contexts in which corporate actors' role is either diminishing or absent by focusing on three crucial areas of regulation: financing, the remuneration of medical doctors, and the definition of the healthcare benefit package. In Germany, state regulation has increased in healthcare financing and remuneration while the role of corporate actors has grown in the definition of the benefits package. In Poland and Turkey, on the other hand, reforms have maintained the status quo in terms of the strong regulatory, budgetary, and managerial powers of the state and very limited involvement of corporate actors. Copyright © 2013 Elsevier Ltd. All rights reserved.
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Effects of Early Writing Intervention Delivered within a Data-Based Instruction Framework
ERIC Educational Resources Information Center
Jung, Pyung-Gang; McMaster, Kristen L.; delMas, Robert C.
2017-01-01
We examined effects of research-based early writing intervention delivered within a data-based instruction (DBI) framework for children with intensive needs. We randomly assigned 46 students with and without disabilities in Grades 1 to 3 within classrooms to either treatment or control. Treatment students received research-based early writing…
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Garnett, K; Lickorish, F A; Rocks, S A; Prpich, G; Rathe, A A; Pollard, S J T
2016-08-01
Poor connection between data on emerging issues and credible policy decisions continues to challenge governments, and is only likely to grow as demands on time and resources increase. Here we summarise recent efforts to integrate horizon scanning and risk prioritisation approaches to better connect emerging issues to the political discourse on environmental and food-related issues. Our categorisation of insights including potential future risks and opportunities to inform policy discussions has emerged from a structured three-year programme of horizon scanning for a UK pan-governmental futures partnership led by the Department for Environment, Food and Rural Affairs (Defra). Our efforts to integrate horizon scanning and risk prioritisation, utilising a qualitative weight of evidence framework, has created a systematic process for identifying all signals of potential future change with significant impact for the strategic mission and underlying values of policy actors. Our approach encourages an exploration of factors out of the control of organisations, recognising that resilience depends on the flexibility of management strategies and the preparedness to deal with a variety of unexpected outcomes. We discuss how this approach addresses key cultural and evaluative challenges that policy actors have had in embedding horizon scanning in evidence-based policy processes, and suggest further developments to build confidence in the use of horizon scanning for strategic planning. Copyright © 2016 Elsevier B.V. All rights reserved.
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Design and construction of porous metal-organic frameworks based on flexible BPH pillars
NASA Astrophysics Data System (ADS)
Hao, Xiang-Rong; Yang, Guang-sheng; Shao, Kui-Zhan; Su, Zhong-Min; Yuan, Gang; Wang, Xin-Long
2013-02-01
Three metal-organic frameworks (MOFs), [Co2(BPDC)2(4-BPH)·3DMF]n (1), [Cd2(BPDC)2(4-BPH)2·2DMF]n (2) and [Ni2(BDC)2(3-BPH)2 (H2O)·4DMF]n (3) (H2BPDC=biphenyl-4,4'-dicarboxylic acid, H2BDC=terephthalic acid, BPH=bis(pyridinylethylidene)hydrazine and DMF=N,N'-dimethylformamide), have been solvothermally synthesized based on the insertion of heterogeneous BPH pillars. Framework 1 has "single-pillared" MOF-5-like motif with inner cage diameters of up to 18.6 Å. Framework 2 has "double pillared" MOF-5-like motif with cage diameters of 19.2 Å while 3 has "double pillared" 8-connected framework with channel diameters of 11.0 Å. Powder X-ray diffraction (PXRD) shows that 3 is a dynamic porous framework.
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The Drinking Water Disparities Framework: On the Origins and Persistence of Inequities in Exposure
Balazs, Carolina L.; Ray, Isha
2014-01-01
With this article, we develop the Drinking Water Disparities Framework to explain environmental injustice in the context of drinking water in the United States. The framework builds on the social epidemiology and environmental justice literatures, and is populated with 5 years of field data (2005–2010) from California’s San Joaquin Valley. We trace the mechanisms through which natural, built, and sociopolitical factors work through state, county, community, and household actors to constrain access to safe water and to financial resources for communities. These constraints and regulatory failures produce social disparities in exposure to drinking water contaminants. Water system and household coping capacities lead, at best, to partial protection against exposure. This composite burden explains the origins and persistence of social disparities in exposure to drinking water contaminants. PMID:24524500
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A framework using cluster-based hybrid network architecture for collaborative virtual surgery.
Qin, Jing; Choi, Kup-Sze; Poon, Wai-Sang; Heng, Pheng-Ann
2009-12-01
Research on collaborative virtual environments (CVEs) opens the opportunity for simulating the cooperative work in surgical operations. It is however a challenging task to implement a high performance collaborative surgical simulation system because of the difficulty in maintaining state consistency with minimum network latencies, especially when sophisticated deformable models and haptics are involved. In this paper, an integrated framework using cluster-based hybrid network architecture is proposed to support collaborative virtual surgery. Multicast transmission is employed to transmit updated information among participants in order to reduce network latencies, while system consistency is maintained by an administrative server. Reliable multicast is implemented using distributed message acknowledgment based on cluster cooperation and sliding window technique. The robustness of the framework is guaranteed by the failure detection chain which enables smooth transition when participants join and leave the collaboration, including normal and involuntary leaving. Communication overhead is further reduced by implementing a number of management approaches such as computational policies and collaborative mechanisms. The feasibility of the proposed framework is demonstrated by successfully extending an existing standalone orthopedic surgery trainer into a collaborative simulation system. A series of experiments have been conducted to evaluate the system performance. The results demonstrate that the proposed framework is capable of supporting collaborative surgical simulation.
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A Framework for Real-Time Collection, Analysis, and Classification of Ubiquitous Infrasound Data
NASA Astrophysics Data System (ADS)
Christe, A.; Garces, M. A.; Magana-Zook, S. A.; Schnurr, J. M.
2015-12-01
Traditional infrasound arrays are generally expensive to install and maintain. There are ~10^3 infrasound channels on Earth today. The amount of data currently provided by legacy architectures can be processed on a modest server. However, the growing availability of low-cost, ubiquitous, and dense infrasonic sensor networks presents a substantial increase in the volume, velocity, and variety of data flow. Initial data from a prototype ubiquitous global infrasound network is already pushing the boundaries of traditional research server and communication systems, in particular when serving data products over heterogeneous, international network topologies. We present a scalable, cloud-based approach for capturing and analyzing large amounts of dense infrasonic data (>10^6 channels). We utilize Akka actors with WebSockets to maintain data connections with infrasound sensors. Apache Spark provides streaming, batch, machine learning, and graph processing libraries which will permit signature classification, cross-correlation, and other analytics in near real time. This new framework and approach provide significant advantages in scalability and cost.
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Role of Knowledge Management and Analytical CRM in Business: Data Mining Based Framework
ERIC Educational Resources Information Center
Ranjan, Jayanthi; Bhatnagar, Vishal
2011-01-01
Purpose: The purpose of the paper is to provide a thorough analysis of the concepts of business intelligence (BI), knowledge management (KM) and analytical CRM (aCRM) and to establish a framework for integrating all the three to each other. The paper also seeks to establish a KM and aCRM based framework using data mining (DM) techniques, which…
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The New NGSS Classroom: A Curriculum Framework for Project-Based Science Learning
ERIC Educational Resources Information Center
Holthuis, Nicole; Deutscher, Rebecca; Schultz, Susan E.; Jamshidi, Arash
2018-01-01
As schools work to implement the Next Generation Science Standards (NGSS), a team at Stanford University found that project-based learning is an effective framework for engaging students. The team used project-based learning, group activities, and performance-based assessments to design an effective, engaging curriculum. Over a three-year period,…
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Developing Integrated Rural Tourism: Actor Practices in the English/Welsh Border
ERIC Educational Resources Information Center
Saxena, Gunjan; Ilbery, Brian
2010-01-01
This paper examines community attitudes and distinctive practices that shape local responses to integrated rural tourism (IRT) development in the lagging rural region of the English/Welsh border area. The focus is on how actors acquire attributes as a result of their relations with others and how these assumed identities are performed in, by and…
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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…
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A service-based framework for pharmacogenomics data integration
NASA Astrophysics Data System (ADS)
Wang, Kun; Bai, Xiaoying; Li, Jing; Ding, Cong
2010-08-01
Data are central to scientific research and practices. The advance of experiment methods and information retrieval technologies leads to explosive growth of scientific data and databases. However, due to the heterogeneous problems in data formats, structures and semantics, it is hard to integrate the diversified data that grow explosively and analyse them comprehensively. As more and more public databases are accessible through standard protocols like programmable interfaces and Web portals, Web-based data integration becomes a major trend to manage and synthesise data that are stored in distributed locations. Mashup, a Web 2.0 technique, presents a new way to compose content and software from multiple resources. The paper proposes a layered framework for integrating pharmacogenomics data in a service-oriented approach using the mashup technology. The framework separates the integration concerns from three perspectives including data, process and Web-based user interface. Each layer encapsulates the heterogeneous issues of one aspect. To facilitate the mapping and convergence of data, the ontology mechanism is introduced to provide consistent conceptual models across different databases and experiment platforms. To support user-interactive and iterative service orchestration, a context model is defined to capture information of users, tasks and services, which can be used for service selection and recommendation during a dynamic service composition process. A prototype system is implemented and cases studies are presented to illustrate the promising capabilities of the proposed approach.
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A 'Healthy Islands' framework for climate change in the Pacific.
McIver, Lachlan; Bowen, Kathryn; Hanna, Elizabeth; Iddings, Steven
2017-06-01
Small Pacific Island countries (PICs) are among the most vulnerable countries in the world to the anticipated detrimental health effects of climate change. The assessment of health vulnerabilities and planning adaptation strategies to minimize the impacts of climate change on health tests traditional health governance structures and depends on strong linkages and partnerships between actors involved in these vital processes. This article reviews the actors, processes and contexts of the climate change and health vulnerability assessment and adaptation planning project carried out by the World Health Organization and health sector partners in three island countries in the Micronesian region of the Pacific throughout 2010 and 2011: Federated States of Micronesia, Marshall Islands and Palau. Despite their shared history and cultural characteristics, the findings and implications of this article are considered to have substantial relevance and potential application to other PICs. The modified 'Healthy Islands' framework for climate change and health adaptation presented in this article draws upon real-world experience and governance theory from both the health and climate change literature and, for the first time, places health systems adaptation within the vision for 'Healthy Islands' in the Pacific region. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
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Trouvé, Hélène; Couturier, Yves; Etheridge, Francis; Saint-Jean, Olivier; Somme, Dominique
2010-06-30
The literature on integration indicates the need for an enhanced theorization of institutional integration. This article proposes path dependence as an analytical framework to study the systems in which integration takes place. PRISMA proposes a model for integrating health and social care services for older adults. This model was initially tested in Quebec. The PRISMA France study gave us an opportunity to analyze institutional integration in France. A qualitative approach was used. Analyses were based on semi-structured interviews with actors of all levels of decision-making, observations of advisory board meetings, and administrative documents. Our analyses revealed the complexity and fragmentation of institutional integration. The path dependency theory, which analyzes the change capacity of institutions by taking into account their historic structures, allows analysis of this situation. The path dependency to the Bismarckian system and the incomplete reforms of gerontological policies generate the coexistence and juxtaposition of institutional systems. In such a context, no institution has sufficient ability to determine gerontology policy and build institutional integration by itself. Using path dependence as an analytical framework helps to understand the reasons why institutional integration is critical to organizational and clinical integration, and the complex construction of institutional integration in France.
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Trouvé, Hélène; Couturier, Yves; Etheridge, Francis; Saint-Jean, Olivier; Somme, Dominique
2010-01-01
Background The literature on integration indicates the need for an enhanced theorization of institutional integration. This article proposes path dependence as an analytical framework to study the systems in which integration takes place. Purpose PRISMA proposes a model for integrating health and social care services for older adults. This model was initially tested in Quebec. The PRISMA France study gave us an opportunity to analyze institutional integration in France. Methods A qualitative approach was used. Analyses were based on semi-structured interviews with actors of all levels of decision-making, observations of advisory board meetings, and administrative documents. Results Our analyses revealed the complexity and fragmentation of institutional integration. The path dependency theory, which analyzes the change capacity of institutions by taking into account their historic structures, allows analysis of this situation. The path dependency to the Bismarckian system and the incomplete reforms of gerontological policies generate the coexistence and juxtaposition of institutional systems. In such a context, no institution has sufficient ability to determine gerontology policy and build institutional integration by itself. Conclusion Using path dependence as an analytical framework helps to understand the reasons why institutional integration is critical to organizational and clinical integration, and the complex construction of institutional integration in France. PMID:20689740
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Framework of sensor-based monitoring for pervasive patient care.
Triantafyllidis, Andreas K; Koutkias, Vassilis G; Chouvarda, Ioanna; Adami, Ilia; Kouroubali, Angelina; Maglaveras, Nicos
2016-09-01
Sensor-based health systems can often become difficult to use, extend and sustain. The authors propose a framework for designing sensor-based health monitoring systems aiming to provide extensible and usable monitoring services in the scope of pervasive patient care. The authors' approach relies on a distributed system for monitoring the patient health status anytime-anywhere and detecting potential health complications, for which healthcare professionals and patients are notified accordingly. Portable or wearable sensing devices measure the patient's physiological parameters, a smart mobile device collects and analyses the sensor data, a Medical Center system receives notifications on the detected health condition, and a Health Professional Platform is used by formal caregivers in order to review the patient condition and configure monitoring schemas. A Service-oriented architecture is utilised to provide extensible functional components and interoperable interactions among the diversified system components. The framework was applied within the REMOTE ambient-assisted living project in which a prototype system was developed, utilising Bluetooth to communicate with the sensors and Web services for data exchange. A scenario of using the REMOTE system and preliminary usability results show the applicability, usefulness and virtue of our approach.
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Framework of sensor-based monitoring for pervasive patient care
Koutkias, Vassilis G.; Chouvarda, Ioanna; Adami, Ilia; Kouroubali, Angelina; Maglaveras, Nicos
2016-01-01
Sensor-based health systems can often become difficult to use, extend and sustain. The authors propose a framework for designing sensor-based health monitoring systems aiming to provide extensible and usable monitoring services in the scope of pervasive patient care. The authors’ approach relies on a distributed system for monitoring the patient health status anytime-anywhere and detecting potential health complications, for which healthcare professionals and patients are notified accordingly. Portable or wearable sensing devices measure the patient's physiological parameters, a smart mobile device collects and analyses the sensor data, a Medical Center system receives notifications on the detected health condition, and a Health Professional Platform is used by formal caregivers in order to review the patient condition and configure monitoring schemas. A Service-oriented architecture is utilised to provide extensible functional components and interoperable interactions among the diversified system components. The framework was applied within the REMOTE ambient-assisted living project in which a prototype system was developed, utilising Bluetooth to communicate with the sensors and Web services for data exchange. A scenario of using the REMOTE system and preliminary usability results show the applicability, usefulness and virtue of our approach. PMID:27733920
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Feinstein, Brian A; McConnell, Elizabeth; Dyar, Christina; Mustanski, Brian; Newcomb, Michael E
2018-05-01
In different-sex couples, individual and partner stress can both have a negative impact on relationship functioning (actor and partner effects). Gay and bisexual men experience unique stress (sexual minority stress), but few studies have examined the effects of this stress on relationship functioning among young male couples. The current study examined (a) actor and partner effects of general and minority stress (internalized stigma, microaggressions, victimization, and outness) on relationship functioning (relationship quality and negative relationship interactions), (b) interactions between individual and partner stress as predictors of relationship functioning, and (c) dyadic coping and relationship length as moderators of actor and partner effects. Actor-partner interdependence models were tested using data from 153 young male couples. There was strong support for actor effects. Higher general stress and internalized stigma were associated with lower relationship quality, but only for those in longer relationships. Additionally, higher general stress, internalized stigma, and microaggressions, and lower outness, were associated with more negative relationship interactions. There was limited support for partner effects. Having a partner with higher internalized stigma was associated with more negative relationship interactions, but none of the other partner effects were significant. There was no support for individual and partner stress interacting to predict relationship functioning or for dyadic coping as a stress buffer. Findings highlight the influence of one's own experiences of general and minority stress on relationship functioning, but raise questions about how partner stress influences relationship functioning among young male couples. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Jiricka, Alexandra, E-mail: alexandra.jiricka@boku.ac.at; Department of Landscape, Spatial and Infrastructure Sciences, Institute for Landscape Development, Recreation and Conservation Planning, Peter-Jordan-Straße 82, 1190 Vienna; Formayer, Herbert
Current political discussions and developments indicate the importance and urgency of incorporating climate change considerations into EIA processes. The recent revision of the EU Directive 2014/52/EU on Environmental Impact Assessment (EIA) requires changes in the EIA practice of the EU member states. This paper investigates the extent to which the Environmental Impact Assessment (EIA) can contribute to an early consideration of climate change consequences in planning processes. In particular the roles of different actors in order to incorporate climate change impacts and adaptation into project planning subject to EIA at the appropriate levels are a core topic. Semi-structured expert interviewsmore » were carried out with representatives of the main infrastructure companies and institutions responsible in these sectors in Austria, which have to carry out EIA regularly. In a second step expert interviews were conducted with EIA assessors and EIA authorities in Austria and Germany, in order to examine the extent to which climate-based changes are already considered in EIA processes. This paper aims to discuss the different perspectives in the current EIA practice with regard to integrating climate change impacts as well as barriers and solutions identified by the groups of actors involved, namely project developers, environmental competent authorities and consultants (EIA assessors/practitioners). The interviews show that different groups of actors consider the topic to different degrees. Downscaling of climate change scenarios is in this context both, a critical issue with regards to availability of data and costs. Furthermore, assistance for the interpretation of relevant impacts, to be deducted from climate change scenarios, on the specific environmental issues in the area is needed. The main barriers identified by the EIA experts therefore include a lack of data as well as general uncertainty as to how far climate change should be considered in the process
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A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care
Bukhari, Hatim; Andreatta, Pamela; Goldiez, Brian; Rabelo, Luis
2017-01-01
This article describes a framework that has been developed to monetize the real value of simulation-based training in health care. A significant consideration has been given to the incorporation of the intangible and qualitative benefits, not only the tangible and quantitative benefits of simulation-based training in health care. The framework builds from three works: the value measurement methodology (VMM) used by several departments of the US Government, a methodology documented in several books by Dr Jack Phillips to monetize various training approaches, and a traditional return on investment methodology put forth by Frost and Sullivan, and Immersion Medical. All 3 source materials were adapted to create an integrated methodology that can be readily implemented. This article presents details on each of these methods and how they can be integrated and presents a framework that integrates the previous methods. In addition to that, it describes the concept and the application of the developed framework. As a test of the applicability of the framework, a real case study has been used to demonstrate the application of the framework. This case study provides real data related to the correlation between the pediatric patient cardiopulmonary arrest (CPA) survival rates and a simulation-based mock codes at the University of Michigan tertiary care academic medical center. It is important to point out that the proposed framework offers the capability to consider a wide range of benefits and values, but on the other hand, there are several limitations that has been discussed and need to be taken in consideration. PMID:28133988
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A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care.
Bukhari, Hatim; Andreatta, Pamela; Goldiez, Brian; Rabelo, Luis
2017-01-01
This article describes a framework that has been developed to monetize the real value of simulation-based training in health care. A significant consideration has been given to the incorporation of the intangible and qualitative benefits, not only the tangible and quantitative benefits of simulation-based training in health care. The framework builds from three works: the value measurement methodology (VMM) used by several departments of the US Government, a methodology documented in several books by Dr Jack Phillips to monetize various training approaches, and a traditional return on investment methodology put forth by Frost and Sullivan, and Immersion Medical. All 3 source materials were adapted to create an integrated methodology that can be readily implemented. This article presents details on each of these methods and how they can be integrated and presents a framework that integrates the previous methods. In addition to that, it describes the concept and the application of the developed framework. As a test of the applicability of the framework, a real case study has been used to demonstrate the application of the framework. This case study provides real data related to the correlation between the pediatric patient cardiopulmonary arrest (CPA) survival rates and a simulation-based mock codes at the University of Michigan tertiary care academic medical center. It is important to point out that the proposed framework offers the capability to consider a wide range of benefits and values, but on the other hand, there are several limitations that has been discussed and need to be taken in consideration.
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Towards a Theory-Based Design Framework for an Effective E-Learning Computer Programming Course
ERIC Educational Resources Information Center
McGowan, Ian S.
2016-01-01
Built on Dabbagh (2005), this paper presents a four component theory-based design framework for an e-learning session in introductory computer programming. The framework, driven by a body of exemplars component, emphasizes the transformative interaction between the knowledge building community (KBC) pedagogical model, a mixed instructional…
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NASA Astrophysics Data System (ADS)
Chen, Ruey-Shun; Tsai, Yung-Shun; Tu, Arthur
In this study we propose a manufacturing control framework based on radio-frequency identification (RFID) technology and a distributed information system to construct a mass-customization production process in a loosely coupled shop-floor control environment. On the basis of this framework, we developed RFID middleware and an integrated information system for tracking and controlling the manufacturing process flow. A bicycle manufacturer was used to demonstrate the prototype system. The findings of this study were that the proposed framework can improve the visibility and traceability of the manufacturing process as well as enhance process quality control and real-time production pedigree access. Using this framework, an enterprise can easily integrate an RFID-based system into its manufacturing environment to facilitate mass customization and a just-in-time production model.
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A Rich Client-Server Based Framework for Convenient Security and Management of Mobile Applications
NASA Astrophysics Data System (ADS)
Badan, Stephen; Probst, Julien; Jaton, Markus; Vionnet, Damien; Wagen, Jean-Frédéric; Litzistorf, Gérald
Contact lists, Emails, SMS or custom applications on a professional smartphone could hold very confidential or sensitive information. What could happen in case of theft or accidental loss of such devices? Such events could be detected by the separation between the smartphone and a Bluetooth companion device. This event should typically block the applications and delete personal and sensitive data. Here, a solution is proposed based on a secured framework application running on the mobile phone as a rich client connected to a security server. The framework offers strong and customizable authentication and secured connectivity. A security server manages all security issues. User applications are then loaded via the framework. User data can be secured, synchronized, pushed or pulled via the framework. This contribution proposes a convenient although secured environment based on a client-server architecture using external authentications. Several features of the proposed system are exposed and a practical demonstrator is described.
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Rangarajan, Srinivas; Maravelias, Christos T.; Mavrikakis, Manos
2017-11-09
Here, we present a general optimization-based framework for (i) ab initio and experimental data driven mechanistic modeling and (ii) optimal catalyst design of heterogeneous catalytic systems. Both cases are formulated as a nonlinear optimization problem that is subject to a mean-field microkinetic model and thermodynamic consistency requirements as constraints, for which we seek sparse solutions through a ridge (L 2 regularization) penalty. The solution procedure involves an iterative sequence of forward simulation of the differential algebraic equations pertaining to the microkinetic model using a numerical tool capable of handling stiff systems, sensitivity calculations using linear algebra, and gradient-based nonlinear optimization.more » A multistart approach is used to explore the solution space, and a hierarchical clustering procedure is implemented for statistically classifying potentially competing solutions. An example of methanol synthesis through hydrogenation of CO and CO 2 on a Cu-based catalyst is used to illustrate the framework. The framework is fast, is robust, and can be used to comprehensively explore the model solution and design space of any heterogeneous catalytic system.« less
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Rangarajan, Srinivas; Maravelias, Christos T.; Mavrikakis, Manos
Here, we present a general optimization-based framework for (i) ab initio and experimental data driven mechanistic modeling and (ii) optimal catalyst design of heterogeneous catalytic systems. Both cases are formulated as a nonlinear optimization problem that is subject to a mean-field microkinetic model and thermodynamic consistency requirements as constraints, for which we seek sparse solutions through a ridge (L 2 regularization) penalty. The solution procedure involves an iterative sequence of forward simulation of the differential algebraic equations pertaining to the microkinetic model using a numerical tool capable of handling stiff systems, sensitivity calculations using linear algebra, and gradient-based nonlinear optimization.more » A multistart approach is used to explore the solution space, and a hierarchical clustering procedure is implemented for statistically classifying potentially competing solutions. An example of methanol synthesis through hydrogenation of CO and CO 2 on a Cu-based catalyst is used to illustrate the framework. The framework is fast, is robust, and can be used to comprehensively explore the model solution and design space of any heterogeneous catalytic system.« less
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Evidence-Based mHealth Chronic Disease Mobile App Intervention Design: Development of a Framework.
Wilhide Iii, Calvin C; Peeples, Malinda M; Anthony Kouyaté, Robin C
2016-02-16
Mobile technology offers new capabilities that can help to drive important aspects of chronic disease management at both an individual and population level, including the ability to deliver real-time interventions that can be connected to a health care team. A framework that supports both development and evaluation is needed to understand the aspects of mHealth that work for specific diseases, populations, and in the achievement of specific outcomes in real-world settings. This framework should incorporate design structure and process, which are important to translate clinical and behavioral evidence, user interface, experience design and technical capabilities into scalable, replicable, and evidence-based mobile health (mHealth) solutions to drive outcomes. The purpose of this paper is to discuss the identification and development of an app intervention design framework, and its subsequent refinement through development of various types of mHealth apps for chronic disease. The process of developing the framework was conducted between June 2012 and June 2014. Informed by clinical guidelines, standards of care, clinical practice recommendations, evidence-based research, best practices, and translated by subject matter experts, a framework for mobile app design was developed and the refinement of the framework across seven chronic disease states and three different product types is described. The result was the development of the Chronic Disease mHealth App Intervention Design Framework. This framework allowed for the integration of clinical and behavioral evidence for intervention and feature design. The application to different diseases and implementation models guided the design of mHealth solutions for varying levels of chronic disease management. The framework and its design elements enable replicable product development for mHealth apps and may provide a foundation for the digital health industry to systematically expand mobile health interventions and validate
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Evidence-Based mHealth Chronic Disease Mobile App Intervention Design: Development of a Framework
Peeples, Malinda M; Anthony Kouyaté, Robin C
2016-01-01
Background Mobile technology offers new capabilities that can help to drive important aspects of chronic disease management at both an individual and population level, including the ability to deliver real-time interventions that can be connected to a health care team. A framework that supports both development and evaluation is needed to understand the aspects of mHealth that work for specific diseases, populations, and in the achievement of specific outcomes in real-world settings. This framework should incorporate design structure and process, which are important to translate clinical and behavioral evidence, user interface, experience design and technical capabilities into scalable, replicable, and evidence-based mobile health (mHealth) solutions to drive outcomes. Objective The purpose of this paper is to discuss the identification and development of an app intervention design framework, and its subsequent refinement through development of various types of mHealth apps for chronic disease. Methods The process of developing the framework was conducted between June 2012 and June 2014. Informed by clinical guidelines, standards of care, clinical practice recommendations, evidence-based research, best practices, and translated by subject matter experts, a framework for mobile app design was developed and the refinement of the framework across seven chronic disease states and three different product types is described. Results The result was the development of the Chronic Disease mHealth App Intervention Design Framework. This framework allowed for the integration of clinical and behavioral evidence for intervention and feature design. The application to different diseases and implementation models guided the design of mHealth solutions for varying levels of chronic disease management. Conclusions The framework and its design elements enable replicable product development for mHealth apps and may provide a foundation for the digital health industry to
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Obfuscation Framework Based on Functionally Equivalent Combinatorial Logic Families
2008-03-01
of Defense, or the United States Government . AFIT/GCS/ENG/08-12 Obfuscation Framework Based on Functionally Equivalent Combinatorial Logic Families...time, United States policy strongly encourages the sale and transfer of some military equipment to foreign governments and makes it easier for...Proceedings of the International Conference on Availability, Reliability and Security, 2007. 14. McDonald, J. Todd and Alec Yasinsac. “Of unicorns and random
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Mitter, Hermine; Schönhart, Martin; Larcher, Manuela; Schmid, Erwin
2018-03-01
Empirical findings on actors' roles and responsibilities in the climate change adaptation process are rare even though cooperation between private and public actors is perceived important to foster adaptation in agriculture. We therefore developed the framework SAER (Stimuli-Actions-Effects-Responses) to investigate perceived relationships between private and public climate change adaptation in agriculture at regional scale. In particular, we explore agricultural experts' perceptions on (i) climatic and non-climatic factors stimulating private adaptation, (ii) farm adaption actions, (iii) potential on-farm and off-farm effects from adaptation, and (iv) the relationships between private and public adaptation. The SAER-framework is built on a comprehensive literature review and empirical findings from semi-structured interviews with agricultural experts from two case study regions in Austria. We find that private adaptation is perceived as incremental, systemic or transformational. It is typically stimulated by a mix of bio-physical and socio-economic on-farm and off-farm factors. Stimulating factors related to climate change are perceived of highest relevance for systemic and transformational adaptation whereas already implemented adaptation is mostly perceived to be incremental. Perceived effects of private adaptation are related to the environment, weather and climate, quality and quantity of agricultural products as well as human, social and economic resources. Our results also show that public adaptation can influence factors stimulating private adaptation as well as adaptation effects through the design and development of the legal, policy and organizational environment as well as the provision of educational, informational, financial, and technical infrastructure. Hence, facilitating existing and new collaborations between private and public actors may enable farmers to adapt effectively to climate change. Copyright © 2018 Elsevier Ltd. All rights reserved.
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Siddiqi, Kamran; Scammell, Katy; Huque, Rumana; Khan, Amina; Baral, Sushil; Ali, Shehzad; Watt, Ian
2016-04-01
Most South Asian countries are signatories to the WHO Framework Convention for Tobacco Control (FCTC). However, there is little information on the extent to which FCTC standards are effectively implemented for controlling smokeless tobacco (SLT)-used by over 250 million people in the region. We assessed the feasibility of a novel approach based on interviewing the key actors of SLT supply chain and analyzing its findings using standards set by FCTC. Using a snowball-sampling technique, we interviewed point-of-sale vendors, wholesale retailers, manufacturers, raw-tobacco retailers, and farmers involved in the supply chain of SLT in Bangladesh, Nepal, and Pakistan. Using a structured-questionnaire, participants were asked about their customer profiles; product types; marketing practices; suppliers; profit margins, awareness and adherence to legislation. We recruited 72% (130/180) of all supply chain actors approached. Findings indicate several loopholes in the existing taxation, regulatory, and inspection systems. A significant proportion of smuggled and counterfeit SLT products are available in the market. Most SLT products are sold without recommended warnings, information on their ingredients, and manufacturers' details. There appear to be no restrictions on sale of SLT products to minors. On the other hand, there are also several incentives built-in the supply chain that makes tobacco farming, SLT manufacturing, and its sale a profitable business. Our novel approach to study SLT control was successful in identifying and interviewing actors involved in its supply chain. The analysis using FCTC could provide valuable information to policy makers and enable them to effectively regulate SLT products. © The Author 2015. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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NASA Astrophysics Data System (ADS)
Rowse, Tarah
While global, national, and regional efforts to address climate and energy challenges remain essential, local governments and community groups are playing an increasingly stronger and vital role. As an active state in energy system policy, planning and innovation, Vermont offers a testing ground for research into energy governance at the local level. A baseline understanding of the energy planning and energy organizing activities initiated at the local level can support efforts to foster a transition to a sustainable energy system in Vermont. Following an inductive, applied and participatory approach, and grounded in the fields of sustainability transitions, energy planning, and community energy, this research project identifies conditions for change, including opportunities and challenges, within Vermont energy system decision-making and governance at the local level. The following questions are posed: What are the main opportunities and challenges for sustainable energy development at the town level? How are towns approaching energy planning? What are the triggers that will facilitate a faster transition to alternative energy systems, energy efficiency initiatives, and localized approaches? In an effort to answer these questions two studies were conducted: 1) an analysis of municipal energy plans, and 2) a survey of local energy actors. Study 1 examined Vermont energy planning at the state and local level through a review and comparison of 40 municipal plan energy chapters with the state 2011 Comprehensive Energy Plan. On average, municipal plans mentioned just over half of the 24 high-level strategies identified in the Comprehensive Energy Plan. Areas of strong and weak agreement were examined. Increased state and regional interaction with municipal energy planners would support more holistic and coordinated energy planning. The study concludes that while municipalities are keenly aware of the importance of education and partnerships, stronger policy mechanisms
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ERIC Educational Resources Information Center
Stolk, Machiel Johan; Bulte, Astrid; De Jong, Onno; Pilot, Albert
2012-01-01
Even experienced chemistry teachers require professional development when they are encouraged to become actively engaged in the design of new context-based education. This study briefly describes the development of a framework consisting of goals, learning phases, strategies and instructional functions, and how the framework was translated into a…
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Framework and Implications of Virtual Neurorobotics
Goodman, Philip H.; Zou, Quan; Dascalu, Sergiu-Mihai
2008-01-01
Despite decades of societal investment in artificial learning systems, truly “intelligent” systems have yet to be realized. These traditional models are based on input-output pattern optimization and/or cognitive production rule modeling. One response has been social robotics, using the interaction of human and robot to capture important cognitive dynamics such as cooperation and emotion; to date, these systems still incorporate traditional learning algorithms. More recently, investigators are focusing on the core assumptions of the brain “algorithm” itself—trying to replicate uniquely “neuromorphic” dynamics such as action potential spiking and synaptic learning. Only now are large-scale neuromorphic models becoming feasible, due to the availability of powerful supercomputers and an expanding supply of parameters derived from research into the brain's interdependent electrophysiological, metabolomic and genomic networks. Personal computer technology has also led to the acceptance of computer-generated humanoid images, or “avatars”, to represent intelligent actors in virtual realities. In a recent paper, we proposed a method of virtual neurorobotics (VNR) in which the approaches above (social-emotional robotics, neuromorphic brain architectures, and virtual reality projection) are hybridized to rapidly forward-engineer and develop increasingly complex, intrinsically intelligent systems. In this paper, we synthesize our research and related work in the field and provide a framework for VNR, with wider implications for research and practical applications. PMID:18982115
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Bereskie, Ty; Haider, Husnain; Rodriguez, Manuel J; Sadiq, Rehan
2017-08-23
Traditional approaches for benchmarking drinking water systems are binary, based solely on the compliance and/or non-compliance of one or more water quality performance indicators against defined regulatory guidelines/standards. The consequence of water quality failure is dependent on location within a water supply system as well as time of the year (i.e., season) with varying levels of water consumption. Conventional approaches used for water quality comparison purposes fail to incorporate spatiotemporal variability and degrees of compliance and/or non-compliance. This can lead to misleading or inaccurate performance assessment data used in the performance benchmarking process. In this research, a hierarchical risk-based water quality performance benchmarking framework is proposed to evaluate small drinking water systems (SDWSs) through cross-comparison amongst similar systems. The proposed framework (R WQI framework) is designed to quantify consequence associated with seasonal and location-specific water quality issues in a given drinking water supply system to facilitate more efficient decision-making for SDWSs striving for continuous performance improvement. Fuzzy rule-based modelling is used to address imprecision associated with measuring performance based on singular water quality guidelines/standards and the uncertainties present in SDWS operations and monitoring. This proposed R WQI framework has been demonstrated using data collected from 16 SDWSs in Newfoundland and Labrador and Quebec, Canada, and compared to the Canadian Council of Ministers of the Environment WQI, a traditional, guidelines/standard-based approach. The study found that the R WQI framework provides an in-depth state of water quality and benchmarks SDWSs more rationally based on the frequency of occurrence and consequence of failure events.
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Neonatal physical therapy. Part II: Practice frameworks and evidence-based practice guidelines.
Sweeney, Jane K; Heriza, Carolyn B; Blanchard, Yvette; Dusing, Stacey C
2010-01-01
(1) To outline frameworks for neonatal physical therapy based on 3 theoretical models, (2) to describe emerging literature supporting neonatal physical therapy practice, and (3) to identify evidence-based practice recommendations. Three models are presented as a framework for neonatal practice: (1) dynamic systems theory including synactive theory and the theory of neuronal group selection, (2) the International Classification of Functioning, Disability and Health, and (3) family-centered care. Literature is summarized to support neonatal physical therapists in the areas of examination, developmental care, intervention, and parent education. Practice recommendations are offered with levels of evidence identified. Neonatal physical therapy practice has a theoretical and evidence-based structure, and evidence is emerging for selected clinical procedures. Continued research to expand the science of neonatal physical therapy is critical to elevate the evidence and support practice recommendations.
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Inquiry-based science education: towards a pedagogical framework for primary school teachers
NASA Astrophysics Data System (ADS)
van Uum, Martina S. J.; Verhoeff, Roald P.; Peeters, Marieke
2016-02-01
Inquiry-based science education (IBSE) has been promoted as an inspiring way of learning science by engaging pupils in designing and conducting their own scientific investigations. For primary school teachers, the open nature of IBSE poses challenges as they often lack experience in supporting their pupils during the different phases of an open IBSE project, such as formulating a research question and designing and conducting an investigation. The current study aims to meet these challenges by presenting a pedagogical framework in which four domains of scientific knowledge are addressed in seven phases of inquiry. The framework is based on video analyses of pedagogical interventions by primary school teachers participating in open IBSE projects. Our results show that teachers can guide their pupils successfully through the process of open inquiry by explicitly addressing the conceptual, epistemic, social and/or procedural domain of scientific knowledge in the subsequent phases of inquiry. The paper concludes by suggesting further research to validate our framework and to develop a pedagogy for primary school teachers to guide their pupils through the different phases of open inquiry.
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ERIC Educational Resources Information Center
Natow, Rebecca S.
2015-01-01
The federal higher education rulemaking process develops policies that can profoundly affect college students, higher education institutions, and other actors in the higher education policy community. But little has been researched about the influence that different types of actors have on higher education rulemaking. By analyzing interviews with…
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An ORCID based synchronization framework for a national CRIS ecosystem.
Mendes Moreira, João; Cunha, Alcino; Macedo, Nuno
2015-01-01
PTCRIS (Portuguese Current Research Information System) is a program aiming at the creation and sustained development of a national integrated information ecosystem, to support research management according to the best international standards and practices. This paper reports on the experience of designing and prototyping a synchronization framework for PTCRIS based on ORCID (Open Researcher and Contributor ID). This framework embraces the "input once, re-use often" principle, and will enable a substantial reduction of the research output management burden by allowing automatic information exchange between the various national systems. The design of the framework followed best practices in rigorous software engineering, namely well-established principles in the research field of consistency management, and relied on formal analysis techniques and tools for its validation and verification. The notion of consistency between the services was formally specified and discussed with the stakeholders before the technical aspects on how to preserve said consistency were explored. Formal specification languages and automated verification tools were used to analyze the specifications and generate usage scenarios, useful for validation with the stakeholder and essential to certificate compliant services.
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Bifunctional Organic Polymeric Catalysts with a Tunable Acid-Base Distance and Framework Flexibility
Chen, Huanhui; Wang, Yanan; Wang, Qunlong; Li, Junhui; Yang, Shiqi; Zhu, Zhirong
2014-01-01
Acid-base bifunctional organic polymeric catalysts were synthesized with tunable structures. we demonstrated two synthesis approaches for structural fine-tune. In the first case, the framework flexibility was tuned by changing the ratio of rigid blocks to flexible blocks within the polymer framework. In the second case, we precisely adjusted the acid-base distance by distributing basic monomers to be adjacent to acidic monomers, and by changing the chain length of acidic monomers. In a standard test reaction for the aldol condensation of 4-nitrobenzaldehyde with acetone, the catalysts showed good reusability upon recycling and maintained relatively high conversion percentage. PMID:25267260
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A VGI data integration framework based on linked data model
NASA Astrophysics Data System (ADS)
Wan, Lin; Ren, Rongrong
2015-12-01
This paper aims at the geographic data integration and sharing method for multiple online VGI data sets. We propose a semantic-enabled framework for online VGI sources cooperative application environment to solve a target class of geospatial problems. Based on linked data technologies - which is one of core components of semantic web, we can construct the relationship link among geographic features distributed in diverse VGI platform by using linked data modeling methods, then deploy these semantic-enabled entities on the web, and eventually form an interconnected geographic data network to support geospatial information cooperative application across multiple VGI data sources. The mapping and transformation from VGI sources to RDF linked data model is presented to guarantee the unique data represent model among different online social geographic data sources. We propose a mixed strategy which combined spatial distance similarity and feature name attribute similarity as the measure standard to compare and match different geographic features in various VGI data sets. And our work focuses on how to apply Markov logic networks to achieve interlinks of the same linked data in different VGI-based linked data sets. In our method, the automatic generating method of co-reference object identification model according to geographic linked data is discussed in more detail. It finally built a huge geographic linked data network across loosely-coupled VGI web sites. The results of the experiment built on our framework and the evaluation of our method shows the framework is reasonable and practicable.
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Fuzzy decision-making framework for treatment selection based on the combined QUALIFLEX-TODIM method
NASA Astrophysics Data System (ADS)
Ji, Pu; Zhang, Hong-yu; Wang, Jian-qiang
2017-10-01
Treatment selection is a multi-criteria decision-making problem of significant concern in the medical field. In this study, a fuzzy decision-making framework is established for treatment selection. The framework mitigates information loss by introducing single-valued trapezoidal neutrosophic numbers to denote evaluation information. Treatment selection has multiple criteria that remarkably exceed the alternatives. In consideration of this characteristic, the framework utilises the idea of the qualitative flexible multiple criteria method. Furthermore, it considers the risk-averse behaviour of a decision maker by employing a concordance index based on TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method. A sensitivity analysis is performed to illustrate the robustness of the framework. Finally, a comparative analysis is conducted to compare the framework with several extant methods. Results indicate the advantages of the framework and its better performance compared with the extant methods.
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ERIC Educational Resources Information Center
Lappas, Pantelis Z.; Kritikos, Manolis N.
2018-01-01
The main objective of this paper is to propose a didactic framework for teaching Applied Mathematics in higher education. After describing the structure of the framework, several applications of inquiry-based learning in teaching numerical analysis and optimization are provided to illustrate the potential of the proposed framework. The framework…
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A security framework for nationwide health information exchange based on telehealth strategy.
Zaidan, B B; Haiqi, Ahmed; Zaidan, A A; Abdulnabi, Mohamed; Kiah, M L Mat; Muzamel, Hussaen
2015-05-01
This study focuses on the situation of health information exchange (HIE) in the context of a nationwide network. It aims to create a security framework that can be implemented to ensure the safe transmission of health information across the boundaries of care providers in Malaysia and other countries. First, a critique of the major elements of nationwide health information networks is presented from the perspective of security, along with such topics as the importance of HIE, issues, and main approaches. Second, a systematic evaluation is conducted on the security solutions that can be utilized in the proposed nationwide network. Finally, a secure framework for health information transmission is proposed within a central cloud-based model, which is compatible with the Malaysian telehealth strategy. The outcome of this analysis indicates that a complete security framework for a global structure of HIE is yet to be defined and implemented. Our proposed framework represents such an endeavor and suggests specific techniques to achieve this goal.
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Opportunity or Affection? Participation of Respondents' Partners in a Multi-Actor Survey
ERIC Educational Resources Information Center
Müller, Bettina
2017-01-01
Multi-actor studies are particularly suited for partner and family research, as they capture relationships beyond the conventional restraint of the household. Previous research on partner participation in the German Family Panel indicates higher participation of cohabiting and married partners compared to those living apart together. The present…
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Scientific Journals of Universities of Chile, Colombia, and Venezuela: Actors and Roles
ERIC Educational Resources Information Center
Delgado, Jorge Enrique
2014-01-01
A qualitative study was carried out to identify the roles of actors associated with the publication of scientific journals in Chilean, Colombian, and Venezuelan universities. Twenty-four semi-structured in-depth interviews were conducted with journal editors, university authorities, and other experts. The categories of analysis included university…
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BIRAM: a content-based image retrieval framework for medical images
NASA Astrophysics Data System (ADS)
Moreno, Ramon A.; Furuie, Sergio S.
2006-03-01
In the medical field, digital images are becoming more and more important for diagnostics and therapy of the patients. At the same time, the development of new technologies has increased the amount of image data produced in a hospital. This creates a demand for access methods that offer more than text-based queries for retrieval of the information. In this paper is proposed a framework for the retrieval of medical images that allows the use of different algorithms for the search of medical images by similarity. The framework also enables the search for textual information from an associated medical report and DICOM header information. The proposed system can be used for support of clinical decision making and is intended to be integrated with an open source picture, archiving and communication systems (PACS). The BIRAM has the following advantages: (i) Can receive several types of algorithms for image similarity search; (ii) Allows the codification of the report according to a medical dictionary, improving the indexing of the information and retrieval; (iii) The algorithms can be selectively applied to images with the appropriated characteristics, for instance, only in magnetic resonance images. The framework was implemented in Java language using a MS Access 97 database. The proposed framework can still be improved, by the use of regions of interest (ROI), indexing with slim-trees and integration with a PACS Server.
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An Example-Based Brain MRI Simulation Framework.
He, Qing; Roy, Snehashis; Jog, Amod; Pham, Dzung L
2015-02-21
The simulation of magnetic resonance (MR) images plays an important role in the validation of image analysis algorithms such as image segmentation, due to lack of sufficient ground truth in real MR images. Previous work on MRI simulation has focused on explicitly modeling the MR image formation process. However, because of the overwhelming complexity of MR acquisition these simulations must involve simplifications and approximations that can result in visually unrealistic simulated images. In this work, we describe an example-based simulation framework, which uses an "atlas" consisting of an MR image and its anatomical models derived from the hard segmentation. The relationships between the MR image intensities and its anatomical models are learned using a patch-based regression that implicitly models the physics of the MR image formation. Given the anatomical models of a new brain, a new MR image can be simulated using the learned regression. This approach has been extended to also simulate intensity inhomogeneity artifacts based on the statistical model of training data. Results show that the example based MRI simulation method is capable of simulating different image contrasts and is robust to different choices of atlas. The simulated images resemble real MR images more than simulations produced by a physics-based model.
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A Framework for Performing V&V within Reuse-Based Software Engineering
NASA Technical Reports Server (NTRS)
Addy, Edward A.
1996-01-01
Verification and validation (V&V) is performed during application development for many systems, especially safety-critical and mission-critical systems. The V&V process is intended to discover errors, especially errors related to critical processing, as early as possible during the development process. Early discovery is important in order to minimize the cost and other impacts of correcting these errors. In order to provide early detection of errors, V&V is conducted in parallel with system development, often beginning with the concept phase. In reuse-based software engineering, however, decisions on the requirements, design and even implementation of domain assets can be made prior to beginning development of a specific system. In this case, V&V must be performed during domain engineering in order to have an impact on system development. This paper describes a framework for performing V&V within architecture-centric, reuse-based software engineering. This framework includes the activities of traditional application-level V&V, and extends these activities into domain engineering and into the transition between domain engineering and application engineering. The framework includes descriptions of the types of activities to be performed during each of the life-cycle phases, and provides motivation for the activities.
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Development of a Neural Network-Based Renewable Energy Forecasting Framework for Process Industries
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lee, Soobin; Ryu, Jun-Hyung; Hodge, Bri-Mathias
2016-06-25
This paper presents a neural network-based forecasting framework for photovoltaic power (PV) generation as a decision-supporting tool to employ renewable energies in the process industry. The applicability of the proposed framework is illustrated by comparing its performance against other methodologies such as linear and nonlinear time series modelling approaches. A case study of an actual PV power plant in South Korea is presented.
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A polyhedron-based metal-organic framework with a reo-e net.
Ren, Guojian; Liu, Shuxia; Wei, Feng; Ma, Fengji; Tang, Qun; Li, Shujun
2012-10-14
A polyhedron-based metal-organic framework has been designed and constructed with a reo-e net, which is constructed from trinuclear nickel clusters and mixed ligands (copolymerization pattern). It comprises three kinds of polyhedra, which are the hexahedron, cuboctahedron and rhombicuboctahedron.
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Pathways of undue influence in health policy-making: a main actor's perspective.
Hernández-Aguado, Ildefonso; Chilet-Rosell, Elisa
2018-02-01
It is crucial to know the extent to which influences lead to policy capture-by which the policy-making process is shifted away from the public interest towards narrow private interests. Using the case study of Spain, our aim was to identify interactions between public administration, civil society and private companies that could influence health policies. 54 semistructured interviews with key actors related to health policy. The interviews were used to gather information on main policy actors as well as on direct and subtle influences that could modify health policies. The analysis identified and described, from the interviewed persons' experiences, both the inappropriate influences exerted on the actors and those that they exerted. Inappropriate influences were identified at all levels of administration and policy. They included actions for personal benefits, pressure for blocking health policies and pressure from high levels of government in favour of private corporations. The private sector played a significant role in these strategies through bribery, personal gifts, revolving doors, negative campaigns and by blocking unfavourable political positions or determining the knowledge agenda. The interviewees reported subtle forms of influence (social events, offers of technical support, invitations, etc) that contributed to the intellectual and cultural capture of health officials. The health policy decision-making processes in Spain are subject to influences by stakeholders that determine a degree of policy capture, which is avoidable. The private sector uses different strategies, from subtle influences to outright corruption, taking advantage in many cases of flexible legislation. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
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Wang, Liangying; Dong, Bin; Ge, Rile; Jiang, Fengxing; Xu, Jingkun
2017-03-01
Organic semiconductors have great potential as flexible thermoelectric materials. A fluorene-based covalent organic framework (FL-COF-1) was designed with the aim of creating an enhanced π-π interaction among the crystalline backbones. By the introduction of fluorene units into the frameworks, the FL-COF-1 had high thermal stability with a BET surface area over 1300 m 2 g -1 . The open frameworks were favorable for doping with iodine and followed with the improved charge carrier mobility. The compressed pellet of I 2 @FL-COF-1 exhibited a high Seebeck coefficient of 2450 μV K -1 and power factor of 0.063 μW m -1 K -2 at room temperature, giving the first example of COFs' potential application as thermoelectric materials.
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The knowledge-based framework for a nuclear power plant operator advisor
DOE Office of Scientific and Technical Information (OSTI.GOV)
Miller, D.W.; Hajek, B.K.
1989-01-01
An important facet in the design, development, and evaluation of aids for complex systems is the identification of the tasks performed by the operator. Operator aids utilizing artificial intelligence, or more specifically knowledge-based systems, require identification of these tasks in the context of a knowledge-based framework. In this context, the operator responses to the plant behavior are to monitor and comprehend the state of the plant, identify normal and abnormal plant conditions, diagnose abnormal plant conditions, predict plant response to specific control actions, and select the best available control action, implement a feasible control action, monitor system response to themore » control action, and correct for any inappropriate responses. These tasks have been identified to formulate a knowledge-based framework for an operator advisor under development at Ohio State University that utilizes the generic task methodology proposed by Chandrasekaran. The paper lays the foundation to identify the responses as a knowledge-based set of tasks in accordance with the expected human operator responses during an event. Initial evaluation of the expert system indicates the potential for an operator aid that will improve the operator's ability to respond to both anticipated and unanticipated events.« less
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Breaking and Fixing Origin-Based Access Control in Hybrid Web/Mobile Application Frameworks.
Georgiev, Martin; Jana, Suman; Shmatikov, Vitaly
2014-02-01
Hybrid mobile applications (apps) combine the features of Web applications and "native" mobile apps. Like Web applications, they are implemented in portable, platform-independent languages such as HTML and JavaScript. Like native apps, they have direct access to local device resources-file system, location, camera, contacts, etc. Hybrid apps are typically developed using hybrid application frameworks such as PhoneGap. The purpose of the framework is twofold. First, it provides an embedded Web browser (for example, WebView on Android) that executes the app's Web code. Second, it supplies "bridges" that allow Web code to escape the browser and access local resources on the device. We analyze the software stack created by hybrid frameworks and demonstrate that it does not properly compose the access-control policies governing Web code and local code, respectively. Web code is governed by the same origin policy, whereas local code is governed by the access-control policy of the operating system (for example, user-granted permissions in Android). The bridges added by the framework to the browser have the same local access rights as the entire application, but are not correctly protected by the same origin policy. This opens the door to fracking attacks, which allow foreign-origin Web content included into a hybrid app (e.g., ads confined in iframes) to drill through the layers and directly access device resources. Fracking vulnerabilities are generic: they affect all hybrid frameworks, all embedded Web browsers, all bridge mechanisms, and all platforms on which these frameworks are deployed. We study the prevalence of fracking vulnerabilities in free Android apps based on the PhoneGap framework. Each vulnerability exposes sensitive local resources-the ability to read and write contacts list, local files, etc.-to dozens of potentially malicious Web domains. We also analyze the defenses deployed by hybrid frameworks to prevent resource access by foreign-origin Web content
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Breaking and Fixing Origin-Based Access Control in Hybrid Web/Mobile Application Frameworks
Georgiev, Martin; Jana, Suman; Shmatikov, Vitaly
2014-01-01
Hybrid mobile applications (apps) combine the features of Web applications and “native” mobile apps. Like Web applications, they are implemented in portable, platform-independent languages such as HTML and JavaScript. Like native apps, they have direct access to local device resources—file system, location, camera, contacts, etc. Hybrid apps are typically developed using hybrid application frameworks such as PhoneGap. The purpose of the framework is twofold. First, it provides an embedded Web browser (for example, WebView on Android) that executes the app's Web code. Second, it supplies “bridges” that allow Web code to escape the browser and access local resources on the device. We analyze the software stack created by hybrid frameworks and demonstrate that it does not properly compose the access-control policies governing Web code and local code, respectively. Web code is governed by the same origin policy, whereas local code is governed by the access-control policy of the operating system (for example, user-granted permissions in Android). The bridges added by the framework to the browser have the same local access rights as the entire application, but are not correctly protected by the same origin policy. This opens the door to fracking attacks, which allow foreign-origin Web content included into a hybrid app (e.g., ads confined in iframes) to drill through the layers and directly access device resources. Fracking vulnerabilities are generic: they affect all hybrid frameworks, all embedded Web browsers, all bridge mechanisms, and all platforms on which these frameworks are deployed. We study the prevalence of fracking vulnerabilities in free Android apps based on the PhoneGap framework. Each vulnerability exposes sensitive local resources—the ability to read and write contacts list, local files, etc.—to dozens of potentially malicious Web domains. We also analyze the defenses deployed by hybrid frameworks to prevent resource access by foreign
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A semi-supervised learning framework for biomedical event extraction based on hidden topics.
Zhou, Deyu; Zhong, Dayou
2015-05-01
Scientists have devoted decades of efforts to understanding the interaction between proteins or RNA production. The information might empower the current knowledge on drug reactions or the development of certain diseases. Nevertheless, due to the lack of explicit structure, literature in life science, one of the most important sources of this information, prevents computer-based systems from accessing. Therefore, biomedical event extraction, automatically acquiring knowledge of molecular events in research articles, has attracted community-wide efforts recently. Most approaches are based on statistical models, requiring large-scale annotated corpora to precisely estimate models' parameters. However, it is usually difficult to obtain in practice. Therefore, employing un-annotated data based on semi-supervised learning for biomedical event extraction is a feasible solution and attracts more interests. In this paper, a semi-supervised learning framework based on hidden topics for biomedical event extraction is presented. In this framework, sentences in the un-annotated corpus are elaborately and automatically assigned with event annotations based on their distances to these sentences in the annotated corpus. More specifically, not only the structures of the sentences, but also the hidden topics embedded in the sentences are used for describing the distance. The sentences and newly assigned event annotations, together with the annotated corpus, are employed for training. Experiments were conducted on the multi-level event extraction corpus, a golden standard corpus. Experimental results show that more than 2.2% improvement on F-score on biomedical event extraction is achieved by the proposed framework when compared to the state-of-the-art approach. The results suggest that by incorporating un-annotated data, the proposed framework indeed improves the performance of the state-of-the-art event extraction system and the similarity between sentences might be precisely
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Piñeros, Marion; Wiesner, Carolina; Cortés, Claudia; Trujillo, Lina María
2010-05-01
In most developing countries, HPV vaccines have been licensed but there are no national policy recommendations, nor is it clear how decisions on the introduction of this new vaccine are made. Decentralization processes in many Latin American countries favor decision-making at the local level. Through a qualitative study we explored knowledge regarding the HPV vaccine and the criteria that influence decision-making among local health actors in four regions of Colombia. We conducted a total of 14 in-depths interviews with different actors; for the analysis we performed content analysis. Results indicate that decision-making on the HPV vaccine at the local level has mainly been driven by pressure from local political actors, in a setting where there is low technical knowledge of the vaccine. This increases the risk of initiatives that may foster inequity. Local decisions and initiatives need to be strengthened technically and supported by national-level decisions, guidelines and follow-up.
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NASA Astrophysics Data System (ADS)
Alseddiqi, M.; Mishra, R.; Pislaru, C.
2012-05-01
The paper presents the results from a quality framework to measure the effectiveness of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Technical and Vocational Education (TVE) system in Bahrain. The framework is an extended version of existing information quality frameworks with respect to pedagogical and technological contexts. It incorporates specific pedagogical and technological dimensions as per the Bahrain modern industry requirements. Users' views questionnaire on the effectiveness of the new transition module was distributed to various stakeholders including TVE teachers and students. The aim was to receive critical information in diagnosing, monitoring and evaluating different views and perceptions about the effectiveness of the new module. The analysis categorised the quality dimensions by their relative importance. This was carried out using the principal component analysis available in SPSS. The analysis clearly identified the most important quality dimensions integrated in the new module for SBL-to-WBL transition. It was also apparent that the new module contains workplace proficiencies, prepares TVE students for work placement, provides effective teaching and learning methodologies, integrates innovative technology in the process of learning, meets modern industrial needs, and presents a cooperative learning environment for TVE students. From the principal component analysis finding, to calculate the percentage of relative importance of each factor and its quality dimensions, was significant. The percentage comparison would justify the most important factor as well as the most important quality dimensions. Also, the new, re-arranged quality dimensions from the finding with an extended number of factors tended to improve the extended version of the quality information framework to a revised quality framework.
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Sawyer, Taylor; White, Marjorie; Zaveri, Pavan; Chang, Todd; Ades, Anne; French, Heather; Anderson, JoDee; Auerbach, Marc; Johnston, Lindsay; Kessler, David
2015-08-01
Acquisition of competency in procedural skills is a fundamental goal of medical training. In this Perspective, the authors propose an evidence-based pedagogical framework for procedural skill training. The framework was developed based on a review of the literature using a critical synthesis approach and builds on earlier models of procedural skill training in medicine. The authors begin by describing the fundamentals of procedural skill development. Then, a six-step pedagogical framework for procedural skills training is presented: Learn, See, Practice, Prove, Do, and Maintain. In this framework, procedural skill training begins with the learner acquiring requisite cognitive knowledge through didactic education (Learn) and observation of the procedure (See). The learner then progresses to the stage of psychomotor skill acquisition and is allowed to deliberately practice the procedure on a simulator (Practice). Simulation-based mastery learning is employed to allow the trainee to prove competency prior to performing the procedure on a patient (Prove). Once competency is demonstrated on a simulator, the trainee is allowed to perform the procedure on patients with direct supervision, until he or she can be entrusted to perform the procedure independently (Do). Maintenance of the skill is ensured through continued clinical practice, supplemented by simulation-based training as needed (Maintain). Evidence in support of each component of the framework is presented. Implementation of the proposed framework presents a paradigm shift in procedural skill training. However, the authors believe that adoption of the framework will improve procedural skill training and patient safety.
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A Comprehensive Response: The Role of Nonstate Actors in the Global Plan.
Vitillo, Robert J; Merico, Francesca; Levine, Anna S; Buonocore, Taylor
2017-05-01
Nonstate actors-especially faith-based organizations, other nongovernmental organizations, groups of people living with HIV and AIDS, and private sector organizations-have been deeply committed to supporting governments reach the goals of the Global Plan Towards the Elimination of New HIV Infections Among Children by 2015 and Keeping Their Mothers Alive (Global Plan). This article highlights the role and contributions of select faith-based organizations and some private sector and philanthropic partners, as well as the work of other organizations. The success and impact of the Global Plan was in no small part a result of large-scale country-led collaboration in the provision of health care and implementation of programs. As the world grapples with meeting the ambitious United Nations Joint Programme on AIDS targets to end the AIDS epidemic by 2030-at a time when it also faces many other emerging health crises-the lessons learned from the Global Plan in harnessing the strengths of nonstate partners are the ones that should be replicated, enhanced, and taken to scale.
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ERIC Educational Resources Information Center
Sotomayor-Peterson, Marcela; Wilhelm, Mari S.; Card, Noel A.
2011-01-01
The present study explores actor and partner effects on mothers' and fathers' cognitive stimulation within an Actor-Partner Interdependence Model (APIM). This model allows us to evaluate whether mothers' and fathers' practices are impacted not only by their own experiences but also by their partners' experiences. The APIM treats the couple as the…
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Generic framework for vessel detection and tracking based on distributed marine radar image data
NASA Astrophysics Data System (ADS)
Siegert, Gregor; Hoth, Julian; Banyś, Paweł; Heymann, Frank
2018-04-01
Situation awareness is understood as a key requirement for safe and secure shipping at sea. The primary sensor for maritime situation assessment is still the radar, with the AIS being introduced as supplemental service only. In this article, we present a framework to assess the current situation picture based on marine radar image processing. Essentially, the framework comprises a centralized IMM-JPDA multi-target tracker in combination with a fully automated scheme for track management, i.e., target acquisition and track depletion. This tracker is conditioned on measurements extracted from radar images. To gain a more robust and complete situation picture, we are exploiting the aspect angle diversity of multiple marine radars, by fusing them a priori to the tracking process. Due to the generic structure of the proposed framework, different techniques for radar image processing can be implemented and compared, namely the BLOB detector and SExtractor. The overall framework performance in terms of multi-target state estimation will be compared for both methods based on a dedicated measurement campaign in the Baltic Sea with multiple static and mobile targets given.
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Fish traders as key actors in fisheries: gender and adaptive management.
Fröcklin, Sara; de la Torre-Castro, Maricela; Lindström, Lars; Jiddawi, Narriman S
2013-12-01
This paper fills an important gap towards adaptive management of small-scale fisheries by analyzing the gender dimension of fish trade in Zanzibar, Tanzania. We hypothesize that gender-based differences are present in the fish value chain and to test the hypothesis interviews were performed to analyze: (i) markets, customers, and mobility, (ii) material and economic resources, (iii) traded fish species, (iv) contacts and organizations, and (v) perceptions and experiences. Additionally, management documents were analyzed to examine the degree to which gender is considered. Results show that women traders had less access to social and economic resources, profitable markets, and high-value fish, which resulted in lower income. These gender inequalities are linked, among others, to women's reproductive roles such as childcare and household responsibilities. Formal fisheries management was found to be gender insensitive, showing how a crucial feedback element of adaptive management is missing in Zanzibar's management system, i.e., knowledge about key actors, their needs and challenges.
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A CSP-Based Agent Modeling Framework for the Cougaar Agent-Based Architecture
NASA Technical Reports Server (NTRS)
Gracanin, Denis; Singh, H. Lally; Eltoweissy, Mohamed; Hinchey, Michael G.; Bohner, Shawn A.
2005-01-01
Cognitive Agent Architecture (Cougaar) is a Java-based architecture for large-scale distributed agent-based applications. A Cougaar agent is an autonomous software entity with behaviors that represent a real-world entity (e.g., a business process). A Cougaar-based Model Driven Architecture approach, currently under development, uses a description of system's functionality (requirements) to automatically implement the system in Cougaar. The Communicating Sequential Processes (CSP) formalism is used for the formal validation of the generated system. Two main agent components, a blackboard and a plugin, are modeled as CSP processes. A set of channels represents communications between the blackboard and individual plugins. The blackboard is represented as a CSP process that communicates with every agent in the collection. The developed CSP-based Cougaar modeling framework provides a starting point for a more complete formal verification of the automatically generated Cougaar code. Currently it is used to verify the behavior of an individual agent in terms of CSP properties and to analyze the corresponding Cougaar society.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Lim, Hojun; Abdeljawad, Fadi; Owen, Steven J.
Here, the mechanical properties of materials systems are highly influenced by various features at the microstructural level. The ability to capture these heterogeneities and incorporate them into continuum-scale frameworks of the deformation behavior is considered a key step in the development of complex non-local models of failure. In this study, we present a modeling framework that incorporates physically-based realizations of polycrystalline aggregates from a phase field (PF) model into a crystal plasticity finite element (CP-FE) framework. Simulated annealing via the PF model yields ensembles of materials microstructures with various grain sizes and shapes. With the aid of a novel FEmore » meshing technique, FE discretizations of these microstructures are generated, where several key features, such as conformity to interfaces, and triple junction angles, are preserved. The discretizations are then used in the CP-FE framework to simulate the mechanical response of polycrystalline α-iron. It is shown that the conformal discretization across interfaces reduces artificial stress localization commonly observed in non-conformal FE discretizations. The work presented herein is a first step towards incorporating physically-based microstructures in lieu of the overly simplified representations that are commonly used. In broader terms, the proposed framework provides future avenues to explore bridging models of materials processes, e.g. additive manufacturing and microstructure evolution of multi-phase multi-component systems, into continuum-scale frameworks of the mechanical properties.« less
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Lim, Hojun; Abdeljawad, Fadi; Owen, Steven J.; ...
2016-04-25
Here, the mechanical properties of materials systems are highly influenced by various features at the microstructural level. The ability to capture these heterogeneities and incorporate them into continuum-scale frameworks of the deformation behavior is considered a key step in the development of complex non-local models of failure. In this study, we present a modeling framework that incorporates physically-based realizations of polycrystalline aggregates from a phase field (PF) model into a crystal plasticity finite element (CP-FE) framework. Simulated annealing via the PF model yields ensembles of materials microstructures with various grain sizes and shapes. With the aid of a novel FEmore » meshing technique, FE discretizations of these microstructures are generated, where several key features, such as conformity to interfaces, and triple junction angles, are preserved. The discretizations are then used in the CP-FE framework to simulate the mechanical response of polycrystalline α-iron. It is shown that the conformal discretization across interfaces reduces artificial stress localization commonly observed in non-conformal FE discretizations. The work presented herein is a first step towards incorporating physically-based microstructures in lieu of the overly simplified representations that are commonly used. In broader terms, the proposed framework provides future avenues to explore bridging models of materials processes, e.g. additive manufacturing and microstructure evolution of multi-phase multi-component systems, into continuum-scale frameworks of the mechanical properties.« less
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NASA Astrophysics Data System (ADS)
Laban, Shaban; El-Desouky, Aly
2014-05-01
To achieve a rapid, simple and reliable parallel processing of different types of tasks and big data processing on any compute cluster, a lightweight messaging-based distributed applications processing and workflow execution framework model is proposed. The framework is based on Apache ActiveMQ and Simple (or Streaming) Text Oriented Message Protocol (STOMP). ActiveMQ , a popular and powerful open source persistence messaging and integration patterns server with scheduler capabilities, acts as a message broker in the framework. STOMP provides an interoperable wire format that allows framework programs to talk and interact between each other and ActiveMQ easily. In order to efficiently use the message broker a unified message and topic naming pattern is utilized to achieve the required operation. Only three Python programs and simple library, used to unify and simplify the implementation of activeMQ and STOMP protocol, are needed to use the framework. A watchdog program is used to monitor, remove, add, start and stop any machine and/or its different tasks when necessary. For every machine a dedicated one and only one zoo keeper program is used to start different functions or tasks, stompShell program, needed for executing the user required workflow. The stompShell instances are used to execute any workflow jobs based on received message. A well-defined, simple and flexible message structure, based on JavaScript Object Notation (JSON), is used to build any complex workflow systems. Also, JSON format is used in configuration, communication between machines and programs. The framework is platform independent. Although, the framework is built using Python the actual workflow programs or jobs can be implemented by any programming language. The generic framework can be used in small national data centres for processing seismological and radionuclide data received from the International Data Centre (IDC) of the Preparatory Commission for the Comprehensive Nuclear
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Hernández, Alison R; Hurtig, Anna-Karin; Dahlblom, Kjerstin; San Sebastián, Miguel
2015-10-08
Mid-level health workers are on the front-lines in underserved areas in many LMICs, and their performance is critical for improving the health of vulnerable populations. However, improving performance in low-resource settings is complex and highly dependent on the organizational context of local health systems. This study aims to examine the views of actors from different levels of a regional health system in Guatemala on actions to support the performance of auxiliary nurses, a cadre of mid-level health workers with a prominent role in public sector service delivery. A concept mapping study was carried out to develop an integrated view on organizational support and identify locally relevant strategies for strengthening performance. A total of 93 regional and district managers, and primary and secondary care health workers participated in generating ideas on actions needed to support auxiliary nurses' performance. Ideas were consolidated into 30 action items, which were structured through sorting and rating exercises, involving a total of 135 of managers and health workers. Maps depicting participants' integrated views on domains of action and dynamics in sub-groups' interests were generated using a sequence of multivariate statistical analyses, and interpreted by regional managers. The combined input of health system actors provided a multi-faceted view of actions needed to support performance, which were organized in six domains, including: Communication and coordination, Tools to orient work, Organizational climate of support, Motivation through recognition, Professional development and Skills development. The nature of relationships across hierarchical levels was identified as a cross-cutting theme. Pattern matching and go-zone maps indicated directions for action based on areas of consensus and difference across sub-groups of actors. This study indicates that auxiliary nurses' performance is interconnected with the performance of other health system actors who
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Evidence-Based Administration for Decision Making in the Framework of Knowledge Strategic Management
ERIC Educational Resources Information Center
Del Junco, Julio Garcia; Zaballa, Rafael De Reyna; de Perea, Juan Garcia Alvarez
2010-01-01
Purpose: This paper seeks to present a model based on evidence-based administration (EBA), which aims to facilitate the creation, transformation and diffusion of knowledge in learning organizations. Design/methodology/approach: A theoretical framework is proposed based on EBA and the case method. Accordingly, an empirical study was carried out in…
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The code base for creating versions of the USEEIO model and USEEIO-like models is called the USEEIO Modeling Framework. The framework is built in a combination of R and Python languages.This demonstration provides a brief overview and introduction into the framework.
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NASA Astrophysics Data System (ADS)
Li, Ning; Jiang, Dingding; Pan, Qiliang; Zhao, Jianguo; Zhang, Sufang; Xing, Baoyan; Du, Yaqin; Zhang, Zhong; Liu, Shuxia
2018-05-01
Two enantiomerically 3D chiral polyoxometalate frameworks L,D-[K(H2O)]6[H2GeMo2W10O40]3ṡ40H2O (1a and 1b), were conventionally synthesized and characterized by X-ray single-crystal diffraction, IR spectrum, elemental analysis, powder X-ray diffraction, thermogravimetric analysis, UV-Vis spectroscopy, circular dichroism spectra. Structural analysis indicates that 1a and 1b are enantiomers. The terminal O and μ2-O atoms of Keggin-type polyanion [GeMo2W10O40]4- and {K(H2O)}n segments are connected one another to form 1D chiral helical chains, which are further extended by the achiral Keggin-type [GeMo2W10O40]4- anion to construct 3D 4,8-connected chiral frameworks. The enantiomers were isolated by spontaneous resolution during crystallization without any chiral auxiliary. They represent rare examples of enantiomerically pure chiral polyoxometalate-based inorganic porous frameworks.
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Etemadi, Manal; Gorji, Hasan Abolghasem; Kangarani, Hannaneh Mohammadi; Ashtarian, Kioomars
2017-12-01
The extent of universal health coverage in terms of financial protection is worrisome in Iran. There are challenges in health policies to guarantee financial accessibility to health services, especially for poor people. Various institutions offer support to ensure that the poor have financial access to health services. The aim of this study is to investigate the relationship network among the institutions active in this field. This study is a policy document analysis. It evaluates the country's legal documents in the field of financial support to the poor for healthcare after the Islamic Revolution in Iran. The researchers looked for the documents on the related websites and referred to the related organizations. The social network analysis approach was chosen for the analysis of the documents. Block-modelling and multi-dimensional scaling (MDS) was used to determine the network structures. The UCINET software was employed to analyse the data. Most the main actors of this network are chosen from the government budget. There is no legal communication and cooperation among some of the actors because of their improper position in the network. Seven blocks have been clustered by CONCOR in terms of the actor's degree of similarity. The social distance among the actors of the seven blocks is very short. Power distribution in the field of financial support to the poor has a fragmented structure; however, it is mainly run by a dominant block consisting of The Supreme Council of Welfare and Social Security, Health Insurance Organization, and the Ministry of Health and Medical Education. The financial support for the poor network involves multiple actors. This variety has created a series of confusions in terms of the type, level, and scope of responsibilities among the actors. The weak presence legislative and regulatory institutions and also non-governmental institutions are the main weak points of this network. Copyright © 2017 Elsevier Ltd. All rights reserved.
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A general framework to learn surrogate relevance criterion for atlas based image segmentation
NASA Astrophysics Data System (ADS)
Zhao, Tingting; Ruan, Dan
2016-09-01
Multi-atlas based image segmentation sees great opportunities in the big data era but also faces unprecedented challenges in identifying positive contributors from extensive heterogeneous data. To assess data relevance, image similarity criteria based on various image features widely serve as surrogates for the inaccessible geometric agreement criteria. This paper proposes a general framework to learn image based surrogate relevance criteria to better mimic the behaviors of segmentation based oracle geometric relevance. The validity of its general rationale is verified in the specific context of fusion set selection for image segmentation. More specifically, we first present a unified formulation for surrogate relevance criteria and model the neighborhood relationship among atlases based on the oracle relevance knowledge. Surrogates are then trained to be small for geometrically relevant neighbors and large for irrelevant remotes to the given targets. The proposed surrogate learning framework is verified in corpus callosum segmentation. The learned surrogates demonstrate superiority in inferring the underlying oracle value and selecting relevant fusion set, compared to benchmark surrogates.
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Strained Bedfellows: An Actor-Partner Analysis of Spousal Attachment Insecurity and Sleep Quality.
Kent de Grey, Robert G; Uchino, Bert N; Pietromonaco, Paula R; Hogan, Jasara N; Smith, Timothy W; Cronan, Sierra; Trettevik, Ryan
2018-05-17
The quality of interpersonal ties-especially closer relationships-appears to be associated with physical health outcomes. Sleep is one pathway through which relationships and health appear to be linked, but this has been inadequately investigated in the context of dyadic attachment. The present study examined links between relationship-specific attachment anxiety (which can involve preoccupation with one's partner, negative relationship cognitions, and fear of abandonment) and avoidance (e.g., low emotional investment or intimacy) and sleep quality. Attachment, assessed using the Experience in Close Relationship (ECR), was used to predict Pittsburgh Sleep Quality Inventory (PSQI)-assessed sleep quality in 92 married heterosexual couples via actor-partner interdependence models. Depression was examined as a potential mediator of this association. Consistent with hypotheses, actors' anxious attachment predicted diminished quality of their own sleep, whereas actors' avoidant attachment was unrelated to their own sleep quality. Results further suggested that couples in which both spouses were higher in attachment anxiety experience better sleep quality (b = -0.74, SE = 0.28, p = .0082, 95% CI [-1.287, -0.196]). Conversely, couples in which both spouses were higher in attachment avoidance showed poorer sleep quality (b = 0.56, SE = 0.23, p = .0188, 95% CI [0.095, 1.016]). These effects were found to be independent of marital satisfaction and depression. Some evidence was also consistent with mediation of links between attachment and sleep quality via depression. Results suggest adult romantic attachment and sleep are associated in complex ways, highlighting the importance of dyadic approaches to the study of relationships, sleep, and health.
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An Optimization-Based State Estimatioin Framework for Large-Scale Natural Gas Networks
DOE Office of Scientific and Technical Information (OSTI.GOV)
Jalving, Jordan; Zavala, Victor M.
We propose an optimization-based state estimation framework to track internal spacetime flow and pressure profiles of natural gas networks during dynamic transients. We find that the estimation problem is ill-posed (because of the infinite-dimensional nature of the states) and that this leads to instability of the estimator when short estimation horizons are used. To circumvent this issue, we propose moving horizon strategies that incorporate prior information. In particular, we propose a strategy that initializes the prior using steady-state information and compare its performance against a strategy that does not initialize the prior. We find that both strategies are capable ofmore » tracking the state profiles but we also find that superior performance is obtained with steady-state prior initialization. We also find that, under the proposed framework, pressure sensor information at junctions is sufficient to track the state profiles. We also derive approximate transport models and show that some of these can be used to achieve significant computational speed-ups without sacrificing estimation performance. We show that the estimator can be easily implemented in the graph-based modeling framework Plasmo.jl and use a multipipeline network study to demonstrate the developments.« less
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An openstack-based flexible video transcoding framework in live
NASA Astrophysics Data System (ADS)
Shi, Qisen; Song, Jianxin
2017-08-01
With the rapid development of mobile live business, transcoding HD video is often a challenge for mobile devices due to their limited processing capability and bandwidth-constrained network connection. For live service providers, it's wasteful for resources to delay lots of transcoding server because some of them are free to work sometimes. To deal with this issue, this paper proposed an Openstack-based flexible transcoding framework to achieve real-time video adaption for mobile device and make computing resources used efficiently. To this end, we introduced a special method of video stream splitting and VMs resource scheduling based on access pressure prediction,which is forecasted by an AR model.
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A Component-Based FPGA Design Framework for Neuronal Ion Channel Dynamics Simulations
Mak, Terrence S. T.; Rachmuth, Guy; Lam, Kai-Pui; Poon, Chi-Sang
2008-01-01
Neuron-machine interfaces such as dynamic clamp and brain-implantable neuroprosthetic devices require real-time simulations of neuronal ion channel dynamics. Field Programmable Gate Array (FPGA) has emerged as a high-speed digital platform ideal for such application-specific computations. We propose an efficient and flexible component-based FPGA design framework for neuronal ion channel dynamics simulations, which overcomes certain limitations of the recently proposed memory-based approach. A parallel processing strategy is used to minimize computational delay, and a hardware-efficient factoring approach for calculating exponential and division functions in neuronal ion channel models is used to conserve resource consumption. Performances of the various FPGA design approaches are compared theoretically and experimentally in corresponding implementations of the AMPA and NMDA synaptic ion channel models. Our results suggest that the component-based design framework provides a more memory economic solution as well as more efficient logic utilization for large word lengths, whereas the memory-based approach may be suitable for time-critical applications where a higher throughput rate is desired. PMID:17190033
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A multi-fidelity framework for physics based rotor blade simulation and optimization
NASA Astrophysics Data System (ADS)
Collins, Kyle Brian
with lower fidelity models. This thesis documents the development of automated low and high fidelity physics based rotor simulation frameworks. The low fidelity framework uses a comprehensive code with simplified aerodynamics. The high fidelity model uses a parallel processor capable CFD/CSD methodology. Both low and high fidelity frameworks include an aeroacoustic simulation for prediction of noise. A synergistic process is developed that uses both the low and high fidelity frameworks together to build approximate models of important high fidelity metrics as functions of certain design variables. To test the process, a 4-bladed hingeless rotor model is used as a baseline. The design variables investigated include tip geometry and spanwise twist distribution. Approximation models are built for metrics related to rotor efficiency and vibration using the results from 60+ high fidelity (CFD/CSD) experiments and 400+ low fidelity experiments. Optimization using the approximation models found the Pareto Frontier anchor points, or the design having maximum rotor efficiency and the design having minimum vibration. Various Pareto generation methods are used to find designs on the frontier between these two anchor designs. When tested in the high fidelity framework, the Pareto anchor designs are shown to be very good designs when compared with other designs from the high fidelity database. This provides evidence that the process proposed has merit. Ultimately, this process can be utilized by industry rotor designers with their existing tools to bring high fidelity analysis into the preliminary design stage of rotors. In conclusion, the methods developed and documented in this thesis have made several novel contributions. First, an automated high fidelity CFD based forward flight simulation framework has been built for use in preliminary design optimization. The framework was built around an integrated, parallel processor capable CFD/CSD/AA process. Second, a novel method of
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Shin, Sung Hee; Ko, Suk Jeong; Yang, Yu Jeong; Oh, Hyun Su; Jang, Mi Young; Choi, Joong Myung
2014-06-01
This study was done to compare families of boys or of girls for actor and partner effect of stress, depression and parent-adolescent communication as perceived by mother, father and adolescent on adolescents' suicidal ideation. Participants were 183 families (104 boys' families, 79 girls' families) who met eligibility criteria. All measures were self-administered. Data were analyzed using SPSS 18.0 and AMOS 18.0 program. In boys' families, boys' depression and communication with father showed actor effect on boys' suicidal ideation. Boys' stress showed indirect effect on boys' suicidal ideation through communication with father and boys' depression. Mothers' depression showed indirect partner effect on boys' suicidal ideation through boys' depression. In families of girls, girls' depression and stress showed actor effects on girls' suicidal ideation. Girls' communication with mother showed indirect effects through girls' depression. Also girls' stress showed indirect effect through girls' depression. Stress in mothers and/or fathers showed partner effect on girls' suicidal ideation. To intervene in adolescents' suicidal ideation and promote adolescents' mental health, programs should be developed differently according to gender and based on parent's psychological states.
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SQL Collaborative Learning Framework Based on SOA
NASA Astrophysics Data System (ADS)
Armiati, S.; Awangga, RM
2018-04-01
The research is focused on designing collaborative learning-oriented framework fulfilment service in teaching SQL Oracle 10g. Framework built a foundation of academic fulfilment service performed by a layer of the working unit in collaboration with Program Studi Manajemen Informatika. In the design phase defined what form of collaboration models and information technology proposed for Program Studi Manajemen Informatika by using a framework of collaboration inspired by the stages of modelling a Service Oriented Architecture (SOA). Stages begin with analyzing subsystems, this activity is used to determine subsystem involved and reliance as well as workflow between the subsystems. After the service can be identified, the second phase is designing the component specifications, which details the components that are implemented in the service to include the data, rules, services, profiles can be configured, and variations. The third stage is to allocate service, set the service to the subsystems that have been identified, and its components. Implementation framework contributes to the teaching guides and application architecture that can be used as a landing realize an increase in service by applying information technology.
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The role of advanced nursing in lung cancer: A framework based development.
Serena, A; Castellani, P; Fucina, N; Griesser, A-C; Jeanmonod, J; Peters, S; Eicher, M
2015-12-01
Advanced Practice Lung Cancer Nurses (APLCN) are well-established in several countries but their role has yet to be established in Switzerland. Developing an innovative nursing role requires a structured approach to guide successful implementation and to meet the overarching goal of improved nursing sensitive patient outcomes. The "Participatory, Evidence-based, Patient-focused process, for guiding the development, implementation, and evaluation of advanced practice nursing" (PEPPA framework) is one approach that was developed in the context of the Canadian health system. The purpose of this article is to describe the development of an APLCN model at a Swiss Academic Medical Center as part of a specialized Thoracic Cancer Center and to evaluate the applicability of PEPPA framework in this process. In order to develop and implement the APLCN role, we applied the first seven phases of the PEPPA framework. This article spreads the applicability of the PEPPA framework for an APLCN development. This framework allowed us to i) identify key components of an APLCN model responsive to lung cancer patients' health needs, ii) identify role facilitators and barriers, iii) implement the APLCN role and iv) design a feasibility study of this new role. The PEPPA framework provides a structured process for implementing novel Advanced Practice Nursing roles in a local context, particularly where such roles are in their infancy. Two key points in the process include assessing patients' health needs and involving key stakeholders. Copyright © 2015 Elsevier Ltd. All rights reserved.
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Kamio, Shingo; Komine, Futoshi; Taguchi, Kohei; Iwasaki, Taro; Blatz, Markus B; Matsumura, Hideo
2015-12-01
To evaluate the effects of framework design and layering material on the fracture strength of implant-supported zirconia-based molar crowns. Sixty-six titanium abutments (GingiHue Post) were tightened onto dental implants (Implant Lab Analog). These abutment-implant complexes were randomly divided into three groups (n = 22) according to the design of the zirconia framework (Katana), namely, uniform-thickness (UNI), anatomic (ANA), and supported anatomic (SUP) designs. The specimens in each design group were further divided into two subgroups (n = 11): zirconia-based all-ceramic restorations (ZAC group) and zirconia-based restorations with an indirect composite material (Estenia C&B) layered onto the zirconia framework (ZIC group). All crowns were cemented on implant abutments, after which the specimens were tested for fracture resistance. The data were analyzed with the Kruskal-Wallis test and the Mann-Whitney U-test with the Bonferroni correction (α = 0.05). The following mean fracture strength values (kN) were obtained in UNI design, ANA design, and SUP design, respectively: Group ZAC, 3.78, 6.01, 6.50 and Group ZIC, 3.15, 5.65, 5.83. In both the ZAC and ZIC groups, fracture strength was significantly lower for the UNI design than the other two framework designs (P = 0.001). Fracture strength did not significantly differ (P > 0.420) between identical framework designs in the ZAC and ZIC groups. A framework design with standardized layer thickness and adequate support of veneer by zirconia frameworks, as in the ANA and SUP designs, increases fracture resistance in implant-supported zirconia-based restorations under conditions of chewing attrition. Indirect composite material and porcelain perform similarly as layering materials on zirconia frameworks. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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Padula, William V; Mishra, Manish K; Makic, Mary Beth F; Valuck, Robert J
2014-06-01
To enhance the learner's competence with knowledge about a framework of quality improvement (QI) interventions to implement evidence-based practices for pressure ulcer (PrU) prevention. This continuing education activity is intended for physicians and nurses with an interest in skin and wound care. After participating in this educational activity, the participant should be better able to:1. Summarize the process of creating and initiating the best-practice framework of QI for PrU prevention.2. Identify the domains and QI interventions for the best-practice framework of QI for PrU prevention. Pressure ulcer (PrU) prevention is a priority issue in US hospitals. The National Pressure Ulcer Advisory Panel endorses an evidence-based practice (EBP) protocol to help prevent PrUs. Effective implementation of EBPs requires systematic change of existing care units. Quality improvement interventions offer a mechanism of change to existing structures in order to effectively implement EBPs for PrU prevention. The best-practice framework developed by Nelson et al is a useful model of quality improvement interventions that targets process improvement in 4 domains: leadership, staff, information and information technology, and performance and improvement. At 2 academic medical centers, the best-practice framework was shown to physicians, nurses, and health services researchers. Their insight was used to modify the best-practice framework as a reference tool for quality improvement interventions in PrU prevention. The revised framework includes 25 elements across 4 domains. Many of these elements support EBPs for PrU prevention, such as updates in PrU staging and risk assessment. The best-practice framework offers a reference point to initiating a bundle of quality improvement interventions in support of EBPs. Hospitals and clinicians tasked with quality improvement efforts can use this framework to problem-solve PrU prevention and other critical issues.
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Wee, Alvin G; Zimmerman, Lani M; Pullen, Carol H; Allen, Carl M; Lambert, Paul M; Paskett, Electra D
2016-03-01
Patients at risk of developing oral and/or oropharyngeal cancer (OPC) are more likely to see primary care providers (PCPs) than a dentist. Many PCPs do not regularly perform oral cancer examination (OCE). The purpose of this study was to design a web-based educational program based on a behavioral framework to encourage PCPs to conduct OCE. PCPs were solicited to provide feedback on the program and to evaluate their short-term knowledge. The integrated behavioral model was used to design the program. Fifteen PCPs (five in each group: physicians, physician assistants, and nurse practitioners) reviewed the program and took a posttest: (1) index of knowledge of risk factors for oral cancer (RiskOC) and (2) index of knowledge of diagnostic procedures for oral cancer (DiagOC). Findings from the process evaluation were mainly positive, with comments on the length of the program comprising the ten negative comments. No significant difference among groups of PCPs (physicians, physician assistants, and nurse practitioners) was detected for DiagOC (p = 0.43) or RiskOC (p = 0.201). A program on OPC for PCPs should be less than 40 min. Postviewing knowledge outcomes were similar for all PCPs. The web-based program on OPC based on a behavioral framework could have similar short-term knowledge outcomes for all PCPs and may increase the number of PCPs performing OCEs.
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ENGAGE: A Game Based Learning and Problem Solving Framework
2012-08-15
multiplayer card game Creature Capture now supports an offline multiplayer mode (sharing a single computer), in response to feedback from teachers that a...Planetopia overworld will be ready for use by a number of physical schools as well as integrated into multiple online teaching resources. The games will be...From - To) 7/1/2012 – 7/31/2012 4. TITLE AND SUBTITLE ENGAGE: A Game Based Learning and Problem Solving Framework 5a. CONTRACT NUMBER N/A 5b
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Arcade: A Web-Java Based Framework for Distributed Computing
NASA Technical Reports Server (NTRS)
Chen, Zhikai; Maly, Kurt; Mehrotra, Piyush; Zubair, Mohammad; Bushnell, Dennis M. (Technical Monitor)
2000-01-01
Distributed heterogeneous environments are being increasingly used to execute a variety of large size simulations and computational problems. We are developing Arcade, a web-based environment to design, execute, monitor, and control distributed applications. These targeted applications consist of independent heterogeneous modules which can be executed on a distributed heterogeneous environment. In this paper we describe the overall design of the system and discuss the prototype implementation of the core functionalities required to support such a framework.
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Role of Actors and Gender Factor in Disaster Management
NASA Astrophysics Data System (ADS)
Gundogdu, Oguz; Isik, Ozden; Ozcep, Ferhat; Goksu, Goksel
2014-05-01
In Turkey, the discussions in the modern sense about disaster management begun after the 1992 Erzincan and the 1995 Dinar earthquakes, faulting in terms of features and effects. These earthquakes are "Urban Earthquakes'' with effects and faulting charectristics, and have led to radical changes in terms of disaster and disaster management. Disaster Management, to become a science in the world, but with the 1999 Izmit and Duzce earthquakes in Turkey has begun to take seriously on the agenda. Firstly, such as Civil Defense and Red Crescent organizations, by transforming its own, have entered into a new organizing effort. By these earthquakes, NGO's have contributed the search-rescue efforts in the field and to the process of normalization of life. Because "the authority and responsibilities" of NGO's could not be determined, and could not be in planning and scenario studies, we faced the problems. Thus, to the citizens of our country-specific "voluntary" has not benefited enough from the property. The most important development in disaster management in 2009, the Disaster and Emergency Management Presidency (AFAD) has been the establishment. However, in terms of coordination and accreditation to the target point has been reached yet. Another important issue in disaster management (need to be addressed along with disaster actors) is the role of women in disasters. After the Golcuk Earthquake, successful field works of women and women's victimization has attracted attention in two different directions. Gender-sensitive policies should be noted by the all disaster actors due to the importance of the mitigation, and these policies should take place in laws, regulations and planning.
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Creating "Intelligent" Ensemble Averages Using a Process-Based Framework
NASA Astrophysics Data System (ADS)
Baker, Noel; Taylor, Patrick
2014-05-01
The CMIP5 archive contains future climate projections from over 50 models provided by dozens of modeling centers from around the world. Individual model projections, however, are subject to biases created by structural model uncertainties. As a result, ensemble averaging of multiple models is used to add value to individual model projections and construct a consensus projection. Previous reports for the IPCC establish climate change projections based on an equal-weighted average of all model projections. However, individual models reproduce certain climate processes better than other models. Should models be weighted based on performance? Unequal ensemble averages have previously been constructed using a variety of mean state metrics. What metrics are most relevant for constraining future climate projections? This project develops a framework for systematically testing metrics in models to identify optimal metrics for unequal weighting multi-model ensembles. The intention is to produce improved ("intelligent") unequal-weight ensemble averages. A unique aspect of this project is the construction and testing of climate process-based model evaluation metrics. A climate process-based metric is defined as a metric based on the relationship between two physically related climate variables—e.g., outgoing longwave radiation and surface temperature. Several climate process metrics are constructed using high-quality Earth radiation budget data from NASA's Clouds and Earth's Radiant Energy System (CERES) instrument in combination with surface temperature data sets. It is found that regional values of tested quantities can vary significantly when comparing the equal-weighted ensemble average and an ensemble weighted using the process-based metric. Additionally, this study investigates the dependence of the metric weighting scheme on the climate state using a combination of model simulations including a non-forced preindustrial control experiment, historical simulations, and
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ERIC Educational Resources Information Center
García, Amelia Molina; Lara, José Luis Horacio Andrade
2016-01-01
In this paper we present some thoughts on the epistemological framework of comparative studies in education. We present some concepts on the internationalization, globalization and inter-relation networks, based on Jürgen Schriewer, Immanuel Wallerstein, and Norbert Elias's theoretical concepts. These reflections were built within the framework of…
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Categorizing "Others": The Segmentation of Other Actors for "Faith in Others' Efficacy (FIO)"
ERIC Educational Resources Information Center
Ng, Chi Kwan; D'Souza, Clare
2016-01-01
This conceptual paper provides an innovative categorization of "others" for the variable of "faith in others (FIO)". Adopted by pro-environmental and sustainability literature, FIO refers to faith in the efficacy of other actors. Examination and integration of theories on sustainable pro-environmental behavior leads to the…
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The Promise of the New Actor Training--A Professional Challenge for Teachers.
ERIC Educational Resources Information Center
Gross, Roger
1982-01-01
In recent years, theatre faculty have come to understand that advanced degrees do not guarantee that a person is qualified for the subtle, complex, and dangerous job of teaching acting, and that actor training has more to do with the problems of human behavior than with the theatre. The fundamental problem with acting is the fear that controls…
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A Framework for Performing Verification and Validation in Reuse Based Software Engineering
NASA Technical Reports Server (NTRS)
Addy, Edward A.
1997-01-01
Verification and Validation (V&V) is currently performed during application development for many systems, especially safety-critical and mission- critical systems. The V&V process is intended to discover errors, especially errors related to critical processing, as early as possible during the development process. The system application provides the context under which the software artifacts are validated. This paper describes a framework that extends V&V from an individual application system to a product line of systems that are developed within an architecture-based software engineering environment. This framework includes the activities of traditional application-level V&V, and extends these activities into domain engineering and into the transition between domain engineering and application engineering. The framework includes descriptions of the types of activities to be performed during each of the life-cycle phases, and provides motivation for the activities.
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Beard, David; Hamilton, David; Davies, Loretta; Cook, Jonathan; Hirst, Allison; McCulloch, Peter; Paez, Arsenio
2018-02-01
The IDEAL framework is an established method for initial and ongoing evaluations of innovation and practice for complex health care interventions. First derived for surgical sciences and embedded at a global level for evaluating surgery/surgical devices, the IDEAL framework is based on the principle that innovation and evaluation in clinical practice can, and should, evolve together in an ordered manner: from conception to development and then to validation by appropriate clinical studies and, finally, longer-term follow-up. This framework is highly suited to other complex, nonpharmacological interventions, such as physical therapist interventions. This perspective outlines the application of IDEAL to physical therapy in the new IDEAL-Physio framework. The IDEAL-Physio framework comprises 5 stages. In stage 1, the idea phase, formal data collection should begin. Stage 2a is the phase for iterative improvement and adjustment with thorough data recording. Stage 2b involves the onset of formal evaluation using systematically collected group or cohort data. Stage 3 is the phase for formal comparative assessment of treatment, usually involving randomized studies. Stage 4 involves long-term follow-up. The IDEAL-Physio framework is recommended as a method for guiding and evaluating both innovation and practice in physical therapy, with the overall goal of providing better evidence-based care. © 2017 American Physical Therapy Association.
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Actor-network theory: a tool to support ethical analysis of commercial genetic testing.
Williams-Jones, Bryn; Graham, Janice E
2003-12-01
Social, ethical and policy analysis of the issues arising from gene patenting and commercial genetic testing is enhanced by the application of science and technology studies, and Actor-Network Theory (ANT) in particular. We suggest the potential for transferring ANT's flexible nature to an applied heuristic methodology for gathering empirical information and for analysing the complex networks involved in the development of genetic technologies. Three concepts are explored in this paper--actor-networks, translation, and drift--and applied to the case of Myriad Genetics and their commercial BRACAnalysis genetic susceptibility test for hereditary breast cancer. Treating this test as an active participant in socio-technical networks clarifies the extent to which it interacts with, shapes and is shaped by people, other technologies, and institutions. Such an understanding enables more sophisticated and nuanced technology assessment, academic analysis, as well as public debate about the social, ethical and policy implications of the commercialization of new genetic technologies.
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A Query Expansion Framework in Image Retrieval Domain Based on Local and Global Analysis
Rahman, M. M.; Antani, S. K.; Thoma, G. R.
2011-01-01
We present an image retrieval framework based on automatic query expansion in a concept feature space by generalizing the vector space model of information retrieval. In this framework, images are represented by vectors of weighted concepts similar to the keyword-based representation used in text retrieval. To generate the concept vocabularies, a statistical model is built by utilizing Support Vector Machine (SVM)-based classification techniques. The images are represented as “bag of concepts” that comprise perceptually and/or semantically distinguishable color and texture patches from local image regions in a multi-dimensional feature space. To explore the correlation between the concepts and overcome the assumption of feature independence in this model, we propose query expansion techniques in the image domain from a new perspective based on both local and global analysis. For the local analysis, the correlations between the concepts based on the co-occurrence pattern, and the metrical constraints based on the neighborhood proximity between the concepts in encoded images, are analyzed by considering local feedback information. We also analyze the concept similarities in the collection as a whole in the form of a similarity thesaurus and propose an efficient query expansion based on the global analysis. The experimental results on a photographic collection of natural scenes and a biomedical database of different imaging modalities demonstrate the effectiveness of the proposed framework in terms of precision and recall. PMID:21822350
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DOT National Transportation Integrated Search
2016-04-01
In this study, we developed an adaptive signal control (ASC) framework for connected vehicles (CVs) using agent-based modeling technique. : The proposed framework consists of two types of agents: 1) vehicle agents (VAs); and 2) signal controller agen...
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2011-01-01
Background A framework for high quality in post graduate training has been defined by the World Federation of Medical Education (WFME). The objective of this paper is to perform a systematic review of reviews to find current evidence regarding aspects of quality of post graduate training and to organise the results following the 9 areas of the WFME framework. Methods The systematic literature review was conducted in 2009 in Medline Ovid, EMBASE, ERIC and RDRB databases from 1995 onward. The reviews were selected by two independent researchers and a quality appraisal was based on the SIGN tool. Results 31 reviews met inclusion criteria. The majority of the reviews provided information about the training process (WFME area 2), the assessment of trainees (WFME area 3) and the trainees (WFME area 4). One review covered the area 8 'governance and administration'. No review was found in relation to the mission and outcomes, the evaluation of the training process and the continuous renewal (respectively areas 1, 7 and 9 of the WFME framework). Conclusions The majority of the reviews provided information about the training process, the assessment of trainees and the trainees. Indicators used for quality assessment purposes of post graduate training should be based on this evidence but further research is needed for some areas in particular to assess the quality of the training process. PMID:21977898
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The Mutable Nature of Risk and Acceptability: A Hybrid Risk Governance Framework.
Wong, Catherine Mei Ling
2015-11-01
This article focuses on the fluid nature of risk problems and the challenges it presents to establishing acceptability in risk governance. It introduces an actor-network theory (ANT) perspective as a way to deal with the mutable nature of risk controversies and the configuration of stakeholders. To translate this into a practicable framework, the article proposes a hybrid risk governance framework that combines ANT with integrative risk governance, deliberative democracy, and responsive regulation. This addresses a number of the limitations in existing risk governance models, including: (1) the lack of more substantive public participation throughout the lifecycle of a project; (2) hijacking of deliberative forums by particular groups; and (3) the treatment of risk problems and their associated stakeholders as immutable entities. The framework constitutes a five-stage process of co-selection, co-design, co-planning, and co-regulation to facilitate the co-production of collective interests and knowledge, build capacities, and strengthen accountability in the process. The aims of this article are twofold: conceptually, it introduces a framework of risk governance that accounts for the mutable nature of risk problems and configuration of stakeholders. In practice, this article offers risk managers and practitioners of risk governance a set of procedures with which to operationalize this conceptual approach to risk and stakeholder engagement. © 2015 Society for Risk Analysis.