actor critic algorithm: Topics by Science.gov

Sample records for actor critic algorithm

Efficient model learning methods for actor-critic control.

PubMed

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.
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.
Formal Specification and Validation of a Hybrid Connectivity Restoration Algorithm for Wireless Sensor and Actor Networks †

PubMed Central

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.
Efficient Actor Recovery Paradigm for Wireless Sensor and Actor Networks

PubMed Central

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
Efficient Actor Recovery Paradigm for Wireless Sensor and Actor Networks.

PubMed

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.
A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives.

PubMed

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.
A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives

PubMed Central

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
An Autonomous Connectivity Restoration Algorithm Based on Finite State Machine for Wireless Sensor-Actor Networks.

PubMed

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.
An Autonomous Connectivity Restoration Algorithm Based on Finite State Machine for Wireless Sensor-Actor Networks

PubMed Central

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
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.
Brain-Machine Interface control of a robot arm using actor-critic rainforcement learning.

PubMed

Pohlmeyer, Eric A; Mahmoudi, Babak; Geng, Shijia; Prins, Noeline; Sanchez, Justin C

2012-01-01

Here we demonstrate how a marmoset monkey can use a reinforcement learning (RL) Brain-Machine Interface (BMI) to effectively control the movements of a robot arm for a reaching task. In this work, an actor-critic RL algorithm used neural ensemble activity in the monkey's motor cortext to control the robot movements during a two-target decision task. This novel approach to decoding offers unique advantages for BMI control applications. Compared to supervised learning decoding methods, the actor-critic RL algorithm does not require an explicit set of training data to create a static control model, but rather it incrementally adapts the model parameters according to its current performance, in this case requiring only a very basic feedback signal. We show how this algorithm achieved high performance when mapping the monkey's neural states (94%) to robot actions, and only needed to experience a few trials before obtaining accurate real-time control of the robot arm. Since RL methods responsively adapt and adjust their parameters, they can provide a method to create BMIs that are robust against perturbations caused by changes in either the neural input space or the output actions they generate under different task requirements or goals.
Adaptive optimal control of unknown constrained-input systems using policy iteration and neural networks.

PubMed

Modares, Hamidreza; Lewis, Frank L; Naghibi-Sistani, Mohammad-Bagher

2013-10-01

This paper presents an online policy iteration (PI) algorithm to learn the continuous-time optimal control solution for unknown constrained-input systems. The proposed PI algorithm is implemented on an actor-critic structure where two neural networks (NNs) are tuned online and simultaneously to generate the optimal bounded control policy. The requirement of complete knowledge of the system dynamics is obviated by employing a novel NN identifier in conjunction with the actor and critic NNs. It is shown how the identifier weights estimation error affects the convergence of the critic NN. A novel learning rule is developed to guarantee that the identifier weights converge to small neighborhoods of their ideal values exponentially fast. To provide an easy-to-check persistence of excitation condition, the experience replay technique is used. That is, recorded past experiences are used simultaneously with current data for the adaptation of the identifier weights. Stability of the whole system consisting of the actor, critic, system state, and system identifier is guaranteed while all three networks undergo adaptation. Convergence to a near-optimal control law is also shown. The effectiveness of the proposed method is illustrated with a simulation example.
Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI.

PubMed

Colas, Jaron T; Pauli, Wolfgang M; Larsen, Tobias; Tyszka, J Michael; O'Doherty, John P

2017-10-01

Prediction-error signals consistent with formal models of "reinforcement learning" (RL) have repeatedly been found within dopaminergic nuclei of the midbrain and dopaminoceptive areas of the striatum. However, the precise form of the RL algorithms implemented in the human brain is not yet well determined. Here, we created a novel paradigm optimized to dissociate the subtypes of reward-prediction errors that function as the key computational signatures of two distinct classes of RL models-namely, "actor/critic" models and action-value-learning models (e.g., the Q-learning model). The state-value-prediction error (SVPE), which is independent of actions, is a hallmark of the actor/critic architecture, whereas the action-value-prediction error (AVPE) is the distinguishing feature of action-value-learning algorithms. To test for the presence of these prediction-error signals in the brain, we scanned human participants with a high-resolution functional magnetic-resonance imaging (fMRI) protocol optimized to enable measurement of neural activity in the dopaminergic midbrain as well as the striatal areas to which it projects. In keeping with the actor/critic model, the SVPE signal was detected in the substantia nigra. The SVPE was also clearly present in both the ventral striatum and the dorsal striatum. However, alongside these purely state-value-based computations we also found evidence for AVPE signals throughout the striatum. These high-resolution fMRI findings suggest that model-free aspects of reward learning in humans can be explained algorithmically with RL in terms of an actor/critic mechanism operating in parallel with a system for more direct action-value learning.
Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI

PubMed Central

Pauli, Wolfgang M.; Larsen, Tobias; Tyszka, J. Michael; O’Doherty, John P.

2017-01-01

Prediction-error signals consistent with formal models of “reinforcement learning” (RL) have repeatedly been found within dopaminergic nuclei of the midbrain and dopaminoceptive areas of the striatum. However, the precise form of the RL algorithms implemented in the human brain is not yet well determined. Here, we created a novel paradigm optimized to dissociate the subtypes of reward-prediction errors that function as the key computational signatures of two distinct classes of RL models—namely, “actor/critic” models and action-value-learning models (e.g., the Q-learning model). The state-value-prediction error (SVPE), which is independent of actions, is a hallmark of the actor/critic architecture, whereas the action-value-prediction error (AVPE) is the distinguishing feature of action-value-learning algorithms. To test for the presence of these prediction-error signals in the brain, we scanned human participants with a high-resolution functional magnetic-resonance imaging (fMRI) protocol optimized to enable measurement of neural activity in the dopaminergic midbrain as well as the striatal areas to which it projects. In keeping with the actor/critic model, the SVPE signal was detected in the substantia nigra. The SVPE was also clearly present in both the ventral striatum and the dorsal striatum. However, alongside these purely state-value-based computations we also found evidence for AVPE signals throughout the striatum. These high-resolution fMRI findings suggest that model-free aspects of reward learning in humans can be explained algorithmically with RL in terms of an actor/critic mechanism operating in parallel with a system for more direct action-value learning. PMID:29049406
A policy iteration approach to online optimal control of continuous-time constrained-input systems.

PubMed

Modares, Hamidreza; Naghibi Sistani, Mohammad-Bagher; Lewis, Frank L

2013-09-01

This paper is an effort towards developing an online learning algorithm to find the optimal control solution for continuous-time (CT) systems subject to input constraints. The proposed method is based on the policy iteration (PI) technique which has recently evolved as a major technique for solving optimal control problems. Although a number of online PI algorithms have been developed for CT systems, none of them take into account the input constraints caused by actuator saturation. In practice, however, ignoring these constraints leads to performance degradation or even system instability. In this paper, to deal with the input constraints, a suitable nonquadratic functional is employed to encode the constraints into the optimization formulation. Then, the proposed PI algorithm is implemented on an actor-critic structure to solve the Hamilton-Jacobi-Bellman (HJB) equation associated with this nonquadratic cost functional in an online fashion. That is, two coupled neural network (NN) approximators, namely an actor and a critic are tuned online and simultaneously for approximating the associated HJB solution and computing the optimal control policy. The critic is used to evaluate the cost associated with the current policy, while the actor is used to find an improved policy based on information provided by the critic. Convergence to a close approximation of the HJB solution as well as stability of the proposed feedback control law are shown. Simulation results of the proposed method on a nonlinear CT system illustrate the effectiveness of the proposed approach. Copyright © 2013 ISA. All rights reserved.
Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning

PubMed Central

Fu, QiMing

2016-01-01

To improve the convergence rate and the sample efficiency, two efficient learning methods AC-HMLP and RAC-HMLP (AC-HMLP with ℓ 2-regularization) are proposed by combining actor-critic algorithm with hierarchical model learning and planning. The hierarchical models consisting of the local and the global models, which are learned at the same time during learning of the value function and the policy, are approximated by local linear regression (LLR) and linear function approximation (LFA), respectively. Both the local model and the global model are applied to generate samples for planning; the former is used only if the state-prediction error does not surpass the threshold at each time step, while the latter is utilized at the end of each episode. The purpose of taking both models is to improve the sample efficiency and accelerate the convergence rate of the whole algorithm through fully utilizing the local and global information. Experimentally, AC-HMLP and RAC-HMLP are compared with three representative algorithms on two Reinforcement Learning (RL) benchmark problems. The results demonstrate that they perform best in terms of convergence rate and sample efficiency. PMID:27795704
Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning.

PubMed

Zhong, Shan; Liu, Quan; Fu, QiMing

2016-01-01

To improve the convergence rate and the sample efficiency, two efficient learning methods AC-HMLP and RAC-HMLP (AC-HMLP with ℓ 2 -regularization) are proposed by combining actor-critic algorithm with hierarchical model learning and planning. The hierarchical models consisting of the local and the global models, which are learned at the same time during learning of the value function and the policy, are approximated by local linear regression (LLR) and linear function approximation (LFA), respectively. Both the local model and the global model are applied to generate samples for planning; the former is used only if the state-prediction error does not surpass the threshold at each time step, while the latter is utilized at the end of each episode. The purpose of taking both models is to improve the sample efficiency and accelerate the convergence rate of the whole algorithm through fully utilizing the local and global information. Experimentally, AC-HMLP and RAC-HMLP are compared with three representative algorithms on two Reinforcement Learning (RL) benchmark problems. The results demonstrate that they perform best in terms of convergence rate and sample efficiency.
Impedance learning for robotic contact tasks using natural actor-critic algorithm.

PubMed

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.
Reinforcement learning for a biped robot based on a CPG-actor-critic method.

PubMed

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.
Neuromuscular control of the point to point and oscillatory movements of a sagittal arm with the actor-critic reinforcement learning method.

PubMed

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.

Actor-critic-based optimal tracking for partially unknown nonlinear discrete-time systems.

PubMed

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.
Continuous-time adaptive critics.

PubMed

Hanselmann, Thomas; Noakes, Lyle; Zaknich, Anthony

2007-05-01

A continuous-time formulation of an adaptive critic design (ACD) is investigated. Connections to the discrete case are made, where backpropagation through time (BPTT) and real-time recurrent learning (RTRL) are prevalent. Practical benefits are that this framework fits in well with plant descriptions given by differential equations and that any standard integration routine with adaptive step-size does an adaptive sampling for free. A second-order actor adaptation using Newton's method is established for fast actor convergence for a general plant and critic. Also, a fast critic update for concurrent actor-critic training is introduced to immediately apply necessary adjustments of critic parameters induced by actor updates to keep the Bellman optimality correct to first-order approximation after actor changes. Thus, critic and actor updates may be performed at the same time until some substantial error build up in the Bellman optimality or temporal difference equation, when a traditional critic training needs to be performed and then another interval of concurrent actor-critic training may resume.
Autonomous reinforcement learning with experience replay.

PubMed

Wawrzyński, Paweł; Tanwani, Ajay Kumar

2013-05-01

This paper considers the issues of efficiency and autonomy that are required to make reinforcement learning suitable for real-life control tasks. A real-time reinforcement learning algorithm is presented that repeatedly adjusts the control policy with the use of previously collected samples, and autonomously estimates the appropriate step-sizes for the learning updates. The algorithm is based on the actor-critic with experience replay whose step-sizes are determined on-line by an enhanced fixed point algorithm for on-line neural network training. An experimental study with simulated octopus arm and half-cheetah demonstrates the feasibility of the proposed algorithm to solve difficult learning control problems in an autonomous way within reasonably short time. Copyright © 2012 Elsevier Ltd. All rights reserved.
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.
An Actor-Critic based controller for glucose regulation in type 1 diabetes.

PubMed

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.
Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control.

PubMed

Luo, Biao; Liu, Derong; Wu, Huai-Ning; Wang, Ding; Lewis, Frank L

2017-10-01

The model-free optimal control problem of general discrete-time nonlinear systems is considered in this paper, and a data-based policy gradient adaptive dynamic programming (PGADP) algorithm is developed to design an adaptive optimal controller method. By using offline and online data rather than the mathematical system model, the PGADP algorithm improves control policy with a gradient descent scheme. The convergence of the PGADP algorithm is proved by demonstrating that the constructed Q -function sequence converges to the optimal Q -function. Based on the PGADP algorithm, the adaptive control method is developed with an actor-critic structure and the method of weighted residuals. Its convergence properties are analyzed, where the approximate Q -function converges to its optimum. Computer simulation results demonstrate the effectiveness of the PGADP-based adaptive control method.
Fuzzy Sarsa with Focussed Replacing Eligibility Traces for Robust and Accurate Control

NASA Astrophysics Data System (ADS)

Kamdem, Sylvain; Ohki, Hidehiro; Sueda, Naomichi

Several methods of reinforcement learning in continuous state and action spaces that utilize fuzzy logic have been proposed in recent years. This paper introduces Fuzzy Sarsa(λ), an on-policy algorithm for fuzzy learning that relies on a novel way of computing replacing eligibility traces to accelerate the policy evaluation. It is tested against several temporal difference learning algorithms: Sarsa(λ), Fuzzy Q(λ), an earlier fuzzy version of Sarsa and an actor-critic algorithm. We perform detailed evaluations on two benchmark problems : a maze domain and the cart pole. Results of various tests highlight the strengths and weaknesses of these algorithms and show that Fuzzy Sarsa(λ) outperforms all other algorithms tested for a larger granularity of design and under noisy conditions. It is a highly competitive method of learning in realistic noisy domains where a denser fuzzy design over the state space is needed for a more precise control.
Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics

NASA Astrophysics Data System (ADS)

Lv, Yongfeng; Na, Jing; Yang, Qinmin; Wu, Xing; Guo, Yu

2016-01-01

An online adaptive optimal control is proposed for continuous-time nonlinear systems with completely unknown dynamics, which is achieved by developing a novel identifier-critic-based approximate dynamic programming algorithm with a dual neural network (NN) approximation structure. First, an adaptive NN identifier is designed to obviate the requirement of complete knowledge of system dynamics, and a critic NN is employed to approximate the optimal value function. Then, the optimal control law is computed based on the information from the identifier NN and the critic NN, so that the actor NN is not needed. In particular, a novel adaptive law design method with the parameter estimation error is proposed to online update the weights of both identifier NN and critic NN simultaneously, which converge to small neighbourhoods around their ideal values. The closed-loop system stability and the convergence to small vicinity around the optimal solution are all proved by means of the Lyapunov theory. The proposed adaptation algorithm is also improved to achieve finite-time convergence of the NN weights. Finally, simulation results are provided to exemplify the efficacy of the proposed methods.
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.
Stochastic Matching and the Voluntary Nature of Choice

PubMed Central

Neuringer, Allen; Jensen, Greg; Piff, Paul

2007-01-01

Attempts to characterize voluntary behavior have been ongoing for thousands of years. We provide experimental evidence that judgments of volition are based upon distributions of responses in relation to obtained rewards. Participants watched as responses, said to be made by “actors,” appeared on a computer screen. The participant's task was to estimate how well each actor represented the voluntary choices emitted by a real person. In actuality, all actors' responses were generated by algorithms based on Baum's (1979) generalized matching function. We systematically varied the exponent values (sensitivity parameter) of these algorithms: some actors matched response proportions to received reinforcer proportions, others overmatched (predominantly chose the highest-valued alternative), and yet others undermatched (chose relatively equally among the alternatives). In each of five experiments, we found that the matching actor's responses were judged most closely to approximate voluntary choice. We found also that judgments of high volition depended upon stochastic (or probabilistic) generation. Thus, stochastic responses that match reinforcer proportions best represent voluntary human choice. PMID:17725049
A parameter control method in reinforcement learning to rapidly follow unexpected environmental changes.

PubMed

Murakoshi, Kazushi; Mizuno, Junya

2004-11-01

In order to rapidly follow unexpected environmental changes, we propose a parameter control method in reinforcement learning that changes each of learning parameters in appropriate directions. We determine each appropriate direction on the basis of relationships between behaviors and neuromodulators by considering an emergency as a key word. Computer experiments show that the agents using our proposed method could rapidly respond to unexpected environmental changes, not depending on either two reinforcement learning algorithms (Q-learning and actor-critic (AC) architecture) or two learning problems (discontinuous and continuous state-action problems).
Application of the Actor-Critic Architecture to Functional Electrical Stimulation Control of a Human Arm.

PubMed

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.
Neural network based online simultaneous policy update algorithm for solving the HJI equation in nonlinear H∞ control.

PubMed

Wu, Huai-Ning; Luo, Biao

2012-12-01

It is well known that the nonlinear H∞ state feedback control problem relies on the solution of the Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential equation that has proven to be impossible to solve analytically. In this paper, a neural network (NN)-based online simultaneous policy update algorithm (SPUA) is developed to solve the HJI equation, in which knowledge of internal system dynamics is not required. First, we propose an online SPUA which can be viewed as a reinforcement learning technique for two players to learn their optimal actions in an unknown environment. The proposed online SPUA updates control and disturbance policies simultaneously; thus, only one iterative loop is needed. Second, the convergence of the online SPUA is established by proving that it is mathematically equivalent to Newton's method for finding a fixed point in a Banach space. Third, we develop an actor-critic structure for the implementation of the online SPUA, in which only one critic NN is needed for approximating the cost function, and a least-square method is given for estimating the NN weight parameters. Finally, simulation studies are provided to demonstrate the effectiveness of the proposed algorithm.
Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming

NASA Astrophysics Data System (ADS)

Liu, Derong; Huang, Yuzhu; Wang, Ding; Wei, Qinglai

2013-09-01

In this paper, an observer-based optimal control scheme is developed for unknown nonlinear systems using adaptive dynamic programming (ADP) algorithm. First, a neural-network (NN) observer is designed to estimate system states. Then, based on the observed states, a neuro-controller is constructed via ADP method to obtain the optimal control. In this design, two NN structures are used: a three-layer NN is used to construct the observer which can be applied to systems with higher degrees of nonlinearity and without a priori knowledge of system dynamics, and a critic NN is employed to approximate the value function. The optimal control law is computed using the critic NN and the observer NN. Uniform ultimate boundedness of the closed-loop system is guaranteed. The actor, critic, and observer structures are all implemented in real-time, continuously and simultaneously. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control scheme.
Application of the Actor-Critic Architecture to Functional Electrical Stimulation Control of a Human Arm

PubMed Central

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
Off-Policy Actor-Critic Structure for Optimal Control of Unknown Systems With Disturbances.

PubMed

Song, Ruizhuo; Lewis, Frank L; Wei, Qinglai; Zhang, Huaguang

2016-05-01

An optimal control method is developed for unknown continuous-time systems with unknown disturbances in this paper. The integral reinforcement learning (IRL) algorithm is presented to obtain the iterative control. Off-policy learning is used to allow the dynamics to be completely unknown. Neural networks are used to construct critic and action networks. It is shown that if there are unknown disturbances, off-policy IRL may not converge or may be biased. For reducing the influence of unknown disturbances, a disturbances compensation controller is added. It is proven that the weight errors are uniformly ultimately bounded based on Lyapunov techniques. Convergence of the Hamiltonian function is also proven. The simulation study demonstrates the effectiveness of the proposed optimal control method for unknown systems with disturbances.
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…
Construction of multi-agent mobile robots control system in the problem of persecution with using a modified reinforcement learning method based on neural networks

NASA Astrophysics Data System (ADS)

Patkin, M. L.; Rogachev, G. N.

2018-02-01

A method for constructing a multi-agent control system for mobile robots based on training with reinforcement using deep neural networks is considered. Synthesis of the management system is proposed to be carried out with reinforcement training and the modified Actor-Critic method, in which the Actor module is divided into Action Actor and Communication Actor in order to simultaneously manage mobile robots and communicate with partners. Communication is carried out by sending partners at each step a vector of real numbers that are added to the observation vector and affect the behaviour. Functions of Actors and Critic are approximated by deep neural networks. The Critics value function is trained by using the TD-error method and the Actor’s function by using DDPG. The Communication Actor’s neural network is trained through gradients received from partner agents. An environment in which a cooperative multi-agent interaction is present was developed, computer simulation of the application of this method in the control problem of two robots pursuing two goals was carried out.
Use of actors as standardized psychiatric patients.

PubMed

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.
The role of multisensor data fusion in neuromuscular control of a sagittal arm with a pair of muscles using actor-critic reinforcement learning method.

PubMed

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.

Validating a UAV artificial intelligence control system using an autonomous test case generator

NASA Astrophysics Data System (ADS)

Straub, Jeremy; Huber, Justin

2013-05-01

The validation of safety-critical applications, such as autonomous UAV operations in an environment which may include human actors, is an ill posed problem. To confidence in the autonomous control technology, numerous scenarios must be considered. This paper expands upon previous work, related to autonomous testing of robotic control algorithms in a two dimensional plane, to evaluate the suitability of similar techniques for validating artificial intelligence control in three dimensions, where a minimum level of airspeed must be maintained. The results of human-conducted testing are compared to this automated testing, in terms of error detection, speed and testing cost.
Approximate N-Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System.

PubMed

Johnson, Marcus; Kamalapurkar, Rushikesh; Bhasin, Shubhendu; Dixon, Warren E

2015-08-01

An approximate online equilibrium solution is developed for an N -player nonzero-sum game subject to continuous-time nonlinear unknown dynamics and an infinite horizon quadratic cost. A novel actor-critic-identifier structure is used, wherein a robust dynamic neural network is used to asymptotically identify the uncertain system with additive disturbances, and a set of critic and actor NNs are used to approximate the value functions and equilibrium policies, respectively. The weight update laws for the actor neural networks (NNs) are generated using a gradient-descent method, and the critic NNs are generated by least square regression, which are both based on the modified Bellman error that is independent of the system dynamics. A Lyapunov-based stability analysis shows that uniformly ultimately bounded tracking is achieved, and a convergence analysis demonstrates that the approximate control policies converge to a neighborhood of the optimal solutions. The actor, critic, and identifier structures are implemented in real time continuously and simultaneously. Simulations on two and three player games illustrate the performance of the developed method.
Dorsal Striatal-Midbrain Connectivity in Humans Predicts How Reinforcements Are Used to Guide Decisions

ERIC Educational Resources Information Center

Kahnt, Thorsten; Park, Soyoung Q.; Cohen, Michael X.; Beck, Anne; Heinz, Andreas; Wrase, Jana

2009-01-01

It has been suggested that the target areas of dopaminergic midbrain neurons, the dorsal (DS) and ventral striatum (VS), are differently involved in reinforcement learning especially as actor and critic. Whereas the critic learns to predict rewards, the actor maintains action values to guide future decisions. The different midbrain connections to…
Cluster Analysis of Weighted Bipartite Networks: A New Copula-Based Approach

PubMed Central

Chessa, Alessandro; Crimaldi, Irene; Riccaboni, Massimo; Trapin, Luca

2014-01-01

In this work we are interested in identifying clusters of “positional equivalent” actors, i.e. actors who play a similar role in a system. In particular, we analyze weighted bipartite networks that describes the relationships between actors on one side and features or traits on the other, together with the intensity level to which actors show their features. We develop a methodological approach that takes into account the underlying multivariate dependence among groups of actors. The idea is that positions in a network could be defined on the basis of the similar intensity levels that the actors exhibit in expressing some features, instead of just considering relationships that actors hold with each others. Moreover, we propose a new clustering procedure that exploits the potentiality of copula functions, a mathematical instrument for the modelization of the stochastic dependence structure. Our clustering algorithm can be applied both to binary and real-valued matrices. We validate it with simulations and applications to real-world data. PMID:25303095
Reinforcement learning for resource allocation in LEO satellite networks.

PubMed

Usaha, Wipawee; Barria, Javier A

2007-06-01

In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks. It has been shown in a recent paper that, in a LEO satellite system, a semi-Markov decision process formulation of the call admission and routing problem can achieve better performance in terms of an average revenue function than existing routing methods. However, the conventional dynamic programming (DP) numerical solution becomes prohibited as the problem size increases. In this paper, two solution methods based on reinforcement learning (RL) are proposed in order to circumvent the computational burden of DP. The first method is based on an actor-critic method with temporal-difference (TD) learning. The second method is based on a critic-only method, called optimistic TD learning. The algorithms enhance performance in terms of requirements in storage, computational complexity and computational time, and in terms of an overall long-term average revenue function that penalizes blocked calls. Numerical studies are carried out, and the results obtained show that the RL framework can achieve up to 56% higher average revenue over existing routing methods used in LEO satellite networks with reasonable storage and computational requirements.
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.
Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture.

PubMed

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.
Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture

PubMed Central

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
Adaptive critics for dynamic optimization.

PubMed

Kulkarni, Raghavendra V; Venayagamoorthy, Ganesh Kumar

2010-06-01

A novel action-dependent adaptive critic design (ACD) is developed for dynamic optimization. The proposed combination of a particle swarm optimization-based actor and a neural network critic is demonstrated through dynamic sleep scheduling of wireless sensor motes for wildlife monitoring. The objective of the sleep scheduler is to dynamically adapt the sleep duration to node's battery capacity and movement pattern of animals in its environment in order to obtain snapshots of the animal on its trajectory uniformly. Simulation results show that the sleep time of the node determined by the actor critic yields superior quality of sensory data acquisition and enhanced node longevity. Copyright 2010 Elsevier Ltd. All rights reserved.
Real social analytics: A contribution towards a phenomenology of a digital world.

PubMed

Couldry, Nick; Fotopoulou, Aristea; Dickens, Luke

2016-03-01

This article argues against the assumption that agency and reflexivity disappear in an age of 'algorithmic power' (Lash 2007). Following the suggestions of Beer (2009), it proposes that, far from disappearing, new forms of agency and reflexivity around the embedding in everyday practice of not only algorithms but also analytics more broadly are emerging, as social actors continue to pursue their social ends but mediated through digital interfaces: this is the consequence of many social actors now needing their digital presence, regardless of whether they want this, to be measured and counted. The article proposes 'social analytics' as a new topic for sociology: the sociological study of social actors' uses of analytics not for the sake of measurement itself (or to make profit from measurement) but in order to fulfil better their social ends through an enhancement of their digital presence. The article places social analytics in the context of earlier debates about categorization, algorithmic power, and self-presentation online, and describes in detail a case study with a UK community organization which generated the social analytics approach. The article concludes with reflections on the implications of this approach for further sociological fieldwork in a digital world. © London School of Economics and Political Science 2016.
ACToR - Aggregated Computational Toxicology Resource ...

EPA Pesticide Factsheets

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.
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data.

PubMed

Zhu, Yuanheng; Zhao, Dongbin; Li, Xiangjun

2017-03-01

H ∞ control is a powerful method to solve the disturbance attenuation problems that occur in some control systems. The design of such controllers relies on solving the zero-sum game (ZSG). But in practical applications, the exact dynamics is mostly unknown. Identification of dynamics also produces errors that are detrimental to the control performance. To overcome this problem, an iterative adaptive dynamic programming algorithm is proposed in this paper to solve the continuous-time, unknown nonlinear ZSG with only online data. A model-free approach to the Hamilton-Jacobi-Isaacs equation is developed based on the policy iteration method. Control and disturbance policies and value are approximated by neural networks (NNs) under the critic-actor-disturber structure. The NN weights are solved by the least-squares method. According to the theoretical analysis, our algorithm is equivalent to a Gauss-Newton method solving an optimization problem, and it converges uniformly to the optimal solution. The online data can also be used repeatedly, which is highly efficient. Simulation results demonstrate its feasibility to solve the unknown nonlinear ZSG. When compared with other algorithms, it saves a significant amount of online measurement time.
Tunnel Ventilation Control Using Reinforcement Learning Methodology

NASA Astrophysics Data System (ADS)

Chu, Baeksuk; Kim, Dongnam; Hong, Daehie; Park, Jooyoung; Chung, Jin Taek; Kim, Tae-Hyung

The main purpose of tunnel ventilation system is to maintain CO pollutant concentration and VI (visibility index) under an adequate level to provide drivers with comfortable and safe driving environment. Moreover, it is necessary to minimize power consumption used to operate ventilation system. To achieve the objectives, the control algorithm used in this research is reinforcement learning (RL) method. RL is a goal-directed learning of a mapping from situations to actions without relying on exemplary supervision or complete models of the environment. The goal of RL is to maximize a reward which is an evaluative feedback from the environment. In the process of constructing the reward of the tunnel ventilation system, two objectives listed above are included, that is, maintaining an adequate level of pollutants and minimizing power consumption. RL algorithm based on actor-critic architecture and gradient-following algorithm is adopted to the tunnel ventilation system. The simulations results performed with real data collected from existing tunnel ventilation system and real experimental verification are provided in this paper. It is confirmed that with the suggested controller, the pollutant level inside the tunnel was well maintained under allowable limit and the performance of energy consumption was improved compared to conventional control scheme.
On accuracy, privacy, and complexity in the identification problem

NASA Astrophysics Data System (ADS)

Beekhof, F.; Voloshynovskiy, S.; Koval, O.; Holotyak, T.

2010-02-01

This paper presents recent advances in the identification problem taking into account the accuracy, complexity and privacy leak of different decoding algorithms. Using a model of different actors from literature, we show that it is possible to use more accurate decoding algorithms using reliability information without increasing the privacy leak relative to algorithms that only use binary information. Existing algorithms from literature have been modified to take advantage of reliability information, and we show that a proposed branch-and-bound algorithm can outperform existing work, including the enhanced variants.
Creating a Reinforcement Learning Controller for Functional Electrical Stimulation of a Human Arm*

PubMed Central

Thomas, Philip S.; 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 Reinforcement Learning to create a controller that can adapt to these changing dynamics of a human arm. Development and tests were done in simulation using a two-dimensional arm model and Hill-based muscle dynamics. An actor-critic architecture is used with artificial neural networks for both the actor and the critic. 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. PMID:22081795
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.
Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes

PubMed Central

Daskalaki, Elena; Diem, Peter; Mougiakakou, Stavroula G.

2016-01-01

Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multiple algorithmic parameters. This study explores the feasibility of RL in the framework of artificial pancreas development for type 1 diabetes (T1D). In this approach, an Actor-Critic (AC) learning algorithm is designed and developed for the optimisation of insulin infusion for personalised glucose regulation. AC optimises the daily basal insulin rate and insulin:carbohydrate ratio for each patient, on the basis of his/her measured glucose profile. Automatic, personalised tuning of AC is based on the estimation of information transfer (IT) from insulin to glucose signals. Insulin-to-glucose IT is linked to patient-specific characteristics related to total daily insulin needs and insulin sensitivity (SI). The AC algorithm is evaluated using an FDA-accepted T1D simulator on a large patient database under a complex meal protocol, meal uncertainty and diurnal SI variation. The results showed that 95.66% of time was spent in normoglycaemia in the presence of meal uncertainty and 93.02% when meal uncertainty and SI variation were simultaneously considered. The time spent in hypoglycaemia was 0.27% in both cases. The novel tuning method reduced the risk of severe hypoglycaemia, especially in patients with low SI. PMID:27441367
The Legitimation of Novel Technologies: The Case of Nanotechnology

NASA Astrophysics Data System (ADS)

Thyroff, Anastasia E.

Nanotechnology is the control, manipulation, and application of matter on an atomic and molecular level. The technology is complex and confusing to consumers, and its long-term safety and effect on the human body, as well as the environment, are unknown. However, for the past decade, nanotechnology has been used to develop consumer products and food with novel and attractive attributes. Since nanotechnology is still not well known, it is not legitimized; that is, it has not been deemed safe and accepted by society. However, the market for nanotechnology is in the legitimation process. It will take an entire network of key stakeholders playing a specific roles for nanotechnology to legitimize. Specifically, each key stakeholder will align with a certain cultural discourse to frame nanotechnology in a particular way that complements their values. In Essay 1, I follow previous market system dynamic's literature and combine Actor Network Theory (ANT), Foucault's Discourse on Power and Goffman's Frame analysis to theoretically explore what the actor network for nanotechnology looks like. Four dominate frames are identified: 1) Advancement (i.e., government), 2) Management (i.e., industry), 3) Development (i.e., academia/scientists), and 4) Informant (i.e., NGO). Essay 2 empirically explores each actor's perspective on the nanotechnology network through a total of 24 interviews. A hermeneutic approach is used to analyze the 208 page text and themes describing each actor's role from a self and other's perspective are discussed. Additionally, three overarching themes (i.e., contradiction, constance, and cutoff) emerge; these themes describe the degree of similarity in how actors view their role in the nanotechnology network compared to how other actor's view that actor's role. In Essay 3, I bring critical theory into market system's research to better contextualize market formation theories. Specifically, I discuss how critical theory can be used to supplement ANT. I suggest that ANT can be combined with critical theory to better understand the process of translation through exploring conflicts and contradictions among key stakeholders. To show this process, I explore the juxtaposition of economic benefits vs. cultural concerns that has emerged in the nanotechnology marketplace. It is determined that this exploration process can determine why mobilization has not occurred.
Monitoring Deformation in Graphene Through Hyperspectral Synchrotron Spectroscopy to Inform Fabrication

DOE Office of Scientific and Technical Information (OSTI.GOV)

Winter, Allen Douglas; Rojas, Wudmir Y.; Williams, Adrienne D.

The promise from graphene to produce devices with high mobilities and detectors with fast response times is truncated in practice by strain and deformation originating during growth and subsequent processing. This work describes effects from graphene growth, multiple layer transfer, and substrate termination on out of plane deformation, critical to device performance. Synchrotron spectroscopy data was acquired with a state-of-the-art hyperspectral large-area detector to describe growth and processing with molecular sensitivity at wafer length scales. A study of methodologies used in data analysis discouraged dichroic ratio approaches in favor of orbital vector approximations and data mining algorithms. Orbital vector methodsmore » provide a physical insight into mobility-detrimental rippling by identifying ripple frequency as main actor, rather than intensity; which was confirmed by data mining algorithms, and in good agreement with electron scattering theories of corrugation in graphene. This work paves the way to efficient information from mechanical properties in graphene in a high throughput mode throughout growth and processing in a materials by design approach.« less
The Pursuit of Memory: Examining Art Teaching and Pedagogical Practices through Hannah Arendt's Actor-Spectator Theory

ERIC Educational Resources Information Center

Lee, Mun Yee

2011-01-01

Memories of our schooling and teaching experiences shape our curriculum and pedagogical decision-making process in art education when we become teachers and teacher educators. In this paper, using Hannah Arendt's Actor-Spectator Theory, I engage in retrospective critical introspection of my practices as an art teacher and curriculum developer in…

Lights, camera, condoms! Assessing college men's attitudes toward condom use in pornography.

PubMed

Kraus, Shane W; Rosenberg, Harold

2016-01-01

Investigate male college students' attitudes toward actors' use of condoms in pornography. Two hundred thirteen undergraduate males attending a large, state-supported midwestern university in the fall semester, 2012. Using a Web-based procedure, participants completed questionnaires assessing their pornography use, sexual history characteristics, and their attitudes toward condom use by adult performers. Factor analysis of the 11-item condom use attitudes questionnaire supported 2 distinct subscales: Condom Supportive Attitudes and Condom Critical Attitudes. Although participants typically agreed with statements supportive of condom use and generally disagreed with statements critical of condom use in pornography, gay men had significantly higher condom supportive subscale scores than did heterosexual men. Neither subscale was correlated with weekly viewing of pornography. Although some producers of adult films argue that actors wearing condoms will displease many viewers, current findings suggest that young men express support for use of condoms by pornographic film actors.
Climate stories: Why do climate scientists and sceptical voices participate in the climate debate?

PubMed

Sharman, Amelia; Howarth, Candice

2017-10-01

Public perceptions of the climate debate predominantly frame the key actors as climate scientists versus sceptical voices; however, it is unclear why climate scientists and sceptical voices choose to participate in this antagonistic and polarised public battle. A narrative interview approach is used to better understand the underlying rationales behind 22 climate scientists' and sceptical voices' engagement in the climate debate, potential commonalities, as well as each actor's ability to be critically self-reflexive. Several overlapping rationales are identified including a sense of duty to publicly engage, agreement that complete certainty about the complex assemblage of climate change is unattainable and that political factors are central to the climate debate. We argue that a focus on potential overlaps in perceptions and rationales as well as the ability to be critically self-reflexive may encourage constructive discussion among actors previously engaged in purposefully antagonistic exchange on climate change.
The role of intergenerational similarity and parenting in adolescent self-criticism: An actor-partner interdependence model.

PubMed

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

2016-06-01

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

PubMed

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.
Free-viewpoint video of human actors using multiple handheld Kinects.

PubMed

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.
Defining the global health system and systematically mapping its network of actors.

PubMed

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.
Jovan Skerlic as a Life Tutor

ERIC Educational Resources Information Center

Mumovic, Ana

2015-01-01

The paper studies and illuminates Jovan Skerlic's social function and "criticism anatomy" in his "History of Serbian Literature." The object of analysis is the act and actors of Skerlic's engaged criticism and method relying on facts. It is the path taken a hundred years later by Serbian criticism and literature as culture and…
Adaptive Actor-Critic Design-Based Integral Sliding-Mode Control for Partially Unknown Nonlinear Systems With Input Disturbances.

PubMed

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.
Integrating robotic action with biologic perception: A brain-machine symbiosis theory

NASA Astrophysics Data System (ADS)

Mahmoudi, Babak

In patients with motor disability the natural cyclic flow of information between the brain and external environment is disrupted by their limb impairment. Brain-Machine Interfaces (BMIs) aim to provide new communication channels between the brain and environment by direct translation of brain's internal states into actions. For enabling the user in a wide range of daily life activities, the challenge is designing neural decoders that autonomously adapt to different tasks, environments, and to changes in the pattern of neural activity. In this dissertation, a novel decoding framework for BMIs is developed in which a computational agent autonomously learns how to translate neural states into action based on maximization of a measure of shared goal between user and the agent. Since the agent and brain share the same goal, a symbiotic relationship between them will evolve therefore this decoding paradigm is called a Brain-Machine Symbiosis (BMS) framework. A decoding agent was implemented within the BMS framework based on the Actor-Critic method of Reinforcement Learning. The rule of the Actor as a neural decoder was to find mapping between the neural representation of motor states in the primary motor cortex (MI) and robot actions in order to solve reaching tasks. The Actor learned the optimal control policy using an evaluative feedback that was estimated by the Critic directly from the user's neural activity of the Nucleus Accumbens (NAcc). Through a series of computational neuroscience studies in a cohort of rats it was demonstrated that NAcc could provide a useful evaluative feedback by predicting the increase or decrease in the probability of earning reward based on the environmental conditions. Using a closed-loop BMI simulator it was demonstrated the Actor-Critic decoding architecture was able to adapt to different tasks as well as changes in the pattern of neural activity. The custom design of a dual micro-wire array enabled simultaneous implantation of MI and NAcc for the development of a full closed-loop system. The Actor-Critic decoding architecture was able to solve the brain-controlled reaching task using a robotic arm by capturing the interdependency between the simultaneous action representation in MI and reward expectation in NAcc.
Silencing the Critics: Understanding the Effects of Cocaine Sensitization on Dorsolateral and Ventral Striatum in the Context of an Actor/Critic Model

PubMed Central

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
Recipients Affect Prosocial and Altruistic Choices in Jackdaws, Corvus monedula

PubMed Central

Schwab, Christine; Swoboda, Ruth; Kotrschal, Kurt; Bugnyar, Thomas

2012-01-01

Other-regarding preferences are a critical feature of human cooperation but to what extent non-human animals exhibit these preferences is a matter of intense discussion. We tested whether jackdaws show prosocial behaviour (providing benefits to others at no cost to themselves) and altruism (providing benefits to others while incurring costs) with both sibling and non-sibling recipients. In the prosocial condition, a box was baited on both the actor's and the recipient's side (1/1 option), whereas another box provided food only for the actor (1/0 option). In the altruistic condition, the boxes contained food for either the actor (1/0 option) or the recipient (0/1 option). The proportion of selfish (1/0 option) and cooperative (1/1 and 0/1 option, respectively) actors' choices was significantly affected by the recipients' behaviour. If recipients approached the boxes first and positioned themselves next to the box baited on their side, trying to access the food reward (recipient-first trials), actors were significantly more cooperative than when the actors approached the boxes first and made their choice prior to the recipients' arrival (actor-first trials). Further, in recipient-first trials actors were more cooperative towards recipients of the opposite sex, an effect that was even more pronounced in the altruistic condition. Hence, at no cost to the actors, all recipients could significantly influence the actors' behaviour, whereas at high costs this could be achieved even more so by recipients of different sex. Local/stimulus enhancement is discussed as the most likely cognitive mechanism to account for these effects. PMID:22511972
Recipients affect prosocial and altruistic choices in jackdaws, Corvus monedula.

PubMed

Schwab, Christine; Swoboda, Ruth; Kotrschal, Kurt; Bugnyar, Thomas

2012-01-01

Other-regarding preferences are a critical feature of human cooperation but to what extent non-human animals exhibit these preferences is a matter of intense discussion. We tested whether jackdaws show prosocial behaviour (providing benefits to others at no cost to themselves) and altruism (providing benefits to others while incurring costs) with both sibling and non-sibling recipients. In the prosocial condition, a box was baited on both the actor's and the recipient's side (1/1 option), whereas another box provided food only for the actor (1/0 option). In the altruistic condition, the boxes contained food for either the actor (1/0 option) or the recipient (0/1 option). The proportion of selfish (1/0 option) and cooperative (1/1 and 0/1 option, respectively) actors' choices was significantly affected by the recipients' behaviour. If recipients approached the boxes first and positioned themselves next to the box baited on their side, trying to access the food reward (recipient-first trials), actors were significantly more cooperative than when the actors approached the boxes first and made their choice prior to the recipients' arrival (actor-first trials). Further, in recipient-first trials actors were more cooperative towards recipients of the opposite sex, an effect that was even more pronounced in the altruistic condition. Hence, at no cost to the actors, all recipients could significantly influence the actors' behaviour, whereas at high costs this could be achieved even more so by recipients of different sex. Local/stimulus enhancement is discussed as the most likely cognitive mechanism to account for these effects.
Private actors, global health and learning the lessons of history.

PubMed

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.
Adaptive nearly optimal control for a class of continuous-time nonaffine nonlinear systems with inequality constraints.

PubMed

Fan, Quan-Yong; Yang, Guang-Hong

2017-01-01

The state inequality constraints have been hardly considered in the literature on solving the nonlinear optimal control problem based the adaptive dynamic programming (ADP) method. In this paper, an actor-critic (AC) algorithm is developed to solve the optimal control problem with a discounted cost function for a class of state-constrained nonaffine nonlinear systems. To overcome the difficulties resulting from the inequality constraints and the nonaffine nonlinearities of the controlled systems, a novel transformation technique with redesigned slack functions and a pre-compensator method are introduced to convert the constrained optimal control problem into an unconstrained one for affine nonlinear systems. Then, based on the policy iteration (PI) algorithm, an online AC scheme is proposed to learn the nearly optimal control policy for the obtained affine nonlinear dynamics. Using the information of the nonlinear model, novel adaptive update laws are designed to guarantee the convergence of the neural network (NN) weights and the stability of the affine nonlinear dynamics without the requirement for the probing signal. Finally, the effectiveness of the proposed method is validated by simulation studies. Copyright © 2016 ISA. Published by Elsevier Ltd. All rights reserved.
A Policy Representation Using Weighted Multiple Normal Distribution

NASA Astrophysics Data System (ADS)

Kimura, Hajime; Aramaki, Takeshi; Kobayashi, Shigenobu

In this paper, we challenge to solve a reinforcement learning problem for a 5-linked ring robot within a real-time so that the real-robot can stand up to the trial and error. On this robot, incomplete perception problems are caused from noisy sensors and cheap position-control motor systems. This incomplete perception also causes varying optimum actions with the progress of the learning. To cope with this problem, we adopt an actor-critic method, and we propose a new hierarchical policy representation scheme, that consists of discrete action selection on the top level and continuous action selection on the low level of the hierarchy. The proposed hierarchical scheme accelerates learning on continuous action space, and it can pursue the optimum actions varying with the progress of learning on our robotics problem. This paper compares and discusses several learning algorithms through simulations, and demonstrates the proposed method showing application for the real robot.
Experiential learning in nursing consultation education via clinical simulation with actors: action research.

PubMed

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.
A Formal Approach to the Provably Correct Synthesis of Mission Critical Embedded Software for Multi Core Embedded Platforms

DTIC Science & Technology

2014-04-01

synchronization primitives based on preset templates can result in over synchronization if unchecked, possibly creating deadlock situations. Further...inputs rather than enforcing synchronization with a global clock. MRICDF models software as a network of communicating actors. Four primitive actors...control wants to send interrupt or not. Since this is shared buffer, a semaphore mechanism is assumed to synchronize the read/write of this buffer. The
Transnational corporations as 'keystone actors' in marine ecosystems.

PubMed

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.
Quantization-Based Adaptive Actor-Critic Tracking Control With Tracking Error Constraints.

PubMed

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.
A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfaces

PubMed Central

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

Dynamic Sensor Tasking for Space Situational Awareness via Reinforcement Learning

NASA Astrophysics Data System (ADS)

Linares, R.; Furfaro, R.

2016-09-01

This paper studies the Sensor Management (SM) problem for optical Space Object (SO) tracking. The tasking problem is formulated as a Markov Decision Process (MDP) and solved using Reinforcement Learning (RL). The RL problem is solved using the actor-critic policy gradient approach. The actor provides a policy which is random over actions and given by a parametric probability density function (pdf). The critic evaluates the policy by calculating the estimated total reward or the value function for the problem. The parameters of the policy action pdf are optimized using gradients with respect to the reward function. Both the critic and the actor are modeled using deep neural networks (multi-layer neural networks). The policy neural network takes the current state as input and outputs probabilities for each possible action. This policy is random, and can be evaluated by sampling random actions using the probabilities determined by the policy neural network's outputs. The critic approximates the total reward using a neural network. The estimated total reward is used to approximate the gradient of the policy network with respect to the network parameters. This approach is used to find the non-myopic optimal policy for tasking optical sensors to estimate SO orbits. The reward function is based on reducing the uncertainty for the overall catalog to below a user specified uncertainty threshold. This work uses a 30 km total position error for the uncertainty threshold. This work provides the RL method with a negative reward as long as any SO has a total position error above the uncertainty threshold. This penalizes policies that take longer to achieve the desired accuracy. A positive reward is provided when all SOs are below the catalog uncertainty threshold. An optimal policy is sought that takes actions to achieve the desired catalog uncertainty in minimum time. This work trains the policy in simulation by letting it task a single sensor to "learn" from its performance. The proposed approach for the SM problem is tested in simulation and good performance is found using the actor-critic policy gradient method.
Software platform for managing the classification of error- related potentials of observers

NASA Astrophysics Data System (ADS)

Asvestas, P.; Ventouras, E.-C.; Kostopoulos, S.; Sidiropoulos, K.; Korfiatis, V.; Korda, A.; Uzunolglu, A.; Karanasiou, I.; Kalatzis, I.; Matsopoulos, G.

2015-09-01

Human learning is partly based on observation. Electroencephalographic recordings of subjects who perform acts (actors) or observe actors (observers), contain a negative waveform in the Evoked Potentials (EPs) of the actors that commit errors and of observers who observe the error-committing actors. This waveform is called the Error-Related Negativity (ERN). Its detection has applications in the context of Brain-Computer Interfaces. The present work describes a software system developed for managing EPs of observers, with the aim of classifying them into observations of either correct or incorrect actions. It consists of an integrated platform for the storage, management, processing and classification of EPs recorded during error-observation experiments. The system was developed using C# and the following development tools and frameworks: MySQL, .NET Framework, Entity Framework and Emgu CV, for interfacing with the machine learning library of OpenCV. Up to six features can be computed per EP recording per electrode. The user can select among various feature selection algorithms and then proceed to train one of three types of classifiers: Artificial Neural Networks, Support Vector Machines, k-nearest neighbour. Next the classifier can be used for classifying any EP curve that has been inputted to the database.
Experience with Acore: Implementing GHC with Actors

DTIC Science & Technology

1990-10-01

Our unification algorithm must differentiate between the two and perform the unification only from Foo to bar, no matter which of the two initially...variable Y. We :passive-unify it to X. Since X is uninstantiated, it buffers the : pasive -unify message. Now the guard goal, Y = ok is executed, and the
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats

PubMed Central

Lloyd, Kevin; Becker, Nadine; Jones, Matthew W.; Bogacz, Rafal

2012-01-01

Learning to form appropriate, task-relevant working memory representations is a complex process central to cognition. Gating models frame working memory as a collection of past observations and use reinforcement learning (RL) to solve the problem of when to update these observations. Investigation of how gating models relate to brain and behavior remains, however, at an early stage. The current study sought to explore the ability of simple RL gating models to replicate rule learning behavior in rats. Rats were trained in a maze-based spatial learning task that required animals to make trial-by-trial choices contingent upon their previous experience. Using an abstract version of this task, we tested the ability of two gating algorithms, one based on the Actor-Critic and the other on the State-Action-Reward-State-Action (SARSA) algorithm, to generate behavior consistent with the rats'. Both models produced rule-acquisition behavior consistent with the experimental data, though only the SARSA gating model mirrored faster learning following rule reversal. We also found that both gating models learned multiple strategies in solving the initial task, a property which highlights the multi-agent nature of such models and which is of importance in considering the neural basis of individual differences in behavior. PMID:23115551
Losing Ground: A Critical Analysis of Teachers' Agency for Peacebuilding Education in Sri Lanka

ERIC Educational Resources Information Center

Lopes Cardozo, Mieke T. A.; Hoeks, Celine C. M. Q.

2015-01-01

This paper aims to explore the "agency" of teachers for peacebuilding education in Sri Lanka through a critical multiscalar analysis of the interplay between "context"--education policies and governance--and "agent"--teachers as strategic political actors. It draws on two studies conducted in Sri Lanka in 2006 and…
Southern-European Signposts for Critical Popular Adult Education: Italy, Portugal and Spain

ERIC Educational Resources Information Center

Guimaraes, Paula; Lucio-Villegas, Emilio; Mayo, Peter

2018-01-01

This paper focuses on three Southern European countries, Italy, Portugal and Spain, to explore examples of projects that provide signposts for a critical popular education that contributes to an ongoing democratic process--one whereby citizens are developed as social actors and members of a collectivity rather than simply passive…
Educational Theories, Cultures and Learning: A Critical Perspective. Critical Perspectives on Education

ERIC Educational Resources Information Center

Daniels, Harry, Ed.; Lauder, Hugh, Ed.; Porter, Jill, Ed.

2011-01-01

"Educational Theories, Cultures and Learning" focuses on how education is understood in different cultures, the theories and related assumptions we make about learners and students and how we think about them, and how we can understand the principle actors in education--learners and teachers. Within this volume, internationally renowned…
An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning

PubMed Central

Potjans, Wiebke; Diesmann, Markus; Morrison, Abigail

2011-01-01

An open problem in the field of computational neuroscience is how to link synaptic plasticity to system-level learning. A promising framework in this context is temporal-difference (TD) learning. Experimental evidence that supports the hypothesis that the mammalian brain performs temporal-difference learning includes the resemblance of the phasic activity of the midbrain dopaminergic neurons to the TD error and the discovery that cortico-striatal synaptic plasticity is modulated by dopamine. However, as the phasic dopaminergic signal does not reproduce all the properties of the theoretical TD error, it is unclear whether it is capable of driving behavior adaptation in complex tasks. Here, we present a spiking temporal-difference learning model based on the actor-critic architecture. The model dynamically generates a dopaminergic signal with realistic firing rates and exploits this signal to modulate the plasticity of synapses as a third factor. The predictions of our proposed plasticity dynamics are in good agreement with experimental results with respect to dopamine, pre- and post-synaptic activity. An analytical mapping from the parameters of our proposed plasticity dynamics to those of the classical discrete-time TD algorithm reveals that the biological constraints of the dopaminergic signal entail a modified TD algorithm with self-adapting learning parameters and an adapting offset. We show that the neuronal network is able to learn a task with sparse positive rewards as fast as the corresponding classical discrete-time TD algorithm. However, the performance of the neuronal network is impaired with respect to the traditional algorithm on a task with both positive and negative rewards and breaks down entirely on a task with purely negative rewards. Our model demonstrates that the asymmetry of a realistic dopaminergic signal enables TD learning when learning is driven by positive rewards but not when driven by negative rewards. PMID:21589888
Autonomous Motion Learning for Intra-Vehicular Activity Space Robot

NASA Astrophysics Data System (ADS)

Watanabe, Yutaka; Yairi, Takehisa; Machida, Kazuo

Space robots will be needed in the future space missions. So far, many types of space robots have been developed, but in particular, Intra-Vehicular Activity (IVA) space robots that support human activities should be developed to reduce human-risks in space. In this paper, we study the motion learning method of an IVA space robot with the multi-link mechanism. The advantage point is that this space robot moves using reaction force of the multi-link mechanism and contact forces from the wall as space walking of an astronaut, not to use a propulsion. The control approach is determined based on a reinforcement learning with the actor-critic algorithm. We demonstrate to clear effectiveness of this approach using a 5-link space robot model by simulation. First, we simulate that a space robot learn the motion control including contact phase in two dimensional case. Next, we simulate that a space robot learn the motion control changing base attitude in three dimensional case.
Reflection-on-Action in Qualitative Research: A Critical Self-Appraisal Rubric for Deconstructing Research

ERIC Educational Resources Information Center

Stynes, Martin; Murphy, Timothy; McNamara, Gerry; O'Hara, Joe

2018-01-01

In this paper, four critical friends meet to discuss qualitative research practices. Together they put one of their own case studies under the knife and deconstruct it to investigate the possibilities that knowledge work is complicated not only by the dynamics of socially constructed enterprises and the actors involved therein, but by the…
Changing the Culture of Academic Medicine: Critical Mass or Critical Actors?

PubMed

Helitzer, Deborah L; Newbill, Sharon L; Cardinali, Gina; Morahan, Page S; Chang, Shine; Magrane, Diane

2017-05-01

By 2006, women constituted 34% of academic medical faculty, reaching a critical mass. Theoretically, with critical mass, culture and policy supportive of gender equity should be evident. We explore whether having a critical mass of women transforms institutional culture and organizational change. Career development program participants were interviewed to elucidate their experiences in academic health centers (AHCs). Focus group discussions were held with institutional leaders to explore their perceptions about contemporary challenges related to gender and leadership. Content analysis of both data sources revealed points of convergence. Findings were interpreted using the theory of critical mass. Two nested domains emerged: the individual domain included the rewards and personal satisfaction of meaningful work, personal agency, tensions between cultural expectations of family and academic roles, and women's efforts to work for gender equity. The institutional domain depicted the sociocultural environment of AHCs that shaped women's experience, both personally and professionally, lack of institutional strategies to engage women in organizational initiatives, and the influence of one leader on women's ascent to leadership. The predominant evidence from this research demonstrates that the institutional barriers and sociocultural environment continue to be formidable obstacles confronting women, stalling the transformational effects expected from achieving a critical mass of women faculty. We conclude that the promise of critical mass as a turning point for women should be abandoned in favor of "critical actor" leaders, both women and men, who individually and collectively have the commitment and power to create gender-equitable cultures in AHCs.
A Robust Cooperated Control Method with Reinforcement Learning and Adaptive H∞ Control

NASA Astrophysics Data System (ADS)

Obayashi, Masanao; Uchiyama, Shogo; Kuremoto, Takashi; Kobayashi, Kunikazu

This study proposes a robust cooperated control method combining reinforcement learning with robust control to control the system. A remarkable characteristic of the reinforcement learning is that it doesn't require model formula, however, it doesn't guarantee the stability of the system. On the other hand, robust control system guarantees stability and robustness, however, it requires model formula. We employ both the actor-critic method which is a kind of reinforcement learning with minimal amount of computation to control continuous valued actions and the traditional robust control, that is, H∞ control. The proposed system was compared method with the conventional control method, that is, the actor-critic only used, through the computer simulation of controlling the angle and the position of a crane system, and the simulation result showed the effectiveness of the proposed method.
Neural correlates of non-verbal social interactions: a dual-EEG study.

PubMed

Ménoret, Mathilde; Varnet, Léo; Fargier, Raphaël; Cheylus, Anne; Curie, Aurore; des Portes, Vincent; Nazir, Tatjana A; Paulignan, Yves

2014-03-01

Successful non-verbal social interaction between human beings requires dynamic and efficient encoding of others' gestures. Our study aimed at identifying neural markers of social interaction and goal variations in a non-verbal task. For this, we recorded simultaneously the electroencephalogram from two participants (dual-EEG), an actor and an observer, and their arm/hand kinematics in a real face-to-face paradigm. The observer watched "biological actions" performed by the human actor and "non-biological actions" performed by a robot. All actions occurred within an interactive or non-interactive context depending on whether the observer had to perform a complementary action or not (e.g., the actor presents a saucer and the observer either places the corresponding cup or does nothing). We analysed the EEG signals of both participants (i.e., beta (~20 Hz) oscillations as an index of cortical motor activity and motor related potentials (MRPs)). We identified markers of social interactions by synchronising EEG to the onset of the actor's movement. Movement kinematics did not differ in the two context conditions and the MRPs of the actor were similar in the two conditions. For the observer, however, an observation-related MRP was measured in all conditions but was more negative in the interactive context over fronto-central electrodes. Moreover, this feature was specific to biological actions. Concurrently, the suppression of beta oscillations was observed in the actor's EEG and the observer's EEG rapidly after the onset of the actor's movement. Critically, this suppression was stronger in the interactive than in the non-interactive context despite the fact that movement kinematics did not differ in the two context conditions. For the observer, this modulation was observed independently of whether the actor was a human or a robot. Our results suggest that acting in a social context induced analogous modulations of motor and sensorimotor regions in observer and actor. Sharing a common goal during an interaction seems thus to evoke a common representation of the global action that includes both actor and observer movements. © 2013 Elsevier Ltd. All rights reserved.
World Health Organization and the search for accountability: a critical analysis of the new framework of engagement with non-state actors.

PubMed

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.
Machinima and Video-Based Soft-Skills Training for Frontline Healthcare Workers.

PubMed

Conkey, Curtis A; Bowers, Clint; Cannon-Bowers, Janis; Sanchez, Alicia

2013-02-01

Multimedia training methods have traditionally relied heavily on video-based technologies, and significant research has shown these to be very effective training tools. However, production of video is time and resource intensive. Machinima technologies are based on videogaming technology. Machinima technology allows videogame technology to be manipulated into unique scenarios based on entertainment or training and practice applications. Machinima is the converting of these unique scenarios into video vignettes that tell a story. These vignettes can be interconnected with branching points in much the same way that education videos are interconnected as vignettes between decision points. This study addressed the effectiveness of machinima-based soft-skills education using avatar actors versus the traditional video teaching application using human actors in the training of frontline healthcare workers. This research also investigated the difference between presence reactions when using avatar actor-produced video vignettes as compared with human actor-produced video vignettes. Results indicated that the difference in training and/or practice effectiveness is statistically insignificant for presence, interactivity, quality, and the skill of assertiveness. The skill of active listening presented a mixed result indicating the need for careful attention to detail in situations where body language and facial expressions are critical to communication. This study demonstrates that a significant opportunity exists for the exploitation of avatar actors in video-based instruction.
The 2011 Estonian High School Language Reform in the Context of Critical Language Policy and Planning

ERIC Educational Resources Information Center

Skerrett, Delaney Michael

2014-01-01

This paper seeks to situate Estonian language use and policy within the emerging field of critical language policy and planning (CLPP) by investigating the discourses that frame linguistic behaviour. This done by way of an analysis of a series of interviews carried out with key actors in language policy in Estonia. The discourses framing language…
Teachers as Policy Actors: Co-Creating and Enacting Critical Inquiry in Secondary Health and Physical Education

ERIC Educational Resources Information Center

Alfrey, Laura; O'Connor, Justen; Jeanes, Ruth

2017-01-01

Background: Critical inquiry approaches have been presented as one way of enhancing relevance in school-based education, and there have been calls from academia for its systematic use within health and physical education (HPE). Purpose: This research explored how three Secondary HPE teachers coconstructed and enacted a unit of work (Take Action)…
The Perceived Value of Passive Animal Health Surveillance: The Case of Highly Pathogenic Avian Influenza in Vietnam.

PubMed

Delabouglise, A; Antoine-Moussiaux, N; Phan, T D; Dao, D C; Nguyen, T T; Truong, B D; Nguyen, X N T; Vu, T D; Nguyen, K V; Le, H T; Salem, G; Peyre, M

2016-03-01

Economic evaluations are critical for the assessment of the efficiency and sustainability of animal health surveillance systems and the improvement of their efficiency. Methods identifying and quantifying costs and benefits incurred by public and private actors of passive surveillance systems (i.e. actors of veterinary authorities and private actors who may report clinical signs) are needed. This study presents the evaluation of perceived costs and benefits of highly pathogenic avian influenza (HPAI) passive surveillance in Vietnam. Surveys based on participatory epidemiology methods were conducted in three provinces in Vietnam to collect data on costs and benefits resulting from the reporting of HPAI suspicions to veterinary authorities. A quantitative tool based on stated preference methods and participatory techniques was developed and applied to assess the non-monetary costs and benefits. The study showed that poultry farmers are facing several options regarding the management of HPAI suspicions, besides reporting the following: treatment, sale or destruction of animals. The option of reporting was associated with uncertain outcome and transaction costs. Besides, actors anticipated the release of health information to cause a drop of markets prices. This cost was relevant at all levels, including farmers, veterinary authorities and private actors of the upstream sector (feed, chicks and medicine supply). One benefit associated with passive surveillance was the intervention of public services to clean farms and the environment to limit the disease spread. Private actors of the poultry sector valued information on HPAI suspicions (perceived as a non-monetary benefit) which was mainly obtained from other private actors and media. © 2015 The Authors. Zoonoses and Public Health Published by Blackwell Verlag GmbH.
Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning.

PubMed

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
Transnational Corporations as ‘Keystone Actors’ in Marine Ecosystems

PubMed Central

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. PMID:26017777

Building on common ground to address biodiversity conflicts and foster collaboration in environmental management.

PubMed

Lecuyer, Lou; White, Rehema M; Schmook, Birgit; Calmé, Sophie

2018-08-15

Conservation biology faces critical challenges that require collaborative approaches, including novel strategies to support interactions among actors in biodiversity conflicts. The goals of this study were to investigate the concept of common ground across multiple issues and to explore its practical application for the support of environmental management. We conceptually defined common ground as the areas of relevance underlying the suite of issues expressed by people regarding environmental management in a particular context. We then empirically tested this in the Calakmul region of Mexico, where the complex socio-historical context and high biodiversity have created environmental management challenges that are now being addressed by a local, multi-stakeholder management board. We conducted 26 open interviews with members of the board and a further round of quantitative prioritisation of issues raised. Using a coding process designed to reveal common ground, we categorized the issues at four levels ranging from coarse to fine (themes, topics, sub-topics and perspectives). We then analysed two levels, topics (n = 14 issues) and sub-topics (n = 51 issues). To do so, we built common ground matrices to identify and analyze common ground among actors and across issues. First, cluster and non-metrical data analyses revealed the diversity of actor positions and the lack of consistent grouping among actors by occupational activity. This demonstrated that focusing on actors' differences might be misleading, and that actors' views were not closely aligned with their roles. Second, we located issues according to their levels of common ground and importance among actors. We showed that by not focusing on single issue conflicts, the identification of common ground across multiple issues can pinpoint synergies. We then proposed a framework for collaboration that prioritizes issues of high importance with greater common ground (e.g. sustainable resource use activities), to support the development of trust and norms of reciprocity among actors, strengthening the potential for future cooperation. By adopting this approach, environmental managers could support the initial stages of collaborative conservation strategies, engaging with other actors to seek common ground, avoid the creation of polarised groups and help effectively manage biodiversity conflicts. Copyright © 2018 Elsevier Ltd. All rights reserved.
Integrating views on support for mid-level health worker performance: a concept mapping study with regional health system actors in rural Guatemala.

PubMed

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 require support, including managers and community-level collaborators. Organizational climate is critical for making auxiliary nurses feel supported, and greater attention to improving the quality of hierarchical relationships is needed in LMIC settings. The participatory nature of the concept-mapping process enabled health system actors to collaborate in co-production of context-specific knowledge needed to guide efforts to strengthen performance in a vulnerable region.
Influence versus intent for predictive analytics in situation awareness

NASA Astrophysics Data System (ADS)

Cui, Biru; Yang, Shanchieh J.; Kadar, Ivan

2013-05-01

Predictive analytics in situation awareness requires an element to comprehend and anticipate potential adversary activities that might occur in the future. Most work in high level fusion or predictive analytics utilizes machine learning, pattern mining, Bayesian inference, and decision tree techniques to predict future actions or states. The emergence of social computing in broader contexts has drawn interests in bringing the hypotheses and techniques from social theory to algorithmic and computational settings for predictive analytics. This paper aims at answering the question on how influence and attitude (some interpreted such as intent) of adversarial actors can be formulated and computed algorithmically, as a higher level fusion process to provide predictions of future actions. The challenges in this interdisciplinary endeavor include drawing existing understanding of influence and attitude in both social science and computing fields, as well as the mathematical and computational formulation for the specific context of situation to be analyzed. The study of `influence' has resurfaced in recent years due to the emergence of social networks in the virtualized cyber world. Theoretical analysis and techniques developed in this area are discussed in this paper in the context of predictive analysis. Meanwhile, the notion of intent, or `attitude' using social theory terminologies, is a relatively uncharted area in the computing field. Note that a key objective of predictive analytics is to identify impending/planned attacks so their `impact' and `threat' can be prevented. In this spirit, indirect and direct observables are drawn and derived to infer the influence network and attitude to predict future threats. This work proposes an integrated framework that jointly assesses adversarial actors' influence network and their attitudes as a function of past actions and action outcomes. A preliminary set of algorithms are developed and tested using the Global Terrorism Database (GTD). Our results reveals the benefits to perform joint predictive analytics with both attitude and influence. At the same time, we discover significant challenges in deriving influence and attitude from indirect observables for diverse adversarial behavior. These observations warrant further investigation of optimal use of influence and attitude for predictive analytics, as well as the potential inclusion of other environmental or capability elements for the actors.
Global health funding: how much, where it comes from and where it goes.

PubMed

McCoy, David; Chand, Sudeep; Sridhar, Devi

2009-11-01

Global health funding has increased in recent years. This has been accompanied by a proliferation in the number of global health actors and initiatives. This paper describes the state of global heath finance, taking into account government and private sources of finance, and raises and discusses a number of policy issues related to global health governance. A schematic describing the different actors and three global health finance functions is used to organize the data presented, most of which are secondary data from the published literature and annual reports of relevant actors. In two cases, we also refer to currently unpublished primary data that have been collected by authors of this paper. Among the findings are that the volume of official development assistance for health is frequently inflated; and that data on private sources of global health finance are inadequate but indicate a large and important role of private actors. The fragmented, complicated, messy and inadequately tracked state of global health finance requires immediate attention. In particular it is necessary to track and monitor global health finance that is channelled by and through private sources, and to critically examine who benefits from the rise in global health spending.
Internet Governance and National Security

DTIC Science & Technology

2012-01-01

the conflict created by headline- grabbing exploits of ad hoc hacker networks or nation-state-inspired cor porate espionage.5 Malicious actors add...governance of critical Internet re sources and their impact on US national security are often overlooked. Foreign efforts to alter the technical...crime, espio nage, and other forms of cyber conflict rather than on the issues related to governance of critical Internet resources, development of
Reinforcement active learning in the vibrissae system: optimal object localization.

PubMed

Gordon, Goren; Dorfman, Nimrod; Ahissar, Ehud

2013-01-01

Rats move their whiskers to acquire information about their environment. It has been observed that they palpate novel objects and objects they are required to localize in space. We analyze whisker-based object localization using two complementary paradigms, namely, active learning and intrinsic-reward reinforcement learning. Active learning algorithms select the next training samples according to the hypothesized solution in order to better discriminate between correct and incorrect labels. Intrinsic-reward reinforcement learning uses prediction errors as the reward to an actor-critic design, such that behavior converges to the one that optimizes the learning process. We show that in the context of object localization, the two paradigms result in palpation whisking as their respective optimal solution. These results suggest that rats may employ principles of active learning and/or intrinsic reward in tactile exploration and can guide future research to seek the underlying neuronal mechanisms that implement them. Furthermore, these paradigms are easily transferable to biomimetic whisker-based artificial sensors and can improve the active exploration of their environment. Copyright © 2012 Elsevier Ltd. All rights reserved.
Real-time marker-free motion capture system using blob feature analysis

NASA Astrophysics Data System (ADS)

Park, Chang-Joon; Kim, Sung-Eun; Kim, Hong-Seok; Lee, In-Ho

2005-02-01

This paper presents a real-time marker-free motion capture system which can reconstruct 3-dimensional human motions. The virtual character of the proposed system mimics the motion of an actor in real-time. The proposed system captures human motions by using three synchronized CCD cameras and detects the root and end-effectors of an actor such as a head, hands, and feet by exploiting the blob feature analysis. And then, the 3-dimensional positions of end-effectors are restored and tracked by using Kalman filter. At last, the positions of the intermediate joint are reconstructed by using anatomically constrained inverse kinematics algorithm. The proposed system was implemented under general lighting conditions and we confirmed that the proposed system could reconstruct motions of a lot of people wearing various clothes in real-time stably.
Inherit the policy: A sociocultural approach to understanding evolutionary biology policy in South Carolina

NASA Astrophysics Data System (ADS)

Moore, Gregory D.

South Carolina biology Indicator 5.6 calls for students to "Summarize ways that scientists use data from a variety of sources to investigate and critically analyze aspects of evolutionary theory" (South Carolina Department of Education, 2006). Levinson and Sutton (2001) offered a sociocultural approach to policy that considers cultural and historical influences at all levels of the policy process. Lipsky (1980/2010) and others have identified teachers as de facto policy makers, exercising broad discretion in the execution of their work. This study looks to Ajzen's Theory of Planned Behavior as an initial framework to inform how evolutionary biology policy in South Carolina is conceptualized and understood at different levels of the policy process. The results of this study indicate that actors in the state's evolutionary biology policy process draw upon a myriad of Discourses (Gee, 1999/2005). These Discourses shape cultural dynamics and the agency of the policy actors as they navigate conflicting messages between testing mandates and evolutionary biology policy. There indeed exist gaps between how evolutionary biology policy in South Carolina is conceptualized and understood at the different levels of the policy process. Evidence from this study suggests that appropriation-level policy actors must be brought into the Discourse related to the critical analysis of evolutionary biology and academic freedom legislation must be enacted if South Carolina biology Indicator 5.6 is to realize practical significance in educational policy.
Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

PubMed Central

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
Reinforcement learning using a continuous time actor-critic framework with spiking neurons.

PubMed

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.
Incorporation of perception-based information in robot learning using fuzzy reinforcement learning agents

NASA Astrophysics Data System (ADS)

Zhou, Changjiu; Meng, Qingchun; Guo, Zhongwen; Qu, Wiefen; Yin, Bo

2002-04-01

Robot learning in unstructured environments has been proved to be an extremely challenging problem, mainly because of many uncertainties always present in the real world. Human beings, on the other hand, seem to cope very well with uncertain and unpredictable environments, often relying on perception-based information. Furthermore, humans beings can also utilize perceptions to guide their learning on those parts of the perception-action space that are actually relevant to the task. Therefore, we conduct a research aimed at improving robot learning through the incorporation of both perception-based and measurement-based information. For this reason, a fuzzy reinforcement learning (FRL) agent is proposed in this paper. Based on a neural-fuzzy architecture, different kinds of information can be incorporated into the FRL agent to initialise its action network, critic network and evaluation feedback module so as to accelerate its learning. By making use of the global optimisation capability of GAs (genetic algorithms), a GA-based FRL (GAFRL) agent is presented to solve the local minima problem in traditional actor-critic reinforcement learning. On the other hand, with the prediction capability of the critic network, GAs can perform a more effective global search. Different GAFRL agents are constructed and verified by using the simulation model of a physical biped robot. The simulation analysis shows that the biped learning rate for dynamic balance can be improved by incorporating perception-based information on biped balancing and walking evaluation. The biped robot can find its application in ocean exploration, detection or sea rescue activity, as well as military maritime activity.
Adoption of the Hash algorithm in a conceptual model for the civil registry of Ecuador

NASA Astrophysics Data System (ADS)

Toapanta, Moisés; Mafla, Enrique; Orizaga, Antonio

2018-04-01

The Hash security algorithm was analyzed in order to mitigate information security in a distributed architecture. The objective of this research is to develop a prototype for the Adoption of the algorithm Hash in a conceptual model for the Civil Registry of Ecuador. The deductive method was used in order to analyze the published articles that have a direct relation with the research project "Algorithms and Security Protocols for the Civil Registry of Ecuador" and articles related to the Hash security algorithm. It resulted from this research: That the SHA-1 security algorithm is appropriate for use in Ecuador's civil registry; we adopted the SHA-1 algorithm used in the flowchart technique and finally we obtained the adoption of the hash algorithm in a conceptual model. It is concluded that from the comparison of the DM5 and SHA-1 algorithm, it is suggested that in the case of an implementation, the SHA-1 algorithm is taken due to the amount of information and data available from the Civil Registry of Ecuador; It is determined that the SHA-1 algorithm that was defined using the flowchart technique can be modified according to the requirements of each institution; the model for adopting the hash algorithm in a conceptual model is a prototype that can be modified according to all the actors that make up each organization.
Between the West and Asia: "Humanistic" Japanese Family Planning in the Cold War.

PubMed

Homei, Aya

2016-12-01

This paper studies the formation of Japanese ventures in family planning deployed in various villages in Asia from the 1960s onward in the name of development aid. By critically examining how Asia became the priority area for Japan's international cooperation in family planning and by analyzing how the adjective "humanistic" was used to underscore the originality of Japan's family planning program overseas, the paper shows that visions of Japanese actors were directly informed by Japan's delicate position in Cold War geopolitics, between the imagined West represented by the United States and "underdeveloped" Asia, at a time when Japan was striving to (re-)establish its position in world politics and economics. Additionally, by highlighting subjectivities and intra-Asian networks centered on Japanese actors, the paper also aims to destabilize the current historiography on population control which has hitherto focused either on Western actors in the transnational population control movement or on non-Western "acceptors" subjected to the population control programs.
Between the West and Asia: “Humanistic” Japanese Family Planning in the Cold War1

PubMed Central

Homei, Aya

2017-01-01

This paper studies the formation of Japanese ventures in family planning deployed in various villages in Asia from the 1960s onward in the name of development aid. By critically examining how Asia became the priority area for Japan’s international cooperation in family planning and by analyzing how the adjective “humanistic” was used to underscore the originality of Japan’s family planning program overseas, the paper shows that visions of Japanese actors were directly informed by Japan’s delicate position in Cold War geopolitics, between the imagined West represented by the United States and “underdeveloped” Asia, at a time when Japan was striving to (re-)establish its position in world politics and economics. Additionally, by highlighting subjectivities and intra-Asian networks centered on Japanese actors, the paper also aims to destabilize the current historiography on population control which has hitherto focused either on Western actors in the transnational population control movement or on non-Western “acceptors” subjected to the population control programs. PMID:29046737
Analysing Teachers' Curriculum Implementation from Integrity and Actor-Oriented Perspectives

ERIC Educational Resources Information Center

Penuel, William R.; Phillips, Rachel S.; Harris, Christopher J.

2014-01-01

Curriculum materials and knowledge about curricular purposes and structures are valuable tools that teachers often draw upon to organize instruction and facilitate student learning. Careful analysis of teachers' curriculum implementation and the decision-making that undergirds their curriculum use is critical for fully understanding enactment.…
Policy Images of Teachers: How Influential Actors Construct Images of Teachers

ERIC Educational Resources Information Center

Bulkley, Katrina E.; Gottlieb, Jessica

2017-01-01

Background/Context: Prior research demonstrates that the policy images of critical target populations, which reflect the ways in which they are socially constructed in the political sphere, have important implications for policy prescriptions and design (Cochran-Smith & Fries, 2001; Jansen, 2001; Schneider & Ingram, 1993). In examining the…
A Mixed Methods Approach for Identifying Influence on Public Policy

ERIC Educational Resources Information Center

Weaver-Hightower, Marcus B.

2014-01-01

Fields from political science to critical education policy studies have long explored power relations in policy processes, showing who influences policy agendas, policy creation, and policy implementation. Yet showing particular actors' influence on specific points in a policy text remains a methodological challenge. This article presents a…
Reinforcing Deficit, Journeying toward Equity: Cultural Brokering in Family Engagement Initiatives

ERIC Educational Resources Information Center

Ishimaru, Ann M.; Torres, Kathryn E.; Salvador, Jessica E.; Lott, Joe, II; Williams, Dawn M. Cameron; Tran, Christine

2016-01-01

Families are key actors in efforts to improve student learning and outcomes, but conventional engagement efforts often disregard the cultural and social resources of nondominant families. Individuals who serve as cultural brokers play critical, though complex, roles bridging between schools and families. Using an equitable collaboration lens with…
Competing and Contested Discourses on Citizenship and Civic Praxis

ERIC Educational Resources Information Center

Koyama, Jill

2017-01-01

In this paper, I utilize complementary features of critical discourse analysis (CDA) and Actor-Network Theory (ANT) to trace and investigate issues of power, materiality, and reproduction embedded within notions of citizenship and civic engagement. I interrogate the often narrow and conservative political and public discourses in Arizona that…
Making smart social judgments takes time: infants' recruitment of goal information when generating action predictions.

PubMed

Krogh-Jespersen, Sheila; Woodward, Amanda L

2014-01-01

Previous research has shown that young infants perceive others' actions as structured by goals. One open question is whether the recruitment of this understanding when predicting others' actions imposes a cognitive challenge for young infants. The current study explored infants' ability to utilize their knowledge of others' goals to rapidly predict future behavior in complex social environments and distinguish goal-directed actions from other kinds of movements. Fifteen-month-olds (N = 40) viewed videos of an actor engaged in either a goal-directed (grasping) or an ambiguous (brushing the back of her hand) action on a Tobii eye-tracker. At test, critical elements of the scene were changed and infants' predictive fixations were examined to determine whether they relied on goal information to anticipate the actor's future behavior. Results revealed that infants reliably generated goal-based visual predictions for the grasping action, but not for the back-of-hand behavior. Moreover, response latencies were longer for goal-based predictions than for location-based predictions, suggesting that goal-based predictions are cognitively taxing. Analyses of areas of interest indicated that heightened attention to the overall scene, as opposed to specific patterns of attention, was the critical indicator of successful judgments regarding an actor's future goal-directed behavior. These findings shed light on the processes that support "smart" social behavior in infants, as it may be a challenge for young infants to use information about others' intentions to inform rapid predictions.

Discursive gaps in the implementation of public health policy guidelines in India: the case of HIV testing.

PubMed

Sheikh, Kabir; Porter, John

2010-12-01

The implementation of standardized policy guidelines for care of diseases of public health importance has emerged as a subject of concern in low and middle-income countries (LMIC) globally. We conducted an empirical research study using the interpretive policy analysis approach to diagnose reasons for gaps in the implementation of national guidelines for HIV testing in Indian hospitals. Forty-six in-depth interviews were conducted with actors involved in policy implementation processes in five states of India, including practitioners, health administrators, policy-planners and donors. We found that actors' divergences from their putative roles in implementation were underpinned by their inhabitation of discrete 'systems of meaning' - frameworks for perceiving policy problems, acting and making decisions. Key gaps in policy implementation included conflicts between different actors' ideals of performance of core tasks and conformance with policy, and problems in communicating policy ideas across systems of meaning. These 'discursive' gaps were compounded by the lack of avenues for intellectual intercourse and by unaccounted interrelationships of power between implementing actors. Our findings demonstrate the importance of thinking beyond short-sighted ideals of aligning frontline practices with global policymakers' intentions. Recognising the deliberative nature of implementation, and strengthening discourse and communications between involved actors may be critical to the success of public health policies in Indian and comparable LMIC settings. Effective policy implementation in the long term also necessitates enhancing practitioners' contributions to the policy process, and equipping country public health functionaries to actualize their policy leadership roles. Copyright © 2010 Elsevier Ltd. All rights reserved.
Forest biodiversity monitoring for REDD+: a case study of actors' views in Peru.

PubMed

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+.
Intelligent control and cooperation for mobile robots

NASA Astrophysics Data System (ADS)

Stingu, Petru Emanuel

The topic discussed in this work addresses the current research being conducted at the Automation & Robotics Research Institute in the areas of UAV quadrotor control and heterogenous multi-vehicle cooperation. Autonomy can be successfully achieved by a robot under the following conditions: the robot has to be able to acquire knowledge about the environment and itself, and it also has to be able to reason under uncertainty. The control system must react quickly to immediate challenges, but also has to slowly adapt and improve based on accumulated knowledge. The major contribution of this work is the transfer of the ADP algorithms from the purely theoretical environment to the complex real-world robotic platforms that work in real-time and in uncontrolled environments. Many solutions are adopted from those present in nature because they have been proven to be close to optimal in very different settings. For the control of a single platform, reinforcement learning algorithms are used to design suboptimal controllers for a class of complex systems that can be conceptually split in local loops with simpler dynamics and relatively weak coupling to the rest of the system. Optimality is enforced by having a global critic but the curse of dimensionality is avoided by using local actors and intelligent pre-processing of the information used for learning the optimal controllers. The system model is used for constructing the structure of the control system, but on top of that the adaptive neural networks that form the actors use the knowledge acquired during normal operation to get closer to optimal control. In real-world experiments, efficient learning is a strong requirement for success. This is accomplished by using an approximation of the system model to focus the learning for equivalent configurations of the state space. Due to the availability of only local data for training, neural networks with local activation functions are implemented. For the control of a formation of robots subjected to dynamic communication constraints, game theory is used in addition to reinforcement learning. The nodes maintain an extra set of state variables about all the other nodes that they can communicate to. The more important are trust and predictability. They are a way to incorporate knowledge acquired in the past into the control decisions taken by each node. The trust variable provides a simple mechanism for the implementation of reinforcement learning. For robot formations, potential field based control algorithms are used to generate the control commands. The formation structure changes due to the environment and due to the decisions of the nodes. It is a problem of building a graph and coalitions by having distributed decisions but still reaching an optimal behavior globally.
Event-chain algorithm for the Heisenberg model: Evidence for z≃1 dynamic scaling.

PubMed

Nishikawa, Yoshihiko; Michel, Manon; Krauth, Werner; Hukushima, Koji

2015-12-01

We apply the event-chain Monte Carlo algorithm to the three-dimensional ferromagnetic Heisenberg model. The algorithm is rejection-free and also realizes an irreversible Markov chain that satisfies global balance. The autocorrelation functions of the magnetic susceptibility and the energy indicate a dynamical critical exponent z≈1 at the critical temperature, while that of the magnetization does not measure the performance of the algorithm. We show that the event-chain Monte Carlo algorithm substantially reduces the dynamical critical exponent from the conventional value of z≃2.
Cosmopolitics: towards a new articulation of politics, science and critique.

PubMed

Saito, Hiro

2015-09-01

This paper explores how Ulrich Beck's world-risk-society theory (WRST) and Bruno Latour's Actor-Network Theory (ANT) can be combined to advance a theory of cosmopolitics. On the one hand, WRST helps to examine 'cosmopolitan politics', how actors try to inject cosmopolitanism into existing political practices and institutions anchored in the logic of nationalism. On the other hand, ANT sheds light on 'cosmological politics', how scientists participate in the construction of reality as a reference point for political struggles. By combining the WRST and ANT perspectives, it becomes possible to achieve a more comprehensive understanding of cosmopolitics that takes into account both political and ontological dimensions. The proposed synthesis of WRST and ANT also calls for a renewal of critical theory by making social scientists aware of their performative involvement in cosmopolitics. This renewal prompts social scientists to explore how they can pragmatically support certain ideals of cosmopolitics through continuous dialogues with their objects of study, actors who inhabit different nations and different cosmoses. © London School of Economics and Political Science 2015.
Assessing Perceptions of Interpersonal Behavior with a Video-Based Situational Judgment Test

ERIC Educational Resources Information Center

Golubovich, Juliya; Seybert, Jacob; Martin-Raugh, Michelle; Naemi, Bobby; Vega, Ronald P.; Roberts, Richard D.

2017-01-01

Accurate appraisal of others' behavior is critical for the production of skilled interpersonal behavior. We used an ecologically valid methodology, a video-based situational judgment test with true-false items, to assess the accuracy with which students (N = 947) perceive the interpersonal behavior of actors involved in workplace situations.…
Performativity and Pedagogising Knowledge: Globalising Educational Policy Formation, Dissemination and Enactment

ERIC Educational Resources Information Center

Singh, Parlo

2015-01-01

Critical policy scholars have increasingly turned their attention to: (1) the work of policy actors engaged in globalised and globalising processes of policy formation, (2) the global flows or movements of education policies across multifaceted, hybrid networks of public-private agencies, and (3) the complex politics of global-national policy…
Ideological Critique and Ethical Leadership

ERIC Educational Resources Information Center

Scalia, Joseph, III; Scalia, Lynne

2011-01-01

In this essay, the authors propose that there are certain psychoanalytic insights, at the intersection of the clinical and of critical social theory, which become crucial at precisely the point of recognizing the hidden curriculum. They contend that it is at this point that a political actor, and an educator or educational theorist interested in…
Language Policy, In-Migration and Discursive Debates in Wales

ERIC Educational Resources Information Center

Edwards, Catrin Wyn

2017-01-01

Drawing on theory from critical language policy literature, this article explores the impact of discourses on in-migration on Welsh language policy. By focussing on discursive debates surrounding the subject of in-migration, the article analyses how a range of actors produce and reproduce discourses on in-migration in Wales and how these…
The Political Discourse of the Campaign against Bilingual Education: From "Proposition 227" to "Horne v. Flores"

ERIC Educational Resources Information Center

Yamagami, Mai

2012-01-01

Using the frameworks of critical discourse analysis, representation theory, and legitimization theory, this study examines the political discourse of the campaign for Proposition 227 in California--particularly, the key social representations of languages, their speakers, and the main political actors in the campaign. The analysis examines the…
"Critical Friends": Exploring Arm's Length Actor Relationships to Local Government in Education

ERIC Educational Resources Information Center

Exley, Sonia

2016-01-01

Discussions charting the changing role of local government in education have often focused extensively on "concrete" policy changes over time, but have provided less detail on the contribution to changing power relations of less tangible shifts. Drawing on Foucauldian notions of discourse and governmentality, in this paper, detailed…
Puppets, robots, critics, and actors within a taxonomy of attention for developmental disorders

PubMed Central

DENNIS, MAUREEN; SINOPOLI, KATIA J.; FLETCHER, JACK M.; SCHACHAR, RUSSELL

2008-01-01

This review proposes a new taxonomy of automatic and controlled attention. The taxonomy distinguishes among the role of the attendee (puppet and robot, critic and actor), the attention process (stimulus orienting vs. response control), and the attention operation (activation vs. inhibition vs. adjustment), and identifies cognitive phenotypes by which attention is overtly expressed. We apply the taxonomy to four childhood attention disorders: attention deficit hyperactivity disorder, spina bifida meningomyelocele, traumatic brain injury, and acute lymphoblastic leukemia. Variations in attention are related to specific brain regions that support normal attention processes when intact, and produce disordered attention when impaired. The taxonomy explains group differences in behavioral inattention, hyperactivity, and impulsiveness, as well as medication response. We also discuss issues relevant to theories of the cognitive and neural architecture of attention: functional dissociations within and between automatic and controlled attention; the relative importance of type of brain damage and developmental timing to attention profile; cognitive-energetic models of attention and white matter damage; temporal processing deficits, attention deficits and cerebellar damage; and the issue of cognitive phenotypes as candidate endophenotypes. PMID:18764966
From conflict management to reward-based decision making: actors and critics in primate medial frontal cortex.

PubMed

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.
Physician Communication in Pediatric End-of-Life Care: A Simulation Study.

PubMed

Bateman, Lori Brand; Tofil, Nancy M; White, Marjorie Lee; Dure, Leon S; Clair, Jeffrey Michael; Needham, Belinda L

2016-12-01

The objective of this exploratory study is to describe communication between physicians and the actor parent of a standardized 8-year-old patient in respiratory distress who was nearing the end of life. Thirteen pediatric emergency medicine and pediatric critical care fellows and attendings participated in a high-fidelity simulation to assess physician communication with an actor-parent. Fifteen percent of the participants decided not to initiate life-sustaining technology (intubation), and 23% of participants offered alternatives to life-sustaining care, such as comfort measures. Although 92% of the participants initiated an end-of-life conversation, the quality of that discussion varied widely. Findings indicate that effective physician-parent communication may not consistently occur in cases involving the treatment of pediatric patients at the end of life in emergency and critical care units. The findings in this study, particularly that physician-parent end-of-life communication is often unclear and that alternatives to life-sustaining technology are often not offered, suggest that physicians need more training in both communication and end-of-life care. © The Author(s) 2015.
Policy oscillation is overshooting.

PubMed

Wagner, Paul

2014-04-01

A majority of approximate dynamic programming approaches to the reinforcement learning problem can be categorized into greedy value function methods and value-based policy gradient methods. The former approach, although fast, is well known to be susceptible to the policy oscillation phenomenon. We take a fresh view to this phenomenon by casting, within the context of non-optimistic policy iteration, a considerable subset of the former approach as a limiting special case of the latter. We explain the phenomenon in terms of this view and illustrate the underlying mechanism with artificial examples. We also use it to derive the constrained natural actor-critic algorithm that can interpolate between the aforementioned approaches. In addition, it has been suggested in the literature that the oscillation phenomenon might be subtly connected to the grossly suboptimal performance in the Tetris benchmark problem of all attempted approximate dynamic programming methods. Based on empirical findings, we offer a hypothesis that might explain the inferior performance levels and the associated policy degradation phenomenon, and which would partially support the suggested connection. Finally, we report scores in the Tetris problem that improve on existing dynamic programming based results by an order of magnitude. Copyright © 2014 Elsevier Ltd. All rights reserved.
Off-policy reinforcement learning for H∞ control design.

PubMed

Luo, Biao; Wu, Huai-Ning; Huang, Tingwen

2015-01-01

The H∞ control design problem is considered for nonlinear systems with unknown internal system model. It is known that the nonlinear H∞ control problem can be transformed into solving the so-called Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential equation that is generally impossible to be solved analytically. Even worse, model-based approaches cannot be used for approximately solving HJI equation, when the accurate system model is unavailable or costly to obtain in practice. To overcome these difficulties, an off-policy reinforcement leaning (RL) method is introduced to learn the solution of HJI equation from real system data instead of mathematical system model, and its convergence is proved. In the off-policy RL method, the system data can be generated with arbitrary policies rather than the evaluating policy, which is extremely important and promising for practical systems. For implementation purpose, a neural network (NN)-based actor-critic structure is employed and a least-square NN weight update algorithm is derived based on the method of weighted residuals. Finally, the developed NN-based off-policy RL method is tested on a linear F16 aircraft plant, and further applied to a rotational/translational actuator system.
Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization

PubMed Central

Pohlmeyer, Eric A.; Mahmoudi, Babak; Geng, Shijia; Prins, Noeline W.; Sanchez, Justin C.

2014-01-01

Brain-machine interface (BMI) systems give users direct neural control of robotic, communication, or functional electrical stimulation systems. As BMI systems begin transitioning from laboratory settings into activities of daily living, an important goal is to develop neural decoding algorithms that can be calibrated with a minimal burden on the user, provide stable control for long periods of time, and can be responsive to fluctuations in the decoder’s neural input space (e.g. neurons appearing or being lost amongst electrode recordings). These are significant challenges for static neural decoding algorithms that assume stationary input/output relationships. Here we use an actor-critic reinforcement learning architecture to provide an adaptive BMI controller that can successfully adapt to dramatic neural reorganizations, can maintain its performance over long time periods, and which does not require the user to produce specific kinetic or kinematic activities to calibrate the BMI. Two marmoset monkeys used the Reinforcement Learning BMI (RLBMI) to successfully control a robotic arm during a two-target reaching task. The RLBMI was initialized using random initial conditions, and it quickly learned to control the robot from brain states using only a binary evaluative feedback regarding whether previously chosen robot actions were good or bad. The RLBMI was able to maintain control over the system throughout sessions spanning multiple weeks. Furthermore, the RLBMI was able to quickly adapt and maintain control of the robot despite dramatic perturbations to the neural inputs, including a series of tests in which the neuron input space was deliberately halved or doubled. PMID:24498055
Fuzzy logic and A* algorithm implementation on goat foraging games

NASA Astrophysics Data System (ADS)

Harsani, P.; Mulyana, I.; Zakaria, D.

2018-03-01

Goat foraging is one of the games that apply the search techniques within the scope of artificial intelligence. This game involves several actors including players and enemies. The method used in this research is fuzzy logic and Algorithm A*. Fuzzy logic is used to determine enemy behaviour. The A* algorithm is used to search for the shortest path. There are two input variables: the distance between the player and the enemy and the anger level of the goat. The output variable that has been defined is the enemy behaviour. The A* algorithm is used to determine the closest path between the player and the enemy and define the enemy's escape path to avoid the player. There are 4 types of enemies namely farmers, planters, farmers and sellers of plants. Players are goats that aims to find a meal that is a plant. In this game goats aim to spend grass in the garden in the form of a maze while avoiding the enemy. The game provides an application of artificial intelligence and is made in four difficulty levels.
A Critical Look at Lifelong Learning

ERIC Educational Resources Information Center

Kaya, H. Eylem

2014-01-01

Education, which is a fundamental right of human being, has been transformed into a kind of lifelong prisoning by marketing step by step under the name of lifelong learning. Adult education as one of the most crucial parts of the educational system has also been affected by the global trend of an international actor, the European Union through its…
Doing Cultural Work: Local Postcard Production and Place Identity in a Rural Shire

ERIC Educational Resources Information Center

Mayes, Robyn

2010-01-01

Studies of place construction in the rural studies literature have largely privileged the role of professionals over that of local lay actors. This paper contributes to redressing this imbalance through a critical case-study of lay postcard production in a rural shire. Drawing on original, qualitative research conducted in the Shire of…

Critically Examining the Agency and Professional Identity Development of Novice Dual Language Teachers through Figured Worlds

ERIC Educational Resources Information Center

Varghese, Manka M.; Snyder, Rachel

2018-01-01

Drawing on the concept of figured worlds, we examined how four preservice teachers in a monoglossically oriented teacher preparation program developed their professional identities and sense of agency as dual language teachers. Figured worlds are socially constructed and culturally recognized realms with a story line and actors who also actively…
Using Standardized Clients to Train Social Workers in Intimate Partner Violence Assessment

ERIC Educational Resources Information Center

Forgey, Mary Ann; Badger, Lee; Gilbert, Tracey; Hansen, Johna

2013-01-01

Evidence-based assessment in intimate partner violence (IPV) is critical to the accurate understanding of risk and to the development of interventions that increase safety. In this study standardized clients (actors) were used to train Army civilian social workers in evidence-based assessment of IPV and in the evaluation of the curriculum's…
A Comparison of Community and State College Leader Perceptions of Trustee Involvement in Decision-Making

ERIC Educational Resources Information Center

Morris, Adam A.; Miller, Michael T.

2014-01-01

Trustees play an important role in determining the direction, priorities, and future of higher education institutions, and as such, are critical actors in the decision-making and policy formation process. Numerous anecdotal reports have concluded that there are often competing interests in the use and structure of trustees throughout higher…
Affect Theory and Policy Mobility: Challenges and Possibilities for Critical Policy Research

ERIC Educational Resources Information Center

McKenzie, Marcia

2017-01-01

This article contributes to a growing literature on policy mobilities by proposing that affect be considered in analyses of the movements and transformations of policy over time and space. In particular, collective affective conditions, the role of affect in terms of infrastructures and actors of policy apparatuses and the mediating influences of…
Resource Exploitation and Consumption in the Frame of Education for Sustainable Development in German Geography Textbooks

ERIC Educational Resources Information Center

Kowasch, Matthias

2017-01-01

This paper discusses the representation of resource exploitation and consumption in German geography textbooks. The aim of the paper is to contribute to a critical and reflective understanding of the representation of resource-related issues in textbooks by analyzing two scientific debates (resource curse and actor analysis). The paper shows that…
Black, White, and Rainbow [of Desire]: The Colour of Race-Talk of Pre-Service World Language Educators in Boalian Theatre Workshops

ERIC Educational Resources Information Center

Wooten, Jennifer; Cahnmann-Taylor, Melisa

2014-01-01

This article examines how Boalian Theatre of the Oppressed exercises helped instructors and pre-service teachers navigate the consequences of ventriloquized, racialized discourses in a pre-service world language teacher education classroom. Applying a critical and performative approach, we analyse the mostly White student-actors' varying…
Seeking Democracy Inside, and Outside, of Education: Re-Conceptualizing Perceptions and Experiences Related to Democracy and Education

ERIC Educational Resources Information Center

Carr, Paul R.; Thésée, Gina

2017-01-01

This conceptual article underscores the importance of critical engagement in and through education with a view to enhancing education for democracy (EfD). As a centerpiece to illustrating this connection, we refer to our research project, which engages international actors through an analysis of the perceptions, experiences and perspectives of…
Policy Enactment, Context and Performativity: Ontological Politics and Researching Australian National Partnership Policies

ERIC Educational Resources Information Center

Singh, Parlo; Heimans, Stephen; Glasswell, Kathryn

2014-01-01

Recently, critical policy scholars have used the concepts of enactment, context and performativity as an analytic toolkit to illuminate the complex processes of the policy cycle, in particular, the ways in which a multitude of official education reform policies are taken up, challenged and/or resisted by actors in local, situation-specific…
Educators Have Little Voice in the Texas Inclusion Policy for Children with Disabilities.

ERIC Educational Resources Information Center

Baxt, Virginia P.

This paper explores the education policy adoption process in the Texas legislature and role of professional educators in influencing critical decisions relating to the inclusion of students with disabilities in general education classes. This case study traced the wielders of power, power interactions, the actors and sources of their power, and…
Analysis of Discourse Accent and Discursive Practices I&W

DTIC Science & Technology

2010-09-01

events in a cultural memory. Episodic discourse encompasses general principles, concepts , symbols and rituals used by actors to address problems in...COGNITIVE/INTEGRATIVE COMPLEXITY PROOF-OF- CONCEPT ............................ 51 5.1 Historical Background and Literature...formal training or expertise in critical discourse analysis. In addition, a proof-of- concept was conducted of an existing methodology for tracking
We get the algorithms of our ground truths: Designing referential databases in digital image processing

PubMed Central

Jaton, Florian

2017-01-01

This article documents the practical efforts of a group of scientists designing an image-processing algorithm for saliency detection. By following the actors of this computer science project, the article shows that the problems often considered to be the starting points of computational models are in fact provisional results of time-consuming, collective and highly material processes that engage habits, desires, skills and values. In the project being studied, problematization processes lead to the constitution of referential databases called ‘ground truths’ that enable both the effective shaping of algorithms and the evaluation of their performances. Working as important common touchstones for research communities in image processing, the ground truths are inherited from prior problematization processes and may be imparted to subsequent ones. The ethnographic results of this study suggest two complementary analytical perspectives on algorithms: (1) an ‘axiomatic’ perspective that understands algorithms as sets of instructions designed to solve given problems computationally in the best possible way, and (2) a ‘problem-oriented’ perspective that understands algorithms as sets of instructions designed to computationally retrieve outputs designed and designated during specific problematization processes. If the axiomatic perspective on algorithms puts the emphasis on the numerical transformations of inputs into outputs, the problem-oriented perspective puts the emphasis on the definition of both inputs and outputs. PMID:28950802
Two Trackers Are Better than One: Information about the Co-actor's Actions and Performance Scores Contribute to the Collective Benefit in a Joint Visuospatial Task.

PubMed

Wahn, Basil; Kingstone, Alan; König, Peter

2017-01-01

When humans collaborate, they often distribute task demands in order to reach a higher performance compared to performing the same task alone (i.e., a collective benefit). Here, we tested to what extent receiving information about the actions of a co-actor, performance scores, or receiving both types of information impacts the collective benefit in a collaborative multiple object tracking task. In a between-subject design, pairs of individuals jointly tracked a subset of target objects among several moving distractor objects on a computer screen for a 100 trials. At the end of a trial, pairs received performance scores (Experiment 1), information about their partner's target selections (Experiment 2), or both types of information (Experiment 3). In all experiments, the performance of the pair exceeded the individual performances and the simulated performance of two independent individuals combined. Initially, when receiving both types of information (Experiment 3), pairs achieved the highest performance and divided task demands most efficiently compared to the other two experiments. Over time, performances and the ability to divide task demands for pairs receiving a single type of information converged with those receiving both, suggesting that pairs' coordination strategies become equally effective over time across experiments. However, pairs' performances never reached a theoretical limit of performance in all experiments. For distributing task demands, members of a pair predominantly used a left-right division of labor strategy (i.e., the leftmost targets were tracked by one co-actor while the rightmost targets were tracked by the other co-actor). Overall, findings of the present study suggest that receiving information about actions of a co-actor, performance scores, or receiving both enables pairs to devise effective division of labor strategies in a collaborative visuospatial task. However, when pairs had both types of information available, the formation of division of labor strategies was facilitated, indicating that pairs benefited the most from having both types of information available (i.e., actions about the co-actor and performance scores). Findings are applicable to circumstances in which humans need to perform collaborative visuospatial tasks that are time-critical and/or only allow a very limited exchange of information between co-actors.
Organizing Project-Based Learning in Work Contexts: A Cross-Cultural Cross Analysis of Data from Two Projects

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…
Teacher Governance Reforms and Social Cohesion in South Africa: From Intention to Reality

ERIC Educational Resources Information Center

Salmon, Thomas; Sayed, Yusuf

2016-01-01

The governance of teachers during apartheid in South Africa was characterised by high levels of disparity in teacher distribution and in conditions of labour. In the post-apartheid context policies and interventions that govern teachers are critical, and teachers can be seen to be placed in a central role as actors whose distribution, employment,…
Positive Development, Sense of Belonging, and Support of Peers among Early Adolescents: Perspectives of Different Actors

ERIC Educational Resources Information Center

Drolet, Marie; Arcand, Isabelle

2013-01-01

Trusting relationships at school and within other social networks emerge as protective factors that are crucial to the positive development of early adolescents. School is one of the critical environments where they can develop a sense of belonging. This study involved 20 qualitative interviews with school staff and youth workers recruited from…
Navigating the Tides of Change: Revisiting the Notion of Reflexivity in the Context of Social Learning for Transboundary Collective Experimentation

ERIC Educational Resources Information Center

Bastrup-Birk, Henriette; Wildemeersch, Danny

2011-01-01

Social learning theory in the context of multi-actor engagement tends to relate reflexivity primarily to critical questioning of theories-in-use. We argue that viewing suspensive dialogue and imaginative envisioning as additional stages of reflexivity will serve at least three purposes: prevent over-emphasis on instrumental rationality focusing on…
A Framework for Developing Drug Abuse Prevention Strategies for Young People in Ghetto Areas.

ERIC Educational Resources Information Center

Dembo, Richard; Burgos, William

The present paper considers critical factors in the experience of young people that need to be taken into account in order to understand them and to develop prevention programs. Drawing on research and the literature on socialization, social psychology, and drug abuse, an ethnographically informed social context model of the actor is developed and…
Governance, Accountability, and Organizational Development: Eldercare Unit Managers' and Local Politicians' Experiences of and Responses to State Supervision of Swedish Eldercare.

PubMed

Andersson, Katarina; Hanberger, Anders; Nygren, Lennart

2018-02-22

This article explores how local politicians and care unit managers in Swedish eldercare experience and respond to state supervision (SSV). Twelve politicians and twelve managers in 15 previously inspected municipalities were interviewed about their experiences of and reactions to SSV in relation to their views of care quality and routines in eldercare practice. The findings indicate that local managers and political chairs perceived SSV in eldercare positively at a superficial level but were critical of and disappointed with specific aspects of it. In terms of (a) governance, chairs and managers said SSV strengthened implementation of national policies via local actors, but they were critical of SSV's narrow focus on control and flaws in eldercare practice. With regard to (b) accountability, SSV was seen as limited to accountability for finances and systemic performance, and regarding (c) organizational development, SSV was seen as limited to improving routines and compliance with legislation, while local definitions of quality are broader than that. In general, local actors regarded SSV as improving administrative aspects and routines in practice but ignoring the relational content of eldercare quality.
What should we call instruments commonly known as payments for environmental services? A review of the literature and a proposal.

PubMed

Shelley, Barry G

2011-02-01

Researchers, policy makers, and practitioners have used various terms to describe instruments that reward the stewardship of ecosystem services that benefit "external" actors. Payments for environmental services, or PES, has been the predominant name. However, critics have challenged both the payments and environmental components of this nomenclature, most commonly proposing markets, compensation, or rewards as alternatives for the former, and ecosystem for the latter. Additional questions arise regarding what to call the agents directly involved in the transaction: sellers and buyers, or stewards and beneficiaries? For some, concerns about this terminology have emerged from so-called "pro-poor PES" debates that ask if actors could and should incorporate poverty alleviation goals into PES instruments. This review of the modulating use of terms and the arguments about which best fit theory and experience points to the key policy and ethical issues at stake as PES programs face critical and timely questions about the direction they will head. The author contends that the choices of terms will influence that direction and proposes a new alternative-rewards for ecosystem service stewardship (RESS)-that better encompasses pro-poor options. © 2011 New York Academy of Sciences.
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming.

PubMed

Sahoo, Avimanyu; Xu, Hao; Jagannathan, Sarangapani

2016-09-01

This paper presents an event-triggered near optimal control of uncertain nonlinear discrete-time systems. Event-driven neurodynamic programming (NDP) is utilized to design the control policy. A neural network (NN)-based identifier, with event-based state and input vectors, is utilized to learn the system dynamics. An actor-critic framework is used to learn the cost function and the optimal control input. The NN weights of the identifier, the critic, and the actor NNs are tuned aperiodically once every triggered instant. An adaptive event-trigger condition to decide the trigger instants is derived. Thus, a suitable number of events are generated to ensure a desired accuracy of approximation. A near optimal performance is achieved without using value and/or policy iterations. A detailed analysis of nontrivial inter-event times with an explicit formula to show the reduction in computation is also derived. The Lyapunov technique is used in conjunction with the event-trigger condition to guarantee the ultimate boundedness of the closed-loop system. The simulation results are included to verify the performance of the controller. The net result is the development of event-driven NDP.

Heath Sector Network Governance and State-building in South Kivu, Democratic Republic of Congo.

PubMed

Bwimana, Aembe

2017-12-01

Longstanding patterns of interaction exist between state and non-state actors seeking to improve public health in Democratic Republic of Congo (DRC). DRC is a weak state, and, in many cases, private actors have stepped in to fill the void created by the lack of state health care provision. However, the role of these interactions in creating a governance network in the health sector has been underexplored. Using data from 18 months of qualitative field research, this study aimed to explore governance networks in DRC's health sector, examining how multiple stakeholders work to manage the health system and how the resulting governance network has been relevant for the state-building process. The findings demonstrate that the health sector in South Kivu is emerging as an arena of networked governance based on active partnerships between state institutions and non-state actors. Interactions between state and non-state actors account for the persistence of the health sector in a setting characterized by state weakness. However, networked governance does not function optimally, because, although non-state interventions fill the void where the state falls short, the DRC state has faced the challenge of interacting with partners with fragmented and horizontally competing agendas. Although weak, the shadow of state authority is present in the arena of stakeholders' interactions, as the state plays a determining role by providing a regulatory framework. Overall, the findings show that the interactive engagement of non-state actors contributes to improving institutional capacity through these actors' engagement with state institutions for health system management and institutional development. However, although networked health sector governance does contribute to state capacity, it is difficult to assess the real influence of these interactions on the state-building process in a context of critical fragility, where coordination and alignment have been problematic. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Making transboundary risks governable: reducing complexity, constructing spatial identity, and ascribing capabilities.

PubMed

Lidskog, Rolf; Uggla, Ylva; Soneryd, Linda

2011-03-01

Environmental problems that cross national borders are attracting increasing public and political attention; regulating them involves coordinating the goals and activities of various governments, which often presupposes simplifying and standardizing complex knowledge, and finding ways to manage uncertainty. This article explores how transboundary environmental problems are dealt with to render complex issues governable. By discussing oil pollution in the Baltic Sea and the gas pipeline between Russia and Germany, we elucidate how boundaries are negotiated to make issues governable. Three processes are found to be particularly relevant to how involved actors render complex issues governable: complexity reduction, construction of a spatial identity for an issue, and ascription of capabilities to new or old actor constellations. We conclude that such regulation is always provisional, implying that existing regulation is always open for negotiation and criticism.
An artificial bee colony algorithm for locating the critical slip surface in slope stability analysis

NASA Astrophysics Data System (ADS)

Kang, Fei; Li, Junjie; Ma, Zhenyue

2013-02-01

Determination of the critical slip surface with the minimum factor of safety of a slope is a difficult constrained global optimization problem. In this article, an artificial bee colony algorithm with a multi-slice adjustment method is proposed for locating the critical slip surfaces of soil slopes, and the Spencer method is employed to calculate the factor of safety. Six benchmark examples are presented to illustrate the reliability and efficiency of the proposed technique, and it is also compared with some well-known or recent algorithms for the problem. The results show that the new algorithm is promising in terms of accuracy and efficiency.
Patterns of Negotiation

NASA Astrophysics Data System (ADS)

Sood, Suresh; Pattinson, Hugh

Traditionally, face-to-face negotiations in the real world have not been looked at as a complex systems interaction of actors resulting in a dynamic and potentially emergent system. If indeed negotiations are an outcome of a dynamic interaction of simpler behavior just as with a complex system, we should be able to see the patterns contributing to the complexities of a negotiation under study. This paper and the supporting research sets out to show B2B (business-to-business) negotiations as complex systems of interacting actors exhibiting dynamic and emergent behavior. This paper discusses the exploratory research based on negotiation simulations in which a large number of business students participate as buyers and sellers. The student interactions are captured on video and a purpose built research method attempts to look for patterns of interactions between actors using visualization techniques traditionally reserved to observe the algorithmic complexity of complex systems. Students are videoed negotiating with partners. Each video is tagged according to a recognized classification and coding scheme for negotiations. The classification relates to the phases through which any particular negotiation might pass, such as laughter, aggression, compromise, and so forth — through some 30 possible categories. Were negotiations more or less successful if they progressed through the categories in different ways? Furthermore, does the data depict emergent pathway segments considered to be more or less successful? This focus on emergence within the data provides further strong support for face-to-face (F2F) negotiations to be construed as complex systems.
Identification of Disease Critical Genes Using Collective Meta-heuristic Approaches: An Application to Preeclampsia.

PubMed

Biswas, Surama; Dutta, Subarna; Acharyya, Sriyankar

2017-12-01

Identifying a small subset of disease critical genes out of a large size of microarray gene expression data is a challenge in computational life sciences. This paper has applied four meta-heuristic algorithms, namely, honey bee mating optimization (HBMO), harmony search (HS), differential evolution (DE) and genetic algorithm (basic version GA) to find disease critical genes of preeclampsia which affects women during gestation. Two hybrid algorithms, namely, HBMO-kNN and HS-kNN have been newly proposed here where kNN (k nearest neighbor classifier) is used for sample classification. Performances of these new approaches have been compared with other two hybrid algorithms, namely, DE-kNN and SGA-kNN. Three datasets of different sizes have been used. In a dataset, the set of genes found common in the output of each algorithm is considered here as disease critical genes. In different datasets, the percentage of classification or classification accuracy of meta-heuristic algorithms varied between 92.46 and 100%. HBMO-kNN has the best performance (99.64-100%) in almost all data sets. DE-kNN secures the second position (99.42-100%). Disease critical genes obtained here match with clinically revealed preeclampsia genes to a large extent.
Howitzer Ammunition System Procurement (HASP).

DTIC Science & Technology

1991-07-01

machine tools , etc.) * Most critical part of base to reassemble. IPP * Industry to plan round-specific...beyond allowed tolerances. - Conducting tolerance studies and funding machining studies at sul’on "’actors. " Facility development was controlled by the...Manufacturing Balimoy Mfg. of Venice, Inc. Action Manufacturing Co. Lanson Industries Inc. Hercules Aerospace Company CIMA Machine & Tool Co., Inc. Talley Defense Systems Tracor Aerospace Inc. BMY E49030APPBMAC
An Analysis of Virginia Transfer Policy and Articulation Agreements: A Comparative Study of Community College Transfer and Native Students--Enrollments and Outcomes in a Teacher Preparation Program

ERIC Educational Resources Information Center

Huffman, Michael Conway

2012-01-01

Transfer articulation is an important policy issue in Virginia. With increasing economic strains on federal and state budgets, pressure on key actors in higher education, and critical teacher shortages, an opportunity presented itself to investigate state transfer policy and articulation agreements designed to facilitate student transfer.…
Decision Making Analysis: Critical Factors-Based Methodology

DTIC Science & Technology

2010-04-01

the pitfalls associated with current wargaming methods such as assuming a western view of rational values in decision - making regardless of the cultures...Utilization theory slightly expands the rational decision making model as it states that “actors try to maximize their expected utility by weighing the...items to categorize the decision - making behavior of political leaders which tend to demonstrate either a rational or cognitive leaning. Leaders
Boundary Spanners, Network Capital and the Rise of Edu-Businesses: The Case of News Corporation and Its Emerging Education Agenda

ERIC Educational Resources Information Center

Hogan, Anna

2015-01-01

This paper provides a critical analysis of News Corporation and argues that through the acquisition of high profile policy actor, Joel Klein, News Corporation has been able to assemble significant "network capital" to position itself as an entity apparently responsible for the public good and with a role to play in public policymaking.…
Procuring a Sustainable Future: An Action Learning Approach to the Development and Modelling of Ethical and Sustainable Procurement Practices

ERIC Educational Resources Information Center

Boak, George; Watt, Peter; Gold, Jeff; Devins, David; Garvey, Robert

2016-01-01

This paper contributes to an understanding of the processes by which organisational actors learn how to affect positive and sustainable social change in their local region through action learning, action research and appreciative inquiry. The paper is based on a critically reflective account of key findings from an ongoing action research project,…
What drives political commitment for nutrition? A review and framework synthesis to inform the United Nations Decade of Action on Nutrition.

PubMed

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 networks that are responsive to the multifactorial, multilevel and dynamic political systems in which they operate and attempt to influence. Accelerating the formation and effectiveness of such networks over the Nutrition Decade should be a core task for all actors involved.
What drives political commitment for nutrition? A review and framework synthesis to inform the United Nations Decade of Action on Nutrition

PubMed Central

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, resourced and strongly led nutrition actor networks that are responsive to the multifactorial, multilevel and dynamic political systems in which they operate and attempt to influence. Accelerating the formation and effectiveness of such networks over the Nutrition Decade should be a core task for all actors involved. PMID:29527338
Predicting psychosis across diagnostic boundaries: Behavioral and computational modeling evidence for impaired reinforcement learning in schizophrenia and bipolar disorder with a history of psychosis.

PubMed

Strauss, Gregory P; Thaler, Nicholas S; Matveeva, Tatyana M; Vogel, Sally J; Sutton, Griffin P; Lee, Bern G; Allen, Daniel N

2015-08-01

There is increasing evidence that schizophrenia (SZ) and bipolar disorder (BD) share a number of cognitive, neurobiological, and genetic markers. Shared features may be most prevalent among SZ and BD with a history of psychosis. This study extended this literature by examining reinforcement learning (RL) performance in individuals with SZ (n = 29), BD with a history of psychosis (BD+; n = 24), BD without a history of psychosis (BD-; n = 23), and healthy controls (HC; n = 24). RL was assessed through a probabilistic stimulus selection task with acquisition and test phases. Computational modeling evaluated competing accounts of the data. Each participant's trial-by-trial decision-making behavior was fit to 3 computational models of RL: (a) a standard actor-critic model simulating pure basal ganglia-dependent learning, (b) a pure Q-learning model simulating action selection as a function of learned expected reward value, and (c) a hybrid model where an actor-critic is "augmented" by a Q-learning component, meant to capture the top-down influence of orbitofrontal cortex value representations on the striatum. The SZ group demonstrated greater reinforcement learning impairments at acquisition and test phases than the BD+, BD-, and HC groups. The BD+ and BD- groups displayed comparable performance at acquisition and test phases. Collapsing across diagnostic categories, greater severity of current psychosis was associated with poorer acquisition of the most rewarding stimuli as well as poor go/no-go learning at test. Model fits revealed that reinforcement learning in SZ was best characterized by a pure actor-critic model where learning is driven by prediction error signaling alone. In contrast, BD-, BD+, and HC were best fit by a hybrid model where prediction errors are influenced by top-down expected value representations that guide decision making. These findings suggest that abnormalities in the reward system are more prominent in SZ than BD; however, current psychotic symptoms may be associated with reinforcement learning deficits regardless of a Diagnostic and Statistical Manual of Mental Disorders (5th Edition; American Psychiatric Association, 2013) diagnosis. (c) 2015 APA, all rights reserved).
Global Surgery 2030: a roadmap for high income country actors.

PubMed

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.
Consensus and contention in the priority setting process: examining the health sector in Uganda.

PubMed

Colenbrander, Sarah; Birungi, Charles; Mbonye, Anthony K

2015-06-01

Health priority setting is a critical and contentious issue in low-income countries because of the high burden of disease relative to the limited resource envelope. Many sophisticated quantitative tools and policy frameworks have been developed to promote transparent priority setting processes and allocative efficiency. However, low-income countries frequently lack effective governance systems or implementation capacity, so high-level priorities are not determined through evidence-based decision-making processes. This study uses qualitative research methods to explore how key actors' priorities differ in low-income countries, using Uganda as a case study. Human resources for health, disease prevention and family planning emerge as the common priorities among actors in the health sector (although the last of these is particularly emphasized by international agencies) because of their contribution to the long-term sustainability of health-care provision. Financing health-care services is the most disputed issue. Participants from the Ugandan Ministry of Health preferentially sought to increase net health expenditure and government ownership of the health sector, while non-state actors prioritized improving the efficiency of resource use. Ultimately it is apparent that the power to influence national health outcomes lies with only a handful of decision-makers within key institutions in the health sector, such as the Ministries of Health, the largest bilateral donors and the multilateral development agencies. These power relations reinforce the need for ongoing research into the paradigms and strategic interests of these actors. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved.
Global Surgery 2030: a roadmap for high income country actors

PubMed Central

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
Mentat/A: Medium grain parallel processing

NASA Technical Reports Server (NTRS)

Grimshaw, Andrew S.

1992-01-01

The objective of this project is to test the Algorithm to Architecture Mapping Model (ATAMM) firing rules using the Mentat run-time system and the Mentat Programming Language (MPL). A special version of Mentat, Mentat/A (Mentat/ATAMM) was constructed. This required changes to: (1) modify the run-time system to control queue length and inhibit actor firing until required data tokens are available and space is available in the input queues of all of the direct descendent actors; (2) disallow the specification of persistent object classes in the MPL; and (3) permit only decision free graphs in the MPL. We were successful in implementing the spirit of the plan, although some goals changed as we came to better understand the problem. We report on what we accomplished and the lessons we learned. The Mentat/A run-time system is discussed, and we briefly present the compiler. We present results for three applications and conclude with a summary and some observations. Appendix A contains a list of technical reports and published papers partially supported by the grant. Appendix B contains listings for the three applications.
Critical consciousness development and political participation among marginalized youth.

PubMed

Diemer, Matthew A; Li, Cheng-Hsien

2011-01-01

Given associations between critical consciousness and positive developmental outcomes, and given racial, socioeconomic, and generational disparities in political participation, this article examined contextual antecedents of critical consciousness (composed of sociopolitical control and social action) and its consequences for 665 marginalized youth's (ages 15-25) voting behavior. A multiple indicator and multiple causes (MIMIC) model examined racial, ethnic, and age differences in the measurement and means of latent constructs. The structural model suggested that parental and peer sociopolitical support predicts sociopolitical control and social action, which in turn predicts voting behavior, while controlling for civic and political knowledge, race/ethnicity, and age. This illuminates how micro-level actors foster critical consciousness and how the perceived capacity to effect social change and social action participation may redress voting disparities. © 2011 The Authors. Child Development © 2011 Society for Research in Child Development, Inc.
Testing algorithms for critical slowing down

NASA Astrophysics Data System (ADS)

Cossu, Guido; Boyle, Peter; Christ, Norman; Jung, Chulwoo; Jüttner, Andreas; Sanfilippo, Francesco

2018-03-01

We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Both algorithms are designed to travel much farther in the Hamiltonian phase space for each trajectory and reduce the autocorrelations among physical observables thus tackling the critical slowing down towards the continuum limit. We present a comparison of costs of the new algorithms with the standard HMC evolution for pure gauge fields, studying the autocorrelation times for various quantities including the topological charge.
Acting discursively: the development of UK organic food and farming policy networks.

PubMed

TOMLINSON, Isobel Jane

2010-01-01

This paper documents the early evolution of UK organic food and farming policy networks and locates this empirical focus in a theoretical context concerned with understanding the contemporary policy-making process. While policy networks have emerged as a widely acknowledged empirical manifestation of governance, debate continues as to the concept's explanatory utility and usefulness in situations of network and policy transformation since, historically, policy networks have been applied to "static" circumstances. Recognizing this criticism, and in drawing on an interpretivist perspective, this paper sees policy networks as enacted by individual actors whose beliefs and actions construct the nature of the network. It seeks to make links between the characteristics of the policy network and the policy outcomes through the identification of discursively constructed "storylines" that form a tool for consensus building in networks. This study analyses the functioning of the organic policy networks through the discursive actions of policy-network actors.

Success in Kashmir: a positive trend in civil-military integration during humanitarian assistance operations.

PubMed

Thompson, Wiley C

2010-01-01

The modern cast of disaster relief actors includes host nations, non-governmental organisations, private volunteer organisations, military organisations and others. Each group, civilian or military, has valuable skills and experiences critical to disaster relief work. The goal of this paper is to supplement the study of civil-military relief efforts with contemporary anecdotal experience. The paper examines the interaction between US military forces and other disaster relief actors during the 2005 Kashmir earthquake relief effort. The author uses direct observations made while working in Pakistan to contrast the relationships and activities from that effort with other accounts in prevailing scholarly disaster literature and military doctrine. Finally, this paper suggests that the Kashmir model of integration, coordination and transparency of intent creates a framework in which future humanitarian assistance operations could be successfully executed. Recommendations to improve civil-military interaction in future relief efforts will also be addressed.
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.
The Characterization and Measurement of Cyber Warfare, Spring 2008 - Project 08-01

DTIC Science & Technology

2008-05-01

Global Innovation and Strategy Center The Characterization and Measurement of Cyber Warfare Spring 2008 – Project 08-01 May 2008...and Measurement of Cyber Warfare N/A N/A N/A 08-01Dobitz, Kyle Haas, Brad Holtje, Michael Jokerst, Amanda Ochsner, Geoff Silva, Stephanie...research team as critical for purposes of cyber act characterization: Motivation, Intent, Target, Effects, and Actors. cyberspace, cyber warfare , targets
Rolling in the Dough, Running from Reform: An Analysis and Critique of the 1994 Utah Legislative Session and Its Impact on Education.

ERIC Educational Resources Information Center

Johnson, Bob L., Jr.

This paper provides a critical review of the 1994 Utah Legislative session as it relates to public and higher education in the state. The paper discusses the defining contextual features of the 1994 Legislative Session, the agendas of key state educational policy actors for the 1994 session, and significant issues and legislation in the…
Automated fall detection on privacy-enhanced video.

PubMed

Edgcomb, Alex; Vahid, Frank

2012-01-01

A privacy-enhanced video obscures the appearance of a person in the video. We consider four privacy enhancements: blurring of the person, silhouetting of the person, covering the person with a graphical box, and covering the person with a graphical oval. We demonstrate that an automated video-based fall detection algorithm can be as accurate on privacy-enhanced video as on raw video. The algorithm operated on video from a stationary in-home camera, using a foreground-background segmentation algorithm to extract a minimum bounding rectangle (MBR) around the motion in the video, and using time series shapelet analysis on the height and width of the rectangle to detect falls. We report accuracy applying fall detection on 23 scenarios depicted as raw video and privacy-enhanced videos involving a sole actor portraying normal activities and various falls. We found that fall detection on privacy-enhanced video, except for the common approach of blurring of the person, was competitive with raw video, and in particular that the graphical oval privacy enhancement yielded the same accuracy as raw video, namely 0.91 sensitivity and 0.92 specificity.
Mixed Criticality Scheduling for Industrial Wireless Sensor Networks

PubMed Central

Jin, Xi; Xia, Changqing; Xu, Huiting; Wang, Jintao; Zeng, Peng

2016-01-01

Wireless sensor networks (WSNs) have been widely used in industrial systems. Their real-time performance and reliability are fundamental to industrial production. Many works have studied the two aspects, but only focus on single criticality WSNs. Mixed criticality requirements exist in many advanced applications in which different data flows have different levels of importance (or criticality). In this paper, first, we propose a scheduling algorithm, which guarantees the real-time performance and reliability requirements of data flows with different levels of criticality. The algorithm supports centralized optimization and adaptive adjustment. It is able to improve both the scheduling performance and flexibility. Then, we provide the schedulability test through rigorous theoretical analysis. We conduct extensive simulations, and the results demonstrate that the proposed scheduling algorithm and analysis significantly outperform existing ones. PMID:27589741
Revisiting the age of enlightenment from a collective decision making systems perspective

DOE Office of Scientific and Technical Information (OSTI.GOV)

Rodriguez, Marko A; Watkins, Jennifer H

2009-01-01

The ideals of the eighteenth century's Age of Enlightenment are the foundation of modern democracies. The era was characterized by thinkers who promoted progressive social reforms that opposed the long-established aristocracies and monarchies of the time. Prominent examples of such reforms include the establishment of inalienable human rights, self-governing republics, and market capitalism. Twenty-first century democratic nations can benefit from revisiting the systems developed during the Enlightenment and reframing them within the techno-social context of the Information Age. This article explores the application of social algorithms that make use of Thomas Paine's (English: 1737--1809) representatives, Adam Smith's (Scottish: 1723--1790) self-interestedmore » actors, and Marquis de Condorcet's (French: 1743--1794) optimal decision making groups. It is posited that technology-enabled social algorithms can better realize the ideals articulated during the Enlightenment.« less
Image-Based Focusing

NASA Astrophysics Data System (ADS)

Selker, Ted

1983-05-01

Lens focusing using a hardware model of a retina (Reticon RL256 light sensitive array) with a low cost processor (8085 with 512 bytes of ROM and 512 bytes of RAM) was built. This system was developed and tested on a variety of visual stimuli to demonstrate that: a)an algorithm which moves a lens to maximize the sum of the difference of light level on adjacent light sensors will converge to best focus in all but contrived situations. This is a simpler algorithm than any previously suggested; b) it is feasible to use unmodified video sensor arrays with in-expensive processors to aid video camera use. In the future, software could be developed to extend the processor's usefulness, possibly to track an actor by panning and zooming to give a earners operator increased ease of framing; c) lateral inhibition is an adequate basis for determining best focus. This supports a simple anatomically motivated model of how our brain focuses our eyes.
Observers' focus of attention in the simulation of self-perception.

PubMed

Wegner, D M; Finstuen, K

1977-01-01

This research was designed to assess the effects of a manipulation of observers' focus of attention--from a focus on the actor to a focus on the actor's situation--upon observers' attributions of attitude to an actor in a simulation of a forced-compliance cognitive dissonance experiment. Observers induced through empathy instructions to focus attention on the actor's situation inferred less actor attitude positivity than did observers given no specific observational set. In addition, situation-focused observers inferred that the actor's attitude was directly related to reward magnitude, whereas actor-focused observers inferred that the actor's attitude was inversely related to reward magnitude. An extension of self-perception theory, offered as an interpretation of these and other results, suggested that motivation attribution made by actors and observers in dissonance and simulation studies are dependent on focus of attention. The attributions made by actor-focused observers simulate those of objectively self-aware actors and are based upon perceived intrinsic motivation; the attributions of situation-focused observers simulate those of subjectively self-aware actors and are based upon perceived extrinsic motivation.
A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

DOE Office of Scientific and Technical Information (OSTI.GOV)

Madduri, Kamesh; Ediger, David; Jiang, Karl

2009-05-29

We present a new lock-free parallel algorithm for computing betweenness centrality of massive small-world networks. With minor changes to the data structures, our algorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in the HPCS SSCA#2 Graph Analysis benchmark, which has been extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the ThreadStorm processor, and a single-socket Sun multicore server with the UltraSparc T2 processor.more » For a small-world network of 134 million vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.« less
An Optimal Schedule for Urban Road Network Repair Based on the Greedy Algorithm

PubMed Central

Lu, Guangquan; Xiong, Ying; Wang, Yunpeng

2016-01-01

The schedule of urban road network recovery caused by rainstorms, snow, and other bad weather conditions, traffic incidents, and other daily events is essential. However, limited studies have been conducted to investigate this problem. We fill this research gap by proposing an optimal schedule for urban road network repair with limited repair resources based on the greedy algorithm. Critical links will be given priority in repair according to the basic concept of the greedy algorithm. In this study, the link whose restoration produces the ratio of the system-wide travel time of the current network to the worst network is the minimum. We define such a link as the critical link for the current network. We will re-evaluate the importance of damaged links after each repair process is completed. That is, the critical link ranking will be changed along with the repair process because of the interaction among links. We repair the most critical link for the specific network state based on the greedy algorithm to obtain the optimal schedule. The algorithm can still quickly obtain an optimal schedule even if the scale of the road network is large because the greedy algorithm can reduce computational complexity. We prove that the problem can obtain the optimal solution using the greedy algorithm in theory. The algorithm is also demonstrated in the Sioux Falls network. The problem discussed in this paper is highly significant in dealing with urban road network restoration. PMID:27768732
[Singing formant analysis of KunQu actors in their mutation and grown-up].

PubMed

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.
Visualizing common operating picture of critical infrastructure

NASA Astrophysics Data System (ADS)

Rummukainen, Lauri; Oksama, Lauri; Timonen, Jussi; Vankka, Jouko

2014-05-01

This paper presents a solution for visualizing the common operating picture (COP) of the critical infrastructure (CI). The purpose is to improve the situational awareness (SA) of the strategic-level actor and the source system operator in order to support decision making. The information is obtained through the Situational Awareness of Critical Infrastructure and Networks (SACIN) framework. The system consists of an agent-based solution for gathering, storing, and analyzing the information, and a user interface (UI) is presented in this paper. The UI consists of multiple views visualizing information from the CI in different ways. Different CI actors are categorized in 11 separate sectors, and events are used to present meaningful incidents. Past and current states, together with geographical distribution and logical dependencies, are presented to the user. The current states are visualized as segmented circles to represent event categories. Geographical distribution of assets is displayed with a well-known map tool. Logical dependencies are presented in a simple directed graph, and users also have a timeline to review past events. The objective of the UI is to provide an easily understandable overview of the CI status. Therefore, testing methods, such as a walkthrough, an informal walkthrough, and the Situation Awareness Global Assessment Technique (SAGAT), were used in the evaluation of the UI. Results showed that users were able to obtain an understanding of the current state of CI, and the usability of the UI was rated as good. In particular, the designated display for the CI overview and the timeline were found to be efficient.
[Hexa-sabbath. Foreign matter and vital substances, experts and the critical consumer in the FRG during the 1950s and 1960s].

PubMed

Stoff, Heiko

2009-01-01

In the late Fifties and early Sixties the regulation of food additives represented a remarkable turning point in German consumer politics, establishing a debate about decision making and policy advice, altering the discourse of purity and contamination, and inaugurating a new political actor, the organized critical consumer. The amendment of the Food Law in December 1958 functioned as a negotiation process between representatives of science, industry and the state, which was institutionalized in the Senate Commissions of the German Research Foundation. While these Commissions for preservatives, foreign matter and colorants worked behind closed doors, a public discourse about the "toxic condition" of modern life and the negative role of the pharmaceutical and chemical industry gained strength. The debate about the admission of hexamethylenetetramine (hexa) took part at a crucial moment. Hexa was used as a preservative in the fish industry. But its anti microbial effectiveness was caused by the decomposition of hexa to formaldehyde. Despite the commission's verdict against hexa, the lobbying activities of the industry granted it a reprieve. In the media, the case of hexa was seen as a touchstone for the capacity of negotiated decision making and the ability of rational scientists to resist the demands of industry. Finally, in 1963 it was the new political actor of the organized critical consumer, heir and successor to the housewife federations as well as to "purists" advocating life reform, who, supported by the media, enforced the prohibition of hexa as a preservative.
Construal level and free will beliefs shape perceptions of actors' proximal and distal intent

PubMed Central

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
A Graph-Algorithmic Approach for the Study of Metastability in Markov Chains

NASA Astrophysics Data System (ADS)

Gan, Tingyue; Cameron, Maria

2017-06-01

Large continuous-time Markov chains with exponentially small transition rates arise in modeling complex systems in physics, chemistry, and biology. We propose a constructive graph-algorithmic approach to determine the sequence of critical timescales at which the qualitative behavior of a given Markov chain changes, and give an effective description of the dynamics on each of them. This approach is valid for both time-reversible and time-irreversible Markov processes, with or without symmetry. Central to this approach are two graph algorithms, Algorithm 1 and Algorithm 2, for obtaining the sequences of the critical timescales and the hierarchies of Typical Transition Graphs or T-graphs indicating the most likely transitions in the system without and with symmetry, respectively. The sequence of critical timescales includes the subsequence of the reciprocals of the real parts of eigenvalues. Under a certain assumption, we prove sharp asymptotic estimates for eigenvalues (including pre-factors) and show how one can extract them from the output of Algorithm 1. We discuss the relationship between Algorithms 1 and 2 and explain how one needs to interpret the output of Algorithm 1 if it is applied in the case with symmetry instead of Algorithm 2. Finally, we analyze an example motivated by R. D. Astumian's model of the dynamics of kinesin, a molecular motor, by means of Algorithm 2.
A Transatlantic Bargain for the 21st Century: The United States, Europe, and the Transatlantic Alliance

DTIC Science & Technology

2013-09-01

management , and responsible command. The U.S. Army Heritage and Education Center acquires, conserves, and exhibits historical materials for use to support...Continuing multinational Landpower exercises of the kind currently undertaken by USAREUR will be another valuable tool in demonstrating the U.S...de- velopment, and crisis management , make the EU a critical actor in transatlantic security affairs. It must, therefore, be at the center of a
A view from organizational studies.

PubMed

Dopson, Sue

2007-01-01

This presentation highlights the dimensions that organizational studies scholarship would highlight as being critical to furthering knowledge translation research. Attention is drawn to a number of dimensions of organizational complexity: knowledge translation as a processual phenomena, the contestability of knowledge, the existence and influence of multiple actors in healthcare contacts, the influence of professional and cognitive boundaries and the active role of context. It is argued that inclusion of such dimensions may enhance the impact of Estabrooks' work.
China Report, Political, Sociological and Military Affairs.

DTIC Science & Technology

1983-04-29

selected from some 4,000 scenarios. More than 350 noted artists from several dozen countries, including scenario writers, critics, directors, actors and... actresses attended the festival. Outstanding among the plays staged was one called "Food From Trash" which depicts the struggle of workers at a...cessation of China’s civil war as well as our advocacy and the Chinese people’s demand for true democracy. Our reply was captioned "Kuomintang vs
Knowledge and power in policy-making for child survival in Niger.

PubMed

Dalglish, Sarah L; Rodríguez, Daniela C; Harouna, Abdoutan; Surkan, Pamela J

2017-03-01

Calls to enhance the use of scientific evidence in international health and development policy have increased in recent years; however, analytic frameworks for understanding evidence use focus narrowly on scientific research and were created using data and observations nearly exclusively from Western countries. We examine processes of health policy development in a case study of Niger, a low-income West African country that adopted integrated community case management of childhood illness (iCCM) beginning in 2007, resulting in measurable declines in child mortality. Data collection included in-depth interviews with policy actors in Niger (N = 32), document review (N = 103) and direct observation of policy forums (N = 3). Data analysis used process tracing methodology and applied an Aristotelian definition of "knowledge" as 1) episteme (facts), 2) techne (skills) and 3) phronesis (practical wisdom), while also using a critical perspective to understand issues of power. We found sharp differentials in policy-makers' possession and use of codified forms of knowledge (episteme), with Nigerien policy officers' access highly mediated by actors at international agencies. Government policy-makers possessed skills and capacities (techne) to negotiate with donors and deliberate and weigh conflicting considerations; however they lacked capacity and resources to formally evaluate and document programs and thus reliably draw lessons from them. Practical wisdom (phronesis) emerged as key to the iCCM policy enterprise, particularly among Nigerien government actors, who used logical and ethical arguments to make decisions later found to be critical to iCCM's success. While codified knowledge confers power on members of policy discussions who can access it, this represents only one form of knowledge used in the policy process and perhaps not the most important. Future research on evidence-based policy should use broader definitions of evidence or knowledge, examine on how power conditions the use of knowledge, and examine challenges specific to low-resource policy environments. Copyright © 2017 Elsevier Ltd. All rights reserved.

Game of collusions

NASA Astrophysics Data System (ADS)

Malarz, Krzysztof; Kułakowski, Krzysztof

2016-09-01

A new model of collusions in an organization is proposed. Each actor a i = 1 , … , N disposes one unique good g i = 1 , … , N. Each actor ai has also a list of other goods which he/she needs, in order from desired most to those desired less. Finally, each actor ai has also a list of other actors, initially ordered at random. The order in the last list means the order of the access of the actors to the good gi. A pair after a pair of actors tries to make a transaction. This transaction is possible if each of two actors can be shifted upwards in the list of actors possessed by the partner. Our numerical results indicate, that the average time of evolution scales with the number N of actors approximately as N2.9. For each actor, we calculate the Kendall's rank correlation between the order of desired goods and actor's place at the lists of the good's possessors. We also calculate individual utility functions ηi, where goods are weighted according to how strongly they are desired by an actor ai, and how easily they can be accessed by ai. Although the individual utility functions can increase or decrease in the time course, its value averaged over actors and independent simulations does increase in time. This means that the system of collusions is profitable for the members of the organization.
Public Knowledge, Private Minds: Meaning Making on the Pathways of Science Communication

NASA Astrophysics Data System (ADS)

Davis, Pryce R.

Every day people are inundated with news reports about the latest scientific research. The ways in which these texts enlighten or misinform the general public is a central question in both the research literature and discussions in popular culture. However, both research and popular discussion often take on deficit views of these texts, and the capabilities of readers to critically engage with them, and treat them as static, one-way conduits that transfer information to a passive audience. In contrast, I advocate treating popular science texts as the result of a chain of consumption and production that are actively shaped by the varied perspectives of scientists, communicators, and members of the general public. My work envisions all of these actors as science learners who simultaneously act as both producers and consumers of science, and who interact with one another through in-the-moment meaning making. This dissertation examines how the meaning of scientific research is filtered and transformed in moments of interaction and knowledge construction as it moves along this pathway of science communication from scientists to the general public. I present the results of a study that attempts to follow pieces of recent scientific research as they work their way from scientists to publication as popular science news stories, and ultimately to the public. To that end, I collected data from three types of actors involved in the paths of science communication, as well as the texts they read and generate. These actors include (1) the scientists who performed the research, (2) the reporters tasked with writing about it for popular dissemination, and (3) members of the public who must read and interpret the research. The texts I analyze include: peer-reviewed scientific journal articles, university-produced news briefs, popular press science stories, and various text-based conversations between scientists and reporters. Through an analysis of texts, individual interviews, and video-recorded interactions between actors, I demonstrate how individual meaning making shapes scientific understanding and how the problems observed in the public's understanding of science are by-products of properties of the process of science communication itself rather than the fault of individual actors.
The emergence of the vertical birth in Ecuador: an analysis of agenda setting and policy windows for intercultural health

PubMed Central

Llamas, Ana; Mayhew, Susannah

2016-01-01

Maternal mortality continues to claim the lives of thousands of women in Latin America despite the availability of effective treatments to avert maternal death. In the past, efforts to acknowledge cultural diversity in birth practices had not been clearly integrated into policy. However, in Otavalo (Ecuador) a local hospital pioneered the implementation of the ‘Vertical Birth’—a practical manifestation of an intercultural health policy aimed at increasing indigenous women’s access to maternity care. Drawing on agenda-setting theory, this qualitative research explores how the vertical birth practice made it onto the local policy agenda and the processes that allowed actors to seize a window of opportunity allowing the vertical birth practice to emerge. Our results show that the processes that brought about the vertical birth practice took place over a prolonged period of time and resulted from the interplay between various factors. Firstly, a maternal health policy community involving indigenous actors played a key role in identifying maternal mortality as a policy problem, defining its causes and framing it as an indigenous rights issue. Secondly, previous initiatives to address maternal mortality provided a wealth of experience that gave these actors the knowledge and experience to formulate a feasible policy solution and consolidate support from powerful actors. Thirdly, the election of a new government that had incorporated the demands of the indigenous movement opened up a window of opportunity to push intercultural health policies such as the vertical birth. We conclude that the socioeconomic and political changes at both national and local level allowed the meaningful participation of indigenous actors that made a critical contribution to the emergence of the vertical birth practice. These findings can help us advance our knowledge of strategies to set the agenda for intercultural maternal health policy and inform future policy in similar settings. Our results also show that Kingdon’s model was useful in explaining how the VB practice emerged but also that it needs modifications when applied to low and middle income countries. PMID:26758539
A concept in flux: questioning accountability in the context of global health cooperation.

PubMed

Bruen, Carlos; Brugha, Ruairí; Kageni, Angela; Wafula, Francis

2014-12-09

Accountability in global health is a commonly invoked though less commonly questioned concept. Critically reflecting on the concept and how it is put into practice, this paper focuses on the who, what, how, and where of accountability, mapping its defining features and considering them with respect to real-world circumstances. Changing dynamics in global health cooperation - such as the emergence of new health public-private partnerships and the formal inclusion of non-state actors in policy making processes - provides the backdrop to this discussion. Accountability is frequently reduced to one set of actors holding another to account. Changes in the global health landscape and in relations between actors have however made the practice of accountability more complex and contested. Currently undergoing a reframing process, participation and transparency have become core elements of a new accountability agenda alongside evaluation and redress or enforcement mechanisms. However, while accountability is about holding actors responsible for their actions, the mechanisms through which this might be done vary substantially and are far from politically neutral.Accountability in global health cooperation involves multipolar relationships between a large number of stakeholders with varying degrees of power and influence, where not all interests are realised in that relationship. Moreover, accountability differs across finance, programme and governance subfields, where each has its own set of policy processes, institutional structures, accountability relations and power asymmetries to contend with. With reference to the Global Fund to Fight HIV/AIDS, Tuberculosis and Malaria, this paper contributes to discussions on accountability by mapping out key elements of the concept and how it is put into practice, where different types of accountability battle for recognition and legitimacy. In mapping some defining features, accountability in global health cooperation is shown to be a complex problem not necessarily reducible to one set of actors holding another to account. Clear tensions are observed between multi-stakeholder participatory models and more traditional vertical models that prioritise accountability upwards to donors, both of which are embodied in initiatives like the Global Fund. For multi-constituency organisations, this poses challenges not only for future financing but also for future legitimacy.
Basolateral amygdala lesions abolish mutual reward preferences in rats.

PubMed

Hernandez-Lallement, Julen; van Wingerden, Marijn; Schäble, Sandra; Kalenscher, Tobias

2016-01-01

In a recent study, we demonstrated that rats prefer mutual rewards in a Prosocial Choice Task. Here, employing the same task, we show that the integrity of basolateral amygdala was necessary for the expression of mutual reward preferences. Actor rats received bilateral excitotoxic (n=12) or sham lesions (n=10) targeting the basolateral amygdala and were subsequently tested in a Prosocial Choice Task where they could decide between rewarding ("Both Reward") or not rewarding a partner rat ("Own Reward"), either choice yielding identical reward to the actors themselves. To manipulate the social context and control for secondary reinforcement sources, actor rats were paired with either a partner rat (partner condition) or with an inanimate rat toy (toy condition). Sham-operated animals revealed a significant preference for the Both-Reward-option in the partner condition, but not in the toy condition. Amygdala-lesioned animals exhibited significantly lower Both-Reward preferences than the sham group in the partner but not in the toy condition, suggesting that basolateral amygdala was required for the expression of mutual reward preferences. Critically, in a reward magnitude discrimination task in the same experimental setup, both sham-operated and amygdala-lesioned animals preferred large over small rewards, suggesting that amygdala lesion effects were restricted to decision making in social contexts, leaving self-oriented behavior unaffected. Copyright © 2015 Elsevier Inc. All rights reserved.
Research in the real world: Social context and its effects.

PubMed

Levine, Adeline G; Levine, Murray

2014-03-01

Although scientists are supposedly concerned only with the pursuit of scientific truth, it was recognized early on that they have personal and professional agendas and are subject to human fallibilities. Openness allowing the scientific community to oversee each member's work depends a great deal upon publication of scientific work. Research reports are cultural artifacts shaped by social forces. In most instances of theoretically oriented work, the roles making up the social context, the researchers, funding agencies, journal editors, publishers, critics, and consumers of research all tend to be scientists sharing common interests and assumptions. There are many actors in addition to scientists in the social context of evaluative research. The actors-sometimes called stakeholders-include people whose lives may change, politicians, government agencies, private foundations, businesspersons, taxpayers, the mass media, and advocates. These actors have varied interests in the research enterprise, are embedded in varied reference groups, and bring different assumptions and values to the task. Their interactions shape the research product at every step. In this genre of research, the contexts are diverse. To illustrate the generality of the influence of social context, the authors draw on three diverse examples spanning a century: the Love Canal industrial disaster of the late 1970s, the ultimately failed attempt in the early 1900s to transplant the Gary, Indiana, progressive school system to New York City (NYC); and some recent studies of charter school students' academic performance.
[A non-classical approach to medical practices: Michel Foucault and Actor-Network Theory].

PubMed

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.
Personality, communication, and depressive symptoms across the transition to parenthood: A dyadic longitudinal investigation.

PubMed

Marshall, Emma M; Simpson, Jeffry A; Rholes, W Steven

2015-03-01

This study adopted a person (actor) by partner perspective to examine how actor personality traits, partner personality traits, and specific actor by partner personality trait interactions predict actor's depressive symptoms across the first two years of the transition to parenthood. Data were collected from a large sample of new parents (both partners in each couple) 6 weeks before the birth of their first child, and then at 6, 12, 18, and 24 months postpartum. The results revealed that higher actor neuroticism and lower partner agreeableness predicted higher levels of depressive symptoms in actors. Moreover, the specific combination of high actor neuroticism and low partner agreeableness was a particularly problematic combination, which was intensified when prepartum dysfunctional problem-solving communication and aggression existed in the relationship. These results demonstrate the importance of considering certain actor by partner disposition pairings to better understand actors' emotional well-being during major life transitions.
Using Satellite Remote Sensing and Modelling for Insights into N02 Air Pollution and NO2 Emissions

NASA Technical Reports Server (NTRS)

Lamsal, L. N.; Martin, R. V.; Krotkov, N. A.; Bucsela, E. J.; Celarier, E. A.; vanDonkelaar, A.; Parrish, D.

2012-01-01

Nitrogen oxides (NO(x)) are key actors in air quality and climate change. Satellite remote sensing of tropospheric NO2 has developed rapidly with enhanced spatial and temporal resolution since initial observations in 1995. We have developed an improved algorithm and retrieved tropospheric NO2 columns from Ozone Monitoring Instrument. Column observations of tropospheric NO2 from the nadir-viewing satellite sensors contain large contributions from the boundary layer due to strong enhancement of NO2 in the boundary layer. We infer ground-level NO2 concentrations from the OMI satellite instrument which demonstrate significant agreement with in-situ surface measurements. We examine how NO2 columns measured by satellite, ground-level NO2 derived from satellite, and NO(x) emissions obtained from bottom-up inventories relate to world's urban population. We perform inverse modeling analysis of NO2 measurements from OMI to estimate "top-down" surface NO(x) emissions, which are used to evaluate and improve "bottom-up" emission inventories. We use NO2 column observations from OMI and the relationship between NO2 columns and NO(x) emissions from a GEOS-Chem model simulation to estimate the annual change in bottom-up NO(x) emissions. The emission updates offer an improved estimate of NO(x) that are critical to our understanding of air quality, acid deposition, and climate change.
You're a What? Voice Actor

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…
Effect of Acting Experience on Emotion Expression and Recognition in Voice: Non-Actors Provide Better Stimuli than Expected.

PubMed

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.
Air & Space Power Journal (ASPJ) - Africa and Francophonie. Volume 4, Number 1. 1st Quarter 2013

DTIC Science & Technology

2013-01-01

actors. Thus, some argue that “helping to build the capacity of the informal/non-state gover - nance institutions to complement formal/state functions...development, and decent paved roads in northern Mali topped their list. All had family members connected to trade and tourism , and according to most of them...two dollars per day.21 Violence and insecurity deterred nongovernmental organizations, outside investors, and tourism in critical areas plagued by
An intersectionality-based policy analysis framework: critical reflections on a methodology for advancing equity.

PubMed

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.
Who is in control of road safety? A STAMP control structure analysis of the road transport system in Queensland, Australia.

PubMed

Salmon, Paul M; Read, Gemma J M; Stevens, Nicholas J

2016-11-01

Despite significant progress, road trauma continues to represent a global safety issue. In Queensland (Qld), Australia, there is currently a focus on preventing the 'fatal five' behaviours underpinning road trauma (drug and drink driving, distraction, seat belt wearing, speeding, and fatigue), along with an emphasis on a shared responsibility for road safety that spans road users, vehicle manufacturers, designers, policy makers etc. The aim of this article is to clarify who shares the responsibility for road safety in Qld and to determine what control measures are enacted to prevent the fatal five behaviours. This is achieved through the presentation of a control structure model that depicts the actors and organisations within the Qld road transport system along with the control and feedback relationships that exist between them. Validated through a Delphi study, the model shows a diverse set of actors and organisations who share the responsibility for road safety that goes beyond those discussed in road safety policies and strategies. The analysis also shows that, compared to other safety critical domains, there are less formal control structures in road transport and that opportunities exist to add new controls and strengthen existing ones. Relationships that influence rather than control are also prominent. Finally, when compared to other safety critical domains, the strength of road safety controls is brought into question. Copyright © 2016 Elsevier Ltd. All rights reserved.
Vision-based navigation in a dynamic environment for virtual human

NASA Astrophysics Data System (ADS)

Liu, Yan; Sun, Ji-Zhou; Zhang, Jia-Wan; Li, Ming-Chu

2004-06-01

Intelligent virtual human is widely required in computer games, ergonomics software, virtual environment and so on. We present a vision-based behavior modeling method to realize smart navigation in a dynamic environment. This behavior model can be divided into three modules: vision, global planning and local planning. Vision is the only channel for smart virtual actor to get information from the outside world. Then, the global and local planning module use A* and D* algorithm to find a way for virtual human in a dynamic environment. Finally, the experiments on our test platform (Smart Human System) verify the feasibility of this behavior model.
Selectively active markers for solving of the partial occlusion problem in matchmoving and chromakeying workflow

NASA Astrophysics Data System (ADS)

Mazurek, Przemysław

2013-09-01

Matchmoving (Match Moving) is the process used for the estimation of camera movements for further integration of acquired video image with computer graphics. The estimation of movements is possible using pattern recognition, 2D and 3D tracking algorithms. The main problem for the workflow is the partial occlusion of markers by the actor, because manual rotoscoping is necessary for fixing of the chroma-keyed footage. In the paper, the partial occlusion problem is solved using the invented, selectively active electronic markers. The sensor network with multiple infrared links detects occlusion state (no-occlusion, partial, full) and switch LED's based markers.
Depressive Symptoms, Criticism, and Counter-Criticism in Marital Interactions.

PubMed

Trombello, Joseph M; Post, Kristina M; Smith, David A

2018-02-23

Although people with depressive symptoms face criticism, hostility, and rejection in their close relationships, we do not know how they respond. Following interpersonal theories of depression, it might be expected that depressive symptoms would be associated with a tendency to receive and also to express criticism toward one's spouse, and that at least some of this criticism would be a contingent response to criticism received (i.e., "counter-criticism"). However, other research has determined that depressive symptoms/behaviors suppress partner criticism, suggesting that depressed people might respond to partner criticism similarly, by subsequently expressing less criticism. In a sample of 112 married couples, partial correlations, regressions, and Actor-Partner Interdependence Modeling indicated that lower criticism and counter-criticism expression during a laboratory marital interaction task was associated with higher depressive symptoms, especially when such individuals were clinically depressed. Furthermore, during a separate and private Five-Minute Speech Sample, lower criticism by partners was associated with higher depressive symptoms, especially when those who chose the interaction topic were also clinically depressed. All analyses controlled for relationship adjustment. These results suggest that spouses with higher depressive symptoms and clinical depression diagnoses may be suppressing otherwise ordinary criticism expression toward their nondepressed partners; furthermore, nondepressed partners of depressed people are especially likely to display less criticism toward their spouse in a private task. © 2018 Family Process Institute.
Consideration of climate change impacts and adaptation in EIA practice — Perspectives of actors in Austria and Germany

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 without reliable data but in the presence of knowledge about possible consequences at an abstract level. A joint strategy on how to cope with uncertain prognoses about main impacts on environmental issues for areas without reliable data requires a discussion and cooperation between EIA consultants and environmental authorities. - Highlights: • The consideration of climate change impacts in EIA practice in Austria and Germany was analysed through expert interviews. • Barriers as well as possible solutions were indentified by the different groups of actors involved in EIA. • The main challenges regard the investigation of specific entry points. • Limits of feasibility need to be discussed amongst the different groups of actors.« less
Urban Space as the Commons - New Modes for Urban Space Management

NASA Astrophysics Data System (ADS)

Ondrejicka, Vladimir; Finka, Maros; Husar, Milan; Jamecny, Lubomir

2017-12-01

The significant growing of urban population, globalization of social-ecological systems, fuzzification of spatial structures, the diversity of actors in spatial development, their power and interest in using the resources including space, especially in high-density urban areas. Spatial development is connected with a high concentration of economic activities and population in urban systems. In many cases very rapid processes of urbanization and suburbanization approach natural spatial/territorial limits, such as carrying capacity of land, transport and infrastructural systems, absorption capacities of recipients and others [1]. Growing shortage of space and problems in their accessibility (physical, functional, etc.) leads to growing tension and conflicts among the actors/users of urban spaces and represent the initial phase of space deprivations processes. There is a parallel with “tragedy of commons” as defined by Hardin [2] and was reinterpreted by many other academics and researchers. Urban space can be clearly interpreted as the commons or commons good for their community of users and relevant actors, so innovative governance modes overlapping defined “tragedy of commons” representing a possible approach for a new concept of urban public spaces management. This paper presents a possible new approach to the management of urban spaces reflecting the current challenges in spatial development based on the theory of commons and innovative governance modes. The new approach is built on innovations in institutional regimes, the algorithm of decision-making and economic expression and interpretation of quality of the space. The theory of the commons as the base source for this approach has been broadly proved in practice and Elinor Ostrom as the author of this theory [3-5] was awarded by Nobel Prize in 2009.
Fuzzy Logic Based Anomaly Detection for Embedded Network Security Cyber Sensor

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ondrej Linda; Todd Vollmer; Jason Wright

Resiliency and security in critical infrastructure control systems in the modern world of cyber terrorism constitute a relevant concern. Developing a network security system specifically tailored to the requirements of such critical assets is of a primary importance. This paper proposes a novel learning algorithm for anomaly based network security cyber sensor together with its hardware implementation. The presented learning algorithm constructs a fuzzy logic rule based model of normal network behavior. Individual fuzzy rules are extracted directly from the stream of incoming packets using an online clustering algorithm. This learning algorithm was specifically developed to comply with the constrainedmore » computational requirements of low-cost embedded network security cyber sensors. The performance of the system was evaluated on a set of network data recorded from an experimental test-bed mimicking the environment of a critical infrastructure control system.« less

System on chip module configured for event-driven architecture

DOEpatents

Robbins, Kevin; Brady, Charles E.; Ashlock, Tad A.

2017-10-17

A system on chip (SoC) module is described herein, wherein the SoC modules comprise a processor subsystem and a hardware logic subsystem. The processor subsystem and hardware logic subsystem are in communication with one another, and transmit event messages between one another. The processor subsystem executes software actors, while the hardware logic subsystem includes hardware actors, the software actors and hardware actors conform to an event-driven architecture, such that the software actors receive and generate event messages and the hardware actors receive and generate event messages.
Personality, communication, and depressive symptoms across the transition to parenthood: A dyadic longitudinal investigation

PubMed Central

Marshall, Emma M.; Simpson, Jeffry A.; Rholes, W. Steven

2015-01-01

This study adopted a person (actor) by partner perspective to examine how actor personality traits, partner personality traits, and specific actor by partner personality trait interactions predict actor's depressive symptoms across the first two years of the transition to parenthood. Data were collected from a large sample of new parents (both partners in each couple) 6 weeks before the birth of their first child, and then at 6, 12, 18, and 24 months postpartum. The results revealed that higher actor neuroticism and lower partner agreeableness predicted higher levels of depressive symptoms in actors. Moreover, the specific combination of high actor neuroticism and low partner agreeableness was a particularly problematic combination, which was intensified when prepartum dysfunctional problem-solving communication and aggression existed in the relationship. These results demonstrate the importance of considering certain actor by partner disposition pairings to better understand actors’ emotional well-being during major life transitions. PMID:26028813
SAR-based sea traffic monitoring: a reliable approach for maritime surveillance

NASA Astrophysics Data System (ADS)

Renga, Alfredo; Graziano, Maria D.; D'Errico, M.; Moccia, A.; Cecchini, A.

2011-11-01

Maritime surveillance problems are drawing the attention of multiple institutional actors. National and international security agencies are interested in matters like maritime traffic security, maritime pollution control, monitoring migration flows and detection of illegal fishing activities. Satellite imaging is a good way to identify ships but, characterized by large swaths, it is likely that the imaged scenes contain a large number of ships, with the vast majority, hopefully, performing legal activities. Therefore, the imaging system needs a supporting system which identifies legal ships and limits the number of potential alarms to be further monitored by patrol boats or aircrafts. In this framework, spaceborne Synthetic Aperture Radar (SAR) sensors, terrestrial AIS and the ongoing satellite AIS systems can represent a great potential synergy for maritime security. Starting from this idea the paper develops different designs for an AIS constellation able to reduce the time lag between SAR image and AIS data acquisition. An analysis of SAR-based ship detection algorithms is also reported and candidate algorithms identified.
Recollection and unitization in associating actors with extrinsic and intrinsic motions.

PubMed

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).
A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

DOE Office of Scientific and Technical Information (OSTI.GOV)

Madduri, Kamesh; Ediger, David; Jiang, Karl

2009-02-15

We present a new lock-free parallel algorithm for computing betweenness centralityof massive small-world networks. With minor changes to the data structures, ouralgorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in HPCS SSCA#2, a benchmark extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the Threadstorm processor, and a single-socket Sun multicore server with the UltraSPARC T2 processor. For a small-world network of 134 millionmore » vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.« less
A review of classification algorithms for EEG-based brain-computer interfaces.

PubMed

Lotte, F; Congedo, M; Lécuyer, A; Lamarche, F; Arnaldi, B

2007-06-01

In this paper we review classification algorithms used to design brain-computer interface (BCI) systems based on electroencephalography (EEG). We briefly present the commonly employed algorithms and describe their critical properties. Based on the literature, we compare them in terms of performance and provide guidelines to choose the suitable classification algorithm(s) for a specific BCI.
Shelter strategies, humanitarian praxis and critical urban theory in post-crisis reconstruction.

PubMed

Fan, Lilianne

2012-07-01

The paper seeks to link contemporary thinking on urban shelter in the humanitarian sector to debates in the field of 'critical urban theory'. It argues that current humanitarian thinking on urban shelter shares many common concerns with critical urban theory, but that these concerns are rarely translated effectively into humanitarian practice. It attributes this disconnect not only to weaknesses in implementation capacity, but also to the need to reorient humanitarian action to address more definitively questions of power and justice. Humanitarian actors need to step back from product-delivery approaches and find ways of integrating into their analytical, planning, implementation and monitoring tools questions about access, exclusion and the historically specific ways in which these aspects converge in particular urban spaces. By doing so, the humanitarian community would benefit from a more explicit, systematic and sustained engagement with the catalytic theoretical resources that critical urban theory has to offer. © 2012 The Author(s). Journal compilation © Overseas Development Institute, 2012.
Improving serum calcium test ordering according to a decision algorithm.

PubMed

Faria, Daniel K; Taniguchi, Leandro U; Fonseca, Luiz A M; Ferreira-Junior, Mario; Aguiar, Francisco J B; Lichtenstein, Arnaldo; Sumita, Nairo M; Duarte, Alberto J S; Sales, Maria M

2018-05-18

To detect differences in the pattern of serum calcium tests ordering before and after the implementation of a decision algorithm. We studied patients admitted to an internal medicine ward of a university hospital on April 2013 and April 2016. Patients were classified as critical or non-critical on the day when each test was performed. Adequacy of ordering was defined according to adherence to a decision algorithm implemented in 2014. Total and ionised calcium tests per patient-day of hospitalisation significantly decreased after the algorithm implementation; and duplication of tests (total and ionised calcium measured in the same blood sample) was reduced by 49%. Overall adequacy of ionised calcium determinations increased by 23% (P=0.0001) due to the increase in the adequacy of ionised calcium ordering in non-critical conditions. A decision algorithm can be a useful educational tool to improve adequacy of the process of ordering serum calcium tests. © 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.
Is extraordinary prosocial behavior more valuable than ordinary prosocial behavior?

PubMed Central

2018-01-01

This study examined how people evaluate ordinary and extraordinary prosocial behaviors, especially their predictions of the likelihood of future prosocial behaviors of ordinary and extraordinary prosocial actors (Study 1). Further, it examined the individual effects of ordinary and extraordinary prosocial behaviors of an actor on the evaluation of his/her trait by considering the cases where the actor engages in and does not engage in the other behavior (Study 2). Study 1 revealed that the likelihood of future prosocial behaviors of ordinary and extraordinary prosocial actors was perceived asymmetrically. Specifically, while the likelihood of ordinary prosocial actors to engage in ordinary prosocial behaviors was perceived as high, the same perception was not observed for extraordinary prosocial behaviors. On the other hand, extraordinary prosocial actors were perceived as highly likely to engage in both ordinary and extraordinary prosocial behaviors. Study 2 revealed that the evaluation of actors who engaged in extraordinary prosocial behaviors but not ordinary prosocial behaviors did not exceed the evaluation of actors who engaged in ordinary prosocial behaviors but not extraordinary prosocial behaviors. Additionally, the effect of extraordinary prosocial behaviors was more when the actor also engaged in ordinary prosocial behaviors. These results suggest that extraordinary prosocial actors are evaluated highly when they also engage in ordinary prosocial behaviors. PMID:29684088
The joint flanker effect and the joint Simon effect: On the comparability of processes underlying joint compatibility effects.

PubMed

Dittrich, Kerstin; Bossert, Marie-Luise; Rothe-Wulf, Annelie; Klauer, Karl Christoph

2017-09-01

Previous studies observed compatibility effects in different interference paradigms such as the Simon and flanker task even when the task was distributed across two co-actors. In both Simon and flanker tasks, performance is improved in compatible trials relative to incompatible trials if one actor works on the task alone as well as if two co-actors share the task. These findings have been taken to indicate that actors automatically co-represent their co-actor's task. However, recent research on the joint Simon and joint flanker effect suggests alternative non-social interpretations. To which degree both joint effects are driven by the same underlying processes is the question of the present study, and it was scrutinized by manipulating the visibility of the co-actor. While the joint Simon effect was not affected by the visibility of the co-actor, the joint flanker effect was reduced when participants did not see their co-actors but knew where the co-actors were seated. These findings provide further evidence for a spatial interpretation of the joint Simon effect. In contrast to recent claims, however, we propose a new explanation of the joint flanker effect that attributes the effect to an impairment in the focusing of spatial attention contingent on the visibility of the co-actor.
Is extraordinary prosocial behavior more valuable than ordinary prosocial behavior?

PubMed

Futamura, Ikumi

2018-01-01

This study examined how people evaluate ordinary and extraordinary prosocial behaviors, especially their predictions of the likelihood of future prosocial behaviors of ordinary and extraordinary prosocial actors (Study 1). Further, it examined the individual effects of ordinary and extraordinary prosocial behaviors of an actor on the evaluation of his/her trait by considering the cases where the actor engages in and does not engage in the other behavior (Study 2). Study 1 revealed that the likelihood of future prosocial behaviors of ordinary and extraordinary prosocial actors was perceived asymmetrically. Specifically, while the likelihood of ordinary prosocial actors to engage in ordinary prosocial behaviors was perceived as high, the same perception was not observed for extraordinary prosocial behaviors. On the other hand, extraordinary prosocial actors were perceived as highly likely to engage in both ordinary and extraordinary prosocial behaviors. Study 2 revealed that the evaluation of actors who engaged in extraordinary prosocial behaviors but not ordinary prosocial behaviors did not exceed the evaluation of actors who engaged in ordinary prosocial behaviors but not extraordinary prosocial behaviors. Additionally, the effect of extraordinary prosocial behaviors was more when the actor also engaged in ordinary prosocial behaviors. These results suggest that extraordinary prosocial actors are evaluated highly when they also engage in ordinary prosocial behaviors.
Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints

NASA Astrophysics Data System (ADS)

Yang, Xiong; Liu, Derong; Wang, Ding

2014-03-01

In this paper, an adaptive reinforcement learning-based solution is developed for the infinite-horizon optimal control problem of constrained-input continuous-time nonlinear systems in the presence of nonlinearities with unknown structures. Two different types of neural networks (NNs) are employed to approximate the Hamilton-Jacobi-Bellman equation. That is, an recurrent NN is constructed to identify the unknown dynamical system, and two feedforward NNs are used as the actor and the critic to approximate the optimal control and the optimal cost, respectively. Based on this framework, the action NN and the critic NN are tuned simultaneously, without the requirement for the knowledge of system drift dynamics. Moreover, by using Lyapunov's direct method, the weights of the action NN and the critic NN are guaranteed to be uniformly ultimately bounded, while keeping the closed-loop system stable. To demonstrate the effectiveness of the present approach, simulation results are illustrated.
The Impact of Critical Thinking and Logico-Mathematical Intelligence on Algorithmic Design Skills

ERIC Educational Resources Information Center

Korkmaz, Ozgen

2012-01-01

The present study aims to reveal the impact of students' critical thinking and logico-mathematical intelligence levels of students on their algorithm design skills. This research was a descriptive study and carried out by survey methods. The sample consisted of 45 first-year educational faculty undergraduate students. The data was collected by…
Action adaptation during natural unfolding social scenes influences action recognition and inferences made about actor beliefs.

PubMed

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.
Time-critical multirate scheduling using contemporary real-time operating system services

NASA Technical Reports Server (NTRS)

Eckhardt, D. E., Jr.

1983-01-01

Although real-time operating systems provide many of the task control services necessary to process time-critical applications (i.e., applications with fixed, invariant deadlines), it may still be necessary to provide a scheduling algorithm at a level above the operating system in order to coordinate a set of synchronized, time-critical tasks executing at different cyclic rates. The scheduling requirements for such applications and develops scheduling algorithms using services provided by contemporary real-time operating systems.
Relationship Quality with Parents: Implications for Own and Partner Well-Being in Middle-Aged Couples.

PubMed

Polenick, Courtney A; Fredman, Steffany J; Birditt, Kira S; Zarit, Steven H

2018-03-01

Relationships with parents have significant implications for well-being throughout the lifespan. At midlife, these ties are situated within both developmental and family contexts that often involve the adult offspring's spouse. Yet, it is not known how ties with aging parents are related to psychological well-being within middle-aged couples. This study examined how middle-aged wives' and husbands' views of the current quality of relationships with their own parents (positive and negative) are linked to their own and their partner's psychological well-being. Using a sample of 132 middle-aged couples from Wave 1 of the Family Exchanges Study, we estimated actor-partner interdependence models to evaluate these dyadic associations while controlling for each spouse's marital satisfaction. Both actor and partner effects were observed. With respect to actor effects, wives who reported more negative relationship quality with their own parents had elevated depressive symptoms and lower life satisfaction. Husbands who reported more negative relationship quality with their own parents had lower life satisfaction. In terms of partner effects, husbands had lower depressive symptoms and greater life satisfaction when wives reported more positive relationship quality with their own parents. Finally, the link between wives' positive ties with parents and husbands' lower depressive symptoms was intensified when husbands had less positive relationships with their own parents. Findings suggest that relationship quality with wives' aging parents has implications for both spouses' well-being and may serve as a critical social resource for husbands. © 2016 Family Process Institute.
Who is really in control of skin immunity under physiological circumstances - lymphocytes, dendritic cells or keratinocytes?

PubMed

Schröder, J M; Reich, K; Kabashima, K; Liu, F T; Romani, N; Metz, M; Kerstan, A; Lee, P H A; Loser, K; Schön, M P; Maurer, M; Stoitzner, P; Beissert, S; Tokura, Y; Gallo, R L

2006-11-01

Our views of the skin immunity theatre are undergoing constant change. These not only reflect paradigm shifts in general immunology and skin biology, but also have profound clinical implications, which call for strategic changes in dermatological therapy. Nowhere can this be witnessed at a greater level of instructiveness and fascination than when addressing the question posed by this new Controversies feature. Thus, after a very long period of dominance by T cells and Langerhans cells as 'lead actors' on the skin immunity stage, the lowly keratinocyte has recently made an astounding theatrical appearance as a key protagonist of the innate skin immunity system, which may control even acquired skin immune responses. Further enhancing dramatic complexity and tension, the mast cell has entered as an additional actor claiming centre stage, and the epidermal Langerhans cell has slipped in a surprise appearance as the chief agent of immunotolerance. May you, esteemed reader, enjoy the spectacle offered here by selected immunodermatology authorities who double as 'stage managers' pushing their respective favourite actors into the limelight. You get everything you may expect from a good performance - complete with the impresario's overture that lures you into the theatre and sets the stage, competing divas, recently discovered new talents and even the critic's digest while the performance is still ongoing. By the time the curtain drops, you will have reached your own, independent conclusions on how to answer the title question of this play - at least for the time being...
The making of a public health problem: multi-drug resistant tuberculosis in India.

PubMed

Engel, Nora C

2013-07-01

This paper examines how actors construct the public problem of multi-drug resistant tuberculosis (MDR-TB) in India. MDR-TB has been framed by the World Health Organization as a pressing, global public health problem. The responses to MDR-TB are complicated as treatment takes longer and is more expensive than routine TB treatment. This is particularly problematic in countries, such as India, with high patient loads, a large and unregulated private sector, weak health systems and potentially high numbers of MDR-TB cases. This paper analyses how actors struggle for control over ownership, causal theories and political responsibility of the public problem of MDR-TB in India. It combines Gusfield's theory on the construction of public problems with insights from literature on the social construction of diseases and on medical social control. It highlights that there are flexible definitions of public problems, which are negotiated among actor groups and which shift over time. The Indian government has shifted its policy in recent years and acknowledged that MDR-TB needs to be dealt with within the TB programme. The study results reveal how the policy shift happened, why debates on the construction of MDR-TB as a public problem in India continue, and why actors with alternative theories than the government do not succeed in their lobbying efforts. Two main arguments are put forward. First, the construction of the public problem of MDR-TB in India is a social and political process. The need for representative data, international influence and politics define what is controllable. Second, the government seems to be anxious to control the definition of India's MDR-TB problem. This impedes an open, critical and transparent discussion on the definition of the public problem of MDR-TB, which is important in responding flexibly to emerging public health challenges.
A new interactive computer simulation system for violence risk assessment of mentally disordered violent offenders.

PubMed

Arborelius, Lotta; Fors, Uno; Svensson, Anna-Karin; Sygel, Kristina; Kristiansson, Marianne

2013-02-01

Assessment of risk of future violence has developed from reliance on static indicators towards a more dynamic approach. In the latter context, however, the offender is seldom confronted with real life situations. The aim of this study is to evaluate a computer-based system--Reactions on Display, which presents human interactions based on real-life situations--for its effectiveness in distinguishing between potentially violent offenders with mental disorder and a healthy comparison group. Male offenders with autism spectrum disorders or psychosis were recruited from specialist forensic psychiatric units in Sweden and healthy participants from the local communities. Each consenting participant was presented with film clips of a man in neutral and violent situations, which at critical moments stopped the story to ask him to predict the thoughts, feelings and actions of the actor. Offender patients, irrespective of diagnosis, detected fewer emotional reactions in the actor in the non-violent sequence compared with controls. When asked to choose one of four violent actions, the offender patients chose more violent actions than did the controls. They also reported fewer physical reactions in the actors when actors were being violent. There were also some examples of incongruent or deviant responses by some individual patients. The use of interactive computer simulation techniques is not only generally acceptable to offender patients, but it also helps to differentiate their current response style to particular circumstances from that of healthy controls in a way that does not rely on their verbal abilities and may tap more effectively into their emotional reactions than standard verbal questions and answer approaches. This may pave the way for Reactions on Display providing a useful complement to traditional risk assessment, and a training route with respect to learning more empathic responding, thus having a role in aiding risk management. Copyright © 2013 John Wiley & Sons, Ltd.
Localization Algorithms of Underwater Wireless Sensor Networks: A Survey

PubMed Central

Han, Guangjie; Jiang, Jinfang; Shu, Lei; Xu, Yongjun; Wang, Feng

2012-01-01

In Underwater Wireless Sensor Networks (UWSNs), localization is one of most important technologies since it plays a critical role in many applications. Motivated by widespread adoption of localization, in this paper, we present a comprehensive survey of localization algorithms. First, we classify localization algorithms into three categories based on sensor nodes’ mobility: stationary localization algorithms, mobile localization algorithms and hybrid localization algorithms. Moreover, we compare the localization algorithms in detail and analyze future research directions of localization algorithms in UWSNs. PMID:22438752

Bombing alone: tracing the motivations and antecedent behaviors of lone-actor terrorists,.

PubMed

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.
Myself or someone like me: a review of the literature on the psychological well-being of child actors.

PubMed

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.
Level of implementation of best practice policies for creating healthy food environments: assessment by state and non-state actors in Thailand.

PubMed

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.
Nonconvergence of the Wang-Landau algorithms with multiple random walkers.

PubMed

Belardinelli, R E; Pereyra, V D

2016-05-01

This paper discusses some convergence properties in the entropic sampling Monte Carlo methods with multiple random walkers, particularly in the Wang-Landau (WL) and 1/t algorithms. The classical algorithms are modified by the use of m-independent random walkers in the energy landscape to calculate the density of states (DOS). The Ising model is used to show the convergence properties in the calculation of the DOS, as well as the critical temperature, while the calculation of the number π by multiple dimensional integration is used in the continuum approximation. In each case, the error is obtained separately for each walker at a fixed time, t; then, the average over m walkers is performed. It is observed that the error goes as 1/sqrt[m]. However, if the number of walkers increases above a certain critical value m>m_{x}, the error reaches a constant value (i.e., it saturates). This occurs for both algorithms; however, it is shown that for a given system, the 1/t algorithm is more efficient and accurate than the similar version of the WL algorithm. It follows that it makes no sense to increase the number of walkers above a critical value m_{x}, since it does not reduce the error in the calculation. Therefore, the number of walkers does not guarantee convergence.
The role of policy actors and contextual factors in policy agenda setting and formulation: maternal fee exemption policies in Ghana over four and a half decades.

PubMed

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 gained agenda access within the Ghanaian health sector as they used financial support as leverage. Influencers of policy agenda setting must recognise that the process is complex and intertwined with a mix of political, evidence-based, finance-based, path-dependent, and donor-driven processes. Therefore, influencers need to pay attention to context and policy actors in any strategy.
Drug scheduling of cancer chemotherapy based on natural actor-critic approach.

PubMed

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

PubMed

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

2013-01-01

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

NASA Astrophysics Data System (ADS)

Jin, Yingzi; Matsuo, Yutaka; Ishizuka, Mitsuru

Social relation plays an important role in a real community. Interaction patterns reveal relations among actors (such as persons, groups, companies), which can be merged into valuable information as a network structure. In this paper, we propose a new approach to extract inter-business relationship from the Web. Extraction of relation between a pair of companies is realized by using a search engine and text processing. Since names of companies co-appear coincidentaly on the Web, we propose an advanced algorithm which is characterized by addition of keywords (or we call relation words) to a query. The relation words are obtained from either an annotated corpus or the Web. We show some examples and comprehensive evaluations on our approach.
Architecture for multi-technology real-time location systems.

PubMed

Rodas, Javier; Barral, Valentín; Escudero, Carlos J

2013-02-07

The rising popularity of location-based services has prompted considerable research in the field of indoor location systems. Since there is no single technology to support these systems, it is necessary to consider the fusion of the information coming from heterogeneous sensors. This paper presents a software architecture designed for a hybrid location system where we can merge information from multiple sensor technologies. The architecture was designed to be used by different kinds of actors independently and with mutual transparency: hardware administrators, algorithm developers and user applications. The paper presents the architecture design, work-flow, case study examples and some results to show how different technologies can be exploited to obtain a good estimation of a target position.
Initial postbuckling analysis of elastoplastic thin-shear structures

NASA Technical Reports Server (NTRS)

Carnoy, E. G.; Panosyan, G.

1984-01-01

The design of thin shell structures with respect to elastoplastic buckling requires an extended analysis of the influence of initial imperfections. For conservative design, the most critical defect should be assumed with the maximum allowable magnitude. This defect is closely related to the initial postbuckling behavior. An algorithm is given for the quasi-static analysis of the postbuckling behavior of structures that exhibit multiple buckling points. the algorithm based upon an energy criterion allows the computation of the critical perturbation which will be employed for the definition of the critical defect. For computational efficiency, the algorithm uses the reduced basis technique with automatic update of the modal basis. The method is applied to the axisymmetric buckling of cylindrical shells under axial compression, and conclusions are given for future research.
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…
Using attractiveness model for actors ranking in social media networks.

PubMed

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.
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.
The burden of responsibility: Interpersonal costs of high self-control.

PubMed

Koval, Christy Zhou; vanDellen, Michelle R; Fitzsimons, Gráinne M; Ranby, Krista W

2015-05-01

The psychological literature on self-control has illustrated the many benefits experienced by people with high self-control, who are more successful both personally and interpersonally. In the current research, we explore the possibility that having high self-control also may have some interpersonal costs, leading individuals to become burdened by others' reliance. In Studies 1 and 2, we examined the effects of actors' self-control on observers' performance expectations and found that observers had higher performance expectations for actors with high (vs. low) self-control. In Study 3, we tested the effect of actors' self-control on work assigned to actors and found that observers assigned greater workloads to actors with high (vs. low) self-control. In Study 4, we examined how actors and observers differed in their assessments of the effort expended by high and low self-control actors and found that observers (but not actors) reported that high self-control actors expended less effort than low self-control actors. Finally, we found that people high (vs. low) in self-control reported greater burden from the reliance of coworkers (Study 5) and romantic partners (Study 6), and this tendency led them to feel less satisfied with their relationships (Study 6). Together, results from these studies provide novel evidence that individuals' self-control affects others' attitudes and behaviors toward them, and suggest that these interpersonal dynamics can have negative consequences for high self-control individuals. (c) 2015 APA, all rights reserved).
Moral actor, selfish agent.

PubMed

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.
Brain systems for visual perspective taking and action perception.

PubMed

Mazzarella, Elisabetta; Ramsey, Richard; Conson, Massimiliano; Hamilton, Antonia

2013-01-01

Taking another person's viewpoint and making sense of their actions are key processes that guide social behavior. Previous neuroimaging investigations have largely studied these processes separately. The current study used functional magnetic resonance imaging to examine how the brain incorporates another person's viewpoint and actions into visual perspective judgments. Participants made a left-right judgment about the location of a target object from their own (egocentric) or an actor's visual perspective (altercentric). Actor location varied around a table and the actor was either reaching or not reaching for the target object. Analyses examined brain regions engaged in the egocentric and altercentric tasks, brain regions where response magnitude tracked the orientation of the actor in the scene and brain regions sensitive to the action performed by the actor. The blood oxygen level-dependent (BOLD) response in dorsomedial prefrontal cortex (dmPFC) was sensitive to actor orientation in the altercentric task, whereas the response in right inferior frontal gyrus (IFG) was sensitive to actor orientation in the egocentric task. Thus, dmPFC and right IFG may play distinct but complementary roles in visual perspective taking (VPT). Observation of a reaching actor compared to a non-reaching actor yielded activation in lateral occipitotemporal cortex, regardless of task, showing that these regions are sensitive to body posture independent of social context. By considering how an observed actor's location and action influence the neural bases of visual perspective judgments, the current study supports the view that multiple neurocognitive "routes" operate during VPT.
The joint Simon effect depends on perceived agency, but not intentionality, of the alternative action

PubMed Central

Stenzel, Anna; Dolk, Thomas; Colzato, Lorenza S.; Sellaro, Roberta; Hommel, Bernhard; Liepelt, Roman

2014-01-01

A co-actor's intentionality has been suggested to be a key modulating factor for joint action effects like the joint Simon effect (JSE). However, in previous studies intentionality has often been confounded with agency defined as perceiving the initiator of an action as being the causal source of the action. The aim of the present study was to disentangle the role of agency and intentionality as modulating factors of the JSE. In Experiment 1, participants performed a joint go/nogo Simon task next to a co-actor who either intentionally controlled a response button with own finger movements (agency+/intentionality+) or who passively placed the hand on a response button that moved up and down on its own as triggered by computer signals (agency−/intentionality−). In Experiment 2, we included a condition in which participants believed that the co-actor intentionally controlled the response button with a Brain-Computer Interface (BCI) while placing the response finger clearly besides the response button, so that the causal relationship between agent and action effect was perceptually disrupted (agency−/intentionality+). As a control condition, the response button was computer controlled while the co-actor placed the response finger besides the response button (agency−/intentionality−). Experiment 1 showed that the JSE is present with an intentional co-actor and causality between co-actor and action effect, but absent with an unintentional co-actor and a lack of causality between co-actor and action effect. Experiment 2 showed that the JSE is absent with an intentional co-actor, but no causality between co-actor and action effect. Our findings indicate an important role of the co-actor's agency for the JSE. They also suggest that the attribution of agency has a strong perceptual basis. PMID:25140144
The joint Simon effect depends on perceived agency, but not intentionality, of the alternative action.

PubMed

Stenzel, Anna; Dolk, Thomas; Colzato, Lorenza S; Sellaro, Roberta; Hommel, Bernhard; Liepelt, Roman

2014-01-01

A co-actor's intentionality has been suggested to be a key modulating factor for joint action effects like the joint Simon effect (JSE). However, in previous studies intentionality has often been confounded with agency defined as perceiving the initiator of an action as being the causal source of the action. The aim of the present study was to disentangle the role of agency and intentionality as modulating factors of the JSE. In Experiment 1, participants performed a joint go/nogo Simon task next to a co-actor who either intentionally controlled a response button with own finger movements (agency+/intentionality+) or who passively placed the hand on a response button that moved up and down on its own as triggered by computer signals (agency-/intentionality-). In Experiment 2, we included a condition in which participants believed that the co-actor intentionally controlled the response button with a Brain-Computer Interface (BCI) while placing the response finger clearly besides the response button, so that the causal relationship between agent and action effect was perceptually disrupted (agency-/intentionality+). As a control condition, the response button was computer controlled while the co-actor placed the response finger besides the response button (agency-/intentionality-). Experiment 1 showed that the JSE is present with an intentional co-actor and causality between co-actor and action effect, but absent with an unintentional co-actor and a lack of causality between co-actor and action effect. Experiment 2 showed that the JSE is absent with an intentional co-actor, but no causality between co-actor and action effect. Our findings indicate an important role of the co-actor's agency for the JSE. They also suggest that the attribution of agency has a strong perceptual basis.
Scheduling time-critical graphics on multiple processors

NASA Technical Reports Server (NTRS)

Meyer, Tom W.; Hughes, John F.

1995-01-01

This paper describes an algorithm for the scheduling of time-critical rendering and computation tasks on single- and multiple-processor architectures, with minimal pipelining. It was developed to manage scientific visualization scenes consisting of hundreds of objects, each of which can be computed and displayed at thousands of possible resolution levels. The algorithm generates the time-critical schedule using progressive-refinement techniques; it always returns a feasible schedule and, when allowed to run to completion, produces a near-optimal schedule which takes advantage of almost the entire multiple-processor system.
[Violence-related deaths in Argentina: two case studies in the cities of Venado Tuerto and San Rafael].

PubMed

Spinelli, Hugo; Alazraqui, Marcio; Galeano, Diego; Calandrón, Sabrina

2012-12-01

This article presents the results of a comparative study of two Argentinian cities, namely Venado Tuerto and San Rafael, which revealed different trends in the rates of firearm-related homicides. The methodology combined two strategies of analysis: semi-structured interviews with key informants (municipal and provincial government agents in different areas of management, as well as members of non-governmental organizations) and focus groups with actors involved in medical care, education, and religious institutions. The results suggest little difference between cities in which rates have increased and those in which rates have decreased. The most significant difference was that in Venado Tuerto a greater fragility of public institutions was observed due to the lack of articulation between such institutions. In San Rafael, the actors interviewed attribute the low level of conflict to a violence prevention network in which provincial and municipal agencies interact. Although neither city is violent at the most critical Latin American levels, the different results shown in Venado Tuerco and San Rafael indicate the possibility of bringing institutions together in a joint framework of conversations, agreements and policies.

[The INSuLa Project: the survey of training needs in the SPSAL(Service for Prevention and Safety in the Work Environment)].

PubMed

Martini, Agnese; Iavicoli, Sergio; Bonafede, Michela; Corso, Luca; Iosuel, Michela; Isolani, Lucia; Di Leone, Giorgio; Di Marzio, Davide; Bertazzi, Pier Alberto

2014-01-01

According to Italian Legislative Decree 81/2008 and subsequent modifications the Regions and Autonomous Provinces have a innovative and complex role: 1) to regulate and coordinate the total prevention system and 2) to develop interventions/initiatives through regional/local occupational safety and health (OSH) department using not only inspections and controls but education, training and support. Recommendations also include consolidating the role of actors involved in preventing risks to occupational health throughout occupational safety and health education and training, keys for a successful process to improve prevention system. As result of changing world of work and OSH legislation the INSuLa project has creating a national survey involving of all Italian prevention system actors, in order to evaluate implementation and impact of the actual regulations. According to overall objective of the INSuLA project, for the first time in Italy, we studied about operators in regional/local OSH department. The purpose of this paper is to show and recognize the individual learning paths, the perception of adequacy education degree, the exploring criticalities andthe training needs.
A Human Proximity Operations System test case validation approach

NASA Astrophysics Data System (ADS)

Huber, Justin; Straub, Jeremy

A Human Proximity Operations System (HPOS) poses numerous risks in a real world environment. These risks range from mundane tasks such as avoiding walls and fixed obstacles to the critical need to keep people and processes safe in the context of the HPOS's situation-specific decision making. Validating the performance of an HPOS, which must operate in a real-world environment, is an ill posed problem due to the complexity that is introduced by erratic (non-computer) actors. In order to prove the HPOS's usefulness, test cases must be generated to simulate possible actions of these actors, so the HPOS can be shown to be able perform safely in environments where it will be operated. The HPOS must demonstrate its ability to be as safe as a human, across a wide range of foreseeable circumstances. This paper evaluates the use of test cases to validate HPOS performance and utility. It considers an HPOS's safe performance in the context of a common human activity, moving through a crowded corridor, and extrapolates (based on this) to the suitability of using test cases for AI validation in other areas of prospective application.
The Changing Role of ENGOs in Water Governance: Institutional Entrepreneurs?

NASA Astrophysics Data System (ADS)

Davidson, Seanna L.; de Loë, Rob C.

2016-01-01

The changing role of the state in the last quarter century has been an important contemporary concern for policy makers, scholars, and the public. Equally, there is increasing recognition among governance scholars that nongovernment actors are exerting new kinds of influence over governance systems and contributing in novel ways to governance processes. The role of environmental nongovernmental organizations (ENGOs) is particularly pertinent given the continued involvement of ENGOs within collaborative, adaptive, and co-management governance, across several contexts and regions. This paper uses an analytical framework derived from recent studies on institutional entrepreneurs, to examine the skills ENGOs are applying in order to orchestrate change. An empirical case of governance for water in Canada's Lake Simcoe region provides the foundation for the research. Drawing on a mixed methods approach, the research finds that ENGOs in Lake Simcoe have taken on a role as an institutional entrepreneur, and thereby have altered the relationship between governance actors in this setting. A key outcome of their actions is a more dominant, engaged, and influential role for ENGOs in a critical, regional governance system.
Evaluating in political turmoil: nursing challenges in prevention programs.

PubMed

Laperrière, Hélène

2007-03-01

The concrete insertion of nurses into the context of an inquiry contributes to empirical evaluation research of health promotion programs. As interveners and concrete actors in social movements, nurses are in a privileged position to give realism to a local understanding of the political and cultural context of evaluative research. Drawing on the practice of empirical evaluation research, this paper seeks to generate new methodological approaches in a way that broadens nursing inquiries in community health nursing. It explores new ways of thinking about epistemology and knowledge production in nursing practice. For 5 months an evaluative research project adopting a participatory-action research approach was conducted with local community actors in an AIDS prevention project in Amazonas (Brazil) in a prostitution setting. An auto-ethnographic journal was used as a reflective approach for the critical analysis of nursing research activities. This paper calls for a closer relationship between scientific research settings and the sociopolitical and the sociocultural aspects of nursing practice. It increases an incorporation of popular, social and professional experiential learning and skill acquisition in embedded knowledge production.
The return of the Iberian lynx to Portugal: local voices.

PubMed

Lopes-Fernandes, Margarida; Espírito-Santo, Clara; Frazão-Moreira, Amélia

2018-01-11

Ethnographic research can help to establish dialog between conservationists and local people in reintroduction areas. Considering that predator reintroductions may cause local resistance, we assessed attitudes of different key actor profiles to the return of the Iberian lynx (Lynx pardinus) to Portugal before reintroduction started in 2015. We aimed to characterize a social context from an ethnoecological perspective, including factors such as local knowledge, perceptions, emotions, and opinions. We conducted semi-structured interviews (n = 131) in three different protected areas and observed practices and public meetings in order to describe reintroduction contestation, emotional involvement with the species, and local perceptions about conservation. Detailed content data analysis was undertaken and an open-ended codification of citations was performed with the support of ATLAS.ti. Besides the qualitative analyses, we further explored statistic associations between knowledge and opinions and compared different geographical areas and hunters with non-hunters among key actors. Local ecological knowledge encompassed the lynx but was not shared by the whole community. Both similarities and differences between local and scientific knowledge about the lynx were found. The discrepancies with scientific findings were not necessarily a predictor of negative attitudes towards reintroduction. Contestation issues around reintroduction differ between geographical areas but did not hinder an emotional attachment to the species and its identification as a territory emblem. Among local voices, financial compensation was significantly associated to hunters and nature tourism was cited the most frequent advantage of lynx presence. Materialistic discourses existed in parallel with non-economic factors and the existence of moral agreement with its protection. The considerable criticism and reference to restrictions by local actors concerning protected areas and conservation projects indicated the experience of an imposed model of nature conservation. Opinions about participation in the reintroduction process highlighted the need for a closer dialog between all actors and administration. Local voices analyzed through an ethnoecological perspective provide several views on reintroduction and nature conservation. They follow two main global trends of environmental discourse: (1) nature becomes a commodified object to exploit while contestation about wildlife is centered on financial return and (2) emblematic wild species create an emotional attachment, become symbolic, and gather moral agreement for nature protection. Lynx reintroduction has been not only just a nature protection theme but also a negotiation process with administration. Western rural communities are not the "noble savages" and nature protectors as are other traditional groups, and actors tend to claim for benefits in a situation of reintroduction. Both parties comprehend a similar version of appropriated nature. Understanding complexity and diverse interests in local communities are useful in not oversimplifying local positions towards predator conservation. We recommend that professional conservation teams rethink their image among local populations and increase proximity with different types of key actors.
The effect of collision avoidance for autonomous robot team formation

NASA Astrophysics Data System (ADS)

Seidman, Mark H.; Yang, Shanchieh J.

2007-04-01

As technology and research advance to the era of cooperative robots, many autonomous robot team algorithms have emerged. Shape formation is a common and critical task in many cooperative robot applications. While theoretical studies of robot team formation have shown success, it is unclear whether such algorithms will perform well in a real-world environment. This work examines the effect of collision avoidance schemes on an ideal circle formation algorithm, but behaves similarly if robot-to-robot communications are in place. Our findings reveal that robots with basic collision avoidance capabilities are still able to form into a circle, under most conditions. Moreover, the robot sizes, sensing ranges, and other critical physical parameters are examined to determine their effects on algorithm's performance.
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…
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…
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…
Algorithmic-Reducibility = Renormalization-Group Fixed-Points; ``Noise''-Induced Phase-Transitions (NITs) to Accelerate Algorithmics (``NIT-Picking'') Replacing CRUTCHES!!!: Gauss Modular/Clock-Arithmetic Congruences = Signal X Noise PRODUCTS..

NASA Astrophysics Data System (ADS)

Siegel, J.; Siegel, Edward Carl-Ludwig

2011-03-01

Cook-Levin computational-"complexity"(C-C) algorithmic-equivalence reduction-theorem reducibility equivalence to renormalization-(semi)-group phase-transitions critical-phenomena statistical-physics universality-classes fixed-points, is exploited with Gauss modular/clock-arithmetic/model congruences = signal X noise PRODUCT reinterpretation. Siegel-Baez FUZZYICS=CATEGORYICS(SON of ``TRIZ''): Category-Semantics(C-S) tabular list-format truth-table matrix analytics predicts and implements "noise"-induced phase-transitions (NITs) to accelerate versus to decelerate Harel [Algorithmics(1987)]-Sipser[Intro. Theory Computation(1997) algorithmic C-C: "NIT-picking" to optimize optimization-problems optimally(OOPO). Versus iso-"noise" power-spectrum quantitative-only amplitude/magnitude-only variation stochastic-resonance, this "NIT-picking" is "noise" power-spectrum QUALitative-type variation via quantitative critical-exponents variation. Computer-"science" algorithmic C-C models: Turing-machine, finite-state-models/automata, are identified as early-days once-workable but NOW ONLY LIMITING CRUTCHES IMPEDING latter-days new-insights!!!
EMD self-adaptive selecting relevant modes algorithm for FBG spectrum signal

NASA Astrophysics Data System (ADS)

Chen, Yong; Wu, Chun-ting; Liu, Huan-lin

2017-07-01

Noise may reduce the demodulation accuracy of fiber Bragg grating (FBG) sensing signal so as to affect the quality of sensing detection. Thus, the recovery of a signal from observed noisy data is necessary. In this paper, a precise self-adaptive algorithm of selecting relevant modes is proposed to remove the noise of signal. Empirical mode decomposition (EMD) is first used to decompose a signal into a set of modes. The pseudo modes cancellation is introduced to identify and eliminate false modes, and then the Mutual Information (MI) of partial modes is calculated. MI is used to estimate the critical point of high and low frequency components. Simulation results show that the proposed algorithm estimates the critical point more accurately than the traditional algorithms for FBG spectral signal. While, compared to the similar algorithms, the signal noise ratio of the signal can be improved more than 10 dB after processing by the proposed algorithm, and correlation coefficient can be increased by 0.5, so it demonstrates better de-noising effect.
Cook-Levin Theorem Algorithmic-Reducibility/Completeness = Wilson Renormalization-(Semi)-Group Fixed-Points; ``Noise''-Induced Phase-Transitions (NITs) to Accelerate Algorithmics (``NIT-Picking'') REPLACING CRUTCHES!!!: Models: Turing-machine, finite-state-models, finite-automata

NASA Astrophysics Data System (ADS)

Young, Frederic; Siegel, Edward

Cook-Levin theorem theorem algorithmic computational-complexity(C-C) algorithmic-equivalence reducibility/completeness equivalence to renormalization-(semi)-group phase-transitions critical-phenomena statistical-physics universality-classes fixed-points, is exploited via Siegel FUZZYICS =CATEGORYICS = ANALOGYICS =PRAGMATYICS/CATEGORY-SEMANTICS ONTOLOGY COGNITION ANALYTICS-Aristotle ``square-of-opposition'' tabular list-format truth-table matrix analytics predicts and implements ''noise''-induced phase-transitions (NITs) to accelerate versus to decelerate Harel [Algorithmics (1987)]-Sipser[Intro.Thy. Computation(`97)] algorithmic C-C: ''NIT-picking''(!!!), to optimize optimization-problems optimally(OOPO). Versus iso-''noise'' power-spectrum quantitative-only amplitude/magnitude-only variation stochastic-resonance, ''NIT-picking'' is ''noise'' power-spectrum QUALitative-type variation via quantitative critical-exponents variation. Computer-''science''/SEANCE algorithmic C-C models: Turing-machine, finite-state-models, finite-automata,..., discrete-maths graph-theory equivalence to physics Feynman-diagrams are identified as early-days once-workable valid but limiting IMPEDING CRUTCHES(!!!), ONLY IMPEDE latter-days new-insights!!!
Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field

PubMed Central

Jeong, Myeong-Hun; Duckham, Matt

2015-01-01

This paper describes an efficient, decentralized algorithm to monitor qualitative spatial events in a dynamic scalar field. The events of interest involve changes to the critical points (i.e., peak, pits and passes) and edges of the surface network derived from the field. Four fundamental types of event (appearance, disappearance, movement and switch) are defined. Our algorithm is designed to rely purely on qualitative information about the neighborhoods of nodes in the sensor network and does not require information about nodes’ coordinate positions. Experimental investigations confirm that our algorithm is efficient, with O(n) overall communication complexity (where n is the number of nodes in the sensor network), an even load balance and low operational latency. The accuracy of event detection is comparable to established centralized algorithms for the identification of critical points of a surface network. Our algorithm is relevant to a broad range of environmental monitoring applications of sensor networks. PMID:26343672
Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field.

PubMed

Jeong, Myeong-Hun; Duckham, Matt

2015-08-28

This paper describes an efficient, decentralized algorithm to monitor qualitative spatial events in a dynamic scalar field. The events of interest involve changes to the critical points (i.e., peak, pits and passes) and edges of the surface network derived from the field. Four fundamental types of event (appearance, disappearance, movement and switch) are defined. Our algorithm is designed to rely purely on qualitative information about the neighborhoods of nodes in the sensor network and does not require information about nodes' coordinate positions. Experimental investigations confirm that our algorithm is efficient, with O(n) overall communication complexity (where n is the number of nodes in the sensor network), an even load balance and low operational latency. The accuracy of event detection is comparable to established centralized algorithms for the identification of critical points of a surface network. Our algorithm is relevant to a broad range of environmental monitoring applications of sensor networks.
Enteral nutrition therapy for critically ill adult patients; critical review and algorithm creation.

PubMed

Araújo-Junqueira, L; De-Souza, Daurea A

2012-01-01

Undernutrition directly affects critically ill patient's clinical outcome and mortality rates. Interdisciplinar algorithm creation aiming to optimize the enteral nutrition therapy for critically ill adult patients. Pubmed, SciELO, Scholar Google, Web of Science, Scopus, with research of these key words: protocols, enteral nutrition, nutritional support, critical care, undernutrition, fasting. Intensive Care Unit, Hospital de Clínicas, Federal University of Uberlándia, MG, Brazil. Were established in the algorithm a following sequential steps: After a clinical-surgical diagnosis, including the assessment of hemodynamic stability, were requested passage of a feeding tube in post-pyloric position and a drainage tube in gastric position. After hemodynamic stability it should be done the nutritional status diagnosis, calculated nutritional requirements, as well as chosen formulation of enteral feeding. Unless contraindicated, aiming to increase tolerance was started infusion with small volumes (15 ml/h) of a semi-elemental diet, normocaloric, hypolipidic (also hyperproteic, with addition of glutamine). To ensure infusion of the diet, as well as the progressive increase of infusion rates, the patient was monitored for moderate or severe intestinal intolerance. The schedule and infusion rates were respected and diet was not routinely suspended for procedures and diagnostic tests, unless indicated by the medical team. For nutrition therapy success it is essential routine monitoring and extensive interaction between the professionals involved. Nutritional conducts should be reevaluated and improved, seeking complete and specialized care to the critically ill patients. Adherence to new practices is challenging, though instruments such as protocols and algorithms help making information more accessible and comprehensible.
Trail-Based Search for Efficient Event Report to Mobile Actors in Wireless Sensor and Actor Networks.

PubMed

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.
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…
Compositional schedulability analysis of real-time actor-based systems.

PubMed

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.
Bombing Alone: Tracing the Motivations and Antecedent Behaviors of Lone-Actor Terrorists*,†,‡

PubMed Central

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
A survey of provably correct fault-tolerant clock synchronization techniques

NASA Technical Reports Server (NTRS)

Butler, Ricky W.

1988-01-01

Six provably correct fault-tolerant clock synchronization algorithms are examined. These algorithms are all presented in the same notation to permit easier comprehension and comparison. The advantages and disadvantages of the different techniques are examined and issues related to the implementation of these algorithms are discussed. The paper argues for the use of such algorithms in life-critical applications.

Improvement of the cost-benefit analysis algorithm for high-rise construction projects

NASA Astrophysics Data System (ADS)

Gafurov, Andrey; Skotarenko, Oksana; Plotnikov, Vladimir

2018-03-01

The specific nature of high-rise investment projects entailing long-term construction, high risks, etc. implies a need to improve the standard algorithm of cost-benefit analysis. An improved algorithm is described in the article. For development of the improved algorithm of cost-benefit analysis for high-rise construction projects, the following methods were used: weighted average cost of capital, dynamic cost-benefit analysis of investment projects, risk mapping, scenario analysis, sensitivity analysis of critical ratios, etc. This comprehensive approach helped to adapt the original algorithm to feasibility objectives in high-rise construction. The authors put together the algorithm of cost-benefit analysis for high-rise construction projects on the basis of risk mapping and sensitivity analysis of critical ratios. The suggested project risk management algorithms greatly expand the standard algorithm of cost-benefit analysis in investment projects, namely: the "Project analysis scenario" flowchart, improving quality and reliability of forecasting reports in investment projects; the main stages of cash flow adjustment based on risk mapping for better cost-benefit project analysis provided the broad range of risks in high-rise construction; analysis of dynamic cost-benefit values considering project sensitivity to crucial variables, improving flexibility in implementation of high-rise projects.
From the abstract to the concrete - Implementation of an innovative tool in home care.

PubMed

Kajamaa, Anu; Schulz, Klaus-Peter

2018-02-01

Background The implementation of innovations in practice is a critical factor for change and development processes in health and home care. We therefore analyze how an innovative tool - a mobility agreement to maintain physical mobility of home care clients - was implemented in Finnish home care. Methods Our study involves ethnographic research of 13 home care visits, two years after the mobility agreement was implemented. We analyze the emergence of contradictions, the motives of the actors and the use of artifacts supporting or inhibiting the implementation. Two in-depth cases illustrate the implementation of the mobility agreement in home care visits. Findings Our findings show that, first, to achieve practice change and development, the innovation implementation requires the overcoming of contradictions in the implementation process. Second, it calls for the emergence of a shared motive between the actors to transform the abstract concept of an innovation into a concrete practice. Third, artifacts, customary to the clients are important in supporting the implementation process. Fourth, the implementation brings about a modification of the innovation and the adopting social system. Conclusions Innovation implementation should be seen as a transformation process of an abstract concept into a concrete practice, enabled by the actors involved. Concept design and implementation should be closely linked. In health/home care innovation management, the implementation of innovations needs to be understood as a complex collective learning process. Results can be far reaching - in our case leading to change of home care workers' professional understanding and elderly clients' mobility habits.
The precariousness of the franchise state: Voluntary sector health services and international NGOs in Tanzania, 1960s - mid-1980s.

PubMed

Jennings, Michael

2015-09-01

This paper challenges conventional narratives on the role of international non-governmental organisations (INGOs) in the delivery of health services in Tanzania. Adopting an historical gaze which focuses on the 1960s to mid-1980s the paper argues that the 'franchise state' in the Tanzanian health system was not created by collusion between international donors and INGOs, underpinned by a set of health sector reforms that advocated the use of non-state actors; but was rather the legacy of the colonial health system bequeathed to the post-independence state. It was a system in which voluntary non-state actors (but, importantly, not INGOs) were already entrenched as key providers; and in which many of the features of the franchise state - fragmentation, structural weaknesses, lack of accountability to users - were already long established. But if INGOs did not create these features, as their critics attest, they did contribute to the maintenance and extension of these features. The short-term perspectives of NGOs, their small-scale piecemeal engagement, and the extra demands they placed upon their voluntary actor partners, left little scope for the development of sustainable, national and accountable solutions to the health needs of the country. In exploring these ideas, the paper contributes to a more nuanced understanding of the path dependency that created Tanzania's health system. The analysis also contributes to a deepening of the understanding of the make-up of the voluntary sector beyond a narrow gaze on the institution of the INGO. Copyright © 2015 Elsevier Ltd. All rights reserved.
District heating comes to town: The social shaping of an energy system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Summerton, J.

1992-01-01

This thesis concerns the process by which a sociotechnical system is shaped in its social and cultural context. The empirical focus is the introduction of a district heating system in an ordinary Swedish town in the 1980s. Drawing from recent theories from the history and sociology of science and technology (actor-network theory, systems approach), the study examines interactions among actors in introducing the technology, viewed as a multiorganizational grid-based system. Grid-based systems have a number of specific properties (long lead times, high investment costs, tight coupling, etc) that often prove problematic for system builders. As a multiorganization, the system ismore » also characterized by inherent interoganizational tensions and a lack of sovereign control by any one actor. The story centers around critical issues or interorganizational conflicts of building the system in the town. These are: deciding to build (decision-making process), shaping the organization and acquiring competence, obtaining subscribers (marketing strategies)-and keeping them, dealing with regulation (conflicts over siting), and meeting competition. It is argued that these issues reflect the core challenges of system-building in multiorganizational grid-based systems, namely: (1) enrolling others in the shared purpose, (2) staking out, expanding and defending the market, (3) handling conflict, (4) dealing with limits to control, (5) coordinating and timing system expansion. The thesis concludes with an analysis of why the Swedish town succeeded in the task, what its experience suggests about how grid-based systems are shaped, and what criteria can be used to define a [open quotes]good[close quotes] system.« less
Conceptualising the public health role of actors operating outside of formal health systems: The case of social enterprise.

PubMed

Roy, Michael J; Baker, Rachel; Kerr, Susan

2017-01-01

This paper focuses on the role of actors that operate outside formal health systems, but nevertheless have a vital, if often under-recognised, role in supporting public health. The specific example used is the 'social enterprise', an organisation that seeks, through trading, to maximise social returns, rather than the distribution of profits to shareholders or owners. In this paper we advance empirical and theoretical understanding of the causal pathways at work in social enterprises, by considering them as a particularly complex form of public health 'intervention'. Data were generated through qualitative, in depth, semi-structured interviews and a focus group discussion, with a purposive, maximum variation sample of social enterprise practitioners (n = 13) in an urban setting in the west of Scotland. A method of analysis inspired by critical realism - Causation Coding - enabled the identification of a range of explanatory mechanisms and potential pathways of causation between engagement in social enterprise-led activity and various outcomes, which have been grouped into physical health, mental health and social determinants. The findings then informed the construction of an empirically-informed conceptual model to act as a platform upon which to develop a future research agenda. The results of this work are considered to not only encourage a broader and more imaginative consideration of what actually constitutes a public health intervention, but also reinforces arguments that actors within the Third Sector have an important role to play in addressing contemporary and future public health challenges. Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Using Machine Learning to Predict MCNP Bias

DOE Office of Scientific and Technical Information (OSTI.GOV)

Grechanuk, Pavel Aleksandrovi

For many real-world applications in radiation transport where simulations are compared to experimental measurements, like in nuclear criticality safety, the bias (simulated - experimental k eff) in the calculation is an extremely important quantity used for code validation. The objective of this project is to accurately predict the bias of MCNP6 [1] criticality calculations using machine learning (ML) algorithms, with the intention of creating a tool that can complement the current nuclear criticality safety methods. In the latest release of MCNP6, the Whisper tool is available for criticality safety analysts and includes a large catalogue of experimental benchmarks, sensitivity profiles,more » and nuclear data covariance matrices. This data, coming from 1100+ benchmark cases, is used in this study of ML algorithms for criticality safety bias predictions.« less
Matching safety to access: global actors and pharmacogovernance in Kenya- a case study.

PubMed

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 makers' evidence-based decision making regarding investments to strengthen capacity for pharmacovigilance and guide policies regarding the state and exogenous actor relationship pertaining to pharmacogovernance. Ideally, dependency on exogenous actors should be reduced while retaining consultative, collaborative, and cooperative engagement when inter-dependency is appropriate. The use of global actors to address Kenya's pharmacovigilance inadequacies leaves the country vulnerable to 1) ad hoc drug surveillance; 2) pharmacovigilance fragmentation; 3) shifting priorities; and 4) cross purpose interests.
Safety and Feasibility of a Neuroscience Critical Care Program to Mobilize Patients With Primary Intracerebral Hemorrhage.

PubMed

Bahouth, Mona N; Power, Melinda C; Zink, Elizabeth K; Kozeniewski, Kate; Kumble, Sowmya; Deluzio, Sandra; Urrutia, Victor C; Stevens, Robert D

2018-06-01

To measure the impact of a progressive mobility program on patients admitted to a neurocritical critical care unit (NCCU) with intracerebral hemorrhage (ICH). The early mobilization of critically ill patients with spontaneous ICH is a challenge owing to the potential for neurologic deterioration and hemodynamic lability in the acute phase of injury. Patients admitted to the intensive care unit have been excluded from randomized trials of early mobilization after stroke. An interdisciplinary working group developed a formalized NCCU Mobility Algorithm that allocates patients to incremental passive or active mobilization pathways on the basis of level of consciousness and motor function. In a quasi-experimental consecutive group comparison, patients with ICH admitted to the NCCU were analyzed in two 6-month epochs, before and after rollout of the algorithm. Mobilization and safety endpoints were compared between epochs. NCCU in an urban, academic hospital. Adult patients admitted to the NCCU with primary intracerebral hemorrhage. Progressive mobilization after stroke using a formalized mobility algorithm. Time to first mobilization. The 2 groups of patients with ICH (pre-algorithm rolllout, n=28; post-algorithm rollout, n=29) were similar on baseline characteristics. Patients in the postintervention group were significantly more likely to undergo mobilization within the first 7 days after admission (odds ratio 8.7, 95% confidence interval 2.1, 36.6; P=.003). No neurologic deterioration, hypotension, falls, or line dislodgments were reported in association with mobilization. A nonsignificant difference in mortality was noted before and after rollout of the algorithm (4% vs 24%, respectively, P=.12). The implementation of a progressive mobility algorithm was safe and associated with a higher likelihood of mobilization in the first week after spontaneous ICH. Research is needed to investigate methods and the timing for the first mobilization in critically ill stroke patients. Copyright © 2018 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
Actor modelling and its contribution to the development of integrative strategies for management of pharmaceuticals in drinking water.

PubMed

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 and realisable integrative risk management strategies in complex problem fields that involve many societal actors.
Statistical learning in social action contexts.

PubMed

Monroy, Claire; Meyer, Marlene; Gerson, Sarah; Hunnius, Sabine

2017-01-01

Sensitivity to the regularities and structure contained within sequential, goal-directed actions is an important building block for generating expectations about the actions we observe. Until now, research on statistical learning for actions has solely focused on individual action sequences, but many actions in daily life involve multiple actors in various interaction contexts. The current study is the first to investigate the role of statistical learning in tracking regularities between actions performed by different actors, and whether the social context characterizing their interaction influences learning. That is, are observers more likely to track regularities across actors if they are perceived as acting jointly as opposed to in parallel? We tested adults and toddlers to explore whether social context guides statistical learning and-if so-whether it does so from early in development. In a between-subjects eye-tracking experiment, participants were primed with a social context cue between two actors who either shared a goal of playing together ('Joint' condition) or stated the intention to act alone ('Parallel' condition). In subsequent videos, the actors performed sequential actions in which, for certain action pairs, the first actor's action reliably predicted the second actor's action. We analyzed predictive eye movements to upcoming actions as a measure of learning, and found that both adults and toddlers learned the statistical regularities across actors when their actions caused an effect. Further, adults with high statistical learning performance were sensitive to social context: those who observed actors with a shared goal were more likely to correctly predict upcoming actions. In contrast, there was no effect of social context in the toddler group, regardless of learning performance. These findings shed light on how adults and toddlers perceive statistical regularities across actors depending on the nature of the observed social situation and the resulting effects.
Daily Associations Among Self-control, Heavy Episodic Drinking, and Relationship Functioning: An Examination of Actor and Partner Effects

PubMed Central

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
A false dichotomy? Mental illness and lone-actor terrorism.

PubMed

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.
The Stance Leads the Dance: The Emergence of Role in a Joint Supra-Postural Task

PubMed Central

Davis, Tehran J.; Pinto, Gabriela B.; Kiefer, Adam W.

2017-01-01

Successfully meeting a shared goal usually requires co-actors to adopt complementary roles. However, in many cases, who adopts what role is not explicitly predetermined, but instead emerges as a consequence of the differences in the individual abilities and constraints imposed upon each actor. Perhaps the most basic of roles are leader and follower. Here, we investigated the emergence of “leader-follower” dynamics in inter-personal coordination using a joint supra-postural task paradigm (Ramenzoni et al., 2011; Athreya et al., 2014). Pairs of actors were tasked with holding two objects in alignment (each actor manually controlled one of the objects) as they faced different demands for stance (stable vs. difficult) and control (which actor controlled the larger or smaller object). Our results indicate that when actors were in identical stances, neither led the inter-personal (between actors) coordination by any systematic fashion. Alternatively, when asymmetries in postural demands were introduced, the actor with the more difficult stance led the coordination (as determined using cross-recurrence quantification analysis). Moreover, changes in individual stance difficulty resulted in similar changes in the structure of both intra-personal (individual) and inter-personal (dyadic) coordination, suggesting a scale invariance of the task dynamics. Implications for the study of interpersonal coordination are discussed. PMID:28536547
Neuroimaging of the joint Simon effect with believed biological and non-biological co-actors.

PubMed

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.
Advanced Clinical Decision Support for Transport of the Critically Ill Patient

DTIC Science & Technology

2013-12-01

algorithms, status asthmaticus and status epilepticus , are to "go live" for use on pediatric critical care transport by the end of October. (Appendices 5...additional algorithms ( status asthmaticus and status epilepticus , Appendices 5 and 6). 8) Plans for validation testing to other transport teams...Practice Guideline Status Epilepticus Clinical Practice Guideline 17 d .s:. ... > 0 Cf :~f t t) ’ U t I .!! ~ .. z ~ i ~ t 0 - : i l
[Human health and pesticides used in the spraying of illicit crops: an issue of science or politics?].

PubMed

Idrovo, Alvaro Javier

2004-01-01

The potential adverse effects on human health associated with pesticides used in the program of eradication of illicit crops in Colombia are controversial. From the beginning of the 80's the pesticides paraquat, triclopyr, imazapyr, glyphosate and tebuthiuron have been used in eradication programs or experimentally. The objective of this study was to identify a reasonable approach which could be adopted by public health on this problem. A qualitative content analysis was carried out of the speeches of social actors involved in this debate, to classify them according to Suppes' expectations, or lay approach to risk. Social actors were identified by means of available documents in hard copies or on the internet; afterwards, ideally typical texts were selected and analysed. Skin lesions, conjunctivitis, and gastrointestinal and respiratory infections were identified as the most frequent illnesses. The analysis of speeches identified the affected groups as vulnerable populations. The Colombian and American governments present reports, based on the "medical model", which indicate no association between glyphosate exposure and human health. Guerrilla groups do not show a clear relationship between pesticides and effects on health; the national and international scientific communities criticize the eradication program based on concepts from ecology and the Latin American Social Medicine; environmentalist groups criticize any use of pesticides, and human right defenders point out that sprayings violate Colombian and American laws. In conclusion the different positions are opposed and none can be considered irrefutable. A rational position from the public health standpoint is to support the adoption of the precaution principle.
Architecture for Multi-Technology Real-Time Location Systems

PubMed Central

Rodas, Javier; Barral, Valentín; Escudero, Carlos J.

2013-01-01

The rising popularity of location-based services has prompted considerable research in the field of indoor location systems. Since there is no single technology to support these systems, it is necessary to consider the fusion of the information coming from heterogeneous sensors. This paper presents a software architecture designed for a hybrid location system where we can merge information from multiple sensor technologies. The architecture was designed to be used by different kinds of actors independently and with mutual transparency: hardware administrators, algorithm developers and user applications. The paper presents the architecture design, work-flow, case study examples and some results to show how different technologies can be exploited to obtain a good estimation of a target position. PMID:23435050
A qualitative exploration of the human resource policy implications of voluntary counselling and testing scale-up in Kenya: applying a model for policy analysis

PubMed Central

2011-01-01

Background Kenya experienced rapid scale up of HIV testing and counselling services in government health services from 2001. We set out to examine the human resource policy implications of scaling up HIV testing and counselling in Kenya and to analyse the resultant policy against a recognised theoretical framework of health policy reform (policy analysis triangle). Methods Qualitative methods were used to gain in-depth insights from policy makers who shaped scale up. This included 22 in-depth interviews with Voluntary Counselling and Testing (VCT) task force members, critical analysis of 53 sets of minutes and diary notes. We explore points of consensus and conflict amongst policymakers in Kenya and analyse this content to assess who favoured and resisted new policies, how scale up was achieved and the importance of the local context in which scale up occurred. Results The scale up of VCT in Kenya had a number of human resource policy implications resulting from the introduction of lay counsellors and their authorisation to conduct rapid HIV testing using newly introduced rapid testing technologies. Our findings indicate that three key groups of actors were critical: laboratory professionals, counselling associations and the Ministry of Health. Strategic alliances between donors, NGOs and these three key groups underpinned the process. The process of reaching consensus required compromise and time commitment but was critical to a unified nationwide approach. Policies around quality assurance were integral in ensuring standardisation of content and approach. Conclusion The introduction and scale up of new health service initiatives such as HIV voluntary counselling and testing necessitates changes to existing health systems and modification of entrenched interests around professional counselling and laboratory testing. Our methodological approach enabled exploration of complexities of scale up of HIV testing and counselling in Kenya. We argue that a better understanding of the diverse actors, the context and the process, is required to mitigate risks and maximise impact. PMID:22008721
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…
Representing Micro-Macro Linkages by Actor-Based Dynamic Network Models

PubMed Central

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

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.
Data-Parallel Algorithm for Contour Tree Construction

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sewell, Christopher Meyer; Ahrens, James Paul; Carr, Hamish

2017-01-19

The goal of this project is to develop algorithms for additional visualization and analysis filters in order to expand the functionality of the VTK-m toolkit to support less critical but commonly used operators.
Psychosocial stress based on public speech in humans: is there a real life/laboratory setting cross-adaptation?

PubMed

Jezova, D; Hlavacova, N; Dicko, I; Solarikova, P; Brezina, I

2016-07-01

Repeated or chronic exposure to stressors is associated with changes in neuroendocrine responses depending on the type, intensity, number and frequency of stress exposure as well as previous stress experience. The aim of the study was to test the hypothesis that salivary cortisol and cardiovascular responses to real-life psychosocial stressors related to public performance can cross-adapt with responses to psychosocial stress induced by public speech under laboratory setting. The sample consisted of 22 healthy male volunteers, which were either actors, more precisely students of dramatic arts or non-actors, students of other fields. The stress task consisted of 15 min anticipatory preparation phase and 15 min of public speech on an emotionally charged topic. The actors, who were accustomed to public speaking, responded with a rise in salivary cortisol as well as blood pressure to laboratory public speech. The values of salivary cortisol, systolic blood pressure and state anxiety were lower in actors compared to non-actors. Unlike non-actors, subjects with experience in public speaking did not show stress-induced rise in the heart rate. Evaluation of personality traits revealed that actors scored significantly higher in extraversion than the subjects in the non-actor group. In conclusion, neuroendocrine responses to real-life stressors in actors can partially cross-adapt with responses to psychosocial stress under laboratory setting. The most evident adaptation was at the level of heart rate responses. The public speech tasks may be of help in evaluation of the ability to cope with stress in real life in artists by simple laboratory testing.
The change-makers of West Africa.

PubMed

Godt, Sue; Mhatre, Sharmila; Schryer-Roy, Anne-Marie

2017-07-12

West Africa was the focus of global attention during the Ebola virus disease outbreak, when systemic health system weaknesses compounded a serious emergency and complicated response efforts. Following the crisis, calls were made to strengthen health systems, but investments to date have fallen short of delivering the support needed to build strong health systems able to prevent and manage future outbreaks.In part, this reality serves to highlight the shortcomings of the solutions being repeatedly prioritised by external funders and experts, solutions that often fail to consider the wealth of West African evidence and actors actively working to strengthen the leadership and health systems needed to drive and sustainably improve national health outcomes. Unfortunately, this knowledge and experience are rarely heard in the global arena.This journal supplement is a contribution, although small, to changing this practice by putting the perspectives, experiences and knowledge of West Africans on the table. It presents findings from a series of research and capacity development projects in West Africa funded by the International Development Research Centre's Maternal and Child Health programme (formerly Governance for Equity in Health Systems).The evidence presented here centres around two key themes. First, the theme that context matters. The evidence shows how context can change the shape of externally imposed interventions or policies resulting in unintended outcomes. At the same time, it highlights evidence showing how innovative local actors are developing their own approaches, usually low-cost and embedded in the context, to bring about change. Second, the collection of articles discusses the critical need to overcome the existing fragmentation of expertise, knowledge and actors, and to build strong working relationships amongst all actors so they can effectively work together to identify priority issues that can realistically be addressed given the available windows of opportunity.Vibrant West African-led collaborations amongst researchers, decision-makers and civil society, which are effectively supported by national, regional and global funding, need to foster, strengthen and use locally-generated evidence to ensure that efforts to strengthen health systems and improve regional health outcomes are successful. The solutions are clearly not to be found in the 'travelling models' of standardised interventions.
Lifted worm algorithm for the Ising model

NASA Astrophysics Data System (ADS)

Elçi, Eren Metin; Grimm, Jens; Ding, Lijie; Nasrawi, Abrahim; Garoni, Timothy M.; Deng, Youjin

2018-04-01

We design an irreversible worm algorithm for the zero-field ferromagnetic Ising model by using the lifting technique. We study the dynamic critical behavior of an energylike observable on both the complete graph and toroidal grids, and compare our findings with reversible algorithms such as the Prokof'ev-Svistunov worm algorithm. Our results show that the lifted worm algorithm improves the dynamic exponent of the energylike observable on the complete graph and leads to a significant constant improvement on toroidal grids.
The influence of socio cultural dynamics on convergence communication of aquaculture agribusiness actors

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.
On the failure to notice that White people are White: Generating and testing hypotheses in the celebrity guessing game.

PubMed

Hegarty, Peter

2017-01-01

Drawing together social psychologists' concerns with equality and cognitive psychologists' concerns with scientific inference, 6 studies (N = 841) showed how implicit category norms make the generation and test of hypothesis about race highly asymmetric. Having shown that Whiteness is the default race of celebrity actors (Study 1), Study 2 used a variant of Wason's (1960) rule discovery task to demonstrate greater difficulty in discovering rules that require specifying that race is shared by White celebrity actors than by Black celebrity actors. Clues to the Whiteness of White actors from analogous problems had little effect on hypothesis formation or rule discovery (Studies 3 and 4). Rather, across Studies 2 and 4 feedback about negative cases-non-White celebrities-facilitated the discovery that White actors shared a race, whether participants or experimenters generated the negative cases. These category norms were little affected by making White actors' Whiteness more informative (Study 5). Although participants understood that discovering that White actors are White would be harder than discovering that Black actors are Black, they showed limited insight into the information contained in negative cases (Study 6). Category norms render some identities as implicit defaults, making hypothesis formation and generalization about real social groups asymmetric in ways that have implications for scientific reasoning and social equality. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Transition through co-optation: Harnessing carbon democracy for clean energy

NASA Astrophysics Data System (ADS)

Meng, Kathryn-Louise

This dissertation explores barriers to a clean energy transition in the United States. Clean energy is demonstrably viable, yet the pace of clean energy adoption in the U.S. is slow, particularly given the immediate threat of global climate change. The purpose of this dissertation is to examine the factors inhibiting a domestic energy transition and to propose pragmatic approaches to catalyzing a transition. The first article examines the current political-economic and socio-technical energy landscape in the U.S. Fossil fuels are central to the functioning of the American economy. Given this centrality, constellations of power have been constructed around the reliable and affordable access of fossil fuels. The fossil fuel energy regime is comprised of: political-economic networks with vested interests in continued fossil fuel reliance, and fixed infrastructure that is minimally compatible with distributed generation. A transition to clean energy threatens the profitability of fossil fuel regime actors. Harnessing structural critiques from political ecology and process and function-oriented socio-technical systems frameworks, I present a multi-level approach to identifying pragmatic means to catalyzing an energy transition. High-level solutions confront the existing structure, mid-level solutions harness synergy with the existing structure, and low-level solutions lie outside of the energy system or foster the TIS. This is exemplified using a case study of solar development in Massachusetts. Article two presents a case study of the clean energy technological innovation system (TIS) in Massachusetts. I examine the actors and institutions that support cleantech development. Further, I scrutinize the actors and institutions that help sustain the TIS support system. The concept of a catalyst is presented; a catalyst is an actor that serves to propel TIS functions. Catalysts are critical to facilitating anchoring. Strategic corporate partners are identified as powerful catalysts that can help infuse capital into the TIS, propel TIS functions, and facilitate anchoring to the socio-technical regime and landscape. In the final article I argue that the environmental narrative that traditionally frames the need for clean energy is ineffective. Environmental narratives are antagonistic towards powerful actors and institutions discussed in the first article. Such antagonism can impede the development of clean energy incentives, decelerating a transition to clean energy. The need for clean energy can be reframed according to a security discourse. I demonstrate the compatibility between clean energy development and national security imperatives and argue that security imperatives are more likely to receive legislative and financial support than environmental imperatives. Ultimately I argue that geographers can find utility in the very structures, institutions, and actors that they critique. Capitalist imperatives of profit and growth can be harnessed so as to appeal to strategic corporate partners. The military, its budget, industrial complex, and research and development resources can in fact be beneficial to developing clean energy domestically.
Algorithms for Lightweight Key Exchange.

PubMed

Alvarez, Rafael; Caballero-Gil, Cándido; Santonja, Juan; Zamora, Antonio

2017-06-27

Public-key cryptography is too slow for general purpose encryption, with most applications limiting its use as much as possible. Some secure protocols, especially those that enable forward secrecy, make a much heavier use of public-key cryptography, increasing the demand for lightweight cryptosystems that can be implemented in low powered or mobile devices. This performance requirements are even more significant in critical infrastructure and emergency scenarios where peer-to-peer networks are deployed for increased availability and resiliency. We benchmark several public-key key-exchange algorithms, determining those that are better for the requirements of critical infrastructure and emergency applications and propose a security framework based on these algorithms and study its application to decentralized node or sensor networks.
Global Comparison of Warring Groups in 2002–2007: Fatalities from Targeting Civilians vs. Fighting Battles

PubMed Central

Hicks, Madelyn Hsiao-Rei; Lee, Uih Ran; Sundberg, Ralph; Spagat, Michael

2011-01-01

Background Warring groups that compete to dominate a civilian population confront contending behavioral options: target civilians or battle the enemy. We aimed to describe degrees to which combatant groups concentrated lethal behavior into intentionally targeting civilians as opposed to engaging in battle with opponents in contemporary armed conflict. Methodology/Principal Findings We identified all 226 formally organized state and non-state groups (i.e. actors) that engaged in lethal armed conflict during 2002–2007: 43 state and 183 non-state. We summed civilians killed by an actor's intentional targeting with civilians and combatants killed in battles in which the actor was involved for total fatalities associated with each actor, indicating overall scale of armed conflict. We used a Civilian Targeting Index (CTI), defined as the proportion of total fatalities caused by intentional targeting of civilians, to measure the concentration of lethal behavior into civilian targeting. We report actor-specific findings and four significant trends: 1.) 61% of all 226 actors (95% CI 55% to 67%) refrained from targeting civilians. 2.) Logistic regression showed actors were more likely to have targeted civilians if conflict duration was three or more years rather than one year. 3.) In the 88 actors that targeted civilians, multiple regressions showed an inverse correlation between CTI values and the total number of fatalities. Conflict duration of three or more years was associated with lower CTI values than conflict duration of one year. 4.) When conflict scale and duration were accounted for, state and non-state actors did not differ. We describe civilian targeting by actors in prolonged conflict. We discuss comparable patterns found in nature and interdisciplinary research. Conclusions/Significance Most warring groups in 2002–2007 did not target civilians. Warring groups that targeted civilians in small-scale, brief conflict concentrated more lethal behavior into targeting civilians, and less into battles, than groups in larger-scale, longer conflict. PMID:21915272
A Dyadic Approach to Infertility Stress, Marital Adjustment, and Depression on Quality of Life in Infertile Couples.

PubMed

Kim, Ju Hee; Shin, Hye Sook; Yun, Eun Kyoung

2018-03-01

This study was conducted to examine the level of infertility stress, marital adjustment, depression, and quality of life in infertile couples and assess the actor and partner effects in these areas using the actor-partner interdependence model. Cross-sectional study. Participants were 121 infertile couples. After pilot study, data were collected from November 2012 to March 2013 using the following questionnaires: the Fertility Quality of Life, Fertility Problem Inventory, Revised Dyadic Adjustment Scale, and Beck Depression Inventory. There was a gender difference in infertility stress, depression, and quality of life. Infertility stress had actor and partner effects on the quality of life. Marital adjustment had an actor effect on the quality of life for the wives. Depression had actor and partner effects on quality of life for the wives, but only an actor effect for the husbands. This study found that there were actor and partner effects of infertility stress, marital adjustment, and depression on the quality of life in infertile couples. These findings may help nurses be aware of such effects and can be used as a baseline data in the development of nursing interventions for infertile couples.
Place-Based Initiatives to Improve Health in Disadvantaged Communities: Cross-Sector Characteristics and Networks of Local Actors in North Carolina.

PubMed

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.
False recollection of the role played by an actor in an event

PubMed Central

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
Place-Based Initiatives to Improve Health in Disadvantaged Communities: Cross-Sector Characteristics and Networks of Local Actors in North Carolina

PubMed Central

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
Couple adjustment to a stressful life event: a dyadic investigation of the roles of positive reframing and perceived benefits.

PubMed

Samios, Christina; Baran, Shayne

2018-03-01

This study examines positive reframing (a form of meaning making), perceived benefits (a form of meanings made) and adjustment in couples who experienced a stressful life event in the past year. This study tested whether couple members' scores were nonindependent and whether one's own perceived benefits was predicted by their own positive reframing (actor effect) as well as their partner's positive reframing (partner effect). Further, this study tested actor and partner effects for the link between perceived benefits and adjustment and whether positive reframing (the initial variable) works through perceived benefits (the mediator) to affect adjustment (the outcome) at the dyadic level. A standard dyadic design was used. Eighty couples completed measures of positive reframing, perceived benefits, and adjustment (depression, anxiety, positive affect, life satisfaction, and relationship satisfaction). Partners' scores on study variables were related, and although only actor effects were found for the path between positive reframing and perceived benefits, both actor and partner effects were found for the path between perceived benefits and adjustment. Mediation was found for actor-actor and actor-partner indirect effects. Results indicate that a greater focus on interpersonal factors is needed to further meaning-making theory and inform practice.
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)
[Should disease management be feared? (1): hospital care].

PubMed

Gaspoz, J M; Rutschmann, O

2005-11-23

The goals of disease management are: (1) an integrated health care delivery system; (2) knowledge-based care; (3) elaborate information systems; (4) continuous quality improvement. In-hospital disease management and, more specifically, critical pathways, establish standardized care plans, set goals and time actions to reach these goals. They can reduce variations in practice patterns and resource utilization without compromising quality of care. Such strategies participate to quality improvement programs in hospitals when they involve and empower all actors of a given process of care, are not imposed from outside, and use sound and rigorous development and evaluation methods.
Evolution of the knowledge system for agricultural development in the Yaqui Valley, Sonora, Mexico.

PubMed

McCullough, Ellen B; Matson, Pamela A

2016-04-26

Knowledge systems-networks of linked actors, organizations, and objects that perform a number of knowledge-related functions that link knowledge and know how with action-have played a key role in fostering agricultural development over the last 50 years. We examine the evolution of the knowledge system of the Yaqui Valley, Mexico, a region often described as the home of the green revolution for wheat, tracing changes in the functions of critical knowledge system participants, information flows, and research priorities. Most of the knowledge system's key players have been in place for many decades, although their roles have changed in response to exogenous and endogenous shocks and trends (e.g., drought, policy shifts, and price trends). The system has been agile and able to respond to challenges, in part because of the diversity of players (evolving roles of actors spanning research-decision maker boundaries) and also because of the strong and consistent role of innovative farmers. Although the agricultural research agenda in the Valley is primarily controlled from within the agricultural sector, outside voices have become an important influence in broadening development- and production-oriented perspectives to sustainability perspectives.
Analytical Sociology: A Bungean Appreciation

NASA Astrophysics Data System (ADS)

Wan, Poe Yu-ze

2012-10-01

Analytical sociology, an intellectual project that has garnered considerable attention across a variety of disciplines in recent years, aims to explain complex social processes by dissecting them, accentuating their most important constituent parts, and constructing appropriate models to understand the emergence of what is observed. To achieve this goal, analytical sociologists demonstrate an unequivocal focus on the mechanism-based explanation grounded in action theory. In this article I attempt a critical appreciation of analytical sociology from the perspective of Mario Bunge's philosophical system, which I characterize as emergentist systemism. I submit that while the principles of analytical sociology and those of Bunge's approach share a lot in common, the latter brings to the fore the ontological status and explanatory importance of supra-individual actors (as concrete systems endowed with emergent causal powers) and macro-social mechanisms (as processes unfolding in and among social systems), and therefore it does not stipulate that every causal explanation of social facts has to include explicit references to individual-level actors and mechanisms. In this sense, Bunge's approach provides a reasonable middle course between the Scylla of sociological reification and the Charybdis of ontological individualism, and thus serves as an antidote to the untenable "strong program of microfoundations" to which some analytical sociologists are committed.
Evolution of the knowledge system for agricultural development in the Yaqui Valley, Sonora, Mexico

PubMed Central

McCullough, Ellen B.; Matson, Pamela A.

2016-01-01

Knowledge systems—networks of linked actors, organizations, and objects that perform a number of knowledge-related functions that link knowledge and know how with action—have played a key role in fostering agricultural development over the last 50 years. We examine the evolution of the knowledge system of the Yaqui Valley, Mexico, a region often described as the home of the green revolution for wheat, tracing changes in the functions of critical knowledge system participants, information flows, and research priorities. Most of the knowledge system's key players have been in place for many decades, although their roles have changed in response to exogenous and endogenous shocks and trends (e.g., drought, policy shifts, and price trends). The system has been agile and able to respond to challenges, in part because of the diversity of players (evolving roles of actors spanning research–decision maker boundaries) and also because of the strong and consistent role of innovative farmers. Although the agricultural research agenda in the Valley is primarily controlled from within the agricultural sector, outside voices have become an important influence in broadening development- and production-oriented perspectives to sustainability perspectives. PMID:21606365

The promise of complementarity: Using the methods of foresight for health workforce planning.

PubMed

Rees, Gareth H; Crampton, Peter; Gauld, Robin; MacDonell, Stephen

2018-05-01

Health workforce planning aims to meet a health system's needs with a sustainable and fit-for-purpose workforce, although its efficacy is reduced in conditions of uncertainty. This PhD breakthrough article offers foresight as a means of addressing this uncertainty and models its complementarity in the context of the health workforce planning problem. The article summarises the findings of a two-case multi-phase mixed method study that incorporates actor analysis, scenario development and policy Delphi. This reveals a few dominant actors of considerable influence who are in conflict over a few critical workforce issues. Using these to augment normative scenarios, developed from existing clinically developed model of care visions, a number of exploratory alternative descriptions of future workforce situations are produced for each case. Their analysis reveals that these scenarios are a reasonable facsimile of plausible futures, though some are favoured over others. Policy directions to support these favoured aspects can also be identified. This novel approach offers workforce planners and policy makers some guidance on the use of complimentary data, methods to overcome the limitations of conventional workforce forecasting and a framework for exploring the complexities and ambiguities of a health workforce's evolution.
The management of conflict in nutrition policy formulation: choosing growth-monitoring indicators in the context of dual burden.

PubMed

Hoey, Lesli; Pelletier, David L

2011-06-01

We argue in this paper that a shared desire to find a solution to malnutrition and agreement at a broad level concerning priority, evidence-based interventions are important but not sufficient conditions for effective policy development. This paper illustrates this point, and draws out general implications, through a detailed analysis of a case in which conflict emerged when committed nutrition policy actors began discussing the details of program design and implementation. The case involves one country's effort to select "the best" anthropometric indicator for use in its national child growth-monitoring program. In this case the interested parties approached this deceptively simple decision for different reasons, using different sources and standards of evidence and focusing their attention on opposite, but equally critical, operational considerations, while being heavily influenced by global, national, and interorganizational events and relationships. We suggest that actors seeking to translate political commitment for nutrition into effective action should recognize the technical and sociopolitical complexity of seemingly simple decisions related to intervention design and employ more systematic, intentional, and inclusive decision-making procedures. Without attention to such practical matters, the current window of opportunity to reduce malnutrition on a global scale may quickly close.
An “Ethical Moment” in Data Sharing

PubMed Central

2016-01-01

This study draws on interviews with forty-nine members of a biomedical research community in the UK that is involved in negotiating data sharing and access. During an interview, an interviewee used the words “ethical moment” to describe a confrontation between collaborators in relation to data sharing. In this article, I use this as a lens for thinking about relations between “the conceptual and the empirical” in a way that allows both analyst and actor to challenge the status quo and consider other ethical possibilities. Drawing on actor network theory (ANT), I approach “the empirical” using the concepts of controversy and ontological uncertainty as methodological tools to tackle the problem of ethics. I suggest that these concepts also provide a bridge for understanding the ontological structure of the virtual and the actual, as described in Deleuze’s Difference and Repetition. While other science and technology studies scholars have sought to draw on Deleuze, this article addresses the integration of ethics and empirical research. It arises as a critical reaction to existing treatments of this problem as found in empirical ethics, especially in the sociology of bioethics, and indirectly in ANT texts. PMID:28018016
[Philosophy of science for psychiatric practice].

PubMed

Ralston, A S G

2010-01-01

The prevailing view is that psychiatry has its roots in two separate methodologies: the natural sciences and the social sciences. It is assumed that these are separate domains, each with its own way of knowing. Psychiatric and psychological theories are based mainly on one or other of these two types of science; this leads to a ongoing dualism in psychiatry, which some people regard as problematical. This article aims to make a methodological contribution to the scientific and philosophical foundations of psychiatry. This philosophical and theoretical dichotomy is criticized in this article in the light of recent developments in the philosophy of science, and two methods are introduced which offer an alternative analysis: values-based practice and actor-network theory. Brief examples are given which demonstrate that a combination of these two methods can be productive for psychiatry. Values-based practice and actor-network theory provide a way of resolving the stalemate in the conflict between the physical sciences and the sciences of the mind, a conflict that is dominated by professionals. In addition these two new methods empower the professionals by not deriving legitimacy from the false image of a dichotomous science, but from a normative sense of professionalism.
Mind the Gaps: Controversies about Algorithms, Learning and Trendy Knowledge

ERIC Educational Resources Information Center

Argenton, Gerald

2017-01-01

This article critically explores the ways by which the Web could become a more learning-oriented medium in the age of, but also in spite of, the newly bred algorithmic cultures. The social dimension of algorithms is reported in literature as being a socio-technological entanglement that has a powerful influence on users' practices and their lived…
How similar are forest disturbance maps derived from different Landsat time series algorithms?

Treesearch

Warren B. Cohen; Sean P. Healey; Zhiqiang Yang; Stephen V. Stehman; C. Kenneth Brewer; Evan B. Brooks; Noel Gorelick; Chengqaun Huang; M. Joseph Hughes; Robert E. Kennedy; Thomas R. Loveland; Gretchen G. Moisen; Todd A. Schroeder; James E. Vogelmann; Curtis E. Woodcock; Limin Yang; Zhe Zhu

2017-01-01

Disturbance is a critical ecological process in forested systems, and disturbance maps are important for understanding forest dynamics. Landsat data are a key remote sensing dataset for monitoring forest disturbance and there recently has been major growth in the development of disturbance mapping algorithms. Many of these algorithms take advantage of the high temporal...
A survey of urban climate change experiments in 100 cities

PubMed Central

Castán Broto, Vanesa; Bulkeley, Harriet

2013-01-01

Cities are key sites where climate change is being addressed. Previous research has largely overlooked the multiplicity of climate change responses emerging outside formal contexts of decision-making and led by actors other than municipal governments. Moreover, existing research has largely focused on case studies of climate change mitigation in developed economies. The objective of this paper is to uncover the heterogeneous mix of actors, settings, governance arrangements and technologies involved in the governance of climate change in cities in different parts of the world. The paper focuses on urban climate change governance as a process of experimentation. Climate change experiments are presented here as interventions to try out new ideas and methods in the context of future uncertainties. They serve to understand how interventions work in practice, in new contexts where they are thought of as innovative. To study experimentation, the paper presents evidence from the analysis of a database of 627 urban climate change experiments in a sample of 100 global cities. The analysis suggests that, since 2005, experimentation is a feature of urban responses to climate change across different world regions and multiple sectors. Although experimentation does not appear to be related to particular kinds of urban economic and social conditions, some of its core features are visible. For example, experimentation tends to focus on energy. Also, both social and technical forms of experimentation are visible, but technical experimentation is more common in urban infrastructure systems. While municipal governments have a critical role in climate change experimentation, they often act alongside other actors and in a variety of forms of partnership. These findings point at experimentation as a key tool to open up new political spaces for governing climate change in the city. PMID:23805029
Dyadic effects of gender minority stressors in substance use behaviors among transgender women and their non-transgender male partners

PubMed Central

Reisner, Sari L.; Gamarel, Kristi E.; Nemoto, Tooru; Operario, Don

2014-01-01

Background Despite evidence that interpersonal processes shape health behaviors, research concerning the dyadic effects of gender minority stressors on substance use behaviors of transgender people is scarce. The objective of this study was to use dyadic analysis to examine whether transgender discrimination was associated with substance use among transgender women and their male partners. Methods Transgender women and their male partners (N=191 couples; N=382 individuals) completed questionnaires. Participants’ mean age was 37.1; 79.1% were racial/ethnic minority; 61.3% earned <$500 per-month. The mean relationship duration was 37.9 months. Actor-Partner Interdependence Models were used to examine the associations between transgender-related discrimination and past 30-day non-marijuana illicit drug use adjusting for age, relationship length, financial hardship, and depressive distress among partners in these dyads. Results Illicit drug use was reported by 31.4% of transgender women and 25.1% of their male partners. Perceived transgender discrimination was independently associated with increased odds of illicit drug use for transgender women (actor effect) but not for their male partners. Financial hardship statistically predicted drug use for both partners (actor effects). There were no partner effects for financial hardship on drug use. Overall, 34.5% of dyads had discrepant substance use. Discrimination scores of male partners differentiated dyads who reported discrepant substance use. Discussion Gender minority stressors are critical to understanding substance use among transgender women and their male partners. Integrating socioeconomic status into gender minority stress frameworks is essential. Results have implications for substance use prevention and treatment, including the need to incorporate gender minority stressors into interventions. PMID:25642440
Cultural Practices Shaping Zoonotic Diseases Surveillance: The Case of Highly Pathogenic Avian Influenza and Thailand Native Chicken Farmers.

PubMed

Delabouglise, A; Antoine-Moussiaux, N; Tatong, D; Chumkaeo, A; Binot, A; Fournié, G; Pilot, E; Phimpraphi, W; Kasemsuwan, S; Paul, M C; Duboz, R; Salem, G; Peyre, M

2017-08-01

Effectiveness of current passive zoonotic disease surveillance systems is limited by the under-reporting of disease outbreaks in the domestic animal population. Evaluating the acceptability of passive surveillance and its economic, social and cultural determinants appears a critical step for improving it. A participatory rural appraisal was implemented in a rural subdistrict of Thailand. Focus group interviews were used to identify sanitary risks perceived by native chicken farmers and describe the structure of their value chain. Qualitative individual interviews with a large diversity of actors enabled to identify perceived costs and benefits associated with the reporting of HPAI suspicions to sanitary authorities. Besides, flows of information on HPAI suspected cases were assessed using network analysis, based on data collected through individual questionnaires. Results show that the presence of cockfighting activities in the area negatively affected the willingness of all chicken farmers and other actors to report suspected HPAI cases. The high financial and affective value of fighting cocks contradicted the HPAI control policy based on mass culling. However, the importance of product quality in the native chicken meat value chain and the free veterinary services and products delivered by veterinary officers had a positive impact on suspected case reporting. Besides, cockfighting practitioners had a significantly higher centrality than other actors in the information network and they facilitated the spatial diffusion of information. Social ties built in cockfighting activities and the shared purpose of protecting valuable cocks were at the basis of the diffusion of information and the informal collective management of diseases. Building bridges with this informal network would greatly improve the effectiveness of passive surveillance. © 2016 Blackwell Verlag GmbH.
Dyadic effects of gender minority stressors in substance use behaviors among transgender women and their non-transgender male partners.

PubMed

Reisner, Sari L; Gamarel, Kristi E; Nemoto, Tooru; Operario, Don

2014-03-01

Despite evidence that interpersonal processes shape health behaviors, research concerning the dyadic effects of gender minority stressors on substance use behaviors of transgender people is scarce. The objective of this study was to use dyadic analysis to examine whether transgender discrimination was associated with substance use among transgender women and their male partners. Transgender women and their male partners ( N =191 couples; N =382 individuals) completed questionnaires. Participants' mean age was 37.1; 79.1% were racial/ethnic minority; 61.3% earned <$500 per-month. The mean relationship duration was 37.9 months. Actor-Partner Interdependence Models were used to examine the associations between transgender-related discrimination and past 30-day non-marijuana illicit drug use adjusting for age, relationship length, financial hardship, and depressive distress among partners in these dyads. Illicit drug use was reported by 31.4% of transgender women and 25.1% of their male partners. Perceived transgender discrimination was independently associated with increased odds of illicit drug use for transgender women (actor effect) but not for their male partners. Financial hardship statistically predicted drug use for both partners (actor effects). There were no partner effects for financial hardship on drug use. Overall, 34.5% of dyads had discrepant substance use. Discrimination scores of male partners differentiated dyads who reported discrepant substance use. Gender minority stressors are critical to understanding substance use among transgender women and their male partners. Integrating socioeconomic status into gender minority stress frameworks is essential. Results have implications for substance use prevention and treatment, including the need to incorporate gender minority stressors into interventions.
A highly accurate dynamic contact angle algorithm for drops on inclined surface based on ellipse-fitting.

PubMed

Xu, Z N; Wang, S Y

2015-02-01

To improve the accuracy in the calculation of dynamic contact angle for drops on the inclined surface, a significant number of numerical drop profiles on the inclined surface with different inclination angles, drop volumes, and contact angles are generated based on the finite difference method, a least-squares ellipse-fitting algorithm is used to calculate the dynamic contact angle. The influences of the above three factors are systematically investigated. The results reveal that the dynamic contact angle errors, including the errors of the left and right contact angles, evaluated by the ellipse-fitting algorithm tend to increase with inclination angle/drop volume/contact angle. If the drop volume and the solid substrate are fixed, the errors of the left and right contact angles increase with inclination angle. After performing a tremendous amount of computation, the critical dimensionless drop volumes corresponding to the critical contact angle error are obtained. Based on the values of the critical volumes, a highly accurate dynamic contact angle algorithm is proposed and fully validated. Within nearly the whole hydrophobicity range, it can decrease the dynamic contact angle error in the inclined plane method to less than a certain value even for different types of liquids.
Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-phonon Complex Systems

NASA Astrophysics Data System (ADS)

Suwa, Hidemaro

2013-03-01

We have developed novel Monte Carlo methods for precisely calculating quantum spin-boson models and investigated the critical phenomena of the spin-Peierls systems. Three significant methods are presented. The first is a new optimization algorithm of the Markov chain transition kernel based on the geometric weight allocation. This algorithm, for the first time, satisfies the total balance generally without imposing the detailed balance and always minimizes the average rejection rate, being better than the Metropolis algorithm. The second is the extension of the worm (directed-loop) algorithm to non-conserved particles, which cannot be treated efficiently by the conventional methods. The third is the combination with the level spectroscopy. Proposing a new gap estimator, we are successful in eliminating the systematic error of the conventional moment method. Then we have elucidated the phase diagram and the universality class of the one-dimensional XXZ spin-Peierls system. The criticality is totally consistent with the J1 -J2 model, an effective model in the antiadiabatic limit. Through this research, we have succeeded in investigating the critical phenomena of the effectively frustrated quantum spin system by the quantum Monte Carlo method without the negative sign. JSPS Postdoctoral Fellow for Research Abroad
Applied global health diplomacy: profile of health diplomats accredited to the UNITED STATES and foreign governments.

PubMed

Brown, Matthew D; Bergmann, Julie N; Novotny, Thomas E; Mackey, Tim K

2018-01-11

Global health diplomacy (GHD) is a burgeoning field bridging the priorities of global health and foreign affairs. Given the increasing need to mobilize disparate global health stakeholders coupled with the need to design complex public health partnerships to tackle issues of international concern, effective and timely cooperation among state actors is critical. Health Attachés represent this coordination focal point and are key diplomatic professionals at the forefront of GHD. Despite their unique mandate, little is published about this profession and the perspectives of those who work in the field. Through purposive sampling, we performed in-depth qualitative interviews with seven Health Attachés: three foreign Health Attachés accredited to the United States and four U.S. Health Attachés accredited to foreign governments. Our interviews explored four key topics: the role and mission of Health Attachés, skills needed to perform GHD, examples of successes and challenges in accomplishing their respective missions, and suggestions for the future development of the diplomatic profession. We identified several lessons to apply to the growing field of GHD. First, GHD actors need to receive appropriate training to successfully negotiate the intersection of global health and foreign affairs. Participants suggested several areas of training that would benefit GHD actors: diplomacy and negotiation, applied science, and cross-cultural competency. Second, participants articulated the need for a career path for GHD practitioners, increased opportunities for on-the-job training and mentored experiences, and GHD competencies with defined levels of mastery that can be used in occupational evaluation and career development. Our findings indicate that skills in diplomacy and negotiation, applied science, and cross cultural competency are essential for the statecraft of Health Attachés. Additionally, establishing a clear career pathway for Health Attachés is critical for future maturation of the profession and for fostering effective global health action that aligns public health and foreign diplomacy outcomes. Achieving these goals would ensure that this special cadre of diplomats could effectively practice GHD and would also better position Health Attachés to take the lead in advancing shared global health goals among nation states in a new era of twenty-first century diplomacy.
Real-time segmentation of burst suppression patterns in critical care EEG monitoring

PubMed Central

Westover, M. Brandon; Shafi, Mouhsin M.; Ching, ShiNung; Chemali, Jessica J.; Purdon, Patrick L.; Cash, Sydney S.; Brown, Emery N.

2014-01-01

Objective Develop a real-time algorithm to automatically discriminate suppressions from non-suppressions (bursts) in electroencephalograms of critically ill adult patients. Methods A real-time method for segmenting adult ICU EEG data into bursts and suppressions is presented based on thresholding local voltage variance. Results are validated against manual segmentations by two experienced human electroencephalographers. We compare inter-rater agreement between manual EEG segmentations by experts with inter-rater agreement between human vs automatic segmentations, and investigate the robustness of segmentation quality to variations in algorithm parameter settings. We further compare the results of using these segmentations as input for calculating the burst suppression probability (BSP), a continuous measure of depth-of-suppression. Results Automated segmentation was comparable to manual segmentation, i.e. algorithm-vs-human agreement was comparable to human-vs-human agreement, as judged by comparing raw EEG segmentations or the derived BSP signals. Results were robust to modest variations in algorithm parameter settings. Conclusions Our automated method satisfactorily segments burst suppression data across a wide range adult ICU EEG patterns. Performance is comparable to or exceeds that of manual segmentation by human electroencephalographers. Significance Automated segmentation of burst suppression EEG patterns is an essential component of quantitative brain activity monitoring in critically ill and anesthetized adults. The segmentations produced by our algorithm provide a basis for accurate tracking of suppression depth. PMID:23891828
Real-time segmentation of burst suppression patterns in critical care EEG monitoring.

PubMed

Brandon Westover, M; Shafi, Mouhsin M; Ching, Shinung; Chemali, Jessica J; Purdon, Patrick L; Cash, Sydney S; Brown, Emery N

2013-09-30

Develop a real-time algorithm to automatically discriminate suppressions from non-suppressions (bursts) in electroencephalograms of critically ill adult patients. A real-time method for segmenting adult ICU EEG data into bursts and suppressions is presented based on thresholding local voltage variance. Results are validated against manual segmentations by two experienced human electroencephalographers. We compare inter-rater agreement between manual EEG segmentations by experts with inter-rater agreement between human vs automatic segmentations, and investigate the robustness of segmentation quality to variations in algorithm parameter settings. We further compare the results of using these segmentations as input for calculating the burst suppression probability (BSP), a continuous measure of depth-of-suppression. Automated segmentation was comparable to manual segmentation, i.e. algorithm-vs-human agreement was comparable to human-vs-human agreement, as judged by comparing raw EEG segmentations or the derived BSP signals. Results were robust to modest variations in algorithm parameter settings. Our automated method satisfactorily segments burst suppression data across a wide range adult ICU EEG patterns. Performance is comparable to or exceeds that of manual segmentation by human electroencephalographers. Automated segmentation of burst suppression EEG patterns is an essential component of quantitative brain activity monitoring in critically ill and anesthetized adults. The segmentations produced by our algorithm provide a basis for accurate tracking of suppression depth. Copyright © 2013 Elsevier B.V. All rights reserved.
Das baden-württembergische Innovationssystem im Wandel:. Akteure vor neuen Herausforderungen

NASA Astrophysics Data System (ADS)

Stahlecker, Thomas; Zenker, Andrea

2017-09-01

Recently, new forms of innovation, new actors and actor constellations can be observed, especially in "mature" innovation systems like Baden-Wuerttemberg, that are flanked by new instruments of innovation support. Against the backdrop of an evolved innovation system heuristics, this paper outlines these new developments in Baden-Wuerttemberg. It uses examples to describe characteristic innovation actors, actors from the research landscape, education and the intermediary function of mediators, social actors as well as the aspect of innovation financing and to reveal current tendencies and trends. It becomes clear that the innovation system in Baden-Wuerttemberg has continuously evolved and become more differentiated. Its industries' research efforts and modernization activities as well as innovation-friendly policies contribute to the adaptability of the system and are major influencing factors for the ongoing success of the innovation system. This is supplemented by diverse innovations at the level of actors, institutions and measures. The question concerns the governance and capacity of this complex system given dynamic changing global circumstances.
The moral sense of humanitarian actors: an empirical exploration.

PubMed

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.
Body height and occupational success for actors and actresses.

PubMed

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.
A Simulated Annealing Algorithm for the Optimization of Multistage Depressed Collector Efficiency

NASA Technical Reports Server (NTRS)

Vaden, Karl R.; Wilson, Jeffrey D.; Bulson, Brian A.

2002-01-01

The microwave traveling wave tube amplifier (TWTA) is widely used as a high-power transmitting source for space and airborne communications. One critical factor in designing a TWTA is the overall efficiency. However, overall efficiency is highly dependent upon collector efficiency; so collector design is critical to the performance of a TWTA. Therefore, NASA Glenn Research Center has developed an optimization algorithm based on Simulated Annealing to quickly design highly efficient multi-stage depressed collectors (MDC).
Trail-Based Search for Efficient Event Report to Mobile Actors in Wireless Sensor and Actor Networks †

PubMed Central

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

Structural integration and performance of inter-sectoral public health-related policy networks: An analysis across policy phases.

PubMed

Peters, D T J M; Raab, J; Grêaux, K M; Stronks, K; Harting, J

2017-12-01

Inter-sectoral policy networks may be effective in addressing environmental determinants of health with interventions. However, contradictory results are reported on relations between structural network characteristics (i.e., composition and integration) and network performance, such as addressing environmental determinants of health. This study examines these relations in different phases of the policy process. A multiple-case study was performed on four public health-related policy networks. Using a snowball method among network actors, overall and sub-networks per policy phase were identified and the policy sector of each actor was assigned. To operationalise the outcome variable, interventions were classified by the proportion of environmental determinants they addressed. In the overall networks, no relation was found between structural network characteristics and network performance. In most effective cases, the policy development sub-networks were characterised by integration with less interrelations between actors (low cohesion), more equally distributed distances between the actors (low closeness centralisation), and horizontal integration in inter-sectoral cliques. The most effective case had non-public health central actors with less connections in all sub-networks. The results suggest that, to address environmental determinants of health, sub-networks should be inter-sectorally composed in the policy development rather than in the intervention development and implementation phases, and that policy development actors should have the opportunity to connect with other actors, without strong direction from a central actor. Copyright © 2017 Elsevier B.V. All rights reserved.
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.
ACToR: Aggregated Computational Toxicology Resource (T)

EPA Science Inventory

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 ...
Versatile and efficient pore network extraction method using marker-based watershed segmentation

NASA Astrophysics Data System (ADS)

Gostick, Jeff T.

2017-08-01

Obtaining structural information from tomographic images of porous materials is a critical component of porous media research. Extracting pore networks is particularly valuable since it enables pore network modeling simulations which can be useful for a host of tasks from predicting transport properties to simulating performance of entire devices. This work reports an efficient algorithm for extracting networks using only standard image analysis techniques. The algorithm was applied to several standard porous materials ranging from sandstone to fibrous mats, and in all cases agreed very well with established or known values for pore and throat sizes, capillary pressure curves, and permeability. In the case of sandstone, the present algorithm was compared to the network obtained using the current state-of-the-art algorithm, and very good agreement was achieved. Most importantly, the network extracted from an image of fibrous media correctly predicted the anisotropic permeability tensor, demonstrating the critical ability to detect key structural features. The highly efficient algorithm allows extraction on fairly large images of 5003 voxels in just over 200 s. The ability for one algorithm to match materials as varied as sandstone with 20% porosity and fibrous media with 75% porosity is a significant advancement. The source code for this algorithm is provided.
Evaluation schemes for video and image anomaly detection algorithms

NASA Astrophysics Data System (ADS)

Parameswaran, Shibin; Harguess, Josh; Barngrover, Christopher; Shafer, Scott; Reese, Michael

2016-05-01

Video anomaly detection is a critical research area in computer vision. It is a natural first step before applying object recognition algorithms. There are many algorithms that detect anomalies (outliers) in videos and images that have been introduced in recent years. However, these algorithms behave and perform differently based on differences in domains and tasks to which they are subjected. In order to better understand the strengths and weaknesses of outlier algorithms and their applicability in a particular domain/task of interest, it is important to measure and quantify their performance using appropriate evaluation metrics. There are many evaluation metrics that have been used in the literature such as precision curves, precision-recall curves, and receiver operating characteristic (ROC) curves. In order to construct these different metrics, it is also important to choose an appropriate evaluation scheme that decides when a proposed detection is considered a true or a false detection. Choosing the right evaluation metric and the right scheme is very critical since the choice can introduce positive or negative bias in the measuring criterion and may favor (or work against) a particular algorithm or task. In this paper, we review evaluation metrics and popular evaluation schemes that are used to measure the performance of anomaly detection algorithms on videos and imagery with one or more anomalies. We analyze the biases introduced by these by measuring the performance of an existing anomaly detection algorithm.
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…
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…
The Black Presence in London Theatre, 1974-1979.

ERIC Educational Resources Information Center

Stanback, T.W.

1983-01-01

Based on studies conducted by the Afro-Asian Committee of British Actors Equity and others, discusses the limited opportunities for minority actors in British theatre. Identifies plays in which Black performers were cast during the late 1970s and describes a number of fringe theatre groups which employ Black actors. (GC)
Transnationalisation within School Education:The Interconnection between Actors, Structures and Mechanisms

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…
Application of actor level social characteristic indicator selection for the precursory detection of bullies in online social networks

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.
[Be in role. Examination of dissociative experiences of theatrical actors].

PubMed

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.
Neuroimaging of the joint Simon effect with believed biological and non-biological co-actors

PubMed Central

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
Contextual determinants of the social-transfer-of-learning effect.

PubMed

Milanese, Nadia; Iani, Cristina; Sebanz, Natalie; Rubichi, Sandro

2011-06-01

A recent study (Milanese et al. in Cogn 116(1):15-22, 2010) showed that performing a spatial compatibility task with incompatible S-R links (i.e., the practice task) alongside a co-actor eliminates the Simon effect in a subsequent joint Simon task (i.e., the transfer task). In the present study, we conducted three experiments to individuate which elements of the practice task need to remain constant for this social-transfer-of-learning to occur. In Experiment 1, participants performed the practice task alongside a co-actor and the Simon task with a different co-actor; in Experiment 2, they performed the practice task alongside a co-actor and the Simon task with the same co-actor after exchanging their seats. Results showed a modulation of the joint Simon effect in Experiment 1 only. In Experiment 2, we found a regular joint Simon effect. These results indicate that, while co-actor identity is not crucial, other elements of the context, such as keeping the same position across tasks, are necessary for the social-transfer-of-learning to occur. On the whole, our data suggest that the social-transfer-of-learning effect is not tuned to a specific co-actor and depends on spatial parameters of the practice and transfer tasks.
Neural-Network-Based Robust Optimal Tracking Control for MIMO Discrete-Time Systems With Unknown Uncertainty Using Adaptive Critic Design.

PubMed

Liu, Lei; Wang, Zhanshan; Zhang, Huaguang

2018-04-01

This paper is concerned with the robust optimal tracking control strategy for a class of nonlinear multi-input multi-output discrete-time systems with unknown uncertainty via adaptive critic design (ACD) scheme. The main purpose is to establish an adaptive actor-critic control method, so that the cost function in the procedure of dealing with uncertainty is minimum and the closed-loop system is stable. Based on the neural network approximator, an action network is applied to generate the optimal control signal and a critic network is used to approximate the cost function, respectively. In contrast to the previous methods, the main features of this paper are: 1) the ACD scheme is integrated into the controllers to cope with the uncertainty and 2) a novel cost function, which is not in quadric form, is proposed so that the total cost in the design procedure is reduced. It is proved that the optimal control signals and the tracking errors are uniformly ultimately bounded even when the uncertainty exists. Finally, a numerical simulation is developed to show the effectiveness of the present approach.
A tool for exploring the dynamics of innovative interventions for public health: the critical event card.

PubMed

Figueiro, Ana Claudia; de Araújo Oliveira, Sydia Rosana; Hartz, Zulmira; Couturier, Yves; Bernier, Jocelyne; do Socorro Machado Freire, Maria; Samico, Isabella; Medina, Maria Guadalupe; de Sa, Ronice Franco; Potvin, Louise

2017-03-01

Public health interventions are increasingly represented as complex systems. Research tools for capturing the dynamic of interventions processes, however, are practically non-existent. This paper describes the development and proof of concept process of an analytical tool, the critical event card (CEC), which supports the representation and analysis of complex interventions' evolution, based on critical events. Drawing on the actor-network theory (ANT), we developed and field-tested the tool using three innovative health interventions in northeastern Brazil. Interventions were aimed to promote health equity through intersectoral approaches; were engaged in participatory evaluation and linked to professional training programs. The CEC developing involve practitioners and researchers from projects. Proof of concept was based on document analysis, face-to-face interviews and focus groups. Analytical categories from CEC allow identifying and describing critical events as milestones in the evolution of complex interventions. Categories are (1) event description; (2) actants (human and non-human) involved; (3) interactions between actants; (4) mediations performed; (5) actions performed; (6) inscriptions produced; and (7) consequences for interventions. The CEC provides a tool to analyze and represent intersectoral internvetions' complex and dynamic evolution.
Is It that Difficult to Find a Good Preference Order for the Incremental Algorithm?

ERIC Educational Resources Information Center

Krahmer, Emiel; Koolen, Ruud; Theune, Mariet

2012-01-01

In a recent article published in this journal (van Deemter, Gatt, van der Sluis, & Power, 2012), the authors criticize the Incremental Algorithm (a well-known algorithm for the generation of referring expressions due to Dale & Reiter, 1995, also in this journal) because of its strong reliance on a pre-determined, domain-dependent Preference Order.…
Algorithms for Lightweight Key Exchange †

PubMed Central

Santonja, Juan; Zamora, Antonio

2017-01-01

Public-key cryptography is too slow for general purpose encryption, with most applications limiting its use as much as possible. Some secure protocols, especially those that enable forward secrecy, make a much heavier use of public-key cryptography, increasing the demand for lightweight cryptosystems that can be implemented in low powered or mobile devices. This performance requirements are even more significant in critical infrastructure and emergency scenarios where peer-to-peer networks are deployed for increased availability and resiliency. We benchmark several public-key key-exchange algorithms, determining those that are better for the requirements of critical infrastructure and emergency applications and propose a security framework based on these algorithms and study its application to decentralized node or sensor networks. PMID:28654006
Neural Network Based Intrusion Detection System for Critical Infrastructures

DOE Office of Scientific and Technical Information (OSTI.GOV)

Todd Vollmer; Ondrej Linda; Milos Manic

2009-07-01

Resiliency and security in control systems such as SCADA and Nuclear plant’s in today’s world of hackers and malware are a relevant concern. Computer systems used within critical infrastructures to control physical functions are not immune to the threat of cyber attacks and may be potentially vulnerable. Tailoring an intrusion detection system to the specifics of critical infrastructures can significantly improve the security of such systems. The IDS-NNM – Intrusion Detection System using Neural Network based Modeling, is presented in this paper. The main contributions of this work are: 1) the use and analyses of real network data (data recordedmore » from an existing critical infrastructure); 2) the development of a specific window based feature extraction technique; 3) the construction of training dataset using randomly generated intrusion vectors; 4) the use of a combination of two neural network learning algorithms – the Error-Back Propagation and Levenberg-Marquardt, for normal behavior modeling. The presented algorithm was evaluated on previously unseen network data. The IDS-NNM algorithm proved to be capable of capturing all intrusion attempts presented in the network communication while not generating any false alerts.« less
Google effects on memory: cognitive consequences of having information at our fingertips.

PubMed

Sparrow, Betsy; Liu, Jenny; Wegner, Daniel M

2011-08-05

The advent of the Internet, with sophisticated algorithmic search engines, has made accessing information as easy as lifting a finger. No longer do we have to make costly efforts to find the things we want. We can "Google" the old classmate, find articles online, or look up the actor who was on the tip of our tongue. The results of four studies suggest that when faced with difficult questions, people are primed to think about computers and that when people expect to have future access to information, they have lower rates of recall of the information itself and enhanced recall instead for where to access it. The Internet has become a primary form of external or transactive memory, where information is stored collectively outside ourselves.
A Geometric Method for Model Reduction of Biochemical Networks with Polynomial Rate Functions.

PubMed

Samal, Satya Swarup; Grigoriev, Dima; Fröhlich, Holger; Weber, Andreas; Radulescu, Ovidiu

2015-12-01

Model reduction of biochemical networks relies on the knowledge of slow and fast variables. We provide a geometric method, based on the Newton polytope, to identify slow variables of a biochemical network with polynomial rate functions. The gist of the method is the notion of tropical equilibration that provides approximate descriptions of slow invariant manifolds. Compared to extant numerical algorithms such as the intrinsic low-dimensional manifold method, our approach is symbolic and utilizes orders of magnitude instead of precise values of the model parameters. Application of this method to a large collection of biochemical network models supports the idea that the number of dynamical variables in minimal models of cell physiology can be small, in spite of the large number of molecular regulatory actors.

What has become of critique? Reassembling sociology after Latour.

PubMed

Mills, Tom

2017-09-06

This paper offers a defence of sociology through an engagement with Actor Network Theory (ANT) and particularly the critique of 'critical' and politically engaged social science developed by Bruno Latour. It argues that ANT identifies some weaknesses in more conventional sociology and social theory, and suggests that 'critical' and 'public' orientated sociologists can learn from the analytical precision and ethnographic sensibilities that characterize ANT as a framework of analysis and a research programme. It argues, however, that Latour et al. have too hastily dispensed with 'critique' in favour of a value neutral descriptive sociology, and that the symmetrical and horizontalist approach adopted in ANT is particularly ill-suited to the development of scientific knowledge about social structures. It argues that a more straightforwardly realist sociology would share many of the strengths of ANT whilst being better able to interrogate, empirically and normatively, the centres of contemporary social power. © London School of Economics and Political Science 2017.
Health promoting leadership - different views of the concept.

PubMed

Eriksson, Andrea; Axelsson, Runo; Axelsson, Susanna Bihari

2011-01-01

To describe and analyse different views of health promoting leadership among actors involved in workplace health promotion in eight Swedish municipalities. Twenty individuals were interviewed and their views were analysed according to the methodology of phenomenograpic research, exploring how health promoting leadership was described, what motives were expressed, and what critical conditions were perceived for developing such leadership. The informants described health promoting leadership in three ways: organising health promoting activities, having a supportive leadership style, and developing a health promoting workplace. The motives mentioned for developing health promoting leadership were instrumental motives and improved health. The critical conditions for health promoting leadership were organisational conditions, characteristics of individual managers, and support to managers. It seems that the concept of health promoting leadership was often used to link ideas about good leadership to the health of employees. Organisational goals and management trends may also have influenced the motives as well as the conditions for development of health promoting leadership.
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.

PubMed

Dong, Lu; Zhong, Xiangnan; Sun, Changyin; He, Haibo

2016-08-31

In this paper, an event-triggered near optimal control structure is developed for nonlinear continuous-time systems with control constraints. Due to the saturating actuators, a nonquadratic cost function is introduced and the Hamilton-Jacobi-Bellman (HJB) equation for constrained nonlinear continuous-time systems is formulated. In order to solve the HJB equation, an actor-critic framework is presented. The critic network is used to approximate the cost function and the action network is used to estimate the optimal control law. In addition, in the proposed method, the control signal is transmitted in an aperiodic manner to reduce the computational and the transmission cost. Both the networks are only updated at the trigger instants decided by the event-triggered condition. Detailed Lyapunov analysis is provided to guarantee that the closed-loop event-triggered system is ultimately bounded. Three case studies are used to demonstrate the effectiveness of the proposed method.
Fetishes and factishes: Durkheim and Latour.

PubMed

Schiermer, Bjørn

2016-09-01

This paper defends the concept of 'fetishism' as an explanatory parameter in sociological theorizing on Durkheimian grounds, while at the same time paying due attention to important insights regarding the role of objects in social life, originating from Actor-Network Theory (ANT). It critically assesses the current critique of the concept of fetishism propagated by ANT protagonist Bruno Latour. Latour and suggests a compromise between these two 'schools'. First, to place the paper firmly in context, I analyse some examples of modern fetishism and outline the themes of the ensuing discussion. Next, I turn to Durkheim, seeking to develop a distinct interpretation of the concept of the social and of fetishism, and then point to some of Durkheim's shortcomings and attempt to make room for Latourian perspectives. Finally, I critically assess Latour's dismissal of forms of social 'explanation' and of the concept of fetishism. © London School of Economics and Political Science 2016.
Impaired Expected Value Computations Coupled With Overreliance on Stimulus-Response Learning in Schizophrenia.

PubMed

Hernaus, Dennis; Gold, James M; Waltz, James A; Frank, Michael J

2018-04-03

While many have emphasized impaired reward prediction error signaling in schizophrenia, multiple studies suggest that some decision-making deficits may arise from overreliance on stimulus-response systems together with a compromised ability to represent expected value. Guided by computational frameworks, we formulated and tested two scenarios in which maladaptive representations of expected value should be most evident, thereby delineating conditions that may evoke decision-making impairments in schizophrenia. In a modified reinforcement learning paradigm, 42 medicated people with schizophrenia and 36 healthy volunteers learned to select the most frequently rewarded option in a 75-25 pair: once when presented with a more deterministic (90-10) pair and once when presented with a more probabilistic (60-40) pair. Novel and old combinations of choice options were presented in a subsequent transfer phase. Computational modeling was employed to elucidate contributions from stimulus-response systems (actor-critic) and expected value (Q-learning). People with schizophrenia showed robust performance impairments with increasing value difference between two competing options, which strongly correlated with decreased contributions from expected value-based learning (Q-learning). Moreover, a subtle yet consistent contextual choice bias for the probabilistic 75 option was present in people with schizophrenia, which could be accounted for by a context-dependent reward prediction error in the actor-critic. We provide evidence that decision-making impairments in schizophrenia increase monotonically with demands placed on expected value computations. A contextual choice bias is consistent with overreliance on stimulus-response learning, which may signify a deficit secondary to the maladaptive representation of expected value. These results shed new light on conditions under which decision-making impairments may arise. Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Banking for health: opportunities in cooperation between banking and health applying innovation from other sectors.

PubMed

Kickbusch, Ilona; Krech, Rüdiger; Franz, Christian; Wells, Nadya

2018-01-01

The annual funding need for global health SDG targets is estimated by WHO at US$134 billion per year, rising to US$274-$371bn by 2030. This paper examines the challenge of making sustainable investment structures in global health more attractive for mainstream financial markets. The objective is a framework for targeted future debate with financial sector actors. Four case studies of innovative sustainable investment mechanisms are analysed, elaborating potential transfer of green and impact investment models in order to channel additional private sector funds to health. To increase private sector involvement, profit must accrue to providers of finance. The paper shows how health criteria can be incorporated into structures, which create triple bottom line return opportunities. Health infrastructure projects based on risk sharing models with governments or multilateral agencies could use long-term funding, with better credit ratings and lower cost of capital. Outcomes based investment, similar to green or social impact bonds, with third-party certification of measurable health impact, satisfy the private sector need for return with social interest objectives. Responsible investment could expand by adding a 'health' (H) criterion to the Environmental, Social and Governance (ESG) framework, implementing ESG+H for mainstream investment screening. These models are scalable, satisfy the need to dedicate funds to health and incorporate consistent critical success metrics. The conclusion finds that strong legal frameworks and exploration of fiscal incentives will be critical next steps to facilitate scaling up and broadening of interest from private sector financial actors. The impact these investments have on overall population health is a positive externality of sustainable global health investment.
Banking for health: opportunities in cooperation between banking and health applying innovation from other sectors

PubMed Central

Kickbusch, Ilona; Franz, Christian; Wells, Nadya

2018-01-01

The annual funding need for global health SDG targets is estimated by WHO at US$134 billion per year, rising to US$274-$371bn by 2030. This paper examines the challenge of making sustainable investment structures in global health more attractive for mainstream financial markets. The objective is a framework for targeted future debate with financial sector actors. Four case studies of innovative sustainable investment mechanisms are analysed, elaborating potential transfer of green and impact investment models in order to channel additional private sector funds to health. To increase private sector involvement, profit must accrue to providers of finance. The paper shows how health criteria can be incorporated into structures, which create triple bottom line return opportunities. Health infrastructure projects based on risk sharing models with governments or multilateral agencies could use long-term funding, with better credit ratings and lower cost of capital. Outcomes based investment, similar to green or social impact bonds, with third-party certification of measurable health impact, satisfy the private sector need for return with social interest objectives. Responsible investment could expand by adding a ‘health’ (H) criterion to the Environmental, Social and Governance (ESG) framework, implementing ESG+H for mainstream investment screening. These models are scalable, satisfy the need to dedicate funds to health and incorporate consistent critical success metrics. The conclusion finds that strong legal frameworks and exploration of fiscal incentives will be critical next steps to facilitate scaling up and broadening of interest from private sector financial actors. The impact these investments have on overall population health is a positive externality of sustainable global health investment. PMID:29915672
Exploring Gigabyte Datasets in Real Time: Architectures, Interfaces and Time-Critical Design

NASA Technical Reports Server (NTRS)

Bryson, Steve; Gerald-Yamasaki, Michael (Technical Monitor)

1998-01-01

Architectures and Interfaces: The implications of real-time interaction on software architecture design: decoupling of interaction/graphics and computation into asynchronous processes. The performance requirements of graphics and computation for interaction. Time management in such an architecture. Examples of how visualization algorithms must be modified for high performance. Brief survey of interaction techniques and design, including direct manipulation and manipulation via widgets. talk discusses how human factors considerations drove the design and implementation of the virtual wind tunnel. Time-Critical Design: A survey of time-critical techniques for both computation and rendering. Emphasis on the assignment of a time budget to both the overall visualization environment and to each individual visualization technique in the environment. The estimation of the benefit and cost of an individual technique. Examples of the modification of visualization algorithms to allow time-critical control.
Predicting Intentions of a Familiar Significant Other Beyond the Mirror Neuron System

PubMed Central

Cacioppo, Stephanie; Juan, Elsa; Monteleone, George

2017-01-01

Inferring intentions of others is one of the most intriguing issues in interpersonal interaction. Theories of embodied cognition and simulation suggest that this mechanism takes place through a direct and automatic matching process that occurs between an observed action and past actions. This process occurs via the reactivation of past self-related sensorimotor experiences within the inferior frontoparietal network (including the mirror neuron system, MNS). The working model is that the anticipatory representations of others' behaviors require internal predictive models of actions formed from pre-established, shared representations between the observer and the actor. This model suggests that observers should be better at predicting intentions performed by a familiar actor, rather than a stranger. However, little is known about the modulations of the intention brain network as a function of the familiarity between the observer and the actor. Here, we combined functional magnetic resonance imaging (fMRI) with a behavioral intention inference task, in which participants were asked to predict intentions from three types of actors: A familiar actor (their significant other), themselves (another familiar actor), and a non-familiar actor (a stranger). Our results showed that the participants were better at inferring intentions performed by familiar actors than non-familiar actors and that this better performance was associated with greater activation within and beyond the inferior frontoparietal network i.e., in brain areas related to familiarity (e.g., precuneus). In addition, and in line with Hebbian principles of neural modulations, the more the participants reported being cognitively close to their partner, the less the brain areas associated with action self-other comparison (e.g., inferior parietal lobule), attention (e.g., superior parietal lobule), recollection (hippocampus), and pair bond (ventral tegmental area, VTA) were recruited, suggesting that the more a shared mental representation has been pre-established, the more neurons show suppression in their response to the presentation of information to which they are sensitive. These results suggest that the relation of performance to the extent of neural activation during intention understanding may display differential relationships based on the cognitive domain, brain region, and the cognitive interdependence between the observer and the actor. PMID:28890691
Filial ethics and judgments of filial behaviour in Taiwan and the United States.

PubMed

Lee, I-Ching; Tan, Judy Y

2012-01-01

Parent-child relationships are fundamental human relationships in which specific norms govern proper parent-child interactions. Such norms, or filial ethics, have been observed in different cultures, including in the United States and Taiwan, but important differences may exist in how filial practices are viewed across cultures. From a traditional view of power as domination over others, if filial relationships are viewed to reflect power differentials between parents and children, actors who follow filial ethics should be viewed as less powerful than actors who do not follow filial ethics for maintaining or enhancing positive parent-child relationships. Alternatively, power can be conceptualized as the ability to meet one's needs (e.g., for communal care and trust), and actors who follow filial ethics should be viewed as more powerful and trustworthy than actors who do not follow filial ethics because they have the ability to maintain or enhance positive parent-child relationships. Based on a power-trust model, we compared American and Taiwanese perceptions of actors in an experiment using vignettes describing filial behaviours. We conducted a path analysis with a sample of 112 American and 74 Taiwanese participants to test the proposed relations. Results showed that both Taiwanese and Americans rated actors more favourably (i.e., as more powerful and trustworthy) when actors behaved according to filial ethics than when they did not. Some cross-cultural differences were also observed: Taiwanese attributed trust-traits to actors who performed filial practices to a larger degree than did Americans. We discuss implications for the implicit nature of filial relationships and conceptualization of power cross-culturally.
Filial ethics and judgments of filial behaviour in Taiwan and the United States†

PubMed Central

Lee, I-Ching; Tan, Judy Y.

2014-01-01

Parent–child relationships are fundamental human relationships in which specific norms govern proper parent–child interactions. Such norms, or filial ethics, have been observed in different cultures, including in the United States and Taiwan, but important differences may exist in how filial practices are viewed across cultures. From a traditional view of power as domination over others, if filial relationships are viewed to reflect power differentials between parents and children, actors who follow filial ethics should be viewed as less powerful than actors who do not follow filial ethics for maintaining or enhancing positive parent–child relationships. Alternatively, power can be conceptualized as the ability to meet one’s needs (e.g., for communal care and trust), and actors who follow filial ethics should be viewed as more powerful and trustworthy than actors who do not follow filial ethics because they have the ability to maintain or enhance positive parent–child relationships. Based on a power–trust model, we compared American and Taiwanese perceptions of actors in an experiment using vignettes describing filial behaviours. We conducted a path analysis with a sample of 112 American and 74 Taiwanese participants to test the proposed relations. Results showed that both Taiwanese and Americans rated actors more favourably (i.e., as more powerful and trustworthy) when actors behaved according to filial ethics than when they did not. Some cross-cultural differences were also observed: Taiwanese attributed trust-traits to actors who performed filial practices to a larger degree than did Americans. We discuss implications for the implicit nature of filial relationships and conceptualization of power cross-culturally. PMID:22248308
Modeling Temporal Variation in Social Network: An Evolutionary Web Graph Approach

NASA Astrophysics Data System (ADS)

Mitra, Susanta; Bagchi, Aditya

A social network is a social structure between actors (individuals, organization or other social entities) and indicates the ways in which they are connected through various social relationships like friendships, kinships, professional, academic etc. Usually, a social network represents a social community, like a club and its members or a city and its citizens etc. or a research group communicating over Internet. In seventies Leinhardt [1] first proposed the idea of representing a social community by a digraph. Later, this idea became popular among other research workers like, network designers, web-service application developers and e-learning modelers. It gave rise to a rapid proliferation of research work in the area of social network analysis. Some of the notable structural properties of a social network are connectedness between actors, reachability between a source and a target actor, reciprocity or pair-wise connection between actors with bi-directional links, centrality of actors or the important actors having high degree or more connections and finally the division of actors into sub-structures or cliques or strongly-connected components. The cycles present in a social network may even be nested [2, 3]. The formal definition of these structural properties will be provided in Sect. 8.2.1. The division of actors into cliques or sub-groups can be a very important factor for understanding a social structure, particularly the degree of cohesiveness in a community. The number, size, and connections among the sub-groups in a network are useful in understanding how the network, as a whole, is likely to behave.
Consumer trust in the Australian food system - The everyday erosive impact of food labelling.

PubMed

Tonkin, Emma; Webb, Trevor; Coveney, John; Meyer, Samantha B; Wilson, Annabelle M

2016-08-01

Consumer trust in food system actors is foundational for ensuring consumer confidence in food safety. As food labelling is a direct communication between consumers and food system actors, it may influence consumer perceptions of actor trustworthiness. This study explores the judgements formed about the trustworthiness of the food system and its actors through labelling, and the expectations these judgements are based on. In-depth, semi-structured interviews with 24 Australian consumers were conducted. Theoretical sampling focussed on shopping location, dietary requirements, rurality, gender, age and educational background. The methodological approach used (adaptive theory) enabled emerging data to be examined through the lens of a set of guiding theoretical concepts, and theory reconsidered in light of emerging data. Food labelling acted as a surrogate for personal interaction with industry and government for participants. Judgements about the trustworthiness of these actors and the broader food system were formed through interaction with food labelling and were based on expectations of both competence and goodwill. Interaction with labelling primarily reduced trust in actors within the food system, undermining trust in the system as a whole. Labelling has a role as an access point to the food system. Access points are points of vulnerability for systems, where trust can be developed, reinforced or broken down. For the participants in this study, in general labelling demonstrates food system actors lack goodwill and violate their fiduciary responsibility. This paper provides crucial insights for industry and policy actors to use this access point to build, rather than undermine, trust in food systems. Copyright © 2016 Elsevier Ltd. All rights reserved.
Algorithms for optimizing the treatment of depression: making the right decision at the right time.

PubMed

Adli, M; Rush, A J; Möller, H-J; Bauer, M

2003-11-01

Medication algorithms for the treatment of depression are designed to optimize both treatment implementation and the appropriateness of treatment strategies. Thus, they are essential tools for treating and avoiding refractory depression. Treatment algorithms are explicit treatment protocols that provide specific therapeutic pathways and decision-making tools at critical decision points throughout the treatment process. The present article provides an overview of major projects of algorithm research in the field of antidepressant therapy. The Berlin Algorithm Project and the Texas Medication Algorithm Project (TMAP) compare algorithm-guided treatments with treatment as usual. The Sequenced Treatment Alternatives to Relieve Depression Project (STAR*D) compares different treatment strategies in treatment-resistant patients.
Short Cuts and Extended Techniques: Rethinking Relations between Technology and Educational Theory

ERIC Educational Resources Information Center

Thumlert, Kurt; de Castell, Suzanne; Jenson, Jennifer

2015-01-01

Building upon a recent call to renew actor-network theory (ANT) for educational research, this article reconsiders relations between technology and educational theory. Taking cues from actor-network theorists, this discussion considers the technologically-mediated networks in which learning actors are situated, acted upon, and acting, and traces…
The Role of Preschoolers' Social Understanding in Evaluating the Informativeness of Causal Interventions

ERIC Educational Resources Information Center

Kushnir, Tamar; Wellman, Henry M.; Gelman, Susan A.

2008-01-01

Preschoolers use information from interventions, namely intentional actions, to make causal inferences. We asked whether children consider some interventions to be more informative than others based on two components of an actor's knowledge state: whether an actor "possesses" causal knowledge, and whether an actor is allowed to "use" their…
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…
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…
Software Innovations: The Influence of Quality, Diversity and Structure of Network Ties

ERIC Educational Resources Information Center

Singh, Harpeet

2010-01-01

There is high uncertainty associated with the outcomes of Information Technology (IT) investments and innovations. In such environments, IT actors (firm and individuals) are also unsure about their actions and preferences. The social relationships of these actors create substantial value for these actors in multiple ways (e.g. providing social…
Lone Actor Terrorist Attack Planning and Preparation: A Data-Driven Analysis.

PubMed

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.

Convergence of Proximal Iteratively Reweighted Nuclear Norm Algorithm for Image Processing.

PubMed

Sun, Tao; Jiang, Hao; Cheng, Lizhi

2017-08-25

The nonsmooth and nonconvex regularization has many applications in imaging science and machine learning research due to its excellent recovery performance. A proximal iteratively reweighted nuclear norm algorithm has been proposed for the nonsmooth and nonconvex matrix minimizations. In this paper, we aim to investigate the convergence of the algorithm. With the Kurdyka-Łojasiewicz property, we prove the algorithm globally converges to a critical point of the objective function. The numerical results presented in this paper coincide with our theoretical findings.
Efficiency of unconstrained minimization techniques in nonlinear analysis

NASA Technical Reports Server (NTRS)

Kamat, M. P.; Knight, N. F., Jr.

1978-01-01

Unconstrained minimization algorithms have been critically evaluated for their effectiveness in solving structural problems involving geometric and material nonlinearities. The algorithms have been categorized as being zeroth, first, or second order depending upon the highest derivative of the function required by the algorithm. The sensitivity of these algorithms to the accuracy of derivatives clearly suggests using analytically derived gradients instead of finite difference approximations. The use of analytic gradients results in better control of the number of minimizations required for convergence to the exact solution.
Seeing Iconic Gestures While Encoding Events Facilitates Children's Memory of These Events.

PubMed

Aussems, Suzanne; Kita, Sotaro

2017-11-08

An experiment with 72 three-year-olds investigated whether encoding events while seeing iconic gestures boosts children's memory representation of these events. The events, shown in videos of actors moving in an unusual manner, were presented with either iconic gestures depicting how the actors performed these actions, interactive gestures, or no gesture. In a recognition memory task, children in the iconic gesture condition remembered actors and actions better than children in the control conditions. Iconic gestures were categorized based on how much of the actors was represented by the hands (feet, legs, or body). Only iconic hand-as-body gestures boosted actor memory. Thus, seeing iconic gestures while encoding events facilitates children's memory of those aspects of events that are schematically highlighted by gesture. © 2017 The Authors. Child Development © 2017 Society for Research in Child Development, Inc.
Actor-partner effects associated with experiencing intimate partner violence or coercion among male couples enrolled in an HIV prevention trial

PubMed Central

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
Is the last "man" standing in comedy the least funny? A retrospective cohort study of elite stand-up comedians versus other entertainers.

PubMed

Stewart, Simon; Wiley, Joshua F; McDermott, Cressida J; Thompson, David R

2016-10-01

This study aimed to confirm, in a large, diverse cohort of elite Stand-up Comedians and other entertainers, that there is an inverse association between comedic ability and longevity. This retrospective cohort study included 200 Stand-up Comedians (13% women), 113 Comedy Actors (17.5% women), and 184 Dramatic Actors (29.3% women) listed in the top 200 in each category in a popular online ranking website. Longevity within each group was examined adjusting for life expectancy by year of birth and within-group ranking score. Stand-up Comedians were younger than Comedy Actors (median birth year 1962 versus 1947: p<0.001) and Dramatic Actors (1962 versus 1946: p<0.001). Overall, 36/200 (18.0%), 33/114 (29.0%) and 56/184 (30.9%) of Stand-up Comedians, Comedy Actors and Dramatic Actors, respectively, had died (p=0.011). There was a significant gradient (p=0.011) in the age of death, with Stand-up Comedians dying at a younger age (67.1±21.3years) than their Comedy Actor (68.9±15.4years) and Dramatic Actor (70.7±16.6years) counterparts. Stand-up Comedians (38.9% versus 19.6%) were more likely to die prematurely compared to Dramatic Actors; p=0.043, OR 1.98; 95% CI 1.01 to 3.87). Independent of year of birth, for Stand-up Comedians alone, higher comedy rank was associated with shorter longevity (hazard ratio 0.938, 95% CI 0.880 to 0.999 for a 10-rank difference; p=0.045). These data reaffirm an adverse relationship between comedic ability and longevity, with elite Stand-up Comedians more highly rated by the public more likely to die prematurely. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Changing the Culture of Academic Medicine: Critical Mass or Critical Actors?

PubMed Central

Newbill, Sharon L.; Cardinali, Gina; Morahan, Page S.; Chang, Shine; Magrane, Diane

2017-01-01

Abstract Purpose: By 2006, women constituted 34% of academic medical faculty, reaching a critical mass. Theoretically, with critical mass, culture and policy supportive of gender equity should be evident. We explore whether having a critical mass of women transforms institutional culture and organizational change. Methods: Career development program participants were interviewed to elucidate their experiences in academic health centers (AHCs). Focus group discussions were held with institutional leaders to explore their perceptions about contemporary challenges related to gender and leadership. Content analysis of both data sources revealed points of convergence. Findings were interpreted using the theory of critical mass. Results: Two nested domains emerged: the individual domain included the rewards and personal satisfaction of meaningful work, personal agency, tensions between cultural expectations of family and academic roles, and women's efforts to work for gender equity. The institutional domain depicted the sociocultural environment of AHCs that shaped women's experience, both personally and professionally, lack of institutional strategies to engage women in organizational initiatives, and the influence of one leader on women's ascent to leadership. Conclusions: The predominant evidence from this research demonstrates that the institutional barriers and sociocultural environment continue to be formidable obstacles confronting women, stalling the transformational effects expected from achieving a critical mass of women faculty. We conclude that the promise of critical mass as a turning point for women should be abandoned in favor of “critical actor” leaders, both women and men, who individually and collectively have the commitment and power to create gender-equitable cultures in AHCs. PMID:28092473
Combinatorial and Algorithmic Rigidity: Beyond Two Dimensions

DTIC Science & Technology

2012-12-01

problem. Manuscript, 2010. [35] G. Panina and I. Streinu. Flattening single-vertex origami : the non- expansive case. Computational Geometry : Theory and...in 2008, under the DARPA solicitation “Mathemat- ical Challenges, BAA 07-68”. It addressed Mathematical Challenge Ten: Al- gorithmic Origami and...a number of optimal algorithms and provided critical complexity analysis. The topic of algorithmic origami was successfully engaged from the same
Strategic factors for the sustainability of a health intervention at municipal level of Brazil.

PubMed

Oliveira, Sydia Rosana de Araujo; Medina, Maria Guadalupe; Figueiró, Ana Cláudia; Potvin, Louise

2017-07-27

The present study aims to describe the evolution of an intervention, using a methodology that adopts the critical event as the unit of analysis, and to identify strategic factors that facilitate the continuation of the interventions. Six critical events were identified: dispute care models for health; area of advice: dispute field; change policy; break of interorganizational relations; lack of physical structure and turnover of staff; difficulty in organizing practices in the work process. these are developed into strategic factors: enabling network of allies; meetings and educational activities/building capacity; benefits perceived by community members; mobilization of key actors; intervention's compatibility with the government's vision; restoration of interrelationship; and stability of the workforce. These strategic factors form a group of interrelated conditions that provide the strengthened linkages between elements in the intervention, supporting the hypothesis that they collaborate for the sustainability of the interventions in health. Tracking down the transformations of an intervention set by the critical events, it was verified that these factors performed a protective role at times of changes in the intervention process.
Young and juvenile chimpanzees' (Pan troglodytes) reactions to intentional versus accidental and inadvertent actions.

PubMed

Povinelli, D J; Perilloux, H K; Reaux, J E; Bierschwale, D T

1998-02-01

Chimpanzees were tested for their ability to discriminate between accidental/inadvertent and intentional actions with equivalent adverse consequences. Subjects were first trained to `point' to human trainers in order to receive food rewards. In Experiment 1, six 5-year-old subjects were alternately presented with two unfamiliar human actors. In condition 1, each actor either started to hand a cup of juice to the trainer but then pulled it back and intentionally poured it onto the floor, or accidentally spilled it while handing it to the trainer. In condition 2, the actors either accidentally spilled it as above, or aggressively threw the juice onto the floor. The subjects were then presented with both actors and were allowed to choose between them. In Experiment 2, seven 6-7-year-old chimpanzees were confronted with unfamiliar actors who either (a) intentionally withheld and consumed food intended for the subjects, (b) attempted to hand the intended food to the subjects but were victimized by a third party who consumed the food, or (c) always succeeded in delivering the food to the subjects. In general, the subjects showed little evidence of using the accidental/inadvertent versus intentional distinction in their choices between the actors, although they did display some evidence of favoring the actor involved in the most passive role in both conditions in Experiment 1.
What You Know Can Hurt You: Effects of Age and Prior Knowledge on the Accuracy of Judgments of Learning

PubMed Central

Toth, Jeffrey P.; Daniels, Karen A.; Solinger, Lisa A.

2011-01-01

How do aging and prior knowledge affect memory and metamemory? We explored this question in the context of a dual-process approach to Judgments of Learning (JOLs) which require people to predict their ability to remember information at a later time. Young and older adults (n's = 36, mean ages = 20.2 & 73.1) studied the names of actors that were famous in the 1950s or 1990s, providing a JOL for each. Recognition memory for studied and unstudied actors was then assessed using a Recollect/Know/No-Memory (R/K/N) judgment task. Results showed that prior knowledge increased recollection in both age groups such that older adults recollected significantly more 1950s actors than younger adults. Also, for both age groups and both decades, actors judged R at test garnered significantly higher JOLs at study than actors judged K or N. However, while the young showed benefits of prior knowledge on relative JOL accuracy, older adults did not, showing lower levels of JOL accuracy for 1950s actors despite having higher recollection for, and knowledge about, those actors. Overall, the data suggest that prior knowledge can be a double-edged sword, increasing the availability of details that can support later recollection, but also increasing non-diagnostic feelings of familiarity that can reduce the accuracy of memory predictions. PMID:21480715
Corruption and the Other(s): Scope of Superordinate Identity Matters for Corruption Permissibility.

PubMed

Pisor, Anne C; Gurven, Michael

2015-01-01

The decision to engage in corruption-public and private corruption, nepotism, and embezzlement-is often attributed to rational actors maximizing benefits to themselves. However, the importance of reciprocal relationships in humans suggests that an actor may weigh the costs of harms of her corrupt behavior to individuals who may generate future benefits for her. We hypothesize that actors who have a larger circle of actual and potential social partners will have more individuals to consider when generating harms and will thus be less likely to find corrupt acts permissible than actors with smaller circles of valued others. Using data from the World Values Survey and European Values Study (WVS), we explore whether participants with a larger geographic identity or a greater number of group memberships (i.e. a larger scope of actual and potential social partners) are less likely to find accepting bribes permissible. We find mixed support for our hypotheses, but consistently find that WVS participants with local, country, continent, or world geographic identities are less likely to find accepting a bribe permissible than those with regional identities-that is, actors whose primary identities that encompass more than their region find corruption less permissible. We discuss the importance of considering an actor's valuation of others when modeling corruption persistence, noting that establishing scopes of positive valuation is a precursor to predicting where actors will target benefits and shunt costs.
On the calculation of low-thrust fail-safe trajectories

NASA Technical Reports Server (NTRS)

Sauer, C. G., Jr.

1975-01-01

A guidance algorithm is developed for a low-thrust spacecraft such that target intercept is possible in spite of premature thrust termination along the trajectory. Such a trajectory is called a 'fail-safe' trajectory and the spacecraft thrust is utilized to minimize the relative target-spacecraft approach speed. The fail-safe guidance algorithm is solved using the concept of a critical thrust plane and a non-critical thrust direction. Several examples of fail-safe guidance are presented for a solar-electric propulsion flyby mission to the comet Encke.
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…
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…
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…
Top-down, Bottom-up and Sideways: The Multilayered Complexities of Multi-level Actors Shaping Forest Governance and REDD+ Arrangements in Madre de Dios, Peru.

PubMed

Rodriguez-Ward, Dawn; Larson, Anne M; Ruesta, Harold Gordillo

2018-01-03

This study examines the role multilevel governance plays in the adoption of sustainable landscape management initiatives in emerging arrangements aimed at reducing emissions from deforestation and forest degradation (REDD+). It sheds light on the challenges these multiple layers of actors and interests encounter around such alternatives in a subnational jurisdiction. Through transcript analysis of 93 interviews with institutional actors in the region of Madre de Dios, Peru, particularly with regard to five sites of land-use change, we identified the multiple actors who are included and excluded in the decision-making process and uncovered their complex interactions in forest and landscape governance and REDD+ arrangements. Madre de Dios is a useful case for studying complex land-use dynamics, as it is home to multiple natural resources, a large mix of actors and interests, and a regional government that has recently experienced the reverberations of decentralization. Findings indicate that multiple actors shaped REDD+ to some extent, but REDD+ and its advocates were unable to shape land-use dynamics or landscape governance, at least in the short term. In the absence of strong and effective regional regulation for sustainable land use alternatives and the high value of gold on the international market, illegal gold mining proved to be a more profitable land-use choice. Although REDD+ created a new space for multilevel actor interaction and communication and new alliances to emerge, the study questions the prevailing REDD+ discourse suggesting that better coordination and cooperation will lead to integrated landscape solutions. For REDD+ to be able to play a role in integrated landscape governance, greater attention needs to be paid to grassroots actors, power and authority over territory and underlying interests and incentives for land-use change.
What makes a movement a gesture?

PubMed

Novack, Miriam A; Wakefield, Elizabeth M; Goldin-Meadow, Susan

2016-01-01

Theories of how adults interpret the actions of others have focused on the goals and intentions of actors engaged in object-directed actions. Recent research has challenged this assumption, and shown that movements are often interpreted as being for their own sake (Schachner & Carey, 2013). Here we postulate a third interpretation of movement-movement that represents action, but does not literally act on objects in the world. These movements are gestures. In this paper, we describe a framework for predicting when movements are likely to be seen as representations. In Study 1, adults described one of three scenes: (1) an actor moving objects, (2) an actor moving her hands in the presence of objects (but not touching them) or (3) an actor moving her hands in the absence of objects. Participants systematically described the movements as depicting an object-directed action when the actor moved objects, and favored describing the movements as depicting movement for its own sake when the actor produced the same movements in the absence of objects. However, participants favored describing the movements as representations when the actor produced the movements near, but not on, the objects. Study 2 explored two additional features-the form of an actor's hands and the presence of speech-like sounds-to test the effect of context on observers' classification of movement as representational. When movements are seen as representations, they have the power to influence communication, learning, and cognition in ways that movement for its own sake does not. By incorporating representational gesture into our framework for movement analysis, we take an important step towards developing a more cohesive understanding of action-interpretation. Copyright © 2015 Elsevier B.V. All rights reserved.
Statistical learning in social action contexts

PubMed Central

Meyer, Marlene; Gerson, Sarah; Hunnius, Sabine

2017-01-01

Sensitivity to the regularities and structure contained within sequential, goal-directed actions is an important building block for generating expectations about the actions we observe. Until now, research on statistical learning for actions has solely focused on individual action sequences, but many actions in daily life involve multiple actors in various interaction contexts. The current study is the first to investigate the role of statistical learning in tracking regularities between actions performed by different actors, and whether the social context characterizing their interaction influences learning. That is, are observers more likely to track regularities across actors if they are perceived as acting jointly as opposed to in parallel? We tested adults and toddlers to explore whether social context guides statistical learning and—if so—whether it does so from early in development. In a between-subjects eye-tracking experiment, participants were primed with a social context cue between two actors who either shared a goal of playing together (‘Joint’ condition) or stated the intention to act alone (‘Parallel’ condition). In subsequent videos, the actors performed sequential actions in which, for certain action pairs, the first actor’s action reliably predicted the second actor’s action. We analyzed predictive eye movements to upcoming actions as a measure of learning, and found that both adults and toddlers learned the statistical regularities across actors when their actions caused an effect. Further, adults with high statistical learning performance were sensitive to social context: those who observed actors with a shared goal were more likely to correctly predict upcoming actions. In contrast, there was no effect of social context in the toddler group, regardless of learning performance. These findings shed light on how adults and toddlers perceive statistical regularities across actors depending on the nature of the observed social situation and the resulting effects. PMID:28475619
Comparing barrier algorithms

NASA Technical Reports Server (NTRS)

Arenstorf, Norbert S.; Jordan, Harry F.

1987-01-01

A barrier is a method for synchronizing a large number of concurrent computer processes. After considering some basic synchronization mechanisms, a collection of barrier algorithms with either linear or logarithmic depth are presented. A graphical model is described that profiles the execution of the barriers and other parallel programming constructs. This model shows how the interaction between the barrier algorithms and the work that they synchronize can impact their performance. One result is that logarithmic tree structured barriers show good performance when synchronizing fixed length work, while linear self-scheduled barriers show better performance when synchronizing fixed length work with an imbedded critical section. The linear barriers are better able to exploit the process skew associated with critical sections. Timing experiments, performed on an eighteen processor Flex/32 shared memory multiprocessor, that support these conclusions are detailed.
Detection of strong attractors in social media networks.

PubMed

Qasem, Ziyaad; Jansen, Marc; Hecking, Tobias; Hoppe, H Ulrich

2016-01-01

Detection of influential actors in social media such as Twitter or Facebook plays an important role for improving the quality and efficiency of work and services in many fields such as education and marketing. The work described here aims to introduce a new approach that characterizes the influence of actors by the strength of attracting new active members into a networked community. We present a model of influence of an actor that is based on the attractiveness of the actor in terms of the number of other new actors with which he or she has established relations over time. We have used this concept and measure of influence to determine optimal seeds in a simulation of influence maximization using two empirically collected social networks for the underlying graphs. Our empirical results on the datasets demonstrate that our measure stands out as a useful measure to define the attractors comparing to the other influence measures.

[Influence of human personal features on acoustic correlates of speech emotional intonation characteristics].

PubMed

Dmitrieva, E S; Gel'man, V Ia; Zaĭtseva, K A; Orlov, A M

2009-01-01

Comparative study of acoustic correlates of emotional intonation was conducted on two types of speech material: sensible speech utterances and short meaningless words. The corpus of speech signals of different emotional intonations (happy, angry, frightened, sad and neutral) was created using the actor's method of simulation of emotions. Native Russian 20-70-year-old speakers (both professional actors and non-actors) participated in the study. In the corpus, the following characteristics were analyzed: mean values and standard deviations of the power, fundamental frequency, frequencies of the first and second formants, and utterance duration. Comparison of each emotional intonation with "neutral" utterances showed the greatest deviations of the fundamental frequency and frequencies of the first formant. The direction of these deviations was independent of the semantic content of speech utterance and its duration, age, gender, and being actor or non-actor, though the personal features of the speakers affected the absolute values of these frequencies.
Political liberalism and religious claims: Four blind spots.

PubMed

Stoeckl, Kristina

2017-01-01

This article gives an overview of 4 important lacunae in political liberalism and identifies, in a preliminary fashion, some trends in the literature that can come in for support in filling these blind spots, which prevent political liberalism from a correct assessment of the diverse nature of religious claims. Political liberalism operates with implicit assumptions about religious actors being either 'liberal' or 'fundamentalist' and ignores a third, in-between group, namely traditionalist religious actors and their claims. After having explained what makes traditionalist religious actors different from liberal and fundamentalist religious actors, the author develops 4 areas in which political liberalism should be pushed further theoretically in order to correctly theorize the challenge which traditional religious actors pose to liberal democracy. These 4 areas (blind spots) are: (1) the context of translation; (2) the politics of exemptions; (3) the multivocality of theology; and (4) the transnational nature of norm-contestation.
Political liberalism and religious claims

PubMed Central

2016-01-01

This article gives an overview of 4 important lacunae in political liberalism and identifies, in a preliminary fashion, some trends in the literature that can come in for support in filling these blind spots, which prevent political liberalism from a correct assessment of the diverse nature of religious claims. Political liberalism operates with implicit assumptions about religious actors being either ‘liberal’ or ‘fundamentalist’ and ignores a third, in-between group, namely traditionalist religious actors and their claims. After having explained what makes traditionalist religious actors different from liberal and fundamentalist religious actors, the author develops 4 areas in which political liberalism should be pushed further theoretically in order to correctly theorize the challenge which traditional religious actors pose to liberal democracy. These 4 areas (blind spots) are: (1) the context of translation; (2) the politics of exemptions; (3) the multivocality of theology; and (4) the transnational nature of norm-contestation. PMID:28344375
Competing actors in the climate change arena in Mexico: A network analysis.

PubMed

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.
Building Stronger State Partnerships with the US Department of Energy (Energy Assurance)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mike Keogh

2011-09-30

From 2007 until 2011, the National Association of Regulatory Utility Commissioners (NARUC) engaged in a partnership with the National Energy Technology Lab (NETL) to improve State-Federal coordination on electricity policy and energy assurance issues. This project allowed State Public Utility Commissioners and their staffs to engage on the most cutting-edge level in the arenas of energy assurance and electricity policy. Four tasks were outlined in the Statement of Performance Objectives: Task 1 - Training for Commissions on Critical Infrastructure Topics; Task 2 - Analyze and Implement Recommendations on Energy Assurance Issues; Task 3 - Ongoing liaison activities & outreach tomore » build stronger networks between federal agencies and state regulators; and Task 4 - Additional Activities. Although four tasks were prescribed, in practice these tasks were carried out under two major activity areas: the critical infrastructure and energy assurance partnership with the US Department of Energy's Infrastructure Security and Emergency Response office, and the National Council on Electricity Policy, a collaborative which since 1994 has brought together State and Federal policymakers to address the most pressing issues facing the grid from restructuring to smart grid implementation. On Critical Infrastructure protection, this cooperative agreement helped State officials yield several important advances. The lead role on NARUC's side was played by our Committee on Critical Infrastructure Protection. Key lessons learned in this arena include the following: (1) Tabletops and exercises work - They improve the capacity of policymakers and their industry counterparts to face the most challenging energy emergencies, and thereby equip these actors with the capacity to face everything up to that point as well. (2) Information sharing is critical - Connecting people who need information with people who have information is a key success factor. However, exposure of critical infrastructure information to bad actors also creates new vulnerabilities. (3) Tensions exist between the transparency-driven basis of regulatory activity and the information-protection requirements of asset protection. (4) Coordination between states is a key success factor - Because comparatively little federal authority exists over electricity and other energy infrastructure, the interstate nature of these energy grids defy centralized command and control governance. Patchwork responses are a risk when addressed at a state-by-state level. Coordination is the key to ensuring consistent response to shared threats. In Electricity Policy, the National Council on Electricity Policy continued to make important strides forward. Coordinated electricity policy among States remains the best surrogate for an absent national electricity policy. In every area from energy efficiency to clean coal, State policies are driving the country's electricity policy, and regional responses to climate change, infrastructure planning, market operation, and new technology deployment depend on a forum for bringing the States together.« less
ACToR – Aggregated Computational Toxicology Resource ...

EPA Pesticide Factsheets

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.
"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…
Tuning in to Another Person's Action Capabilities: Perceiving Maximal Jumping-Reach Height from Walking Kinematics

ERIC Educational Resources Information Center

Ramenzoni, Veronica; Riley, Michael A.; Davis, Tehran; Shockley, Kevin; Armstrong, Rachel

2008-01-01

Three experiments investigated the ability to perceive the maximum height to which another actor could jump to reach an object. Experiment 1 determined the accuracy of estimates for another actor's maximal reach-with-jump height and compared these estimates to estimates of the actor's standing maximal reaching height and to estimates of the…
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…
From Capitol Hill to Dupont Circle and Beyond: The Influence of Policy Actors in the Federal Higher Education Rulemaking Process

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…
Actor Diversity and Interactions in the Development of Banana Hybrid Varieties in Uganda: Implications for Technology Uptake

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…
Nonhumans Unbound: Actor-Network Theory and the Reconsideration of "Things" in Educational Foundations

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…
Comparisons of Multilevel Modeling and Structural Equation Modeling Approaches to Actor-Partner Interdependence Model.

PubMed

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.
'The biggest legal battle in UK casino history': Processes and politics of 'cheating' in sociotechnical networks.

PubMed

Johnson, Mark R

2018-04-01

Previous literature on cheating has focused on defining the concept, assigning responsibility to individual players, collaborative social processes or technical faults in a game's rules. By contrast, this paper applies an actor-network perspective to understanding 'cheating' in games, and explores how the concept is rhetorically effective in sociotechnical controversies. The article identifies human and nonhuman actors whose interests and properties were translated in a case study of 'edge sorting' - identifying minor but crucial differences in tessellated patterns on the backs of playing cards, and using these to estimate their values. In the ensuing legal controversy, the defending actors - casinos - retranslated the interests of actors to position edge sorting as cheating. This allowed the casinos to emerge victorious in a legal battle over almost twenty million dollars. Analyzing this dispute shows that cheating is both sociotechnically complex as an act and an extremely powerful rhetorical tool for actors seeking to prevent changes to previously-established networks. Science and Technology Studies (STS) offers a rich toolkit for examining cheating, but in addition the cheating discourse may be valuable to STS, enlarging our repertoire of actor strategies relevant to sociotechnical disputes.
Emotional labor actors: a latent profile analysis of emotional labor strategies.

PubMed

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.
[Local public health networks. Apropos of an experience].

PubMed

Guix, Joan; Bocio, Ana; Ferràs, Joaquim; Margalef, Jordi; Osanz, Anna C; Serrano, Mónica; Sentenà, Anna

2013-01-01

Public health action on a territory is complex and requires the involvement of multiple actors, who do not always act coordinately. Networks of organizations structures including the whole of the local actors facilitate the generation of synergies and enable greater effectiveness and efficiency of the joint action from the different actors on a same landscape. We present 3 years experience of four Public Health Committees in a region of Catalonia (Spain), composed by the main actors in public health planning. Each of the committees is organized on a plenary and working groups on issues arising from the regional health diagnosis, and coincident with the Health Plan of the Region. Coordination in no case implies the loss or dilution of the firm of the actor generator of intervention initiative in public health, but their empowerment and collaboration by the other actors. In conclusion welcomes the creation of a culture of collaboration and synergies between the different organizations concerned. Lack of specificity is observed in establishing operational objectives, and the need for greater coordination and involvement of the components of the various working groups. Copyright © 2012 SESPAS. Published by Elsevier Espana. All rights reserved.
Balanced Centrality of Networks.

PubMed

Debono, Mark; Lauri, Josef; Sciriha, Irene

2014-01-01

There is an age-old question in all branches of network analysis. What makes an actor in a network important, courted, or sought? Both Crossley and Bonacich contend that rather than its intrinsic wealth or value, an actor's status lies in the structures of its interactions with other actors. Since pairwise relation data in a network can be stored in a two-dimensional array or matrix, graph theory and linear algebra lend themselves as great tools to gauge the centrality (interpreted as importance, power, or popularity, depending on the purpose of the network) of each actor. We express known and new centralities in terms of only two matrices associated with the network. We show that derivations of these expressions can be handled exclusively through the main eigenvectors (not orthogonal to the all-one vector) associated with the adjacency matrix. We also propose a centrality vector (SWIPD) which is a linear combination of the square, walk, power, and degree centrality vectors with weightings of the various centralities depending on the purpose of the network. By comparing actors' scores for various weightings, a clear understanding of which actors are most central is obtained. Moreover, for threshold networks, the (SWIPD) measure turns out to be independent of the weightings.
The Risks of Multimedia Methods

PubMed Central

Lenert, Leslie A.; Ziegler, Jennifer; Lee, Tina; Unfred, Christine; Mahmoud, Ramy

2000-01-01

Objective: While the use of multimedia methods in medical education and decision support can facilitate learning, it also has certain hazards. One potential hazard is the inadvertent triggering of racial and gender bias by the appearance of actors or patients in presentations. The authors hypothesized that race and gender affect preferences. To explore this issue they studied the effects of actors' race and gender on preference ratings for health states that include symptoms of schizophrenia. Design: A convenience sample of patients with schizophrenia, family members of patients, and health professionals was used. Participants were randomly assigned to rate two health states, one portrayed by either a man of mixed race (Hispanic-black) or a white man and the second portrayed by either a white woman or a white man. Measurements: Visual analog scale (VAS) and standard gamble ratings of health state preferences for health states that include symptoms of mild and moderate schizophrenia. Results: Studies of the effects of the race of the actor (n = 114) revealed that racial mismatch between the actor and the participant affected the participant's preferences for health states. Ratings were lower when racial groups differed (mean difference, 0.098 for visual analog scale ratings and 0.053 lower in standard gamble, P = 0.006 for interactions between the race of the subject and the actor). In studies of the effects of a female actress on ratings (n = 117), we found no evidence of a corresponding interaction between the gender of the actor and the study participant. Rather, an interaction between actor's gender and method of assessment was observed. Standard gamble ratings (difference between means, 0.151), but not visual analog scale ratings (difference, 0.005), were markedly higher when the state was portrayed by the actress (P = 0.003 for interactions between actor's gender and method of preference assessment). Differential effects on standard gamble ratings suggest than an actor's gender may influence the willingness of viewers to gamble to gain health benefits (or risk attitude). Conclusions: Educators and researchers considering the use of multimedia methods for decision support need to be aware of the potential for the race and gender of patients or actors to influence preferences for health states and thus, potentially, medical decisions. PMID:10730601
Prospective implementation of an algorithm for bedside intravascular ultrasound-guided filter placement in critically ill patients.

PubMed

Killingsworth, Christopher D; Taylor, Steven M; Patterson, Mark A; Weinberg, Jordan A; McGwin, Gerald; Melton, Sherry M; Reiff, Donald A; Kerby, Jeffrey D; Rue, Loring W; Jordan, William D; Passman, Marc A

2010-05-01

Although contrast venography is the standard imaging method for inferior vena cava (IVC) filter insertion, intravascular ultrasound (IVUS) imaging is a safe and effective option that allows for bedside filter placement and is especially advantageous for immobilized critically ill patients by limiting resource use, risk of transportation, and cost. This study reviewed the effectiveness of a prospectively implemented algorithm for IVUS-guided IVC filter placement in this high-risk population. Current evidence-based guidelines were used to create a clinical decision algorithm for IVUS-guided IVC filter placement in critically ill patients. After a defined lead-in phase to allow dissemination of techniques, the algorithm was prospectively implemented on January 1, 2008. Data were collected for 1 year using accepted reporting standards and a quality assurance review performed based on intent-to-treat at 6, 12, and 18 months. As defined in the prospectively implemented algorithm, 109 patients met criteria for IVUS-directed bedside IVC filter placement. Technical feasibility was 98.1%. Only 2 patients had inadequate IVUS visualization for bedside filter placement and required subsequent placement in the endovascular suite. Technical success, defined as proper deployment in an infrarenal position, was achieved in 104 of the remaining 107 patients (97.2%). The filter was permanent in 21 (19.6%) and retrievable in 86 (80.3%). The single-puncture technique was used in 101 (94.4%), with additional dual access required in 6 (5.6%). Periprocedural complications were rare but included malpositioning requiring retrieval and repositioning in three patients, filter tilt >/=15 degrees in two, and arteriovenous fistula in one. The 30-day mortality rate for the bedside group was 5.5%, with no filter-related deaths. Successful placement of IVC filters using IVUS-guided imaging at the bedside in critically ill patients can be established through an evidence-based prospectively implemented algorithm, thereby limiting the need for transport in this high-risk population. Copyright (c) 2010 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.
Fishing for leadership: The role diversification plays in facilitating change agents.

PubMed

Stoll, Joshua S

2017-09-01

Leadership is often viewed as being critical to successful natural resource management. This research focuses on a set of leaders identified through a social network analysis of fishers in a rural coastal region. Leaders' connections to different fisheries are evaluated, and these actors are found to be significantly more diversified than other fishers in the area. Drawing on theory related to institutional entrepreneurship and a series of in-depth interviews with these actors, this paper puts forward several hypotheses to explain how diverse social-ecological connections facilitate leadership. Three mechanisms are identified. Being diversified facilitates: (1) production of alternative visions; (2) framing of tractable strategies to sustain local marine resource; and (3) participation in the management process. While more research is needed to understand the relationship between diversification and leadership, these exploratory results suggest that leadership is, in part, a manifestation of ecological circumstance, supporting recent assertions that scholarship on leadership in natural resource management settings could benefit from being more attentive to the processes that shape leadership rather than fixating on individuals and their personal attributes. Given that fisheries policies increasingly constrain diversification, policymakers and managers should consider how specialization of fishers might change the form and function of leaders in the future. Copyright © 2017 Elsevier Ltd. All rights reserved.

Minimalist Social-Affective Value for Use in Joint Action: A Neural-Computational Hypothesis

PubMed Central

Lowe, Robert; Almér, Alexander; Lindblad, Gustaf; Gander, Pierre; Michael, John; Vesper, Cordula

2016-01-01

Joint Action is typically described as social interaction that requires coordination among two or more co-actors in order to achieve a common goal. In this article, we put forward a hypothesis for the existence of a neural-computational mechanism of affective valuation that may be critically exploited in Joint Action. Such a mechanism would serve to facilitate coordination between co-actors permitting a reduction of required information. Our hypothesized affective mechanism provides a value function based implementation of Associative Two-Process (ATP) theory that entails the classification of external stimuli according to outcome expectancies. This approach has been used to describe animal and human action that concerns differential outcome expectancies. Until now it has not been applied to social interaction. We describe our Affective ATP model as applied to social learning consistent with an “extended common currency” perspective in the social neuroscience literature. We contrast this to an alternative mechanism that provides an example implementation of the so-called social-specific value perspective. In brief, our Social-Affective ATP mechanism builds upon established formalisms for reinforcement learning (temporal difference learning models) nuanced to accommodate expectations (consistent with ATP theory) and extended to integrate non-social and social cues for use in Joint Action. PMID:27601989
Climate state: Science-state struggles and the formation of climate science in the US from the 1930s to 1960s.

PubMed

Baker, Zeke

2017-12-01

This article has two aims: first, to understand the co-production of climate science and the state, and second, to provide a test case for Pierre Bourdieu's field theory. To these ends, the article reconstructs the historical formation of a US climate science field, with an analytic focus on inter-field dynamics and heterogeneous networking practices. Drawing from primary- and secondary-source materials, the historical analysis focuses on relations between scientists and state actors from the 1930s to the 1960s. The account shows how actors with positions linking scientific and bureaucratic fields constructed critical nodes and 'hinges' that co-produced war-making and state expansion on the one hand, and a relatively autonomous climate science field on the other. The analysis explains the emergence of climate science by focusing on the WWII-era transformation of meteorology and oceanography into distinct disciplines, the emergence of 'basic' research as a central principle of post-war government, and the formation of a climate science field by the 1960s centered on computerized modeling and populated by an interdisciplinary scientific elite. The article concludes by indicating how these processes led to the subsequent development of climate change as a science-state conundrum that has reorganized the climate science field in recent decades.
Understanding intentional actions from observers' viewpoints: A social neuroscience perspective.

PubMed

Isoda, Masaki

2016-11-01

When we see others, we also try to 'see' their unobservable states of minds, such as beliefs, desires, and intentions. We carefully monitor others' actions, as we assume that those actions are outward manifestations of their internal states. Actors and observers can have divergent views on the cause of the same actions. Critically, it is often the observers' view that affects important decisions in social life, from deciding the optimal level of cooperation to judging moral responsibility and court's decisions. Thus, the judgment about intentionality and agency in others' actions determines the way in which the observer deals with the actor. The primate brain has two separate neural systems that function in understanding others' actions and intentions. The mirror system is activated by others' visible actions and predicts their physical consequences in goal terms, whereas the mentalizing system is primarily involved in the prediction of others' intentions and upcoming actions regardless of whether others' actions are directly observable or not. The functional roles of the two systems have sometimes been described as mutually independent or even oppositional. I propose a hypothesis that the two systems may collaborate closely for judging the sense of other-agency. Copyright © 2016 Elsevier Ireland Ltd and Japan Neuroscience Society. All rights reserved.
Plastic recycling in the Nordics: A value chain market analysis.

PubMed

Milios, Leonidas; Holm Christensen, Lena; McKinnon, David; Christensen, Camilla; Rasch, Marie Katrine; Hallstrøm Eriksen, Mikael

2018-06-01

There is low utilisation of plastic waste in the Nordic region and only a fraction of plastic materials go back into production processes through reuse and recycling practices. This paper aims to increase knowledge concerning factors that inhibit demand for recycled plastics, and to identify critical barriers for plastic recycling across the regional plastics value chain. A literature review and targeted interviews with key actors across the plastics value chain enabled the mapping of interactions between the major actors and identified hotspots that act as barriers to the flow of plastic materials. Barriers identified include the lack of both supply and demand of recycled plastic and are mainly attributed to the fragmented market of secondary materials. The main hotspots identified are the low demand due to price considerations, insufficient traceability and transparency in value chain transactions, and general design deficiencies in the recyclability of products. Value chain coordination is considered as the most important intervention by the interviewees, followed by the need for increased investment in innovation and technology development. Complementary measures that could counteract the identified barriers include public procurement for resource efficiency, ban on the incineration of recyclable materials, and specifications on the design of plastic products for reducing the number of different polymers, and the number and usage of additives. Copyright © 2018 Elsevier Ltd. All rights reserved.
Social actors and discourse on abortion in the Mexican press: the Paulina case.

PubMed

Taracena, Rosario

2002-05-01

The "Paulina case" is the story of a 13-year-old girl in Mexico who became pregnant in 1999 after being raped. Although she received permission to obtain a legal abortion, the hospital convinced her mother through misleading information to decline the abortion. This case has become an almost obligatory point of reference when abortion is discussed in Mexico. This paper analyses how the Mexican press portrayed the Paulina case and the social actors who participated in it--Paulina herself, Paulina's allies, the state government, the Catholic Church, members of the political party PAN and the National Human Rights Commission. One of the great breakthroughs of this case was that the denial of an abortion was judged to be a form of negligence. In demanding justice for Paulina, Paulina's allies were given moral authority in the press to denounce those who denied her an abortion. While the government of Baja California state and members of the PAN were held responsible for their role in the case, the Catholic Church, who was also responsible, seemed to escape criticism. It is probable that the large emotional weight of the Paulina case accomplished more in terms of changing public opinion in support of women's right to decide on abortion than any other single event to date.
Characteristics of pornography film actors: self-report versus perceptions of college students.

PubMed

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.
How trust in institutions and organizations builds general consumer confidence in the safety of food: a decomposition of effects.

PubMed

de Jonge, J; van Trijp, J C M; van der Lans, I A; Renes, R J; Frewer, L J

2008-09-01

This paper investigates the relationship between general consumer confidence in the safety of food and consumer trust in institutions and organizations. More specifically, using a decompositional regression analysis approach, the extent to which the strength of the relationship between trust and general confidence is dependent upon a particular food chain actor (for example, food manufacturers) is assessed. In addition, the impact of specific subdimensions of trust, such as openness, on consumer confidence are analyzed, as well as interaction effects of actors and subdimensions of trust. The results confirm previous findings, which indicate that a higher level of trust is associated with a higher level of confidence. However, the results from the current study extend on previous findings by disentangling the effects that determine the strength of this relationship into specific components associated with the different actors, the different trust dimensions, and specific combinations of actors and trust dimensions. The results show that trust in food manufacturers influences general confidence more than trust in other food chain actors, and that care is the most important trust dimension. However, the contribution of a particular trust dimension in enhancing general confidence is actor-specific, suggesting that different actors should focus on different trust dimensions when the purpose is to enhance consumer confidence in food safety. Implications for the development of communication strategies that are designed to regain or maintain consumer confidence in the safety of food are discussed.
Getting acquainted: Actor and partner effects of attachment and temperament on young children's peer behavior.

PubMed

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.
Policy dialogue to improve health outcomes in low income countries: what are the issues and way forward?

PubMed

Nabyonga-Orem, Juliet; Dovlo, Delanyo; Kwamie, Aku; Nadege, Ade; Guangya, Wang; Kirigia, Joses Muthuri

2016-07-18

This paper has three objectives: to review the health development landscape in the World Health Organization African Region, to discuss the role of health policy dialogue in improving harmonisation and alignment to national health policies and strategic plans, and to provide an analytical view of the critical factors in realising a good outcome from a health policy dialogue process. Strengthening policy dialogue to support the development and implementation of robust and comprehensive national health policies and plans, as well as to improve aid effectiveness, is seen as a strategic entry point to improving health sector results. However, unbalanced power relations, the lack of contextualised and relevant evidence, the diverse interests of the actors involved, and the lack of conceptual clarity on what policy dialogue entails impact the outcomes of a policy dialogue process. The critical factors for a successful policy dialogue have been identified as adequate preparation; secured time and resources to facilitate an open, inclusive and informed discussion among the stakeholders; and stakeholders' monitoring and assessment of the dialogue's activities for continued learning. Peculiarities of low income countries pose a challenge to their policy dialogue processes, including the chaotic-policy making processes, the varied capacity of the actors and donor dependence. Policy dialogue needs to be appreciated as a complex and iterative process that spans the whole process of policy-making, implementation, review and monitoring, and subsequent policy revisions. The existence of the critical factors for a successful policy dialogue process needs to be ensured whilst paying special attention to the peculiarities of low income countries and potential power relations, and mitigating the possible negative consequences. There is need to be cognisant of the varied capacities and interests of stakeholders and the need for capacity building, and to put in place mechanisms to manage conflict of interest. The likelihood of a favourable outcome from a policy dialogue process will depend on the characteristics of the issue under consideration and whether it is contested or not, and the policy dialogue process needs to be tailored accordingly.
A Critical Analysis of Purchasing Arrangements in Kenya: The Case of the National Hospital Insurance Fund

PubMed Central

Munge, Kenneth; Mulupi, Stephen; Barasa, Edwine W.; Chuma, Jane

2018-01-01

Background: Purchasing refers to the process by which pooled funds are paid to providers in order to deliver a set of health care interventions. Very little is known about purchasing arrangements in low- and middle-income countries (LMICs), and certainly not in Kenya. This study aimed to critically analyse purchasing arrangements in Kenya, using the National Hospital Insurance Fund (NHIF) as a case study. Methods: We applied a principal-agent relationship framework, which identifies three pairs of principal-agent relationships (government-purchaser, purchaser-provider, and citizen-purchaser) and specific actions required within them to achieve strategic purchasing. A qualitative case study approach was applied. Data were collected through document reviews (statutes, policy and regulatory documents) and in-depth interviews (n=62) with key informants including NHIF officials, Ministry of Health (MoH) officials, insurance industry actors, and health service providers. Documents were summarised using standardised forms. Interviews were recorded, transcribed verbatim, and analysed using a thematic framework approach. Results: The regulatory and policy framework for strategic purchasing in Kenya was weak and there was no clear accountability mechanism between the NHIF and the MoH. Accountability mechanisms within the NHIF have developed over time, but these emphasized financial performance over other aspects of purchasing. The processes for contracting, monitoring, and paying providers do not promote equity, quality, and efficiency. This was partly due to geographical distribution of providers, but also due to limited capacity within the NHIF. There are some mechanisms for assessing needs, preferences, and values to inform design of the benefit package, and while channels to engage beneficiaries exist, they do not always function appropriately and awareness of these channels to the beneficiaries is limited. Conclusion: Addressing the gaps in the NHIF’s purchasing performance requires a number of approaches. Critically, there is a need for the government through the MoH to embrace its stewardship role in health, while recognizing the multiplicity of actors given Kenya’s devolved context. Relatively recent decentralisation reforms present an opportunity that should be grasped to rewrite the contract between the government, the NHIF and Kenyans in the pursuit of universal health coverage (UHC). PMID:29524953
Marital Relationship Quality and Couples' Cognitive Stimulation Practices toward Their Infants: Actor and Partner Effects of White and Hispanic Parents

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…
Camus' Actor as Tom Stoppard's Player; A Key to Interpreting "Rosencrantz and Guildenstern Are Dead."

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,…
Development of oral health policy in Nigeria: an analysis of the role of context, actors and policy process.

PubMed

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-political contexts in which actors develop policy can facilitate and/or constrain actors' roles and interests as well as policy process. These must be taken into consideration at stages of policy development in order to produce policies that will strengthen the health system, especially in low and middle-income countries, where policy processes and influences can be often less than transparent.
Seeking out SARI: an automated search of electronic health records.

PubMed

O'Horo, John C; Dziadzko, Mikhail; Sakusic, Amra; Ali, Rashid; Sohail, M Rizwan; Kor, Daryl J; Gajic, Ognjen

2018-06-01

The definition of severe acute respiratory infection (SARI) - a respiratory illness with fever and cough, occurring within the past 10 days and requiring hospital admission - has not been evaluated for critically ill patients. Using integrated electronic health records data, we developed an automated search algorithm to identify SARI cases in a large cohort of critical care patients and evaluate patient outcomes. We conducted a retrospective cohort study of all admissions to a medical intensive care unit from August 2009 through March 2016. Subsets were randomly selected for deriving and validating a search algorithm, which was compared with temporal trends in laboratory-confirmed influenza to ensure that SARI was correlated with influenza. The algorithm was applied to the cohort to identify clinical differences for patients with and without SARI. For identifying SARI, the algorithm (sensitivity, 86.9%; specificity, 95.6%) outperformed billing-based searching (sensitivity, 73.8%; specificity, 78.8%). Automated searching correlated with peaks in laboratory-confirmed influenza. Adjusted for severity of illness, SARI was associated with more hospital, intensive care unit and ventilator days but not with death or dismissal to home. The search algorithm accurately identified SARI for epidemiologic study and surveillance.
A new approach of optimal control for a class of continuous-time chaotic systems by an online ADP algorithm

NASA Astrophysics Data System (ADS)

Song, Rui-Zhuo; Xiao, Wen-Dong; Wei, Qing-Lai

2014-05-01

We develop an online adaptive dynamic programming (ADP) based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the performance index function reach an optimum. The expression of the performance index function for the chaotic system is first presented. The online ADP algorithm is presented to achieve optimal control. In the ADP structure, neural networks are used to construct a critic network and an action network, which can obtain an approximate performance index function and the control input, respectively. It is proven that the critic parameter error dynamics and the closed-loop chaotic systems are uniformly ultimately bounded exponentially. Our simulation results illustrate the performance of the established optimal control method.
ACCEPT: Introduction of the Adverse Condition and Critical Event Prediction Toolbox

NASA Technical Reports Server (NTRS)

Martin, Rodney A.; Santanu, Das; Janakiraman, Vijay Manikandan; Hosein, Stefan

2015-01-01

The prediction of anomalies or adverse events is a challenging task, and there are a variety of methods which can be used to address the problem. In this paper, we introduce a generic framework developed in MATLAB (sup registered mark) called ACCEPT (Adverse Condition and Critical Event Prediction Toolbox). ACCEPT is an architectural framework designed to compare and contrast the performance of a variety of machine learning and early warning algorithms, and tests the capability of these algorithms to robustly predict the onset of adverse events in any time-series data generating systems or processes.
Stochastic series expansion simulation of the t -V model

NASA Astrophysics Data System (ADS)

Wang, Lei; Liu, Ye-Hua; Troyer, Matthias

2016-04-01

We present an algorithm for the efficient simulation of the half-filled spinless t -V model on bipartite lattices, which combines the stochastic series expansion method with determinantal quantum Monte Carlo techniques widely used in fermionic simulations. The algorithm scales linearly in the inverse temperature, cubically with the system size, and is free from the time-discretization error. We use it to map out the finite-temperature phase diagram of the spinless t -V model on the honeycomb lattice and observe a suppression of the critical temperature of the charge-density-wave phase in the vicinity of a fermionic quantum critical point.
A Practical Risk Assessment Methodology for Safety-Critical Train Control Systems

DOT National Transportation Integrated Search

2009-07-01

This project proposes a Practical Risk Assessment Methodology (PRAM) for analyzing railroad accident data and assessing the risk and benefit of safety-critical train control systems. This report documents in simple steps the algorithms and data input...
Calculating Shocks In Flows At Chemical Equilibrium

NASA Technical Reports Server (NTRS)

Eberhardt, Scott; Palmer, Grant

1988-01-01

Boundary conditions prove critical. Conference paper describes algorithm for calculation of shocks in hypersonic flows of gases at chemical equilibrium. Although algorithm represents intermediate stage in development of reliable, accurate computer code for two-dimensional flow, research leading up to it contributes to understanding of what is needed to complete task.
Why Ecologists Should Care about Financial Markets.

PubMed

Galaz, Victor; Gars, Johan; Moberg, Fredrik; Nykvist, Björn; Repinski, Cecilia

2015-10-01

Financial actors such as international banks and investors play an important role in the global economy. This role is shifting due to financial innovations, increased sustainability ambitions from large financial actors, and changes in international commodity markets. These changes are creating new global connections that potentially make financial markets, actors, and instruments important aspects of global environmental change. Despite this, the way financial markets and actors affect ecosystem change in different parts of the world has seldom been elaborated in the literature. We summarize these financial trends, explore how they connect to ecosystems and ecological change in both direct and indirect ways, and elaborate on crucial research gaps. Copyright © 2015 Elsevier Ltd. All rights reserved.

Actor-Network Theory and methodology: Just what does it mean to say that nonhumans have agency?

PubMed

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.
Dynamic Modeling, Model-Based Control, and Optimization of Solid Oxide Fuel Cells

NASA Astrophysics Data System (ADS)

Spivey, Benjamin James

2011-07-01

Solid oxide fuel cells are a promising option for distributed stationary power generation that offers efficiencies ranging from 50% in stand-alone applications to greater than 80% in cogeneration. To advance SOFC technology for widespread market penetration, the SOFC should demonstrate improved cell lifetime and load-following capability. This work seeks to improve lifetime through dynamic analysis of critical lifetime variables and advanced control algorithms that permit load-following while remaining in a safe operating zone based on stress analysis. Control algorithms typically have addressed SOFC lifetime operability objectives using unconstrained, single-input-single-output control algorithms that minimize thermal transients. Existing SOFC controls research has not considered maximum radial thermal gradients or limits on absolute temperatures in the SOFC. In particular, as stress analysis demonstrates, the minimum cell temperature is the primary thermal stress driver in tubular SOFCs. This dissertation presents a dynamic, quasi-two-dimensional model for a high-temperature tubular SOFC combined with ejector and prereformer models. The model captures dynamics of critical thermal stress drivers and is used as the physical plant for closed-loop control simulations. A constrained, MIMO model predictive control algorithm is developed and applied to control the SOFC. Closed-loop control simulation results demonstrate effective load-following, constraint satisfaction for critical lifetime variables, and disturbance rejection. Nonlinear programming is applied to find the optimal SOFC size and steady-state operating conditions to minimize total system costs.
Producing regionally-relevant multiobjective tradeoffs to engage with Colorado water managers

NASA Astrophysics Data System (ADS)

Smith, R.; Kasprzyk, J. R.; Basdekas, L.; Dilling, L.

2016-12-01

Disseminating results from water resources systems analysis research can be challenging when there are political or regulatory barriers associated with real-world models, or when a research model does not incorporate management context to which practitioners can relate. As part of a larger transdisciplinary study, we developed a broadly-applicable case study in collaboration with our partners at six diverse water utilities in the Front Range of Colorado, USA. Our model, called the "Eldorado Utility Planning Model", incorporates realistic water management decisions and objectives and achieves a pragmatic balance between system complexity and simplicity. Using the sophisticated modeling platform RiverWare, we modeled a spatially distributed regional network in which, under varying climate scenarios, the Eldorado Utility can meet growing demand from its variety of sources and by interacting with other users in the network. In accordance with complicated Front Range water laws, ownership, priority of use, and restricted uses of water are tracked through RiverWare's accounting functionality. To achieve good system performance, Eldorado can make decisions such as expand/build a reservoir, purchase rights from one or more actors, and enact conservation. This presentation introduces the model, and motivates how it can be used to aid researchers in developing multi-objective evolutionary algorithm (MOEA)-based optimization for similar multi-reservoir systems in Colorado and the Western US. Within the optimization, system performance is quantified by 5 objectives: minimizing time in restrictions; new storage capacity; newly developed supply; and uncaptured water; and maximizing year-end storage. Our results demonstrate critical tradeoffs between the objectives and show how these tradeoffs are affected by several realistic climate change scenarios. These results were used within an interactive workshop that helped demonstrate the application of MOEA-based optimization for water management in the western US.
Expectations as a key to understanding actor strategies in the field of fuel cell and hydrogen vehicles

PubMed Central

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
A social relations model of observed family negativity and positivity using a genetically informative sample.

PubMed

Rasbash, Jon; Jenkins, Jennifer; O'Connor, Thomas G; Tackett, Jennifer; Reiss, David

2011-03-01

The goal of this study was to investigate individual and relationship influences on expressions of negativity and positivity in families. Parents and adolescents were observed in a round-robin design in a sample of 687 families. Data were analyzed using a multilevel social relations model. In addition, genetic contributions were estimated for actor effects. Children showed higher mean levels of negativity and lower mean levels of positivity as actors than did parents. Mothers were found to express and elicit higher mean levels of positivity and negativity than fathers. Actor effects were much stronger than partner effects, accounting for between 18%-39% of the variance depending on the actor and the outcome. Genetic (35%) and shared environmental (19%) influences explained a substantial proportion of the actor effect variance for negativity. Dyadic reciprocities were lowest in dyads with a high power differential (i.e., parent-child dyads) and highest for dyads with equal power (sibling and marital dyads). (c) 2011 APA, all rights reserved
Expectations as a key to understanding actor strategies in the field of fuel cell and hydrogen vehicles.

PubMed

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.
Identifying Key Actors in Heterogeneous Networks

DTIC Science & Technology

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
Side Effects: An Analysis of Mind the Gap's "Boo" and the Reception of Theatre Involving Learning Disabled Actors

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…
The establishment of marine protected areas in Senegal: untangling the interactions between international institutions and national actors.

PubMed

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.
[Governance in Guatemalan municipal development councils: an analysis of actors and power relationships].

PubMed

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.
Estimation of TOA based MUSIC algorithm and cross correlation algorithm of appropriate interval

NASA Astrophysics Data System (ADS)

Lin, Wei; Liu, Jun; Zhou, Yineng; Huang, Jiyan

2017-03-01

Localization of mobile station (MS) has now gained considerable attention due to its wide applications in military, environmental, health and commercial systems. Phrase angle and encode data of MSK system model are two critical parameters in time-of-arrival (TOA) localization technique; nevertheless, precise value of phrase angle and encode data are not easy to achieved in general. In order to meet the actual situation, we should consider the condition that phase angle and encode data is unknown. In this paper, a novel TOA localization method, which combine MUSIC algorithm and cross correlation algorithm in an appropriate interval, is proposed. Simulations show that the proposed method has better performance than music algorithm and cross correlation algorithm of the whole interval.
Uncovering the most effective active ingredients of antismoking public service announcements: the role of actor and message characteristics.

PubMed

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.
Conservation success as a function of good alignment of social and ecological structures and processes.

PubMed

Bodin, Orjan; Crona, Beatrice; Thyresson, Matilda; Golz, Anna-Lea; Tengö, Maria

2014-10-01

How to create and adjust governing institutions so that they align (fit) with complex ecosystem processes and structures across scales is an issue of increasing concern in conservation. It is argued that lack of such social-ecological fit makes governance and conservation difficult, yet progress in explicitly defining and rigorously testing what constitutes a good fit has been limited. We used a novel modeling approach and data from case studies of fishery and forest conservation to empirically test presumed relationships between conservation outcomes and certain patterns of alignment of social-ecological interdependences. Our approach made it possible to analyze conservation outcome on a systems level while also providing information on how individual actors are positioned in the complex web of social-ecological interdependencies. We found that when actors who shared resources were also socially linked, conservation at the level of the whole social-ecological system was positively affected. When the scales at which individual actors used resources and the scale at which ecological resources were interconnected to other ecological resources were aligned through tightened feedback loops, conservation outcome was better than when they were not aligned. The analysis of individual actors' positions in the web of social-ecological interdependencies was helpful in understanding why a system has a certain level of social-ecological fit. Results of analysis of positions showed that different actors contributed in very different ways to achieve a certain fit and revealed some underlying difference between the actors, for example in terms of actors' varying rights to access and use different ecological resources. © 2014 Society for Conservation Biology.
Uncovering the most effective active ingredients of antismoking public service announcements: The role of actor and message characteristics

PubMed Central

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
The IHE-Bus: a practical tool to instrument and simulate IHE deployment

NASA Astrophysics Data System (ADS)

Shani, Uri; Carmeli, Boaz; Kol, Tomer; Ram, Roni; Shabo, Amnon

2005-04-01

The IHE (Integrating the Healthcare Enterprise) initiative provides essential guidelines for the deployment of a digital health information management environment. IHE, while not inventing new standards, creates a system-level and component-level design, based on the products of the leading standards, HL7, DICOM, and more. As such, IHE can be viewed as the "Standard of Standards". The most significant value of IHE is that vendors can work on specific components of the enterprise solution, playing one or more of the IHE actor roles. IHE defines, for each actor, its external interface to the other actors in the system. Yet, the integrator of an entire IHE solution may find this job extremely difficult. The larger the number of vendors involved in the solution, the tougher the job. The complexity of coordinating all the components to work as one coherent solution multiplies and may become intractable. IHE defines very well "what" should be done, but not "how." IHE-Bus offers a practical solution for the "how" question, with many advantages. This solution is borrowed from the business integration sphere. IHE becomes a platform, and each actor can be "plugged" into it in a simple step. New actors are independent of other actors already in the system. Missing actors can be simulated (by a "stub") until replaced with the real product in the future. Moreover, the entire IHE network is managed as a single coherent system with powerful tools encapsulating the enormous amount of knowledge and expertise deemed necessary to uphold this job.
Actor-Network Theory and its role in understanding the implementation of information technology developments in healthcare.

PubMed

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.
Do we act upon what we see? Direct effects of alcohol cues in movies on young adults' alcohol drinking.

PubMed

Koordeman, Renske; Kuntsche, Emmanuel; Anschutz, Doeschka J; van Baaren, Rick B; Engels, Rutger C M E

2011-01-01

Ample survey research has shown that alcohol portrayals in movies affect the development of alcohol consumption in youth. Hence, there is preliminary evidence that alcohol portrayals in movies also directly influence viewers' drinking of alcohol while watching movies. One process that might account for these direct effects is imitation. The present study therefore examined whether young people imitate actors sipping alcohol on screen. We observed sipping behaviours of 79 young adults (ages 18-25) watching a 60-min movie clip, 'What Happens in Vegas', in a semi-naturalistic home setting. Each of the 79 participants was exposed to 25 alcohol cues. Two-level logistic regression analyses were used to analyse whether participants in general imitated actors' sipping during this clip. In addition, we applied proportional hazard models in a survival analysis framework (Cox regression) to test whether there was a difference in imitation of the cues between male and female participants, and to test whether the timing of the actors' sipping throughout the movie played a role. The findings showed that participants were more likely to sip in accordance with the actors' sipping than without such a cue. Further, we found that men were more likely to imitate actors' sipping than females and that participants tended to respond to actors' sipping at the beginning of the movie rather than at the end. Exposure to actors sipping alcohol in a movie seems to have an immediate impact on the drinking behaviour of viewers, via the mechanism of imitation.
[The prevention of voice disorders in the actor: protocol and follow-up nine months of professional theater].

PubMed

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.
Informal value chain actors' knowledge and perceptions about zoonotic diseases and biosecurity in Kenya and the importance for food safety and public health.

PubMed

Nyokabi, Simon; Birner, Regina; Bett, Bernard; Isuyi, Linda; Grace, Delia; Güttler, Denise; Lindahl, Johanna

2018-03-01

Zoonotic diseases, transmitted from animals to humans, are a public health challenge in developing countries. Livestock value chain actors have an important role to play as the first line of defence in safeguarding public health. However, although the livelihood and economic impacts of zoonoses are widely known, adoption of biosecurity measures aimed at preventing zoonoses is low, particularly among actors in informal livestock value chains in low and middle-income countries. The main objective of this study was to investigate knowledge of zoonoses and adoption of biosecurity measures by livestock and milk value chain actors in Bura, Tana River County, in Kenya, where cattle, camels, sheep and goats are the main livestock kept. The study utilised a mixed methods approach, with a questionnaire survey administered to 154 value chain actors. Additional information was elicited through key informant interviews and participatory methods with relevant stakeholders outside the value chain. Our results found low levels of knowledge of zoonoses and low levels of adherence to food safety standards, with only 37% of milk traders knowing about brucellosis, in spite of a sero-prevalence of 9% in the small ruminants tested in this study, and no slaughterhouse worker knew about Q fever. Actors had little formal education (between 0 and 10%) and lacked training in food safety and biosecurity measures. Adoption of biosecurity measures by value chain actors was very low or non-existent, with only 11% of butchers wearing gloves. There was a gendered dimension, evidenced by markedly different participation in value chains and lower adoption rates and knowledge levels among female actors. Finally, cultural and religious practices were shown to play an important role in exposure and transmission of diseases, influencing perceptions and attitudes to risks and adoption of biosecurity measures.
Capacity building for global health diplomacy: Thailand’s experience of trade and health

PubMed Central

Thaiprayoon, Suriwan; Smith, Richard

2015-01-01

A rapid expansion of trade liberalization in Thailand during the 1990s raised a critical question for policy transparency from various stakeholders. Particular attention was paid to a bilateral trade negotiation between Thailand and USA concerned with the impact of the ‘Trade-Related Aspects of Intellectual Rights (TRIPS) plus’ provisions on access to medicines. Other trade liberalization effects on health were also concerning health actors. In response, a number of interagency committees were established to engage with trade negotiations. In this respect, Thailand is often cited as a positive example of a country that has proactively sought, and achieved, trade and health policy coherence. This article investigates this relationship in more depth and suggests lessons for wider study and application of global health diplomacy (GHD). This study involved semi-structured interviews with 20 people involved in trade-related health negotiations, together with observation of 9 meetings concerning trade-related health issues. Capacity to engage with trade negotiations appears to have been developed by health actors through several stages; starting from the Individual (I) understanding of trade effects on health, through Nodes (N) that establish the mechanisms to enhance health interests, Networks (N) to advocate for health within these negotiations, and an Enabling environment (E) to retain health officials and further strengthen their capacities to deal with trade-related health issues. This INNE model seems to have worked well in Thailand. However, other contextual factors are also significant. This article suggests that, in building capacity in GHD, it is essential to educate both health and non-health actors on global health issues and to use a combination of formal and informal mechanisms to participate in GHD. And in developing sustainable capacity in GHD, it requires long term commitment and strong leadership from both health and non-health sectors. PMID:25339636

Capacity building for global health diplomacy: Thailand's experience of trade and health.

PubMed

Thaiprayoon, Suriwan; Smith, Richard

2015-11-01

A rapid expansion of trade liberalization in Thailand during the 1990s raised a critical question for policy transparency from various stakeholders. Particular attention was paid to a bilateral trade negotiation between Thailand and USA concerned with the impact of the 'Trade-Related Aspects of Intellectual Rights (TRIPS) plus' provisions on access to medicines. Other trade liberalization effects on health were also concerning health actors. In response, a number of interagency committees were established to engage with trade negotiations. In this respect, Thailand is often cited as a positive example of a country that has proactively sought, and achieved, trade and health policy coherence. This article investigates this relationship in more depth and suggests lessons for wider study and application of global health diplomacy (GHD). This study involved semi-structured interviews with 20 people involved in trade-related health negotiations, together with observation of 9 meetings concerning trade-related health issues. Capacity to engage with trade negotiations appears to have been developed by health actors through several stages; starting from the Individual (I) understanding of trade effects on health, through Nodes (N) that establish the mechanisms to enhance health interests, Networks (N) to advocate for health within these negotiations, and an Enabling environment (E) to retain health officials and further strengthen their capacities to deal with trade-related health issues. This INNE model seems to have worked well in Thailand. However, other contextual factors are also significant. This article suggests that, in building capacity in GHD, it is essential to educate both health and non-health actors on global health issues and to use a combination of formal and informal mechanisms to participate in GHD. And in developing sustainable capacity in GHD, it requires long term commitment and strong leadership from both health and non-health sectors. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved.
"Five hundred years of medicine gone to waste"? Negotiating the implementation of an intercultural health policy in the Ecuadorian Andes.

PubMed

Llamas, Ana; Mayhew, Susannah

2018-06-04

In Ecuador, indigenous women have poorer maternal health outcomes and access to maternity services. This is partly due to cultural barriers. A hospital in Ecuador implemented the Vertical Birth (VB) policy to address such inequities by adapting services to the local culture. This included conducting upright deliveries, introducing Traditional Birth Attendants (TBAs) and making physical adaptations to hospital facilities. Using qualitative methods, we studied the VB policy implementation in an Ecuadorian hospital to analyse the factors that affect effective implementation of intercultural health policies at the local level. We collected data through observation, in-depth interviews, a focus group discussion, and documentation review. We conducted 46 interviews with healthcare workers, managers, TBAs, key informants and policy-makers involved in maternal health. Data analysis was guided by grounded theory and drew heavily on concepts of "street-level bureaucracy" to interpret policy implementation. The VB policy was highly controversial; actors' values (including concerns over patient safety) motivated their support or opposition to the Vertical Birth policy. For those who supported the policy, managers, policy-makers, indigenous actors and a minority of healthcare workers supported the policy, it was critical to address ethnic discrimination to improve indigenous women's access to the health service. Most healthcare workers initially resisted the policy because they believed vertical births led to poorer clinical outcomes and because they resented working alongside TBAs. Healthcare workers developed coping strategies and effectively modified the policy. Managers accepted these as a compromise to enable implementation. Although contentious, intercultural health policies such as the VB policy have the potential to improve maternity services and access for indigenous women. Evidence-base medicine should be used as a lever to facilitate the dialogue between healthcare workers and TBAs and to promote best practice and patient safety. Actors' values influenced policy implementation; policy implementation resulted from an ongoing negotiation between healthcare workers and managers.
Exploring the nature of governance at the level of implementation for health system strengthening: the DIALHS experience.

PubMed

Scott, Vera; Schaay, Nikki; Olckers, Patti; Nqana, Nomsa; Lehmann, Uta; Gilson, Lucy

2014-09-01

Health system governance has been recognized as a critical element of the health system strengthening agenda. To date, health governance research often focuses at national or global levels, adopting a macro-perspective that deals with governance structures, forms and principles. Little attention has been given to a micro-perspective which recognizes the role of health system actors in governance, or to considering the operational level of the health system. This article presents a South African case study of an intervention to address conflict in roles and responsibilities between multiple actors supporting service delivery at the local level, and explores the broader insights this experience generates about the nature of local health system governance. In an embedded case study, action learning and reflection theory were used to design and implement the intervention. Data in this article were drawn from minutes, observations and recorded reflections of the meetings and workshops that comprised the intervention. A theoretical governance framework was used both to understand the context of the intervention and to analyse the dimensions of governance relevant in the experience. The study shows how, through action learning and reflection, local managers in two organizations came to understand how the higher level misalignment of organizational structures and processes imposed governance constraints on them, and to see the impact this had on their organizational relationships. By re-framing the conflict as organizational, they were then able to create opportunities for staff to understand their context and participate in negotiating principles for communication and collaborative work. The result reduced conflict between staff in the two organizations, leading to improved implementation of programme support. Strengthening relationships among those working at local level by building collaborative norms and values is an important part of local health system governance for improved service delivery by multiple actors. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved.
Exploring the nature of governance at the level of implementation for health system strengthening: the DIALHS experience

PubMed Central

Scott, Vera; Schaay, Nikki; Olckers, Patti; Nqana, Nomsa; Lehmann, Uta; Gilson, Lucy

2014-01-01

Health system governance has been recognized as a critical element of the health system strengthening agenda. To date, health governance research often focuses at national or global levels, adopting a macro-perspective that deals with governance structures, forms and principles. Little attention has been given to a micro-perspective which recognizes the role of health system actors in governance, or to considering the operational level of the health system. This article presents a South African case study of an intervention to address conflict in roles and responsibilities between multiple actors supporting service delivery at the local level, and explores the broader insights this experience generates about the nature of local health system governance. In an embedded case study, action learning and reflection theory were used to design and implement the intervention. Data in this article were drawn from minutes, observations and recorded reflections of the meetings and workshops that comprised the intervention. A theoretical governance framework was used both to understand the context of the intervention and to analyse the dimensions of governance relevant in the experience. The study shows how, through action learning and reflection, local managers in two organizations came to understand how the higher level misalignment of organizational structures and processes imposed governance constraints on them, and to see the impact this had on their organizational relationships. By re-framing the conflict as organizational, they were then able to create opportunities for staff to understand their context and participate in negotiating principles for communication and collaborative work. The result reduced conflict between staff in the two organizations, leading to improved implementation of programme support. Strengthening relationships among those working at local level by building collaborative norms and values is an important part of local health system governance for improved service delivery by multiple actors. PMID:25274641
ACToR A Aggregated Computational Toxicology Resource ...

EPA Pesticide Factsheets

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.
ACToR A Aggregated Computational Toxicology Resource (S) ...

EPA Pesticide Factsheets

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.
Dataflow-Based Implementation of Layered Sensing Applications on High-Performance Embedded Processors

DTIC Science & Technology

2013-03-01

time (milliseconds) GFlops Comparison to GPU peak performance (%) Cascade Gaussian Filtering 13 45.19 6.3 Difference of Gaussian 0.512 152...values for the GPU-targeted actor implementations in terms of Giga Floating Point Operations Per Second ( GFLOPS ). Our GFLOPS calculation for an actor...kernels. The results for GFLOPS are provided in Table . The actors were implemented on an NVIDIA GTX260 GPU, which provides 715 GFLOPS as peak
Report to Congress on Arctic Operations and the Northwest Passage

DTIC Science & Technology

2011-05-19

interests in the region. Intergovernmental and non -state actors, including the media, and State actors external to the region will seek to play...developing, and implementing Arctic policy on a range of issues. Non -state actors such as oil, gas, shipping, and tourism companies; indigenous...assessment looks at the near- (2010-2020), mid- (2020-2030), and far-term (beyond 2030), and factors in non -material capabilities, such as having a cadre
Adaptively resizing populations: Algorithm, analysis, and first results

NASA Technical Reports Server (NTRS)

Smith, Robert E.; Smuda, Ellen

1993-01-01

Deciding on an appropriate population size for a given Genetic Algorithm (GA) application can often be critical to the algorithm's success. Too small, and the GA can fall victim to sampling error, affecting the efficacy of its search. Too large, and the GA wastes computational resources. Although advice exists for sizing GA populations, much of this advice involves theoretical aspects that are not accessible to the novice user. An algorithm for adaptively resizing GA populations is suggested. This algorithm is based on recent theoretical developments that relate population size to schema fitness variance. The suggested algorithm is developed theoretically, and simulated with expected value equations. The algorithm is then tested on a problem where population sizing can mislead the GA. The work presented suggests that the population sizing algorithm may be a viable way to eliminate the population sizing decision from the application of GA's.
TSaT-MUSIC: a novel algorithm for rapid and accurate ultrasonic 3D localization

NASA Astrophysics Data System (ADS)

Mizutani, Kyohei; Ito, Toshio; Sugimoto, Masanori; Hashizume, Hiromichi

2011-12-01

We describe a fast and accurate indoor localization technique using the multiple signal classification (MUSIC) algorithm. The MUSIC algorithm is known as a high-resolution method for estimating directions of arrival (DOAs) or propagation delays. A critical problem in using the MUSIC algorithm for localization is its computational complexity. Therefore, we devised a novel algorithm called Time Space additional Temporal-MUSIC, which can rapidly and simultaneously identify DOAs and delays of mul-ticarrier ultrasonic waves from transmitters. Computer simulations have proved that the computation time of the proposed algorithm is almost constant in spite of increasing numbers of incoming waves and is faster than that of existing methods based on the MUSIC algorithm. The robustness of the proposed algorithm is discussed through simulations. Experiments in real environments showed that the standard deviation of position estimations in 3D space is less than 10 mm, which is satisfactory for indoor localization.
Resolution of Singularities Introduced by Hierarchical Structure in Deep Neural Networks.

PubMed

Nitta, Tohru

2017-10-01

We present a theoretical analysis of singular points of artificial deep neural networks, resulting in providing deep neural network models having no critical points introduced by a hierarchical structure. It is considered that such deep neural network models have good nature for gradient-based optimization. First, we show that there exist a large number of critical points introduced by a hierarchical structure in deep neural networks as straight lines, depending on the number of hidden layers and the number of hidden neurons. Second, we derive a sufficient condition for deep neural networks having no critical points introduced by a hierarchical structure, which can be applied to general deep neural networks. It is also shown that the existence of critical points introduced by a hierarchical structure is determined by the rank and the regularity of weight matrices for a specific class of deep neural networks. Finally, two kinds of implementation methods of the sufficient conditions to have no critical points are provided. One is a learning algorithm that can avoid critical points introduced by the hierarchical structure during learning (called avoidant learning algorithm). The other is a neural network that does not have some critical points introduced by the hierarchical structure as an inherent property (called avoidant neural network).
Waterworks, a full-scale chemical exposure exercise: interrogating pediatric critical care surge capacity in an inner-city tertiary care medical center.

PubMed

Shah, Vikas S; Pierce, Lauren C; Roblin, Patricia; Walker, Sarah; Sergio, Marte N; Arquilla, Bonnie

2014-02-01

Pediatric Intensive Care Unit (PICU) resources are overwhelmed in disaster as the need to accommodate influx of critically-ill children is increased. A full-scale chlorine overexposure exercise was conducted by the New York Institute for All Hazard Preparedness (NYIAHP) to assess the appropriateness of response of Kings County Hospital Center's (KCHC's) PICU surge plan to an influx of critically-ill children. The primary endpoint that was assessed was the ability of the institution to follow the PICU surge plan, while secondary endpoints include the ability to provide appropriate medical management. Thirty-six actors/patients (medical students or emergency medicine residents) were educated on presentations and appropriate medical management of patients after a chlorine overexposure, as well as lectures on drill design and expected PICU surge response. Victims presented to the hospital after simulated accidental chlorine overexposure at a public pool. Twenty-two patients with 14 family members needed evaluation; nine of these patients would require PICU admission. Three of nine PICU patients were low-fidelity mannequins. In addition to the 36 actor/patient evaluators, each area had two to four expert evaluators (disaster preparedness experts) to assess appropriateness of global response. Patients were expected to receive standard of care. Appropriateness of medical decisions and treatment was assessed retrospectively with review of electronic medical record. The initial PICU census was three of seven; two of these patients were transferred to the general ward. Of the nine patients that required Intensive Care Unit (ICU) admission, six actor/patients were admitted to the PICU, one was admitted to the Surgical Intensive Care Unit (SICU), one went to the Operating Room (OR), and one was admitted to a monitored-surge general pediatric bed. The remaining 13 actor/patients were treated and released. Medical, nursing, and respiratory staffing in the PICU and the general ward were increased by two main mechanisms (extension of work hours and in-house recruitment of additional staff). Emergency Department (ED) staffing was artificially increased prior to the drill. With the exception of ocular fluid pH testing in patients with ocular pruritus, all necessary treatments were given; however, an unneeded albuterol treatment was administered to one patient. Chart review showed adequate discharge instructions in four of 13 patients. Nine patients without respiratory complaints in the ED were not instructed to observe for dyspnea. All patients were in the PICU or alternate locations within 90 minutes. Discussion The staff was well versed in the major details of KCHC's PICU surge plan, which allowed smooth transition of patient care from the ED to the PICU. The plan provided for a roadmap to achieve adequate medical, nursing, and respiratory therapists. Medical therapy was appropriate in the PICU; however, in the ED, patients with ocular complaints did not receive optimal care. In addition, written discharge instruction and educational material regarding chlorine overexposure to all patients were not consistently provided. The PICU surge plan was immediately accessible through the KCHC intranet; however, not all participants were cognizant of this fact; this decreased the efficiency with which the roadmap was followed. An exaggerated ED staff facilitated evaluation and transfer of patients. During disasters, the ability to surge is paramount and each hospital addresses it differently. Hospitals and departments have written surge plans, but there is no literature available which assesses the validity of said plans through a rigorous, structured, simulated disaster drill. This study is the first to assess validity and effectiveness of a hospital's PICU surge plan. Overall, the KCHC PICU surge plan was effective; however, several deficiencies (mainly in communication and patient education in the ED) were identified, and this will improve future response.
Implementing a GPU-based numerical algorithm for modelling dynamics of a high-speed train

NASA Astrophysics Data System (ADS)

Sytov, E. S.; Bratus, A. S.; Yurchenko, D.

2018-04-01

This paper discusses the initiative of implementing a GPU-based numerical algorithm for studying various phenomena associated with dynamics of a high-speed railway transport. The proposed numerical algorithm for calculating a critical speed of the bogie is based on the first Lyapunov number. Numerical algorithm is validated by analytical results, derived for a simple model. A dynamic model of a carriage connected to a new dual-wheelset flexible bogie is studied for linear and dry friction damping. Numerical results obtained by CPU, MPU and GPU approaches are compared and appropriateness of these methods is discussed.
Research of improved banker algorithm

NASA Astrophysics Data System (ADS)

Yuan, Xingde; Xu, Hong; Qiao, Shijiao

2013-03-01

In the multi-process operating system, resource management strategy of system is a critical global issue, especially when many processes implicating for the limited resources, since unreasonable scheduling will cause dead lock. The most classical solution for dead lock question is the banker algorithm; however, it has its own deficiency and only can avoid dead lock occurring in a certain extent. This article aims at reducing unnecessary safety checking, and then uses the new allocation strategy to improve the banker algorithm. Through full analysis and example verification of the new allocation strategy, the results show the improved banker algorithm obtains substantial increase in performance.
Design of a Performance-Responsive Drill and Practice Algorithm for Computer-Based Training.

ERIC Educational Resources Information Center

Vazquez-Abad, Jesus; LaFleur, Marc

1990-01-01

Reviews criticisms of the use of drill and practice programs in educational computing and describes potentials for its use in instruction. Topics discussed include guidelines for developing computer-based drill and practice; scripted training courseware; item format design; item bank design; and a performance-responsive algorithm for item…
An Alternative Retrieval Algorithm for the Ozone Mapping and Profiler Suite Limb Profiler

DTIC Science & Technology

2012-05-01

behavior of aerosol extinction from the upper troposphere through the stratosphere is critical for retrieving ozone in this region. Aerosol scattering is......include area code) b. ABSTRACT c. THIS PAGE 18. NUMBER OF PAGES 17. LIMITATION OF ABSTRACT An Alternative Retrieval Algorithm for the Ozone Mapping and
An Optimal Algorithm towards Successive Location Privacy in Sensor Networks with Dynamic Programming

NASA Astrophysics Data System (ADS)

Zhao, Baokang; Wang, Dan; Shao, Zili; Cao, Jiannong; Chan, Keith C. C.; Su, Jinshu

In wireless sensor networks, preserving location privacy under successive inference attacks is extremely critical. Although this problem is NP-complete in general cases, we propose a dynamic programming based algorithm and prove it is optimal in special cases where the correlation only exists between p immediate adjacent observations.
SCREEN: A simple layperson administered screening algorithm in low resource international settings significantly reduces waiting time for critically ill children in primary healthcare clinics.

PubMed

Hansoti, Bhakti; Jenson, Alexander; Kironji, Antony G; Katz, Joanne; Levin, Scott; Rothman, Richard; Kelen, Gabor D; Wallis, Lee A

2017-01-01

In low resource settings, an inadequate number of trained healthcare workers and high volumes of children presenting to Primary Healthcare Centers (PHC) result in prolonged waiting times and significant delays in identifying and evaluating critically ill children. The Sick Children Require Emergency Evaluation Now (SCREEN) program, a simple six-question screening algorithm administered by lay healthcare workers, was developed in 2014 to rapidly identify critically ill children and to expedite their care at the point of entry into a clinic. We sought to determine the impact of SCREEN on waiting times for critically ill children post real world implementation in Cape Town, South Africa. This is a prospective, observational implementation-effectiveness hybrid study that sought to determine: (1) the impact of SCREEN implementation on waiting times as a primary outcome measure, and (2) the effectiveness of the SCREEN tool in accurately identifying critically ill children when utilised by the QM and adherence by the QM to the SCREEN algorithm as secondary outcome measures. The study was conducted in two phases, Phase I control (pre-SCREEN implementation- three months in 2014) and Phase II (post-SCREEN implementation-two distinct three month periods in 2016). In Phase I, 1600 (92.38%) of 1732 children presenting to 4 clinics, had sufficient data for analysis and comprised the control sample. In Phase II, all 3383 of the children presenting to the 26 clinics during the sampling time frame had sufficient data for analysis. The proportion of critically ill children who saw a professional nurse within 10 minutes increased tenfold from 6.4% to 64% (Phase I to Phase II) with the median time to seeing a professional nurse reduced from 100.3 minutes to 4.9 minutes, (p < .001, respectively). Overall layperson screening compared to Integrated Management of Childhood Illnesses (IMCI) designation by a nurse had a sensitivity of 94.2% and a specificity of 88.1%, despite large variance in adherence to the SCREEN algorithm across clinics. The SCREEN program when implemented in a real-world setting can significantly reduce waiting times for critically ill children in PHCs, however further work is required to improve the implementation of this innovative program.
Towards Prognostics of Electrolytic Capacitors

NASA Technical Reports Server (NTRS)

Celaya, Jose R.; Kulkarni, Chetan; Biswas, Gautam; Goegel, Kai

2011-01-01

A remaining useful life prediction algorithm and degradation model for electrolytic capacitors is presented. Electrolytic capacitors are used in several applications ranging from power supplies on critical avionics equipment to power drivers for electro-mechanical actuators. These devices are known for their low reliability and given their criticality in electronics subsystems they are a good candidate for component level prognostics and health management research. Prognostics provides a way to assess remaining useful life of a capacitor based on its current state of health and its anticipated future usage and operational conditions. In particular, experimental results of an accelerated aging test under electrical stresses are presented. The capacitors used in this test form the basis for a remaining life prediction algorithm where a model of the degradation process is suggested. This preliminary remaining life prediction algorithm serves as a demonstration of how prognostics methodologies could be used for electrolytic capacitors.
Probabilistic DHP adaptive critic for nonlinear stochastic control systems.

PubMed

Herzallah, Randa

2013-06-01

Following the recently developed algorithms for fully probabilistic control design for general dynamic stochastic systems (Herzallah & Káarnáy, 2011; Kárný, 1996), this paper presents the solution to the probabilistic dual heuristic programming (DHP) adaptive critic method (Herzallah & Káarnáy, 2011) and randomized control algorithm for stochastic nonlinear dynamical systems. The purpose of the randomized control input design is to make the joint probability density function of the closed loop system as close as possible to a predetermined ideal joint probability density function. This paper completes the previous work (Herzallah & Káarnáy, 2011; Kárný, 1996) by formulating and solving the fully probabilistic control design problem on the more general case of nonlinear stochastic discrete time systems. A simulated example is used to demonstrate the use of the algorithm and encouraging results have been obtained. Copyright © 2013 Elsevier Ltd. All rights reserved.

Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games.

PubMed

Song, Ruizhuo; Lewis, Frank L; Wei, Qinglai

2017-03-01

This paper establishes an off-policy integral reinforcement learning (IRL) method to solve nonlinear continuous-time (CT) nonzero-sum (NZS) games with unknown system dynamics. The IRL algorithm is presented to obtain the iterative control and off-policy learning is used to allow the dynamics to be completely unknown. Off-policy IRL is designed to do policy evaluation and policy improvement in the policy iteration algorithm. Critic and action networks are used to obtain the performance index and control for each player. The gradient descent algorithm makes the update of critic and action weights simultaneously. The convergence analysis of the weights is given. The asymptotic stability of the closed-loop system and the existence of Nash equilibrium are proved. The simulation study demonstrates the effectiveness of the developed method for nonlinear CT NZS games with unknown system dynamics.
Complex mediascapes, complex realities: critically engaging with biotechnology debates in Ghana.

PubMed

Rock, Joeva

2018-01-01

The recent increase in research and commercialization of genetically modified (GM) crops in Africa has resulted in considerable and understandable interest from farmers, scholars, and practitioners. However, messy situations are often hard to critically engage in from afar, and the recent article published by Braimah et al. [(2017). Debated agronomy: Public discourse and the future of biotechnology policy in Ghana. Global Bioethics . doi:10.1080/11287462.2016.1261604] presents certain claims that further obfuscate - rather than clarify - an already complex landscape. In this commentary I first seek to clarify particular details of the Ghanaian "GMO" (as GM crops are colloquially called in Ghana) story with particular focus on certain actors and their stances. Next, I highlight some methodological shortcomings of Debated Agronomy and correct certain dubious quotations and claims. Finally, I suggest a more ethnographically and discourse-focused methodology to gain much needed insight into how Ghanaians are actively molding, contesting, and questioning GM discourse, funding, and use.
If You See Something, Say Something…More

NASA Astrophysics Data System (ADS)

Mann, M. E.; Peacock, K.

2015-12-01

Scientists have a collective ethical obligation to communicate the implications of their science and to communicate it as accurately and fully as possible. Nowhere is that obligation more profound than in areas of research, like climate change, where the stakes are so great, and where societal decision-making demands the most accurate assessments of risk. If scientists remain on the sidelines, they insure that others with an axe to grind will fill the void, game the process of risk assessment, and insure sub-optimal policy decision-making. But simple participation is not adequate either. Scientists, when they communicate climate change risk, must resist the temptation to downplay high-risk and high-cost scenarios in an effort simply to avoid criticism by contrarians. Otherwise, the net affect is the same, with bad faith actors achieving their goal of minimizing the emphasis placed on mitigation efforts in the policymaking process. We will discuss some examples including the critically important case of ice sheet collapse and sea level rise.
Complex mediascapes, complex realities: critically engaging with biotechnology debates in Ghana

PubMed Central

2018-01-01

ABSTRACT The recent increase in research and commercialization of genetically modified (GM) crops in Africa has resulted in considerable and understandable interest from farmers, scholars, and practitioners. However, messy situations are often hard to critically engage in from afar, and the recent article published by Braimah et al. [(2017). Debated agronomy: Public discourse and the future of biotechnology policy in Ghana. Global Bioethics. doi:10.1080/11287462.2016.1261604] presents certain claims that further obfuscate – rather than clarify – an already complex landscape. In this commentary I first seek to clarify particular details of the Ghanaian “GMO” (as GM crops are colloquially called in Ghana) story with particular focus on certain actors and their stances. Next, I highlight some methodological shortcomings of Debated Agronomy and correct certain dubious quotations and claims. Finally, I suggest a more ethnographically and discourse-focused methodology to gain much needed insight into how Ghanaians are actively molding, contesting, and questioning GM discourse, funding, and use. PMID:29887770
Ethical and legal framework and regulation for off-label use: European perspective.

PubMed

Lenk, Christian; Duttge, Gunnar

2014-01-01

For more than 20 years the off-label use of drugs has been an essential part of the ethical and legal considerations regarding the international regulation of drug licensing. Despite a number of regulatory initiatives in the European Union, there seems to remain a largely unsatisfactory situation following a number of critical descriptions and statements from actors in the field. The present article gives an overview of the ethical and legal framework and developments in European countries and identifies existing problems and possible pathways for solutions in this important regulatory area. In addition to the presentation of the ethical and legal foundations, some attention is given to criticisms from medical practitioners to the current handling of off-label drug use. The review also focuses on the situation confronted by patients and physicians when off-label prescriptions are necessary. Through legal descriptions from a number of countries, possible solutions for future discussion of European health care policy are selected and explained.
Framework for robot skill learning using reinforcement learning

NASA Astrophysics Data System (ADS)

Wei, Yingzi; Zhao, Mingyang

2003-09-01

Robot acquiring skill is a process similar to human skill learning. Reinforcement learning (RL) is an on-line actor critic method for a robot to develop its skill. The reinforcement function has become the critical component for its effect of evaluating the action and guiding the learning process. We present an augmented reward function that provides a new way for RL controller to incorporate prior knowledge and experience into the RL controller. Also, the difference form of augmented reward function is considered carefully. The additional reward beyond conventional reward will provide more heuristic information for RL. In this paper, we present a strategy for the task of complex skill learning. Automatic robot shaping policy is to dissolve the complex skill into a hierarchical learning process. The new form of value function is introduced to attain smooth motion switching swiftly. We present a formal, but practical, framework for robot skill learning and also illustrate with an example the utility of method for learning skilled robot control on line.
What do we mean by Human-Centered Design of Life-Critical Systems?

PubMed

Boy, Guy A

2012-01-01

Human-centered design is not a new approach to design. Aerospace is a good example of a life-critical systems domain where participatory design was fully integrated, involving experimental test pilots and design engineers as well as many other actors of the aerospace engineering community. This paper provides six topics that are currently part of the requirements of the Ph.D. Program in Human-Centered Design of the Florida Institute of Technology (FIT.) This Human-Centered Design program offers principles, methods and tools that support human-centered sustainable products such as mission or process control environments, cockpits and hospital operating rooms. It supports education and training of design thinkers who are natural leaders, and understand complex relationships among technology, organizations and people. We all need to understand what we want to do with technology, how we should organize ourselves to a better life and finally find out whom we are and have become. Human-centered design is being developed for all these reasons and issues.
Qualitative analysis of the risks and practices associated with the spread of African swine fever within the smallholder pig value chains in Uganda.

PubMed

Dione, Michel; Ouma, Emily; Opio, Felix; Kawuma, Brian; Pezo, Danilo

2016-12-01

A study was undertaken between September 2014 and December 2014 to assess the perceptions of smallholder pig value chain actors of the risks and practices associated with the spread of African swine fever (ASF) disease within the pig value chains. Data was collected from 136 value chain actors and 36 key informants through 17 group discussions and two key informant interview (KII) sessions respectively using Participatory Rural Appraisal (PRA) tools. Results from this study revealed that according to value chain actors and stakeholders, the transporting, slaughtering, and collecting/bulking nodes represent the highest risk, followed by the inputs and services (feeds and drugs) supply nodes. The processing, whole sale and consumption nodes represented the lowest risk. Value chain actors are aware of the disease and its consequences to the pig industry, however biosecurity measures are poorly implemented at all nodes. As for the causes, value chain actors pointed to several factors, such as inadequate knowledge of mechanisms for the spread of the disease, poor enforcement of regulations on disease control, and low capacities of actors to implement biosecurity measures, amongst others. Although traders, butchers and veterinary practitioners accepted that they played an important role in the spread of the virus, they did not perceive themselves as key actors in the control of the disease; instead, they believed that only farmers should adopt biosecurity measures on their farms because they keep the pigs for a longer period. Most of the recommendations given by the value chain actors for controlling and preventing ASF disease were short term, and targeted mainly pig producers. These recommendations included: the establishment of live pig collection centres so that traders and brokers do not have to directly access pig farms, capacity building of value chain actors on application of biosecurity, enactment and enforcement of by-laws on live pig movements and establishment of operational outbreak reporting mechanism at district level. Long term recommendations included the development of a vaccine, as well as pen-side diagnostic tests. This study suggests that interventions to control ASF disease through application of biosecurity measures should target all value chain nodes, while putting more emphasis on post-farm nodes especially the trading. Copyright © 2016 Elsevier B.V. All rights reserved.
Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.

PubMed

Prevedello, Luciano M; Erdal, Barbaros S; Ryu, John L; Little, Kevin J; Demirer, Mutlu; Qian, Songyue; White, Richard D

2017-12-01

Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations and to determine algorithm performance for detection of suspected acute infarct (SAI). Materials and Methods This HIPAA-compliant retrospective study was completed after institutional review board approval. A training and validation dataset of noncontrast-enhanced head CT examinations that comprised 100 examinations of HMH, 22 of SAI, and 124 of noncritical findings was obtained resulting in 2583 representative images. Examinations were processed by using a convolutional neural network (deep learning) using two different window and level configurations (brain window and stroke window). AI algorithm performance was tested on a separate dataset containing 50 examinations with HMH findings, 15 with SAI findings, and 35 with noncritical findings. Results Final algorithm performance for HMH showed 90% (45 of 50) sensitivity (95% confidence interval [CI]: 78%, 97%) and 85% (68 of 80) specificity (95% CI: 76%, 92%), with area under the receiver operating characteristic curve (AUC) of 0.91 with the brain window. For SAI, the best performance was achieved with the stroke window showing 62% (13 of 21) sensitivity (95% CI: 38%, 82%) and 96% (27 of 28) specificity (95% CI: 82%, 100%), with AUC of 0.81. Conclusion AI using deep learning demonstrates promise for detecting critical findings at noncontrast-enhanced head CT. A dedicated algorithm was required to detect SAI. Detection of SAI showed lower sensitivity in comparison to detection of HMH, but showed reasonable performance. Findings support further investigation of the algorithm in a controlled and prospective clinical setting to determine whether it can independently screen noncontrast-enhanced head CT examinations and notify the interpreting radiologist of critical findings. © RSNA, 2017 Online supplemental material is available for this article.
Animacy-based predictions in language comprehension are robust: contextual cues modulate but do not nullify them.

PubMed

Muralikrishnan, R; Schlesewsky, Matthias; Bornkessel-Schlesewsky, Ina

2015-05-22

Couldn׳t a humble coconut hurt a gardener? At least in the first instance, the brain seems to assume that it should not: we perceive inanimate entities such as coconuts as poor event instigators ("Actors"). Ideally, entities causing a change in another entity should be animate and this assumption not only influences event perception but also carries over to language comprehension. We present three auditory event-related brain potential (ERP) studies on the processing of inanimate and animate subjects and objects in simple transitive sentences in Tamil. ERP responses were measured at the second argument (event participant) in all three studies. Experiment 1 employed all possible animacy combinations of Actors and Undergoers (affected participants) in Actor- and Undergoer-initial verb-final orders. Experiments 2 and 3 employed a fairly novel context design that enabled us to compare ERPs evoked by identical auditory material to differing contextual expectations: Experiment 2 focussed on constructions in which an inanimate Actor acts upon an inanimate Undergoer, whereas Experiment 3 examined whether and how a preceding context modulates the prediction for an ideal Actor. Results showed an N400 effect when the prediction for an ideal (animate) Actor following an Undergoer was not met, thus further supporting the cross-linguistically robust nature of animacy preferences. In addition, though specific contextual cues that are indicative of a forthcoming non-ideal Actor may reduce this negativity in comparison to when such cues are not available, they nevertheless do not nullify it, suggesting that animacy-based predictions are stronger than contextual cues in online language comprehension. Copyright © 2014 Elsevier B.V. All rights reserved.
Harm reduction as a complex adaptive system: A dynamic framework for analyzing Tanzanian policies concerning heroin use.

PubMed

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.
Training students with patient actors improves communication: a pilot study.

PubMed

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.
Food Safety Perceptions and Practices among Smallholder Pork Value Chain Actors in Hung Yen Province, Vietnam.

PubMed

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.
Genetic Algorithms and Nucleation in VIH-AIDS transition.

NASA Astrophysics Data System (ADS)

Barranon, Armando

2003-03-01

VIH to AIDS transition has been modeled via a genetic algorithm that uses boom-boom principle and where population evolution is simulated with a cellular automaton based on SIR model. VIH to AIDS transition is signed by nucleation of infected cells and low probability of infection are obtained for different mutation rates in agreement with clinical results. A power law is obtained with a critical exponent close to the critical exponent of cubic, spherical percolation, colossal magnetic resonance, Ising Model and liquid-gas phase transition in heavy ion collisions. Computations were carried out at UAM-A Supercomputing Lab and author acknowledges financial support from Division of CBI at UAM-A.
Output-Sensitive Construction of Reeb Graphs.

PubMed

Doraiswamy, H; Natarajan, V

2012-01-01

The Reeb graph of a scalar function represents the evolution of the topology of its level sets. This paper describes a near-optimal output-sensitive algorithm for computing the Reeb graph of scalar functions defined over manifolds or non-manifolds in any dimension. Key to the simplicity and efficiency of the algorithm is an alternate definition of the Reeb graph that considers equivalence classes of level sets instead of individual level sets. The algorithm works in two steps. The first step locates all critical points of the function in the domain. Critical points correspond to nodes in the Reeb graph. Arcs connecting the nodes are computed in the second step by a simple search procedure that works on a small subset of the domain that corresponds to a pair of critical points. The paper also describes a scheme for controlled simplification of the Reeb graph and two different graph layout schemes that help in the effective presentation of Reeb graphs for visual analysis of scalar fields. Finally, the Reeb graph is employed in four different applications-surface segmentation, spatially-aware transfer function design, visualization of interval volumes, and interactive exploration of time-varying data.
Imbalanced learning for pattern recognition: an empirical study

NASA Astrophysics Data System (ADS)

He, Haibo; Chen, Sheng; Man, Hong; Desai, Sachi; Quoraishee, Shafik

2010-10-01

The imbalanced learning problem (learning from imbalanced data) presents a significant new challenge to the pattern recognition and machine learning society because in most instances real-world data is imbalanced. When considering military applications, the imbalanced learning problem becomes much more critical because such skewed distributions normally carry the most interesting and critical information. This critical information is necessary to support the decision-making process in battlefield scenarios, such as anomaly or intrusion detection. The fundamental issue with imbalanced learning is the ability of imbalanced data to compromise the performance of standard learning algorithms, which assume balanced class distributions or equal misclassification penalty costs. Therefore, when presented with complex imbalanced data sets these algorithms may not be able to properly represent the distributive characteristics of the data. In this paper we present an empirical study of several popular imbalanced learning algorithms on an army relevant data set. Specifically we will conduct various experiments with SMOTE (Synthetic Minority Over-Sampling Technique), ADASYN (Adaptive Synthetic Sampling), SMOTEBoost (Synthetic Minority Over-Sampling in Boosting), and AdaCost (Misclassification Cost-Sensitive Boosting method) schemes. Detailed experimental settings and simulation results are presented in this work, and a brief discussion of future research opportunities/challenges is also presented.
Democratic Republic of Congo A Fertile Ground for Instability in the Great Lakes Region States

DTIC Science & Technology

2017-06-09

International 2007, 3). Non-state Armed Groups Involved in the Congo Conflict There have been a number of non-state actors from the four countries herein...insurgent groups from neighboring countries: Uganda, Rwanda, and Burundi. These non-state actors have their own interests and goals; namely, wrestling...chaos in the Great Lakes Region. These are insurgent groups from neighboring countries: Uganda, Rwanda, and Burundi. These non-state actors have
The Media and Democracy in Russia

DTIC Science & Technology

2005-06-01

actors must be determined in the pursuit of their goals, use their resources prudently and effectively, combine the capacity to govern with...problems can come from either the state, or non-state actors .13 The overall status of Russia has fallen from partly free to not free during the...glorifying the state, or in which the state is even a central actor . The idea of the statute is to involve the state as little as possible, to move toward
Student trajectories in physics: the need for analysis through a socio-cultural lens

NASA Astrophysics Data System (ADS)

Zapata, Mara

2010-09-01

An analysis of student connections through time and space relative to the core discipline of physics is attempted, as viewed through the lens of actor-network-theory, by Antonia Candela. Using lenses of cultural realities, networks, and perceived power in the discourse of one specific university in the capital city of Mexico and one undergraduate physics classroom, the trajectories and itineraries of students are analyzed, relative to a physics professor's pedagogical practices. This ethnographic study then yields comparisons between Mexican undergraduate students and students from the United States. Actor network theory recognizes that the symbiotic relationship existing between an actor and a continuum of space and time is defined by the symbiotic yet interdependent relationships and networks of practice (Lemke in Downward causation: Minds, bodies, and matter 2000). As part of this study and in line with actor-network-theory, human actors and non-human participants were viewed in relation to how subjects acted and were acted upon within networks of practice. Through this forum I reflect on this work with particular focus on the issues of situatedness of actors from a sociocultural perspective and how established networks viewed within this perspective frame and subsequently impact student trajectories and itineraries. In essence I argue for a need to look at a myriad of further complexities driving the symbiotic relationships being analyzed.
Corruption and the Other(s): Scope of Superordinate Identity Matters for Corruption Permissibility

PubMed Central

Pisor, Anne C.; Gurven, Michael

2015-01-01

The decision to engage in corruption—public and private corruption, nepotism, and embezzlement—is often attributed to rational actors maximizing benefits to themselves. However, the importance of reciprocal relationships in humans suggests that an actor may weigh the costs of harms of her corrupt behavior to individuals who may generate future benefits for her. We hypothesize that actors who have a larger circle of actual and potential social partners will have more individuals to consider when generating harms and will thus be less likely to find corrupt acts permissible than actors with smaller circles of valued others. Using data from the World Values Survey and European Values Study (WVS), we explore whether participants with a larger geographic identity or a greater number of group memberships (i.e. a larger scope of actual and potential social partners) are less likely to find accepting bribes permissible. We find mixed support for our hypotheses, but consistently find that WVS participants with local, country, continent, or world geographic identities are less likely to find accepting a bribe permissible than those with regional identities—that is, actors whose primary identities that encompass more than their region find corruption less permissible. We discuss the importance of considering an actor’s valuation of others when modeling corruption persistence, noting that establishing scopes of positive valuation is a precursor to predicting where actors will target benefits and shunt costs. PMID:26650395

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