WorldWideScience

Sample records for modelling team adversarial

  1. Learning Adversary Modeling from Games

    National Research Council Canada - National Science Library

    Avellino, Paul

    2007-01-01

    .... In the computer age, highly accurate models and simulations of the enemy can be created. However, including the effects of motivations, capabilities, and weaknesses of adversaries in current wars is still extremely difficult...

  2. Modeling intelligent adversaries for terrorism risk assessment: some necessary conditions for adversary models.

    Science.gov (United States)

    Guikema, Seth

    2012-07-01

    Intelligent adversary modeling has become increasingly important for risk analysis, and a number of different approaches have been proposed for incorporating intelligent adversaries in risk analysis models. However, these approaches are based on a range of often-implicit assumptions about the desirable properties of intelligent adversary models. This "Perspective" paper aims to further risk analysis for situations involving intelligent adversaries by fostering a discussion of the desirable properties for these models. A set of four basic necessary conditions for intelligent adversary models is proposed and discussed. These are: (1) behavioral accuracy to the degree possible, (2) computational tractability to support decision making, (3) explicit consideration of uncertainty, and (4) ability to gain confidence in the model. It is hoped that these suggested necessary conditions foster discussion about the goals and assumptions underlying intelligent adversary modeling in risk analysis. © 2011 Society for Risk Analysis.

  3. Modeling documents with Generative Adversarial Networks

    OpenAIRE

    Glover, John

    2016-01-01

    This paper describes a method for using Generative Adversarial Networks to learn distributed representations of natural language documents. We propose a model that is based on the recently proposed Energy-Based GAN, but instead uses a Denoising Autoencoder as the discriminator network. Document representations are extracted from the hidden layer of the discriminator and evaluated both quantitatively and qualitatively.

  4. Using plural modeling for predicting decisions made by adaptive adversaries

    International Nuclear Information System (INIS)

    Buede, Dennis M.; Mahoney, Suzanne; Ezell, Barry; Lathrop, John

    2012-01-01

    Incorporating an appropriate representation of the likelihood of terrorist decision outcomes into risk assessments associated with weapons of mass destruction attacks has been a significant problem for countries around the world. Developing these likelihoods gets at the heart of the most difficult predictive problems: human decision making, adaptive adversaries, and adversaries about which very little is known. A plural modeling approach is proposed that incorporates estimates of all critical uncertainties: who is the adversary and what skills and resources are available to him, what information is known to the adversary and what perceptions of the important facts are held by this group or individual, what does the adversary know about the countermeasure actions taken by the government in question, what are the adversary's objectives and the priorities of those objectives, what would trigger the adversary to start an attack and what kind of success does the adversary desire, how realistic is the adversary in estimating the success of an attack, how does the adversary make a decision and what type of model best predicts this decision-making process. A computational framework is defined to aggregate the predictions from a suite of models, based on this broad array of uncertainties. A validation approach is described that deals with a significant scarcity of data.

  5. Computational Modeling of Cultural Dimensions in Adversary Organizations

    Science.gov (United States)

    2010-01-01

    theatre of operations. 50 51 Chapter 5 Adversary Modeling Applications 5.1 Modeling Uncertainty in Adversary Behavior: Attacks in...Underestimate the Strength of Coalition Power 1 1 (= True) 1 1 1 -- Coalition Deploys Forces to Indonesia 1 1 2 1 2 -- Thai can Conduct Unilateral NEO 1 1

  6. Adversarial life testing: A Bayesian negotiation model

    International Nuclear Information System (INIS)

    Rufo, M.J.; Martín, J.; Pérez, C.J.

    2014-01-01

    Life testing is a procedure intended for facilitating the process of making decisions in the context of industrial reliability. On the other hand, negotiation is a process of making joint decisions that has one of its main foundations in decision theory. A Bayesian sequential model of negotiation in the context of adversarial life testing is proposed. This model considers a general setting for which a manufacturer offers a product batch to a consumer. It is assumed that the reliability of the product is measured in terms of its lifetime. Furthermore, both the manufacturer and the consumer have to use their own information with respect to the quality of the product. Under these assumptions, two situations can be analyzed. For both of them, the main aim is to accept or reject the product batch based on the product reliability. This topic is related to a reliability demonstration problem. The procedure is applied to a class of distributions that belong to the exponential family. Thus, a unified framework addressing the main topics in the considered Bayesian model is presented. An illustrative example shows that the proposed technique can be easily applied in practice

  7. Modelling adversary actions against a nuclear material accounting system

    International Nuclear Information System (INIS)

    Lim, J.J.; Huebel, J.G.

    1979-01-01

    A typical nuclear material accounting system employing double-entry bookkeeping is described. A logic diagram is used to model the interactions of the accounting system and the adversary when he attempts to thwart it. Boolean equations are derived from the logic diagram; solution of these equations yields the accounts and records through which the adversary may disguise a SSNM theft and the collusion requirements needed to accomplish this feat. Some technical highlights of the logic diagram are also discussed

  8. Modeling urbanization patterns with generative adversarial networks

    OpenAIRE

    Albert, Adrian; Strano, Emanuele; Kaur, Jasleen; Gonzalez, Marta

    2018-01-01

    In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use inventory. We generated a synthetic urban "universe" that qualitatively reproduces the complex spatial organization observed in global urban patterns, while being able to quantitatively recover certain key high-level urban spatial metrics.

  9. An adversarial queueing model for online server routing

    NARCIS (Netherlands)

    Bonifaci, V.

    2007-01-01

    In an online server routing problem, a vehicle or server moves in a network in order to process incoming requests at the nodes. Online server routing problems have been thoroughly studied using competitive analysis. We propose a new model for online server routing, based on adversarial queueing

  10. Towards an Iterated Game Model with Multiple Adversaries in Smart-World Systems

    Directory of Open Access Journals (Sweden)

    Xiaofei He

    2018-02-01

    Full Text Available Diverse and varied cyber-attacks challenge the operation of the smart-world system that is supported by Internet-of-Things (IoT (smart cities, smart grid, smart transportation, etc. and must be carefully and thoughtfully addressed before widespread adoption of the smart-world system can be fully realized. Although a number of research efforts have been devoted to defending against these threats, a majority of existing schemes focus on the development of a specific defensive strategy to deal with specific, often singular threats. In this paper, we address the issue of coalitional attacks, which can be launched by multiple adversaries cooperatively against the smart-world system such as smart cities. Particularly, we propose a game-theory based model to capture the interaction among multiple adversaries, and quantify the capacity of the defender based on the extended Iterated Public Goods Game (IPGG model. In the formalized game model, in each round of the attack, a participant can either cooperate by participating in the coalitional attack, or defect by standing aside. In our work, we consider the generic defensive strategy that has a probability to detect the coalitional attack. When the coalitional attack is detected, all participating adversaries are penalized. The expected payoff of each participant is derived through the equalizer strategy that provides participants with competitive benefits. The multiple adversaries with the collusive strategy are also considered. Via a combination of theoretical analysis and experimentation, our results show that no matter which strategies the adversaries choose (random strategy, win-stay-lose-shift strategy, or even the adaptive equalizer strategy, our formalized game model is capable of enabling the defender to greatly reduce the maximum value of the expected average payoff to the adversaries via provisioning sufficient defensive resources, which is reflected by setting a proper penalty factor against

  11. Towards an Iterated Game Model with Multiple Adversaries in Smart-World Systems †

    Science.gov (United States)

    Yang, Xinyu; Yu, Wei; Lin, Jie; Yang, Qingyu

    2018-01-01

    Diverse and varied cyber-attacks challenge the operation of the smart-world system that is supported by Internet-of-Things (IoT) (smart cities, smart grid, smart transportation, etc.) and must be carefully and thoughtfully addressed before widespread adoption of the smart-world system can be fully realized. Although a number of research efforts have been devoted to defending against these threats, a majority of existing schemes focus on the development of a specific defensive strategy to deal with specific, often singular threats. In this paper, we address the issue of coalitional attacks, which can be launched by multiple adversaries cooperatively against the smart-world system such as smart cities. Particularly, we propose a game-theory based model to capture the interaction among multiple adversaries, and quantify the capacity of the defender based on the extended Iterated Public Goods Game (IPGG) model. In the formalized game model, in each round of the attack, a participant can either cooperate by participating in the coalitional attack, or defect by standing aside. In our work, we consider the generic defensive strategy that has a probability to detect the coalitional attack. When the coalitional attack is detected, all participating adversaries are penalized. The expected payoff of each participant is derived through the equalizer strategy that provides participants with competitive benefits. The multiple adversaries with the collusive strategy are also considered. Via a combination of theoretical analysis and experimentation, our results show that no matter which strategies the adversaries choose (random strategy, win-stay-lose-shift strategy, or even the adaptive equalizer strategy), our formalized game model is capable of enabling the defender to greatly reduce the maximum value of the expected average payoff to the adversaries via provisioning sufficient defensive resources, which is reflected by setting a proper penalty factor against the adversaries

  12. Towards an Iterated Game Model with Multiple Adversaries in Smart-World Systems.

    Science.gov (United States)

    He, Xiaofei; Yang, Xinyu; Yu, Wei; Lin, Jie; Yang, Qingyu

    2018-02-24

    Diverse and varied cyber-attacks challenge the operation of the smart-world system that is supported by Internet-of-Things (IoT) (smart cities, smart grid, smart transportation, etc.) and must be carefully and thoughtfully addressed before widespread adoption of the smart-world system can be fully realized. Although a number of research efforts have been devoted to defending against these threats, a majority of existing schemes focus on the development of a specific defensive strategy to deal with specific, often singular threats. In this paper, we address the issue of coalitional attacks, which can be launched by multiple adversaries cooperatively against the smart-world system such as smart cities. Particularly, we propose a game-theory based model to capture the interaction among multiple adversaries, and quantify the capacity of the defender based on the extended Iterated Public Goods Game (IPGG) model. In the formalized game model, in each round of the attack, a participant can either cooperate by participating in the coalitional attack, or defect by standing aside. In our work, we consider the generic defensive strategy that has a probability to detect the coalitional attack. When the coalitional attack is detected, all participating adversaries are penalized. The expected payoff of each participant is derived through the equalizer strategy that provides participants with competitive benefits. The multiple adversaries with the collusive strategy are also considered. Via a combination of theoretical analysis and experimentation, our results show that no matter which strategies the adversaries choose (random strategy, win-stay-lose-shift strategy, or even the adaptive equalizer strategy), our formalized game model is capable of enabling the defender to greatly reduce the maximum value of the expected average payoff to the adversaries via provisioning sufficient defensive resources, which is reflected by setting a proper penalty factor against the adversaries

  13. A Graphical Adversarial Risk Analysis Model for Oil and Gas Drilling Cybersecurity

    OpenAIRE

    Vieira, Aitor Couce; Houmb, Siv Hilde; Insua, David Rios

    2014-01-01

    Oil and gas drilling is based, increasingly, on operational technology, whose cybersecurity is complicated by several challenges. We propose a graphical model for cybersecurity risk assessment based on Adversarial Risk Analysis to face those challenges. We also provide an example of the model in the context of an offshore drilling rig. The proposed model provides a more formal and comprehensive analysis of risks, still using the standard business language based on decisions, risks, and value.

  14. A Graphical Adversarial Risk Analysis Model for Oil and Gas Drilling Cybersecurity

    Directory of Open Access Journals (Sweden)

    Aitor Couce Vieira

    2014-04-01

    Full Text Available Oil and gas drilling is based, increasingly, on operational technology, whose cybersecurity is complicated by several challenges. We propose a graphical model for cybersecurity risk assessment based on Adversarial Risk Analysis to face those challenges. We also provide an example of the model in the context of an offshore drilling rig. The proposed model provides a more formal and comprehensive analysis of risks, still using the standard business language based on decisions, risks, and value.

  15. Using Machine Learning in Adversarial Environments.

    Energy Technology Data Exchange (ETDEWEB)

    Davis, Warren Leon [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2016-02-01

    Intrusion/anomaly detection systems are among the first lines of cyber defense. Commonly, they either use signatures or machine learning (ML) to identify threats, but fail to account for sophisticated attackers trying to circumvent them. We propose to embed machine learning within a game theoretic framework that performs adversarial modeling, develops methods for optimizing operational response based on ML, and integrates the resulting optimization codebase into the existing ML infrastructure developed by the Hybrid LDRD. Our approach addresses three key shortcomings of ML in adversarial settings: 1) resulting classifiers are typically deterministic and, therefore, easy to reverse engineer; 2) ML approaches only address the prediction problem, but do not prescribe how one should operationalize predictions, nor account for operational costs and constraints; and 3) ML approaches do not model attackers’ response and can be circumvented by sophisticated adversaries. The principal novelty of our approach is to construct an optimization framework that blends ML, operational considerations, and a model predicting attackers reaction, with the goal of computing optimal moving target defense. One important challenge is to construct a realistic model of an adversary that is tractable, yet realistic. We aim to advance the science of attacker modeling by considering game-theoretic methods, and by engaging experimental subjects with red teaming experience in trying to actively circumvent an intrusion detection system, and learning a predictive model of such circumvention activities. In addition, we will generate metrics to test that a particular model of an adversary is consistent with available data.

  16. Study on team evaluation. Team process model for team evaluation

    International Nuclear Information System (INIS)

    Sasou Kunihide; Ebisu, Mitsuhiro; Hirose, Ayako

    2004-01-01

    Several studies have been done to evaluate or improve team performance in nuclear and aviation industries. Crew resource management is the typical example. In addition, team evaluation recently gathers interests in other teams of lawyers, medical staff, accountants, psychiatrics, executive, etc. However, the most evaluation methods focus on the results of team behavior that can be observed through training or actual business situations. What is expected team is not only resolving problems but also training younger members being destined to lead the next generation. Therefore, the authors set the final goal of this study establishing a series of methods to evaluate and improve teams inclusively such as decision making, motivation, staffing, etc. As the first step, this study develops team process model describing viewpoints for the evaluation. The team process is defined as some kinds of power that activate or inactivate competency of individuals that is the components of team's competency. To find the team process, the authors discussed the merits of team behavior with the experienced training instructors and shift supervisors of nuclear/thermal power plants. The discussion finds four team merits and many components to realize those team merits. Classifying those components into eight groups of team processes such as 'Orientation', 'Decision Making', 'Power and Responsibility', 'Workload Management', 'Professional Trust', 'Motivation', 'Training' and 'staffing', the authors propose Team Process Model with two to four sub processes in each team process. In the future, the authors will develop methods to evaluate some of the team processes for nuclear/thermal power plant operation teams. (author)

  17. Adversary characterization for security system evaluation

    International Nuclear Information System (INIS)

    Suber, L.A. Jr.

    1976-04-01

    Evaluation of security systems effectiveness requires a definition of adversary capabilities, but an objective basis for such a definition has been lacking. A system of adversary attributes is proposed in which any desired adversary may be synthesized by selection of the appropriate level of capability from each attribute or category. In use, the synthesized adversaries will be pitted against a security system in an evaluation model, thus allowing comparison of other adversary or security system configurations

  18. A model-referenced procedure to support adversarial decision processes

    International Nuclear Information System (INIS)

    Bunn, D.W.; Vlahos, K.

    1992-01-01

    In public enquiries concerning major facilities, such as the construction of a new electric power plant, it is observed that a useable decision model should be made commonly available alongside the open provision of data and assumptions. The protagonist, eg the electric utility, generally makes use of a complex, proprietary model for detailed evaluation of options. A simple emulator of this, based upon a regression analysis of numerous scenarios, and validated by further simulations is shown to be feasible and potentially attractive. It would be in the interests of the utility to make such a model-referenced decision support method generally available. The approach is considered in relation to the recent Hinkley Point C public enquiry for a new nuclear power plant in the UK. (Author)

  19. Modeling Adversaries in Counterterrorism Decisions Using Prospect Theory.

    Science.gov (United States)

    Merrick, Jason R W; Leclerc, Philip

    2016-04-01

    Counterterrorism decisions have been an intense area of research in recent years. Both decision analysis and game theory have been used to model such decisions, and more recently approaches have been developed that combine the techniques of the two disciplines. However, each of these approaches assumes that the attacker is maximizing its utility. Experimental research shows that human beings do not make decisions by maximizing expected utility without aid, but instead deviate in specific ways such as loss aversion or likelihood insensitivity. In this article, we modify existing methods for counterterrorism decisions. We keep expected utility as the defender's paradigm to seek for the rational decision, but we use prospect theory to solve for the attacker's decision to descriptively model the attacker's loss aversion and likelihood insensitivity. We study the effects of this approach in a critical decision, whether to screen containers entering the United States for radioactive materials. We find that the defender's optimal decision is sensitive to the attacker's levels of loss aversion and likelihood insensitivity, meaning that understanding such descriptive decision effects is important in making such decisions. © 2014 Society for Risk Analysis.

  20. Application of adversarial risk analysis model in pricing strategies with remanufacturing

    Directory of Open Access Journals (Sweden)

    Liurui Deng

    2015-01-01

    Full Text Available Purpose: Purpose: This paper mainly focus on the application of adversarial risk analysis (ARA in pricing strategy with remanufacturing. We hope to obtain more realistic results than classical model. Moreover, we also wish that our research improve the development of ARA in pricing strategy of manufacturing or remanufacturing. Approach: In order to gain more actual research, combining adversarial risk analysis, we explore the pricing strategy with remanufacturing based on Stackelberg model. Especially, we build OEM’s 1-order ARA model and further study on manufacturers and remanufacturers’ pricing strategy. Findings: We find the OEM’s 1-order ARA model for the OEM’s product cost C. Besides, we get according manufacturers and remanufacturers’ pricing strategies. Besides, the pricing strategies based on 1-order ARA model have advantage over than the classical model regardless of OEMs and remanufacturers. Research implications: The research on application of ARA imply that we can get more actual results with this kind of modern risk analysis method and ARA can be extensively in pricing strategies of supply chain. Value: Our research improves the application of ARA in remanufacturing industry. Meanwhile, inspired by this analysis, we can also create different ARA models for different parameters. Furthermore, some results and analysis methods can be applied to other pricing strategies of supply chain.

  1. Semantic policy and adversarial modeling for cyber threat identification and avoidance

    Science.gov (United States)

    DeFrancesco, Anton; McQueary, Bruce

    2009-05-01

    Today's enterprise networks undergo a relentless barrage of attacks from foreign and domestic adversaries. These attacks may be perpetrated with little to no funding, but may wreck incalculable damage upon the enterprises security, network infrastructure, and services. As more services come online, systems that were once in isolation now provide information that may be combined dynamically with information from other systems to create new meaning on the fly. Security issues are compounded by the potential to aggregate individual pieces of information and infer knowledge at a higher classification than any of its constituent parts. To help alleviate these challenges, in this paper we introduce the notion of semantic policy and discuss how it's use is evolving from a robust approach to access control to preempting and combating attacks in the cyber domain, The introduction of semantic policy and adversarial modeling to network security aims to ask 'where is the network most vulnerable', 'how is the network being attacked', and 'why is the network being attacked'. The first aspect of our approach is integration of semantic policy into enterprise security to augment traditional network security with an overall awareness of policy access and violations. This awareness allows the semantic policy to look at the big picture - analyzing trends and identifying critical relations in system wide data access. The second aspect of our approach is to couple adversarial modeling with semantic policy to move beyond reactive security measures and into a proactive identification of system weaknesses and areas of vulnerability. By utilizing Bayesian-based methodologies, the enterprise wide meaning of data and semantic policy is applied to probability and high-level risk identification. This risk identification will help mitigate potential harm to enterprise networks by enabling resources to proactively isolate, lock-down, and secure systems that are most vulnerable.

  2. Evaluation of risk from acts of terrorism :the adversary/defender model using belief and fuzzy sets.

    Energy Technology Data Exchange (ETDEWEB)

    Darby, John L.

    2006-09-01

    Risk from an act of terrorism is a combination of the likelihood of an attack, the likelihood of success of the attack, and the consequences of the attack. The considerable epistemic uncertainty in each of these three factors can be addressed using the belief/plausibility measure of uncertainty from the Dempster/Shafer theory of evidence. The adversary determines the likelihood of the attack. The success of the attack and the consequences of the attack are determined by the security system and mitigation measures put in place by the defender. This report documents a process for evaluating risk of terrorist acts using an adversary/defender model with belief/plausibility as the measure of uncertainty. Also, the adversary model is a linguistic model that applies belief/plausibility to fuzzy sets used in an approximate reasoning rule base.

  3. Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning

    OpenAIRE

    Peng, Baolin; Li, Xiujun; Gao, Jianfeng; Liu, Jingjing; Chen, Yun-Nung; Wong, Kam-Fai

    2017-01-01

    This paper presents a new method --- adversarial advantage actor-critic (Adversarial A2C), which significantly improves the efficiency of dialogue policy learning in task-completion dialogue systems. Inspired by generative adversarial networks (GAN), we train a discriminator to differentiate responses/actions generated by dialogue agents from responses/actions by experts. Then, we incorporate the discriminator as another critic into the advantage actor-critic (A2C) framework, to encourage the...

  4. Learning Physics-based Models in Hydrology under the Framework of Generative Adversarial Networks

    Science.gov (United States)

    Karpatne, A.; Kumar, V.

    2017-12-01

    Generative adversarial networks (GANs), that have been highly successful in a number of applications involving large volumes of labeled and unlabeled data such as computer vision, offer huge potential for modeling the dynamics of physical processes that have been traditionally studied using simulations of physics-based models. While conventional physics-based models use labeled samples of input/output variables for model calibration (estimating the right parametric forms of relationships between variables) or data assimilation (identifying the most likely sequence of system states in dynamical systems), there is a greater opportunity to explore the full power of machine learning (ML) methods (e.g, GANs) for studying physical processes currently suffering from large knowledge gaps, e.g. ground-water flow. However, success in this endeavor requires a principled way of combining the strengths of ML methods with physics-based numerical models that are founded on a wealth of scientific knowledge. This is especially important in scientific domains like hydrology where the number of data samples is small (relative to Internet-scale applications such as image recognition where machine learning methods has found great success), and the physical relationships are complex (high-dimensional) and non-stationary. We will present a series of methods for guiding the learning of GANs using physics-based models, e.g., by using the outputs of physics-based models as input data to the generator-learner framework, and by using physics-based models as generators trained using validation data in the adversarial learning framework. These methods are being developed under the broad paradigm of theory-guided data science that we are developing to integrate scientific knowledge with data science methods for accelerating scientific discovery.

  5. Adversarial risk analysis

    CERN Document Server

    Banks, David L; Rios Insua, David

    2015-01-01

    Flexible Models to Analyze Opponent Behavior A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods for allocating defensive or offensive resources against intelligent adversaries. Many examples throughout illustrate the application of the ARA approach to a variety of games and strategic situations. The book shows decision makers how to build Bayesian models for the strategic calculation of their opponents, enabling decision makers to maximize their expected utility or minimize their expected loss. This new approach to risk analysis asserts that analysts should use Bayesian thinking to describe their beliefs about an opponent's goals, resources, optimism, and type of strategic calculation, such as minimax and level-k thinking. Within that framework, analysts then solve the problem from the perspective of the opponent while placing subjective probability distributions on a...

  6. Adversary modeling: an analysis of criminal activities analogous to potential threats to nuclear safeguard systems

    Energy Technology Data Exchange (ETDEWEB)

    Heineke, J.M.

    1978-12-20

    This study examines and analyzes several classes of incidents in which decision makers are confronted with adversaries. The classes are analogous to adversaries in a material control system in a nuclear facility. Both internal threats (bank frauds and embezzlements) and external threats (aircraft hijackings and hostage-type terrorist events were analyzed. (DLC)

  7. Adversary modeling: an analysis of criminal activities analogous to potential threats to nuclear safeguard systems

    International Nuclear Information System (INIS)

    Heineke, J.M.

    1978-01-01

    This study examines and analyzes several classes of incidents in which decision makers are confronted with adversaries. The classes are analogous to adversaries in a material control system in a nuclear facility. Both internal threats (bank frauds and embezzlements) and external threats (aircraft hijackings and hostage-type terrorist events were analyzed

  8. Fine-Tuning Neural Patient Question Retrieval Model with Generative Adversarial Networks.

    Science.gov (United States)

    Tang, Guoyu; Ni, Yuan; Wang, Keqiang; Yong, Qin

    2018-01-01

    The online patient question and answering (Q&A) system attracts an increasing amount of users in China. Patient will post their questions and wait for doctors' response. To avoid the lag time involved with the waiting and to reduce the workload on the doctors, a better method is to automatically retrieve the semantically equivalent question from the archive. We present a Generative Adversarial Networks (GAN) based approach to automatically retrieve patient question. We apply supervised deep learning based approaches to determine the similarity between patient questions. Then a GAN framework is used to fine-tune the pre-trained deep learning models. The experiment results show that fine-tuning by GAN can improve the performance.

  9. Adversarial reasoning: challenges and approaches

    Science.gov (United States)

    Kott, Alexander; Ownby, Michael

    2005-05-01

    This paper defines adversarial reasoning as computational approaches to inferring and anticipating an enemy's perceptions, intents and actions. It argues that adversarial reasoning transcends the boundaries of game theory and must also leverage such disciplines as cognitive modeling, control theory, AI planning and others. To illustrate the challenges of applying adversarial reasoning to real-world problems, the paper explores the lessons learned in the CADET -- a battle planning system that focuses on brigade-level ground operations and involves adversarial reasoning. From this example of current capabilities, the paper proceeds to describe RAID -- a DARPA program that aims to build capabilities in adversarial reasoning, and how such capabilities would address practical requirements in Defense and other application areas.

  10. When does familiarity promote versus undermine interpersonal attraction? A proposed integrative model from erstwhile adversaries

    NARCIS (Netherlands)

    Frost, J.H.; Finkel, E.J.; Norton, M.I.; Ariely, D.; Caprariello, P.A.; Eastwick, P.W.

    2015-01-01

    This article began as an adversarial collaboration between two groups of researchers with competing views on a longstanding question: Does familiarity promote or undermine interpersonal attraction? As we explored our respective positions, it became clear that the limitations of our

  11. Flipped-Adversarial AutoEncoders

    OpenAIRE

    Zhang, Jiyi; Dang, Hung; Lee, Hwee Kuan; Chang, Ee-Chien

    2018-01-01

    We propose a flipped-Adversarial AutoEncoder (FAAE) that simultaneously trains a generative model G that maps an arbitrary latent code distribution to a data distribution and an encoder E that embodies an "inverse mapping" that encodes a data sample into a latent code vector. Unlike previous hybrid approaches that leverage adversarial training criterion in constructing autoencoders, FAAE minimizes re-encoding errors in the latent space and exploits adversarial criterion in the data space. Exp...

  12. Modeling urbanization patterns at a global scale with generative adversarial networks

    Science.gov (United States)

    Albert, A. T.; Strano, E.; Gonzalez, M.

    2017-12-01

    Current demographic projections show that, in the next 30 years, global population growth will mostly take place in developing countries. Coupled with a decrease in density, such population growth could potentially double the land occupied by settlements by 2050. The lack of reliable and globally consistent socio-demographic data, coupled with the limited predictive performance underlying traditional urban spatial explicit models, call for developing better predictive methods, calibrated using a globally-consistent dataset. Thus, richer models of the spatial interplay between the urban built-up land, population distribution and energy use are central to the discussion around the expansion and development of cities, and their impact on the environment in the context of a changing climate. In this talk we discuss methods for, and present an analysis of, urban form, defined as the spatial distribution of macroeconomic quantities that characterize a city, using modern machine learning methods and best-available remote-sensing data for the world's largest 25,000 cities. We first show that these cities may be described by a small set of patterns in radial building density, nighttime luminosity, and population density, which highlight, to first order, differences in development and land use across the world. We observe significant, spatially-dependent variance around these typical patterns, which would be difficult to model using traditional statistical methods. We take a first step in addressing this challenge by developing CityGAN, a conditional generative adversarial network model for simulating realistic urban forms. To guide learning and measure the quality of the simulated synthetic cities, we develop a specialized loss function for GAN optimization that incorporates standard spatial statistics used by urban analysis experts. Our framework is a stark departure from both the standard physics-based approaches in the literature (that view urban forms as fractals with a

  13. Learning consensus in adversarial environments

    Science.gov (United States)

    Vamvoudakis, Kyriakos G.; García Carrillo, Luis R.; Hespanha, João. P.

    2013-05-01

    This work presents a game theory-based consensus problem for leaderless multi-agent systems in the presence of adversarial inputs that are introducing disturbance to the dynamics. Given the presence of enemy components and the possibility of malicious cyber attacks compromising the security of networked teams, a position agreement must be reached by the networked mobile team based on environmental changes. The problem is addressed under a distributed decision making framework that is robust to possible cyber attacks, which has an advantage over centralized decision making in the sense that a decision maker is not required to access information from all the other decision makers. The proposed framework derives three tuning laws for every agent; one associated with the cost, one associated with the controller, and one with the adversarial input.

  14. When does familiarity promote versus undermine interpersonal attraction? A proposed integrative model from erstwhile adversaries.

    Science.gov (United States)

    Finkel, Eli J; Norton, Michael I; Reis, Harry T; Ariely, Dan; Caprariello, Peter A; Eastwick, Paul W; Frost, Jeana H; Maniaci, Michael R

    2015-01-01

    This article began as an adversarial collaboration between two groups of researchers with competing views on a longstanding question: Does familiarity promote or undermine interpersonal attraction? As we explored our respective positions, it became clear that the limitations of our conceptualizations of the familiarity-attraction link, as well as the limitations of prior research, were masking a set of higher order principles capable of integrating these diverse conceptualizations. This realization led us to adopt a broader perspective, which focuses on three distinct relationship stages-awareness, surface contact, and mutuality-and suggests that the influence of familiarity on attraction depends on both the nature and the stage of the relationship between perceivers and targets. This article introduces the framework that emerged from our discussions and suggests directions for research to investigate its validity. © The Author(s) 2014.

  15. druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico.

    Science.gov (United States)

    Kadurin, Artur; Nikolenko, Sergey; Khrabrov, Kuzma; Aliper, Alex; Zhavoronkov, Alex

    2017-09-05

    Deep generative adversarial networks (GANs) are the emerging technology in drug discovery and biomarker development. In our recent work, we demonstrated a proof-of-concept of implementing deep generative adversarial autoencoder (AAE) to identify new molecular fingerprints with predefined anticancer properties. Another popular generative model is the variational autoencoder (VAE), which is based on deep neural architectures. In this work, we developed an advanced AAE model for molecular feature extraction problems, and demonstrated its advantages compared to VAE in terms of (a) adjustability in generating molecular fingerprints; (b) capacity of processing very large molecular data sets; and (c) efficiency in unsupervised pretraining for regression model. Our results suggest that the proposed AAE model significantly enhances the capacity and efficiency of development of the new molecules with specific anticancer properties using the deep generative models.

  16. Team learning: building shared mental models

    NARCIS (Netherlands)

    Bossche, van den P.; Gijselaers, W.; Segers, M.; Woltjer, G.B.; Kirschner, P.

    2011-01-01

    To gain insight in the social processes that underlie knowledge sharing in teams, this article questions which team learning behaviors lead to the construction of a shared mental model. Additionally, it explores how the development of shared mental models mediates the relation between team learning

  17. Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN

    OpenAIRE

    Lee, Hyeungill; Han, Sungyeob; Lee, Jungwoo

    2017-01-01

    We propose a novel technique to make neural network robust to adversarial examples using a generative adversarial network. We alternately train both classifier and generator networks. The generator network generates an adversarial perturbation that can easily fool the classifier network by using a gradient of each image. Simultaneously, the classifier network is trained to classify correctly both original and adversarial images generated by the generator. These procedures help the classifier ...

  18. Monte-Carlo approach to the generation of adversary paths

    International Nuclear Information System (INIS)

    1977-01-01

    This paper considers the definition of a threat as the sequence of events that might lead to adversary success. A nuclear facility is characterized as a weighted, labeled, directed graph, with critical adversary paths. A discrete-event, Monte-Carlo simulation model is used to estimate the probability of the critical paths. The model was tested for hypothetical facilities, with promising results

  19. A model-referenced procedure to support adversarial decision processes; Application to electricity planning

    Energy Technology Data Exchange (ETDEWEB)

    Bunn, D.W.; Vlahos, K. (London Business School (United Kingdom))

    1992-10-01

    In public enquiries concerning major facilities, such as the construction of a new electric power plant, it is observed that a useable decision model should be made commonly available alongside the open provision of data and assumptions. The protagonist, eg the electric utility, generally makes use of a complex, proprietary model for detailed evaluation of options. A simple emulator of this, based upon a regression analysis of numerous scenarios, and validated by further simulations is shown to be feasible and potentially attractive. It would be in the interests of the utility to make such a model-referenced decision support method generally available. The approach is considered in relation to the recent Hinkley Point C public enquiry for a new nuclear power plant in the UK. (Author).

  20. Non-adversarial justice and the coroner's court: a proposed therapeutic, restorative, problem-solving model.

    Science.gov (United States)

    King, Michael S

    2008-12-01

    Increasingly courts are using new approaches that promote a more comprehensive resolution of legal problems, minimise any negative effects that legal processes have on participant wellbeing and/or that use legal processes to promote participant wellbeing. Therapeutic jurisprudence, restorative justice, mediation and problem-solving courts are examples. This article suggests a model for the use of these processes in the coroner's court to minimise negative effects of coroner's court processes on the bereaved and to promote a more comprehensive resolution of matters at issue, including the determination of the cause of death and the public health and safety promotion role of the coroner.

  1. Adversarial Feature Selection Against Evasion Attacks.

    Science.gov (United States)

    Zhang, Fei; Chan, Patrick P K; Biggio, Battista; Yeung, Daniel S; Roli, Fabio

    2016-03-01

    Pattern recognition and machine learning techniques have been increasingly adopted in adversarial settings such as spam, intrusion, and malware detection, although their security against well-crafted attacks that aim to evade detection by manipulating data at test time has not yet been thoroughly assessed. While previous work has been mainly focused on devising adversary-aware classification algorithms to counter evasion attempts, only few authors have considered the impact of using reduced feature sets on classifier security against the same attacks. An interesting, preliminary result is that classifier security to evasion may be even worsened by the application of feature selection. In this paper, we provide a more detailed investigation of this aspect, shedding some light on the security properties of feature selection against evasion attacks. Inspired by previous work on adversary-aware classifiers, we propose a novel adversary-aware feature selection model that can improve classifier security against evasion attacks, by incorporating specific assumptions on the adversary's data manipulation strategy. We focus on an efficient, wrapper-based implementation of our approach, and experimentally validate its soundness on different application examples, including spam and malware detection.

  2. Security force-adversary engagement simulation

    International Nuclear Information System (INIS)

    Bennett, H.A.

    1975-01-01

    A dynamic simulation of a security force-adversary engagement has been developed to obtain a better understanding of the complexities involved in security systems. Factors affecting engagement outcomes were identified and interrelated to represent an ambush of an escorted nuclear fuel truck convoy by an adversary group. Other forms of engagement such as assault and skirmish also can be simulated through suitable parameter changes. The dynamic model can provide a relative evaluation of changes in security force levels, equipment, training, and tactics. Continued application and subsequent refinements of the model are expected to augment the understanding of component interaction within a guard-based security system

  3. Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference

    OpenAIRE

    Bao, Ruying; Liang, Sihang; Wang, Qingcan

    2018-01-01

    Deep neural networks have been demonstrated to be vulnerable to adversarial attacks, where small perturbations are intentionally added to the original inputs to fool the classifier. In this paper, we propose a defense method, Featurized Bidirectional Generative Adversarial Networks (FBGAN), to capture the semantic features of the input and filter the non-semantic perturbation. FBGAN is pre-trained on the clean dataset in an unsupervised manner, adversarially learning a bidirectional mapping b...

  4. Context-Aware Generative Adversarial Privacy

    Directory of Open Access Journals (Sweden)

    Chong Huang

    2017-12-01

    Full Text Available Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often lead to a significant reduction in utility. On the other hand, context-aware privacy solutions, such as information theoretic privacy, achieve an improved privacy-utility tradeoff, but assume that the data holder has access to dataset statistics. We circumvent these limitations by introducing a novel context-aware privacy framework called generative adversarial privacy (GAP. GAP leverages recent advancements in generative adversarial networks (GANs to allow the data holder to learn privatization schemes from the dataset itself. Under GAP, learning the privacy mechanism is formulated as a constrained minimax game between two players: a privatizer that sanitizes the dataset in a way that limits the risk of inference attacks on the individuals’ private variables, and an adversary that tries to infer the private variables from the sanitized dataset. To evaluate GAP’s performance, we investigate two simple (yet canonical statistical dataset models: (a the binary data model; and (b the binary Gaussian mixture model. For both models, we derive game-theoretically optimal minimax privacy mechanisms, and show that the privacy mechanisms learned from data (in a generative adversarial fashion match the theoretically optimal ones. This demonstrates that our framework can be easily applied in practice, even in the absence of dataset statistics.

  5. Context-Aware Generative Adversarial Privacy

    Science.gov (United States)

    Huang, Chong; Kairouz, Peter; Chen, Xiao; Sankar, Lalitha; Rajagopal, Ram

    2017-12-01

    Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often lead to a significant reduction in utility. On the other hand, context-aware privacy solutions, such as information theoretic privacy, achieve an improved privacy-utility tradeoff, but assume that the data holder has access to dataset statistics. We circumvent these limitations by introducing a novel context-aware privacy framework called generative adversarial privacy (GAP). GAP leverages recent advancements in generative adversarial networks (GANs) to allow the data holder to learn privatization schemes from the dataset itself. Under GAP, learning the privacy mechanism is formulated as a constrained minimax game between two players: a privatizer that sanitizes the dataset in a way that limits the risk of inference attacks on the individuals' private variables, and an adversary that tries to infer the private variables from the sanitized dataset. To evaluate GAP's performance, we investigate two simple (yet canonical) statistical dataset models: (a) the binary data model, and (b) the binary Gaussian mixture model. For both models, we derive game-theoretically optimal minimax privacy mechanisms, and show that the privacy mechanisms learned from data (in a generative adversarial fashion) match the theoretically optimal ones. This demonstrates that our framework can be easily applied in practice, even in the absence of dataset statistics.

  6. Strategies to Enhance Online Learning Teams. Team Assessment and Diagnostics Instrument and Agent-based Modeling

    Science.gov (United States)

    2010-08-12

    Strategies to Enhance Online Learning Teams Team Assessment and Diagnostics Instrument and Agent-based Modeling Tristan E. Johnson, Ph.D. Learning ...REPORT DATE AUG 2010 2. REPORT TYPE 3. DATES COVERED 00-00-2010 to 00-00-2010 4. TITLE AND SUBTITLE Strategies to Enhance Online Learning ...TeamsTeam Strategies to Enhance Online Learning Teams: Team Assessment and Diagnostics Instrument and Agent-based Modeling 5a. CONTRACT NUMBER 5b. GRANT

  7. Understanding and Modeling Teams As Dynamical Systems

    Science.gov (United States)

    Gorman, Jamie C.; Dunbar, Terri A.; Grimm, David; Gipson, Christina L.

    2017-01-01

    By its very nature, much of teamwork is distributed across, and not stored within, interdependent people working toward a common goal. In this light, we advocate a systems perspective on teamwork that is based on general coordination principles that are not limited to cognitive, motor, and physiological levels of explanation within the individual. In this article, we present a framework for understanding and modeling teams as dynamical systems and review our empirical findings on teams as dynamical systems. We proceed by (a) considering the question of why study teams as dynamical systems, (b) considering the meaning of dynamical systems concepts (attractors; perturbation; synchronization; fractals) in the context of teams, (c) describe empirical studies of team coordination dynamics at the perceptual-motor, cognitive-behavioral, and cognitive-neurophysiological levels of analysis, and (d) consider the theoretical and practical implications of this approach, including new kinds of explanations of human performance and real-time analysis and performance modeling. Throughout our discussion of the topics we consider how to describe teamwork using equations and/or modeling techniques that describe the dynamics. Finally, we consider what dynamical equations and models do and do not tell us about human performance in teams and suggest future research directions in this area. PMID:28744231

  8. Model of Team Organization and Behavior and Team Description Method

    Science.gov (United States)

    1984-10-01

    PERFORMING ORG& REPORT’ NUMBER 7.AUTHIOR(&) 0. CONTRACT OR GRANT NUMOSR(ej J. Thomas Roth Rohn J. Hritz HDA 903-81-C-0198: VEa Donald W. McGill 9...team descriptions are included, acid procedures for data recording are provided. 4q-4 4 iv, G OP S• . . • ,," $1 . . ’ __ _ _ _ ’ / . • , Utilization...Listing of thi! number acid identification of the roles adopted by team members in the actual team structure, along with KOS and primary equipment

  9. Interactions of Team Mental Models and Monitoring Behaviors Predict Team Performance in Simulated Anesthesia Inductions

    Science.gov (United States)

    Burtscher, Michael J.; Kolbe, Michaela; Wacker, Johannes; Manser, Tanja

    2011-01-01

    In the present study, we investigated how two team mental model properties (similarity vs. accuracy) and two forms of monitoring behavior (team vs. systems) interacted to predict team performance in anesthesia. In particular, we were interested in whether the relationship between monitoring behavior and team performance was moderated by team…

  10. Factors Contributing to Research Team Effectiveness: Testing a Model of Team Effectiveness in an Academic Setting

    Science.gov (United States)

    Omar, Zoharah; Ahmad, Aminah

    2014-01-01

    Following the classic systems model of inputs, processes, and outputs, this study examined the influence of three input factors, team climate, work overload, and team leadership, on research project team effectiveness as measured by publication productivity, team member satisfaction, and job frustration. This study also examined the mediating…

  11. Generic adversary characteristics: summary report

    International Nuclear Information System (INIS)

    Stewart, J.B. Jr.; Davidson, J.J.; Jones, H.B.; Fulwiler, C.H.; Mullen, S.A.

    1978-07-01

    The adversaries studied were found to be complex, often unpredictable, and dynamic. The adversary typically goes through a complex decision-making process between the time a potential target is identified and the moment the decision to act is made. This study analyzes the adversary characteristics, and the following conclusions are made: one of the least likely methods of attack is an overt armed assault. Terrorists and psychotics depend upon a high degree of personal dedication. No single generic adversary group or individual exhibits strength in every characteristic. Physical danger appears to have some deterrent effect on all adversaries except the psychotics. Organized and professional criminals often try to recruit insiders. Disoriented persons, white-collar criminals, and disgruntled employees tend to operate as insiders. Professional criminals, many terrorist groups, some extremist protest groups, and certain disoriented persons plan carefully before initiating a criminal mission. Organized crime and miscellaneous criminal adversaries rely on deception and ruse to bypass security. After the decision to commit a crime, the resources deployed by terrorists or organized criminals will be a function of their perception of the operational requirements of the crime. The nature of ''threat'' is dynamic; adversary behavior and capability appear to be related to prevailing political, economic, and social conditions

  12. Consequences of team charter quality: Teamwork mental model similarity and team viability in engineering design student teams

    Science.gov (United States)

    Conway Hughston, Veronica

    Since 1996 ABET has mandated that undergraduate engineering degree granting institutions focus on learning outcomes such as professional skills (i.e. solving unstructured problems and working in teams). As a result, engineering curricula were restructured to include team based learning---including team charters. Team charters were diffused into engineering education as one of many instructional activities to meet the ABET accreditation mandates. However, the implementation and execution of team charters into engineering team based classes has been inconsistent and accepted without empirical evidence of the consequences. The purpose of the current study was to investigate team effectiveness, operationalized as team viability, as an outcome of team charter implementation in an undergraduate engineering team based design course. Two research questions were the focus of the study: a) What is the relationship between team charter quality and viability in engineering student teams, and b) What is the relationship among team charter quality, teamwork mental model similarity, and viability in engineering student teams? Thirty-eight intact teams, 23 treatment and 15 comparison, participated in the investigation. Treatment teams attended a team charter lecture, and completed a team charter homework assignment. Each team charter was assessed and assigned a quality score. Comparison teams did not join the lecture, and were not asked to create a team charter. All teams completed each data collection phase: a) similarity rating pretest; b) similarity posttest; and c) team viability survey. Findings indicate that team viability was higher in teams that attended the lecture and completed the charter assignment. Teams with higher quality team charter scores reported higher levels of team viability than teams with lower quality charter scores. Lastly, no evidence was found to support teamwork mental model similarity as a partial mediator of the team charter quality on team viability

  13. A Team Building Model for Software Engineering Courses Term Projects

    Science.gov (United States)

    Sahin, Yasar Guneri

    2011-01-01

    This paper proposes a new model for team building, which enables teachers to build coherent teams rapidly and fairly for the term projects of software engineering courses. Moreover, the model can also be used to build teams for any type of project, if the team member candidates are students, or if they are inexperienced on a certain subject. The…

  14. Cognitive model supported team skill training

    NARCIS (Netherlands)

    Doesburg, W.A. van; Stroomer, S.M.

    2006-01-01

    Complex tasks require coordinated performance by multiple team members. To perform the task effectively each team member must not only master the individual task component but also needs to function in the overall team. To increase team performance, each team member will need to acquire the relevant

  15. Study on dynamic team performance evaluation methodology based on team situation awareness model

    International Nuclear Information System (INIS)

    Kim, Suk Chul

    2005-02-01

    The purpose of this thesis is to provide a theoretical framework and its evaluation methodology of team dynamic task performance of operating team at nuclear power plant under the dynamic and tactical environment such as radiological accident. This thesis suggested a team dynamic task performance evaluation model so called team crystallization model stemmed from Endsely's situation awareness model being comprised of four elements: state, information, organization, and orientation and its quantification methods using system dynamics approach and a communication process model based on a receding horizon control approach. The team crystallization model is a holistic approach for evaluating the team dynamic task performance in conjunction with team situation awareness considering physical system dynamics and team behavioral dynamics for a tactical and dynamic task at nuclear power plant. This model provides a systematic measure to evaluate time-dependent team effectiveness or performance affected by multi-agents such as plant states, communication quality in terms of transferring situation-specific information and strategies for achieving the team task goal at given time, and organizational factors. To demonstrate the applicability of the proposed model and its quantification method, the case study was carried out using the data obtained from a full-scope power plant simulator for 1,000MWe pressurized water reactors with four on-the-job operating groups and one expert group who knows accident sequences. Simulated results team dynamic task performance with reference key plant parameters behavior and team-specific organizational center of gravity and cue-and-response matrix illustrated good symmetry with observed value. The team crystallization model will be useful and effective tool for evaluating team effectiveness in terms of recruiting new operating team for new plant as cost-benefit manner. Also, this model can be utilized as a systematic analysis tool for

  16. Study on dynamic team performance evaluation methodology based on team situation awareness model

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Suk Chul

    2005-02-15

    The purpose of this thesis is to provide a theoretical framework and its evaluation methodology of team dynamic task performance of operating team at nuclear power plant under the dynamic and tactical environment such as radiological accident. This thesis suggested a team dynamic task performance evaluation model so called team crystallization model stemmed from Endsely's situation awareness model being comprised of four elements: state, information, organization, and orientation and its quantification methods using system dynamics approach and a communication process model based on a receding horizon control approach. The team crystallization model is a holistic approach for evaluating the team dynamic task performance in conjunction with team situation awareness considering physical system dynamics and team behavioral dynamics for a tactical and dynamic task at nuclear power plant. This model provides a systematic measure to evaluate time-dependent team effectiveness or performance affected by multi-agents such as plant states, communication quality in terms of transferring situation-specific information and strategies for achieving the team task goal at given time, and organizational factors. To demonstrate the applicability of the proposed model and its quantification method, the case study was carried out using the data obtained from a full-scope power plant simulator for 1,000MWe pressurized water reactors with four on-the-job operating groups and one expert group who knows accident sequences. Simulated results team dynamic task performance with reference key plant parameters behavior and team-specific organizational center of gravity and cue-and-response matrix illustrated good symmetry with observed value. The team crystallization model will be useful and effective tool for evaluating team effectiveness in terms of recruiting new operating team for new plant as cost-benefit manner. Also, this model can be utilized as a systematic analysis tool for

  17. Continuous Competence Development Model for Teacher Teams

    DEFF Research Database (Denmark)

    Weitze, Charlotte Lærke

    2014-01-01

    "This paper presents the development of the IT‐Pedagogical Think Tank for Teacher Teams (ITP4T), a continuous competence development model. The model was co‐designed following a design‐based research approach with teachers from VUC Storstrøm’s (VUC) Global Classroom (GC), an innovative hybrid...... to create their own continuous competence development. This article describes how and why the different components of the model were developed in response to the teachers’ challenges. Such challenges included lack of time, competence and support from the educational organisation to innovate learning design...

  18. An Integrative Model for Understanding Team Organizational Citizenship Behavior: Its Antecedents and Consequences for Educational Teams

    Science.gov (United States)

    Somech, Anit; Khotaba, Soha

    2017-01-01

    Purpose: The purpose of this paper is to use a model to broaden the understanding of the organizational citizenship behavior (OCB) phenomenon in educational teams and examines team OCB's mediating role in the relation of the contextual variables of team justice climate (distributive justice, procedural justice, interpersonal justice) to team…

  19. Grasping the Dynamic Complexity of Team Learning: An Integrative Model for Effective Team Learning in Organisations

    Science.gov (United States)

    Decuyper, Stefan; Dochy, Filip; Van den Bossche, Piet

    2010-01-01

    In this article we present an integrative model of team learning. Literature shows that effective team learning requires the establishment of a dialogical space amongst team members, in which communicative behaviours such as "sharing", "co-construction" and "constructive conflict" are balanced. However, finding this balance is not enough.…

  20. Leader emotional intelligence, transformational leadership, trust and team commitment: Testing a model within a team context

    Directory of Open Access Journals (Sweden)

    Anton F. Schlechter

    2008-06-01

    Full Text Available This exploratory study tested a model within a team context consisting of transformational-leadership behaviour, team-leader emotional intelligence, trust (both in the team leader and in the team members and team commitment. It was conducted within six manufacturing plants, with 25 teams participating. Of the 320 surveys distributed to these teams, 178 were received (which equals a 56% response rate. The surveys consisted of the multi-factor leadership questionnaire (MLQ, the Swinburne University emotional intelligence test (SUEIT, the organisational-commitment scale (OCS (adapted for team commitment and the workplace trust survey (WTS. The validity of these scales was established using exploratory factor analysis (EFA and confrmatory factor analysis (CFA. The Cronbach alpha was used to assess the reliability of the scales. The model was tested using structural equation modelling (SEM; an acceptable level of model ft was found. Signifcant positive relationships were further found among all the constructs. Such an integrated model has not been tested in a team context before and the positive fndings therefore add to existing teamwork literature. The fnding that transformational leadership and leader emotional intelligence are positively related to team commitment and trust further emphasises the importance of effective leadership behaviour in team dynamics and performance.

  1. Towards Stable Adversarial Feature Learning for LiDAR based Loop Closure Detection

    OpenAIRE

    Xu, Lingyun; Yin, Peng; Luo, Haibo; Liu, Yunhui; Han, Jianda

    2017-01-01

    Stable feature extraction is the key for the Loop closure detection (LCD) task in the simultaneously localization and mapping (SLAM) framework. In our paper, the feature extraction is operated by using a generative adversarial networks (GANs) based unsupervised learning. GANs are powerful generative models, however, GANs based adversarial learning suffers from training instability. We find that the data-code joint distribution in the adversarial learning is a more complex manifold than in the...

  2. The Sznajd Model with Team Work

    Science.gov (United States)

    Li, Hong-Jun; Lin, Lu-Zi; Sun, He; He, Ming-Feng

    In 2000, Sznajd-weron and Sznajd introduced a model for the simulation of a closed democratic community with a two-party system, and it is found that a closed community has to evolve either to a dictatorship or a stalemate state. In this paper, we continued to study on this model. All the neighboring individuals holding the same opinion is defined as a team, which will influence its nearest neighbor's decision and realize the opinion evolution. After some time-steps, a steady state appeared and the stalemate state in original model is eliminated. Moreover, the demand of time-steps has decreased dramatically. In addition, we also analyzed the effect of the various dispersal degree of the initial opinion on the opinion converging at the probability of one steady state. Finally we analyzed the effect of noise on convergence and found that the ability of anti-noise was increased about 1000 times compared with Sznajd model.

  3. Exploring Social Structures in Extended Team Model

    DEFF Research Database (Denmark)

    Zahedi, Mansooreh; Ali Babar, Muhammad

    2013-01-01

    Extended Team Model (ETM) as a type of offshore outsourcing is increasingly becoming popular mode of Global Software Development (GSD). There is little knowledge about the social structures in ETM and their impact on collaboration. Within a large interdisciplinary project to develop the next...... generation of GSD technologies, we are exploring the role of social structures to support collaboration. This paper reports some details of our research design and initial findings about the mechanisms to support social structures and their impact on collaboration in an ETM....

  4. TEAM.

    Science.gov (United States)

    National Highway Traffic Safety Administration (DOT), Washington, DC.

    This document presents materials covering the television campaign against drunk driving called "TEAM" (Techniques for Effective Alcohol Management). It is noted that TEAM's purpose is to promote effective alcohol management in public facilities and other establishments that serve alcoholic beverages. TEAM sponsors are listed, including…

  5. On multi-team predator-prey models

    International Nuclear Information System (INIS)

    Elettreby, M.F.; Saker, S.H.; Ahmed, E.

    2005-05-01

    Many creatures form teams. This has, at least, two main advantages: the first is the improvement in foraging, since looking for food in a team is more efficient than doing it alone. The second is that living in a team reduces predation risk due to early spotting of predators and that existing in a team gives a higher probability that the predator will attack another member of the team. In this paper models are given where two teams of predators interact with two teams of preys. The teams of each group (predators or preys) help each other. In this paper we propose three different versions of the multi-team predator prey model. We study the equilibrium solutions, the conditions of their local asymptotic stability, persistence and the global stability of the solution of one of the models. Some numerical simulations are done. (author)

  6. Exploring team working in dentistry using a process model of team effectiveness

    OpenAIRE

    Willcocks, Stephen George

    2018-01-01

    This article explores team working in the context of dentistry in the UK. It uses an input-process-output model of team effectiveness as a framework to analyse the key issues and determine a possible way forward. The article outlines possible barriers to effective team working revealed by the application of this model. It is argued that collaborative working is important and may be facilitated by shared leadership. It discusses the implications of this and how this may be developed.

  7. Deep Learning and Music Adversaries

    DEFF Research Database (Denmark)

    Kereliuk, Corey Mose; Sturm, Bob L.; Larsen, Jan

    2015-01-01

    the minimal perturbation of the input image such that the system misclassifies it with high confidence. We adapt this approach to construct and deploy an adversary of deep learning systems applied to music content analysis. In our case, however, the system inputs are magnitude spectral frames, which require...

  8. Cohesion, team mental models, and collective efficacy: towards an integrated framework of team dynamics in sport.

    Science.gov (United States)

    Filho, Edson; Tenenbaum, Gershon; Yang, Yanyun

    2015-01-01

    A nomological network on team dynamics in sports consisting of a multiframework perspective is introduced and tested. The aim was to explore the interrelationship among cohesion, team mental models (TMMs), collective efficacy (CE) and perceived performance potential (PPP). Three hundred and forty college-aged soccer players representing 17 different teams (8 female and 9 male) participated in the study. They responded to surveys on team cohesion, TMMs, CE and PPP. Results are congruent with the theoretical conceptualisation of a parsimonious view of team dynamics in sports. Specifically, cohesion was found to be an exogenous variable predicting both TMMs and CE beliefs. TMMs and CE were correlated and predicted PPP, which in turn accounted for 59% of the variance of objective performance scores as measured by teams' season record. From a theoretical standpoint, findings resulted in a parsimonious view of team dynamics, which may represent an initial step towards clarifying the epistemological roots and nomological network of various team-level properties. From an applied standpoint, results suggest that team expertise starts with the establishment of team cohesion. Following the establishment of cohesiveness, teammates are able to advance team-related schemas and a collective sense of confidence. Limitations and key directions for future research are outlined.

  9. Cascading Generative Adversarial Networks for Targeted

    KAUST Repository

    Hamdi, Abdullah

    2018-01-01

    Abundance of labelled data played a crucial role in the recent developments in computer vision, but that faces problems like scalability and transferability to the wild. One alternative approach is to utilize the data without labels, i.e. unsupervised learning, in learning valuable information and put it in use to tackle vision problems. Generative Adversarial Networks (GANs) have gained momentum for their ability to model image distributions in unsupervised manner. They learn to emulate the training set and that enables sampling from that domain and using the knowledge learned for useful applications. Several methods proposed enhancing GANs, including regularizing the loss with some feature matching. We seek to push GANs beyond the data in the training and try to explore unseen territory in the image manifold. We first propose a new regularizer for GAN based on K-Nearest Neighbor (K-NN) selective feature matching to a target set Y in high-level feature space, during the adversarial training of GAN on the base set X, and we call this novel model K-GAN. We show that minimizing the added term follows from cross-entropy minimization between the distributions of GAN and set Y. Then, we introduce a cascaded framework for GANs that try to address the task of imagining a new distribution that combines the base set X and target set Y by cascading sampling GANs with translation GANs, and we dub the cascade of such GANs as the Imaginative Adversarial Network (IAN). Several cascades are trained on a collected dataset Zoo-Faces and generated innovative samples are shown, including from K-GAN cascade. We conduct an objective and subjective evaluation for different IAN setups in the addressed task of generating innovative samples and we show the effect of regularizing GAN on different scores. We conclude with some useful applications for these IANs, like multi-domain manifold traversing.

  10. Cascading Generative Adversarial Networks for Targeted

    KAUST Repository

    Hamdi, Abdullah

    2018-04-09

    Abundance of labelled data played a crucial role in the recent developments in computer vision, but that faces problems like scalability and transferability to the wild. One alternative approach is to utilize the data without labels, i.e. unsupervised learning, in learning valuable information and put it in use to tackle vision problems. Generative Adversarial Networks (GANs) have gained momentum for their ability to model image distributions in unsupervised manner. They learn to emulate the training set and that enables sampling from that domain and using the knowledge learned for useful applications. Several methods proposed enhancing GANs, including regularizing the loss with some feature matching. We seek to push GANs beyond the data in the training and try to explore unseen territory in the image manifold. We first propose a new regularizer for GAN based on K-Nearest Neighbor (K-NN) selective feature matching to a target set Y in high-level feature space, during the adversarial training of GAN on the base set X, and we call this novel model K-GAN. We show that minimizing the added term follows from cross-entropy minimization between the distributions of GAN and set Y. Then, we introduce a cascaded framework for GANs that try to address the task of imagining a new distribution that combines the base set X and target set Y by cascading sampling GANs with translation GANs, and we dub the cascade of such GANs as the Imaginative Adversarial Network (IAN). Several cascades are trained on a collected dataset Zoo-Faces and generated innovative samples are shown, including from K-GAN cascade. We conduct an objective and subjective evaluation for different IAN setups in the addressed task of generating innovative samples and we show the effect of regularizing GAN on different scores. We conclude with some useful applications for these IANs, like multi-domain manifold traversing.

  11. Advanced Team Decision Making: A Developmental Model

    Science.gov (United States)

    1992-08-03

    role - right wing, center, goalie - but as they set up plays and bring the STRONG puck down the ice, those individuals begin to function TEAM... pulled the team member’s attention away from assigned work - Unwise use of a member’s expertise in designating roles or functions In these cases, advanced

  12. Decorrelated Jet Substructure Tagging using Adversarial Neural Networks

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    We describe a strategy for constructing a neural network jet substructure tagger which powerfully discriminates boosted decay signals while remaining largely uncorrelated with the jet mass. This reduces the impact of systematic uncertainties in background modeling while enhancing signal purity, resulting in improved discovery significance relative to existing taggers. The network is trained using an adversarial strategy, resulting in a tagger that learns to balance classification accuracy with decorrelation. As a benchmark scenario, we consider the case where large-radius jets originating from a boosted Z' decay are discriminated from a background of nonresonant quark and gluon jets. We show that in the presence of systematic uncertainties on the background rate, our adversarially-trained, decorrelated tagger considerably outperforms a conventionally trained neural network, despite having a slightly worse signal-background separation power. We generalize the adversarial training technique to include a paramet...

  13. On the Formal Modeling of Games of Language and Adversarial Argumentation : A Logic-Based Artificial Intelligence Approach

    OpenAIRE

    Eriksson Lundström, Jenny S. Z.

    2009-01-01

    Argumentation is a highly dynamical and dialectical process drawing on human cognition. Successful argumentation is ubiquitous to human interaction. Comprehensive formal modeling and analysis of argumentation presupposes a dynamical approach to the following phenomena: the deductive logic notion, the dialectical notion and the cognitive notion of justified belief. For each step of an argumentation these phenomena form networks of rules which determine the propositions to be allowed to make se...

  14. Adversarial Reinforcement Learning in a Cyber Security Simulation}

    NARCIS (Netherlands)

    Elderman, Richard; Pater, Leon; Thie, Albert; Drugan, Madalina; Wiering, Marco

    2017-01-01

    This paper focuses on cyber-security simulations in networks modeled as a Markov game with incomplete information and stochastic elements. The resulting game is an adversarial sequential decision making problem played with two agents, the attacker and defender. The two agents pit one reinforcement

  15. Generative Adversarial Networks: An Overview

    Science.gov (United States)

    Creswell, Antonia; White, Tom; Dumoulin, Vincent; Arulkumaran, Kai; Sengupta, Biswa; Bharath, Anil A.

    2018-01-01

    Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this through deriving backpropagation signals through a competitive process involving a pair of networks. The representations that can be learned by GANs may be used in a variety of applications, including image synthesis, semantic image editing, style transfer, image super-resolution and classification. The aim of this review paper is to provide an overview of GANs for the signal processing community, drawing on familiar analogies and concepts where possible. In addition to identifying different methods for training and constructing GANs, we also point to remaining challenges in their theory and application.

  16. Effects of two types of intra-team feedback on developing a shared mental model in Command & Control teams

    NARCIS (Netherlands)

    Rasker, P.C.; Post, W.M.; Schraagen, J.M.C.

    2000-01-01

    In two studies, the effect of two types of intra-team feedback on developing a shared mental model in Command & Control teams was investigated. A distinction is made between performance monitoring and team self-correction. Performance monitoring is the ability of team members to monitor each other's

  17. Team performance modeling for HRA in dynamic situations

    International Nuclear Information System (INIS)

    Shu Yufei; Furuta, Kazuo; Kondo, Shunsuke

    2002-01-01

    This paper proposes a team behavior network model that can simulate and analyze response of an operator team to an incident in a dynamic and context-sensitive situation. The model is composed of four sub-models, which describe the context of team performance. They are task model, event model, team model and human-machine interface model. Each operator demonstrates aspects of his/her specific cognitive behavior and interacts with other operators and the environment in order to deal with an incident. Individual human factors, which determine the basis of communication and interaction between individuals, and cognitive process of an operator, such as information acquisition, state-recognition, decision-making and action execution during development of an event scenario are modeled. A case of feed and bleed operation in pressurized water reactor under an emergency situation was studied and the result was compared with an experiment to check the validity of the proposed model

  18. A Model of Framing in Design Teams

    Science.gov (United States)

    Zahedi, Mithra; Heaton, Lorna

    2017-01-01

    How do ideas evolve in the context of collaborative design? This research explores the framing strategies and tools involved in the co-construction of a shared understanding in the early stages of a design project. We observed a team of four industrial design students working to design a pop-up shop. We found that, while the key design elements of…

  19. An Extended Chemical Plant Environmental Protection Game on Addressing Uncertainties of Human Adversaries.

    Science.gov (United States)

    Zhu, Zhengqiu; Chen, Bin; Qiu, Sihang; Wang, Rongxiao; Chen, Feiran; Wang, Yiping; Qiu, Xiaogang

    2018-03-27

    Chemical production activities in industrial districts pose great threats to the surrounding atmospheric environment and human health. Therefore, developing appropriate and intelligent pollution controlling strategies for the management team to monitor chemical production processes is significantly essential in a chemical industrial district. The literature shows that playing a chemical plant environmental protection (CPEP) game can force the chemical plants to be more compliant with environmental protection authorities and reduce the potential risks of hazardous gas dispersion accidents. However, results of the current literature strictly rely on several perfect assumptions which rarely hold in real-world domains, especially when dealing with human adversaries. To address bounded rationality and limited observability in human cognition, the CPEP game is extended to generate robust schedules of inspection resources for inspection agencies. The present paper is innovative on the following contributions: (i) The CPEP model is extended by taking observation frequency and observation cost of adversaries into account, and thus better reflects the industrial reality; (ii) Uncertainties such as attackers with bounded rationality, attackers with limited observation and incomplete information (i.e., the attacker's parameters) are integrated into the extended CPEP model; (iii) Learning curve theory is employed to determine the attacker's observability in the game solver. Results in the case study imply that this work improves the decision-making process for environmental protection authorities in practical fields by bringing more rewards to the inspection agencies and by acquiring more compliance from chemical plants.

  20. An Extended Chemical Plant Environmental Protection Game on Addressing Uncertainties of Human Adversaries

    Science.gov (United States)

    Wang, Rongxiao; Chen, Feiran; Wang, Yiping; Qiu, Xiaogang

    2018-01-01

    Chemical production activities in industrial districts pose great threats to the surrounding atmospheric environment and human health. Therefore, developing appropriate and intelligent pollution controlling strategies for the management team to monitor chemical production processes is significantly essential in a chemical industrial district. The literature shows that playing a chemical plant environmental protection (CPEP) game can force the chemical plants to be more compliant with environmental protection authorities and reduce the potential risks of hazardous gas dispersion accidents. However, results of the current literature strictly rely on several perfect assumptions which rarely hold in real-world domains, especially when dealing with human adversaries. To address bounded rationality and limited observability in human cognition, the CPEP game is extended to generate robust schedules of inspection resources for inspection agencies. The present paper is innovative on the following contributions: (i) The CPEP model is extended by taking observation frequency and observation cost of adversaries into account, and thus better reflects the industrial reality; (ii) Uncertainties such as attackers with bounded rationality, attackers with limited observation and incomplete information (i.e., the attacker’s parameters) are integrated into the extended CPEP model; (iii) Learning curve theory is employed to determine the attacker’s observability in the game solver. Results in the case study imply that this work improves the decision-making process for environmental protection authorities in practical fields by bringing more rewards to the inspection agencies and by acquiring more compliance from chemical plants. PMID:29584679

  1. An Extended Chemical Plant Environmental Protection Game on Addressing Uncertainties of Human Adversaries

    Directory of Open Access Journals (Sweden)

    Zhengqiu Zhu

    2018-03-01

    Full Text Available Chemical production activities in industrial districts pose great threats to the surrounding atmospheric environment and human health. Therefore, developing appropriate and intelligent pollution controlling strategies for the management team to monitor chemical production processes is significantly essential in a chemical industrial district. The literature shows that playing a chemical plant environmental protection (CPEP game can force the chemical plants to be more compliant with environmental protection authorities and reduce the potential risks of hazardous gas dispersion accidents. However, results of the current literature strictly rely on several perfect assumptions which rarely hold in real-world domains, especially when dealing with human adversaries. To address bounded rationality and limited observability in human cognition, the CPEP game is extended to generate robust schedules of inspection resources for inspection agencies. The present paper is innovative on the following contributions: (i The CPEP model is extended by taking observation frequency and observation cost of adversaries into account, and thus better reflects the industrial reality; (ii Uncertainties such as attackers with bounded rationality, attackers with limited observation and incomplete information (i.e., the attacker’s parameters are integrated into the extended CPEP model; (iii Learning curve theory is employed to determine the attacker’s observability in the game solver. Results in the case study imply that this work improves the decision-making process for environmental protection authorities in practical fields by bringing more rewards to the inspection agencies and by acquiring more compliance from chemical plants.

  2. Mental health treatment teams and leadership: a systems model.

    Science.gov (United States)

    Yank, G R; Barber, J W; Spradlin, W W

    1994-10-01

    Mental health treatment teams are living systems at the group level and comprise key productive subsystems of organizations providing mental health care. Effective treatment teams, like effective organizations, are anticipatory systems that contain subsystems that model and predict future system and environmental conditions and enable responses that increase system viability. A systems analysis of treatment teams highlights their potential instability due to their tendencies to regress toward dysfunctional partial systems and their active maintenance in nonequilibrium steady states with their organizational and external environments. Team subsystems are analyzed from the viewpoints of system processes and also with regard to individuals and their roles. Boundary processes are central to effective team functioning, assure constancy of team membership, and regulate the team's interfaces with its parent agency and with the external environment. Various causes and forms of disturbed information processing within hierarchical organizations are examined, and their effects at the treatment team level are discussed. The conclusion of the discussion focuses on team leadership and how leadership expands upon the concept of the decider subsystem to include role and personal factors to the team's leaders, and functions that are anticipatory and integrative in nature. Effective leaders must set appropriate thresholds for feedback regulation processes, and balance several pairs of seemingly opposing forces, including homeostasis and development, role differentiation and role overlap, and personal accountability and empowerment of others.

  3. A Normative Model of Work Team Effectiveness

    Science.gov (United States)

    1983-11-01

    aspect of group design that often has been overlooked by both scholars and managers interested in work team effectiveness. Organizatinal ContextII...with other groups or higher management. Yet it is not always a good idea to decide in advance about the leadership structure of a work group. If a group...has been designed well and helped to begin exploring the group norms and member roles it wishes to have, questions of internal leadership should

  4. Technical discussions on Emissions and Atmospheric Modeling (TEAM)

    Science.gov (United States)

    Frost, G. J.; Henderson, B.; Lefer, B. L.

    2017-12-01

    A new informal activity, Technical discussions on Emissions and Atmospheric Modeling (TEAM), aims to improve the scientific understanding of emissions and atmospheric processes by leveraging resources through coordination, communication and collaboration between scientists in the Nation's environmental agencies. TEAM seeks to close information gaps that may be limiting emission inventory development and atmospheric modeling and to help identify related research areas that could benefit from additional coordinated efforts. TEAM is designed around webinars and in-person meetings on particular topics that are intended to facilitate active and sustained informal communications between technical staff at different agencies. The first series of TEAM webinars focuses on emissions of nitrogen oxides, a criteria pollutant impacting human and ecosystem health and a key precursor of ozone and particulate matter. Technical staff at Federal agencies with specific interests in emissions and atmospheric modeling are welcome to participate in TEAM.

  5. A Kinetic Model Describing Injury-Burden in Team Sports.

    Science.gov (United States)

    Fuller, Colin W

    2017-12-01

    Injuries in team sports are normally characterised by the incidence, severity, and location and type of injuries sustained: these measures, however, do not provide an insight into the variable injury-burden experienced during a season. Injury burden varies according to the team's match and training loads, the rate at which injuries are sustained and the time taken for these injuries to resolve. At the present time, this time-based variation of injury burden has not been modelled. To develop a kinetic model describing the time-based injury burden experienced by teams in elite team sports and to demonstrate the model's utility. Rates of injury were quantified using a large eight-season database of rugby injuries (5253) and exposure (60,085 player-match-hours) in English professional rugby. Rates of recovery from injury were quantified using time-to-recovery analysis of the injuries. The kinetic model proposed for predicting a team's time-based injury burden is based on a composite rate equation developed from the incidence of injury, a first-order rate of recovery from injury and the team's playing load. The utility of the model was demonstrated by examining common scenarios encountered in elite rugby. The kinetic model developed describes and predicts the variable injury-burden arising from match play during a season of rugby union based on the incidence of match injuries, the rate of recovery from injury and the playing load. The model is equally applicable to other team sports and other scenarios.

  6. Coupled generative adversarial stacked Auto-encoder: CoGASA.

    Science.gov (United States)

    Kiasari, Mohammad Ahangar; Moirangthem, Dennis Singh; Lee, Minho

    2018-04-01

    Coupled Generative Adversarial Network (CoGAN) was recently introduced in order to model a joint distribution of a multi modal dataset. The CoGAN model lacks the capability to handle noisy data as well as it is computationally expensive and inefficient for practical applications such as cross-domain image transformation. In this paper, we propose a new method, named the Coupled Generative Adversarial Stacked Auto-encoder (CoGASA), to directly transfer data from one domain to another domain with robustness to noise in the input data as well to as reduce the computation time. We evaluate the proposed model using MNIST and the Large-scale CelebFaces Attributes (CelebA) datasets, and the results demonstrate a highly competitive performance. Our proposed models can easily transfer images into the target domain with minimal effort. Copyright © 2018 Elsevier Ltd. All rights reserved.

  7. C-RNN-GAN: Continuous recurrent neural networks with adversarial training

    OpenAIRE

    Mogren, Olof

    2016-01-01

    Generative adversarial networks have been proposed as a way of efficiently training deep generative neural networks. We propose a generative adversarial model that works on continuous sequential data, and apply it by training it on a collection of classical music. We conclude that it generates music that sounds better and better as the model is trained, report statistics on generated music, and let the reader judge the quality by downloading the generated songs.

  8. A conceptual model to improve performance in virtual teams

    Directory of Open Access Journals (Sweden)

    Shopee Dube

    2016-09-01

    Full Text Available Background: The vast improvement in communication technologies and sophisticated project management tools, methods and techniques has allowed geographically and culturally diverse groups to operate and function in a virtual environment. To succeed in this virtual environment where time and space are becoming increasingly irrelevant, organisations must define new ways of implementing initiatives. This virtual environment phenomenon has brought about the formation of virtual project teams that allow organisations to harness the skills and knowhow of the best resources, irrespective of their location. Objectives: The aim of this article was to investigate performance criteria and develop a conceptual model which can be applied to enhance the success of virtual project teams. There are no clear guidelines of the performance criteria in managing virtual project teams. Method: A qualitative research methodology was used in this article. The purpose of content analysis was to explore the literature to understand the concept of performance in virtual project teams and to summarise the findings of the literature reviewed. Results: The research identified a set of performance criteria for the virtual project teams as follows: leadership, trust, communication, team cooperation, reliability, motivation, comfort and social interaction. These were used to conceptualise the model. Conclusion: The conceptual model can be used in a holistic way to determine the overall performance of the virtual project team, but each factor can be analysed individually to determine the impact on the overall performance. The knowledge of performance criteria for virtual project teams could aid project managers in enhancing the success of these teams and taking a different approach to better manage and coordinate them.

  9. Psychotherapy with schizophrenics in team groups: a systems model.

    Science.gov (United States)

    Beeber, A R

    1991-01-01

    This paper focuses on the treatment of patients with schizophrenic disorders employing the Team Group model. The advantages and disadvantages of the Team Group are presented. Systems theory and principles of group development are applied as a basis for understanding the dynamics of the group in the context at the acute psychiatric unit. Particular problems encountered in treating patients with schizophrenic disorders in this setting are presented. These include: (1) issues of therapist style and technique, (2) basic psychopathology of the schizophrenic disorders, and (3) phase-specific problems associated with the dynamics of the group. Recommendations for therapist interventions are made that may better integrate these patients into the Team Group.

  10. GANViz: A Visual Analytics Approach to Understand the Adversarial Game.

    Science.gov (United States)

    Wang, Junpeng; Gou, Liang; Yang, Hao; Shen, Han-Wei

    2018-06-01

    Generative models bear promising implications to learn data representations in an unsupervised fashion with deep learning. Generative Adversarial Nets (GAN) is one of the most popular frameworks in this arena. Despite the promising results from different types of GANs, in-depth understanding on the adversarial training process of the models remains a challenge to domain experts. The complexity and the potential long-time training process of the models make it hard to evaluate, interpret, and optimize them. In this work, guided by practical needs from domain experts, we design and develop a visual analytics system, GANViz, aiming to help experts understand the adversarial process of GANs in-depth. Specifically, GANViz evaluates the model performance of two subnetworks of GANs, provides evidence and interpretations of the models' performance, and empowers comparative analysis with the evidence. Through our case studies with two real-world datasets, we demonstrate that GANViz can provide useful insight into helping domain experts understand, interpret, evaluate, and potentially improve GAN models.

  11. Intercultural team maturity model: Unity, diversity, capability. Achieving optimal performance when leading \\ud a multicultural project team

    OpenAIRE

    Prabhakar, G. P.; Walker, S.

    2005-01-01

    Our research helps to judge ‘maturity’ as an asset to projects and heightens awareness of situational leadership, using intercultural team maturity levels as a tool for optimal project leadership success.\\ud \\ud This study focuses on exactly how to analyse the team members’ ability to adapt to complex intercultural project environments, using an intercultural team maturity model.

  12. An analytic approach to cyber adversarial dynamics

    Science.gov (United States)

    Sweeney, Patrick; Cybenko, George

    2012-06-01

    To date, cyber security investment by both the government and commercial sectors has been largely driven by the myopic best response of players to the actions of their adversaries and their perception of the adversarial environment. However, current work in applying traditional game theory to cyber operations typically assumes that games exist with prescribed moves, strategies, and payos. This paper presents an analytic approach to characterizing the more realistic cyber adversarial metagame that we believe is being played. Examples show that understanding the dynamic metagame provides opportunities to exploit an adversary's anticipated attack strategy. A dynamic version of a graph-based attack-defend game is introduced, and a simulation shows how an optimal strategy can be selected for success in the dynamic environment.

  13. Scientific method, adversarial system, and technology assessment

    Science.gov (United States)

    Mayo, L. H.

    1975-01-01

    A basic framework is provided for the consideration of the purposes and techniques of scientific method and adversarial systems. Similarities and differences in these two techniques of inquiry are considered with reference to their relevance in the performance of assessments.

  14. End-to-End Adversarial Retinal Image Synthesis.

    Science.gov (United States)

    Costa, Pedro; Galdran, Adrian; Meyer, Maria Ines; Niemeijer, Meindert; Abramoff, Michael; Mendonca, Ana Maria; Campilho, Aurelio

    2018-03-01

    In medical image analysis applications, the availability of the large amounts of annotated data is becoming increasingly critical. However, annotated medical data is often scarce and costly to obtain. In this paper, we address the problem of synthesizing retinal color images by applying recent techniques based on adversarial learning. In this setting, a generative model is trained to maximize a loss function provided by a second model attempting to classify its output into real or synthetic. In particular, we propose to implement an adversarial autoencoder for the task of retinal vessel network synthesis. We use the generated vessel trees as an intermediate stage for the generation of color retinal images, which is accomplished with a generative adversarial network. Both models require the optimization of almost everywhere differentiable loss functions, which allows us to train them jointly. The resulting model offers an end-to-end retinal image synthesis system capable of generating as many retinal images as the user requires, with their corresponding vessel networks, by sampling from a simple probability distribution that we impose to the associated latent space. We show that the learned latent space contains a well-defined semantic structure, implying that we can perform calculations in the space of retinal images, e.g., smoothly interpolating new data points between two retinal images. Visual and quantitative results demonstrate that the synthesized images are substantially different from those in the training set, while being also anatomically consistent and displaying a reasonable visual quality.

  15. Adversarial Reinforcement Learning in a Cyber Security Simulation}

    OpenAIRE

    Elderman, Richard; Pater, Leon; Thie, Albert; Drugan, Madalina; Wiering, Marco

    2017-01-01

    This paper focuses on cyber-security simulations in networks modeled as a Markov game with incomplete information and stochastic elements. The resulting game is an adversarial sequential decision making problem played with two agents, the attacker and defender. The two agents pit one reinforcement learning technique, like neural networks, Monte Carlo learning and Q-learning, against each other and examine their effectiveness against learning opponents. The results showed that Monte Carlo lear...

  16. Quantum capacity under adversarial quantum noise: arbitrarily varying quantum channels

    OpenAIRE

    Ahlswede, Rudolf; Bjelakovic, Igor; Boche, Holger; Noetzel, Janis

    2010-01-01

    We investigate entanglement transmission over an unknown channel in the presence of a third party (called the adversary), which is enabled to choose the channel from a given set of memoryless but non-stationary channels without informing the legitimate sender and receiver about the particular choice that he made. This channel model is called arbitrarily varying quantum channel (AVQC). We derive a quantum version of Ahlswede's dichotomy for classical arbitrarily varying channels. This includes...

  17. Application of Generative Adversarial Networks (GANs) to jet images

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    https://arxiv.org/abs/1701.05927 We provide a bridge between generative modeling in the Machine Learning community and simulated physical processes in High Energy Particle Physics by applying a novel Generative Adversarial Network (GAN) architecture to the production of jet images -- 2D representations of energy depositions from particles interacting with a calorimeter. We propose a simple architecture, the Location-Aware Generative Adversarial Network, that learns to produce realistic radiation patterns from simulated high energy particle collisions. The pixel intensities of GAN-generated images faithfully span over many orders of magnitude and exhibit the desired low-dimensional physical properties (i.e., jet mass, n-subjettiness, etc.). We shed light on limitations, and provide a novel empirical validation of image quality and validity of GAN-produced simulations of the natural world. This work provides a base for further explorations of GANs for use in faster simulation in High Energy Particle Physics.

  18. School Teams up for SSP Functional Models

    Science.gov (United States)

    Pignolet, G.; Lallemand, R.; Celeste, A.; von Muldau, H.

    2002-01-01

    Space Solar Power systems appear increasingly as one of the major solutions to the upcoming global energy crisis, by collecting solar energy in space where this is most easy, and sending it by microwave beam to the surface of the planet, where the need for controlled energy is located. While fully operational systems are still decades away, the need for major development efforts is with us now. Yet, for many decision-makers and for most of the public, SSP often still sounds like science fiction. Six functional demonstration systems, based on the Japanese SPS-2000 concept, have been built as a result of a cooperation between France and Japan, and they are currently used extensively, in Japan, in Europe and in North America, for executive presentations as well as for public exhibitions. There is demand for more models, both for science museums and for use by energy dedicated groups, and a senior high school in La Reunion, France, has picked up the challenge to make the production of such models an integrated practical school project for pre-college students. In December 2001, the administration and the teachers of the school have evaluated the feasibility of the project and eventually taken the go decision for the school year 2002- 2003, when for education purposes a temporary "school business company" will be incorporated with the goal to study and manufacture a limited series of professional quality SSP demonstration models, and to sell them world- wide to institutions and advocacy groups concerned with energy problems and with the environment. The different sections of the school will act as the different services of an integrated business : based on the current existing models, the electronic section will redesign the energy management system and the microwave projector module, while the mechanical section of the school will adapt and re-conceive the whole packaging of the demonstrator. The French and foreign language sections will write up a technical manual for

  19. Evaluating late detection capability against diverse insider adversaries

    International Nuclear Information System (INIS)

    Sicherman, A.

    1987-01-01

    This paper describes a model for evaluating the late (after-the-fact) detection capability of material control and accountability (MCandA) systems against insider theft or diversion of special nuclear material. Potential insider cover-up strategies to defeat activities providing detection (e.g., inventories) are addressed by the model in a tractable manner. For each potential adversary and detection activity, two probabilities are assessed and used to fit the model. The model then computes the probability of detection for activities occurring periodically over time. The model provides insight into MCandA effectiveness and helps identify areas for safeguards improvement. 4 refs., 4 tabs

  20. Generative adversarial networks for brain lesion detection

    Science.gov (United States)

    Alex, Varghese; Safwan, K. P. Mohammed; Chennamsetty, Sai Saketh; Krishnamurthi, Ganapathy

    2017-02-01

    Manual segmentation of brain lesions from Magnetic Resonance Images (MRI) is cumbersome and introduces errors due to inter-rater variability. This paper introduces a semi-supervised technique for detection of brain lesion from MRI using Generative Adversarial Networks (GANs). GANs comprises of a Generator network and a Discriminator network which are trained simultaneously with the objective of one bettering the other. The networks were trained using non lesion patches (n=13,000) from 4 different MR sequences. The network was trained on BraTS dataset and patches were extracted from regions excluding tumor region. The Generator network generates data by modeling the underlying probability distribution of the training data, (PData). The Discriminator learns the posterior probability P (Label Data) by classifying training data and generated data as "Real" or "Fake" respectively. The Generator upon learning the joint distribution, produces images/patches such that the performance of the Discriminator on them are random, i.e. P (Label Data = GeneratedData) = 0.5. During testing, the Discriminator assigns posterior probability values close to 0.5 for patches from non lesion regions, while patches centered on lesion arise from a different distribution (PLesion) and hence are assigned lower posterior probability value by the Discriminator. On the test set (n=14), the proposed technique achieves whole tumor dice score of 0.69, sensitivity of 91% and specificity of 59%. Additionally the generator network was capable of generating non lesion patches from various MR sequences.

  1. A Multilevel Model of Team Cultural Diversity and Creativity: The Role of Climate for Inclusion

    Science.gov (United States)

    Li, Ci-Rong; Lin, Chen-Ju; Tien, Yun-Hsiang; Chen, Chien-Ming

    2017-01-01

    We developed a multi-level model to test how team cultural diversity may relate to team- and individual-level creativity, integrating team diversity research and information-exchange perspective. We proposed that the team climate for inclusion would moderate both the relationship between cultural diversity and team information sharing and between…

  2. David against Goliath: Coping with Adversarial Customers

    DEFF Research Database (Denmark)

    Alajoutsijärvi, Kimmo; Tikkanen, Henrikki; Skaates, Maria Anne

    2001-01-01

    future-oriented relationships with any of them. From the perspective of the SME, this kind of customer behaviour could even be described as harmful, since it often impedes the SME manager's long-term development of his or her business. This makes the balancing of adversarial customer relationships...... an aspect crucial to the long-term survival and success of the particular SME. In this article, we propose a three-fold approach through which SME managers could balance their relationships with this type of customer. Firstly, we review theoretical discussions about business relationships and adversariness......SME managers in many industries face the situation that they have to deal with a few important, large customer organisations that behave in an adversarial manner. These customers pit alternative suppliers against each other in order to achieve the lowest possible price, showing no intent to build...

  3. A Constrained and Versioned Data Model for TEAM Data

    Science.gov (United States)

    Andelman, S.; Baru, C.; Chandra, S.; Fegraus, E.; Lin, K.

    2009-04-01

    The objective of the Tropical Ecology Assessment and Monitoring Network (www.teamnetwork.org) is "To generate real time data for monitoring long-term trends in tropical biodiversity through a global network of TEAM sites (i.e. field stations in tropical forests), providing an early warning system on the status of biodiversity to effectively guide conservation action". To achieve this, the TEAM Network operates by collecting data via standardized protocols at TEAM Sites. The standardized TEAM protocols include the Climate, Vegetation and Terrestrial Vertebrate Protocols. Some sites also implement additional protocols. There are currently 7 TEAM Sites with plans to grow the network to 15 by June 30, 2009 and 50 TEAM Sites by the end of 2010. At each TEAM Site, data is gathered as defined by the protocols and according to a predefined sampling schedule. The TEAM data is organized and stored in a database based on the TEAM spatio-temporal data model. This data model is at the core of the TEAM Information System - it consumes and executes spatio-temporal queries, and analytical functions that are performed on TEAM data, and defines the object data types, relationships and operations that maintain database integrity. The TEAM data model contains object types including types for observation objects (e.g. bird, butterfly and trees), sampling unit, person, role, protocol, site and the relationship of these object types. Each observation data record is a set of attribute values of an observation object and is always associated with a sampling unit, an observation timestamp or time interval, a versioned protocol and data collectors. The operations on the TEAM data model can be classified as read operations, insert operations and update operations. Following are some typical operations: The operation get(site, protocol, [sampling unit block, sampling unit,] start time, end time) returns all data records using the specified protocol and collected at the specified site, block

  4. Ergonomic evaluation model of operational room based on team performance

    Directory of Open Access Journals (Sweden)

    YANG Zhiyi

    2017-05-01

    Full Text Available A theoretical calculation model based on the ergonomic evaluation of team performance was proposed in order to carry out the ergonomic evaluation of the layout design schemes of the action station in a multitasking operational room. This model was constructed in order to calculate and compare the theoretical value of team performance in multiple layout schemes by considering such substantial influential factors as frequency of communication, distance, angle, importance, human cognitive characteristics and so on. An experiment was finally conducted to verify the proposed model under the criteria of completion time and accuracy rating. As illustrated by the experiment results,the proposed approach is conductive to the prediction and ergonomic evaluation of the layout design schemes of the action station during early design stages,and provides a new theoretical method for the ergonomic evaluation,selection and optimization design of layout design schemes.

  5. The Relationship between Shared Mental Models and Task Performance in an Online Team- Based Learning Environment

    Science.gov (United States)

    Johnson, Tristan E.; Lee, Youngmin

    2008-01-01

    In an effort to better understand learning teams, this study examines the effects of shared mental models on team and individual performance. The results indicate that each team's shared mental model changed significantly over the time that subjects participated in team-based learning activities. The results also showed that the shared mental…

  6. Team Collaboration for Command and Control: A Critical Thinking Model

    National Research Council Canada - National Science Library

    Freeman, Jared T; Serfaty, Daniel

    2002-01-01

    ...: team critical thinking. The framework will be used to understand how team members critique and refine team performance, develop measures of performance, and eventually to create training and decision aids that support...

  7. A methodology and supply chain management inspired reference ontology for modeling healthcare teams.

    Science.gov (United States)

    Kuziemsky, Craig E; Yazdi, Sara

    2011-01-01

    Numerous studies and strategic plans are advocating more team based healthcare delivery that is facilitated by information and communication technologies (ICTs). However before we can design ICTs to support teams we need a solid conceptual model of team processes and a methodology for using such a model in healthcare settings. This paper draws upon success in the supply chain management domain to develop a reference ontology of healthcare teams and a methodology for modeling teams to instantiate the ontology in specific settings. This research can help us understand how teams function and how we can design ICTs to support teams.

  8. Challenges and Characteristics of Intelligent Autonomy for Internet of Battle Things in Highly Adversarial Environments

    OpenAIRE

    Kott, Alexander

    2018-01-01

    Numerous, artificially intelligent, networked things will populate the battlefield of the future, operating in close collaboration with human warfighters, and fighting as teams in highly adversarial environments. This paper explores the characteristics, capabilities and intelligence required of such a network of intelligent things and humans - Internet of Battle Things (IOBT). It will experience unique challenges that are not yet well addressed by the current generation of AI and machine lear...

  9. A Contingency Model of Conflict and Team Effectiveness

    Science.gov (United States)

    Shaw, Jason D.; Zhu, Jing; Duffy, Michelle K.; Scott, Kristin L.; Shih, Hsi-An; Susanto, Ely

    2011-01-01

    The authors develop and test theoretical extensions of the relationships of task conflict, relationship conflict, and 2 dimensions of team effectiveness (performance and team-member satisfaction) among 2 samples of work teams in Taiwan and Indonesia. Findings show that relationship conflict moderates the task conflict-team performance…

  10. TEAM-like workshops in related areas: cooperation in modeling for competitive industries

    International Nuclear Information System (INIS)

    Turner, L. R.

    1999-01-01

    The TEAM Workshops originated from problems in fusion research. Based on recent observations regarding automotive modeling, the author asks whether TEAM-like workshops, and the accompanying cooperation among modelers, are of value in areas of economic competition

  11. Resilient Distributed Estimation Through Adversary Detection

    Science.gov (United States)

    Chen, Yuan; Kar, Soummya; Moura, Jose M. F.

    2018-05-01

    This paper studies resilient multi-agent distributed estimation of an unknown vector parameter when a subset of the agents is adversarial. We present and analyze a Flag Raising Distributed Estimator ($\\mathcal{FRDE}$) that allows the agents under attack to perform accurate parameter estimation and detect the adversarial agents. The $\\mathcal{FRDE}$ algorithm is a consensus+innovations estimator in which agents combine estimates of neighboring agents (consensus) with local sensing information (innovations). We establish that, under $\\mathcal{FRDE}$, either the uncompromised agents' estimates are almost surely consistent or the uncompromised agents detect compromised agents if and only if the network of uncompromised agents is connected and globally observable. Numerical examples illustrate the performance of $\\mathcal{FRDE}$.

  12. Generative Adversarial Networks for Improving Face Classification

    OpenAIRE

    Natten, Jonas

    2017-01-01

    Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Facial recognition can be applied in a wide variety of cases, including entertainment purposes and biometric security. In this thesis we take a look at improving the results of an existing facial recognition approach by utilizing generative adversarial networks to improve the existing dataset. The training data was taken from the LFW dataset[4] and was preprocessed using OpenCV[2] for...

  13. Fostering Team Awareness in Earth System Modeling Communities

    Science.gov (United States)

    Easterbrook, S. M.; Lawson, A.; Strong, S.

    2009-12-01

    Existing Global Climate Models are typically managed and controlled at a single site, with varied levels of participation by scientists outside the core lab. As these models evolve to encompass a wider set of earth systems, this central control of the modeling effort becomes a bottleneck. But such models cannot evolve to become fully distributed open source projects unless they address the imbalance in the availability of communication channels: scientists at the core site have access to regular face-to-face communication with one another, while those at remote sites have access to only a subset of these conversations - e.g. formally scheduled teleconferences and user meetings. Because of this imbalance, critical decision making can be hidden from many participants, their code contributions can interact in unanticipated ways, and the community loses awareness of who knows what. We have documented some of these problems in a field study at one climate modeling centre, and started to develop tools to overcome these problems. We report on one such tool, TracSNAP, which analyzes the social network of the scientists contributing code to the model by extracting the data in an existing project code repository. The tool presents the results of this analysis to modelers and model users in a number of ways: recommendation for who has expertise on particular code modules, suggestions for code sections that are related to files being worked on, and visualizations of team communication patterns. The tool is currently available as a plugin for the Trac bug tracking system.

  14. Deep learning, audio adversaries, and music content analysis

    DEFF Research Database (Denmark)

    Kereliuk, Corey Mose; Sturm, Bob L.; Larsen, Jan

    2015-01-01

    We present the concept of adversarial audio in the context of deep neural networks (DNNs) for music content analysis. An adversary is an algorithm that makes minor perturbations to an input that cause major repercussions to the system response. In particular, we design an adversary for a DNN...... that takes as input short-time spectral magnitudes of recorded music and outputs a high-level music descriptor. We demonstrate how this adversary can make the DNN behave in any way with only extremely minor changes to the music recording signal. We show that the adversary cannot be neutralised by a simple...... filtering of the input. Finally, we discuss adversaries in the broader context of the evaluation of music content analysis systems....

  15. Modeling and Analysis of Multidiscipline Research Teams at NASA Langley Research Center: A Systems Thinking Approach

    Science.gov (United States)

    Waszak, Martin R.; Barthelemy, Jean-Francois; Jones, Kenneth M.; Silcox, Richard J.; Silva, Walter A.; Nowaczyk, Ronald H.

    1998-01-01

    Multidisciplinary analysis and design is inherently a team activity due to the variety of required expertise and knowledge. As a team activity, multidisciplinary research cannot escape the issues that affect all teams. The level of technical diversity required to perform multidisciplinary analysis and design makes the teaming aspects even more important. A study was conducted at the NASA Langley Research Center to develop a model of multidiscipline teams that can be used to help understand their dynamics and identify key factors that influence their effectiveness. The study sought to apply the elements of systems thinking to better understand the factors, both generic and Langley-specific, that influence the effectiveness of multidiscipline teams. The model of multidiscipline research teams developed during this study has been valuable in identifying means to enhance team effectiveness, recognize and avoid problem behaviors, and provide guidance for forming and coordinating multidiscipline teams.

  16. Shared Authentic Leadership in Research Teams: Testing a Multiple Mediation Model.

    Science.gov (United States)

    Guenter, Hannes; Gardner, William L; Davis McCauley, Kelly; Randolph-Seng, Brandon; Prabhu, Veena P

    2017-12-01

    Research teams face complex leadership and coordination challenges. We propose shared authentic leadership (SAL) as a timely approach to addressing these challenges. Drawing from authentic and functional leadership theories, we posit a multiple mediation model that suggests three mechanisms whereby SAL influences team effectiveness: shared mental models (SMM), team trust, and team coordination. To test our hypotheses, we collected survey data on leadership and teamwork within 142 research teams that recently published an article in a peer-reviewed management journal. The results indicate team coordination represents the primary mediating mechanism accounting for the relationship between SAL and research team effectiveness. While teams with high trust and SMM felt more successful and were more satisfied, they were less successful in publishing in high-impact journals. We also found the four SAL dimensions (i.e., self-awareness, relational transparency, balanced processing, and internalized moral perspective) to associate differently with team effectiveness.

  17. Protecting Privacy in Shared Photos via Adversarial Examples Based Stealth

    Directory of Open Access Journals (Sweden)

    Yujia Liu

    2017-01-01

    Full Text Available Online image sharing in social platforms can lead to undesired privacy disclosure. For example, some enterprises may detect these large volumes of uploaded images to do users’ in-depth preference analysis for commercial purposes. And their technology might be today’s most powerful learning model, deep neural network (DNN. To just elude these automatic DNN detectors without affecting visual quality of human eyes, we design and implement a novel Stealth algorithm, which makes the automatic detector blind to the existence of objects in an image, by crafting a kind of adversarial examples. It is just like all objects disappear after wearing an “invisible cloak” from the view of the detector. Then we evaluate the effectiveness of Stealth algorithm through our newly defined measurement, named privacy insurance. The results indicate that our scheme has considerable success rate to guarantee privacy compared with other methods, such as mosaic, blur, and noise. Better still, Stealth algorithm has the smallest impact on image visual quality. Meanwhile, we set a user adjustable parameter called cloak thickness for regulating the perturbation intensity. Furthermore, we find that the processed images have transferability property; that is, the adversarial images generated for one particular DNN will influence the others as well.

  18. Team Modelling: Review of Experimental Scenarios and Computational Models

    Science.gov (United States)

    2006-09-01

    les auteurs ont réuni et examiné des scénarios ayant servi dans le cadre d’études antérieures sur les équipes, ils ont développé d’importants...cognition, perception, sensation, motor action and knowledge, that embody a principled underlying theory or framework for human information...Processing) integrates Qinetiq’s (POP) model with DRDC’s IP/PCT (Perceptual Control Theory ) models. In particular, the POP/IP model includes the

  19. MISTRAL: A game-theoretical model to allocate security measures in a multi-modal chemical transportation network with adaptive adversaries

    International Nuclear Information System (INIS)

    Talarico, Luca; Reniers, Genserik; Sörensen, Kenneth; Springael, Johan

    2015-01-01

    In this paper we present a multi-modal security-transportation model to allocate security resources within a chemical supply chain which is characterized by the use of different transport modes, each having their own security features. We consider security-related risks so as to take measures against terrorist acts which could target critical transportation systems. The idea of addressing security-related issues, by supporting decisions for preventing or mitigating intentional acts on transportation infrastructure, has gained attention in academic research only recently. The decision model presented in this paper is based on game theory and it can be employed to organize intelligence capabilities aimed at securing chemical supply chains. It enables detection and warning against impending attacks on transportation infrastructures and the subsequent adoption of security countermeasures. This is of extreme importance for preventing terrorist attacks and for avoiding (possibly huge) human and economic losses. In our work we also provide data sources and numerical simulations by applying the proposed model to a illustrative multi-modal chemical supply chain. - Highlights: • A model to increase the security in a multimodal chemical supply chain is proposed. • The model considers adaptive opponents having multi-attribute utility functions. • The model is based on game theory using an attacker–defender schema. • The model provides recommendations about where to allocate security measures. • Numerical simulations on a sample multimodal chemical supply chain are shown

  20. Understanding the Effects of Team Cognition Associated with Complex Engineering Tasks: Dynamics of Shared Mental Models, Task-SMM, and Team-SMM

    Science.gov (United States)

    Lee, Miyoung; Johnson, Tristan E.

    2008-01-01

    This study investigates how shared mental models (SMMs) change over time in teams of students in a manufacturing engineering course. A complex ill-structured project was given to each team. The objective of the team project was to analyze, test, and propose ways to improve their given manufactured product. Shared mental models were measured in…

  1. Predicting future conflict between team-members with parameter-free models of social networks

    Science.gov (United States)

    Rovira-Asenjo, Núria; Gumí, Tània; Sales-Pardo, Marta; Guimerà, Roger

    2013-06-01

    Despite the well-documented benefits of working in teams, teamwork also results in communication, coordination and management costs, and may lead to personal conflict between team members. In a context where teams play an increasingly important role, it is of major importance to understand conflict and to develop diagnostic tools to avert it. Here, we investigate empirically whether it is possible to quantitatively predict future conflict in small teams using parameter-free models of social network structure. We analyze data of conflict appearance and resolution between 86 team members in 16 small teams, all working in a real project for nine consecutive months. We find that group-based models of complex networks successfully anticipate conflict in small teams whereas micro-based models of structural balance, which have been traditionally used to model conflict, do not.

  2. Case management: a randomized controlled study comparing a neighborhood team and a centralized individual model.

    OpenAIRE

    Eggert, G M; Zimmer, J G; Hall, W J; Friedman, B

    1991-01-01

    This randomized controlled study compared two types of case management for skilled nursing level patients living at home: the centralized individual model and the neighborhood team model. The team model differed from the individual model in that team case managers performed client assessments, care planning, some direct services, and reassessments; they also had much smaller caseloads and were assigned a specific catchment area. While patients in both groups incurred very high estimated healt...

  3. Arguing with Adversaries: Aikido, Rhetoric, and the Art of Peace

    Science.gov (United States)

    Kroll, Barry M.

    2008-01-01

    The Japanese martial art of aikido affords a framework for understanding argument as harmonization rather than confrontation. Two movements, circling away ("tenkan") and entering in ("irimi"), suggest tactics for arguing with adversaries. The ethical imperative of aikido involves protecting one's adversary from harm, using the least force…

  4. Collective (Team) Learning Process Models: A Conceptual Review

    Science.gov (United States)

    Knapp, Randall

    2010-01-01

    Teams have become a key resource for learning and accomplishing work in organizations. The development of collective learning in specific contexts is not well understood, yet has become critical to organizational success. The purpose of this conceptual review is to inform human resource development (HRD) practice about specific team behaviors and…

  5. Identifying quantum phase transitions with adversarial neural networks

    Science.gov (United States)

    Huembeli, Patrick; Dauphin, Alexandre; Wittek, Peter

    2018-04-01

    The identification of phases of matter is a challenging task, especially in quantum mechanics, where the complexity of the ground state appears to grow exponentially with the size of the system. Traditionally, physicists have to identify the relevant order parameters for the classification of the different phases. We here follow a radically different approach: we address this problem with a state-of-the-art deep learning technique, adversarial domain adaptation. We derive the phase diagram of the whole parameter space starting from a fixed and known subspace using unsupervised learning. This method has the advantage that the input of the algorithm can be directly the ground state without any ad hoc feature engineering. Furthermore, the dimension of the parameter space is unrestricted. More specifically, the input data set contains both labeled and unlabeled data instances. The first kind is a system that admits an accurate analytical or numerical solution, and one can recover its phase diagram. The second type is the physical system with an unknown phase diagram. Adversarial domain adaptation uses both types of data to create invariant feature extracting layers in a deep learning architecture. Once these layers are trained, we can attach an unsupervised learner to the network to find phase transitions. We show the success of this technique by applying it on several paradigmatic models: the Ising model with different temperatures, the Bose-Hubbard model, and the Su-Schrieffer-Heeger model with disorder. The method finds unknown transitions successfully and predicts transition points in close agreement with standard methods. This study opens the door to the classification of physical systems where the phase boundaries are complex such as the many-body localization problem or the Bose glass phase.

  6. Mentale Inzetbaarheid van Teams: Ontwikkeling van een Moden van Teamfunctioneren als Module voor SCOPE (Mental Readiness of Teams - Development of a Team Model as Module for SCOPE)

    Science.gov (United States)

    2007-04-01

    inzetbaarheid van teams: ontwikkeling van een model van teamfunctioneren als module voor SCOPE Datumn april 2007 Auteur (s) R. de B~ruin C’. Vervvijs A.J...Datum april 2007 Programmaleider Projectleider Auteur (s) dr. W.A. Lotens, TNO Defensie en A.]. van Vijet, TNO Defensie en R. de Bruin Veiligheid...Deelnemers verwachten wel, in lijn met de theorie , dat een lage cohesie samenhangt met een lage effectiviteit. Een hoge cohesie, daarentegen, zou

  7. Information sharing systems and teamwork between sub-teams: a mathematical modeling perspective

    Science.gov (United States)

    Tohidi, Hamid; Namdari, Alireza; Keyser, Thomas K.; Drzymalski, Julie

    2017-12-01

    Teamwork contributes to a considerable improvement in quality and quantity of the ultimate outcome. Collaboration and alliance between team members bring a substantial progress for any business. However, it is imperative to acquire an appropriate team since many factors must be considered in this regard. Team size may represent the effectiveness of a team and it is of paramount importance to determine what the ideal team size exactly should be. In addition, information technology increasingly plays a differentiating role in productivity and adopting appropriate information sharing systems may contribute to improvement in efficiency especially in competitive markets when there are numerous producers that compete with each other. The significance of transmitting information to individuals is inevitable to assure an improvement in team performance. In this paper, a model of teamwork and its organizational structure are presented. Furthermore, a mathematical model is proposed in order to characterize a group of sub-teams according to two criteria: team size and information technology. The effect of information technology on performance of team and sub-teams as well as optimum size of those team and sub-teams from a productivity perspective are studied. Moreover, a quantitative sensitivity analysis is presented in order to analyze the interaction between these two factors through a sharing system.

  8. An implementation study of the crisis resolution team model in Norway: Are the crisis resolution teams fulfilling their role?

    Directory of Open Access Journals (Sweden)

    Johnson Sonia

    2011-05-01

    Full Text Available Abstract Background The establishment of crisis resolution teams (CRTs is part of the national mental health policy in several Western countries. The purpose of the present study is to describe characteristics of CRTs and their patients, explore the differences between CRTs, and examine whether the CRTs in Norway are organized according to the international CRT model. Methods The study was a naturalistic study of eight CRTs and 680 patients referred to these teams in Norway. Mental health problems were assessed using the Health of the Nation Outcome Scales (HoNOS, Global Assessment of Functioning Scales (GAF and the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10. Results None of the CRTs operated 24 hours a day, seven days a week (24/7 availability or had gate-keeping functions for acute wards. The CRTs also treated patients who were not considered for hospital admission. Forty per cent of patients waited more than 24 hours for treatment. Fourteen per cent had psychotic symptoms, and 69% had affective symptoms. There were significant variations between teams in patients' total severity of symptoms and social problems, but no variations between teams with respect to patients' aggressive behaviour, non-accidental self-injury, substance abuse or psychotic symptoms. There was a tendency for teams operating extended hours to treat patients with more severe mental illnesses. Conclusions The CRT model has been implemented in Norway without a rapid response, gate-keeping function and 24/7 availability. These findings indicate that the CRTs do not completely fulfil their intended role in the mental health system.

  9. Ichthyoplankton Classification Tool using Generative Adversarial Networks and Transfer Learning

    KAUST Repository

    Aljaafari, Nura

    2018-04-15

    The study and the analysis of marine ecosystems is a significant part of the marine science research. These systems are valuable resources for fisheries, improving water quality and can even be used in drugs production. The investigation of ichthyoplankton inhabiting these ecosystems is also an important research field. Ichthyoplankton are fish in their early stages of life. In this stage, the fish have relatively similar shape and are small in size. The currently used way of identifying them is not optimal. Marine scientists typically study such organisms by sending a team that collects samples from the sea which is then taken to the lab for further investigation. These samples need to be studied by an expert and usually end needing a DNA sequencing. This method is time-consuming and requires a high level of experience. The recent advances in AI have helped to solve and automate several difficult tasks which motivated us to develop a classification tool for ichthyoplankton. We show that using machine learning techniques, such as generative adversarial networks combined with transfer learning solves such a problem with high accuracy. We show that using traditional machine learning algorithms fails to solve it. We also give a general framework for creating a classification tool when the dataset used for training is a limited dataset. We aim to build a user-friendly tool that can be used by any user for the classification task and we aim to give a guide to the researchers so that they can follow in creating a classification tool.

  10. An integrative model of knowledge management and team work

    OpenAIRE

    Juan A. Marin-Garcia; Mª Elena Zarate-Martinez

    2008-01-01

    Human Resource Management relevance in Knowledge Management has been studied in academic literature mostly from the point of view of recruitment, selection, wages and salaries and career development processes. We have found few publications that are focused in the behaviour of the group of people who generate, share and transfer that knowledge while working in a team. The aim of this paper is to propose a framework that describes the relation between knowledge management and team work,, integ...

  11. Saliency detection by conditional generative adversarial network

    Science.gov (United States)

    Cai, Xiaoxu; Yu, Hui

    2018-04-01

    Detecting salient objects in images has been a fundamental problem in computer vision. In recent years, deep learning has shown its impressive performance in dealing with many kinds of vision tasks. In this paper, we propose a new method to detect salient objects by using Conditional Generative Adversarial Network (GAN). This type of network not only learns the mapping from RGB images to salient regions, but also learns a loss function for training the mapping. To the best of our knowledge, this is the first time that Conditional GAN has been used in salient object detection. We evaluate our saliency detection method on 2 large publicly available datasets with pixel accurate annotations. The experimental results have shown the significant and consistent improvements over the state-of-the-art method on a challenging dataset, and the testing speed is much faster.

  12. Team Learning and Team Composition in Nursing

    Science.gov (United States)

    Timmermans, Olaf; Van Linge, Roland; Van Petegem, Peter; Elseviers, Monique; Denekens, Joke

    2011-01-01

    Purpose: This study aims to explore team learning activities in nursing teams and to test the effect of team composition on team learning to extend conceptually an initial model of team learning and to examine empirically a new model of ambidextrous team learning in nursing. Design/methodology/approach: Quantitative research utilising exploratory…

  13. Facet personality and surface-level diversity as team mental model antecedents: implications for implicit coordination.

    Science.gov (United States)

    Fisher, David M; Bell, Suzanne T; Dierdorff, Erich C; Belohlav, James A

    2012-07-01

    Team mental models (TMMs) have received much attention as important drivers of effective team processes and performance. Less is known about the factors that give rise to these shared cognitive structures. We examined potential antecedents of TMMs, with a specific focus on team composition variables, including various facets of personality and surface-level diversity. Further, we examined implicit coordination as an important outcome of TMMs. Results suggest that team composition in terms of the cooperation facet of agreeableness and racial diversity were significantly related to team-focused TMM similarity. TMM similarity was also positively predictive of implicit coordination, which mediated the relationship between TMM similarity and team performance. Post hoc analyses revealed a significant interaction between the trust facet of agreeableness and racial diversity in predicting TMM similarity. Results are discussed in terms of facilitating the emergence of TMMs and corresponding implications for team-related human resource practices. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

  14. An integrative model of knowledge management and team work

    Directory of Open Access Journals (Sweden)

    Juan A. Marin-Garcia

    2008-10-01

    Full Text Available Human Resource Management relevance in Knowledge Management has been studied in academic literature mostly from the point of view of recruitment, selection, wages and salaries and career development processes. We have found few publications that are focused in the behaviour of the group of people who generate, share and transfer that knowledge while working in a team. The aim of this paper is to propose a framework that describes the relation between knowledge management and team work,, integrating Nonaka and Takeuchi, Leonard- Barton and Heisig framework proposals, as well as to outline some reflexions for further researches.

  15. WORK GROUP DEVELOPMENT MODELS – THE EVOLUTION FROM SIMPLE GROUP TO EFFECTIVE TEAM

    Directory of Open Access Journals (Sweden)

    Raluca ZOLTAN

    2016-02-01

    Full Text Available Currently, work teams are increasingly studied by virtue of the advantages they have compared to the work groups. But a true team does not appear overnight but must complete several steps to overcome the initial stage of its existence as a group. The question that arises is at what point a simple group is turning into an effective team. Even though the development process of group into a team is not a linear process, the models found in the literature provides a rich framework for analyzing and identifying the features which group acquires over time till it become a team in the true sense of word. Thus, in this article we propose an analysis of the main models of group development in order to point out, even in a relative manner, the stage when the simple work group becomes an effective work team.

  16. A Project Team Analysis Using Tuckman's Model of Small-Group Development.

    Science.gov (United States)

    Natvig, Deborah; Stark, Nancy L

    2016-12-01

    Concerns about equitable workloads for nursing faculty have been well documented, yet a standardized system for workload management does not exist. A project team was challenged to establish an academic workload management system when two dissimilar universities were consolidated. Tuckman's model of small-group development was used as the framework for the analysis of processes and effectiveness of a workload project team. Agendas, notes, and meeting minutes were used as the primary sources of information. Analysis revealed the challenges the team encountered. Utilization of a team charter was an effective tool in guiding the team to become a highly productive group. Lessons learned from the analysis are discussed. Guiding a diverse group into a highly productive team is complex. The use of Tuckman's model of small-group development provided a systematic mechanism to review and understand group processes and tasks. [J Nurs Educ. 2016;55(12):675-681.]. Copyright 2016, SLACK Incorporated.

  17. Modeling Leadership Styles in Human-Robot Team Dynamics

    Science.gov (United States)

    Cruz, Gerardo E.

    2005-01-01

    The recent proliferation of robotic systems in our society has placed questions regarding interaction between humans and intelligent machines at the forefront of robotics research. In response, our research attempts to understand the context in which particular types of interaction optimize efficiency in tasks undertaken by human-robot teams. It is our conjecture that applying previous research results regarding leadership paradigms in human organizations will lead us to a greater understanding of the human-robot interaction space. In doing so, we adapt four leadership styles prevalent in human organizations to human-robot teams. By noting which leadership style is more appropriately suited to what situation, as given by previous research, a mapping is created between the adapted leadership styles and human-robot interaction scenarios-a mapping which will presumably maximize efficiency in task completion for a human-robot team. In this research we test this mapping with two adapted leadership styles: directive and transactional. For testing, we have taken a virtual 3D interface and integrated it with a genetic algorithm for use in &le-operation of a physical robot. By developing team efficiency metrics, we can determine whether this mapping indeed prescribes interaction styles that will maximize efficiency in the teleoperation of a robot.

  18. Case management: a randomized controlled study comparing a neighborhood team and a centralized individual model.

    Science.gov (United States)

    Eggert, G M; Zimmer, J G; Hall, W J; Friedman, B

    1991-10-01

    This randomized controlled study compared two types of case management for skilled nursing level patients living at home: the centralized individual model and the neighborhood team model. The team model differed from the individual model in that team case managers performed client assessments, care planning, some direct services, and reassessments; they also had much smaller caseloads and were assigned a specific catchment area. While patients in both groups incurred very high estimated health services costs, the average annual cost during 1983-85 for team cases was 13.6 percent less than that of individual model cases. While the team cases were 18.3 percent less expensive among "old" patients (patients who entered the study from the existing ACCESS caseload), they were only 2.7 percent less costly among "new" cases. The lower costs were due to reductions in hospital days and home care. Team cases averaged 26 percent fewer hospital days per year and 17 percent fewer home health aide hours. Nursing home use was 48 percent higher for the team group than for the individual model group. Mortality was almost exactly the same for both groups during the first year (about 30 percent), but was lower for team patients during the second year (11 percent as compared to 16 percent). Probable mechanisms for the observed results are discussed.

  19. Adversarial training and dilated convolutions for brain MRI segmentation

    NARCIS (Netherlands)

    Moeskops, P.; Veta, M.; Lafarge, M.W.; Eppenhof, K.A.J.; Pluim, J.P.W.

    2017-01-01

    Convolutional neural networks (CNNs) have been applied to various automatic image segmentation tasks in medical image analysis, including brain MRI segmentation. Generative adversarial networks have recently gained popularity because of their power in generating images that are difficult to

  20. Feminized Power and Adversarial Advocacy: Levelling Arguments or Analyzing Them?

    Science.gov (United States)

    Condit, Celeste Michelle

    1989-01-01

    Examines the journalistic analysis of the 1988 Presidential Debates from a feminist perspective in order to identify the revisions needed in the debate process. Provides historical background of feminized power and adversarial advocacy. (MM)

  1. High-performing trauma teams: frequency of behavioral markers of a shared mental model displayed by team leaders and quality of medical performance.

    Science.gov (United States)

    Johnsen, Bjørn Helge; Westli, Heidi Kristina; Espevik, Roar; Wisborg, Torben; Brattebø, Guttorm

    2017-11-10

    High quality team leadership is important for the outcome of medical emergencies. However, the behavioral marker of leadership are not well defined. The present study investigated frequency of behavioral markers of shared mental models (SMM) on quality of medical management. Training video recordings of 27 trauma teams simulating emergencies were analyzed according to team -leader's frequency of shared mental model behavioral markers. The results showed a positive correlation of quality of medical management with leaders sharing information without an explicit demand for the information ("push" of information) and with leaders communicating their situational awareness (SA) and demonstrating implicit supporting behavior. When separating the sample into higher versus lower performing teams, the higher performing teams had leaders who displayed a greater frequency of "push" of information and communication of SA and supportive behavior. No difference was found for the behavioral marker of team initiative, measured as bringing up suggestions to other teammembers. The results of this study emphasize the team leader's role in initiating and updating a team's shared mental model. Team leaders should also set expectations for acceptable interaction patterns (e.g., promoting information exchange) and create a team climate that encourages behaviors, such as mutual performance monitoring, backup behavior, and adaptability to enhance SMM.

  2. A Co-Opetitive Automated Negotiation Model for Vertical Allied Enterprises Teams and Stakeholders

    Directory of Open Access Journals (Sweden)

    Taiguang Gao

    2018-04-01

    Full Text Available Upstream and downstream of supply chain enterprises often form a tactic vertical alliance to enhance their operational efficiency and maintain their competitive edges in the market. Hence, it is critical for an alliance to collaborate over their internal resources and resolve the profit conflicts among members, so that the functionality required by stakeholders can be fulfilled. As an effective solution, automated negotiation for the vertical allied enterprises team and stakeholder will sufficiently make use of emerging team advantages and significantly reduce the profit conflicts in teams with grouping decisions rather than unilateral decisions by some leader. In this paper, an automated negotiation model is designed to describe both the collaborative game process among the team members and the competitive negotiation process between the allied team and the stakeholder. Considering the co-competitiveness of the vertical allied team, the designed model helps the team members making decision for their own sake, and the team counter-offers for the ongoing negotiation are generated with non-cooperative game process, where the profit derived from negotiation result is distributed with Shapley value method according to contribution or importance contributed by each team member. Finally, a case study is given to testify the effectiveness of the designed model.

  3. MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

    OpenAIRE

    Ding, Wenhao; He, Liang

    2018-01-01

    In this paper, we propose an enhanced triplet method that improves the encoding process of embeddings by jointly utilizing generative adversarial mechanism and multitasking optimization. We extend our triplet encoder with Generative Adversarial Networks (GANs) and softmax loss function. GAN is introduced for increasing the generality and diversity of samples, while softmax is for reinforcing features about speakers. For simplification, we term our method Multitasking Triplet Generative Advers...

  4. Applying the Team Identification-Social Psychological Health Model to older sport fans.

    Science.gov (United States)

    Wann, Daniel L; Rogers, Kelly; Dooley, Keith; Foley, Mary

    2011-01-01

    According to the Team Identification-Social Psychological Health Model (Wann, 2006b), team identification and social psychological health should be positively correlated because identification leads to important social connections which, in turn, facilitate well-being. Although past research substantiates the hypothesized positive relationship between team identification and well-being, earlier studies focused solely on college student populations. The current study extended past work in this area by investigating the team identification/well-being relationship among older sport fans. A sample of older adults (N = 96; M age = 70.82) completed scales assessing demographics, identification with a local college basketball team, and measures of social psychological well-being. As hypothesized, team identification accounted for a significant proportion of unique variance in two measures of social psychological health (collective self-esteem and loneliness).

  5. Modeling the Neurodynamics of Submarine Piloting and Navigation Teams

    Science.gov (United States)

    2014-05-07

    689J _ "* /-n&mi (E-66J B. Speech Transactions GF C. NS_WL Entropy >- Q. O H.1BBB 4-6 U^^J BEE 100 200 300 400 500...different time scales. That structure and the behavior that results from it pose problems for researchers because multiply- nested interactions are... nested patterns of team activity can be identified from neural data streams, including both routine and novel events. The novelty of this tool is the

  6. Teamwork skills, shared mental models, and performance in simulated trauma teams: an independent group design

    Directory of Open Access Journals (Sweden)

    Westli Heidi

    2010-08-01

    Full Text Available Abstract Background Non-technical skills are seen as an important contributor to reducing adverse events and improving medical management in healthcare teams. Previous research on the effectiveness of teams has suggested that shared mental models facilitate coordination and team performance. The purpose of the study was to investigate whether demonstrated teamwork skills and behaviour indicating shared mental models would be associated with observed improved medical management in trauma team simulations. Methods Revised versions of the 'Anesthetists' Non-Technical Skills Behavioural marker system' and 'Anti-Air Teamwork Observation Measure' were field tested in moment-to-moment observation of 27 trauma team simulations in Norwegian hospitals. Independent subject matter experts rated medical management in the teams. An independent group design was used to explore differences in teamwork skills between higher-performing and lower-performing teams. Results Specific teamwork skills and behavioural markers were associated with indicators of good team performance. Higher and lower-performing teams differed in information exchange, supporting behaviour and communication, with higher performing teams showing more effective information exchange and communication, and less supporting behaviours. Behavioural markers of shared mental models predicted effective medical management better than teamwork skills. Conclusions The present study replicates and extends previous research by providing new empirical evidence of the significance of specific teamwork skills and a shared mental model for the effective medical management of trauma teams. In addition, the study underlines the generic nature of teamwork skills by demonstrating their transferability from different clinical simulations like the anaesthesia environment to trauma care, as well as the potential usefulness of behavioural frequency analysis in future research on non-technical skills.

  7. Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

    OpenAIRE

    Peng, Xi; Tang, Zhiqiang; Yang, Fei; Feris, Rogerio; Metaxas, Dimitris

    2018-01-01

    Random data augmentation is a critical technique to avoid overfitting in training deep neural network models. However, data augmentation and network training are usually treated as two isolated processes, limiting the effectiveness of network training. Why not jointly optimize the two? We propose adversarial data augmentation to address this limitation. The main idea is to design an augmentation network (generator) that competes against a target network (discriminator) by generating `hard' au...

  8. Applying the Team Identification-Social Psychological Health Model to Older Sport Fans

    Science.gov (United States)

    Wann, Daniel L.; Rogers, Kelly; Dooley, Keith; Foley, Mary

    2011-01-01

    According to the Team Identification-Social Psychological Health Model (Wann, 2006b), team identification and social psychological health should be positively correlated because identification leads to important social connections which, in turn, facilitate well-being. Although past research substantiates the hypothesized positive relationship…

  9. An action-learning model to assist Circuit Teams to support School ...

    African Journals Online (AJOL)

    We report on the construction of a theoretical model to assist Circuit Teams to support School Management Teams of underperforming high schools towards whole-school development in which these improvement plans play a central role. We followed an action research design, employing qualitative data generation and ...

  10. University and College Counselors as Athletic Team Consultants: Using a Structural Family Therapy Model

    Science.gov (United States)

    Parcover, Jason A.; Mettrick, Jennifer; Parcover, Cynthia A. D.; Griffin-Smith, Pamela

    2009-01-01

    Increasingly, university and college counselors are sought out by their institution's sports coaches for assistance in achieving team goals. Traditional sport psychology models that have the individual athlete as their primary focus are insufficient frameworks for team-level consultations. The authors believe that systemic approaches may provide…

  11. Incorporating Solid Modeling and Team-Based Design into Freshman Engineering Graphics.

    Science.gov (United States)

    Buchal, Ralph O.

    2001-01-01

    Describes the integration of these topics through a major team-based design and computer aided design (CAD) modeling project in freshman engineering graphics at the University of Western Ontario. Involves n=250 students working in teams of four to design and document an original Lego toy. Includes 12 references. (Author/YDS)

  12. The Adversarial Principle in Prima Facie Judgments of the Legal Thesis Firmed in the Trial of Repetitive Cases

    Directory of Open Access Journals (Sweden)

    Juliana Provedel Cardoso

    2016-10-01

    Full Text Available The present articles objective is to analyse the highly effective adversarial principle from the Constitutional Democratic State of Law and the cooperative process structure. In this sense, an analysis of the repetitive cases model is made with special relevance to the Civil Procedure Codice 2015, put in evidence the preliminary injunction, the repetitive appeals and the resolution incident repetitive demands. With the establishment of the premises, an analysis of the adversarial principle is made on prima facie judgments of the legal thesis firmed in the trial of repetitive cases, in view of the motivation of the court decision (speech of the case and law (speech of the precedents.

  13. Adversarial risk analysis with incomplete information: a level-k approach.

    Science.gov (United States)

    Rothschild, Casey; McLay, Laura; Guikema, Seth

    2012-07-01

    This article proposes, develops, and illustrates the application of level-k game theory to adversarial risk analysis. Level-k reasoning, which assumes that players play strategically but have bounded rationality, is useful for operationalizing a Bayesian approach to adversarial risk analysis. It can be applied in a broad class of settings, including settings with asynchronous play and partial but incomplete revelation of early moves. Its computational and elicitation requirements are modest. We illustrate the approach with an application to a simple defend-attack model in which the defender's countermeasures are revealed with a probability less than one to the attacker before he decides on how or whether to attack. © 2011 Society for Risk Analysis.

  14. A Model for Capturing Team Adaptation in Simulated Emergencies

    DEFF Research Database (Denmark)

    Paltved, Charlotte; Musaeus, Peter

    2013-01-01

    and conceptualizes team processes through recursive cycles of updates. In the 29 simulation scenarios, 94 updates were recorded. There were between 0 and 8 updates per scenario (mean 3,2). Level five was achieved in 13 scenarios, level four in 8 scenarios and finally, level two and three were achieved in four...... is required to meaningfully account for communication exchanges in context. As such, this theoretical framework might provide a vocabulary for operationalizing the differences between "effective and ineffective" communication. Moving beyond counting communication events or the frequency of certain...

  15. A THEORETICAL MODEL OF SOCIO-PSYCHOLOGICAL SUPPORT WORK PROCESSES FOR MANAGEMENT OF PRODUCTION TEAM

    Directory of Open Access Journals (Sweden)

    Tatyana Gennadevna Pronyushkina

    2015-10-01

    Full Text Available This article discusses the management of production team, in particular the developed theoretical model of socio-psychological support work processes for management of production team. The author of the research are formulated the purpose and objectives of social-psychological work on management of the production team. Developed in the study a theoretical model aimed at determining the conditions and the identification of features of effective management of the enterprise taking into account the socio-psychological characteristics of its staff. Tasks include: definition of the main characteristics of the production team and their severity, the analysis of these characteristics and identifying opportunities for their transformation, development of recommendations for management of social-psychological work on effects on the characteristics of the collective enterprise.Practical study of the activities of a number of businesses have shown the need to improve socio-psychological support of management processes production team: introducing a social and psychological planning team and develop the practice of sociological research on the state of the team, to ensure the smoothing of relations between workers and management through periodic meetings, creations of conditions for feedback, maintaining healthy competition among team members.

  16. a model for quantity estimation for multi-coded team events

    African Journals Online (AJOL)

    Participation in multi-coded sports events often involves travel to international ... Medication use by Team south africa during the XXVIIIth olympiad: a model .... individual sports included in the programme (e.g. athletes involved in contact sports ...

  17. Shared Authentic Leadership in Research Teams: Testing a Multiple Mediation Model

    NARCIS (Netherlands)

    Günter, Hannes; Gardner, William L.; Davis McCauley, Kelly; Randolph-Seng, Brandon; P. Prahbu, Veena

    2017-01-01

    Research teams face complex leadership and coordination challenges. We propose shared authentic leadership (SAL) as a timely approach to addressing these challenges. Drawing from authentic and functional leadership theories, we posit a multiple mediation model that suggests three mechanisms whereby

  18. Team Risk Management: A New Model for Customer-Supplier Relationships

    Science.gov (United States)

    1994-07-01

    Management : A New Model for Customer - Supplier Relationships Ronald P. Higuera "Audrey J. Dorofee Julie A. Walker Ray C. Williams July 1994 ""•// 94...N/A N/A N/A 11. TITLE (Include Secuity Claaaificatioa) Team Risk Management : A New Model for Customer -Supplier Relationships 12. PERSONAL AUTHOR(S...by block number) FIELD GROUP SUB. GR. Customer - Supplier Relationships Risk Team Risk Management 19. ABSTRACT (cominus on = if necesaryd id’y by block

  19. The organization of multidisciplinary care teams: modeling internal and external influences on cancer care quality.

    Science.gov (United States)

    Fennell, Mary L; Das, Irene Prabhu; Clauser, Steven; Petrelli, Nicholas; Salner, Andrew

    2010-01-01

    Quality cancer treatment depends upon careful coordination between multiple treatments and treatment providers, the exchange of technical information, and regular communication between all providers and physician disciplines involved in treatment. This article will examine a particular type of organizational structure purported to regularize and streamline the communication between multiple specialists and support services involved in cancer treatment: the multidisciplinary treatment care (MDC) team. We present a targeted review of what is known about various types of MDC team structures and their impact on the quality of treatment care, and we outline a conceptual model of the connections between team context, structure, process, and performance and their subsequent effects on cancer treatment care processes and patient outcomes. Finally, we will discuss future research directions to understand how MDC teams improve patient outcomes and how characteristics of team structure, culture, leadership, and context (organizational setting and local environment) contribute to optimal multidisciplinary cancer care.

  20. Assessing Trust and Effectiveness in Virtual Teams: Latent Growth Curve and Latent Change Score Models

    Directory of Open Access Journals (Sweden)

    Michael D. Coovert

    2017-08-01

    Full Text Available Trust plays a central role in the effectiveness of work groups and teams. This is the case for both face-to-face and virtual teams. Yet little is known about the development of trust in virtual teams. We examined cognitive and affective trust and their relationship to team effectiveness as reflected through satisfaction with one’s team and task performance. Latent growth curve analysis reveals both trust types start at a significant level with individual differences in that initial level. Cognitive trust follows a linear growth pattern while affective trust is overall non-linear, but becomes linear once established. Latent change score models are utilized to examine change in trust and also its relationship with satisfaction with the team and team performance. In examining only change in trust and its relationship to satisfaction there appears to be a straightforward influence of trust on satisfaction and satisfaction on trust. However, when incorporated into a bivariate coupling latent change model the dynamics of the relationship are revealed. A similar pattern holds for trust and task performance; however, in the bivariate coupling change model a more parsimonious representation is preferred.

  1. Recognizing and Imitating Programmer Style: Adversaries in Program Authorship Attribution

    Directory of Open Access Journals (Sweden)

    Simko Lucy

    2018-01-01

    Full Text Available Source code attribution classifiers have recently become powerful. We consider the possibility that an adversary could craft code with the intention of causing a misclassification, i.e., creating a forgery of another author’s programming style in order to hide the forger’s own identity or blame the other author. We find that it is possible for a non-expert adversary to defeat such a system. In order to inform the design of adversarially resistant source code attribution classifiers, we conduct two studies with C/C++ programmers to explore the potential tactics and capabilities both of such adversaries and, conversely, of human analysts doing source code authorship attribution. Through the quantitative and qualitative analysis of these studies, we (1 evaluate a state-of-the-art machine classifier against forgeries, (2 evaluate programmers as human analysts/forgery detectors, and (3 compile a set of modifications made to create forgeries. Based on our analyses, we then suggest features that future source code attribution systems might incorporate in order to be adversarially resistant.

  2. Forming a new clinical team for frail older people: can a group development model help?

    Science.gov (United States)

    Anderson, Elizabeth Susan; Pollard, Lorraine; Conroy, Simon; Clague-Baker, Nicola

    2014-03-01

    Integrated services which utilise the expertise of team members along care pathways are evolving. Changes in service structure and subsequent team working arrangements can be a challenge for practitioners expected to redefine how they work with one another. These services are particularly important for the care of frail older people. This exploratory study of one newly forming team presents the views of staff involved in establishing an interprofessional healthcare advisory team for older people within an acute hospital admissions unit. Staff experiences of forming a new service are aligned to a model of team development. The findings are presented as themes relating to the stages of team development and identify the challenges of setting up an integrated service alongside existing services. In particular, team process issues relating to the clarity of goals, role clarification, leadership, team culture and identity. Managers must allow time to ensure new services evolve before setting up evaluation studies for efficiency and effectiveness which might prove against the potential for interprofessional teamworking.

  3. Structural equation modeling analysis of factors influencing architects' trust in project design teams

    Institute of Scientific and Technical Information of China (English)

    DING Zhi-kun; NG Fung-fai; WANG Jia-yuan

    2009-01-01

    This paper describes a structural equation modeling (SEM) analysis of factors influencing architects' trust in project design teams. We undertook a survey of architects, during which we distributed 193 questionnaires in 29 A-level architectural We used Amos 6.0 for SEM to identify significant personal construct based factors affecting interpersonal trust. The results show that only social interaction between architects significantly affects their interpersonal trust. The explained variance of trust is not very high in the model. Therefore, future research should add more factors into the current model. The practical implication is that team managers should promote the social interactions between team members such that the interpersonal trust level between team members can be improved.

  4. Creating Turbulent Flow Realizations with Generative Adversarial Networks

    Science.gov (United States)

    King, Ryan; Graf, Peter; Chertkov, Michael

    2017-11-01

    Generating valid inflow conditions is a crucial, yet computationally expensive, step in unsteady turbulent flow simulations. We demonstrate a new technique for rapid generation of turbulent inflow realizations that leverages recent advances in machine learning for image generation using a deep convolutional generative adversarial network (DCGAN). The DCGAN is an unsupervised machine learning technique consisting of two competing neural networks that are trained against each other using backpropagation. One network, the generator, tries to produce samples from the true distribution of states, while the discriminator tries to distinguish between true and synthetic samples. We present results from a fully-trained DCGAN that is able to rapidly draw random samples from the full distribution of possible inflow states without needing to solve the Navier-Stokes equations, eliminating the costly process of spinning up inflow turbulence. This suggests a new paradigm in physics informed machine learning where the turbulence physics can be encoded in either the discriminator or generator. Finally, we also propose additional applications such as feature identification and subgrid scale modeling.

  5. Quantum Capacity under Adversarial Quantum Noise: Arbitrarily Varying Quantum Channels

    Science.gov (United States)

    Ahlswede, Rudolf; Bjelaković, Igor; Boche, Holger; Nötzel, Janis

    2013-01-01

    We investigate entanglement transmission over an unknown channel in the presence of a third party (called the adversary), which is enabled to choose the channel from a given set of memoryless but non-stationary channels without informing the legitimate sender and receiver about the particular choice that he made. This channel model is called an arbitrarily varying quantum channel (AVQC). We derive a quantum version of Ahlswede's dichotomy for classical arbitrarily varying channels. This includes a regularized formula for the common randomness-assisted capacity for entanglement transmission of an AVQC. Quite surprisingly and in contrast to the classical analog of the problem involving the maximal and average error probability, we find that the capacity for entanglement transmission of an AVQC always equals its strong subspace transmission capacity. These results are accompanied by different notions of symmetrizability (zero-capacity conditions) as well as by conditions for an AVQC to have a capacity described by a single-letter formula. In the final part of the paper the capacity of the erasure-AVQC is computed and some light shed on the connection between AVQCs and zero-error capacities. Additionally, we show by entirely elementary and operational arguments motivated by the theory of AVQCs that the quantum, classical, and entanglement-assisted zero-error capacities of quantum channels are generically zero and are discontinuous at every positivity point.

  6. MODELLING THE PROGRESSION OF COMPETITIVE PERFORMANCE OF AN ACADEMY'S SOCCER TEAMS

    Directory of Open Access Journals (Sweden)

    Rita M. Malcata

    2012-09-01

    Full Text Available Progression of a team's performance is a key issue in competitive sport, but there appears to have been no published research on team progression for periods longer than a season. In this study we report the game-score progression of three teams of a youth talent-development academy over five seasons using a novel analytic approach based on generalised mixed modelling. The teams consisted of players born in 1991, 1992 and 1993; they played totals of 115, 107 and 122 games in Asia and Europe between 2005 and 2010 against teams differing in age by up to 3 years. Game scores predicted by the mixed model were assumed to have an over-dispersed Poisson distribution. The fixed effects in the model estimated an annual linear pro-gression for Aspire and for the other teams (grouped as a single opponent with adjustment for home-ground advantage and for a linear effect of age difference between competing teams. A random effect allowed for different mean scores for Aspire and opposition teams. All effects were estimated as factors via log-transformation and presented as percent differences in scores. Inferences were based on the span of 90% confidence intervals in relation to thresholds for small factor effects of x/÷1.10 (+10%/-9%. Most effects were clear only when data for the three teams were combined. Older teams showed a small 27% increase in goals scored per year of age difference (90% confidence interval 13 to 42%. Aspire experienced a small home-ground advantage of 16% (-5 to 41%, whereas opposition teams experienced 31% (7 to 60% on their own ground. After adjustment for these effects, the Aspire teams scored on average 1.5 goals per match, with little change in the five years of their existence, whereas their opponents' scores fell from 1.4 in their first year to 1.0 in their last. The difference in progression was trivial over one year (7%, -4 to 20%, small over two years (15%, -8 to 44%, but unclear over >2 years. In conclusion, the generalized

  7. Evaluating the Relationship between Team Performance and Joint Attention with Longitudinal Multivariate Mixed Models

    Science.gov (United States)

    2016-09-23

    Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2), 147–177...Relationship between Team Performance and Joint Attention with Longitudinal Multivariate Mixed Models 5a. CONTRACT NUMBER FA8650-14-D-6501-0009 5b...Annual Meeting, 19-23 September 2016. 14. Previous research indicates that measures of joint attention provide unique insight into team cognition

  8. [Regional geriatric team--a model for cooperation between nursing homes and hospitals].

    Science.gov (United States)

    Sellaeg, Wenche Frogn

    2005-04-21

    Few studies describe and evaluate the use of ambulatory geriatric teams in nursing homes. This article gives an account of a model in which a multidisciplinary group from the local hospital has been visiting 17 communities in Norway twice a year for 11 years. The ambulatory geriatric team includes a geriatrician, a geriatric nurse, a physiotherapist and an occupational therapist. Their aim is to raise the quality of geriatric assessment and care and to enhance the cooperation between the hospital and the nursing homes in the communities. The team members are doing a comprehensive geriatric assessment of some of the patients; they assess cases for further referral, and examine patients with declining functioning with a view to rehabilitation. The team provides instruction in various aspects of geriatrics to community care professionals. Much time is devoted to discussions on problems raised by the staff, such as management of patients with dementia-related behavioural problems, and to provide feedback to staff-members. The team liaise between hospitals, nursing homes and community care services in the communities in order to enhance communication between the professionals involved. An evaluation of the team was done on behalf of the National Institute of Health through a postal questionnaire which was returned by 223 doctors, nurses and allied health care professionals. The results indicate that visits by the ambulatory team improve the knowledge of doctors and allied professionals about diseases in the elderly; 92% reported that they now felt they were doing a better job.

  9. Computationally Secure Pattern Matching in the Presence of Malicious Adversaries

    DEFF Research Database (Denmark)

    Hazay, Carmit; Toft, Tomas

    2010-01-01

    simulation in the presence of malicious, polynomial-time adversaries (assuming that ElGamal encryption is semantically secure) and exhibits computation and communication costs of O(n + m) in a constant round complexity. In addition to the above, we propose a collection of protocols for variations...

  10. Vulnerability of classifiers to evolutionary generated adversarial examples

    Czech Academy of Sciences Publication Activity Database

    Vidnerová, Petra; Neruda, Roman

    submitted 14.1. 2017 (2018) ISSN 0941-0643 R&D Projects: GA ČR GA15-18108S Institutional support: RVO:67985807 Keywords : supervised learning * neural networks * kernel methods * genetic algorithm s * adversarial examples Subject RIV: IN - Informatics, Computer Science Impact factor: 2.505, year: 2016

  11. Methodology for characterizing potential adversaries of Nuclear Material Safeguards Systems

    International Nuclear Information System (INIS)

    Kirkwood, C.W.; Pollock, S.M.

    1978-11-01

    The results are described of a study by Woodward--Clyde Consultants to assist the University of California Lawrence Livermore Laboratory in the development of methods to analyze and evaluate Nuclear Material Safeguards (NMS) Systems. The study concentrated on developing a methodology to assist experts in describing, in quantitative form, their judgments about the characteristics of potential adversaries of NMS Systems

  12. Comparing Generative Adversarial Network Techniques for Image Creation and Modification

    NARCIS (Netherlands)

    Pieters, Mathijs; Wiering, Marco

    2018-01-01

    Generative adversarial networks (GANs) have demonstrated to be successful at generating realistic real-world images. In this paper we compare various GAN techniques, both supervised and unsupervised. The effects on training stability of different objective functions are compared. We add an encoder

  13. Generative adversarial networks for anomaly detection in images

    OpenAIRE

    Batiste Ros, Guillem

    2018-01-01

    Anomaly detection is used to identify abnormal observations that don t follow a normal pattern. Inthis work, we use the power of Generative Adversarial Networks in sampling from image distributionsto perform anomaly detection with images and to identify local anomalous segments within thisimages. Also, we explore potential application of this method to support pathological analysis ofbiological tissues

  14. Methodology for characterizing potential adversaries of Nuclear Material Safeguards Systems

    Energy Technology Data Exchange (ETDEWEB)

    Kirkwood, C.W.; Pollock, S.M.

    1978-11-01

    The results are described of a study by Woodward--Clyde Consultants to assist the University of California Lawrence Livermore Laboratory in the development of methods to analyze and evaluate Nuclear Material Safeguards (NMS) Systems. The study concentrated on developing a methodology to assist experts in describing, in quantitative form, their judgments about the characteristics of potential adversaries of NMS Systems.

  15. Adversarial risks in social experiments with new technologies

    NARCIS (Netherlands)

    Pieters, Wolter; Dechesne, Francien; van der Poel, Ibo; Asveld, Lotte; Mehos, Donna C.

    2017-01-01

    Studies that approach the deployment of new technologies as social experiments have mostly focused on unintentional effects, notably safety. We argue for the inclusion of adversarial risks or security aspects that are the result of intentional, strategic behavior of actors, who aim at using the

  16. An Effective Procedure for Training Early Special Education Teams to Implement a Model Program.

    Science.gov (United States)

    Rogers, Sally J.; And Others

    1987-01-01

    Training of early special education teams (serving 11 autistic and 10 developmentally-delayed children) to use the Playschool model resulted in: positive perception of the training's value; increases in knowledge about child development, infantile autism, and the model; increased use of Playschool techniques; and positive developmental changes in…

  17. A Brand Loyalty Model Utilizing Team Identification and Customer Satisfaction in the Licensed Sports Product Industry

    Science.gov (United States)

    Lee, Soonhwan; Shin, Hongbum; Park, Jung-Jun; Kwon, Oh-Ryun

    2010-01-01

    The purpose of this study was to investigate the relationship among the attitudinal brand loyalty variables (i.e., cognitive, affective, and conative components), team identification, and customer satisfaction by developing a structural equation model, based on Oliver's (1997) attitudinal brand loyalty model. The results of this study confirmed…

  18. Pathfinding in graph-theoretic sabotage models. I. Simultaneous attack by several teams

    International Nuclear Information System (INIS)

    Hulme, B.L.

    1976-07-01

    Graph models are developed for fixed-site safeguards systems. The problem of finding optimal routes for several sabotage teams is cast as a problem of finding shortest paths in a graph. The motivation, rationale, and interpretation of the mathematical models are discussed in detail, and an algorithm for efficiently solving the associated path problem is described

  19. East Tennessee State University's "Make a Difference" Project: Using a Team-Based Consultative Model To Conduct Functional Behavioral Assessments.

    Science.gov (United States)

    Vaughn, Kelley; Hales, Cindy; Bush, Marta; Fox, James

    1998-01-01

    Describes implementation of functional behavioral assessment (FBA) through collaboration between a university (East Tennessee State University) and the local school system. Discusses related issues such as factors in team training, team size, FBA adaptations, and replicability of the FBA team model. (Author/DB)

  20. Modelling the Progression of Competitive Performance of an Academy's Soccer Teams.

    Science.gov (United States)

    Malcata, Rita M; Hopkins, Will G; Richardson, Scott

    2012-01-01

    Progression of a team's performance is a key issue in competitive sport, but there appears to have been no published research on team progression for periods longer than a season. In this study we report the game-score progression of three teams of a youth talent-development academy over five seasons using a novel analytic approach based on generalised mixed modelling. The teams consisted of players born in 1991, 1992 and 1993; they played totals of 115, 107 and 122 games in Asia and Europe between 2005 and 2010 against teams differing in age by up to 3 years. Game scores predicted by the mixed model were assumed to have an over-dispersed Poisson distribution. The fixed effects in the model estimated an annual linear pro-gression for Aspire and for the other teams (grouped as a single opponent) with adjustment for home-ground advantage and for a linear effect of age difference between competing teams. A random effect allowed for different mean scores for Aspire and opposition teams. All effects were estimated as factors via log-transformation and presented as percent differences in scores. Inferences were based on the span of 90% confidence intervals in relation to thresholds for small factor effects of x/÷1.10 (+10%/-9%). Most effects were clear only when data for the three teams were combined. Older teams showed a small 27% increase in goals scored per year of age difference (90% confidence interval 13 to 42%). Aspire experienced a small home-ground advantage of 16% (-5 to 41%), whereas opposition teams experienced 31% (7 to 60%) on their own ground. After adjustment for these effects, the Aspire teams scored on average 1.5 goals per match, with little change in the five years of their existence, whereas their opponents' scores fell from 1.4 in their first year to 1.0 in their last. The difference in progression was trivial over one year (7%, -4 to 20%), small over two years (15%, -8 to 44%), but unclear over >2 years. In conclusion, the generalized mixed model

  1. Models of care choices in today's nursing workplace: where does team nursing sit?

    Science.gov (United States)

    Fairbrother, Greg; Chiarella, Mary; Braithwaite, Jeffrey

    2015-11-01

    This paper provides an overview of the developmental history of models of care (MOC) in nursing since Florence Nightingale introduced nurse training programs in a drive to make nursing a discipline-based career option. The four principal choices of models of nursing care delivery (primary nursing, individual patient allocation, team nursing and functional nursing) are outlined and discussed, and recent MOC literature reviewed. The paper suggests that, given the ways work is being rapidly reconfigured in healthcare services and the pressures on the nursing workforce projected into the future, team nursing seems to offer the best solutions.

  2. Effective Multi-Model Motion Tracking Under Multiple Team Member Actuators

    OpenAIRE

    Gu, Yang; Veloso, Manuela

    2009-01-01

    Motivated by the interactions between a team and the tracked target, we contribute a method to achieve efficient tracking through using a play-based motion model and combined vision and infrared sensory information. This method gives the robot a more exact task-specific motion model when executing different tactics over the tracked target (e.g. the ball) or collaborating with the tracked target (e.g. the team member). Then we represent the system in a compact dynamic Bayesian network and use ...

  3. Team Resilience as a Second-Order Emergent State: A Theoretical Model and Research Directions

    Directory of Open Access Journals (Sweden)

    Clint Bowers

    2017-08-01

    Full Text Available Resilience has been recognized as an important phenomenon for understanding how individuals overcome difficult situations. However, it is not only individuals who face difficulties; it is not uncommon for teams to experience adversity. When they do, they must be able to overcome these challenges without performance decrements.This manuscript represents a theoretical model that might be helpful in conceptualizing this important construct. Specifically, it describes team resilience as a second-order emergent state. We also include research propositions that follow from the model.

  4. Better Care Teams: A Stepwise Skill Reinforcement Model.

    Science.gov (United States)

    Christopher, Beth-Anne; Grantner, Mary; Coke, Lola A; Wideman, Marilyn; Kwakwa, Francis

    2016-06-01

    The Building Healthy Urban Communities initiative presents a path for organizations partnering to improve patient outcomes with continuing education (CE) as a key component. Components of the CE initiative included traditional CE delivery formats with an essential element of adaptability and new methods, with rigorous evaluation over time that included evaluation prior to the course, immediately following the CE session, 6 to 8 weeks after the CE session, and then subsequent monthly "testlets." Outcome measures were designed to allow for ongoing adaptation of content, reinforcement of key learning objectives, and use of innovative concordant testing and retrieval practice techniques. The results after 1 year of programming suggest the stepwise skill reinforcement model is effective for learning and is an efficient use of financial and human resources. More important, its design is one that could be adopted at low cost by organizations willing to work in close partnership. J Contin Educ Nurs. 2016;47(6):283-288. Copyright 2016, SLACK Incorporated.

  5. Adversarial reasoning and resource allocation: the LG approach

    Science.gov (United States)

    Stilman, Boris; Yakhnis, Vladimir; Umanskiy, Oleg; Boyd, Ron

    2005-05-01

    Many existing automated tools purporting to model the intelligent enemy utilize a fixed battle plan for the enemy while using flexible decisions of human players for the friendly side. According to the Naval Studies Board, "It is an open secret and a point of distress ... that too much of the substantive content of such M&S has its origin in anecdote, ..., or a narrow construction tied to stereotypical current practices of 'doctrinally correct behavior.'" Clearly, such runs lack objectivity by being heavily skewed in favor of the friendly forces. Presently, the military branches employ a variety of game-based simulators and synthetic environments, with manual (i.e., user-based) decision-making, for training and other purposes. However, without an ability to automatically generate the best strategies, tactics, and COA, the games serve mostly to display the current situation rather than form a basis for automated decision-making and effective training. We solve the problem of adversarial reasoning as a gaming problem employing Linguistic Geometry (LG), a new type of game theory demonstrating significant increase in size in gaming problems solvable in real and near-real time. It appears to be a viable approach for solving such practical problems as mission planning and battle management. Essentially, LG may be structured into two layers: game construction and game solving. Game construction includes construction of a game called an LG hypergame based on a hierarchy of Abstract Board Games (ABG). Game solving includes resource allocation for constructing an advantageous initial game state and strategy generation to reach a desirable final game state in the course of the game.

  6. VIGAN: Missing View Imputation with Generative Adversarial Networks.

    Science.gov (United States)

    Shang, Chao; Palmer, Aaron; Sun, Jiangwen; Chen, Ko-Shin; Lu, Jin; Bi, Jinbo

    2017-01-01

    In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collected from heterogeneous sources, resulting in multi-view or multi-modal datasets. The missing data problem has been challenging to address in multi-view data analysis. Especially, when certain samples miss an entire view of data, it creates the missing view problem. Classic multiple imputations or matrix completion methods are hardly effective here when no information can be based on in the specific view to impute data for such samples. The commonly-used simple method of removing samples with a missing view can dramatically reduce sample size, thus diminishing the statistical power of a subsequent analysis. In this paper, we propose a novel approach for view imputation via generative adversarial networks (GANs), which we name by VIGAN. This approach first treats each view as a separate domain and identifies domain-to-domain mappings via a GAN using randomly-sampled data from each view, and then employs a multi-modal denoising autoencoder (DAE) to reconstruct the missing view from the GAN outputs based on paired data across the views. Then, by optimizing the GAN and DAE jointly, our model enables the knowledge integration for domain mappings and view correspondences to effectively recover the missing view. Empirical results on benchmark datasets validate the VIGAN approach by comparing against the state of the art. The evaluation of VIGAN in a genetic study of substance use disorders further proves the effectiveness and usability of this approach in life science.

  7. Source Anonymity in WSNs against Global Adversary Utilizing Low Transmission Rates with Delay Constraints

    Directory of Open Access Journals (Sweden)

    Anas Bushnag

    2016-06-01

    Full Text Available Wireless sensor networks (WSN are deployed for many applications such as tracking and monitoring of endangered species, military applications, etc. which require anonymity of the origin, known as Source Location Privacy (SLP. The aim in SLP is to prevent unauthorized observers from tracing the source of a real event by analyzing the traffic in the network. Previous approaches to SLP such as Fortified Anonymous Communication Protocol (FACP employ transmission of real or fake packets in every time slot, which is inefficient. To overcome this shortcoming, we developed three different techniques presented in this paper. Dummy Uniform Distribution (DUD, Dummy Adaptive Distribution (DAD and Controlled Dummy Adaptive Distribution (CAD were developed to overcome the anonymity problem against a global adversary (which has the capability of analyzing and monitoring the entire network. Most of the current techniques try to prevent the adversary from perceiving the location and time of the real event whereas our proposed techniques confuse the adversary about the existence of the real event by introducing low rate fake messages, which subsequently lead to location and time privacy. Simulation results demonstrate that the proposed techniques provide reasonable delivery ratio, delay, and overhead of a real event's packets while keeping a high level of anonymity. Three different analysis models are conducted to verify the performance of our techniques. A visualization of the simulation data is performed to confirm anonymity. Further, neural network models are developed to ensure that the introduced techniques preserve SLP. Finally, a steganography model based on probability is implemented to prove the anonymity of the techniques.

  8. St George Acute Care Team: the local variant of crisis resolution model of care.

    Science.gov (United States)

    Cupina, Denise D; Wand, Anne P F; Phelan, Emma; Atkin, Rona

    2016-10-01

    The objective of this study was to describe functioning and clinical activities of the St George Acute Care Team and how it compares to the typical crisis resolution model of care. Descriptive data including demographics, sources of referral, type of clinical intervention, length of stay, diagnoses and outcomes were collected from records of all patients who were discharged from the team during a 10 week period. There were 677 referrals. The team's functions consisted of post-discharge follow-up (31%), triage and intake (30%), case management support (23%) and acute community based assessment and treatment (16%). The average length of stay was 5 days. The majority of patients were diagnosed with a mood (23%) or a psychotic (25%) disorder. Points of contrast to other reported crisis resolution teams include shorter length of stay, relatively less focus on direct clinical assessment and more telephone follow-up and triage. St George Acute Care Team provides a variety of clinical activities. The focus has shifted away from the original model of crisis resolution care to meet local and governmental requirements. © The Royal Australian and New Zealand College of Psychiatrists 2016.

  9. Mixed Methods Study Using Constructive Learning Team Model for Secondary Mathematics Teachers

    Science.gov (United States)

    Ritter, Kristy L.

    2010-01-01

    The constructive learning team model for secondary mathematics teachers (CLTM) was created to provide students with learning opportunities and experiences that address deficiencies in oral and written communication, logical processes and analysis, mathematical operations, independent learning, teamwork, and technology utilization. This study…

  10. Hypothetical model of factors determining performance and sports achievement in team sports

    Directory of Open Access Journals (Sweden)

    Trninić Marko

    2011-01-01

    Full Text Available The objective of this paper is formation of a comprehensive hypothetical dynamic interactional process model structured by assumed constructs, i.e. processes or mechanisms that obtain real features and influences on athlete's performance and athletic achievement. Thus there are formed and assumed reciprocal relations between high training and competition - based stress as the input variable, cognitive appraisal and interpretation as the mediator, and mood state as the moderator based on the development of the dynamic systems theory. Also, proposed model uses basic assumptions of the Action-Theory approach and it is in accordance with the contemporary socialcognitive view of team functioning in sports. Within the process model, the output variables are measures of efficacy evident through athlete's individual and team performance and athletic achievement. The situation, the team and athlete attributes, the performance and the athletic achievement are joined variables, and the individual and the collective efficacy are the consequence of their reciprocal interaction. Therefore, there are complex and reciprocal interactive processes in real sports and explorative situations amongst the attributes of athlete and team and the behaviour and situation that determine performance and athletic achievement. This is probably the result of an integrated network of reciprocal multi-causal activity of a set of stated assumed constructs from different theories. Thus the hypothetical model is an effort to describe elaborate correlations and/or interdependencies between internal and external determinants which presumably affect athlete's performance and athletic achievement.

  11. Modeling and Quantification of Team Performance in Human Reliability Analysis for Probabilistic Risk Assessment

    Energy Technology Data Exchange (ETDEWEB)

    Jeffrey C. JOe; Ronald L. Boring

    2014-06-01

    Probabilistic Risk Assessment (PRA) and Human Reliability Assessment (HRA) are important technical contributors to the United States (U.S.) Nuclear Regulatory Commission’s (NRC) risk-informed and performance based approach to regulating U.S. commercial nuclear activities. Furthermore, all currently operating commercial NPPs in the U.S. are required by federal regulation to be staffed with crews of operators. Yet, aspects of team performance are underspecified in most HRA methods that are widely used in the nuclear industry. There are a variety of "emergent" team cognition and teamwork errors (e.g., communication errors) that are 1) distinct from individual human errors, and 2) important to understand from a PRA perspective. The lack of robust models or quantification of team performance is an issue that affects the accuracy and validity of HRA methods and models, leading to significant uncertainty in estimating HEPs. This paper describes research that has the objective to model and quantify team dynamics and teamwork within NPP control room crews for risk informed applications, thereby improving the technical basis of HRA, which improves the risk-informed approach the NRC uses to regulate the U.S. commercial nuclear industry.

  12. Proposal of a Model for effective Management and Development of virtual Teams

    Directory of Open Access Journals (Sweden)

    Petr Skyrik

    2010-10-01

    Full Text Available The main aim of this paper is to present a pilot proposal of a model of “Virtual Development Management System” (ViDeMaS which will facilitate more effective management and development of virtual teams. Management and development of virtual teams is not a simple concept. It comprises a body of knowledge from a number of fields and scientific disciplines. The complexity of the concept may not be simplified as it is absolutely essential for full understanding of its nature. In order to gain better orientation in the concept, different perspectives will be used in the description of the model, which will enable us to achieve the goal of the work and to present the main results of the work (creation of a model for Virtual Development Management System. The present paper thus describes from different perspectives the proposal of a sufficiently detailed and complex model that may be utilized both on theoretical and application level.

  13. Comparison of Two Team Learning and Team Entrepreneurship Models at a Finnish University of Applied Sciences. Setting the Scene for Future Development

    Directory of Open Access Journals (Sweden)

    Pasi Juvonen

    2017-02-01

    Full Text Available This team learning and team entre-preneurship model of education has been deployed at the Bachelor’s level in the degree programmes of IT and Business Administration (BA. In BA studies the students who take part in team learning have specialized in marketing since 2009 at the Saimaa University of Applied Sciences (SUAS. The model called ICT entrepreneurship study path (ICT-ESP has been developed for IT education. The ICT-ESP has been built on the theory of experien-tal learning and theories of knowledge creation and knowledge management. The students study and complete their degree as team entrepreneurs. The model has been further developed in the Business Administration Degree Programme with students who specialize in marketing. The Degree Programme in IT at the Bachelor’s level was terminated in 2011 by Finnish Min-istry of Education and Culture. Cur-rently, there are severe discussions on bringing it back – not as an IT but as an ICT Degree Programme. This article makes a cross-section of what has already been explored with the team learning and team entrepreneurship model and what the next steps will be. It makes a comparison of two originally sep-arately developed models and dis-cusses their best practices. The arti-cle also argues whether the upcom-ing ICT education should be orga-nized in a conventional way – as curriculum of courses, or as expan-sion of the current team learning and team entrepreneurship model. The data consists of field notes, meeting memos, and dozens of un-official discussions with colleagues and company representatives. Liter-ature studies made during the ongo-ing research, development, and in-novation (RDI projects offered an extra view of how the business con-text is changing and what should be done to make benefit out of the change. The results suggest that the up-coming ICT Degree Programme at SUAS should be integrated into the existing deployment of team learning and team entrepreneurship learning

  14. Speech-Driven Facial Reenactment Using Conditional Generative Adversarial Networks

    OpenAIRE

    Jalalifar, Seyed Ali; Hasani, Hosein; Aghajan, Hamid

    2018-01-01

    We present a novel approach to generating photo-realistic images of a face with accurate lip sync, given an audio input. By using a recurrent neural network, we achieved mouth landmarks based on audio features. We exploited the power of conditional generative adversarial networks to produce highly-realistic face conditioned on a set of landmarks. These two networks together are capable of producing a sequence of natural faces in sync with an input audio track.

  15. Online Evolution for Multi-Action Adversarial Games

    OpenAIRE

    Justesen, Niels; Mahlmann, Tobias; Togelius, Julian

    2016-01-01

    We present Online Evolution, a novel method for playing turn-based multi-action adversarial games. Such games, which include most strategy games, have extremely high branching factors due to each turn having multiple actions. In Online Evolution, an evolutionary algorithm is used to evolve the combination of atomic actions that make up a single move, with a state evaluation function used for fitness. We implement Online Evolution for the turn-based multi-action game Hero Academy and compare i...

  16. A5: Automated Analysis of Adversarial Android Applications

    Science.gov (United States)

    2014-06-03

    A5: Automated Analysis of Adversarial Android Applications Timothy Vidas, Jiaqi Tan, Jay Nahata, Chaur Lih Tan, Nicolas Christin...detecting, on the device itself, that an application is malicious is much more complex without elevated privileges . In other words, given the...interface via website. Blasing et al. [7] describe another dynamic analysis system for Android . Their system focuses on classifying input applications as

  17. Cooperative Control of Distributed Autonomous Vehicles in Adversarial Environments

    Science.gov (United States)

    2006-08-14

    COOPERATIVE CONTROL OF DISTRIBUTED AUTONOMOUS VEHICLES IN ADVERSARIAL ENVIRONMENTS Grant #F49620–01–1–0361 Final Report Jeff Shamma Department of...CONTRACT NUMBER F49620-01-1-0361 5b. GRANT NUMBER 4. TITLE AND SUBTITLE COOPERATIVE CONTROL OF DISTRIBUTED AUTONOMOUS VEHICLES IN...single dominant language or a distribution of languages. A relation to multivehicle systems is understanding how highly autonomous vehicles on extended

  18. Cognitive-Emotional Conflict: Adversary Will and Social Resilience

    Science.gov (United States)

    2017-12-21

    effectively with skilled adversaries in the realm of social media . This admit- tedly is a complex problem for any open, democratic society that does not... social media of the targeted populations. Rather than inciting a population to take a particular action, as the leak of the Zimmerman telegram did in...produced by the 24/7 news cycle, amplified and accelerated by social media . National Level Most Americans do not recognize the threats posed by

  19. Generative adversarial network based telecom fraud detection at the receiving bank.

    Science.gov (United States)

    Zheng, Yu-Jun; Zhou, Xiao-Han; Sheng, Wei-Guo; Xue, Yu; Chen, Sheng-Yong

    2018-06-01

    Recently telecom fraud has become a serious problem especially in developing countries such as China. At present, it can be very difficult to coordinate different agencies to prevent fraud completely. In this paper we study how to detect large transfers that are sent from victims deceived by fraudsters at the receiving bank. We propose a new generative adversarial network (GAN) based model to calculate for each large transfer a probability that it is fraudulent, such that the bank can take appropriate measures to prevent potential fraudsters to take the money if the probability exceeds a threshold. The inference model uses a deep denoising autoencoder to effectively learn the complex probabilistic relationship among the input features, and employs adversarial training that establishes a minimax game between a discriminator and a generator to accurately discriminate between positive samples and negative samples in the data distribution. We show that the model outperforms a set of well-known classification methods in experiments, and its applications in two commercial banks have reduced losses of about 10 million RMB in twelve weeks and significantly improved their business reputation. Copyright © 2018 Elsevier Ltd. All rights reserved.

  20. Development and validation of a heuristic model for evaluation of the team performance of operators in nuclear power plants

    International Nuclear Information System (INIS)

    Kim, Sa Kil; Byun, Seong Nam; Lee, Dhong Hoon

    2011-01-01

    Highlights: → We develop an estimation model for evaluation of the team performance of MCR. → To build the model, we extract team performance factors through reviewing literatures and identifying behavior markers. → We validate that the model is adaptable to the advanced MCR of nuclear power plants. → As a result, we find that the model is a systematic and objective to measure team performance. - Abstract: The global concerns about safety in the digital technology of the main control room (MCR) are growing as domestic and foreign nuclear power plants are developed with computerized control facilities and human-system interfaces. In a narrow space, the digital technology contributes to a control room environment, which can facilitate the acquisition of all the information needed for operation. Thus, although an individual performance of the advanced MCR can be further improved; there is a limit in expecting an improvement in team performance. The team performance depends on organic coherence as a whole team rather than on the knowledge and skill of an individual operator. Moreover, a good team performance improves communication between and within teams in an efficient manner, and then it can be conducive to addressing unsafe conditions. Respecting this, it is important and necessary to develop methodological technology for the evaluation of operators' teamwork or collaboration, thus enhancing operational performance in nuclear power plant at the MCR. The objectives of this research are twofold: to develop a systematic methodology for evaluation of the team performance of MCR operators in consideration of advanced MCR characteristics, and to validate that the methodology is adaptable to the advanced MCR of nuclear power plants. In order to achieve these two objectives, first, team performance factors were extracted through literature reviews and methodological study concerning team performance theories. Second, the team performance factors were identified and

  1. Modeling the Office of Science ten year facilities plan: The PERI Architecture Tiger Team

    International Nuclear Information System (INIS)

    Supinski, Bronis R de; Gamblin, Todd; Schulz, Martin

    2009-01-01

    The Performance Engineering Institute (PERI) originally proposed a tiger team activity as a mechanism to target significant effort optimizing key Office of Science applications, a model that was successfully realized with the assistance of two JOULE metric teams. However, the Office of Science requested a new focus beginning in 2008: assistance in forming its ten year facilities plan. To meet this request, PERI formed the Architecture Tiger Team, which is modeling the performance of key science applications on future architectures, with S3D, FLASH and GTC chosen as the first application targets. In this activity, we have measured the performance of these applications on current systems in order to understand their baseline performance and to ensure that our modeling activity focuses on the right versions and inputs of the applications. We have applied a variety of modeling techniques to anticipate the performance of these applications on a range of anticipated systems. While our initial findings predict that Office of Science applications will continue to perform well on future machines from major hardware vendors, we have also encountered several areas in which we must extend our modeling techniques in order to fulfill our mission accurately and completely. In addition, we anticipate that models of a wider range of applications will reveal critical differences between expected future systems, thus providing guidance for future Office of Science procurement decisions, and will enable DOE applications to exploit machines in future facilities fully.

  2. Vulnerability assessment: Determining probabilities of neutralization of adversaries

    International Nuclear Information System (INIS)

    Graves, B.R.

    1987-01-01

    The Security Manager charged with the responsibility of designing Safeguards and Security Systems at Department of Energy facilities must take many factors into consideration. There must be a clear understanding, supported by documented guidance, of the level of threat to be addressed; the nature of the facility to be protected, and the funds available to design, implement, and maintain the Safeguards and Security System. Armed with these prerequisites, the Security Manager may then determine the characteristics of the Safeguards measures and security forces necessary to protect the facility. Security forces selection and training programs may then be established based on realistic facility needs. The next step is to attempt to determine the probability of security forces winning in a confrontation with adversaries. To determine the probability of success the Security Manager must consider the characteristics of the facility and surrounding area; the characteristics of the security forces and safeguards system at the facility; the response time and capabilities of the augmentation forces and the characteristics and capabilities of the adversary threat level to be addressed. Obviously, the Safeguards and Security Systems must initially address ''worst case'' scenarios consistent with stated guidelines. Validation of the assessment of the Safeguards and Security Systems must then be determined by simulation testing of the capabilities of the response forces against the capabilities of the adversary

  3. Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering

    KAUST Repository

    Alabdulmohsin, Ibrahim

    2014-01-01

    Many classification algorithms have been successfully deployed in security-sensitive applications including spam filters and intrusion detection systems. Under such adversarial environments, adversaries can generate exploratory attacks against the defender such as evasion and reverse engineering. In this paper, we discuss why reverse engineering attacks can be carried out quite efficiently against fixed classifiers, and investigate the use of randomization as a suitable strategy for mitigating their risk. In particular, we derive a semidefinite programming (SDP) formulation for learning a distribution of classifiers subject to the constraint that any single classifier picked at random from such distribution provides reliable predictions with a high probability. We analyze the tradeoff between variance of the distribution and its predictive accuracy, and establish that one can almost always incorporate randomization with large variance without incurring a loss in accuracy. In other words, the conventional approach of using a fixed classifier in adversarial environments is generally Pareto suboptimal. Finally, we validate such conclusions on both synthetic and real-world classification problems. Copyright 2014 ACM.

  4. Team Investment and Longitudinal Relationships: An Innovative Global Health Education Model.

    Science.gov (United States)

    Myers, Kimberly R; Fredrick, N Benjamin

    2017-12-01

    Increasing student interest in global health has resulted in medical schools offering more global health opportunities. However, concerns have been raised, particularly about one-time, short-term experiences, including lack of follow-through for students and perpetuation of unintentional messages of global health heroism, neocolonialism, and disregard for existing systems and communities of care. Medical schools must develop global health programs that address these issues. The Global Health Scholars Program (GHSP) was created in 2008-2009 at Penn State College of Medicine. This four-year program is based on values of team investment and longitudinal relationships and uses the service-learning framework of preparation, service, and reflection. Teams of approximately five students, with faculty oversight, participate in two separate monthlong trips abroad to the same host community in years 1 and 4, and in campus- and Web-based activities in years 2 and 3. As of December 2016, 191 students have been accepted into the GHSP. Since inception, applications have grown by 475% and program sites have expanded from one to seven sites on four continents. The response from students has been positive, but logistical challenges persist in sustaining team investment and maintaining longitudinal relationships between student teams and host communities. Formal methods of assessment should be used to compare the GHSP model with more traditional approaches to global health education. Other medical schools with similar aims can adapt the GHSP model to expand their global health programming.

  5. Ready to learn physics: a team-based learning model for first year university

    Science.gov (United States)

    Parappilly, Maria; Schmidt, Lisa; De Ritter, Samantha

    2015-09-01

    Team-based learning (TBL) is an established model of group work which aims to improve students' ability to apply discipline-related content. TBL consists of a readiness assurance process (RAP), student groups and application activities. While TBL has not been implemented widely in science, technology, engineering and mathematics disciplines, it has been effective in improving student learning in other disciplines. This paper describes the incorporation of TBL activities into a non-calculus based introductory level physics topic—Physics for the Modern World. Students were given pre-class preparation materials and an individual RAP online test before the workshops. The pre-workshop individual RAP test ensured that all students were exposed to concept-based questions before their workshops and motivated them to use the preparatory materials in readiness for the workshop. The students were placed into random teams and during the first part of the workshop, the teams went through a subset of the quiz questions (team RAP test) and in the remaining time, teams completed an in-class assignment. After the workshop students were allowed another attempt at the individual RAP test to see if their knowledge had improved. The ability of TBL to promote student learning of key concepts was evaluated by experiment using pre- and post- testing. The students’ perception of TBL was monitored by discussion posts and survey responses. Finally, the ability of TBL to support peer-peer interaction was evaluated by video analysis of the class. We found that the TBL process improved student learning; students did interact with each other in class; and the students had a positive view of TBL. To assess the transferability of this model to other topics, we conducted a comparison study with an environmental science topic which produced similar results. Our study supports the use of this TBL model in science topics.

  6. PENGARUH MODEL COOPERATIVE LEARNING TIPE TEAMS GAMES TOURNAMENT (TGT TERHADAP KECERDASAN INTERPERSONAL PADA MATA PELAJARAN IPS

    Directory of Open Access Journals (Sweden)

    Mari anti

    2017-12-01

    Full Text Available Interpersonal intelligence is one of the goals in elementary school education. Interpersonal intelligence is a key element in the adaptation of children in their social relationships. SDN Kebon Jeruk 11 Pagi West Jakarta found a number of 19 students of 30 children (63% have barriers Interpersonal intelligence. Quantitative Research with One Shot Case Study Experiment using sample saturated with size 30 in research influence influence model cooperative learning type Teams Games Tournament (TGT to interpersonal intelligence. The results of this study prove that: The more effective the steps of cooperative learning model type TGT done then the better the interpersonal intelligence. So in this research result that model Cooperative Learning type Teams Games Tournament (TGT have positive effect to interpersonal intelligence.

  7. Learning Perfectly Secure Cryptography to Protect Communications with Adversarial Neural Cryptography

    Directory of Open Access Journals (Sweden)

    Murilo Coutinho

    2018-04-01

    Full Text Available Researches in Artificial Intelligence (AI have achieved many important breakthroughs, especially in recent years. In some cases, AI learns alone from scratch and performs human tasks faster and better than humans. With the recent advances in AI, it is natural to wonder whether Artificial Neural Networks will be used to successfully create or break cryptographic algorithms. Bibliographic review shows the main approach to this problem have been addressed throughout complex Neural Networks, but without understanding or proving the security of the generated model. This paper presents an analysis of the security of cryptographic algorithms generated by a new technique called Adversarial Neural Cryptography (ANC. Using the proposed network, we show limitations and directions to improve the current approach of ANC. Training the proposed Artificial Neural Network with the improved model of ANC, we show that artificially intelligent agents can learn the unbreakable One-Time Pad (OTP algorithm, without human knowledge, to communicate securely through an insecure communication channel. This paper shows in which conditions an AI agent can learn a secure encryption scheme. However, it also shows that, without a stronger adversary, it is more likely to obtain an insecure one.

  8. Learning Perfectly Secure Cryptography to Protect Communications with Adversarial Neural Cryptography.

    Science.gov (United States)

    Coutinho, Murilo; de Oliveira Albuquerque, Robson; Borges, Fábio; García Villalba, Luis Javier; Kim, Tai-Hoon

    2018-04-24

    Researches in Artificial Intelligence (AI) have achieved many important breakthroughs, especially in recent years. In some cases, AI learns alone from scratch and performs human tasks faster and better than humans. With the recent advances in AI, it is natural to wonder whether Artificial Neural Networks will be used to successfully create or break cryptographic algorithms. Bibliographic review shows the main approach to this problem have been addressed throughout complex Neural Networks, but without understanding or proving the security of the generated model. This paper presents an analysis of the security of cryptographic algorithms generated by a new technique called Adversarial Neural Cryptography (ANC). Using the proposed network, we show limitations and directions to improve the current approach of ANC. Training the proposed Artificial Neural Network with the improved model of ANC, we show that artificially intelligent agents can learn the unbreakable One-Time Pad (OTP) algorithm, without human knowledge, to communicate securely through an insecure communication channel. This paper shows in which conditions an AI agent can learn a secure encryption scheme. However, it also shows that, without a stronger adversary, it is more likely to obtain an insecure one.

  9. Team-Based Models for End-of-Life Care: An Evidence-Based Analysis

    Science.gov (United States)

    2014-01-01

    Background End of life refers to the period when people are living with advanced illness that will not stabilize and from which they will not recover and will eventually die. It is not limited to the period immediately before death. Multiple services are required to support people and their families during this time period. The model of care used to deliver these services can affect the quality of the care they receive. Objectives Our objective was to determine whether an optimal team-based model of care exists for service delivery at end of life. In systematically reviewing such models, we considered their core components: team membership, services offered, modes of patient contact, and setting. Data Sources A literature search was performed on October 14, 2013, using Ovid MEDLINE, Ovid MEDLINE In-Process and Other Non-Indexed Citations, Ovid Embase, EBSCO Cumulative Index to Nursing & Allied Health Literature (CINAHL), and EBM Reviews, for studies published from January 1, 2000, to October 14, 2013. Review Methods Abstracts were reviewed by a single reviewer and full-text articles were obtained that met the inclusion criteria. Studies were included if they evaluated a team model of care compared with usual care in an end-of-life adult population. A team was defined as having at least 2 health care disciplines represented. Studies were limited to English publications. A meta-analysis was completed to obtain pooled effect estimates where data permitted. The GRADE quality of the evidence was evaluated. Results Our literature search located 10 randomized controlled trials which, among them, evaluated the following 6 team-based models of care: hospital, direct contact home, direct contact home, indirect contact comprehensive, indirect contact comprehensive, direct contact comprehensive, direct, and early contact Direct contact is when team members see the patient; indirect contact is when they advise another health care practitioner (e.g., a family doctor) who sees

  10. A proposal for operator team behavior model and operator's thinking mechanism

    International Nuclear Information System (INIS)

    Yoshimura, Seiichi; Takano, Kenichi; Sasou, Kunihide

    1995-01-01

    Operating environment in huge systems like nuclear power plants or airplanes is changing rapidly with the advance of computer technology. It is necessary to elucidate thinking process of operators and decision-making process of an operator team in abnormal situations, in order to prevent human errors under such environment. The Central Research Institute of Electric Power Industry is promoting a research project to establish human error prevention countermeasures by modeling and simulating the thinking process of operators and decision-making process of an operator team. In the previous paper, application of multilevel flow modeling was proposed to a mental model which conducts future prediction and cause identification, and the characteristics were verified by experienced plant operators. In this paper, an operator team behavior model and a fundamental operator's thinking mechanism especially 'situation understanding' are proposed, and the proposals are evaluated by experiments using a full-scale simulator. The results reveal that some assumptions such as 'communication is done between a leader and a follower' are almost appropriate and that the situation understanding can be represented by 'probable candidates for cause, determination of a parameter which changes when an event occurs, determination of parameters which are influenced by the change of the previous parameter, determination of a principal parameter and future prediction of the principal parameter'. (author)

  11. A model-based framework for the analysis of team communication in nuclear power plants

    International Nuclear Information System (INIS)

    Chung, Yun Hyung; Yoon, Wan Chul; Min, Daihwan

    2009-01-01

    Advanced human-machine interfaces are rapidly changing the interaction between humans and systems, with the level of abstraction of the presented information, the human task characteristics, and the modes of communication all affected. To accommodate the changes in the human/system co-working environment, an extended communication analysis framework is needed that can describe and relate the tasks, verbal exchanges, and information interface. This paper proposes an extended analytic framework, referred to as the H-H-S (human-human-system) communication analysis framework, which can model the changes in team communication that are emerging in these new working environments. The stage-specific decision-making model and analysis tool of the proposed framework make the analysis of team communication easier by providing visual clues. The usefulness of the proposed framework is demonstrated with an in-depth comparison of the characteristics of communication in the conventional and advanced main control rooms of nuclear power plants

  12. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

    OpenAIRE

    Zhang, Han; Xu, Tao; Li, Hongsheng; Zhang, Shaoting; Wang, Xiaogang; Huang, Xiaolei; Metaxas, Dimitris

    2017-01-01

    Although Generative Adversarial Networks (GANs) have shown remarkable success in various tasks, they still face challenges in generating high quality images. In this paper, we propose Stacked Generative Adversarial Networks (StackGAN) aiming at generating high-resolution photo-realistic images. First, we propose a two-stage generative adversarial network architecture, StackGAN-v1, for text-to-image synthesis. The Stage-I GAN sketches the primitive shape and colors of the object based on given...

  13. Team Resilience Training in the Workplace: E-Learning Adaptation, Measurement Model, and Two Pilot Studies.

    Science.gov (United States)

    Bennett, Joel B; Neeper, Michael; Linde, Brittany D; Lucas, Gale M; Simone, Lindsay

    2018-05-02

    The majority of resilience interventions focus on the individual. Workplace resilience is a growing field of research. Given the ever-increasing interconnectedness in businesses, teamwork is a guarantee. There is also growing recognition that resilience functions at the team level. The objective of our work was to address three shortcomings in the study of workplace resilience interventions: lack of interventions focusing on group-level or team resilience, the need for brief interventions, and the need for more theoretical precision in intervention studies. The authors took an established evidence-based program (Team Resilience) and modified it based on these needs. A working model for brief intervention evaluation distinguishes outcomes that are proximal (perceptions that the program improved resilience) and distal (dispositional resilience). A total of 7 hypotheses tested the model and program efficacy. Two samples (n=118 and n=181) of engineering firms received the Web-based training and provided immediate reactions in a posttest-only design. The second sample also included a control condition (n=201). The findings support the model and program efficacy. For example, workplace resilience was greater in the intervention group than in the control group. Other findings suggest social dissemination effects, equal outcomes for employees at different stress levels, and greater benefit for females. This preliminary research provides evidence for the capabilities of e-learning modules to effectively promote workplace resilience and a working model of team resilience. ©Joel B Bennett, Michael Neeper, Brittany D Linde, Gale M Lucas, Lindsay Simone. Originally published in JMIR Mental Health (http://mental.jmir.org), 02.05.2018.

  14. Efficient Work Team Scheduling: Using Psychological Models of Knowledge Retention to Improve Code Writing Efficiency

    Directory of Open Access Journals (Sweden)

    Michael J. Pelosi

    2014-12-01

    Full Text Available Development teams and programmers must retain critical information about their work during work intervals and gaps in order to improve future performance when work resumes. Despite time lapses, project managers want to maximize coding efficiency and effectiveness. By developing a mathematically justified, practically useful, and computationally tractable quantitative and cognitive model of learning and memory retention, this study establishes calculations designed to maximize scheduling payoff and optimize developer efficiency and effectiveness.

  15. Frugal Innovation and development: Aides or adversaries?

    NARCIS (Netherlands)

    Knorringa, P; I, Peša; Leliveld, A; van Beers, C.P.

    2016-01-01

    Frugal innovation aims to bring products, services and systems within the reach of billions of poor and emerging middle-class consumers. Through significantly cutting costs while safeguarding user value, frugal innovation opens opportunities for new business models and may well disrupt innovation

  16. How do leader-member exchange quality and differentiation affect performance in teams? An integrated multilevel dual process model.

    Science.gov (United States)

    Li, Alex Ning; Liao, Hui

    2014-09-01

    Integrating leader-member exchange (LMX) research with role engagement theory (Kahn, 1990) and role system theory (Katz & Kahn, 1978), we propose a multilevel, dual process model to understand the mechanisms through which LMX quality at the individual level and LMX differentiation at the team level simultaneously affect individual and team performance. With regard to LMX differentiation, we introduce a new configural approach focusing on the pattern of LMX differentiation to complement the traditional approach focusing on the degree of LMX differentiation. Results based on multiphase, multisource data from 375 employees of 82 teams revealed that, at the individual level, LMX quality positively contributed to customer-rated employee performance through enhancing employee role engagement. At the team level, LMX differentiation exerted negative influence on teams' financial performance through disrupting team coordination. In particular, teams with the bimodal form of LMX configuration (i.e., teams that split into 2 LMX-based subgroups with comparable size) suffered most in team performance because they experienced greatest difficulty in coordinating members' activities. Furthermore, LMX differentiation strengthened the relationship between LMX quality and role engagement, and team coordination strengthened the relationship between role engagement and employee performance. Theoretical and practical implications of the findings are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.

  17. Domain Adversarial for Acoustic Emotion Recognition

    OpenAIRE

    Abdelwahab, Mohammed; Busso, Carlos

    2018-01-01

    The performance of speech emotion recognition is affected by the differences in data distributions between train (source domain) and test (target domain) sets used to build and evaluate the models. This is a common problem, as multiple studies have shown that the performance of emotional classifiers drop when they are exposed to data that does not match the distribution used to build the emotion classifiers. The difference in data distributions becomes very clear when the training and testing...

  18. PENERAPAN MODEL PEMBELAJARAN TEAMS GAMES TOURNAMENTS (TGT PADA MATERI REDOKS UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA

    Directory of Open Access Journals (Sweden)

    R. Hiliasih

    2017-01-01

    Full Text Available Abstract: This study aims to increase students' motivation through cooperative learning model type Teams Games Tournament (TGT on the redox material. The method used is classroom action research with two cycles. Samples were 10 grade students of SMAN 5 Tangerang City. Data collection techniques gained through an essay test instruments and motivation questionnaire. Data were analyzed student motivation questionnaire average value in the description and essay tests were analyzed by calculating the value of N-Gain (%. The results showed that: (1 the average value of students' motivation to learn chemistry after participating TGT cooperative learning both in the first cycle and the second cycle were increased, 73.53 (medium category and 79.44 (high category respectively. (2 The percentage of the average value of the N-Gain (% in the first cycle is at 69.53 (medium category. While on the second cycle percentage of the average value of the N-Gain (% amounted to 79.72 (high category. (3 The percentage of students who achieve the minimum criteria of mastery learning (KKM in the first cycle of 65.79% and the second cycle of 78.95%. This shows that the cooperative learning model type Teams Games Tournament (TGT can increase learning motivation and mastery of the concept dvof redox chemistry students. Abstrak: Penelitian ini bertujuan untuk meningkatkan motivasi belajar siswa melalui model pembelajaran kooperatif tipe Teams Games Tournament (TGT pada materi redoks. Metode yang digunakan dalam penelitian ini adalah penelitian tindakan kelas dengan 2 siklus. Sampel penelitian adalah siswa kelas X SMAN 5 Kota Tangerang Selatan. Teknik pengumpulan data diperoleh melalui instrumen tes esai dan angket motivasi. Data hasil angket motivasi siswa dianalisis nilai rata-ratanya secara deskripsi dan tes esai dianalisis dengan cara menghitung nilai N-Gain (%. Hasil penelitian menunjukkan bahwa: (1 nilai rata-rata motivasi belajar kimia siswa dengan menggunakan model

  19. Lead us not into tanktation: a simulation modelling approach to gain insights into incentives for sporting teams to tank.

    Directory of Open Access Journals (Sweden)

    Geoffrey N Tuck

    Full Text Available Annual draft systems are the principal method used by teams in major sporting leagues to recruit amateur players. These draft systems frequently take one of three forms: a lottery style draft, a weighted draft, or a reverse-order draft. Reverse-order drafts can create incentives for teams to deliberately under-perform, or tank, due to the perceived gain from obtaining quality players at higher draft picks. This paper uses a dynamic simulation model that captures the key components of a win-maximising sporting league, including the amateur player draft, draft choice error, player productivity, and between-team competition, to explore how competitive balance and incentives to under-perform vary according to league characteristics. We find reverse-order drafts can lead to some teams cycling between success and failure and to other teams being stuck in mid-ranking positions for extended periods of time. We also find that an incentive for teams to tank exists, but that this incentive decreases (i as uncertainty in the ability to determine quality players in the draft increases, (ii as the number of teams in the league reduces, (iii as team size decreases, and (iv as the number of teams adopting a tanking strategy increases. Simulation models can be used to explore complex stochastic dynamic systems such as sports leagues, where managers face difficult decisions regarding the structure of their league and the desire to maintain competitive balance.

  20. Lead us not into tanktation: a simulation modelling approach to gain insights into incentives for sporting teams to tank.

    Science.gov (United States)

    Tuck, Geoffrey N; Whitten, Athol R

    2013-01-01

    Annual draft systems are the principal method used by teams in major sporting leagues to recruit amateur players. These draft systems frequently take one of three forms: a lottery style draft, a weighted draft, or a reverse-order draft. Reverse-order drafts can create incentives for teams to deliberately under-perform, or tank, due to the perceived gain from obtaining quality players at higher draft picks. This paper uses a dynamic simulation model that captures the key components of a win-maximising sporting league, including the amateur player draft, draft choice error, player productivity, and between-team competition, to explore how competitive balance and incentives to under-perform vary according to league characteristics. We find reverse-order drafts can lead to some teams cycling between success and failure and to other teams being stuck in mid-ranking positions for extended periods of time. We also find that an incentive for teams to tank exists, but that this incentive decreases (i) as uncertainty in the ability to determine quality players in the draft increases, (ii) as the number of teams in the league reduces, (iii) as team size decreases, and (iv) as the number of teams adopting a tanking strategy increases. Simulation models can be used to explore complex stochastic dynamic systems such as sports leagues, where managers face difficult decisions regarding the structure of their league and the desire to maintain competitive balance.

  1. Prerequisites for sustainable care improvement using the reflective team as a work model.

    Science.gov (United States)

    Jonasson, Lise-Lotte; Carlsson, Gunilla; Nyström, Maria

    2014-01-01

    Several work models for care improvement have been developed in order to meet the requirement for evidence-based care. This study examines a work model for reflection, entitled the reflective team (RT). The main idea behind RTs is that caring skills exist among those who work closest to the patients. The team leader (RTL) encourages sustainable care improvement, rooted in research and proven experience, by using a lifeworld perspective to stimulate further reflection and a developmental process leading to research-based caring actions within the team. In order to maintain focus, it is important that the RTL has a clear idea of what sustainable care improvement means, and what the prerequisites are for such improvement. The aim of the present study is, therefore, to explore the prerequisites for improving sustainable care, seeking to answer how RTLs perceive these and use RTs for concrete planning. Nine RTLs were interviewed, and their statements were phenomenographically analysed. The analysis revealed three separate qualitative categories, which describe personal, interpersonal, and structural aspects of the prerequisites. In the discussion, these categories are compared with previous research on reflection, and the conclusion is reached that the optimal conditions for RTs to work, when focussed on sustainable care improvement, occur when the various aspects of the prerequisites are intertwined and become a natural part of the reflective work.

  2. American College Football Division I Team Attachment: A Model for Sponsorship Effectiveness

    Directory of Open Access Journals (Sweden)

    Hsin-Chung Chen

    2013-10-01

    Full Text Available The purpose of this study was to examine sponsorship effectiveness at the Division I level, including the relationship between fans and sponsors. To collect the necessary data, the 13-item questionnaire was disseminated at two college football games by volunteer sampling at three Division I universities in the United States. With a total of 407 respondents, LISREL 8.52 and SPSS 17.0 were used to analyze the data for descriptive statistics, CFA, and SEM. By utilizing SEM, the variables of team attachment, sponsor image, word of mouth, and purchase intentions fit the proposed model.  Pragmatically, the significance of team attachment can be understated in its role as an initial construct to begin the sponsorship process. Considering the construct of sponsor image as a mediating variable, sponsor image played an important role to anticipate an increase in positive word of mouth or an increase in consumer purchase intentions.

  3. Modeling the Design Team as a Temporary Management Structure: Reality versus Theory

    Directory of Open Access Journals (Sweden)

    Kathy Michell

    2012-11-01

    Full Text Available The focus of the cost management literature is almost exclusively on technical issues, with scant attention to its social, political and organisational dimensions. In this paper the authors document research examining the design team as a temporary management structure, with emphasis on the efficacy of the cost management system as a vehicle for attaining client objectives with respect to time, cost and quality. Soft systems methodology is used to explore the perceptions of stakeholders to the cost management system, thus developing conceptual models of the theory and practice of cost management. Significant differences were found to exist between the perceptions of individual stakeholders concerning design team participants, participants’ roles, and the very purpose of the cost management system. Recommendations are made for structural, attitudinal and procedural changes to the cost management system in order to facilitate its effective functioning in the achievement of the client’s needs and objectives.

  4. Randomized Prediction Games for Adversarial Machine Learning.

    Science.gov (United States)

    Rota Bulo, Samuel; Biggio, Battista; Pillai, Ignazio; Pelillo, Marcello; Roli, Fabio

    In spam and malware detection, attackers exploit randomization to obfuscate malicious data and increase their chances of evading detection at test time, e.g., malware code is typically obfuscated using random strings or byte sequences to hide known exploits. Interestingly, randomization has also been proposed to improve security of learning algorithms against evasion attacks, as it results in hiding information about the classifier to the attacker. Recent work has proposed game-theoretical formulations to learn secure classifiers, by simulating different evasion attacks and modifying the classification function accordingly. However, both the classification function and the simulated data manipulations have been modeled in a deterministic manner, without accounting for any form of randomization. In this paper, we overcome this limitation by proposing a randomized prediction game, namely, a noncooperative game-theoretic formulation in which the classifier and the attacker make randomized strategy selections according to some probability distribution defined over the respective strategy set. We show that our approach allows one to improve the tradeoff between attack detection and false alarms with respect to the state-of-the-art secure classifiers, even against attacks that are different from those hypothesized during design, on application examples including handwritten digit recognition, spam, and malware detection.In spam and malware detection, attackers exploit randomization to obfuscate malicious data and increase their chances of evading detection at test time, e.g., malware code is typically obfuscated using random strings or byte sequences to hide known exploits. Interestingly, randomization has also been proposed to improve security of learning algorithms against evasion attacks, as it results in hiding information about the classifier to the attacker. Recent work has proposed game-theoretical formulations to learn secure classifiers, by simulating different

  5. Probabilistic Characterization of Adversary Behavior in Cyber Security

    Energy Technology Data Exchange (ETDEWEB)

    Meyers, C A; Powers, S S; Faissol, D M

    2009-10-08

    The objective of this SMS effort is to provide a probabilistic characterization of adversary behavior in cyber security. This includes both quantitative (data analysis) and qualitative (literature review) components. A set of real LLNL email data was obtained for this study, consisting of several years worth of unfiltered traffic sent to a selection of addresses at ciac.org. The email data was subjected to three interrelated analyses: a textual study of the header data and subject matter, an examination of threats present in message attachments, and a characterization of the maliciousness of embedded URLs.

  6. UPAYA PENCAPAIAN STANDAR KETUNTASAN BELAJAR MINIMAL (SKBM MELALUI PEMBELAJARAN KOOPERATIF MODEL STUDENT TEAM ACHIEVEMENT DIVISION (STAD

    Directory of Open Access Journals (Sweden)

    Nurcholish Arifin Handoyono

    2015-12-01

    Full Text Available The purpose of this study is to increase the minimum mastery standard in automotive electrical systems repairing matter with subject applying Student Team Achievement Division (STAD model cooperative learning. This study used a classroom action research whitch was conducted in two cyles, each eycle consisted of four phases: planning, implementation, observation, dan reflection. The data were analyzed descriptively. The result proved that teaching learning process using STAD model cooperative learning increased the minimum mastery standard of students. Before applying STAD model cooperative learning, none passed the minimum mastery standard. After applying STAD model cooperative learning, there are advancement in term of the number of students passing the standard 48,48% in the first cycle and 87,88% in the second cycle. The average score reached 71,48 and 81,83 in the first and the second cycle. Therefore, this study concludes that STAD cooperative model increased the minimum mastery standard in automotive electrical systems repairing subject.

  7. PENGARUH MODEL TEAM GAMES TOURNAMENT MEDIA TOURNAMENTQUESTION CARDS TERHADAP HASIL BELAJAR SISWA PADA MATERI HIDROKARBON

    Directory of Open Access Journals (Sweden)

    Armynda Dewi Cita Sari

    2015-11-01

    Full Text Available This study was conducted to find out the effect of Team Games Tournament teaching model using Tournament-Question Cards, toward the learning outcomes of a Senior High School (SHS in Semarang on hydrocarbon and crude oil subjects. The initial observation result showed that their learning outcomes was still low as 55,78%. The population was X grader of a SHS in Semarang for the academic years 2011/2012. The sample was X-3 grader students as the control and X-4 grader as the experimental, which were selected using cluster random sampling method. Team Games Tournament teaching model using Tournament-Question Cards were applied in the  experimental class, while the conventional teaching model were used in the control class. Based on the facts, the average of post test result from the experiment class was 83,96 and the control class was 75,56. The experiment class and the control class post test grades were distributed normally and had the same variants, whereas on the one-sample t-test result was t count (3,61 > t table (2,02  which mean the average grade of experiment was better than the control class. Hypothesis testing used were biserial correlation coefficient and coefficient of determination obtained rb =0,618 and the influence 38,15%. It can be concluded that there is a significant correlation between Team Games Tournament teaching model using Tournament-Question Cards toward the learning outcomes of X grader of SHS in Semarang on hydrocarbon and crude oil subjects, with influence 38,15%.Key Words: Tournament-Question Cards media 

  8. Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets

    Directory of Open Access Journals (Sweden)

    Xingyu Zhou

    2018-01-01

    Full Text Available Stock price prediction is an important issue in the financial world, as it contributes to the development of effective strategies for stock exchange transactions. In this paper, we propose a generic framework employing Long Short-Term Memory (LSTM and convolutional neural network (CNN for adversarial training to forecast high-frequency stock market. This model takes the publicly available index provided by trading software as input to avoid complex financial theory research and difficult technical analysis, which provides the convenience for the ordinary trader of nonfinancial specialty. Our study simulates the trading mode of the actual trader and uses the method of rolling partition training set and testing set to analyze the effect of the model update cycle on the prediction performance. Extensive experiments show that our proposed approach can effectively improve stock price direction prediction accuracy and reduce forecast error.

  9. When Teams Fail to Self-Regulate: Predictors and Outcomes of Team Procrastination Among Debating Teams.

    Science.gov (United States)

    Van Hooft, Edwin A J; Van Mierlo, Heleen

    2018-01-01

    Models of team development have indicated that teams typically engage in task delay during the first stages of the team's life cycle. An important question is to what extent this equally applies to all teams, or whether there is variation across teams in the amount of task delay. The present study introduces the concept of team procrastination as a lens through which we can examine whether teams collectively engage in unplanned, voluntary, and irrational delay of team tasks. Based on theory and research on self-regulation, team processes, and team motivation we developed a conceptual multilevel model of predictors and outcomes of team procrastination. In a sample of 209 student debating teams, we investigated whether and why teams engage in collective procrastination as a team, and what consequences team procrastination has in terms of team member well-being and team performance. The results supported the existence of team procrastination as a team-level construct that has some stability over time. The teams' composition in terms of individual-level trait procrastination, as well as the teams' motivational states (i.e., team learning goal orientation, team performance-approach goal orientation in interaction with team efficacy) predicted team procrastination. Team procrastination related positively to team members' stress levels, especially for those low on trait procrastination. Furthermore, team procrastination had an indirect negative relationship with team performance, through teams' collective stress levels. These findings add to the theoretical understanding of self-regulatory processes of teams, and highlight the practical importance of paying attention to team-level states and processes such as team goal orientation and team procrastination.

  10. Gender Identity and Adversarial Sexual Beliefs as Predictors of Attitudes toward Sexual Harassment.

    Science.gov (United States)

    Murrell, Audrey J.; Dietz-Uhler, Beth L.

    1993-01-01

    Examines impact of gender identity and adversarial sexual beliefs as predictors of attitudes toward sexual harassment for 52 female and 55 male college students. Adversarial beliefs and experience with sexual harassment predict less tolerant attitudes toward harassment for males, whereas strong gender group identity and experience with harassment…

  11. Team Clinic: An Innovative Group Care Model for Youth with Type 1 Diabetes-Engaging Patients and Meeting Educational Needs.

    Science.gov (United States)

    Berget, Cari; Lindwall, Jennifer; Shea, Jacqueline J; Klingensmith, Georgeanna J; Anderson, Barbara J; Cain, Cindy; Raymond, Jennifer K

    2017-06-01

    The purpose of this pilot was to implement an innovative group care model, "Team Clinic", for adolescents with type 1 diabetes and assess patient and provider perspectives. Ninety-one intervention patients and 87 controls were enrolled. Ninety-six percent of intervention adolescents endorsed increased support and perceived connecting with peers as important. The medical providers and staff also provided positive feedback stating Team Clinic allowed more creativity in education and higher quality of care. Team Clinic may be a promising model to engage adolescents and incorporate education and support into clinic visits in a format valued by patients and providers.

  12. The Poisson model limits in NBA basketball: Complexity in team sports

    Science.gov (United States)

    Martín-González, Juan Manuel; de Saá Guerra, Yves; García-Manso, Juan Manuel; Arriaza, Enrique; Valverde-Estévez, Teresa

    2016-12-01

    Team sports are frequently studied by researchers. There is presumption that scoring in basketball is a random process and that can be described using the Poisson Model. Basketball is a collaboration-opposition sport, where the non-linear local interactions among players are reflected in the evolution of the score that ultimately determines the winner. In the NBA, the outcomes of close games are often decided in the last minute, where fouls play a main role. We examined 6130 NBA games in order to analyze the time intervals between baskets and scoring dynamics. Most numbers of baskets (n) over a time interval (ΔT) follow a Poisson distribution, but some (e.g., ΔT = 10 s, n > 3) behave as a Power Law. The Poisson distribution includes most baskets in any game, in most game situations, but in close games in the last minute, the numbers of events are distributed following a Power Law. The number of events can be adjusted by a mixture of two distributions. In close games, both teams try to maintain their advantage solely in order to reach the last minute: a completely different game. For this reason, we propose to use the Poisson model as a reference. The complex dynamics will emerge from the limits of this model.

  13. [Family Health Teams in Ontario: Ideas for Germany from a Canadian Primary Care Model].

    Science.gov (United States)

    Ulrich, Lisa-R; Pham, Thuy-Nga Tia; Gerlach, Ferdinand M; Erler, Antje

    2017-07-11

    The German healthcare system is struggling with fragmentation of care in the face of an increasing shortage of general practitioners and allied health professionals, and the time-demanding healthcare needs of an aging, multimorbid patient population. Innovative interprofessional, intersectoral models of care are required to ensure adequate access to primary care across a variety of rural and urban settings into the foreseeable future. A team approach to care of the complex multimorbid patient population appears particularly suitable in attracting and retaining the next generation of healthcare professionals, including general practitioners. In 2014, the German Advisory Council on the Assessment of Developments in the Health Care System highlighted the importance of regional, integrated care with community-based primary care centres at its core, providing comprehensive, population-based, patient-centred primary care with adequate access to general practitioners for a given geographical area. Such centres exist already in Ontario, Canada; within Family Health Teams (FHT), family physicians work hand-in-hand with pharmacists, nurses, nurse practitioners, social workers, and other allied health professionals. In this article, the Canadian model of FHT will be introduced and we will discuss which components could be adapted to suit the German primary care system. © Georg Thieme Verlag KG Stuttgart · New York.

  14. PENERAPAN MODEL STUDENT TEAMS ACHIEVEMENT DIVISION UNTUK MENINGKATKAN HASIL BELAJAR DAN KREATIVITAS BELAJAR EKONOMI

    Directory of Open Access Journals (Sweden)

    Dearlina Sinaga

    2016-10-01

    Full Text Available Abstrak: Penelitian ini bertujuan untuk meningkatkan hasil belajar dan kreativitas belajar ekonomi. Penelitian tindakan kelas ini menggunakan model pembelajaran kooperatif tipe Student Teams Achievement Division. Subjek penelitian adalah siswa kelas VIII-2 SMP Negeri-1 Pancur Batu yang berjumlah 38 orang. Data hasil belajar diperoleh lewat teknik tes, sedangkan data kreativitas belajar siswa lewat teknik observasi. Analisis data menggunakan metode analisis deskriptif kuantatif. Hasil penelitian menunjukkan bahwa hasil rata-rata pretes adalah 62,89 dimana hanya 37% siswa yang memenuhi Standart Ketuntasan Belajar Minimal (SKBM. Setelah diadakan tindakan siklus I nilai rata-rata meningkat menjadi 75 dengan 71% siswa mencapai SKBM, pada siklus II nilai rata-rata meningkat menjadi 79 dengan 87% siswa memenuhi ketuntasan. Kreativitas juga mengalami peningkatan dari 59% pada siklus I menjadi 78% pada siklus II. Dengan demikian, penerapan model STAD hasil belajar ekonomi meningkat sebesar 16% dari siklus I ke II serta dapat meningkatkan kreativitas sebesar 19% dari perbandingan siklus I dan siklus II. Kata Kunci: model STAD, hasil belajar, kreativitas belajar THE APPLICATION OF STUDENT TEAMS ACHIEVEMENT DIVISION LEARNING MODEL TO IMPROVE THE LEARNING OUTCOMES AND CREATIVITY IN LEARNING ECONOMICS Abstract: The purpose of this research is to improve the learning outcomes and creativity in learning economics. This Classroom Action Research (CAR was carried out using the model of Student Teams Achievement Division. The research subjects were students of class VIII-2 of SMP N 1 Pancur Batu with the total of 38 students. Data for outcomes analysis were collected through test and observation sheet. The results show that the average value of the pre-test is 62.89 in which only 37% of students meet the Minimum Standards Mastery Learning (SKBM. After the first cycle, the average value increases to 75 with 71% of students achieving SKBM, and after the second cycle

  15. Are real teams healthy teams?

    NARCIS (Netherlands)

    Buljac, M.; van Woerkom, M.; van Wijngaarden, P.

    2013-01-01

    This study examines the impact of real-team--as opposed to a team in name only--characteristics (i.e., team boundaries, stability of membership, and task interdependence) on team processes (i.e., team learning and emotional support) and team effectiveness in the long-term care sector. We employed a

  16. Modeling Macro-Cognitive Influence on Information Sharing between Members of a Joint Team

    National Research Council Canada - National Science Library

    Burnett, Steven F

    2006-01-01

    .... This research study broadens the study of effective military teams through an assessment of the factors that influence a joint team's effectiveness by capitalizing on the business and psychological...

  17. An action-learning model to assist Circuit Teams to support School ...

    African Journals Online (AJOL)

    EAOSA

    2016-11-17

    Nov 17, 2016 ... development of both School Management Teams and Circuit Team members. ... achieve excellence in teaching and learning (Department of Basic Education, ... indicate that support to schools, particularly rural and historically disadvantaged schools, ... promote sustainable change and enhanced academic.

  18. Leadership Team | Wind | NREL

    Science.gov (United States)

    Leadership Team Leadership Team Learn more about the expertise and technical skills of the wind Initiative and provides leadership in the focus areas of high-fidelity modeling, wind power plant controls

  19. Social Influence Interpretation of Interpersonal Processes and Team Performance Over Time Using Bayesian Model Selection

    NARCIS (Netherlands)

    Johnson, Alan R.; van de Schoot, Rens; Delmar, Frédéric; Crano, William D.

    The team behavior literature is ambiguous about the relations between members’ interpersonal processes—task debate and task conflict—and team performance. From a social influence perspective, we show why members’ interpersonal processes determine team performance over time in small groups. Together,

  20. A Theoretical Model and New Test of Managerial Legitimacy in Work Teams

    Science.gov (United States)

    Yoon, Jeongkoo; Thye, Shane

    2011-01-01

    This study examines endorsement and authorization as two social mechanisms that can induce perceptions of legitimacy for individuals who manage work teams. "Endorsement" is the support of a manager by one's own team members, whereas "authorization" is the support of a team manager stemming from a higher bureaucratic level.…

  1. Modeling and Simulation for Exploring Human-Robot Team Interaction Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Dudenhoeffer, Donald Dean; Bruemmer, David Jonathon; Davis, Midge Lee

    2001-12-01

    Small-sized and micro-robots will soon be available for deployment in large-scale forces. Consequently, the ability of a human operator to coordinate and interact with largescale robotic forces is of great interest. This paper describes the ways in which modeling and simulation have been used to explore new possibilities for human-robot interaction. The paper also discusses how these explorations have fed implementation of a unified set of command and control concepts for robotic force deployment. Modeling and simulation can play a major role in fielding robot teams in actual missions. While live testing is preferred, limitations in terms of technology, cost, and time often prohibit extensive experimentation with physical multi-robot systems. Simulation provides insight, focuses efforts, eliminates large areas of the possible solution space, and increases the quality of actual testing.

  2. Effective Team Support: From Task and Cognitive Modeling to Software Agents for Time-Critical Complex Work Environments

    Science.gov (United States)

    Remington, Roger W. (Technical Monitor); John, Bonnie E.; Sycara, Katia

    2005-01-01

    The purpose of this research contract was to perform multidisciplinary research between CMU psychologists, computer scientists and NASA researchers to design a next generation collaborative system to support a team of human experts and intelligent agents. To achieve robust performance enhancement of such a system, we had proposed to perform task and cognitive modeling to thoroughly understand the impact technology makes on the organization and on key individual personnel. Guided by cognitively-inspired requirements, we would then develop software agents that support the human team in decision making, information filtering, information distribution and integration to enhance team situational awareness. During the period covered by this final report, we made substantial progress in completing a system for empirical data collection, cognitive modeling, and the building of software agents to support a team's tasks, and in running experiments for the collection of baseline data.

  3. Development of a Computational Simulation Model for Conflict Management in Team Building

    Directory of Open Access Journals (Sweden)

    W. M. Wang

    2011-05-01

    Full Text Available Conflict management is one of the most important issues in leveraging organizational competitiveness. However, traditional social scientists built theories or models in this area which were mostly expressed in words and diagrams are insufficient. Social science research based on computational modeling and simulation is beginning to augment traditional theory building. Simulation provides a method for people to try their actions out in a way that is cost effective, faster, appropriate, flexible, and ethical. In this paper, a computational simulation model for conflict management in team building is presented. The model is designed and used to explore the individual performances related to the combination of individuals who have a range of conflict handling styles, under various types of resources and policies. The model is developed based on agent-based modeling method. Each of the agents has one of the five conflict handling styles: accommodation, compromise, competition, contingency, and learning. There are three types of scenarios: normal, convex, and concave. There are two types of policies: no policy, and a reward and punishment policy. Results from running the model are also presented. The simulation has led us to derive two implications concerning conflict management. First, a concave type of resource promotes competition, while convex type of resource promotes compromise and collaboration. Second, the performance ranking of different styles can be influenced by introducing different policies. On the other hand, it is possible for us to promote certain style by introducing different policies.

  4. Computationally Secure Pattern Matching in the Presence of Malicious Adversaries

    DEFF Research Database (Denmark)

    Hazay, Carmit; Toft, Tomas

    2014-01-01

    for important variations of the secure pattern matching problem that are significantly more efficient than the current state of art solutions: First, we deal with secure pattern matching with wildcards. In this variant the pattern may contain wildcards that match both 0 and 1. Our protocol requires O......We propose a protocol for the problem of secure two-party pattern matching, where Alice holds a text t∈{0,1}∗ of length n, while Bob has a pattern p∈{0,1}∗ of length m. The goal is for Bob to (only) learn where his pattern occurs in Alice’s text, while Alice learns nothing. Private pattern matching...... is an important problem that has many applications in the area of DNA search, computational biology and more. Our construction guarantees full simulation in the presence of malicious, polynomial-time adversaries (assuming the hardness of DDH assumption) and exhibits computation and communication costs of O...

  5. 'Meatball searching' - The adversarial approach to online information retrieval

    Science.gov (United States)

    Jack, R. F.

    1985-01-01

    It is proposed that the different styles of online searching can be described as either formal (highly precise) or informal with the needs of the client dictating which is most applicable at a particular moment. The background and personality of the searcher also come into play. Particular attention is focused on meatball searching which is a form of online searching characterized by deliberate vagueness. It requires generally comprehensive searches, often on unusual topics and with tight deadlines. It is most likely to occur in search centers serving many different disciplines and levels of client information sophistication. Various information needs are outlined as well as the laws of meatball searching and the adversarial approach. Traits and characteristics important to sucessful searching include: (1) concept analysis, (2) flexibility of thinking, (3) ability to think in synonyms and (4) anticipation of variant word forms and spellings.

  6. TRANSITION FROM ADVERSARIAL TO COOPERATIVE STRATEGIC INTERACTION; FINAL

    International Nuclear Information System (INIS)

    G.H. CANAVAN

    2001-01-01

    This note extends the game theoretic analysis of strategic conflicts begun in earlier Seminars on Planetary Emergencies to interactions with and without defenses between two or more adversaries with more realistic target structures. It reviews the essentials of game theory as applied to the analysis of strategic decisions, the application of first and second strike costs as payoffs, and solution optimization, which resolves several inconsistencies seen with earlier metrics. The stability of the current bilateral offensive configuration is shown to be high and insensitive to deep reductions in offensive forces, the deployment of limited defenses, and the exchange of significant offensive forces for defenses. The transition from adversarial to cooperative interaction is represented by the progressive reduction of the parameters representing each side's preference for damaging or deterring the other, which monotonically improves stability. Estimates of strike incentives in bilateral and trilateral configurations are reduced by the inclusion of high value targets in both sides' force allocations, which dominates the details of offensive and defensive forces. The shift to high value targets stabilizes trilateral offensive configurations, a result that differs with that from analyses based on military costs only. When defenses are included, they lead to a balance between a large defended side and small undefended side that resembles the balance between two large sides. Including the large side's preference for defense of high value targets in the analyses reduces its strike incentives and thus the small side's incentive to preempt. However, it also removes the large sides' ability to deter, so the stability of multi-polar configurations continues to be controlled by the least stable dyad, which places constraints on the size of defenses that can be deployed stably that could be more stringent than those from the bilateral balance

  7. A Simplified Model of Human Alcohol Metabolism That Integrates Biotechnology and Human Health into a Mass Balance Team Project

    Science.gov (United States)

    Yang, Allen H. J.; Dimiduk, Kathryn; Daniel, Susan

    2011-01-01

    We present a simplified human alcohol metabolism model for a mass balance team project. Students explore aspects of engineering in biotechnology: designing/modeling biological systems, testing the design/model, evaluating new conditions, and exploring cutting-edge "lab-on-a-chip" research. This project highlights chemical engineering's impact on…

  8. The Effect of Cooperative Learning Model of Teams Games Tournament (TGT) and Students' Motivation toward Physics Learning Outcome

    Science.gov (United States)

    Nadrah; Tolla, Ismail; Ali, Muhammad Sidin; Muris

    2017-01-01

    This research aims at describing the effect of cooperative learning model of Teams Games Tournament (TGT) and motivation toward physics learning outcome. This research was a quasi-experimental research with a factorial design conducted at SMAN 2 Makassar. Independent variables were learning models. They were cooperative learning model of TGT and…

  9. Team Psychological Safety and Team Learning: A Cultural Perspective

    Science.gov (United States)

    Cauwelier, Peter; Ribière, Vincent M.; Bennet, Alex

    2016-01-01

    Purpose: The purpose of this paper was to evaluate if the concept of team psychological safety, a key driver of team learning and originally studied in the West, can be applied in teams from different national cultures. The model originally validated for teams in the West is applied to teams in Thailand to evaluate its validity, and the views team…

  10. Team Learning Beliefs and Behaviours in Response Teams

    Science.gov (United States)

    Boon, Anne; Raes, Elisabeth; Kyndt, Eva; Dochy, Filip

    2013-01-01

    Purpose: Teams, teamwork and team learning have been the subject of many research studies over the last decades. This article aims at investigating and confirming the Team Learning Beliefs and Behaviours (TLB&B) model within a very specific population, i.e. police and firemen teams. Within this context, the paper asks whether the team's…

  11. The Role of Interpersonal Relations in Healthcare Team Communication and Patient Safety: A Proposed Model of Interpersonal Process in Teamwork.

    Science.gov (United States)

    Lee, Charlotte Tsz-Sum; Doran, Diane Marie

    2017-06-01

    Patient safety is compromised by medical errors and adverse events related to miscommunications among healthcare providers. Communication among healthcare providers is affected by human factors, such as interpersonal relations. Yet, discussions of interpersonal relations and communication are lacking in healthcare team literature. This paper proposes a theoretical framework that explains how interpersonal relations among healthcare team members affect communication and team performance, such as patient safety. We synthesized studies from health and social science disciplines to construct a theoretical framework that explicates the links among these constructs. From our synthesis, we identified two relevant theories: framework on interpersonal processes based on social relation model and the theory of relational coordination. The former involves three steps: perception, evaluation, and feedback; and the latter captures relational communicative behavior. We propose that manifestations of provider relations are embedded in the third step of the framework on interpersonal processes: feedback. Thus, varying team-member relationships lead to varying collaborative behavior, which affects patient-safety outcomes via a change in team communication. The proposed framework offers new perspectives for understanding how workplace relations affect healthcare team performance. The framework can be used by nurses, administrators, and educators to improve patient safety, team communication, or to resolve conflicts.

  12. When Teams Fail to Self-Regulate: Predictors and Outcomes of Team Procrastination Among Debating Teams

    Science.gov (United States)

    Van Hooft, Edwin A. J.; Van Mierlo, Heleen

    2018-01-01

    Models of team development have indicated that teams typically engage in task delay during the first stages of the team’s life cycle. An important question is to what extent this equally applies to all teams, or whether there is variation across teams in the amount of task delay. The present study introduces the concept of team procrastination as a lens through which we can examine whether teams collectively engage in unplanned, voluntary, and irrational delay of team tasks. Based on theory and research on self-regulation, team processes, and team motivation we developed a conceptual multilevel model of predictors and outcomes of team procrastination. In a sample of 209 student debating teams, we investigated whether and why teams engage in collective procrastination as a team, and what consequences team procrastination has in terms of team member well-being and team performance. The results supported the existence of team procrastination as a team-level construct that has some stability over time. The teams’ composition in terms of individual-level trait procrastination, as well as the teams’ motivational states (i.e., team learning goal orientation, team performance-approach goal orientation in interaction with team efficacy) predicted team procrastination. Team procrastination related positively to team members’ stress levels, especially for those low on trait procrastination. Furthermore, team procrastination had an indirect negative relationship with team performance, through teams’ collective stress levels. These findings add to the theoretical understanding of self-regulatory processes of teams, and highlight the practical importance of paying attention to team-level states and processes such as team goal orientation and team procrastination. PMID:29674991

  13. When Teams Fail to Self-Regulate: Predictors and Outcomes of Team Procrastination Among Debating Teams

    Directory of Open Access Journals (Sweden)

    Edwin A. J. Van Hooft

    2018-04-01

    Full Text Available Models of team development have indicated that teams typically engage in task delay during the first stages of the team’s life cycle. An important question is to what extent this equally applies to all teams, or whether there is variation across teams in the amount of task delay. The present study introduces the concept of team procrastination as a lens through which we can examine whether teams collectively engage in unplanned, voluntary, and irrational delay of team tasks. Based on theory and research on self-regulation, team processes, and team motivation we developed a conceptual multilevel model of predictors and outcomes of team procrastination. In a sample of 209 student debating teams, we investigated whether and why teams engage in collective procrastination as a team, and what consequences team procrastination has in terms of team member well-being and team performance. The results supported the existence of team procrastination as a team-level construct that has some stability over time. The teams’ composition in terms of individual-level trait procrastination, as well as the teams’ motivational states (i.e., team learning goal orientation, team performance-approach goal orientation in interaction with team efficacy predicted team procrastination. Team procrastination related positively to team members’ stress levels, especially for those low on trait procrastination. Furthermore, team procrastination had an indirect negative relationship with team performance, through teams’ collective stress levels. These findings add to the theoretical understanding of self-regulatory processes of teams, and highlight the practical importance of paying attention to team-level states and processes such as team goal orientation and team procrastination.

  14. Assessing the similarity of mental models of operating room team members and implications for patient safety: a prospective, replicated study.

    Science.gov (United States)

    Nakarada-Kordic, Ivana; Weller, Jennifer M; Webster, Craig S; Cumin, David; Frampton, Christopher; Boyd, Matt; Merry, Alan F

    2016-08-31

    Patient safety depends on effective teamwork. The similarity of team members' mental models - or their shared understanding-regarding clinical tasks is likely to influence the effectiveness of teamwork. Mental models have not been measured in the complex, high-acuity environment of the operating room (OR), where professionals of different backgrounds must work together to achieve the best surgical outcome for each patient. Therefore, we aimed to explore the similarity of mental models of task sequence and of responsibility for task within multidisciplinary OR teams. We developed a computer-based card sorting tool (Momento) to capture the information on mental models in 20 six-person surgical teams, each comprised of three subteams (anaesthesia, surgery, and nursing) for two simulated laparotomies. Team members sorted 20 cards depicting key tasks according to when in the procedure each task should be performed, and which subteam was primarily responsible for each task. Within each OR team and subteam, we conducted pairwise comparisons of scores to arrive at mean similarity scores for each task. Mean similarity score for task sequence was 87 % (range 57-97 %). Mean score for responsibility for task was 70 % (range = 38-100 %), but for half of the tasks was only 51 % (range = 38-69 %). Participants believed their own subteam was primarily responsible for approximately half the tasks in each procedure. We found differences in the mental models of some OR team members about responsibility for and order of certain tasks in an emergency laparotomy. Momento is a tool that could help elucidate and better align the mental models of OR team members about surgical procedures and thereby improve teamwork and outcomes for patients.

  15. The SMART Theory and Modeling Team: An Integrated Element of Mission Development and Science Analysis

    Science.gov (United States)

    Hesse, Michael; Birn, J.; Denton, Richard E.; Drake, J.; Gombosi, T.; Hoshino, M.; Matthaeus, B.; Sibeck, D.

    2005-01-01

    When targeting physical understanding of space plasmas, our focus is gradually shifting away from discovery-type investigations to missions and studies that address our basic understanding of processes we know to be important. For these studies, theory and models provide physical predictions that need to be verified or falsified by empirical evidence. Within this paradigm, a tight integration between theory, modeling, and space flight mission design and execution is essential. NASA's Magnetospheric MultiScale (MMS) mission is a pathfinder in this new era of space research. The prime objective of MMS is to understand magnetic reconnection, arguably the most fundamental of plasma processes. In particular, MMS targets the microphysical processes, which permit magnetic reconnection to operate in the collisionless plasmas that permeate space and astrophysical systems. More specifically, MMS will provide closure to such elemental questions as how particles become demagnetized in the reconnection diffusion region, which effects determine the reconnection rate, and how reconnection is coupled to environmental conditions such as magnetic shear angles. Solutions to these problems have remained elusive in past and present spacecraft missions primarily due to instrumental limitations - yet they are fundamental to the large-scale dynamics of collisionless plasmas. Owing to the lack of measurements, most of our present knowledge of these processes is based on results from modern theory and modeling studies of the reconnection process. Proper design and execution of a mission targeting magnetic reconnection should include this knowledge and have to ensure that all relevant scales and effects can be resolved by mission measurements. The SMART mission has responded to this need through a tight integration between instrument and theory and modeling teams. Input from theory and modeling is fed into all aspects of science mission design, and theory and modeling activities are tailored

  16. Teams make it work: how team work engagement mediates between social resources and performance in teams.

    Science.gov (United States)

    Torrente, Pedro; Salanova, Marisa; Llorens, Susana; Schaufeli, Wilmar B

    2012-02-01

    In this study we analyze the mediating role of team work engagement between team social resources (i.e., supportive team climate, coordination, teamwork), and team performance (i.e., in-role and extra-role performance) as predicted by the Job Demands-Resources Model. Aggregated data of 533 employees nested within 62 teams and 13 organizations were used, whereas team performance was assessed by supervisor ratings. Structural equation modeling revealed that, as expected, team work engagement plays a mediating role between social resources perceived at the team level and team performance as assessed by the supervisor.

  17. Meningkatkan Prestasi Belajar IPS Materi Interaksi Sosial Melalui Penggunaan Model Pembelajaran Team Assisted Individualization (TAI

    Directory of Open Access Journals (Sweden)

    Juliastuti .

    2017-01-01

    Full Text Available Berdasarkan hasil observasi dan wawancara dengan guru mata pelajaran IPS di SMPN 33 Surabaya Kota Surabaya, diperoleh bahwa nilai rata-rata penguasaan materi siswa kelas X1 pada materi Interaksi Sosial tahun pelajaran 2012/2013 masih rendah. Aktivitas siswa yang relevan dengan pembelajaran rendah. Salah satu upaya untuk meningkatkan aktivitas siswa dan penguasaan materi Interaksi Sosial adalah dengan menerapkan model pembelajaran kooperatif tipe TAI (Team Asissted Individualization. Tujuan penelitian ini adalah mendeskripsikan penggunaan pembelajaran kooperatif tipe TAI untuk meningkatkan persentase rata-rata : (1 tiap jenis aktivitas siswa; (2 penguasaan materi siswa dari siklus ke siklus. Penelitian ini adalah penelitian tindakan kelas yang dilakukan sebanyak tiga siklus. Data penelitian ini terdiri dari data kualitatif, yaitu data aktivitas on task siswa yang diperoleh dari lembar observasi, serta data kuantitatif berupa nilai penguasaan materi interaksi sosial yang diperoleh melalui tes formatif. Hasil penelitian ini menunjukkan bahwa penggunaan model pembelajaran kooperatif tipe memiliki dampak positif dalam meningkatkan prestasi belajar siswa yang ditandai dengan peningkatan ketuntasan belajar siswa dalam setiap siklus, yaitu siklus I 65,63%, siklus II 100%. Kata Kunci : Team Assisted Individualization ( TAI , Prestasi Belajar, IPS                                                                                                                        Based on observations and interviews with a social studies teacher at SMPN 33 Surabaya Surabaya, found that the average value of students' mastery of the material in the material class X1 Social Interaction in the academic year 2012/2013 is still low. Activities relevant to the learning of students is low. One effort to increase student activity and mastery of Social Interaction

  18. A model for selecting project team members using multicriteria group decision making

    Directory of Open Access Journals (Sweden)

    Luciana Hazin Alencar

    2010-04-01

    Full Text Available Selecting a project team is a complex multi-criteria decision-making problem. For this reason, one appropriate way to tackle such problems involves the use of multi-criteria decision aid methods. However, most of the decisions taken regarding the selection of project teams are made by a group of people. It is this which changes the focus of the problem by moving from one decision-maker (DM to a group of DMs. Analysis needs to be extended in order to consider the preference structure of each individual group member. In this paper, we present a group decision model for project team selection based on a multi-criteria evaluation of the preferences of a client's representatives. It could be applied to any decision problem since it involves a group of decision makers whose preferences diverge little. An application of the model in order to select consultants for a construction project is presented.A seleção da equipe em um projeto é um problema de decisão multicritério. Uma forma apropriada de tratar tais problemas envolve o uso de métodos de apoio multicritério a decisão. Grande parte desses problemas envolve um grupo de decisores. Dessa forma, há uma mudança no foco da decisão de um decisor para um grupo de decisores. A análise deve ser ampliada no intuito de considerar a estrutura de preferência de cada membro do grupo. Nesse artigo, apresentamos um modelo aplicado à seleção de equipe de um projeto baseado na avaliação multicritério das preferências dos representantes do cliente do projeto. Pode ser aplicado a qualquer problema de decisão desde que envolva um grupo de decisores que tenham pequena divergência em relação às suas preferências. Uma aplicação para seleção de parte da equipe de um projeto de construção é apresentada.

  19. Hypospadias surgery in children: improved service model of enhanced recovery pathway and dedicated surgical team.

    Science.gov (United States)

    Wong, Y S; Pang, K K; Tam, Y H

    2018-05-21

    Children in Hong Kong are generally hospitalised for 1 to 2 weeks after hypospadias repairs. In July 2013, we introduced a new service model that featured an enhanced recovery pathway and a dedicated surgical team responsible for all perioperative services. In this study, we investigated the outcomes of hypospadias repair after the introduction of the new service model. We conducted a retrospective study on consecutive children who underwent primary hypospadias repair from January 2006 to August 2016, comparing patients under the old service with those under the new service. Outcome measures included early morbidity, operative success, and completion of enhanced recovery pathway. The old service and new service cohorts comprised 176 and 126 cases, respectively. There was no difference between the two cohorts in types of hypospadias and surgical procedures performed. The median hospital stay was 2 days in the new service cohort compared with 10 days in the old service cohort (Pservice than the old service. Multivariable analysis revealed that the new service significantly reduced the odds of early morbidity (odds ratio=0.35, 95% confidence interval=0.15-0.85; P=0.02) and operative failure (odds ratio=0.32, 95% confidence interval=0.17-0.59; Pservice. Of the new service cohort, 111(88.1%) patients successfully completed the enhanced recovery pathway. The enhanced recovery pathway can be implemented safely and effectively to primary hypospadias repair. A dedicated surgical team may play an important role in successful implementation of the enhanced recovery pathway and optimisation of surgical outcomes.

  20. PENGARUH MODEL TEAMS GAMES TOURNAMENT TERHADAP KETERAMPILAN PENGAMBILAN KEPUTUSAN DALAM PEMBELAJARAN IPS DI SEKOLAH DASAR

    Directory of Open Access Journals (Sweden)

    Galih Dani Septiyan

    2017-04-01

    Full Text Available This research is about the influence of application of Teams Games Tournament (TGT type cooperative model in elementary school to decision-making skill. The research method is quasi experiment with non randomized pretest-posttes control group design. The population of all grade III elementary school in Maja subdistrict and its sampling sampling in this research is student of class III SDN Cieurih I and SDN Kertabasuki II. The purpose of this study is to determine the effect of TGT model on student decision-making skills in class III elementary school. The result of this research can be concluded that there is a difference of decision-making skills improvement between experimental and control group, besides cooperative learning of TGT is better than conventional learning in improving student decision-making skills in elementary school social study learning and there is difference of improvement of decision making skill among student group higher, middle and lower achiever using TGT model and conventional learning. Keywords: TGT type cooperative model, decision-making skill.

  1. When teams fail to self-regulate: Predictors and outcomes of team procrastination among debating teams

    NARCIS (Netherlands)

    E.A.J. van Hooft (Edwin); H. van Mierlo (Heleen)

    2018-01-01

    textabstractModels of team development have indicated that teams typically engage in task delay during the first stages of the team's life cycle. An important question is to what extent this equally applies to all teams, or whether there is variation across teams in the amount of task delay. The

  2. TEAMS Model for the HPGF LN2 Pump System Diagnostic Utility

    Data.gov (United States)

    National Aeronautics and Space Administration — The Testability, Engineering, and Maintenance Systems (TEAMS) Product Suite developed by Qualtech Systems Inc. has been adopted across NASA for integrating...

  3. Taxonomies of Cyber Adversaries and Attacks: A Survey of Incidents and Approaches

    Energy Technology Data Exchange (ETDEWEB)

    Meyers, C A; Powers, S S; Faissol, D M

    2009-10-08

    In this paper we construct taxonomies of cyber adversaries and methods of attack, drawing from a survey of the literature in the area of cyber crime. We begin by addressing the scope of cyber crime, noting its prevalence and effects on the US economy. We then survey the literature on cyber adversaries, presenting a taxonomy of the different types of adversaries and their corresponding methods, motivations, maliciousness, and skill levels. Subsequently we survey the literature on cyber attacks, giving a taxonomy of the different classes of attacks, subtypes, and threat descriptions. The goal of this paper is to inform future studies of cyber security on the shape and characteristics of the risk space and its associated adversaries.

  4. Translating agency reform through durable rhetorical styles: comparing official agency talk across consensus and adversarial contexts

    NARCIS (Netherlands)

    Smullen, A.

    2010-01-01

    This article directs attention to the role of ideational variables in shaping public management reform initiatives. It considers the contribution of both endogenous rhetorical styles and exogenous international fashions in explaining official agency talk in consensus and adversarial contexts.

  5. The Undergraduate ALFALFA Team: A Model for Involving Undergraduates in Major Legacy Astronomy Research

    Science.gov (United States)

    Troischt, Parker; Koopmann, Rebecca A.; Haynes, Martha P.; Higdon, Sarah; Balonek, Thomas J.; Cannon, John M.; Coble, Kimberly A.; Craig, David; Durbala, Adriana; Finn, Rose; Hoffman, G. Lyle; Kornreich, David A.; Lebron, Mayra E.; Crone-Odekon, Mary; O'Donoghue, Aileen A.; Olowin, Ronald Paul; Pantoja, Carmen; Rosenberg, Jessica L.; Venkatesan, Aparna; Wilcots, Eric M.; Alfalfa Team

    2015-01-01

    The NSF-sponsored Undergraduate ALFALFA (Arecibo Legacy Fast ALFA) Team (UAT) is a consortium of 19 institutions founded to promote undergraduate research and faculty development within the extragalactic ALFALFA HI blind survey project and follow-up programs. The collaborative nature of the UAT allows faculty and students from a wide ​range of public and private colleges and especially those with small astronomy programs to develop scholarly collaborations. Components of the program include an annual undergraduate workshop at Arecibo Observatory, observing runs at Arecibo, computer infrastructure, summer and academic year research projects, and dissemination at national meetings (e.g., Alfvin et al., Martens et al., Sanders et al., this meeting). Through this model, faculty and students are learning how science is accomplished in a large collaboration while contributing to the scientific goals of a major legacy survey. In the 7 years of the program, 23 faculty and more than 220 undergraduate students have participated at a significant level. 40% of them have been women and members of underrepresented groups. Faculty, many of whom were new to the collaboration and had expertise in other fields, contribute their diverse sets of skills to ALFALFA ​related projects via observing, data reduction, collaborative research, and research with students. 142 undergraduate students have attended the annual workshops at Arecibo Observatory, interacting with faculty, graduate students, their peers, and Arecibo staff in lectures, group activities, tours, and observing runs. Team faculty have supervised 131 summer research projects and 94 academic year (e.g., senior thesis) projects. 62 students have traveled to Arecibo Observatory for observing runs and 46 have presented their results at national meetings. 93% of alumni are attending graduate school and/or pursuing a career in STEM. Half of those pursuing graduate degrees in Physics or Astronomy are women. This work has been

  6. Deterrence, the spiral model, and intentions of the adversary

    International Nuclear Information System (INIS)

    Jervis, R.

    1986-01-01

    This paper is not concerned with the many subtleties and complexities of deterrence theory, but only with the central argument that great dangers arise if an aggressor believes that the status quo powers are weak in capability or resolve. This belief will lead the former to test its opponents, usually starting with a small and apparently unimportant issue. If the status quo powers retreat, they will not only lose the specific value at stake but, more important in the long run, will encourage the aggressor to press harder. Even if the defenders later recognize their plight and are willing to pay a higher price to prevent further retreats, they will find it increasingly difficult to convince the aggressor of their new-found resolve. The choice will then be between continuing to retreat and thereby sacrificing basic values or fighting. To avoid this disastrous situation, the state must display the ability and willingness to wage war. It may not be able to ignore minor conflicts or to judge disputes on their merits. Issues of little intrinsic value become highly significant as indices of resolve

  7. (YIP) Detecting, Analyzing, Modeling Adversarial Propaganda in Social Media

    Science.gov (United States)

    2015-10-26

    campaign is a coherent and organized effort to spread a particular message – e.g., misinformation, propaganda, payloads containing malware, phishing ...propaganda, payloads containing malware, phishing URLs – and stands in contrast to “organic” (or grassroots) efforts. This project has viewed campaigns...have at least 50 Twitter followers, search for a certain keyword on Google , and then click on a website in the search results. In addition, it

  8. Creative Persuasion: A Study on Adversarial Behaviors and Strategies in Phishing Attacks.

    Science.gov (United States)

    Rajivan, Prashanth; Gonzalez, Cleotilde

    2018-01-01

    Success of phishing attacks depend on effective exploitation of human weaknesses. This research explores a largely ignored, but crucial aspect of phishing: the adversarial behavior. We aim at understanding human behaviors and strategies that adversaries use, and how these may determine the end-user response to phishing emails. We accomplish this through a novel experiment paradigm involving two phases. In the adversarial phase, 105 participants played the role of a phishing adversary who were incentivized to produce multiple phishing emails that would evade detection and persuade end-users to respond. In the end-user phase, 340 participants performed an email management task, where they examined and classified phishing emails generated by participants in phase-one along with benign emails. Participants in the adversary role, self-reported the strategies they employed in each email they created, and responded to a test of individual creativity. Data from both phases of the study was combined and analyzed, to measure the effect of adversarial behaviors on end-user response to phishing emails. We found that participants who persistently used specific attack strategies (e.g., sending notifications, use of authoritative tone, or expressing shared interest) in all their attempts were overall more successful, compared to others who explored different strategies in each attempt. We also found that strategies largely determined whether an end-user was more likely to respond to an email immediately, or delete it. Individual creativity was not a reliable predictor of adversarial performance, but it was a predictor of an adversary's ability to evade detection. In summary, the phishing example provided initially, the strategies used, and the participants' persistence with some of the strategies led to higher performance in persuading end-users to respond to phishing emails. These insights may be used to inform tools and training procedures to detect phishing strategies in

  9. On-line diagnosis and recovery of adversary attack using logic flowgraph methodology simulation

    International Nuclear Information System (INIS)

    Guarro, S.B.

    1986-01-01

    The Logic Flowgraph Methodology (LFM) allows the construction of special graph models for simulation of complex processes of causality, including feedback loops and sequential effects. Among the most notable features of LFM is the formal inclusion in its models of causality conditioning by logic switches imbedded in the modeled process, such as faults or modes of operation. The LFM model of a process is a graph structure that captures, in one synthetic representation, the relevant success and fault space characterization of that process. LFM is very similar to an artificial intelligence expert system shell. To illustrate the utilization of LFM, an application to the assessment and on-line monitoring of a material control facility is presented. The LFM models are used to model adversary action and control response, and to generate mini-diagnostic and recovery trees in real time, as well as reliability tress for off-line evaluation. Although the case study presented is for an imaginary facility, most of the conceptual elements that would be present in a real application have been retained in order to highlight the features and capabilities of the methodology

  10. Ties That Bind International Research Teams: A Network Multilevel Model of Interdisciplinary Collaboration

    Science.gov (United States)

    Kollasch, Aurelia Wiktoria

    2012-01-01

    Today large research projects require substantial involvement of researchers from different organizations, disciplines, or cultures working in groups or teams to accomplish a common goal of producing, sharing, and disseminating scientific knowledge. This study focuses on the international research team that was launched in response to pressing…

  11. The Effects of Autonomy and Empowerment on Employee Turnover: Test of a Multilevel Model in Teams

    Science.gov (United States)

    Liu, Dong; Zhang, Shu; Wang, Lei; Lee, Thomas W.

    2011-01-01

    Extending research on voluntary turnover in the team setting, this study adopts a multilevel self-determination theoretical approach to examine the unique roles of individual and social-contextual motivational precursors, autonomy orientation and autonomy support, in reducing team member voluntary turnover. Analysis of multilevel time-lagged data…

  12. Broadening participation in Research Experiences for Undergraduates (REU) programs: an evaluation of the team research model for undergraduate research experiences

    Science.gov (United States)

    Berthelote, A. R.; Geraghty Ward, E. M.; Dalbotten, D. M.

    2014-12-01

    The REU site on sustainable land and water resources has a goal of broadening participation in the geosciences by underrepresented groups and particularly Native American students. We are evaluating modifications to the traditional REU model in order to better support these students. First, we review a team research model for REU students, where students are placed on teams and work together in peer groups supported by a team of mentors. Second, the REU takes place in locations that have high populations of Native American students to remove barriers to participation for non-traditional students. Finally, the teams do research on issues related to local concerns with cultural focus. Traditional REU models (1 faculty to 1 student/on campus) have been shown to be effective in supporting student movement into graduate programs but often fail to attract a diverse group of candidates. In addition, they rely for success on the relationship between faculty and student, which can often be undermined by unrealistic expectations on the part of the student about the mentor relationship, and can be exacerbated by cultural misunderstanding, conflicting discourse, or students' personal or family issues. At this REU site, peer mentorship and support plays a large role. Students work together to select their research question, follow the project to completion and present the results. Students from both native and non-native backgrounds learn about the culture of the partner reservations and work on a project that is of immediate local concern. The REU also teaches students protocols for working on Native American lands that support good relations between reservation and University. Analysis of participant data gathered from surveys and interview over the course of our 3-year program indicates that the team approach is successful. Students noted that collaborating with other teams was rewarding and mentors reported positively about their roles in providing guidance for the student

  13. Management Teams

    CERN Document Server

    Belbin, R Meredith Meredith

    2012-01-01

    Meredith Belbin's work on teams has become part of everyday language in organizations all over the world. All kinds of teams and team behaviours are covered. At the end of the book is a self-perception inventory so that readers can match their own personalities to particular team roles. Management Teams is required reading for managers concerned with achieving results by getting the best from their key personnel.

  14. Protecting Clock Synchronization: Adversary Detection through Network Monitoring

    Directory of Open Access Journals (Sweden)

    Elena Lisova

    2016-01-01

    Full Text Available Nowadays, industrial networks are often used for safety-critical applications with real-time requirements. Such applications usually have a time-triggered nature with message scheduling as a core property. Scheduling requires nodes to share the same notion of time, that is, to be synchronized. Therefore, clock synchronization is a fundamental asset in real-time networks. However, since typical standards for clock synchronization, for example, IEEE 1588, do not provide the required level of security, it raises the question of clock synchronization protection. In this paper, we identify a way to break synchronization based on the IEEE 1588 standard, by conducting a man-in-the-middle (MIM attack followed by a delay attack. A MIM attack can be accomplished through, for example, Address Resolution Protocol (ARP poisoning. Using the AVISPA tool, we evaluate the potential to perform a delay attack using ARP poisoning and analyze its consequences showing both that the attack can, indeed, break clock synchronization and that some design choices, such as a relaxed synchronization condition mode, delay bounding, and using knowledge of environmental conditions, can make the network more robust/resilient against these kinds of attacks. Lastly, a Configuration Agent is proposed to monitor and detect anomalies introduced by an adversary performing attacks targeting clock synchronization.

  15. Team designing

    DEFF Research Database (Denmark)

    Denise J. Stokholm, Marianne

    2012-01-01

    Future wellbeing is depending on human competences in order to strengthen a sustainable development. This requires system thinking and ability to deal with complexity, dynamic and a vast of information. `We need to move away from present principles of breaking down problems into components and gi...... thinking and communication in design. Trying to answer the question: How can visual system models facilitate learning in design thinking and team designing?......Future wellbeing is depending on human competences in order to strengthen a sustainable development. This requires system thinking and ability to deal with complexity, dynamic and a vast of information. `We need to move away from present principles of breaking down problems into components and give...... in relation to a design-engineering education at Aalborg University. It will exemplify how the model has been used in workshops on team designing, challenged design learning and affected design competence. In specific it will investigate the influence of visual models of the perception of design, design...

  16. Team Learning Ditinjau dari Team Diversity dan Team Efficacy

    OpenAIRE

    Pohan, Vivi Gusrini Rahmadani; Ancok, Djamaludin

    2010-01-01

    This research attempted to observe team learning from the level of team diversity and team efficacy of work teams. This research used an individual level of analysis rather than the group level. The team members measured the level of team diversity, team efficacy and team learning of the teams through three scales, namely team learning scale, team diversity scale, and team efficacy scale. Respondents in this research were the active team members in a company, PT. Alkindo Mitraraya. The total ...

  17. Team Learning Ditinjau dari Team Diversity dan Team Efficacy

    OpenAIRE

    Vivi Gusrini Rahmadani Pohan; Djamaludin Ancok

    2015-01-01

    This research attempted to observe team learning from the level of team diversity and team efficacy of work teams. This research used an individual level of analysis rather than the group level. The team members measured the level of team diversity, team efficacy and team learning of the teams through three scales, namely team learning scale, team diversity scale, and team efficacy scale. Respondents in this research were the active team members in a company, PT. Alkindo Mitraraya. The total ...

  18. The Implementation of an Interdisciplinary Co-planning Team Model Among Mathematics and Science Teachers

    Science.gov (United States)

    Brown, Michelle Cetner

    In recent years, Science, Technology, Engineering, and Mathematics (STEM) education has become a significant focus of numerous theoretical and commentary articles as researchers have advocated for active and conceptually integrated learning in classrooms. Drawing connections between previously isolated subjects, especially mathematics and science, has been shown to increase student engagement, performance, and critical thinking skills. However, obstacles exist to the widespread implementation of integrated curricula in schools, such as teacher knowledge and school structure and culture. The Interdisciplinary Co-planning Team (ICT) model, in which teachers of different subjects come together regularly to discuss connections between content and to plan larger interdisciplinary activities and smaller examples and discussion points, offers a method for teachers to create sustainable interdisciplinary experiences for students within the bounds of the current school structure. The ICT model is designed to be an iterative, flexible model, providing teachers with both a regular time to come together as "experts" and "teach" each other important concepts from their separate disciplines, and then to bring their shared knowledge and language back to their own classrooms to implement with their students in ways that fit their individual classes. In this multiple-case study, which aims to describe the nature of the co-planning process, the nature of plans, and changes in teacher beliefs as a result of co-planning, three pairs of secondary mathematics and science teachers participated in a 10-week intervention with the ICT model. Each pair constituted one case. Data included observations, interviews, and artifact collection. All interviews, whole-group sessions, and co-planning sessions were transcribed and coded using both theory-based and data-based codes. Finally, a cross-case comparison was used to present similarities and differences across cases. Findings suggest that the

  19. The juggling paradigm: a novel social neuroscience approach to identify neuropsychophysiological markers of team mental models.

    Science.gov (United States)

    Filho, Edson; Bertollo, Maurizio; Robazza, Claudio; Comani, Silvia

    2015-01-01

    Since the discovery of the mirror neuron system in the 1980s, little, if any, research has been devoted to the study of interactive motor tasks (Goldman, 2012). Scientists interested in the neuropsychophysiological markers of joint motor action have relied on observation paradigms and passive tasks rather than dynamic paradigms and interactive tasks (Konvalinka and Roepstorff, 2012). Within this research scenario, we introduce a novel research paradigm that uses cooperative juggling as a platform to capture peripheral (e.g., skin conductance, breathing and heart rates, electromyographic signals) and central neuropsychophysiological (e.g., functional connectivity within and between brains) markers underlying the notion of team mental models (TMM). We discuss the epistemological and theoretical grounds of a cooperative juggling paradigm, and propose testable hypotheses on neuropsychophysiological markers underlying TMM. Furthermore, we present key methodological concerns that may influence peripheral responses as well as single and hyperbrain network configurations during joint motor action. Preliminary findings of the paradigm are highlighted. We conclude by delineating avenues for future research.

  20. The Preventable Admissions Care Team (PACT): A Social Work-Led Model of Transitional Care.

    Science.gov (United States)

    Basso Lipani, Maria; Holster, Kathleen; Bussey, Sarah

    2015-10-01

    In 2010, the Preventable Admissions Care Team (PACT), a social work-led transitional care model, was developed at Mount Sinai to reduce 30-day readmissions among high-risk patients. PACT begins with a comprehensive bedside assessment to identify the psychosocial drivers of readmission. In partnership with the patient and family, a patient-centered action plan is developed and carried out through phone calls, accompaniments, navigations and home visits, as needed, in the first 30 days following discharge. 620 patients were enrolled during the pilot from September 2010-August 2012. Outcomes demonstrated a 43% reduction in inpatient utilization and a 54% reduction in emergency department visits among enrollees. In addition, 93% of patients had a follow-up appointment within 7-10 days of discharge and 90% of patients attended the appointment. The success of PACT has led to additional funding from the Centers for Medicare and Medicaid Services under the Community-based Care Transitions Program and several managed care companies seeking population health management interventions for high risk members.

  1. The juggling paradigm: a novel social neuroscience approach to identify neuropsychophysiological markers of team mental models

    Directory of Open Access Journals (Sweden)

    Edson eFilho

    2015-06-01

    Full Text Available Since the discovery of the mirror neuron system in the 1990s, little, if any, research has been devoted to the study of interactive motor tasks (Goldman, 2012. Scientists interested in the neuropsychophysiological markers of joint motor action have relied on observation paradigms and passive tasks rather than dynamic paradigms and interactive tasks (Konvalinka and Roepstorff, 2012. Within this research scenario, we introduce a novel research paradigm that uses cooperative juggling as a platform to capture peripheral (e.g., skin conductance, breathing and heart rates, electromyographic signals and central neuropsychophysiological (e.g., functional connectivity within and between brains markers underlying the conceptual notion of team mental models (TMM. We discuss the epistemological and theoretical grounds of a cooperative juggling paradigm, and propose testable hypotheses on neuropsychophysiological markers underlying TMM. Furthermore, we present key methodological concerns that may influence peripheral responses as well as single and hyperbrain network configurations during joint motor action. Preliminary findings of the paradigm are highlighted. We conclude by delineating avenues for future research.

  2. From Practice to Evidence in Child Welfare: Model Specification and Fidelity Measurement of Team Decisionmaking.

    Science.gov (United States)

    Bearman, Sarah Kate; Garland, Ann F; Schoenwald, Sonja K

    2014-04-01

    Fidelity measurement methods have traditionally been used to develop and evaluate the effects of psychosocial treatments and, more recently, their implementation in practice. The fidelity measurement process can also be used to operationally define and specify components of emerging but untested practices outside the realm of conventional treatment. Achieving optimal fidelity measurement effectiveness (scientific validity and reliability) and efficiency (feasibility and relevance in routine care contexts) is challenging. The purpose of this paper is to identify strategies to address these challenges in child welfare system practices. To illustrate the challenges, and operational steps to address them, we present a case example using the "Team Decisionmaking" (TDM; Annie E. Casey Foundation) intervention. This intervention has potential utility for decreasing initial entry into and time spent in foster care and increasing rates of reunification and relative care. While promising, the model requires rigorous research to refine knowledge regarding the relationship between intervention components and outcomes-research that requires fidelity measurement. The intent of this paper is to illustrate how potentially generalizable steps for developing effective and efficient fidelity measurement methods can be used to more clearly define and test the effects of child welfare system practices.

  3. Model-based Organization Manning, Strategy, and Structure Design via Team Optimal Design (TOD) Methodology

    National Research Council Canada - National Science Library

    Levchuk, Georgiy; Chopra, Kari; Paley, Michael; Levchuk, Yuri; Clark, David

    2005-01-01

    This paper describes a quantitative Team Optimal Design (TOD) methodology and its application to the design of optimized manning for E-10 Multi-sensor Command and Control Aircraft. The E-10 (USAF, 2002...

  4. An action-learning model to assist Circuit Teams to support School ...

    African Journals Online (AJOL)

    EAOSA

    2016-11-17

    Nov 17, 2016 ... In some cases, the circuit managers were so incompetent that ... Teams. This paper builds on work previously published in this regard (Van der Voort & Wood,. 2014). ... whole-school development, since “school success is.

  5. Development of a measure of model fidelity for mental health Crisis Resolution Teams.

    Science.gov (United States)

    Lloyd-Evans, Brynmor; Bond, Gary R; Ruud, Torleif; Ivanecka, Ada; Gray, Richard; Osborn, David; Nolan, Fiona; Henderson, Claire; Mason, Oliver; Goater, Nicky; Kelly, Kathleen; Ambler, Gareth; Morant, Nicola; Onyett, Steve; Lamb, Danielle; Fahmy, Sarah; Brown, Ellie; Paterson, Beth; Sweeney, Angela; Hindle, David; Fullarton, Kate; Frerichs, Johanna; Johnson, Sonia

    2016-12-01

    Crisis Resolution Teams (CRTs) provide short-term intensive home treatment to people experiencing mental health crisis. Trial evidence suggests CRTs can be effective at reducing hospital admissions and increasing satisfaction with acute care. When scaled up to national level however, CRT implementation and outcomes have been variable. We aimed to develop and test a fidelity scale to assess adherence to a model of best practice for CRTs, based on best available evidence. A concept mapping process was used to develop a CRT fidelity scale. Participants (n = 68) from a range of stakeholder groups prioritised and grouped statements (n = 72) about important components of the CRT model, generated from a literature review, national survey and qualitative interviews. These data were analysed using Ariadne software and the resultant cluster solution informed item selection for a CRT fidelity scale. Operational criteria and scoring anchor points were developed for each item. The CORE CRT fidelity scale was then piloted in 75 CRTs in the UK to assess the range of scores achieved and feasibility for use in a 1-day fidelity review process. Trained reviewers (n = 16) rated CRT service fidelity in a vignette exercise to test the scale's inter-rater reliability. There were high levels of agreement within and between stakeholder groups regarding the most important components of the CRT model. A 39-item measure of CRT model fidelity was developed. Piloting indicated that the scale was feasible for use to assess CRT model fidelity and had good face validity. The wide range of item scores and total scores across CRT services in the pilot demonstrate the measure can distinguish lower and higher fidelity services. Moderately good inter-rater reliability was found, with an estimated correlation between individual ratings of 0.65 (95% CI: 0.54 to 0.76). The CORE CRT Fidelity Scale has been developed through a rigorous and systematic process. Promising initial testing indicates

  6. Asian Tracer Experiment and Atmospheric Modeling (TEAM) Project: Draft Field Work Plan for the Asian Long-Range Tracer Experiment

    Energy Technology Data Exchange (ETDEWEB)

    Allwine, K Jerry; Flaherty, Julia E.

    2007-08-01

    This report provides an experimental plan for a proposed Asian long-range tracer study as part of the international Tracer Experiment and Atmospheric Modeling (TEAM) Project. The TEAM partners are China, Japan, South Korea and the United States. Optimal times of year to conduct the study, meteorological measurements needed, proposed tracer release locations, proposed tracer sampling locations and the proposed durations of tracer releases and subsequent sampling are given. Also given are the activities necessary to prepare for the study and the schedule for completing the preparation activities leading to conducting the actual field operations. This report is intended to provide the TEAM members with the information necessary for planning and conducting the Asian long-range tracer study. The experimental plan is proposed, at this time, to describe the efforts necessary to conduct the Asian long-range tracer study, and the plan will undoubtedly be revised and refined as the planning goes forward over the next year.

  7. “Systemic approach to teamwork - a model for team building”

    OpenAIRE

    Nikolova, Elena; Gogova Samonikov, Marija

    2012-01-01

    Today in the global economy the importance of teamwork in the workplace receives significant attention. Teamwork is not only important, it is essential, especially for the companies that are part of the international business - they produce at one continent at the moment, then a few days later deliver the goods to the customers to another. The focus of this paper is the analysis of the team building process, regardless of the purpose or the task the teams perform. The main objective is t...

  8. Mothers' power assertion; children's negative, adversarial orientation; and future behavior problems in low-income families: early maternal responsiveness as a moderator of the developmental cascade.

    Science.gov (United States)

    Kim, Sanghag; Kochanska, Grazyna

    2015-02-01

    Parental power assertion, a key dimension of family environment, generally sets in motion detrimental developmental cascades; however, evidence suggests that other qualities of parenting, such as responsiveness, can significantly moderate those processes. Mechanisms that account for such moderating effects are not fully understood. We propose a conceptual model of processes linking parental power assertion, parental responsiveness, children's negative, adversarial, rejecting orientation toward the parent, and behavior problems. We test that model in a short-term longitudinal design involving 186 low-income, ethnically diverse mothers and their toddlers. When children were 30 months, the dyads were observed in multiple, lengthy, naturalistic laboratory interactions to assess behaviorally mothers' responsiveness and their power-assertive control style. At 33 months, we observed behavioral indicators of children's negative, adversarial, rejecting orientation toward the mothers in several naturalistic and standardized paradigms. At 40 months, mothers rated children's behavior problems. The proposed moderated mediation sequence, tested using a new approach, PROCESS (Hayes, 2013), was supported. The indirect effect from maternal power assertion to children's negative, adversarial orientation to future behavior problems was present when mothers' responsiveness was either low or average but absent when mothers were highly responsive. This study elucidates a potential process that may link parental power assertion with behavior problems and highlights how positive aspects of parenting can moderate this process and defuse maladaptive developmental cascades. It also suggests possible targets for parenting intervention and prevention efforts. PsycINFO Database Record (c) 2015 APA, all rights reserved.

  9. Mothers’ Power Assertion, Children’s Negative, Adversarial Orientation, and Future Behavior Problems in Low-Income Families: Early Maternal Responsiveness as a Moderator of the Developmental Cascade

    Science.gov (United States)

    Kim, Sanghag; Kochanska, Grazyna

    2014-01-01

    Parental power assertion, a key dimension of family environment, generally sets in motion detrimental developmental cascades; however, evidence suggests that other qualities of parenting, such as responsiveness, can significantly moderate those processes. Mechanisms that account for such moderating effects are not fully understood. We propose a conceptual model of processes linking parental power assertion, parental responsiveness, children’s negative, adversarial, rejecting orientation toward the parent, and behavior problems. We test that model in a short-term longitudinal design involving 186 low-income, ethnically diverse mothers and their toddlers. When children were 30 months, the dyads were observed in multiple, lengthy, naturalistic laboratory interactions to assess behaviorally mothers’ responsiveness and their power-assertive control style. At 33 months, we observed behavioral indicators of children’s negative, adversarial, rejecting orientation toward the mothers in several naturalistic and standardized paradigms. At 40 months, mothers rated children’s behavior problems. The proposed moderated mediation sequence, tested using a new approach, PROCESS (Hayes, 2013), was supported. The indirect effect from maternal power assertion to children’s negative, adversarial orientation to future behavior problems was present when mothers’ responsiveness was either low or average but absent when mothers were highly responsive. This study elucidates a potential process that may link parental power assertion with behavior problems and highlights how positive aspects of parenting can moderate this process and defuse maladaptive developmental cascades. It also suggests possible targets for parenting intervention and prevention efforts. PMID:25401483

  10. ICT Collaboration Tools for Virtual Teams in Terms of the SECI Model

    Directory of Open Access Journals (Sweden)

    Monika Davidekova

    2017-02-01

    Full Text Available Nowadays, the current state of development of information and communication technology (ICT connects individuals across time and space in one common environment, that is accessible for anyone, the virtual world. To collaborate with somebody or to participate in a team activity does not require a physical presence anymore. Virtual settings allow real-time communication and cooperation across any distance at any time with negligible delay. ICT allows formation of virtual teams where those accomplish various functions in work, education and private life. Compared to local teams of physically present individuals, the collaboration in virtual environments is more intensively influenced by significantly impacting factors and requires intensive motivation of the team members, extensive support by their team leader and appropriate technology. Among all the available ICT tools, not each ICT tool is equally suitable for each and every team activity. This paper aims to provide analysis of various ICT tools, to disclose their potential to contribute to team’s quality communication and to reduce drawbacks caused by impersonal environment. Our aim is to optimize the composition of the ICT supporting infrastructure in order to form successful and effective collaboration.

  11. The Delta Cooperative Model: a Dynamic and Innovative Team-Work Activity to Develop Research Skills in Microbiology

    Directory of Open Access Journals (Sweden)

    Carlos Rios-Velazquez

    2009-12-01

    Full Text Available The Delta Cooperative Model (DCM is a dynamic and innovative teamwork design created to develop fundamentals in research skills. High school students in the DCM belong to the Upward Bound Science and Math (UBSM program at the Inter American University, Ponce Campus. After workshops on using the scientific method, students were organized into groups of three students with similar research interests. Each student had to take on a role within the group as either a researcher, data analyst, or research editor. Initially, each research team developed hypothesis-driven ideas on their proposed project. In intrateam research meetings, they emphasized team-specific tasks. Next, interteam meetings were held to present ideas and receive critical input. Finally, oral and poster research presentations were conducted at the UBSM science fair. Several team research projects covered topics in medical, environmental, and general microbiology. The three major assessment areas for the workshop and DCM included: (i student’s perception of the workshops’ effectiveness in developing skills, content, and values; (ii research team self- and group participation evaluation, and (iii oral and poster presentation during the science fair. More than 91% of the students considered the workshops effective in the presentation of scientific method fundamentals. The combination of the workshop and the DCM increased student’s knowledge by 55% from pre- to posttests. Two rubrics were designed to assess the oral presentation and poster set-up. The poster and oral presentation scores averaged 83%and 75%respectively. Finally, we present a team assessment instrument that allows the self- and group evaluation of each research team. While the DCM has educational plasticity and versatility, here we document how this model has been successfully incorporated in training and engaging students in scientific research in microbiology.

  12. The Delta Cooperative Model: a Dynamic and Innovative Team-Work Activity to Develop Research Skills in Microbiology

    Directory of Open Access Journals (Sweden)

    Ivan Baez-Santos

    2006-12-01

    Full Text Available The Delta Cooperative Model (DCM is a dynamic and innovative teamwork design created to develop fundamentals in research skills. High school students in the DCM belong to the Upward Bound Science and Math (UBSM program at the Inter American University, Ponce Campus. After workshops on using the scientific method, students were organized into groups of three students with similar research interests. Each student had to take on a role within the group as either a researcher, data analyst, or research editor. Initially, each research team developed hypothesis-driven ideas on their proposed project. In intrateam research meetings, they emphasized team-specific tasks. Next, interteam meetings were held to present ideas and receive critical input. Finally, oral and poster research presentations were conducted at the UBSM science fair. Several team research projects covered topics in medical, environmental, and general microbiology. The three major assessment areas for the workshop and DCM included: (i student’s perception of the workshops’ effectiveness in developing skills, content, and values; (ii research team self- and group participation evaluation, and (iii oral and poster presentation during the science fair. More than 91% of the students considered the workshops effective in the presentation of scientific method fundamentals. The combination of the workshop and the DCM increased student’s knowledge by 55% from pre- to posttests. Two rubrics were designed to assess the oral presentation and poster set-up. The poster and oral presentation scores averaged 83%and 75%respectively. Finally, we present a team assessment instrument that allows the self- and group evaluation of each research team. While the DCM has educational plasticity and versatility, here we document how this model has been successfully incorporated in training and engaging students in scientific research in microbiology.

  13. Generative Adversarial Networks for Noise Reduction in Low-Dose CT.

    Science.gov (United States)

    Wolterink, Jelmer M; Leiner, Tim; Viergever, Max A; Isgum, Ivana

    2017-12-01

    Noise is inherent to low-dose CT acquisition. We propose to train a convolutional neural network (CNN) jointly with an adversarial CNN to estimate routine-dose CT images from low-dose CT images and hence reduce noise. A generator CNN was trained to transform low-dose CT images into routine-dose CT images using voxelwise loss minimization. An adversarial discriminator CNN was simultaneously trained to distinguish the output of the generator from routine-dose CT images. The performance of this discriminator was used as an adversarial loss for the generator. Experiments were performed using CT images of an anthropomorphic phantom containing calcium inserts, as well as patient non-contrast-enhanced cardiac CT images. The phantom and patients were scanned at 20% and 100% routine clinical dose. Three training strategies were compared: the first used only voxelwise loss, the second combined voxelwise loss and adversarial loss, and the third used only adversarial loss. The results showed that training with only voxelwise loss resulted in the highest peak signal-to-noise ratio with respect to reference routine-dose images. However, CNNs trained with adversarial loss captured image statistics of routine-dose images better. Noise reduction improved quantification of low-density calcified inserts in phantom CT images and allowed coronary calcium scoring in low-dose patient CT images with high noise levels. Testing took less than 10 s per CT volume. CNN-based low-dose CT noise reduction in the image domain is feasible. Training with an adversarial network improves the CNNs ability to generate images with an appearance similar to that of reference routine-dose CT images.

  14. Team Sports

    Science.gov (United States)

    ... Games. USA Hockey offers additional information and resources. Softball It's not easy to field full teams of ... an annual tournament sponsored by the National Wheelchair Softball Association , where thirty or so teams show up ...

  15. Assessing Orchestrated Simulation Through Modeling to Quantify the Benefits of Unmanned-Teaming in a Tactical ASW Scenario

    Science.gov (United States)

    2018-03-01

    be used by the model to create pseudo- random behavior for agents. This process is a critical aspect of the simulation because it allows for the...ORCHESTRATED SIMULATION THROUGH MODELING TO QUANTIFY THE BENEFITS OF UNMANNED–MANNED TEAMING IN A TACTICAL ASW SCENARIO by Preston T. Tilus March...Leave blank) 2. REPORT DATE March 2018 3. REPORT TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE ASSESSING ORCHESTRATED SIMULATION

  16. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose.

    Science.gov (United States)

    Wang, Yan; Yu, Biting; Wang, Lei; Zu, Chen; Lalush, David S; Lin, Weili; Wu, Xi; Zhou, Jiliu; Shen, Dinggang; Zhou, Luping

    2018-07-01

    Positron emission tomography (PET) is a widely used imaging modality, providing insight into both the biochemical and physiological processes of human body. Usually, a full dose radioactive tracer is required to obtain high-quality PET images for clinical needs. This inevitably raises concerns about potential health hazards. On the other hand, dose reduction may cause the increased noise in the reconstructed PET images, which impacts the image quality to a certain extent. In this paper, in order to reduce the radiation exposure while maintaining the high quality of PET images, we propose a novel method based on 3D conditional generative adversarial networks (3D c-GANs) to estimate the high-quality full-dose PET images from low-dose ones. Generative adversarial networks (GANs) include a generator network and a discriminator network which are trained simultaneously with the goal of one beating the other. Similar to GANs, in the proposed 3D c-GANs, we condition the model on an input low-dose PET image and generate a corresponding output full-dose PET image. Specifically, to render the same underlying information between the low-dose and full-dose PET images, a 3D U-net-like deep architecture which can combine hierarchical features by using skip connection is designed as the generator network to synthesize the full-dose image. In order to guarantee the synthesized PET image to be close to the real one, we take into account of the estimation error loss in addition to the discriminator feedback to train the generator network. Furthermore, a concatenated 3D c-GANs based progressive refinement scheme is also proposed to further improve the quality of estimated images. Validation was done on a real human brain dataset including both the normal subjects and the subjects diagnosed as mild cognitive impairment (MCI). Experimental results show that our proposed 3D c-GANs method outperforms the benchmark methods and achieves much better performance than the state

  17. Effects of Two Different Training Periodization Models on Physical and Physiological Aspects of Elite Female Team Handball Players.

    Science.gov (United States)

    Manchado, Carmen; Cortell-Tormo, Juan M; Tortosa-Martínez, Juan

    2018-01-01

    Manchado, C, Cortell-Tormo, JM, and Tortosa-Martínez, J. Effects of two different training periodization models on physical and physiological aspects of elite female team handball players. J Strength Cond Res 32(1): 280-287, 2018-The aim of this study was to compare training-induced changes in selected physiological and physical team handball performance factors after 2 training periodization models: traditional periodization (TP) vs. block periodization (BP). Eleven female team handball players who played over 2 consecutive seasons for a Spanish first league team were assessed twice per season during a training cycle. On each occasion, participants completed anthropometric, maximal strength, and lower-body power assessments. In addition, incremental tests to determine maximum oxygen uptake (V[Combining Dot Above]O2max), sprint- and sport-specific throwing velocity tests were performed. Block periodization group experienced significantly greater improvements than TP on squat jump (5.97%; p handball performance factors in high level female handball players.

  18. A new quality assurance package for hospital palliative care teams: the Trent Hospice Audit Group model.

    Science.gov (United States)

    Hunt, J; Keeley, V L; Cobb, M; Ahmedzai, S H

    2004-07-19

    Cancer patients in hospitals are increasingly cared for jointly by palliative care teams, as well as oncologists and surgeons. There has been a considerable growth in the number and range of hospital palliative care teams (HPCTs) in the United Kingdom. HPCTs can include specialist doctors and nurses, social workers, chaplains, allied health professionals and pharmacists. Some teams work closely with existing cancer multidisciplinary teams (MDTs) while others are less well integrated. Quality assurance and clinical governance requirements have an impact on the monitoring of such teams, but so far there is no standardised way of measuring the amount and quality of HPCTs' workload. Trent Hospice Audit Group (THAG) is a multiprofessional research group, which has been developing standards and audit tools for palliative care since the 1990s. These follow a format of structure-process-outcome for standards and measures. We describe a collaborative programme of work with HPCTs that has led to a new set of standards and audit tools. Nine HPCTs participated in three rounds of consultation, piloting and modification of standard statements and tools. The final pack of HPCT quality assurance tools covers: policies and documentation; medical notes review; questionnaires for ward-based staff. The tools measure the HPCT workload and casemix; the views of ward-based staff on the supportive role of the HPCT and the effectiveness of HPCT education programmes, particularly in changing practice. The THAG HPCT quality assurance pack is now available for use in cancer peer review.

  19. Teaming up

    DEFF Research Database (Denmark)

    Warhuus, Jan; Günzel-Jensen, Franziska; Robinson, Sarah

    2016-01-01

    types of team formation: random teacher pre-assigned, student selection, and teacher directed diversity. In each of these modules, ethnographic methods (interviews and observations) were employed. Additionally, we had access to students learning logs, formative and summative assessments, and final exams...... functioning entrepreneurial student teams as most teams lack personal chemistry which makes them anchor their work too much in a pre-defined project. In contrast, we find that students that can form their own teams aim for less diverse teams than what is achieved by random assignment. However, the homophily......Questions we care about (Objectives): When students have to work on challenging tasks, as it is often the case in entrepreneurship classrooms that leverage experiential learning, team success becomes central to the students learning. Yet, the formation of teams is often left up to the students...

  20. Investigating Team Learning in a Military Context

    Science.gov (United States)

    Veestraeten, Marlies; Kyndt, Eva; Dochy, Filip

    2014-01-01

    As teams have become fundamental parts of today's organisations, the need for these teams to function and learn efficiently and effectively is widely emphasised. Also in military contexts team learning is vital. The current article examines team learning behaviour in military teams as it aims to cross-validate a team learning model that was…

  1. Putting the "Team" in the Fine Arts Team: An Application of Business Management Team Concepts

    Science.gov (United States)

    Fisher, Ryan

    2007-01-01

    In this article, the author discusses current challenges to the idea of teamwork in fine arts teams, redefines the terms team and collaboration using a business management perspective, discusses the success of effective teams in the business world and the characteristics of those teams, and proposes the implementation of the business model of…

  2. Models and Methods for Adaptive Management of Individual and Team-Based Training Using a Simulator

    Science.gov (United States)

    Lisitsyna, L. S.; Smetyuh, N. P.; Golikov, S. P.

    2017-05-01

    Research of adaptive individual and team-based training has been analyzed and helped find out that both in Russia and abroad, individual and team-based training and retraining of AASTM operators usually includes: production training, training of general computer and office equipment skills, simulator training including virtual simulators which use computers to simulate real-world manufacturing situation, and, as a rule, the evaluation of AASTM operators’ knowledge determined by completeness and adequacy of their actions under the simulated conditions. Such approach to training and re-training of AASTM operators stipulates only technical training of operators and testing their knowledge based on assessing their actions in a simulated environment.

  3. Empirical Evaluation of a Model of Team Collaboration Using Selected Transcripts from September 11, 2001

    Science.gov (United States)

    2009-06-01

    Bianchi. MISC MISC MISC 1498 Sergeant McCain: Yeah, this is Sergeant Gaber from the 178th Op. I’d like to go secure. TIE TIE TIE 1499 Male Speaker...Sergeant Bianchi: Okay. MISC MISC MISC 1502 Sergeant Gaber : Northeast Air Defense Sector, this is Sergeant McCain, MISC MISC MISC may...Terrorist Team. TKS TKS TKS We need to get a BPR so the plane can land in Boston. TSOG TSOG TSOG 1504 Sergeant Gaber : Counter terrorist team

  4. PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light

    Science.gov (United States)

    Stark, Dominic; Launet, Barthelemy; Schawinski, Kevin; Zhang, Ce; Koss, Michael; Turp, M. Dennis; Sartori, Lia F.; Zhang, Hantian; Chen, Yiru; Weigel, Anna K.

    2018-06-01

    The study of unobscured active galactic nuclei (AGN) and quasars depends on the reliable decomposition of the light from the AGN point source and the extended host galaxy light. The problem is typically approached using parametric fitting routines using separate models for the host galaxy and the point spread function (PSF). We present a new approach using a Generative Adversarial Network (GAN) trained on galaxy images. We test the method using Sloan Digital Sky Survey r-band images with artificial AGN point sources added that are then removed using the GAN and with parametric methods using GALFIT. When the AGN point source is more than twice as bright as the host galaxy, we find that our method, PSFGAN, can recover point source and host galaxy magnitudes with smaller systematic error and a lower average scatter (49 per cent). PSFGAN is more tolerant to poor knowledge of the PSF than parametric methods. Our tests show that PSFGAN is robust against a broadening in the PSF width of ± 50 per cent if it is trained on multiple PSFs. We demonstrate that while a matched training set does improve performance, we can still subtract point sources using a PSFGAN trained on non-astronomical images. While initial training is computationally expensive, evaluating PSFGAN on data is more than 40 times faster than GALFIT fitting two components. Finally, PSFGAN is more robust and easy to use than parametric methods as it requires no input parameters.

  5. PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light

    Science.gov (United States)

    Stark, Dominic; Launet, Barthelemy; Schawinski, Kevin; Zhang, Ce; Koss, Michael; Turp, M. Dennis; Sartori, Lia F.; Zhang, Hantian; Chen, Yiru; Weigel, Anna K.

    2018-03-01

    The study of unobscured active galactic nuclei (AGN) and quasars depends on the reliable decomposition of the light from the AGN point source and the extended host galaxy light. The problem is typically approached using parametric fitting routines using separate models for the host galaxy and the point spread function (PSF). We present a new approach using a Generative Adversarial Network (GAN) trained on galaxy images. We test the method using Sloan Digital Sky Survey (SDSS) r-band images with artificial AGN point sources added which are then removed using the GAN and with parametric methods using GALFIT. When the AGN point source PS is more than twice as bright as the host galaxy, we find that our method, PSFGAN, can recover PS and host galaxy magnitudes with smaller systematic error and a lower average scatter (49%). PSFGAN is more tolerant to poor knowledge of the PSF than parametric methods. Our tests show that PSFGAN is robust against a broadening in the PSF width of ±50% if it is trained on multiple PSF's. We demonstrate that while a matched training set does improve performance, we can still subtract point sources using a PSFGAN trained on non-astronomical images. While initial training is computationally expensive, evaluating PSFGAN on data is more than 40 times faster than GALFIT fitting two components. Finally, PSFGAN it is more robust and easy to use than parametric methods as it requires no input parameters.

  6. Generative Adversarial Networks Based Heterogeneous Data Integration and Its Application for Intelligent Power Distribution and Utilization

    Directory of Open Access Journals (Sweden)

    Yuanpeng Tan

    2018-01-01

    Full Text Available Heterogeneous characteristics of a big data system for intelligent power distribution and utilization have already become more and more prominent, which brings new challenges for the traditional data analysis technologies and restricts the comprehensive management of distribution network assets. In order to solve the problem that heterogeneous data resources of power distribution systems are difficult to be effectively utilized, a novel generative adversarial networks (GANs based heterogeneous data integration method for intelligent power distribution and utilization is proposed. In the proposed method, GANs theory is introduced to expand the distribution of completed data samples. Then, a so-called peak clustering algorithm is proposed to realize the finite open coverage of the expanded sample space, and repair those incomplete samples to eliminate the heterogeneous characteristics. Finally, in order to realize the integration of the heterogeneous data for intelligent power distribution and utilization, the well-trained discriminator model of GANs is employed to check the restored data samples. The simulation experiments verified the validity and stability of the proposed heterogeneous data integration method, which provides a novel perspective for the further data quality management of power distribution systems.

  7. Are Forensic Experts Already Biased before Adversarial Legal Parties Hire Them?

    Directory of Open Access Journals (Sweden)

    Tess M S Neal

    Full Text Available This survey of 206 forensic psychologists tested the "filtering" effects of preexisting expert attitudes in adversarial proceedings. Results confirmed the hypothesis that evaluator attitudes toward capital punishment influence willingness to accept capital case referrals from particular adversarial parties. Stronger death penalty opposition was associated with higher willingness to conduct evaluations for the defense and higher likelihood of rejecting referrals from all sources. Conversely, stronger support was associated with higher willingness to be involved in capital cases generally, regardless of referral source. The findings raise the specter of skewed evaluator involvement in capital evaluations, where evaluators willing to do capital casework may have stronger capital punishment support than evaluators who opt out, and evaluators with strong opposition may work selectively for the defense. The results may provide a partial explanation for the "allegiance effect" in adversarial legal settings such that preexisting attitudes may contribute to partisan participation through a self-selection process.

  8. Are Forensic Experts Already Biased before Adversarial Legal Parties Hire Them?

    Science.gov (United States)

    2016-01-01

    This survey of 206 forensic psychologists tested the “filtering” effects of preexisting expert attitudes in adversarial proceedings. Results confirmed the hypothesis that evaluator attitudes toward capital punishment influence willingness to accept capital case referrals from particular adversarial parties. Stronger death penalty opposition was associated with higher willingness to conduct evaluations for the defense and higher likelihood of rejecting referrals from all sources. Conversely, stronger support was associated with higher willingness to be involved in capital cases generally, regardless of referral source. The findings raise the specter of skewed evaluator involvement in capital evaluations, where evaluators willing to do capital casework may have stronger capital punishment support than evaluators who opt out, and evaluators with strong opposition may work selectively for the defense. The results may provide a partial explanation for the “allegiance effect” in adversarial legal settings such that preexisting attitudes may contribute to partisan participation through a self-selection process. PMID:27124416

  9. Consensus of discrete-time multi-agent systems with adversaries and time delays

    Science.gov (United States)

    Wu, Yiming; He, Xiongxiong; Liu, Shuai; Xie, Lihua

    2014-05-01

    This paper studies the resilient asymptotic consensus problem for discrete-time multi-agent systems in the presence of adversaries and transmission delays. The network is assumed to have ? loyal agents and ? adversarial agents, and each loyal agent in the network has no knowledge of the network topology other than an upper bound on the number of adversarial agents in its neighborhood. For the considered networked system, only locally delayed information is available for each loyal agent, and also the information flow is directed and a control protocol using only local information is designed to guarantee the realization of consensus with respect to communication graph, which satisfies a featured network robustness. Numerical examples are finally given to demonstrate the effectiveness of theoretical results.

  10. Effects of Personality on Conflict Resolution in Student Teams: A Structural Equation Modeling Approach

    Science.gov (United States)

    Forrester, William R; Tashchian, Armen

    2013-01-01

    This paper reports results of a study of the effects of five personality dimensions on conflict resolution preferences in student teams. Two hundred and sixteen students provided self-reports of personality dimensions and conflict styles using the Neo-FFI and ROCI-II scales. Simultaneous effects of five personality dimensions on five conflict…

  11. Toward a model of socializing project team members : An integrative approach

    NARCIS (Netherlands)

    Batistič, S.; Kenda, R.

    2018-01-01

    Project work is becoming more and more important in everyday business, as is staffing the right newcomers for the project. Recognizing that not all new project team workers possess equally important specific knowledge, skills and abilities for the success of projects, we draw on project management,

  12. Model for Team Training Using the Advanced Trauma Operative Management Course: Pilot Study Analysis.

    Science.gov (United States)

    Perkins, R Serene; Lehner, Kathryn A; Armstrong, Randy; Gardiner, Stuart K; Karmy-Jones, Riyad C; Izenberg, Seth D; Long, William B; Wackym, P Ashley

    2015-01-01

    Education and training of surgeons has traditionally focused on the development of individual knowledge, technical skills, and decision making. Team training with the surgeon's operating room staff has not been prioritized in existing educational paradigms, particularly in trauma surgery. We aimed to determine whether a pilot curriculum for surgical technicians and nurses, based on the American College of Surgeons' Advanced Trauma Operative Management (ATOM) course, would improve staff knowledge if conducted in a team-training environment. Between December 2012 and December 2014, 22 surgical technicians and nurses participated in a curriculum complementary to the ATOM course, consisting of 8 individual 8-hour training sessions designed by and conducted at our institution. Didactic and practical sessions included educational content, hands-on instruction, and alternating role play during 5 system-specific injury scenarios in a simulated operating room environment. A pre- and postcourse examination was administered to participants to assess for improvements in team members' didactic knowledge. Course participants displayed a significant improvement in didactic knowledge after working in a team setting with trauma surgeons during the ATOM course, with a 9-point improvement on the postcourse examination (83%-92%, p = 0.0008). Most participants (90.5%) completing postcourse surveys reported being "highly satisfied" with course content and quality after working in our simulated team-training setting. Team training is critical to improving the knowledge base of surgical technicians and nurses in the trauma operative setting. Improved communication, efficiency, appropriate equipment use, and staff awareness are the desired outcomes when shifting the paradigm from individual to surgical team training so that improved patient outcomes, decreased risk, and cost savings can be achieved. Determine whether a pilot curriculum for surgical technicians and nurses, based on the

  13. Development of an Integrated Team Training Design and Assessment Architecture to Support Adaptability in Healthcare Teams

    Science.gov (United States)

    2017-10-01

    provision of training is not a major focus of this project, trainees were able to practice trauma management skills as well as leadership skills...SUBJECT TERMS Military healthcare team; Trauma teams; Team training; Teamwork; Adaptive performance; Leadership ; Simulation; Modeling; Bayesian belief...ABBREVIATIONS Healthcare team Trauma Trauma teams Team training Teamwork Adaptability Adaptive performance Leadership Simulation Modeling

  14. From the combat medic to the forward surgical team: the Madigan model for improving trauma readiness of brigade combat teams fighting the Global War on Terror.

    Science.gov (United States)

    Sohn, Vance Y; Miller, Joseph P; Koeller, Craig A; Gibson, Steven O; Azarow, Kenneth S; Myers, Jerome B; Beekley, Alec C; Sebesta, James A; Christensen, Jon B; Rush, Robert M

    2007-03-01

    Medics assigned to combat units have a notable paucity of trauma experience. Our goal was to provide intense trauma refresher training for the conventional combat medic to better prepare them for combat casualty care in the War on Terror. Our Tactical Combat Casualty Care Course (TC3) consisted of the following five phases: (1) One and one-half-day didactic session; (2) Half-day simulation portion with interactive human surgical simulators for anatomical correlation of procedures and team building; (3) Half-day of case presentations and triage scenarios from Iraq/Afghanistan and associated skills stations; (4) Half-day live tissue lab where procedures were performed on live anesthetized animals in a controlled environment; and (5) One-day field phase where live anesthetized animals and surgical simulators were combined in a real-time, field-training event to simulate realistic combat injuries, evacuation problems, and mass casualty scenarios. Data collection consisted of surveys, pre- and posttests, and after-action comments. A total of 1317 personnel participated in TC3 from October 2003 through May 2005. Over the overlapping study period from December 2004 to April 2005, 327 soldiers participated in the formal five-phase course. Three hundred four (94%) students were combat medics who were preparing for combat operations in Iraq or Afghanistan. Of those completing the training, 97% indicated their confidence and ability to treat combat casualties were markedly improved. Moreover, of those 140 medics who took the course and deployed to Iraq for 1 year, 99% indicated that the principles taught in the TC3 course helped with battlefield management of injured casualties during their deployment. The hybrid training model is an effective method for training medical personnel to deal with modern battle injuries. This course increases the knowledge and confidence of combat medics deploying and fighting the Global War on Terrorism.

  15. Cooperative Team Networks

    Science.gov (United States)

    2016-06-01

    team processes, such as identifying motifs of dynamic communication exchanges which goes well beyond simple dyadic and triadic configurations; as well...new metrics and ways to formulate team processes, such as identifying motifs of dynamic communication exchanges which goes well beyond simple dyadic ...sensing, communication , information, and decision networks - Darryl Ahner (AFIT: Air Force Inst Tech) Panel Session: Mathematical Models of

  16. Ability Dispersion and Team Performance

    DEFF Research Database (Denmark)

    Hoogendoorn, Sander; Parker, Simon C.; Van Praag, Mirjam

    What is the effect of dispersed levels of cognitive ability of members of a (business) team on their team's performance? This paper reports the results of a field experiment in which 573 students in 49 (student) teams start up and manage real companies under identical circumstances for one year. We...... ensured exogenous variation in otherwise random team composition by assigning students to teams based on their measured cognitive abilities. Each team performs a variety of tasks, often involving complex decision making. The key result of the experiment is that the performance of business teams first...... increases and then decreases with ability dispersion. We seek to understand this finding by developing a model in which team members of different ability levels form sub- teams with other team members with similar ability levels to specialize in different productive tasks. Diversity spreads production over...

  17. DISCRIMINATIVE MODEL OF CERTAIN MOTOR INDICATORS OF FOOTBALL PLAYERS AS SELECTION CRITERIA FOR TEAM POSITION

    Directory of Open Access Journals (Sweden)

    Goran Vučković

    2013-07-01

    Full Text Available Well-designed and implemented selection is one of the important prerequisites for achieving the expected results in the modern competitive sport at all levels. The aim of this work was to determine how the selection was made for Serbian League players, on the basis of their certain motor parameters and the positions in the team. A sample of 25 senior players of a football team competing in the Serbian League is divided into four sub-samples, based on team positions. For assessment of motor characteristics following tests were used: long jump (LJ, Abalac test (AT; 10 seconds push-ups (PU, 30 seconds trunk bends (TB, 20 meter flying start running (20FSR, 20 meter high start running (20HSR, 50 meter high start running (50HSR and Cooper test (CT . Based on the obtained results it can be concluded that there are significant differences for variable 20FSR and variable CT (F = 3754, 9835, p = .027, .000, respectively. Three canonical discriminant functions were singled out, where the first explained even 84.6%, the second 14.5% and the third only 1% of the total variance, or in summary first two functions explained 99.0% of the variance. It can be concluded that the selected players, in terms of the position in the team, distinguished first by performing on the Cooper test, followed by the result of 20 meter flying start running, 20 meter high start running, 50 meter high start running, trunk bends, and finally by Abalac test, push-ups and long jump. Observed as a function of certain motor characteristics, it could be concluded that in the selection of players in terms of the playing position confidence level was 72.0% in general level, with the most reliable for goalkeepers (100%, midfielders (71.4% and defensive players (70.0%, while the smallest was at strikers (50%.

  18. Teaming up

    DEFF Research Database (Denmark)

    Warhuus, Jan; Günzel-Jensen, Franziska; Robinson, Sarah

    or pre-arranged at random. Therefore we investigate the importance of team formation in the entrepreneurial classroom and ask: (i) What are the underlying factors that influence outcomes of teamwork in student groups? (ii) How does team formation influence student perception of learning?, and (iii) Do...... different team formation strategies produce different teamwork and learning outcomes? Approach: We employed a multiple case study design comprising of 38 student teams to uncover potential links between team formation and student perception of learning. This research draws on data from three different....... A rigorous coding and inductive analysis process was undertaken. Pattern and relationship coding were used to reveal underlying factors, which helped to unveil important similarities and differences between student in different teams’ project progress and perception of learning. Results: When students...

  19. Training-Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network

    Science.gov (United States)

    Laloy, Eric; Hérault, Romain; Jacques, Diederik; Linde, Niklas

    2018-01-01

    Probabilistic inversion within a multiple-point statistics framework is often computationally prohibitive for high-dimensional problems. To partly address this, we introduce and evaluate a new training-image based inversion approach for complex geologic media. Our approach relies on a deep neural network of the generative adversarial network (GAN) type. After training using a training image (TI), our proposed spatial GAN (SGAN) can quickly generate 2-D and 3-D unconditional realizations. A key characteristic of our SGAN is that it defines a (very) low-dimensional parameterization, thereby allowing for efficient probabilistic inversion using state-of-the-art Markov chain Monte Carlo (MCMC) methods. In addition, available direct conditioning data can be incorporated within the inversion. Several 2-D and 3-D categorical TIs are first used to analyze the performance of our SGAN for unconditional geostatistical simulation. Training our deep network can take several hours. After training, realizations containing a few millions of pixels/voxels can be produced in a matter of seconds. This makes it especially useful for simulating many thousands of realizations (e.g., for MCMC inversion) as the relative cost of the training per realization diminishes with the considered number of realizations. Synthetic inversion case studies involving 2-D steady state flow and 3-D transient hydraulic tomography with and without direct conditioning data are used to illustrate the effectiveness of our proposed SGAN-based inversion. For the 2-D case, the inversion rapidly explores the posterior model distribution. For the 3-D case, the inversion recovers model realizations that fit the data close to the target level and visually resemble the true model well.

  20. The Influence of Cognitive Biases on Court Decisions. Contributions of Legal Psychology to the Adversary Criminal Proceedings

    Directory of Open Access Journals (Sweden)

    Paola Iliana De la Rosa Rodríguez

    2016-06-01

    Full Text Available The purpose of this paper is to disperse among the judiciary and society the psychological procedures involved in the decision-making process of judges since they are not only influenced by law but by previous ideas and values. It is worth questioning: in what extent their personal views and beliefs are the bases of verdicts? How can aversions and public opinion have an impact in the court decision? This paper analyzes and states the differences of the judicial role in the Mexican adversarial system and the inquisitorial models of justice. It also critiques the categories of the judicial officers and presents the circumstances that make an impact on judicial decisions, according to Psychology studies. It finally classifies cognitive biases and concludes that the more knowledge judges have about it, the more imparcial judgments will be.

  1. Leadership Team | Water Power | NREL

    Science.gov (United States)

    Leadership Team Leadership Team Learn more about the expertise and technical skills of the water Initiative and provides leadership in the focus areas of high-fidelity modeling, wind power plant controls

  2. PENGEMBANGAN MODEL PEMBELAJARAN MODIFIED STUDENT TEAMS ACHIEVEMENT DIVISION (MSTAD DALAM MENINGKATKAN HASIL BELAJAR SISWA PADA PEMBELAJARAN STRUKTUR ALJABAR

    Directory of Open Access Journals (Sweden)

    Kartika Sari

    2015-09-01

    Full Text Available The application of Students Team Achievement Division (STAD model in learning algebra structure indicated that the model is slow on detecting an error in understanding the material and it also need more time to completely delivered all of the course’s material. Therefore, in this study STAD was modified into Modified Students Teams Achievement Division (MSTAD. MSTAD development was carried out through three stages: developing new ideas based on previous research, developing results, and conducting trials. Trials  were performed  on  students taking  Algebra Structure 1  course in  2013/2014  and  2014/2015 academic year in one of the universities in Bali. Results showed that error in understanding the material was detected early, and every material was delivered on time. Statistical analysis also showed that class where MSTAD was applied achieve significantly better learning outcomes compared to STAD class and conventional class for 2013/2014 academic year (t= -9,339 < t0,05(41 = -2,702 as well as 2014/2015 academic year (Z0,5(1-0,01=0,4950 = 2,57.   ABSTRAK Penerapan   model   Student Team Achievement Division (STAD dalam pembelajaran Struktur Aljabar menunjukkan bahwa kesalahan dalam memahami materi lambat terdeteksi dan perlu tambahan waktu untuk menyelesaikan semua materi. Oleh karena itu, dalam penelitian ini dikembangkan modifikasi model STAD yaitu model pembelajaran Modified Student Teams Achievement Division (MSTAD.Pengembangan dilakukan melalui tiga tahap yaitu mengembangkan ide baru berdasarkan penelitian sebelumnya, mengem- bangkan hasil, dan melaksanakan uji coba. Uji coba dilakukan pada mahasiswa yang mengambil mata kuliah Struktur Aljabar 1 pada Tahun Ajaran 2013/2014 dan 2014/2015 di Jurusan Matematika salah satu Universitas di Bali. Hasil ujicoba menunjukkan bahwa kesalahan dalam memahami materi dapat terdeteksi lebih awal dan materi juga dapat diselesaikan tepat waktu. Hasil analisis statistik juga menunjukkan

  3. The adversarial system and the best interests of the child in divorce ...

    African Journals Online (AJOL)

    In this contribution it is argued that the adversarial system of litigation does not serve the best interests of children upon divorce. After a brief analysis of the system it is concluded that other less aggressive means of litigation should be considered underupon divorce. Collaborative Law is suggested as a means to bear in ...

  4. Managing Quality, Identity and Adversaries in Public Discourse with Machine Learning

    Science.gov (United States)

    Brennan, Michael

    2012-01-01

    Automation can mitigate issues when scaling and managing quality and identity in public discourse on the web. Discourse needs to be curated and filtered. Anonymous speech has to be supported while handling adversaries. Reliance on human curators or analysts does not scale and content can be missed. These scaling and management issues include the…

  5. Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks

    CSIR Research Space (South Africa)

    Schwegmann, Colin P

    2017-07-01

    Full Text Available such as Synthetic Aperture Radar imagery. To aid in the creation of improved machine learning-based ship detection and discrimination methods this paper applies a type of neural network known as an Information Maximizing Generative Adversarial Network. Generative...

  6. GalaxyGAN: Generative Adversarial Networks for recovery of galaxy features

    Science.gov (United States)

    Schawinski, Kevin; Zhang, Ce; Zhang, Hantian; Fowler, Lucas; Krishnan Santhanam, Gokula

    2017-02-01

    GalaxyGAN uses Generative Adversarial Networks to reliably recover features in images of galaxies. The package uses machine learning to train on higher quality data and learns to recover detailed features such as galaxy morphology by effectively building priors. This method opens up the possibility of recovering more information from existing and future imaging data.

  7. Dynamic Multi-team Antagonistic Games Model with Incomplete Information and Its Application to Multi-UAV

    Institute of Scientific and Technical Information of China (English)

    Wenzhong Zha; Jie Chen; Zhihong Peng

    2015-01-01

    At present, the studies on multi-team antagonistic games(MTAGs) are still in the early stage, because this complicated problem involves not only incompleteness of information and conflict of interests, but also selection of antagonistic targets.Therefore, based on the previous researches, a new framework is proposed in this paper, which is dynamic multi-team antagonistic games with incomplete information(DMTAGII) model.For this model, the corresponding concept of perfect Bayesian Nash equilibrium(PBNE) is established and the existence of PBNE is also proved. Besides, an interactive iteration algorithm is introduced according to the idea of the best response for solving the equilibrium. Then, the scenario of multiple unmanned aerial vehicles(UAVs) against multiple military targets is studied to solve the problems of tactical decision making based on the DMTAGII model. In the process of modeling, the specific expressions of strategy, status and payoff functions of the games are considered, and the strategy is coded to match the structure of genetic algorithm so that the PBNE can be solved by combining the genetic algorithm and the interactive iteration algorithm.Finally, through the simulation the feasibility and effectiveness of the DMTAGII model are verified. Meanwhile, the calculated equilibrium strategies are also found to be realistic, which can provide certain references for improving the autonomous ability of UAV systems.

  8. Effects of team emotional authenticity on virtual team performance

    Directory of Open Access Journals (Sweden)

    Catherine E Connelly

    2016-08-01

    Full Text Available Members of virtual teams lack many of the visual or auditory cues that are usually used as the basis for impressions about fellow team members. We focus on the effects of the impressions formed in this context, and use social exchange theory to understand how these impressions affect team performance. Our pilot study, using content analysis (n = 191 students, suggested that most individuals believe that they can assess others’ emotional authenticity in online settings by focusing on the content and tone of the messages. Our quantitative study examined the effects of these assessments. Structural equation modeling (SEM analysis (n = 81 student teams suggested that team-level trust and teamwork behaviors mediate the relationship between team emotional authenticity and team performance, and illuminate the importance of team emotional authenticity for team processes and outcomes.

  9. Peningkatan Keterampilan Proses Sains dan Hasil Belajar Fisika Siswa pada Model Pembelajaran Kooperatif Tipe Student Team Achievement Division

    Directory of Open Access Journals (Sweden)

    Happy Komike Sari

    2016-06-01

    Full Text Available Berdasarkan observasi di SMA Negeri 15 Bandarlampung, proses pelaksanaan pembelajaran fisika masih belum meraih hasil yang maksimal terutama pada siswa kelas X. Tujuan utama dari penelitian ini adalah untuk mendeskripsikan peningkatan Keterampilan Proses Sains (KPS dan hasil belajar fisika siswa menggunakan model pembelajaran kooperatif tipe Student Team Achievement Division (STAD. Penelitian ini merupakan jenis penelitian tindakan kelas yang dilaksanakan dalam tiga siklus pada 30 siswa di kelas X5 SMA Negeri 15 Bandarlampung. Setiap siklus terdiri dari perencanaan, tindakan dan pengamatan, dan refleksi. Data penelitian dikumpulkan dengan menggunakan lembar observasi untuk Keterampilan Proses Sains (KPS dan soal uraian untuk hasil belajar. Dari hasil penelitian menunjukkan bahwa model pembelajaran kooperatif tipe Student Team Achievement Division (STAD dapat meningkatkan Keterampilan Proses Sains (KPS dan hasil belajar fisika siswa dari siswa ke siswa. Based on observations in SMA NegerI 15 Bandarlampung, the implementation process of learning physics is still not achieve the maximum results, especially in class X. The main purpose of this study is to describe the increase of KPS and students’ learning achievement in learning physics using a cooperative learning model type Student Team Achievement Division (STAD. This classroom action research has been conducted in three cycles with 30 students of X5 Class of SMA Negeri 15 Bandarlampung. Every cycle consists of planning, action and observation, and reflection. The data were collected using observation sheet for KPS and essay test for learning achievement. Based on the results indicate that the cooperative learning model type STAD effectively could increase KPS and students’ learning achievement in learning physics from cycle to cycle

  10. Virtual Teams.

    Science.gov (United States)

    Geber, Beverly

    1995-01-01

    Virtual work teams scattered around the globe are becoming a feature of corporate workplaces. Although most people prefer face-to-face meetings and interactions, reality often requires telecommuting. (JOW)

  11. Team dynamics within quality improvement teams: a scoping review.

    Science.gov (United States)

    Rowland, Paula; Lising, Dean; Sinclair, Lynne; Baker, G Ross

    2018-03-31

    This scoping review examines what is known about the processes of quality improvement (QI) teams, particularly related to how teams impact outcomes. The aim is to provide research-informed guidance for QI leaders and to inform future research questions. Databases searched included: MedLINE, EMBASE, CINAHL, Web of Science and SCOPUS. Eligible publications were written in English, published between 1999 and 2016. Articles were included in the review if they examined processes of the QI team, were related to healthcare QI and were primary research studies. Studies were excluded if they had insufficient detail regarding QI team processes. Descriptive detail extracted included: authors, geographical region and health sector. The Integrated (Health Care) Team Effectiveness Model was used to synthesize findings of studies along domains of team effectiveness: task design, team process, psychosocial traits and organizational context. Over two stages of searching, 4813 citations were reviewed. Of those, 48 full-text articles are included in the synthesis. This review demonstrates that QI teams are not immune from dysfunction. Further, a dysfunctional QI team is not likely to influence practice. However, a functional QI team alone is unlikely to create change. A positive QI team dynamic may be a necessary but insufficient condition for implementing QI strategies. Areas for further research include: interactions between QI teams and clinical microsystems, understanding the role of interprofessional representation on QI teams and exploring interactions between QI team task, composition and process.

  12. Improving Care Teams' Functioning: Recommendations from Team Science.

    Science.gov (United States)

    Fiscella, Kevin; Mauksch, Larry; Bodenheimer, Thomas; Salas, Eduardo

    2017-07-01

    Team science has been applied to many sectors including health care. Yet there has been relatively little attention paid to the application of team science to developing and sustaining primary care teams. Application of team science to primary care requires adaptation of core team elements to different types of primary care teams. Six elements of teams are particularly relevant to primary care: practice conditions that support or hinder effective teamwork; team cognition, including shared understanding of team goals, roles, and how members will work together as a team; leadership and coaching, including mutual feedback among members that promotes teamwork and moves the team closer to achieving its goals; cooperation supported by an emotionally safe climate that supports expression and resolution of conflict and builds team trust and cohesion; coordination, including adoption of processes that optimize efficient performance of interdependent activities among team members; and communication, particularly regular, recursive team cycles involving planning, action, and debriefing. These six core elements are adapted to three prototypical primary care teams: teamlets, health coaching, and complex care coordination. Implementation of effective team-based models in primary care requires adaptation of core team science elements coupled with relevant, practical training and organizational support, including adequate time to train, plan, and debrief. Training should be based on assessment of needs and tasks and the use of simulations and feedback, and it should extend to live action. Teamlets represent a potential launch point for team development and diffusion of teamwork principles within primary care practices. Copyright © 2017 The Joint Commission. Published by Elsevier Inc. All rights reserved.

  13. On teams, teamwork, and team performance: discoveries and developments.

    Science.gov (United States)

    Salas, Eduardo; Cooke, Nancy J; Rosen, Michael A

    2008-06-01

    We highlight some of the key discoveries and developments in the area of team performance over the past 50 years, especially as reflected in the pages of Human Factors. Teams increasingly have become a way of life in many organizations, and research has kept up with the pace. We have characterized progress in the field in terms of eight discoveries and five challenges. Discoveries pertain to the importance of shared cognition, the measurement of shared cognition, advances in team training, the use of synthetic task environments for research, factors influencing team effectiveness, models of team effectiveness, a multidisciplinary perspective, and training and technological interventions designed to improve team effectiveness. Challenges that are faced in the coming decades include an increased emphasis on team cognition; reconfigurable, adaptive teams; multicultural influences; and the need for naturalistic study and better measurement. Work in human factors has contributed significantly to the science and practice of teams, teamwork, and team performance. Future work must keep pace with the increasing use of teams in organizations. The science of teams contributes to team effectiveness in the same way that the science of individual performance contributes to individual effectiveness.

  14. Monte Carlo Simulation Modeling of a Regional Stroke Team's Use of Telemedicine.

    Science.gov (United States)

    Torabi, Elham; Froehle, Craig M; Lindsell, Christopher J; Moomaw, Charles J; Kanter, Daniel; Kleindorfer, Dawn; Adeoye, Opeolu

    2016-01-01

    The objective of this study was to evaluate operational policies that may improve the proportion of eligible stroke patients within a population who would receive intravenous recombinant tissue plasminogen activator (rt-PA) and minimize time to treatment in eligible patients. In the context of a regional stroke team, the authors examined the effects of staff location and telemedicine deployment policies on the timeliness of thrombolytic treatment, and estimated the efficacy and cost-effectiveness of six different policies. A process map comprising the steps from recognition of stroke symptoms to intravenous administration of rt-PA was constructed using data from published literature combined with expert opinion. Six scenarios were investigated: telemedicine deployment (none, all, or outer-ring hospitals only) and staff location (center of region or anywhere in region). Physician locations were randomly generated based on their zip codes of residence and work. The outcomes of interest were onset-to-treatment (OTT) time, door-to-needle (DTN) time, and the proportion of patients treated within 3 hours. A Monte Carlo simulation of the stroke team care-delivery system was constructed based on a primary data set of 121 ischemic stroke patients who were potentially eligible for treatment with rt-PA. With the physician located randomly in the region, deploying telemedicine at all hospitals in the region (compared with partial or no telemedicine) would result in the highest rates of treatment within 3 hours (80% vs. 75% vs. 70%) and the shortest OTT (148 vs. 164 vs. 176 minutes) and DTN (45 vs. 61 vs. 73 minutes) times. However, locating the on-call physician centrally coupled with partial telemedicine deployment (five of the 17 hospitals) would be most cost-effective with comparable eligibility and treatment times. Given the potential societal benefits, continued efforts to deploy telemedicine appear warranted. Aligning the incentives between those who would have to fund

  15. Team player styles, team design variables and team work effectiveness in Egypt

    OpenAIRE

    El-Kot, Ghada Awed Hassan

    2001-01-01

    The literature has revealed few studies of management in Arab countries in general and particularly in Egypt. Many Egyptian organisations implemented the team concept a number of years ago, however, there do not appear to be any studies investicitaýt inc",D team work effectiveness in Egypt. The literature review and the findings of a pilot study emphasised the need for empirical research in team work in Egypt. Team effectiveness models are examined in order to identify the fact...

  16. Efektivitas Model Pembelajaran Kooperatif Tipe Student Team Achievement Division (STAD yang Dimodifikasi dengan Tutor Sebaya ditinjau dari Kecerdasan Majemuk Siswa.

    Directory of Open Access Journals (Sweden)

    Dwi Mei Heni

    2014-01-01

    Full Text Available The Effectiveness Model of Modified Student Team Achievement Division (STAD Type of Cooperative Learning with Peer tutoring Viewed from the Student’s Multiple Intelligences. This research was conducted to find out: Which learning model giving better student learning achievement, STAD or modified STAD with peer tutoring. The research population was all XI graders of Vocational School (SMK throughout Bojonegoro Regency in the school year of 2011/2012. The sampling used was stratified cluster random sampling and then chosen three schools namely SMKN 1 Bojonegoro, SMK Muhammadiyah 2 Sumberrejo, and SMK PGRI 3 Bojonegoro. Technique of analyzing data used was two-way anava 2x3 with different cell. In this research, it can be concluded that The student with the modified STAD type of cooperative learning with peer tutoring have better mathematics learning achievement than the students with STAD type of cooperative learning.   Keywords : Modified STAD with peer tutoring, Multiple Intelligences, Mathematics Learning Achievement

  17. Using a tag team of undergraduate researchers to construct an empirical model of auroral Poynting flux, from satellite data

    Science.gov (United States)

    Cosgrove, R. B.; Bahcivan, H.; Klein, A.; Ortega, J.; Alhassan, M.; Xu, Y.; Chen, S.; Van Welie, M.; Rehberger, J.; Musielak, S.; Cahill, N.

    2012-12-01

    Empirical models of the incident Poynting flux and particle kinetic energy flux, associated with auroral processes, have been constructed using data from the FAST satellite. The models were constructed over a three-year period by a tag-team of three groups of undergraduate researchers from Worcester Polytechnic Institute (WPI), working under the supervision of researchers at SRI International, a nonprofit research institute. Each group spent one academic quarter in residence at SRI, in fulfillment of WPI's Major Qualifying Project (MQP), required for graduation from the Department of Electrical and Computer Engineering. The MQP requires a written group report, which was used to transition from one group to the next. The student's research involved accessing and processing a data set of 20,000 satellite orbits, replete with flaws associated with instrument failures, which had to be removed. The data had to be transformed from the satellite reference frame into solar coordinates, projected to a reference altitude, sorted according to geophysical conditions, and etc. The group visits were chaperoned by WPI, and were jointly funded. Researchers at SRI were supported by a grant from the National Science Foundation, which was tailored to accommodate the undergraduate tag-team approach. The NSF grant extended one year beyond the student visits, with increased funding in the final year, permitting the researchers at SRI to exercise quality control, and to produce publications. It is expected that the empirical models will be used as inputs to large-scale general circulation models (GCMs), to specify the atmospheric heating rate at high altitudes.; Poynting Flux with northward IMF ; Poynting flux with southward IMF

  18. Bring a gun to a gunfight: armed adversaries and violence across nations.

    Science.gov (United States)

    Felson, Richard B; Berg, Mark T; Rogers, Meghan L

    2014-09-01

    We use homicide data and the International Crime Victimization Survey to examine the role of firearms in explaining cross-national variation in violence. We suggest that while gun violence begets gun violence, it inhibits the tendency to engage in violence without guns. We attribute the patterns to adversary effects-i.e., the tendency of offenders to take into account the threat posed by their adversaries. Multi-level analyses of victimization data support the hypothesis that living in countries with high rates of gun violence lowers an individual's risk of an unarmed assault and assaults with less lethal weapons. Analyses of aggregate data show that homicide rates and gun violence rates load on a separate underlying factor than other types of violence. The results suggest that a country's homicide rate reflects, to a large extent, the tendency of its offenders to use firearms. Copyright © 2014 Elsevier Inc. All rights reserved.

  19. With God on our side: Religious primes reduce the envisioned physical formidability of a menacing adversary.

    Science.gov (United States)

    Holbrook, Colin; Fessler, Daniel M T; Pollack, Jeremy

    2016-01-01

    The imagined support of benevolent supernatural agents attenuates anxiety and risk perception. Here, we extend these findings to judgments of the threat posed by a potentially violent adversary. Conceptual representations of bodily size and strength summarize factors that determine the relative threat posed by foes. The proximity of allies moderates the envisioned physical formidability of adversaries, suggesting that cues of access to supernatural allies will reduce the envisioned physical formidability of a threatening target. Across two studies, subtle cues of both supernatural and earthly social support reduced the envisioned physical formidability of a violent criminal. These manipulations had no effect on the perceived likelihood of encountering non-conflictual physical danger, raising the possibility that imagined supernatural support leads participants to view themselves not as shielded from encountering perilous situations, but as protected should perils arise. Copyright © 2015 Elsevier B.V. All rights reserved.

  20. DIFFERENT DIMENSIONS OF TEAMS

    OpenAIRE

    Goparaju Purna SUDHAKAR

    2013-01-01

    Popularity of teams is growing in 21st Century. Organizations are getting their work done through different types of teams. Teams have proved that the collective performance is more than the sum of the individual performances. Thus, the teams have got different dimensions such as quantitative dimensions and qualitative dimensions. The Quantitative dimensions of teams such as team performance, team productivity, team innovation, team effectiveness, team efficiency, team decision making and tea...

  1. TEAM ORGANISERING

    DEFF Research Database (Denmark)

    Levisen, Vinie; Haugaard, Lena

    2004-01-01

    organisation som denne? Når teams i samtiden anses for at være en organisationsform, der fremmer organisatorisk læring, beror det på, at teamet antages at udgøre et ikke-hierarkisk arbejdsfællesskab, hvor erfaringer udveksles og problemer løses. Teamorganisering kan imidlertid udformes på mange forskellige...

  2. Material control study: a directed graph and fault tree procedure for adversary event set generation

    International Nuclear Information System (INIS)

    Lambert, H.E.; Lim, J.J.; Gilman, F.M.

    1978-01-01

    In work for the United States Nuclear Regulatory Commission, Lawrence Livermore Laboratory is developing an assessment procedure to evaluate the effectiveness of a potential nuclear facility licensee's material control (MC) system. The purpose of an MC system is to prevent the theft of special nuclear material such as plutonium and highly enriched uranium. The key in the assessment procedure is the generation and analysis of the adversary event sets by a directed graph and fault-tree methodology

  3. Code-Based Cryptography: New Security Solutions Against a Quantum Adversary

    OpenAIRE

    Sendrier , Nicolas; Tillich , Jean-Pierre

    2016-01-01

    International audience; Cryptography is one of the key tools for providing security in our quickly evolving technological society. An adversary with the ability to use a quantum computer would defeat most of the cryptographic solutions that are deployed today to secure our communications. We do not know when quantum computing will become available, but nevertheless, the cryptographic research community must get ready for it now. Code-based cryptography is among the few cryptographic technique...

  4. Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains

    OpenAIRE

    Sethi, Tegjyot Singh; Kantardzic, Mehmed

    2017-01-01

    While modern day web applications aim to create impact at the civilization level, they have become vulnerable to adversarial activity, where the next cyber-attack can take any shape and can originate from anywhere. The increasing scale and sophistication of attacks, has prompted the need for a data driven solution, with machine learning forming the core of many cybersecurity systems. Machine learning was not designed with security in mind, and the essential assumption of stationarity, requiri...

  5. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification

    OpenAIRE

    Li, Yi; Song, Lingxiao; Wu, Xiang; He, Ran; Tan, Tieniu

    2017-01-01

    Makeup is widely used to improve facial attractiveness and is well accepted by the public. However, different makeup styles will result in significant facial appearance changes. It remains a challenging problem to match makeup and non-makeup face images. This paper proposes a learning from generation approach for makeup-invariant face verification by introducing a bi-level adversarial network (BLAN). To alleviate the negative effects from makeup, we first generate non-makeup images from makeu...

  6. An improved parametrization and analysis of the EXP3++ algorithm for stochastic and adversarial bandits

    DEFF Research Database (Denmark)

    Seldin, Yevgeny; Lugosi, Gábor

    We present a new strategy for gap estimation in randomized algorithms for multiarmed bandits and combine it with the EXP3++ algorithm of Seldin and Slivkins (2014). In the stochastic regime the strategy reduces dependence of regret on a time horizon from $(ln t)^3$ to $(ln t)^2$ and eliminates an...... an additive factor of order $\\Delta e^{\\Delta^2}$, where $\\Delta$ is the minimal gap of a problem instance. In the adversarial regime regret guarantee remains unchanged....

  7. An improved parametrization and analysis of the EXP3++ algorithm for stochastic and adversarial bandits

    DEFF Research Database (Denmark)

    Seldin, Yevgeny; Lugosi, Gábor

    2017-01-01

    We present a new strategy for gap estimation in randomized algorithms for multiarmed bandits and combine it with the EXP3++ algorithm of Seldin and Slivkins (2014). In the stochastic regime the strategy reduces dependence of regret on a time horizon from $(ln t)^3$ to $(ln t)^2$ and eliminates...... an additive factor of order $\\Delta e^{\\Delta^2}$, where $\\Delta$ is the minimal gap of a problem instance. In the adversarial regime regret guarantee remains unchanged....

  8. Playing Multi-Action Adversarial Games: Online Evolutionary Planning versus Tree Search

    OpenAIRE

    Justesen, Niels; Mahlmann, Tobias; Risi, Sebastian; Togelius, Julian

    2017-01-01

    We address the problem of playing turn-based multi-action adversarial games, which include many strategy games with extremely high branching factors as players take multiple actions each turn. This leads to the breakdown of standard tree search methods, including Monte Carlo Tree Search (MCTS), as they become unable to reach a sufficient depth in the game tree. In this paper, we introduce Online Evolutionary Planning (OEP) to address this challenge, which searches for combinations of actions ...

  9. Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks

    OpenAIRE

    Yun, Kyongsik; Lu, Thomas; Chow, Edward

    2018-01-01

    Firefighters suffer a variety of life-threatening risks, including line-of-duty deaths, injuries, and exposures to hazardous substances. Support for reducing these risks is important. We built a partially occluded object reconstruction method on augmented reality glasses for first responders. We used a deep learning based on conditional generative adversarial networks to train associations between the various images of flammable and hazardous objects and their partially occluded counterparts....

  10. SEAPATH: A microcomputer code for evaluating physical security effectiveness using adversary sequence diagrams

    International Nuclear Information System (INIS)

    Darby, J.L.

    1986-01-01

    The Adversary Sequence Diagram (ASD) concept was developed by Sandia National Laboratories (SNL) to examine physical security system effectiveness. Sandia also developed a mainframe computer code, PANL, to analyze the ASD. The authors have developed a microcomputer code, SEAPATH, which also analyzes ASD's. The Authors are supporting SNL in software development of the SAVI code; SAVI utilizes the SEAPATH algorithm to identify and quantify paths

  11. Deep Convolutional Generative Adversarial Network for Procedural 3D Landscape Generation Based on DEM

    OpenAIRE

    Wulff-Jensen, Andreas; Rant, Niclas Nerup; Møller, Tobias Nordvig; Billeskov, Jonas Aksel

    2018-01-01

    This paper proposes a novel framework for improving procedural generation of 3D landscapes using machine learning. We utilized a Deep Convolutional Generative Adversarial Network (DC-GAN) to generate heightmaps. The network was trained on a dataset consisting of Digital Elevation Maps (DEM) of the alps. During map generation, the batch size and learning rate were optimized for the most efficient and satisfying map production. The diversity of the final output was tested against Perlin noise u...

  12. Cognitive Targeting: A Coercive Air Power Theory for Conventional Escalation Control Against Nuclear Armed Adversaries

    Science.gov (United States)

    2016-06-01

    strategic,” in the cognitive targeting paradigm , are those that directly disable - in the strategic audience’s mind – the attractiveness or...This study analyses the applicability of three operational targeting paradigms to coerce a nuclear-armed adversary in a regional crisis, while...principles and elements of war and understand the coercive ability of utility targeting (a capabilities-based targeting paradigm , CBTP), axiological

  13. Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner

    OpenAIRE

    Chen, Tseng-Hung; Liao, Yuan-Hong; Chuang, Ching-Yao; Hsu, Wan-Ting; Fu, Jianlong; Sun, Min

    2017-01-01

    Impressive image captioning results are achieved in domains with plenty of training image and sentence pairs (e.g., MSCOCO). However, transferring to a target domain with significant domain shifts but no paired training data (referred to as cross-domain image captioning) remains largely unexplored. We propose a novel adversarial training procedure to leverage unpaired data in the target domain. Two critic networks are introduced to guide the captioner, namely domain critic and multi-modal cri...

  14. Physics Learning using Inquiry-Student Team Achievement Division (ISTAD and Guided Inquiry Models Viewed by Students Achievement Motivation

    Directory of Open Access Journals (Sweden)

    S. H. Sulistijo

    2017-04-01

    Full Text Available This study aims to determine the differences in learning outcomes of between students that are given the Physics learning models of Inquiry-Student Team Achievement Division (ISTAD and guided inquiry, between students who have high achievement motivation and low achievement motivation. This study was an experimental study with a 2x2x2 factorial design. The study population was the students of class X of SMAN 1 Toroh Grobogan of academic year 2016/2017. Samples were obtained by cluster random sampling technique consists of two classes, class X IPA 3 is used as an experimental class using ISTAD model and class X IPA 4 as the control class using guided inquiry model. Data collection techniques using test techniques for learning outcomes, and technical questionnaire to obtain the data of students' achievement motivation. Analysis of data using two-way ANOVA. The results showed that: (1 there is a difference between the learning outcomes of students with the ISTAD Physics models and with the physics model of guided inquiry. (2 There are differences in learning outcomes between students who have high achievement motivation and low achievement motivation. (3 There is no interaction between ISTAD and guided inquiry Physics models learning and achievement motivation of students.

  15. Cooperation and punishment in an adversarial game: How defectors pave the way to a peaceful society

    Science.gov (United States)

    Short, M. B.; Brantingham, P. J.; D'Orsogna, M. R.

    2010-12-01

    The evolution of human cooperation has been the subject of much research, especially within the framework of evolutionary public goods games, where several mechanisms have been proposed to account for persistent cooperation. Yet, in addressing this issue, little attention has been given to games of a more adversarial nature, in which defecting players, rather than simply free riding, actively seek to harm others. Here, we develop an adversarial evolutionary game using the specific example of criminal activity, recasting the familiar public goods strategies of punishers, cooperators, and defectors in this light. We then introduce a strategy—the informant—with no clear analog in public goods games and show that individuals employing this strategy are a key to the emergence of systems where cooperation dominates. We also find that a defection-dominated regime may be transitioned to one that is cooperation-dominated by converting an optimal number of players into informants. We discuss these findings, the role of informants, and possible intervention strategies in extreme adversarial societies, such as those marred by wars and insurgencies.

  16. Incorporation of international virtual teams as a complementary component to the traditional educational model Incorporación de virtual teams internacionales como componente complementario al modelo educativo tradicional

    Directory of Open Access Journals (Sweden)

    Carlos Fernando Arbeláez

    2012-08-01

    Full Text Available The model of virtual teams in higher education is being increasingly recognized as a phenomenon of great value to students about learning environments in the real world (Hsieh, Jang, Hwang, & Chen, 2011. Meanwhile, today’s environment requires from educational institutions dedicated to instruction undergraduate and graduate students, a rapid evolution of their models of teaching in order to conform to the same speed with which all fields transform in knowledge. This paper discusses the inclusion of virtual teams in the top-level educational models, meaning that incorporation as an option applies to all educational institutions, and above all, to their learning traditional structures. In this sense, the document includes analysis of relevant academic literature and data collected through interviews, conducted at six higher education faculty, who work in virtual teams schemes globally.El modelo de virtual teams en la educación superior está siendo reconocido cada vez máscomo un fenómeno de gran valor que acerca a los estudiantes a ambientes de aprendizajeen el mundo real (Hsieh, Jang, Hwang, & Chen, 2011. Por su parte, el entorno de hoyexige a las instituciones educativas dedicadas a la formación profesional en pregrado y posgrado, una rápida evolución de sus modelos de enseñanza a fin de ajustarlos a la mismavelocidad con la que se transforman todos los campos relacionados con el conocimiento.Este documento analiza la inclusión de virtual teams en los modelos educativos denivel superior, entendiendo dicha incorporación como una opción aplicable a todas lasinstituciones educativas, y sobre todo, a sus estructuras tradicionales de aprendizaje.En ese sentido, el documento incluye análisis de publicaciones académicas relevantes ydatos recopilados a través de entrevistas en profundidad, realizadas a seis profesores deeducación superior, quienes trabajan en esquemas de virtual teams a nivel global.

  17. Epistemological Beliefs and Knowledge Sharing in Work Teams: A New Model and Research Questions

    Science.gov (United States)

    Weinberg, Frankie J.

    2015-01-01

    Purpose: The purpose of this paper is to present a knowledge-sharing model that explains individual members' motivation to share knowledge (knowledge donation and knowledge collection). Design/methodology/approach: The model is based on social-constructivist theories of epistemological beliefs, learning and distributed cognition, and is organized…

  18. Understanding and managing three-dimensional/four-dimensional model implementations at the project team level

    NARCIS (Netherlands)

    Hartmann, Timo; Levitt, R.

    2010-01-01

    This paper introduces an extant, theoretical, social-psychological model that explains the sense-making processes of project managers confronted with a new technology to improve our understanding of project-based innovation processes. The model represents the interlinked processes through which

  19. How to achieve public participation in nuclear waste decisions: Public relations or transparent adversary science

    International Nuclear Information System (INIS)

    Treichel, J.

    1999-01-01

    correctly, are in this case, merely tools being employed to co-opt or buy off the opposition and legitimize the process. It appears at this point that there are two choices: either the decision-makers can attempt to continue with the current program of forced siting, ignoring all citizen and scientific opposition and eventually leading to litigation; or a new program can be developed. Since the US nuclear waste programs have utilized or have been perceived as utilizing advocacy science, the country must add 'adversary science' to the national program. This is described as the providing of financial support for competing teams of experts to investigate, and to tell the public about, any hazards which the enthusiasts of a project may have failed to report, or even to see. If citizens were able to participate in the debate between scientists and experts, with differing opinions concerning the merits of a nuclear waste site or indeed, any controversial technology, they would feel represented. They would believe that the final decisions were made only after the program in question had withstood and overcome all criticism-rather than just ignored it. There is probably no chance that the current US nuclear waste program can succeed in light of the level of public opposition. It is therefore necessary to move to a policy that respects those who must pay the costs and live with its consequences

  20. How to achieve public participation in nuclear waste decisions: Public relations or transparent adversary science

    Energy Technology Data Exchange (ETDEWEB)

    Treichel, J. [Nevada Nuclear Waste Task Force, Las Vegas, NV (United States)

    1999-12-01

    applied correctly, are in this case, merely tools being employed to co-opt or buy off the opposition and legitimize the process. It appears at this point that there are two choices: either the decision-makers can attempt to continue with the current program of forced siting, ignoring all citizen and scientific opposition and eventually leading to litigation; or a new program can be developed. Since the US nuclear waste programs have utilized or have been perceived as utilizing advocacy science, the country must add 'adversary science' to the national program. This is described as the providing of financial support for competing teams of experts to investigate, and to tell the public about, any hazards which the enthusiasts of a project may have failed to report, or even to see. If citizens were able to participate in the debate between scientists and experts, with differing opinions concerning the merits of a nuclear waste site or indeed, any controversial technology, they would feel represented. They would believe that the final decisions were made only after the program in question had withstood and overcome all criticism-rather than just ignored it. There is probably no chance that the current US nuclear waste program can succeed in light of the level of public opposition. It is therefore necessary to move to a policy that respects those who must pay the costs and live with its consequences.

  1. Construction of an Early Risk Warning Model of Organizational Resilience: An Empirical Study Based on Samples of R&D Teams

    Directory of Open Access Journals (Sweden)

    Si-hua Chen

    2016-01-01

    Full Text Available Facing fierce competition, it is critical for organizations to keep advantages either actively or passively. Organizational resilience is the ability of an organization to anticipate, prepare for, respond to, and adapt to incremental change and sudden disruptions in order to survive and prosper. It is of particular importance for enterprises to apprehend the intensity of organizational resilience and thereby judge their abilities to withstand pressure. By conducting an exploratory factor analysis and a confirmatory factor analysis, this paper clarifies a five-factor model for organizational resilience of R&D teams. Moreover, based on it, this paper applies fuzzy integrated evaluation method to build an early risk warning model for organizational resilience of R&D teams. The application of the model to a company shows that the model can adequately evaluate the intensity of organizational resilience of R&D teams. The results are also supposed to contribute to applied early risk warning theory.

  2. FMEA team performance in health care: A qualitative analysis of team member perceptions.

    Science.gov (United States)

    Wetterneck, Tosha B; Hundt, Ann Schoofs; Carayon, Pascale

    2009-06-01

    : Failure mode and effects analysis (FMEA) is a commonly used prospective risk assessment approach in health care. Failure mode and effects analyses are time consuming and resource intensive, and team performance is crucial for FMEA success. We evaluate FMEA team members' perceptions of FMEA team performance to provide recommendations to improve the FMEA process in health care organizations. : Structured interviews and survey questionnaires were administered to team members of 2 FMEA teams at a Midwest Hospital to evaluate team member perceptions of FMEA team performance and factors influencing team performance. Interview transcripts underwent content analysis, and descriptive statistics were performed on questionnaire results to identify and quantify FMEA team performance. Theme-based nodes were categorized using the input-process-outcome model for team performance. : Twenty-eight interviews and questionnaires were completed by 24 team members. Four persons participated on both teams. There were significant differences between the 2 teams regarding perceptions of team functioning and overall team effectiveness that are explained by difference in team inputs and process (e.g., leadership/facilitation, team objectives, attendance of process owners). : Evaluation of team members' perceptions of team functioning produced useful insights that can be used to model future team functioning. Guidelines for FMEA team success are provided.

  3. Application of the emission inventory model TEAM: Uncertainties in dioxin emission estimates for central Europe

    NARCIS (Netherlands)

    Pulles, M.P.J.; Kok, H.; Quass, U.

    2006-01-01

    This study uses an improved emission inventory model to assess the uncertainties in emissions of dioxins and furans associated with both knowledge on the exact technologies and processes used, and with the uncertainties of both activity data and emission factors. The annual total emissions for the

  4. Validation of modeling team solution and matrix porosity of granitic rocks

    Czech Academy of Sciences Publication Activity Database

    Vaněček, M.; Hanuš, R.; Doležalová, L.; Michálková, J.; Rousová, P.; Sosna, K.; Křížová, H.; Záruba, J.; Navrátil, Tomáš; Nakládal, P.; Brož, M.; Rohovec, Jan; Polák, M.; Milický, M.

    2008-01-01

    Roč. 34, 4/6 (2008), s. 1343396-1343396 ISSN 0161-6951. [International Geological Congress /33./. 06.08.2008-14.08.2008, Oslo] R&D Projects: GA MPO 1H-PK/31 Institutional research plan: CEZ:AV0Z30130516 Keywords : radioactive waste * granite * hydrogeology * model ing * porosity Subject RIV: DD - Geochemistry

  5. CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks

    Science.gov (United States)

    Paganini, Michela; de Oliveira, Luke; Nachman, Benjamin

    2018-01-01

    The precise modeling of subatomic particle interactions and propagation through matter is paramount for the advancement of nuclear and particle physics searches and precision measurements. The most computationally expensive step in the simulation pipeline of a typical experiment at the Large Hadron Collider (LHC) is the detailed modeling of the full complexity of physics processes that govern the motion and evolution of particle showers inside calorimeters. We introduce CaloGAN, a new fast simulation technique based on generative adversarial networks (GANs). We apply these neural networks to the modeling of electromagnetic showers in a longitudinally segmented calorimeter and achieve speedup factors comparable to or better than existing full simulation techniques on CPU (100 ×-1000 × ) and even faster on GPU (up to ˜105× ). There are still challenges for achieving precision across the entire phase space, but our solution can reproduce a variety of geometric shower shape properties of photons, positrons, and charged pions. This represents a significant stepping stone toward a full neural network-based detector simulation that could save significant computing time and enable many analyses now and in the future.

  6. Overcoming obstacles to establish a multidisciplinary team approach to hepatobiliary diseases: a working model in a Caribbean setting.

    Science.gov (United States)

    Cawich, Shamir O; Johnson, Peter B; Shah, Sundeep; Roberts, Patrick; Arthurs, Milton; Murphy, Trevor; Bonadie, Kimon O; Crandon, Ivor W; Harding, Hyacinth E; Abu Hilal, Mohammed; Pearce, Neil W

    2014-01-01

    By providing a structured forum to exchange information and ideas, multidisciplinary team meetings improve working relationships, expedite investigations, promote evidence-based treatment, and ultimately improve clinical outcomes. This discursive paper reports the introduction of a multidisciplinary team approach to manage hepatobiliary diseases in Jamaica, focusing on the challenges encountered and the methods used to overcome these obstacles. Despite multiple challenges in resource-limited environments, a multidisciplinary team approach can be incorporated into clinical practice in developing nations. Policy makers should make it a priority to support clinical, operational, and governance aspects of the multidisciplinary teams.

  7. Cooperative Search by UAV Teams: A Model Predictive Approach Using Dynamic Graphs

    Science.gov (United States)

    2011-10-01

    Consequently , target estimation is a challenging problem and a rich field of study in itself. We refer the reader to [1] and [11] for a deeper analysis of...decentralized processing and control architecture. SLAMEM asset models accurately represent the Unicorn UAV platforms and other standard military platforms in...IMPLEMENTATION The CGBMPS algorithm has been successfully field-tested using both Unicorn [27] and Raven [20] UAV platforms. This section describes

  8. NASA GISS Climate Change Research Initiative: A Multidisciplinary Vertical Team Model for Improving STEM Education by Using NASA's Unique Capabilities.

    Science.gov (United States)

    Pearce, M. D.

    2017-12-01

    CCRI is a year-long STEM education program designed to bring together teams of NASA scientists, graduate, undergraduate and high school interns and high school STEM educators to become immersed in NASA research focused on atmospheric and climate changes in the 21st century. GISS climate research combines analysis of global datasets with global models of atmospheric, land surface, and oceanic processes to study climate change on Earth and other planetary atmospheres as a useful tool in assessing our general understanding of climate change. CCRI interns conduct research, gain knowledge in assigned research discipline, develop and present scientific presentations summarizing their research experience. Specifically, CCRI interns write a scientific research paper explaining basic ideas, research protocols, abstract, results, conclusion and experimental design. Prepare and present a professional presentation of their research project at NASA GISS, prepare and present a scientific poster of their research project at local and national research symposiums along with other federal agencies. CCRI Educators lead research teams under the direction of a NASA GISS scientist, conduct research, develop research based learning units and assist NASA scientists with the mentoring of interns. Educators create an Applied Research STEM Curriculum Unit Portfolio based on their research experience integrating NASA unique resources, tools and content into a teacher developed unit plan aligned with the State and NGSS standards. STEM Educators also Integrate and implement NASA unique units and content into their STEM courses during academic year, perform community education STEM engagement events, mentor interns in writing a research paper, oral research reporting, power point design and scientific poster design for presentation to local and national audiences. The CCRI program contributes to the Federal STEM Co-STEM initiatives by providing opportunities, NASA education resources and

  9. Eksperimentasi Model Pembelajaran Student Team Achievment Devisions (STAD Berbantuan Geogebra pada Materi Similaritas Ditinjau dari Gaya Belajar

    Directory of Open Access Journals (Sweden)

    Wawan wawan

    2017-07-01

    Full Text Available The objective of this research was to investigate the effect of Learning model of STAD geogebra viewed from learning style. This research used the quasi experimental research method with the factorial design of 2 × 3. The population was entirely the students 4thof Mathematics Education Program Ma’arif Institute of Metro Lampung in Academic Year 2015/2016. The samples of the research were taken by using the cluster random sampling technique. The size of the sample was 50 students consisted of 26 students in the first experimental class and 24 students in the control class. The instruments to gather the data of the research were test of learning achievement in mathematics and student learning styles questionnaire. The data was analyzed by using the two-way analysis of variance with unbalanced cells. The conclusionsof thisresearchwere as follows. (1 The cooperative learning model of STAD Geogebra type resulted in a better learning achievement in mathematics than the Powerpoint-assisted direct learning model. (2 Students with visual learning style have the same achievement with students with auditory learning styles. Students with auditory learning style have the same achievement with students with kinesthetic learning styles. Students with visual learning styles have a better academic achievement than students with kinesthetic learning styles. (3 Difference in achievement of each learning method was not consistent with their respective learning styles and differences between individual learning style also was not consistent in each learning method Keywords: geogebra, power point, Student Team Achievment Devisions (STAD

  10. Workflow standardization of a novel team care model to improve chronic care: a quasi-experimental study.

    Science.gov (United States)

    Panattoni, Laura; Hurlimann, Lily; Wilson, Caroline; Durbin, Meg; Tai-Seale, Ming

    2017-04-19

    Team-based chronic care models have not been widely adopted in community settings, partly due to their varying effectiveness in randomized control trials, implementation challenges, and concerns about physician acceptance. The Palo Alto Medical Foundation designed and implemented "Champion," a novel team-based model that includes new standard work (e.g. proactive patient outreach, pre-visit schedule grooming, depression screening, care planning, health coaching) to support patients' self-management of hypertension and diabetes. We investigated whether Champion improved clinical outcomes. We conducted a quasi-experimental study comparing the Champion clinic-level intervention (n = 38 physicians) with a usual care clinic (n = 37 physicians) in Northern California. The primary outcomes, blood pressure and glycohemoglobin (A1c), were analyzed using a piecewise linear growth curve model for patients exposed to a Champion physician visit (n = 3156) or usual care visit (n = 8034) in the two years prior and one year post implementation. Secondary outcomes were provider experience, compared at baseline and 12 months in both the intervention and usual care clinics using multi-level ordered logistic modeling, and electronic health record based fidelity measures. Compared to usual care, in the first 6 months after a Champion physician visit, diabetes patients aged 18-75 experienced an additional -1.13 mm Hg (95% CI: -2.23 to -0.04) decline in diastolic blood pressure and -0.47 (95% CI: -0.61 to -0.33) decline in A1c. There were no additional improvements in blood pressure or A1c 6 to 12 months post physician visit. At 12 months, Champion physicians reported improved experience with managing chronic care patients in 6 of 7 survey items (p work was uneven; depression screening was the most commonly documented element (85% of patients), while care plans were the least (30.8% of patients). Champion standard work improved glycemic control over the first 6

  11. Asteroid team

    International Nuclear Information System (INIS)

    Matson, D.L.

    1988-01-01

    The purpose of this task is to support asteroid research and the operation of an Asteroid Team within the Earth and Space Sciences Division at the Jet Propulsion Laboratory (JPL). The Asteroid Team carries out original research on asteroids in order to discover, better characterize and define asteroid properties. This information is needed for the planning and design of NASA asteroid flyby and rendezvous missions. The asteroid Team also provides scientific and technical advice to NASA and JPL on asteroid related programs. Work on asteroid classification continued and the discovery of two Earth-approaching M asteroids was published. In the asteroid photometry program researchers obtained N or Q photometry for more than 50 asteroids, including the two M-earth-crossers. Compositional analysis of infrared spectra (0.8 to 2.6 micrometer) of asteroids is continuing. Over the next year the work on asteroid classification and composition will continue with the analysis of the 60 reduced infrared spectra which we now have at hand. The radiometry program will continue with the reduction of the N and Q bandpass data for the 57 asteroids in order to obtain albedos and diameters. This year the emphasis will shift to IRAS follow-up observations; which includes objects not observed by IRAS and objects with poor or peculiar IRAS data. As in previous year, we plan to give top priority to any opportunities for observing near-Earth asteroids and the support (through radiometric lightcurve observations from the IRTF) of any stellar occultations by asteroids for which occultation observation expeditions are fielded. Support of preparing of IRAS data for publication and of D. Matson for his participation in the NASA Planetary Astronomy Management and Operations Working Group will continue

  12. Asteroid team

    Science.gov (United States)

    Matson, D. L.

    1988-01-01

    The purpose of this task is to support asteroid research and the operation of an Asteroid Team within the Earth and Space Sciences Division at the Jet Propulsion Laboratory (JPL). The Asteroid Team carries out original research on asteroids in order to discover, better characterize and define asteroid properties. This information is needed for the planning and design of NASA asteroid flyby and rendezvous missions. The asteroid Team also provides scientific and technical advice to NASA and JPL on asteroid related programs. Work on asteroid classification continued and the discovery of two Earth-approaching M asteroids was published. In the asteroid photometry program researchers obtained N or Q photometry for more than 50 asteroids, including the two M-earth-crossers. Compositional analysis of infrared spectra (0.8 to 2.6 micrometer) of asteroids is continuing. Over the next year the work on asteroid classification and composition will continue with the analysis of the 60 reduced infrared spectra which we now have at hand. The radiometry program will continue with the reduction of the N and Q bandpass data for the 57 asteroids in order to obtain albedos and diameters. This year the emphasis will shift to IRAS follow-up observations; which includes objects not observed by IRAS and objects with poor or peculiar IRAS data. As in previous year, we plan to give top priority to any opportunities for observing near-Earth asteroids and the support (through radiometric lightcurve observations from the IRTF) of any stellar occultations by asteroids for which occultation observation expeditions are fielded. Support of preparing of IRAS data for publication and of D. Matson for his participation in the NASA Planetary Astronomy Management and Operations Working Group will continue.

  13. EFFECT OF INTERPROFESSIONAL EDUCATION MODEL TO TEAM WORK AND COLLABORATION ATTITUDES OF NURSING STUDENTS IN THE INTENSIVE CARE UNIT OF HOSPITAL

    Directory of Open Access Journals (Sweden)

    Eny Kusmiran

    2017-02-01

    Full Text Available Background: International policy recommends Interprofesional Education (IPE to improve the practice of interprofessional In an effort to improve the practice of professional nurses, the IPE is the strategy of forming professional conduct of nurses in team work and collaboration between other health professionals, especially doctors in critical care. Objective: to identify the effect of IPE model of team work and collaboration of the attitudes of nursing students in an intensive care unit of Hospital. Methods: This study was conducted with The quasi-experimental design. The number of 30 subjects (15 intervention and 15 control group by random sampling. The intervention consisted of 1 pretest 2 the provision of material interprofessional education modules on subjects of critical nursing for 2 weeks, 2 posttest. Paired t tests were used to determine the effects of interprofessional Education. Independence t-test were used to determine the difference effect of interprofessional Education. The instrument used was The Attitudes towards interprofessional Health Care Teams Scales to measure the attitude of teamwork and Interprofesional Collaboration Scales to measure the attitude of collaboration. Results: There were differences rates of team work and collaboration attitudes of nurses before and after on intervention group. There werenot differences rates of team work and collaboration attitudes of nurses before and after on control group. There were differences scores of the attitude of team work and collaboration between the intervention and control groups. Conclusions and Recommendations: Giving IPE modules for nurses are commonly regarded to be an essential strategy for improving team work and collaboration attitudes on nurses student at intensive care unit of hospital. Keyword: Interprofessional Education, team work, collaboration, nurses student.

  14. Protecting Privacy in Shared Photos via Adversarial Examples Based Stealth

    OpenAIRE

    Liu, Yujia; Zhang, Weiming; Yu, Nenghai

    2017-01-01

    Online image sharing in social platforms can lead to undesired privacy disclosure. For example, some enterprises may detect these large volumes of uploaded images to do users’ in-depth preference analysis for commercial purposes. And their technology might be today’s most powerful learning model, deep neural network (DNN). To just elude these automatic DNN detectors without affecting visual quality of human eyes, we design and implement a novel Stealth algorithm, which makes the automatic det...

  15. ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

    OpenAIRE

    Giuffrida, Mario Valerio; Scharr, Hanno; Tsaftaris, Sotirios A

    2017-01-01

    In recent years, there has been an increasing interest in image-based plant phenotyping, applying state-of-the-art machine learning approaches to tackle challenging problems, such as leaf segmentation (a multi-instance problem) and counting. Most of these algorithms need labelled data to learn a model for the task at hand. Despite the recent release of a few plant phenotyping datasets, large annotated plant image datasets for the purpose of training deep learning algorithms are lacking. One c...

  16. Collective and decentralized management model in public hospitals: perspective of the nursing team.

    Science.gov (United States)

    Bernardes, Andrea; Cecilio, Luiz Carlos de Oliveira; Evora, Yolanda Dora Martinez; Gabriel, Carmen Silvia; Carvalho, Mariana Bernardes de

    2011-01-01

    This research aims to present the implementation of the collective and decentralized management model in functional units of a public hospital in the city of Ribeirão Preto, state of São Paulo, according to the view of the nursing staff and the health technical assistant. This historical and organizational case study used qualitative thematic content analysis proposed by Bardin for data analysis. The institution started the decentralization of its administrative structure in 1999, through collective management, which permitted several internal improvements, with positive repercussion for the care delivered to users. The top-down implementation of the process seems to have jeopardized workers adherence, although collective management has intensified communication and the sharing of power and decision. The study shows that there is still much work to be done to concretize this innovative management proposal, despite the advances regarding the quality of care.

  17. Athletes Off the Field: A Model for Team Building and Leadership Development through Service Learning. Linking Learning with Life.

    Science.gov (United States)

    Haughey, Laurie

    This booklet provides step-by-step guidelines for developing a leadership-through-service-learning component for a school athletic team. It is based on a program called LIFE LINE (Leaders in Football and Education) founded in 1996 as a peer leadership group that would increase team unity and success both on and off the field. The guide summarizes…

  18. The Learning Process of Supervisees Who Engage in the Reflecting Team Model within Group Supervision: A Grounded Theory Inquiry

    Science.gov (United States)

    Pender, Rebecca Lynn

    2012-01-01

    In recent years, counselor educators have begun to incorporate the use of the reflecting team process with the training of counselors. Specifically, the reflecting team has been used in didactic courses (Cox, 2003; Landis & Young, 1994; Harrawood, Wilde & Parmanand, 2011) and in supervision (Cox, 1997; Prest, Darden, & Keller, 1990;…

  19. Hyperbrain features of team mental models within a juggling paradigm: a proof of concept

    Directory of Open Access Journals (Sweden)

    Edson Filho

    2016-09-01

    Full Text Available Background Research on cooperative behavior and the social brain exists, but little research has focused on real-time motor cooperative behavior and its neural correlates. In this proof of concept study, we explored the conceptual notion of shared and complementary mental models through EEG mapping of two brains performing a real-world interactive motor task of increasing difficulty. We used the recently introduced participative “juggling paradigm,” and collected neuro-physiological and psycho-social data. We were interested in analyzing the between-brains coupling during a dyadic juggling task, and in exploring the relationship between the motor task execution, the jugglers’skill level and the task difficulty. We also investigated how this relationship could be mirrored in the coupled functional organization of the interacting brains. Methods To capture the neural schemas underlying the notion of shared and complementary mental models, we examined the functional connectivity patterns and hyperbrain features of a juggling dyad involved in cooperative motor tasks of increasing difficulty. Jugglers’ cortical activity was measured using two synchronized 32-channel EEG systems during dyadic juggling performed with 3, 4, 5 and 6 balls. Individual and hyperbrain functional connections were quantified through coherence maps calculated across all electrode pairs in the theta and alpha bands (4–8 and 8–12 Hz. Graph metrics were used to typify the global topology and efficiency of the functional networks for the four difficulty levels in the theta and alpha bands. Results Results indicated that, as task difficulty increased, the cortical functional organization of the more skilled juggler became progressively more segregated in both frequency bands, with a small-world organization in the theta band during easier tasks, indicative of a flow-like state in line with the neural efficiency hypothesis. Conversely, more integrated functional patterns

  20. Improving patient handover between teams using a business improvement model: PDSA cycle.

    Science.gov (United States)

    Luther, Vishal; Hammersley, Daniel; Chekairi, Ahmed

    2014-01-01

    Medical admission units are continuously under pressure to move patients off the unit to outlying medical wards and allow for new admissions. In a typical district general hospital, doctors working in these medical wards reported that, on average, three patients each week arrived from the medical admission unit before any handover was received, and a further two patients arrived without any handover at all. A quality improvement project was therefore conducted using a 'Plan, Do, Study, Act' cycle model for improvement to address this issue. P - Plan: as there was no framework to support doctors with handover, a series of standard handover procedures were designed. D - Do: the procedures were disseminated to all staff, and championed by key stakeholders, including the clinical director and matron of the medical admission unit. S - STUDY: Measurements were repeated 3 months later and showed no change in the primary end points. A - ACT: The post take ward round sheet was redesigned, creating a checkbox for a medical admission unit doctor to document that handover had occurred. Nursing staff were prohibited from moving the patient off the ward until this had been completed. This later evolved into a separate handover sheet. Six months later, a repeat study revealed that only one patient each week was arriving before or without a verbal handover. Using a 'Plan, Do, Study, Act' business improvement tool helped to improve patient care.

  1. Evaluating late detection capability against diverse insider adversaries

    International Nuclear Information System (INIS)

    Sicherman, A.

    1987-01-01

    The threat of theft or diversion of special nuclear material (SNM) by insiders is a key concern for safeguards planners. Different types of employees having varying degrees of access to both SNM and safeguards systems pose a difficult challenge for theft detection. Safeguards planners rely on physical security, material control, and accountability to provide detection of a theft attempt. When detection occurs too late to prevent a theft, it is called a late detection or late alarm. Activities or events that many provide late detection usually belong to material control and accountability (MC ampersand A) activities. A model has been developed for evaluating the probability of late detection as a function of time elapsed since the theft. Late detection capability is beneficial if it is timely enough to improve the ability to determine the cause of an alarm, speed recovery of SNM, prevent an incorrect response to a threat demand, or promote assurance that no theft has occurred in the absence of an alarm. The model provides insight into the effectiveness of late detection safeguards components in place and helps to identify areas where the MC ampersand A can be most effectively improved

  2. Team Training through Communications Control

    Science.gov (United States)

    1982-02-01

    training * operational environment * team training research issues * training approach * team communications * models of operator beharior e...on the market soon, it certainly would be investigated carefully for its applicability to the team training problem. ce A text-to-speech voice...generation system. Votrax has recently marketed such a device, and others may soon follow suit. ’ d. A speech replay system designed to produce speech from

  3. Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes.

    Science.gov (United States)

    Buzaev, Igor Vyacheslavovich; Plechev, Vladimir Vyacheslavovich; Nikolaeva, Irina Evgenievna; Galimova, Rezida Maratovna

    2016-09-01

    The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibility to use an artificial intelligence algorithm or a neural network model in decision-making system so as to avoid possible mistakes and to remind the doctors to review tactics once more in selected cases. aLYNX system includes: registry with significant factors, decisions and results; machine learning process based on this registry data; the use of the machine learning results as the adviser. We show a possibility to build a computer adviser with a neural network model for making a choice between coronary aortic bypass surgery (CABG) and percutaneous coronary intervention (PCI) in order to achieve a higher 5-year survival rate in patients with angina based on the experience of 5107 patients. The neural network was trained by 4679 patients who achieved 5-year survival. Among them, 2390 patients underwent PCI and 2289 CABG. After training, the correlation coefficient ( r ) of the network was 0.74 for training, 0.67 for validation, 0.71 for test and 0.73 for total. Simulation of the neural network function has been performed after training in the two groups of patients with known 5-year outcome. The disagreement rate was significantly higher in the dead patient group than that in the survivor group between neural network model and heart team [16.8% (787/4679) vs. 20.3% (87/428), P  = 0.065)]. The study shows the possibility to build a computer adviser with a neural network model for making a choice between CABG and PCI in order to achieve a higher 5-year survival rate in patients with angina.

  4. Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes

    Directory of Open Access Journals (Sweden)

    Igor Vyacheslavovich Buzaev

    2016-09-01

    Full Text Available Objective: The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibility to use an artificial intelligence algorithm or a neural network model in decision-making system so as to avoid possible mistakes and to remind the doctors to review tactics once more in selected cases. Method: aLYNX system includes: registry with significant factors, decisions and results; machine learning process based on this registry data; the use of the machine learning results as the adviser. We show a possibility to build a computer adviser with a neural network model for making a choice between coronary aortic bypass surgery (CABG and percutaneous coronary intervention (PCI in order to achieve a higher 5-year survival rate in patients with angina based on the experience of 5107 patients. Results: The neural network was trained by 4679 patients who achieved 5-year survival. Among them, 2390 patients underwent PCI and 2289 CABG. After training, the correlation coefficient (r of the network was 0.74 for training, 0.67 for validation, 0.71 for test and 0.73 for total. Simulation of the neural network function has been performed after training in the two groups of patients with known 5-year outcome. The disagreement rate was significantly higher in the dead patient group than that in the survivor group between neural network model and heart team [16.8% (787/4679 vs. 20.3% (87/428, P = 0.065]. Conclusion: The study shows the possibility to build a computer adviser with a neural network model for making a choice between CABG and PCI in order to achieve a higher 5-year survival rate in patients with angina. Keywords: Coronary artery bypass grafting, Percutaneous coronary intervention, Artificial intelligence, Decision making

  5. SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation.

    Science.gov (United States)

    Xue, Yuan; Xu, Tao; Zhang, Han; Long, L Rodney; Huang, Xiaolei

    2018-05-03

    Inspired by classic Generative Adversarial Networks (GANs), we propose a novel end-to-end adversarial neural network, called SegAN, for the task of medical image segmentation. Since image segmentation requires dense, pixel-level labeling, the single scalar real/fake output of a classic GAN's discriminator may be ineffective in producing stable and sufficient gradient feedback to the networks. Instead, we use a fully convolutional neural network as the segmentor to generate segmentation label maps, and propose a novel adversarial critic network with a multi-scale L 1 loss function to force the critic and segmentor to learn both global and local features that capture long- and short-range spatial relationships between pixels. In our SegAN framework, the segmentor and critic networks are trained in an alternating fashion in a min-max game: The critic is trained by maximizing a multi-scale loss function, while the segmentor is trained with only gradients passed along by the critic, with the aim to minimize the multi-scale loss function. We show that such a SegAN framework is more effective and stable for the segmentation task, and it leads to better performance than the state-of-the-art U-net segmentation method. We tested our SegAN method using datasets from the MICCAI BRATS brain tumor segmentation challenge. Extensive experimental results demonstrate the effectiveness of the proposed SegAN with multi-scale loss: on BRATS 2013 SegAN gives performance comparable to the state-of-the-art for whole tumor and tumor core segmentation while achieves better precision and sensitivity for Gd-enhance tumor core segmentation; on BRATS 2015 SegAN achieves better performance than the state-of-the-art in both dice score and precision.

  6. The Relationship between Creative Personality Composition, Innovative Team Climate, and Team Innovativeness: An Input-Process-Output Perspective

    Science.gov (United States)

    Mathisen, Gro Ellen; Martinsen, Oyvind; Einarsen, Stale

    2008-01-01

    This study investigates the relationship between creative personality composition, innovative team climate, and team innovation based on an input-process-output model. We measured personality with the Creative Person Profile, team climate with the Team Climate Inventory, and team innovation through team-member and supervisor reports of team…

  7. A Conceptual Framework for Team Social Capital as Basis for Organizational Team Synergy

    OpenAIRE

    Raluca ZOLTAN

    2012-01-01

    The purpose of this paper is to outline a conceptual framework of team social capital as a basis for reaching organizational team synergy. The dimensions of team social capital and the basic conditions required for organizational team synergy enable the extension of current model of team social capital by including of other variables. Today’s managers must consider these variables since the team tends to be the basic structural unit of current organizations and synergy, the key to achieving h...

  8. We will be champions: Leaders' confidence in 'us' inspires team members' team confidence and performance.

    Science.gov (United States)

    Fransen, K; Steffens, N K; Haslam, S A; Vanbeselaere, N; Vande Broek, G; Boen, F

    2016-12-01

    The present research examines the impact of leaders' confidence in their team on the team confidence and performance of their teammates. In an experiment involving newly assembled soccer teams, we manipulated the team confidence expressed by the team leader (high vs neutral vs low) and assessed team members' responses and performance as they unfolded during a competition (i.e., in a first baseline session and a second test session). Our findings pointed to team confidence contagion such that when the leader had expressed high (rather than neutral or low) team confidence, team members perceived their team to be more efficacious and were more confident in the team's ability to win. Moreover, leaders' team confidence affected individual and team performance such that teams led by a highly confident leader performed better than those led by a less confident leader. Finally, the results supported a hypothesized mediational model in showing that the effect of leaders' confidence on team members' team confidence and performance was mediated by the leader's perceived identity leadership and members' team identification. In conclusion, the findings of this experiment suggest that leaders' team confidence can enhance members' team confidence and performance by fostering members' identification with the team. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  9. When Teams Go Crazy

    DEFF Research Database (Denmark)

    Kuhrmann, Marco; Münch, Jürgen

    2016-01-01

    Software development consists to a large extend of human-based processes with continuously increasing demands regarding interdisciplinary team work. Understanding the dynamics of software teams can be seen as highly important to successful project execution. Hence, for future project managers......, knowledge about non-technical processes in teams is significant. In this paper, we present a course unit that provides an environment in which students can learn and experience the impact of group dynamics on project performance and quality. The course unit uses the Tuckman model as theoretical framework......, and borrows from controlled experiments to organize and implement its practical parts in which students then experience the effects of, e.g., time pressure, resource bottlenecks, staff turnover, loss of key personnel, and other stress factors. We provide a detailed design of the course unit to allow...

  10. Travelling with football teams

    African Journals Online (AJOL)

    ultimately on the performance of the teams on the playing field and not so much ... However, travelling with a football team presents the team physician .... physician to determine the nutritional ..... diarrhoea in elite athletes: an audit of one team.

  11. Review Team Focused Modeling Analysis of Radial Collector Well Operation on the Hypersaline Groundwater Plume beneath the Turkey Point Site near Homestead, Florida

    International Nuclear Information System (INIS)

    Oostrom, Martinus; Vail, Lance W.

    2016-01-01

    Researchers at Pacific Northwest National Laboratory served as members of a U.S. Nuclear Regulatory Commission review team for the Florida Power & Light Company's application for two combined construction permits and operating licenses (combined licenses or COLs) for two proposed new reactor units-Turkey Point Units 6 and 7. The review team evaluated the environmental impacts of the proposed action based on the October 29, 2014 revision of the COL application, including the Environmental Report, responses to requests for additional information, and supplemental information. As part of this effort, team members tasked with assessing the environmental effects of proposed construction and operation of Units 6 and 7 at the Turkey Point site reviewed two separate modeling studies that analyzed the interaction between surface water and groundwater that would be altered by the operation of radial collector wells (RCWs) at the site. To further confirm their understanding of the groundwater hydrodynamics and to consider whether certain actions, proposed after the two earlier modeling studies were completed, would alter the earlier conclusions documented by the review team in their draft environmental impact statement (EIS; NRC 2015), a third modeling analysis was performed. The third modeling analysis is discussed in this report.

  12. Review Team Focused Modeling Analysis of Radial Collector Well Operation on the Hypersaline Groundwater Plume beneath the Turkey Point Site near Homestead, Florida

    Energy Technology Data Exchange (ETDEWEB)

    Oostrom, Martinus [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Vail, Lance W. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2016-08-01

    Researchers at Pacific Northwest National Laboratory served as members of a U.S. Nuclear Regulatory Commission review team for the Florida Power & Light Company’s application for two combined construction permits and operating licenses (combined licenses or COLs) for two proposed new reactor units—Turkey Point Units 6 and 7. The review team evaluated the environmental impacts of the proposed action based on the October 29, 2014 revision of the COL application, including the Environmental Report, responses to requests for additional information, and supplemental information. As part of this effort, team members tasked with assessing the environmental effects of proposed construction and operation of Units 6 and 7 at the Turkey Point site reviewed two separate modeling studies that analyzed the interaction between surface water and groundwater that would be altered by the operation of radial collector wells (RCWs) at the site. To further confirm their understanding of the groundwater hydrodynamics and to consider whether certain actions, proposed after the two earlier modeling studies were completed, would alter the earlier conclusions documented by the review team in their draft environmental impact statement (EIS; NRC 2015), a third modeling analysis was performed. The third modeling analysis is discussed in this report.

  13. Career and Workforce Impacts of the NASA Planetary Science Summer School: TEAM X model 1999-2015

    Science.gov (United States)

    Lowes, Leslie L.; Budney, Charles; Mitchell, Karl; Wessen, Alice; JPL Education Office, JPL Team X

    2016-10-01

    Sponsored by NASA's Planetary Science Division, and managed by the Jet Propulsion Laboratory (JPL), the Planetary Science Summer School prepares the next generation of engineers and scientists to participate in future solar system exploration missions. PSSS utilizes JPL's emerging concurrent mission design "Team X" as mentors. With this model, participants learn the mission life cycle, roles of scientists and engineers in a mission environment, mission design interconnectedness and trade-offs, and the importance of teamwork. Applicants are sought who have a strong interest and experience in careers in planetary exploration, and who are science and engineering post-docs, recent PhDs, doctoral or graduate students, and faculty teaching such students. An overview of the program will be presented, along with results of a diversity study conducted in fall 2015 to assess the gender and ethnic diversity of participants since 1999. PSSS seeks to have a positive influence on participants' career choice and career progress, and to help feed the employment pipeline for NASA, aerospace, and related academia. Results will also be presented of an online search that located alumni in fall 2015 related to their current occupations (primarily through LinkedIn and university and corporate websites), as well as a 2015 survey of alumni.

  14. THE IMPLEMENTATION OF JOBSHEET-BASED STUDENT TEAMS ACHIEVEMENT DIVISION LEARNING MODEL TO IMPROVE STUDENTS LEARNING OUTCOMES

    Directory of Open Access Journals (Sweden)

    Kadek Dodi Permana

    2016-09-01

    Full Text Available This study aims to improve the Information and Communications Technology (ICT learning outcomes of the students in SMA N 2 Singaraja through the learning model of Job sheet-based Student Team Achievement Division (STAD. This is a classroom action research. The data analysis reveals that learning outcomes in cycle I gain a mean score of 80. 51 and a classical provisions of 15%. There are three students who pass with a minimum score of 85 in cycle I. From these categories, the students’ learning outcomes in the first cycle have not met the criterion of 85%. The mean score of cycle II is 88. 57 and the classical provisions is 90%. In the second cycle, there are 18 students who gain a minimum score of 85. Based on the success criterion, a research study is successful if the minimum completeness criterion reaches 85 and the minimum classical completeness criterion reaches 85%. From the categories, the students’ learning outcomes have been successfully improved since the percentage of classical completeness in the second cycle has reached its expected results.

  15. Multidisciplinary team functioning.

    Science.gov (United States)

    Kovitz, K E; Dougan, P; Riese, R; Brummitt, J R

    1984-01-01

    This paper advocates the need to move beyond interdisciplinary team composition as a minimum criterion for multidisciplinary functioning in child abuse treatment. Recent developments within the field reflect the practice of shared professional responsibility for detection, case management and treatment. Adherence to this particular model for intervention requires cooperative service planning and implementation as task related functions. Implicitly, this model also carries the potential to incorporate the supportive functioning essential to effective group process. However, explicit attention to the dynamics and process of small groups has been neglected in prescriptive accounts of multidisciplinary child abuse team organization. The present paper therefore focuses upon the maintenance and enhancement aspects of multidisciplinary group functioning. First, the development and philosophy of service for the Alberta Children's Hospital Child Abuse Program are reviewed. Second, composition of the team, it's mandate for service, and the population it serves are briefly described. Third, the conceptual framework within which the program functions is outlined. Strategies for effective group functioning are presented and the difficulties encountered with this model are highlighted. Finally, recommendations are offered for planning and implementing a multidisciplinary child abuse team and for maintaining its effective group functioning.

  16. Developing a parent-professional team leadership model in group work: work with families with children experiencing behavioral and emotional problems.

    Science.gov (United States)

    Ruffolo, Mary C; Kuhn, Mary T; Evans, Mary E

    2006-01-01

    Building on the respective strengths of parent-led and professional-led groups, a parent-professional team leadership model for group interventions was developed and evaluated for families of youths with emotional and behavioral problems. The model was developed based on feedback from 26 parents in focus group sessions and recommendations from mental health professionals in staff meetings. Evaluations of an implementation of the model in a support, empowerment, and education group intervention (S.E.E. group) have demonstrated the usefulness of this approach in work with families of children with behavioral and emotional problems. This article discusses the challenges of instituting the model in an S.E.E. group. It explores how parents and professionals build the team leadership model and the strengths of this approach in working with parents of youths with serious emotional disturbances.

  17. RETHINKING THE ROLE OF SMALL-GROUP COLLABORATORS AND ADVERSARIES IN THE LONDON KLEINIAN DEVELOPMENT (1914-1968).

    Science.gov (United States)

    Aguayo, Joseph; Regeczkey, Agnes

    2016-07-01

    The authors historically situate the London Kleinian development in terms of the small-group collaborations and adversaries that arose during the course of Melanie Klein's career. Some collaborations later became personally adversarial (e.g., those Klein had with Glover and Schmideberg); other adversarial relationships forever remained that way (with A. Freud); while still other long-term collaborations became theoretically contentious (such as with Winnicott and Heimann). After the Controversial Discussions in 1944, Klein marginalized one group of supporters (Heimann, Winnicott, and Riviere) in favor of another group (Rosenfeld, Segal, and Bion). After Klein's death in 1960, Bion maintained loyalty to Klein's ideas while quietly distancing his work from the London Klein group, immigrating to the United States in 1968. © 2016 The Psychoanalytic Quarterly, Inc.

  18. Team responsibility structure and team performance

    NARCIS (Netherlands)

    Doorewaard, J.A.C.M.; Hootegem, G. van; Huys, R.

    2002-01-01

    The purpose is to analyse the impact of team responsibility (the division of job regulation tasks between team leader and team members) on team performance. It bases an analysis on 36 case studies in The Netherlands which are known to have implemented team‐based work. The case studies were executed

  19. Translation-aware semantic segmentation via conditional least-square generative adversarial networks

    Science.gov (United States)

    Zhang, Mi; Hu, Xiangyun; Zhao, Like; Pang, Shiyan; Gong, Jinqi; Luo, Min

    2017-10-01

    Semantic segmentation has recently made rapid progress in the field of remote sensing and computer vision. However, many leading approaches cannot simultaneously translate label maps to possible source images with a limited number of training images. The core issue is insufficient adversarial information to interpret the inverse process and proper objective loss function to overcome the vanishing gradient problem. We propose the use of conditional least squares generative adversarial networks (CLS-GAN) to delineate visual objects and solve these problems. We trained the CLS-GAN network for semantic segmentation to discriminate dense prediction information either from training images or generative networks. We show that the optimal objective function of CLS-GAN is a special class of f-divergence and yields a generator that lies on the decision boundary of discriminator that reduces possible vanished gradient. We also demonstrate the effectiveness of the proposed architecture at translating images from label maps in the learning process. Experiments on a limited number of high resolution images, including close-range and remote sensing datasets, indicate that the proposed method leads to the improved semantic segmentation accuracy and can simultaneously generate high quality images from label maps.

  20. Adversarial Allegiance: The Devil is in the Evidence Details, Not Just on the Witness Stand

    Science.gov (United States)

    McAuliff, Bradley D.; Arter, Jeana L.

    2016-01-01

    This study examined the potential influence of adversarial allegiance on expert testimony in a simulated child sexual abuse case. A national sample of 100 witness suggestibility experts reviewed a police interview of an alleged 5 year-old female victim. Retaining party (prosecution, defense) and interview suggestibility (low, high) varied across experts. Experts were very willing to testify, but more so for the prosecution than the defense when interview suggestibility was low and vice versa when interview suggestibility was high. Experts' anticipated testimony focused more on pro-defense aspects of the police interview and child's memory overall (negativity bias), but favored retaining party only when interview suggestibility was low. Unlike prosecution-retained experts who shifted their focus from pro-defense aspects of the case in the high suggestibility interview to pro-prosecution aspects in the low suggestibility interview, defense experts did not. Blind raters' perceptions of expert focus mirrored those findings. Despite an initial bias toward retaining party, experts' evaluations of child victim accuracy and interview quality were lower in the high versus low interview suggestibility condition only. Our data suggest that adversarial allegiance exists, that it can (but not always) influence how experts process evidence, and that it may be more likely in cases involving evidence that is not blatantly flawed. Defense experts may evaluate this type of evidence more negatively than prosecution experts due to negativity bias and positive testing strategies associated with confirmation bias. PMID:27243362

  1. The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology.

    Science.gov (United States)

    Kadurin, Artur; Aliper, Alexander; Kazennov, Andrey; Mamoshina, Polina; Vanhaelen, Quentin; Khrabrov, Kuzma; Zhavoronkov, Alex

    2017-02-14

    Recent advances in deep learning and specifically in generative adversarial networks have demonstrated surprising results in generating new images and videos upon request even using natural language as input. In this paper we present the first application of generative adversarial autoencoders (AAE) for generating novel molecular fingerprints with a defined set of parameters. We developed a 7-layer AAE architecture with the latent middle layer serving as a discriminator. As an input and output the AAE uses a vector of binary fingerprints and concentration of the molecule. In the latent layer we also introduced a neuron responsible for growth inhibition percentage, which when negative indicates the reduction in the number of tumor cells after the treatment. To train the AAE we used the NCI-60 cell line assay data for 6252 compounds profiled on MCF-7 cell line. The output of the AAE was used to screen 72 million compounds in PubChem and select candidate molecules with potential anti-cancer properties. This approach is a proof of concept of an artificially-intelligent drug discovery engine, where AAEs are used to generate new molecular fingerprints with the desired molecular properties.

  2. Adversarial allegiance: The devil is in the evidence details, not just on the witness stand.

    Science.gov (United States)

    McAuliff, Bradley D; Arter, Jeana L

    2016-10-01

    This study examined the potential influence of adversarial allegiance on expert testimony in a simulated child sexual abuse case. A national sample of 100 witness suggestibility experts reviewed a police interview of an alleged 5-year-old female victim. Retaining party (prosecution, defense) and interview suggestibility (low, high) varied across experts. Experts were very willing to testify, but more so for the prosecution than the defense when interview suggestibility was low and vice versa when interview suggestibility was high. Experts' anticipated testimony focused more on prodefense aspects of the police interview and child's memory overall (negativity bias), but favored retaining party only when interview suggestibility was low. Prosecution-retained experts shifted their focus from prodefense aspects of the case in the high suggestibility interview to proprosecution aspects in the low suggestibility interview; defense experts did not. Blind raters' perceptions of expert focus mirrored those findings. Despite an initial bias toward retaining party, experts' evaluations of child victim accuracy and police interview quality were lower in the high versus low interview suggestibility condition only. Our data suggest that adversarial allegiance exists, that it can (but not always) influence how experts process evidence, and that it may be more likely in cases involving evidence that is not blatantly flawed. Defense experts may evaluate this type of evidence more negatively than prosecution experts because of negativity bias and positive testing strategies associated with confirmation bias. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  3. Are the advocates of nuclear power and the adversaries listening to each other?

    International Nuclear Information System (INIS)

    Bernard, Jean-Francois

    1989-01-01

    It's obvious that one cannot answer the question from the title with simple 'yes' or 'no'. If it seems that the nuclear advocates globaly, have the same point of view, and an homegeneous argumentation, it is not the same for the opponents to Nuclear Energy. We can classify these adversaries in 4 categories, according to the nature of their opposition: ideological, economical, political, that includes ideological, mystical. In reality, these 4 types of opposition are not equally represented in France. From 1974 to the present moment, the EDF, has tried to have a dialogue with them. Various resultswere achieved with the Ecologists, 'Economical opponents', 'political adversaries'. Theer was no dialogue with the 'mystical opponents', for a very simple reason 'Nuclear people' are the Devil himself and they did not wish to have anything to do with him. There can be no end to the discussion about the sex of angels. To conclude, it is believed that there has been a discussion in France. It did not lead to any sort of complete consensus, but there are some true positive results. Only one, the well-known opponent to nuclear energy, in the seventies, the President of 'The Friends of the Earth' he is, now, French 'Environment Vice-Minister' and he considers that, among the energy industries, the nuclear energy is, without doubt, the less polluting

  4. Are the advocates of nuclear power and the adversaries listening to each other?

    Energy Technology Data Exchange (ETDEWEB)

    Bernard, Jean-Francois [Electricite de France, Engineering and Construction Division, Sites-Environment-Information Branch, 22-30, avenue de Wagram, 75008, Paris (France)

    1989-07-01

    It's obvious that one cannot answer the question from the title with simple 'yes' or 'no'. If it seems that the nuclear advocates globaly, have the same point of view, and an homegeneous argumentation, it is not the same for the opponents to Nuclear Energy. We can classify these adversaries in 4 categories, according to the nature of their opposition: ideological, economical, political, that includes ideological, mystical. In reality, these 4 types of opposition are not equally represented in France. From 1974 to the present moment, the EDF, has tried to have a dialogue with them. Various resultswere achieved with the Ecologists, 'Economical opponents', 'political adversaries'. Theer was no dialogue with the 'mystical opponents', for a very simple reason 'Nuclear people' are the Devil himself and they did not wish to have anything to do with him. There can be no end to the discussion about the sex of angels. To conclude, it is believed that there has been a discussion in France. It did not lead to any sort of complete consensus, but there are some true positive results. Only one, the well-known opponent to nuclear energy, in the seventies, the President of 'The Friends of the Earth' he is, now, French 'Environment Vice-Minister' and he considers that, among the energy industries, the nuclear energy is, without doubt, the less polluting.

  5. Undermining Adversaries

    DEFF Research Database (Denmark)

    He, Kai

    2012-01-01

    balancing refers to a state's strategies or diplomatic efforts aiming to undermine a rival's power. By contrast, positive balancing means to strengthen a state's own power in world politics. I argue that a state's balancing strategies are shaped by the level of threat perception regarding its rival....... The higher the threat perception, the more likely it is for a state to choose positive balancing. The lower the threat perception, the more likely it is for a state to choose negative balancing. I suggest that the hegemon provides security as a public good to the international system in a unipolar world...... in which the relatively low-threat propensity of the system renders positive balancing strategies incompatible with state interests after the Cold War. Instead, states have employed various negative balancing strategies to undermine each other's power, especially when dealing with us primacy. China...

  6. Individual Learner and Team Modeling for Adaptive Training and Education in Support of the US Army Learning Model: Research Outline

    Science.gov (United States)

    2015-09-01

    system to include the learner, domain, and pedagogical models needed to deliver this training via an ITS. 4 3.1 Self-Regulated Learning and the US...elements and also to highlight their relationships : Adaptive Tutoring: also known as intelligent tutoring; tailored instructional methods to...asserts that through the use of case study examples, instruction can provide the pedagogical foundation for decision-making under uncertainty

  7. Implicit Communication in Novice and Expert Teams

    National Research Council Canada - National Science Library

    Swain, Kelly

    2003-01-01

    ... (military, sporting or business teams). This suggests that expert teams may be utilising shared mental models of both the roles of their teammates and how they should be working together in a group situation...

  8. Better team management--better team care?

    Science.gov (United States)

    Shelley, P; Powney, B

    1994-01-01

    Team building should not be a 'bolt-on' extra, it should be a well planned, integrated part of developing teams and assisting their leaders. When asked to facilitate team building by a group of NHS managers we developed a framework which enabled individual members of staff to become more effective in the way they communicated with each other, their teams and in turn within the organization. Facing the challenge posed by complex organizational changes, staff were able to use 3 training days to increase and develop their awareness of the principles of teamwork, better team management, and how a process of leadership and team building could help yield better patient care.

  9. Work team

    Directory of Open Access Journals (Sweden)

    RBE Editorial

    2016-06-01

    Full Text Available Work Team 2016 (Jan-Jul1. Editorial TeamChief-editorsBayardo Bapstista Torres, Instituto de Química (USP, BrasilEduardo Galembeck, Depto. Bioquímica, Instituto de Biologia, Universidade de Campinas (Unicamp, Brasil Co-editorsGabriel Gerber Hornink, Depto. Bioquímica, Instituto de Ciências Biomédicas, Universidade - Federal de Alfenas (Unifal-MG, BrasilVera Maria Treis Trindade, Departamento de Bioquímica, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul (UFRGS, Brasil Editorial BoardAdriana Cassina, Department of Biochemistry, Facultad de Medicina, Universidad de la República, UruguayAngel Herráez, Departamento de Bioquímica y Biología molecular, Universidad de Alcalá de Henares, Madrid, SpainAndré Amaral Gonçalves Bianco, Universidade Federal de São Paulo (Unifesp, BrasilDenise Vaz de Macedo, Depto. Bioquímica, Instituto de Biologia, Universidade Estadual de Campinas (Unicamp, BrasilEneida de Paula, Depto. Bioquímica, Instituto de Biologia, Universidade Estadual de Campinas (Unicamp, BrasilJose Antonio Martinez Oyanedel, Universidad de Concepción, ChileJosep Maria Fernández Novell, Department of Molecular Biology & Biochemistry, Universitat de Barcelona, SpainLeila Maria Beltramini, Instituto de Física de São Carlos, Universidade Estadual de São Paulo (USP, BrasilManuel João da Costa, Escola de Ciências da Saúde, Universidade do Minho, PortugalMaria Lucia Bianconi, Instituto de Bioquímica Médica, Universidade Federal do Rio de Janeiro (UFRJ, BrasilMaría Noel Alvarez, Department of Biochemistry, Facultad de Medicina, Universidad de la República, UruguayMiguel Ángel Medina Torres, Department of Molecular Biology & Biochemistry Faculty of Sciences University of Málaga, SpainNelma Regina Segnini Bossolan, Instituto de Física de São Carlos, Universidade de São Paulo (USP, BrasilPaulo De Avila Junior, Centro de Ciências Naturais e Humanas (CCNH Universidade Federal do ABC (UFABC

  10. Initiating and utilizing shared leadership in teams: The role of leader humility, team proactive personality, and team performance capability.

    Science.gov (United States)

    Chiu, Chia-Yen Chad; Owens, Bradley P; Tesluk, Paul E

    2016-12-01

    The present study was designed to produce novel theoretical insight regarding how leader humility and team member characteristics foster the conditions that promote shared leadership and when shared leadership relates to team effectiveness. Drawing on social information processing theory and adaptive leadership theory, we propose that leader humility facilitates shared leadership by promoting leadership-claiming and leadership-granting interactions among team members. We also apply dominance complementary theory to propose that team proactive personality strengthens the impact of leader humility on shared leadership. Finally, we predict that shared leadership will be most strongly related to team performance when team members have high levels of task-related competence. Using a sample composed of 62 Taiwanese professional work teams, we find support for our proposed hypothesized model. The theoretical and practical implications of these results for team leadership, humility, team composition, and shared leadership are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  11. Professionals’ views on interprofessional stroke team functioning

    Directory of Open Access Journals (Sweden)

    Jane Murray Cramm

    2011-07-01

    Full Text Available Introduction: The quality of integrated stroke care depends on smooth team functioning but professionals may not always work well together. Professionals' perspectives on the factors that influence stroke team functioning remain largely unexamined. Understanding their experiences is critical to indentifying measures to improve team functioning. The aim of this study was to identify the factors that contributed to the success of interprofessional stroke teams as perceived by team members. Methods: We distributed questionnaires to professionals within 34 integrated stroke care teams at various health care facilities in 9 Dutch regions. 558 respondents (response rate: 39% completed the questionnaire. To account for the hierarchical structure of the study design we fitted a hierarchical random-effects model. The hierarchical structure comprised 558 stroke team members (level 1 nested in 34 teams (level 2. Results: Analyses showed that personal development, social well-being, interprofessional education, communication, and role understanding significantly contributed to stroke team functioning. Team-level constructs affecting interprofessional stroke team functioning were communication and role understanding. No significant relationships were found with individual-level personal autonomy and team-level cohesion. Discussion and conclusion: Our findings suggest that interventions to improve team members' social well-being, communication, and role understanding will improve teams' performance. To further advance interprofessional team functioning, healthcare organizations should pay attention to developing professionals' interpersonal skills and interprofessional education.       

  12. Professionals’ views on interprofessional stroke team functioning

    Directory of Open Access Journals (Sweden)

    Jane Murray Cramm

    2011-07-01

    Full Text Available Introduction: The quality of integrated stroke care depends on smooth team functioning but professionals may not always work well together. Professionals' perspectives on the factors that influence stroke team functioning remain largely unexamined. Understanding their experiences is critical to indentifying measures to improve team functioning. The aim of this study was to identify the factors that contributed to the success of interprofessional stroke teams as perceived by team members.  Methods: We distributed questionnaires to professionals within 34 integrated stroke care teams at various health care facilities in 9 Dutch regions. 558 respondents (response rate: 39% completed the questionnaire. To account for the hierarchical structure of the study design we fitted a hierarchical random-effects model. The hierarchical structure comprised 558 stroke team members (level 1 nested in 34 teams (level 2.  Results: Analyses showed that personal development, social well-being, interprofessional education, communication, and role understanding significantly contributed to stroke team functioning. Team-level constructs affecting interprofessional stroke team functioning were communication and role understanding. No significant relationships were found with individual-level personal autonomy and team-level cohesion.  Discussion and conclusion: Our findings suggest that interventions to improve team members' social well-being, communication, and role understanding will improve teams' performance. To further advance interprofessional team functioning, healthcare organizations should pay attention to developing professionals' interpersonal skills and interprofessional education.        

  13. Team Orientations, Interpersonal Relations, and Team Success

    Science.gov (United States)

    Nixon, Howard L.

    1976-01-01

    Contradictions in post research on the concepts of "cohesiveness" and team success seem to arise from the ways in which cohesiveness is measured and the nature of the teams investigated in each study. (MB)

  14. Team cohesion and team success in sport.

    Science.gov (United States)

    Carron, Albert V; Bray, Steven R; Eys, Mark A

    2002-02-01

    The main aim of this study was to examine the relationship between task cohesiveness and team success in elite teams using composite team estimates of cohesion. A secondary aim was to determine statistically the consistency (i.e. 'groupness') present in team members' perceptions of cohesion. Elite university basketball teams (n = 18) and club soccer teams (n = 9) were assessed for cohesiveness and winning percentages. Measures were recorded towards the end of each team's competitive season. Our results indicate that cohesiveness is a shared perception, thereby providing statistical support for the use of composite team scores. Further analyses indicated a strong relationship between cohesion and success (r = 0.55-0.67). Further research using multi-level statistical techniques is recommended.

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

    Science.gov (United States)

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

    2014-02-01

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

  16. Imagery Integration Team

    Science.gov (United States)

    Calhoun, Tracy; Melendrez, Dave

    2014-01-01

    -of-a-kind imagery assets and skill sets, such as ground-based fixed and tracking cameras, crew-in the-loop imaging applications, and the integration of custom or commercial-off-the-shelf sensors onboard spacecraft. For spaceflight applications, the Integration 2 Team leverages modeling, analytical, and scientific resources along with decades of experience and lessons learned to assist the customer in optimizing engineering imagery acquisition and management schemes for any phase of flight - launch, ascent, on-orbit, descent, and landing. The Integration 2 Team guides the customer in using NASA's world-class imagery analysis teams, which specialize in overcoming inherent challenges associated with spaceflight imagery sets. Precision motion tracking, two-dimensional (2D) and three-dimensional (3D) photogrammetry, image stabilization, 3D modeling of imagery data, lighting assessment, and vehicle fiducial marking assessments are available. During a mission or test, the Integration 2 Team provides oversight of imagery operations to verify fulfillment of imagery requirements. The team oversees the collection, screening, and analysis of imagery to build a set of imagery findings. It integrates and corroborates the imagery findings with other mission data sets, generating executive summaries to support time-critical mission decisions.

  17. Threat Assessment Teams: A Model for Coordinating the Institutional Response and Reducing Legal Liability when College Students Threaten Suicide

    Science.gov (United States)

    Penven, James C.; Janosik, Steven M.

    2012-01-01

    Increasing numbers of college students with mental health issues are enrolling in college. If these students threaten suicide they present serious legal issues for college officials. Lack of communication and coordination of a response to these students exacerbates the issue. Threat assessment teams can serve as mechanisms to coordinate the…

  18. SWAT (Student Weekend Arborist Team): A Model for Land Grant Institutions and Cooperative Extension Systems to Conduct Street Tree Inventories

    Science.gov (United States)

    Cowett, F.D.; Bassuk, N.L.

    2012-01-01

    SWAT (Student Weekend Arborist Team) is a program affiliated with Cornell University and Extension founded to conduct street tree inventories in New York State communities with 10,000 residents or fewer, a group of communities underserved in community forestry planning. Between 2002 and 2010, SWAT conducted 40 inventories, and data from these…

  19. Validation of the Consumer Values versus Perceived Product Attributes Model Measuring the Purchase of Athletic Team Merchandise

    Science.gov (United States)

    Lee, Donghun; Byon, Kevin K.; Schoenstedt, Linda; Johns, Gary; Bussell, Leigh Ann; Choi, Hwansuk

    2012-01-01

    Various consumer values and perceived product attributes trigger consumptive behaviors of athletic team merchandise (Lee, Trail, Kwon, & Anderson, 2011). Likewise, using a principal component analysis technique on a student sample, a measurement scale was proposed that consisted of nine factors affecting the purchase of athletic team…

  20. Peningkatan Hasil Belajar Fisika Melalui Model Pembelajaran Kooperatif Tipe Team Assisted Individualization pada Siswa Kelas VII.D SMP Negeri 2 Bangkala Kabupaten Jeneponto

    Directory of Open Access Journals (Sweden)

    Suhardi Suhardi

    2015-12-01

    Full Text Available Abstract This research is a class action (Classroom Action Research, which aims to improve learning outcomes Physics VII.D grade students of SMP Negeri 2 Bangkala through Cooperative Learning Model Team Assisted Individualization. The subjects were VII.D grade students of SMP Negeri 2 Bangkala on odd semester 2013/2014 academic year consisting of 36 students. Research conducted two cycles consisting of four activities, namely: planning, action, observation and reflection. In the first cycle was conducted over four sessions and the second cycle was conducted over four sessions. Data collection was done by studying the results of the final tests of learning at the end of the first cycle and the end of the second cycle. The collected data were analyzed quantitatively and qualitatively. The results of the quantitative analysis of physics learning outcome data indicate that the number of students classified as learning completed the first cycle were completed only 22 0rang 61.11% and in the second cycle up to 25 people who completed 69.44%. The results of the qualitative analysis showed an increase in activity of students during the learning process through a model of Cooperative Learning Physics Team Assisted Individualization type. Based on these results it can be concluded that the physics learning through cooperative learning model of Type Team Assisted Individualization can improve student learning outcomes. Keywords: Results Learning, Cooperative Learning Model Team Assisted Individualization, Qualitative, and Student Activities Abstrak Penelitian ini adalah penelitian tindakan kelas (Classroom Action Research yang bertujuan meningkatkan hasil belajar Fisika siswa kelas VII.D SMP Negeri 2 Bangkala melalui Model Pembelajaran Kooperatif Tipe Team Assisted Individualization. Subjek penelitian ini adalah siswa kelas VII.D SMP Negeri 2 Bangkala pada semester ganjil tahun pelajaran 2013/2014 yang terdiri dari 36 siswa. Penelitian dilaksanakan dua

  1. MEASURING PRODUCTIVITY OF SOFTWARE DEVELOPMENT TEAMS

    Directory of Open Access Journals (Sweden)

    Goparaju Purna Sudhakar

    2012-02-01

    Full Text Available This paper gives an exhaustive literature review of the techniques and models available tomeasure the productivity of software development teams. Definition of productivity, measuringindividual programmer’s productivity, and measuring software development team productivity arediscussed. Based on the literature review it was found that software productivity measurement canbe done using SLOC (Source Lines of Code, function points, use case points, object points, andfeature points. Secondary research findings indicate that the team size, response time, taskcomplexity, team climate and team cohesion have an impact on software development teamproductivity. List of factors affecting the software development team productivity are studied andreviewed.

  2. PERBEDAAN PENGARUH MODEL STUDENT TEAMS ACHIEVEMENT DIVISION (STAD DAN NUMBERED HEADS TOGETHER (NHT TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS V SD

    Directory of Open Access Journals (Sweden)

    Nur Halimah

    2017-09-01

    Full Text Available This study aimed to determine the significance of the influence differences between the use of Student Teams Achievement Division (STAD model and Numbered Heads Together (NHT model on the 5th grade mathematics learning outcomes in SD Negeri Sumberejo 01 and SD Negeri Sumberejo 02. The type of research used was a quasi experiment with an unpredictable Pretest Posttest design. The subjects of the study were students of grade 5 in SD N Sumberejo 01 as experimental class 1 and grade V SD N of Sumberejo 02 as experiment class 2. The variables in this study consisted of independent variables, namely Student Teams Achievement Division (STAD model, Numbered Heads Together (NHT model and dependent variable was learning outcome. Data collection was done by test technique. The data analysis technique used T test with Independent T test Sample applied to posttest value. Result of t test of posttest value of experiment group 1 and experiment  group 2 showed that the value was in significance 0,019 ˂ 0,05, because the significance ˂ 0,05 hence Ho rejected and Ha accepted with conclusion there was significant difference between the model of STAD and NHT to the result of learning of mathematics at student grade 5 in SD Negeri Sumberejo 01 and SD Sumberejo 02. The significant difference in mathematics learning outcomes was supported by the difference average of two research samples, where the average of learning outcomes on the application of STAD learning model was 77.89, While the average of learning outcomes on the application of NHT learning model was 85.53. This meant that the learning treatment with NHT model has different significant impact compared to the STAD learning model on mathematics learning outcomes of grade 5 SD Sumberejo 01 and SD N Sumberejo 02 Semester II of 2016/2017academic year. Kata Kunci : Student Teams Achievement Division (STAD, Numbered Heads Together (NHT, Learning Outcomes, Mathematics, 5th grade primary school students

  3. Playing Multi-Action Adversarial Games: Online Evolutionary Planning versus Tree Search

    DEFF Research Database (Denmark)

    Justesen, Niels; Mahlmann, Tobias; Risi, Sebastian

    2017-01-01

    We address the problem of playing turn-based multi-action adversarial games, which include many strategy games with extremely high branching factors as players take multiple actions each turn. This leads to the breakdown of standard tree search methods, including Monte Carlo Tree Search (MCTS......), as they become unable to reach a sufficient depth in the game tree. In this paper, we introduce Online Evolutionary Planning (OEP) to address this challenge, which searches for combinations of actions to perform during a single turn guided by a fitness function that evaluates the quality of a particular state....... We compare OEP to different MCTS variations that constrain the exploration to deal with the high branching factor in the turn-based multi-action game Hero Academy. While the constrained MCTS variations outperform the vanilla MCTS implementation by a large margin, OEP is able to search the space...

  4. Institutionalizing dissent: a proposal for an adversarial system of pharmaceutical research.

    Science.gov (United States)

    Biddle, Justin

    2013-12-01

    There are serious problems with the way in which pharmaceutical research is currently practiced, many of which can be traced to the influence of commercial interests on research. One of the most significant is inadequate dissent, or organized skepticism. In order to ameliorate this problem, I develop a proposal that I call the "Adversarial Proceedings for the Evaluation of Pharmaceuticals," to be instituted within a regulatory agency such as the Food and Drug Administration for the evaluation of controversial new drugs and controversial drugs already in the market. This proposal is an organizational one based upon the "science court" proposal by Arthur Kantrowitz in the 1960s and 1970s. The primary benefit of this system is its ability to institutionalize dissent, thereby ensuring that one set of interests does not dominate all others.

  5. Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network.

    Science.gov (United States)

    Yi, Xin; Babyn, Paul

    2018-02-20

    Low-dose computed tomography (LDCT) has offered tremendous benefits in radiation-restricted applications, but the quantum noise as resulted by the insufficient number of photons could potentially harm the diagnostic performance. Current image-based denoising methods tend to produce a blur effect on the final reconstructed results especially in high noise levels. In this paper, a deep learning-based approach was proposed to mitigate this problem. An adversarially trained network and a sharpness detection network were trained to guide the training process. Experiments on both simulated and real dataset show that the results of the proposed method have very small resolution loss and achieves better performance relative to state-of-the-art methods both quantitatively and visually.

  6. Your cancer care team

    Science.gov (United States)

    ... gov/ency/patientinstructions/000929.htm Your cancer care team To use the sharing features on this page, ... help your body heal. Working with Your Care Team Each member of your care team plays an ...

  7. Defending Tor from Network Adversaries: A Case Study of Network Path Prediction

    Directory of Open Access Journals (Sweden)

    Juen Joshua

    2015-06-01

    Full Text Available The Tor anonymity network has been shown vulnerable to traffic analysis attacks by autonomous systems (ASes and Internet exchanges (IXes, which can observe different overlay hops belonging to the same circuit. We evaluate whether network path prediction techniques provide an accurate picture of the threat from such adversaries, and whether they can be used to avoid this threat. We perform a measurement study by collecting 17.2 million traceroutes from Tor relays to destinations around the Internet. We compare the collected traceroute paths to predicted paths using state-of-the-art path inference techniques. We find that traceroutes present a very different picture, with the set of ASes seen in the traceroute path differing from the predicted path 80% of the time. We also consider the impact that prediction errors have on Tor security. Using a simulator to choose paths over a week, our traceroutes indicate a user has nearly a 100% chance of at least one compromise in a week with 11% of total paths containing an AS compromise and less than 1% containing an IX compromise when using default Tor selection. We find modifying the path selection to choose paths predicted to be safe lowers total paths with an AS compromise to 0.14% but still presents a 5–11% chance of at least one compromise in a week while making 5% of paths fail, with 96% of failures due to false positives in path inferences. Our results demonstrate more measurement and better path prediction is necessary to mitigate the risk of AS and IX adversaries to Tor.

  8. Reconstruction of three-dimensional porous media using generative adversarial neural networks

    Science.gov (United States)

    Mosser, Lukas; Dubrule, Olivier; Blunt, Martin J.

    2017-10-01

    To evaluate the variability of multiphase flow properties of porous media at the pore scale, it is necessary to acquire a number of representative samples of the void-solid structure. While modern x-ray computer tomography has made it possible to extract three-dimensional images of the pore space, assessment of the variability in the inherent material properties is often experimentally not feasible. We present a method to reconstruct the solid-void structure of porous media by applying a generative neural network that allows an implicit description of the probability distribution represented by three-dimensional image data sets. We show, by using an adversarial learning approach for neural networks, that this method of unsupervised learning is able to generate representative samples of porous media that honor their statistics. We successfully compare measures of pore morphology, such as the Euler characteristic, two-point statistics, and directional single-phase permeability of synthetic realizations with the calculated properties of a bead pack, Berea sandstone, and Ketton limestone. Results show that generative adversarial networks can be used to reconstruct high-resolution three-dimensional images of porous media at different scales that are representative of the morphology of the images used to train the neural network. The fully convolutional nature of the trained neural network allows the generation of large samples while maintaining computational efficiency. Compared to classical stochastic methods of image reconstruction, the implicit representation of the learned data distribution can be stored and reused to generate multiple realizations of the pore structure very rapidly.

  9. Hydrology team

    Science.gov (United States)

    Ragan, R.

    1982-01-01

    General problems faced by hydrologists when using historical records, real time data, statistical analysis, and system simulation in providing quantitative information on the temporal and spatial distribution of water are related to the limitations of these data. Major problem areas requiring multispectral imaging-based research to improve hydrology models involve: evapotranspiration rates and soil moisture dynamics for large areas; the three dimensional characteristics of bodies of water; flooding in wetlands; snow water equivalents; runoff and sediment yield from ungaged watersheds; storm rainfall; fluorescence and polarization of water and its contained substances; discriminating between sediment and chlorophyll in water; role of barrier island dynamics in coastal zone processes; the relationship between remotely measured surface roughness and hydraulic roughness of land surfaces and stream networks; and modeling the runoff process.

  10. The SAVI vulnerability assessment model

    International Nuclear Information System (INIS)

    Winblad, A.E.

    1987-01-01

    The assessment model ''Systematic Analysis of Vulnerability to Intrusion'' (SAVI) presented in this report is a PC-based path analysis model. It can provide estimates of protection system effectiveness (or vulnerability) against a spectrum of outsider threats including collusion with an insider adversary. It calculates one measure of system effectiveness, the probability of interruption P(I), for all potential adversary paths. SAVI can perform both theft and sabotage vulnerability analyses. For theft, the analysis is based on the assumption that adversaries should be interrupted either before they can accomplish removal of the target material from its normal location or removal from the site boundary. For sabotage, the analysis is based on the assumption that adversaries should be interrupted before completion of their sabotage task

  11. Using team cognitive work analysis to reveal healthcare team interactions in a birthing unit

    OpenAIRE

    Ashoori, Maryam; Burns, Catherine M.; d'Entremont, Barbara; Momtahan, Kathryn

    2014-01-01

    Cognitive work analysis (CWA) as an analytical approach for examining complex sociotechnical systems has shown success in modelling the work of single operators. The CWA approach incorporates social and team interactions, but a more explicit analysis of team aspects can reveal more information for systems design. In this paper, Team CWA is explored to understand teamwork within a birthing unit at a hospital. Team CWA models are derived from theories and models of teamworkand leverage the exis...

  12. A Model to Evaluate the Effectiveness of Collaborative Online Learning Teams – Self-Disclosure and Social Exchange Theory Perspective

    Directory of Open Access Journals (Sweden)

    Ying-Chieh Liu

    2010-12-01

    Full Text Available Collaborative online learning teams (COLTs are teams that are comprised of groups of online students. Accompanying the popularity of online learning, both on campuses and as professional development within many industries, learning in groups has been attracting much attention. However, there is little research constructing intact frameworks to evaluate the effectiveness of COLTs. This study built a framework by incorporating six constructs: self-disclosure, social exchange, trust, cohesion, performance and satisfaction, and validated it by analyzing data from a five-week experiment. The results showed that social exchange had a significant impact on trust, but self-disclosure did not. Trust was significantly related to cohesion and cohesion was significantly related to performance and satisfaction. This study suggests that instructors should incorporate the number of students’ posts into parts of evaluation to facilitate self-disclosure, and to stop “social loafing” behaviors while encouraging social exchange activities.

  13. Optimal management of phenylketonuria: a centralized expert team is more successful than a decentralized model of care.

    Science.gov (United States)

    Camfield, Carol S; Joseph, Marissa; Hurley, Teresa; Campbell, Karen; Sanderson, Susan; Camfield, Peter R

    2004-07-01

    To compare phenylketonuria (PKU) management by a centralized, expert team in the Province of Nova Scotia (NS) with the decentralized approach in New Brunswick (NB). Retrospective chart review documented frequency of outpatient visits, phenylalanine (Phe) concentration, and medical formula use. Structured telephone interviews with the 8 regional NB dietitians (NB-D) documented their knowledge and support in PKU management. Patients with PKU (n=108; age, birth to 42 years) reside in NB (n=69) and NS (n=39). More were lost to contact in NB than in NS (9/69 vs 1/39) and more were completely off diet in NB than in NS (24/60 vs 1/38, P=.05). All 15 children 95% in NS. Mental handicap or borderline intelligence was common in both NB (44%) and NS (42%). All NB-D wished additional specialized medical, nursing, or social work assistance. PKU management appears to be more effective with an expert, coordinated team approach.

  14. Validating a Model of Team Collaboration at the North American Aerospace Defense Command Using Selected Transcripts from September 11, 2001

    Science.gov (United States)

    2008-06-01

    resources. When communications are more efficient, team performance benefits . Communication plays a critical role in a team’s ability to achieve...standard operating procedure (SOP) for NORAD/NEADS is classified and therefore not useful for this thesis. However, it would be of benefit for someone...1221 Speaker 13: Once you get the tanker you’ve bingo to Langley at 1830. COA 1222 Major N: Okay. They’re working tanker support from my

  15. Selection and performance of village health teams (VHTs) in Uganda: lessons from the natural helper model of health promotion

    OpenAIRE

    Turinawe, E.B.; Rwemisisi, J.T.; Musinguzi, L.K.; Groot, M.; Muhangi, D.; de Vries, D.H.; Mafigiri, D.K.; Pool, R.

    2015-01-01

    Background: Community health worker (CHW) programmes have received much attention since the 1978 Declaration of Alma-Ata, with many initiatives established in developing countries. However, CHW programmes often suffer high attrition once the initial enthusiasm of volunteers wanes. In 2002, Uganda began implementing a national CHW programme called the village health teams (VHTs), but their performance has been poor in many communities. It is argued that poor community involvement in the select...

  16. The Naval Aviation Enterprise Type/Model/Series Team and Its Effect on AH-1W Readiness

    Science.gov (United States)

    2012-03-23

    Team Structure 28 9 Current Readiness Process The Current Readiness Process assesses the readiness metrics, or Key Performance Indicators ( KPIs ...CR CFT and the Marine Corps leadership to shift resources to close the gap. Aircraft Readiness Aircraft availability is one of the KPIs that the T...Commandant of Aviation DRRS Defense Readiness Reporting System FMC Full Mission Capable GAO General Accounting Office GSE Ground Support Equipment KPI

  17. Team Learning in Teacher Teams: Team Entitativity as a Bridge between Teams-in-Theory and Teams-in-Practice

    Science.gov (United States)

    Vangrieken, Katrien; Dochy, Filip; Raes, Elisabeth

    2016-01-01

    This study aimed to investigate team learning in the context of teacher teams in higher vocational education. As teacher teams often do not meet all criteria included in theoretical team definitions, the construct "team entitativity" was introduced. Defined as the degree to which a group of individuals possesses the quality of being a…

  18. Role Allocation and Team Structure in Command and Control Teams

    Science.gov (United States)

    2014-06-01

    organizational psychology and management sciences literature show concepts such as empowered self-management and self-regulating work teams (see Cooney, 2004...tankers (FT), search units (S) and rescue units (R). Each unit is represented on the map by a numbered icon. Each type of unit is colour -coded and...Understanding team adaptation: A conceptual analysis and model. Journal of Applied Psychology , 91, 1189-1207. Cannon-Bowers, J. A., Tannenbaum

  19. Voluntary versus Enforced Team Effort

    Directory of Open Access Journals (Sweden)

    Claudia Keser

    2011-08-01

    Full Text Available We present a model where each of two players chooses between remuneration based on either private or team effort. Although at least one of the players has the equilibrium strategy to choose private remuneration, we frequently observe both players to choose team remuneration in a series of laboratory experiments. This allows for high cooperation payoffs but also provides individual free-riding incentives. Due to significant cooperation, we observe that, in team remuneration, participants make higher profits than in private remuneration. We also observe that, when participants are not given the option of private remuneration, they cooperate significantly less.

  20. Virtual Team Governance: Addressing the Governance Mechanisms and Virtual Team Performance

    Science.gov (United States)

    Zhan, Yihong; Bai, Yu; Liu, Ziheng

    As technology has improved and collaborative software has been developed, virtual teams with geographically dispersed members spread across diverse physical locations have become increasingly prominent. Virtual team is supported by advancing communication technologies, which makes virtual teams able to largely transcend time and space. Virtual teams have changed the corporate landscape, which are more complex and dynamic than traditional teams since the members of virtual teams are spread on diverse geographical locations and their roles in the virtual team are different. Therefore, how to realize good governance of virtual team and arrive at good virtual team performance is becoming critical and challenging. Good virtual team governance is essential for a high-performance virtual team. This paper explores the performance and the governance mechanism of virtual team. It establishes a model to explain the relationship between the performance and the governance mechanisms in virtual teams. This paper is focusing on managing virtual teams. It aims to find the strategies to help business organizations to improve the performance of their virtual teams and arrive at the objectives of good virtual team management.

  1. Extra-team connections for knowledge transfer between staff teams

    Science.gov (United States)

    Ramanadhan, Shoba; Wiecha, Jean L.; Emmons, Karen M.; Gortmaker, Steven L.; Viswanath, Kasisomayajula

    2009-01-01

    As organizations implement novel health promotion programs across multiple sites, they face great challenges related to knowledge management. Staff social networks may be a useful medium for transferring program-related knowledge in multi-site implementation efforts. To study this potential, we focused on the role of extra-team connections (ties between staff members based in different site teams) as potential channels for knowledge sharing. Data come from a cross-sectional study of afterschool childcare staff implementing a health promotion program at 20 urban sites of the Young Men's Christian Association of Greater Boston. We conducted a sociometric social network analysis and attempted a census of 91 program staff members. We surveyed 80 individuals, and included 73 coordinators and general staff, who lead and support implementation, respectively, in this study. A multiple linear regression model demonstrated a positive relationship between extra-team connections (β = 3.41, P knowledge transfer. We also found that intra-team connections (within-team ties between staff members) were also positively related to skill receipt. Connections between teams appear to support knowledge transfer in this network, but likely require greater active facilitation, perhaps via organizational changes. Further research on extra-team connections and knowledge transfer in low-resource, high turnover environments is needed. PMID:19528313

  2. Speeding Up Team Learning.

    Science.gov (United States)

    Edmondson, Amy; Bohmer, Richard; Pisano, Gary

    2001-01-01

    A study of 16 cardiac surgery teams looked at how the teams adapted to new ways of working. The challenge of team management is to implement new processes as quickly as possible. Steps for creating a learning team include selecting a mix of skills and expertise, framing the challenge, and creating an environment of psychological safety. (JOW)

  3. [Multiprofessional team working in palliative medicine].

    Science.gov (United States)

    Osaka, Iwao

    2013-04-01

    Now, more than ever, palliative medicine has been gaining recognition for its essential role in cancer treatment. Since its beginning, it has emphasized the importance of collaboration among multidisciplinary professionals, valuing a comprehensive and holistic philosophy, addressing a wide range of hopes and suffering that patients and families experience. There are three models (approaches) for the medical teams: multidisciplinary, interdisciplinary, and transdisciplinary. Palliative care teams often choose the interdisciplinary team model, and the teams in the palliative care units may often choose the transdisciplinary team model. Recently, accumulating research has shown the clinical benefits of the interdisciplinary/transdisciplinary approach in palliative care settings. Clarifying appropriate functions and ideal features of physicians in the health care team, and enforcing the suitable team approach will contribute to improve the quality of whole medical practice beyond the framework of "palliative medicine".

  4. Using team cognitive work analysis to reveal healthcare team interactions in a birthing unit.

    Science.gov (United States)

    Ashoori, Maryam; Burns, Catherine M; d'Entremont, Barbara; Momtahan, Kathryn

    2014-01-01

    Cognitive work analysis (CWA) as an analytical approach for examining complex sociotechnical systems has shown success in modelling the work of single operators. The CWA approach incorporates social and team interactions, but a more explicit analysis of team aspects can reveal more information for systems design. In this paper, Team CWA is explored to understand teamwork within a birthing unit at a hospital. Team CWA models are derived from theories and models of teamwork and leverage the existing CWA approaches to analyse team interactions. Team CWA is explained and contrasted with prior approaches to CWA. Team CWA does not replace CWA, but supplements traditional CWA to more easily reveal team information. As a result, Team CWA may be a useful approach to enhance CWA in complex environments where effective teamwork is required. This paper looks at ways of analysing cognitive work in healthcare teams. Team Cognitive Work Analysis, when used to supplement traditional Cognitive Work Analysis, revealed more team information than traditional Cognitive Work Analysis. Team Cognitive Work Analysis should be considered when studying teams.

  5. [Investigation of team processes that enhance team performance in business organization].

    Science.gov (United States)

    Nawata, Kengo; Yamaguchi, Hiroyuki; Hatano, Toru; Aoshima, Mika

    2015-02-01

    Many researchers have suggested team processes that enhance team performance. However, past team process models were based on crew team, whose all team members perform an indivisible temporary task. These models may be inapplicable business teams, whose individual members perform middle- and long-term tasks assigned to individual members. This study modified the teamwork model of Dickinson and McIntyre (1997) and aimed to demonstrate a whole team process that enhances the performance of business teams. We surveyed five companies (member N = 1,400, team N = 161) and investigated team-level-processes. Results showed that there were two sides of team processes: "communication" and "collaboration to achieve a goal." Team processes in which communication enhanced collaboration improved team performance with regard to all aspects of the quantitative objective index (e.g., current income and number of sales), supervisor rating, and self-rating measurements. On the basis of these results, we discuss the entire process by which teamwork enhances team performance in business organizations.

  6. Using team cognitive work analysis to reveal healthcare team interactions in a birthing unit

    Science.gov (United States)

    Ashoori, Maryam; Burns, Catherine M.; d'Entremont, Barbara; Momtahan, Kathryn

    2014-01-01

    Cognitive work analysis (CWA) as an analytical approach for examining complex sociotechnical systems has shown success in modelling the work of single operators. The CWA approach incorporates social and team interactions, but a more explicit analysis of team aspects can reveal more information for systems design. In this paper, Team CWA is explored to understand teamwork within a birthing unit at a hospital. Team CWA models are derived from theories and models of teamworkand leverage the existing CWA approaches to analyse team interactions. Team CWA is explained and contrasted with prior approaches to CWA. Team CWA does not replace CWA, but supplements traditional CWA to more easily reveal team information. As a result, Team CWA may be a useful approach to enhance CWA in complex environments where effective teamwork is required. Practitioner Summary: This paper looks at ways of analysing cognitive work in healthcare teams. Team Cognitive Work Analysis, when used to supplement traditional Cognitive Work Analysis, revealed more team information than traditional Cognitive Work Analysis. Team Cognitive Work Analysis should be considered when studying teams PMID:24837514

  7. Team Leader Structuring for Team Effectiveness and Team Learning in Command-and-Control Teams

    Science.gov (United States)

    van der Haar, Selma; Koeslag-Kreunen, Mieke; Euwe, Eline; Segers, Mien

    2017-01-01

    Due to their crucial and highly consequential task, it is of utmost importance to understand the levers leading to effectiveness of multidisciplinary emergency management command-and-control (EMCC) teams. We argue that the formal EMCC team leader needs to initiate structure in the team meetings to support organizing the work as well as facilitate team learning, especially the team learning process of constructive conflict. In a sample of 17 EMCC teams performing a realistic EMCC exercise, including one or two team meetings (28 in sum), we coded the team leader’s verbal structuring behaviors (1,704 events), rated constructive conflict by external experts, and rated team effectiveness by field experts. Results show that leaders of effective teams use structuring behaviors more often (except asking procedural questions) but decreasingly over time. They support constructive conflict by clarifying and by making summaries that conclude in a command or decision in a decreasing frequency over time. PMID:28490856

  8. Team Leader Structuring for Team Effectiveness and Team Learning in Command-and-Control Teams.

    Science.gov (United States)

    van der Haar, Selma; Koeslag-Kreunen, Mieke; Euwe, Eline; Segers, Mien

    2017-04-01

    Due to their crucial and highly consequential task, it is of utmost importance to understand the levers leading to effectiveness of multidisciplinary emergency management command-and-control (EMCC) teams. We argue that the formal EMCC team leader needs to initiate structure in the team meetings to support organizing the work as well as facilitate team learning, especially the team learning process of constructive conflict. In a sample of 17 EMCC teams performing a realistic EMCC exercise, including one or two team meetings (28 in sum), we coded the team leader's verbal structuring behaviors (1,704 events), rated constructive conflict by external experts, and rated team effectiveness by field experts. Results show that leaders of effective teams use structuring behaviors more often (except asking procedural questions) but decreasingly over time. They support constructive conflict by clarifying and by making summaries that conclude in a command or decision in a decreasing frequency over time.

  9. Trust in Diverse Teams

    DEFF Research Database (Denmark)

    Clausen, Lisbeth

    , maintaining team cohesiveness in multicultural teams to collaborate effectively presents a number of challenges. The present study employs the concept of trust to explore influences on team collaboration in high performing teams. The study is based on observation of teams in seven multinational corporations...... and interviews with managers from the US, Europe, China and Japan. The study presents a conceptual framework - a ‘trust buffer’ – which enables analysis and exemplification of the dynamics and challenges of teams as drivers of change. Each team has strategically important tasks, unique capacities and deal...... with change in particular ways: Each team is analyzed in relation to its global (HQ) mandate, local (national) stakeholders and organizational context. It is found that communication energy, resources and team mandate underscore the sense of trust in high performing teams. Diversity is understood...

  10. Modeling Evidence-Based Application: Using Team-Based Learning to Increase Higher Order Thinking in Nursing Research

    Directory of Open Access Journals (Sweden)

    Bridget Moore

    2015-06-01

    Full Text Available Nursing practice is comprised of knowledge, theory, and research [1]. Because of its impact on the profession, the appraisal of research evidence is critically important. Future nursing professionals must be introduced to the purpose and utility of nursing research, as early exposure provides an opportunity to embed evidence-based practice (EBP into clinical experiences. The AACN requires baccalaureate education to include an understanding of the research process to integrate reliable evidence to inform practice and enhance clinical judgments [1]. Although the importance of these knowledge competencies are evident to healthcare administrators and nursing leaders within the field, undergraduate students at the institution under study sometimes have difficulty understanding the relevance of nursing research to the baccalaureate prepared nurse, and struggle to grasp advanced concepts of qualitative and quantitative research design and methodologies. As undergraduate nursing students generally have not demonstrated an understanding of the relationship between theoretical concepts found within the undergraduate nursing curriculum and the practical application of these concepts in the clinical setting, the research team decided to adopt an effective pedagogical active learning strategy, team-based learning (TBL. Team-based learning shifts the traditional course design to focus on higher thinking skills to integrate desired knowledge [2]. The purpose of this paper is to discuss the impact of course design with the integration of TBL in an undergraduate nursing research course on increasing higher order thinking. [1] American Association of Colleges of Nursing, The Essentials of Baccalaureate Education for Professional Nursing Practice, Washington, DC: American Association of Colleges of Nursing, 2008. [2] B. Bloom, Taxonomy of Educational Objectives, Handbook I: Cognitive Domain, New York: McKay, 1956.

  11. Developing Your Dream Team

    Science.gov (United States)

    Gatlin, Kenda

    2005-01-01

    Almost anyone has held various roles on a team, be it a family unit, sports team, or a project-oriented team. As an educator, one must make a conscious decision to build and invest in a team. Gathering the best team possible will help one achieve one's goals. This article explores some of the key reasons why it is important to focus on the team…

  12. Comet 67P/Churyumov-Gerasimenko Surface Composition as a Playground for Radiative Transfer Modeling and Laboratory Measurements: an international ISSI team

    Science.gov (United States)

    Stephan, K.; Ciarniello, M.; Beck, P.; Filacchione, G.; Moroz, L.; Pilorget, C.; Pommerol, A.; Quirico, E.; Raponi, A.; Schröder, S.; Kappel, D.; Vinogradoff, V.; Istiqomah, I.; Rousseau, B.

    2017-12-01

    Remote sensing observations at visible-infrared (VIS-IR) wavelengths of the nucleus of comet 67P/Churyumov-Gerasimenko performed by VIRTIS (Coradini et al., 2007) aboard the Rosetta mission have revealed a surface ubiquitously covered by low-albedo material (Capaccioni et al., 2015; Ciarniello et al., 2015), characterized by the presence of refractory and semi-volatile organics and dark opaque phases (Capaccioni et al., 2015; Quirico et al., 2016). However, a quantitative determination of the physical properties (grain size, porosity) and chemical composition of the surface regolith, from spectrophotometric analysis, is still missing. This subject will be investigated within an international team hosted by ISSI (International Space Science Institute), taking advantage of available and dedicated laboratory reflectance measurements on cometary analogue samples and radiative transfer models (Hapke, 2012; Shkuratov et al., 1999; Monte Carlo ray-tracing), applied to Rosetta spectrophotometric observations of the nucleus. The convergence between models and measurements will allow us to provide a thorough characterization of 67P/Churyumov-Gerasimenko surface. At the same time, the comparison of theoretical predictions with results from laboratory reflectance spectroscopy on powders of analog materials give us the possibility to constrain the capability of the models to characterize their composition (endmember abundances and mixing modalities) and physical properties. We report about the state of the art of laboratory reflectance spectroscopy and spectral modeling applied to 67P/Churyumov-Gerasimenko VIS-IR spectrum as well as preliminary results of the team activity and planned future work. Acknowledgements: the team thanks ISSI-Switzerland for the logistic and financial support.

  13. Alpha synchronization as a brain model for unconscious defense: An overview of the work of Howard Shevrin and his team.

    Science.gov (United States)

    Bazan, Ariane

    2017-10-01

    Howard Shevrin and his team have developed a stringent subliminal priming methodology, which experimentally approximates a situation of an internal, mental triggering of unconscious defense. Through a series of four studies they thus are able to bring evidence for this type of unconscious defense. With event-related potentials, three clinical studies show how synchronization of a specific brain wave, the alpha wave, known for its inhibitory function, is also induced by subliminally presented conflictual subject-specific stimuli. Therefore, alpha synchronization could serve as the brain mechanism of unconscious defense. The results only make sense if we suppose the existence of a dynamic unconscious, which has inherited childhood conflicts, and with privileged connections to neurotic symptom characteristics. Moreover, by showing that the unconscious conflict phrases, inferred by clinicians from clinical interviews, have a similar brain behavior, Shevrin and his team provide evidence that these inferences are not simply clinician-dependent subjective interpretations but also imply some form of independent mental reality. Finally, interpretation of the results has led us to propose two distinct physiological mechanisms for defense: one, unconscious defense, by alpha synchronization in connection with the drive derivatives, and another, repression, based on the indications of reality in connection with the ego. Copyright © 2017 Institute of Psychoanalysis.

  14. Use of a Shared Mental Model by a Team Composed of Oncology, Palliative Care, and Supportive Care Clinicians to Facilitate Shared Decision Making in a Patient With Advanced Cancer.

    Science.gov (United States)

    D'Ambruoso, Sarah F; Coscarelli, Anne; Hurvitz, Sara; Wenger, Neil; Coniglio, David; Donaldson, Dusty; Pietras, Christopher; Walling, Anne M

    2016-11-01

    Our case describes the efforts of team members drawn from oncology, palliative care, supportive care, and primary care to assist a woman with advanced cancer in accepting care for her psychosocial distress, integrating prognostic information so that she could share in decisions about treatment planning, involving family in her care, and ultimately transitioning to hospice. Team members in our setting included a medical oncologist, oncology nurse practitioner, palliative care nurse practitioner, oncology social worker, and primary care physician. The core members were the patient and her sister. Our team grew organically as a result of patient need and, in doing so, operationalized an explicitly shared understanding of care priorities. We refer to this shared understanding as a shared mental model for care delivery, which enabled our team to jointly set priorities for care through a series of warm handoffs enabled by the team's close proximity within the same clinic. When care providers outside our integrated team became involved in the case, significant communication gaps exposed the difficulty in extending our shared mental model outside the integrated team framework, leading to inefficiencies in care. Integration of this shared understanding for care and close proximity of team members proved to be key components in facilitating treatment of our patient's burdensome cancer-related distress so that she could more effectively participate in treatment decision making that reflected her goals of care.

  15. OFFSETTING TOMORROW’S ADVERSARY IN A CONTESTED ENVIRONMENT: DEFENDING EXPEDITIONARY ADVANCE BASES IN 2025 AND BEYOND

    Science.gov (United States)

    2017-04-06

    EABs enable the dispersal of key assets to cloud adversary targeting process while 8 providing the joint force proximity to the area of...environment, the denial of ISR capabilities is critical to maintaining an adversary’s uncertainty and cloud his situational awareness. To this task...James E. 2014. "Expeditionary Force 21." Expeditionary Force 21, Forward and Ready: Now and in the Future. Washington, DC: HQ USMC, March 4. Board

  16. Cutting out the middleman: physicians can contract directly with employers--a viable alternative to adversarial managed care agreements.

    Science.gov (United States)

    Lester, Howard

    2002-01-01

    HMOs, PPOs, and other managed care "middlemen" control the means by which most physicians do business with employers. As physicians face dwindling reimbursements, greater practice restrictions, and increased pressure to sign adversarial middleman contracts, interest in direct contracting has grown. This article introduces direct contracting as an important alternative to commercial managed care agreements; cites the key advantages and process of direct contracting; and offers practical recommendations for helping physician practices successfully negotiate direct physician/employer agreements.

  17. Team Effectiveness and Team Development in CSCL

    Science.gov (United States)

    Fransen, Jos; Weinberger, Armin; Kirschner, Paul A.

    2013-01-01

    There is a wealth of research on computer-supported cooperative work (CSCW) that is neglected in computer-supported collaborative learning (CSCL) research. CSCW research is concerned with contextual factors, however, that may strongly influence collaborative learning processes as well, such as task characteristics, team formation, team members'…

  18. MANAGING MULTICULTURAL PROJECT TEAMS

    Directory of Open Access Journals (Sweden)

    Cezar SCARLAT

    2014-06-01

    Full Text Available The article is based on literature review and authors’ own recent experience in managing multicultural project teams, in international environment. This comparative study considers two groups of projects: technical assistance (TA projects versus information technology (IT projects. The aim is to explore the size and structure of the project teams – according to the team formation and its lifecycle, and to identify some distinctive attributes of the project teams – both similarities and differences between the above mentioned types of projects. Distinct focus of the research is on the multiculturalism of the project teams: how the cultural background of the team members influences the team performance and team management. Besides the results of the study are the managerial implications: how the team managers could soften the cultural clash, and avoid inter-cultural misunderstandings and even conflicts – in order to get a better performance. Some practical examples are provided as well.

  19. Systems innovation model: an integrated interdisciplinary team approach pre- and post-bariatric surgery at a veterans affairs (VA) medical center.

    Science.gov (United States)

    Eisenberg, Dan; Lohnberg, Jessica A; Kubat, Eric P; Bates, Cheryl C; Greenberg, Lauren M; Frayne, Susan M

    2017-04-01

    Provision of bariatric surgery in the Veterans Health Administration must account for obese veterans' co-morbidity burden and the geographically dispersed location of patients relative to Veterans Affairs (VA) bariatric centers. To evaluate a collaborative, integrated, interdisciplinary bariatric team of surgeons, bariatricians, psychologists, dieticians, and physical therapists working in a hub-and-spokes care model, for pre- and post-bariatric surgery assessment and management. This is a description of an interdisciplinary clinic and bariatric program at a VA healthcare system and a report on program evaluation findings. Retrospective data of a prospective database was abstracted. For program evaluation, we abstracted charts to characterize patient data and conducted a patient survey. Since 2009, 181 veterans have undergone bariatric surgery. Referrals came from 7 western U.S. states. Mean preoperative body mass index was 46 kg/m 2 (maximum 71). Mean age was 53 years, with 33% aged>60 years; 79% were male. Medical co-morbidity included diabetes (70%), hypertension (85%), and lower back or extremity joint pain (84%). A psychiatric diagnosis was present in 58%. At 12 months, follow-up was 81% and percent excess body mass index loss was 50.5%. Among 54 sequential clinic patients completing anonymous surveys, overall satisfaction with the interdisciplinary team approach and improved quality of life were high (98% and 94%, respectively). The integrated, interdisciplinary team approach using a hub-and-spokes model is well suited to the VA bariatric surgery population, with its heavy burden of medical and mental health co-morbidity and its system of geographically dispersed patients receiving treatment at specialty centers. As the VA seeks to expand the use of bariatric surgery as an option for obese veterans, interdisciplinary models crafted to address case complexity, care coordination, and long-term outcomes should be part of policy planning efforts. Published by

  20. Teams as innovative systems: multilevel motivational antecedents of innovation in R&D teams.

    Science.gov (United States)

    Chen, Gilad; Farh, Jiing-Lih; Campbell-Bush, Elizabeth M; Wu, Zhiming; Wu, Xin

    2013-11-01

    Integrating theories of proactive motivation, team innovation climate, and motivation in teams, we developed and tested a multilevel model of motivators of innovative performance in teams. Analyses of multisource data from 428 members of 95 research and development (R&D) teams across 33 Chinese firms indicated that team-level support for innovation climate captured motivational mechanisms that mediated between transformational leadership and team innovative performance, whereas members' motivational states (role-breadth self-efficacy and intrinsic motivation) mediated between proactive personality and individual innovative performance. Furthermore, individual motivational states and team support for innovation climate uniquely promoted individual innovative performance, and, in turn, individual innovative performance linked team support for innovation climate to team innovative performance. (c) 2013 APA, all rights reserved.

  1. The role of justice in team member satisfaction with the leader and attachment to the team.

    Science.gov (United States)

    Phillips, J M; Douthitt, E A; Hyland, M M

    2001-04-01

    This study examined the effects of team decision accuracy, team member decision influence, leader consideration behaviors, and justice perceptions on staff members' satisfaction with the leader and attachment to the team in hierarchical decision-making teams. The authors proposed that staff members' justice perceptions would mediate the relationship between (a) team decision accuracy, (b) the amount of influence a staff member has in the team leader's decision, and (c) the leader's consideration behaviors and staff attachment to the team and satisfaction with the leader. The results of an experiment involving 128 participants in a total of 64 teams, who made recommendations to a confederate acting as the team leader, generally support the proposed model.

  2. Collective autonomy and absenteeism within work teams: a team motivation approach.

    Science.gov (United States)

    Rousseau, Vincent; Aubé, Caroline

    2013-01-01

    This study investigates the role of collective autonomy in regard to team absenteeism by considering team potency as a motivational mediator and task routineness as a moderator. The sample consists of 90 work teams (327 members and 90 immediate superiors) drawn from a public safety organization. Results of structural equation modeling indicate that the relationships between collective autonomy and two indicators of team absenteeism (i.e., absence frequency and time lost) are mediated by team potency. Specifically, collective autonomy is positively related to team potency which in turn is negatively related to team absenteeism. Furthermore, results of hierarchical regression analyses show that task routineness moderates the relationships between collective autonomy and the two indicators of team absenteeism such that these relationships are stronger when the level of task routineness is low. On the whole, this study points out that collective autonomy may exercise a motivational effect on attendance at work within teams, but this effect is contingent on task routineness.

  3. Job satisfaction among mental healthcare professionals: The respective contributions of professional characteristics, team attributes, team processes, and team emergent states

    Science.gov (United States)

    Fleury, Marie-Josée; Grenier, Guy; Bamvita, Jean-Marie

    2017-01-01

    Objectives: The aim of this study was to determine the respective contribution of professional characteristics, team attributes, team processes, and team emergent states on the job satisfaction of 315 mental health professionals from Quebec (Canada). Methods: Job satisfaction was measured with the Job Satisfaction Survey. Independent variables were organized into four categories according to a conceptual framework inspired from the Input-Mediator-Outcomes-Input Model. The contribution of each category of variables was assessed using hierarchical regression analysis. Results: Variations in job satisfaction were mostly explained by team processes, with minimal contribution from the other three categories. Among the six variables significantly associated with job satisfaction in the final model, four were team processes: stronger team support, less team conflict, deeper involvement in the decision-making process, and more team collaboration. Job satisfaction was also associated with nursing and, marginally, male gender (professional characteristics) as well as with a stronger affective commitment toward the team (team emergent states). Discussion and Conclusion: Results confirm the importance for health managers of offering adequate support to mental health professionals, and creating an environment favorable to collaboration and decision-sharing, and likely to reduce conflicts between team members. PMID:29276591

  4. Job satisfaction among mental healthcare professionals: The respective contributions of professional characteristics, team attributes, team processes, and team emergent states.

    Science.gov (United States)

    Fleury, Marie-Josée; Grenier, Guy; Bamvita, Jean-Marie

    2017-01-01

    The aim of this study was to determine the respective contribution of professional characteristics, team attributes, team processes, and team emergent states on the job satisfaction of 315 mental health professionals from Quebec (Canada). Job satisfaction was measured with the Job Satisfaction Survey. Independent variables were organized into four categories according to a conceptual framework inspired from the Input-Mediator-Outcomes-Input Model. The contribution of each category of variables was assessed using hierarchical regression analysis. Variations in job satisfaction were mostly explained by team processes, with minimal contribution from the other three categories. Among the six variables significantly associated with job satisfaction in the final model, four were team processes: stronger team support, less team conflict, deeper involvement in the decision-making process, and more team collaboration. Job satisfaction was also associated with nursing and, marginally, male gender (professional characteristics) as well as with a stronger affective commitment toward the team (team emergent states). Results confirm the importance for health managers of offering adequate support to mental health professionals, and creating an environment favorable to collaboration and decision-sharing, and likely to reduce conflicts between team members.

  5. A Conceptual Framework for Team Social Capital as Basis for Organizational Team Synergy

    Directory of Open Access Journals (Sweden)

    Raluca ZOLTAN

    2012-08-01

    Full Text Available The purpose of this paper is to outline a conceptual framework of team social capital as a basis for reaching organizational team synergy. The dimensions of team social capital and the basic conditions required for organizational team synergy enable the extension of current model of team social capital by including of other variables. Today’s managers must consider these variables since the team tends to be the basic structural unit of current organizations and synergy, the key to achieving high performance in global competition.

  6. The Effects of Sacred Value Networks Within an Evolutionary, Adversarial Game

    Science.gov (United States)

    McCalla, Scott G.; Short, Martin B.; Brantingham, P. Jeffrey

    2013-05-01

    The effects of personal relationships and shared ideologies on levels of crime and the formation of criminal coalitions are studied within the context of an adversarial, evolutionary game first introduced in Short et al. (Phys. Rev. E 82:066114, 2010). Here, we interpret these relationships as connections on a graph of N players. These connections are then used in a variety of ways to define each player's "sacred value network"—groups of individuals that are subject to special consideration or treatment by that player. We explore the effects on the dynamics of the system that these networks introduce, through various forms of protection from both victimization and punishment. Under local protection, these networks introduce a new fixed point within the game dynamics, which we find through a continuum approximation of the discrete game. Under more complicated, extended protection, we numerically observe the emergence of criminal coalitions, or "gangs". We also find that a high-crime steady state is much more frequent in the context of extended protection networks, in both the case of Erdős-Rényi and small world random graphs.

  7. Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification

    Directory of Open Access Journals (Sweden)

    Zhi He

    2017-10-01

    Full Text Available Classification of hyperspectral image (HSI is an important research topic in the remote sensing community. Significant efforts (e.g., deep learning have been concentrated on this task. However, it is still an open issue to classify the high-dimensional HSI with a limited number of training samples. In this paper, we propose a semi-supervised HSI classification method inspired by the generative adversarial networks (GANs. Unlike the supervised methods, the proposed HSI classification method is semi-supervised, which can make full use of the limited labeled samples as well as the sufficient unlabeled samples. Core ideas of the proposed method are twofold. First, the three-dimensional bilateral filter (3DBF is adopted to extract the spectral-spatial features by naturally treating the HSI as a volumetric dataset. The spatial information is integrated into the extracted features by 3DBF, which is propitious to the subsequent classification step. Second, GANs are trained on the spectral-spatial features for semi-supervised learning. A GAN contains two neural networks (i.e., generator and discriminator trained in opposition to one another. The semi-supervised learning is achieved by adding samples from the generator to the features and increasing the dimension of the classifier output. Experimental results obtained on three benchmark HSI datasets have confirmed the effectiveness of the proposed method , especially with a limited number of labeled samples.

  8. Sistema penal acusatorio en Veracruz/Adversarial criminal system in Veracruz

    Directory of Open Access Journals (Sweden)

    Jorge Alberto Pérez Tolentino (México

    2014-01-01

    Full Text Available El estudio y comprensión del nuevo Código de Procedimientos Penales de Veracruz resulta ineludible, en virtud de las nítidas diferencias existentes entre las figuras jurídicas que contiene el actual ordenamiento, en comparación con el anterior. Es preciso sistematizar, describir y analizar la estructura del sistema penal acusatorio, a efecto de estar en condiciones de evaluar y, en su caso, proponer las mejoras al sistema en cuestión. El contenido esquemático y sustancial del código, la visión y recepción que del mismo tienen los operadores jurídicos y la sociedad en general, son aspectos que cubre el presente documento. The study and understanding of the new Code of Criminal Procedure of Veracruz is unavoidable, by reason of the sharp differences between the legal concepts that contains the actual order, compared with the previous. Needs to be systematized, describe and analyze the structure of the adversarial criminal system, in order to be able to evaluate and, if necessary, propose improvements to the system in question. The schematic and substantial content of the code, viewing and welcome that the same have the legal practitioners and society in general, are aspects covered by herein.

  9. Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit

    Science.gov (United States)

    Schawinski, Kevin; Zhang, Ce; Zhang, Hantian; Fowler, Lucas; Santhanam, Gokula Krishnan

    2017-05-01

    Observations of astrophysical objects such as galaxies are limited by various sources of random and systematic noise from the sky background, the optical system of the telescope and the detector used to record the data. Conventional deconvolution techniques are limited in their ability to recover features in imaging data by the Shannon-Nyquist sampling theorem. Here, we train a generative adversarial network (GAN) on a sample of 4550 images of nearby galaxies at 0.01 < z < 0.02 from the Sloan Digital Sky Survey and conduct 10× cross-validation to evaluate the results. We present a method using a GAN trained on galaxy images that can recover features from artificially degraded images with worse seeing and higher noise than the original with a performance that far exceeds simple deconvolution. The ability to better recover detailed features such as galaxy morphology from low signal to noise and low angular resolution imaging data significantly increases our ability to study existing data sets of astrophysical objects as well as future observations with observatories such as the Large Synoptic Sky Telescope (LSST) and the Hubble and James Webb space telescopes.

  10. Tiger Team audits

    International Nuclear Information System (INIS)

    Cheney, G.T.

    1992-01-01

    This paper will address the purpose, scope, and approach of the Department of Energy Tiger Team Assessments. It will use the Tiger Team Assessment experience of Sandia National Laboratories at Albuquerque, New Mexico, as illustration

  11. Transforming Virtual Teams

    DEFF Research Database (Denmark)

    Bjørn, Pernille

    2005-01-01

    Investigating virtual team collaboration in industry using grounded theory this paper presents the in-dept analysis of empirical work conducted in a global organization of 100.000 employees where a global virtual team with participants from Sweden, United Kingdom, Canada, and North America were...... studied. The research question investigated is how collaboration is negotiated within virtual teams? This paper presents findings concerning how collaboration is negotiated within a virtual team and elaborate the difficulties due to invisible articulation work and managing multiple communities...... in transforming the virtual team into a community. It is argued that translucence in communication structures within the virtual team and between team and management is essential for engaging in a positive transformation process of trustworthiness supporting the team becoming a community, managing the immanent...

  12. Teaming up for learning

    NARCIS (Netherlands)

    Fransen, Jos

    2012-01-01

    Fransen, J. (2012). Teaming up for learning: Team effectiveness in collaborative learning in higher education (Doctoral dissertation). November, 16, 2012, Open University in the Netherlands (CELSTEC), Heerlen, The Netherlands.

  13. Culture and teams.

    Science.gov (United States)

    Kirkman, Bradley L; Shapiro, Debra L; Lu, Shuye; McGurrin, Daniel P

    2016-04-01

    We first review research on culture effects in teams, illustrating that mean levels of team cultural values have main (i.e. direct) effects, indirect effects (i.e. mediated by intervening variables), and moderating influences on team processes and outcomes. Variance in team cultural values or on country of origin (i.e. nationality diversity) also has main effects on team functioning, and we highlight contextual variables that strengthen or weaken these main effects. We next review research examining the effect of variance in team cultural values on global virtual teams, specifically. Finally, we review research on how cultural values shape employees' receptivity to empowering leadership behavior in teams. We conclude by discussing critical areas for future research. Published by Elsevier Ltd.

  14. Your Dialysis Care Team

    Science.gov (United States)

    ... A to Z Health Guide Your Dialysis Care Team Tweet Share Print Email Good health care is ... dialyzers (artificial kidneys) for reuse. Vascular Access Care Team If you are a hemodialysis patient, another group ...

  15. Building multidisciplinary business teams

    International Nuclear Information System (INIS)

    Dyson, C.J.; Winte, N.C.

    1991-01-01

    This paper is a description of an approach to managing Exploration and Production assets through the operation of multidisciplinary business teams. The business team approach can assist in improved asset performance in terms of efficiency, motivation and business results, compared with more traditional matrix style hierarchies. Within this paper certain critical success factors for the long term success of multidiscipline teams are outlined, together with some of the risk of business team operation

  16. Toward Learning Teams

    DEFF Research Database (Denmark)

    Hoda, Rashina; Babb, Jeff; Nørbjerg, Jacob

    2013-01-01

    to sacrifice learning-focused practices. Effective learning under pressure involves conscious efforts to implement original agile practices such as retrospectives and adapted strategies such as learning spikes. Teams, their management, and customers must all recognize the importance of creating learning teams......Today's software development challenges require learning teams that can continuously apply new engineering and management practices, new and complex technical skills, cross-functional skills, and experiential lessons learned. The pressure of delivering working software often forces software teams...

  17. Formalization of Team Creation

    OpenAIRE

    Cerman, Tomáš

    2010-01-01

    This paper is divided to practical and theoretical part. Theoretical part defines essential background of personality and work psychology which are pillars for using the personality and roles typology in practical part. I also define conceptions such as group, team, procedures of making the team. Practical part is focused at making the repertoary grid which outlines proximity of team roles, anchored in the repertoary grids upon personal atributes basis and picked team positions.

  18. Engaged work teams in healthy companies: drivers, processes, and outcomes of team work engagement

    OpenAIRE

    Torrente Barberà, Pedro

    2014-01-01

    This PhD thesis analyses work engagement in the context of work teams taking a collective, psychosocial perspective. Throughout this thesis, the following topics will be addressed: 1) the state-of-the-art in the topic of team work engagement, 2) the measurement of team work engagement, 3) the association of team work engagement with other relevant individual-level constructs and how it fits in traditional research models in the field of Positive Occupational Health Psychology, 4) the antecede...

  19. Structuring Effective Student Teams.

    Science.gov (United States)

    Dickson, Ellen L.

    1997-01-01

    Experience with student teams working on policy analysis projects indicates the need for faculty supervision of teams in the process of addressing complex issues. The problem-solving approach adopted in one policy analysis course is described, including assignments and tasks, issues and sponsors, team dynamics, conflict management, and the…

  20. Fostering teachers' team learning

    NARCIS (Netherlands)

    Bouwmans, Machiel; Runhaar, Piety; Wesselink, Renate; Mulder, Martin

    2017-01-01

    The implementation of educational innovations by teachers seems to benefit from a team approach and team learning. The study's goal is to examine to what extent transformational leadership is associated with team learning, and to investigate the mediating roles of participative decision-making,

  1. Leadership for Distributed Teams

    NARCIS (Netherlands)

    De Rooij, J.P.G.

    2009-01-01

    The aim of this dissertation was to study the little examined, yet important issue of leadership for distributed teams. Distributed teams are defined as: “teams of which members are geographically distributed and are therefore working predominantly via mediated communication means on an

  2. The moderating role of team resources in translating nursing teams' accountability into learning and performance: a cross-sectional study.

    Science.gov (United States)

    Rashkovits, Sarit; Drach-Zahavy, Anat

    2017-05-01

    The aim of this study was to test the moderated-mediation model suggesting that nursing teams' accountability affects team effectiveness by enhancing team learning when relevant resources are available to the team. Disappointing evidence regarding improvement in nurses' safe and quality care elevate the need in broadening our knowledge regarding the factors that enhance constant learning in nursing teams. Accountability is considered as crucial for team learning and quality of care but empirical findings have shown mixed evidence. A cross-sectional design. Forty-four nursing teams participated in the study. Data were collected in 2013-2014: Head nurses completed validated questionnaires, regarding team resources for learning (time availability, team autonomy and team performance feedback), and nursing teams' effectiveness; and nurses answered questionnaires regarding teams' accountability and learning (answers were aggregated to the team level). The model was tested using a moderated-mediation analysis with resources as moderating variables, and team learning as the mediator in the team accountability-team effectiveness link. The results of a mixed linear regression show that, as expected, nursing teams' accountability was positively linked to nursing teams' learning, when time availability, and team autonomy were high rather than low, and team performance feedback was low rather than high. Nurturing team accountability is not enough for achieving team learning and subsequent team effectiveness. Rather there is a need to provide nursing teams with adequate time, autonomy, and be cautious with performance feedback, as the latter may motivate nurses to repeat routine work strategies rather than explore improved ones. © 2016 John Wiley & Sons Ltd.

  3. Hierarchical Motion Control for a Team of Humanoid Soccer Robots

    Directory of Open Access Journals (Sweden)

    Seung-Joon Yi

    2016-02-01

    Full Text Available Robot soccer has become an effective benchmarking problem for robotics research as it requires many aspects of robotics including perception, self localization, motion planning and distributed coordination to work in uncertain and adversarial environments. Especially with humanoid robots that lack inherent stability, a capable and robust motion controller is crucial for generating walking and kicking motions without losing balance. In this paper, we describe the details of a motion controller to control a team of humanoid soccer robots, which consists of a hierarchy of controllers with different time frames and abstraction levels. A low level controller governs the real time control of each joint angle, either using target joint angles or target endpoint transforms. A mid-level controller handles bipedal locomotion and balancing of the robot. A high level controller decides the long term behavior of the robot, and finally the team level controller coordinates the behavior of a group of robots by means of asynchronous communication between the robots. The suggested motion system has been successfully used by many humanoid robot teams at the RoboCup international robot soccer competitions, which has awarded us five successful championships in a row.

  4. Complex Problem Solving in Teams: The Impact of Collective Orientation on Team Process Demands

    Science.gov (United States)

    Hagemann, Vera; Kluge, Annette

    2017-01-01

    Complex problem solving is challenging and a high-level cognitive process for individuals. When analyzing complex problem solving in teams, an additional, new dimension has to be considered, as teamwork processes increase the requirements already put on individual team members. After introducing an idealized teamwork process model, that complex problem solving teams pass through, and integrating the relevant teamwork skills for interdependently working teams into the model and combining it with the four kinds of team processes (transition, action, interpersonal, and learning processes), the paper demonstrates the importance of fulfilling team process demands for successful complex problem solving within teams. Therefore, results from a controlled team study within complex situations are presented. The study focused on factors that influence action processes, like coordination, such as emergent states like collective orientation, cohesion, and trust and that dynamically enable effective teamwork in complex situations. Before conducting the experiments, participants were divided by median split into two-person teams with either high (n = 58) or low (n = 58) collective orientation values. The study was conducted with the microworld C3Fire, simulating dynamic decision making, and acting in complex situations within a teamwork context. The microworld includes interdependent tasks such as extinguishing forest fires or protecting houses. Two firefighting scenarios had been developed, which takes a maximum of 15 min each. All teams worked on these two scenarios. Coordination within the team and the resulting team performance were calculated based on a log-file analysis. The results show that no relationships between trust and action processes and team performance exist. Likewise, no relationships were found for cohesion. Only collective orientation of team members positively influences team performance in complex environments mediated by action processes such as

  5. Complex Problem Solving in Teams: The Impact of Collective Orientation on Team Process Demands.

    Science.gov (United States)

    Hagemann, Vera; Kluge, Annette

    2017-01-01

    Complex problem solving is challenging and a high-level cognitive process for individuals. When analyzing complex problem solving in teams, an additional, new dimension has to be considered, as teamwork processes increase the requirements already put on individual team members. After introducing an idealized teamwork process model, that complex problem solving teams pass through, and integrating the relevant teamwork skills for interdependently working teams into the model and combining it with the four kinds of team processes (transition, action, interpersonal, and learning processes), the paper demonstrates the importance of fulfilling team process demands for successful complex problem solving within teams. Therefore, results from a controlled team study within complex situations are presented. The study focused on factors that influence action processes, like coordination, such as emergent states like collective orientation, cohesion, and trust and that dynamically enable effective teamwork in complex situations. Before conducting the experiments, participants were divided by median split into two-person teams with either high ( n = 58) or low ( n = 58) collective orientation values. The study was conducted with the microworld C3Fire, simulating dynamic decision making, and acting in complex situations within a teamwork context. The microworld includes interdependent tasks such as extinguishing forest fires or protecting houses. Two firefighting scenarios had been developed, which takes a maximum of 15 min each. All teams worked on these two scenarios. Coordination within the team and the resulting team performance were calculated based on a log-file analysis. The results show that no relationships between trust and action processes and team performance exist. Likewise, no relationships were found for cohesion. Only collective orientation of team members positively influences team performance in complex environments mediated by action processes such as

  6. Complex Problem Solving in Teams: The Impact of Collective Orientation on Team Process Demands

    Directory of Open Access Journals (Sweden)

    Vera Hagemann

    2017-09-01

    Full Text Available Complex problem solving is challenging and a high-level cognitive process for individuals. When analyzing complex problem solving in teams, an additional, new dimension has to be considered, as teamwork processes increase the requirements already put on individual team members. After introducing an idealized teamwork process model, that complex problem solving teams pass through, and integrating the relevant teamwork skills for interdependently working teams into the model and combining it with the four kinds of team processes (transition, action, interpersonal, and learning processes, the paper demonstrates the importance of fulfilling team process demands for successful complex problem solving within teams. Therefore, results from a controlled team study within complex situations are presented. The study focused on factors that influence action processes, like coordination, such as emergent states like collective orientation, cohesion, and trust and that dynamically enable effective teamwork in complex situations. Before conducting the experiments, participants were divided by median split into two-person teams with either high (n = 58 or low (n = 58 collective orientation values. The study was conducted with the microworld C3Fire, simulating dynamic decision making, and acting in complex situations within a teamwork context. The microworld includes interdependent tasks such as extinguishing forest fires or protecting houses. Two firefighting scenarios had been developed, which takes a maximum of 15 min each. All teams worked on these two scenarios. Coordination within the team and the resulting team performance were calculated based on a log-file analysis. The results show that no relationships between trust and action processes and team performance exist. Likewise, no relationships were found for cohesion. Only collective orientation of team members positively influences team performance in complex environments mediated by action processes

  7. Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used in In Silico Trials

    Directory of Open Access Journals (Sweden)

    Fabio Galbusera

    2018-05-01

    Full Text Available In silico trials recently emerged as a disruptive technology, which may reduce the costs related to the development and marketing approval of novel medical technologies, as well as shortening their time-to-market. In these trials, virtual patients are recruited from a large database and their response to the therapy, such as the implantation of a medical device, is simulated by means of numerical models. In this work, we propose the use of generative adversarial networks to produce synthetic radiological images to be used in in silico trials. The generative models produced credible synthetic sagittal X-rays of the lumbar spine based on a simple sketch, and were able to generate sagittal radiological images of the trunk using coronal projections as inputs, and vice versa. Although numerous inaccuracies in the anatomical details may still allow distinguishing synthetic and real images in the majority of cases, the present work showed that generative models are a feasible solution for creating synthetic imaging data to be used in in silico trials of novel medical devices.

  8. Integrating Effects-Based and Attrition-Based Modeling

    National Research Council Canada - National Science Library

    DeGregorio, Edward A; Janssen, Raymond A; Wagenhals, Lee W; Messier, Richard H

    2004-01-01

    .... Modeling the NCW EBO process attempts to codify the belief structure and reasoning of adversaries and their cause-effect relationships with US and coalition actions, including mitigating undesired effects...

  9. The impact of team familiarity and team leader experience on team coordination errors: A panel analysis of professional basketball teams

    NARCIS (Netherlands)

    Sieweke, Jost; Zhao, B.

    2015-01-01

    To explore the dynamics involved in team coordination, we examine the impact of team familiarity and team leader experience on team coordination errors (TCEs). We argue that team familiarity has a U-shaped effect on TCEs. We study the moderating effects of team leader prior experience and team

  10. Leading multiple teams: average and relative external leadership influences on team empowerment and effectiveness.

    Science.gov (United States)

    Luciano, Margaret M; Mathieu, John E; Ruddy, Thomas M

    2014-03-01

    External leaders continue to be an important source of influence even when teams are empowered, but it is not always clear how they do so. Extending research on structurally empowered teams, we recognize that teams' external leaders are often responsible for multiple teams. We adopt a multilevel approach to model external leader influences at both the team level and the external leader level of analysis. In doing so, we distinguish the influence of general external leader behaviors (i.e., average external leadership) from those that are directed differently toward the teams that they lead (i.e., relative external leadership). Analysis of data collected from 451 individuals, in 101 teams, reporting to 25 external leaders, revealed that both relative and average external leadership related positively to team empowerment. In turn, team empowerment related positively to team performance and member job satisfaction. However, while the indirect effects were all positive, we found that relative external leadership was not directly related to team performance, and average external leadership evidenced a significant negative direct influence. Additionally, relative external leadership exhibited a significant direct positive influence on member job satisfaction as anticipated, whereas average external leadership did not. These findings attest to the value in distinguishing external leaders' behaviors that are exhibited consistently versus differentially across empowered teams. Implications and future directions for the study and management of external leaders overseeing multiple teams are discussed.

  11. Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations.

    Science.gov (United States)

    Brubaker, Chad; Jana, Suman; Ray, Baishakhi; Khurshid, Sarfraz; Shmatikov, Vitaly

    2014-01-01

    Modern network security rests on the Secure Sockets Layer (SSL) and Transport Layer Security (TLS) protocols. Distributed systems, mobile and desktop applications, embedded devices, and all of secure Web rely on SSL/TLS for protection against network attacks. This protection critically depends on whether SSL/TLS clients correctly validate X.509 certificates presented by servers during the SSL/TLS handshake protocol. We design, implement, and apply the first methodology for large-scale testing of certificate validation logic in SSL/TLS implementations. Our first ingredient is "frankencerts," synthetic certificates that are randomly mutated from parts of real certificates and thus include unusual combinations of extensions and constraints. Our second ingredient is differential testing: if one SSL/TLS implementation accepts a certificate while another rejects the same certificate, we use the discrepancy as an oracle for finding flaws in individual implementations. Differential testing with frankencerts uncovered 208 discrepancies between popular SSL/TLS implementations such as OpenSSL, NSS, CyaSSL, GnuTLS, PolarSSL, MatrixSSL, etc. Many of them are caused by serious security vulnerabilities. For example, any server with a valid X.509 version 1 certificate can act as a rogue certificate authority and issue fake certificates for any domain, enabling man-in-the-middle attacks against MatrixSSL and GnuTLS. Several implementations also accept certificate authorities created by unauthorized issuers, as well as certificates not intended for server authentication. We also found serious vulnerabilities in how users are warned about certificate validation errors. When presented with an expired, self-signed certificate, NSS, Safari, and Chrome (on Linux) report that the certificate has expired-a low-risk, often ignored error-but not that the connection is insecure against a man-in-the-middle attack. These results demonstrate that automated adversarial testing with frankencerts

  12. Consumer providers' experiences of recovery and concerns as members of a psychiatric multidisciplinary outreach team: A qualitative descriptive study from the Japan Outreach Model Project 2011-2014.

    Directory of Open Access Journals (Sweden)

    Yoshifumi Kido

    Full Text Available The objective of this study was to clarify consumer providers (CPs subjective experiences as members of a psychiatric multidisciplinary outreach team that provided services to individuals with a mental illness living in the community.A qualitative descriptive study was conducted through semi-structured interviews. Participants were clients hired as CPs in the Japanese Outreach Model Project from September 2011 until March 2014. Of the seventeen CPs, nine participated in this study. We looked at the CPs' subjective experiences of fulfillment and difficulty.In the process of providing services, CPs experienced both achievements and concerns. They had a sense of achievement by caring for their clients and they experienced that they themselves were recovering. They were also concerned about having inadequate knowledge and skills to provide psychiatric services to their clients. Further, there were concerns about their dual role on the multidisciplinary team and being support staff while they were still using mental health services themselves.The results show that the activities of CPs included fulfillment, recovery, and dilemmas. Clarifications will likely contribute to an increase in understanding and cooperation between CPs and other professionals with whom they work. Further studies are needed to investigate policies related to mental health consumers who are also providers of mental health services.

  13. Interdicting an Adversary’s Economy Viewed As a Trade Sanction Inoperability Input Output Model

    Science.gov (United States)

    2017-03-01

    Agriculture, hunting, forestry and fishing YES $4,578,424,000 2 TTL_C10T14: Mining and quarrying YES $53,345,194,000 3 TTL_C15T16: Food products, beverages ...22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. 1. AGENCY USE ONLY (Leave...Wei, Dong, and Sun (2009) use the IIM to study supply chain risk management and mitigation strategies. They use a method called the “ordered

  14. Productivity in Knowledge Worker Teams

    OpenAIRE

    Moreno Romero, Ana María; Mahou Fernández, Ángel; Varanki, H.

    2013-01-01

    The use of Information and Communication Technologies in work pro- cesses has not brought the expected productivity improvement. Some studies even suggest that the always-on model decreases productivity. This article proposes work teams as a new unit for knowledge worker productivity analysis in organizations. Organizations? ability to adopt new analysis measures is analyzed in three case studies.

  15. Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.

    Science.gov (United States)

    Harrison, David A; Patel, Krishna; Nixon, Edel; Soar, Jasmeet; Smith, Gary B; Gwinnutt, Carl; Nolan, Jerry P; Rowan, Kathryn M

    2014-08-01

    The National Cardiac Arrest Audit (NCAA) is the UK national clinical audit for in-hospital cardiac arrest. To make fair comparisons among health care providers, clinical indicators require case mix adjustment using a validated risk model. The aim of this study was to develop and validate risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team in UK hospitals. Risk models for two outcomes-return of spontaneous circulation (ROSC) for greater than 20min and survival to hospital discharge-were developed and validated using data for in-hospital cardiac arrests between April 2011 and March 2013. For each outcome, a full model was fitted and then simplified by testing for non-linearity, combining categories and stepwise reduction. Finally, interactions between predictors were considered. Models were assessed for discrimination, calibration and accuracy. 22,479 in-hospital cardiac arrests in 143 hospitals were included (14,688 development, 7791 validation). The final risk model for ROSC>20min included: age (non-linear), sex, prior length of stay in hospital, reason for attendance, location of arrest, presenting rhythm, and interactions between presenting rhythm and location of arrest. The model for hospital survival included the same predictors, excluding sex. Both models had acceptable performance across the range of measures, although discrimination for hospital mortality exceeded that for ROSC>20min (c index 0.81 versus 0.72). Validated risk models for ROSC>20min and hospital survival following in-hospital cardiac arrest have been developed. These models will strengthen comparative reporting in NCAA and support local quality improvement. Copyright © 2014 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

  16. Pedagogical innovation in teacher teams

    DEFF Research Database (Denmark)

    Weitze, Charlotte Lærke

    2015-01-01

    This paper presents findings from a longitudinal design-based research project examining how to enable reflection and pedagogical innovation in teacher teams. The article identifies and analyses the teachers’ learning trajectories and innovative strategies when working together in the IT...... learning designs, the research aims to clarify what kind of knowledge is being developed and shared in the teacher teams, and how this contributes to the organisational learning process. The context is Global Classroom, an innovative synchronous hybrid videoconference concept, where adult students can......-pedagogical Think Tank for Teacher Teams (after this: ITP4T) (Weitze, 2014a), a competence development model, which was developed in an earlier phase of the research project. By using theoretical lenses from innovative knowledge development frameworks to examine the teachers’ utterances, interactions and new...

  17. Rapid response teams: qualitative analysis of their effectiveness.

    Science.gov (United States)

    Leach, Linda Searle; Mayo, Ann M

    2013-05-01

    Multidisciplinary rapid response teams focus on patients' emergent needs and manage critical situations to prevent avoidable deaths. Although research has focused primarily on outcomes, studies of the actual team effectiveness within the teams from multiple perspectives have been limited. To describe effectiveness of rapid response teams in a large teaching hospital in California that had been using such teams for 5 years. The grounded-theory method was used to discover if substantive theory might emerge from interview and/or observational data. Purposeful sampling was used to conduct in-person semistructured interviews with 17 key informants. Convenience sampling was used for the 9 observed events that involved a rapid response team. Analysis involved use of a concept or indicator model to generate empirical results from the data. Data were coded, compared, and contrasted, and, when appropriate, relationships between concepts were formed. Results Dimensions of effective team performance included the concepts of organizational culture, team structure, expertise, communication, and teamwork. Professionals involved reported that rapid response teams functioned well in managing patients at risk or in crisis; however, unique challenges were identified. Teams were loosely coupled because of the inconsistency of team members from day to day. Team members had little opportunity to develop relationships or team skills. The need for team training may be greater than that among teams that work together regularly under less time pressure to perform. Communication between team members and managing a crisis were critical aspects of an effective response team.

  18. Analysis of Adaptive Team Concept through Simulation Models: A Survey (toetsing van adaptieve teamconcepten door middel van simulatiemodellen: een verkenning)

    National Research Council Canada - National Science Library

    van den Broek, J

    2006-01-01

    .... The primary goal of the simulation model is to determine, which organizational structures best fit the demands of different mission environments and how and when these changes are best effectuated...

  19. NICE-Accredited Commissioning Guidance for Weight Assessment and Management Clinics: a Model for a Specialist Multidisciplinary Team Approach for People with Severe Obesity.

    Science.gov (United States)

    Welbourn, Richard; Dixon, John; Barth, Julian H; Finer, Nicholas; Hughes, Carly A; le Roux, Carel W; Wass, John

    2016-03-01

    Despite increasing prevalence of obesity, no country has successfully implemented comprehensive pathways to provide advice to all the severely obese patients that seek treatment. We aimed to formulate pathways for referral into and out of weight assessment and management clinics (WAMCs) that include internal medicine/primary care physicians as part of a multidisciplinary team that could provide specialist advice and interventions, including referral for bariatric surgery. Using a National Institute of Health and Care Excellence (NICE)-accredited process, a Guidance Development Group conducted a literature search identifying existing WAMCs. As very few examples of effective structures and clinical pathways existed, the current evidence base for optimal assessment and management of bariatric surgery patients was used to reach a consensus. The model we describe could be adopted internationally by health services to manage severely obese patients.

  20. Planning meeting to form the CMSN Team: Building a unified computational model for the resonant X-ray scattering of strongly correlated materials. Final report

    International Nuclear Information System (INIS)

    van Veenendaal, M.

    2008-01-01

    The planning meeting was held May 21-23 2008 at Argonne National Laboratory (ANL). The purpose of the meeting was to establish a network on building computational model for resonant elastic and inelastic x-ray scattering. This course of action was recommended by program officer Dale Koelling after the initial submission of a proposal for a Computational Materials Science Network to Basic Energy Sciences. The meeting consisted of talks and discussion. At the end of the meeting three subgroups were formed. After the successful formation of the team, a new proposal was written which was funded by BES. Since this was a planning meeting there were no proceedings. The program and titles of talks are given.