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...

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.

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.

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

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

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

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.

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.

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.

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.

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.

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.

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.

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...

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....

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...

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

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.

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.

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.

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

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)

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.

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

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.

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.

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.

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.

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.

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...

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

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.

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...

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...

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.

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)

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.

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.

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

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.

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 $\\mathcal{FRDE}$.

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…

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

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.

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...

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...

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...

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.

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

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

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

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)

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.

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.

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.

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...

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.

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.

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…

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.

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

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

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.

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.

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

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

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.

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.

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

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

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.

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

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.

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

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

I feel good whether my friends win or my foes lose: brain mechanisms underlying feeling similarity.

Science.gov (United States)

Aue, Tatjana

2014-07-01

People say they enjoy both seeing a preferred social group succeed and seeing an adversary social group fail. At the same time, they state they dislike seeing a preferred social group fail and seeing an adversary social group succeed. The current magnetic resonance imaging study investigated whether-and if so, how-such similarities in reported feeling states are reflected in neural activities. American football fans anticipated success and failure situations for their favorite or their adversary teams. The data support the idea that feeling similarities and divergences expressed in verbal reports carry with them significant neural similarities and differences, respectively. Desired (favorite team likely to win and adversary team likely to lose) rather than undesired (favorite team likely to lose and adversary team likely to win) outcomes were associated with heightened activity in the supramarginal gyrus, posterior cingulate cortex, insula, and cerebellum. Precuneus activity additionally distinguished anticipated desirable outcomes for favorite versus adversary teams. Copyright © 2014 Elsevier Ltd. All rights reserved.

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)

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

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

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...

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.

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...

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

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

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…

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.

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...

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

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.

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…

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...

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.

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

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…

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

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.

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.…

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.

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…

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

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…

Enhanced Training for Cyber Situational Awareness in Red versus Blue Team Exercises

Energy Technology Data Exchange (ETDEWEB)

Carbajal, Armida J. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Human Factors and Statistics; Stevens-Adams, Susan Marie [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Risk and Reliability Analysis; Silva, Austin Ray [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Cognitive Modeling; Nauer, Kevin S. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Cyber Security Technologies; Anderson, Benjamin Robert [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Assurance Technologies and Assessment; Forsythe, James Chris [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Cognitive Modeling

2012-09-01

This report summarizes research conducted through the Sandia National Laboratories Enhanced Training for Cyber Situational Awareness in Red Versus Blue Team Exercises Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding concerning how to best structure training for cyber defenders. Two modes of training were considered. The baseline training condition (Tool-Based training) was based on current practices where classroom instruction focuses on the functions of a software tool with various exercises in which students apply those functions. In the second training condition (Narrative-Based training), classroom instruction addressed software functions, but in the context of adversary tactics and techniques. It was hypothesized that students receiving narrative-based training would gain a deeper conceptual understanding of the software tools and this would be reflected in better performance within a red versus blue team exercise.

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

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.

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.

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.

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.

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.

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.

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.

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…

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.

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.

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.

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.

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.

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.

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...

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.

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.

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 ...

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…

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.

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

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.

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.

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.

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

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.

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

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

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.

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.

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

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.

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...

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

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

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

[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.

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

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.

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...

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 ...

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

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…

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

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.

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.

The Adversarial Principle and the5º Paragraph of the Article 307 of the TCE-ES Res. 261/2013

Directory of Open Access Journals (Sweden)

Rafael Ambrósio Gava

2015-12-01

Full Text Available This paper aims to analyze the implications of the adversarial principle in the administrative process that are judged by the TCE-ES under summary rite. More specifically, we examine if it is possible to judge the process merit without the accused's subpoena. Throughout the study, the characteristics of the Courts of Accounts are explained, according to the doctrine and jurisprudence, as well their prerogative of precautionary action, recognized by the theory of implied powers. In addition, the systematic of the summary procedure, by which develop the processes in which there are precautionary action, is studied, from the specific legislation. At last, the summary procedure is analyzed, specifically with respect to the art. 307, §5º, Res. TCE-ES 261/2013, from the perspective of the adversarial principle, understood, based on the doctrine teaching and according to the New Code of Civil Procedure, as the right of knowledge and of influence the debate. We demonstrated, based on literature and through a deductive argumentative reasoning, that the TEC -ES cannot do disregard the adversarial principle, otherwise there would be violation of this fundamental right.

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

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.

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

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.

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.

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.

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...

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 ...

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

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.

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.

The relationship between servant leadership, affective team commitment and team effectiveness

Directory of Open Access Journals (Sweden)

Bright Mahembe

2013-04-01

Full Text Available Orientation: Value-based leadership practices play a critical role in teamwork in high-performance organisations.Research purpose: The aim of the study was to empirically validate a theoretical model explicating the structural relationships between servant leadership, affective team commitment and team effectiveness.Motivation for the study: The increased eliance on teams for production calls for an analysis of the role of follower-focused leadership practices in enhancing eam effectiveness.Research design, approach and method: A non-probabilityand multicultural sample consisting of 202 primary and secondary school teachers was drawn from 32 chools in the Western Cape Province of South Africa.Main findings: High levels of reliability were found and uni-dimensionality of the subscales was demonstrated through exploratory factor analyses. Good fit with the data was found for the measurement models through confirmatory factor analyses. Structural equation modelling showed a reasonable fit for the structural model. Positive relationships were found amongst servant leadership, team effectiveness and affective team commitment. Standard multiple regression analysis showed that affective team commitment moderated the relationship between servant leadership and team effectiveness.Practical/managerial implications: The findings emphasise the central role played by servant leadership and affective team commitment in team performance. Servant leadership fosters team effectiveness if employees feel committed to their work team.Contribution/value-add: The servant leadership style alone may not be a sufficient condition for team effectiveness; other variables, such as affective team commitment, also play a role. The study suggested specific variables that may also combine with leadership to positively influence team effectiveness.

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…

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...

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

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…

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

The relationship between servant leadership, affective team commitment and team effectiveness

Directory of Open Access Journals (Sweden)

Bright Mahembe

2013-04-01

Full Text Available Orientation: Value-based leadership practices play a critical role in teamwork in high-performance organisations. Research purpose: The aim of the study was to empirically validate a theoretical model explicating the structural relationships between servant leadership, affective team commitment and team effectiveness. Motivation for the study: The increased eliance on teams for production calls for an analysis of the role of follower-focused leadership practices in enhancing eam effectiveness. Research design, approach and method: A non-probabilityand multicultural sample consisting of 202 primary and secondary school teachers was drawn from 32 chools in the Western Cape Province of South Africa. Main findings: High levels of reliability were found and uni-dimensionality of the subscales was demonstrated through exploratory factor analyses. Good fit with the data was found for the measurement models through confirmatory factor analyses. Structural equation modelling showed a reasonable fit for the structural model. Positive relationships were found amongst servant leadership, team effectiveness and affective team commitment. Standard multiple regression analysis showed that affective team commitment moderated the relationship between servant leadership and team effectiveness. Practical/managerial implications: The findings emphasise the central role played by servant leadership and affective team commitment in team performance. Servant leadership fosters team effectiveness if employees feel committed to their work team. Contribution/value-add: The servant leadership style alone may not be a sufficient condition for team effectiveness; other variables, such as affective team commitment, also play a role. The study suggested specific variables that may also combine with leadership to positively influence team effectiveness.

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...

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.

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.

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 ...

Cyber situation awareness: modeling detection of cyber attacks with instance-based learning theory.

Science.gov (United States)

Dutt, Varun; Ahn, Young-Suk; Gonzalez, Cleotilde

2013-06-01

To determine the effects of an adversary's behavior on the defender's accurate and timely detection of network threats. Cyber attacks cause major work disruption. It is important to understand how a defender's behavior (experience and tolerance to threats), as well as adversarial behavior (attack strategy), might impact the detection of threats. In this article, we use cognitive modeling to make predictions regarding these factors. Different model types representing a defender, based on Instance-Based Learning Theory (IBLT), faced different adversarial behaviors. A defender's model was defined by experience of threats: threat-prone (90% threats and 10% nonthreats) and nonthreat-prone (10% threats and 90% nonthreats); and different tolerance levels to threats: risk-averse (model declares a cyber attack after perceiving one threat out of eight total) and risk-seeking (model declares a cyber attack after perceiving seven threats out of eight total). Adversarial behavior is simulated by considering different attack strategies: patient (threats occur late) and impatient (threats occur early). For an impatient strategy, risk-averse models with threat-prone experiences show improved detection compared with risk-seeking models with nonthreat-prone experiences; however, the same is not true for a patient strategy. Based upon model predictions, a defender's prior threat experiences and his or her tolerance to threats are likely to predict detection accuracy; but considering the nature of adversarial behavior is also important. Decision-support tools that consider the role of a defender's experience and tolerance to threats along with the nature of adversarial behavior are likely to improve a defender's overall threat detection.

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...

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)

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...

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…

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.

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…

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).

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.

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

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.

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…

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

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

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.

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.

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.

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.

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.

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.

Achieving the physical limits of the bounded-storage model

International Nuclear Information System (INIS)

Mandayam, Prabha; Wehner, Stephanie

2011-01-01

Secure two-party cryptography is possible if the adversary's quantum storage device suffers imperfections. For example, security can be achieved if the adversary can store strictly less then half of the qubits transmitted during the protocol. This special case is known as the bounded-storage model, and it has long been an open question whether security can still be achieved if the adversary's storage were any larger. Here, we answer this question positively and demonstrate a two-party protocol which is secure as long as the adversary cannot store even a small fraction of the transmitted pulses. We also show that security can be extended to a larger class of noisy quantum memories.

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.

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.

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.

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.

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

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.

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

'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.

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.

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...

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...

Study on team evaluation (4). Reliability and validity of questionnaire survey-based team work evaluation method of power plant operator team

International Nuclear Information System (INIS)

Sasou, Kunihide; Hirose, Ayako; Misawa, Ryou; Yamaguchi, Hiroyuki

2006-01-01

The series of this study describes the necessity of the evaluation of team work from two aspects of operator's behavior and operators' mind. The authors propose Team Work Element Model which consists of necessary elements to build high performance team. This report discusses a method to evaluate team work from the second aspect, that is, competency trust, competition, for-the team spirit, etc. The authors survey the previous studies on psychological measures and organize a set of questions to evaluate 10 team work sub elements that are the parts of Team Work Element Model. The factor analysis shows that this set of questions is consists of 13 factors such as task-oriented leadership, harmony-oriented team atmosphere, etc. Close examination of the questions in each factor shows that 8 of 10 team work sub elements can be evaluated by this questionnaire. In addition, this questionnaire comprises scales additional 8 scales such as job satisfaction, leadership, etc. As a result, it is possible to evaluate team work from more comprehensive view points. (author)

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....

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.

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.

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

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.

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…

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.

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.

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)

Nuclear facility safeguards systems modeling using discrete event simulation

International Nuclear Information System (INIS)

Engi, D.

1977-01-01

The threat of theft or dispersal of special nuclear material at a nuclear facility is treated by studying the temporal relationships between adversaries having authorized access to the facility (insiders) and safeguards system events by using a GASP IV discrete event simulation. The safeguards system events--detection, assessment, delay, communications, and neutralization--are modeled for the general insider adversary strategy which includes degradation of the safeguards system elements followed by an attempt to steal or disperse special nuclear material. The performance measure used in the analysis is the estimated probability of safeguards system success in countering the adversary based upon a predetermined set of adversary actions. An exemplary problem which includes generated results is presented for a hypothetical nuclear facility. The results illustrate representative information that could be utilized by safeguards decision-makers

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.

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.

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 ...

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.

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.

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 ...

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 ...

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....

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

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....

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....

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

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...

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.

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.

Task-Team-Process: The Development of Shared Representations in a Engineeing Design Team

DEFF Research Database (Denmark)

Badke-Schaub, Petra; Lauche, Kristina; Neumann, Andre

2009-01-01

In this article, an analysis of the development of team mental models in two engineering meetings is described. The authors present a two-stage model of the development of sharedness in teams, which formed the basis for a communication analysis of both meetings. The transcripts of the meetings were...... categorised referring to underlying cognitive acts and design strategies. The results are largely consistent with the assumptions of the model indicating a lack of sharedness. This was confirmed by changes of frequencies linked to task-, team-, and processrelated cognitive acts within and between the two...

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.

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).

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.

Physical Protection System Design Analysis against Insider Threat based on Game Theoretic Modeling

Energy Technology Data Exchange (ETDEWEB)

Kim, Kyo-Nam; Suh, Young-A; Yim, Man-Sung [KAIST, Daejeon (Korea, Republic of); Schneider, Erich [The University of Texas, Austin (United States)

2015-05-15

This study explores the use of game-theoretic modeling of physical protection analysis by incorporating the implications of an insider threat. The defender-adversary interaction along with the inclusion of an insider is demonstrated using a simplified test case problem at an experimental fast reactor system. Non-detection probability and travel time are used as a baseline of physical protection parameters in this model. As one of the key features of the model is its ability to choose among security upgrades given the constraints of a budget, the study also performed cost benefit analysis for security upgrades options. In this study, we analyzed the expected adversarial path and security upgrades with a limited budget with insider threat modeled as increasing the non-detection probability. Our test case problem categorized three types of adversary paths assisted by the insider and derived the largest insider threat in terms of the budget for security upgrades. More work needs to be done to incorporate complex dimensions of insider threats, which include but are not limited to: a more realistic mapping of insider threat, accounting for information asymmetry between the adversary, insider, and defenders, and assignment of more pragmatic parameter values.

Physical Protection System Design Analysis against Insider Threat based on Game Theoretic Modeling

International Nuclear Information System (INIS)

Kim, Kyo-Nam; Suh, Young-A; Yim, Man-Sung; Schneider, Erich

2015-01-01

This study explores the use of game-theoretic modeling of physical protection analysis by incorporating the implications of an insider threat. The defender-adversary interaction along with the inclusion of an insider is demonstrated using a simplified test case problem at an experimental fast reactor system. Non-detection probability and travel time are used as a baseline of physical protection parameters in this model. As one of the key features of the model is its ability to choose among security upgrades given the constraints of a budget, the study also performed cost benefit analysis for security upgrades options. In this study, we analyzed the expected adversarial path and security upgrades with a limited budget with insider threat modeled as increasing the non-detection probability. Our test case problem categorized three types of adversary paths assisted by the insider and derived the largest insider threat in terms of the budget for security upgrades. More work needs to be done to incorporate complex dimensions of insider threats, which include but are not limited to: a more realistic mapping of insider threat, accounting for information asymmetry between the adversary, insider, and defenders, and assignment of more pragmatic parameter values

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…

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.

Team Proactivity as a Linking Mechanism between Team Creative Efficacy, Transformational Leadership, and Risk-Taking Norms and Team Creative Performance

Science.gov (United States)

Shin, Yuhyung; Eom, Chanyoung

2014-01-01

Despite the growing body of research on creativity in team contexts, very few attempts have been made to explore the team-level antecedents and the mediating processes of team creative performance on the basis of a theoretical framework. To address this gap, drawing on Paulus and Dzindolet's (2008) group creativity model, this study proposed team…

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.

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.

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.

[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".

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.

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

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.

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…

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.

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

[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.

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

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).

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.

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).

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.

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.

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.

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

A multidisciplinary approach to team nursing within a low secure service: the team leader role.

Science.gov (United States)

Nagi, Claire; Davies, Jason; Williams, Marie; Roberts, Catherine; Lewis, Roger

2012-01-01

This article critically examines the clinical utility of redesigning a nursing practice model within the Intensive Support and Intervention Service, a new low secure mental health facility in the United Kingdom. Specifically, the "team nursing" approach to care delivery has been adapted to consist of multidisciplinary team leaders as opposed to nursing team leaders. The authors describe the role, properties, and functions of the multidisciplinary team leader approach. The authors provide examples of the benefits and challenges posed to date and the ways in which potential barriers have been overcome. Nursing care leadership can be provided by multidisciplinary staff. An adapted model of team nursing can be implemented in a low secure setting. © 2011 Wiley Periodicals, Inc.

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

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

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

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.

How Team-Level and Individual-Level Conflict Influences Team Commitment: A Multilevel Investigation

Science.gov (United States)

Lee, Sanghyun; Kwon, Seungwoo; Shin, Shung J.; Kim, MinSoo; Park, In-Jo

2018-01-01

We investigate how two different types of conflict (task conflict and relationship conflict) at two different levels (individual-level and team-level) influence individual team commitment. The analysis was conducted using data we collected from 193 employees in 31 branch offices of a Korean commercial bank. The relationships at multiple levels were tested using hierarchical linear modeling (HLM). The results showed that individual-level relationship conflict was negatively related to team commitment while individual-level task conflict was not. In addition, both team-level task and relationship conflict were negatively associated with team commitment. Finally, only team-level relationship conflict significantly moderated the relationship between individual-level relationship conflict and team commitment. We further derive theoretical implications of these findings. PMID:29387033

How Team-Level and Individual-Level Conflict Influences Team Commitment: A Multilevel Investigation

Directory of Open Access Journals (Sweden)

Sanghyun Lee

2018-01-01

Full Text Available We investigate how two different types of conflict (task conflict and relationship conflict at two different levels (individual-level and team-level influence individual team commitment. The analysis was conducted using data we collected from 193 employees in 31 branch offices of a Korean commercial bank. The relationships at multiple levels were tested using hierarchical linear modeling (HLM. The results showed that individual-level relationship conflict was negatively related to team commitment while individual-level task conflict was not. In addition, both team-level task and relationship conflict were negatively associated with team commitment. Finally, only team-level relationship conflict significantly moderated the relationship between individual-level relationship conflict and team commitment. We further derive theoretical implications of these findings.

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...

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

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…

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

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

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.

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

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.

Trauma teams and time to early management during in situ trauma team training.

Science.gov (United States)

Härgestam, Maria; Lindkvist, Marie; Jacobsson, Maritha; Brulin, Christine; Hultin, Magnus

2016-01-29

To investigate the association between the time taken to make a decision to go to surgery and gender, ethnicity, years in profession, experience of trauma team training, experience of structured trauma courses and trauma in the trauma team, as well as use of closed-loop communication and leadership styles during trauma team training. In situ trauma team training. The patient simulator was preprogrammed to represent a severely injured patient (injury severity score: 25) suffering from hypovolemia due to external trauma. An emergency room in an urban Scandinavian level one trauma centre. A total of 96 participants were divided into 16 trauma teams. Each team consisted of six team members: one surgeon/emergency physician (designated team leader), one anaesthesiologist, one registered nurse anaesthetist, one registered nurse from the emergency department, one enrolled nurse from the emergency department and one enrolled nurse from the operating theatre. HRs with CIs (95% CI) for the time taken to make a decision to go to surgery was computed from a Cox proportional hazards model. Three variables remained significant in the final model. Closed-loop communication initiated by the team leader increased the chance of a decision to go to surgery (HR: 3.88; CI 1.02 to 14.69). Only 8 of the 16 teams made the decision to go to surgery within the timeframe of the trauma team training. Conversely, call-outs and closed-loop communication initiated by the team members significantly decreased the chance of a decision to go to surgery, (HR: 0.82; CI 0.71 to 0.96, and HR: 0.23; CI 0.08 to 0.71, respectively). Closed-loop communication initiated by the leader appears to be beneficial for teamwork. In contrast, a high number of call-outs and closed-loop communication initiated by team members might lead to a communication overload. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

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...

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

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...

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

One Big Happy Family? Unraveling the Relationship between Shared Perceptions of Team Psychological Contracts, Person-Team Fit and Team Performance.

Science.gov (United States)

Gibbard, Katherine; Griep, Yannick; De Cooman, Rein; Hoffart, Genevieve; Onen, Denis; Zareipour, Hamidreza

2017-01-01

With the knowledge that team work is not always associated with high(er) performance, we draw from the Multi-Level Theory of Psychological Contracts, Person-Environment Fit Theory, and Optimal Distinctiveness Theory to study shared perceptions of psychological contract (PC) breach in relation to shared perceptions of complementary and supplementary fit to explain why some teams perform better than other teams. We collected three repeated survey measures in a sample of 128 respondents across 46 teams. After having made sure that we met all statistical criteria, we aggregated our focal variables to the team-level and analyzed our data by means of a longitudinal three-wave autoregressive moderated-mediation model in which each relationship was one-time lag apart. We found that shared perceptions of PC breach were directly negatively related to team output and negatively related to perceived team member effectiveness through a decrease in shared perceptions of supplementary fit. However, we also demonstrated a beneficial process in that shared perceptions of PC breach were positively related to shared perceptions of complementary fit, which in turn were positively related to team output. Moreover, best team output appeared in teams that could combine high shared perceptions of complementary fit with modest to high shared perceptions of supplementary fit. Overall, our findings seem to indicate that in terms of team output there may be a bright side to perceptions of PC breach and that perceived person-team fit may play an important role in this process.

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...

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.

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.

Team structure and regulatory focus: the impact of regulatory fit on team dynamic.

Science.gov (United States)

Dimotakis, Nikolaos; Davison, Robert B; Hollenbeck, John R

2012-03-01

We report a within-teams experiment testing the effects of fit between team structure and regulatory task demands on task performance and satisfaction through average team member positive affect and helping behaviors. We used a completely crossed repeated-observations design in which 21 teams enacted 2 tasks with different regulatory focus characteristics (prevention and promotion) in 2 organizational structures (functional and divisional), resulting in 84 observations. Results suggested that salient regulatory demands inherent in the task interacted with structure to determine objective and subjective team-level outcomes, such that functional structures were best suited to (i.e., had best fit with) tasks with a prevention regulatory focus and divisional structures were best suited to tasks with a promotion regulatory focus. This contingency finding integrates regulatory focus and structural contingency theories, and extends them to the team level with implications for models of performance, satisfaction, and team dynamics.

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…

[Developing team reflexivity as a learning and working tool for medical teams].

Science.gov (United States)

Riskin, Arieh; Bamberger, Peter

2014-01-01

Team reflexivity is a collective activity in which team members review their previous work, and develop ideas on how to modify their work behavior in order to achieve better future results. It is an important learning tool and a key factor in explaining the varying effectiveness of teams. Team reflexivity encompasses both self-awareness and agency, and includes three main activities: reflection, planning, and adaptation. The model of briefing-debriefing cycles promotes team reflexivity. Its key elements include: Pre-action briefing--setting objectives, roles, and strategies the mission, as well as proposing adaptations based on what was previously learnt from similar procedures; Post-action debriefing--reflecting on the procedure performed and reviewing the extent to which objectives were met, and what can be learnt for future tasks. Given the widespread attention to team-based work systems and organizational learning, efforts should be made toward ntroducing team reflexivity in health administration systems. Implementation could be difficult because most teams in hospitals are short-lived action teams formed for a particular event, with limited time and opportunity to consciously reflect upon their actions. But it is precisely in these contexts that reflexive processes have the most to offer instead of the natural impulsive collective logics. Team reflexivity suggests a potential solution to the major problems of iatorgenesis--avoidable medical errors, as it forces all team members to participate in a reflexive process together. Briefing-debriefing technology was studied mainly in surgical teams and was shown to enhance team-based learning and to improve quality-related outcomes and safety.

One Big Happy Family? Unraveling the Relationship between Shared Perceptions of Team Psychological Contracts, Person-Team Fit and Team Performance

Directory of Open Access Journals (Sweden)

Katherine Gibbard

2017-11-01

Full Text Available With the knowledge that team work is not always associated with high(er performance, we draw from the Multi-Level Theory of Psychological Contracts, Person-Environment Fit Theory, and Optimal Distinctiveness Theory to study shared perceptions of psychological contract (PC breach in relation to shared perceptions of complementary and supplementary fit to explain why some teams perform better than other teams. We collected three repeated survey measures in a sample of 128 respondents across 46 teams. After having made sure that we met all statistical criteria, we aggregated our focal variables to the team-level and analyzed our data by means of a longitudinal three-wave autoregressive moderated-mediation model in which each relationship was one-time lag apart. We found that shared perceptions of PC breach were directly negatively related to team output and negatively related to perceived team member effectiveness through a decrease in shared perceptions of supplementary fit. However, we also demonstrated a beneficial process in that shared perceptions of PC breach were positively related to shared perceptions of complementary fit, which in turn were positively related to team output. Moreover, best team output appeared in teams that could combine high shared perceptions of complementary fit with modest to high shared perceptions of supplementary fit. Overall, our findings seem to indicate that in terms of team output there may be a bright side to perceptions of PC breach and that perceived person-team fit may play an important role in this process.

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

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.

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.

Team Mentoring for Interdisciplinary Team Science: Lessons From K12 Scholars and Directors.

Science.gov (United States)

Guise, Jeanne-Marie; Geller, Stacie; Regensteiner, Judith G; Raymond, Nancy; Nagel, Joan

2017-02-01

Mentoring is critical for academic success. As science transitions to a team science model, team mentoring may have advantages. The goal of this study was to understand the process, benefits, and challenges of team mentoring relating to career development and research. A national survey was conducted of Building Interdisciplinary Research Careers in Women's Health (BIRCWH) program directors-current and former scholars from 27 active National Institutes of Health (NIH)-funded BIRCWH NIH K12 programs-to characterize and understand the value and challenges of the team approach to mentoring. Quantitative data were analyzed descriptively, and qualitative data were analyzed thematically. Responses were received from 25/27 (93%) program directors, 78/108 (72%) current scholars, and 91/162 (56%) former scholars. Scholars reported that team mentoring was beneficial to their career development (152/169; 90%) and research (148/169; 88%). Reported advantages included a diversity of opinions, expanded networking, development of stronger study designs, and modeling of different career paths. Challenges included scheduling and managing conflicting opinions. Advice by directors offered to junior faculty entering team mentoring included the following: not to be intimidated by senior mentors, be willing to navigate conflicting advice, be proactive about scheduling and guiding discussions, have an open mind to different approaches, be explicit about expectations and mentors' roles (including importance of having a primary mentor to help navigate discussions), and meet in person as a team. These findings suggest that interdisciplinary/interprofessional team mentoring has many important advantages, but that skills are required to optimally utilize multiple perspectives.

Loss Aversion, Team Relocations, and Major League Expansion

OpenAIRE

Humphreys, Brad; Zhou, Li

2014-01-01

Professional sports teams receive large public subsidies for new facility construction. Empirical research suggests that these subsidies cannot be justified by tangible or intangible economic benefits. We develop a model of bargaining between local governments and teams over subsidies that includes league expansion decisions. The model features loss aversion by fans that captures lost utility when a team leaves a city. The model predicts that teams exploit this loss aversion to extract larger...

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)

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

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.

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...

Team health, an assessment approach to engage first year students in cross-cultural and cross-discipline teams towards more effective team-working

Directory of Open Access Journals (Sweden)

Kathy Egea

Full Text Available Specialists who work in a globalised environment, need to work in teams, if they are to be continuously effective. The challenge for IT educators is to design and implement inter-cultural teamwork practices into their curriculum. Investigating this challenge, this case study describes Team Health, an assessment approach designed to skill students to be more effective in team working in cross-cultural and cross-discipline teams. The educational context is teamwork practice within a first year introductory web design course. Framed by Saunders\\'s virtual team lifecycle model (relationship building and team processes and Hofstede\\'s cultural dimensions (communication and working cross-culturally, the assessment approach utilises reflective and iterative strategies to support team working. At three points in the semester, students complete a survey on these four concepts, identify team strengths and weaknesses from the results of the surveys and work towards addressing one team weakness. The final assessment activity requires students to reflect on team working for the semester. Key attributes for effective team working are identified from the three surveys and the final reflective summaries. This paper compares course outcomes such as team cohesion and student grades to the previous course offering and shows that with the introduction of Team Health, the more complex student cohorts under this study achieve equally well. It is concluded that the guided reflective practices underpinning Team Health can prepare students for first year approaches to teamwork, and thereby provide starting points for working in future global teams where members are both culturally diverse and from different discipline areas.

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

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.

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…

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.

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…

Exploring the concept of a team approach to wound care: Managing wounds as a team.

Science.gov (United States)

Moore, Zena; Butcher, Gillian; Corbett, Lisa Q; McGuiness, William; Snyder, Robert J; van Acker, Kristien

2014-05-01

Background - The growing prevalence and incidence of nonhealing acute and chronic wounds is a worrying concern. A major challenge is the lack of united services aimed at addressing the complex needs of individuals with wounds. However, the WHO argues that interprofessional collaboration in education and practice is key to providing the best patient care, enhancing clinical and health-related outcomes and strengthening the health system. It is based on this background that the team approach to wound care project was conceptualised. The project was jointly initiated and realised by the Association for the Advancement of Wound Care (AAWC-USA), the Australian Wound Management Association (AWMA) and the European Wound Management Association (EWMA). Aim - The aim of this project was to develop a universal model for the adoption of a team approach to wound care. Objective The overarching objective of this project was to provide recommendations for implementing a team approach to wound care within all clinical settings and through this to develop a model for advocating the team approach toward decision makers in national government levels. Method An integrative literature review was conducted. Using this knowledge, the authors arrived at a consensus on the most appropriate model to adopt and realise a team approach to wound care. Results - Eighty four articles met the inclusion criteria. Following data extraction, it was evident that none of the articles provided a definition for the terms multidisciplinary, interdisciplinary or transdisciplinary in the context of wound care. Given this lack of clarity within the wound care literature, the authors have here developed a Universal Model for the Team Approach to Wound Care to fill this gap in our current understanding. Conclusion - We advocate that the patient should be at the heart of all decision-making, as working with the Universal Model for the Team Approach to Wound Care begins with the needs of the patient. To

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.

Post-Westgate SWAT : C4ISTAR Architectural Framework for Autonomous Network Integrated Multifaceted Warfighting Solutions Version 1.0 : A Peer-Reviewed Monograph

OpenAIRE

Nyagudi, Nyagudi Musandu

2013-01-01

Nations are today challenged with multiple constraints such as declining population and financial austerity, these inevitably reduce military/security forces preparedness. Faced with well resourced adversaries or those of the asymmetric type, only a Nation that arms itself "intelligently" and fights "smart" attains advantages in the world's ever more complex and restrictive battle-spaces. Police SWAT teams and Military Special Forces face mounting pressure and challenges from adversaries that...

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.

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.

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.

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.

An examination of organizational and team commitment in a self-directed team environment.

Science.gov (United States)

Bishop, James W; Scott, K Dow

2000-06-01

A model hypothesizing differential relationships among predictor variables and individual commitment to the organization and work team was tested. Data from 485 members of sewing teams supported the existence of differential relationships between predictors and organizational and team commitment. In particular, intersender conflict and satisfaction with coworkers were more strongly related to team commitment than to organizational commitment. Resource-related conflict and satisfaction with supervision were more strongly related to organizational commitment than to team commitment. Perceived task interdependence was strongly related to both commitment foci. Contrary to prediction, the relationships between perceived task interdependence and the 2 commitment foci were not significantly different. Relationships with antecedent variables help explain how differential levels of commitment to the 2 foci may be formed. Indirect effects of exogenous variables are reported.

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

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.

What mental health teams want in their leaders.

Science.gov (United States)

Corrigan, P W; Garman, A N; Lam, C; Leary, M

1998-11-01

The authors present the findings of the first phase of a 3-year study developing a skills training curriculum for mental health team leaders. A factor model empirically generated from clinical team members was compared to Bass' (1990) Multifactor Model of Leadership. Members of mental health teams generated individual responses to questions about effective leaders. Results from this survey were subsequently administered to a sample of mental health team members. Analysis of these data yielded six factors: Autocratic Leadership, Clear Roles and Goals, Reluctant Leadership, Vision, Diversity Issues, and Supervision. Additional analyses suggest Bass' Multifactor Model offers a useful paradigm for developing a curriculum specific to the needs of mental health team leaders.

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...

The Research of Self-Management Team and Superior-Direction Team in Team Learning Influential Factors

OpenAIRE

Zhang Wei

2013-01-01

Team learning is a cure for bureaucracy; it facilitates team innovation and team performance. But team learning occurs only when necessary conditions were met. This research focused on differences of team learning influential factors between self-management team and superior-direction team. Four variables were chosen as predictors of team learning though literature review and pilot interview. The 4 variables are team motivation, team trust, team conflict and team leadership. Selected 54 self ...

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

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…

Team Building e a enfermagem Team Building e enfermería Team Building and nursing

Directory of Open Access Journals (Sweden)

Filipa Homem

2012-07-01

: profundizar los conocimientos sobre Team Building, contextualizar el Team Building y reflexionar sobre su utilidad del Team Building en su contexto dentro de las prestaciones de atención de enfermería. De este modo, se realizaron búsquedas en la base de datos electrónica EBSCO, y se consultó la literatura relacionada con la psicología organizacional. Con esta investigación se concluyó que la estrategia de dinamización de equipo es útil aplicada a la enfermería, puede incluso mejorar la comunicación y las relaciones interpersonales, identificar fortalezas y debilidades de los equipos, proporcionar una mayor satisfacción en el trabajo y así, mejorar la calidad la atención sanitaria prestada.In this environment of growing dissatisfaction and unpredictability in nursing, it is increasingly important to motivate teams, giving them personal, relational, and communicative competencies and, above all, to build team working and thus improve productivity. Team Building emerges as an effective strategy to achieve positive results within organizations. Because it is a strategy not yet widely used in Portugal, we decided to look into the issue and reflect on its relevance and potential in nursing teams with the following objectives: to deepen knowledge about Team Building, to frame Team Building within the context of organizational theories, to describe different models of Team Building and to reflect on the usefulness of Team Building for the quality of nursing care. Articles were searched in EBSCO electronic databases, and organizational psychology literature was consulted. With this research, we conclude that Team Building applied to nursing can improve communication and interpersonal relationships, identify strengths and weaknesses of teams, provide greater job satisfaction and thus enhance the quality of health care provided.

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...

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.

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.

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.

Strategic sophistication of individuals and teams. Experimental evidence

Science.gov (United States)

Sutter, Matthias; Czermak, Simon; Feri, Francesco

2013-01-01

Many important decisions require strategic sophistication. We examine experimentally whether teams act more strategically than individuals. We let individuals and teams make choices in simple games, and also elicit first- and second-order beliefs. We find that teams play the Nash equilibrium strategy significantly more often, and their choices are more often a best response to stated first order beliefs. Distributional preferences make equilibrium play less likely. Using a mixture model, the estimated probability to play strategically is 62% for teams, but only 40% for individuals. A model of noisy introspection reveals that teams differ from individuals in higher order beliefs. PMID:24926100

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.

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

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.

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

Student Teachers' Team Teaching: How Do Learners in the Classroom Experience Team-Taught Lessons by Student Teachers?

Science.gov (United States)

Baeten, Marlies; Simons, Mathea

2016-01-01

This study focuses on student teachers' team teaching. Two team teaching models (sequential and parallel teaching) were applied by 14 student teachers in a quasi-experimental design. When implementing new teaching models, it is important to take into account the perspectives of all actors involved. Although learners are key actors in the teaching…

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.

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.

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.

A pleasure working together? : the effects of dissimilarity in team member conscientiousness on team temporal processes and individual satisfaction

NARCIS (Netherlands)

Gevers, J.M.P.; Peeters, M.A.G.

2009-01-01

In this study of 43 student project teams, we tested a multi-level mediation model of the relationship between dissimilarity in conscientiousness, team temporal processes, and team member satisfaction. We distinguished between individual-level dissimilarity in conscientiousness (i.e., the distance

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.

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.

Relationships among Team Trust, Team Cohesion, Team Satisfaction and Project Team Effectiveness as Perceived by Project Managers in Malaysia

OpenAIRE

Han-Ping Fung

2014-01-01

Today, more and more project teams are formed to achieve organizational objectives as organizations generally recognized the importance and benefits of project teams. There is a compelling reason to study what are the team outcome factors that can predict project team effectiveness as it is unclear whether these team outcome factors can yield the same result in project setting whereby there is resource and time constraint compare to normal work teams which are ongoing and operational in natur...

The Influence of Proactive Socialization Behaviors and Team Socialization on Individual Performance in the Team

Science.gov (United States)

Pennaforte, Antoine

2016-01-01

On the basis of the role and the social exchange theories, this research investigated the direct and indirect antecedents of three dimensions of team performance (proficiency, adaptivity, proactivity) developed through cooperative education. The theoretical model examined how proactive socialization behaviors led to team socialization and team…

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.

Managing Inclusiveness and Diversity in Teams: How Leader Inclusiveness Affects Performance through Status and Team Identity

OpenAIRE

Mitchell, Rebecca; Boyle, Brendan; Parker, Vicki; Giles, Michelle; Chiang, Vico; Joyce, Pauline

2015-01-01

While there is increasing pressure to work collaboratively in interprofessional teams, health professionals often continue to operate in uni-professional silos. Leader inclusiveness is directed toward encouraging and valuing the different viewpoints of diverse members within team interactions, and has significant potential to overcome barriers to interprofessional team performance. In order to better understand the influence of leader inclusiveness, we develop and investigate a model of its e...

Making Teamwork Work: Team Knowledge for Team Effectiveness.

Science.gov (United States)

Guchait, Priyanko; Lei, Puiwa; Tews, Michael J

2016-01-01

This study examined the impact of two types of team knowledge on team effectiveness. The study assessed the impact of taskwork knowledge and teamwork knowledge on team satisfaction and performance. A longitudinal study was conducted with 27 service-management teams involving 178 students in a real-life restaurant setting. Teamwork knowledge was found to impact both team outcomes. Furthermore, team learning behavior was found to mediate the relationships between teamwork knowledge and team outcomes. Educators and managers should therefore ensure these types of knowledge are developed in teams along with learning behavior for maximum effectiveness.

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.

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.

The Impact of Relationship Marketing on Team Loyalty (The Case Study:Sport Team Fans of Azadeghan Football League of Iran

Directory of Open Access Journals (Sweden)

Pejman Ebrahimi

2016-05-01

Full Text Available Given the importance of brand management of sport teams, the objective of this study was to investigate the impact of relationship marketing dimensions, including team attachment, team trust, team involvement, and team selfexpression on team loyalty of fans of sport teams participating in Iran Azadeghan Football League. Sample size of this study included 480 fans of football teams, and structural equation modeling was used for analysis of data using Lisrel software. The results confirmed all hypotheses, except one hypothesis. Therefore, there is significant relationship between team self-expression and team attachment among football sport teams in Azadeghan Football League of Iran. The results show the importance of paying attention to fans of sports teams and use of their high potential and capacity that sports teams brand managers must pay particular attention to this enormous capacity. Regarding sports teams, the impact of relationship marketing, particularly dimensions of self-expression and team involvement was investigated for the first time in Iran.

Assessing Team Leadership in Emergency Medicine: The Milestones and Beyond.

Science.gov (United States)

Rosenman, Elizabeth D; Branzetti, Jeremy B; Fernandez, Rosemarie

2016-07-01

Team leadership is a critical skill for emergency medicine physicians that directly affects team performance and the quality of patient care. There exists a robust body of team science research supporting team leadership conceptual models and behavioral skill sets. However, to date, this work has not been widely incorporated into health care team leadership education. This narrative review has 3 aims: (1) to synthesize the team science literature and to translate important concepts and models to health care team leadership; (2) to describe how team leadership is currently represented in the health care literature and in the Accreditation Council for Graduate Medical Education Milestones for emergency medicine; and (3) to propose a novel, evidence-based framework for the assessment of team leadership in emergency medicine. We conducted a narrative review of the team science and health care literature. We summarized our findings and identified a list of team leadership behaviors that were then used to create a framework for team leadership assessment. Current health care team leadership measurement tools do not incorporate evidence-based models of leadership concepts from other established domains. The emergency medicine milestones include several team leadership behaviors as part of a larger resident evaluation program. However, they do not offer a comprehensive or cohesive representation of the team leadership construct. Despite the importance of team leadership to patient care, there is no standardized approach to team leadership assessment in emergency medicine. Based on the results of our review, we propose a novel team leadership assessment framework that is supported by the team science literature.

Development and validation of the primary care team dynamics survey.

Science.gov (United States)

Song, Hummy; Chien, Alyna T; Fisher, Josephine; Martin, Julia; Peters, Antoinette S; Hacker, Karen; Rosenthal, Meredith B; Singer, Sara J

2015-06-01

To develop and validate a survey instrument designed to measure team dynamics in primary care. We studied 1,080 physician and nonphysician health care professionals working at 18 primary care practices participating in a learning collaborative aimed at improving team-based care. We developed a conceptual model and administered a cross-sectional survey addressing team dynamics, and we assessed reliability and discriminant validity of survey factors and the overall survey's goodness-of-fit using structural equation modeling. We administered the survey between September 2012 and March 2013. Overall response rate was 68 percent (732 respondents). Results support a seven-factor model of team dynamics, suggesting that conditions for team effectiveness, shared understanding, and three supportive processes are associated with acting and feeling like a team and, in turn, perceived team effectiveness. This model demonstrated adequate fit (goodness-of-fit index: 0.91), scale reliability (Cronbach's alphas: 0.71-0.91), and discriminant validity (average factor correlations: 0.49). It is possible to measure primary care team dynamics reliably using a 29-item survey. This survey may be used in ambulatory settings to study teamwork and explore the effect of efforts to improve team-based care. Future studies should demonstrate the importance of team dynamics for markers of team effectiveness (e.g., work satisfaction, care quality, clinical outcomes). © Health Research and Educational Trust.

Team development and team performance. Responsibilities, responsiveness and results : A longitudinal study of teamwork at Volvo Trucks Umeå

NARCIS (Netherlands)

Kuipers, B.

2005-01-01

A three-year longitudinal study of more than 150 self-managing work teams was carried out at Volvo Trucks Umea, Sweden. Data obtained by this study were used to test a model about the performance effects of team development, answering the following research questions: (1) how can the team

Nuclear Nonproliferation Ontology Assessment Team Final Report

Energy Technology Data Exchange (ETDEWEB)

Strasburg, Jana D.; Hohimer, Ryan E.

2012-01-01

Final Report for the NA22 Simulations, Algorithm and Modeling (SAM) Ontology Assessment Team's efforts from FY09-FY11. The Ontology Assessment Team began in May 2009 and concluded in September 2011. During this two-year time frame, the Ontology Assessment team had two objectives: (1) Assessing the utility of knowledge representation and semantic technologies for addressing nuclear nonproliferation challenges; and (2) Developing ontological support tools that would provide a framework for integrating across the Simulation, Algorithm and Modeling (SAM) program. The SAM Program was going through a large assessment and strategic planning effort during this time and as a result, the relative importance of these two objectives changed, altering the focus of the Ontology Assessment Team. In the end, the team conducted an assessment of the state of art, created an annotated bibliography, and developed a series of ontological support tools, demonstrations and presentations. A total of more than 35 individuals from 12 different research institutions participated in the Ontology Assessment Team. These included subject matter experts in several nuclear nonproliferation-related domains as well as experts in semantic technologies. Despite the diverse backgrounds and perspectives, the Ontology Assessment team functioned very well together and aspects could serve as a model for future inter-laboratory collaborations and working groups. While the team encountered several challenges and learned many lessons along the way, the Ontology Assessment effort was ultimately a success that led to several multi-lab research projects and opened up a new area of scientific exploration within the Office of Nuclear Nonproliferation and Verification.

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.

Medical teams and the standard of care in negligence.

Science.gov (United States)

Sappideen, Carolyn

2015-09-01

Medical teams are essential to the delivery of modern, patient-centred health care in hospitals. A collective model of responsibility envisaged by team care is inconsistent with common law tort liability which focuses on the individual rather than the team. There is no basis upon which a team can be liable as a collective at common law. Nor does the common law'countenance liability for the conduct of other team members absent some form of agency, vicarious liability or non-delegable duty. Despite the barriers to the adoption of a team standard of care in negligence, there is scope for team factors to have a role in determining the standard of care so that being a team player is part and parcel of what it is to be a competent professional. If this is the case, the skill set, and the standard of care expected of the individual professional, includes skills based on team models of communication, cross-monitoring and trust.

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

Assessing Team Leadership in Emergency Medicine: The Milestones and Beyond

Science.gov (United States)

Rosenman, Elizabeth D.; Branzetti, Jeremy B.; Fernandez, Rosemarie

2016-01-01

Background Team leadership is a critical skill for emergency medicine physicians that directly affects team performance and the quality of patient care. There exists a robust body of team science research supporting team leadership conceptual models and behavioral skill sets. However, to date, this work has not been widely incorporated into health care team leadership education. Objective This narrative review has 3 aims: (1) to synthesize the team science literature and to translate important concepts and models to health care team leadership; (2) to describe how team leadership is currently represented in the health care literature and in the Accreditation Council for Graduate Medical Education Milestones for emergency medicine; and (3) to propose a novel, evidence-based framework for the assessment of team leadership in emergency medicine. Methods We conducted a narrative review of the team science and health care literature. We summarized our findings and identified a list of team leadership behaviors that were then used to create a framework for team leadership assessment. Results Current health care team leadership measurement tools do not incorporate evidence-based models of leadership concepts from other established domains. The emergency medicine milestones include several team leadership behaviors as part of a larger resident evaluation program. However, they do not offer a comprehensive or cohesive representation of the team leadership construct. Conclusions Despite the importance of team leadership to patient care, there is no standardized approach to team leadership assessment in emergency medicine. Based on the results of our review, we propose a novel team leadership assessment framework that is supported by the team science literature. PMID:27413434

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.

Groups Meet . . . Teams Improve: Building Teams That Learn

Science.gov (United States)

Hillier, Janet; Dunn-Jensen, Linda M.

2013-01-01

Although most business students participate in team-based projects during undergraduate or graduate course work, the team experience does not always teach team skills or capture the team members' potential: Students complete the task at hand but the explicit process of becoming a team is often not learned. Drawing from organizational learning…

Personality and community prevention teams: Dimensions of team leader and member personality predicting team functioning.

Science.gov (United States)

Feinberg, Mark E; Kim, Ji-Yeon; Greenberg, Mark T

2008-11-01

The predictors and correlates of positive functioning among community prevention teams have been examined in a number of research studies; however, the role of personality has been neglected. In this study, we examined whether team member and leader personality dimensions assessed at the time of team formation predicted local prevention team functioning 2.5-3.5 years later. Participants were 159 prevention team members in 14 communities participating in the PROSPER study of prevention program dissemination. Three aspects of personality, aggregated at the team level, were examined as predictors: Openness to Experience, Conscientiousness, and Agreeableness. A series of multivariate regression analyses were performed that accounted for the interdependency of five categories of team functioning. Results showed that average team member Openness was negatively, and Conscientiousness was positively linked to team functioning. The findings have implications for decisions about the level and nature of technical assistance support provided to community prevention teams.

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.

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

Collective Global Leadership in Self-Managed Multicultural Teams

DEFF Research Database (Denmark)

Paunova, Minna; Lee, Yih-Teen

2016-01-01

Arguing that it is necessary to look into specific global leadership processes in specific contexts, this article focuses on collective global leadership in self-managed multicultural teams using an input-process-output model. Building on a study of nationally and culturally diverse self-managed...... teams, our work demonstrates that collective global leadership in these teams is critical for team performance (output). Our study also examines some of the affective or attitudinal antecedents of collective global leadership in self-managed multicultural teams (process) and their members’ goal...... orientations (input). Our findings suggest that a team learning orientation may greatly help multicultural teams overcome the liability of cultural diversity, create a positive intra-team environment, and enable collective global leadership. Our research also suggests that team performance orientation...

Evaluating the effectiveness of health care teams.

Science.gov (United States)

Mickan, Sharon M

2005-05-01

While it is recognised that effective health care teams are associated with quality patient care, the literature is comparatively sparse in defining the outcomes of effective teamwork. This literature review of the range of organisational, team and individual benefits of teamwork complements an earlier article which summarised the antecedent conditions for (input) and team processes (throughput) of effective teams. This article summarises the evidence for a range of outcome measures of effective teams. Organisational benefits of teamwork include reduced hospitalisation time and costs, reduced unanticipated admissions, better accessibility for patients, and improved coordination of care. Team benefits include efficient use of health care services, enhanced communication and professional diversity. Patients report benefits of enhanced satisfaction, acceptance of treatment and improved health outcomes. Finally, team members report enhanced job satisfaction, greater role clarity and enhanced well-being. Due to the inherent complexity of teamwork, a constituency model of team evaluation is supported where key stakeholders identify and measure the intended benefits of a team.

Group cohesion in sports teams of different professional level

OpenAIRE

Vazha M. Devishvili; Marina O. Mdivani; Daria S. Elgina

2017-01-01

Background. Team sports are not only the most exciting sporting events. but also complex activities that make serious demands on players. The effectiveness of the team depends not only on the high level of gaming interaction. but also on the relationship between the players. The work is based on the material of sports teams and is devoted to the study of the phenomenon of group cohesion. As a basic model. the authors choose a 4-factor model that describes cohesion in sports teams. The pape...

When Task Conflict Becomes Personal: The Impact of Perceived Team Performance.

Science.gov (United States)

Guenter, Hannes; van Emmerik, Hetty; Schreurs, Bert; Kuypers, Tom; van Iterson, Ad; Notelaers, Guy

2016-10-01

Although potentially beneficial, task conflict may threaten teams because it often leads to relationship conflict. Prior research has identified a set of interpersonal factors (e.g., team communication, team trust) that help attenuate this association. The purpose of this article is to provide an alternative perspective that focuses on the moderating role of performance-related factors (i.e., perceived team performance). Using social identity theory, we build a model that predicts how task conflict associates with growth in relationship conflict and how perceived team performance influences this association. We test a three-wave longitudinal model by means of random coefficient growth modeling, using data from 60 ongoing teams working in a health care organization. Results provide partial support for our hypotheses. Only when perceived team performance is low, do task conflicts relate with growth in relationship conflict. We conclude that perceived team performance seems to enable teams to uncouple task from relationship conflict.

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.

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...

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.

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

A dynamical approach toward understanding mechanisms of team science: change, kinship, tension, and heritage in a transdisciplinary team.

Science.gov (United States)

Lotrecchiano, Gaetano R

2013-08-01

Since the concept of team science gained recognition among biomedical researchers, social scientists have been challenged with investigating evidence of team mechanisms and functional dynamics within transdisciplinary teams. Identification of these mechanisms has lacked substantial research using grounded theory models to adequately describe their dynamical qualities. Research trends continue to favor the measurement of teams by isolating occurrences of production over relational mechanistic team tendencies. This study uses a social constructionist-grounded multilevel mixed methods approach to identify social dynamics and mechanisms within a transdisciplinary team. A National Institutes of Health-funded research team served as a sample. Data from observations, interviews, and focus groups were qualitatively coded to generate micro/meso level analyses. Social mechanisms operative within this biomedical scientific team were identified. Dynamics that support such mechanisms were documented and explored. Through theoretical and emergent coding, four social mechanisms dominated in the analysis-change, kinship, tension, and heritage. Each contains relational social dynamics. This micro/meso level study suggests such mechanisms and dynamics are key features of team science and as such can inform problems of integration, praxis, and engagement in teams. © 2013 Wiley Periodicals, Inc.

[Team Care for Patient Safety, TeamSTEPPS to Improve Nontechnical Skills and Teamwork--Actions to Become an HRO].

Science.gov (United States)

Kaito, Ken

2015-07-01

It is important to develop safer medical systems and follow manuals of medical procedures for patient safety. However, these approaches do not always result in satisfactory results because of many human factors. It is known that defects of nontechnical skills are more important than those of technical skills regarding medical accidents and incidents. So, it is necessary to improve personal nontechnical skills and compensate for each other's defects based on a team approach. For such purposes, we have implemented TeamSTEPPS to enhance performance and patient safety in our hospital. TeamSTEPPS (team strategies and tools to enhance performance and patient safety) is a useful method to improve the nontechnical skills of each member and the team. In TeamSTEPPS, leadership to share mental models among the team, continuous monitoring and awareness for team activities, mutual support for workload and knowledge, and approaches to complete communication are summarized to enhance teamwork and patient safety. Other than improving nontechnical skills and teamwork, TeamSTEPPS is also very important as a High Reliability Organization (HRO). TeamSTEPPS is worth implementing in every hospital to decrease medical errors and improve patient outcomes and satisfaction.

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.

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.

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…

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…

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.

Increasing Student-Learning Team Effectiveness with Team Charters

Science.gov (United States)

Hunsaker, Phillip; Pavett, Cynthia; Hunsaker, Johanna

2011-01-01

Because teams are a ubiquitous part of most organizations today, it is common for business educators to use team assignments to help students experientially learn about course concepts and team process. Unfortunately, students frequently experience a number of problems during team assignments. The authors describe the results of their research and…

What can sales managers learn from coaches of professional sport teams?

OpenAIRE

G. Troilo; P. Guenzi

2010-01-01

Sales organizations are increasing their use of sales teams, but team selling is an under- researched area. In this perspective, the role of sales teams’ leaders deserves special attention. Sales teams have many characteristics in common with sport teams. Hence, sales managers often look to sport for inspirational examples and useful models of teamwork. Based on interviews with 31 coaches of professional sport teams, we developed a conceptual model providing sales managers with some useful le...

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...

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.

Team communication patterns in emergency resuscitation: a mixed methods qualitative analysis.

Science.gov (United States)

Calder, Lisa Anne; Mastoras, George; Rahimpour, Mitra; Sohmer, Benjamin; Weitzman, Brian; Cwinn, A Adam; Hobin, Tara; Parush, Avi

2017-12-01

In order to enhance patient safety during resuscitation of critically ill patients, we need to optimize team communication and enhance team situational awareness but little is known about resuscitation team communication patterns. The objective of this study is to understand how teams communicate during resuscitation; specifically to assess for a shared mental model (organized understanding of a team's relationships) and information needs. We triangulated 3 methods to evaluate resuscitation team communication at a tertiary care academic trauma center: (1) interviews; (2) simulated resuscitation observations; (3) live resuscitation observations. We interviewed 18 resuscitation team members about shared mental models, roles and goals of team members and procedural expectations. We observed 30 simulated resuscitation video recordings and documented the timing, source and destination of communication and the information category. We observed 12 live resuscitations in the emergency department and recorded baseline characteristics of the type of resuscitations, nature of teams present and type and content of information exchanges. The data were analyzed using a qualitative communication analysis method. We found that resuscitation team members described a shared mental model. Respondents understood the roles and goals of each team member in order to provide rapid, efficient and life-saving care with an overall need for situational awareness. The information flow described in the interviews was reflected during the simulated and live resuscitations with the most responsible physician and charting nurse being central to team communication. We consolidated communicated information into six categories: (1) time; (2) patient status; (3) patient history; (4) interventions; (5) assistance and consultations; 6) team members present. Resuscitation team members expressed a shared mental model and prioritized situational awareness. Our findings support a need for cognitive aids to

Measuring cognition in teams: a cross-domain review.

Science.gov (United States)

Wildman, Jessica L; Salas, Eduardo; Scott, Charles P R

2014-08-01

The purpose of this article is twofold: to provide a critical cross-domain evaluation of team cognition measurement options and to provide novice researchers with practical guidance when selecting a measurement method. A vast selection of measurement approaches exist for measuring team cognition constructs including team mental models, transactive memory systems, team situation awareness, strategic consensus, and cognitive processes. Empirical studies and theoretical articles were reviewed to identify all of the existing approaches for measuring team cognition. These approaches were evaluated based on theoretical perspective assumed, constructs studied, resources required, level of obtrusiveness, internal consistency reliability, and predictive validity. The evaluations suggest that all existing methods are viable options from the point of view of reliability and validity, and that there are potential opportunities for cross-domain use. For example, methods traditionally used only to measure mental models may be useful for examining transactive memory and situation awareness. The selection of team cognition measures requires researchers to answer several key questions regarding the theoretical nature of team cognition and the practical feasibility of each method. We provide novice researchers with guidance regarding how to begin the search for a team cognition measure and suggest several new ideas regarding future measurement research. We provide (1) a broad overview and evaluation of existing team cognition measurement methods, (2) suggestions for new uses of those methods across research domains, and (3) critical guidance for novice researchers looking to measure team cognition.

Who Gets to Lead the Multinational Team?

DEFF Research Database (Denmark)

Paunova, Minna

2017-01-01

of their core self-evaluations. A study of over 230 individuals from 46 nationalities working in 36 self-managing teams generally supports the expected main and moderation effects. Individual core self-evaluations enhance an otherwise weak effect of English proficiency, but compensate for low levels of national......This article examines the emergence of informal leadership in multinational teams. Building on and extending status characteristics theory, the article proposes and tests a model that describes how global inequalities reproduce in multinational teams, and accounts for who gets to lead these teams...

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.

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.

Measuring Team Learning Behaviours through Observing Verbal Team Interaction

Science.gov (United States)

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

2015-01-01

Purpose: This study aims to explore, as an answer to the observed lack of knowledge about actual team learning behaviours, the characteristics of the actual observed basic team learning behaviours and facilitating team learning behaviours more in-depth of three project teams. Over time, team learning in an organisational context has been…

The Relationship between Management Team Size and Team Performance: The Mediating Effect of Team Psychological Safety

OpenAIRE

Midthaug, Mari Bratterud

2017-01-01

The purpose of this thesis is to explore the relationship between team size (number of team members) and team performance in management teams. There is a lack of empirical research exploring the potential links between these two elements within management teams. Further, little attention has been paid to potential mechanisms affecting this relationship. In this study, team psychological safety has been examined as a potential mediator in the size-performance relationship, hypothesizing that t...

The relationship between servant leadership, organisational citizenship behaviour and team effectiveness

Directory of Open Access Journals (Sweden)

Bright Mahembe

2014-02-01

Research purpose: The goal of the study was to analyse the relationships between servant leadership, OCB and team effectiveness in the South African school system. Motivation for the study: The changing nature of leadership, coupled with the increased use of teams, necessitates a study on how follower-focused leadership practices enhance team member effectiveness. Research approach, design and method: A non-probability sample of 288 teachers was drawn from 38 schools in the Western Cape in South Africa. Item analysis and confirmatory factor analysis were conducted on the data. Main findings: The team effectiveness and refined servant leadership questionnaires displayed high levels of internal consistency. The organisational citizenship behaviour scale exhibited moderate reliability coefficients. Good fit was found for the structural and measurement models of the latent variables through confirmatory factor analysis and structural equation modelling. Positive relationships were found between servant leadership, team effectiveness and OCB. Practical/managerial implications: The findings emphasise the role played by servant leadership behaviours in promoting positive behaviours and outcomes for teams. Future studies should develop the theoretical model further, by identifying other variables that influence team effectiveness positively and testing the model using revenue-oriented teams. Contribution/value-add: Schools today face the challenge of developing strategies for achieving team effectiveness. The servant leadership style recognises and promotes the one-on-one development of followers likely to promote positive outcomes and team effectiveness.

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.       

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.        

Self-reported teamwork in family health team practices in Ontario: organizational and cultural predictors of team climate.

Science.gov (United States)

Howard, Michelle; Brazil, Kevin; Akhtar-Danesh, Noori; Agarwal, Gina

2011-05-01

To determine the organizational predictors of higher scores on team climate measures as an indicator of the functioning of a family health team (FHT). Cross-sectional study using a mailed survey. Family health teams in Ontario. Twenty-one of 144 consecutively approached FHTs; 628 team members were surveyed. Scores on the team climate inventory, which assessed organizational culture type (group, developmental, rational, or hierarchical); leadership perceptions; and organizational factors, such as use of electronic medical records (EMRs), team composition, governance of the FHT, location, meetings, and time since FHT initiation. All analyses were adjusted for clustering of respondents within the FHT using a mixed random-intercepts model. The response rate was 65.8% (413 of 628); 2 were excluded from analysis, for a total of 411 participants. At the time of survey completion, there was a median of 4 physicians, 11 other health professionals, and 4 management and clerical staff per FHT. The average team climate score was 3.8 out of a possible 5. In multivariable regression analysis, leadership score, group and developmental culture types, and use of more EMR capabilities were associated with higher team climate scores. Other organizational factors, such as number of sites and size of group, were not associated with the team climate score. Culture, leadership, and EMR functionality, rather than organizational composition of the teams (eg, number of professionals on staff, practice size), were the most important factors in predicting climate in primary care teams.

Leading Teams of Leaders: What Helps Team Member Learning?

Science.gov (United States)

Higgins, Monica; Young, Lissa; Weiner, Jennie; Wlodarczyk, Steven

2010-01-01

School districts are moving toward a new form of management in which superintendents need to form and nurture leadership teams. A study of 25 such teams in Connecticut suggests that a team's effectiveness is maximized when the team members are coached by other team members, not the superintendent, and when they are coached on task-related…

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...

A Project Team: a Team or Just a Group?

Directory of Open Access Journals (Sweden)

Kateřina

2014-06-01

Full Text Available This paper deals with issues related to work in either teams or groups. The theoretical part discusses a team and a group with regards to its definition, classification and basic distinction, brings in more on the typology of team roles, personality assessment and sociometric methods. The analytical part tests the project (work team of a medical center represented in terms of personality and motivational types, team roles and interpersonal team relations concerning the willingness of cooperation and communication. The main objective of this work is to verify the validity of the assumptions that the analyzed team represents a very disparate group as for its composition from the perspective of personality types, types of motivation, team roles and interpersonal relations in terms of the willingness of cooperation and communication. A separate output shall focus on sociometric investigation of those team members where willingness to work together and communicate is based on the authors’ assumption of tight interdependence.

The Team Climate Inventory: application in hospital teams and methodological considerations.

Science.gov (United States)

Ouwens, M; Hulscher, M; Akkermans, R; Hermens, R; Grol, R; Wollersheim, H

2008-08-01

To test the validity, reliability and discriminating capacity of an instrument to assess team climate, the Team Climate Inventory (TCI), in a sample of Dutch hospital teams. The TCI is based on a four-factor theory of team climate for innovation. Validation study. Hospital teams in The Netherlands. 424 healthcare professionals; 355 nurses working in 22 nursing teams and 69 nurses and doctors working in 14 quality-improvement teams. Exploratory and confirmatory factor analyses, Pearson's product moment correlations, internal homogeneity of the TCI scales based on Cronbach alpha, and the TCI capability to discriminate between two types of healthcare teams, namely nursing teams and quality-improvement teams. The validity test revealed the TCI's five-factor structure and moderate data fit. The Cronbach alphas of the five scales showed acceptable reliabilities. The TCI discriminated between nursing teams and quality-improvement teams. The mean scores of quality-improvement teams were all significantly higher than those of the nursing teams. Patient care teams are essential for high-quality patient care, and team climate is an important characteristic of successful teams. This study shows that the TCI is a valid, reliable and discriminating self-report measure of team climate in hospital teams. The TCI can be used as a quality-improvement tool or in quality-of-care research.

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.…

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.

Medical Team Training: Using Simulation as a Teaching Strategy for Group Work

Science.gov (United States)

Moyer, Michael R.; Brown, Rhonda Douglas

2011-01-01

Described is an innovative approach currently being used to inspire group work, specifically a medical team training model, referred to as The Simulation Model, which includes as its major components: (1) Prior Training in Group Work of Medical Team Members; (2) Simulation in Teams or Groups; (3) Multidisciplinary Teamwork; (4) Team Leader…

A Project Team: A Team or Just a Group?

Directory of Open Access Journals (Sweden)

Katerina Hrazdilova Bockova

2013-11-01

Full Text Available This paper deals with issues related to work in either teams or groups. The theoretical part which discusses a team and a group with regards to its definition, classification and basic distinction brings in more on the typology of team roles, personality assessment and sociometric methods. The analytical part tests the project (work team of a medical center represented in terms of personality and motivational types, team roles and interpersonal team relations concerning the willingness of cooperation and communication. The main objective of this work was to determine whether the existing team is not by its nature rather a working group that contributes to the generally perceived stagnation of that field.

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