WorldWideScience

Sample records for network overcomes theoretical

  1. Cooperative networks overcoming defectors by social influence

    Science.gov (United States)

    Gomez Portillo, Ignacio

    2014-01-01

    We address the cooperation problem in structured populations by considering the prisoner’s dilemma game as a metaphor of the social interactions between individuals with imitation capacity. We present a new strategy update rule called democratic weighted update where the individual’s behavior is socially influenced by each one of their neighbors. In particular, the capacity of an individual to socially influence other ones is proportional to its accumulated payoff. When in a neighborhood there are cooperators and defectors, the focal player is contradictorily influenced by them and, therefore, the effective social influence is given by the difference of the accumulated payoff of each strategy in its neighborhood. First, by considering the growing process of the network and neglecting mutations, we show the evolution of highly cooperative systems. Then, we broadly show that the social influence allows to overcome the emergence of defectors into highly cooperative systems. In this way, we conclude that in a structured system formed by a growing process, the cooperation evolves if the individuals have an imitation capacity socially influenced by each one of their neighbors. Therefore, here we present a theoretical solution of the cooperation problem among genetically unrelated individuals.

  2. Overcoming the effects of false positives and threshold bias in graph theoretical analyses of neuroimaging data.

    Science.gov (United States)

    Drakesmith, M; Caeyenberghs, K; Dutt, A; Lewis, G; David, A S; Jones, D K

    2015-09-01

    Graph theory (GT) is a powerful framework for quantifying topological features of neuroimaging-derived functional and structural networks. However, false positive (FP) connections arise frequently and influence the inferred topology of networks. Thresholding is often used to overcome this problem, but an appropriate threshold often relies on a priori assumptions, which will alter inferred network topologies. Four common network metrics (global efficiency, mean clustering coefficient, mean betweenness and smallworldness) were tested using a model tractography dataset. It was found that all four network metrics were significantly affected even by just one FP. Results also show that thresholding effectively dampens the impact of FPs, but at the expense of adding significant bias to network metrics. In a larger number (n=248) of tractography datasets, statistics were computed across random group permutations for a range of thresholds, revealing that statistics for network metrics varied significantly more than for non-network metrics (i.e., number of streamlines and number of edges). Varying degrees of network atrophy were introduced artificially to half the datasets, to test sensitivity to genuine group differences. For some network metrics, this atrophy was detected as significant (pcluster-enhanced permutation correction approach, to identify sustained significant effects across clusters of thresholds. This approach minimises requirements to determine a single threshold a priori. We demonstrate improved sensitivity of MTPC-corrected metrics to genuine group effects compared to an existing approach and demonstrate the use of MTPC on a previously published network analysis of tractography data derived from a clinical population. In conclusion, we show that there are large biases and instability induced by thresholding, making statistical comparisons of network metrics difficult. However, by testing for effects across multiple thresholds using MTPC, true group

  3. Towards overcoming the Monte Carlo sign problem with tensor networks

    Energy Technology Data Exchange (ETDEWEB)

    Banuls, Mari Carmen; Cirac, J. Ignacio; Kuehn, Stefan [Max-Planck-Institut fuer Quantenoptik (MPQ), Garching (Germany); Cichy, Krzysztof [Frankfurt Univ. (Germany). Inst. fuer Theoretische Physik; Adam Mickiewicz Univ., Poznan (Poland). Faculty of Physics; Jansen, Karl [Deutsches Elektronen-Synchrotron (DESY), Zeuthen (Germany). John von Neumann-Inst. fuer Computing NIC; Saito, Hana [AISIN AW Co., Ltd., Aichi (Japan)

    2016-11-15

    The study of lattice gauge theories with Monte Carlo simulations is hindered by the infamous sign problem that appears under certain circumstances, in particular at non-zero chemical potential. So far, there is no universal method to overcome this problem. However, recent years brought a new class of non-perturbative Hamiltonian techniques named tensor networks, where the sign problem is absent. In previous work, we have demonstrated that this approach, in particular matrix product states in 1+1 dimensions, can be used to perform precise calculations in a lattice gauge theory, the massless and massive Schwinger model. We have computed the mass spectrum of this theory, its thermal properties and real-time dynamics. In this work, we review these results and we extend our calculations to the case of two flavours and non-zero chemical potential. We are able to reliably reproduce known analytical results for this model, thus demonstrating that tensor networks can tackle the sign problem of a lattice gauge theory at finite density.

  4. Overcoming barriers to scheduling embedded generation to support distribution networks

    Energy Technology Data Exchange (ETDEWEB)

    Wright, A.J.; Formby, J.R.

    2000-07-01

    Current scheduling of embedded generation for distribution in the UK is limited and patchy. Some DNOs actively schedule while others do none. The literature on the subject is mainly about accommodating volatile wind output, and optimising island systems, for both cost of supply and network stability. The forthcoming NETA will lower prices, expose unpredictable generation to imbalance markets and could introduce punitive constraint payments on DNOs, but at the same time create a dynamic market for both power and ancillary services from embedded generators. Most renewable generators either run as base load (e.g. waste ) or according to the vagaries of the weather (e.g. wind, hydro), so offer little scope for scheduling other than 'off'. CHP plant is normally heat- led for industrial processes or building needs, but supplementary firing or thermal storage often allow considerable scope for scheduling. Micro-CHP with thermal storage could provide short-term scheduling, but tends to be running anyway during the evening peak. Standby generation appears to be ideal for scheduling, but in practice operators may be unwilling to run parallel with the network, and noise and pollution problems may preclude frequent operation. Statistical analysis can be applied to calculate the reliability of several generators compared to one; with a large number of generators such as micro-CHP reliability of a proportion of load is close to unity. The type of communication for generation used will depend on requirements for bandwidth, cost, reliability and whether it is bundled with other services. With high levels of deeply embedded, small-scale generation using induction machines, voltage control and black start capability will become important concerns on 11 kV and LV networks. This will require increased generation monitoring and remote control of switchgear. Examples of cost benefits from scheduling are given, including deferred reinforcement, increased exports on non

  5. Regularization Techniques to Overcome Overparameterization of Complex Biochemical Reaction Networks.

    Science.gov (United States)

    Howsmon, Daniel P; Hahn, Juergen

    2016-09-01

    Models of biochemical reaction networks commonly contain a large number of parameters while at the same time there is only a limited amount of (noisy) data available for their estimation. As such, the values of many parameters are not well known as nominal parameter values have to be determined from the open scientific literature and a significant number of the values may have been derived in different cell types or organisms than that which is modeled. There clearly is a need to estimate at least some of the parameter values from experimental data, however, the small amount of available data and the large number of parameters commonly found in these types of models, require the use of regularization techniques to avoid over fitting. A tutorial of regularization techniques, including parameter set selection, precedes a case study of estimating parameters in a signal transduction network. Cross validation rather than fitting results are presented to further emphasize the need for models that generalize well to new data instead of simply fitting the current data.

  6. The autonomous communities and the EU from a theoretical perspective: overcoming the existing approaches?

    Directory of Open Access Journals (Sweden)

    John Etherington

    2012-09-01

    Full Text Available This article discusses the theoretical lessons from the results of the research project into the reforms of CARUE (Conference for EU-Related Affairs, between the Spanish state and the autonomous communities. To that end, the article begins by explaining the theoretical and methodological premises on which our research is based, and then summarises the main findings of our research, paying particular attention to the question of whether or not these reforms have empowered the autonomous communities as political actors within the framework of European governance. Finally, the results are used to reflect back on the dominant theoretical approaches to European governance and the role played by the regions within it; the conclusion is that any theoretical model that seeks to successfully deal with these questions must be sensitive to different national traditions and must understand the importance of historical inertias.

  7. Unification of theoretical approaches for epidemic spreading on complex networks.

    Science.gov (United States)

    Wang, Wei; Tang, Ming; Eugene Stanley, H; Braunstein, Lidia A

    2017-03-01

    Models of epidemic spreading on complex networks have attracted great attention among researchers in physics, mathematics, and epidemiology due to their success in predicting and controlling scenarios of epidemic spreading in real-world scenarios. To understand the interplay between epidemic spreading and the topology of a contact network, several outstanding theoretical approaches have been developed. An accurate theoretical approach describing the spreading dynamics must take both the network topology and dynamical correlations into consideration at the expense of increasing the complexity of the equations. In this short survey we unify the most widely used theoretical approaches for epidemic spreading on complex networks in terms of increasing complexity, including the mean-field, the heterogeneous mean-field, the quench mean-field, dynamical message-passing, link percolation, and pairwise approximation. We build connections among these approaches to provide new insights into developing an accurate theoretical approach to spreading dynamics on complex networks.

  8. Overcoming barriers in care for the dying: Theoretical analysis of an innovative program model.

    Science.gov (United States)

    Wallace, Cara L

    2016-08-01

    This article explores barriers to end-of-life (EOL) care (including development of a death denying culture, ongoing perceptions about EOL care, poor communication, delayed access, and benefit restrictions) through the theoretical lens of symbolic interactionism (SI), and applies general systems theory (GST) to a promising practice model appropriate for addressing these barriers. The Compassionate Care program is a practice model designed to bridge gaps in care for the dying and is one example of a program offering concurrent care, a recent focus of evaluation though the Affordable Care Act. Concurrent care involves offering curative care alongside palliative or hospice care. Additionally, the program offers comprehensive case management and online resources to enrollees in a national health plan (Spettell et al., 2009).SI and GST are compatible and interrelated theories that provide a relevant picture of barriers to end-of-life care and a practice model that might evoke change among multiple levels of systems. These theories promote insight into current challenges in EOL care, as well as point to areas of needed research and interventions to address them. The article concludes with implications for policy and practice, and discusses the important role of social work in impacting change within EOL care.

  9. Towards a theoretical framework for analyzing complex linguistic networks

    CERN Document Server

    Lücking, Andy; Banisch, Sven; Blanchard, Philippe; Job, Barbara

    2016-01-01

    The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics. In this way, the book contributes first steps towards establishing a statistical network theory as a theoretical basis of linguistic network analysis the boarder of the natural sciences and the humanities.This book addresses researchers who want to get familiar with theoretical developments, computational models and their empirical evaluation in the field of complex linguistic networks. It is intended to all those who are interested in statisticalmodels of linguistic systems from the point of view of network research. This includes all relevant areas of linguistics ranging from phonological, morphological and lexical networks on the one hand and syntactic, semantic and pragmatic networks on the other. In this sense, the volume concerns readers from many disciplines such as physics, linguistics, computer science and information scien...

  10. ALOHA networks : A game-theoretic approach

    NARCIS (Netherlands)

    Marban, S.; van de Ven, P.; Borm, P.E.M.; Hamers, H.J.M.

    2013-01-01

    In this paper we consider a wireless network consisting of various nodes, where transmissions are regulated by the slotted ALOHA protocol. Nodes using the protocol behave autonomously, and decide at random whether to transmit in a particular time slot. Simultaneous transmissions by multiple nodes

  11. ALOHA networks: A game-theoretic approach

    NARCIS (Netherlands)

    Marbán, S.; Ven, P. van de; Borm, P.; Hamers, H.

    2013-01-01

    In this paper we consider a wireless network consisting of various nodes, where transmissions are regulated by the slotted ALOHA protocol. Nodes using the protocol behave autonomously, and decide at random whether to transmit in a particular time slot. Simultaneous transmissions by multiple nodes

  12. THE NETWORKS IN TOURISM: A THEORETICAL APPROACH

    Directory of Open Access Journals (Sweden)

    Maria TĂTĂRUȘANU

    2016-12-01

    Full Text Available The economic world in which tourism companies act today is in a continuous changing process. The most important factor of these changes is the globalization of their environment, both in economic, social, natural and cultural aspects. The tourism companies can benefit from the opportunities brought by globalization, but also could be menaced by the new context. How could react the companies to these changes in order to create and maintain long term competitive advantage for their business? In the present paper we make a literature review of the new tourism companies´ business approach: the networks - a result and/or a reason for exploiting the opportunities or, on the contrary, for keeping their actual position on the market. It’s a qualitative approach and the research methods used are analyses, synthesis, abstraction, which are considered the most appropriate to achieve the objective of the paper.

  13. Jamming in Mobile Networks: A Game-Theoretic Approach

    Science.gov (United States)

    2013-03-01

    general treatment of multiplayer differential games was presented by Starr and Ho [16], Leitmann [36], Vaisbord and Zhukovskiy [65], Zhukovskiy and...REPORT Jamming in mobile networks: A game -theoretic approach. 14. ABSTRACT 16. SECURITY CLASSIFICATION OF: In this paper, we address the problem of...model the intrusion as a pursuit-evasion game between a mobile jammer and a team of agents. First, we consider a differential game -theoretic approach

  14. Information Theoretic Adaptive Tracking of Epidemics in Complex Networks

    CERN Document Server

    Harrington, Patrick L

    2013-01-01

    Adaptively monitoring the states of nodes in a large complex network is of interest in domains such as national security, public health, and energy grid management. Here, we present an information theoretic adaptive tracking and sampling framework that recursively selects measurements using the feedback from performing inference on a dynamic Bayesian Network. We also present conditions for the existence of a network specific, observation dependent, phase transition in the updated posterior of hidden node states resulting from actively monitoring the network. Since traditional epidemic thresholds are derived using observation independent Markov chains, the threshold of the posterior should more accurately model the true phase transition of a network. The adaptive tracking framework and epidemic threshold should provide insight into modeling the dynamic response of the updated posterior to active intervention and control policies while monitoring modern complex networks.

  15. Genome network medicine: innovation to overcome huge challenges in cancer therapy.

    Science.gov (United States)

    Roukos, Dimitrios H

    2014-01-01

    The post-ENCODE era shapes now a new biomedical research direction for understanding transcriptional and signaling networks driving gene expression and core cellular processes such as cell fate, survival, and apoptosis. Over the past half century, the Francis Crick 'central dogma' of single n gene/protein-phenotype (trait/disease) has defined biology, human physiology, disease, diagnostics, and drugs discovery. However, the ENCODE project and several other genomic studies using high-throughput sequencing technologies, computational strategies, and imaging techniques to visualize regulatory networks, provide evidence that transcriptional process and gene expression are regulated by highly complex dynamic molecular and signaling networks. This Focus article describes the linear experimentation-based limitations of diagnostics and therapeutics to cure advanced cancer and the need to move on from reductionist to network-based approaches. With evident a wide genomic heterogeneity, the power and challenges of next-generation sequencing (NGS) technologies to identify a patient's personal mutational landscape for tailoring the best target drugs in the individual patient are discussed. However, the available drugs are not capable of targeting aberrant signaling networks and research on functional transcriptional heterogeneity and functional genome organization is poorly understood. Therefore, the future clinical genome network medicine aiming at overcoming multiple problems in the new fields of regulatory DNA mapping, noncoding RNA, enhancer RNAs, and dynamic complexity of transcriptional circuitry are also discussed expecting in new innovation technology and strong appreciation of clinical data and evidence-based medicine. The problematic and potential solutions in the discovery of next-generation, molecular, and signaling circuitry-based biomarkers and drugs are explored. © 2013 Wiley Periodicals, Inc.

  16. Information-Theoretic Inference of Large Transcriptional Regulatory Networks

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    Meyer Patrick

    2007-01-01

    Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

  17. Information-Theoretic Inference of Large Transcriptional Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Patrick E. Meyer

    2007-06-01

    Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

  18. GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

    Directory of Open Access Journals (Sweden)

    Jinhui eWang

    2015-06-01

    Full Text Available Recent studies have suggested that the brain’s structural and functional networks (i.e., connectomics can be constructed by various imaging technologies (e.g., EEG/MEG; structural, diffusion and functional MRI and further characterized by graph theory. Given the huge complexity of network construction, analysis and statistics, toolboxes incorporating these functions are largely lacking. Here, we developed the GRaph thEoreTical Network Analysis (GRETNA toolbox for imaging connectomics. The GRETNA contains several key features as follows: (i an open-source, Matlab-based, cross-platform (Windows and UNIX OS package with a graphical user interface; (ii allowing topological analyses of global and local network properties with parallel computing ability, independent of imaging modality and species; (iii providing flexible manipulations in several key steps during network construction and analysis, which include network node definition, network connectivity processing, network type selection and choice of thresholding procedure; (iv allowing statistical comparisons of global, nodal and connectional network metrics and assessments of relationship between these network metrics and clinical or behavioral variables of interest; and (v including functionality in image preprocessing and network construction based on resting-state functional MRI (R-fMRI data. After applying the GRETNA to a publicly released R-fMRI dataset of 54 healthy young adults, we demonstrated that human brain functional networks exhibit efficient small-world, assortative, hierarchical and modular organizations and possess highly connected hubs and that these findings are robust against different analytical strategies. With these efforts, we anticipate that GRETNA will accelerate imaging connectomics in an easy, quick and flexible manner. GRETNA is freely available on the NITRC website (http://www.nitrc.org/projects/gretna/.

  19. GRETNA: a graph theoretical network analysis toolbox for imaging connectomics.

    Science.gov (United States)

    Wang, Jinhui; Wang, Xindi; Xia, Mingrui; Liao, Xuhong; Evans, Alan; He, Yong

    2015-01-01

    Recent studies have suggested that the brain's structural and functional networks (i.e., connectomics) can be constructed by various imaging technologies (e.g., EEG/MEG; structural, diffusion and functional MRI) and further characterized by graph theory. Given the huge complexity of network construction, analysis and statistics, toolboxes incorporating these functions are largely lacking. Here, we developed the GRaph thEoreTical Network Analysis (GRETNA) toolbox for imaging connectomics. The GRETNA contains several key features as follows: (i) an open-source, Matlab-based, cross-platform (Windows and UNIX OS) package with a graphical user interface (GUI); (ii) allowing topological analyses of global and local network properties with parallel computing ability, independent of imaging modality and species; (iii) providing flexible manipulations in several key steps during network construction and analysis, which include network node definition, network connectivity processing, network type selection and choice of thresholding procedure; (iv) allowing statistical comparisons of global, nodal and connectional network metrics and assessments of relationship between these network metrics and clinical or behavioral variables of interest; and (v) including functionality in image preprocessing and network construction based on resting-state functional MRI (R-fMRI) data. After applying the GRETNA to a publicly released R-fMRI dataset of 54 healthy young adults, we demonstrated that human brain functional networks exhibit efficient small-world, assortative, hierarchical and modular organizations and possess highly connected hubs and that these findings are robust against different analytical strategies. With these efforts, we anticipate that GRETNA will accelerate imaging connectomics in an easy, quick and flexible manner. GRETNA is freely available on the NITRC website.

  20. Wireless Networks under a Backoff Attack: A Game Theoretical Perspective

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    Juan Parras

    2018-01-01

    Full Text Available We study a wireless sensor network using CSMA/CA in the MAC layer under a backoff attack: some of the sensors of the network are malicious and deviate from the defined contention mechanism. We use Bianchi’s network model to study the impact of the malicious sensors on the total network throughput, showing that it causes the throughput to be unfairly distributed among sensors. We model this conflict using game theory tools, where each sensor is a player. We obtain analytical solutions and propose an algorithm, based on Regret Matching, to learn the equilibrium of the game with an arbitrary number of players. Our approach is validated via simulations, showing that our theoretical predictions adjust to reality.

  1. Advances in neural networks computational and theoretical issues

    CERN Document Server

    Esposito, Anna; Morabito, Francesco

    2015-01-01

    This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and  bio-inspired memristor-based networks.  Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive, and context-aware Information Communication Technologies.

  2. Theoretical Guidelines for the Utilization of Instructional Social Networking Websites

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    Ilker YAKIN

    2015-10-01

    Full Text Available interaction and communication technologies. Indeed, there has been an emerging movement in the interaction and communication technologies. More specifically, the growth of Web 2.0 technologies has acted as a catalyst for change in the disciplines of education. The social networking websites have gained popularity in recent years; therefore, many research studies have been conducted to explain how the use of social networking websites for instructional purposes. For the best practices, it is essential to understand theories associated with social networking studies because related theories for any subject may provide insights and guideline for professionals and researchers. This theoretical paper was designed to offer a road map through the literature in relation to the utilization of social networking websites by presenting main understandings of theories associated with social networking. The Uses and Gratification Theory, social network theory, connectives, and constructivism were selected to serve as a basis for designing social networking studies regarding instructional purposes. Moreover, common attributes of the theories and specific application areas were also discussed. This paper contributes to this emerging movement by explaining the role of these theories for researchers and practitioners to find ways to beneficially integrate them into their future research endeavors

  3. Reverse Engineering Cellular Networks with Information Theoretic Methods

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    Julio R. Banga

    2013-05-01

    Full Text Available Building mathematical models of cellular networks lies at the core of systems biology. It involves, among other tasks, the reconstruction of the structure of interactions between molecular components, which is known as network inference or reverse engineering. Information theory can help in the goal of extracting as much information as possible from the available data. A large number of methods founded on these concepts have been proposed in the literature, not only in biology journals, but in a wide range of areas. Their critical comparison is difficult due to the different focuses and the adoption of different terminologies. Here we attempt to review some of the existing information theoretic methodologies for network inference, and clarify their differences. While some of these methods have achieved notable success, many challenges remain, among which we can mention dealing with incomplete measurements, noisy data, counterintuitive behaviour emerging from nonlinear relations or feedback loops, and computational burden of dealing with large data sets.

  4. A Graph Theoretical Approach for Network Coding in Wireless Body Area Networks

    CERN Document Server

    Byrne, Eimear; Marinkovic, Stevan; Popovici, Emanuel

    2011-01-01

    Modern medical wireless systems, such as wireless body area networks (WBANs), are applications of wireless networks that can be used as a tool of data transmission between patients and doctors. Accuracy of data transmission is an important requirement for such systems. In this paper, we will propose a WBAN which is robust against erasures and describe its properties using graph theoretic techniques.

  5. The graph theoretical analysis of the SSVEP harmonic response networks.

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    Zhang, Yangsong; Guo, Daqing; Cheng, Kaiwen; Yao, Dezhong; Xu, Peng

    2015-06-01

    Steady-state visually evoked potentials (SSVEP) have been widely used in the neural engineering and cognitive neuroscience researches. Previous studies have indicated that the SSVEP fundamental frequency responses are correlated with the topological properties of the functional networks entrained by the periodic stimuli. Given the different spatial and functional roles of the fundamental frequency and harmonic responses, in this study we further investigated the relation between the harmonic responses and the corresponding functional networks, using the graph theoretical analysis. We found that the second harmonic responses were positively correlated to the mean functional connectivity, clustering coefficient, and global and local efficiencies, while negatively correlated with the characteristic path lengths of the corresponding networks. In addition, similar pattern occurred with the lowest stimulus frequency (6.25 Hz) at the third harmonic responses. These findings demonstrate that more efficient brain networks are related to larger SSVEP responses. Furthermore, we showed that the main connection pattern of the SSVEP harmonic response networks originates from the interactions between the frontal and parietal-occipital regions. Overall, this study may bring new insights into the understanding of the brain mechanisms underlying SSVEP.

  6. Graph theoretical analysis of resting magnetoencephalographic functional connectivity networks

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    Lindsay eRutter

    2013-07-01

    Full Text Available Complex networks have been observed to comprise small-world properties, believed to represent an optimal organization of local specialization and global integration of information processing at reduced wiring cost. Here, we applied magnitude squared coherence to resting magnetoencephalographic time series in reconstructed source space, acquired from controls and patients with schizophrenia, and generated frequency-dependent adjacency matrices modeling functional connectivity between virtual channels. After configuring undirected binary and weighted graphs, we found that all human networks demonstrated highly localized clustering and short characteristic path lengths. The most conservatively thresholded networks showed efficient wiring, with topographical distance between connected vertices amounting to one-third as observed in surrogate randomized topologies. Nodal degrees of the human networks conformed to a heavy-tailed exponentially truncated power-law, compatible with the existence of hubs, which included theta and alpha bilateral cerebellar tonsil, beta and gamma bilateral posterior cingulate, and bilateral thalamus across all frequencies. We conclude that all networks showed small-worldness, minimal physical connection distance, and skewed degree distributions characteristic of physically-embedded networks, and that these calculations derived from graph theoretical mathematics did not quantifiably distinguish between subject populations, independent of bandwidth. However, post-hoc measurements of edge computations at the scale of the individual vertex revealed trends of reduced gamma connectivity across the posterior medial parietal cortex in patients, an observation consistent with our prior resting activation study that found significant reduction of synthetic aperture magnetometry gamma power across similar regions. The basis of these small differences remains unclear.

  7. Game-Theoretic Models of Information Overload in Social Networks

    Science.gov (United States)

    Borgs, Christian; Chayes, Jennifer; Karrer, Brian; Meeder, Brendan; Ravi, R.; Reagans, Ray; Sayedi, Amin

    We study the effect of information overload on user engagement in an asymmetric social network like Twitter. We introduce simple game-theoretic models that capture rate competition between celebrities producing updates in such networks where users non-strategically choose a subset of celebrities to follow based on the utility derived from high quality updates as well as disutility derived from having to wade through too many updates. Our two variants model the two behaviors of users dropping some potential connections (followership model) or leaving the network altogether (engagement model). We show that under a simple formulation of celebrity rate competition, there is no pure strategy Nash equilibrium under the first model. We then identify special cases in both models when pure rate equilibria exist for the celebrities: For the followership model, we show existence of a pure rate equilibrium when there is a global ranking of the celebrities in terms of the quality of their updates to users. This result also generalizes to the case when there is a partial order consistent with all the linear orders of the celebrities based on their qualities to the users. Furthermore, these equilibria can be computed in polynomial time. For the engagement model, pure rate equilibria exist when all users are interested in the same number of celebrities, or when they are interested in at most two. Finally, we also give a finite though inefficient procedure to determine if pure equilibria exist in the general case of the followership model.

  8. A Game-theoretic Framework for Network Coding Based Device-to-Device Communications

    KAUST Repository

    Douik, Ahmed

    2016-06-29

    This paper investigates the delay minimization problem for instantly decodable network coding (IDNC) based deviceto- device (D2D) communications. In D2D enabled systems, users cooperate to recover all their missing packets. The paper proposes a game theoretic framework as a tool for improving the distributed solution by overcoming the need for a central controller or additional signaling in the system. The session is modeled by self-interested players in a non-cooperative potential game. The utility functions are designed so as increasing individual payoff results in a collective behavior achieving both a desirable system performance in a shared network environment and the Nash equilibrium. Three games are developed whose first reduces the completion time, the second the maximum decoding delay and the third the sum decoding delay. The paper, further, improves the formulations by including a punishment policy upon collision occurrence so as to achieve the Nash bargaining solution. Learning algorithms are proposed for systems with complete and incomplete information, and for the imperfect feedback scenario. Numerical results suggest that the proposed game-theoretical formulation provides appreciable performance gain against the conventional point-to-multipoint (PMP), especially for reliable user-to-user channels.

  9. A game-theoretical approach to multimedia social networks security.

    Science.gov (United States)

    Liu, Enqiang; Liu, Zengliang; Shao, Fei; Zhang, Zhiyong

    2014-01-01

    The contents access and sharing in multimedia social networks (MSNs) mainly rely on access control models and mechanisms. Simple adoptions of security policies in the traditional access control model cannot effectively establish a trust relationship among parties. This paper proposed a novel two-party trust architecture (TPTA) to apply in a generic MSN scenario. According to the architecture, security policies are adopted through game-theoretic analyses and decisions. Based on formalized utilities of security policies and security rules, the choice of security policies in content access is described as a game between the content provider and the content requester. By the game method for the combination of security policies utility and its influences on each party's benefits, the Nash equilibrium is achieved, that is, an optimal and stable combination of security policies, to establish and enhance trust among stakeholders.

  10. A Game Theoretic Approach to Minimize the Completion Time of Network Coded Cooperative Data Exchange

    KAUST Repository

    Douik, Ahmed S.

    2014-05-11

    In this paper, we introduce a game theoretic framework for studying the problem of minimizing the completion time of instantly decodable network coding (IDNC) for cooperative data exchange (CDE) in decentralized wireless network. In this configuration, clients cooperate with each other to recover the erased packets without a central controller. Game theory is employed herein as a tool for improving the distributed solution by overcoming the need for a central controller or additional signaling in the system. We model the session by self-interested players in a non-cooperative potential game. The utility function is designed such that increasing individual payoff results in a collective behavior achieving both a desirable system performance in a shared network environment and the Pareto optimal solution. Through extensive simulations, our approach is compared to the best performance that could be found in the conventional point-to-multipoint (PMP) recovery process. Numerical results show that our formulation largely outperforms the conventional PMP scheme in most practical situations and achieves a lower delay.

  11. A perturbation-theoretic approach to Lagrangian flow networks

    Science.gov (United States)

    Fujiwara, Naoya; Kirchen, Kathrin; Donges, Jonathan F.; Donner, Reik V.

    2017-03-01

    Complex network approaches have been successfully applied for studying transport processes in complex systems ranging from road, railway, or airline infrastructures over industrial manufacturing to fluid dynamics. Here, we utilize a generic framework for describing the dynamics of geophysical flows such as ocean currents or atmospheric wind fields in terms of Lagrangian flow networks. In this approach, information on the passive advection of particles is transformed into a Markov chain based on transition probabilities of particles between the volume elements of a given partition of space for a fixed time step. We employ perturbation-theoretic methods to investigate the effects of modifications of transport processes in the underlying flow for three different problem classes: efficient absorption (corresponding to particle trapping or leaking), constant input of particles (with additional source terms modeling, e.g., localized contamination), and shifts of the steady state under probability mass conservation (as arising if the background flow is perturbed itself). Our results demonstrate that in all three cases, changes to the steady state solution can be analytically expressed in terms of the eigensystem of the unperturbed flow and the perturbation itself. These results are potentially relevant for developing more efficient strategies for coping with contaminations of fluid or gaseous media such as ocean and atmosphere by oil spills, radioactive substances, non-reactive chemicals, or volcanic aerosols.

  12. Category theoretic analysis of hierarchical protein materials and social networks.

    Directory of Open Access Journals (Sweden)

    David I Spivak

    Full Text Available Materials in biology span all the scales from Angstroms to meters and typically consist of complex hierarchical assemblies of simple building blocks. Here we describe an application of category theory to describe structural and resulting functional properties of biological protein materials by developing so-called ologs. An olog is like a "concept web" or "semantic network" except that it follows a rigorous mathematical formulation based on category theory. This key difference ensures that an olog is unambiguous, highly adaptable to evolution and change, and suitable for sharing concepts with other olog. We consider simple cases of beta-helical and amyloid-like protein filaments subjected to axial extension and develop an olog representation of their structural and resulting mechanical properties. We also construct a representation of a social network in which people send text-messages to their nearest neighbors and act as a team to perform a task. We show that the olog for the protein and the olog for the social network feature identical category-theoretic representations, and we proceed to precisely explicate the analogy or isomorphism between them. The examples presented here demonstrate that the intrinsic nature of a complex system, which in particular includes a precise relationship between structure and function at different hierarchical levels, can be effectively represented by an olog. This, in turn, allows for comparative studies between disparate materials or fields of application, and results in novel approaches to derive functionality in the design of de novo hierarchical systems. We discuss opportunities and challenges associated with the description of complex biological materials by using ologs as a powerful tool for analysis and design in the context of materiomics, and we present the potential impact of this approach for engineering, life sciences, and medicine.

  13. Identification of Conserved Moieties in Metabolic Networks by Graph Theoretical Analysis of Atom Transition Networks

    Science.gov (United States)

    Haraldsdóttir, Hulda S.; Fleming, Ronan M. T.

    2016-01-01

    Conserved moieties are groups of atoms that remain intact in all reactions of a metabolic network. Identification of conserved moieties gives insight into the structure and function of metabolic networks and facilitates metabolic modelling. All moiety conservation relations can be represented as nonnegative integer vectors in the left null space of the stoichiometric matrix corresponding to a biochemical network. Algorithms exist to compute such vectors based only on reaction stoichiometry but their computational complexity has limited their application to relatively small metabolic networks. Moreover, the vectors returned by existing algorithms do not, in general, represent conservation of a specific moiety with a defined atomic structure. Here, we show that identification of conserved moieties requires data on reaction atom mappings in addition to stoichiometry. We present a novel method to identify conserved moieties in metabolic networks by graph theoretical analysis of their underlying atom transition networks. Our method returns the exact group of atoms belonging to each conserved moiety as well as the corresponding vector in the left null space of the stoichiometric matrix. It can be implemented as a pipeline of polynomial time algorithms. Our implementation completes in under five minutes on a metabolic network with more than 4,000 mass balanced reactions. The scalability of the method enables extension of existing applications for moiety conservation relations to genome-scale metabolic networks. We also give examples of new applications made possible by elucidating the atomic structure of conserved moieties. PMID:27870845

  14. Category Theoretic Analysis of Hierarchical Protein Materials and Social Networks

    Science.gov (United States)

    Spivak, David I.; Giesa, Tristan; Wood, Elizabeth; Buehler, Markus J.

    2011-01-01

    Materials in biology span all the scales from Angstroms to meters and typically consist of complex hierarchical assemblies of simple building blocks. Here we describe an application of category theory to describe structural and resulting functional properties of biological protein materials by developing so-called ologs. An olog is like a “concept web” or “semantic network” except that it follows a rigorous mathematical formulation based on category theory. This key difference ensures that an olog is unambiguous, highly adaptable to evolution and change, and suitable for sharing concepts with other olog. We consider simple cases of beta-helical and amyloid-like protein filaments subjected to axial extension and develop an olog representation of their structural and resulting mechanical properties. We also construct a representation of a social network in which people send text-messages to their nearest neighbors and act as a team to perform a task. We show that the olog for the protein and the olog for the social network feature identical category-theoretic representations, and we proceed to precisely explicate the analogy or isomorphism between them. The examples presented here demonstrate that the intrinsic nature of a complex system, which in particular includes a precise relationship between structure and function at different hierarchical levels, can be effectively represented by an olog. This, in turn, allows for comparative studies between disparate materials or fields of application, and results in novel approaches to derive functionality in the design of de novo hierarchical systems. We discuss opportunities and challenges associated with the description of complex biological materials by using ologs as a powerful tool for analysis and design in the context of materiomics, and we present the potential impact of this approach for engineering, life sciences, and medicine. PMID:21931622

  15. Peer influence in network markets: a theoretical and empirical analysis

    NARCIS (Netherlands)

    J. Henkel (Joachim); J.H. Block (Jörn)

    2013-01-01

    textabstractNetwork externalities spur the growth of networks and the adoption of network goods in two ways. First, they make it more attractive to join a network the larger its installed base. Second, they create incentives for network members to actively recruit new members. Despite indications

  16. Network-theoretic approach to model vortex interactions

    Science.gov (United States)

    Nair, Aditya; Taira, Kunihiko

    2014-11-01

    We present a network-theoretic approach to describe a system of point vortices in two-dimensional flow. By considering the point vortices as nodes, a complete graph is constructed with edges connecting each vortex to every other vortex. The interactions between the vortices are captured by the graph edge weights. We employ sparsification techniques on these graph representations based on spectral theory to construct sparsified models of the overall vortical interactions. The edge weights are redistributed through spectral sparsification of the graph such that the sum of the interactions associated with each vortex is maintained constant. In addition, sparse configurations maintain similar spectral properties as the original setup. Through the reduction in the number of interactions, key vortex interactions can be highlighted. Identification of vortex structures based on graph sparsification is demonstrated with an example of clusters of point vortices. We also evaluate the computational performance of sparsification for large collection of point vortices. Work supported by US Army Research Office (W911NF-14-1-0386) and US Air Force Office of Scientific Research (YIP: FA9550-13-1-0183).

  17. THEORETICAL GUIDELINES FOR THE UTILIZATION OF INSTRUCTIONAL SOCIAL NETWORKING WEBSITES

    National Research Council Canada - National Science Library

    YAKIN, Ilker; TINMAZ, Hasan

    2015-01-01

    .... The social networking websites have gained popularity in recent years; therefore, many research studies have been conducted to explain how the use of social networking websites for instructional purposes...

  18. Game Theoretic Solutions to Cyber Attack and Network Defense Problems

    National Research Council Canada - National Science Library

    Shen, Dan; Chen, Genshe; Cruz, Jr., , Jose B; Blasch, Erik; Kruger, Martin

    2007-01-01

    .... The protection and defense against cyber attacks to computer network is becoming inadequate as the hacker knowledge sophisticates and as the network and each computer system become more complex...

  19. Protecting against network infections : A game theoretic perspective

    NARCIS (Netherlands)

    Omic, J.; Orda, A.; Van Mieghem, P.

    2009-01-01

    Security breaches and attacks are critical problems in today’s networking. A key-point is that the security of each host depends not only on the protection strategies it chooses to adopt but also on those chosen by other hosts in the network. The spread of Internet worms and viruses is only one

  20. Phylogeny of metabolic networks: A spectral graph theoretical ...

    Indian Academy of Sciences (India)

    Many methods have been developed for finding the commonalities between different organisms in order to study their phylogeny. The structure of metabolic networks also reveals valuable insights into metabolic capacity of species as well as into the habitats where they have evolved. We constructed metabolic networks of ...

  1. Epidemiologic Considerations in Network Modeling of Theoretical Disease Events

    National Research Council Canada - National Science Library

    Lem, Marcus

    2006-01-01

    .... Network analysis has shown utility in the study of a range of communicable disease outbreaks affecting both health and commerce, including SARS, tuberculosis, syphilis and foot-and mouth-disease...

  2. Sensor and ad-hoc networks theoretical and algorithmic aspects

    CERN Document Server

    Makki, S Kami; Pissinou, Niki; Makki, Shamila; Karimi, Masoumeh

    2008-01-01

    This book brings together leading researchers and developers in the field of wireless sensor networks to explain the special problems and challenges of the algorithmic aspects of sensor and ad-hoc networks. The book also fosters communication not only between the different sensor and ad-hoc communities, but also between those communities and the distributed systems and information systems communities. The topics addressed pertain to the sensors and mobile environment.

  3. Deep neural networks for texture classification-A theoretical analysis.

    Science.gov (United States)

    Basu, Saikat; Mukhopadhyay, Supratik; Karki, Manohar; DiBiano, Robert; Ganguly, Sangram; Nemani, Ramakrishna; Gayaka, Shreekant

    2018-01-01

    We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative representations. To this end, we first derive the size of the feature space for some standard textural features extracted from the input dataset and then use the theory of Vapnik-Chervonenkis dimension to show that hand-crafted feature extraction creates low-dimensional representations which help in reducing the overall excess error rate. As a corollary to this analysis, we derive for the first time upper bounds on the VC dimension of Convolutional Neural Network as well as Dropout and Dropconnect networks and the relation between excess error rate of Dropout and Dropconnect networks. The concept of intrinsic dimension is used to validate the intuition that texture-based datasets are inherently higher dimensional as compared to handwritten digits or other object recognition datasets and hence more difficult to be shattered by neural networks. We then derive the mean distance from the centroid to the nearest and farthest sampling points in an n-dimensional manifold and show that the Relative Contrast of the sample data vanishes as dimensionality of the underlying vector space tends to infinity. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. Theoretical solutions for degree distribution of decreasing random birth-and-death networks

    Science.gov (United States)

    Long, Yin; Zhang, Xiao-Jun; Wang, Kui

    2017-05-01

    In this paper, theoretical solutions for degree distribution of decreasing random birth-and-death networks (0 probability generating function approach are employed. Then, based on the form of Poisson summation, we further confirm the tail characteristic of degree distribution is Poisson tail. Finally, simulations are carried out to verify these results by comparing the theoretical solutions with computer simulations.

  5. Game-theoretic strategies for asymmetric networked systems

    Energy Technology Data Exchange (ETDEWEB)

    Rao, Nageswara S. [ORNL; Ma, Chris Y. T. [Hang Seng Management College, Hon Kong; Hausken, Kjell [University of Stavanger, Norway; He, Fei [Texas A& M University, Kingsville, TX, USA; Yau, David K. Y. [Singapore University of Technology and Design; Zhuang, Jun [University at Buffalo (SUNY)

    2017-07-01

    Abstract—We consider an infrastructure consisting of a network of systems each composed of discrete components that can be reinforced at a certain cost to guard against attacks. The network provides the vital connectivity between systems, and hence plays a critical, asymmetric role in the infrastructure operations. We characterize the system-level correlations using the aggregate failure correlation function that specifies the infrastructure failure probability given the failure of an individual system or network. The survival probabilities of systems and network satisfy first-order differential conditions that capture the component-level correlations. We formulate the problem of ensuring the infrastructure survival as a game between anattacker and a provider, using the sum-form and product-form utility functions, each composed of a survival probability term and a cost term. We derive Nash Equilibrium conditions which provide expressions for individual system survival probabilities, and also the expected capacity specified by the total number of operational components. These expressions differ only in a single term for the sum-form and product-form utilities, despite their significant differences.We apply these results to simplified models of distributed cloud computing infrastructures.

  6. Game-theoretic pricing for video streaming in mobile networks.

    Science.gov (United States)

    Lin, W Sabrina; Liu, K J Ray

    2012-05-01

    Mobile phones are among the most popular consumer devices, and the recent developments of 3G networks and smart phones enable users to watch video programs by subscribing data plans from service providers. Due to the ubiquity of mobile phones and phone-to-phone communication technologies, data-plan subscribers can redistribute the video content to nonsubscribers. Such a redistribution mechanism is a potential competitor for the mobile service provider and is very difficult to trace given users' high mobility. The service provider has to set a reasonable price for the data plan to prevent such unauthorized redistribution behavior to protect or maximize his/her own profit. In this paper, we analyze the optimal price setting for the service provider by investigating the equilibrium between the subscribers and the secondary buyers in the content-redistribution network. We model the behavior between the subscribers and the secondary buyers as a noncooperative game and find the optimal price and quantity for both groups of users. Based on the behavior of users in the redistribution network, we investigate the evolutionarily stable ratio of mobile users who decide to subscribe to the data plan. Such an analysis can help the service provider preserve his/her profit under the threat of the redistribution networks and can improve the quality of service for end users.

  7. SEMANTIC NETWORKS: THEORETICAL, TECHNICAL, METHODOLOGIC AND ANALYTICAL ASPECTS

    Directory of Open Access Journals (Sweden)

    José Ángel Vera Noriega

    2005-09-01

    Full Text Available This work is a review of the methodological procedures and cares for the measurement of the connotative meanings which will be used in the elaboration of instruments with ethnic validity. Beginning from the techniques originally proposed by Figueroa et al. (1981 and later described by Lagunes (1993, the intention is to offer a didactic panorama to carry out the measurement by semantic networks introducing some recommendations derived from the studies performed with this method.

  8. Analysis of utility-theoretic heuristics for intelligent adaptive network routing

    Energy Technology Data Exchange (ETDEWEB)

    Mikler, A.R.; Honavar, V.; Wong, J.S.K. [Iowa State Univ., Ames, IA (United States)

    1996-12-31

    Utility theory offers an elegant and powerful theoretical framework for design and analysis of autonomous adaptive communication networks. Routing of messages in such networks presents a real-time instance of a multi-criterion optimization problem in a dynamic and uncertain environment. In this paper, we incrementally develop a set of heuristic decision functions that can be used to guide messages along a near-optimal (e.g., minimum delay) path in a large network. We present an analysis of properties of such heuristics under a set of simplifying assumptions about the network topology and load dynamics and identify the conditions under which they are guaranteed to route messages along an optimal path. The paper concludes with a discussion of the relevance of the theoretical results presented in the paper to the design of intelligent autonomous adaptive communication networks and an outline of some directions of future research.

  9. Can Social Capital Networks Assist Re-entry Felons to Overcome Barriers to Re-entry and Reduce Recidivism?

    Directory of Open Access Journals (Sweden)

    Earl Smith

    2011-05-01

    Full Text Available Based on interviews with 25 reentry felons, this article examines the impact that social capital plays in successful reentry; specifically with securing stable housing and employment. We found that access to social capital allowed those with the lowest probability for success—African American men with felony convictions—to secure both stable employment and housing and thus avoid engaging in illegitimate behavior that leads to recidivism. The findings suggest that even for those individuals reentering society with the most strikes against them (as noted by researchers such as Pager and Travis, access to the resource rich social capital networks provided by reentry programs can allow these individuals to overcome the barriers to reentry and find stable jobs and secure housing. Our findings suggest that more research be done on the impact of social capital embedded in reentry programs and that referrals be made to these types of programs and funding be provided for those that demonstrate the ability to significantly reduce recidivism. As Putman has noted, "Just as a screwdriver (physical capital or a college education (human capital can increase productivity (both individual and collective, so do social contacts affect the productivity of individuals and groups."

  10. Theoretical Neuroanatomy:Analyzing the Structure, Dynamics,and Function of Neuronal Networks

    Science.gov (United States)

    Seth, Anil K.; Edelman, Gerald M.

    The mammalian brain is an extraordinary object: its networks give rise to our conscious experiences as well as to the generation of adaptive behavior for the organism within its environment. Progress in understanding the structure, dynamics and function of the brain faces many challenges. Biological neural networks change over time, their detailed structure is difficult to elucidate, and they are highly heterogeneous both in their neuronal units and synaptic connections. In facing these challenges, graph-theoretic and information-theoretic approaches have yielded a number of useful insights and promise many more.

  11. Graph theoretical analysis and application of fMRI-based brain network in Alzheimer's disease

    Directory of Open Access Journals (Sweden)

    LIU Xue-na

    2012-08-01

    Full Text Available Alzheimer's disease (AD, a progressive neurodegenerative disease, is clinically characterized by impaired memory and many other cognitive functions. However, the pathophysiological mechanisms underlying the disease are not thoroughly understood. In recent years, using functional magnetic resonance imaging (fMRI as well as advanced graph theory based network analysis approach, several studies of patients with AD suggested abnormal topological organization in both global and regional properties of functional brain networks, specifically, as demonstrated by a loss of small-world network characteristics. These studies provide novel insights into the pathophysiological mechanisms of AD and could be helpful in developing imaging biomarkers for disease diagnosis. In this paper we introduce the essential concepts of complex brain networks theory, and review recent advances of the study on human functional brain networks in AD, especially focusing on the graph theoretical analysis of small-world network based on fMRI. We also propound the existent problems and research orientation.

  12. Understanding informal networks in higher education institutions: Theoretical concepts from a Russian and Norwegian perspective

    Directory of Open Access Journals (Sweden)

    Goes Sander

    2015-12-01

    Full Text Available This article discusses theoretical concepts with regard to informal networks in the Russian and Norwegian society and higher education institutions (HEI in particular. Informal networks are operative in both public and private organizations criss-crossing social and job-related networks within these organizations. Formal and informal contacts between representatives of HEIs in the Barents region are often the result of years of close cooperation on student exchange, research projects and joint academic programmes. The aim of this study is to explain theoretical perspectives in relation to informal networks from a Norwegian and a Russian perspective. Understanding both perspectives is essential before describing informal networks across different HEIs in the Barents region and valuable if we seek to study the impact of informal networks on the formal decision-making process. Informal networks are perceived differently because the formal structure in which they operate is different. Analysing the formal structure is therefore suggested in order to better understand the different perspectives surrounding formal/informal networks.

  13. Game Theoretical Analysis on Cooperation Stability and Incentive Effectiveness in Community Networks.

    Directory of Open Access Journals (Sweden)

    Kaida Song

    Full Text Available Community networks, the distinguishing feature of which is membership admittance, appear on P2P networks, social networks, and conventional Web networks. Joining the network costs money, time or network bandwidth, but the individuals get access to special resources owned by the community in return. The prosperity and stability of the community are determined by both the policy of admittance and the attraction of the privileges gained by joining. However, some misbehaving users can get the dedicated resources with some illicit and low-cost approaches, which introduce instability into the community, a phenomenon that will destroy the membership policy. In this paper, we analyze on the stability using game theory on such a phenomenon. We propose a game-theoretical model of stability analysis in community networks and provide conditions for a stable community. We then extend the model to analyze the effectiveness of different incentive policies, which could be used when the community cannot maintain its members in certain situations. Then we verify those models through a simulation. Finally, we discuss several ways to promote community network's stability by adjusting the network's properties and give some proposal on the designs of these types of networks from the points of game theory and stability.

  14. A study of brain networks associated with swallowing using graph-theoretical approaches.

    Directory of Open Access Journals (Sweden)

    Bo Luan

    Full Text Available Functional connectivity between brain regions during swallowing tasks is still not well understood. Understanding these complex interactions is of great interest from both a scientific and a clinical perspective. In this study, functional magnetic resonance imaging (fMRI was utilized to study brain functional networks during voluntary saliva swallowing in twenty-two adult healthy subjects (all females, [Formula: see text] years of age. To construct these functional connections, we computed mean partial correlation matrices over ninety brain regions for each participant. Two regions were determined to be functionally connected if their correlation was above a certain threshold. These correlation matrices were then analyzed using graph-theoretical approaches. In particular, we considered several network measures for the whole brain and for swallowing-related brain regions. The results have shown that significant pairwise functional connections were, mostly, either local and intra-hemispheric or symmetrically inter-hemispheric. Furthermore, we showed that all human brain functional network, although varying in some degree, had typical small-world properties as compared to regular networks and random networks. These properties allow information transfer within the network at a relatively high efficiency. Swallowing-related brain regions also had higher values for some of the network measures in comparison to when these measures were calculated for the whole brain. The current results warrant further investigation of graph-theoretical approaches as a potential tool for understanding the neural basis of dysphagia.

  15. LPI Optimization Framework for Target Tracking in Radar Network Architectures Using Information-Theoretic Criteria

    Directory of Open Access Journals (Sweden)

    Chenguang Shi

    2014-01-01

    Full Text Available Widely distributed radar network architectures can provide significant performance improvement for target detection and localization. For a fixed radar network, the achievable target detection performance may go beyond a predetermined threshold with full transmitted power allocation, which is extremely vulnerable in modern electronic warfare. In this paper, we study the problem of low probability of intercept (LPI design for radar network and propose two novel LPI optimization schemes based on information-theoretic criteria. For a predefined threshold of target detection, Schleher intercept factor is minimized by optimizing transmission power allocation among netted radars in the network. Due to the lack of analytical closed-form expression for receiver operation characteristics (ROC, we employ two information-theoretic criteria, namely, Bhattacharyya distance and J-divergence as the metrics for target detection performance. The resulting nonconvex and nonlinear LPI optimization problems associated with different information-theoretic criteria are cast under a unified framework, and the nonlinear programming based genetic algorithm (NPGA is used to tackle the optimization problems in the framework. Numerical simulations demonstrate that our proposed LPI strategies are effective in enhancing the LPI performance for radar network.

  16. A novel game theoretic approach for modeling competitive information diffusion in social networks with heterogeneous nodes

    Science.gov (United States)

    Agha Mohammad Ali Kermani, Mehrdad; Fatemi Ardestani, Seyed Farshad; Aliahmadi, Alireza; Barzinpour, Farnaz

    2017-01-01

    Influence maximization deals with identification of the most influential nodes in a social network given an influence model. In this paper, a game theoretic framework is developed that models a competitive influence maximization problem. A novel competitive influence model is additionally proposed that incorporates user heterogeneity, message content, and network structure. The proposed game-theoretic model is solved using Nash Equilibrium in a real-world dataset. It is shown that none of the well-known strategies are stable and at least one player has the incentive to deviate from the proposed strategy. Moreover, violation of Nash equilibrium strategy by each player leads to their reduced payoff. Contrary to previous works, our results demonstrate that graph topology, as well as the nodes' sociability and initial tendency measures have an effect on the determination of the influential node in the network.

  17. Structural network topology revealed by white matter tractography in cannabis users: a graph theoretical analysis.

    Science.gov (United States)

    Kim, Dae-Jin; Skosnik, Patrick D; Cheng, Hu; Pruce, Ben J; Brumbaugh, Margaret S; Vollmer, Jennifer M; Hetrick, William P; O'Donnell, Brian F; Sporns, Olaf; Puce, Aina; Newman, Sharlene D

    2011-01-01

    Endocannabinoid receptors modulate synaptic plasticity in the brain and may therefore impact cortical connectivity not only during development but also in response to substance abuse in later life. Such alterations may not be evident in volumetric measures utilized in brain imaging, but could affect the local and global organization of brain networks. To test this hypothesis, we used a novel computational approach to estimate network measures of structural brain connectivity derived from diffusion tensor imaging (DTI) and white matter tractography. Twelve adult cannabis (CB) users and 13 healthy subjects were evaluated using a graph theoretic analysis of both global and local brain network properties. Structural brain networks in both CB subjects and controls exhibited robust small-world network attributes in both groups. However, CB subjects showed significantly decreased global network efficiency and significantly increased clustering coefficients (degree to which nodes tend to cluster around individual nodes). CB subjects also exhibited altered patterns of local network organization in the cingulate region. Among all subjects, schizotypal and impulsive personality characteristics correlated with global efficiency but not with the clustering coefficient. Our data indicate that structural brain networks in CB subjects are less efficiently integrated and exhibit altered regional connectivity. These differences in network properties may reflect physiological processes secondary to substance abuse-induced synaptic plasticity, or differences in brain organization that increase vulnerability to substance use.

  18. Networked enzymatic logic gates with filtering: new theoretical modeling expressions and their experimental application.

    Science.gov (United States)

    Privman, Vladimir; Zavalov, Oleksandr; Halámková, Lenka; Moseley, Fiona; Halámek, Jan; Katz, Evgeny

    2013-12-05

    We report the first study of a network of connected enzyme-catalyzed reactions, with added chemical and enzymatic processes that incorporate the recently developed biochemical filtering steps into the functioning of this biocatalytic cascade. New theoretical expressions are derived to allow simple, few-parameter modeling of network components concatenated in such cascades, both with and without filtering. The derived expressions are tested against experimental data obtained for the realized network's responses, measured optically, to variations of its input chemicals' concentrations with and without filtering processes. We also describe how the present modeling approach captures and explains several observations and features identified in earlier studies of enzymatic processes when they were considered as potential network components for multistep information/signal processing systems.

  19. Computing distance-based topological descriptors of complex chemical networks: New theoretical techniques

    Science.gov (United States)

    Hayat, Sakander

    2017-11-01

    Structure-based topological descriptors/indices of complex chemical networks enable prediction of physico-chemical properties and the bioactivities of these compounds through QSAR/QSPR methods. In this paper, we have developed a rigorous computational and theoretical technique to compute various distance-based topological indices of complex chemical networks. A fullerene is called the IPR (Isolated-Pentagon-Rule) fullerene, if every pentagon in it is surrounded by hexagons only. To ensure the applicability of our technique, we compute certain distance-based indices of an infinite family of IPR fullerenes. Our results show that the proposed technique is more diverse and bears less algorithmic and combinatorial complexity.

  20. Experimental and Theoretical Analysis of Storage Friendly TCP Performance in Distributed Storage Area Network

    Directory of Open Access Journals (Sweden)

    Suresh Muknahallipatna

    2007-08-01

    Full Text Available Fibre channel storage area networks (SAN are widely implemented in production data center environments. Recently the storage industry has moved towards deployment of distributed SANs (DSAN, geographically dispersed across large physical distances. In a DSAN, specialized gateway devices interconnect the individual Fibre Channel (FC fabrics over IP networks using TCP/IP based protocols (iFCP or FCIP or over metro to long distance optical networks such as Dense Wavelength Division Multiplexing (DWDM based networks that utilize native FC ports supporting large numbers of link credits. When using TCP/IP based storage networking protocols to interconnect local FC fabrics in a DSAN, the sustained throughput achievable depends upon the link characteristics and TCP/IP stack implementation. Sustaining maximum possible storage traffic throughput across the wide area network enables practical DSAN deployments by maintaining the required site to site service level agreements.This study explores the effects of several TCP/IP modifications on sustained traffic throughput for a DSAN interconnected via iFCP gateways across an impaired network. The TCP/IP stack modifications, known as storage friendly, include changes to the window scaling, congestion avoidance, and fast recovery algorithms. The theoretical background and experimental results are presented to explain and illustrate these modifications.

  1. Approaching the theoretical capacitance of graphene through copper foam integrated three-dimensional graphene networks

    DEFF Research Database (Denmark)

    Dey, Ramendra Sundar; Hjuler, Hans Aage; Chi, Qijin

    2015-01-01

    We report a facile and low-cost approach for the preparation of all-in-one supercapacitor electrodes using copper foam (CuF) integrated three-dimensional (3D) reduced graphene oxide (rGO) networks. The binderfree 3DrGO@CuF electrodes are capable of delivering high specific capacitance approaching...... the theoretical capacitance of graphene and exhibiting high charge–discharge cycling stability....

  2. Reproducibility of Graph-Theoretic Brain Network Metrics: A Systematic Review

    OpenAIRE

    Welton, Thomas; Kent, Daniel A.; Auer, Dorothee P.; Dineen, Robert A.

    2015-01-01

    This systematic review aimed to assess the reproducibility of graph-theoretic brain network metrics. Primary research studies of test-retest reliability conducted on healthy human subjects were included that quantified test-retest reliability using either the intraclass correlation coefficient (ICC) or the coefficient of variance. The MEDLINE, Web of Knowledge, Google Scholar, and OpenGrey databases were searched up to February 2014. Risk of bias was assessed with 10 criteria weighted toward ...

  3. Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review.

    Science.gov (United States)

    Arguel, Amaël; Perez-Concha, Oscar; Li, Simon Y W; Lau, Annie Y S

    2016-10-06

    The aim of this review was to identify general theoretical frameworks used in online social network interventions for behavioral change. To address this research question, a PRISMA-compliant systematic review was conducted. A systematic review (PROSPERO registration number CRD42014007555) was conducted using 3 electronic databases (PsycINFO, Pubmed, and Embase). Four reviewers screened 1788 abstracts. 15 studies were selected according to the eligibility criteria. Randomized controlled trials and controlled studies were assessed using Cochrane Collaboration's "risk-of-bias" tool, and narrative synthesis. Five eligible articles used the social cognitive theory as a framework to develop interventions targeting behavioral change. Other theoretical frameworks were related to the dynamics of social networks, intention models, and community engagement theories. Only one of the studies selected in the review mentioned a well-known theory from the field of health psychology. Conclusions were that guidelines are lacking in the design of online social network interventions for behavioral change. Existing theories and models from health psychology that are traditionally used for in situ behavioral change should be considered when designing online social network interventions in a health care setting. © 2016 John Wiley & Sons, Ltd.

  4. A Game Theoretic Approach for Balancing Energy Consumption in Clustered Wireless Sensor Networks.

    Science.gov (United States)

    Yang, Liu; Lu, Yinzhi; Xiong, Lian; Tao, Yang; Zhong, Yuanchang

    2017-11-17

    Clustering is an effective topology control method in wireless sensor networks (WSNs), since it can enhance the network lifetime and scalability. To prolong the network lifetime in clustered WSNs, an efficient cluster head (CH) optimization policy is essential to distribute the energy among sensor nodes. Recently, game theory has been introduced to model clustering. Each sensor node is considered as a rational and selfish player which will play a clustering game with an equilibrium strategy. Then it decides whether to act as the CH according to this strategy for a tradeoff between providing required services and energy conservation. However, how to get the equilibrium strategy while maximizing the payoff of sensor nodes has rarely been addressed to date. In this paper, we present a game theoretic approach for balancing energy consumption in clustered WSNs. With our novel payoff function, realistic sensor behaviors can be captured well. The energy heterogeneity of nodes is considered by incorporating a penalty mechanism in the payoff function, so the nodes with more energy will compete for CHs more actively. We have obtained the Nash equilibrium (NE) strategy of the clustering game through convex optimization. Specifically, each sensor node can achieve its own maximal payoff when it makes the decision according to this strategy. Through plenty of simulations, our proposed game theoretic clustering is proved to have a good energy balancing performance and consequently the network lifetime is greatly enhanced.

  5. Water Organization and Dynamics on Mineral Surfaces Interrogated by Graph Theoretical Analyses of Intermolecular Chemical Networks

    Directory of Open Access Journals (Sweden)

    Abdullah Ozkanlar

    2014-03-01

    Full Text Available Intermolecular chemical networks defined by the hydrogen bonds formed at the α-quartz|water interface have been data-mined using graph theoretical methods so as to identify and quantify structural patterns and dynamic behavior. Using molecular-dynamics simulations data, the hydrogen bond (H-bond distributions for the water-water and water-silanol H-bond networks have been determined followed by the calculation of the persistence of the H-bond, the dipole-angle oscillations that water makes with the surface silanol groups over time, and the contiguous H-bonded chains formed at the interface. Changes in these properties have been monitored as a function of surface coverage. Using the H-bond distribution between water and the surface silanol groups, the actual number of waters adsorbed to the surface is found to be 0.6 H2O/10 Å2, irrespective of the total concentration of waters within the system. The unbroken H-bond network of interfacial waters extends farther than in the bulk liquid; however, it is more fluxional at low surface coverages (i.e., the H-bond persistence in a monolayer of water is shorter than in the bulk Concentrations of H2O at previously determined water adsorption sites have also been quantified. This work demonstrates the complementary information that can be obtained through graph theoretical analysis of the intermolecular H-bond networks relative to standard analyses of molecular simulation data.

  6. A Game Theoretic Optimization Method for Energy Efficient Global Connectivity in Hybrid Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    JongHyup Lee

    2016-08-01

    Full Text Available For practical deployment of wireless sensor networks (WSN, WSNs construct clusters, where a sensor node communicates with other nodes in its cluster, and a cluster head support connectivity between the sensor nodes and a sink node. In hybrid WSNs, cluster heads have cellular network interfaces for global connectivity. However, when WSNs are active and the load of cellular networks is high, the optimal assignment of cluster heads to base stations becomes critical. Therefore, in this paper, we propose a game theoretic model to find the optimal assignment of base stations for hybrid WSNs. Since the communication and energy cost is different according to cellular systems, we devise two game models for TDMA/FDMA and CDMA systems employing power prices to adapt to the varying efficiency of recent wireless technologies. The proposed model is defined on the assumptions of the ideal sensing field, but our evaluation shows that the proposed model is more adaptive and energy efficient than local selections.

  7. Comparison of functional network integrity in TBI and orthopedic controlpatientsusing graph-theoretical analysis.

    Science.gov (United States)

    Karmonik, Christof; Clark, Jessica; Fung, Steve H; Grossman, Robert G; High, Walter; Jiang, Yang

    2013-01-01

    The integrity of functional brain networks inpatients (n=12) diagnosed with traumatic brain injury (TBI) was compared to age-matched subjects (n=12) with orthopedic injury (OI) during a working memory task. A graph-theoretical analysis algorithm was developed and integrated into the AFNI software. Functional networks with correlations between time courses as edge-weights were automatically created and their integrity was quantified by determining the statistical significance of the following network parameters: diameter, density, clustering coefficient, average path length, two largest eigenvalues, spectral density, and minimum eccentricity. Network graphs using a spring-embedded layout (Cytoscape) and a 3D layout integrated into the anatomical space (Paraview) were created. Functional images were composed by color-coding the degree of each voxel (network node) and transformed into Talairach space. Using the AFNI Talairach atlas, degrees of distinct brain regions were quantified. Reduced averaged BOLD responses were found for the TBI group with a higher network integrity potentially as a compensatory mechanism. Regions of high functional connectivity varied in between groups with largest differences in the cerebellum, the temporal lobes and deep brain structures including the lentiform nucleus, caudate and thalamus.

  8. Impaired brain network architecture in newly diagnosed Parkinson's disease based on graph theoretical analysis.

    Science.gov (United States)

    Fang, Jinping; Chen, Huimin; Cao, Zhentang; Jiang, Ying; Ma, Lingyan; Ma, Huizi; Feng, Tao

    2017-09-14

    Resting state functional magnetic resonance imaging (rs-fMRI) has been applied to investigate topographic structure in Parkinson's disease (PD). Alteration of topographic architecture has been inconsistent in PD AIM: To investigate the network profile of PD using graph theoretical analysis. Twenty six newly diagnosed PD and 19 age- and gender- matched healthy controls (HC) were included in our analysis. Small-world profile and topographic profiles (nodal degree, global efficiency, local efficiency, cluster coefficient, shortest path length, betweenness centrality) were measured and compared between groups, with age and gender as covariates. We also performed correlation analysis between topographic features with motor severity measured by UPDRS III. Small-world property was present in PD. Nodal degree, global efficiency, local efficiency and characteristic path length consistently revealed disruptive sensorimotor network, and visual network to a less degree in PD. By contrast, default mode network (DMN) and cerebellum in PD showed higher nodal degree, global efficiency and local efficiency, and lower characteristic path length. Global and local efficiency in the midbrain was higher in PD excluding substantia nigra. PD group also exhibited lower cluster coefficient in the subcortical motor network (thalamus and caudate nucleus). No significant correlation was found between topographic properties and motor severity. PD exhibited disruptive sensorimotor and visual networks in early disease stage. DMN, a certain areas in the cerebellum and midbrain may compensate for disruptive sensorimotor and visual network in PD. Disruptive network architecture may be an early alteration of PD pathophysiology but may not serve as a valid biomarker yet. Copyright © 2017. Published by Elsevier B.V.

  9. Graph theoretical analysis of functional network for comprehension of sign language.

    Science.gov (United States)

    Liu, Lanfang; Yan, Xin; Liu, Jin; Xia, Mingrui; Lu, Chunming; Emmorey, Karen; Chu, Mingyuan; Ding, Guosheng

    2017-09-15

    Signed languages are natural human languages using the visual-motor modality. Previous neuroimaging studies based on univariate activation analysis show that a widely overlapped cortical network is recruited regardless whether the sign language is comprehended (for signers) or not (for non-signers). Here we move beyond previous studies by examining whether the functional connectivity profiles and the underlying organizational structure of the overlapped neural network may differ between signers and non-signers when watching sign language. Using graph theoretical analysis (GTA) and fMRI, we compared the large-scale functional network organization in hearing signers with non-signers during the observation of sentences in Chinese Sign Language. We found that signed sentences elicited highly similar cortical activations in the two groups of participants, with slightly larger responses within the left frontal and left temporal gyrus in signers than in non-signers. Crucially, further GTA revealed substantial group differences in the topologies of this activation network. Globally, the network engaged by signers showed higher local efficiency (t (24) =2.379, p=0.026), small-worldness (t (24) =2.604, p=0.016) and modularity (t (24) =3.513, p=0.002), and exhibited different modular structures, compared to the network engaged by non-signers. Locally, the left ventral pars opercularis served as a network hub in the signer group but not in the non-signer group. These findings suggest that, despite overlap in cortical activation, the neural substrates underlying sign language comprehension are distinguishable at the network level from those for the processing of gestural action. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. Modelling drying kinetics of thyme (Thymus vulgaris L.): theoretical and empirical models, and neural networks.

    Science.gov (United States)

    Rodríguez, J; Clemente, G; Sanjuán, N; Bon, J

    2014-01-01

    The drying kinetics of thyme was analyzed by considering different conditions: air temperature of between 40°C  and 70°C , and air velocity of 1 m/s. A theoretical diffusion model and eight different empirical models were fitted to the experimental data. From the theoretical model application, the effective diffusivity per unit area of the thyme was estimated (between 3.68 × 10(-5) and 2.12 × 10 (-4) s(-1)). The temperature dependence of the effective diffusivity was described by the Arrhenius relationship with activation energy of 49.42 kJ/mol. Eight different empirical models were fitted to the experimental data. Additionally, the dependence of the parameters of each model on the drying temperature was determined, obtaining equations that allow estimating the evolution of the moisture content at any temperature in the established range. Furthermore, artificial neural networks were developed and compared with the theoretical and empirical models using the percentage of the relative errors and the explained variance. The artificial neural networks were found to be more accurate predictors of moisture evolution with VAR ≥ 99.3% and ER ≤ 8.7%.

  11. Game theoretic analysis of congestion, safety and security networks, air traffic and emergency departments

    CERN Document Server

    Zhuang, Jun

    2015-01-01

    Maximizing reader insights into the roles of intelligent agents in networks, air traffic and emergency departments, this volume focuses on congestion in systems where safety and security are at stake, devoting special attention to applying game theoretic analysis of congestion to: protocols in wired and wireless networks; power generation, air transportation and emergency department overcrowding. Reviewing exhaustively the key recent research into the interactions between game theory, excessive crowding, and safety and security elements, this book establishes a new research angle by illustrating linkages between the different research approaches and serves to lay the foundations for subsequent analysis. Congestion (excessive crowding) is defined in this work as all kinds of flows; e.g., road/sea/air traffic, people, data, information, water, electricity, and organisms. Analyzing systems where congestion occurs – which may be in parallel, series, interlinked, or interdependent, with flows one way or both way...

  12. Game theoretic wireless resource allocation for H.264 MGS video transmission over cognitive radio networks

    Science.gov (United States)

    Fragkoulis, Alexandros; Kondi, Lisimachos P.; Parsopoulos, Konstantinos E.

    2015-03-01

    We propose a method for the fair and efficient allocation of wireless resources over a cognitive radio system network to transmit multiple scalable video streams to multiple users. The method exploits the dynamic architecture of the Scalable Video Coding extension of the H.264 standard, along with the diversity that OFDMA networks provide. We use a game-theoretic Nash Bargaining Solution (NBS) framework to ensure that each user receives the minimum video quality requirements, while maintaining fairness over the cognitive radio system. An optimization problem is formulated, where the objective is the maximization of the Nash product while minimizing the waste of resources. The problem is solved by using a Swarm Intelligence optimizer, namely Particle Swarm Optimization. Due to the high dimensionality of the problem, we also introduce a dimension-reduction technique. Our experimental results demonstrate the fairness imposed by the employed NBS framework.

  13. Overcoming prejudice.

    Science.gov (United States)

    Da Silva, J M; Correa, J; Terto, V

    1998-02-01

    People of African descent comprise a large proportion of Brazil's population. While racism exists in the country, it is commonly denied. Most Afro-Brazilians live in poor areas, with poor health care services, sanitation, schools, and transport. Since HIV is linked to poverty, Afro-Brazilians are more affected by HIV than is the overall population. Although Afro-Brazilians contribute to Brazil's culture, they do not benefit from that contribution. Recognizing this considerable social problem, Project Araye was created in 1996 to address issues of race and HIV. Building upon religious and cultural traditions, the project is staffed by Afro-Brazilians who are knowledgeable in both health issues and Afro-Brazilian culture. Project Araye supports a wide range of diverse community leaders in linking sexual health and HIV with other health concerns which affect Afro-Brazilians such as sickle-cell anemia, diabetes, and leprosy. One important challenge has been overcoming the target population's denial of HIV and encouraging Afro-Brazilians to accept that HIV also affects them. Community leaders include religious leaders, rap musicians, artists, and other people respected by various communities. Activities include visits to samba dance schools, Umbanda and Candomble temples, and street youth groups to provide HIV-related information.

  14. Game-Theoretic Optimal Power-Link Quality Topology Control in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Evangelos D. SPYROU

    2017-05-01

    Full Text Available One of the most significant problems in Wireless Sensor Network (WSN deployment is the generation of topologies that maximize transmission reliability and guarantee network connectivity while also maximizing the network’s lifetime. Transmission power settings have a large impact on the aforementioned factors. Increasing transmission power to provide coverage is the intuitive solution yet with it may come with lower packet reception and shorter network lifetime. However, decreasing the transmission power may result in the network being disconnected. To balance these trade-offs we propose a discrete strategy game-theoretic solution, which we call TopGame that aims to maximize the reliability between nodes while using the most appropriate level of transmission power that guarantees connectivity. In this paper, we provide the conditions for the convergence of our algorithm to a pure Nash equilibrium as well as experimental results. Here we show, using the Indriya WSN testbed, that TopGame is more energy-efficient and approaches a similar packet reception ratio with the current closest state of the art protocol ART. Finally, we provide a methodology for further optimization of our work using an indicator function to distinguish between satisfactory and poor links.

  15. Reproducibility of Graph-Theoretic Brain Network Metrics: A Systematic Review

    Science.gov (United States)

    Welton, Thomas; Kent, Daniel A.; Auer, Dorothee P.

    2015-01-01

    Abstract This systematic review aimed to assess the reproducibility of graph-theoretic brain network metrics. Primary research studies of test-retest reliability conducted on healthy human subjects were included that quantified test-retest reliability using either the intraclass correlation coefficient (ICC) or the coefficient of variance. The MEDLINE, Web of Knowledge, Google Scholar, and OpenGrey databases were searched up to February 2014. Risk of bias was assessed with 10 criteria weighted toward methodological quality. Twenty-three studies were included in the review (n=499 subjects) and evaluated for various characteristics, including sample size (5–45), retest interval (1 year), acquisition method, and test-retest reliability scores. For at least one metric, ICCs reached the fair range (ICC 0.40–0.59) in one study, the good range (ICC 0.60–0.74) in five studies, and the excellent range (ICC>0.74) in 16 studies. Heterogeneity of methods prevented further quantitative analysis. Reproducibility was good overall. For the metrics having three or more ICCs reported for both functional and structural networks, six of seven were higher in structural networks, indicating that structural networks may be more reliable over time. The authors were also able to highlight and discuss a number of methodological factors affecting reproducibility. PMID:25490902

  16. THEORETICAL EVALUATION OF NONLINEAR EFFECTS ON OPTICAL WDM NETWORKS WITH VARIOUS FIBER TYPES

    Directory of Open Access Journals (Sweden)

    YASIN M. KARFAA

    2010-09-01

    Full Text Available A theoretical study is carried out to evaluate the performance of an opticalwavelength division multiplexing (WDM network transmission system in the presenceof crosstalk due to optical fiber nonlinearities. The most significant nonlinear effects inthe optical fiber which are Cross-Phase Modulation (XPM, Four-Wave Mixing (FWM,and Stimulated Raman Scattering (SRS are investigated. Four types of optical fiber areincluded in the analysis; these are: single-mode fiber (SMF, dispersion compensationfiber (DCF, non-zero dispersion fiber (NZDF, and non-zero dispersion shifted fiber(NZDSF. The results represent the standard deviation of nonlinearity induced crosstalknoise power due to FWM and SRS, XPM power penalty for SMF, DCF, NZDF, andNZDSF types of fiber, besides the Bit Error Rate (BER for the three nonlinear effectsusing standard fiber type (SMF. It is concluded that three significant fiber nonlinearitiesare making huge limitations against increasing the launched power which is desired,otherwise, lower values of launched power limit network expansion including length,distance, covered areas, and number of users accessing the WDM network, unlesssuitable precautions are taken to neutralize the nonlinear effects. Besides, various fibertypes are not behaving similarly towards network parameters.

  17. A Continuous 3D-Graphene Network to Overcome Threshold Issues and Contact Resistance in Thermally Conductive Graphene Nanocomposites

    Directory of Open Access Journals (Sweden)

    Federico Conrado

    2017-01-01

    Full Text Available In order to overcome thermal resistance issues in polymeric matrix composites, self-standing graphene aerogels were synthetized and infiltrated with an epoxy resin, in order to create conductive preferential pathways through which heat can be easily transported. These continuous highly thermally conductive 3D-structures show, due to the high interconnection degree of graphene flakes, enhanced transport properties. Two kinds of aerogels were investigated, obtained by hydrothermal synthesis (HS and ice-templated direct freeze synthesis (DFS. Following HS method an isotropic structure is obtained, and following DFS method instead an anisotropic arrangement of graphene flakes results. The density of the structure can be tuned leading to a different amount of graphene inside the final composite. The residual oxygen, known to be detrimental to thermal properties, was removed by thermal treatment before the infiltration process. With 1,25 wt.% of graphene, using HS method, the thermal conductivity of the polymeric resin was increased by 80%, suggesting that this technique is a valid route to improve the thermal performance of graphene-based composites. When preferential orientation of the filler was present (DFS case, thermal conductivity was increased more than 25% with a graphene content of only 0,27 wt.%, demonstrating that oriented structures can further improve the thermal transport efficiency.

  18. A large scale analysis of information-theoretic network complexity measures using chemical structures.

    Directory of Open Access Journals (Sweden)

    Matthias Dehmer

    Full Text Available This paper aims to investigate information-theoretic network complexity measures which have already been intensely used in mathematical- and medicinal chemistry including drug design. Numerous such measures have been developed so far but many of them lack a meaningful interpretation, e.g., we want to examine which kind of structural information they detect. Therefore, our main contribution is to shed light on the relatedness between some selected information measures for graphs by performing a large scale analysis using chemical networks. Starting from several sets containing real and synthetic chemical structures represented by graphs, we study the relatedness between a classical (partition-based complexity measure called the topological information content of a graph and some others inferred by a different paradigm leading to partition-independent measures. Moreover, we evaluate the uniqueness of network complexity measures numerically. Generally, a high uniqueness is an important and desirable property when designing novel topological descriptors having the potential to be applied to large chemical databases.

  19. Cognitive eloquence in neurosurgery: Insight from graph theoretical analysis of complex brain networks.

    Science.gov (United States)

    Lang, Stefan

    2017-01-01

    The structure and function of the brain can be described by complex network models, and the topological properties of these models can be quantified by graph theoretical analysis. This has given insight into brain regions, known as hubs, which are critical for integrative functioning and information transfer, both fundamental aspects of cognition. In this manuscript a hypothesis is put forward for the concept of cognitive eloquence in neurosurgery; that is regions (cortical, subcortical and white matter) of the brain which may not necessarily have readily identifiable neurological function, but if injured may result in disproportionate cognitive morbidity. To this end, the effects of neurosurgical resection on cognition is reviewed and an overview of the role of complex network analysis in the understanding of brain structure and function is provided. The literature describing network, behavioral, and cognitive effects resulting from lesions to, and disconnections of, centralized hub regions will be emphasized as evidence for the espousal of the concept of cognitive eloquence. Copyright © 2016 Elsevier Ltd. All rights reserved.

  20. Theoretical model for mesoscopic-level scale-free self-organization of functional brain networks.

    Science.gov (United States)

    Piersa, Jaroslaw; Piekniewski, Filip; Schreiber, Tomasz

    2010-11-01

    In this paper, we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph self-organization phenomena emerging in complex nervous systems at a mesoscale level. In our model, each unit corresponds to a large number of neurons and may be roughly seen as abstracting the functional behavior exhibited by a single voxel under functional magnetic resonance imaging (fMRI). In the course of the dynamics, the units exchange portions of formal charge, which correspond to waves of activity in the underlying microscale neuronal circuit. The geometric model abstracts away the neuronal complexity and is mathematically tractable, which allows us to establish explicit results on its ground states and the resulting charge transfer graph modeling functional graph of the network. We show that, for a wide choice of parameters and geometrical setups, our model yields a scale-free functional connectivity with the exponent approaching 2, which is in agreement with previous empirical studies based on fMRI. The level of universality of the presented theory allows us to claim that the model does shed light on mesoscale functional self-organization phenomena of the nervous system, even without resorting to closer details of brain connectivity geometry which often remain unknown. The material presented here significantly extends our previous work where a simplified mean-field model in a similar spirit was constructed, ignoring the underlying network geometry.

  1. Tobacco control law implementation in a middle-income country: Transnational tobacco control network overcoming tobacco industry opposition in Colombia.

    Science.gov (United States)

    Uang, Randy; Crosbie, Eric; Glantz, Stanton A

    2017-08-17

    The objective of this paper is to examine the implementation of Colombia's tobacco control law. Methods involved are triangulated government legislation, news sources, and interviews with policy-makers and health advocates in Colombia. Colombia, a middle-income country, passed a tobacco control law in 2009 that included a prohibition on tobacco advertising, promotion, and sponsorship; and required pictorial health warning labels, ingredients disclosure, and a prohibition on individual cigarette sales. Tobacco companies challenged the implementation through litigation, tested government enforcement of advertising provisions and regulations on ingredients disclosure, and lobbied local governments to deprioritise policy responses to single cigarette sales. A transnational network including international health groups and funders helped strengthen domestic capacity to implement the law by; promoting public awareness of Ley [Law] 1335; training local health department staff on enforcement; facilitating health agencies' sharing of educational strategies; and providing legal defence assistance. This network included vigilant efforts by local health groups, which continuously monitored and alerted the media to noncompliance, engaged government officials and policy-makers on implementation, and raised public awareness. Support from international health NGOs and funders and continuous engagement by local health groups enhanced implementation capacities to counter continued tobacco industry interference and ensure effective tobacco control implementation.

  2. Ion aggregation in high salt solutions. IV. Graph-theoretical analyses of ion aggregate structure and water hydrogen bonding network

    Science.gov (United States)

    Choi, Jun-Ho; Cho, Minhaeng

    2015-09-01

    Ions in high salt solutions form a variety of ion aggregates, from ion pairs to clusters and networks. Their influences on water hydrogen bonding (H-bonding) network structures have long been of great interest. Recently, we have shown that the morphological structures of ion aggregates can be analyzed by using a spectral graph analysis theory, where each ion cluster or ion network is represented by a properly defined graph with edges and vertices. Here, to further examine the network properties of ion aggregates and water H-bonding networks in high salt solutions, we consider a few representative graph-theoretical descriptors: clustering coefficient, minimum path length, global efficiency, and degree distribution of ion aggregates. From the molecular dynamics trajectories, these graph theoretical properties of ion aggregates and water structures in NaCl and kosmotropic solutions are calculated and shown to be strongly dependent on the two types of ion aggregate structures, i.e., ion cluster and ion network. Ion clusters in high NaCl solutions exhibit typical behaviors of scale free network. The corresponding graph theoretical properties of ion networks in high KSCN solutions are notably different from those of NaCl ion clusters and furthermore they are very similar to those of water hydrogen-bonding network. The present graph-theoretical analysis results indicate that the high solubility limits of KSCN and other ion-network-forming salts might originate from their ability to form a large scale morphological network that can be intertwined with co-existing water H-bonding network. Furthermore, it is shown that the graph-theoretical properties of water H-bonding network structures do not strongly depend on the nature of dissolved ions nor on the morphological structures of ion aggregates, indicating that water's H-bonding interaction and network-forming capability are highly robust. We anticipate that the present graph-theoretical analysis results of high salt

  3. Ion aggregation in high salt solutions. IV. Graph-theoretical analyses of ion aggregate structure and water hydrogen bonding network.

    Science.gov (United States)

    Choi, Jun-Ho; Cho, Minhaeng

    2015-09-14

    Ions in high salt solutions form a variety of ion aggregates, from ion pairs to clusters and networks. Their influences on water hydrogen bonding (H-bonding) network structures have long been of great interest. Recently, we have shown that the morphological structures of ion aggregates can be analyzed by using a spectral graph analysis theory, where each ion cluster or ion network is represented by a properly defined graph with edges and vertices. Here, to further examine the network properties of ion aggregates and water H-bonding networks in high salt solutions, we consider a few representative graph-theoretical descriptors: clustering coefficient, minimum path length, global efficiency, and degree distribution of ion aggregates. From the molecular dynamics trajectories, these graph theoretical properties of ion aggregates and water structures in NaCl and kosmotropic solutions are calculated and shown to be strongly dependent on the two types of ion aggregate structures, i.e., ion cluster and ion network. Ion clusters in high NaCl solutions exhibit typical behaviors of scale free network. The corresponding graph theoretical properties of ion networks in high KSCN solutions are notably different from those of NaCl ion clusters and furthermore they are very similar to those of water hydrogen-bonding network. The present graph-theoretical analysis results indicate that the high solubility limits of KSCN and other ion-network-forming salts might originate from their ability to form a large scale morphological network that can be intertwined with co-existing water H-bonding network. Furthermore, it is shown that the graph-theoretical properties of water H-bonding network structures do not strongly depend on the nature of dissolved ions nor on the morphological structures of ion aggregates, indicating that water's H-bonding interaction and network-forming capability are highly robust. We anticipate that the present graph-theoretical analysis results of high salt

  4. AQM controller design for networks supporting TCP vegas: a control theoretical approach.

    Science.gov (United States)

    Bigdeli, Nooshin; Haeri, Mohammad

    2008-01-01

    In this paper, a mathematical model and control theoretical framework for designing AQM controllers in networks supporting TCP Vegas is introduced. We have emphasized on a modified TCP Vegas algorithm that can respond to congestion signals through explicit congestion notification (ECN). The overall nonlinear delayed differential equations of the dynamics model of closed loop system have been derived based on TCP Vegas model. The model is then linearized to derive a transfer function representation between the packet marking probability and the bottleneck router queue length as the input and output of the modified TCP Vegas/AQM system. The model properties have been then examined especially for the case of single bottleneck homogeneous network which is closely investigated. Finally an AQM controller based on Coefficient Diagram Method (CDM) has been designed for the system and its performance has been compared with some other AQM controllers. CDM is a new indirect pole placement method that considers the speed, stability and robustness of the closed loop system in terms of time domain specifications. In order for synthesizing the simulation scenarios, our campus router traffic has been studied experimentally for a sample period of one hour and the corresponding parameters has been extracted. The simulation results are representative of good performance of developed TCP Vegas/AQM structure for different simulated scenarios.

  5. Resource Allocation for Multicell Device-to-Device Communications in Cellular Network: A Game Theoretic Approach

    Directory of Open Access Journals (Sweden)

    Jun Huang

    2015-08-01

    Full Text Available Device-to-Device (D2D communication has recently emerged as a promising technology to improve the capacity and coverage of cellular systems. To successfully implement D2D communications underlaying a cellular network, resource allocation for D2D links plays a critical role. While most of prior resource allocation mechanisms for D2D communications have focused on interference within a single-cell system, this paper investigates the resource allocation problem for a multicell cellular network in which a D2D link reuses available spectrum resources of multiple cells. A repeated game theoretic approach is proposed to address the problem. In this game, the base stations (BSs act as players that compete for resource supply of D2D, and the utility of each player is formulated as revenue collected from both cellular and D2D users using resources. Extensive simulations are conducted to verify the proposed approach and the results show that it can considerably enhance the system performance in terms of sum rate and sum rate gain.

  6. Foreign Scholars′ Theoretical Approaches to Using Social Networks as Educational Strategies

    Directory of Open Access Journals (Sweden)

    Pazyura Natalia

    2017-06-01

    Full Text Available Modern trends in development of information and communication technologies change many aspects in the process of education: from the role of participants to the forms and methods of knowledge delivery. ICTs make it possible to develop students′ creative potential. The emergence of online social groups was an important event in the sphere of communication but with time they began to be used by both teachers and students not only for communication, but also to achieve learning goals. Without any doubt, skillful use of social networks allows teachers to communicate with students at modern technological level, make classes more attractive and effective. An efficient teacher can prove that social networks are not only means of entertainment and communication with friends but are a working tool. The main aim of foreign language teaching is students′ communicative activity or practical use of a target language. The teacher is to activate every student’s activity in the process of learning, make situations for their creativity. The main objective of foreign language teaching is to educate an individual, who is able to communicate, continue education, including selfeducation. Different theories lay the basis for the study of social networks’ influence on different aspects of human activity and, particularly, education. The main theories are sociocultural theory and social constructivist theory. According to sociocultural theory, man is an integral part of the world they live in, so students are not independent in their activities. Social constructivist theory recognizes that students act in a certain environment, which under certain conditions enlarges their practical knowledge. These theories are focused on the effect of social interaction, language and culture in the learning process. Thus, theoretical basis proves positive effect of social networks, namely, they enhance substantial interaction in the educational environment of social groups as

  7. Theoretical Analysis of the Mechanism of Fracture Network Propagation with Stimulated Reservoir Volume (SRV Fracturing in Tight Oil Reservoirs.

    Directory of Open Access Journals (Sweden)

    Yuliang Su

    Full Text Available Stimulated reservoir volume (SRV fracturing in tight oil reservoirs often induces complex fracture-network growth, which has a fundamentally different formation mechanism from traditional planar bi-winged fracturing. To reveal the mechanism of fracture network propagation, this paper employs a modified displacement discontinuity method (DDM, mechanical mechanism analysis and initiation and propagation criteria for the theoretical model of fracture network propagation and its derivation. A reasonable solution of the theoretical model for a tight oil reservoir is obtained and verified by a numerical discrete method. Through theoretical calculation and computer programming, the variation rules of formation stress fields, hydraulic fracture propagation patterns (FPP and branch fracture propagation angles and pressures are analyzed. The results show that during the process of fracture propagation, the initial orientation of the principal stress deflects, and the stress fields at the fracture tips change dramatically in the region surrounding the fracture. Whether the ideal fracture network can be produced depends on the geological conditions and on the engineering treatments. This study has both theoretical significance and practical application value by contributing to a better understanding of fracture network propagation mechanisms in unconventional oil/gas reservoirs and to the improvement of the science and design efficiency of reservoir fracturing.

  8. CAN TIGHT GROUPS AT WORK BE DETRIMENTAL? A THEORETICAL VIEW OF GOSSIP FROM THE NETWORK TIE STRENGTH AND DENSITY PERSPECTIVE

    OpenAIRE

    Alfred L. Luna; Decima Christine Garcia; Shih Yung Chou; Sara Jackson

    2013-01-01

    Given the importance of effective communication in organizational settings and the potential destructive impact of gossiping, greater research is needed to isolate those factors that enable negative gossip to occur. Although previous research has examined the effect of social network characteristics on gossip, the focus has not been on assessing the effect of social network tie strength and density on forms of gossip. In this article, we present a new theoretical framework for investigating h...

  9. Game Theoretical Approaches for Transport-Aware Channel Selection in Cognitive Radio Networks

    Directory of Open Access Journals (Sweden)

    Chen Shih-Ho

    2010-01-01

    Full Text Available Effectively sharing channels among secondary users (SUs is one of the greatest challenges in cognitive radio network (CRN. In the past, many studies have proposed channel selection schemes at the physical or the MAC layer that allow SUs swiftly respond to the spectrum states. However, they may not lead to enhance performance due to slow response of the transport layer flow control mechanism. This paper presents a cross-layer design framework called Transport Aware Channel Selection (TACS scheme to optimize the transport throughput based on states, such as RTT and congestion window size, of TCP flow control mechanism. We formulate the TACS problem as two different game theoretic approaches: Selfish Spectrum Sharing Game (SSSG and Cooperative Spectrum Sharing Game (CSSG and present novel distributed heuristic algorithms to optimize TCP throughput. Computer simulations show that SSSG and CSSG could double the SUs throughput of current MAC-based scheme when primary users (PUs use their channel infrequently, and with up to 12% to 100% throughput increase when PUs are more active. The simulation results also illustrated that CSSG performs up to 20% better than SSSG in terms of the throughput.

  10. Dynamics of the Drosophila circadian clock: theoretical anti-jitter network and controlled chaos.

    Science.gov (United States)

    Fathallah-Shaykh, Hassan M

    2010-10-13

    Electronic clocks exhibit undesirable jitter or time variations in periodic signals. The circadian clocks of humans, some animals, and plants consist of oscillating molecular networks with peak-to-peak time of approximately 24 hours. Clockwork orange (CWO) is a transcriptional repressor of Drosophila direct target genes. Theory and data from a model of the Drosophila circadian clock support the idea that CWO controls anti-jitter negative circuits that stabilize peak-to-peak time in light-dark cycles (LD). The orbit is confined to chaotic attractors in both LD and dark cycles and is almost periodic in LD; furthermore, CWO diminishes the Euclidean dimension of the chaotic attractor in LD. Light resets the clock each day by restricting each molecular peak to the proximity of a prescribed time. The theoretical results suggest that chaos plays a central role in the dynamics of the Drosophila circadian clock and that a single molecule, CWO, may sense jitter and repress it by its negative loops.

  11. Dynamics of the Drosophila circadian clock: theoretical anti-jitter network and controlled chaos.

    Directory of Open Access Journals (Sweden)

    Hassan M Fathallah-Shaykh

    Full Text Available BACKGROUND: Electronic clocks exhibit undesirable jitter or time variations in periodic signals. The circadian clocks of humans, some animals, and plants consist of oscillating molecular networks with peak-to-peak time of approximately 24 hours. Clockwork orange (CWO is a transcriptional repressor of Drosophila direct target genes. METHODOLOGY/PRINCIPAL FINDINGS: Theory and data from a model of the Drosophila circadian clock support the idea that CWO controls anti-jitter negative circuits that stabilize peak-to-peak time in light-dark cycles (LD. The orbit is confined to chaotic attractors in both LD and dark cycles and is almost periodic in LD; furthermore, CWO diminishes the Euclidean dimension of the chaotic attractor in LD. Light resets the clock each day by restricting each molecular peak to the proximity of a prescribed time. CONCLUSIONS/SIGNIFICANCE: The theoretical results suggest that chaos plays a central role in the dynamics of the Drosophila circadian clock and that a single molecule, CWO, may sense jitter and repress it by its negative loops.

  12. A game-theoretic approach to optimize ad hoc networks inspired by small-world network topology

    Science.gov (United States)

    Tan, Mian; Yang, Tinghong; Chen, Xing; Yang, Gang; Zhu, Guoqing; Holme, Petter; Zhao, Jing

    2018-03-01

    Nodes in ad hoc networks are connected in a self-organized manner. Limited communication radius makes information transmit in multi-hop mode, and each forwarding needs to consume the energy of nodes. Insufficient communication radius or exhaustion of energy may cause the absence of some relay nodes and links, further breaking network connectivity. On the other hand, nodes in the network may refuse to cooperate due to objective faulty or personal selfish, hindering regular communication in the network. This paper proposes a model called Repeated Game in Small World Networks (RGSWN). In this model, we first construct ad hoc networks with small-world feature by forming "communication shortcuts" between multiple-radio nodes. Small characteristic path length reduces average forwarding times in networks; meanwhile high clustering coefficient enhances network robustness. Such networks still maintain relative low global power consumption, which is beneficial to extend the network survival time. Then we use MTTFT strategy (Mend-Tolerance Tit-for-Tat) for repeated game as a rule for the interactions between neighbors in the small-world networks. Compared with other five strategies of repeated game, this strategy not only punishes the nodes' selfishness more reasonably, but also has the best tolerance to the network failure. This work is insightful for designing an efficient and robust ad hoc network.

  13. Preventing Wormhole Attacks on Wireless Ad Hoc Networks: A Graph Theoretic Approach

    National Research Council Canada - National Science Library

    Lazos, L; Poovendran, Radha; Meadows, C; Syverson, P; Chang, L. W

    2005-01-01

    We study the problem of characterizing the wormhole attack, an attack that can be mounted on a wide range of wireless network protocols without compromising any cryptographic quantity or network node...

  14. Percolation centrality: quantifying graph-theoretic impact of nodes during percolation in networks.

    Directory of Open Access Journals (Sweden)

    Mahendra Piraveenan

    Full Text Available A number of centrality measures are available to determine the relative importance of a node in a complex network, and betweenness is prominent among them. However, the existing centrality measures are not adequate in network percolation scenarios (such as during infection transmission in a social network of individuals, spreading of computer viruses on computer networks, or transmission of disease over a network of towns because they do not account for the changing percolation states of individual nodes. We propose a new measure, percolation centrality, that quantifies relative impact of nodes based on their topological connectivity, as well as their percolation states. The measure can be extended to include random walk based definitions, and its computational complexity is shown to be of the same order as that of betweenness centrality. We demonstrate the usage of percolation centrality by applying it to a canonical network as well as simulated and real world scale-free and random networks.

  15. Overcoming Resistance to Change: Theoretical Approaches and Implementation Преодоление сопротивления изменениям: теоретические подходы и реализация

    National Research Council Canada - National Science Library

    Amosov Oleg Yu; Didenko Nataliya V

    2013-01-01

    .... The purpose of this study is to review the rationale for the scientific and theoretical approaches to overcome resistance to change and the development of activities having an anti-crisis character...

  16. Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Jieqiong [Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Beijing (China); Li, Ting; Xian, Junfang [Capital Medical University, Department of Radiology, Beijing Tongren Hospital, Beijing (China); Wang, Ningli [Capital Medical University, Department of Ophthalmology, Beijing Tongren Hospital, Beijing (China); He, Huiguang [Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Beijing (China); Chinese Academy of Sciences, Research Center for Brain-Inspired Intelligence, Institute of Automation, Beijing (China)

    2016-11-15

    Most previous glaucoma studies with resting-state fMRI have focused on the neuronal activity in the individual structure of the brain, yet ignored the functional communication of anatomically separated structures. The purpose of this study is to investigate the efficiency of the functional communication change or not in glaucoma patients. We applied the resting-state fMRI data to construct the connectivity network of 25 normal controls and 25 age-gender-matched primary open angle glaucoma patients. Graph theoretical analysis was performed to assess brain network pattern differences between the two groups. No significant differences of the global network measures were found between the two groups. However, the local measures were radically reorganized in glaucoma patients. Comparing with the hub regions in normal controls' network, we found that six hub regions disappeared and nine hub regions appeared in the network of patients. In addition, the betweenness centralities of two altered hub regions, right fusiform gyrus and right lingual gyrus, were significantly correlated with the visual field mean deviation. Although the efficiency of functional communication is preserved in the brain network of the glaucoma at the global level, the efficiency of functional communication is altered in some specialized regions of the glaucoma. (orig.)

  17. Overcoming Breastfeeding Challenges

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    Full Text Available ... Only Natural email updates. Enter email address Submit Home > It's Only Natural > Overcoming challenges Overcoming breastfeeding challenges YouTube embed video: YouTube embed video: https:// ...

  18. Game Theoretic Models of Competition and Upgrade Investments in Communication Networks

    Science.gov (United States)

    Wu, Shuang

    2010-01-01

    In the first part of this dissertation, we study the competition among network service providers in a parallel-link network with the presence of elastic user demand that diminishes both with higher prices and congestion. First we analyze a game where providers strategically price their service for single class of traffic. Later we analyze a game…

  19. An Information Theoretic Investigation Of Complex Adaptive Supply Networks With Organizational Topologies

    Science.gov (United States)

    2016-12-22

    trains of organizational elements, just as in neuroscience , one can determine the information flow patterns through the organization . [9] 6 Transfer...many service industries. Organizations have been noted to behave as complex adaptive systems or information supply networks with both formal and...informal structures. Thoroughly understanding supply network structure and behavior are critical to managing such organizations effectively, but their

  20. Evolving ICT and governance in organizational networks: Conceptual and theoretical foundations

    NARCIS (Netherlands)

    Loukis, E; Janssen, M.F.W.H.A.; Dawes, S.; Zheng, L

    2016-01-01

    Both private and public sector organizations tend to participate in networks in order to gain access to knowledge, skills and resources of other organizations and to create synergies to achieve highly demanding and complex goals they cannot attain individually. The governance of these networks has

  1. Statistics of interacting networks with extreme preferred degrees: Simulation results and theoretical approaches

    Science.gov (United States)

    Liu, Wenjia; Schmittmann, Beate; Zia, R. K. P.

    2012-02-01

    Network studies have played a central role for understanding many systems in nature - e.g., physical, biological, and social. So far, much of the focus has been the statistics of networks in isolation. Yet, many networks in the world are coupled to each other. Recently, we considered this issue, in the context of two interacting social networks. In particular, We studied networks with two different preferred degrees, modeling, say, introverts vs. extroverts, with a variety of ``rules for engagement.'' As a first step towards an analytically accessible theory, we restrict our attention to an ``extreme scenario'': The introverts prefer zero contacts while the extroverts like to befriend everyone in the society. In this ``maximally frustrated'' system, the degree distributions, as well as the statistics of cross-links (between the two groups), can depend sensitively on how a node (individual) creates/breaks its connections. The simulation results can be reasonably well understood in terms of an approximate theory.

  2. Graph Theoretical Analysis of Developmental Patterns of the White Matter Network

    Directory of Open Access Journals (Sweden)

    Zhang eChen

    2013-11-01

    Full Text Available Understanding the development of human brain organization is critical for gaining insight into how the enhancement of cognitive processes is related to the fine-tuning of the brain network. However, the developmental trajectory of the large-scale white matter (WM network is not fully understood. Here, using graph theory, we examine developmental changes in the organization of WM networks in 180 typically-developing participants. WM networks were constructed using whole brain tractography and 78 cortical regions of interest were extracted from each participant. The subjects were first divided into 5 equal sample size (n=36 groups (early childhood: 6.0-9.7 years; late childhood: 9.8-12.7 years; adolescence: 12.9-17.5 years; young adult: 17.6-21.8 years; adult: 21.9-29.6 years. Most prominent changes in the topological properties of developing brain networks occur at late childhood and adolescence. During late childhood period, the structural brain network showed significant increase in the global efficiency but decrease in modularity, suggesting a shift of topological organization toward a more randomized configuration. However, while preserving most topological features, there was a significant increase in the local efficiency at adolescence, suggesting the dynamic process of rewiring and rebalancing brain connections at different growth stages. In addition, several pivotal hubs were identified that are vital for the global coordination of information flow over the whole brain network across all age groups. Significant increases of nodal efficiency were present in several regions such as precuneus at late childhood. Finally, a stable and functionally/anatomically related modular organization was identified throughout the development of the WM network. This study used network analysis to elucidate the topological changes in brain maturation, paving the way for developing novel methods for analyzing disrupted brain connectivity in

  3. The Theoretical Foundations of Enhancing the Degree of Survivability of the Fuzzy Network of Airports up to the Specified Level

    Directory of Open Access Journals (Sweden)

    Oleshko Tamara I.

    2017-03-01

    Full Text Available The article provides the theoretical foundations of building a graph model of the survivability of a fuzzy network in terms of the theory of fuzzy sets of the second type. The possibility and the correctness of generalizing the concept of the fuzzy graph in terms of presentation of the set of n-ary relations for an arbitrary finite n ? ? have been studied. Definitions of the fuzzy hypergraph have been introduced. The natural spread of the concept of the degree of survivability on the hypergraph has been displayed. The main cases of reducing the survivability of the fuzzy oriented graph have been specified. Analyzes of the task of increasing the degree of survivability of a fuzzy transportation network by the criterion of least cost and its interpretation in the matters of air transportation have been carried out. The authors suggest a modification of the known algorithm that allows to increase the sum value of the functions of membership of the fuzzy graph edges so that its survivability can reach the desired value. It has been substantiated that, using the considered theoretical foundations, the proposed algorithm allows to enhance the degree of survivability of the fuzzy network of airports up to the specified level.

  4. A Game Theoretic Approach for Modeling Privacy Settings of an Online Social Network

    Directory of Open Access Journals (Sweden)

    Jundong Chen

    2014-05-01

    Full Text Available Users of online social networks often adjust their privacy settings to control how much information on their profiles is accessible to other users of the networks. While a variety of factors have been shown to affect the privacy strategies of these users, very little work has been done in analyzing how these factors influence each other and collectively contribute towards the users’ privacy strategies. In this paper, we analyze the influence of attribute importance, benefit, risk and network topology on the users’ attribute disclosure behavior by introducing a weighted evolutionary game model. Results show that: irrespective of risk, users aremore likely to reveal theirmost important attributes than their least important attributes; when the users’ range of influence is increased, the risk factor plays a smaller role in attribute disclosure; the network topology exhibits a considerable effect on the privacy in an environment with risk.

  5. Theoretical framework on selected core issues on conditions for productive learning in networked learning environments

    DEFF Research Database (Denmark)

    Dirckinck-Holmfeld, Lone; Svendsen, Brian Møller; Ponti, Marisa

    The report documents and summarises the elements and dimensions that have been identified to describe and analyse the case studies collected in the Kaleidoscope Jointly Executed Integrating Research Project (JEIRP) on Conditions for productive learning in network learning environments....

  6. Exploring triad-rich substructures by graph-theoretic characterizations in complex networks

    OpenAIRE

    Jia, Songwei; Gao, Lin; Gao, Yong; Nastos, James; Wen, Xiao; Zhang, Xindong; Wang, Haiyang

    2016-01-01

    One of the most important problems in complex networks is how to detect metadata groups accurately. The main challenge lies in the fact that traditional structural communities do not always capture the intrinsic features of metadata groups. Motivated by the observation that metadata groups in PPI networks tend to consist of an abundance of interacting triad motifs, we define a 2-club substructure with diameter 2 which possessing triad-rich property to describe a metadata group. Based on the t...

  7. A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jianhua Liu

    2014-01-01

    Full Text Available The coordinator is a specific node that controls the whole network and has a significant impact on the performance in cooperative multihop ZigBee wireless sensor networks (ZWSNs. However, the malicious node attacks coordinator nodes in an effort to waste the resources and disrupt the operation of the network. Attacking leads to a failure of one round of communication between the source nodes and destination nodes. Coordinator selection is a technique that can considerably defend against attack and reduce the data delivery delay, and increase network performance of cooperative communications. In this paper, we propose an adaptive coordinator selection algorithm using game and fuzzy logic aiming at both minimizing the average number of hops and maximizing network lifetime. The proposed game model consists of two interrelated formulations: a stochastic game for dynamic defense and a best response policy using evolutionary game formulation for coordinator selection. The stable equilibrium best policy to response defense is obtained from this game model. It is shown that the proposed scheme can improve reliability and save energy during the network lifetime with respect to security.

  8. Estimating the Theoretical Value for LAN Network Throughput Based Power Line Communications Technology Under the Homeplug 1.0 Standard

    Directory of Open Access Journals (Sweden)

    Martha Fabiola Contreras Higuera

    2013-06-01

    transmission of information using the grid as a physical means of transmission. The analysis considers the influence of the size of the packages, number of stations, mechanisms of access to the medium, the window size of initial containment, among other important aspects; in order to analyze the behavior of the Throughput on LAN networks, making use of PLC technology for their implementation at the theoretical level.

  9. Quantitative evaluation of simulated functional brain networks in graph theoretical analysis.

    Science.gov (United States)

    Lee, Won Hee; Bullmore, Ed; Frangou, Sophia

    2017-02-01

    There is increasing interest in the potential of whole-brain computational models to provide mechanistic insights into resting-state brain networks. It is therefore important to determine the degree to which computational models reproduce the topological features of empirical functional brain networks. We used empirical connectivity data derived from diffusion spectrum and resting-state functional magnetic resonance imaging data from healthy individuals. Empirical and simulated functional networks, constrained by structural connectivity, were defined based on 66 brain anatomical regions (nodes). Simulated functional data were generated using the Kuramoto model in which each anatomical region acts as a phase oscillator. Network topology was studied using graph theory in the empirical and simulated data. The difference (relative error) between graph theory measures derived from empirical and simulated data was then estimated. We found that simulated data can be used with confidence to model graph measures of global network organization at different dynamic states and highlight the sensitive dependence of the solutions obtained in simulated data on the specified connection densities. This study provides a method for the quantitative evaluation and external validation of graph theory metrics derived from simulated data that can be used to inform future study designs. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

  10. Robust Network Architecture Against Random Threats in WMD Environments: Theoretical Limits and Recovery Strategies

    Science.gov (United States)

    2017-08-01

    help us understand how a social environment evolves so that we are able to make predictions about its impact. Moreover, we might even learn how to...Mika, B. Schlkopf, and R. Williamson, “ Regularized principal manifolds,” Journal of Machine Learning Research,, vol. 1, pp. 179–209, June 2001. [74] H...Architecture Against Random Threats in WMD Environments : Theoretical Limits and Recovery Strategies Distribution Statement A. Approved for public

  11. Biological and theoretical relevance of some connectionist assumptions. The development of conceptual networks

    NARCIS (Netherlands)

    Delgado, JFR; Dalenoort, GJ; Gracia, AP

    2000-01-01

    For the study of psychological processes in cognitive science modelling two general approaches rule nowadays research: Artificial Intelligence (top-down) functional symbolic models, and Connectionist (bottom-up) neural networks modelling. Our goal in this paper is to show that analyzing the

  12. The interplay between social networks and culture: theoretically and among whales and dolphins.

    Science.gov (United States)

    Cantor, Mauricio; Whitehead, Hal

    2013-05-19

    Culture is increasingly being understood as a driver of mammalian phenotypes. Defined as group-specific behaviour transmitted by social learning, culture is shaped by social structure. However, culture can itself affect social structure if individuals preferentially interact with others whose behaviour is similar, or cultural symbols are used to mark groups. Using network formalism, this interplay can be depicted by the coevolution of nodes and edges together with the coevolution of network topology and transmission patterns. We review attempts to model the links between the spread, persistence and diversity of culture and the network topology of non-human societies. We illustrate these processes using cetaceans. The spread of socially learned begging behaviour within a population of bottlenose dolphins followed the topology of the social network, as did the evolution of the song of the humpback whale between breeding areas. In three bottlenose dolphin populations, individuals preferentially associated with animals using the same socially learned foraging behaviour. Homogeneous behaviour within the tight, nearly permanent social structures of the large matrilineal whales seems to result from transmission bias, with cultural symbols marking social structures. We recommend the integration of studies of culture and society in species for which social learning is an important determinant of behaviour.

  13. Co-evolution of Social Networks and Behavior in Social Dilemmas: Theoretical and Empirical Perspectives

    NARCIS (Netherlands)

    Corten, R.|info:eu-repo/dai/nl/304835145

    2009-01-01

    Social networks play an important role in explanations of outcomes of social dilemmas; situations in which goal-directed individual action can lead to a collectively suboptimal outcome. Among these dilemmas are the cooperation- and coordination problems that underlie many social phenomena. In most

  14. Information-theoretic versus thermodynamic entropy production in autonomous sensory networks

    Science.gov (United States)

    Barato, A. C.; Hartich, D.; Seifert, U.

    2013-04-01

    For sensory networks, we determine the rate with which they acquire information about the changing external conditions. Comparing this rate with the thermodynamic entropy production that quantifies the cost of maintaining the network, we find that there is no universal bound restricting the rate of obtaining information to be less than this thermodynamic cost. These results are obtained within a general bipartite model consisting of a stochastically changing environment that affects the instantaneous transition rates within the system. Moreover, they are illustrated with a simple four-states model motivated by cellular sensing. On the technical level, we obtain an upper bound on the rate of mutual information analytically and calculate this rate with a numerical method that estimates the entropy of a time series generated with a simulation.

  15. A Theoretical Analysis of the Role of Social Networks in Entrepreneurship

    OpenAIRE

    Leyden, Dennis P.; Link, Albert N.; Siegel, Donald S.

    2013-01-01

    Entrepreneurship involves innovation and uncertainty. We outline a theory of entrepreneurship, which highlights the importance of social networks in promoting innovation and reducing uncertainty. Our findings suggest that this “social” aspect of entrepreneurship increases the probability of entrepreneurial success. The results also lend credence to theories of entrepreneurship that suggest that entrepreneurial opportunities are formed endogenously by the entrepreneurs who create them. We also...

  16. Human brain networks in physiological aging: a graph theoretical analysis of cortical connectivity from EEG data.

    Science.gov (United States)

    Vecchio, Fabrizio; Miraglia, Francesca; Bramanti, Placido; Rossini, Paolo Maria

    2014-01-01

    Modern analysis of electroencephalographic (EEG) rhythms provides information on dynamic brain connectivity. To test the hypothesis that aging processes modulate the brain connectivity network, EEG recording was conducted on 113 healthy volunteers. They were divided into three groups in accordance with their ages: 36 Young (15-45 years), 46 Adult (50-70 years), and 31 Elderly (>70 years). To evaluate the stability of the investigated parameters, a subgroup of 10 subjects underwent a second EEG recording two weeks later. Graph theory functions were applied to the undirected and weighted networks obtained by the lagged linear coherence evaluated by eLORETA on cortical sources. EEG frequency bands of interest were: delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), beta2 (20-30 Hz), and gamma (30-40 Hz). The spectral connectivity analysis of cortical sources showed that the normalized Characteristic Path Length (λ) presented the pattern Young > Adult>Elderly in the higher alpha band. Elderly also showed a greater increase in delta and theta bands than Young. The correlation between age and λ showed that higher ages corresponded to higher λ in delta and theta and lower in the alpha2 band; this pattern reflects the age-related modulation of higher (alpha) and decreased (delta) connectivity. The Normalized Clustering coefficient (γ) and small-world network modeling (σ) showed non-significant age-modulation. Evidence from the present study suggests that graph theory can aid in the analysis of connectivity patterns estimated from EEG and can facilitate the study of the physiological and pathological brain aging features of functional connectivity networks.

  17. Network Northamptonshire: total transport smart city procurement theoretical framework for sustainable economic and social change

    OpenAIRE

    Fassam, Liam; Copsey, S; Gough, Andrew

    2016-01-01

    Culture, governance and procurement remains under-researched in current academic literature within a smart city transportation context, with evidence suggesting that procurement is a much-needed aspect of bringing about change at local government level; however, little evidence exists to support this. This paper showcases the research based upon the “Network Northamptonshire” total transport project, whereby a review of the county’s transportation, both public and private, is being undertaken...

  18. Task-linked Diurnal Brain Network Reorganization in Older Adults: A Graph Theoretical Approach.

    Science.gov (United States)

    Anderson, John A E; Sarraf, Saman; Amer, Tarek; Bellana, Buddhika; Man, Vincent; Campbell, Karen L; Hasher, Lynn; Grady, Cheryl L

    2017-03-01

    Testing older adults in the morning generally improves behavioral performance relative to afternoon testing. Morning testing is also associated with brain activity similar to that of young adults. Here, we used graph theory to explore how time of day (TOD) affects the organization of brain networks in older adults across rest and task states. We used nodes from the automated anatomical labeling atlas to construct participant-specific correlation matrices of fMRI data obtained during 1-back tasks with interference and rest. We computed pairwise group differences for key graph metrics, including small-worldness and modularity. We found that older adults tested in the morning and young adults did not differ on any graph metric. Both of these groups differed from older adults tested in the afternoon during the tasks-but not rest. Specifically, the latter group had lower modularity and small-worldness (indices of more efficient network organization). Across all groups, higher modularity and small-worldness strongly correlated with reduced distractibility on an implicit priming task. Increasingly, TOD is seen as important for interpreting and reproducing neuroimaging results. Our study emphasizes how TOD affects brain network organization and executive control in older adults.

  19. Human brain networks in cognitive decline: a graph theoretical analysis of cortical connectivity from EEG data.

    Science.gov (United States)

    Vecchio, Fabrizio; Miraglia, Francesca; Marra, Camillo; Quaranta, Davide; Vita, Maria Gabriella; Bramanti, Placido; Rossini, Paolo Maria

    2014-01-01

    The aim of this study was to investigate the neuronal network characteristics in physiological and pathological brain aging. A database of 378 participants divided in three groups was analyzed: Alzheimer's disease (AD), mild cognitive impairment (MCI), and normal elderly (Nold) subjects. Through EEG recordings, cortical sources were evaluated by sLORETA software, while graph theory parameters (Characteristic Path Length λ, Clustering coefficient γ, and small-world network σ) were computed to the undirected and weighted networks, obtained by the lagged linear coherence evaluated by eLORETA software. EEG cortical sources from spectral analysis showed significant differences in delta, theta, and alpha 1 bands. Furthermore, the analysis of eLORETA cortical connectivity suggested that for the normalized Characteristic Path Length (λ) the pattern differences between normal cognition and dementia were observed in the theta band (MCI subjects are find similar to healthy subjects), while for the normalized Clustering coefficient (γ) a significant increment was found for AD group in delta, theta, and alpha 1 bands; finally, the small world (σ) parameter presented a significant interaction between AD and MCI groups showing a theta increase in MCI. The fact that AD patients respect the MCI subjects were significantly impaired in theta but not in alpha bands connectivity are in line with the hypothesis of an intermediate status of MCI between normal condition and overt dementia.

  20. A game theoretical approach for cooperative environmentally friendly cellular networks powered by the smart grid

    KAUST Repository

    Ghazzai, Hakim

    2014-11-01

    This paper investigates the collaboration between multiple mobile operators to optimize the energy efficiency of cellular networks, maximize their profits or achieve or tradeoff between both objectives. Mobile operators cooperate together by eliminating redundant base stations (BSs) using a low complexity algorithm that aims to maximize their objective functions subject to a quality of service constraint. The problem is modeled as a two-level Stackelberg game: a mobile operator level and a smart grid level. Indeed, in our framework, we assume that cellular networks are powered by multiple energy providers existing in the smart grid characterized by different pollutant levels in addition to renewable energy source deployed in BS sites. The objective is to find the best active BS combination and the optimal procurement decision needed to the network operation during collaboration by considering electricity real-time pricing. Our study includes the daily traffic variation in addition to the daily green energy availability. Our simulation results show a significant saving in terms of CO2 emissions compared to the non-collaboration case and that cooperative mobile operators exploiting renewables are more awarded than traditional operators. © 2014 IEEE.

  1. Overcoming Breastfeeding Challenges

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    Full Text Available ... size | Print | Skip left navigation It's Only Natural Planning ahead Overcoming challenges Overcoming breastfeeding challenges Dealing with ... it into your life My breastfeeding story Partner resources ... U.S. Department of Health and Human Services 200 Independence Avenue, S.W. • Washington, DC ...

  2. Overcoming Breastfeeding Challenges

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    Full Text Available ... Health Skip Navigation En Español Skip top navigation Home A-Z Health Topics Printables and Shareables Blog ... Only Natural email updates. Enter email address Submit Home > It's Only Natural > Overcoming challenges Overcoming breastfeeding challenges ...

  3. Investigating Brain Network Characteristics Interrupted by Covert White Matter Injury in Patients with Moyamoya Disease: Insights from Graph Theoretical Analysis.

    Science.gov (United States)

    Kazumata, Ken; Tha, Khin Khin; Narita, Hisashi; Shichinohe, Hideo; Ito, Masaki; Uchino, Haruto; Abumiya, Takeo

    2016-05-01

    Chronic ischemia in adult moyamoya disease (MMD) reduces the integrity of normal-appearing white matter (WM). We investigated whether covert WM impairment alters large-scale brain networks and specific neural circuits associated with neurocognitive dysfunction in MMD. Forty-six participants (control, n = 23; MMD, n = 23) were examined using diffusion tensor imaging and streamline tractography. Structural connectivity among 90 cortical and subcortical brain regions was evaluated using the mean fractional anisotropy along the fiber tracts. Graph theoretical analysis was used to measure network parameters and inter-regional connectivity. Global network parameters were reduced in patients with MMD, including cluster coefficient (controls vs. MMD: 3.62 ± 0.24 vs. 3.26 ± 0.36; P < 0.0001), characteristic path length (controls vs. MMD: 1.20 ± 0.02 vs. 1.17 ± 0.01; P < 0.001), and small-world property (controls vs. MMD: 3.07 ± 0.18 vs. 2.83 ± 0.27; P < 0.001). Reduced pairwise connectivity was found in prefrontal neural circuits within the middle/inferior frontal gyrus; supplementary motor area; and insular, inferior temporal, and dorsal cingulate cortices. Covert WM microstructural changes in patients with MMD alter large-scale brain networks, as well as lateral prefrontal neural circuits. Evaluation of structural connectivity may be useful to assess the severity of chronic ischemic injury from a network perspective. Copyright © 2015 Elsevier Inc. All rights reserved.

  4. From 1D chain to 3D network: A theoretical study on TiO{sub 2} low dimensional structures

    Energy Technology Data Exchange (ETDEWEB)

    Guo, Ling-ju; He, Tao, E-mail: het@nanoctr.cn [CAS Laboratory of Nanosystem and Hierarchical Fabrication, National Center for Nanoscience and Technology, Beijing 100190 (China); Zeng, Zhi [Chinese Academy of Sciences, Institute of Solid State Physics, Hefei 230031 (China)

    2015-06-14

    We have performed a systematic study on a series of low dimensional TiO{sub 2} nanostructures under density functional theory methods. The geometries, stabilities, growth mechanism, and electronic structures of 1D chain, 2D ring, 2D ring array, and 3D network of TiO{sub 2} nanostructures are analyzed. Based on the Ti{sub 2}O{sub 4} building unit, a series of 1D TiO{sub 2} nano chains and rings can be built. Furthermore, 2D ring array and 3D network nanostructures can be constructed from 1D chains and rings. Among non-periodic TiO{sub 2} chain and ring structures, one series of ring structures is found to be more stable. The geometry model of the 2D ring arrays and 3D network structures in this work has provided a theoretical understanding on the structure information in experiments. Based on these semiconductive low dimensional structures, moreover, it can help to understand and design new hierarchical TiO{sub 2} nanostructure in the future.

  5. Networks and Mechanisms of Interdependence. Theoretical developments beyond the rational action model

    Directory of Open Access Journals (Sweden)

    González-Bailón, Sandra

    2009-12-01

    Full Text Available There is interdependence when the actions of an individual influence the decisions (and later actions of other individuals. This paper claims that social networks define the structure of that range of influence and unleash a number of mechanisms that go beyond those captured by rational action theory. Networks give access to the ideas and actions of other individuals, and this exposure determines the activation of thresholds, the timing of actions, and the emergence of contagion processes, informational cascades and epidemics. This paper sustains that rational action theory does not offer the necessary tools to model these processes if it is not inserted in a general theory of networks. This is especially the case in the context opened by new information and communication technologies, where the interdependence of individuals is acquiring greater empirical relevance.

    Existe interdependencia cuando las acciones de unos individuos influyen en las decisiones (y posteriores acciones de otros individuos. Este artículo sostiene que las redes sociales definen la estructura de ese espacio de influencia y desatan una serie de mecanismos de los que la teoría de la elección racional no puede dar cuenta. Las redes sociales abren acceso a las ideas y acciones de otros individuos, y esta exposición determina la satisfacción de umbrales, el tempo con en el que se llevan a cabo las acciones y la emergencia de procesos de contagio, cascadas de información y epidemias. Este artículo defiende que la teoría de la elección racional no ofrece las herramientas necesarias para modelizar tales procesos si no se inserta en una teoría general de redes. Éste es especialmente el caso en unos momentos en los que la interdependencia de individuos está adquiriendo, al amparo de las nuevas tecnologías, mayor relevancia empírica.

  6. A Game Theoretic Framework for Power Control in Wireless Sensor Networks (POSTPRINT)

    Science.gov (United States)

    2010-02-01

    K. Basu, “ARC: An Integrated Admission and Rate Control Framework for CDMA Data Net- works Based on Non-Cooperative Games,” Proc. Ninth Ann. Int’l...Economic Framework for Dynamic Spectrum Access and Service Pricing,” IEEE/ACM Trans. Networking, vol. 17, no. 4, pp. 1200-1213, Aug. 2009. [12] M. Kubisch ...D. Pados, M. Chatterjee, and S. Philip, “An Integrated Cross-Layer Study of Wireless CDMA Sensor Net- works,” IEEE J. Selected Areas in Comm. (JSAC

  7. A Game-Theoretic Approach for Opportunistic Spectrum Sharing in Cognitive Radio Networks with Incomplete Information

    Science.gov (United States)

    Tan, Xuesong Jonathan; Li, Liang; Guo, Wei

    One important issue in cognitive transmission is for multiple secondary users to dynamically acquire spare spectrum from the single primary user. The existing spectrum sharing scheme adopts a deterministic Cournot game to formulate this problem, of which the solution is the Nash equilibrium. This formulation is based on two implicit assumptions. First, each secondary user is willing to fully exchange transmission parameters with all others and hence knows their complete information. Second, the unused spectrum of the primary user for spectrum sharing is always larger than the total frequency demand of all secondary users at the Nash equilibrium. However, both assumptions may not be true in general. To remedy this, the present paper considers a more realistic assumption of incomplete information, i.e., each secondary user may choose to conceal their private information for achieving higher transmission benefit. Following this assumption and given that the unused bandwidth of the primary user is large enough, we adopt a probabilistic Cournot game to formulate an opportunistic spectrum sharing scheme for maximizing the total benefit of all secondary users. Bayesian equilibrium is considered as the solution of this game. Moreover, we prove that a secondary user can improve their expected benefit by actively hiding its transmission parameters and increasing their variance. On the other hand, when the unused spectrum of the primary user is smaller than the maximal total frequency demand of all secondary users at the Bayesian equilibrium, we formulate a constrained optimization problem for the primary user to maximize its profit in spectrum sharing and revise the proposed spectrum sharing scheme to solve this problem heuristically. This provides a unified approach to overcome the aforementioned two limitations of the existing spectrum sharing scheme.

  8. Theoretical approaches to holistic biological features: Pattern formation, neural networks and the brain-mind relation.

    Science.gov (United States)

    Gierer, Alfred

    2002-06-01

    The topic of this article is the relation between bottom-up and top-down, reductionist and holistic approaches to the solution of basic biological problems. While there is no doubt that the laws of physics apply to all events in space and time, including the domains of life, understanding biology depends not only on elucidating the role of the molecules involved, but, to an increasing extent, on systems theoretical approaches in diverse fields of the life sciences. Examples discussed in this article are the generation of spatial patterns in development by the interplay of autocatalysis and lateral inhibition; the evolution of integrating capabilities of the human brain, such as cognition-based empathy; and both neurobiological and epistemological aspects of scientific theories of consciousness and the mind.

  9. Information processing in network architecture of genome controlled signal transduction circuit. A proposed theoretical explanation.

    Science.gov (United States)

    Chakraborty, Chiranjib; Sarkar, Bimal Kumar; Patel, Pratiksha; Agoramoorthy, Govindasamy

    2012-01-01

    In this paper, Shannon information theory has been applied to elaborate cell signaling. It is proposed that in the cellular network architecture, four components viz. source (DNA), transmitter (mRNA), receiver (protein) and destination (another protein) are involved. The message transmits from source (DNA) to transmitter (mRNA) and then passes through a noisy channel reaching finally the receiver (protein). The protein synthesis process is here considered as the noisy channel. Ultimately, signal is transmitted from receiver to destination (another protein). The genome network architecture elements were compared with genetic alphabet L = {A, C, G, T} with a biophysical model based on the popular Shannon information theory. This study found the channel capacity as maximum for zero error (sigma = 0) and at this condition, transition matrix becomes a unit matrix with rank 4. The transition matrix will be erroneous and finally at sigma = 1 channel capacity will be localized maxima with a value of 0.415 due to the increased value at sigma. On the other hand, minima exists at sigma = 0.75, where all transition probabilities become 0.25 and uncertainty will be maximum resulting in channel capacity with the minima value of zero.

  10. A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptors

    Energy Technology Data Exchange (ETDEWEB)

    Carriger, John F. [U.S. Environmental Protection Agency, Office of Research and Development, Gulf Ecology Division, Gulf Breeze, FL, 32561 (United States); Martin, Todd M. [U.S. Environmental Protection Agency, Office of Research and Development, Sustainable Technology Division, Cincinnati, OH, 45220 (United States); Barron, Mace G., E-mail: barron.mace@epa.gov [U.S. Environmental Protection Agency, Office of Research and Development, Gulf Ecology Division, Gulf Breeze, FL, 32561 (United States)

    2016-11-15

    Highlights: • A Bayesian network was developed to classify chemical mode of action (MoA). • The network was based on the aquatic toxicity MoA for over 1000 chemicals. • A Markov blanket algorithm selected a subset of theoretical molecular descriptors. • Sensitivity analyses found influential descriptors for classifying the MoAs. • Overall precision of the Bayesian MoA classification model was 80%. - Abstract: The mode of toxic action (MoA) has been recognized as a key determinant of chemical toxicity, but development of predictive MoA classification models in aquatic toxicology has been limited. We developed a Bayesian network model to classify aquatic toxicity MoA using a recently published dataset containing over one thousand chemicals with MoA assignments for aquatic animal toxicity. Two dimensional theoretical chemical descriptors were generated for each chemical using the Toxicity Estimation Software Tool. The model was developed through augmented Markov blanket discovery from the dataset of 1098 chemicals with the MoA broad classifications as a target node. From cross validation, the overall precision for the model was 80.2%. The best precision was for the AChEI MoA (93.5%) where 257 chemicals out of 275 were correctly classified. Model precision was poorest for the reactivity MoA (48.5%) where 48 out of 99 reactive chemicals were correctly classified. Narcosis represented the largest class within the MoA dataset and had a precision and reliability of 80.0%, reflecting the global precision across all of the MoAs. False negatives for narcosis most often fell into electron transport inhibition, neurotoxicity or reactivity MoAs. False negatives for all other MoAs were most often narcosis. A probabilistic sensitivity analysis was undertaken for each MoA to examine the sensitivity to individual and multiple descriptor findings. The results show that the Markov blanket of a structurally complex dataset can simplify analysis and interpretation by

  11. Overcoming breastfeeding problems

    Science.gov (United States)

    ... milk ducts; Nipple soreness when breastfeeding; Breastfeeding - overcoming problems; Let-down reflex ... few minutes before breastfeeding can help avoid this problem. A clean, wet washcloth from the refrigerator works ...

  12. Overcoming Breastfeeding Challenges

    Medline Plus

    Full Text Available ... Overcoming breastfeeding challenges Dealing with lack of family support Is my baby getting enough milk? Breastfeeding in ... get a good latch Addressing breastfeeding myths Finding support Fitting it into your life My breastfeeding story ...

  13. Overcoming job stress

    Science.gov (United States)

    ... medlineplus.gov/ency/patientinstructions/000884.htm Overcoming job stress To use the sharing features on this page, ... stay healthy and feel better. Causes of Job Stress Although the cause of job stress is different ...

  14. Extracting gene networks for low-dose radiation using graph theoretical algorithms.

    Directory of Open Access Journals (Sweden)

    Brynn H Voy

    2006-07-01

    Full Text Available Genes with common functions often exhibit correlated expression levels, which can be used to identify sets of interacting genes from microarray data. Microarrays typically measure expression across genomic space, creating a massive matrix of co-expression that must be mined to extract only the most relevant gene interactions. We describe a graph theoretical approach to extracting co-expressed sets of genes, based on the computation of cliques. Unlike the results of traditional clustering algorithms, cliques are not disjoint and allow genes to be assigned to multiple sets of interacting partners, consistent with biological reality. A graph is created by thresholding the correlation matrix to include only the correlations most likely to signify functional relationships. Cliques computed from the graph correspond to sets of genes for which significant edges are present between all members of the set, representing potential members of common or interacting pathways. Clique membership can be used to infer function about poorly annotated genes, based on the known functions of better-annotated genes with which they share clique membership (i.e., "guilt-by-association". We illustrate our method by applying it to microarray data collected from the spleens of mice exposed to low-dose ionizing radiation. Differential analysis is used to identify sets of genes whose interactions are impacted by radiation exposure. The correlation graph is also queried independently of clique to extract edges that are impacted by radiation. We present several examples of multiple gene interactions that are altered by radiation exposure and thus represent potential molecular pathways that mediate the radiation response.

  15. Large-Scale Network Organisation in the Avian Forebrain: A Connectivity Matrix and Theoretical Analysis

    Directory of Open Access Journals (Sweden)

    Murray eShanahan

    2013-07-01

    Full Text Available Many species of birds, including pigeons, possess demonstrable cognitive capacities, and some are capable of cognitive feats matching those of apes. Since mammalian cortex is laminar while the avian telencephalon is nucleated, it is natural to ask whether the brains of these two cognitively capable taxa, despite their apparent anatomical dissimilarities, might exhibit common principles of organisation on some level. Complementing recent investigations of macro-scale brain connectivity in mammals, including humans and macaques, we here present the first large-scale wiring diagram for the forebrain of a bird. Using graph theory, we show that the pigeon telencephalon is organised along similar lines to that of a mammal. Both are modular, small-world networks with a connective core of hub nodes that includes prefrontal-like and hippocampal structures. These hub nodes are, topologically speaking, the most central regions of the pigeon's brain, as well as being the most richly connected, implying a crucial role in information flow. Overall, our analysis suggests that indeed, despite the absence of cortical layers and close to 300 million years of separate evolution, the connectivity of the avian brain conforms to the same organisational principles as the mammalian brain.

  16. Differences between Mice and Humans in Regulation and the Molecular Network of Collagen, Type III, Alpha-1 at the Gene Expression Level: Obstacles that Translational Research Must Overcome

    Directory of Open Access Journals (Sweden)

    Lishi Wang

    2015-07-01

    Full Text Available Collagen, type III, alpha-1 (COL3A1 is essential for normal collagen I fibrillogenesis in many organs. There are differences in phenotypes of mutations in the COL3A1 gene in humans and mutations in mice. In order to investigate whether the regulation and gene network of COL3A1 is the same in healthy populations of mice and humans, we compared the quantitative trait loci (QTL that regulate the expression level of COL3A1 and the gene network of COL3A1 pathways between humans and mice using whole genome expression profiles. Our results showed that, for the regulation of expression of Col3a1 in mice, an eQTL on chromosome (Chr 12 regulates the expression of Col3a1. However, expression of genes in the syntenic region on human Chr 7 has no association with the expression level of COL3A1. For the gene network comparison, we identified 44 top genes whose expression levels are strongly associated with that of Col3a1 in mice. We next identified 41 genes strongly associated with the expression level of COL3A1 in humans. There are a few but significant differences in the COL3A1 gene network between humans and mice. Several genes showed opposite association with expression of COL3A1. These genes are known to play important roles in development and function of the extracellular matrix of the lung. Difference in the molecular pathway of key genes in the COL3A1 gene network in humans and mice suggest caution should be used in extrapolating results from models of human lung diseases in mice to clinical lung diseases in humans. These differences may influence the efficacy of drugs in humans whose development employed mouse models.

  17. Overcoming Faculty Resistance.

    Science.gov (United States)

    Gaff, Jerry G.

    1978-01-01

    Teaching improvement and institutional renewal efforts often face pessimism about change, if not suspicion and resistance, but faculty teams can overcome these problems through an action-oriented but low-profile "organic" approach. The need for personal invitations by colleagues is shown. (Author/LBH)

  18. The role of nonlinearity in computing graph-theoretical properties of resting-state functional magnetic resonance imaging brain networks

    Science.gov (United States)

    Hartman, D.; Hlinka, J.; Paluš, M.; Mantini, D.; Corbetta, M.

    2011-03-01

    In recent years, there has been an increasing interest in the study of large-scale brain activity interaction structure from the perspective of complex networks, based on functional magnetic resonance imaging (fMRI) measurements. To assess the strength of interaction (functional connectivity, FC) between two brain regions, the linear (Pearson) correlation coefficient of the respective time series is most commonly used. Since a potential use of nonlinear FC measures has recently been discussed in this and other fields, the question arises whether particular nonlinear FC measures would be more informative for the graph analysis than linear ones. We present a comparison of network analysis results obtained from the brain connectivity graphs capturing either full (both linear and nonlinear) or only linear connectivity using 24 sessions of human resting-state fMRI. For each session, a matrix of full connectivity between 90 anatomical parcel time series is computed using mutual information. For comparison, connectivity matrices obtained for multivariate linear Gaussian surrogate data that preserve the correlations, but remove any nonlinearity are generated. Binarizing these matrices using multiple thresholds, we generate graphs corresponding to linear and full nonlinear interaction structures. The effect of neglecting nonlinearity is then assessed by comparing the values of a range of graph-theoretical measures evaluated for both types of graphs. Statistical comparisons suggest a potential effect of nonlinearity on the local measures—clustering coefficient and betweenness centrality. Nevertheless, subsequent quantitative comparison shows that the nonlinearity effect is practically negligible when compared to the intersubject variability of the graph measures. Further, on the group-average graph level, the nonlinearity effect is unnoticeable.

  19. Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI

    Directory of Open Access Journals (Sweden)

    Seung-Goo eKim

    2013-07-01

    Full Text Available As one of the most widely accepted neuroanatomical models on OCD, it has been hypothesized that imbalance between an excitatory direct (ventral pathway and an inhibitory indirect (dorsal pathway in cortico-striato-thalamic circuit underlies the emergence of OCD. Here we examine the structural network in drug-free patients with OCD in terms of graph theoretical measures for the first time. We used a measure called efficiency which quantifies how a node transfers information efficiently. To construct brain networks, cortical thickness was automatically estimated using T1-weighted magnetic resonance imaging. We found that the network of the OCD patients was as efficient as that of healthy controls so that the both networks were in the small-world regime. More importantly, however, disparity between the dorsal and the ventral networks in the OCD patients was found, suggesting a positive evidence to the imbalance theory on the underlying pathophysiology of OCD.

  20. Destabilization of Bcr-Abl/Jak2 Network by a Jak2/Abl Kinase Inhibitor ON044580 Overcomes Drug Resistance in Blast Crisis Chronic Myelogenous Leukemia (CML).

    Science.gov (United States)

    Samanta, Ajoy K; Chakraborty, Sandip N; Wang, Yan; Schlette, Ellen; Reddy, E Premkumar; Arlinghaus, Ralph B

    2010-04-01

    Bcr-Abl is the predominant therapeutic target in chronic myeloid leukemia (CML), and tyrosine kinase inhibitors (TKIs) that inhibit Bcr-Abl have been successful in treating CML. With progression of CML disease especially in blast crisis stage, cells from CML patients become resistant to imatinib mesylate (IM) and other TKIs, resulting in relapse. Because Bcr-Abl is known to drive multiple signaling pathways, the study of the regulation of stability of Bcr-Abl in IM-resistant CML cells is a critical issue as a possible therapeutic strategy. Here, we report that a new dual-kinase chemical inhibitor, ON044580, induced apoptosis of Bcr-Abl+ IM-sensitive, IM-resistant cells, including the gatekeeper Bcr-Abl mutant, T315I, and also cells from blast crisis patients. In addition, IM-resistant K562-R cells, cells from blast crisis CML patients, and all IM-resistant cell lines tested had reduced ability to form colonies in soft agar in the presence of 0.5 µM ON044580. In in vitro kinase assays, ON044580 inhibited the recombinant Jak2 and Abl kinase activities when the respective Jak2 and Abl peptides were used as substrates. Incubation of the Bcr-Abl+ cells with ON044580 rapidly reduced the levels of the Bcr-Abl protein and also reduced the expression of HSP90 and its client protein levels. Lysates of Bcr-Abl+ cell lines were found to contain a large signaling network complex composed of Bcr-Abl, Jak2, HSP90, and its client proteins as detected by a gel filtration column chromatography, which was rapidly disrupted by ON044580. Therefore, targeting Jak2 and Bcr-Abl kinases is an effective way to destabilize Bcr-Abl and its network complex, which leads to the onset of apoptosis in IM-sensitive and IM-resistant Bcr-Abl+ cells. This inhibitory strategy has potential to manage all types of drug-resistant CML cells, especially at the terminal blast crisis stage of CML, where TKIs are not clinically useful.

  1. State dependent properties of epileptic brain networks: comparative graph-theoretical analyses of simultaneously recorded EEG and MEG.

    Science.gov (United States)

    Horstmann, Marie-Therese; Bialonski, Stephan; Noennig, Nina; Mai, Heinke; Prusseit, Jens; Wellmer, Jörg; Hinrichs, Hermann; Lehnertz, Klaus

    2010-02-01

    To investigate whether functional brain networks of epilepsy patients treated with antiepileptic medication differ from networks of healthy controls even during the seizure-free interval. We applied different rules to construct binary and weighted networks from EEG and MEG data recorded under a resting-state eyes-open and eyes-closed condition from 21 epilepsy patients and 23 healthy controls. The average shortest path length and the clustering coefficient served as global statistical network characteristics. Independent on the behavioral condition, epileptic brains exhibited a more regular functional network structure. Similarly, the eyes-closed condition was characterized by a more regular functional network structure in both groups. The amount of network reorganization due to behavioral state changes was similar in both groups. Consistent findings could be achieved for networks derived from EEG but hardly from MEG recordings, and network construction rules had a rather strong impact on our findings. Despite the locality of the investigated processes epileptic brain networks differ in their global characteristics from non-epileptic brain networks. Further methodological developments are necessary to improve the characterization of disturbed and normal functional networks. An increased regularity and a diminished modulation capability appear characteristic of epileptic brain networks. Copyright (c) 2009 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

  2. Handbook on theoretical and algorithmic aspects of sensor, ad hoc wireless, and peer-to-peer networks

    CERN Document Server

    Wu, Jie

    2005-01-01

    PrefaceAD HOC WIRELESS NETWORKSA Modular Cross Layer Architecture for Ad Hoc Networks, M. Conti, J. Crowcroft, G. Maselli, and G. TuriRouting Scalability in MANETs, J. Eriksson, S. Krishnamurthy and M. FaloutsosUniformly Distributed Algorithm for Virtual Backbone Routing in Ad Hoc Wireless Networks, D.S. KimMaximum Necessary Hop Count for Packet Routing in MANET, X. Chen and J. ShenEfficient Strategyproof Multicast in Selfish Wireless Networks, X.-Yang LiGeocasting in Ad Hoc and Sensor Networks, I. StojmenovicTopology Control for Ad hoc Networks: Present Solutions and Open Issues, C.-C. Shen a

  3. Overcoming Incommensurability Through Intercultural Dialogue

    Directory of Open Access Journals (Sweden)

    Paul Healy

    2013-07-01

    Full Text Available Is universalism necessarily ethnocentric? Are there inevitably incommensurable differences between diverse cultures and traditions? While these questions may appear highly theoretical at first sight, they inevitably have significant practical consequences as witnessed by the prominent contemporary discourse about a “clash of civilizations”, on the one hand, and by the challenges confronting multiculturalism, on the other. As these debates attest, the foregoing questions are truly significant because, if there is no genuine possibility of overcoming incommensurability by finding and building on common ground, the future looks bleak for intercultural relations, both internally and externally. In revisiting pivotal issues at the heart of the Winchean rationality debates, and in drawing some selective comparisons with the Kuhnian incommensurability debates which came to the fore at a similar time, this paper draws on core hermeneutic insights to vindicate the tenability of a dialogical approach to the problem of intercultural communication and understanding. This approach, it is contended, can give difference its due to the extent of stimulating a genuine and productive process of intercultural learning, in a manner that truly navigates between the Scylla of an ethnocentric universalism and the Charybdis of a self-sealing relativism, and thereby not only averts a destructive cultural stand-off or clash, but facilitates the emergence of a well-grounded “fusion of horizons”.

  4. NETWORK COOPERATION OF EDUCATIONAL ORGANIZATIONS FOR BUILDING A CULTURE OF HEALTHY AND SAFE LIFESTYLE: THEORETICAL-METHODOLOGICAL ASPECT OF VOCATIONAL STAFF TRAINING

    Directory of Open Access Journals (Sweden)

    Tatyana N. Levan

    2015-01-01

    Full Text Available The aim of the study is to consider network cooperation as a resource of the renewal and innovative development of education.Methods. Systemization of existing practices of network partnership in the sphere of education for decision of pupils’ health protection problems; monitoring of health and physical readiness of the trainees of general educational establishments; modelling of network interaction.Results and scientific novelty. It is shown that network cooperation in the field of building a culture of healthy and safe lifestyle of pupils has a considerable potential. If educational organizations are closed to cooperation, isolated on the infrastructure in their district, city, region, the task of building a healthy lifestyle of pupils can not be solved. In general, teaching staff is unprepared for this activity and require additional preparation, methodological and methodical information materials on its realisation. The author theoretically proves and describes substantive provisions of network interaction of the educational establishments with social partners aimed at pupils’ health culture formation, which is presented as one of socialisation directions, i.e. realisation of social function of education – especially organized educational activity that is directed on development of pupils’ social competence. Thus, the model of network cooperation of educational organizations for building a culture of healthy and safe lifestyle (as one of the areas of socialization of pupils is presented in the presented study. It is considered as a theoretical and methodological basis for the development of process of establishing partnerships of educational organizations not only with other organizations of the education system (basic, professional and additional, but also with organizations of health care, physical culture and sport, culture and recreation, and other social spheres.Practical significance. Results of research will help the

  5. TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach

    Directory of Open Access Journals (Sweden)

    Morganella Sandro

    2010-03-01

    Full Text Available Abstract Background One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using microarray technology, it is possible to extract measurements of thousands of genes into a single analysis step having a picture of the cell gene expression. Several methods have been developed to infer gene networks from steady-state data, much less literature is produced about time-course data, so the development of algorithms to infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. Results In this paper we show how the ARACNE (Algorithm for the Reconstruction of Accurate Cellular Networks algorithm can be used for gene regulatory network inference in the case of time-course expression profiles. The resulting method is called TimeDelay-ARACNE. It just tries to extract dependencies between two genes at different time delays, providing a measure of these dependencies in terms of mutual information. The basic idea of the proposed algorithm is to detect time-delayed dependencies between the expression profiles by assuming as underlying probabilistic model a stationary Markov Random Field. Less informative dependencies are filtered out using an auto calculated threshold, retaining most reliable connections. TimeDelay-ARACNE can infer small local networks of time regulated gene-gene interactions detecting their versus and also discovering cyclic interactions also when only a medium-small number of measurements are available. We test the algorithm both on synthetic networks and on microarray expression profiles. Microarray measurements concern S. cerevisiae cell cycle, E. coli SOS pathways and a

  6. TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach.

    Science.gov (United States)

    Zoppoli, Pietro; Morganella, Sandro; Ceccarelli, Michele

    2010-03-25

    One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using microarray technology, it is possible to extract measurements of thousands of genes into a single analysis step having a picture of the cell gene expression. Several methods have been developed to infer gene networks from steady-state data, much less literature is produced about time-course data, so the development of algorithms to infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. In this paper we show how the ARACNE (Algorithm for the Reconstruction of Accurate Cellular Networks) algorithm can be used for gene regulatory network inference in the case of time-course expression profiles. The resulting method is called TimeDelay-ARACNE. It just tries to extract dependencies between two genes at different time delays, providing a measure of these dependencies in terms of mutual information. The basic idea of the proposed algorithm is to detect time-delayed dependencies between the expression profiles by assuming as underlying probabilistic model a stationary Markov Random Field. Less informative dependencies are filtered out using an auto calculated threshold, retaining most reliable connections. TimeDelay-ARACNE can infer small local networks of time regulated gene-gene interactions detecting their versus and also discovering cyclic interactions also when only a medium-small number of measurements are available. We test the algorithm both on synthetic networks and on microarray expression profiles. Microarray measurements concern S. cerevisiae cell cycle, E. coli SOS pathways and a recently developed network for in vivo

  7. Worlds Apart: A Social Theoretical Exploration of Local Networks, Natural Actors, and Practitioners of Rural Development in Southern Honduras

    Directory of Open Access Journals (Sweden)

    Brian J. Gareau

    2012-07-01

    Full Text Available This paper explores the importance of incorporating the socioecological realities of alternative networks into analyses of rural development. Cultural theory is examined, which provides a base upon which rural development can identify difference in worldviews based on difference in sociological conditions and environmental phenomena. Actor-oriented theory problematizes the ideal types of cultural theory, providing a means of give-and-take between actors’ worldviews of different networks. Actor-network theory breaks down the nature-culture dichotomy of actor-oriented theory, so that nature becomes as ‘active’ an actor as people and community. Actor-network theory brings nature and society together, perceiving the two as mutually inclusive and constitutive. Coupled with recognition of power associated with political economic/ecological forces, actor-network theory can encourage us to see the frequency of tropical storms in Honduras as being among the powerful actors that have played a significant, consistent role in shaping the mode of ordering of impoverished Honduran peoples. This paper concludes by exploring how alternative, agroecological networks established in a protected area in southern Honduras with ‘strong’ natural actors can be re-ordered by incorporating autonomy and resiliency into the network.

  8. A Multi-User Game-Theoretical Multipath Routing Protocol to Send Video-Warning Messages over Mobile Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    Ahmad Mohamad Mezher

    2015-04-01

    Full Text Available The prevention of accidents is one of the most important goals of ad hoc networks in smart cities. When an accident happens, dynamic sensors (e.g., citizens with smart phones or tablets, smart vehicles and buses, etc. could shoot a video clip of the accident and send it through the ad hoc network. With a video message, the level of seriousness of the accident could be much better evaluated by the authorities (e.g., health care units, police and ambulance drivers rather than with just a simple text message. Besides, other citizens would be rapidly aware of the incident. In this way, smart dynamic sensors could participate in reporting a situation in the city using the ad hoc network so it would be possible to have a quick reaction warning citizens and emergency units. The deployment of an efficient routing protocol to manage video-warning messages in mobile Ad hoc Networks (MANETs has important benefits by allowing a fast warning of the incident, which potentially can save lives. To contribute with this goal, we propose a multipath routing protocol to provide video-warning messages in MANETs using a novel game-theoretical approach. As a base for our work, we start from our previous work, where a 2-players game-theoretical routing protocol was proposed to provide video-streaming services over MANETs. In this article, we further generalize the analysis made for a general number of N players in the MANET. Simulations have been carried out to show the benefits of our proposal, taking into account the mobility of the nodes and the presence of interfering traffic. Finally, we also have tested our approach in a vehicular ad hoc network as an incipient start point to develop a novel proposal specifically designed for VANETs.

  9. A Multi-User Game-Theoretical Multipath Routing Protocol to Send Video-Warning Messages over Mobile Ad Hoc Networks

    Science.gov (United States)

    Mezher, Ahmad Mohamad; Igartua, Mónica Aguilar; de la Cruz Llopis, Luis J.; Segarra, Esteve Pallarès; Tripp-Barba, Carolina; Urquiza-Aguiar, Luis; Forné, Jordi; Gargallo, Emilio Sanvicente

    2015-01-01

    The prevention of accidents is one of the most important goals of ad hoc networks in smart cities. When an accident happens, dynamic sensors (e.g., citizens with smart phones or tablets, smart vehicles and buses, etc.) could shoot a video clip of the accident and send it through the ad hoc network. With a video message, the level of seriousness of the accident could be much better evaluated by the authorities (e.g., health care units, police and ambulance drivers) rather than with just a simple text message. Besides, other citizens would be rapidly aware of the incident. In this way, smart dynamic sensors could participate in reporting a situation in the city using the ad hoc network so it would be possible to have a quick reaction warning citizens and emergency units. The deployment of an efficient routing protocol to manage video-warning messages in mobile Ad hoc Networks (MANETs) has important benefits by allowing a fast warning of the incident, which potentially can save lives. To contribute with this goal, we propose a multipath routing protocol to provide video-warning messages in MANETs using a novel game-theoretical approach. As a base for our work, we start from our previous work, where a 2-players game-theoretical routing protocol was proposed to provide video-streaming services over MANETs. In this article, we further generalize the analysis made for a general number of N players in the MANET. Simulations have been carried out to show the benefits of our proposal, taking into account the mobility of the nodes and the presence of interfering traffic.Finally, we also have tested our approach in a vehicular ad hoc network as an incipient start point to develop a novel proposal specifically designed for VANETs. PMID:25897496

  10. Theoretical Computer Science

    DEFF Research Database (Denmark)

    2002-01-01

    The proceedings contains 8 papers from the Conference on Theoretical Computer Science. Topics discussed include: query by committee, linear separation and random walks; hardness results for neural network approximation problems; a geometric approach to leveraging weak learners; mind change...

  11. Detailed theoretical investigation and comparison of the cascadability of conventional and gain-clamped SOA gates in multi wavelength optical networks

    DEFF Research Database (Denmark)

    Wolfson, David

    1999-01-01

    A detailed theoretical investigation of the cascadability of GC-SOAs and SOAs in WDM networks is presented. The analysis shows that the cascadability of SOAs is limited by degradation of both extinction ratio and ASE accumulation, whereas the cascadability for GC-SOAs mainly is limited...... by an accumulation af ASE. This result is superior cascadability of GC-SOAs at a channel bit rate of 2,5 Gbit/s in systems with up to at least 16 channels even when compared to short cavity SOA gates....

  12. Overcoming ammonium toxicity.

    Science.gov (United States)

    Bittsánszky, András; Pilinszky, Katalin; Gyulai, Gábor; Komives, Tamas

    2015-02-01

    Ammonia (ammonium ion under physiological conditions) is one of the key nitrogen sources in cellular amino acid biosynthesis. It is continuously produced in living organisms by a number of biochemical processes, but its accumulation in cells leads to tissue damage. Current knowledge suggests that a few enzymes and transporters are responsible for maintaining the delicate balance of ammonium fluxes in plant tissues. In this study we analyze the data in the scientific literature and the publicly available information on the dozens of biochemical reactions in which endogenous ammonium is produced or consumed, the enzymes that catalyze them, and the enzyme and transporter mutants listed in plant metabolic and genetic databases (Plant Metabolic Network, TAIR, and Genevestigator). Our compiled data show a surprisingly high number of little-studied reactions that might influence cellular ammonium concentrations. The role of ammonium in apoptosis, its relation to oxidative stress, and alterations in ammonium metabolism induced by environmental stress need to be explored in order to develop methods to manage ammonium toxicity. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  13. MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach

    Directory of Open Access Journals (Sweden)

    Yasser Abduallah

    2017-01-01

    Full Text Available Gene regulation is a series of processes that control gene expression and its extent. The connections among genes and their regulatory molecules, usually transcription factors, and a descriptive model of such connections are known as gene regulatory networks (GRNs. Elucidating GRNs is crucial to understand the inner workings of the cell and the complexity of gene interactions. To date, numerous algorithms have been developed to infer gene regulatory networks. However, as the number of identified genes increases and the complexity of their interactions is uncovered, networks and their regulatory mechanisms become cumbersome to test. Furthermore, prodding through experimental results requires an enormous amount of computation, resulting in slow data processing. Therefore, new approaches are needed to expeditiously analyze copious amounts of experimental data resulting from cellular GRNs. To meet this need, cloud computing is promising as reported in the literature. Here, we propose new MapReduce algorithms for inferring gene regulatory networks on a Hadoop cluster in a cloud environment. These algorithms employ an information-theoretic approach to infer GRNs using time-series microarray data. Experimental results show that our MapReduce program is much faster than an existing tool while achieving slightly better prediction accuracy than the existing tool.

  14. MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach.

    Science.gov (United States)

    Abduallah, Yasser; Turki, Turki; Byron, Kevin; Du, Zongxuan; Cervantes-Cervantes, Miguel; Wang, Jason T L

    2017-01-01

    Gene regulation is a series of processes that control gene expression and its extent. The connections among genes and their regulatory molecules, usually transcription factors, and a descriptive model of such connections are known as gene regulatory networks (GRNs). Elucidating GRNs is crucial to understand the inner workings of the cell and the complexity of gene interactions. To date, numerous algorithms have been developed to infer gene regulatory networks. However, as the number of identified genes increases and the complexity of their interactions is uncovered, networks and their regulatory mechanisms become cumbersome to test. Furthermore, prodding through experimental results requires an enormous amount of computation, resulting in slow data processing. Therefore, new approaches are needed to expeditiously analyze copious amounts of experimental data resulting from cellular GRNs. To meet this need, cloud computing is promising as reported in the literature. Here, we propose new MapReduce algorithms for inferring gene regulatory networks on a Hadoop cluster in a cloud environment. These algorithms employ an information-theoretic approach to infer GRNs using time-series microarray data. Experimental results show that our MapReduce program is much faster than an existing tool while achieving slightly better prediction accuracy than the existing tool.

  15. Becoming Who We Are: A Theoretical Explanation of Gendered Social Structures and Social Networks that Shape Adolescent Interpersonal Aggression

    Science.gov (United States)

    Smith, Paige Hall; White, Jacquelyn W.; Moracco, Kathryn E.

    2009-01-01

    A conceptualization of gendered interpersonal aggression that is grounded in the social ecological framework is presented to explicate factors in adolescents' gendered environments that give rise to aggression and victimization. The focus is on gendered social structures and social networks. Our framework for prevention suggests that violence…

  16. Graph-Theoretic Properties of Networks Based on Word Association Norms: Implications for Models of Lexical Semantic Memory

    Science.gov (United States)

    Gruenenfelder, Thomas M.; Recchia, Gabriel; Rubin, Tim; Jones, Michael N.

    2016-01-01

    We compared the ability of three different contextual models of lexical semantic memory (BEAGLE, Latent Semantic Analysis, and the Topic model) and of a simple associative model (POC) to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network…

  17. A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptors

    Science.gov (United States)

    The mode of toxic action (MoA) has been recognized as a key determinant of chemical toxicity, but development of predictive MoA classification models in aquatic toxicology has been limited. We developed a Bayesian network model to classify aquatic toxicity MoA using a recently pu...

  18. A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptors-abstract

    Science.gov (United States)

    The mode of toxic action (MoA) has been recognized as a key determinant of chemical toxicity but MoA classification in aquatic toxicology has been limited. We developed a Bayesian network model to classify aquatic toxicity mode of action using a recently published dataset contain...

  19. Overcoming drug resistance through in silico prediction.

    Science.gov (United States)

    Carbonell, Pablo; Trosset, Jean-Yves

    2014-03-01

    Prediction tools are commonly used in pre-clinical research to assist target selection, to optimize drug potency or to predict the pharmacological profile of drug candidates. In silico prediction and overcoming drug resistance is a new opportunity that creates a high interest in pharmaceutical research. This review presents two main in silico strategies to meet this challenge: a structure-based approach to study the influence of mutations on the drug-target interaction and a system-biology approach to identify resistance pathways for a given drug. In silico screening of synergies between therapeutic and resistant pathways through biological network analysis is an example of technique to escape drug resistance. Structure-based drug design and in silico system biology are complementary approaches to reach few objectives at once: increase efficiency, reduce toxicity and overcoming drug resistance.

  20. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness.

    Science.gov (United States)

    Balatsoukas, Panos; Kennedy, Catriona M; Buchan, Iain; Powell, John; Ainsworth, John

    2015-06-11

    networking within health promotion interventions. Most of the trials investigated the value of a "social networking condition" in general and did not identify specific features that might play a role in effectiveness. Issues about the usability and level of uptake of interventions were more common among pilot studies, while observational studies showed positive evidence about the role of social support. A total of 20 papers showed the use of theory in the design of interventions, but authors evaluated effectiveness in only 10 papers. More research is needed in this area to understand the actual effect of social network technologies on health promotion. More RCTs of greater length need to be conducted taking into account contextual factors such as patient characteristics and types of a social network technology. Also, more evidence is needed regarding the actual usability of online social networking and how different interface design elements may help or hinder behavior change and engagement. Moreover, it is crucial to investigate further the effect of theory on the effectiveness of this type of technology for health promotion. Research is needed linking theoretical grounding with observation and analysis of health promotion in online networks.

  1. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness

    Science.gov (United States)

    Kennedy, Catriona M; Buchan, Iain; Powell, John; Ainsworth, John

    2015-01-01

    the effectiveness of online social networking within health promotion interventions. Most of the trials investigated the value of a “social networking condition” in general and did not identify specific features that might play a role in effectiveness. Issues about the usability and level of uptake of interventions were more common among pilot studies, while observational studies showed positive evidence about the role of social support. A total of 20 papers showed the use of theory in the design of interventions, but authors evaluated effectiveness in only 10 papers. Conclusions More research is needed in this area to understand the actual effect of social network technologies on health promotion. More RCTs of greater length need to be conducted taking into account contextual factors such as patient characteristics and types of a social network technology. Also, more evidence is needed regarding the actual usability of online social networking and how different interface design elements may help or hinder behavior change and engagement. Moreover, it is crucial to investigate further the effect of theory on the effectiveness of this type of technology for health promotion. Research is needed linking theoretical grounding with observation and analysis of health promotion in online networks. PMID:26068087

  2. Brain network properties in depressed patients receiving seizure therapy: A graph theoretical analysis of peri-treatment resting EEG.

    Science.gov (United States)

    Deng, Zhi-De; McClinctock, Shawn M; Lisanby, Sarah H

    2015-08-01

    Electroconvulsive therapy (ECT), the most efficacious antidepressant therapy for treatment-resistant depression, has been reported to alter functional brain network architecture by down-regulating connectivity in frontotemporal circuitry. Magnetic seizure therapy (MST), which induces therapeutic seizures with high dose repetitive transcranial magnetic stimulation, has been introduced to improve the seizure therapy risk/benefit ratio. Unfortunately, there is limited understanding of seizure therapy's underlying mechanisms of action. In this study, we apply graph theory-based connectivity analysis to peri-treatment, resting-state, topographical electroencephalography (EEG) in patients with depression receiving seizure therapy. Functional connectivity was assessed using the de-biased weighted phase lag index, a measure of EEG phase synchronization. Brain network structure was quantified using graph theory metrics, including betweenness centrality, clustering coefficient, network density, and characteristic path length. We found a significant reduction in the phase synchronization and aberration of the small-world architecture in the beta frequency band, which could be related to acute clinical and cognitive effects of seizure therapy.

  3. Decreased functional connectivity in schizophrenia: The relationship between social functioning, social cognition and graph theoretical network measures.

    Science.gov (United States)

    Erdeniz, Burak; Serin, Emin; İbadi, Yelda; Taş, Cumhur

    2017-12-30

    Schizophrenia is a complex disorder in which abnormalities in brain connectivity and social functioning play a central role. The aim of this study is to explore small-world network properties, and understand their relationship with social functioning and social cognition in the context of schizophrenia, by testing functional connectivity differences in network properties and its relation to clinical behavioral measures. Resting-state fMRI time series data were acquired from 23 patients diagnosed with schizophrenia and 23 healthy volunteers. The results revealed that patients with schizophrenia show significantly decreased connectivity between a range of brain regions, particularly involving connections among the right orbitofrontal cortex, bilateral putamen and left amygdala. Furthermore, topological properties of functional brain networks in patients with schizophrenia were characterized by reduced path length compared to healthy controls; however, no significant difference was found for clustering coefficient, local efficiency or global efficiency. Additionally, we found that nodal efficiency of the amygdala and the putamen were significantly correlated with the independence-performance subscale of social functioning scale (SFC), and Reading the Mind in the Eyes test; however, the correlations do not survive correction for multiple comparison. The current results help to clarify the relationship between social functioning deficits and topological brain measures in schizophrenia. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. Multi-Party Energy Management for Networks of PV-Assisted Charging Stations: A Game Theoretical Approach

    Directory of Open Access Journals (Sweden)

    Nian Liu

    2017-07-01

    Full Text Available Motivated by the development of electric vehicles (EVs, this paper addresses the energy management problem for the PV-assisted charging station (PVCS network. An hour-ahead optimization model for the operation of PVCS is proposed, considering the profit of the PVCS, the local consumption of the photovoltaic (PV energy and the impacts on the grid. Moreover, a two-level feasible charging region (FCR model is built to guarantee the service quality for EVs and learning-based decision-making is designed to assist the optimization of the PVCS in various scenarios. The multi-party energy management problem, including several kinds of energy flows of the PVCS network, is formulated as a non-cooperative game. Then, the strategies of the PVCSs are modeled as the demand response (DR activities to achieve their own optimization goals and a two-level distributed heuristic algorithm is introduced to solve the problem. The simulation results show that the economic profit of the network is increased by 6.34% compared with the common time of use (TOU prices approach. Besides, the percentage of the PV energy in total charging load (PPTCL and load rate are promoted by 28.93% and 0.3125, respectively, which demonstrates the validity and practicability of the proposed method.

  5. Theoretical study of GSK-3α: neural networks QSAR studies for the design of new inhibitors using 2D descriptors.

    Science.gov (United States)

    García, Isela; Fall, Yagamare; García-Mera, Xerardo; Prado-Prado, Francisco

    2011-11-01

    Glycogen synthase kinase-3 (GSK-3) targets encompass proteins implicated in AD and neurological disorders. The functions of GSK-3 and its implication in various human diseases have triggered an active search for potent and selective GSK-3 inhibitors. In this sense, QSAR could play an important role in studying these GSK-3 inhibitors. For this reason, we developed QSAR models for GSK-3α, linear discriminant analysis (LDA), and artificial neural networks (ANNs) from nearly 50,000 cases with more than 700 different GSK-3α inhibitors obtained from ChEMBL database server; in total we used more than 20,000 different molecules to develop the QSAR models. The model correctly classified 237 out of 275 active compounds (86.2%) and 14,870 out of 15,970 non-active compounds (93.2%) in the training series. The overall training performance was 93.0%. Validation of the model was carried out using an external predicting series. In these series, the model classified correctly 458 out of 549 (83.4%) compounds and 29,637 out of 31,927 non-active compounds (83.4%). The overall predictability performance was 92.7%. In this study, we propose three types of non-linear ANN as alternative to already existing models, such as LDA. Linear neural network: LNN: 236:236-1-1:1 which had an overall training performance of 96% proved to be the best model. In addition, we did a study of the different fragments of the molecules of the database to see which fragments had more influence in the activity. This can help design new inhibitors of GSK-3α. This study reports the attempts to calculate, within a unified framework probabilities of GSK-3α inhibitors against different molecules found in the literature.

  6. Closed-loop stimulation of a delayed neural fields model of parkinsonian STN-GPe network: a theoretical and computational study

    Directory of Open Access Journals (Sweden)

    Georgios Is. Detorakis

    2015-07-01

    Full Text Available Several disorders are related to pathological brain oscillations. In the case of Parkinson's disease, sustained low-frequency oscillations (especially in the beta-band, 13-30Hz correlate with motor symptoms. It is still under debate whether these oscillations are the cause of parkinsonian motor symptoms. The development of techniques enabling selectivedisruption of these beta-oscillations could contribute to the understanding of the underlying mechanisms, and could be exploited for treatments. A particularly appealing technique is Deep Brain Stimulation (DBS. With clinicalelectrical DBS, electrical currents are delivered at high frequency to a region made of potentially heterogeneous neurons(the subthalamic nucleus (STN in the case of Parkinson's disease. Even more appealing is DBS with optogenetics, which is until now a preclinical method using both gene transfer and deep brain light delivery and enabling neuromodulation at the scale of one given neural network. In this work, we rely on delayed neural fields models of STN and the external Globus Pallidus (GPe to develop , theoretically validate and test in silico a closed-loop stimulation strategy to disrupt these sustained oscillations with optogenetics. First, we rely on tools from control theory to provide theoretical conditions under which sustained oscillations can be attenuated by a closed-loop stimulation proportional to the measured activityof STN. Second, based on this theoretical framework, we show numerically that the proposed closed-loop stimulation efficiently attenuates sustained oscillations, even in the case when the photosensitization effectively affects only 50$%$ of STN neurons. We also show through simulations that oscillations disruption can be achieved when the same light source is used for the whole STN population. We finally test the robustness of the proposed strategy to possible acquisition and processing delays, as well as parameters uncertainty.

  7. Incorporating existing network information into gene network inference.

    Directory of Open Access Journals (Sweden)

    Scott Christley

    2009-08-01

    Full Text Available One methodology that has met success to infer gene networks from gene expression data is based upon ordinary differential equations (ODE. However new types of data continue to be produced, so it is worthwhile to investigate how to integrate these new data types into the inference procedure. One such data is physical interactions between transcription factors and the genes they regulate as measured by ChIP-chip or ChIP-seq experiments. These interactions can be incorporated into the gene network inference procedure as a priori network information. In this article, we extend the ODE methodology into a general optimization framework that incorporates existing network information in combination with regularization parameters that encourage network sparsity. We provide theoretical results proving convergence of the estimator for our method and show the corresponding probabilistic interpretation also converges. We demonstrate our method on simulated network data and show that existing network information improves performance, overcomes the lack of observations, and performs well even when some of the existing network information is incorrect. We further apply our method to the core regulatory network of embryonic stem cells utilizing predicted interactions from two studies as existing network information. We show that including the prior network information constructs a more closely representative regulatory network versus when no information is provided.

  8. Which attention-deficit/hyperactivity disorder children will be improved through neurofeedback therapy? A graph theoretical approach to neocortex neuronal network of ADHD.

    Science.gov (United States)

    Ahmadlou, Mehran; Rostami, Reza; Sadeghi, Vahid

    2012-05-10

    Neurofeedback training is increasingly used for ADHD treatment. However some ADHD patients are not treated through the long-time neurofeedback trainings with common protocols. In this paper a new graph theoretical approach is presented for EEG-based prediction of ADHD patients' responses to a common neurofeedback training: rewarding SMR activity (12-15 Hz) with inhibiting theta activity (4-8 Hz) and beta2 activity (18-25 Hz). Eyes closed EEGs of two groups before and after neurofeedback training were studied: ADHD patients with (15 children) and without (15 children) positive response to neurofeedback training. Employing a recent method to measure synchronization, fuzzy synchronization likelihood, functional connectivity graphs of the patients' brains were constructed in the full-band EEGs and 6 common EEG sub-bands produced by wavelet decomposition. Then, efficiencies of the brain networks in synchronizability and high speed information transmission were computed based on mean path length of the graphs, before and after neurofeedback training. The results were analyzed by ANOVA and showed synchronizability of the neocortex activity network at beta band in ADHDs with positive response is obviously less than that of ADHDs resistant to neurofeedback therapy, before treatment. The accuracy of linear discriminant analysis (LDA) in distinguishing these patients based on this feature is so high (84.2%) that this feature can be considered as reliable characteristics for prediction of responses of ADHDs to the neurofeedback trainings. Also difference between flexibility of the neocortex in beta band before and after treatment is obviously larger in the ADHDs with positive response in comparison to those with negative response which may be a neurophysiologic reason for dissatisfaction of the last group to the neurofeedback therapy. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  9. Theoretical Foundations of Wireless Networks

    Science.gov (United States)

    2015-07-22

    local subproblems in the dual domain. The solution method is through a stochastic subgradient descent algorithm that operates without knowledge of the...solution method is through a stochastic subgradient descent algorithm that operates without knowledge of the fading’s probability distribution and

  10. Family skills for overcoming adversity

    Directory of Open Access Journals (Sweden)

    Mónica Patricia Ardila Hernández

    2013-12-01

    Full Text Available This section draws on research four families in displacement in Tunja Boyacá step of this research is to present the problem of displacement from another different look that has embargoed regarding this topic. Critical reflection was raised from resilient approach Parsons theory in order to understand families immersed in this conflict as change agents capable of adapting to a new system and overcome adversity. Within this scheme is used to obtain qualitative research of the following categories : adaptation to the new social context risk factors present in families and protective factors.

  11. Overcoming Blockages to Collective Innovation in Digital Infrastructures

    DEFF Research Database (Denmark)

    Rukanova, Boriana; Reuver, Mark; Henningsson, Stefan

    2017-01-01

    Decentralized digital technologies increasingly enable multiple organizations to co-create digital infrastructures. However, collective innovation processes often come to a stand-still because of conflicting interests and business models. While existing research suggests various factors that block...... collective innovation processes, there is still little understanding of how organizations can overcome these blockages. In this paper, we identify patterns that explain how organizations overcome blockages of collective innovation processes for digital infrastructures. We follow a processual approach...... and develop a conceptual framework based on collective action theory. We evaluate the framework through a longitudinal case study on mobile payment infrastructure development. We find various reconfiguration processes that organizations use to overcome blockages of collective innovation. Theoretically...

  12. Overcoming "the Valley of Death".

    Science.gov (United States)

    McIntyre, Robin A

    2014-01-01

    On a global level there are major challenges arising from climate change, resource use and changing age demographics. These issues have created a global marketplace for novel innovative products and solutions which can help to combat and overcome these challenges which have created significant commercial opportunities for companies, particularly for small and medium size enterprises or SMEs. Companies most likely to take advantage of these opportunities will be those which can innovate in a timely manner. Innovation significantly contributes to higher productivity and economic growth, and is core to a company's competitiveness within often challenging marketplaces. However, many factors can stifle innovation. Companies can struggle to identify finance for early-stage development, the returns can be difficult to predict, and the innovation 'landscape' is often complex and unclear. This brief review describes some of the main issues with commercialising innovative ideas and provides guidance with respect to the often complicated funding landscape both on a National and European level.

  13. Theoretical microfluidics

    DEFF Research Database (Denmark)

    Bruus, Henrik

    Microfluidics is a young and rapidly expanding scientific discipline, which deals with fluids and solutions in miniaturized systems, the so-called lab-on-a-chip systems. It has applications in chemical engineering, pharmaceutics, biotechnology and medicine. As the lab-on-a-chip systems grow...... in complexity, a proper theoretical understanding becomes increasingly important. The basic idea of the book is to provide a self-contained formulation of the theoretical framework of microfluidics, and at the same time give physical motivation and examples from lab-on-a-chip technology. After three chapters...... introducing microfluidics, the governing equations for mass, momentum and energy, and some basic flow solutions, the following 14 chapters treat hydraulic resistance/compliance, diffusion/dispersion, time-dependent flow, capillarity, electro- and magneto-hydrodynamics, thermal transport, two-phase flow...

  14. Theoretical Issues

    Energy Technology Data Exchange (ETDEWEB)

    Marc Vanderhaeghen

    2007-04-01

    The theoretical issues in the interpretation of the precision measurements of the nucleon-to-Delta transition by means of electromagnetic probes are highlighted. The results of these measurements are confronted with the state-of-the-art calculations based on chiral effective-field theories (EFT), lattice QCD, large-Nc relations, perturbative QCD, and QCD-inspired models. The link of the nucleon-to-Delta form factors to generalized parton distributions (GPDs) is also discussed.

  15. The effects of neuron morphology on graph theoretic measures of network connectivity: The analysis of a two-level statistical model

    Directory of Open Access Journals (Sweden)

    Jugoslava eAcimovic

    2015-06-01

    Full Text Available We developed a two-level statistical model that addresses the question of how properties of neurite morphology shape the large-scale network connectivity. We adopted a low-dimensional statistical description of neurites. From the neurite model description we derived the expected number of synapses, node degree, and the effective radius, the maximal distance between two neurons expected to form at least one synapse. We related these quantities to the network connectivity described using standard measures from graph theory, such as motif counts, clustering coefficient, minimal path length, and small-world coefficient. These measures are used in a neuroscience context to study phenomena from synaptic connectivity in the small neuronal networks to large scale functional connectivity in the cortex. For these measures we provide analytical solutions that clearly relate different model properties. Neurites that sparsely cover space lead to a small effective radius. If the effective radius is small compared to the overall neuron size the obtained networks share similarities with the uniform random networks as each neuron connects to a small number of distant neurons. Large neurites with densely packed branches lead to a large effective radius. If this effective radius is large compared to the neuron size, the obtained networks have many local connections. In between these extremes, the networks maximize the variability of connection repertoires. The presented approach connects the properties of neuron morphology with large scale network properties without requiring heavy simulations with many model parameters. The two-steps procedure provides an easier interpretation of the role of each modeled parameter. The model is flexible and each of its components can be further expanded. We identified a range of model parameters that maximizes variability in network connectivity, the property that might affect network capacity to exhibit different dynamical

  16. Theoretical physics

    CERN Document Server

    Joos, Georg

    1986-01-01

    Among the finest, most comprehensive treatments of theoretical physics ever written, this classic volume comprises a superb introduction to the main branches of the discipline and offers solid grounding for further research in a variety of fields. Students will find no better one-volume coverage of so many essential topics; moreover, since its first publication, the book has been substantially revised and updated with additional material on Bessel functions, spherical harmonics, superconductivity, elastomers, and other subjects.The first four chapters review mathematical topics needed by theo

  17. Overcoming Barriers in Unhealthy Settings

    Directory of Open Access Journals (Sweden)

    Michael K. Lemke

    2016-03-01

    Full Text Available We investigated the phenomenon of sustained health-supportive behaviors among long-haul commercial truck drivers, who belong to an occupational segment with extreme health disparities. With a focus on setting-level factors, this study sought to discover ways in which individuals exhibit resiliency while immersed in endemically obesogenic environments, as well as understand setting-level barriers to engaging in health-supportive behaviors. Using a transcendental phenomenological research design, 12 long-haul truck drivers who met screening criteria were selected using purposeful maximum sampling. Seven broad themes were identified: access to health resources, barriers to health behaviors, recommended alternative settings, constituents of health behavior, motivation for health behaviors, attitude toward health behaviors, and trucking culture. We suggest applying ecological theories of health behavior and settings approaches to improve driver health. We also propose the Integrative and Dynamic Healthy Commercial Driving (IDHCD paradigm, grounded in complexity science, as a new theoretical framework for improving driver health outcomes.

  18. Theoretical and Computational Studies of Condensed-Phase Phenomena: The Origin of Biological Homochirality, and the Liquid-Liquid Phase Transition in Network-Forming Fluids

    Science.gov (United States)

    Ricci, Francesco

    This dissertation describes theoretical and computational studies of the origin of biological homochirality, and the existence of a liquid-liquid phase transition in pure-component network-forming fluids. A common theme throughout these studies is the use of sophisticated computer simulation and statistical mechanics techniques to study complex condensed-phase phenomena. In the first part of this dissertation, we use an elementary lattice model with molecular degrees of freedom, and satisfying microscopic reversibility, to investigate the effect of reaction reversibility on the evolution of stochastic symmetry breaking via autocatalysis and mutual inhibition in a closed system. We identify conditions under which the system's evolution towards racemic equilibrium becomes extremely slow, allowing for long-time persistence of a symmetry-broken state. We also identify a "monomer purification" mechanism, due to which a nearly homochiral state can persist for long times, even in the presence of significant reverse reaction rates. Order of magnitude estimates show that with reasonable physical parameters a symmetry broken state could persist over geologically-relevant time scales. In the second part of this dissertation, we study a chiral-symmetry breaking mechanism known as Viedma ripening. We develop a Monte Carlo model to gain further insights into the mechanisms capable of reproducing key experimental signatures associated with this phenomenon. We also provide a comprehensive investigation of how the model parameters impact the system's overall behavior. It is shown that size-dependent crystal solubility alone is insufficient to reproduce most experimental signatures, and that some form of a solid-phase chiral feedback mechanism (e.g., agglomeration) must be invoked in our model. In the third part of this dissertation, we perform rigorous free energy calculations to investigate the possibility of a liquid-liquid phase transition (LLPT) in the Stillinger-Weber (SW

  19. Overcoming the Challenges of Co-creation

    Science.gov (United States)

    Pandya, R.; Udu-gama, N.; Goodwin, M.; Otellini, P.

    2016-12-01

    There is growing interest in co-creation, especially for community-related issues like climate change, resilience, pollution, and environmental justice. Nevertheless, co-creation is still not mainstream practice in either geosciences or the world of decision-makers. This presents many challenges. On the science side, challenges include a paucity of training opportunities, lack of funding for co-creation, difficulty publishing or otherwise getting credit for the effort, and a perceived lack of prestige compared to theoretical research. On the community side, parallel challenges include a lack of experience working with scientists or thinking about geoscience's relevance to community issues, tight budgets and competing priorities, the need for outputs beyond publications, and the difficulty including science among a range of factors. Additionally, scientists and community leaders often work across public and private sectors and must navigate different approaches to data, privacy, and accountability. We'll use this session to explore opportunities to overcome the challenges of co-creation. Systems thinking suggests a range of approaches: enabling individuals, reducing specific challenges, changing the relationship between the elements of the systems, and changing the goals or mindsets of the systems - each more powerful than the last. For example, mentoring and coaching enables individuals, and pro-bono work eases the challenge of getting professional credit. New modes of output, like plain language abstracts, change the relationship between publications and other outputs. We can work on changing mindsets by publicizing and celebrating individual successes. With more effort and impact, we can build collaborations in the collective impact model, where we bring scientific and community organizations together around a common agenda and shared measurement. Building on these examples, we will use this session to collect strategies and opportunities from all participants.

  20. Theoretical Physics 1. Theoretical Mechanics

    Energy Technology Data Exchange (ETDEWEB)

    Dreizler, Reiner M.; Luedde, Cora S. [Frankfurt Univ. (Germany). Inst. fuer Theoretische Physik

    2010-07-01

    After an introduction to basic concepts of mechanics more advanced topics build the major part of this book. Interspersed is a discussion of selected problems of motion. This is followed by a concise treatment of the Lagrangian and the Hamiltonian formulation of mechanics, as well as a brief excursion on chaotic motion. The last chapter deals with applications of the Lagrangian formulation to specific systems (coupled oscillators, rotating coordinate systems, rigid bodies). The level of this textbook is advanced undergraduate. The authors combine teaching experience of more than 40 years in all fields of Theoretical Physics and related mathematical disciplines and thorough knowledge in creating advanced eLearning content. The text is accompanied by an extensive collection of online material, in which the possibilities of the electronic medium are fully exploited, e.g. in the form of applets, 2D- and 3D-animations. (orig.)

  1. Overcoming Resistance to Training: A Nonconfrontive Approach.

    Science.gov (United States)

    Lipshitz, Raanan; And Others

    1989-01-01

    Three groups of strategies for overcoming trainee resistance are (1) preventing (distracting, assuming a "one-down" position, baiting, preempting, linking); (2) circumventing (refraining, disengaging); and (3) using resistance (treating it as substantive agreement). (SK)

  2. Theoretical Mechanics Theoretical Physics 1

    CERN Document Server

    Dreizler, Reiner M

    2011-01-01

    After an introduction to basic concepts of mechanics more advanced topics build the major part of this book. Interspersed is a discussion of selected problems of motion. This is followed by a concise treatment of the Lagrangian and the Hamiltonian formulation of mechanics, as well as a brief excursion on chaotic motion. The last chapter deals with applications of the Lagrangian formulation to specific systems (coupled oscillators, rotating coordinate systems, rigid bodies). The level of this textbook is advanced undergraduate. The authors combine teaching experience of more than 40 years in all fields of Theoretical Physics and related mathematical disciplines and thorough knowledge in creating advanced eLearning content. The text is accompanied by an extensive collection of online material, in which the possibilities of the electronic medium are fully exploited, e.g. in the form of applets, 2D- and 3D-animations. - A collection of 74 problems with detailed step-by-step guidance towards the solutions. - A col...

  3. Re-Vitalizing Worthiness: A theory of overcoming suicidality

    Directory of Open Access Journals (Sweden)

    Evelyn Gordon, RPN, Reg. Fam. Ther. & Sup. (FTAI, MSc, Ph.D.

    2011-06-01

    Full Text Available Rates of suicide and suicidality have risen in many countries in recent years and in Ireland this trend has been particularly evident among young men (NOSP, 2005, focusing attention on how best to respond to this group. Although mental health professionals have been identified as a key group to respond to the suicidal person, it has been suggested that they are ill-prepared for working in this area (Maltsberger & Goldblatt, 1996; Ting et al., 2006; Cutcliffe & Stevenson, 2007. This study aimed to address these issues by developing a theoretical understanding of suicidality among young men to inform professional practice. Using Classic Grounded Theory (Glaser & Strauss, 1967, in-depth one-to-one interviews were conducted with 17 young men who had been suicidal and had been in contact with the mental health services. The substantive theory that emerged, re-vitalizing worthiness in overcoming suicidality, describes the psychosocial process that young men go through to resolve their main concern, which centres on their painful pull between life and death. Overcoming suicidality involves moving from a death orientation to a life orientation while incorporating the inevitability of death into their new sense of being. This transition entails identity re-configuration whereby young men emerge as individuals of value who are deserving of life. The process is influenced significantly by personal insights and interpersonal interactions that influence their suicide trajectories and life pathways. The theory contributes to the fields of suicidology and mental health by providing a theoretical understanding of overcoming suicidality and identifying professional and social practices that facilitate and impede this process.

  4. Collaborative networks: Reference modeling

    NARCIS (Netherlands)

    Camarinha-Matos, L.M.; Afsarmanesh, H.

    2008-01-01

    Collaborative Networks: Reference Modeling works to establish a theoretical foundation for Collaborative Networks. Particular emphasis is put on modeling multiple facets of collaborative networks and establishing a comprehensive modeling framework that captures and structures diverse perspectives of

  5. Two projects in theoretical neuroscience: A convolution-based metric for neural membrane potentials and a combinatorial connectionist semantic network method

    Science.gov (United States)

    Evans, Garrett Nolan

    In this work, I present two projects that both contribute to the aim of discovering how intelligence manifests in the brain. The first project is a method for analyzing recorded neural signals, which takes the form of a convolution-based metric on neural membrane potential recordings. Relying only on integral and algebraic operations, the metric compares the timing and number of spikes within recordings as well as the recordings' subthreshold features: summarizing differences in these with a single "distance" between the recordings. Like van Rossum's (2001) metric for spike trains, the metric is based on a convolution operation that it performs on the input data. The kernel used for the convolution is carefully chosen such that it produces a desirable frequency space response and, unlike van Rossum's kernel, causes the metric to be first order both in differences between nearby spike times and in differences between same-time membrane potential values: an important trait. The second project is a combinatorial syntax method for connectionist semantic network encoding. Combinatorial syntax has been a point on which those who support a symbol-processing view of intelligent processing and those who favor a connectionist view have had difficulty seeing eye-to-eye. Symbol-processing theorists have persuasively argued that combinatorial syntax is necessary for certain intelligent mental operations, such as reasoning by analogy. Connectionists have focused on the versatility and adaptability offered by self-organizing networks of simple processing units. With this project, I show that there is a way to reconcile the two perspectives and to ascribe a combinatorial syntax to a connectionist network. The critical principle is to interpret nodes, or units, in the connectionist network as bound integrations of the interpretations for nodes that they share links with. Nodes need not correspond exactly to neurons and may correspond instead to distributed sets, or assemblies, of

  6. Z-Score-Based Modularity for Community Detection in Networks.

    Science.gov (United States)

    Miyauchi, Atsushi; Kawase, Yasushi

    2016-01-01

    Identifying community structure in networks is an issue of particular interest in network science. The modularity introduced by Newman and Girvan is the most popular quality function for community detection in networks. In this study, we identify a problem in the concept of modularity and suggest a solution to overcome this problem. Specifically, we obtain a new quality function for community detection. We refer to the function as Z-modularity because it measures the Z-score of a given partition with respect to the fraction of the number of edges within communities. Our theoretical analysis shows that Z-modularity mitigates the resolution limit of the original modularity in certain cases. Computational experiments using both artificial networks and well-known real-world networks demonstrate the validity and reliability of the proposed quality function.

  7. Classification of protein fold classes by knot theory and prediction of folds by neural networks: A combined theoretical and experimental approach

    DEFF Research Database (Denmark)

    Ramnarayan, K.; Bohr, Henrik; Jalkanen, Karl J.

    2008-01-01

    classifications, we utilize standard neural network methods for predicting protein fold classes from amino acid sequences. We also make an analysis of the redundancy of the structural classifications in relation to function and ligand binding. Finally we advocate the use of combining the measurement of the VA......We present different means of classifying protein structure. One is made rigorous by mathematical knot invariants that coincide reasonably well with ordinary graphical fold classification and another classification is by packing analysis. Furthermore when constructing our mathematical fold......, VCD, Raman, ROA, EA and ECD spectra with the primary sequence as a way to improve both the accuracy and reliability of fold class prediction schemes....

  8. Prediction of Multi-Target Networks of Neuroprotective Compounds with Entropy Indices and Synthesis, Assay, and Theoretical Study of New Asymmetric 1,2-Rasagiline Carbamates

    Directory of Open Access Journals (Sweden)

    Francisco J. Romero Durán

    2014-09-01

    Full Text Available In a multi-target complex network, the links (Lij represent the interactions between the drug (di and the target (tj, characterized by different experimental measures (Ki, Km, IC50, etc. obtained in pharmacological assays under diverse boundary conditions (cj. In this work, we handle Shannon entropy measures for developing a model encompassing a multi-target network of neuroprotective/neurotoxic compounds reported in the CHEMBL database. The model predicts correctly >8300 experimental outcomes with Accuracy, Specificity, and Sensitivity above 80%–90% on training and external validation series. Indeed, the model can calculate different outcomes for >30 experimental measures in >400 different experimental protocolsin relation with >150 molecular and cellular targets on 11 different organisms (including human. Hereafter, we reported by the first time the synthesis, characterization, and experimental assays of a new series of chiral 1,2-rasagiline carbamate derivatives not reported in previous works. The experimental tests included: (1 assay in absence of neurotoxic agents; (2 in the presence of glutamate; and (3 in the presence of H2O2. Lastly, we used the new Assessing Links with Moving Averages (ALMA-entropy model to predict possible outcomes for the new compounds in a high number of pharmacological tests not carried out experimentally.

  9. Overcoming Poverty as a Collective Obligation: Christian ...

    African Journals Online (AJOL)

    Religion Dept

    Overcoming Poverty as a Collective Obligation: Christian Perspective. C. I. Osunwokeh. Introduction. Resentment to poverty and the desire to be on the side of wealth no matter how problematic that may be to the interpretation of. Christ's teachings is lived an issue today as it has been since the beginning of Christianity.

  10. Communication in diabetes management: overcoming the challenges

    African Journals Online (AJOL)

    2011-08-24

    Aug 24, 2011 ... Review Article: Communication in diabetes management: overcoming the challenges. 53. 2012 Volume 17 No 1. JEMDSA requires scientific knowledge about which insulin to prescribe and when, and also the often-forgotten art of delicate communication between doctor and patient, in order to convey ...

  11. In My View. Overcoming Math Anxiety.

    Science.gov (United States)

    Fotoples, Robert M.

    2000-01-01

    Describes math anxiety, explaining roadblocks to mathematics success; discussing strategies for overcoming anxiety (e.g., parent involvement, teacher sensitivity, and peer tutoring); and examining the influence of learning styles on mathematics achievement and attitudes. Mathematics teachers must identify students' problems in mathematics, work…

  12. Overcoming Barriers in the Media Center

    Science.gov (United States)

    Winter, Clint

    2011-01-01

    Web 2.0 has revolutionized one's ability to teach students in new and exciting ways. Students with disabilities can now overcome many barriers that once kept them from being successful in the regular education classroom. Media specialists can effectively advocate for students with disabilities. School library media specialists have the ability to…

  13. Overcoming alienation in Africanising theological education

    African Journals Online (AJOL)

    2016-02-22

    Feb 22, 2016 ... It unpacks the idea of Africanisation within higher education in general, examining the rationale behind the calls for Africanisation, followed by a discussion on the implications of Africanisation for theological education. Overcoming alienation in Africanising theological education. Read online: Scan this QR.

  14. Successful Writing: Five Roadblocks to Overcome

    Science.gov (United States)

    King, Kathleen P.

    2013-01-01

    This article provides essential strategies to be more successful in one of the major roles in academia: writing. Most academics struggle with roadblocks in their writing process. We are forever battling to complete research articles, manuscripts, grant proposals or other documents. The strategies and perspective shared here help overcome several…

  15. A SYSTEMIC VISION OF BIOLOGY: OVERCOMING LINEARITY

    Directory of Open Access Journals (Sweden)

    M. Mayer

    2005-07-01

    were used to build  a hipermedia  material.  This  technology  permit  overcomes a linear  communication, improving the  comprehension  of the network perspective.   The teachers  speeches revealed  their  conceptual  con- structions along the  course,  showed the development of the  competences  in identify  interconnection points  in the flow and chemical cycling of energy, compatible  with a systemic view of life.

  16. Spatio-temporal dependence of the signaling response in immune-receptor trafficking networks regulated by cell density: a theoretical model.

    Directory of Open Access Journals (Sweden)

    Pilar García-Peñarrubia

    Full Text Available Cell signaling processes involve receptor trafficking through highly connected networks of interacting components. The binding of surface receptors to their specific ligands is a key factor for the control and triggering of signaling pathways. In most experimental systems, ligand concentration and cell density vary within a wide range of values. Dependence of the signal response on cell density is related with the extracellular volume available per cell. This dependence has previously been studied using non-spatial models which assume that signaling components are well mixed and uniformly distributed in a single compartment. In this paper, a mathematical model that shows the influence exerted by cell density on the spatio-temporal evolution of ligands, cell surface receptors, and intracellular signaling molecules is developed. To this end, partial differential equations were used to model ligand and receptor trafficking dynamics through the different domains of the whole system. This enabled us to analyze several interesting features involved with these systems, namely: a how the perturbation caused by the signaling response propagates through the system; b receptor internalization dynamics and how cell density affects the robustness of dose-response curves upon variation of the binding affinity; and c that enhanced correlations between ligand input and system response are obtained under conditions that result in larger perturbations of the equilibrium ligand + surface receptor [Please see text] ligand - receptor complex. Finally, the results are compared with those obtained by considering that the above components are well mixed in a single compartment.

  17. The small and rural academic library leveraging resources and overcoming limitations

    CERN Document Server

    Davis Kendrick, Kaetrena

    2016-01-01

    Through the use of case studies, research, and practical interviews, The Small or Rural Academic Library: Leveraging Resources and Overcoming Limitations explores how academic librarians in such environments can keep pace with, create, and improve modern library practices and services, network with colleagues, and access continuing education and professional development opportunities.

  18. Game theoretic approaches for spectrum redistribution

    CERN Document Server

    Wu, Fan

    2014-01-01

    This brief examines issues of spectrum allocation for the limited resources of radio spectrum. It uses a game-theoretic perspective, in which the nodes in the wireless network are rational and always pursue their own objectives. It provides a systematic study of the approaches that can guarantee the system's convergence at an equilibrium state, in which the system performance is optimal or sub-optimal. The author provides a short tutorial on game theory, explains game-theoretic channel allocation in clique and in multi-hop wireless networks and explores challenges in designing game-theoretic m

  19. Synthetic lethality to overcome cancer drug resistance.

    Science.gov (United States)

    Porcelli, L; Quatrale, A E; Mantuano, P; Silvestris, N; Brunetti, A E; Calvert, H; Paradiso, A; Azzariti, A

    2012-01-01

    A large body of evidence point out that the onset of synthetic lethality may provide a useful tool for amplifying the efficacy of drugs in anticancer regimens, to uncover interdependence between genes and to identify predictive factors that would be extremely useful to guide in the selection of more effective targeted drugs and drug combinations for each patient. Here, we provide an overview on the exploitation of synthetic lethality to overcome drug resistance to conventional chemotherapy in several types of solid tumors. We report recent findings on cellular markers and gene mutations which are specifically essential for the viability of cancer cells and for resistance to chemotherapeutics. In addition, new molecularly targeted strategies to overcome drug resistance are suggested.

  20. Splitting Enables Overcoming the Curse of Dimensionality

    Science.gov (United States)

    2015-12-01

    fast algorithm for solving a a large class of high dimensional Hamilton- Jacobi (H-J) initial value problems arising in optimal control and elsewhere [1...type we use the fact that H∗ is the characteristic function of a closed convex set C ⊂ Rn H∗ = Ic. By using the Moreau identity [7] we realize that...Osher, Algorithms for Overcoming the Curse of Di- mensionality for Certain Hamilton- Jacobi Equations Arising in Control Theory and Elsewhere UCLA CAM

  1. A theoretical framework for the associations between identity and psychopathology.

    Science.gov (United States)

    Klimstra, Theo A; Denissen, Jaap J A

    2017-11-01

    Identity research largely emerged from clinical observations. Decades of empirical work advanced the field in refining existing approaches and adding new approaches. Furthermore, the existence of linkages of identity with psychopathology is now well established. Unfortunately, both the directionality of effects between identity aspects and psychopathology symptoms, and the mechanisms underlying associations are unclear. In the present paper, we present a new framework to inspire hypothesis-driven empirical research to overcome this limitation. The framework has a basic resemblance to theoretical models for the study of personality and psychopathology, so we provide examples of how these might apply to the study of identity. Next, we explain that unique features of identity may come into play in individuals suffering from psychopathology that are mostly related to the content of one's identity. These include pros and cons of identifying with one's diagnostic label. Finally, inspired by Hermans' dialogical self theory and principles derived from Piaget's, Swann's and Kelly's work, we delineate a framework with identity at the core of an individual multidimensional space. In this space, psychopathology symptoms have a known distance (representing relevance) to one's identity, and individual multidimensional spaces are connected to those of other individuals in one's social network. We discuss methodological (quantitative and qualitative, idiographic and nomothetic) and statistical procedures (multilevel models and network models) to test the framework. Resulting evidence can boost the field of identity research in demonstrating its high practical relevance for the emergence and conservation of psychopathology. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  2. Helping Students Overcome Foreign Language Speaking Anxiety in the English Classroom: Theoretical Issues and Practical Recommendations

    Science.gov (United States)

    Tsiplakides, Iakovos; Keramida, Areti

    2009-01-01

    Despite the fact that foreign language speaking anxiety is a common phenomenon in the teaching of English as a foreign language in Greece, teachers do not always identify anxious students, and often attribute their unwillingness to participate in speaking tasks to factors such as lack of motivation, or low performance. This article aims to…

  3. Barriers to women engaging in collective action to overcome sexism.

    Science.gov (United States)

    Radke, Helena R M; Hornsey, Matthew J; Barlow, Fiona Kate

    2016-12-01

    Over centuries women have fought hard to obtain increasing gender equality, but despite these successes absolute equality remains an elusive goal. Theoretically, women's numerical strength makes them well-placed to take effective collective action, and millions of women engage in feminist collective action every day. In this article, however, we argue that women also face barriers to engaging in feminist collective action; barriers that are associated with the social construction and experience of what it means to be a woman. Our review synthesizes sexism research under a contemporary collective action framework to clarify our current understanding of the literature and to offer novel theoretical explanations for why women might be discouraged from engaging in feminist collective action. Using the antecedents of collective action identified by van Zomeren, Postmes, and Spears' (2008) meta-analysis, we critically review the sexism literature to argue that women face challenges when it comes to (a) identifying with other women and feminists, (b) perceiving sexism and expressing group-based anger, and (c) recognizing the efficacy of collective action. We then outline a research agenda with a view to investigating ways of overcoming these barriers. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  4. Network neuroscience.

    Science.gov (United States)

    Bassett, Danielle S; Sporns, Olaf

    2017-02-23

    Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, brain areas and social systems; and the theoretical framework and computational tools of modern network science. The convergence of empirical and computational advances opens new frontiers of scientific inquiry, including network dynamics, manipulation and control of brain networks, and integration of network processes across spatiotemporal domains. We review emerging trends in network neuroscience and attempt to chart a path toward a better understanding of the brain as a multiscale networked system.

  5. Overcoming Resistance to Change: Theoretical Approaches and Implementation Преодоление сопротивления изменениям: теоретические подходы и реализация

    Directory of Open Access Journals (Sweden)

    Amosov Oleg Yu.

    2013-01-01

    Full Text Available In today's post-crisis development of the economy, businesses to survive in the market and remain competitive need to make changes to their business activities. In practice and research, more and more attention is paid to the methods and organizational change management capabilities. At present, many enterprises make changes in the forms and methods of management, aimed at stimulating the development of new economic relations. The purpose of this study is to review the rationale for the scientific and theoretical approaches to overcome resistance to change and the development of activities having an anti-crisis character. In the study, the analysis of various approaches to overcome resistance to change was made. It was identified six steps leading to effective change that focus on changing roles of employees, specify responsibilities and correct relations to solve specific organizational problems in small offices, goals and objectives that can be clearly defined.В современных условиях посткризисного развития экономики, предприятия для выживания на рынке и сохранения конкурентоспособности должны вносить изменения в свою хозяйственную деятельность. В практике и научных исследованиях все больше внимания уделяется анализу методов и организационным возможностям управления изменениями. В настоящее время многие предприятия осуществляют преобразования в формах и методах управления, направленных на стимулирование развития новых экономических отношений. Целью исследования является обоснование не

  6. Wireless Information-Theoretic Security in an Outdoor Topology with Obstacles: Theoretical Analysis and Experimental Measurements

    Directory of Open Access Journals (Sweden)

    Dagiuklas Tasos

    2011-01-01

    Full Text Available This paper presents a Wireless Information-Theoretic Security (WITS scheme, which has been recently introduced as a robust physical layer-based security solution, especially for infrastructureless networks. An autonomic network of moving users was implemented via 802.11n nodes of an ad hoc network for an outdoor topology with obstacles. Obstructed-Line-of-Sight (OLOS and Non-Line-of-Sight (NLOS propagation scenarios were examined. Low-speed user movement was considered, so that Doppler spread could be discarded. A transmitter and a legitimate receiver exchanged information in the presence of a moving eavesdropper. Average Signal-to-Noise Ratio (SNR values were acquired for both the main and the wiretap channel, and the Probability of Nonzero Secrecy Capacity was calculated based on theoretical formula. Experimental results validate theoretical findings stressing the importance of user location and mobility schemes on the robustness of Wireless Information-Theoretic Security and call for further theoretical analysis.

  7. Overcoming resistance to β-lactam antibiotics.

    Science.gov (United States)

    Worthington, Roberta J; Melander, Christian

    2013-05-03

    β-Lactam antibiotics are one of the most important antibiotic classes but are plagued by problems of resistance, and the development of new β-lactam antibiotics through side-chain modification of existing β-lactam classes is not keeping pace with resistance development. In this JOCSynopsis, we summarize small molecule strategies to overcome resistance to β-lactam antibiotics. These approaches include the development of β-lactamase inhibitors and compounds that interfere with the ability of the bacteria to sense an antibiotic threat and activate their resistance mechanisms.

  8. Overcome IMF crisis with idea and invention

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Yeon Jung

    1998-01-15

    This book introduces the invention as a tool to overcome IMF crisis. These are the titles of the way to create invention and idea : what is idea? everyone can create something, have a confidence, this is patent, replace or change something, invention is not logical, challenge the normal law, throw away stereotype, movement of idea, original imagination, there are a lot of solutions, there is no expert, have a positive thought, why does inventor invent? necessity is invention of mother, three stage of idea and invention and imitation for invention.

  9. Overcoming Challenges in Engineering the Genetic Code.

    Science.gov (United States)

    Lajoie, M J; Söll, D; Church, G M

    2016-02-27

    Withstanding 3.5 billion years of genetic drift, the canonical genetic code remains such a fundamental foundation for the complexity of life that it is highly conserved across all three phylogenetic domains. Genome engineering technologies are now making it possible to rationally change the genetic code, offering resistance to viruses, genetic isolation from horizontal gene transfer, and prevention of environmental escape by genetically modified organisms. We discuss the biochemical, genetic, and technological challenges that must be overcome in order to engineer the genetic code. Copyright © 2015 Elsevier Ltd. All rights reserved.

  10. Periodontal maintenance--overcoming the barriers.

    Science.gov (United States)

    Fardal, Øystein

    2011-01-01

    Periodontal maintenance therapy is the most important stage of periodontal treatment, yet compliance is low. Overcoming the barriers associated with the low compliance involves a complex set of problems relating to the patient, the clinician and the interactions between them. It is therefore important to create a periodontal maintenance treatment programme which takes into consideration the needs of each individual patient. In addition, regional variations and differences in practice profiles are also factors to be accommodated in a maintenance programme. Good co-operation between the referring dentist and the specialist is required when recommendations are made to the patient regarding maintenance therapy.

  11. Strategies to Overcome Heparins’ Low Oral Bioavailability

    Directory of Open Access Journals (Sweden)

    Ana Rita Neves

    2016-06-01

    Full Text Available Even after a century, heparin is still the most effective anticoagulant available with few side effects. The poor oral absorption of heparins triggered the search for strategies to achieve oral bioavailability since this route has evident advantages over parenteral administration. Several approaches emerged, such as conjugation of heparins with bile acids and lipids, formulation with penetration enhancers, and encapsulation of heparins in micro and nanoparticles. Some of these strategies appear to have potential as good delivery systems to overcome heparin’s low oral bioavailability. Nevertheless, none have reached the market yet. Overall, this review aims to provide insights regarding the oral bioavailability of heparin.

  12. Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Hao Li

    2016-01-01

    Full Text Available 1,1,1,2,3,3,3-Heptafluoropropane (R227ea is a good refrigerant that reduces greenhouse effects and ozone depletion. In practical applications, we usually have to know the compressed liquid densities at different temperatures and pressures. However, the measurement requires a series of complex apparatus and operations, wasting too much manpower and resources. To solve these problems, here, Song and Mason equation, support vector machine (SVM, and artificial neural networks (ANNs were used to develop theoretical and machine learning models, respectively, in order to predict the compressed liquid densities of R227ea with only the inputs of temperatures and pressures. Results show that compared with the Song and Mason equation, appropriate machine learning models trained with precise experimental samples have better predicted results, with lower root mean square errors (RMSEs (e.g., the RMSE of the SVM trained with data provided by Fedele et al. [1] is 0.11, while the RMSE of the Song and Mason equation is 196.26. Compared to advanced conventional measurements, knowledge-based machine learning models are proved to be more time-saving and user-friendly.

  13. Network-Theoretic Modeling of Fluid Flow

    Science.gov (United States)

    2015-07-29

    structures. The corresponding degree distribution plot exhibits scale-free characteristics with P ≈ Ck−γ±∆γ (panel c). The inset shows the circos plot of...behavior cascades down to smaller scales. Visualization of the degree distribution with a circos plot (panel c) clearly shows the universal scale-free

  14. The Attempt to Overcome Time Dynamic Theory in the Concept Of Eternal Return

    Directory of Open Access Journals (Sweden)

    Elizbar Elizbarashvili

    2014-05-01

    Full Text Available The article discusses the various variants of time rotation eternal concept, and how it was directed to overcome time dynamical theory. The article describes time cycle theory in the period of the Vedas, antiques philosophy and Nietzsche’s philosophy. The article highlights three major features of the time dynamic theory but none of them is finally overcame in time cycling concept. It is concluded that the time dynamic theory is theoretically not established.

  15. Weather in Mountainous Terrain (Overcoming Scientific Barriers to Weather Support)

    Science.gov (United States)

    2011-02-15

    Weather in Mountainous Terrain (Overcoming Scientific Barriers to Weather Support) Fiesta Resort & Conference Center Tempe, AZ February 1...Meteorology Overcoming Scientific Barriers to Weather Support Fiesta Resort & Conference Center Tempe, AZ February 1 & 2, 2010 Hosted by University

  16. Overcoming Multidrug Resistance in Cancer Stem Cells

    Directory of Open Access Journals (Sweden)

    Karobi Moitra

    2015-01-01

    Full Text Available The principle mechanism of protection of stem cells is through the expression of ATP-binding cassette (ABC transporters. These transporters serve as the guardians of the stem cell population in the body. Unfortunately these very same ABC efflux pumps afford protection to cancer stem cells in tumors, shielding them from the adverse effects of chemotherapy. A number of strategies to circumvent the function of these transporters in cancer stem cells are currently under investigation. These strategies include the development of competitive and allosteric modulators, nanoparticle mediated delivery of inhibitors, targeted transcriptional regulation of ABC transporters, miRNA mediated inhibition, and targeting of signaling pathways that modulate ABC transporters. The role of ABC transporters in cancer stem cells will be explored in this paper and strategies aimed at overcoming drug resistance caused by these particular transporters will also be discussed.

  17. Overcoming the isolation of disadvantaged housing areas

    DEFF Research Database (Denmark)

    Stender, Marie; Bech-Danielsen, Claus

    Disadvantaged social housing areas in Denmark are currently subject to more thorough physical refurbishments, aiming to overcome the isolated character of the housing estates. The ambition is to attract new users and residents by opening up the borders of the area and establish attractive, new...... penthouse flats, new urban functions within the area or spectacular new public spaces near it. In this paper the social impact of such transformations are analysed and discussed based on case-studies in 3 Danish areas. The analysis shows that especially everyday-route strategies adding new public functions...... within the area can pave can the way for integration with the surroundings. The applicability of such strategies is however highly dependent on context, location and existing image. Social distance may sustain though physical borders are removed, yet, the negative image of the areas can in itself call...

  18. Innovative Strategies to Overcome Biofilm Resistance

    Science.gov (United States)

    Taraszkiewicz, Aleksandra; Fila, Grzegorz; Grinholc, Mariusz; Nakonieczna, Joanna

    2013-01-01

    We review the recent literature concerning the efficiency of antimicrobial photodynamic inactivation toward various microbial species in planktonic and biofilm cultures. The review is mainly focused on biofilm-growing microrganisms because this form of growth poses a threat to chronically infected or immunocompromised patients and is difficult to eradicate from medical devices. We discuss the biofilm formation process and mechanisms of its increased resistance to various antimicrobials. We present, based on data in the literature, strategies for overcoming the problem of biofilm resistance. Factors that have potential for use in increasing the efficiency of the killing of biofilm-forming bacteria include plant extracts, enzymes that disturb the biofilm structure, and other nonenzymatic molecules. We propose combining antimicrobial photodynamic therapy with various antimicrobial and antibiofilm approaches to obtain a synergistic effect to permit efficient microbial growth control at low photosensitizer doses. PMID:23509680

  19. Innovative Strategies to Overcome Biofilm Resistance

    Directory of Open Access Journals (Sweden)

    Aleksandra Taraszkiewicz

    2013-01-01

    Full Text Available We review the recent literature concerning the efficiency of antimicrobial photodynamic inactivation toward various microbial species in planktonic and biofilm cultures. The review is mainly focused on biofilm-growing microrganisms because this form of growth poses a threat to chronically infected or immunocompromised patients and is difficult to eradicate from medical devices. We discuss the biofilm formation process and mechanisms of its increased resistance to various antimicrobials. We present, based on data in the literature, strategies for overcoming the problem of biofilm resistance. Factors that have potential for use in increasing the efficiency of the killing of biofilm-forming bacteria include plant extracts, enzymes that disturb the biofilm structure, and other nonenzymatic molecules. We propose combining antimicrobial photodynamic therapy with various antimicrobial and antibiofilm approaches to obtain a synergistic effect to permit efficient microbial growth control at low photosensitizer doses.

  20. Study of a family that overcomes poverty issues: family resilience?

    Directory of Open Access Journals (Sweden)

    María Ángela Mattar Yunes

    2015-09-01

    Full Text Available Generally, researches with families focus the difficulties and the negative aspects of family life by bringing up their maladjustments and failures. The interest in family resilience contributes to change this logic by demonstrating the healthy aspects of the family world. Nevertheless, the term resilience presents ideological controversies which are more severe when the discussion is about families and poverty. In order to diminish these contradictions this study adopted a systemic concept of resilience which refers to “those processes that make possible to overcome adversities”. A case study was realized with a low income family who lived in a “very poor” neighborhood in the deep south of Brazil. The methodological strategies to the formal investigation of the family were: life history of the family using the principles of reflexive interview, genograms and data analyses through the approach of the grounded theory. The results showed that the family lived a number of risk experiences such as adoption, privation of basic needs, migration and diseases. Among the indicators of their abilities of “overcoming adversities”, emerged the belief system as the core of the discourses. The family showed that they value the interpersonal relationships through intra and extra familiar interactions based in the patterns of help, learning, affection and solidarity. During the crisis the family gives meaning to the difficulties in order to maintaining the situation controlled through cohesion, open communication, mutual respect and getting support of the extended family/ social network. The pos-adversity period is perceived as benefic and transforming as the family feels stronger and with feelings of solidarity, which is a mark of this family. Their attitude in relation to the neighborhood is active in the sense of promoting the welfare of other families who live in the same social address. Would those above identified processes be adequate to

  1. A theoretical study on seasonality.

    Science.gov (United States)

    Schmal, Christoph; Myung, Jihwan; Herzel, Hanspeter; Bordyugov, Grigory

    2015-01-01

    In addition to being endogenous, a circadian system must be able to communicate with the outside world and align its rhythmicity to the environment. As a result of such alignment, external Zeitgebers can entrain the circadian system. Entrainment expresses itself in coinciding periods of the circadian oscillator and the Zeitgeber and a stationary phase difference between them. The range of period mismatches between the circadian system and the Zeitgeber that Zeitgeber can overcome to entrain the oscillator is called an entrainment range. The width of the entrainment range usually increases with increasing Zeitgeber strength, resulting in a wedge-like Arnold tongue. This classical view of entrainment does not account for the effects of photoperiod on entrainment. Zeitgebers with extremely small or large photoperiods are intuitively closer to constant environments than equinoctial Zeitgebers and hence are expected to produce a narrower entrainment range. In this paper, we present theoretical results on entrainment under different photoperiods. We find that in the photoperiod-detuning parameter plane, the entrainment zone is shaped in the form of a skewed onion. The bottom and upper points of the onion are given by the free-running periods in DD and LL, respectively. The widest entrainment range is found near photoperiods of 50%. Within the onion, we calculated the entrainment phase that varies over a range of 12 h. The results of our theoretical study explain the experimentally observed behavior of the entrainment phase in dependence on the photoperiod.

  2. Wireless Sensors Network (Sensornet)

    Science.gov (United States)

    Perotti, J.

    2003-01-01

    The Wireless Sensor Network System presented in this paper provides a flexible reconfigurable architecture that could be used in a broad range of applications. It also provides a sensor network with increased reliability; decreased maintainability costs, and assured data availability by autonomously and automatically reconfiguring to overcome communication interferences.

  3. Correlated Action Effects in Decision Theoretic Regression

    OpenAIRE

    Boutilier, Craig

    2013-01-01

    Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by exploiting problem structure. One particular algorithm, structured policy construction achieves this by means of a decision theoretic analog of goal regression using action descriptions based on Bayesian networks with tree-structured conditional probability tables. The algorithm as presented is not able to deal with...

  4. 2D MI-DRAGON: a new predictor for protein-ligands interactions and theoretic-experimental studies of US FDA drug-target network, oxoisoaporphine inhibitors for MAO-A and human parasite proteins.

    Science.gov (United States)

    Prado-Prado, Francisco; García-Mera, Xerardo; Escobar, Manuel; Sobarzo-Sánchez, Eduardo; Yañez, Matilde; Riera-Fernandez, Pablo; González-Díaz, Humberto

    2011-12-01

    There are many pairs of possible Drug-Proteins Interactions that may take place or not (DPIs/nDPIs) between drugs with high affinity/non-affinity for different proteins. This fact makes expensive in terms of time and resources, for instance, the determination of all possible ligands-protein interactions for a single drug. In this sense, we can use Quantitative Structure-Activity Relationships (QSAR) models to carry out rational DPIs prediction. Unfortunately, almost all QSAR models predict activity against only one target. To solve this problem we can develop multi-target QSAR (mt-QSAR) models. In this work, we introduce the technique 2D MI-DRAGON a new predictor for DPIs based on two different well-known software. We use the software MARCH-INSIDE (MI) to calculate 3D structural parameters for targets and the software DRAGON was used to calculated 2D molecular descriptors all drugs showing known DPIs present in the Drug Bank (US FDA benchmark dataset). Both classes of parameters were used as input of different Artificial Neural Network (ANN) algorithms to seek an accurate non-linear mt-QSAR predictor. The best ANN model found is a Multi-Layer Perceptron (MLP) with profile MLP 21:21-31-1:1. This MLP classifies correctly 303 out of 339 DPIs (Sensitivity = 89.38%) and 480 out of 510 nDPIs (Specificity = 94.12%), corresponding to training Accuracy = 92.23%. The validation of the model was carried out by means of external predicting series with Sensitivity = 92.18% (625/678 DPIs; Specificity = 90.12% (730/780 nDPIs) and Accuracy = 91.06%. 2D MI-DRAGON offers a good opportunity for fast-track calculation of all possible DPIs of one drug enabling us to re-construct large drug-target or DPIs Complex Networks (CNs). For instance, we reconstructed the CN of the US FDA benchmark dataset with 855 nodes 519 drugs+336 targets). We predicted CN with similar topology (observed and predicted values of average distance are equal to 6.7 vs. 6.6). These CNs can be used to explore

  5. Vulnerability of network of networks

    Science.gov (United States)

    Havlin, S.; Kenett, D. Y.; Bashan, A.; Gao, J.; Stanley, H. E.

    2014-10-01

    Our dependence on networks - be they infrastructure, economic, social or others - leaves us prone to crises caused by the vulnerabilities of these networks. There is a great need to develop new methods to protect infrastructure networks and prevent cascade of failures (especially in cases of coupled networks). Terrorist attacks on transportation networks have traumatized modern societies. With a single blast, it has become possible to paralyze airline traffic, electric power supply, ground transportation or Internet communication. How, and at which cost can one restructure the network such that it will become more robust against malicious attacks? The gradual increase in attacks on the networks society depends on - Internet, mobile phone, transportation, air travel, banking, etc. - emphasize the need to develop new strategies to protect and defend these crucial networks of communication and infrastructure networks. One example is the threat of liquid explosives a few years ago, which completely shut down air travel for days, and has created extreme changes in regulations. Such threats and dangers warrant the need for new tools and strategies to defend critical infrastructure. In this paper we review recent advances in the theoretical understanding of the vulnerabilities of interdependent networks with and without spatial embedding, attack strategies and their affect on such networks of networks as well as recently developed strategies to optimize and repair failures caused by such attacks.

  6. Interconnection policy: a theoretical survey

    Directory of Open Access Journals (Sweden)

    César Mattos

    2003-01-01

    Full Text Available This article surveys the theoretical foundations of interconnection policy. The requirement of an interconnection policy should not be taken for granted in all circumstances, even considering the issue of network externalities. On the other hand, when it is required, an encompassing interconnection policy is usually justified. We provide an overview of the theory on interconnection pricing that results in several different prescriptions depending on which problem the regulator aims to address. We also present a survey on the literature on two-way interconnection.

  7. Machine learning a theoretical approach

    CERN Document Server

    Natarajan, Balas K

    2014-01-01

    This is the first comprehensive introduction to computational learning theory. The author's uniform presentation of fundamental results and their applications offers AI researchers a theoretical perspective on the problems they study. The book presents tools for the analysis of probabilistic models of learning, tools that crisply classify what is and is not efficiently learnable. After a general introduction to Valiant's PAC paradigm and the important notion of the Vapnik-Chervonenkis dimension, the author explores specific topics such as finite automata and neural networks. The presentation

  8. Nurse scientists overcoming challenges to lead transdisciplinary research teams.

    Science.gov (United States)

    Kneipp, Shawn M; Gilleskie, Donna; Sheely, Amanda; Schwartz, Todd; Gilmore, Robert M; Atkinson, Daryl

    2014-01-01

    Increasingly, scientific funding agencies are requiring that researchers move toward an integrated, transdisciplinary team science paradigm. Although the barriers to and rewards of conducting this type of research have been discussed in the literature, examples of how nurse investigators have led these teams to reconcile the differences in theoretical, methodological, and/or analytic perspectives that inevitably exist are lacking. In this article, we describe these developmental trajectory challenges through a case study of one transdisciplinary team, focusing on team member characteristics and the leadership tasks associated with successful transdisciplinary science teams in the literature. Specifically, we describe how overcoming these challenges has been essential to examining the complex and potentially cumulative effects that key intersections between legal, social welfare, and labor market systems may have on the health of disadvantaged women. Finally, we discuss this difficult but rewarding work within the context of lessons learned and transdisciplinary team research in relation to the future of nursing science. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. Networked Identities

    DEFF Research Database (Denmark)

    Ryberg, Thomas; Larsen, Malene Charlotte

    2008-01-01

    In this article we take up a critique of the concept of Communities of Practice (CoP) voiced by several authors, who suggest that networks may provide a better metaphor to understand social forms of organisation and learning. Through a discussion of the notion of networked learning and the critique...... of CoPs we shall argue that the metaphor or theory of networked learning is itself confronted with some central tensions and challenges that need to be addressed. We then explore these theoretical and analytic challenges to the network metaphor, through an analysis of a Danish social networking site. We...... argue that understanding meaning-making and ‘networked identities’ may be relevant analytic entry points in navigating the challenges....

  10. Towards understanding international migration determinants today: Theoretical perspective

    Directory of Open Access Journals (Sweden)

    Predojević-Despić Jelena

    2010-01-01

    significantly different from those which lead to their stabilization in time and space. Although differences in the income height, risks, employment possibilities, market expansion can all influence the continuation of spatial movement of population, new conditions which arise during migration begin to act as independent factors: development of migratory networks, institutionalized support to the development of trans-national activities, as well as changing the social context of work in countries of destination. Therefore, in the analysis of contemporary international migrations the necessity arises for a systematic approach, namely dynamic perspective of research - from recognition to a detailed insight in changeable trends and forms of contemporary migratory movements in the world. In addition, at the same time with the development of new markets, regional economies and technology centers, there has been a 'trans-national turnabout' in the last fifteen years or so in researching migrations, namely a significant development in the approach which stresses the relations which migrants maintain with their families, communities and cultures which are out of the country in which they migrated in. The final part of the paper calls for the requirement of the following: coordination of theoretical concepts with new social conditions, post-industrial world and global processes of transformations in which migrations have an important role; overcoming inadequate coordination and isolation in studying migrations within special scientific disciplines, as well as poor connections of certain aspects of migration study; research of the causes and consequences of migrations as an inseparable part of the general process of social development. .

  11. Understanding and overcoming metformin gastrointestinal intolerance.

    Science.gov (United States)

    Bonnet, Fabrice; Scheen, André

    2017-04-01

    Metformin is the most widely prescribed drug for patients with type 2 diabetes mellitus and the first-line pharmacological option as supported by multiple international guidelines, yet a rather large proportion of patients cannot tolerate metformin in adequate amounts because of its associated gastrointestinal (GI) adverse events (AEs). GI AEs typically encountered with metformin therapy include diarrhoea, nausea, flatulence, indigestion, vomiting and abdominal discomfort, with diarrhoea and nausea being the most common. Although starting at a low dose and titrating slowly may help prevent some GI AEs associated with metformin, some patients are unable to tolerate metformin at all and it may also be difficult to convince patients to start metformin again after a bout of GI AEs. Despite this clinical importance, the underlying mechanisms of the GI intolerance associated with metformin are poorly known. In the present review, we discuss: the epidemiology of metformin-associated GI intolerance and its underlying mechanisms; genotype variability and associated factors affecting metformin GI intolerance, such as comorbidities, co-medications and bariatric surgery; clinical consequences and therapeutic strategies to overcome metformin GI intolerance. These strategies include appropriate titration of immediate-release metformin, use of extended-release metformin, the promise of delayed-release metformin and gut microbiome modulators, as well as alternative pharmacological therapies when metformin cannot be tolerated at all. Given the available data, all efforts should be made to maintain metformin before considering a shift to another drug therapy. © 2016 John Wiley & Sons Ltd.

  12. Overcoming Drug Resistance in Pancreatic Cancer

    Science.gov (United States)

    Long, Jiang; Zhang, Yuqing; Yu, Xianjun; Yang, Jingxuan; LeBrun, Drake; Chen, Changyi; Yao, Qizhi; Li, Min

    2011-01-01

    Introduction Pancreatic cancer has the worst survival rate of all cancers. The current standard care for metastatic pancreatic cancer is gemcitabine, however, the success of this treatment is poor and overall survival has not improved for decades. Drug resistance (both intrinsic and acquired) is thought to be a major reason for the limited benefit of most pancreatic cancer therapies. Areas covered Previous studies have indicated various mechanisms of drug resistance in pancreatic cancer, including changes in individual genes or signaling pathways, the influence of the tumor microenvironment, and the presence of highly resistant stem cells. This review summarizes recent advances in the mechanisms of drug resistance in pancreatic cancer, and potential strategies to overcome this. Expert Opinion Increasing drug delivery efficiency and decreasing drug resistance is the current aim in pancreatic cancer treatment, and will also benefit the treatment of other cancers. Understanding the molecular and cellular basis of drug resistance in pancreatic cancer will lead to the development of novel therapeutic strategies with the potential to sensitize pancreatic cancer to chemotherapy, and to increase the efficacy of current treatments in a wide variety of human cancers. PMID:21391891

  13. Overcoming an obstacle in expanding a UMLS semantic type extent.

    Science.gov (United States)

    Chen, Yan; Gu, Huanying; Perl, Yehoshua; Geller, James

    2012-02-01

    This paper strives to overcome a major problem encountered by a previous expansion methodology for discovering concepts highly likely to be missing a specific semantic type assignment in the UMLS. This methodology is the basis for an algorithm that presents the discovered concepts to a human auditor for review and possible correction. We analyzed the problem of the previous expansion methodology and discovered that it was due to an obstacle constituted by one or more concepts assigned the UMLS Semantic Network semantic type Classification. A new methodology was designed that bypasses such an obstacle without a combinatorial explosion in the number of concepts presented to the human auditor for review. The new expansion methodology with obstacle avoidance was tested with the semantic type Experimental Model of Disease and found over 500 concepts missed by the previous methodology that are in need of this semantic type assignment. Furthermore, other semantic types suffering from the same major problem were discovered, indicating that the methodology is of more general applicability. The algorithmic discovery of concepts that are likely missing a semantic type assignment is possible even in the face of obstacles, without an explosion in the number of processed concepts. Copyright © 2011 Elsevier Inc. All rights reserved.

  14. The Gospel of Foreign Aid: A Theoretical Note | Byusa | Rwanda ...

    African Journals Online (AJOL)

    ... invented to overcome the problem of the poor. This requires a research strategy that develops theoretical/analytical frameworks that capture the complexity of Western and current Chinese generosity, namely the underlying motivation, rational and objectives. Drawing on the vast literature on foreign aid, the essay explains ...

  15. Mid-Atlantic Wind - Overcoming the Challenges

    Energy Technology Data Exchange (ETDEWEB)

    Daniel F. Ancona III; Kathryn E. George; Lynn Sparling; Bruce C. Buckheit; Daniel LoBue; and Richard P. Bowers

    2012-06-29

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  16. Mid-Atlantic Wind - Overcoming the Challenges

    Energy Technology Data Exchange (ETDEWEB)

    Daniel F. Ancona III; Kathryn E. George; Richard P. Bowers; Dr. Lynn Sparling; Bruce Buckheit; Daniel LoBue

    2012-05-31

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  17. Network Society

    DEFF Research Database (Denmark)

    Clausen, Lars; Tække, Jesper

    2018-01-01

    the five strands of theory on the network society. Each theoretical position has its specific implications for acting toward strategic goals. In its entirety, the five perspectives give a thorough understanding of the conditions for successful strategic communication in the 21st century....

  18. Network Society

    DEFF Research Database (Denmark)

    Clausen, Lars; Tække, Jesper

    2017-01-01

    the five strands of theory on the network society. Each theoretical position has its specific implications for acting toward strategic goals. In its entirety, the five perspectives give a thorough understanding of the conditions for successful strategic communication in the 21st century....

  19. Prioritising the implementation of practices to overcome operational barriers in reverse logistics

    Directory of Open Access Journals (Sweden)

    Amanda Badenhorst

    2016-01-01

    Full Text Available Background: Reverse logistics is a complex process, and many organisations experience operational barriers that prevent them from successfully managing the process. This study overcomes the gap in research regarding the most important practices that organisations can implement to overcome operational barriers in reverse logistics.Objectives: The study aims to identify operational barriers preventing the efficient performance of the reverse logistics process, matching them to applicable practices by means of a theoretical framework and prioritising the implementation of appropriate practices with the inputs of practitioners.Method: The study used a survey method, and data were collected by means of a questionnaire based on a theoretical framework that was sent to organisations that offered reverse logistics as a service or specialised in reverse logistics in South Africa. The study used descriptive statistics to conduct a gap-and-opportunity analysis.Results: Respondents were asked to indicate the importance of the practices and how difficult they would be to implement. Results showed that all the practices are important to at least a moderate extent but some are more difficult to implement.Conclusion: The framework developed in this article will enable organisations to identify the operational barriers they experience in reverse logistics and the practices they can implement on a priority basis to overcome these barriers.

  20. OVERCOMING THE ANTINOMIES OF HUMAN EXISTENCE: ONTOLOGY OF TRICKSTER

    Directory of Open Access Journals (Sweden)

    T. V. Danylova

    2014-12-01

    Full Text Available Purpose. This paper aims to study the ontological status of a trickster character in “Panchatantra” and its receptions. Methodology. The author has used analytical methodology of C. Levi-Strauss, C. Jung’s theory of archetypes, and hermeneutical methodology. Theoretical basis and results. Perception of the world in the form of a narrative is inherent in the very specifics of the human thinking. Among the most famous literary narratives that structured cultural experience of different nations are the framed story “Panchatantra” and its receptions “Kalilah and Dimnah” and “Stefanit and Ihnilat”. The framework of the analyzed text is the story about two jackals Karataka and Damanaka, Lion, and Bull. “Panchatantra” is deeply rooted in the animal epos, which is based on the totemic myth. Myths were created by primitive thinking that sought to systematize the world, to give it order through binary oppositions. Their hard core is “Life – Death” opposition. A myth deals with oppositions and seeks to neutralize them. Thus, a myth serves as the logical tool to overcome the fundamental contradictions. This is carried out by introducing a mediator. Two poles, two extreme points are unambiguous; ambiguity “occurs” at an intermediate stage only. Shift from one point to another is impossible directly – for this we need a mediator. In the given narrative the binary opposition “Life – Death” is replaced by its metaphor – Bull and Lion, herbivore (metaphor for life and carnivore (metaphor for death. These oppositions are mediated by Jackal (Karataka&Damanaka that feeds on carrion and has a dual nature. A mediator, which overcomes or at least mitigates the binary opposition, is seen as a compromise between herbivores and carnivores that embody the antinomy of life and death. This mediator is a trickster – bipolar character (good and evil at the same time. A trickster freely acts in unordered world of Chaos without Life

  1. Managing Knowledge Networks.

    Science.gov (United States)

    Contractor, Noshir S.; Monge, Peter R.

    2002-01-01

    Describes a multitheoretical, multilevel (MTML) model to study the management of knowledge networks. Considers theoretical mechanisms for emergence of knowledge networks and presents empirical findings about the emergence of knowledge networks. Concludes that it is necessary to utilize MTML models to integrate multiple social and communication…

  2. Networks and Economic Behavior

    OpenAIRE

    Jackson, Matthew O.

    2009-01-01

    Recent analyses of social networks, both empirical and theoretical, are discussed, with a focus on how social networks influence economic behavior, as well as how social networks form. Some challenges of such research are discussed as are some of the important considerations for the future.

  3. Theoretical nuclear physics

    CERN Document Server

    Blatt, John M

    1979-01-01

    A classic work by two leading physicists and scientific educators endures as an uncommonly clear and cogent investigation and correlation of key aspects of theoretical nuclear physics. It is probably the most widely adopted book on the subject. The authors approach the subject as ""the theoretical concepts, methods, and considerations which have been devised in order to interpret the experimental material and to advance our ability to predict and control nuclear phenomena.""The present volume does not pretend to cover all aspects of theoretical nuclear physics. Its coverage is restricted to

  4. Fear of Public Speaking: How Can I Overcome It?

    Science.gov (United States)

    ... I overcome it? How can I overcome my fear of public speaking? Answers from Craig N. Sawchuk, Ph.D., L.P. Fear of public speaking is a common form of ... It can range from slight nervousness to paralyzing fear and panic. Many people with this fear avoid ...

  5. Theoretical physics and astrophysics

    CERN Document Server

    Ginzburg, Vitalii Lazarevich

    1979-01-01

    The aim of this book is to present, on the one hand various topics in theoretical physics in depth - especially topics related to electrodynamics - and on the other hand to show how these topics find applications in various aspects of astrophysics. The first text on theoretical physics and astrophysical applications, it covers many recent advances including those in X-ray, &ggr;-ray and radio-astronomy, with comprehensive coverage of the literature

  6. Interference Mitigation Framework for Cellular Mobile Radio Networks

    Directory of Open Access Journals (Sweden)

    Wolfgang Mennerich

    2013-01-01

    Full Text Available For today's cellular mobile communication networks, the needed capacity is hard to realize without much more of (expensive bandwidth. Thus new standards like LTE were developed. LTE advanced is in discussion as the successor of LTE and cooperative multipoint transmission (CoMP is one of the hot topics to increase the system's capacity. System simulations often show only weak gains of the signal-to-interference ratio due to high interference from noncooperating cells in the downlink. This paper presents an interference mitigation framework to overcome the hardest issue, that is, the low penetration rate of mobile stations that can be served from a cluster composed of their strongest cells in the network. The results obtained from simulation tools are discussed with values resulting from testbed on the TU Dresden. They show that the theoretical ideas can be transferred into gains on real systems.

  7. Formation of multiple networks

    DEFF Research Database (Denmark)

    Magnani, Matteo; Rossi, Luca

    2013-01-01

    While most research in Social Network Analysis has focused on single networks, the availability of complex on-line data about individuals and their mutual heterogenous connections has recently determined a renewed interest in multi-layer network analysis. To the best of our knowledge, in this paper...... we introduce the first network formation model for multiple networks. Network formation models are among the most popular tools in traditional network studies, because of both their practical and theoretical impact. However, existing models are not sufficient to describe the generation of multiple...... networks. Our model, motivated by an empirical analysis of real multi-layered network data, is a conservative extension of single-network models and emphasizes the additional level of complexity that we experience when we move from a single- to a more complete and realistic multi-network context....

  8. Theoretical and Policy Implications of Case Study Findings About Federal Efforts to Improve Public Schools

    Science.gov (United States)

    Gross, Neal

    1977-01-01

    Impediments to educational change were identified in six case studies of major innovative efforts in school systems. Their theoretical and policy implications are examined. The findings suggest the need for a reformulation of the theoretical scheme most frequently used to account for the fate of organizational innovations: overcoming resistance to…

  9. Theoretical microbial ecology without species

    Science.gov (United States)

    Tikhonov, Mikhail

    2017-09-01

    Ecosystems are commonly conceptualized as networks of interacting species. However, partitioning natural diversity of organisms into discrete units is notoriously problematic and mounting experimental evidence raises the intriguing question whether this perspective is appropriate for the microbial world. Here an alternative formalism is proposed that does not require postulating the existence of species as fundamental ecological variables and provides a naturally hierarchical description of community dynamics. This formalism allows approaching the species problem from the opposite direction. While the classical models treat a world of imperfectly clustered organism types as a perturbation around well-clustered species, the presented approach allows gradually adding structure to a fully disordered background. The relevance of this theoretical construct for describing highly diverse natural ecosystems is discussed.

  10. SUCCESSFUL ACTIONS TO OVERCOME EXCLUSION THROUGH COMMUNITY INVOLVEMENT. THE TRANSFORMATION OF THE GHETTO

    Directory of Open Access Journals (Sweden)

    Antonio Muñoz-Amador

    2013-06-01

    Full Text Available In a neighborhood of Albacete with strong indicators of exclusion, is currently undertaking a transformation in all social areas. Becoming in Europe as a reference model to overcome the ghetto. This process has been mainly due two key aspects which will deepen the article. First, the introduction of successful actions based on scientific evidences to overcome social inequality and the transformation of the ghetto. Second, the inclusion of all the voices in the design of policies that will be implemented, in order that the target groups take active part in the decision making process. In this process of reflection and decision which has brought together a wide range of people, highlights the role of social workers and the nodal point of an intense network of interactions that connects the real needs of the population with the resources and existing services. That will be done in an individual level as well as in a communitarian level through consensus.

  11. Security analysis of quantum key distribution on passive optical networks.

    Science.gov (United States)

    Lim, Kyongchun; Ko, Heasin; Suh, Changho; Rhee, June-Koo Kevin

    2017-05-15

    Needs for providing security to end users have brought installation of quantum key distribution (QKD) in one-to-many access networks such as passive optical networks. In the networks, a presence of optical power splitters makes issues for secure key rate more important. However, researches for QKD in access networks have mainly focused on implementation issues rather than protocol development for key rate enhancement. Since secure key rate is theoretically limited by a protocol, researches without protocol development cannot overcome the limit of secure key rate given by a protocol. This brings need of researches for protocol development. In this paper, we provide a new approach which provides secure key rate enhancement over the conventional protocol. Specifically, we propose the secure key rate formula in a passive optical network by extending the secure key rate formula based on the decoy-state BB84 protocol. For a passive optical network, we provide a way that incorporates cooperation across end users. Then, we show that the way can mitigate a photon number splitting (PNS) attack which is crucial in an well known decoy BB84 protocol. Especially, the proposed scheme enables multi-photon states to serve as secure keys unlike the conventional decoy BB84 protocol. Numerical simulations demonstrate that our proposed scheme outperforms the decoy BB84 protocol in secure key rate.

  12. Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks

    Science.gov (United States)

    Daminelli, Simone; Thomas, Josephine Maria; Durán, Claudio; Vittorio Cannistraci, Carlo

    2015-11-01

    Bipartite networks are powerful descriptions of complex systems characterized by two different classes of nodes and connections allowed only across but not within the two classes. Unveiling physical principles, building theories and suggesting physical models to predict bipartite links such as product-consumer connections in recommendation systems or drug-target interactions in molecular networks can provide priceless information to improve e-commerce or to accelerate pharmaceutical research. The prediction of nonobserved connections starting from those already present in the topology of a network is known as the link-prediction problem. It represents an important subject both in many-body interaction theory in physics and in new algorithms for applied tools in computer science. The rationale is that the existing connectivity structure of a network can suggest where new connections can appear with higher likelihood in an evolving network, or where nonobserved connections are missing in a partially known network. Surprisingly, current complex network theory presents a theoretical bottle-neck: a general framework for local-based link prediction directly in the bipartite domain is missing. Here, we overcome this theoretical obstacle and present a formal definition of common neighbour index and local-community-paradigm (LCP) for bipartite networks. As a consequence, we are able to introduce the first node-neighbourhood-based and LCP-based models for topological link prediction that utilize the bipartite domain. We performed link prediction evaluations in several networks of different size and of disparate origin, including technological, social and biological systems. Our models significantly improve topological prediction in many bipartite networks because they exploit local physical driving-forces that participate in the formation and organization of many real-world bipartite networks. Furthermore, we present a local-based formalism that allows to intuitively

  13. Network coding at different layers in wireless networks

    CERN Document Server

    2016-01-01

    This book focuses on how to apply network coding at different layers in wireless networks – including MAC, routing, and TCP – with special focus on cognitive radio networks. It discusses how to select parameters in network coding (e.g., coding field, number of packets involved, and redundant information ration) in order to be suitable for the varying wireless environments. The book explores how to deploy network coding in MAC to improve network performance and examines joint network coding with opportunistic routing to improve the successful rate of routing. In regards to TCP and network coding, the text considers transport layer protocol working with network coding to overcome the transmission error rate, particularly with how to use the ACK feedback of TCP to enhance the efficiency of network coding. The book pertains to researchers and postgraduate students, especially whose interests are in opportunistic routing and TCP in cognitive radio networks.

  14. Trimming of mammalian transcriptional networks using network component analysis

    Directory of Open Access Journals (Sweden)

    Liao James C

    2010-10-01

    Full Text Available Abstract Background Network Component Analysis (NCA has been used to deduce the activities of transcription factors (TFs from gene expression data and the TF-gene binding relationship. However, the TF-gene interaction varies in different environmental conditions and tissues, but such information is rarely available and cannot be predicted simply by motif analysis. Thus, it is beneficial to identify key TF-gene interactions under the experimental condition based on transcriptome data. Such information would be useful in identifying key regulatory pathways and gene markers of TFs in further studies. Results We developed an algorithm to trim network connectivity such that the important regulatory interactions between the TFs and the genes were retained and the regulatory signals were deduced. Theoretical studies demonstrated that the regulatory signals were accurately reconstructed even in the case where only three independent transcriptome datasets were available. At least 80% of the main target genes were correctly predicted in the extreme condition of high noise level and small number of datasets. Our algorithm was tested with transcriptome data taken from mice under rapamycin treatment. The initial network topology from the literature contains 70 TFs, 778 genes, and 1423 edges between the TFs and genes. Our method retained 1074 edges (i.e. 75% of the original edge number and identified 17 TFs as being significantly perturbed under the experimental condition. Twelve of these TFs are involved in MAPK signaling or myeloid leukemia pathways defined in the KEGG database, or are known to physically interact with each other. Additionally, four of these TFs, which are Hif1a, Cebpb, Nfkb1, and Atf1, are known targets of rapamycin. Furthermore, the trimmed network was able to predict Eno1 as an important target of Hif1a; this key interaction could not be detected without trimming the regulatory network. Conclusions The advantage of our new algorithm

  15. Overcoming heat shock protein inhibition at critical temperature vital ...

    African Journals Online (AJOL)

    Overcoming heat shock protein inhibition at critical temperature vital for survival in Solanum tuberosum L. in vivo condition. Bengyella Louis, Pranab Roy, Tamgue Ousman, Sayanika Waikhom Devi, Narayan Chandra Talukdar ...

  16. Overcoming Obstacles to Institutionalization of Experiential Learning Programs.

    Science.gov (United States)

    Rubin, Sharon G.

    1983-01-01

    Full institutionalization of experiential learning programs remains a major challenge for educators. Their reasons for resistance to change and strategies for overcoming it are discussed. A checklist for change agents is provided. (MLW)

  17. Overcoming Residents Opportunity Apathy in Danish Social Housing Democracy

    DEFF Research Database (Denmark)

    Bertelsen, Olav W.

    2014-01-01

    In this paper, I discuss how various technologies can support democratic collaboration in the social housing sector in Denmark, and help overcome opportunity apathy. I exemplify the discussion with an ongoing process of strategy development, in a Danish housing organization....

  18. Balancing act: Government roles in an energy conservation network

    NARCIS (Netherlands)

    Peterman, A.; Kourula, A.; Levitt, R.

    2014-01-01

    Government-led interorganizational alliance networks present a sensible opportunity to overcome many societal challenges through collaborative governance. In particular, few researchers have studied alliance networks in the field of energy conservation in commercial buildings—a sector with unique

  19. Riemann and Theoretical Physics

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education; Volume 11; Issue 11. Riemann and Theoretical Physics. Joseph Samuel. General Article Volume 11 Issue 11 November 2006 pp 56-60. Fulltext. Click here to view fulltext PDF. Permanent link: http://www.ias.ac.in/article/fulltext/reso/011/11/0056-0060. Keywords.

  20. A Linguistic Theoretical Exercise

    African Journals Online (AJOL)

    Nekky Umera

    communication with other people in the environment which they find themselves. This paper aims at carrying out linguistic theoretical exercise as regards the use of the English primary auxiliary verbs. The paper also aims at exposing the rate at which speakers of English Language misuse the. English primary auxiliary ...

  1. Social Assistance: Theoretical Underpinnings

    African Journals Online (AJOL)

    user

    Minas Hiruy. 90. Reflections: Social assistance: theoretical underpinnings. Minas Hiruy. 1. Key words: marginalized community, social assistance, social welfare, MDGs, development. The case of the marginalized and how society regarded or responded to the same has played a significant part in shaping human history ...

  2. Department of Theoretical Physics

    Energy Technology Data Exchange (ETDEWEB)

    Kwiecinski, J. [Institute of Nuclear Physics, Cracow (Poland)

    1994-12-31

    The research done at the Department of Theoretical Physics of the Niewodniczanski Institute of Nuclear Physics in 1993 is presented. The research program includes: - the role of Galilean relativity principle in quantum mechanics, dense and/or hot hadronic matter and the structure of hadrons studied in particle and nuclear interactions.

  3. Department of Theoretical Physics

    Energy Technology Data Exchange (ETDEWEB)

    Kwiecinski, J. [Institute of Nuclear Physics, Cracow (Poland)

    1992-12-31

    The research done at the Department of Theoretical Physics of the Niewodniczanski Institute of Nuclear Physics in 1991 are presented. The research program includes: the role of Galilean relativity principle in quantum mechanics, dense and/or hot hadronic matter and the structure of hadrons studied in particle and nuclear interactions.

  4. Theoretical Aspects of Translation.

    Science.gov (United States)

    House, Juliane M.

    This study attempts to bring some clarification into the concept of translation, especially into the theoretical problems presented by the difficulties of translation. The following aspects of the question are treated: (1) translation in the past and present, including the controversy over translation as an art or a science, the relevance of…

  5. Complex networks an algorithmic perspective

    CERN Document Server

    Erciyes, Kayhan

    2014-01-01

    Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the study of complex networks is to understand the collective behavior of the various elements of these networks.Although the results from graph theory have proven to be powerful in investigating the structures of complex networks, few books focus on the algorithmic aspects of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph theoretic knowledge needed by every r

  6. Noncommutative Biology: Sequential Regulation of Complex Networks.

    Directory of Open Access Journals (Sweden)

    William Letsou

    2016-08-01

    Full Text Available Single-cell variability in gene expression is important for generating distinct cell types, but it is unclear how cells use the same set of regulatory molecules to specifically control similarly regulated genes. While combinatorial binding of transcription factors at promoters has been proposed as a solution for cell-type specific gene expression, we found that such models resulted in substantial information bottlenecks. We sought to understand the consequences of adopting sequential logic wherein the time-ordering of factors informs the final outcome. We showed that with noncommutative control, it is possible to independently control targets that would otherwise be activated simultaneously using combinatorial logic. Consequently, sequential logic overcomes the information bottleneck inherent in complex networks. We derived scaling laws for two noncommutative models of regulation, motivated by phosphorylation/neural networks and chromosome folding, respectively, and showed that they scale super-exponentially in the number of regulators. We also showed that specificity in control is robust to the loss of a regulator. Lastly, we connected these theoretical results to real biological networks that demonstrate specificity in the context of promiscuity. These results show that achieving a desired outcome often necessitates roundabout steps.

  7. Cognitive wireless networks

    CERN Document Server

    Feng, Zhiyong; Zhang, Ping

    2015-01-01

    This brief examines the current research in cognitive wireless networks (CWNs). Along with a review of challenges in CWNs, this brief presents novel theoretical studies and architecture models for CWNs, advances in the cognitive information awareness and delivery, and intelligent resource management technologies. The brief presents the motivations and concepts of CWNs, including theoretical studies of temporal and geographic distribution entropy as well as cognitive information metrics. A new architecture model of CWNs is proposed with theoretical, functional and deployment architectures suppo

  8. Theoretical atomic physics

    CERN Document Server

    Friedrich, Harald

    2017-01-01

    This expanded and updated well-established textbook contains an advanced presentation of quantum mechanics adapted to the requirements of modern atomic physics. It includes topics of current interest such as semiclassical theory, chaos, atom optics and Bose-Einstein condensation in atomic gases. In order to facilitate the consolidation of the material covered, various problems are included, together with complete solutions. The emphasis on theory enables the reader to appreciate the fundamental assumptions underlying standard theoretical constructs and to embark on independent research projects. The fourth edition of Theoretical Atomic Physics contains an updated treatment of the sections involving scattering theory and near-threshold phenomena manifest in the behaviour of cold atoms (and molecules). Special attention is given to the quantization of weakly bound states just below the continuum threshold and to low-energy scattering and quantum reflection just above. Particular emphasis is laid on the fundamen...

  9. Network Survivability

    DEFF Research Database (Denmark)

    Marzo, José L.; Stidsen, Thomas Riis; Ruepp, Sarah Renée

    2010-01-01

    – are vital to modern services such as mobile telephony, online banking and VoIP. This book examines communication networking from a mathematical viewpoint. The contributing authors took part in the European COST action 293 – a four-year program of multidisciplinary research on this subject. In this book...... they offer introductory overviews and state-of-the-art assessments of current and future research in the fields of broadband, optical, wireless and ad hoc networks. Particular topics of interest are design, optimization, robustness and energy consumption. The book will be of interest to graduate students......, researchers and practitioners in the areas of networking, theoretical computer science, operations research, distributed computing and mathematics....

  10. Maternal filicide theoretical framework.

    Science.gov (United States)

    Mugavin, Marie

    2008-01-01

    The maternal filicide theoretical framework (MFTF) was developed to enrich the understanding of how traumatic experiences during formative years can affect a woman's relationship with her own child. Exposure to a known set of vulnerabilities can foster triggers that predispose a woman to respond impulsively and violently toward her child. Comprehensive assessment of vulnerable families is essential for the prevention of fatal and nonfatal abuse. The MFTF may be applied to both crimes.

  11. Silicene: Recent theoretical advances

    KAUST Repository

    Lew Yan Voon, L. C.

    2016-04-14

    Silicene is a two-dimensional allotrope of silicon with a puckered hexagonal structure closely related to the structure of graphene and that has been predicted to be stable. To date, it has been successfully grown in solution (functionalized) and on substrates. The goal of this review is to provide a summary of recent theoretical advances in the properties of both free-standing silicene as well as in interaction with molecules and substrates, and of proposed device applications.

  12. Robustness - theoretical framework

    DEFF Research Database (Denmark)

    Sørensen, John Dalsgaard; Rizzuto, Enrico; Faber, Michael H.

    2010-01-01

    More frequent use of advanced types of structures with limited redundancy and serious consequences in case of failure combined with increased requirements to efficiency in design and execution followed by increased risk of human errors has made the need of requirements to robustness of new struct...... of this fact sheet is to describe a theoretical and risk based framework to form the basis for quantification of robustness and for pre-normative guidelines....

  13. Electrochemical kinetics theoretical aspects

    CERN Document Server

    Vetter, Klaus J

    1967-01-01

    Electrochemical Kinetics: Theoretical Aspects focuses on the processes, methodologies, reactions, and transformations in electrochemical kinetics. The book first offers information on electrochemical thermodynamics and the theory of overvoltage. Topics include equilibrium potentials, concepts and definitions, electrical double layer and electrocapillarity, and charge-transfer, diffusion, and reaction overvoltage. Crystallization overvoltage, total overvoltage, and resistance polarization are also discussed. The text then examines the methods of determining electrochemical reaction mechanisms

  14. Theoretical Developments in SUSY

    Science.gov (United States)

    Shifman, M.

    2009-01-01

    I am proud that I was personally acquainted with Julius Wess. We first met in 1999 when I was working on the Yuri Golfand Memorial Volume (The Many Faces of the Superworld, World Scientific, Singapore, 2000). I invited him to contribute, and he accepted this invitation with enthusiasm. After that, we met many times, mostly at various conferences in Germany and elsewhere. I was lucky to discuss with Julius questions of theoretical physics, and hear his recollections on how supersymmetry was born. In physics Julius was a visionary, who paved the way to generations of followers. In everyday life he was a kind and modest person, always ready to extend a helping hand to people who were in need of his help. I remember him telling me how concerned he was about the fate of theoretical physicists in Eastern Europe after the demise of communism. His ties with Israeli physicists bore a special character. I am honored by the opportunity to contribute an article to the Julius Wess Memorial Volume. I will review theoretical developments of the recent years in non-perturbative supersymmetry.

  15. Theoretical developments in SUSY

    Energy Technology Data Exchange (ETDEWEB)

    Shifman, M. [University of Minnesota, William I. Fine Theoretical Physics Institute, Minneapolis, MN (United States)

    2009-01-15

    I am proud that I was personally acquainted with Julius Wess. We first met in 1999 when I was working on the Yuri Golfand Memorial Volume (The Many Faces of the Superworld, World Scientific, Singapore, 2000). I invited him to contribute, and he accepted this invitation with enthusiasm. After that, we met many times, mostly at various conferences in Germany and elsewhere. I was lucky to discuss with Julius questions of theoretical physics, and hear his recollections on how supersymmetry was born. In physics Julius was a visionary, who paved the way to generations of followers. In everyday life he was a kind and modest person, always ready to extend a helping hand to people who were in need of his help. I remember him telling me how concerned he was about the fate of theoretical physicists in Eastern Europe after the demise of communism. His ties with Israeli physicists bore a special character. I am honored by the opportunity to contribute an article to the Julius Wess Memorial Volume. I review theoretical developments of the recent years in non-perturbative supersymmetry. (orig.)

  16. Network Formation under the Threat of Disruption

    NARCIS (Netherlands)

    Hoyer, B.|info:eu-repo/dai/nl/32205446X

    2013-01-01

    The studies in this thesis are focused on the impact the presence of a network disruptor has on network formation models. In particular, we build two theoretical models to study the effect of network disruption on network formation and test the effect network disruption has on equilibrium selection

  17. Discovering Network Structure Beyond Communities

    OpenAIRE

    Nishikawa, Takashi; Motter, Adilson E.

    2011-01-01

    To understand the formation, evolution, and function of complex systems, it is crucial to understand the internal organization of their interaction networks. Partly due to the impossibility of visualizing large complex networks, resolving network structure remains a challenging problem. Here we overcome this difficulty by combining the visual pattern recognition ability of humans with the high processing speed of computers to develop an exploratory method for discovering groups of nodes chara...

  18. Information Theory of Networks

    Directory of Open Access Journals (Sweden)

    Matthias Dehmer

    2011-11-01

    Full Text Available The paper puts the emphasis on surveying information-theoretic network measures for analyzing the structure of networks. In order to apply the quantities interdisciplinarily, we also discuss some of their properties such as their structural interpretation and uniqueness.

  19. Bio-inspired networking

    CERN Document Server

    Câmara, Daniel

    2015-01-01

    Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks. Future networks are expected to be autonomous, scalable and adaptive. During millions of years of evolution, nature has developed a number of different systems that present these and other characteristics required for the next generation networks. Indeed, a series of bio-inspired methods have been successfully used to solve the most diverse problems linked to computer networks. This book presents some of these techniques from a theoretical and practical point of view. Discusses the key concepts of bio-inspired networking to aid you in finding efficient networking solutions Delivers examples of techniques both in theoretical concepts and practical applications Helps you apply nature's dynamic resource and task management to your co...

  20. Network structure of production

    Science.gov (United States)

    Atalay, Enghin; Hortaçsu, Ali; Roberts, James; Syverson, Chad

    2011-01-01

    Complex social networks have received increasing attention from researchers. Recent work has focused on mechanisms that produce scale-free networks. We theoretically and empirically characterize the buyer–supplier network of the US economy and find that purely scale-free models have trouble matching key attributes of the network. We construct an alternative model that incorporates realistic features of firms’ buyer–supplier relationships and estimate the model’s parameters using microdata on firms’ self-reported customers. This alternative framework is better able to match the attributes of the actual economic network and aids in further understanding several important economic phenomena. PMID:21402924

  1. Distinction and Connection between Contact Network, Social Network, and Disease Transmission Network

    OpenAIRE

    Chen, Shi; Lanzas, Cristina

    2016-01-01

    In this paper we discuss the distinction and connection between three closely related networks in animal ecology and epidemiology studies: the contact, social, and disease transmission networks. We provide a robust theoretical definition and interpretation of these three networks, demonstrate that social and disease transmission networks can be derived as spanning subgraphs of contact network, and show examples based on real-world high-resolution cattle contact structure data. Furthermore, we...

  2. Overcoming Obstacles: Opportunities of academically talented women in Iran

    Directory of Open Access Journals (Sweden)

    Shahla Alborzi, Ph.D

    2008-03-01

    Full Text Available The aim of the present research was to study the lifetime obstacles and opportunities of academically successful women working at Iran universities. Successful female academics in Iran are concerned about the social and personal barriers to pursuing successful careers in academia. These women continually work to overcome these barriers in an ongoing process called overcoming obstacles. This basic social process has five stages: perceiving inequality, conflicting, dissolving, empowering and acting purposefully. Throughout the process, these women have first become aware of gender inequities and then worked towards overcoming them using self-motivation properties and support from external sources such as family, mentors and colleagues. This substantive theory, though rooted in a specific country with a strong male dominated social structure, is applicable to all societies as they continue to work towards equitable access to high-level career opportunities.

  3. Theoretical solid state physics

    CERN Document Server

    Haug, Albert

    2013-01-01

    Theoretical Solid State Physics, Volume 1 focuses on the study of solid state physics. The volume first takes a look at the basic concepts and structures of solid state physics, including potential energies of solids, concept and classification of solids, and crystal structure. The book then explains single-electron approximation wherein the methods for calculating energy bands; electron in the field of crystal atoms; laws of motion of the electrons in solids; and electron statistics are discussed. The text describes general forms of solutions and relationships, including collective electron i

  4. Information theoretic preattentive saliency

    DEFF Research Database (Denmark)

    Loog, Marco

    2011-01-01

    Employing an information theoretic operational definition of bottom-up attention from the field of computational visual perception a very general expression for saliency is provided. As opposed to many of the current approaches to determining a saliency map there is no need for an explicit data...... of which features, image information is described. We illustrate our result by determining a few specific saliency maps based on particular choices of features. One of them makes the link with the mapping underlying well-known Harris interest points, which is a result recently obtained in isolation...

  5. Institute for Theoretical Physics

    Energy Technology Data Exchange (ETDEWEB)

    Giddings, S.B.; Ooguri, H.; Peet, A.W.; Schwarz, J.H.

    1998-06-01

    String theory is the only serious candidate for a unified description of all known fundamental particles and interactions, including gravity, in a single theoretical framework. Over the past two years, activity in this subject has grown rapidly, thanks to dramatic advances in understanding the dynamics of supersymmetric field theories and string theories. The cornerstone of these new developments is the discovery of duality which relates apparently different string theories and transforms difficult strongly coupled problems of one theory into weakly coupled problems of another theory.

  6. Theoretical Optics An Introduction

    CERN Document Server

    Römer, Hartmann

    2004-01-01

    Starting from basic electrodynamics, this volume provides a solid, yet concise introduction to theoretical optics, containing topics such as nonlinear optics, light-matter interaction, and modern topics in quantum optics, including entanglement, cryptography, and quantum computation. The author, with many years of experience in teaching and research, goes way beyond the scope of traditional lectures, enabling readers to keep up with the current state of knowledge. Both content and presentation make it essential reading for graduate and phD students as well as a valuable reference for researche

  7. Theoretical astrophysics an introduction

    CERN Document Server

    Bartelmann, Matthias

    2013-01-01

    A concise yet comprehensive introduction to the central theoretical concepts of modern astrophysics, presenting hydrodynamics, radiation, and stellar dynamics all in one textbook. Adopting a modular structure, the author illustrates a small number of fundamental physical methods and principles, which are sufficient to describe and understand a wide range of seemingly very diverse astrophysical phenomena and processes. For example, the formulae that define the macroscopic behavior of stellar systems are all derived in the same way from the microscopic distribution function. This function it

  8. Evolution of Social networks

    OpenAIRE

    Hellmann, Tim; Staudigl, Mathias

    2014-01-01

    Modeling the evolution of networks is central to our understanding of modern large communication systems, such as theWorld-Wide-Web, as well as economic and social networks. The research on social and economic networks is truly interdisciplinary and the number of modeling strategies and concepts is enormous. In this survey we present some modeling approaches, covering classical random graph models and game-theoretic models, which may be used to provide a unified framework to model an...

  9. Modeling semiflexible polymer networks

    OpenAIRE

    Broedersz, Chase P.; MacKintosh, Fred C.

    2014-01-01

    Here, we provide an overview of theoretical approaches to semiflexible polymers and their networks. Such semiflexible polymers have large bending rigidities that can compete with the entropic tendency of a chain to crumple up into a random coil. Many studies on semiflexible polymers and their assemblies have been motivated by their importance in biology. Indeed, crosslinked networks of semiflexible polymers form a major structural component of tissue and living cells. Reconstituted networks o...

  10. Stochastic Pooling Networks

    OpenAIRE

    McDonnell, Mark D; Amblard, Pierre-Olivier; Stocks, Nigel G.

    2009-01-01

    We introduce and define the concept of a stochastic pooling network (SPN), as a model for sensor systems where redundancy and two forms of 'noise' -- lossy compression and randomness -- interact in surprising ways. Our approach to analyzing SPNs is information theoretic. We define an SPN as a network with multiple nodes that each produce noisy and compressed measurements of the same information. An SPN must combine all these measurements into a single further compressed network output, in a w...

  11. The facilitation by church leaders in overcoming resistance to change.

    OpenAIRE

    2008-01-01

    Little has been done to address the issue of how to overcome resistance to change in a change effort in the church world. “How to overcome resistance to change?” is a question that requires serious consideration among church leaders. Church leaders continue to act in ways that produce resistance to change and ultimately failed change efforts. These actions on the part of church leaders often strengthen and reinforce the sources of resistance to change, making it very difficult for change to b...

  12. Rethinking Theoretical Approaches to Stigma

    Science.gov (United States)

    Martin, Jack K; Lang, Annie; Olafsdottir, Sigrun

    2008-01-01

    A resurgence of research and policy efforts on stigma both facilitates and forces a reconsideration of the levels and types of factors that shape reactions to persons with conditions that engender prejudice and discrimination. Focusing on the case of mental illness but drawing from theories and studies of stigma across the social sciences, we propose a framework that brings together theoretical insights from micro, meso and macro level research: Framework Integrating Normative Influences on Stigma (FINIS) starts with Goffman’s notion that understanding stigma requires a language of social relationships, but acknowledges that individuals do not come to social interaction devoid of affect and motivation. Further, all social interactions take place in a context in which organizations, media and larger cultures structure normative expectations which create the possibility of marking “difference”. Labelling theory, social network theory, the limited capacity model of media influence, the social psychology of prejudice and discrimination, and theories of the welfare state all contribute to an understanding of the complex web of expectations shaping stigma. FINIS offers the potential to build a broad-based scientific foundation based on understanding the effects of stigma on the lives of persons with mental illness, the resources devoted to the organizations and families who care for them, and policies and programs designed to combat stigma. We end by discussing the clear implications this framework holds for stigma reduction, even in the face of conflicting results. PMID:18436358

  13. Valuation theoretic and model theoretic aspects of local uniformization

    OpenAIRE

    Kuhlmann, Franz-Viktor

    2010-01-01

    This paper gives a survey on a valuation theoretical approach to local uniformization in positive characteristic, the model theory of valued fields in positive characteristic, and their connection with the valuation theoretical phenomenon of defect.

  14. WDM networking on a European Scale

    DEFF Research Database (Denmark)

    Parnis, Noel; Limal, Emmanuel; Hjelme, Dag R.

    1998-01-01

    Four different topological approaches to designing a pan-European optical network are discussed. For such an ultra-high capacity large-scale network, it is necessary to overcome physical path length limitations and to limit Optical Cross-Connect (OXC) complexity.......Four different topological approaches to designing a pan-European optical network are discussed. For such an ultra-high capacity large-scale network, it is necessary to overcome physical path length limitations and to limit Optical Cross-Connect (OXC) complexity....

  15. Multilayer Social Networks

    DEFF Research Database (Denmark)

    Dickison, Mark; Magnani, Matteo; Rossi, Luca

    Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate...... social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various...... research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer...

  16. Multilayer Social Networks

    DEFF Research Database (Denmark)

    Dickison, Mark; Magnani, Matteo; Rossi, Luca

    social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various......Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate...... research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer...

  17. Overcoming Branding Barriers in Nonprofit, Private Colleges and Universities

    Science.gov (United States)

    Chyr, Fred

    2017-01-01

    Purpose: The purpose of this Delphi study was to explore the views of experts in the field of nonprofit private colleges and universities in the United States to define branding and identify current barriers to branding, to discover how those barriers can be overcome, and to determine what barriers to branding are likely to occur 5 years in the…

  18. Overcoming eHealth challenges with social and technical innovations

    International Development Research Centre (IDRC) Digital Library (Canada)

    2018-01-29

    Overcoming eHealth challenges with social and technical innovations. January 29, 2018. Mothers wait to vaccinate their babies. Photo: Dominic Chavez / World Bank. Developing countries are increasingly turning to mobile phones and other digital technologies to improve the health and well-being of their populations.

  19. Six world-class research teams to investigate overcoming ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2017-10-26

    Six world-class research teams to investigate overcoming therapeutic resistance in high fatality cancers. October 26, 2017. Together with our partners the Canadian Institutes of Health Research, the Azrieli Foundation and the Israel Science Foundation we are pleased to announce the recipients of the Joint Canada-Israel ...

  20. Addressing and overcoming barriers for energy savings in business

    DEFF Research Database (Denmark)

    Dirckinck-Holmfeld, Kasper

    of the local authorities, evaluating the specific concept applied, highlighting the specific barriers and constraints encountered during the project so far, as well as how the local authorities can help the companies overcome these. With this paper, the author intent to provide some inspiration for other local...

  1. Towards sustainability: Overcoming the physical barriers to urban ...

    African Journals Online (AJOL)

    Conserving green spaces (parks, gardens, forest) in the physical landscape of cities is an action that has been identified as contributing to the sustainability of cities. However, to be able to conserve such spaces, some barriers need to be overcome, and this has not received much attention. This paper therefore provides ...

  2. Overcoming the Socio Cultural Factors Contributing to Maternal

    African Journals Online (AJOL)

    AJRH Managing Editor

    REVIEW ARTICLE. Engendering the Attainment of the SDG-3 in Africa: Overcoming the Socio Cultural Factors Contributing to Maternal Mortality. Rosemary N. Ogu. 1,4 ... This review discusses sociocultural influences that contribute to the high rate of maternal mortality in ..... as sex trafficking, forced labour or compromised.

  3. Evaluation of different methods to overcome in vitro seed dormancy ...

    African Journals Online (AJOL)

    Seeds from yellow passion fruit (Passiflora edulis Sims) present dormancy imposed by the seed-coat. The present study aimed to evaluate some methods to overcome dormancy of seeds from P. edulis grown under in vitro conditions. The experimental design was completely randomized in factorial scheme (15 scarification ...

  4. Overcoming Barriers to Employment: Strategies of Rehabilitation Providers

    Science.gov (United States)

    Crudden, Adele; Sansing, William; Butler, Stacy

    2005-01-01

    Focus groups of rehabilitation providers identified barriers to the employment of persons who are visually impaired and strategies to overcome them. The barriers included negative attitudes of employers and of persons with visual impairments, inadequate transportation, the lack of access to print, and administrative issues. Strategies for…

  5. Six world-class research teams to investigate overcoming ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Six world-class research teams to investigate overcoming therapeutic resistance in high fatality cancers. 26 octobre 2017. Together with our partners the Canadian Institutes of Health Research, the Azrieli Foundation and the Israel Science Foundation we are pleased to announce the recipients of the Joint Canada-Israel ...

  6. A thematic analysis of how prisoners overcome suicidality.

    Science.gov (United States)

    Reading, Lucy; Bowen, Erica

    2014-01-01

    The purpose of this paper is to explore the perceptions, beliefs and abilities that support adult male prisoners in overcoming suicidality. Semi-structured interviews were conducted with eight male life sentenced prisoners in a Category B prison. Thematic analysis was used to analyse the data and interpret how prisoners have overcome suicidality. Findings - Five overarching themes were identified; sense of self, presence of meaning, connectedness, shift of perspective and re-establishing control. The themes were closely interconnected and revealed novel insights into the variables that supported prisoners to overcome suicidality. The themes were drawn from a specific prisoner population, which may not be representative of the wider prison population. Additionally, the sole focus on suicidality may be an oversimplification of self-destructive behaviours and could have affected the factors identified. The results highlight the need to refine suicide prevention strategies in prisons; in the assessment of suicide risk, the improvement of supportive regimes and the development of psychological interventions. This research is the first to qualitatively examine the factors involved in overcoming suicide in adult male prisoners. The research is of value to researchers and practitioners alike, as it extends previous research in prison populations and suggests avenues for the development of suicide prevention strategies.

  7. Midwives unable to overcome language barriers in prenatal care

    NARCIS (Netherlands)

    M.P. Fransen (Mirjam); H.I.J. Wildschut (Hajo); J.P. Mackenbach (Johan); E.A.P. Steegers (Eric); M.L.E. Essink-Bot (Marie-Louise)

    2012-01-01

    textabstractBackground: The present study aims to explore to what extent midwives experience barriers in providing information about prenatal screening for Down syndrome to women from diverse ethnic backgrounds, and to assess their competences to overcome these barriers. Methods: Midwives from 24

  8. Overcoming the physical barriers to urban green spaces in Kumasi

    African Journals Online (AJOL)

    Conserving green spaces (parks, gardens, forest) in the physical landscape of cities is an action that has been identified as contributing to the sustainability of cities. However, to be able to conserve such spaces, some barriers need to be overcome, and this has not received much attention. This paper therefore provides ...

  9. Overcoming Organizational Fixation: Creating and Sustaining an Innovation Culture

    Science.gov (United States)

    Stempfle, Joachim

    2011-01-01

    Fixation on established paradigms and practices can severely limit the capability of organizations to change, thereby jeopardizing the ability of organizations to keep up with changes in their environment and new technological developments. Overcoming organizational fixation is therefore a requirement for any organization that strives to achieve…

  10. Book Review Overcoming Body Image Disturbance: A Programme ...

    African Journals Online (AJOL)

    Book Review Overcoming Body Image Disturbance: A Programme for People with Eating Disorders By Lorraine Bell and Jenny Rushforth (2008). Carla Dukas. Abstract. Routledge, London Paperback, ISBN 978-0-415-42330-4, ZAR 393 160 pages40. Journal of Child and Adolescent Mental Health 2008, 20(2): 133–134.

  11. Theoretical physics 3 electrodynamics

    CERN Document Server

    Nolting, Wolfgang

    2016-01-01

    This textbook offers a clear and comprehensive introduction to electrodynamics, one of the core components of undergraduate physics courses. It follows on naturally from the previous volumes in this series. The first part of the book describes the interaction of electric charges and magnetic moments by introducing electro- and magnetostatics. The second part of the book establishes deeper understanding of electrodynamics with the Maxwell equations, quasistationary fields and electromagnetic fields. All sections are accompanied by a detailed introduction to the math needed. Ideally suited to undergraduate students with some grounding in classical and analytical mechanics, the book is enhanced throughout with learning features such as boxed inserts and chapter summaries, with key mathematical derivations highlighted to aid understanding. The text is supported by numerous worked examples and end of chapter problem sets. About the Theoretical Physics series Translated from the renowned and highly successful Germa...

  12. Theoretical physics 5 thermodynamics

    CERN Document Server

    Nolting, Wolfgang

    2017-01-01

    This concise textbook offers a clear and comprehensive introduction to thermodynamics, one of the core components of undergraduate physics courses. It follows on naturally from the previous volumes in this series, defining macroscopic variables, such as internal energy, entropy and pressure,together with thermodynamic principles. The first part of the book introduces the laws of thermodynamics and thermodynamic potentials. More complex themes are covered in the second part of the book, which describes phases and phase transitions in depth. Ideally suited to undergraduate students with some grounding in classical mechanics, the book is enhanced throughout with learning features such as boxed inserts and chapter summaries, with key mathematical derivations highlighted to aid understanding. The text is supported by numerous worked examples and end of chapter problem sets. About the Theoretical Physics series Translated from the renowned and highly successful German editions, the eight volumes of this series cove...

  13. Social Security: Theoretical Aspects

    Directory of Open Access Journals (Sweden)

    O. I. Kashnik

    2013-01-01

    Full Text Available The paper looks at the phenomena of security and social security from the philosophical, sociological and psychological perspective. The undertaken analysis of domestic and foreign scientific materials demonstrates the need for interdisciplinary studies, including pedagogy and education, aimed at developing the guidelines for protecting the social system from destruction. The paper defines the indicators, security level indices and their assessment methods singled out from the analytical reports and security studies by the leading Russian sociological centers and international expert organizations, including the United Nations.The research is aimed at finding out the adequate models of personal and social security control systems at various social levels. The theoretical concepts can be applied by the teachers of the Bases of Life Safety course, the managers and researches developing the assessment criteria and security indices of educational environment evaluation, as well as the methods of diagnostics and expertise of educational establishments from the security standpoint. 

  14. Theoretical Molecular Biophysics

    CERN Document Server

    Scherer, Philipp

    2010-01-01

    "Theoretical Molecular Biophysics" is an advanced study book for students, shortly before or after completing undergraduate studies, in physics, chemistry or biology. It provides the tools for an understanding of elementary processes in biology, such as photosynthesis on a molecular level. A basic knowledge in mechanics, electrostatics, quantum theory and statistical physics is desirable. The reader will be exposed to basic concepts in modern biophysics such as entropic forces, phase separation, potentials of mean force, proton and electron transfer, heterogeneous reactions coherent and incoherent energy transfer as well as molecular motors. Basic concepts such as phase transitions of biopolymers, electrostatics, protonation equilibria, ion transport, radiationless transitions as well as energy- and electron transfer are discussed within the frame of simple models.

  15. Theoretical Particle Astrophysics

    Energy Technology Data Exchange (ETDEWEB)

    Kamionkowski, Marc [Johns Hopkins Univ., Baltimore, MD (United States)

    2013-08-07

    Abstract: Theoretical Particle Astrophysics. The research carried out under this grant encompassed work on the early Universe, dark matter, and dark energy. We developed CMB probes for primordial baryon inhomogeneities, primordial non-Gaussianity, cosmic birefringence, gravitational lensing by density perturbations and gravitational waves, and departures from statistical isotropy. We studied the detectability of wiggles in the inflation potential in string-inspired inflation models. We studied novel dark-matter candidates and their phenomenology. This work helped advance the DoE's Cosmic Frontier (and also Energy and Intensity Frontiers) by finding synergies between a variety of different experimental efforts, by developing new searches, science targets, and analyses for existing/forthcoming experiments, and by generating ideas for new next-generation experiments.

  16. Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptive Version: A Critique Based on Experimental Studies

    Directory of Open Access Journals (Sweden)

    S. Venkatesh

    2012-01-01

    Full Text Available Partial discharge (PD is a major cause of failure of power apparatus and hence its measurement and analysis have emerged as a vital field in assessing the condition of the insulation system. Several efforts have been undertaken by researchers to classify PD pulses utilizing artificial intelligence techniques. Recently, the focus has shifted to the identification of multiple sources of PD since it is often encountered in real-time measurements. Studies have indicated that classification of multi-source PD becomes difficult with the degree of overlap and that several techniques such as mixed Weibull functions, neural networks, and wavelet transformation have been attempted with limited success. Since digital PD acquisition systems record data for a substantial period, the database becomes large, posing considerable difficulties during classification. This research work aims firstly at analyzing aspects concerning classification capability during the discrimination of multisource PD patterns. Secondly, it attempts at extending the previous work of the authors in utilizing the novel approach of probabilistic neural network versions for classifying moderate sets of PD sources to that of large sets. The third focus is on comparing the ability of partition-based algorithms, namely, the labelled (learning vector quantization and unlabelled (K-means versions, with that of a novel hypergraph-based clustering method in providing parsimonious sets of centers during classification.

  17. TYPICAL BANKING CRISES INTERNATIONAL BUSINESS ENVIRONMENT AND WAYS TO OVERCOME THEM

    Directory of Open Access Journals (Sweden)

    Ion Gr. IONESCU

    2014-06-01

    Full Text Available International financial environment is characterized as consisting of free trade and especially from the free movement of the capital on the financial markets, so very favourable, which also led to the rapid development of global financial markets. We lack the ability to keep the peace (silence for to counter the excesses of the financial markets. Without this ability, the global economy is exposed to the collapse. Financial capital enjoys a privileged position. He is more mobile than other factors of production and even more mobile than direct investment. Yet crises must be overcome. To support the arguments of this paper, we use a flexible methodology, starting from simple to complex, from theoretical to practical, from principle, to particularly, adding, specialty practice examples, from the international sphere, convinced that work-international banking must be healthy, able to generate profitable and dynamic business environments, safe for entrepreneurs and bankers, but also ordinary people.

  18. Towards A Theoretical Biology: Reminiscences

    Indian Academy of Sciences (India)

    cellular slime molds and interpreting them via theoretical analyses very much in the style of theoretical physics. Among them was V Nanjundiah who was a graduate student in physics. Thus while I cannot testify authoritatively as to the importance of the conferences for the development of theoretical biology generally, I can ...

  19. A Fast Acquisition Algorithm Overcoming Fuzz Problems for TDDM Spread Spectrum Signal

    Directory of Open Access Journals (Sweden)

    Fang Liu

    2014-01-01

    Full Text Available TDDM (time division data modulation technique will be used in the next generation GNSS (global navigation satellite system to improve processing performance and to reduce inter-GNSS interference; however, the emergence of TDDM signal causes the estimation frequency and message reversal fuzz problems in the acquisition process of a GNSS receiver. At present, the traditional acquisition methods have some limitations and shortcomings. Therefore, aiming at the unique characteristics of TDDM signal, a fast acquisition algorithm is proposed to overcome these fuzz problems in this paper. In the proposed algorithm, three stages are obtained by some key technologies, which are the I-Q frequency compensation, superposition processing, subsection processing, and reversion position estimation. Besides, the algorithm is simulated from carrier frequency error, code phase error, message inversion error, and processing speed. Theoretical and simulation results show that the new algorithm can quickly overcome the fuzz problems, and the new algorithm is better than the existing algorithm in the speed and accuracy, which demonstrates that this new algorithm is an effective search scheme for the next generation GNSS signals.

  20. Socio-theoretic Accounts of IS

    DEFF Research Database (Denmark)

    Rose, Jeremy; Jones, Matthew

    2005-01-01

    A long-standing debate in the IS literature concerns the relationship between technology and organization. Does technology cause effects in organizations, or is it humans that determine how technology is used? Many socio-theoretic accounts of a middle way between the extremes of technological...... be studied through ERP systems. These systems, though built and implemented by people, are thought to be wide-ranging in their effects on organizations, and offer good opportunities for the study of the interplay of human and machine agency. However these empirical stories also reflect the theoretical...... confusion. This paper argues that neither structuration theory nor actor network theory offers a particularly convincing account of the interaction of humans and machines, and that their different accounts of agency make them hard to integrate in any meaningful way. Comparing the two theories and their use...

  1. Distinction and connection between contact network, social network, and disease transmission network.

    Science.gov (United States)

    Chen, Shi; Lanzas, Cristina

    2016-09-01

    In this paper we discuss the distinction and connection between three closely related networks in animal ecology and epidemiology studies: the contact, social, and disease transmission networks. We provide a robust theoretical definition and interpretation of these three networks, demonstrate that social and disease transmission networks can be derived as spanning subgraphs of contact network, and show examples based on real-world high-resolution cattle contact structure data. Furthermore, we establish a modeling framework to track potential disease transmission dynamics and construct transmission network based on the observed animal contact network. Copyright © 2016 Elsevier B.V. All rights reserved.

  2. Game-theoretic interference coordination approaches for dynamic spectrum access

    CERN Document Server

    Xu, Yuhua

    2016-01-01

    Written by experts in the field, this book is based on recent research findings in dynamic spectrum access for cognitive radio networks. It establishes a game-theoretic framework and presents cutting-edge technologies for distributed interference coordination. With game-theoretic formulation and the designed distributed learning algorithms, it provides insights into the interactions between multiple decision-makers and the converging stable states. Researchers, scientists and engineers in the field of cognitive radio networks will benefit from the book, which provides valuable information, useful methods and practical algorithms for use in emerging 5G wireless communication.

  3. Marketing communications model for innovation networks

    Directory of Open Access Journals (Sweden)

    Tiago João Freitas Correia

    2015-10-01

    Full Text Available Innovation is an increasingly relevant concept for the success of any organization, but it also represents a set of internal and external considerations, barriers and challenges to overcome. Along the concept of innovation, new paradigms emerge such as open innovation and co-creation that are simultaneously innovation modifiers and intensifiers in organizations, promoting organizational openness and stakeholder integration within the value creation process. Innovation networks composed by a multiplicity of agents in co-creative work perform as innovation mechanisms to face the increasingly complexity of products, services and markets. Technology, especially the Internet, is an enabler of all process among organizations supported by co-creative platforms for innovation. The definition of marketing communication strategies that promote motivation and involvement of all stakeholders in synergic creation and external promotion is the central aspect of this research. The implementation of the projects is performed by participative workshops with stakeholders from Madan Parque through IDEAS(REVOLUTION methodology and the operational model LinkUp parameterized for the project. The project is divided into the first part, the theoretical framework, and the second part where a model is developed for the marketing communication strategies that appeal to the Madan Parque case study. Keywords: Marketing Communication; Open Innovation, Technology; Innovation Networks; Incubator; Co-Creation.

  4. The model of social crypto-network

    Directory of Open Access Journals (Sweden)

    Марк Миколайович Орел

    2015-06-01

    Full Text Available The article presents the theoretical model of social network with the enhanced mechanism of privacy policy. It covers the problems arising in the process of implementing the mentioned type of network. There are presented the methods of solving problems arising in the process of building the social network with privacy policy. It was built a theoretical model of social networks with enhanced information protection methods based on information and communication blocks

  5. The model of social crypto-network

    OpenAIRE

    Марк Миколайович Орел

    2015-01-01

    The article presents the theoretical model of social network with the enhanced mechanism of privacy policy. It covers the problems arising in the process of implementing the mentioned type of network. There are presented the methods of solving problems arising in the process of building the social network with privacy policy. It was built a theoretical model of social networks with enhanced information protection methods based on information and communication blocks

  6. Theoretical Approaches to Coping

    Directory of Open Access Journals (Sweden)

    Sofia Zyga

    2013-01-01

    Full Text Available Introduction: Dealing with stress requires conscious effort, it cannot be perceived as equal to individual's spontaneous reactions. The intentional management of stress must not be confused withdefense mechanisms. Coping differs from adjustment in that the latter is more general, has a broader meaning and includes diverse ways of facing a difficulty.Aim: An exploration of the definition of the term "coping", the function of the coping process as well as its differentiation from other similar meanings through a literature review.Methodology: Three theoretical approaches of coping are introduced; the psychoanalytic approach; approaching by characteristics; and the Lazarus and Folkman interactive model.Results: The strategic methods of the coping approaches are described and the article ends with a review of the approaches including the functioning of the stress-coping process , the classificationtypes of coping strategies in stress-inducing situations and with a criticism of coping approaches.Conclusions: The comparison of coping in different situations is difficult, if not impossible. The coping process is a slow process, so an individual may select one method of coping under one set ofcircumstances and a different strategy at some other time. Such selection of strategies takes place as the situation changes.

  7. A sign-theoretic approach to biotechnology

    DEFF Research Database (Denmark)

    Bruni, Luis Emilio

    to exemplify what is the relevance of a sign-theoretic approach to biotechnology. In particular, I introduce the notion of digital-analogical consensus as a semiotic pattern for the creation of complex logical products that constitute specific signs. The chapter ends with some examples of conspicuous semiotic...... to exemplify how a semiotic approach can be of help when organising the knowledge that can lead us to understanding the relevance, the role and the position of signal transduction networks in relation to the larger semiotic networks in which they function, i.e.: in the hierarchical formal processes of mapping...... such as the “signalome” and the “embryonic signalome” and I use the “Ca2+ code” to advance a hypothesis of how a cellular system achieves the necessary categorial perception that allows it to avoid undesirable cross-talk by using the semiotic patterns that I have called digital-analogical consensus. After having...

  8. The spread of computer viruses over a reduced scale-free network

    Science.gov (United States)

    Yang, Lu-Xing; Yang, Xiaofan

    2014-02-01

    Due to the high dimensionality of an epidemic model of computer viruses over a general scale-free network, it is difficult to make a close study of its dynamics. In particular, it is extremely difficult, if not impossible, to prove the global stability of its viral equilibrium, if any. To overcome this difficulty, we suggest to simplify a general scale-free network by partitioning all of its nodes into two classes: higher-degree nodes and lower-degree nodes, and then equating the degrees of all higher-degree nodes and all lower-degree nodes, respectively, yielding a reduced scale-free network. We then propose an epidemic model of computer viruses over a reduced scale-free network. A theoretical analysis reveals that the proposed model is bound to have a globally stable viral equilibrium, implying that any attempt to eradicate network viruses would prove unavailing. As a result, the next best thing we can do is to restrain virus prevalence. Based on an analysis of the impact of different model parameters on virus prevalence, some practicable measures are recommended to contain virus spreading. The work in this paper adequately justifies the idea of reduced scale-free networks.

  9. A joint experimental/theoretical investigation of the MMA polymerization initiated by yttrium phenoxyamine complexes.

    Science.gov (United States)

    Fang, Jian; Tschan, Mathieu J-L; Brulé, E; Robert, Carine; Thomas, Christophe M; Maron, Laurent

    2013-07-07

    A joint experimental/theoretical study has been carried out on the putative MMA polymerization catalyzed by an yttrium isopropyloxide complex. Despite its high activity in lactone polymerization, this catalyst is found to be unreactive on methyl methacrylate (MMA) polymerization. This surprising result is rationalized using a computational approach at the DFT level. Indeed, the endothermicity of the initiation step explains this lack of reactivity. The theoretical proposal of yttrium amido complexes as catalysts allows overcoming this initiation problem.

  10. Targeted cancer therapy; nanotechnology approaches for overcoming drug resistance.

    Science.gov (United States)

    Gao, Yan; Shen, Jacson K; Milane, Lara; Hornicek, Francis J; Amiji, Mansoor M; Duan, Zhenfeng

    2015-01-01

    Recent advances in cancer molecular biology have resulted in parallel and unprecedented progress in the development of targeted cancer therapy. Targeted therapy can provide higher efficacy and lower toxicity than conventional chemotherapy for cancer. However, like traditional chemotherapy, molecularly targeted cancer therapy also faces the challenge of drug resistance. Multiple mechanisms are responsible for chemotherapy resistance in tumors, including over-expression of efflux transporters, somatic alterations of drug targets, deregulation of apoptosis, and numerous pharmacokinetic issues. Nanotechnology based approaches are proving to be efficacious in overcoming drug resistance in cancer. Combination of targeted therapies with nanotechnology approaches is a promising strategy to overcome targeted therapy drug resistance in cancer treatment. This review discusses the mechanisms of targeted drug resistance in cancer and discusses nanotechnology approaches to circumvent this resistance.

  11. Factors Influencing the Success Of Autism Spectrum Disorders Overcoming

    Directory of Open Access Journals (Sweden)

    Gorbachevskaya N.L.

    2016-12-01

    Full Text Available No more than 10—20% of children with autism, as becoming adults can adapt to a relatively independent life. Despite many publications dedicated to autism, relatively little work has examined the output characteristics and pathomorphosis of psychic and cognitive disorders in people with autism spectrum disorders (ASD. Only few longitudinal studies allow us to represent what happens in later life with people who have ASD. For conducting effective correctional interventions overcomingwith children with ASD there is need to identify predictors of successful overcome of disorders. The basis for the study, conducted by a team of psychologists and neuroscientists, was the assumption that the information about the features of violations of basic neurobiological mechanisms in people with autism spectrum disorders should determine the tactics of assistance. Genetic, neurophysiological and psychological factors, causing more successful overcoming of these disorders in children are revealed.

  12. Namaste (counterbalancing technique: Overcoming warping in costal cartilage

    Directory of Open Access Journals (Sweden)

    Kapil S Agrawal

    2015-01-01

    Full Text Available Background: Indian noses are broader and lack projection as compared to other populations, hence very often need augmentation, that too by large volume. Costal cartilage remains the material of choice in large volume augmentations and repair of complex primary and secondary nasal deformities. One major disadvantage of costal cartilage grafts (CCG which offsets all other advantages is the tendency to warp and become distorted over a period of time. We propose a simple technique to overcome this menace of warping. Materials and Methods: We present the data of 51 patients of rhinoplasty done using CCG with counterbalancing technique over a period of 4 years. Results: No evidence of warping was found in any patient up to a maximum follow-up period of 4 years. Conclusion: Counterbalancing is a useful technique to overcome the problem of warping. It gives liberty to utilize even unbalanced cartilage safely to provide desired shape and use the cartilage without any wastage.

  13. Information leverage in interconnected ecosystems: Overcoming the curse of dimensionality.

    Science.gov (United States)

    Ye, Hao; Sugihara, George

    2016-08-26

    In ecological analysis, complexity has been regarded as an obstacle to overcome. Here we present a straightforward approach for addressing complexity in dynamic interconnected systems. We show that complexity, in the form of multiple interacting components, can actually be an asset for studying natural systems from temporal data. The central idea is that multidimensional time series enable system dynamics to be reconstructed from multiple viewpoints, and these viewpoints can be combined into a single model. We show how our approach, multiview embedding (MVE), can improve forecasts for simulated ecosystems and a mesocosm experiment. By leveraging complexity, MVE is particularly effective for overcoming the limitations of short and noisy time series and should be highly relevant for many areas of science. Copyright © 2016, American Association for the Advancement of Science.

  14. Negative feedback and transcriptional overshooting in a regulatory network for horizontal gene transfer.

    Directory of Open Access Journals (Sweden)

    Raul Fernandez-Lopez

    2014-02-01

    Full Text Available Horizontal gene transfer (HGT is a major force driving bacterial evolution. Because of their ability to cross inter-species barriers, bacterial plasmids are essential agents for HGT. This ability, however, poses specific requisites on plasmid physiology, in particular the need to overcome a multilevel selection process with opposing demands. We analyzed the transcriptional network of plasmid R388, one of the most promiscuous plasmids in Proteobacteria. Transcriptional analysis by fluorescence expression profiling and quantitative PCR revealed a regulatory network controlled by six transcriptional repressors. The regulatory network relied on strong promoters, which were tightly repressed in negative feedback loops. Computational simulations and theoretical analysis indicated that this architecture would show a transcriptional burst after plasmid conjugation, linking the magnitude of the feedback gain with the intensity of the transcriptional burst. Experimental analysis showed that transcriptional overshooting occurred when the plasmid invaded a new population of susceptible cells. We propose that transcriptional overshooting allows genome rebooting after horizontal gene transfer, and might have an adaptive role in overcoming the opposing demands of multilevel selection.

  15. Statistical mechanics of complex networks

    CERN Document Server

    Rubi, Miguel; Diaz-Guilera, Albert

    2003-01-01

    Networks can provide a useful model and graphic image useful for the description of a wide variety of web-like structures in the physical and man-made realms, e.g. protein networks, food webs and the Internet. The contributions gathered in the present volume provide both an introduction to, and an overview of, the multifaceted phenomenology of complex networks. Statistical Mechanics of Complex Networks also provides a state-of-the-art picture of current theoretical methods and approaches.

  16. Protection of electricity distribution networks

    CERN Document Server

    Gers, Juan M

    2004-01-01

    Written by two practicing electrical engineers, this second edition of the bestselling Protection of Electricity Distribution Networks offers both practical and theoretical coverage of the technologies, from the classical electromechanical relays to the new numerical types, which protect equipment on networks and in electrical plants. A properly coordinated protection system is vital to ensure that an electricity distribution network can operate within preset requirements for safety for individual items of equipment, staff and public, and the network overall. Suitable and reliable equipment sh

  17. Engaging basic scientists in translational research: identifying opportunities, overcoming obstacles

    Science.gov (United States)

    2012-01-01

    This report is based on the Federation of American Societies for Experimental Biology’s symposium, “Engaging basic Scientists in Translational Research: Identifying Opportunities, Overcoming Obstacles,” held in Chevy Chase, MD, March 24–25, 2011. Meeting participants examined the benefits of engaging basic scientists in translational research, the challenges to their participation in translational research, and the roles that research institutions, funding organizations, professional societies, and scientific publishers can play to address these challenges. PMID:22500917

  18. Strategies for overcoming gender stereotypes in cognitive representations

    OpenAIRE

    Finnegan, Eimear

    2014-01-01

    Gender stereotypes are activated spontaneously and unintentionally when certain role nouns are read. For example, people expect a builder to be male and a beautician to be female. Such gender inferences lead to processing difficulties when violations of stereotypical gender occur. The aim of this thesis was to devise strategies aimed at overcoming the activation of gender stereotype biases in English. \\ud \\ud Across nine studies, a variety of stereotype reduction strategies were investigated ...

  19. Overcoming Autophagy to Induce Apoptosis in Castration Resistant Prostate Cancer

    Science.gov (United States)

    2015-10-01

    AWARD NUMBER: W81XWH-12-1-0529 TITLE: Overcoming Autophagy to Induce Apoptosis in Castration Resistant Prostate Cancer PRINCIPAL...survival mechanism and led cells to undergo apoptosis . Survival mechanisms elicited by CRPC C4-2B cells when treated with Enza may be blocked by...Targeting cancer cell metabolism: the combination of metformin and 2-deoxyglucose induces p53-dependent apoptosis in prostate cancer cells. Cancer

  20. Overcoming an intrinsic depolarizing resonance with a partial Siberian snake

    Directory of Open Access Journals (Sweden)

    H. Huang

    2004-07-01

    Full Text Available An 11.4% partial Siberian snake was used to successfully accelerate polarized protons through a strong intrinsic depolarizing spin resonance in the Alternating Gradient Synchrotron (AGS. No noticeable depolarization was observed. This opens up the possibility of using a 20% to 30% partial Siberian snake in the AGS or other medium energy proton synchrotrons to overcome all weak and strong depolarizing spin resonances.

  1. Development by Design in Western Australia: Overcoming Offset Obstacles

    OpenAIRE

    James Fitzsimons; Michael Heiner; Bruce McKenney; Kei Sochi; Joseph Kiesecker

    2014-01-01

    Biodiversity offsets can be an important tool for maintaining or enhancing environmental values in situations where development is sought despite negative environmental impacts. There are now approximately 45 compensatory mitigation programs for biodiversity impacts worldwide, with another 27 programs in development. While offsets have great potential as a conservation tool, their establishment requires overcoming a number of conceptual and methodological hurdles. In Australia, new policy cha...

  2. Overcoming Barriers to the Transfer and Diffusion of Climate Technologies

    OpenAIRE

    Nygaard, Ivan; Hansen, Ulrich Elmer

    2015-01-01

    This guidebook provides practical and operational guidance on how to assess and overcome barriersfacing the transfer and diffusion of technologies for climate change mitigation and adaptation.The guidebook is designed to support the analysis of specific technologies, rather than pursuing asectoral (e.g. transport) or technology group (e.g. renewable energy) approach.Given that there is no single solution to enhancing technology transfer and diffusion policies needbe tailored to country-specif...

  3. Physical activity to overcome the adversity of widowhood

    OpenAIRE

    Li, Chu-Shiu; Lee, June Han; Chang, Ly-yun; Liu, Chwen-Chi; Chan, Yan-Lan; Wen, Christopher; Chiu, Mu-Lin; Tsai, Min Kuang; Tsai, Shan Pou; Wai, Jackson Pui Man; Tsao, Chwen Keng; Wu, Xifeng; Wen, Chi Pang

    2016-01-01

    Abstract Widowhood has been increasingly encountered because of increasing longevity of women, often characterized by social stigmatization and poor physical and mental health. However, applied research to overcome its adversity has been quite limited. The goal of this study is to explore the role of physical activity in improving the health of widows. A cohort of 446,582 adults in Taiwan who successively participated in a comprehensive medical screening program starting in 1994, including 23...

  4. Overcoming the Bellman's curse of dimensionality in large optimization problems

    Science.gov (United States)

    Sobieszczanski-Sobieski, Jaroslaw

    1990-01-01

    Decomposition of large problems into a hierarchic pyramid of subproblems was proposed in the literature as a means for optimization of engineering systems too large for all-in-one optimization. This decomposition was established heuristically. The dynamic programming (DP) method due to Bellman was augmented with an optimum sensitivity analysis that provides a mathematical basis for the above decomposition, and overcomes the curse of dimensionality that limited the original formulation of DP. Numerical examples are cited.

  5. “Exegetical Education": Overcoming Obstacles in a Collaborative Journey Toward Meaning

    Directory of Open Access Journals (Sweden)

    Michael Holton

    2015-06-01

    Full Text Available A practical problem often arises in gospel doctrine classes since the scriptural text is often bypassed in favour of thematic discussions. The use of exegesis might overcome this problem by reinstating the text as a genuine source of meaning. Indeed, exegetical education (EE could aid in understanding and using the text. Practical action research was employed in a small-scale study to explore these claims. Interviews held with three teachers explored their practice of exegetical forms of instruction. EE was formalised during a pilot stage. A reflective journal was kept during a further implementation of EE in specific gospel doctrine classes. Finally, a focus group interview was held with students to explore their experience of EE as implemented. The data obtained was analysed using network analysis. The findings support the claim that EE contributes to the relevance of the text in classroom discussions. These findings paint a metaphorical picture of EE as involving a journey that has various obstacles that must be overcome: a journey akin to an obstacle course. Ideally, the journey starts with a ‘living’ text and ends with ‘living’ truth. Further research could explore whether the consistent use of exegetical homework assignments encourage independent learning and improve class discussions.

  6. Nanomedicine strategies to overcome the pathophysiological barriers of pancreatic cancer.

    Science.gov (United States)

    Adiseshaiah, Pavan P; Crist, Rachael M; Hook, Sara S; McNeil, Scott E

    2016-12-01

    Pancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer- related deaths. PDAC remains one of the most difficult-to-treat cancers, owing to its unique pathobiological features: a nearly impenetrable desmoplastic stroma, and hypovascular and hypoperfused tumour vessels render most treatment options largely ineffective. Progress in understanding the pathobiology and signalling pathways involved in disease progression is helping researchers to develop novel ways to fight PDAC, including improved nanotechnology-based drug-delivery platforms that have the potential to overcome the biological barriers of the disease that underlie persistent drug resistance. So-called 'nanomedicine' strategies have the potential to enable targeting of the Hedgehog-signalling pathway, the autophagy pathway, and specific RAS-mutant phenotypes, among other pathological processes of the disease. These novel therapies, alone or in combination with agents designed to disrupt the pathobiological barriers of the disease, could result in superior treatments, with increased efficacy and reduced off-target toxicities compared with the current standard-of-care regimens. By overcoming drug-delivery challenges, advances can be made in the treatment of PDAC, a disease for which limited improvement in overall survival has been achieved over the past several decades. We discuss the approaches to nanomedicine that have been pursued to date and those that are the focus of ongoing research, and outline their potential, as well as the key challenges that must be overcome.

  7. Overcome Cancer Cell Drug Resistance Using Natural Products

    Directory of Open Access Journals (Sweden)

    Pu Wang

    2015-01-01

    Full Text Available Chemotherapy is one of the major treatment methods for cancer. However, failure in chemotherapy is not uncommon, mainly due to dose-limiting toxicity associated with drug resistance. Management of drug resistance is important towards successful chemotherapy. There are many reports in the Chinese literature that natural products can overcome cancer cell drug resistance, which deserve sharing with scientific and industrial communities. We summarized the reports into four categories: (1 in vitro studies using cell line models; (2 serum pharmacology; (3 in vivo studies using animal models; and (4 clinical studies. Fourteen single compounds were reported to have antidrug resistance activity for the first time. In vitro, compounds were able to overcome drug resistance at nontoxic or subtoxic concentrations, in a dose-dependent manner, by inhibiting drug transporters, cell detoxification capacity, or cell apoptosis sensitivity. Studies in vivo showed that single compounds, herbal extract, and formulas had potent antidrug resistance activities. Importantly, many single compounds, herbal extracts, and formulas have been used clinically to treat various diseases including cancer. The review provides comprehensive data on use of natural compounds to overcome cancer cell drug resistance in China, which may facilitate the therapeutic development of natural products for clinical management of cancer drug resistance.

  8. Enhancing social networks: a qualitative study of health and social care practice in UK mental health services.

    Science.gov (United States)

    Webber, Martin; Reidy, Hannah; Ansari, David; Stevens, Martin; Morris, David

    2015-03-01

    People with severe mental health problems such as psychosis have access to less social capital, defined as resources within social networks, than members of the general population. However, a lack of theoretically and empirically informed models hampers the development of social interventions which seek to enhance an individual's social networks. This paper reports the findings of a qualitative study, which used ethnographic field methods in six sites in England to investigate how workers helped people recovering from psychosis to enhance their social networks. This study drew upon practice wisdom and lived experience to provide data for intervention modelling. Data were collected from 73 practitioners and 51 people who used their services in two phases. Data were selected and coded using a grounded theory approach to depict the key themes that appeared to underpin the generation of social capital within networks. Findings are presented in four over-arching themes - worker skills, attitudes and roles; connecting people processes; role of the agency; and barriers to network development. The sub-themes which were identified included worker attitudes; person-centred approach; equality of worker-individual relationship; goal setting; creating new networks and relationships; engagement through activities; practical support; existing relationships; the individual taking responsibility; identifying and overcoming barriers; and moving on. Themes were consistent with recovery models used within mental health services and will provide the basis for the development of an intervention model to enhance individuals' access to social capital within networks. © 2014 John Wiley & Sons Ltd.

  9. Tourism-planning network knowledge dynamics

    DEFF Research Database (Denmark)

    Dredge, Dianne

    2014-01-01

    This chapter explores the characteristics and functions of tourism networks as a first step in understanding how networks facilitate and reproduce knowledge. A framework to progress understandings of knowledge dynamics in tourism networks is presented that includes four key dimensions: context......, network agents, network boundaries and network resources. A case study of the development of the Next Generation Tourism Handbook (Queensland, Australia), a policy initiative that sought to bring tourism and land use planning knowledge closer together is presented. The case study illustrates...... that the tourism policy and land use planning networks operate in very different spheres and that context, network agents, network boundaries and network resources have a significant influence not only on knowledge dynamics but also on the capacity of network agents to overcome barriers to learning and to innovate....

  10. Competing intramolecular N-H⋯O=C hydrogen bonds and extended intermolecular network in 1-(4-chlorobenzoyl)-3-(2-methyl-4-oxopentan-2-yl) thiourea analyzed by experimental and theoretical methods

    Energy Technology Data Exchange (ETDEWEB)

    Saeed, Aamer, E-mail: aamersaeed@yahoo.com [Department of Chemistry, Quaid-I-Azam University, Islamabad 45320 (Pakistan); Khurshid, Asma [Department of Chemistry, Quaid-I-Azam University, Islamabad 45320 (Pakistan); Jasinski, Jerry P. [Department of Chemistry, Keene State College, 229 Main Street Keene, NH 03435-2001 (United States); Pozzi, C. Gustavo; Fantoni, Adolfo C. [Instituto de Física La Plata, Departamento de Física, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, 49 y 115, La Plata, Buenos Aires (Argentina); Erben, Mauricio F., E-mail: erben@quimica.unlp.edu.ar [CEQUINOR (UNLP, CONICET-CCT La Plata), Departamento de Química, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, C.C. 962, (1900) La Plata, Buenos Aires (Argentina)

    2014-03-18

    Highlights: • Two distinct N-H⋯O=C intramolecular competing hydrogen bonds are feasible in the title molecule. • Crystal structures and vibrational properties were determined. • The C=O and C=S double bonds of the acyl-thiourea group are mutually oriented in opposite directions. • A strong hyperconjugative lpO1 → σ{sup ∗}(N2-H) remote interaction was detected. • Topological analysis reveals a Cl⋯N interaction playing a relevant role in crystal packing. - Abstract: The synthesis of a novel 1-acyl-thiourea species (C{sub 14}H{sub 17}N{sub 2}O{sub 2}SCl), has been tailored in such a way that two distinct N-H⋯O=C intramolecular competing hydrogen bonds are feasible. The X-ray structure analysis as well as the vibrational (FT-IR and FT-Raman) data reveal that the S conformation is preferred, with the C=O and C=S bonds of the acyl-thiourea group pointing in opposite directions. The preference for the intramolecular N-H⋯O=C hydrogen bond within the -C(O)NHC(S)NH- core is confirmed. The Natural Bond Orbital and the Atom in Molecule approaches demonstrate that a strong hyperconjugative lpO → σ{sup ∗}(N-H) remote interaction between the acyl and the thioamide N-H groups is responsible for the stabilization of the S conformation. Intermolecular interactions have been characterized in the periodic system electron density and the topological analysis reveals the presence of an extended intermolecular network in the crystal, including a Cl⋯N interaction playing a relevant role in crystal packing.

  11. Topics in Theoretical Physics

    Energy Technology Data Exchange (ETDEWEB)

    Cohen, Andrew [Boston Univ., MA (United States); Schmaltz, Martin [Boston Univ., MA (United States); Katz, Emmanuel [Boston Univ., MA (United States); Rebbi, Claudio [Boston Univ., MA (United States); Glashow, Sheldon [Boston Univ., MA (United States); Brower, Richard [Boston Univ., MA (United States); Pi, So-Young [Boston Univ., MA (United States)

    2016-09-30

    This award supported a broadly based research effort in theoretical particle physics, including research aimed at uncovering the laws of nature at short (subatomic) and long (cosmological) distances. These theoretical developments apply to experiments in laboratories such as CERN, the facility that operates the Large Hadron Collider outside Geneva, as well as to cosmological investigations done using telescopes and satellites. The results reported here apply to physics beyond the so-called Standard Model of particle physics; physics of high energy collisions such as those observed at the Large Hadron Collider; theoretical and mathematical tools and frameworks for describing the laws of nature at short distances; cosmology and astrophysics; and analytic and computational methods to solve theories of short distance physics. Some specific research accomplishments include + Theories of the electroweak interactions, the forces that give rise to many forms of radioactive decay; + Physics of the recently discovered Higgs boson. + Models and phenomenology of dark matter, the mysterious component of the universe, that has so far been detected only by its gravitational effects. + High energy particles in astrophysics and cosmology. + Algorithmic research and Computational methods for physics of and beyond the Standard Model. + Theory and applications of relativity and its possible limitations. + Topological effects in field theory and cosmology. + Conformally invariant systems and AdS/CFT. This award also supported significant training of students and postdoctoral fellows to lead the research effort in particle theory for the coming decades. These students and fellows worked closely with other members of the group as well as theoretical and experimental colleagues throughout the physics community. Many of the research projects funded by this grant arose in response to recently obtained experimental results in the areas of particle physics and cosmology. We describe a few of

  12. Theoretically Optimal Distributed Anomaly Detection

    Data.gov (United States)

    National Aeronautics and Space Administration — A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly...

  13. Information-theoretic metamodel of organizational evolution

    Science.gov (United States)

    Sepulveda, Alfredo

    2011-12-01

    Social organizations are abstractly modeled by holarchies---self-similar connected networks---and intelligent complex adaptive multiagent systems---large networks of autonomous reasoning agents interacting via scaled processes. However, little is known of how information shapes evolution in such organizations, a gap that can lead to misleading analytics. The research problem addressed in this study was the ineffective manner in which classical model-predict-control methods used in business analytics attempt to define organization evolution. The purpose of the study was to construct an effective metamodel for organization evolution based on a proposed complex adaptive structure---the info-holarchy. Theoretical foundations of this study were holarchies, complex adaptive systems, evolutionary theory, and quantum mechanics, among other recently developed physical and information theories. Research questions addressed how information evolution patterns gleamed from the study's inductive metamodel more aptly explained volatility in organization. In this study, a hybrid grounded theory based on abstract inductive extensions of information theories was utilized as the research methodology. An overarching heuristic metamodel was framed from the theoretical analysis of the properties of these extension theories and applied to business, neural, and computational entities. This metamodel resulted in the synthesis of a metaphor for, and generalization of organization evolution, serving as the recommended and appropriate analytical tool to view business dynamics for future applications. This study may manifest positive social change through a fundamental understanding of complexity in business from general information theories, resulting in more effective management.

  14. Dynamic network-based epistasis analysis: Boolean examples

    Directory of Open Access Journals (Sweden)

    Eugenio eAzpeitia

    2011-12-01

    Full Text Available In this review we focus on how the hierarchical and single-path assumptions of epistasis analysis can bias the topologies of gene interactions infered. This has been acknowledged in several previous papers and reviews, but here we emphasize the critical importance of dynamic analyses, and specifically illustrate the use of Boolean network models. Epistasis in a broad sense refers to gene interactions, however, as originally proposed by Bateson (herein, classical epistasis, defined as the blocking of a particular allelic effect due to the effect of another allele at a different locus. Classical epistasis analysis has proven powerful and useful, allowing researchers to infer and assign directionality to gene interactions. As larger data sets are becoming available, the analysis of classical epistasis is being complemented with computer science tools and system biology approaches. We show that when the hierarchical and single-path assumptions are not met in classical epistasis analysis, the access to relevant information and the correct gene interaction topologies are hindered, and it becomes necessary to consider the temporal dynamics of gene interactions. The use of dynamical networks can overcome these limitations. We particularly focus on the use of Boolean networks that, like classical epistasis analysis, relies on logical formalisms, and hence can complement classical epistasis analysis and relax its assumptions. We develop a couple of theoretical examples and analyze them from a dynamic Boolean network model perspective. Boolean networks could help to guide additional experiments and discern among alternative regulatory schemes that would be impossible or difficult to infer without the elimination of these assumption from the classical epistasis analysis. We also use examples from the literature to show how a Boolean network-based approach has resolved ambiguities and guided epistasis analysis. Our review complements previous accounts, not

  15. Theoretical principles and methods of lingvopersonology

    Directory of Open Access Journals (Sweden)

    Danylyuk Illya

    2016-08-01

    Full Text Available Background: The relevance of our research, above all, is theoretically motivated by the development of extraordinary scientific and practical interest in the possibilities of language processing of huge amount of data generated by people in everyday professional and personal life in the electronic forms of communication (e-mail, sms, voice, audio and video blogs, social networks, etc.. Purpose: The purpose of the article is to study and summarize theoretical principles of lingvopersonology to implement fundamental research: modeling specific linguistic identity by means of modern information technology. Results: Lingvopersonology developed some great theoretical foundations, its methods, tools, and significant achievements let us predict that the newest promising trend is a linguistic identity modeling by means of information technology, including language. We see three aspects of the modeling: 1 modeling the semantic level of linguistic identity – by means of the use of corpus linguistics; 2 sound level formal modeling of linguistic identity – with the help of speech synthesis; 3 formal graphic level modeling of linguistic identity – with the help of image synthesis (handwriting. Discussion: The project "Communicative-pragmatic, discourse, and grammatical lingvopersonology: structuring linguistic identity and computer modeling", which is implementing by the Department of General and Applied Linguistics and Slavonic philology, selected a task to model Yuriy Shevelyov (Sherekh’ language identity. A text corpus and audio corpus are being built, some samples of scientist’s handwriting are collected.

  16. THEORETICAL ASPECTS OF INFORMATIONAL SERVICES REGIONAL MARKET EFFECTIVE DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    I.N. Korabejnikov

    2008-12-01

    Full Text Available The peculiarities and priorities of the informational services regional market formation as a part of network model of the economic development are described in this article. The authors present the classification of the factors which have an influence on the effectiveness of the informational services regional market development. Theoretical aspects of the informational services regional market effective development are shown.

  17. Strategies Used by Prehospital Providers to Overcome Language Barriers.

    Science.gov (United States)

    Tate, Ramsey C; Hodkinson, Peter W; Meehan-Coussee, Kelly; Cooperstein, Noah

    2016-01-01

    Language barriers are commonly encountered in the prehospital setting but there is a paucity of research on how prehospital providers address language discordance. We sought to identify the communication strategies, and the limitations of those strategies, used by emergency medical services (EMS) providers when confronted with language barriers in a variety of linguistic and cultural contexts. EMS providers were queried regarding communication strategies to overcome language barriers as part of an international, multi-site, sequential explanatory, qualitative-predominant, mixed methods study of prehospital language barriers. A survey of EMS telecommunicators was administered at dispatch centers in New Mexico (United States) and Western Cape (South Africa). Semi-structured qualitative interviews of EMS field providers were conducted at agencies who respond to calls from participating dispatch centers. Survey data included quantitative data on demographics and communication strategies used to overcome language barriers as well as qualitative free-text responses on the limitations of strategies. Interviews elicited narratives of encounters with language-discordant patients and the strategies used to communicate. Data from the surveys and interviews were integrated at the point of analysis. 125 telecommunicators (overall response rate of 84.5%) and a purposive sample of 27 field providers participated in the study. The characteristics of participants varied between countries and between agencies, consistent with variations in participating agencies' hiring and training practices. Telecommunicators identified 3rd-party telephonic interpreter services as the single most effective strategy when available, but also described time delays and frustration with interpreter communications that leads them to preferentially try other strategies. In the field, all providers reported using similar strategies, relying heavily on bystanders, multilingual coworkers, and non

  18. FINAL TECHNICAL REPORT: 20% Wind by 2030: Overcoming the Challenges

    Energy Technology Data Exchange (ETDEWEB)

    Tom Kaiserski; Dan Lloyd

    2012-02-28

    The funds allocated through the Wind Powering America (WPA) grant were utilized by the State of Montana to support broad outreach activities communicating the benefits and opportunities of increased wind energy and transmission development. The challenges to increased wind development were also clearly communicated with the understanding that a clearer comprehension of the challenges would be beneficial in overcoming the obstacles to further development. The ultimate purpose of these activities was to foster the increased development of Montana's rich wind resources through increased public acceptance and wider dissemination of technical resources.

  19. Use of Friction Buttering for Overcoming HAZ Liquation Cracking

    Science.gov (United States)

    Karthik, G. M.; Janaki Ram, G. D.; Kottada, Ravi Sankar

    2017-10-01

    Multi-layer friction deposits in nickel-based superalloy Inconel 718 were investigated for their heat-affected zone liquation cracking resistance. The friction deposits, owing to their fine-grained microstructure with a large number of subgrain boundaries and fine, uniformly distributed carbide particles, were found to exhibit superior liquation cracking resistance to standard wrought-processed alloy 718. Based on these findings, a new technique involving friction deposition of the base plates prior to fusion welding was proposed for overcoming liquation cracking.

  20. Research and development to overcome fouling of membranes. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Narang, S.C.; Sharma, S.K.; Hum, G.; Ventura, S.C.; Roberts, D.L.; Gottschlich, D.; Ahner, N.

    1998-11-01

    To overcome fouling of membranes, SRI International is developing a unique piezoelectric backing for ultrafiltration membranes. This backing is capable of producing local turbulence next to the membrane to minimize concentration polarization and the rate of buildup of solutes and particulate matter on the membrane surface. We have studied piezoelectrically assisted ultrafiltration in more detail, with the objective to apply this process to industrial ultrafiltrations. We conducted several ultrafiltration experiments on flat sheet membranes with model dextran solutions and with electrocoat paint to study flux enhancement as a function of parameters such as feed flow rate, feed pressure, as well as the piezodriver-membrane system.

  1. OVERCOMING POVERTY TRAP: THE CASE OF WATER & SANITATION IN INDONESIA

    Directory of Open Access Journals (Sweden)

    Hilda Leilani Masniarita Pohan

    2016-02-01

    Full Text Available Overcoming Poverty Trap : The Case of  Water & Sanitation in Indonesia. Poverty trap is a cycle in which poor individuals exhibit low health quality due to malnutrition and limited access to health related facilities. Poor health causes low productivity which eventually cycles back to low income. Indonesia significantly reduced poverty from 15.6% in 1990 to 3.3% in 2010. However, this achievement is not conveyed equally across regions. Using data form RAND Corporation, estimations showed that access to sanitation and clean water play a crucial role in improving one’s health quality.   Keywords: poverty trap, productivity, income, health facility.

  2. Overcoming Barriers to the Transfer and Diffusion of Climate Technologies

    DEFF Research Database (Denmark)

    Nygaard, Ivan; Hansen, Ulrich Elmer

    This guidebook provides practical and operational guidance on how to assess and overcome barriersfacing the transfer and diffusion of technologies for climate change mitigation and adaptation.The guidebook is designed to support the analysis of specific technologies, rather than pursuing asectoral...... (e.g. transport) or technology group (e.g. renewable energy) approach.Given that there is no single solution to enhancing technology transfer and diffusion policies needbe tailored to country-specific context and interests. Therefore, the guidebook presents a flexibleapproach, identifying various...

  3. Wind energy: Overcoming inadequate wind and modeling uncertainties

    Energy Technology Data Exchange (ETDEWEB)

    Kane, Vivek

    2010-09-15

    'Green Energy' is the call of the day, and significance of Wind Energy can never be overemphasized. But the key question here is - What if the wind resources are inadequate? Studies reveal that the probability of finding favorable wind at a given place on land is only 15%. Moreover, there are inherent uncertainties associated with wind business. Can we overcome inadequate wind resources? Can we scientifically quantify uncertainty and model it to make business sense? This paper proposes a solution, by way of break-through Wind Technologies, combined with advanced tools for Financial Modeling, enabling vital business decisions.

  4. Using evidence to overcome obstacles to family presence.

    Science.gov (United States)

    Davidson, Judy E; Savidan, Kimberly A; Barker, Nancy; Ekno, Mary; Warmuth, Dianne; Degen-De Cort, Annemarie

    2014-01-01

    Family presence is advocated by many professional organizations and recommended in practice guidelines. However, firmly held beliefs often prevent full implementation of family presence on rounds and with visiting. This article will review the evidence surrounding common concerns that family presence will increase infection, have adverse effects on the physiologic status of the patient, defer from teaching opportunities, or otherwise interfere with rounds. The notion that families need to be encouraged to go home to rest is also explored. A case study describing 1 unit's efforts to improve family presence is described. Strategies to overcome obstacles inhibiting family presence will be provided.

  5. Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping

    Science.gov (United States)

    Tarando, Sebastian Roberto; Fetita, Catalin; Brillet, Pierre-Yves

    2017-03-01

    The infiltrative lung diseases are a class of irreversible, non-neoplastic lung pathologies requiring regular follow-up with CT imaging. Quantifying the evolution of the patient status imposes the development of automated classification tools for lung texture. Traditionally, such classification relies on a two-dimensional analysis of axial CT images. This paper proposes a cascade of the existing CNN based CAD system, specifically tuned-up. The advantage of using a deep learning approach is a better regularization of the classification output. In a preliminary evaluation, the combined approach was tested on a 13 patient database of various lung pathologies, showing an increase of 10% in True Positive Rate (TPR) with respect to the best suited state of the art CNN for this task.

  6. Overcoming the Invisibility of Metrology: A Reading Measurement Network for Education and the Social Sciences

    Science.gov (United States)

    Fisher, William P., Jr.; Stenner, A. Jackson

    2013-09-01

    The public and researchers in psychology and the social sciences are largely unaware of the huge resources invested in metrology and standards in science and commerce, for understandable reasons, but with unfortunate consequences. Measurement quality varies widely in fields lacking uniform standards, making it impossible to coordinate local behaviours and decisions in tune with individually observed instrument readings. However, recent developments in reading measurement have effectively instituted metrological traceability methods within elementary and secondary English and Spanish language reading education in the U.S., Canada, Mexico, and Australia. Given established patterns in the history of science, it may be reasonable to expect that widespread routine reproduction of controlled effects expressed in uniform units in the social sciences may lead to significant developments in theory and practice.

  7. Artificial neural network modelling

    CERN Document Server

    Samarasinghe, Sandhya

    2016-01-01

    This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling. .

  8. A Realization of Theoretical Maximum Performance in IPSec on Gigabit Ethernet

    Science.gov (United States)

    Onuki, Atsushi; Takeuchi, Kiyofumi; Inada, Toru; Tokiniwa, Yasuhisa; Ushirozawa, Shinobu

    This paper describes “IPSec(IP Security) VPN system" and how it attains a theoretical maximum performance on Gigabit Ethernet. The Conventional System is implemented by software. However, the system has several bottlenecks which must be overcome to realize a theoretical maximum performance on Gigabit Ethernet. Thus, we newly propose IPSec VPN System with the FPGA(Field Programmable Gate Array) based hardware architecture, which transmits a packet by the pipe-lined flow processing and has 6 parallel structure of encryption and authentication engines. We show that our system attains the theoretical maximum performance in the short packet which is difficult to realize until now.

  9. Mathematical challenges from theoretical/computational chemistry

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-31

    The committee believes that this report has relevance and potentially valuable suggestions for a wide range of readers. Target audiences include: graduate departments in the mathematical and chemical sciences; federal and private agencies that fund research in the mathematical and chemical sciences; selected industrial and government research and development laboratories; developers of software and hardware for computational chemistry; and selected individual researchers. Chapter 2 of this report covers some history of computational chemistry for the nonspecialist, while Chapter 3 illustrates the fruits of some past successful cross-fertilization between mathematical scientists and computational/theoretical chemists. In Chapter 4 the committee has assembled a representative, but not exhaustive, survey of research opportunities. Most of these are descriptions of important open problems in computational/theoretical chemistry that could gain much from the efforts of innovative mathematical scientists, written so as to be accessible introductions to the nonspecialist. Chapter 5 is an assessment, necessarily subjective, of cultural differences that must be overcome if collaborative work is to be encouraged between the mathematical and the chemical communities. Finally, the report ends with a brief list of conclusions and recommendations that, if followed, could promote accelerated progress at this interface. Recognizing that bothersome language issues can inhibit prospects for collaborative research at the interface between distinctive disciplines, the committee has attempted throughout to maintain an accessible style, in part by using illustrative boxes, and has included at the end of the report a glossary of technical terms that may be familiar to only a subset of the target audiences listed above.

  10. Platinum nanoparticles: an exquisite tool to overcome radioresistance.

    Science.gov (United States)

    Li, Sha; Porcel, Erika; Remita, Hynd; Marco, Sergio; Réfrégiers, Matthieu; Dutertre, Murielle; Confalonieri, Fabrice; Lacombe, Sandrine

    2017-01-01

    Small metallic nanoparticles are proposed as potential nanodrugs to optimize the performances of radiotherapy. This strategy, based on the enrichment of tumours with nanoparticles to amplify radiation effects in the tumour, aims at increasing the cytopathic effect in tumours while healthy tissue is preserved, an important challenge in radiotherapy. Another major cause of radiotherapy failure is the radioresistance of certain cancers. Surprisingly, the use of nanoparticles to overcome radioresistance has not, to the best of our knowledge, been extensively investigated. The mechanisms of radioresistance have been extensively studied using Deinococcus radiodurans, the most radioresistant organism ever reported, as a model. In this work, we investigated the impact of ultra-small platinum nanoparticles (1.7 nm) on this organism, including uptake, toxicity, and effects on radiation responses. We showed that the nanoparticles penetrate D. radiodurans cells, despite the 150 nm cell wall thickness with a minimal inhibition concentration on the order of 4.8 mg L(-1). We also found that the nanoparticles amplify gamma ray radiation effects by >40%. Finally, this study demonstrates the capacity of metallic nanoparticles to amplify radiation in radioresistant organisms, thus opening the perspective to use nanoparticles not only to improve tumour targeting but also to overcome radioresistance.

  11. Bacterial mechanisms to overcome inhibitory effects of dietary tannins.

    Science.gov (United States)

    Smith, Alexandra H; Zoetendal, Erwin; Mackie, Roderick I

    2005-08-01

    High concentrations of tannins in fodder plants inhibit gastrointestinal bacteria and reduce ruminant performance. Increasing the proportion of tannin-resistant bacteria in the rumen protects ruminants from anti-nutritional effects. The reason for the protective effect is unclear, but could be elucidated if the mechanism(s) by which tannins inhibit bacteria and the mechanisms of tannin resistance were understood. A review of the literature indicates that the ability of tannins to complex with polymers and minerals is the basis of the inhibitory effect on gastrointestinal bacteria. Mechanisms by which bacteria can overcome inhibition include tannin modification/degradation, dissociation of tannin-substrate complexes, tannin inactivation by high-affinity binders, and membrane modification/repair and metal ion sequestration. Understanding the mechanism of action of tannins and the mechanism(s) bacteria use to overcome the inhibitory effects will allow better management of the rumen ecosystem to reduce the anti-nutritional effects of tannin-rich fodder plants and thereby improve ruminant production.

  12. Engineering Nanomedicines to Overcome Multidrug Resistance in Cancer Therapy.

    Science.gov (United States)

    Beretta, Giovanni L; Cavalieri, Francesca

    2016-01-01

    Drug resistance to conventional antitumor drugs represents one of the major causes of treatment failure in patients affected by tumors. Two main types of drug resistance to anticancer drugs are found in tumors, namely intrinsic resistance, in which tumor cells are inherently resistant to chemotherapy, and acquired resistance, which results from previous drug exposure. Tumor cells resistant to a chemotherapeutic agent become cross-resistant to both similar and structurally unrelated classes of antitumor drugs, a biological mechanism known as multi drug resistance (MDR). Among the strategies considered to overcome MDR, nanovector-mediated drug administration represents an innovative and promising alternative. In this review, we report a number of nanovectors including polymer-drug conjugates, polymeric micelles, nanotubes, LbL nanocapsules, and silica and gold nanoparticles. These systems are designed for the efficient delivery of anthracyclines, vinca alkaloids, taxanes, and others drugs. The development of these nanovectos to specifically overcome MDR and their mechanisms of action are covered and discussed. Finally, we discuss challenges and opportunities for further development of nanodevices-based chemotherapies to circumvent MDR through the design of nanovectors for the delivery of multiple cargoes.

  13. Overcoming Barriers: Adolescents' Experiences Using a Mobile Phone Dietary Assessment App.

    Science.gov (United States)

    Svensson, Åsa; Magnusson, Maria; Larsson, Christel

    2016-07-29

    The use of new technology has the potential to increase participation rates in dietary studies and improve the validity of collected dietary data. However, to evaluate the usability of developed dietary methods, qualitative studies of participants' experiences and perceptions are needed. To explore adolescents' experiences using a newly developed mobile phone dietary assessment app, with a focus on factors that could affect their recording of dietary intake. Focus group interviews were conducted with 75 participants who had used a newly developed mobile phone dietary assessment app in a quantitative evaluation study. The interviews were analyzed using qualitative content analysis and the theoretical framework of Self Determination Theory was applied. The adolescents' use of the mobile phone dietary assessment app was characterized by their struggle to overcome several perceived barriers. Facilitators that helped adolescents complete the method were also identified. Motivation was found to be an important facilitator, and intrinsically motivated participants completed the method because they found it fun to use. The autonomous extrinsically motivated participants completed the method for the greater good, in order to contribute to the study. The controlled extrinsically motivated participants completed the method to get a reward or avoid punishment. Amotivated participants did not complete the method. More motivated participants were assumed to be more able to overcome barriers and needed less facilitators. Future studies that examine the recording of food intake should include systematic efforts that aim to minimize identified barriers and promote identified facilitators. Further research should specifically aim at studying methods for (and effects of) increasing intrinsic motivation by supporting autonomy, competence, and relatedness among adolescents asked to participate in dietary studies.

  14. Overcoming Barriers: Adolescents’ Experiences Using a Mobile Phone Dietary Assessment App

    Science.gov (United States)

    Svensson, Åsa; Magnusson, Maria

    2016-01-01

    Background The use of new technology has the potential to increase participation rates in dietary studies and improve the validity of collected dietary data. However, to evaluate the usability of developed dietary methods, qualitative studies of participants’ experiences and perceptions are needed. Objective To explore adolescents’ experiences using a newly developed mobile phone dietary assessment app, with a focus on factors that could affect their recording of dietary intake. Methods Focus group interviews were conducted with 75 participants who had used a newly developed mobile phone dietary assessment app in a quantitative evaluation study. The interviews were analyzed using qualitative content analysis and the theoretical framework of Self Determination Theory was applied. Results The adolescents’ use of the mobile phone dietary assessment app was characterized by their struggle to overcome several perceived barriers. Facilitators that helped adolescents complete the method were also identified. Motivation was found to be an important facilitator, and intrinsically motivated participants completed the method because they found it fun to use. The autonomous extrinsically motivated participants completed the method for the greater good, in order to contribute to the study. The controlled extrinsically motivated participants completed the method to get a reward or avoid punishment. Amotivated participants did not complete the method. More motivated participants were assumed to be more able to overcome barriers and needed less facilitators. Conclusions Future studies that examine the recording of food intake should include systematic efforts that aim to minimize identified barriers and promote identified facilitators. Further research should specifically aim at studying methods for (and effects of) increasing intrinsic motivation by supporting autonomy, competence, and relatedness among adolescents asked to participate in dietary studies. PMID:27473462

  15. OVERCOMING THE CULTURAL DIFFERENCES: PARABLE AS A MEANS OF INTERCULTURAL DIALOGUE

    Directory of Open Access Journals (Sweden)

    Tetyana V. Danylova

    2013-09-01

    Full Text Available Purpose. This article attempts to investigate the ways to overcome negative after-effects of intercultural communication. Methodology and theoretical results: To avoid the negative after-effects of intercultural communication caused by the clash of different reality tunnels, it is necessary to go beyond the framework of the specific symbolical territory, which is seen as the only true reality. Expanding the horizons of life, going beyond the boundaries of a personal reality tunnel can be achieved, in particular, by using parables. Acquaintance with parables helps to extend the set of the world perception models and to change the positions of the communication process participants. Parables act as intermediaries between people of different cultures and mentalities. Owing to its archetypical form, parable becomes one of the most popular narratives illustrating deep and multi-faceted truths that sometimes cannot be expressed by any other way. Parable serves as an open and flexible model of the world and a model of an individual "I self". This model helps people to constitute themselves as a part of their world. Parable requires to reject its interpretation in the oppositions inherent in a given culture and to reconsider the very way of understanding. Rejection of the oppositions provides the possibility of perceiving the world as integrity, unity in diversity, helps to overcome one-sided picture of the inner world of a man and his life in society. Understanding of a parable works towards changing personal position, and human creative nature is actualized. Conclusion: Parables uniquely reflect the real world and contribute to personal understanding of reality. Parables are successfully transplanted into different cultures operating as heritage of a culture-recipient and as a connecting link, which optimizes an intercultural dialogue.

  16. Pattern formation in a two-component reaction-diffusion system with delayed processes on a network

    Science.gov (United States)

    Petit, Julien; Asllani, Malbor; Fanelli, Duccio; Lauwens, Ben; Carletti, Timoteo

    2016-11-01

    Reaction-diffusion systems with time-delay defined on complex networks have been studied in the framework of the emergence of Turing instabilities. The use of the Lambert W-function allowed us to get explicit analytic conditions for the onset of patterns as a function of the main involved parameters, the time-delay, the network topology and the diffusion coefficients. Depending on these parameters, the analysis predicts whether the system will evolve towards a stationary Turing pattern or rather to a wave pattern associated to a Hopf bifurcation. The possible outcomes of the linear analysis overcome the respective limitations of the single-species case with delay, and that of the classical activator-inhibitor variant without delay. Numerical results gained from the Mimura-Murray model support the theoretical approach.

  17. Learning Networks, Networked Learning

    NARCIS (Netherlands)

    Sloep, Peter; Berlanga, Adriana

    2010-01-01

    Sloep, P. B., & Berlanga, A. J. (2011). Learning Networks, Networked Learning [Redes de Aprendizaje, Aprendizaje en Red]. Comunicar, XIX(37), 55-63. Retrieved from http://dx.doi.org/10.3916/C37-2011-02-05

  18. A atenção psicossocial em saúde mental: contribuição teórica para o trabalho terapêutico em rede social Psychosocial mental health attention: theoretical contribution for a network therapeutic approach

    Directory of Open Access Journals (Sweden)

    Nilson Gomes Vieira Filho

    2004-08-01

    Mental Health Center (CAPS for this specialty and a PSF (Health Family Program for a generalist health approach. The therapeutic network in the first micro-organization would function into an institutional system articulated and in solidarity with health organizations and also inserted in public policies programs that intend not to abandon the patient. The focus in this study is a process of deconstruction of the total institutions in mental health that forms a traditional circuit centered in the psychiatric hospital and a construction of a new mental health system that could function according to an autopoietic institutional dynamics. This situation could facilitated dialogical mediations in therapeutic relations and between the interventions connected with other institutions and could contribute for the social insertion of the user. Consequently, the psychotherapy practiced at the CAPS could include the possibilities of setting variations and network interventions in the significant social network of the patient, if necessary. It is concluded that there would be, in many cases, a dichotomy between this theorization and the practice in mental health in the SUS. It is recommended that the necessary steps should be taken in professional practices and public policies programs in order to overcome this dichotomy and qualify the mental health interventions.

  19. MIPv6 Experimental Evaluation using Overlay Networks

    OpenAIRE

    Soto, Ignacio; Vidales, Pablo; Carlos J. Bernardos; Cottingham, David; Baliosian, Javier; Crowcroft, Jon

    2007-01-01

    The commercial deployment of Mobile IPv6 has been hastened by the concepts of Integrated Wireless Networks and Overlay Networks, which are present in the notion of the forthcoming generation of wireless communications. Individual wireless access networks show limitations that can be overcome through the integration of different technologies into a single unified platform (i.e., 4G systems). This paper summarises practical experiments performed to evaluate the impact of inter-ne...

  20. Discovering network structure beyond communities.

    Science.gov (United States)

    Nishikawa, Takashi; Motter, Adilson E

    2011-01-01

    To understand the formation, evolution, and function of complex systems, it is crucial to understand the internal organization of their interaction networks. Partly due to the impossibility of visualizing large complex networks, resolving network structure remains a challenging problem. Here we overcome this difficulty by combining the visual pattern recognition ability of humans with the high processing speed of computers to develop an exploratory method for discovering groups of nodes characterized by common network properties, including but not limited to communities of densely connected nodes. Without any prior information about the nature of the groups, the method simultaneously identifies the number of groups, the group assignment, and the properties that define these groups. The results of applying our method to real networks suggest the possibility that most group structures lurk undiscovered in the fast-growing inventory of social, biological, and technological networks of scientific interest.

  1. Optimizations in Heterogeneous Mobile Networks

    DEFF Research Database (Denmark)

    Popovska Avramova, Andrijana

    Heterogeneous Mobile Networks bring advantages over homogeneous deployments in achieving the demand for mobile network capacity and coverage not just outdoor rural and urban areas, but also to homes and enterprises where the large portion of the mobile traffic is generated. However......, the heterogeneity in the mobile networks bring many challenges that are discusses with this dissertation. More focus is placed on specific issues with indifferent areas of heterogeneity by proposing optimizations in order to overcome the considered problems.The heterogeneity of mobile networks, together...... with the densification of the base stations, bring into a very complex network management and operation control for the mobile operators. Furthermore, the need to provide always best connection and service with high quality demands for a joint overall network resource management. This thesis addresses this challenge...

  2. Internet @ Europe: Overcoming institutional fragmentation and policy failure

    Directory of Open Access Journals (Sweden)

    Raymund Werle

    2001-06-01

    Full Text Available For more than a decade the Internet was confronted with ignorance and resistance in many European countries. National and European technology policies were unfavorable to not invented here technologies and committed to open networks of a different kind. The incumbent network operators in telecommunications, most of them enjoying a monopoly status for a long time, declined tolerating deviant modes of data communication and service provision, which might trigger competition and uncontrollable use of their networks. This situation was not simply a matter of attitudes and beliefs of the managerial and political élite. It was rather an expression of constraints of a traditional institutional setting which had produced industry structures and industrial policy strategies that were not compatible with the Internet. Only recently can we observe changes. Telecoms liberalization in the European Union and the emergence of market competition in this industry coincide with a new Internet policy that recognizes the infrastructural significance of this network for a European information society and the need to involve Internet users in order to exploit the potential of this network.

  3. Internet @ Europe: Overcoming institutional fragmentation and policy failure

    Directory of Open Access Journals (Sweden)

    Raymund Werle

    2001-06-01

    Full Text Available For more than a decade the Internet was confronted with ignorance and resistance in many European countries. National and European technology policies were unfavorable to not invented here technologies and committed to open networks of a different kind. The incumbent network operators in telecommunications, most of them enjoying a monopoly status for a long time, declined tolerating deviant modes of data communication and service provision, which might trigger competition and uncontrollable use of their networks. This situation was not simply a matter of attitudes and beliefs of the managerial and political élite. It was rather an expression of constraints of a traditional institutional setting which had produced industry structures and industrial policy strategies that were not compatible with the Internet. Only recently can we observe changes. Telecoms liberalization in the European Union and the emergence of market competition in this industry coincide with a new Internet policy that recognizes the infrastructural significance of this network for a European information society and the need to involve Internet users in order to exploit the potential of this network.

  4. Internet @ Europe: Overcoming institutional fragmentation and policy failure

    Directory of Open Access Journals (Sweden)

    Raymund Werle

    2001-06-01

    Full Text Available For more than a decade the Internet was confronted with ignorance and resistance in many European countries. National and European technology policies were unfavorable to “not invented here” technologies and committed to “open networks” of a different kind. The incumbent network operators in telecommunications, most of them enjoying a monopoly status for a long time, declined tolerating deviant modes of data communication and service provision, which might trigger competition and uncontrollable use of their networks. This situation was not simply a matter of attitudes and beliefs of the managerial and political élite. It was rather an expression of constraints of a traditional institutional setting which had produced industry structures and industrial policy strategies that were not compatible with the Internet. Only recently can we observe changes. Telecoms liberalization in the European Union and the emergence of market competition in this industry coincide with a new Internet policy that recognizes the infrastructural significance of this network for a European information society and the need to involve Internet users in order to exploit the potential of this network.

  5. Overcoming the Challenges of siRNA Delivery: Nanoparticle Strategies.

    Science.gov (United States)

    Shajari, Neda; Mansoori, Behzad; Davudian, Sadaf; Mohammadi, Ali; Baradaran, Behzad

    2017-01-01

    Despite therapeutics based on siRNA have an immense potential for the treatment of incurable diseases such as cancers. However, the in vivo utilization of siRNA and also the delivery of this agent to the target site is one of the most controversial challenges. The helpful assistance by nanoparticles can improve stable delivery and also enhance efficacy. More nanoparticle-based siRNA therapeutics is expected to become available in the near future. The search strategy followed the guidelines of the Centre of Reviews and Dissemination. The studies were identified from seven databases (Scopus, Web of Science, Academic Search Premiere, CINAHL, Medline Ovid, Eric and Cochrane Library). Studies was selected based on titles, abstracts and full texts. One hundred twenty nine papers were included in the review. These papers defined hurdles in RNAi delivery and also strategies to overcome these hurdles. This review discussed the existing hurdles for systemic administration of siRNA as therapeutic agents and highlights the various strategies to overcome these hurdles, including lipid-based nanoparticles and polymeric nanoparticles, and we also briefly reviewed chemical modification. Delivery of siRNA to the target site is the biggest challenge for its application in the clinic. The findings of this review confirmed by encapsulation siRNA in the nanoparticles can overcome these challenges. The rapid progress in nanotechnology has enabled the development of effective nanoparticles as the carrier for siRNA delivery. However, our data about siRNA-based therapeutics and also nanomedicine are still limited. More clinical data needs to be completely understood in the benefits and drawbacks of siRNA-based therapeutics. Prospective studies must pay attention to the in vivo safety profiles of the different delivery systems, including uninvited immune system stimulation and cytotoxicity. In essence, the development of nontoxic, biocompatible, and biodegradable delivery systems for

  6. The Photograph as Network

    DEFF Research Database (Denmark)

    Wiegand, Frauke Katharina

    2017-01-01

    tool for reading the net-work of images. The case is two visitor snapshots at the photographic exhibition, ‘The Story of Soweto’, in the famous Regina Mundi Church in Soweto, South Africa. I demonstrate that, when slightly adjusted for research engaging with visual materials, Latourian concepts......Inspired by actor-network theory (ANT), this article develops a theoretical framework to grasp the dynamic visual work of memory. It introduces three sensitizing concepts of actor-network methodology, namely entanglement, relationality and traceability, and operationalizes them in a methodological...

  7. Multilayer Social Networks

    DEFF Research Database (Denmark)

    Dickison, Mark; Magnani, Matteo; Rossi, Luca

    social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various...... research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer...

  8. Self-organizing networks

    DEFF Research Database (Denmark)

    Marchetti, Nicola; Prasad, Neeli R.; Johansson, Johan

    2010-01-01

    In this paper, a general overview of Self-Organizing Networks (SON), and the rationale and state-of-the-art of wireless SON are first presented. The technical and business requirements are then briefly treated, and the research challenges within the field of SON are highlighted. Thereafter......, the relation between SON and Cognitive Networks (CN) is covered. At last, the application of Algorithmic Information Theory (AIT) as a possible theoretical tool to support SON in addressing the growing complexity of networks is discussed....

  9. Networks and Transaction Costs

    OpenAIRE

    Henning, Christian; Henningsen, Geraldine; Henningsen, Arne

    2011-01-01

    Based on the well-known fact that social networks can provide effective mechanisms that help to increase the trust level between two trade partners, we apply a simple game-theoretical framework to derive transaction costs as a high risk of opportunistic behavior in a repeated trade relation determined by the density and size of trading networks. In the empirical part of the paper we apply a two stage procedure to estimate the impact of social network structures on farm’s transaction costs obs...

  10. Theoretical Systematization of Research Competence

    National Research Council Canada - National Science Library

    Odiel Estrada Molina

    2014-01-01

    .... The objective of this paper is to prepare a theoretical systematization of the years 1999-2013 using the existing research projects regarding the acquisition and development of research competence...

  11. Theoretical Foundations of Learning Communities

    Science.gov (United States)

    Jessup-Anger, Jody E.

    2015-01-01

    This chapter describes the historical and contemporary theoretical underpinnings of learning communities and argues that there is a need for more complex models in conceptualizing and assessing their effectiveness.

  12. Modeling semiflexible polymer networks

    NARCIS (Netherlands)

    Broedersz, C.P.; MacKintosh, F.C.

    2014-01-01

    This is an overview of theoretical approaches to semiflexible polymers and their networks. Such semiflexible polymers have large bending rigidities that can compete with the entropic tendency of a chain to crumple up into a random coil. Many studies on semiflexible polymers and their assemblies have

  13. Accessibility in complex networks

    Science.gov (United States)

    Travençolo, B. A. N.; da F. Costa, L.

    2008-12-01

    This Letter describes a method for the quantification of the diversity of non-linear dynamics in complex networks as a consequence of self-avoiding random walks. The methodology is analyzed in the context of theoretical models and illustrated with respect to the characterization of the accessibility in urban streets.

  14. The Endogenous Feedback Network

    DEFF Research Database (Denmark)

    Augustenborg, Claudia Carrara

    2010-01-01

    proposals, it will first be considered the extents of their reciprocal compatibility, tentatively shaping an integrated, theoretical profile of consciousness. A new theory, the Endogenous Feedback Network (EFN) will consequently be introduced which, beside being able to accommodate the main tenets...

  15. MIMO Communication for Cellular Networks

    CERN Document Server

    Huang, Howard; Venkatesan, Sivarama

    2012-01-01

    As the theoretical foundations of multiple-antenna techniques evolve and as these multiple-input multiple-output (MIMO) techniques become essential for providing high data rates in wireless systems, there is a growing need to understand the performance limits of MIMO in practical networks. To address this need, MIMO Communication for Cellular Networks presents a systematic description of MIMO technology classes and a framework for MIMO system design that takes into account the essential physical-layer features of practical cellular networks. In contrast to works that focus on the theoretical performance of abstract MIMO channels, MIMO Communication for Cellular Networks emphasizes the practical performance of realistic MIMO systems. A unified set of system simulation results highlights relative performance gains of different MIMO techniques and provides insights into how best to use multiple antennas in cellular networks under various conditions. MIMO Communication for Cellular Networks describes single-user,...

  16. A network of networks.

    Science.gov (United States)

    Iedema, Rick; Verma, Raj; Wutzke, Sonia; Lyons, Nigel; McCaughan, Brian

    2017-04-10

    Purpose To further our insight into the role of networks in health system reform, the purpose of this paper is to investigate how one agency, the NSW Agency for Clinical Innovation (ACI), and the multiple networks and enabling resources that it encompasses, govern, manage and extend the potential of networks for healthcare practice improvement. Design/methodology/approach This is a case study investigation which took place over ten months through the first author's participation in network activities and discussions with the agency's staff about their main objectives, challenges and achievements, and with selected services around the state of New South Wales to understand the agency's implementation and large system transformation activities. Findings The paper demonstrates that ACI accommodates multiple networks whose oversight structures, self-organisation and systems change approaches combined in dynamic ways, effectively yield a diversity of network governances. Further, ACI bears out a paradox of "centralised decentralisation", co-locating agents of innovation with networks of implementation and evaluation expertise. This arrangement strengthens and legitimates the role of the strategic hybrid - the healthcare professional in pursuit of change and improvement, and enhances their influence and impact on the wider system. Research limitations/implications While focussing the case study on one agency only, this study is unique as it highlights inter-network connections. Contributing to the literature on network governance, this paper identifies ACI as a "network of networks" through which resources, expectations and stakeholder dynamics are dynamically and flexibly mediated and enhanced. Practical implications The co-location of and dynamic interaction among clinical networks may create synergies among networks, nurture "strategic hybrids", and enhance the impact of network activities on health system reform. Social implications Network governance requires more

  17. Medical Students' Personal Determinants of Overcoming Strategies in Difficult Situations

    Directory of Open Access Journals (Sweden)

    Veretelnikova Yu.Ya.

    2013-03-01

    Full Text Available Goal of the research was to study conditionality of overcoming strategies in difficult situations of social interaction by personal representations of attitude to others among medical students. Material and methods. 134 first-year students of Saratov State Medical University n.a. V. I. Razumovsky took part in the comparative diagnostic study. Results. Comparison of average indices of various strategies evidence in coping behaviour allowed revealing statistically significant dependence of coping behaviour modi in difficult situations of social interaction upon types of personal representations of attitude toward others and gender features of forming effective strategies of coping behaviour among medical students. Conclusion. Correlation between coping behaviour modi in difficult situations of social interaction and typology of personal representations of attitudes toward others among medical students was marked.

  18. Overcoming the wall in the semiclassical baker's map

    CERN Document Server

    Kaplan, L

    1996-01-01

    A major barrier in semiclassical calculations is the sheer number of terms that contribute as time increases; for classically chaotic dynamics, the proliferation is exponential. We have been able to overcome this ``exponential wall'' for the baker's map, using an analogy with spin-chain partition functions. The semiclassical sum is contracted so that only of order N T^(3/2) operations are needed for an N-state system evolved for T time steps. This is typically less than the computational load for quantum propagation, T N^2. This method enables us to obtain semiclassical results up to the Heisenberg time, which in our example would have required 10^90 terms if we were to evaluate the sum exactly. This calculation in turn provides new insight as to the accuracy of the semiclassical approximation at long times. The semiclassical result is often correct; its breakdown is nonuniform.

  19. Overcoming tumor resistance by heterologous adeno-poxvirus combination therapy

    Directory of Open Access Journals (Sweden)

    Markus Vähä-Koskela

    2014-01-01

    Full Text Available Successful cancer control relies on overcoming resistance to cell death and on activation of host antitumor immunity. Oncolytic viruses are particularly attractive in this regard, as they lyse infected tumor cells and trigger robust immune responses during the infection. However, repeated injections of the same virus promote antiviral rather than antitumor immunity and tumors may mount innate antiviral defenses to restrict oncolytic virus replication. In this article, we have explored if alternating the therapy virus could circumvent these problems. We demonstrate in two virus-resistant animal models a substantial delay in antiviral immune- and innate cellular response induction by alternating injections of two immunologically distinct oncolytic viruses, adenovirus, and vaccinia virus. Our results are in support of clinical development of heterologous adeno-/vaccinia virus therapy of cancer.

  20. Overcoming Gender Stereotypes & Improving Learning through the Participation of the

    Directory of Open Access Journals (Sweden)

    Carme Garcia

    2012-02-01

    Full Text Available This article presents the results of research on how the daily participation of the "Other Women" women without an academic background or from cultural and ethnic minorities contributes to overcoming sexist stereotypes. The study demonstrates that their participation in instrumental learning activities transforms stereotypical beliefs about the skills of women without academic education, immigrant women, or those from cultural minorities. It can also be observed that their participation in decision-making spaces and in learning activities promotes student learning. In short, this study demonstrates that we need to include the "Other Women" into our diverse schools to progress towards the achievement of gender equity in education and society, and to create more positive learning experiences for all children.

  1. Developing a patient education program: overcoming physician resistance.

    Science.gov (United States)

    Morris, D B

    1998-01-01

    Scientific expertise in the management of diabetes was an important factor in overcoming physician resistance to the education program. Nurses have expertise, and their expertise must be acknowledged for them to be viewed as leaders. Not only are nurses responsible for sharing their expertise with other nurses, it is equally important for them to share their expertise with the physicians, who may appreciate receiving any information that can help them improve their patients' outcomes. The components that are essential for success in pioneering a new program are good listening skills, a willingness to cooperate, self-confidence, scientific knowledge, vigilance, determination, and a clear vision. Patient outcomes will improve when nurses use their scientific knowledge base and leadership skills through patient-centered nursing practice, planned change strategies, and advanced practice nursing.

  2. Bacterial resistance to silver nanoparticles and how to overcome it.

    Science.gov (United States)

    Panáček, Aleš; Kvítek, Libor; Smékalová, Monika; Večeřová, Renata; Kolář, Milan; Röderová, Magdalena; Dyčka, Filip; Šebela, Marek; Prucek, Robert; Tomanec, Ondřej; Zbořil, Radek

    2018-01-01

    Silver nanoparticles have already been successfully applied in various biomedical and antimicrobial technologies and products used in everyday life. Although bacterial resistance to antibiotics has been extensively discussed in the literature, the possible development of resistance to silver nanoparticles has not been fully explored. We report that the Gram-negative bacteria Escherichia coli 013, Pseudomonas aeruginosa CCM 3955 and E. coli CCM 3954 can develop resistance to silver nanoparticles after repeated exposure. The resistance stems from the production of the adhesive flagellum protein flagellin, which triggers the aggregation of the nanoparticles. This resistance evolves without any genetic changes; only phenotypic change is needed to reduce the nanoparticles' colloidal stability and thus eliminate their antibacterial activity. The resistance mechanism cannot be overcome by additional stabilization of silver nanoparticles using surfactants or polymers. It is, however, strongly suppressed by inhibiting flagellin production with pomegranate rind extract.

  3. Overcoming nucleoside analog chemoresistance of pancreatic cancer: A therapeutic challenge

    Science.gov (United States)

    Hung, Sau Wai; Mody, Hardik R.; Govindarajan, Rajgopal

    2013-01-01

    Clinical refractoriness to nucleoside analogs (e.g., gemcitabine, capecitabine) is a major scientific problem and is one of the main reasons underlying the extremely poor prognostic state of pancreatic cancer. The drugs’ effects are suboptimal partly due to cellular mechanisms limiting their transport, activation, and overall efficacy. Nonetheless, novel therapeutic approaches are presently under study to circumvent nucleoside analog resistance in pancreatic cancer. With these new approaches come additional challenges to be addressed. This review describes the determinants of chemoresistance in the gemcitabine cytotoxicity pathways, provides an overview of investigational approaches for overcoming chemoresistance, and discusses new challenges presented. Understanding the future directions of the field may assist in the successful development of novel treatment strategies for enhancing chemotherapeutic efficacy in pancreatic cancer. PMID:22425961

  4. Overcoming Design Fixation Through Education and Creativity Methods

    DEFF Research Database (Denmark)

    Howard, Thomas J.; Maier, Anja; Onarheim, Balder

    2013-01-01

    This paper reports an experiment on the topic design fixation using 12 teams of masters students working on three design problems from (Jansson and Smith 1991). The objective of the experiment is to determine the effectiveness of two interventions to help overcome fixation on example solutions....... The first intervention consisted of educating each team on the phenomena and effects of design fixation. The results showed that this intervention reduced the number of fixation elements in comparison to the control group (p=0.025). The second intervention involved using Dix et als' (2006) 'Bad Ideas...... of ideas produced per group and the groups' fixation ratios, adding to the quantity breads novelty debate. Finally, the study also provided further evidence of the hypothesis by Agogué et al (2011) that example solutions constructed from restrictive partitions have a greater fixation affect....

  5. Overcoming Path Dependency and “Lock-In”

    DEFF Research Database (Denmark)

    Soyer, Ayberk; Onar, Sezi Çevik; Sanchez, Ron

    2017-01-01

    Competence-Based Management (CBM) theory and research suggest that a firm’s competence building and leveraging processes are key factors influencing its competitive success. To achieve sustained competitive success, a firm’s competence building processes must continuously renew and extend...... the competences a firm has and can leverage. However, the ability of a firm to sustain strategically adequate levels of competence building – while also maintaining strategically successful competence leveraging – may be limited by various self-reinforcing managerial and organizational mechanisms that can arise...... competences at a strategically adequate level and eventually in competitive failure. In order to avoid such consequences, the management literature suggests that organizations must cultivate dynamic capabilities to overcome tendencies toward lock-in and to sustain ongoing competence building. This study...

  6. Psychological Support for Overcoming the Consequences of Aggressive Behavior

    Directory of Open Access Journals (Sweden)

    Ivanov S.

    2018-01-01

    Full Text Available This article describes the meaning of the terms „aggression“, „aggressive“ and „aggressive behavior“. It specifies the nature and basic principles of psychological counseling. It aims to present techniques and best practices for overcoming the consequences of aggressive behavior. It describes a number intervention methods such as separation of the role functions from the personal reactions; progressive muscle relaxation, pragmatism to the manifestations of undesirable behavior, breathing techniques, visualization of positive images, method of biological feedback, meditation, neuro-linguistic programming, realistic approach to events, situations and persons involved in them, clear definition of their capabilities and competencies. These ways of influence are illustrated by describing two specific cases. They are suitable for both individual and group counseling. An examination of the symptoms and consequences of the aggressive behavior provides essential information on the experiences of the counselor’s clients as well as their relationship to the past, present and future.

  7. Bacterial resistance to silver nanoparticles and how to overcome it

    Science.gov (United States)

    Panáček, Aleš; Kvítek, Libor; Smékalová, Monika; Večeřová, Renata; Kolář, Milan; Röderová, Magdalena; Dyčka, Filip; Šebela, Marek; Prucek, Robert; Tomanec, Ondřej; Zbořil, Radek

    2018-01-01

    Silver nanoparticles have already been successfully applied in various biomedical and antimicrobial technologies and products used in everyday life. Although bacterial resistance to antibiotics has been extensively discussed in the literature, the possible development of resistance to silver nanoparticles has not been fully explored. We report that the Gram-negative bacteria Escherichia coli 013, Pseudomonas aeruginosa CCM 3955 and E. coli CCM 3954 can develop resistance to silver nanoparticles after repeated exposure. The resistance stems from the production of the adhesive flagellum protein flagellin, which triggers the aggregation of the nanoparticles. This resistance evolves without any genetic changes; only phenotypic change is needed to reduce the nanoparticles' colloidal stability and thus eliminate their antibacterial activity. The resistance mechanism cannot be overcome by additional stabilization of silver nanoparticles using surfactants or polymers. It is, however, strongly suppressed by inhibiting flagellin production with pomegranate rind extract.

  8. Genecialist manifesto: overcoming the “class struggle” in medicine

    Directory of Open Access Journals (Sweden)

    Iwata K

    2013-04-01

    Full Text Available Kentaro Iwata Division of Infectious Diseases, Kobe University Hospital, Kobe, Hyogo, Japan Abstract: Generalists and specialists are often considered two completely distinct species, which culminates in the establishment of a concept of dichotomy. However, these dichotomy can at times fuel tension and even erupt into open conflict. In order to resolve this issue, the author herein proposes the concept of a “genecialist.” The genecialist refers to a hybrid comprising elements inherent to both generalists and specialists. This potentially overcomes the multitude of issues associated with both generalists and specialists in the practical aspects of medicine. The coalescence of these two contrarieties may hold the key to improving the future of health care. Mediating and integrating both categories into one consolidated entity carries the potential to stem the tide of class warfare between generalists and specialists. Keywords: genecialist, aufheben, generalist, specialist, asymmetry

  9. 'Hidden poverty' of teachers: Status, consequences and overcoming strategies

    Directory of Open Access Journals (Sweden)

    Bogunović Blanka

    2008-01-01

    Full Text Available The consequences of reduced financial and other possibilities in the period of social transition are reflected on the quality of life and work of teachers, and thereby indirectly on education of pupils as well. Aims: (1 to determine teachers' estimation of their own financial status and subjective perception of teachers' poverty; (2 to examine in which way the personal perception of poverty of teachers is linked with the quality of their engagement in curricular and extracurricular activities; (3 to examine which economic and psychological strategies teachers use in overcoming stress because of the lower financial status; (4 to examine whether there are differences between teachers with regard to socio-demographic variables and the previously established goals. Sample consists of 141 teachers of music and general education schools in Belgrade and the interior of the country. Method: research is explorative and uses qualitative and psychometric methods of analysis. Results point out to the structure of 'hidden poverty' of teachers: average and poor financial status, financial and logistic support of the extended family, additional job, unfulfilled financial expectations regarding the educational status and ungratified higher needs. Teachers estimate that real poverty of educational system and 'hidden poverty' of teachers are reflected on the quality of certain aspects of educational process as a whole and in certain elements: teacher's personal life and work motivation, authority in school, quality of teacher's engagement in tuition and the possibility of professional specialization. Teachers use financial and psychological strategies for overcoming stress that can be determined as: moralist compensatory, evasive, inappropriate, emotional, relying on family and friendly supportive systems and activist. Conclusion: primarily subjective and spiritual impoverishment of the stratum of highly educated people, who are, in addition to this, the bearers

  10. Mental health care for irregular migrants in Europe: Barriers and how they are overcome

    Directory of Open Access Journals (Sweden)

    Straßmayr Christa

    2012-05-01

    Full Text Available Abstract Background Irregular migrants (IMs are exposed to a wide range of risk factors for developing mental health problems. However, little is known about whether and how they receive mental health care across European countries. The aims of this study were (1 to identify barriers to mental health care for IMs, and (2 to explore ways by which these barriers are overcome in practice. Methods Data from semi-structured interviews with 25 experts in the field of mental health care for IMs in the capital cities of 14 European countries were analysed using thematic analysis. Results Experts reported a range of barriers to mental health care for IMs. These include the absence of legal entitlements to health care in some countries or a lack of awareness of such entitlements, administrative obstacles, a shortage of culturally sensitive care, the complexity of the social needs of IMs, and their fear of being reported and deported. These barriers can be partly overcome by networks of committed professionals and supportive services. NGOs have become important initial points of contact for IMs, providing mental health care themselves or referring IMs to other suitable services. However, these services are often confronted with the ethical dilemma of either acting according to the legislation and institutional rules or providing care for humanitarian reasons, which involves the risk of acting illegally and providing care without authorisation. Conclusions Even in countries where access to health care is legally possible for IMs, various other barriers remain. Some of these are common to all migrants, whilst others are specific for IMs. Attempts at improving mental health care for IMs should consider barriers beyond legal entitlement, including communicating information about entitlement to mental health care professionals and patients, providing culturally sensitive care and ensuring sufficient resources.

  11. Overcoming Barriers to Public Engagement through a Multi-Institution Consortium

    Science.gov (United States)

    Lambert, K. F.; Weiss, M.; Garlick, S.

    2016-12-01

    A growing body of evidence suggests that public engagement with science (PES) can enhance the relevance and impact of science on society. At the same time, advances in our understanding of public engagement suggest that greater skills, resources, and time horizons are often required to create effective programs. Consequently, despite a proliferation of training programs, many scientists still face the challenge of balancing the demands of public engagement with the requirements of their disciplinary research. Novel institutions are emerging that bring together interdisciplinary networks of principle investigators with PES practitioners to overcome barriers to effective and sustained public engagement in the environmental sciences. We will use the Science Policy Exchange (SPE), a consortium housed at the Harvard Forest, Harvard University, to illustrate how PIs and PES practitioners can collaborate to design public engagement processes, conduct policy-relevant scientific syntheses, and implement science communication strategies. Results from two SPE case studies demonstrate how multi-institutional consortia can help scientists overcome barriers such as lack of knowledge of evidence-based PES approaches, limits on time and funding to implement PES projects, and the need to integrate PES activities with research. The case studies also show how SPE strives to achieve credibility, saliency, and legitimacy in different public policy contexts: (1) engagement between scientists and local stakeholders to develop scenarios of landscape change; and (2) engagement between scientists and policy makers to understand the relationship between power plant emission standards, and air quality, human health and ecosystem function. The presentation will conclude with examples of how SPE programs have led to institutional change (staffing and budget), cultural change (attitudes and expectations of senior leaders), and research change (development of research questions, funding proposals

  12. Optical Networks Solutions planning - performances - management

    DEFF Research Database (Denmark)

    Fenger, Christian

    2002-01-01

    are kept optical and not converted into the optical domain. The focus is on the scientific results achieved throughout the Ph.D. period. Five subjects – all increasing the understanding of optical networks – are studied. Static wavelength routed optical networks are studied. Management on terms....... An explicit solution for network blocking probability has been derived, and fixed point equations for alternate routing are derived. Secondly is self similar traffic studied and the effect on optical networks considered. The Synchronous Optical Hierarchy is suggested as a new type of network to overcome...

  13. A distribution network review

    Energy Technology Data Exchange (ETDEWEB)

    Fairbairn, R.J.; Maunder, D.; Kenyon, P.

    1999-07-01

    This report summarises the findings of a study reviewing the distribution network in England, Scotland and Wales to evaluate its ability to accommodate more embedded generation from both fossil fuel and renewable energy sources. The background to the study is traced, and descriptions of the existing electricity supply system, the licence conditions relating to embedded generation, and the effects of the Review of Electricity Trading Arrangements are given. The ability of the UK distribution networks to accept embedded generation is examined, and technical benefits/drawbacks arising from embedded generation, and the potential for uptake of embedded generation technologies are considered. The distribution network capacity and the potential uptake of embedded generation are compared, and possible solutions to overcome obstacles are suggested. (UK)

  14. OVERCOMING THE ANTINOMIES OF HUMAN EXISTENCE: ONTOLOGY OF TRICKSTER

    OpenAIRE

    T. V. Danylova

    2014-01-01

    Purpose. This paper aims to study the ontological status of a trickster character in “Panchatantra” and its receptions. Methodology. The author has used analytical methodology of C. Levi-Strauss, C. Jung’s theory of archetypes, and hermeneutical methodology. Theoretical basis and results. Perception of the world in the form of a narrative is inherent in the very specifics of the human thinking. Among the most famous literary narratives that structured cultural experience of different nations ...

  15. Overcoming Intermediary Bias Through the Use of Social Media Intelligence

    Science.gov (United States)

    2015-05-23

    17 Christen Knudsen and Hardimos Tsoukas, The Oxford Handbook of Organizational Theory: Meta-Theoretical Perspectives (New York: Oxford...A Balance of Interests,” The Oxford Handbook of Modern Diplomacy (New York: Oxford University Press, 2013), 2. 26 meta-agent. One of the...Shreyansh P. Bhatt, Hemant Purohit, Andrew Hampton, Valerie Shalin, Amit Sheth, and John Flach, "Assisting Coordination During Crisis: A Domain Ontology

  16. 38 CFR 17.152 - Devices to assist in overcoming the handicap of deafness.

    Science.gov (United States)

    2010-07-01

    ... 38 Pensions, Bonuses, and Veterans' Relief 1 2010-07-01 2010-07-01 false Devices to assist in overcoming the handicap of deafness. 17.152 Section 17.152 Pensions, Bonuses, and Veterans' Relief DEPARTMENT... in overcoming the handicap of deafness. Devices for assisting in overcoming the handicap of deafness...

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

    Science.gov (United States)

    Bowers, Clint; Kreutzer, Christine; Cannon-Bowers, Janis; Lamb, Jerry

    2017-01-01

    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. PMID:28861013

  18. A quantum theoretical approach to information processing in neural networks

    Science.gov (United States)

    Barahona da Fonseca, José; Barahona da Fonseca, Isabel; Suarez Araujo, Carmen Paz; Simões da Fonseca, José

    2000-05-01

    A reinterpretation of experimental data on learning was used to formulate a law on data acquisition similar to the Hamiltonian of a mechanical system. A matrix of costs in decision making specifies values attributable to a barrier that opposed to hypothesis formation about decision making. The interpretation of the encoding costs as frequencies of oscillatory phenomena leads to a quantum paradigm based in the models of photoelectric effect as well as of a particle against a potential barrier. Cognitive processes are envisaged as complex phenomena represented by structures linked by valence bounds. This metaphor is used to find some prerequisites to certain types of conscious experience as well as to find an explanation for some pathological distortions of cognitive operations as they are represented in the context of the isolobal model. Those quantum phenomena are understood as representing an analogue programming for specific special purpose computations. The formation of complex chemical structures within the context of isolobal theory is understood as an analog quantum paradigm for complex cognitive computations.

  19. Game Theoretic Solutions to Cyber Attack and Network Defense Problems

    Science.gov (United States)

    2007-06-01

    his co- workers. INformation Fusion Engine for Real-time Decision-making (INFERD) [4] and [5] efficiently correlates IDS alerts to identify individual...kj j jk j φ= ∑ = % % (8) ( )( ( ), ; ) ( ), ( ), ( ); 1 WMW W W W W W WV s k u k s k u k W k

  20. The Use of Artificial Neural Networks in the Theoretical Investigation ...

    African Journals Online (AJOL)

    ANN) based fault diagnostic system (FDS) for the location of fault on transmission lines. The principal functions of this diagnostic system are: detection of fault occurrence, identification of faulted sections and classification of faults into types.

  1. A theoretical design for learning model addressing the networked society

    DEFF Research Database (Denmark)

    Levinsen, Karin; Nielsen, Janni; Sørensen, Birgitte Holm

    2010-01-01

    of their collaboration and students are required to document their choices, deselections, decisions and arguments and reflect on their learning process during the role-play. In the final paragraph we discuss our experimental work with the Design for Learning Model. We argue that our model gives birth to scaffolding...

  2. Biological and Theoretical Studies of Adaptive Networks: The Conditioned Response.

    Science.gov (United States)

    1992-06-30

    suggest experimental tests and provide direction for physiological studies. 14 SU~la TIPO ~IS- NIJUMS Of PAGIS 17. @1d-ftA ITY CLASSIPtCATICON...sessions of CI retraining, we allowed enough 60 Hz shock , at an interstimulus interval of 500 ins. The post-operative retraining for recovery of...followed 200 msec later by the US, giving a nominal CS-US interval of 350 msec. The US was a mild eye shock , and the CR was extension of the

  3. Phylogeny of metabolic networks: A spectral graph theoretical ...

    Indian Academy of Sciences (India)

    2015-09-29

    Sep 29, 2015 ... influence of horizontal gene transfer in cellular evolution. (Martin et al. 1999 ... process of evolution of organisms that could not be explored by ...... Microbiol. Mol. Biol. Rev. 66 1–20. Vukadinovic D et al. 2002 On the spectrum and structure of internet topology graphs. Innov. Internet Comput. Syst. Lect. Notes.

  4. Game Theoretic, Multi-agent Approach to Network Traffic Monitoring

    Science.gov (United States)

    2012-01-16

    2011), Tumer , Yolum, Sonenberg and Stone (eds.), May, 2-6, 2011, Taipei, Taiwan. – IAT 2011: Martin Rehák, Jan Stiborek and Martin Grill: On the...Innovative Applications Track (AAMAS 2011), Tumer , Yolum, Sonenberg and Stone (eds.), May, 2-6, 2011, Taipei, Taiwan. – IAT 2011: Martin Rehák, Jan...AAMAS 2011), Tumer , Yolum, So- nenberg and Stone (eds.), May, 2–6, 2011, Taipei, Taiwan, pp. XXX-XXX. Copyright c© 2011, International Foundation for

  5. Theoretical Guidelines for the Utilization of Instructional Social Networking Websites

    Science.gov (United States)

    Yakin, Ilker; Tinmaz, Hasan

    2015-01-01

    In the past 10 years, the internet has been transformed, along with the emergence of interaction and communication technologies. Indeed, there has been an emerging movement in the interaction and communication technologies. More specifically, the growth of Web 2.0 technologies has acted as a catalyst for change in the disciplines of education. The…

  6. Breaking Lorentz reciprocity to overcome the time-bandwidth limit in physics and engineering

    Science.gov (United States)

    Tsakmakidis, K. L.; Shen, L.; Schulz, S. A.; Zheng, X.; Upham, J.; Deng, X.; Altug, H.; Vakakis, A. F.; Boyd, R. W.

    2017-06-01

    A century-old tenet in physics and engineering asserts that any type of system, having bandwidth Δω, can interact with a wave over only a constrained time period Δt inversely proportional to the bandwidth (Δt·Δω ~ 2π). This law severely limits the generic capabilities of all types of resonant and wave-guiding systems in photonics, cavity quantum electrodynamics and optomechanics, acoustics, continuum mechanics, and atomic and optical physics but is thought to be completely fundamental, arising from basic Fourier reciprocity. We propose that this “fundamental” limit can be overcome in systems where Lorentz reciprocity is broken. As a system becomes more asymmetric in its transport properties, the degree to which the limit can be surpassed becomes greater. By way of example, we theoretically demonstrate how, in an astutely designed magnetized semiconductor heterostructure, the above limit can be exceeded by orders of magnitude by using realistic material parameters. Our findings revise prevailing paradigms for linear, time-invariant resonant systems, challenging the doctrine that high-quality resonances must invariably be narrowband and providing the possibility of developing devices with unprecedentedly high time-bandwidth performance.

  7. Designing Caregiver-Implemented Shared-Reading Interventions to Overcome Implementation Barriers

    Science.gov (United States)

    Logan, Jessica R.; Damschroder, Laura

    2015-01-01

    Purpose This study presents an application of the theoretical domains framework (TDF; Michie et al., 2005), an integrative framework drawing on behavior-change theories, to speech-language pathology. Methods A multistep procedure was used to identify barriers affecting caregivers' implementation of shared-reading interventions with their children with language impairment (LI). The authors examined caregiver-level data corresponding to implementation issues from two randomized controlled trials and mapped these to domains in the TDF as well as empirically validated behavior-change techniques. Results Four barriers to implementation were identified as potentially affecting caregivers' implementation: time pressures, reading difficulties, discomfort with reading, and lack of awareness of benefits. These were mapped to 3 TDF domains: intentions, beliefs about capabilities, and skills. In turn, 4 behavior-change techniques were identified as potential vehicles for affecting these domains: reward, feedback, model, and encourage. An ongoing study is described that is determining the effects of these techniques for improving caregivers' implementation of a shared-reading intervention. Conclusions A description of the steps to identifying barriers to implementation, in conjunction with an ongoing experiment that will explicitly determine whether behavior-change techniques affect these barriers, provides a model for how implementation science can be used to identify and overcome implementation barriers in the treatment of communication disorders. PMID:26262941

  8. Breaking Lorentz reciprocity to overcome the time-bandwidth limit in physics and engineering.

    Science.gov (United States)

    Tsakmakidis, K L; Shen, L; Schulz, S A; Zheng, X; Upham, J; Deng, X; Altug, H; Vakakis, A F; Boyd, R W

    2017-06-23

    A century-old tenet in physics and engineering asserts that any type of system, having bandwidth Δω, can interact with a wave over only a constrained time period Δ t inversely proportional to the bandwidth (Δ t ·Δω ~ 2π). This law severely limits the generic capabilities of all types of resonant and wave-guiding systems in photonics, cavity quantum electrodynamics and optomechanics, acoustics, continuum mechanics, and atomic and optical physics but is thought to be completely fundamental, arising from basic Fourier reciprocity. We propose that this "fundamental" limit can be overcome in systems where Lorentz reciprocity is broken. As a system becomes more asymmetric in its transport properties, the degree to which the limit can be surpassed becomes greater. By way of example, we theoretically demonstrate how, in an astutely designed magnetized semiconductor heterostructure, the above limit can be exceeded by orders of magnitude by using realistic material parameters. Our findings revise prevailing paradigms for linear, time-invariant resonant systems, challenging the doctrine that high-quality resonances must invariably be narrowband and providing the possibility of developing devices with unprecedentedly high time-bandwidth performance. Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

  9. Overcoming element quality dependence of finite elements with adaptive extended stencil FEM (AES-FEM)

    Science.gov (United States)

    Conley, Rebecca; Delaney, Tristan J.; Jiao, Xiangmin

    2016-11-01

    The finite element methods (FEM) are important techniques in engineering for solving partial differential equations, but they depend heavily on element shape quality for stability and good performance. In this paper, we introduce the Adaptive Extended Stencil Finite Element Method (AES-FEM) as a means for overcoming this dependence on element shape quality. Our method replaces the traditional basis functions with a set of generalized Lagrange polynomial (GLP) basis functions, which we construct using local weighted least-squares approximations. The method preserves the theoretical framework of FEM, and allows imposing essential boundary conditions and integrating the stiffness matrix in the same way as the classical FEM. In addition, AES-FEM can use higher-degree polynomial basis functions than the classical FEM, while virtually preserving the sparsity pattern of the stiffness matrix. We describe the formulation and implementation of AES-FEM, and analyze its consistency and stability. We present numerical experiments in both 2D and 3D for the Poison equation and a time-independent convection-diffusion equation. The numerical results demonstrate that AES-FEM is more accurate than linear FEM, is also more efficient than linear FEM in terms of error versus runtime, and enables much better stability and faster convergence of iterative solvers than linear FEM over poor-quality meshes

  10. Sex offenders and confessions: how to overcome their resistance during questioning.

    Science.gov (United States)

    Gudjonsson, Gisli H

    2006-05-01

    A confession, when properly and fairly obtained, is powerful evidence against a suspect and will generally guarantee a conviction. There are a number of theoretical models that explain why suspects confess to crimes they have committed. In this chapter, the key models and the relevant empirical evidence are discussed. The evidence shows that sex offenders, and particularly child molesters, sometimes have a strong need to talk about their crimes due to the feelings of guilt and this gives the police an advantage. However, sex offenders also find it difficult to be open, honest and complete when interrogated due to the feelings of shame, which act to inhibit their motivation to confess. They are therefore torn between feelings of guilt, which encourages them to confess, and feelings of shame, which inhibit them from confessing. As a consequence, feelings of shame need to be overcome during the interrogation, which means that sex offenders need to be interviewed sensitively and skillfully. Any challenges need to be presented in a 'softly' fashion and with understanding of the perpetrator's perspective and emotional needs.

  11. Super-aperture metrology: overcoming a fundamental limit in imaging smooth highly curved surfaces.

    Science.gov (United States)

    Liu, J; Liu, C; Tan, J; Yang, B; Wilson, T

    2016-03-01

    The imaging of smooth, highly curved or tilted surfaces is widely recognized as one of the most challenging and unsolved problems in optical imaging and metrology today. The reason is that even when such surfaces are imaged using high aperture microscope objectives the steepness of the features causes the light to be reflected in such a way that it is not captured by the lens. This is true even in the limiting case of unity numerical aperture since the illuminating light may also be reflected in the forward direction. In order to overcome this fundamental problem we have developed a method whereby such specimens are covered with a readily removable organic fluorescent film thereby creating an isotropic scattering surface. We show that we are readily able to detect slopes with angles close 90° using a 0.75 NA objective--an 82% improvement over the theoretical aperture limit. Issues of variation in film thickness deposition are shown to be readily accommodated. This approach may be used with other fluorophore materials, organic or inorganic, since there is no need for biocompatibility in this application. © 2015 The Authors Journal of Microscopy © 2015 Royal Microscopical Society.

  12. Overcoming the obstacles: Life stories of scientists with learning disabilities

    Science.gov (United States)

    Force, Crista Marie

    Scientific discovery is at the heart of solving many of the problems facing contemporary society. Scientists are retiring at rates that exceed the numbers of new scientists. Unfortunately, scientific careers still appear to be outside the reach of most individuals with learning disabilities. The purpose of this research was to better understand the methods by which successful learning disabled scientists have overcome the barriers and challenges associated with their learning disabilities in their preparation and performance as scientists. This narrative inquiry involved the researcher writing the life stories of four scientists. These life stories were generated from extensive interviews in which each of the scientists recounted their life histories. The researcher used narrative analysis to "make sense" of these learning disabled scientists' life stories. The narrative analysis required the researcher to identify and describe emergent themes characterizing each scientist's life. A cross-case analysis was then performed to uncover commonalities and differences in the lives of these four individuals. Results of the cross-case analysis revealed that all four scientists had a passion for science that emerged at an early age, which, with strong drive and determination, drove these individuals to succeed in spite of the many obstacles arising from their learning disabilities. The analysis also revealed that these scientists chose careers based on their strengths; they actively sought mentors to guide them in their preparation as scientists; and they developed coping techniques to overcome difficulties and succeed. The cross-case analysis also revealed differences in the degree to which each scientist accepted his or her learning disability. While some demonstrated inferior feelings about their successes as scientists, still other individuals revealed feelings of having superior abilities in areas such as visualization and working with people. These individuals revealed

  13. Global Health and Emergency Care: Overcoming Clinical Research Barriers.

    Science.gov (United States)

    Levine, Adam C; Barry, Meagan A; Agrawal, Pooja; Duber, Herbert C; Chang, Mary P; Mackey, Joy M; Hansoti, Bhakti

    2017-04-01

    There are many barriers impeding the conduct of high-quality emergency care research, particularly in low- and middle-income countries. Several of these barriers were originally outlined in 2013 as part of the Academic Emergency Medicine Global Health and Emergency Care Consensus Conference. This paper seeks to establish a broader consensus on the barriers to emergency care research globally and proposes a comprehensive array of new recommendations to overcome these barriers. An electronic survey was conducted of a purposive sample of global emergency medicine research experts from around the world to describe the major challenges and solutions to conducting emergency care research in low-resource settings and rank them by importance. The Global Emergency Medicine Think Tank Clinical Research Working Group at the Society for Academic Emergency Medicine 2016 Annual Meeting utilized a modified Delphi technique for consensus-based decision making to categorize and expand upon these barriers and develop a comprehensive array of proposed solutions. The working group identified four broad categories of barriers to conducting emergency care research globally, including 1) the limited availability of research personnel, particularly those with prior research training; 2) logistic barriers and lack of standardization of data collection; 3) ethical barriers to conducting research in resource-limited settings, particularly when no local institutional review board is available; and 4) the relative dearth of funding for global emergency care research. Proposed solutions included building a diverse and interdisciplinary research team structured to promote mentorship of junior researchers, utilizing local research assistants or technologic tools such as telemedicine for language translation, making use of new tools such as mobile health (mHealth) to standardize and streamline data collection, identifying alternatives to local institutional review board approval and the use of

  14. Theoretical behaviorism meets embodied cognition : Two theoretical analyses of behavior

    NARCIS (Netherlands)

    Keijzer, F.A.

    2005-01-01

    This paper aims to do three things: First, to provide a review of John Staddon's book Adaptive dynamics: The theoretical analysis of behavior. Second, to compare Staddon's behaviorist view with current ideas on embodied cognition. Third, to use this comparison to explicate some outlines for a

  15. Theoretical mechanics for sixth forms

    CERN Document Server

    Plumpton, C

    1971-01-01

    Theoretical Mechanics for Sixth Forms, Second Edition is a 14-chapter book that begins by elucidating the nature of theoretical mechanics. The book then describes the statics of a particle in illustration of the techniques of handling vector quantities. Subsequent chapters focus on the principle of moments, parallel forces and centers of gravity; and the application of Newton's second law to the dynamics of a particle and the ideas of work and energy, impulse and momentum, and power. The concept of friction is also explained. This volume concludes with chapters concerning motion in a circle an

  16. Theoretical chemistry advances and perspectives

    CERN Document Server

    Eyring, Henry

    1977-01-01

    Theoretical Chemistry: Advances and Perspectives, Volume 2 covers all aspects of theoretical chemistry.This book reviews the techniques that have been proven successful in the study of interatomic potentials in order to describe the interactions between complex molecules. The ground state properties of the interacting electron gas when a magnetic field is present are also elaborated, followed by a discussion on the Gellman-Brueckner-Macke theory of the correlation energy that has applications in atomic and molecular systems.This volume considers the instability of the Hartree-Fock ground state

  17. Mechanics lectures on theoretical physics

    CERN Document Server

    Sommerfeld, Arnold Johannes Wilhelm

    1952-01-01

    Mechanics: Lectures on Theoretical Physics, Volume I covers a general course on theoretical physics. The book discusses the mechanics of a particle; the mechanics of systems; the principle of virtual work; and d'alembert's principle. The text also describes oscillation problems; the kinematics, statics, and dynamics of a rigid body; the theory of relative motion; and the integral variational principles of mechanics. Lagrange's equations for generalized coordinates and the theory of Hamilton are also considered. Physicists, mathematicians, and students taking Physics courses will find the book

  18. Overcoming multicollinearity in multiple regression using correlation coefficient

    Science.gov (United States)

    Zainodin, H. J.; Yap, S. J.

    2013-09-01

    Multicollinearity happens when there are high correlations among independent variables. In this case, it would be difficult to distinguish between the contributions of these independent variables to that of the dependent variable as they may compete to explain much of the similar variance. Besides, the problem of multicollinearity also violates the assumption of multiple regression: that there is no collinearity among the possible independent variables. Thus, an alternative approach is introduced in overcoming the multicollinearity problem in achieving a well represented model eventually. This approach is accomplished by removing the multicollinearity source variables on the basis of the correlation coefficient values based on full correlation matrix. Using the full correlation matrix can facilitate the implementation of Excel function in removing the multicollinearity source variables. It is found that this procedure is easier and time-saving especially when dealing with greater number of independent variables in a model and a large number of all possible models. Hence, in this paper detailed insight of the procedure is shown, compared and implemented.

  19. Overcoming PV grid issues in the urban areas

    Energy Technology Data Exchange (ETDEWEB)

    Ehara, T.

    2009-10-15

    This report for the International Energy Agency (IEA) made by Task 10 of the Photovoltaic Power Systems (PVPS) programme takes a look at grid issues in urban photovoltaic electricity and how to overcome them. The mission of the Photovoltaic Power Systems Programme is to enhance the international collaboration efforts which accelerate the development and deployment of photovoltaic solar energy as a significant and sustainable renewable energy option. The objective of Task 10 is stated as being to enhance the opportunities for wide-scale, solution-oriented application of photovoltaics in the urban environment. The paper discusses the goal of mainstreaming PV systems in the urban environment. In this report, PV grid interconnection issues and countermeasures based on the latest studies are identified and summarised. Appropriate and understandable information is provided for all possible stakeholders. Possible impacts and benefits of PV grid interconnection are identified, technical measures designed to eliminate negative impacts and enhance possible benefits are presented. The status of research and demonstration projects is introduced and the latest outcomes are summarised. Recommendations and conclusions based on the review process are summarised and presented.

  20. Overcoming horizontal depolarizing resonances with multiple tune jumps

    Directory of Open Access Journals (Sweden)

    H. Huang

    2014-08-01

    Full Text Available In a medium energy proton synchrotron, strong enough partial Siberian snakes can be used to avoid both imperfection and vertical intrinsic depolarizing resonances. However, partial snakes tilt the stable spin direction away from vertical, which generates depolarizing resonances associated with horizontal tune. The relatively weak but numerous horizontal intrinsic resonances are the main source of the residual polarization losses. A pair of horizontal tune jump quads have been used in the Brookhaven Alternating Gradient Synchrotron to overcome these weak resonances. The locations of the two quads have to be chosen such that the disturbance to the beam optics is minimum. The emittance growth has to be mitigated for this method to work. In addition, this technique needs very accurate jump timing. Using two partial Siberian snakes, with vertical tune inside the spin tune gap and 80% polarization at the Alternating Gradient Synchrotron injection, polarized proton beam had reached 1.5×10^{11} proton per bunch with 65% polarization. With the tune jump timing optimized and emittance preserved, more than 70% polarization with 2×10^{11} protons per bunch has been achieved. The polarization transport efficiency is close to 90%.

  1. Overcoming recruitment challenges in palliative care clinical trials.

    Science.gov (United States)

    LeBlanc, Thomas W; Lodato, Jordan E; Currow, David C; Abernethy, Amy P

    2013-11-01

    Palliative care is increasingly viewed as a necessary component of cancer care, especially for patients with advanced disease. Rigorous clinical trials are thus needed to build the palliative care evidence base, but clinical research-especially participant recruitment-is difficult. Major barriers include (1) patient factors, (2) "gatekeeping," and (3) ethical concerns. Here we discuss an approach to overcoming these barriers, using the Palliative Care Trial (PCT) as a case study. The PCT was a 2 × 2 × 2 factorial randomized controlled trial (RCT) of different service delivery models to improve pain control in the palliative setting. It used a recruitment protocol that fused evidence-based strategies with principles of "social marketing," an approach involving the systematic application of marketing techniques. Main components included (1) an inclusive triage algorithm, (2) information booklets targeting particular stakeholders, (3) a specialized recruitment nurse, and (4) standardization of wording across all study communications. From an eligible pool of 607 patients, the PCT enrolled 461 patients over 26 months. Twenty percent of patients referred to the palliative care service were enrolled (76% of those eligible after screening). Several common barriers were minimized; among those who declined participation, family disinterest was uncommon (5%), as was the perception of burden imposed (4%). Challenges to clinical trial recruitment in palliative care are significant but not insurmountable. A carefully crafted recruitment and retention protocol can be effective. Our experience with designing and deploying a social-marketing-based protocol shows the benefits of such an approach.

  2. Dormancy overcome and seedling quality of pecan in nursery

    Directory of Open Access Journals (Sweden)

    Tales Poletto

    Full Text Available ABSTRACT: This study evaluated the efficiency of methods to overcome seed dormancy in different storage periods in the production of pecan seedlings. Seeds were submitted to the following treatments: T1, T4 and T7 - control treatments (seeds with no treatment, stored at room temperature for 30, 60 and 90 days, respectively, T2, T5 and T8 - stratification (seeds were distributed in boxes with wet sand maintained at a temperature of 4°C for 30, 60 and 90 days, respectively, T3, T6 and T9 - scarification + stratification (seeds scarified with sandpaper n.80 and stratified by 30, 60 and 90 days, respectively, in completely random experimental design. Plant height, stem diameter, number of leaves, full emergence and emergence speed index (ESI were evaluated after 14 weeks of sowing. The best development of pecan 'plants, their emergence, and ESI were observed in the stratification treatment for 90 day as well as in the scarification + stratification treatment for 90 day. Storing seeds in uncontrolled environment reduced their viability.

  3. Strategies for Overcoming Resistance in Tumours Harboring BRAF Mutations

    Directory of Open Access Journals (Sweden)

    Nourah Mohammad Obaid

    2017-03-01

    Full Text Available The development of resistance to previously effective treatments has been a challenge for health care providers and a fear for patients undergoing cancer therapy. This is an unfortunately frequent occurrence for patients undergoing targeted therapy for tumours harboring the activating V600E mutation of the BRAF gene. Since the initial identification of the BRAF mutation in 2002, a series of small molecular inhibitors that target the BRAFV600E have been developed, but intrinsic and acquired resistance to these drugs has presented an ongoing challenge. More recently, improvements in therapy have been achieved by combining the use of BRAF inhibitors with other drugs, such as inhibitors of the downstream effector mitogen activated protein kinase (MAPK/extracellular-signal regulated kinase (ERK kinase (MEK. Despite improved success in response rates and in delaying resistance using combination therapy, ultimately, the acquisition of resistance remains a concern. Recent research articles have shed light on some of the underlying mechanisms of this resistance and have proposed numerous strategies that might be employed to overcome or avoid resistance to targeted therapies. This review will explore some of the resistance mechanisms, compare what is known in melanoma cancer to colorectal cancer, and discuss strategies under development to manage the development of resistance.

  4. Natural compounds to overcome cancer chemoresistance: toxicological and clinical issues.

    Science.gov (United States)

    Turrini, Eleonora; Ferruzzi, Lorenzo; Fimognari, Carmela

    2014-12-01

    Defects in initiating or executing cell death programs are responsible for cancer chemoresistance. The growing understanding of apoptotic programs suggests that compounds simultaneously inhibiting multiple signaling pathways might provide a better therapeutic outcome than that of individual inhibitors. Natural compounds can modulate different survival pathways, thus enhancing the therapeutic effects of anticancer treatments. This review provides an overview of the preclinical and clinical relevance of chemosensitization, giving special reference to curcumin (CUR) and sulforaphane (SFN) as agents to overcome apoptosis resistance against chemotherapy. Even if CUR and SFN are common dietary constituents, they are characterized by several problems still unresolved and hampering their development as anticancer drugs. For a drug to be safe, it must be devoid of toxicity, and some studies conducted to date raises concern about CUR and SFN safety. Moreover, the efficacy of a drug, alone or in association, is usually determined by randomized, placebo-controlled, double-blind clinical trials. No such trials have shown CUR and SFN to be effective so far. Thus, caution should be exercised when suggesting the use of CUR or SFN for cancer-related therapeutic purpose, especially for very early stage of malignancy, or in patients who are undergoing chemotherapy.

  5. Methods to overcome dormancy in tree tomato (Solanum betaceum seeds

    Directory of Open Access Journals (Sweden)

    Carlos Kosera Neto

    2015-12-01

    Full Text Available The tree tomato (Solanum betaceum is a poorly known species that has fruits with great economic potential, as it can be consumed in natura or industrialized. However, for reaching this potential, it is necessary the development of technologies for seedlings production. The propagation of this species is mainly done by seeds, but the seed germination process is usually slow, especially under stress conditions. This study aimed at verifying whether tree tomato seeds have dormancy and which is the best method to obtain fast and uniform germination. A completely randomized design was adopted in a 5 x 2 factorial arrangement (methods to overcome dormancy x light, with four replications of 50 or 60 seeds, depending on the production cycle. The methods tested were cold stratification, hydropriming, priming with GA3 solution and control, with or without light. Seed germination and germination rate index, as well as the beginning and average time of germination, were also evaluated. The use of GA3 at a concentration of 100 mg L-1 or 300 mg L-1 is recommended to the germination of tree tomato seeds.

  6. Overcoming barriers to integrating economic analysis into risk assessment.

    Science.gov (United States)

    Hoffmann, Sandra

    2011-09-01

    Regulatory risk analysis is designed to provide decisionmakers with a clearer understanding of how policies are likely to affect risk. The systems that produce risk are biological, physical, and social and economic. As a result, risk analysis is an inherently interdisciplinary task. Yet in practice, risk analysis has been interdisciplinary in only limited ways. Risk analysis could provide more accurate assessments of risk if there were better integration of economics and other social sciences into risk assessment itself. This essay examines how discussions about risk analysis policy have influenced the roles of various disciplines in risk analysis. It explores ways in which integrated bio/physical-economic modeling could contribute to more accurate assessments of risk. It reviews examples of the kind of integrated economics-bio/physical modeling that could be used to enhance risk assessment. The essay ends with a discussion of institutional barriers to greater integration of economic modeling into risk assessment and provides suggestions on how these might be overcome. © 2011 Society for Risk Analysis.

  7. Overcoming dormancy in seeds of cotton-silk tree

    Directory of Open Access Journals (Sweden)

    Irinaldo Lima do Nascimento

    2012-06-01

    Full Text Available Cotton-silk tree Ceiba glaziovii (kuntze k. Schu belongs to family Bombacaceas and is locally known as barriguda. It is widely used in landscaping and reforestation, neverdeless seed dormancy affects reproduction in this species. The objective of this study was to evaluate the effectiveness of different methods to overcome dormancy in the germination process. Treatments included mechanical scarification with 85-grit sandpaper, chemical scarification with concentrated sulfuric acid for 5, 10, 15 and 20 minutes, physical scarification with hot water at 60°, 70°, 80°and 90° C for one minute, imbibition in distilled water for 24, 48 and 72 hours, oven heating at 65° C for 1, 2, 3 and 4 hours, and a control treatment. Each treatment included four replicates of 25 seeds, using a completely randomized experimental design, and means were compared by the Scott-Knott test at the 5% probability level. Assessed parameters included emergence percentage, emergence rate index, dry matter and length of plants. The most recommended treatments were mechanical scarification, immersion in sulfuric acid for 5, 10 and 15 minutes and immersion in distilled water for 48 hours.

  8. Overcoming the Obstacle of Poor Knowledge in Proving Geometry Tasks

    Directory of Open Access Journals (Sweden)

    Zlatan Magajna

    2013-12-01

    Full Text Available Proving in school geometry is not just about validating the truth of a claim. In the school setting, the main function of the proof is to convince someone that a claim is true by providing an explanation. Students consider proving to be difficult; in fact, they find the very concept of proof demanding. Proving a claim in planar geometry involves several processes, the most salient being visual observation and deductive argumentation. These two processes are interwoven, but often poor observation hinders deductive argumentation. In the present article, we consider the possibility of overcoming the obstacle of a student’s poor observation by making use of computer-aided observation with appropriate software. We present the results of two small-scale research projects, both of which indicate that students are able to work out considerably more deductions if computer-aided observation is used. Not all students use computer-aided observation effectively in proving tasks: some find an exhaustive computer-provided list of properties confusing and are not able to choose the properties that are relevant to the task.

  9. Overcoming docetaxel resistance in prostate cancer: a perspective review

    Science.gov (United States)

    2012-01-01

    The treatment of metastatic castrate-resistant prostate cancer has been historically challenging, with few therapeutic successes. Docetaxel was the first cytotoxic therapy associated with a survival benefit in castrate-resistant prostate cancer. Toxicity is typical of other cytotoxic agents, with myelosuppression being the dose-limiting toxicity and neurotoxicity also a notable side effect for some patients. Unfortunately, a significant proportion of men with castrate-resistant prostate cancer will not respond to docetaxel-based therapy and all patients will ultimately develop resistance. Because it is an effective therapy, docetaxel is likely to remain an important part of the treatment arsenal against metastatic prostate cancer for the foreseeable future, despite its toxicities and limitations. Overcoming docetaxel resistance has been a challenge since docetaxel was first established as front-line therapy for metastatic castrate-resistant prostate cancer. Recent studies have shown that several new drugs, including cabazitaxel and abiraterone, are effective after docetaxel failure, dramatically changing the therapeutic landscape for these patients. In addition, a greater understanding of the mechanisms underlying docetaxel resistance has led to several new treatment approaches which hold promise for the future. This review will discuss recent therapeutic advances in metastatic castrate-resistant prostate cancer as well as ongoing clinical trials. PMID:23118808

  10. Overcoming the Social Stigma on Mood Disorders with Dancing.

    Science.gov (United States)

    Tavormina, Romina; Tavormina, Maurilio Giuseppe Maria

    2017-09-01

    In our society, the social stigma against people who suffer from mood disorders is a very powerful factor that negatively affects the healing of patient. He is often isolated from the others for the fear of being judged "fool, crazy or dangerous" or discriminated and emarginated for his mental health problem. For this reason, a cornerstone of mood disorder rehabilitation is the bringing out of the patient from his isolation, the reintegration of the user in the social context with the increase and the improvement in the quality of interpersonal relationships in the family and in the external context. The method used in our project is the dance-therapy one. In particular dancing the "Bachata" becomes a rehabilitation tool to express emotions through the body and to open to the world, on the territory, overcoming the fear of being judged by others, and of the prejudice and the social stigma about mental illness. The strength and cohesion of the rehabilitation group has given to the patients the opportunity to believe in their own abilities, to accept themselves with their difficulties and to improve the relationship with their body in relation to each other.

  11. Overcoming barriers to health service access: influencing the demand side.

    Science.gov (United States)

    Ensor, Tim; Cooper, Stephanie

    2004-03-01

    Evidence suggests that demand-side barriers may be as important as supply factors in deterring patients from obtaining treatment. Yet relatively little attention is given, either by policy makers or researchers, to ways of minimizing their effect. These barriers are likely to be more important for the poor and other vulnerable groups, where the costs of access, lack of information and cultural barriers impede them from benefiting from public spending. Demand barriers present in low- and middle-income countries and evidence on the effectiveness of interventions to overcome these obstacles are reviewed. Demand barriers are also shown to be important in richer countries, particularly among vulnerable groups. This suggests that while barriers are plentiful, there is a dearth of evidence on ways to reduce them. Where evidence does exist, the data and methodology for evaluating effectiveness and cost-effectiveness is insufficient. An increased focus on obtaining robust evidence on effective interventions could yield high returns. The likely nature of the interventions means that pragmatic policy routes that go beyond the traditional boundaries of the public health sector are required for implementing the findings.

  12. Inflammatory Response to Cardiac Surgery and Strategies to Overcome it.

    Directory of Open Access Journals (Sweden)

    Kapoor Mukul

    2004-01-01

    Full Text Available A general activation of the immune system is observed during any operative procedure as a physiological response to the surgical trauma. Cardiopulmonary bypass may directly activate the inflammatory response by three distinct mechanisms: direct ′contact activation′ of the immune system following exposure of blood to the foreign surfaces, ischaemia-reperfusion injury to vital organs and systemic endotoxaemia resulting from gut translocation of endotoxin. The inflammatory response depends upon recruitment and activation of inflammatory cells. The cellular immune response, in particular polymorphonuclear cell-endothelial adhesion, leads to widespread endothelial damage and dysfunction. Increased oxygen derived free radical activity represents a risk for myocardial and pulmonary complications. The clinical consequences of the stress response vary from a mild generalised transient response, termed the ′systemic inflammatory response syndrome,′ to life threatening organ dysfunction. The introduction of the ′off-pump′ coronary artery bypass graft surgery has now made it possible to differentiate the influence of cardiopulmonary bypass and surgical access on different modalities of the immune response. ′Off-pump′ cardiac surgery has been found to trigger inflammatory response, lesser than ′on-pump′ cardiac surgery. Researches are directed towards understanding this complex interplay of humoral and cellular mediators and develop strategies to limit the resultant organ dysfunction. Current literature on the various mediators of this inflammatory response, the role of surgical stress, the pathogenesis of the organ damage and strategies to limit / overcome this response are reviewed.

  13. Overcoming challenges in the classification of deep geothermal potential

    Science.gov (United States)

    Breede, K.; Dzebisashvili, K.; Falcone, G.

    2015-04-01

    The geothermal community lacks a universal definition of deep geothermal systems. A minimum depth of 400 m is often assumed, with a further sub-classification into middle-deep geothermal systems for reservoirs found between 400 and 1000 m. Yet, the simplistic use of a depth cut-off is insufficient to uniquely determine the type of resource and its associated potential. Different definitions and criteria have been proposed in the past to frame deep geothermal systems. However, although they have valid assumptions, these frameworks lack systematic integration of correlated factors. To further complicate matters, new definitions such as hot dry rock (HDR), enhanced or engineered geothermal systems (EGSs) or deep heat mining have been introduced over the years. A clear and transparent approach is needed to estimate the potential of deep geothermal systems and be capable of distinguishing between resources of a different nature. In order to overcome the ambiguity associated with some past definitions such as EGS, this paper proposes the return to a more rigorous petrothermal versus hydrothermal classification. This would be superimposed with numerical criteria for the following: depth and temperature; predominance of conduction, convection or advection; formation type; rock properties; heat source type; requirement for formation stimulation and corresponding efficiency; requirement to provide the carrier fluid; well productivity (or injectivity); production (or circulation) flow rate; and heat recharge mode. Using the results from data mining of past and present deep geothermal projects worldwide, a classification of the same, according to the aforementioned criteria is proposed.

  14. Paclitaxel Nanocrystals for Overcoming Multidrug Resistance in Cancer

    Science.gov (United States)

    Liu, Yang; Huang, Leaf; Liu, Feng

    2013-01-01

    Here we described a paclitaxel (PTX) nanocrystals formulation using D-α-tocopheryl polyethylene glycol 1000 succinate (TPGS) as the sole excipient for overcoming multidrug resistance (MDR), a key challenge in current cancer therapy. To the best of our knowledge, it is the first report on PTX nanocrystals which can reverse MDR. TPGS serves as a surfactant to stabilize the nanocrystals and a P-gp inhibitor to reverse MDR. The size and morphology of the nanocrystals were studied by transmission electron microscopy and the crystalline structure was determined by powder X-ray diffraction. In vitro drug release profile showed that the nanocrystals exhibited sustained release kinetics compared to Taxol which is the clinical paclitaxel formulation. The cytotoxicity and antitumor efficacy in xenograft models were also investigated. It is demonstrated that PTX/TPGS nanocrystals have significant advantages over Taxol in achieving better therapeutic effect in Taxol-resistant cancer cells both in vitro and in vivo, which was also confirmed by apoptosis assays. We envision that further development of this type of nanocrystals will provide a novel strategy for drug delivery and multidrug resistance treatment. PMID:20420443

  15. Development by Design in Western Australia: Overcoming Offset Obstacles

    Directory of Open Access Journals (Sweden)

    James Fitzsimons

    2014-02-01

    Full Text Available Biodiversity offsets can be an important tool for maintaining or enhancing environmental values in situations where development is sought despite negative environmental impacts. There are now approximately 45 compensatory mitigation programs for biodiversity impacts worldwide, with another 27 programs in development. While offsets have great potential as a conservation tool, their establishment requires overcoming a number of conceptual and methodological hurdles. In Australia, new policy changes at the national and state (i.e., Western Australia level require that offsets follow a set of general principles: (1 Environmental offsets may not be appropriate for all projects and will only be considered after avoidance and mitigation options have been pursued; (2 Environmental offsets will be based on sound environmental information and knowledge; (3 Establishing goals for offsets requires an estimate of expected direct and indirect impacts; (4 Environmental offsets will be focused on longer term strategic outcomes; (5 Environmental offsets will be cost-effective, as well as relevant and proportionate to the significance of the environmental value being impacted. Here we focus on the challenges of determining and implementing offsets using a real world example from a voluntary offset process undertaken for Barrick Gold’s Kanowna Belle mine site in Western Australia to highlight those challenges and potential solutions.

  16. Methods for overcoming dormancy in Stryphnodendron pulcherrimum seeds

    Directory of Open Access Journals (Sweden)

    Adriano Gonçalves Pereira

    2016-09-01

    Full Text Available Seed dormancy is a phenomenon observed in several tropical species. This condition causes low and non-uniform germination. The present study was designed to identify an efficient method of breaking seed dormancy in Stryphnodendron pulcherrimum. Seeds of four mother plants were subjected to the following treatments: immersion in sulfuric acid for 2, 4, 6, 8, 10 and 12 min and scarification on 150-grit sandpaper. Seeds were sown on substrate containing sand and sawdust (1:1. It was evaluate the days to onset seedlings emergence, seedlings emergence (SE, emergence speed index (ESI, germination (G, hard seeds (HS, dead seeds (DS, dormant seeds (DMS, abnormal seedlings (AS and dry mass of aerial part (DMAP and roots (DMR. The experimental design was completely randomized with four replications of 25 seeds for each treatment. Data were subjected to analysis of variance and means compared by Tukey’s test (p < 0.05. Significant differences among treatments were observed for ESI, SE, G, HS, DMAP and DMR. Highest HS was observed in control treatment (85%. Highest G was observed in seeds scarified with sulfuric acid for 10 min (82% and 12 min (74%. These treatments also showed highest ESI, DMAP and DMR, indicating that these scarification treatments were the most efficient in overcoming dormancy.

  17. Overcoming social segregation in health care in Latin America.

    Science.gov (United States)

    Cotlear, Daniel; Gómez-Dantés, Octavio; Knaul, Felicia; Atun, Rifat; Barreto, Ivana C H C; Cetrángolo, Oscar; Cueto, Marcos; Francke, Pedro; Frenz, Patricia; Guerrero, Ramiro; Lozano, Rafael; Marten, Robert; Sáenz, Rocío

    2015-03-28

    Latin America continues to segregate different social groups into separate health-system segments, including two separate public sector blocks: a well resourced social security for salaried workers and their families and a Ministry of Health serving poor and vulnerable people with low standards of quality and needing a frequently impoverishing payment at point of service. This segregation shows Latin America's longstanding economic and social inequality, cemented by an economic framework that predicted that economic growth would lead to rapid formalisation of the economy. Today, the institutional setup that organises the social segregation in health care is perceived, despite improved life expectancy and other advances, as a barrier to fulfilling the right to health, embodied in the legislation of many Latin American countries. This Series paper outlines four phases in the history of Latin American countries that explain the roots of segmentation in health care and describe three paths taken by countries seeking to overcome it: unification of the funds used to finance both social security and Ministry of Health services (one public payer); free choice of provider or insurer; and expansion of services to poor people and the non-salaried population by making explicit the health-care benefits to which all citizens are entitled. Copyright © 2015 Elsevier Ltd. All rights reserved.

  18. Strategies to potentiate antimicrobial photoinactivation by overcoming resistant phenotypes.

    Science.gov (United States)

    Vera, Domingo Mariano Adolfo; Haynes, Mark H; Ball, Anthony R; Dai, Tianhong; Astrakas, Christos; Kelso, Michael J; Hamblin, Michael R; Tegos, George P

    2012-01-01

    Conventional antimicrobial strategies have become increasingly ineffective due to the emergence of multidrug resistance among pathogenic microorganisms. The need to overcome these deficiencies has triggered the exploration of alternative treatments and unconventional approaches towards controlling microbial infections. Photodynamic therapy (PDT) was originally established as an anticancer modality and is currently used in the treatment of age-related macular degeneration. The concept of photodynamic inactivation requires cell exposure to light energy, typically wavelengths in the visible region that causes the excitation of photosensitizer molecules either exogenous or endogenous, which results in the production of reactive oxygen species (ROS). ROS produce cell inactivation and death through modification of intracellular components. The versatile characteristics of PDT prompted its investigation as an anti-infective discovery platform. Advances in understanding of microbial physiology have shed light on a series of pathways, and phenotypes that serve as putative targets for antimicrobial drug discovery. Investigations of these phenotypic elements in concert with PDT have been reported focused on multidrug efflux systems, biofilms, virulence and pathogenesis determinants. In many instances the results are promising but only preliminary and require further investigation. This review discusses the different antimicrobial PDT strategies and highlights the need for highly informative and comprehensive discovery approaches. © 2012 Wiley Periodicals, Inc. Photochemistry and Photobiology © 2012 The American Society of Photobiology.

  19. Strategies to potentiate antimicrobial photoinactivation by overcoming resistant phenotypes†

    Science.gov (United States)

    Vera, D. Mariano A.; Haynes, Mark H; Ball, Anthony R.; Dai, D. Tianhong; Astrakas, Christos; Kelso, Michael J; Hamblin, Michael R; Tegos, George P.

    2012-01-01

    Conventional antimicrobial strategies have become increasingly ineffective due to the emergence of multidrug resistance among pathogenic microorganisms. The need to overcome these deficiencies has triggered the exploration of alternative treatments and unconventional approaches towards controlling microbial infections. Photodynamic therapy was originally established as an anti-cancer modality and is currently used in the treatment of age related macular degeneration. The concept of photodynamic inactivation requires cell exposure to light energy, typically wavelengths in the visible region that causes the excitation of photosensitizer molecules either exogenous or endogenous, which results in the production of reactive oxygen species. ROS produce cell inactivation and death through modification of intracellular components. The versatile characteristics of PDT prompted its investigation as an anti-infective discovery platform. Advances in understanding of microbial physiology have shed light on a series of pathways, and phenotypes that serve as putative targets for antimicrobial drug discovery. Investigations of these phenotypic elements in concert with PDT have been reported focused on multidrug efflux systems, biofilms, virulence and pathogenesis determinants. In many instances the results are promising but only preliminary and require further investigation. This review discusses the different antimicrobial PDT strategies and highlights the need for highly informative and comprehensive discovery approaches. PMID:22242675

  20. Nondestructive analysis of Portuguese "dinheiros" using XRF: overcoming patina constraints

    Science.gov (United States)

    Pessanha, Sofia; Costa, Mário; Oliveira, Maria Inês; Jorge, Maria Estrela M.; Carvalho, Maria Luísa

    2015-06-01

    "Dinheiros" are the first Portuguese coins, minted with a billon alloy (majority-based copper alloyed with silver). In this work, a set of "dinheiros" from D. Fernando of Portugal was analyzed and the composition of the alloy was compared with other "dinheiros" from previous reigns. Although the coins were in good state of conservation and no active corrosion was macroscopically observable, they still presented a corrosion layer of unknown thickness that would impair the XRF quantitative determinations. In order to overcome this hindrance, the silver K/L intensity ratios were determined and compared for the analyzed samples in order to choose "clean" spots for quantitative analysis. The results show a clear decrease in the Ag content: from 7-9 % in the previous reigns to 0.2-0.3 % in the coins attributed to D. Fernando. The silver content determined is very comparable to the silver content determined in other copper or bronze artifacts analyzed, leading us to believe that this low amount of silver was not intentionally introduced to create a billon alloy but relates to impurities present in the original mineral specimen.

  1. Overcoming Barriers to Successfully Commercializing Carbon Dioxide Utilization

    Directory of Open Access Journals (Sweden)

    Marvin Kant

    2017-09-01

    Full Text Available The successful transition to a low-carbon economy hinges on innovative solutions and collaborative action on a global scale. Sustainable entrepreneurship is thereby recognized as a key driver in the creation and transformation of ecologically and socially sustainable economic systems. The purpose of this article is to contribute to this topic by understanding commercialization barriers for strong sustainability-oriented new technology ventures and to derive recommendations to overcome them. A qualitative multilevel approach is applied to identify barriers and drivers within the internal dynamic capabilities of the organization and within the organization’s external stakeholders. A model of barriers has been developed based on semi-structured interviews with new carbon dioxide utilization ventures and associated industry players in Canada, the USA, and the European Economic Area. Resulting recommendations to facilitate the (re-design of a dedicated support system are proposed on four levels: (a actors, (b resources, (c institutional settings, and (d the coordination of the support system.

  2. Biodiesel Production From Algae to Overcome the Energy Crisis

    Directory of Open Access Journals (Sweden)

    Suliman Khan

    2017-10-01

    Full Text Available The use of energy sources has reached at the level that whole world is relying on it. Being the major source of energy, fuels are considered the most important. The fear of diminishing the available sources thirst towards biofuel production has increased during last decades. Considering the food problems, algae gain the most attention to be used as biofuel producers. The use of crop and food-producing plants will never be a best fit into the priorities for biofuel production as they will disturb the food needs. Different types of algae having the different production abilities. Normally algae have 20%–80% oil contents that could be converted into different types of fuels such as kerosene oil and biodiesel. The diesel production from algae is economical and easy. Different species such as tribonema, ulothrix and euglena have good potential for biodiesel production. Gene technology can be used to enhance the production of oil and biodiesel contents and stability of algae. By increasing the genetic expressions, we can find the ways to achieve the required biofuel amounts easily and continuously to overcome the fuels deficiency. The present review article focusses on the role of algae as a possible substitute for fossil fuel as an ideal biofuel reactant.

  3. Will new antimicrobials overcome resistance among Gram-negatives?

    Science.gov (United States)

    Bassetti, Matteo; Ginocchio, Francesca; Mikulska, Małgorzata; Taramasso, Lucia; Giacobbe, Daniele Roberto

    2011-10-01

    The spread of resistance among Gram-positive and Gram-negative bacteria represents a growing challenge for the development of new antimicrobials. The pace of antibiotic drug development has slowed during the last decade and, especially for Gram-negatives, clinicians are facing a dramatic shortage in the availability of therapeutic options to face the emergency of the resistance problem throughout the world. In this alarming scenario, although there is a shortage of compounds reaching the market in the near future, antibiotic discovery remains one of the keys to successfully stem and maybe overcome the tide of resistance. Analogs of already known compounds and new agents belonging to completely new classes of antimicrobials are in early stages of development. Novel and promising anti-Gram-negative antimicrobials belong both to old (cephalosporins, carbapenems, β-lactamase inhibitors, monobactams, aminoglycosides, polymyxin analogues and tetracycline) and completely new antibacterial classes (boron-containing antibacterial protein synthesis inhibitors, bis-indoles, outer membrane synthesis inhibitors, antibiotics targeting novel sites of the 50S ribosomal subunit and antimicrobial peptides). However, all of these compounds are still far from being introduced into clinical practice. Therefore, infection control policies and optimization in the use of already existing molecules are still the most effective approaches to reduce the spread of resistance and preserve the activity of antimicrobials.

  4. Non-adaptive origins of evolutionary innovations increase network complexity in interacting digital organisms.

    Science.gov (United States)

    Fortuna, Miguel A; Zaman, Luis; Wagner, Andreas; Bascompte, Jordi

    2017-12-05

    The origin of evolutionary innovations is a central problem in evolutionary biology. To what extent such innovations have adaptive or non-adaptive origins is hard to assess in real organisms. This limitation, however, can be overcome using digital organisms, i.e. self-replicating computer programs that mutate, evolve and coevolve within a user-defined computational environment. Here, we quantify the role of the non-adaptive origins of host resistance traits in determining the evolution of ecological interactions among host and parasite digital organisms. We find that host resistance traits arising spontaneously as exaptations increase the complexity of antagonistic host-parasite networks. Specifically, they lead to higher host phenotypic diversification, a larger number of ecological interactions and higher heterogeneity in interaction strengths. Given the potential of network architecture to affect network dynamics, such exaptations may increase the persistence of entire communities. Our in silico approach, therefore, may complement current theoretical advances aimed at disentangling the ecological and evolutionary mechanisms shaping species interaction networks.This article is part of the themed issue 'Process and pattern in innovations from cells to societies'. © 2017 The Author(s).

  5. Social networks: Networking of social actors in the sphere of economic activities

    OpenAIRE

    Babović Marija

    2005-01-01

    The article reviews one of the important fields of study in contemporary economic sociology - social networks in the sphere of economic activities. Besides basic theoretical and methodological conceptions in studying social networks that originate from general sociology and special sociological disciplines most important fields of study of social networks in economic sociology are presented. Some influential studies of social networks are analyzed; some key weaknesses of social network approa...

  6. Game theory in communication networks cooperative resolution of interactive networking scenarios

    CERN Document Server

    Antoniou, Josephina

    2012-01-01

    A mathematical tool for scientists and researchers who work with computer and communication networks, Game Theory in Communication Networks: Cooperative Resolution of Interactive Networking Scenarios addresses the question of how to promote cooperative behavior in interactive situations between heterogeneous entities in communication networking scenarios. It explores network design and management from a theoretical perspective, using game theory and graph theory to analyze strategic situations and demonstrate profitable behaviors of the cooperative entities. The book promotes the use of Game T

  7. Psychology and social networks: a dynamic network theory perspective.

    Science.gov (United States)

    Westaby, James D; Pfaff, Danielle L; Redding, Nicholas

    2014-04-01

    Research on social networks has grown exponentially in recent years. However, despite its relevance, the field of psychology has been relatively slow to explain the underlying goal pursuit and resistance processes influencing social networks in the first place. In this vein, this article aims to demonstrate how a dynamic network theory perspective explains the way in which social networks influence these processes and related outcomes, such as goal achievement, performance, learning, and emotional contagion at the interpersonal level of analysis. The theory integrates goal pursuit, motivation, and conflict conceptualizations from psychology with social network concepts from sociology and organizational science to provide a taxonomy of social network role behaviors, such as goal striving, system supporting, goal preventing, system negating, and observing. This theoretical perspective provides psychologists with new tools to map social networks (e.g., dynamic network charts), which can help inform the development of change interventions. Implications for social, industrial-organizational, and counseling psychology as well as conflict resolution are discussed, and new opportunities for research are highlighted, such as those related to dynamic network intelligence (also known as cognitive accuracy), levels of analysis, methodological/ethical issues, and the need to theoretically broaden the study of social networking and social media behavior. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

  8. Bluetooth Low Energy Mesh Networks: A Survey.

    Science.gov (United States)

    Darroudi, Seyed Mahdi; Gomez, Carles

    2017-06-22

    Bluetooth Low Energy (BLE) has gained significant momentum. However, the original design of BLE focused on star topology networking, which limits network coverage range and precludes end-to-end path diversity. In contrast, other competing technologies overcome such constraints by supporting the mesh network topology. For these reasons, academia, industry, and standards development organizations have been designing solutions to enable BLE mesh networks. Nevertheless, the literature lacks a consolidated view on this emerging area. This paper comprehensively surveys state of the art BLE mesh networking. We first provide a taxonomy of BLE mesh network solutions. We then review the solutions, describing the variety of approaches that leverage existing BLE functionality to enable BLE mesh networks. We identify crucial aspects of BLE mesh network solutions and discuss their advantages and drawbacks. Finally, we highlight currently open issues.

  9. Competition among networks highlights the power of the weak

    Science.gov (United States)

    Iranzo, Jaime; Buldú, Javier M.; Aguirre, Jacobo

    2016-11-01

    The unpreventable connections between real networked systems have recently called for an examination of percolation, diffusion or synchronization phenomena in multilayer networks. Here we use network science and game theory to explore interactions in networks-of-networks and model these as a game for gaining importance. We propose a viewpoint where networks choose the connection strategies, in contrast with classical approaches where nodes are the active players. Specifically, we investigate how creating paths between networks leads to different Nash equilibria that determine their structural and dynamical properties. In a wide variety of cases, selecting adequate connections leads to a cooperative solution that allows weak networks to overcome the strongest opponent. Counterintuitively, each weak network can induce a global transition to such cooperative configuration regardless of the actions of the strongest network. This power of the weak reveals a critical dominance of the underdogs in the fate of networks-of-networks.

  10. Asking Research Questions: Theoretical Presuppositions

    Science.gov (United States)

    Tenenberg, Josh

    2014-01-01

    Asking significant research questions is a crucial aspect of building a research foundation in computer science (CS) education. In this article, I argue that the questions that we ask are shaped by internalized theoretical presuppositions about how the social and behavioral worlds operate. And although such presuppositions are essential in making…

  11. Theoretical Linguistics And Multilingualism Research

    African Journals Online (AJOL)

    KATEVG

    and Garfunkel who released the legendary song with the singular bridge over forty years ago):. • It tries to construct a bridge between the concerns of theoretical linguistics and ...... Four types of morpheme: Evidence from aphasia, code switching, and second-language acquisition. Linguistics 38: 1053-1100. Newmeyer, F.J. ...

  12. Number theoretical foundations in cryptography

    Science.gov (United States)

    Atan, Kamel Ariffin Mohd

    2017-08-01

    In recent times the hazards in relationships among entities in different establishments worldwide have generated exciting developments in cryptography. Central to this is the theory of numbers. This area of mathematics provides very rich source of fundamental materials for constructing secret codes. Some number theoretical concepts that have been very actively used in designing crypto systems will be highlighted in this presentation. This paper will begin with introduction to basic number theoretical concepts which for many years have been thought to have no practical applications. This will include several theoretical assertions that were discovered much earlier in the historical development of number theory. This will be followed by discussion on the "hidden" properties of these assertions that were later exploited by designers of cryptosystems in their quest for developing secret codes. This paper also highlights some earlier and existing cryptosystems and the role played by number theoretical concepts in their constructions. The role played by cryptanalysts in detecting weaknesses in the systems developed by cryptographers concludes this presentation.

  13. Theoretical Aspects of Particle Production

    CERN Document Server

    Webber, B.R.

    1999-01-01

    These lectures describe some of the latest data on particle production in high-energy collisions and compare them with theoretical calculations and models based on QCD. The main topics covered are: fragmentation functions and factorization, small-x fragmentation, hadronization models, differences between quark and gluon fragmentation, current and target fragmentation in deep inelastic scattering, and heavy quark fragmentation.

  14. Data, Methods, and Theoretical Implications

    Science.gov (United States)

    Hannagan, Rebecca J.; Schneider, Monica C.; Greenlee, Jill S.

    2012-01-01

    Within the subfields of political psychology and the study of gender, the introduction of new data collection efforts, methodologies, and theoretical approaches are transforming our understandings of these two fields and the places at which they intersect. In this article we present an overview of the research that was presented at a National…

  15. Theoretical predictions for exotic hadrons

    Energy Technology Data Exchange (ETDEWEB)

    Barnes, T. [Oak Ridge National Lab., TN (United States). Computational and Theoretical Physics Group]|[Univ. of Tennessee, Knoxville, TN (United States). Dept. of Physics and Astronomy

    1996-12-31

    In this contribution the authors discuss current theoretical expectations for the properties of light meson exotica, which are meson resonances outside the q{anti q} quark model. Specifically they discuss expectations for gluonic hadrons (glueballs and hybrids) and multiquark systems (molecules). Experimental candidates for these states are summarized, and the relevance of a TCF to these studies is stressed.

  16. Theoretical Approaches to Political Communication.

    Science.gov (United States)

    Chesebro, James W.

    Political communication appears to be emerging as a theoretical and methodological academic area of research within both speech-communication and political science. Five complimentary approaches to political science (Machiavellian, iconic, ritualistic, confirmational, and dramatistic) may be viewed as a series of variations which emphasize the…

  17. THEORETICAL APPROACHES IN INTERNATIONAL RELATIONS ...

    African Journals Online (AJOL)

    plt

    constitutes a distinctive 'lens' on world affairs.9 The question can be raised as to how, and if, theoretical approaches in IR can contribute to an improved understanding of the role and functions of militaries. There are concrete or specific theories, such as Realism, but not even realist theories guarantee a clear and accurate.

  18. DESIGNERLY WAYS TO THEORETICAL INSIGHT

    DEFF Research Database (Denmark)

    Bang, Anne Louise; Gelting, Anne Katrine Gøtzsche; Friis, Silje Alberthe Kamille

    2014-01-01

    This paper set out to investigate how design students learn from visualising theory in design education. The exploration rests on the assumption that the application of tools and techniques from design practice supports design students with an entrance to the theoretical part of the field. The pa...... information and concepts in ways that are personally meaningful to them....

  19. Lightning Talks 2015: Theoretical Division

    Energy Technology Data Exchange (ETDEWEB)

    Shlachter, Jack S. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2015-11-25

    This document is a compilation of slides from a number of student presentations given to LANL Theoretical Division members. The subjects cover the range of activities of the Division, including plasma physics, environmental issues, materials research, bacterial resistance to antibiotics, and computational methods.

  20. Teaching Theoretical Criminology to Undergraduates.

    Science.gov (United States)

    Williams, James L.; And Others

    1995-01-01

    Maintains that U.S. society's emphasis on individuality and pragmatism renders theoretical study of criminal deviance difficult for many students. Presents a structured approach to this problem that includes an emphasis on practical applications, comparative analysis, analytical skills, and the substantive content of theories. Describes teaching…

  1. Towards an Information Theory of Complex Networks

    CERN Document Server

    Dehmer, Matthias; Mehler, Alexander

    2011-01-01

    For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoreti

  2. A Theoretic Basis for IS? The Contribution of ANT

    Directory of Open Access Journals (Sweden)

    Jim Underwood

    2002-11-01

    Full Text Available Representation is a key issue of IS design and operation that is often ignored. Actor-network theory (ANT, a semiotic theory of stakeholders, provides a way of dealing with representation. Combining aspects of ANT and Foucault's discourse theory allows us to include concepts as actors and promises a flexible and durable foundation for IS practice, but ANT itself indicates that the search for a purely theoretical foundation for IS is misguided.

  3. Networks and network analysis for defence and security

    CERN Document Server

    Masys, Anthony J

    2014-01-01

    Networks and Network Analysis for Defence and Security discusses relevant theoretical frameworks and applications of network analysis in support of the defence and security domains. This book details real world applications of network analysis to support defence and security. Shocks to regional, national and global systems stemming from natural hazards, acts of armed violence, terrorism and serious and organized crime have significant defence and security implications. Today, nations face an uncertain and complex security landscape in which threats impact/target the physical, social, economic

  4. Research in Prehospital Care: Overcoming the Barriers to Success.

    Science.gov (United States)

    Lerner, E Brooke; Weik, Tasmeen; Edgerton, Elizabeth A

    2016-01-01

    The objective of this project was to determine how investigators conduct clinical trials in the prehospital setting and to suggest how emergency medical services (EMS) systems can develop the capacity to conduct prehospital clinical research. A representative sample of U.S.-based study sites was selected from all studies registered on clinicaltrials.gov since the year 2000, where prehospital care providers conducted study-related activities in the prehospital setting. The site principal investigator and the research coordinator or EMS liaison were invited to participate in a structured discussion. A single interviewer conducted each discussion following a structured guide that generically asked for barriers and enablers to the sites' research success and then reviewed commonly identified prehospital research barriers. Notes were taken during each discussion and reviewed for common themes. Themes were reviewed by the project team and sent for comment to all participants. Discussions were held with 25 principal investigators, 9 coordinators, and 7 EMS liaisons. A total of 27 communities were represented in the discussions from 22 different states. The communities had a range of research experience from one prehospital trial to multiple trials. Key barriers were funding, ethics approval, data collection, protocol training and compliance, randomizing and blinding interventions, obtaining patient outcomes, adequate study staffing, and partnering with EMS agencies. This project identified many challenges to EMS research, but they were not insurmountable. Not every community can conduct every prehospital study. Communities should engage in studies that align with their values and resources. Investigators need to develop honest relationships where issues can be openly discussed and the community can collaborate on prehospital research. Learning from those who have overcome challenges may be a key to expanding the quality and quantity of EMS research.

  5. Estimation of serum hyaluronidase activity overcoming the turbidity interference.

    Science.gov (United States)

    Nagaraju, Shivaiah; Girish, K Subbaiah; Pan, Yi; Easely, Kirk A; Kemparaju, Kempaiah

    2011-01-01

    The assay of mammalian hyaluronidases (HAases) is important in understanding the role of the hyaluronan-hyaluronidase (HA-HAase) system in various pathophysiological processes. Despite several quantitative assay method options, the Morgan-Elson colorimetric method modified by Reissig et al is considered the best for determining the activity in clinical samples. However, the sensitivity of the method was greatly limited by presence of protein above 400 microg due to turbidity interference that led to chromogen quenching. Therefore, an effort has been made to reinvestigate the Reissig et al method. In the reinvestigated method, a standardized optimal 0.32 M potassium tetraborate (PTB) was used against 0.13 M (native) to overcome the turbidity interference. The estimated mean OD at 585 nm of serum for native method was 0.043 (95% CI: 0.040 to 0.045), while that for the re-investigated method was 0.138 (95% CI: 0.133 to 0.143, p < 0.0001). The mean OD at 585 nm of serum of native method was significantly lower than that of re-investigated method (p < 0.05) at all protein levels. This was also true for estimated mean OD at 585 nm of plasma. The mean intrasample CVs for native and re-investigated methods were 0.9% and 0.5%, respectively, for normal serum. Furthermore, the repeatability coefficient of normal serum for native was 0.003 IU, while re-investigated method experienced that of 0.002 IU.

  6. The return to keynesianism in overcoming cyclical fluctuations?

    Directory of Open Access Journals (Sweden)

    Praščević Aleksandra

    2008-01-01

    Full Text Available The problems faced by the American economy in the second half of 2007, which intensified in 2008, have once again asked economic science, and even more so economic policy, questions relating to business cycles - the reasons for cyclical fluctuations, the character of business cycles and, naturally, economic policy measures that can be implemented to alleviate and overcome an economic recession. Since the 1970s, business cycle theories have been intensively developed - ranging from monetary theories, developed within monetarism and the first phase of New Classical Macroeconomics, to the real business cycle theory of New Classical Macroeconomics. Consequently, the triggers for the beginning of a cycle can be monetary (monetary theories or real in the form of technological shocks (real business cycles. In essence economic policy conducted since the 1970s, has rejected the Keynesian explanations of the functioning of the economic system, and thus the policy of aggregate demand management. However, the measures that are now being implemented in the USA point to a return to Keynesianism. This refers, above all, to attempts to compensate for the inefficiency of monetary policy with fiscal expansion. All three psychological propensities (propensity to consume, propensity to invest and liquidity preference in Keynes's theory and applied in Keynesian economic policy, are still the significant determinants of monetary and fiscal policies. The return to Keynesianism points to the depth of the crisis faced by the USA, but also confirms the vitality of Keynesian economics and affirms the view that - although Keynes wished to present his theory as being "general" - it is actually the theory of economic depression.

  7. Networks as Tools for Sustainable Urban Development

    DEFF Research Database (Denmark)

    Jensen, Jesper Ole; Tollin, Nicola

    Due to the increasing number of networks related to sustainable development (SUD) the paper focuses on understanding in which way networks can be considered useful tools for sustainable urban development, taking particularly into consideration the networks potential of spreading innovative policies......, strategies and actions. There has been little theoretically development on the subject. In practice networks for sustainable development can be seen as combining different theoretical approaches to networks, including governance, urban competition and innovation. To give a picture of the variety...... of sustainable networks, we present different examples of networks, operating at different geographical scales, from global to local, with different missions (organizational, political, technical), fields (lobbying, learning, branding) and its size. The potentials and challenges related to sustainable networks...

  8. Networks as Tools for Urban Sustainability

    DEFF Research Database (Denmark)

    Jensen, Jesper Ole; Tollin, Nicola

    2004-01-01

    Due to the increasing number of networks related to sustainable development (SUD) the paper focuses on understanding in which way networks can be considered useful tools for sustainable urban development, taking particularly into consideration the networks potential of spreading innovative policies......, strategies and actions. There has been little theoretically development on the subject. In practice networks for sustainable development can be seen as combining different theoretical approaches to networks, including governance, urban competition and innovation. To give a picture of the variety...... of sustainable networks, we present different examples of networks, operating at different geographical scales, from global to local, with different missions (organizational, political, technical), fields (lobbying, learning, branding) and its size. The potentials and challenges related to sustainable networks...

  9. A specific role for serotonin in overcoming effort cost.

    Science.gov (United States)

    Meyniel, Florent; Goodwin, Guy M; Deakin, Jf William; Klinge, Corinna; MacFadyen, Christine; Milligan, Holly; Mullings, Emma; Pessiglione, Mathias; Gaillard, Raphaël

    2016-11-08

    Serotonin is implicated in many aspects of behavioral regulation. Theoretical attempts to unify the multiple roles assigned to serotonin proposed that it regulates the impact of costs, such as delay or punishment, on action selection. Here, we show that serotonin also regulates other types of action costs such as effort. We compared behavioral performance in 58 healthy humans treated during 8 weeks with either placebo or the selective serotonin reuptake inhibitor escitalopram. The task involved trading handgrip force production against monetary benefits. Participants in the escitalopram group produced more effort and thereby achieved a higher payoff. Crucially, our computational analysis showed that this effect was underpinned by a specific reduction of effort cost, and not by any change in the weight of monetary incentives. This specific computational effect sheds new light on the physiological role of serotonin in behavioral regulation and on the clinical effect of drugs for depression. ISRCTN75872983.

  10. Value Creation in Cryptocurrency Networks

    DEFF Research Database (Denmark)

    Kazan, Erol; Tan, Chee-Wee; Lim, Eric T. K.

    2015-01-01

    Cryptocurrency networks have given birth to a diversity of start-ups and attracted a huge influx of venture capital to invest in these start-ups for creating and capturing value within and between such networks. Synthesizing strategic management and information systems (IS) literature, this study...... advances a unified theoretical framework for identifying and investigating how cryptocurrency companies configure value through digital business models. This framework is then employed, via multiple case studies, to examine digital business models of companies within the bitcoin network. Findings suggest...... on value configurations and digital businesses models within the emerging and increasingly pervasive domain of cryptocurrency networks....

  11. Entropy Characterization of Random Network Models

    Directory of Open Access Journals (Sweden)

    Pedro J. Zufiria

    2017-06-01

    Full Text Available This paper elaborates on the Random Network Model (RNM as a mathematical framework for modelling and analyzing the generation of complex networks. Such framework allows the analysis of the relationship between several network characterizing features (link density, clustering coefficient, degree distribution, connectivity, etc. and entropy-based complexity measures, providing new insight on the generation and characterization of random networks. Some theoretical and computational results illustrate the utility of the proposed framework.

  12. The Tragedy of the Commons from a Game-Theoretic Perspective

    Directory of Open Access Journals (Sweden)

    Florian K. Diekert

    2012-08-01

    Full Text Available Twenty years after the declarations from the Earth Summit in Rio, the world faces an unattenuated host of problems that threaten the goal of sustainable development. The challenge to cooperatively solve socio-ecological problems has been portrayed in Garrett Hardin’s essay “The Tragedy of the Commons”. While this paper remains controversial, it has inspired a vast number of theoretical, experimental, and empirical contributions that have clarified the mechanisms of collective action problems and suggested ways to overcome these. This article reviews the recent game-theoretic research in this field.

  13. A THEORETICAL MODEL OF SUPPORTING OPEN SOURCE FRONT END INNOVATION THROUGH IDEA MANAGEMENT

    DEFF Research Database (Denmark)

    Aagaard, Annabeth

    2013-01-01

    to overcome these various challenges companies are looking for new models to support FEI. This theoretical paper explores in what way idea management may be applied as a tool in facilitation of front end innovation and how this facilitation may be captured in a conceptual model. First, I show through...... a literature study, how idea management and front end innovation are related and how they may support each other. Secondly, I present a theoretical model of how idea management may be applied in support of the open source front end of new product innovations. Thirdly, I present different venues of further...

  14. Declarative Networking

    CERN Document Server

    Loo, Boon Thau

    2012-01-01

    Declarative Networking is a programming methodology that enables developers to concisely specify network protocols and services, which are directly compiled to a dataflow framework that executes the specifications. Declarative networking proposes the use of a declarative query language for specifying and implementing network protocols, and employs a dataflow framework at runtime for communication and maintenance of network state. The primary goal of declarative networking is to greatly simplify the process of specifying, implementing, deploying and evolving a network design. In addition, decla

  15. A course in theoretical physics

    CERN Document Server

    Shepherd, P J

    2013-01-01

    This book is a comprehensive account of five extended modules covering the key branches of twentieth-century theoretical physics, taught by the author over a period of three decades to students on bachelor and master university degree courses in both physics and theoretical physics. The modules cover nonrelativistic quantum mechanics, thermal and statistical physics, many-body theory, classical field theory (including special relativity and electromagnetism), and, finally, relativistic quantum mechanics and gauge theories of quark and lepton interactions, all presented in a single, self-contained volume. In a number of universities, much of the material covered (for example, on Einstein’s general theory of relativity, on the BCS theory of superconductivity, and on the Standard Model, including the theory underlying the prediction of the Higgs boson) is taught in postgraduate courses to beginning PhD students. A distinctive feature of the book is that full, step-by-step mathematical proofs of all essentia...

  16. Theoretical Provision of Tax Transformation

    Directory of Open Access Journals (Sweden)

    Feofanova Iryna V.

    2016-05-01

    Full Text Available The article is aimed at defining the questions, giving answers to which is necessary for scientific substantiation of the tax transformation in Ukraine. The article analyzes the structural-logical relationships of the theories, providing substantiation of tax systems and transformation of them. Various views on the level of both the tax burden and the distribution of the tax burden between big and small business have been systematized. The issues that require theoretical substantiation when choosing a model of tax system have been identified. It is determined that shares of both indirect and direct taxes and their rates can be substantiated by calculations on the basis of statistical data. The results of the presented research can be used to develop the algorithm for theoretical substantiation of tax transformation

  17. Theoretical Advanced Study Institute: 2014

    Energy Technology Data Exchange (ETDEWEB)

    DeGrand, Thomas [Univ. of Colorado, Boulder, CO (United States)

    2016-08-17

    The Theoretical Advanced Study Institute (TASI) was held at the University of Colorado, Boulder, during June 2-27, 2014. The topic was "Journeys through the Precision Frontier: Amplitudes for Colliders." The organizers were Professors Lance Dixon (SLAC) and Frank Petriello (Northwestern and Argonne). There were fifty-one students. Nineteen lecturers gave sixty seventy-five minute lectures. A Proceedings was published. This TASI was unique for its large emphasis on methods for calculating amplitudes. This was embedded in a program describing recent theoretical and phenomenological developments in particle physics. Topics included introductions to the Standard Model, to QCD (both in a collider context and on the lattice), effective field theories, Higgs physics, neutrino interactions, an introduction to experimental techniques, and cosmology.

  18. Quantum mechanics the theoretical minimum

    CERN Document Server

    Susskind, Leonard

    2014-01-01

    From the bestselling author of The Theoretical Minimum, an accessible introduction to the math and science of quantum mechanicsQuantum Mechanics is a (second) book for anyone who wants to learn how to think like a physicist. In this follow-up to the bestselling The Theoretical Minimum, physicist Leonard Susskind and data engineer Art Friedman offer a first course in the theory and associated mathematics of the strange world of quantum mechanics. Quantum Mechanics presents Susskind and Friedman’s crystal-clear explanations of the principles of quantum states, uncertainty and time dependence, entanglement, and particle and wave states, among other topics. An accessible but rigorous introduction to a famously difficult topic, Quantum Mechanics provides a tool kit for amateur scientists to learn physics at their own pace.

  19. Inference of Gene Regulatory Network Based on Local Bayesian Networks.

    Science.gov (United States)

    Liu, Fei; Zhang, Shao-Wu; Guo, Wei-Feng; Wei, Ze-Gang; Chen, Luonan

    2016-08-01

    The inference of gene regulatory networks (GRNs) from expression data can mine the direct regulations among genes and gain deep insights into biological processes at a network level. During past decades, numerous computational approaches have been introduced for inferring the GRNs. However, many of them still suffer from various problems, e.g., Bayesian network (BN) methods cannot handle large-scale networks due to their high computational complexity, while information theory-based methods cannot identify the directions of regulatory interactions and also suffer from false positive/negative problems. To overcome the limitations, in this work we present a novel algorithm, namely local Bayesian network (LBN), to infer GRNs from gene expression data by using the network decomposition strategy and false-positive edge elimination scheme. Specifically, LBN algorithm first uses conditional mutual information (CMI) to construct an initial network or GRN, which is decomposed into a number of local networks or GRNs. Then, BN method is employed to generate a series of local BNs by selecting the k-nearest neighbors of each gene as its candidate regulatory genes, which significantly reduces the exponential search space from all possible GRN structures. Integrating these local BNs forms a tentative network or GRN by performing CMI, which reduces redundant regulations in the GRN and thus alleviates the false positive problem. The final network or GRN can be obtained by iteratively performing CMI and local BN on the tentative network. In the iterative process, the false or redundant regulations are gradually removed. When tested on the benchmark GRN datasets from DREAM challenge as well as the SOS DNA repair network in E.coli, our results suggest that LBN outperforms other state-of-the-art methods (ARACNE, GENIE3 and NARROMI) significantly, with more accurate and robust performance. In particular, the decomposition strategy with local Bayesian networks not only effectively reduce

  20. ABOUT COMMON AND THEORETICAL INFORMATICS

    Directory of Open Access Journals (Sweden)

    Andrey A. Mayorov

    2015-01-01

    Full Text Available In this article are considered the integrant importance of informatics and informational technologys includes the sciences and the humanities.There are a differences between scientifi c grounds of the various information orientations, which include physical informatics, bioinfomatics, technical and social informatics. Creation of a united theoretical base for these orientations is very problematical. The metodologically important issue of classifi cation different informatics is a part of the general informatics, the example of which are considered here.