Determination of collective behavior of the financial market.

Science.gov (United States)

Li, Shouwei; Xu, Tao; He, Jianmin

2016-01-01

In this paper, we adopt the network synchronization to measure the collective behavior in the financial market, and then analyze the factors that affect the collective behavior. Based on the data from the Chinese financial market, we find that the clustering coefficient, the average shortest path length and the volatility fluctuation have a positive effect on the collective behavior respectively, while the average return has a negative effect on it; the effect of the average shortest path length on the collective behavior is the greatest in the above four variables; the above results are robust against the window size and the time interval between adjacent windows of the stock network; the effect of network structures and stock market properties on the collective behavior during the financial crisis is the same as those during other periods.

Nontrivial Solution of Fractional Differential System Involving Riemann-Stieltjes Integral Condition

Directory of Open Access Journals (Sweden)

Ge-Feng Yang

2012-01-01

differential system involving the Riemann-Stieltjes integral condition, by using the Leray-Schauder nonlinear alternative and the Banach contraction mapping principle, some sufficient conditions of the existence and uniqueness of a nontrivial solution of a system are obtained.

Programming Non-Trivial Algorithms in the Measurement Based Quantum Computation Model

Energy Technology Data Exchange (ETDEWEB)

Alsing, Paul [United States Air Force Research Laboratory, Wright-Patterson Air Force Base; Fanto, Michael [United States Air Force Research Laboratory, Wright-Patterson Air Force Base; Lott, Capt. Gordon [United States Air Force Research Laboratory, Wright-Patterson Air Force Base; Tison, Christoper C. [United States Air Force Research Laboratory, Wright-Patterson Air Force Base

2014-01-01

We provide a set of prescriptions for implementing a quantum circuit model algorithm as measurement based quantum computing (MBQC) algorithm1, 2 via a large cluster state. As means of illustration we draw upon our numerical modeling experience to describe a large graph state capable of searching a logical 8 element list (a non-trivial version of Grover's algorithm3 with feedforward). We develop several prescriptions based on analytic evaluation of cluster states and graph state equations which can be generalized into any circuit model operations. Such a resulting cluster state will be able to carry out the desired operation with appropriate measurements and feed forward error correction. We also discuss the physical implementation and the analysis of the principal 3-qubit entangling gate (Toffoli) required for a non-trivial feedforward realization of an 8-element Grover search algorithm.

Collective fluctuations in networks of noisy components

International Nuclear Information System (INIS)

Masuda, Naoki; Kawamura, Yoji; Kori, Hiroshi

2010-01-01

Collective dynamics result from interactions among noisy dynamical components. Examples include heartbeats, circadian rhythms and various pattern formations. Because of noise in each component, collective dynamics inevitably involve fluctuations, which may crucially affect the functioning of the system. However, the relation between the fluctuations in isolated individual components and those in collective dynamics is not clear. Here, we study a linear dynamical system of networked components subjected to independent Gaussian noise and analytically show that the connectivity of networks determines the intensity of fluctuations in the collective dynamics. Remarkably, in general directed networks including scale-free networks, the fluctuations decrease more slowly with system size than the standard law stated by the central limit theorem. They even remain finite for a large system size when global directionality of the network exists. Moreover, such non-trivial behavior appears even in undirected networks when nonlinear dynamical systems are considered. We demonstrate it with a coupled oscillator system.

Nontrivial Berry phase in magnetic BaMnSb2 semimetal

Science.gov (United States)

Huang, Silu; Kim, Jisun; Shelton, W. A.; Plummer, E. W.; Jin, Rongying

2017-06-01

The subject of topological materials has attracted immense attention in condensed-matter physics because they host new quantum states of matter containing Dirac, Majorana, or Weyl fermions. Although Majorana fermions can only exist on the surface of topological superconductors, Dirac and Weyl fermions can be realized in both 2D and 3D materials. The latter are semimetals with Dirac/Weyl cones either not tilted (type I) or tilted (type II). Although both Dirac and Weyl fermions have massless nature with the nontrivial Berry phase, the formation of Weyl fermions in 3D semimetals require either time-reversal or inversion symmetry breaking to lift degeneracy at Dirac points. Here we demonstrate experimentally that canted antiferromagnetic BaMnSb2 is a 3D Weyl semimetal with a 2D electronic structure. The Shubnikov-de Hass oscillations of the magnetoresistance give nearly zero effective mass with high mobility and the nontrivial Berry phase. The ordered magnetic arrangement (ferromagnetic ordering in the ab plane and antiferromagnetic ordering along the c axis below 286 K) breaks the time-reversal symmetry, thus offering us an ideal platform to study magnetic Weyl fermions in a centrosymmetric material.

Collective impurity effects in the Heisenberg triangular antiferromagnet

International Nuclear Information System (INIS)

Maryasin, V S; Zhitomirsky, M E

2015-01-01

We theoretically investigate the Heisenberg antiferromagnet on a triangular lattice doped with nonmagnetic impurities. Two nontrivial effects resulting from collective impurity behavior are predicted. The first one is related to presence of uncompensated magnetic moments localized near vacancies as revealed by the low-temperature Curie tail in the magnetic susceptibility. These moments exhibit an anomalous growth with the impurity concentration, which we attribute to the clustering mechanism. In an external magnetic field, impurities lead to an even more peculiar phenomenon lifting the classical ground-state degeneracy in favor of the conical state. We analytically demonstrate that vacancies spontaneously generate a positive biquadratic exchange, which is responsible for the above degeneracy lifting

Slavnov-Taylor constraints for nontrivial backgrounds

International Nuclear Information System (INIS)

Binosi, D.; Quadri, A.

2011-01-01

We devise an algebraic procedure for the evaluation of Green's functions in SU(N) Yang-Mills theory in the presence of a nontrivial background field. In the ghost-free sector the dependence of the vertex functional on the background is shown to be uniquely determined by the Slavnov-Taylor identities in terms of a certain 1-PI correlator of the covariant derivatives of the ghost and the antighost fields. At nonvanishing background this amplitude is shown to encode the quantum deformations to the tree-level background-quantum splitting. The approach only relies on the functional identities of the model (Slavnov-Taylor identities, b-equation, antighost equation) and thus it is valid beyond perturbation theory, and, in particular, in a lattice implementation of the background field method. As an example of the formalism we analyze the ghost two-point function and the Kugo-Ojima function in an instanton background in SU(2) Yang-Mills theory, quantized in the background Landau gauge.

Electroweak chiral Lagrangian from the topcolor-assisted technicolor model with nontrivial technicolor fermion condensation and walking

International Nuclear Information System (INIS)

Ge Fengjun; Jiang Shaozhou; Wang Qing

2011-01-01

The electroweak chiral Lagrangian for the topcolor-assisted technicolor model proposed by K. Lane, which uses nontrivial patterns of techniquark condensation and walking, was investigated in this study. We found that the features of the model are qualitatively similar to those of Lane's previous natural topcolor-assisted technicolor prototype model, but there is no limit on the upper bound of the Z ' mass. We discuss the phase structure and possible walking behavior of the model. We obtained the values of all coefficients of the electroweak chiral Lagrangian up to an order of p 4 . We show that although the walking effect reduces the S parameter to half its original value, it maintains an order of 2. Moreover, a special hypercharge arrangement is needed to achieve further reductions in its value.

Collective behaviors of book holding durations

Science.gov (United States)

Li, Ren-De; Guo, Qiang; Han, Jing-Ti; Liu, Jian-Guo

2016-10-01

Duration can directly reflect the collective reading behaviors of library user book holding. In this paper, by introducing the burstiness and memory coefficients, we empirically investigate the collective book holding behavior of three university libraries. The statistical results show that there are similar properties among the students with different backgrounds, presenting the burstiness = - 0.2 and memory = 0.5 for three datasets, which indicates that memory and random effects coexist in student book holding durations. In addition, we analyze the behavior patterns without duplicate durations by merging a series of books borrowed and returned at the same time. The results show the average burstiness B increases to -0.16 and memory M drops to 0.16 for three datasets, which indicates that both duplicate behavior and student's preference affect the memory effect. Furthermore, we present a model which assumes student's next book holding duration follows the previous one with probability p, and with probability 1 - p, the student would hold the book independently. The experimental results show that the presented model can reproduce the burstiness and memory effect of student book holding durations when p = 0.5 for empirical datasets and p = 0.2 for de-duplicate datasets, which indicate that the student's preferential holding behavior occurs with the probability p. This work helps in deeply understanding the regularity of duration-based human behaviors.

Collective animal behavior from Bayesian estimation and probability matching.

Directory of Open Access Journals (Sweden)

Alfonso Pérez-Escudero

2011-11-01

Full Text Available Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in animal collectives is mainly based on empirical fits to observations, with less emphasis in obtaining first-principles approaches that allow their derivation. Here we show that patterns of collective decisions can be derived from the basic ability of animals to make probabilistic estimations in the presence of uncertainty. We build a decision-making model with two stages: Bayesian estimation and probabilistic matching. In the first stage, each animal makes a Bayesian estimation of which behavior is best to perform taking into account personal information about the environment and social information collected by observing the behaviors of other animals. In the probability matching stage, each animal chooses a behavior with a probability equal to the Bayesian-estimated probability that this behavior is the most appropriate one. This model derives very simple rules of interaction in animal collectives that depend only on two types of reliability parameters, one that each animal assigns to the other animals and another given by the quality of the non-social information. We test our model by obtaining theoretically a rich set of observed collective patterns of decisions in three-spined sticklebacks, Gasterosteus aculeatus, a shoaling fish species. The quantitative link shown between probabilistic estimation and collective rules of behavior allows a better contact with other fields such as foraging, mate selection, neurobiology and psychology, and gives predictions for experiments directly testing the relationship between estimation and collective behavior.

Model of Collective Fish Behavior with Hydrodynamic Interactions

Science.gov (United States)

Filella, Audrey; Nadal, François; Sire, Clément; Kanso, Eva; Eloy, Christophe

2018-05-01

Fish schooling is often modeled with self-propelled particles subject to phenomenological behavioral rules. Although fish are known to sense and exploit flow features, these models usually neglect hydrodynamics. Here, we propose a novel model that couples behavioral rules with far-field hydrodynamic interactions. We show that (1) a new "collective turning" phase emerges, (2) on average, individuals swim faster thanks to the fluid, and (3) the flow enhances behavioral noise. The results of this model suggest that hydrodynamic effects should be considered to fully understand the collective dynamics of fish.

Magnetically charged calorons with non-trivial holonomy

Science.gov (United States)

Kato, Takumi; Nakamula, Atsushi; Takesue, Koki

2018-06-01

Instantons in pure Yang-Mills theories on partially periodic space R^3× {S}^1 are usually called calorons. The background periodicity brings on characteristic features of calorons such as non-trivial holonomy, which plays an essential role for confinement/deconfinement transition in pure Yang-Mills gauge theory. For the case of gauge group SU(2), calorons can be interpreted as composite objects of two constituent "monopoles" with opposite magnetic charges. There are often the cases that the two monopole charges are unbalanced so that the calorons possess net magnetic charge in R3. In this paper, we consider several mechanism how such net magnetic charges appear for certain types of calorons through the ADHM/Nahm construction with explicit examples. In particular, we construct analytically the gauge configuration of the (2 , 1)-caloron with U(1)-symmetry, which has intrinsically magnetic charge.

Quasilinear Elliptic Equations with Hardy-Sobolev Critical Exponents: Existence and Multiplicity of Nontrivial Solutions

Directory of Open Access Journals (Sweden)

Guanwei Chen

2014-01-01

Full Text Available We study the existence of positive solutions and multiplicity of nontrivial solutions for a class of quasilinear elliptic equations by using variational methods. Our obtained results extend some existing ones.

Analyticity of event horizons of five-dimensional multi-black holes with nontrivial asymptotic structure

International Nuclear Information System (INIS)

Kimura, Masashi

2008-01-01

We show that there exist five-dimensional multi-black hole solutions which have analytic event horizons when the space-time has nontrivial asymptotic structure, unlike the case of five-dimensional multi-black hole solutions in asymptotically flat space-time.

Emergent collective decision-making: Control, model and behavior

Science.gov (United States)

Shen, Tian

In this dissertation we study emergent collective decision-making in social groups with time-varying interactions and heterogeneously informed individuals. First we analyze a nonlinear dynamical systems model motivated by animal collective motion with heterogeneously informed subpopulations, to examine the role of uninformed individuals. We find through formal analysis that adding uninformed individuals in a group increases the likelihood of a collective decision. Secondly, we propose a model for human shared decision-making with continuous-time feedback and where individuals have little information about the true preferences of other group members. We study model equilibria using bifurcation analysis to understand how the model predicts decisions based on the critical threshold parameters that represent an individual's tradeoff between social and environmental influences. Thirdly, we analyze continuous-time data of pairs of human subjects performing an experimental shared tracking task using our second proposed model in order to understand transient behavior and the decision-making process. We fit the model to data and show that it reproduces a wide range of human behaviors surprisingly well, suggesting that the model may have captured the mechanisms of observed behaviors. Finally, we study human behavior from a game-theoretic perspective by modeling the aforementioned tracking task as a repeated game with incomplete information. We show that the majority of the players are able to converge to playing Nash equilibrium strategies. We then suggest with simulations that the mean field evolution of strategies in the population resemble replicator dynamics, indicating that the individual strategies may be myopic. Decisions form the basis of control and problems involving deciding collectively between alternatives are ubiquitous in nature and in engineering. Understanding how multi-agent systems make decisions among alternatives also provides insight for designing

Collective signaling behavior in a networked-oscillator model

Science.gov (United States)

Liu, Z.-H.; Hui, P. M.

2007-09-01

We propose and study the collective behavior of a model of networked signaling objects that incorporates several ingredients of real-life systems. These ingredients include spatial inhomogeneity with grouping of signaling objects, signal attenuation with distance, and delayed and impulsive coupling between non-identical signaling objects. Depending on the coupling strength and/or time-delay effect, the model exhibits completely, partially, and locally collective signaling behavior. In particular, a correlated signaling (CS) behavior is observed in which there exist time durations when nearly a constant fraction of oscillators in the system are in the signaling state. These time durations are much longer than the duration of a spike when a single oscillator signals, and they are separated by regular intervals in which nearly all oscillators are silent. Such CS behavior is similar to that observed in biological systems such as fireflies, cicadas, crickets, and frogs. The robustness of the CS behavior against noise is also studied. It is found that properly adjusting the coupling strength and noise level could enhance the correlated behavior.

Inform: Efficient Information-Theoretic Analysis of Collective Behaviors

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Douglas G. Moore

2018-06-01

Full Text Available The study of collective behavior has traditionally relied on a variety of different methodological tools ranging from more theoretical methods such as population or game-theoretic models to empirical ones like Monte Carlo or multi-agent simulations. An approach that is increasingly being explored is the use of information theory as a methodological framework to study the flow of information and the statistical properties of collectives of interacting agents. While a few general purpose toolkits exist, most of the existing software for information theoretic analysis of collective systems is limited in scope. We introduce Inform, an open-source framework for efficient information theoretic analysis that exploits the computational power of a C library while simplifying its use through a variety of wrappers for common higher-level scripting languages. We focus on two such wrappers here: PyInform (Python and rinform (R. Inform and its wrappers are cross-platform and general-purpose. They include classical information-theoretic measures, measures of information dynamics and information-based methods to study the statistical behavior of collective systems, and expose a lower-level API that allow users to construct measures of their own. We describe the architecture of the Inform framework, study its computational efficiency and use it to analyze three different case studies of collective behavior: biochemical information storage in regenerating planaria, nest-site selection in the ant Temnothorax rugatulus, and collective decision making in multi-agent simulations.

Bounded rationality, information, legal protection, and non-trivial contractual problems: Their influence on interorganizational relations

DEFF Research Database (Denmark)

Koch, Carsten Allan

This paper attempts to generalize findings of the traditional literature of transaction cost economics (Willamson, 1971, 1973, 1975, 1985; Ouchi, 1980; Williamson & Ouchi 1981) by introducing more general factors or variables. Two of the most important of these are that asset specificity is repla......This paper attempts to generalize findings of the traditional literature of transaction cost economics (Willamson, 1971, 1973, 1975, 1985; Ouchi, 1980; Williamson & Ouchi 1981) by introducing more general factors or variables. Two of the most important of these are that asset specificity...... is replaced by a more general condition, vulnerability, and that the so-called market failure condition is replaced by a condition called contractual non-triviality. Sufficient conditions for non-triviality are found in terms of specific set of values for the basic set of factors....

Active Mesogenic Droplets: Impact of Liquid Crystallinity and Collective Behavior

Science.gov (United States)

Bahr, Christian

Droplets of common mesogenic compounds show a self-propelled motion when immersed in aqueous solutions containing ionic surfactants at concentrations well above the critical micelle concentration. After introducing some general properties of this type of artificial microswimmer, we focus on two topics: the influence of liquid crystallinity on the swimming behavior and the collective behavior of ensembles of a larger number of droplets. The mesogenic properties are not essential for the basic mechanism of self-propulsion, nevertheless they considerably influence the swimming behavior of the droplets. For instance, the shape of the trajectories strongly depends on whether the droplets are in the nematic or isotropic state. The droplet swimmers are also ideally suited for the study of collective behavior: Microfluidics enables the generation of large numbers of identical swimmers and we can tune their buoyancy. We report on the collective behavior in three-dimensional environments. Supported by the Deutsche Forschungsgemeinschaft (SPP 1726 ``Microswimmers'').

On effective temperature in network models of collective behavior

International Nuclear Information System (INIS)

Porfiri, Maurizio; Ariel, Gil

2016-01-01

Collective behavior of self-propelled units is studied analytically within the Vectorial Network Model (VNM), a mean-field approximation of the well-known Vicsek model. We propose a dynamical systems framework to study the stochastic dynamics of the VNM in the presence of general additive noise. We establish that a single parameter, which is a linear function of the circular mean of the noise, controls the macroscopic phase of the system—ordered or disordered. By establishing a fluctuation–dissipation relation, we posit that this parameter can be regarded as an effective temperature of collective behavior. The exact critical temperature is obtained analytically for systems with small connectivity, equivalent to low-density ensembles of self-propelled units. Numerical simulations are conducted to demonstrate the applicability of this new notion of effective temperature to the Vicsek model. The identification of an effective temperature of collective behavior is an important step toward understanding order–disorder phase transitions, informing consistent coarse-graining techniques and explaining the physics underlying the emergence of collective phenomena.

Self-ordering of nontrivial topological polarization structures in nanoporous ferroelectrics.

Science.gov (United States)

Van Lich, Le; Shimada, Takahiro; Wang, Jie; Kitamura, Takayuki

2017-10-19

Topological field structures, such as skyrmions, merons, and vortices, are important features found in ordered systems with spontaneously broken symmetry. A plethora of topological field structures have been discovered in magnetic and ordered soft matter systems due to the presence of inherent chiral interactions, and this has provided a fruitful platform for unearthing additional groundbreaking functionalities. However, despite being one of the most important classes of ordered systems, ferroelectrics scarcely form topological polarization structures due to their lack of intrinsic chiral interactions. In the present study, we demonstrate using multiphysics phase-field modelling based on the Ginzburg-Landau theory that a rich assortment of nontrivial topological polarization structures, including hedgehogs, antivortices, multidirectional vortices, and vortex arrays, can be spontaneously formed in three-dimensional nanoporous ferroelectric structures. We realize that confining ferroelectrics to trivial geometries that are incompatible with the orientation symmetry may impose extrinsic frustration to the polarization field through the enhancement of depolarization fields at free porous surfaces. This frustration gives rise to symmetry breaking, resulting in the formation of nontrivial topological polarization structures as the ground state. We further topologically characterize the local accommodation of polarization structures by viewing them in a new perspective, in which polarization ordering can be mapped on the order parameter space, according to the topological theory of defects and homotopy theory. The results indicate that the nanoporous structures contain composite topological objects composed of two or more elementary topological polarization structures. The present study therefore offers a playground for exploring novel physical phenomena in ferroelectric systems as well as a novel nanoelectronics characterization platform for future topology

Modeling collective animal behavior with a cognitive perspective: a methodological framework.

Directory of Open Access Journals (Sweden)

Sebastian Weitz

Full Text Available The last decades have seen an increasing interest in modeling collective animal behavior. Some studies try to reproduce as accurately as possible the collective dynamics and patterns observed in several animal groups with biologically plausible, individual behavioral rules. The objective is then essentially to demonstrate that the observed collective features may be the result of self-organizing processes involving quite simple individual behaviors. Other studies concentrate on the objective of establishing or enriching links between collective behavior researches and cognitive or physiological ones, which then requires that each individual rule be carefully validated. Here we discuss the methodological consequences of this additional requirement. Using the example of corpse clustering in ants, we first illustrate that it may be impossible to discriminate among alternative individual rules by considering only observational data collected at the group level. Six individual behavioral models are described: They are clearly distinct in terms of individual behaviors, they all reproduce satisfactorily the collective dynamics and distribution patterns observed in experiments, and we show theoretically that it is strictly impossible to discriminate two of these models even in the limit of an infinite amount of data whatever the accuracy level. A set of methodological steps are then listed and discussed as practical ways to partially overcome this problem. They involve complementary experimental protocols specifically designed to address the behavioral rules successively, conserving group-level data for the overall model validation. In this context, we highlight the importance of maintaining a sharp distinction between model enunciation, with explicit references to validated biological concepts, and formal translation of these concepts in terms of quantitative state variables and fittable functional dependences. Illustrative examples are provided of the

Manipulation resolves non-trivial structure of corrole monolayer on Ag(111)

International Nuclear Information System (INIS)

Tebi, Stefano; Serrano, Giulia; Koch, Reinhold; Müllegger, Stefan; Aldahhak, Hazem; Rauls, Eva; Schmidt, Wolf Gero; Schöfberger, Wolfgang

2016-01-01

Non-trivial arrangement of molecules within a molecular network complicates structure determination due to interdigitation, partial overlap, or stacking. We demonstrate that combined imaging and lateral manipulation with a scanning tunneling microscope resolves the intricate structure of a molecular network in two-dimensions in a straightforward manner. The network, formed by a monolayer of 5,10,15-tris(pentafluorophenyl)-corrole molecules on Ag(111), is manipulated for the first time with single-molecule precision. Our results reveal a shingle-like packing of partially overlapping corrole molecules. Density functional theory calculations support our findings. (paper)

NMR Evidence for the Topologically Nontrivial Nature in a Family of Half-Heusler Compounds

KAUST Repository

Zhang, Xiaoming

2016-03-16

Spin-orbit coupling (SOC) is expected to partly determine the topologically nontrivial electronic structure of heavy half-Heusler ternary compounds. However, to date, attempts to experimentally observe either the strength of SOC or how it modifies the bulk band structure have been unsuccessful. By using bulk-sensitive nuclear magnetic resonance (NMR) spectroscopy combined with first-principles calculations, we reveal that 209Bi NMR isotropic shifts scale with relativity in terms of the strength of SOC and average atomic numbers, indicating strong relativistic effects on NMR parameters. According to first-principles calculations, we further claim that nuclear magnetic shieldings from relativistic p1/2 states and paramagnetic contributions from low-lying unoccupied p3/2 states are both sensitive to the details of band structures tuned by relativity, which explains why the hidden relativistic effects on band structure can be revealed by 209Bi NMR isotropic shifts in topologically nontrivial half-Heusler compounds. Used in complement to surface-sensitive methods, such as angle resolved photon electron spectroscopy and scanning tunneling spectroscopy, NMR can provide valuable information on bulk electronic states.

NMR Evidence for the Topologically Nontrivial Nature in a Family of Half-Heusler Compounds

KAUST Repository

Zhang, Xiaoming; Hou, Zhipeng; Wang, Yue; Xu, Guizhou; Shi, Chenglong; Liu, EnKe; Xi, Xuekui; Wang, Wenhong; Wu, Guangheng; Zhang, Xixiang

2016-01-01

Spin-orbit coupling (SOC) is expected to partly determine the topologically nontrivial electronic structure of heavy half-Heusler ternary compounds. However, to date, attempts to experimentally observe either the strength of SOC or how it modifies the bulk band structure have been unsuccessful. By using bulk-sensitive nuclear magnetic resonance (NMR) spectroscopy combined with first-principles calculations, we reveal that 209Bi NMR isotropic shifts scale with relativity in terms of the strength of SOC and average atomic numbers, indicating strong relativistic effects on NMR parameters. According to first-principles calculations, we further claim that nuclear magnetic shieldings from relativistic p1/2 states and paramagnetic contributions from low-lying unoccupied p3/2 states are both sensitive to the details of band structures tuned by relativity, which explains why the hidden relativistic effects on band structure can be revealed by 209Bi NMR isotropic shifts in topologically nontrivial half-Heusler compounds. Used in complement to surface-sensitive methods, such as angle resolved photon electron spectroscopy and scanning tunneling spectroscopy, NMR can provide valuable information on bulk electronic states.

Collective Behavior of Water on Platinum

Science.gov (United States)

Limmer, David; Willard, Adam; Chandler, David

2012-02-01

We present the results of molecular dynamics simulations of a interface between water and a platinum electrode. Using importance sampling techniques we probe a variety of collective phenomenon that emerge at the interface. We consider platinum electrodes with two different geometries and discuss how different behaviors result from a competition between geometrical frustration and favorable local interactions.

Nontrivial correlation between the CKM and MNS matrices

International Nuclear Information System (INIS)

Xing Zhizhong

2005-01-01

We point out that the Cabibbo-Kobayashi-Maskawa (CKM) quark mixing matrix V CKM and the Maki-Nakagawa-Sakata (MNS) lepton mixing matrix V MNS can naturally be correlated in a class of seesaw models if the Dirac neutrino mass matrix and the up-type quark mass matrix are symmetric and identical, but the texture of their correlation matrix F ν is rather nontrivial. The bimaximal mixing pattern of F ν is disfavored by current data, and other special forms of F ν may suffer from fine-tuning of the free phase parameters in fitting the so-called quark-lepton complementarity relation. A straightforward calculation of F ν in terms of V CKM and V MNS reveals a striking feature of F ν : its (1,3) element cannot be zero or too small, no matter whether the (1,3) elements of V CKM and V MNS are vanishing or not. We also add some brief comments on possible radiative corrections to V CKM and V MNS

Influence of vertex weight on cooperative behavior in a spatial snowdrift game

Energy Technology Data Exchange (ETDEWEB)

Xia, C Y; Zhao, J; Zhang, H [Laboratory of Computer Vision and Systems, Tianjin University of Technology, Ministry of Education, Tianjin 300191 (China); Wang, J [Tianjin Key Laboratory of Control Theory and Applications in Complicated Industry Systems, Tianjin University of Technology, Tianjin 300191 (China); Wang, Y L, E-mail: xialooking@163.com, E-mail: juanwang75@163.com, E-mail: hzhang@tjut.edu.cn [School of Life Science, Shanxi Normal University, Linfen, Shanxi 041000 (China)

2011-08-01

In this paper the vertex weight is introduced into a snowdrift game to study the evolution of cooperative behavior. Compared with the snowdrift game in a traditional square lattice without any weight, cooperation can be promoted under three types of weight distribution: uniform, exponential and power-law distribution. For an intermediate cost-to-benefit ratio (r), in particular, the facilitation effect of cooperation is obvious. Moreover, the influence of undulation amplitude of weight distribution and the noise strength of strategy selection on cooperative behavior are also investigated. They exhibit a nontrivial phenomenon as a function of r. The results are helpful in analyzing and understanding the emergence of collective cooperation that is found widely in many natural and social systems.

Influence of vertex weight on cooperative behavior in a spatial snowdrift game

International Nuclear Information System (INIS)

Xia, C Y; Zhao, J; Zhang, H; Wang, J; Wang, Y L

2011-01-01

In this paper the vertex weight is introduced into a snowdrift game to study the evolution of cooperative behavior. Compared with the snowdrift game in a traditional square lattice without any weight, cooperation can be promoted under three types of weight distribution: uniform, exponential and power-law distribution. For an intermediate cost-to-benefit ratio (r), in particular, the facilitation effect of cooperation is obvious. Moreover, the influence of undulation amplitude of weight distribution and the noise strength of strategy selection on cooperative behavior are also investigated. They exhibit a nontrivial phenomenon as a function of r. The results are helpful in analyzing and understanding the emergence of collective cooperation that is found widely in many natural and social systems.

Artificial intelligence: Collective behaviors of synthetic micromachines

Science.gov (United States)

Duan, Wentao

Synthetic nano- and micromotors function through the conversion of chemical free energy or forms of energy into mechanical motion. Ever since the first reports, such motors have been the subject of growing interest. In addition to motility in response to gradients, these motors interact with each other, resulting in emergent collective behavior like schooling, exclusion, and predator-prey. However, most of these systems only exhibit a single type of collective behavior in response to a certain stimuli. The research projects in the disseratation aim at designing synthetic micromotors that can exhibit transition between various collective behaviors in response to different stimuli, as well as quantitative understanding on the pairwise interaction and propulsion mechanism of such motors. Chapter 1 offers an overview on development of synthetic micromachines. Interactions and collective behaviors of micromotors are also summarized and included. Chapter 2 presents a silver orthophosphate microparticle system that exhibits collective behaviors. Transition between two collective patterns, clustering and dispersion, can be triggered by shift in chemical equilibrium upon the addition or removal of ammonia, in response to UV light, or under two orthogonal stimuli (UV and acoustic field) and powering mechanisms. The transitions can be explained by the self-diffusiophoresis mechanism resulting from either ionic or neutral solute gradients. Potential applications of the reported system in logic gates, microscale pumping, and hierarchical assembly have been demonstrated. Chapter 3 introduces a self-powered oscillatory micromotor system in which active colloids form clusters whose size changes periodically. The system consists of an aqueous suspension of silver orthophosphate particles under UV radiation, in the presence of a mixture of glucose and hydrogen peroxide. The colloid particles first attract with each other to form clusters. After a lag time of around 5min, chemical

An Algorithm for Global Optimization Inspired by Collective Animal Behavior

Directory of Open Access Journals (Sweden)

Erik Cuevas

2012-01-01

Full Text Available A metaheuristic algorithm for global optimization called the collective animal behavior (CAB is introduced. Animal groups, such as schools of fish, flocks of birds, swarms of locusts, and herds of wildebeest, exhibit a variety of behaviors including swarming about a food source, milling around a central locations, or migrating over large distances in aligned groups. These collective behaviors are often advantageous to groups, allowing them to increase their harvesting efficiency, to follow better migration routes, to improve their aerodynamic, and to avoid predation. In the proposed algorithm, the searcher agents emulate a group of animals which interact with each other based on the biological laws of collective motion. The proposed method has been compared to other well-known optimization algorithms. The results show good performance of the proposed method when searching for a global optimum of several benchmark functions.

A cluster phase analysis for collective behavior in team sports.

Science.gov (United States)

López-Felip, Maurici A; Davis, Tehran J; Frank, Till D; Dixon, James A

2018-06-01

Collective behavior can be defined as the ability of humans to coordinate with others through a complex environment. Sports offer exquisite examples of this dynamic interplay, requiring decision making and other perceptual-cognitive skills to adjust individual decisions to the team self-organization and vice versa. Considering players of a team as periodic phase oscillators, synchrony analyses can be used to model the coordination of a team. Nonetheless, a main limitation of current models is that collective behavior is context independent. In other words, players on a team can be highly synchronized without this corresponding to a meaningful coordination dynamics relevant to the context of the game. Considering these issues, the aim of this study was to develop a method of analysis sensitive to the context for evidence-based measures of collective behavior. Copyright © 2018 Elsevier B.V. All rights reserved.

Imprints of spherical nontrivial topologies on the cosmic microwave background.

Science.gov (United States)

Niarchou, Anastasia; Jaffe, Andrew

2007-08-24

The apparent low power in the cosmic microwave background (CMB) temperature anisotropy power spectrum derived from the Wilkinson Microwave Anisotropy Probe motivated us to consider the possibility of a nontrivial topology. We focus on simple spherical multiconnected manifolds and discuss their implications for the CMB in terms of the power spectrum, maps, and the correlation matrix. We perform a Bayesian model comparison against the fiducial best-fit cold dark matter model with a cosmological constant based both on the power spectrum and the correlation matrix to assess their statistical significance. We find that the first-year power spectrum shows a slight preference for the truncated cube space, but the three-year data show no evidence for any of these spaces.

Role of space--time topology in quantum phenomena: Superselection of charge and emergence of nontrivial vacua

International Nuclear Information System (INIS)

Ashtekar, A.; Sen, A.

1980-01-01

Schwarzschild--Kruskal space--time admits a two-parameter family of everywhere regular, static, source-free Maxwell fields. It is shown that there exists a corresponding two-parameter family of unitarily inequivalent representations of the canonical commutation relations. Elements of the underlying Hilbert space may be interpreted as ''quantum fluctuations of the Maxwell field off nontrivial classical vacua.'' The representation corresponding to the ''trivial'' sector: i.e., the zero classical solution: is the usual Fock representation. All others are ''non-Fock.'' In particular, in all other sectors, the Maxwell field develops a nonzero vacuum expectation value. The parameters labelling the family can be interpreted as electric and magnetic charges. Therefore, unitary inequivalence naturally leads to superselection rules for these charges. These features arise in spite of the linearity of field equations only because the space--time topology is ''nontrivial.'' Also, because of linearity, an exact analysis is possible at the quantum level; recourse to perturbation theory is unnecessary

High-order noise filtering in nontrivial quantum logic gates.

Science.gov (United States)

Green, Todd; Uys, Hermann; Biercuk, Michael J

2012-07-13

Treating the effects of a time-dependent classical dephasing environment during quantum logic operations poses a theoretical challenge, as the application of noncommuting control operations gives rise to both dephasing and depolarization errors that must be accounted for in order to understand total average error rates. We develop a treatment based on effective Hamiltonian theory that allows us to efficiently model the effect of classical noise on nontrivial single-bit quantum logic operations composed of arbitrary control sequences. We present a general method to calculate the ensemble-averaged entanglement fidelity to arbitrary order in terms of noise filter functions, and provide explicit expressions to fourth order in the noise strength. In the weak noise limit we derive explicit filter functions for a broad class of piecewise-constant control sequences, and use them to study the performance of dynamically corrected gates, yielding good agreement with brute-force numerics.

Macroenvironmental regulation of hair cycling and collective regenerative behavior.

Science.gov (United States)

Plikus, Maksim V; Chuong, Cheng-Ming

2014-01-01

The hair follicle (HF) regeneration paradigm provides a unique opportunity for studying the collective behavior of stem cells in living animals. Activation of HF stem cells depends on the core inhibitory BMP and activating WNT signals operating within the HF microenvironment. Additionally, HFs receive multilayered signaling inputs from the extrafollicular macroenvironment, which includes dermis, adipocytes, neighboring HFs, hormones, and external stimuli. These activators/inhibitors are integrated across multiple stem-cell niches to produce dynamic hair growth patterns. Because of their pigmentation, these patterns can be easily studied on live shaved animals. Comparing to autonomous regeneration of one HF, populations of HFs display coupled decision making, allowing for more robust and adaptable regenerative behavior to occur collectively. The generic cellular automata model used to simulate coordinated HF cycling here can be extended to study population-level behavior of other complex biological systems made of cycling elements.

Radiative seesaw-type mechanism of fermion masses and non-trivial quark mixing

Energy Technology Data Exchange (ETDEWEB)

Arbelaez, Carolina; Hernandez, A.E.C.; Kovalenko, Sergey; Schmidt, Ivan [Universidad Tecnica Federico Santa Maria, Centro Cientifico-Tecnologico de Valparaiso-CCTVal, Valparaiso (Chile)

2017-06-15

We propose a predictive inert two-Higgs doublet model, where the standard model (SM) symmetry is extended by S{sub 3} x Z{sub 2} x Z{sub 12} and the field content is enlarged by extra scalar fields, charged exotic fermions and two heavy right-handed Majorana neutrinos. The charged exotic fermions generate a non-trivial quark mixing and provide one-loop-level masses for the first- and second-generation charged fermions. The masses of the light active neutrinos are generated from a one-loop-level radiative seesaw mechanism. Our model successfully explains the observed SM fermion mass and mixing pattern. (orig.)

76 FR 43265 - Proposed Information Collection; Comment Request; Evacuation Movement and Behavior Questionnaire

Science.gov (United States)

2011-07-20

... DEPARTMENT OF COMMERCE National Institute of Standards and Technology Proposed Information Collection; Comment Request; Evacuation Movement and Behavior Questionnaire AGENCY: National Institute of... collecting data on evacuation behavior and movement of occupants from approximately 50 high-rise building...

Collective behavior of light in vacuum

Science.gov (United States)

Briscese, Fabio

2018-03-01

Under the action of light-by-light scattering, light beams show collective behaviors in vacuum. For instance, in the case of two counterpropagating laser beams with specific initial helicity, the polarization of each beam oscillates periodically between the left and right helicity. Furthermore, the amplitudes and the corresponding intensities of each polarization propagate like waves. Such polarization waves might be observationally accessible in future laser experiments, in a physical regime complementary to those explored by particle accelerators.

Collective behavior of mice passing through an exit under panic

Science.gov (United States)

Zhang, Teng; Zhang, Xuelin; Huang, Shenshi; Li, Changhai; Lu, Shouxiang

2018-04-01

Collective movement of animal in emergency condition has attracted growing attentions among researchers. However, many rules still need to be confirmed with adequate explanation. Study of collective behavior of mice can improve our understanding about the dynamics of pedestrian movement. However, its rules still need to be confirmed with adequate explanation. In this paper, collective behavior of mice passing through an exit under panic was investigated. The results showed that the total evacuation time decreased with exit width increasing in a certain range. Based on the different tendency of the curve in temporal evolution, the process of mice flow was divided into three stages. The density of mice near the exit peaks at a certain horizontal offset and starts to decrease over time. With the increase of the exit width, the duration of the higher density state decreased. We found that the frequency of time intervals obeyed a lognormal distribution or an exponential decay for different exit widths. In addition, the relationship between the group size and the group flow rate in different scenarios was analyzed. The phenomena found in our experiments show the collective behavioral characteristic of mice under panic. Our analysis in this paper will deepen our understanding of crowd dynamics in emergency condition.

Seasonality directs contrasting food collection behavior and nutrient regulation strategies in ants.

Science.gov (United States)

Cook, Steven C; Eubanks, Micky D; Gold, Roger E; Behmer, Spencer T

2011-01-01

Long-lived animals, including social insects, often display seasonal shifts in foraging behavior. Foraging is ultimately a nutrient consumption exercise, but the effect of seasonality per se on changes in foraging behavior, particularly as it relates to nutrient regulation, is poorly understood. Here, we show that field-collected fire ant colonies, returned to the laboratory and maintained under identical photoperiod, temperature, and humidity regimes, and presented with experimental foods that had different protein (p) to carbohydrate (c) ratios, practice summer- and fall-specific foraging behaviors with respect to protein-carbohydrate regulation. Summer colonies increased the amount of food collected as the p:c ratio of their food became increasingly imbalanced, but fall colonies collected similar amounts of food regardless of the p:c ratio of their food. Choice experiments revealed that feeding was non-random, and that both fall and summer ants preferred carbohydrate-biased food. However, ants rarely ate all the food they collected, and their cached or discarded food always contained little carbohydrate relative to protein. From a nutrient regulation strategy, ants consumed most of the carbohydrate they collected, but regulated protein consumption to a similar level, regardless of season. We suggest that varied seasonal food collection behaviors and nutrient regulation strategies may be an adaptation that allows long-lived animals to meet current and future nutrient demands when nutrient-rich foods are abundant (e.g. spring and summer), and to conserve energy and be metabolically more efficient when nutritionally balanced foods are less abundant.

Mob control models of threshold collective behavior

CERN Document Server

Breer, Vladimir V; Rogatkin, Andrey D

2017-01-01

This book presents mathematical models of mob control with threshold (conformity) collective decision-making of the agents. Based on the results of analysis of the interconnection between the micro- and macromodels of active network structures, it considers the static (deterministic, stochastic and game-theoretic) and dynamic (discrete- and continuous-time) models of mob control, and highlights models of informational confrontation. Many of the results are applicable not only to mob control problems, but also to control problems arising in social groups, online social networks, etc. Aimed at researchers and practitioners, it is also a valuable resource for undergraduate and postgraduate students as well as doctoral candidates specializing in the field of collective behavior modeling.

COLLECTIVE VORTEX BEHAVIORS: DIVERSITY, PROXIMATE, AND ULTIMATE CAUSES OF CIRCULAR ANIMAL GROUP MOVEMENTS.

Science.gov (United States)

Delcourt, Johann; Bode, Nikolai W F; Denoël, Mathieu

2016-03-01

Ant mill, caterpillar circle, bat doughnut, amphibian vortex, duck swirl, and fish torus are different names for rotating circular animal formations, where individuals turn around a common center. These "collective vortex behaviors" occur at different group sizes from pairs to several million individuals and have been reported in a large number of organisms, from bacteria to vertebrates, including humans. However, to date, no comprehensive review and synthesis of the literature on vortex behaviors has been conducted. Here, we review the state of the art of the proximate and ultimate causes of vortex behaviors. The ubiquity of this behavioral phenomenon could suggest common causes or fundamental underlying principles across contexts. However, we find that a variety of proximate mechanisms give rise to vortex behaviors. We highlight the potential benefits of collective vortex behaviors to individuals involved in them. For example, in some species, vortices increase feeding efficiency and could give protection against predators. It has also been argued that vortices could improve collective decision-making and information transfer. We highlight gaps in our understanding of these ubiquitous behavioral phenomena and discuss future directions for research in vortex studies.

Engineering Sensorial Delay to Control Phototaxis and Emergent Collective Behaviors

Directory of Open Access Journals (Sweden)

Mite Mijalkov

2016-01-01

Full Text Available Collective motions emerging from the interaction of autonomous mobile individuals play a key role in many phenomena, from the growth of bacterial colonies to the coordination of robotic swarms. For these collective behaviors to take hold, the individuals must be able to emit, sense, and react to signals. When dealing with simple organisms and robots, these signals are necessarily very elementary; e.g., a cell might signal its presence by releasing chemicals and a robot by shining light. An additional challenge arises because the motion of the individuals is often noisy; e.g., the orientation of cells can be altered by Brownian motion and that of robots by an uneven terrain. Therefore, the emphasis is on achieving complex and tunable behaviors from simple autonomous agents communicating with each other in robust ways. Here, we show that the delay between sensing and reacting to a signal can determine the individual and collective long-term behavior of autonomous agents whose motion is intrinsically noisy. We experimentally demonstrate that the collective behavior of a group of phototactic robots capable of emitting a radially decaying light field can be tuned from segregation to aggregation and clustering by controlling the delay with which they change their propulsion speed in response to the light intensity they measure. We track this transition to the underlying dynamics of this system, in particular, to the ratio between the robots’ sensorial delay time and the characteristic time of the robots’ random reorientation. Supported by numerics, we discuss how the same mechanism can be applied to control active agents, e.g., airborne drones, moving in a three-dimensional space. Given the simplicity of this mechanism, the engineering of sensorial delay provides a potentially powerful tool to engineer and dynamically tune the behavior of large ensembles of autonomous mobile agents; furthermore, this mechanism might already be at work within

Seasonality directs contrasting food collection behavior and nutrient regulation strategies in ants.

Directory of Open Access Journals (Sweden)

Steven C Cook

Full Text Available Long-lived animals, including social insects, often display seasonal shifts in foraging behavior. Foraging is ultimately a nutrient consumption exercise, but the effect of seasonality per se on changes in foraging behavior, particularly as it relates to nutrient regulation, is poorly understood. Here, we show that field-collected fire ant colonies, returned to the laboratory and maintained under identical photoperiod, temperature, and humidity regimes, and presented with experimental foods that had different protein (p to carbohydrate (c ratios, practice summer- and fall-specific foraging behaviors with respect to protein-carbohydrate regulation. Summer colonies increased the amount of food collected as the p:c ratio of their food became increasingly imbalanced, but fall colonies collected similar amounts of food regardless of the p:c ratio of their food. Choice experiments revealed that feeding was non-random, and that both fall and summer ants preferred carbohydrate-biased food. However, ants rarely ate all the food they collected, and their cached or discarded food always contained little carbohydrate relative to protein. From a nutrient regulation strategy, ants consumed most of the carbohydrate they collected, but regulated protein consumption to a similar level, regardless of season. We suggest that varied seasonal food collection behaviors and nutrient regulation strategies may be an adaptation that allows long-lived animals to meet current and future nutrient demands when nutrient-rich foods are abundant (e.g. spring and summer, and to conserve energy and be metabolically more efficient when nutritionally balanced foods are less abundant.

Renormalization group improved computation of correlation functions in theories with nontrivial phase diagram

DEFF Research Database (Denmark)

Codello, Alessandro; Tonero, Alberto

2016-01-01

We present a simple and consistent way to compute correlation functions in interacting theories with nontrivial phase diagram. As an example we show how to consistently compute the four-point function in three dimensional Z2-scalar theories. The idea is to perform the path integral by weighting...... the momentum modes that contribute to it according to their renormalization group (RG) relevance, i.e. we weight each mode according to the value of the running couplings at that scale. In this way, we are able to encode in a loop computation the information regarding the RG trajectory along which we...

Measuring and modeling behavioral decision dynamics in collective evacuation.

Directory of Open Access Journals (Sweden)

Jean M Carlson

Full Text Available Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In a controlled laboratory setting, our results quantify several key factors influencing individual evacuation decision making in a controlled laboratory setting. The experiment includes tensions between broadcast and peer-to-peer information, and contrasts the effects of temporal urgency associated with the imminence of the disaster and the effects of limited shelter capacity for evacuees. Based on empirical measurements of the cumulative rate of evacuations as a function of the instantaneous disaster likelihood, we develop a quantitative model for decision making that captures remarkably well the main features of observed collective behavior across many different scenarios. Moreover, this model captures the sensitivity of individual- and population-level decision behaviors to external pressures, and systematic deviations from the model provide meaningful estimates of variability in the collective response. Identification of robust methods for quantifying human decisions in the face of risk has implications for policy in disasters and other threat scenarios, specifically the development and testing of robust strategies for training and control of evacuations that account for human behavior and network topologies.

Quantitative analysis of bloggers' collective behavior powered by emotions

Science.gov (United States)

Mitrović, Marija; Paltoglou, Georgios; Tadić, Bosiljka

2011-02-01

Large-scale data resulting from users' online interactions provide the ultimate source of information to study emergent social phenomena on the Web. From individual actions of users to observable collective behaviors, different mechanisms involving emotions expressed in the posted text play a role. Here we combine approaches of statistical physics with machine-learning methods of text analysis to study the emergence of emotional behavior among Web users. Mapping the high-resolution data from digg.com onto bipartite networks of users and their comments onto posted stories, we identify user communities centered around certain popular posts and determine emotional contents of the related comments by the emotion classifier developed for this type of text. Applied over different time periods, this framework reveals strong correlations between the excess of negative emotions and the evolution of communities. We observe avalanches of emotional comments exhibiting significant self-organized critical behavior and temporal correlations. To explore the robustness of these critical states, we design a network-automaton model on realistic network connections and several control parameters, which can be inferred from the dataset. Dissemination of emotions by a small fraction of very active users appears to critically tune the collective states.

A persistent homology approach to collective behavior in insect swarms

Science.gov (United States)

Sinhuber, Michael; Ouellette, Nicholas T.

Various animals from birds and fish to insects tend to form aggregates, displaying self-organized collective swarming behavior. Due to their frequent occurrence in nature and their implications for engineered, collective systems, these systems have been investigated and modeled thoroughly for decades. Common approaches range from modeling them with coupled differential equations on the individual level up to continuum approaches. We present an alternative, topology-based approach for describing swarming behavior at the macroscale rather than the microscale. We study laboratory swarms of Chironomus riparius, a flying, non-biting midge. To obtain the time-resolved three-dimensional trajectories of individual insects, we use a multi-camera stereoimaging and particle-tracking setup. To investigate the swarming behavior in a topological sense, we employ a persistent homology approach to identify persisting structures and features in the insect swarm that elude a direct, ensemble-averaging approach. We are able to identify features of sub-clusters in the swarm that show behavior distinct from that of the remaining swarm members. The coexistence of sub-swarms with different features resembles some non-biological systems such as active colloids or even thermodynamic systems.

Future foam: Nontrivial topology from bubble collisions in eternal inflation

International Nuclear Information System (INIS)

Bousso, Raphael; Freivogel, Ben; Yang, I-S.; Sekino, Yasuhiro; Shenker, Stephen; Susskind, Leonard; Yeh, C.-P.

2008-01-01

We study pocket universes which have zero cosmological constant and nontrivial boundary topology. These arise from bubble collisions in eternal inflation. Using a simplified dust model of collisions we find that boundaries of any genus can occur. Using a radiation shell model we perform analytic studies in the thin-wall limit to show the existence of geometries with a single toroidal boundary. We give plausibility arguments that higher genus boundaries can also occur. In geometries with one boundary of any genus a timelike observer can see the entire boundary. Geometries with multiple disconnected boundaries can also occur. In the spherical case with two boundaries the boundaries are separated by a horizon. Our results suggest that the holographic dual description for eternal inflation, proposed by Freivogel, Sekino, Susskind and Yeh, should include summation over the genus of the base space of the dual conformal field theory. We point out peculiarities of this genus expansion compared to the string perturbation series.

Replication of Non-Trivial Directional Motion in Multi-Scales Observed by the Runs Test

Science.gov (United States)

Yura, Yoshihiro; Ohnishi, Takaaki; Yamada, Kenta; Takayasu, Hideki; Takayasu, Misako

Non-trivial autocorrelation in up-down statistics in financial market price fluctuation is revealed by a multi-scale runs test(Wald-Wolfowitz test). We apply two models, a stochastic price model and dealer model to understand this property. In both approaches we successfully reproduce the non-stationary directional price motions consistent with the runs test by tuning parameters in the models. We find that two types of dealers exist in the markets, a short-time-scale trend-follower and an extended-time-scale contrarian who are active in different time periods.

Array-Enhanced Coherence Resonance: Nontrivial Effects of Heterogeneity and Spatial Independence of Noise

International Nuclear Information System (INIS)

Zhou, Changsong; Kurths, Juergen; Hu, Bambi

2001-01-01

We demonstrate the effect of coherence resonance in a heterogeneous array of coupled Fitz Hugh--Nagumo neurons. It is shown that coupling of such elements leads to a significantly stronger coherence compared to that of a single element. We report nontrivial effects of parameter heterogeneity and spatial independence of noise on array-enhanced coherence resonance; especially, we find that (i) the coherence increases as spatial correlation of the noise decreases, and (ii) inhomogeneity in the parameters of the array enhances the coherence. Our results have the implication that generic heterogeneity and background noise can play a constructive role to enhance the time precision of firing in neural systems

Grand unified theory precursors and nontrivial fixed points in higher-dimensional gauge theories

International Nuclear Information System (INIS)

Dienes, Keith R.; Dudas, Emilian; Gherghetta, Tony

2003-01-01

Within the context of traditional logarithmic grand unification at M GUT ≅10 16 GeV, we show that it is nevertheless possible to observe certain GUT states such as X and Y gauge bosons at lower scales, perhaps even in the TeV range. We refer to such states as 'GUT precursors'. These states offer an interesting alternative possibility for new physics at the TeV scale, and could be used to directly probe GUT physics even though the scale of gauge coupling unification remains high. Our results also give rise to a Kaluza-Klein realization of nontrivial fixed points in higher-dimensional gauge theories

Computing a Non-trivial Lower Bound on the Joint Entropy between Two Images

Energy Technology Data Exchange (ETDEWEB)

Perumalla, Kalyan S. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

2017-03-01

In this report, a non-trivial lower bound on the joint entropy of two non-identical images is developed, which is greater than the individual entropies of the images. The lower bound is the least joint entropy possible among all pairs of images that have the same histograms as those of the given images. New algorithms are presented to compute the joint entropy lower bound with a computation time proportional to S log S where S is the number of histogram bins of the images. This is faster than the traditional methods of computing the exact joint entropy with a computation time that is quadratic in S .

Dynamical Modeling of Collective Behavior from Pigeon Flight Data: Flock Cohesion and Dispersion

Science.gov (United States)

Xu, Xiao-Ke; Small, Michael

2012-01-01

Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer general rules for interaction, or lack of interaction, among members of a flock or, more generally, any community. Using experimental field measurements of homing pigeons in flight we demonstrate the existence of a basic distance dependent attraction/repulsion relationship and show that this rule is sufficient to explain collective behavior observed in nature. Positional data of individuals over time are used as input data to a computational algorithm capable of building complex nonlinear functions that can represent the system behavior. Topological nearest neighbor interactions are considered to characterize the components within this model. The efficacy of this method is demonstrated with simulated noisy data generated from the classical (two dimensional) Vicsek model. When applied to experimental data from homing pigeon flights we show that the more complex three dimensional models are capable of simulating trajectories, as well as exhibiting realistic collective dynamics. The simulations of the reconstructed models are used to extract properties of the collective behavior in pigeons, and how it is affected by changing the initial conditions of the system. Our results demonstrate that this approach may be applied to construct models capable of simulating trajectories and collective dynamics using experimental field measurements of herd movement. From these models, the behavior of the individual agents (animals) may be inferred. PMID:22479176

Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.

Directory of Open Access Journals (Sweden)

Graciano Dieck Kattas

Full Text Available Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer general rules for interaction, or lack of interaction, among members of a flock or, more generally, any community. Using experimental field measurements of homing pigeons in flight we demonstrate the existence of a basic distance dependent attraction/repulsion relationship and show that this rule is sufficient to explain collective behavior observed in nature. Positional data of individuals over time are used as input data to a computational algorithm capable of building complex nonlinear functions that can represent the system behavior. Topological nearest neighbor interactions are considered to characterize the components within this model. The efficacy of this method is demonstrated with simulated noisy data generated from the classical (two dimensional Vicsek model. When applied to experimental data from homing pigeon flights we show that the more complex three dimensional models are capable of simulating trajectories, as well as exhibiting realistic collective dynamics. The simulations of the reconstructed models are used to extract properties of the collective behavior in pigeons, and how it is affected by changing the initial conditions of the system. Our results demonstrate that this approach may be applied to construct models capable of simulating trajectories and collective dynamics using experimental field measurements of herd movement. From these models, the behavior of the individual agents (animals may be inferred.

Collecting real-time data with a behavioral simulation: A new methodological trait

DEFF Research Database (Denmark)

Jespersen, Kristina Risom

interactive methods of collecting data [1, 2]. To collect real-time data as opposed to retrospective data, new methodological traits are needed. The paper proposes that a behavioral simulation supported by Web technology is a valid new research strategy to handle the collection of real-time data. Adapting...... the knowledge on agent-based modeling [3, 4], a behavioral simulation synergizes the benefits of self-administered questionnaires and the experimental design, and furthermore, introduces role-playing [5, 6] and scenario [7-11] strategies as very effective methods to ensure high interaction with the respondents....... The Web technology is the key to make a simulation for data collection objectives 'light'. Additionally, Web technology can be a solution to some of the challenges facing the traditional research methodologies such as time, ease, flexibility and cost, but perhaps more interesting, a possible solution...

Effective action of heterotic compactification on K3 with non-trivial gauge bundles

International Nuclear Information System (INIS)

Schasny, Martin

2012-10-01

In this thesis we study the heterotic string compactified on K3 with non-trivial gauge bundles. We focus on two backgrounds, the well-known standard embedding and abelian line bundles. Using a Kaluza-Klein reduction, the six-dimensional effective action is computed up to terms of order α' 2 with special attention on the hypermultiplet sector. We compute the moduli dependent couplings of the matter fields and analyze the geometry of the hyperscalar sigma model. Moreover, we prove the consistency with six-dimensional supergravity and derive the appropriate D-term scalar potential. For the line bundle backgrounds we show that the gauge flux stabilizes some geometrical moduli and renders some abelian vector multiplets massive.

Effective action of heterotic compactification on K3 with non-trivial gauge bundles

Energy Technology Data Exchange (ETDEWEB)

Schasny, Martin

2012-10-15

In this thesis we study the heterotic string compactified on K3 with non-trivial gauge bundles. We focus on two backgrounds, the well-known standard embedding and abelian line bundles. Using a Kaluza-Klein reduction, the six-dimensional effective action is computed up to terms of order {alpha}'{sup 2} with special attention on the hypermultiplet sector. We compute the moduli dependent couplings of the matter fields and analyze the geometry of the hyperscalar sigma model. Moreover, we prove the consistency with six-dimensional supergravity and derive the appropriate D-term scalar potential. For the line bundle backgrounds we show that the gauge flux stabilizes some geometrical moduli and renders some abelian vector multiplets massive.

Connecting single cell to collective cell behavior in a unified theoretical framework

Science.gov (United States)

George, Mishel; Bullo, Francesco; Campàs, Otger

Collective cell behavior is an essential part of tissue and organ morphogenesis during embryonic development, as well as of various disease processes, such as cancer. In contrast to many in vitro studies of collective cell migration, most cases of in vivo collective cell migration involve rather small groups of cells, with large sheets of migrating cells being less common. The vast majority of theoretical descriptions of collective cell behavior focus on large numbers of cells, but fail to accurately capture the dynamics of small groups of cells. Here we introduce a low-dimensional theoretical description that successfully captures single cell migration, cell collisions, collective dynamics in small groups of cells, and force propagation during sheet expansion, all within a common theoretical framework. Our description is derived from first principles and also includes key phenomenological aspects of cell migration that control the dynamics of traction forces. Among other results, we explain the counter-intuitive observations that pairs of cells repel each other upon collision while they behave in a coordinated manner within larger clusters.

Energy-Neutral Data Collection Rate Control for IoT Animal Behavior Monitors

Directory of Open Access Journals (Sweden)

Jay Wilhelm

2017-11-01

Full Text Available Energy-neutral operation (ENO is a major concern for Internet of things (IoT sensor systems. Animals can be tagged with IoT sensors to monitor their movement and behavior. These sensors wirelessly upload collected data and can receive parameters to change their operation. Typically, the behavior monitors are powered by a battery where the system relies upon harvesting solar radiation for sustainable operation. Solar panels typically are used as the harvesting mechanism and can have a level of uncertainty regarding consistent energy delivery due to factors such as adverse weather, foliage, time of day, and individual animal behavior. The variability of available energy inevitably creates a trade-off in the rate at which data can be collected with respect to incoming and stored energy. The objective of this research was to investigate and simulate methods and parameters that can control the data collection rate of an IoT behavior monitor to achieve sustained operation with unknown and random energy harvesting. Analysis and development of a control system were performed by creating a software model of energy consumption and then simulating using different initial conditions and random energy harvesting rates for evaluation. The contribution of this effort was the exploration into the usage of a discrete-time gain scheduled Proportional–Integral–Derivative (PID that was tuned to a specific device configuration, using battery state of charge as an input, and found to maintain a battery level set-point, reject small solar harvesting energy disturbances, and maintain a consistent data collection rate throughout the day.

Mapping collective behavior in the big-data era.

Science.gov (United States)

Bentley, R Alexander; O'Brien, Michael J; Brock, William A

2014-02-01

The behavioral sciences have flourished by studying how traditional and/or rational behavior has been governed throughout most of human history by relatively well-informed individual and social learning. In the online age, however, social phenomena can occur with unprecedented scale and unpredictability, and individuals have access to social connections never before possible. Similarly, behavioral scientists now have access to "big data" sets - those from Twitter and Facebook, for example - that did not exist a few years ago. Studies of human dynamics based on these data sets are novel and exciting but, if not placed in context, can foster the misconception that mass-scale online behavior is all we need to understand, for example, how humans make decisions. To overcome that misconception, we draw on the field of discrete-choice theory to create a multiscale comparative "map" that, like a principal-components representation, captures the essence of decision making along two axes: (1) an east-west dimension that represents the degree to which an agent makes a decision independently versus one that is socially influenced, and (2) a north-south dimension that represents the degree to which there is transparency in the payoffs and risks associated with the decisions agents make. We divide the map into quadrants, each of which features a signature behavioral pattern. When taken together, the map and its signatures provide an easily understood empirical framework for evaluating how modern collective behavior may be changing in the digital age, including whether behavior is becoming more individualistic, as people seek out exactly what they want, or more social, as people become more inextricably linked, even "herdlike," in their decision making. We believe the map will lead to many new testable hypotheses concerning human behavior as well as to similar applications throughout the social sciences.

Remarks on surfaces with $c_1^2 =2\\chi -1$ having non-trivial 2-torsion

OpenAIRE

MURAKAMI, Masaaki

2013-01-01

We shall show that any complex minimal surface of general type with $c_1^2 = 2\\chi -1$ having non-trivial 2-torsion divisors, where $c_1^2$ and $\\chi$ are the first Chern number of a surface and the Euler characteristic of the structure sheaf respectively, has the Euler characteristic $\\chi$ not exceeding 4. Moreover, we shall give a complete description for the surfaces of the case $\\chi =4$, and prove that the coarse moduli space for surfaces of this case is a unirational variety of dimensi...

Effects of Strategies Marketing of Collective Buying about Impulsive Behavior

Directory of Open Access Journals (Sweden)

Suzi Elen Ferreira Dias

2014-08-01

Full Text Available Brazil has the second largest e-commerce market in the world. One model used in this sector is "collective buying", a feature of which is impulse sales. Consumer behavior can be influenced by several factors, two of which are addressed in this article: the individual impulsivity of consumers and strategies of mix marketing. Impulsive buying is characterized by an unplanned purchase, i.e. the need to acquire the product arises just before the purchase. Consumers respond differently to mixed strategies depending on their degree of impulsivity. Thus, this article aims to analyze the efficacy of different marketing mix strategies for impulsive and non-impulsive consumer purchasing behavior. 137 participants were given a questionnaire containing the Buying Impulsiveness scale from Rook and Fisher (1995, and statements about the marketing strategies used by collective buying sites. Through a regression analysis, three strategies were found to relate more to impulsivity: search for products from well-known brands, search for deals with big discounts and confidence in receiving the product. For e-commerce and researchers, this study elucidates which strategies, from the consumer's perspective, effectively persuade purchasing behavior.

The development of collective personality: the ontogenetic drivers of behavioral variation across groups

Directory of Open Access Journals (Sweden)

Sarah E Bengston

2014-12-01

Full Text Available For the past decade, the study of personality has become a topic on the frontier of behavioral ecology. However, most studies have focused on exploring inter-individual behavioral variation in solitary animals, and few account for the role that social interactions may have on the development of an individual’s personality. Moreover, a social group may exhibit collective personality: an emergent behavioral phenotype displayed at the group-level, which is not necessarily the sum or average of individual personalities within that group. The social environment, in many cases, can determine group success, which then influences the relative success of all the individuals in that group. In addition, group-level personality may itself evolve, subject to the same selection pressures as individual-level behavioral variation, when the group is a unit under selection. Therefore, we reason that understanding how collective personalities emerge and change over time will be imperative to understanding individual- and group-level behavioral evolution.Personality is considered to be fixed over an individual’s lifetime. However, behavior may shift throughout development, particularly during adolescence. Therefore, juvenile behavior should not be compared with adult behavior when assessing personality. Similarly, as conditions within a group and/or the local environment can shift, group behavior may similarly fluctuate as it matures. We discuss potential within-group factors, such as group initiation, group maturation, genetic make-up of the group, and the internal social environment, and external factors, such as well as how local environment may play a role in generating group-level personalities. There are a variety of studies that explore group development or quantify group personality, but few that integrate both processes. Therefore, we conclude by discussing potential ways to evaluate development of collective personality, and propose several focal

Collective iteration behavior for online social networks

Science.gov (United States)

Liu, Jian-Guo; Li, Ren-De; Guo, Qiang; Zhang, Yi-Cheng

2018-06-01

Understanding the patterns of collective behavior in online social network (OSNs) is critical to expanding the knowledge of human behavior and tie relationship. In this paper, we investigate a specific pattern called social signature in Facebook and Wiki users' online communication behaviors, capturing the distribution of frequency of interactions between different alters over time in the ego network. The empirical results show that there are robust social signatures of interactions no matter how friends change over time, which indicates that a stable commutation pattern exists in online communication. By comparing a random null model, we find the that commutation pattern is heterogeneous between ego and alters. Furthermore, in order to regenerate the pattern of the social signature, we present a preferential interaction model, which assumes that new users intend to look for the old users with strong ties while old users have tendency to interact with new friends. The experimental results show that the presented model can reproduce the heterogeneity of social signature by adjusting 2 parameters, the number of communicating targets m and the max number of interactions n, for Facebook users, m = n = 5, for Wiki users, m = 2 and n = 8. This work helps in deeply understanding the regularity of social signature.

Integrating simultaneous prosocial and antisocial behavior into theories of collective action

OpenAIRE

Basurto, Xavier; Blanco, Esther; Nenadovic, Mateja; Vollan, Bj?rn

2016-01-01

Trust and cooperation constitute cornerstones of common-pool resource theory, showing that ?prosocial? strategies among resource users can overcome collective action problems and lead to sustainable resource governance. Yet, antisocial behavior and especially the coexistence of prosocial and antisocial behaviors have received less attention. We broaden the analysis to include the effects of both ?prosocial? and ?antisocial? interactions. We do so in the context of marine protected areas (MPAs...

Topologically non-trivial electronic and magnetic states in doped copper Kagome lattices

Science.gov (United States)

Guterding, Daniel; Jeschke, Harald O.; Valenti, Roser

We present a theoretical investigation of doped copper kagome materials based on natural minerals Herbertsmithite [ZnCu3(OH)6Cl2] and Barlowite[Cu4(OH)6FBr]. Using ab-initio density functional theory calculations we estimate the stability of the hypothetical compounds against structural distortions and analyze their electronic and magnetic properties. We find that materials based on Herbertsmithite present an ideal playground for investigating the interplay of non-trivial band-topology and strong electronic correlation effects. In particular, we propose candidates for the Quantum Spin Hall effect at filling 4/3 and the Quantum Anomalous Hall effect at filling 2/3. For the Barlowite system we point out a route to realize a Quantum Spin Liquid. This work was supported by Deutsche Forschungsgemeinschaft under Grant No. SFB/TR 49 and the National Science Foundation under Grant No. PHY11-25915.

Quantum theories on noncommutative spaces with nontrivial topology: Aharonov-Bohm and Casimir effects

International Nuclear Information System (INIS)

Chaichian, M.; Tureanu, A.; Demichev, A.; Presnajder, P.; Sheikh-Jabbari, M.M.

2001-02-01

After discussing the peculiarities of quantum systems on noncommutative (NC) spaces with nontrivial topology and the operator representation of the *-product on them, we consider the Aharonov-Bohm and Casimir effects for such spaces. For the case of the Aharonov-Bohm effect, we have obtained an explicit expression for the shift of the phase, which is gauge invariant in the NC sense. The Casimir energy of a field theory on a NC cylinder is divergent, while it becomes finite on a torus, when the dimensionless parameter of noncommutativity is a rational number. The latter corresponds to a well-defined physical picture. Certain distinctions from other treatments based on a different way of taking the noncommutativity into account are also discussed. (author)

Nonlinear perturbations of differential operators with nontrivial kernel and applications to third order periodic boundary value problems

International Nuclear Information System (INIS)

Afuwape, A.U.; Omari, P.

1987-11-01

This paper deals with the solvability of the nonlinear operator equations in normed spaces Lx=EGx+f, where L is a linear map with possible nontrivial kernel. Applications are given to the existence of periodic solutions for the third order scalar differential equation x'''+ax''+bx'+cx+g(t,x)=p(t), under various conditions on the interaction of g(t,x)/x with spectral configurations of a, b and c. (author). 48 refs

Consistent Individual Differences Drive Collective Behavior and Group Functioning of Schooling Fish.

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Jolles, Jolle W; Boogert, Neeltje J; Sridhar, Vivek H; Couzin, Iain D; Manica, Andrea

2017-09-25

The ubiquity of consistent inter-individual differences in behavior ("animal personalities") [1, 2] suggests that they might play a fundamental role in driving the movements and functioning of animal groups [3, 4], including their collective decision-making, foraging performance, and predator avoidance. Despite increasing evidence that highlights their importance [5-16], we still lack a unified mechanistic framework to explain and to predict how consistent inter-individual differences may drive collective behavior. Here we investigate how the structure, leadership, movement dynamics, and foraging performance of groups can emerge from inter-individual differences by high-resolution tracking of known behavioral types in free-swimming stickleback (Gasterosteus aculeatus) shoals. We show that individual's propensity to stay near others, measured by a classic "sociability" assay, was negatively linked to swim speed across a range of contexts, and predicted spatial positioning and leadership within groups as well as differences in structure and movement dynamics between groups. In turn, this trait, together with individual's exploratory tendency, measured by a classic "boldness" assay, explained individual and group foraging performance. These effects of consistent individual differences on group-level states emerged naturally from a generic model of self-organizing groups composed of individuals differing in speed and goal-orientedness. Our study provides experimental and theoretical evidence for a simple mechanism to explain the emergence of collective behavior from consistent individual differences, including variation in the structure, leadership, movement dynamics, and functional capabilities of groups, across social and ecological scales. In addition, we demonstrate individual performance is conditional on group composition, indicating how social selection may drive behavioral differentiation between individuals. Copyright © 2017 The Author(s). Published by

Water collection behavior and hanging ability of bioinspired fiber.

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Hou, Yongping; Chen, Yuan; Xue, Yan; Zheng, Yongmei; Jiang, Lei

2012-03-13

Since the water-collecting ability of the wetted cribellate spider capture silk is the result of a unique fiber structure, bioinspired fibers have been researched significantly so as to expose a new water-acquiring route in fogging-collection projects. However, the design of the geometry of bioinspired fiber is related to the ability of hanging drops, which has not been investigated in depth so far. Here, we fabricate bioinspired fibers to investigate the water collection behavior and the influence of geometry (i.e., periodicity of spindle knot) on the hanging-drop ability. We especially discuss water collection related to the periodicity of geometry on the bioinspired fiber. We reveal the length of the three phase contact line (TCL) at threshold conditions in conjunction with the maximal volume of a hanging drop at different modes. The study demonstrates that the geometrical structure of bioinspired fiber induces much stronger water hanging ability than that of uniform fiber, attributed to such special geometry that offers effectively an increasing TCL length or limits the contact length to be shorted. In addition, the geometry also improves the fog-collection efficiency by controlling tiny water drops to be collected in the large water drops at a given location.

Fractals as objects with nontrivial structures at all scales

International Nuclear Information System (INIS)

Lacan, Francis; Tresser, Charles

2015-01-01

Toward the middle of 2001, the authors started arguing that fractals are important when discussing the operational resilience of information systems and related computer sciences issues such as artificial intelligence. But in order to argue along these lines it turned out to be indispensable to define fractals so as to let one recognize as fractals some sets that are very far from being self similar in the (usual) metric sense. This paper is devoted to define (in a loose sense at least) fractals in ways that allow for instance all the Cantor sets to be fractals and that permit to recognize fractality (the property of being fractal) in the context of the information technology issues that we had tried to comprehend. Starting from the meta-definition of a fractal as an “object with non-trivial structure at all scales” that we had used for long, we ended up taking these words seriously. Accordingly we define fractals in manners that depend both on the structures that the fractals are endowed with and the chosen sets of structure compatible maps, i.e., we approach fractals in a category-dependent manner. We expect that this new approach to fractals will contribute to the understanding of more of the fractals that appear in exact and other sciences than what can be handled presently

Information Seeking Behavior in Digital Image Collections: A Cognitive Approach

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Matusiak, Krystyna K.

2006-01-01

Presents the results of a qualitative study that focuses on search patterns of college students and community users interacting with a digital image collection. The study finds a distinct difference between the two groups of users and examines the role of mental models in information seeking behavior in digital libraries.

Conceptualization of Collective Behavior Events in the New York "Times."

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Blake, Joseph A.; And Others

1978-01-01

Reports that most collective behavior events reported in the New York "Times" are described in terms of emotionality and anonymity of membership and are alleged to be violent and spontaneous, and that there are significant rank-order correlations between the reported presence of control agents, reported violence, and attributions of spontaneity.…

Evolutionary Dynamics of Collective Behavior Selection and Drift: Flocking, Collapse, and Oscillation.

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Tan, Shaolin; Wang, Yaonan; Chen, Yao; Wang, Zhen

2016-06-14

Behavioral choice is ubiquitous across a wide range of interactive decision-making processes and a myriad of scientific disciplines. With regard to this issue, one entitative problem is actually to understand how collective social behaviors form and evolve among populations when they face a variety of conflict alternatives. In this paper, a selection-drift dynamic model is formulated to characterize the behavior imitation and exploration processes in social populations. Based on the proposed framework, several typical behavior evolution patterns, including behavioral flocking, collapse, and oscillation, are reproduced with different kinds of behavior networks. Interestingly, for the selection-drift dynamics on homogeneous symmetric behavior networks, we unveil the phase transition from behavioral flocking to collapse and derive the bifurcation diagram of the evolutionary stable behaviors in social behavior evolution. While via analyzing the survival conditions of the best behavior on heterogeneous symmetric behavior networks, we propose a selection-drift mechanism to guarantee consensus at the optimal behavior. Moreover, when the selection-drift dynamics on asymmetric behavior networks is simulated, it is shown that breaking the symmetry in behavior networks can induce various behavioral oscillations. These obtained results may shed new insights into understanding, detecting, and further controlling how social norm and cultural trends evolve.

Quantum oscillation and nontrivial transport in the Dirac semimetal Cd_3As_2 nanodevice

International Nuclear Information System (INIS)

Pan, Haiyang; Wei, Zhongxia; Zhao, Bo; Song, Fengqi; Wang, Baigeng; Zhang, Kang; Gao, Ming; Wang, Xuefeng; Zhang, Rong; Wang, Jue; Han, Min; Pi, Li

2016-01-01

Here, we report on the Shubnikov-de Haas oscillation in high-quality Cd_3As_2 nanowires grown by a chemical vapor deposition approach. The dominant transport of topological Dirac fermions is evident by the nontrivial Berry phase in the Landau Fan diagram. The quantum oscillations rise at a small field of 2 T and preserves up to 100 K, revealing a sizeable Landau level gap and a device mobility of 2138 cm"2" V"−"1" s"−"1. The angle-variable oscillations indicate the isotropy of the bulk Dirac transport. The large estimated mean free path makes the Cd_3As_2 nanowire a promising platform for the one-dimensional transport of Dirac semimetals.

The Path Resistance Method for Bounding the Smallest Nontrivial Eigenvalue of a Laplacian

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Guattery, Stephen; Leighton, Tom; Miller, Gary L.

1997-01-01

We introduce the path resistance method for lower bounds on the smallest nontrivial eigenvalue of the Laplacian matrix of a graph. The method is based on viewing the graph in terms of electrical circuits; it uses clique embeddings to produce lower bounds on lambda(sub 2) and star embeddings to produce lower bounds on the smallest Rayleigh quotient when there is a zero Dirichlet boundary condition. The method assigns priorities to the paths in the embedding; we show that, for an unweighted tree T, using uniform priorities for a clique embedding produces a lower bound on lambda(sub 2) that is off by at most an 0(log diameter(T)) factor. We show that the best bounds this method can produce for clique embeddings are the same as for a related method that uses clique embeddings and edge lengths to produce bounds.

Collective behavior in the spatial spreading of obesity

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Gallos, Lazaros K.; Barttfeld, Pablo; Havlin, Shlomo; Sigman, Mariano; Makse, Hernán A.

2012-06-01

Obesity prevalence is increasing in many countries at alarming levels. A difficulty in the conception of policies to reverse these trends is the identification of the drivers behind the obesity epidemics. Here, we implement a spatial spreading analysis to investigate whether obesity shows spatial correlations, revealing the effect of collective and global factors acting above individual choices. We find a regularity in the spatial fluctuations of their prevalence revealed by a pattern of scale-free long-range correlations. The fluctuations are anomalous, deviating in a fundamental way from the weaker correlations found in the underlying population distribution indicating the presence of collective behavior, i.e., individual habits may have negligible influence in shaping the patterns of spreading. Interestingly, we find the same scale-free correlations in economic activities associated with food production. These results motivate future interventions to investigate the causality of this relation providing guidance for the implementation of preventive health policies.

Collective behaviors of suprachiasm nucleus neurons under different light—dark cycles

International Nuclear Information System (INIS)

Gu Chang-Gui; Liu Zong-Hua; Zhang Xin-Hua

2014-01-01

The principal circadian clock in the suprachiasm nucleus (SCN) regulates the circadian rhythm of physiological and behavioral activities of mammals. Except for the normal function of the circadian rhythm, the ensemble of SCN neurons may show two collective behaviors, i.e., a free running period in the absence of a light—dark cycle and an entrainment ability to an external T cycle. Experiments show that both the free running periods and the entrainment ranges may vary from one species to another and can be seriously influenced by the coupling among the SCN neurons. We here review the recent progress on how the heterogeneous couplings influence these two collective behaviors. We will show that in the case of homogeneous coupling, the free running period increases monotonically while the entrainment range decreases monotonically with the increase of the coupling strength. While in the case of heterogenous coupling, the dispersion of the coupling strength plays a crucial role. It has been found that the free running period decreases with the increase of the dispersion while the entrainment ability is enhanced by the dispersion. These findings provide new insights into the mechanism of the circadian clock in the SCN. (topical review - statistical physics and complex systems)

The salience of social referents: a field experiment on collective norms and harassment behavior in a school social network.

Science.gov (United States)

Paluck, Elizabeth Levy; Shepherd, Hana

2012-12-01

Persistent, widespread harassment in schools can be understood as a product of collective school norms that deem harassment, and behavior allowing harassment to escalate, as typical and even desirable. Thus, one approach to reducing harassment is to change students' perceptions of these collective norms. Theory suggests that the public behavior of highly connected and chronically salient actors in a group, called social referents, may provide influential cues for individuals' perception of collective norms. Using repeated, complete social network surveys of a public high school, we demonstrate that changing the public behavior of a randomly assigned subset of student social referents changes their peers' perceptions of school collective norms and their harassment behavior. Social referents exert their influence over peers' perceptions of collective norms through the mechanism of everyday social interaction, particularly interaction that is frequent and personally motivated, in contrast to interaction shaped by institutional channels like shared classes. These findings clarify the development of collective social norms: They depend on certain patterns of and motivations for social interactions within groups across time, and are not static but constantly reshaped and reproduced through these interactions. Understanding this process creates opportunities for changing collective norms and behavior. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

The new electromagnetic tetrads, infinite tetrad nesting and the non-trivial emergence of complex numbers in real theories of gravitation

Science.gov (United States)

Garat, Alcides

How complex numbers get into play in a non-trivial way in real theories of gravitation is relevant since in a unified structure they should be able to relate in a natural way with quantum theories. For a long time this issue has been lingering on both relativistic formulations and quantum theories. We will analyze this fundamental subject under the light of new group isomorphism theorems linking local internal groups of transformations and local groups of spacetime transformations. The bridge between these two kinds of transformations is represented by new tetrads introduced previously. It is precisely through these local tetrad structures that we will provide a non-trivial answer to this old issue. These new tetrads have two fundamental building components, the skeletons and the gauge vectors. It is these constructive elements that provide the mathematical support that allows to prove group isomorphism theorems. In addition to this, we will prove a unique new property, the infinite tetrad nesting, alternating the nesting with non-Abelian tetrads in the construction of the tetrad gauge vectors. As an application we will demonstrate an alternative proof of a new group isomorphism theorem.

Yang-Lee zeros for a Potts model of helix-coil transition with nontrivial topology

International Nuclear Information System (INIS)

Ananikian, N.; Ananikyan, L.; Artuso, R.; Sargsyan, K.

2007-07-01

The Yang-Lee partition function zeros of the Q-state Potts model on a zigzag ladder are studied by a transfer-matrix approach. This Q-state model has a non-trivial topology induced by three-site interactions on a zigzag ladder and is proposed as a description of helix-coil transition in homo-polymers. The Yang-Lee zeros are associated to complex values of the solvent-related coupling constant K (magnetic field) and they are exactly derived for arbitrary values of the system parameters: Q, J (coupling constant of hydrogen binding) and temperature. It is shown that there is only a quasi-phase transition for all temperatures. The densities of the Yang-Lee zeros are singular at the edge singularity points and the critical exponent σ = -1/2. (author)

From one to many: dynamic assembly and collective behavior of self-propelled colloidal motors.

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Wang, Wei; Duan, Wentao; Ahmed, Suzanne; Sen, Ayusman; Mallouk, Thomas E

2015-07-21

The assembly of complex structures from simpler, individual units is a hallmark of biology. Examples include the pairing of DNA strands, the assembly of protein chains into quaternary structures, the formation of tissues and organs from cells, and the self-organization of bacterial colonies, flocks of birds, and human beings in cities. While the individual behaviors of biomolecules, bacteria, birds, and humans are governed by relatively simple rules, groups assembled from many individuals exhibit complex collective behaviors and functions that do not exist in the absence of the hierarchically organized structure. Self-assembly is a familiar concept to chemists who study the formation and properties of monolayers, crystals, and supramolecular structures. In chemical self-assembly, disorder evolves to order as the system approaches equilibrium. In contrast, living assemblies are typically characterized by two additional features: (1) the system constantly dissipates energy and is not at thermodynamic equilibrium; (2) the structure is dynamic and can transform or disassemble in response to stimuli or changing conditions. To distinguish them from equilibrium self-assembled structures, living (or nonliving) assemblies of objects with these characteristics are referred to as active matter. In this Account, we focus on the powered assembly and collective behavior of self-propelled colloids. These nano- and microparticles, also called nano- and micromotors or microswimmers, autonomously convert energy available in the environment (in the form of chemical, electromagnetic, acoustic, or thermal energy) into mechanical motion. Collections of these colloids are a form of synthetic active matter. Because of the analogy to living swimmers of similar size such as bacteria, the dynamic interactions and collective behavior of self-propelled colloids are interesting in the context of understanding biological active matter and in the development of new applications. The progression

Integrating simultaneous prosocial and antisocial behavior into theories of collective action.

Science.gov (United States)

Basurto, Xavier; Blanco, Esther; Nenadovic, Mateja; Vollan, Björn

2016-03-01

Trust and cooperation constitute cornerstones of common-pool resource theory, showing that "prosocial" strategies among resource users can overcome collective action problems and lead to sustainable resource governance. Yet, antisocial behavior and especially the coexistence of prosocial and antisocial behaviors have received less attention. We broaden the analysis to include the effects of both "prosocial" and "antisocial" interactions. We do so in the context of marine protected areas (MPAs), the most prominent form of biodiversity conservation intervention worldwide. Our multimethod approach relied on lab-in-the-field economic experiments (n = 127) in two MPA and two non-MPA communities in Baja California, Mexico. In addition, we deployed a standardized fishers' survey (n = 544) to verify the external validity of our findings and expert informant interviews (n = 77) to develop potential explanatory mechanisms. In MPA sites, prosocial and antisocial behavior is significantly higher, and the presence of antisocial behavior does not seem to have a negative effect on prosocial behavior. We suggest that market integration, economic diversification, and strengthened group identity in MPAs are the main potential mechanisms for the simultaneity of prosocial and antisocial behavior we observed. This study constitutes a first step in better understanding the interaction between prosociality and antisociality as related to natural resources governance and conservation science, integrating literatures from social psychology, evolutionary anthropology, behavioral economics, and ecology.

Layer-by-layer assembly of patchy particles as a route to nontrivial structures

Science.gov (United States)

Patra, Niladri; Tkachenko, Alexei V.

2017-08-01

We propose a strategy for robust high-quality self-assembly of nontrivial periodic structures out of patchy particles and investigate it with Brownian dynamics simulations. Its first element is the use of specific patch-patch and shell-shell interactions between the particles, which can be implemented through differential functionalization of patched and shell regions with specific DNA strands. The other key element of our approach is the use of a layer-by-layer protocol that allows one to avoid the formation of undesired random aggregates. As an example, we design and self-assemble in silico a version of a double diamond lattice in which four particle types are arranged into bcc crystal made of four fcc sublattices. The lattice can be further converted to cubic diamond by selective removal of the particles of certain types. Our results demonstrate that by combining the directionality, selectivity of interactions, and the layer-by-layer protocol, a high-quality robust self-assembly can be achieved.

Collection Directions: The Evolution of Library Collections and Collecting

Science.gov (United States)

Dempsey, Lorcan; Malpas, Constance; Lavoie, Brian

2014-01-01

This article takes a broad view of the evolution of collecting behaviors in a network environment and suggests some future directions based on various simple models. The authors look at the changing dynamics of print collections, at the greater engagement with research and learning behaviors, and at trends in scholarly communication. The goal is…

Infrared behavior of the Reggeon field theory for the pomeron

International Nuclear Information System (INIS)

Bardeen, W.A.; Dash, J.W.; Pinsky, S.S.; Rabl, V.

1975-01-01

The infrared structure of Reggeon field theory is investigated using renormalization group methods. The infrared fixed point where only the phi 3 interaction is nontrivial is shown to be stable with respect to all higher order interactions within the context of perturbation theory both at D = 2 and in the epsilon-expansion. This may imply that the asymptotic behavior of the total cross section is model independent

Dynamical behavior and Jacobi stability analysis of wound strings

Science.gov (United States)

Lake, Matthew J.; Harko, Tiberiu

2016-06-01

We numerically solve the equations of motion (EOM) for two models of circular cosmic string loops with windings in a simply connected internal space. Since the windings cannot be topologically stabilized, stability must be achieved (if at all) dynamically. As toy models for realistic compactifications, we consider windings on a small section of mathbb {R}^2, which is valid as an approximation to any simply connected internal manifold if the winding radius is sufficiently small, and windings on an S^2 of constant radius mathcal {R}. We then use Kosambi-Cartan-Chern (KCC) theory to analyze the Jacobi stability of the string equations and determine bounds on the physical parameters that ensure dynamical stability of the windings. We find that, for the same initial conditions, the curvature and topology of the internal space have nontrivial effects on the microscopic behavior of the string in the higher dimensions, but that the macroscopic behavior is remarkably insensitive to the details of the motion in the compact space. This suggests that higher-dimensional signatures may be extremely difficult to detect in the effective (3+1)-dimensional dynamics of strings compactified on an internal space, even if configurations with nontrivial windings persist over long time periods.

Dynamical behavior and Jacobi stability analysis of wound strings

Energy Technology Data Exchange (ETDEWEB)

Lake, Matthew J. [Naresuan University, The Institute for Fundamental Study, ' ' The Tah Poe Academia Institute' ' , Phitsanulok (Thailand); Thailand Center of Excellence in Physics, Ministry of Education, Bangkok (Thailand); Harko, Tiberiu [Babes-Bolyai University, Department of Physics, Cluj-Napoca (Romania); University College London, Department of Mathematics, London (United Kingdom)

2016-06-15

We numerically solve the equations of motion (EOM) for two models of circular cosmic string loops with windings in a simply connected internal space. Since the windings cannot be topologically stabilized, stability must be achieved (if at all) dynamically. As toy models for realistic compactifications, we consider windings on a small section of R{sup 2}, which is valid as an approximation to any simply connected internal manifold if the winding radius is sufficiently small, and windings on an S{sup 2} of constant radius R. We then use Kosambi-Cartan-Chern (KCC) theory to analyze the Jacobi stability of the string equations and determine bounds on the physical parameters that ensure dynamical stability of the windings. We find that, for the same initial conditions, the curvature and topology of the internal space have nontrivial effects on the microscopic behavior of the string in the higher dimensions, but that the macroscopic behavior is remarkably insensitive to the details of the motion in the compact space. This suggests that higher-dimensional signatures may be extremely difficult to detect in the effective (3+1)-dimensional dynamics of strings compactified on an internal space, even if configurations with nontrivial windings persist over long time periods. (orig.)

Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges.

Science.gov (United States)

Harari, Gabriella M; Lane, Nicholas D; Wang, Rui; Crosier, Benjamin S; Campbell, Andrew T; Gosling, Samuel D

2016-11-01

Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it unfolds in the course of daily life. Data can be collected from the onboard sensors and other phone logs embedded in today's off-the-shelf smartphone devices. These data permit fine-grained, continuous collection of people's social interactions (e.g., speaking rates in conversation, size of social groups, calls, and text messages), daily activities (e.g., physical activity and sleep), and mobility patterns (e.g., frequency and duration of time spent at various locations). In this article, we have drawn on the lessons from the first wave of smartphone-sensing research to highlight areas of opportunity for psychological research, present practical considerations for designing smartphone studies, and discuss the ongoing methodological and ethical challenges associated with research in this domain. It is our hope that these practical guidelines will facilitate the use of smartphones as a behavioral observation tool in psychological science. © The Author(s) 2016.

Role Breadth Self-Efficacy and Foci of Proactive Behavior: Moderating Role of Collective, Relational, and Individual Self-Concept.

Science.gov (United States)

Hwang, Pin-Chyuan; Han, Ming-Chuan; Chiu, Su-Fen

2015-01-01

This study aims to identify the interactive effect of role breadth self-efficacy (RBSE) and the three levels of self-concept (collective, relational, and individual) in predicting of different foci of proactive behaviors. Results from 259 matched responses from an airline company in Taiwan showed that RBSE had a positive effect on (1) pro-organizational proactive behavior among those with higher collective self-concept, (2) pro-supervisor proactive behavior among those with higher relational self-concept, and (3) pro-self proactive behavior among those with higher individual self-concept. Our findings provide insights into the moderating role of different levels of self-concept on RBSE-proactive behavior process in terms of specific targets or beneficiaries. Further implications for organizational research and practice are discussed.

Sound-like collective mode excitation with pion absorption in nuclear matter

International Nuclear Information System (INIS)

Qiu Xijiun; Shen Jianguo; Huang Lingfang

1985-01-01

The relativistic mean field theory consistent with bulk properties of nuclear matter is extended to study the excitations of the sound-like collective modes in nuclear matter. Corresponding relativistic mean field equations are solved numerically and self-consistently. The effective mass of nucleon, the speed of the sound and the amplitude of the sound-like solution are calculated. When the nuclear density is near or greater than the saturation density, the sound-like non-trivial solution could be found

Responsive survey design, demographic data collection, and models of demographic behavior.

Science.gov (United States)

Axinn, William G; Link, Cynthia F; Groves, Robert M

2011-08-01

To address declining response rates and rising data-collection costs, survey methodologists have devised new techniques for using process data ("paradata") to address nonresponse by altering the survey design dynamically during data collection. We investigate the substantive consequences of responsive survey design-tools that use paradata to improve the representative qualities of surveys and control costs. By improving representation of reluctant respondents, responsive design can change our understanding of the topic being studied. Using the National Survey of Family Growth Cycle 6, we illustrate how responsive survey design can shape both demographic estimates and models of demographic behaviors based on survey data. By juxtaposing measures from regular and responsive data collection phases, we document how special efforts to interview reluctant respondents may affect demographic estimates. Results demonstrate the potential of responsive survey design to change the quality of demographic research based on survey data.

The Effects of Data Collection Method and Monitoring of Workers’ Behavior on the Generation of Demolition Waste

Directory of Open Access Journals (Sweden)

Gi-Wook Cha

2017-10-01

Full Text Available The roles of both the data collection method (including proper classification and the behavior of workers on the generation of demolition waste (DW are important. By analyzing the effect of the data collection method used to estimate DW, and by investigating how workers’ behavior can affect the total amount of DW generated during an actual demolition process, it was possible to identify strategies that could improve the prediction of DW. Therefore, this study surveyed demolition waste generation rates (DWGRs for different types of building by conducting on-site surveys immediately before demolition in order to collect adequate and reliable data. In addition, the effects of DW management strategies and of monitoring the behavior of workers on the actual generation of DW were analyzed. The results showed that when monitoring was implemented, the estimates of DW obtained from the DWGRs that were surveyed immediately before demolition and the actual quantities of DW reported by the demolition contractors had an error rate of 0.63% when the results were compared. Therefore, this study has shown that the proper data collection method (i.e., data were collected immediately before demolition applied in this paper and monitoring on the demolition site have a significant impact on waste generation.

Physics of microswimmers—single particle motion and collective behavior: a review

International Nuclear Information System (INIS)

Elgeti, J; Winkler, R G; Gompper, G

2015-01-01

Locomotion and transport of microorganisms in fluids is an essential aspect of life. Search for food, orientation toward light, spreading of off-spring, and the formation of colonies are only possible due to locomotion. Swimming at the microscale occurs at low Reynolds numbers, where fluid friction and viscosity dominates over inertia. Here, evolution achieved propulsion mechanisms, which overcome and even exploit drag. Prominent propulsion mechanisms are rotating helical flagella, exploited by many bacteria, and snake-like or whip-like motion of eukaryotic flagella, utilized by sperm and algae. For artificial microswimmers, alternative concepts to convert chemical energy or heat into directed motion can be employed, which are potentially more efficient. The dynamics of microswimmers comprises many facets, which are all required to achieve locomotion. In this article, we review the physics of locomotion of biological and synthetic microswimmers, and the collective behavior of their assemblies. Starting from individual microswimmers, we describe the various propulsion mechanism of biological and synthetic systems and address the hydrodynamic aspects of swimming. This comprises synchronization and the concerted beating of flagella and cilia. In addition, the swimming behavior next to surfaces is examined. Finally, collective and cooperate phenomena of various types of isotropic and anisotropic swimmers with and without hydrodynamic interactions are discussed. (report on progress)

Artificial intelligence exploration of unstable protocells leads to predictable properties and discovery of collective behavior.

Science.gov (United States)

Points, Laurie J; Taylor, James Ward; Grizou, Jonathan; Donkers, Kevin; Cronin, Leroy

2018-01-30

Protocell models are used to investigate how cells might have first assembled on Earth. Some, like oil-in-water droplets, can be seemingly simple models, while able to exhibit complex and unpredictable behaviors. How such simple oil-in-water systems can come together to yield complex and life-like behaviors remains a key question. Herein, we illustrate how the combination of automated experimentation and image processing, physicochemical analysis, and machine learning allows significant advances to be made in understanding the driving forces behind oil-in-water droplet behaviors. Utilizing >7,000 experiments collected using an autonomous robotic platform, we illustrate how smart automation cannot only help with exploration, optimization, and discovery of new behaviors, but can also be core to developing fundamental understanding of such systems. Using this process, we were able to relate droplet formulation to behavior via predicted physical properties, and to identify and predict more occurrences of a rare collective droplet behavior, droplet swarming. Proton NMR spectroscopic and qualitative pH methods enabled us to better understand oil dissolution, chemical change, phase transitions, and droplet and aqueous phase flows, illustrating the utility of the combination of smart-automation and traditional analytical chemistry techniques. We further extended our study for the simultaneous exploration of both the oil and aqueous phases using a robotic platform. Overall, this work shows that the combination of chemistry, robotics, and artificial intelligence enables discovery, prediction, and mechanistic understanding in ways that no one approach could achieve alone.

A Review of Empirical Studies Investigating Antecedents and Consequences of Collective Learning Behaviors in Hospitals

Directory of Open Access Journals (Sweden)

Florina D. Spânu

2013-01-01

Full Text Available This study is a systematic review of the field research conducted in medical settings investigating collective learning behaviors. The review was driven by several research foci. Our main interest was in identifying antecedents and consequences of collective learning in hospitals. We also report results on the types of research questions addressed, research designs used, and types of medical teams investigated. Twelve studies met our inclusion criteria. Our findings revealed that highly contextualized studies that use different ways of measuring learning, different ways of conceptualizing medical teams, and different research methodologies, discuss similar antecedents. Variables like leadership behaviors, unit interpersonal climate, and hierarchical position were found to play a role in explaining organizational learning in hospitals across studies. We also found that despite an intense public discourse on the link between collective learning processes and patients’ safety and medical organizations’ performance, few studies actually report empirical data supporting this relationship.

Ontogeny of collective behavior reveals a simple attraction rule.

Science.gov (United States)

Hinz, Robert C; de Polavieja, Gonzalo G

2017-02-28

The striking patterns of collective animal behavior, including ant trails, bird flocks, and fish schools, can result from local interactions among animals without centralized control. Several of these rules of interaction have been proposed, but it has proven difficult to discriminate which ones are implemented in nature. As a method to better discriminate among interaction rules, we propose to follow the slow birth of a rule of interaction during animal development. Specifically, we followed the development of zebrafish, Danio rerio , and found that larvae turn toward each other from 7 days postfertilization and increase the intensity of interactions until 3 weeks. This developmental dataset allows testing the parameter-free predictions of a simple rule in which animals attract each other part of the time, with attraction defined as turning toward another animal chosen at random. This rule makes each individual likely move to a high density of conspecifics, and moving groups naturally emerge. Development of attraction strength corresponds to an increase in the time spent in attraction behavior. Adults were found to follow the same attraction rule, suggesting a potential significance for adults of other species.

Wireless Visual Sensor Network Robots- Based for the Emulation of Collective Behavior

Directory of Open Access Journals (Sweden)

Fredy Hernán Martinez Sarmiento

2012-03-01

Full Text Available We consider the problem of bacterial quorum sensing emulate on small mobile robots. Robots that reflect the behavior of bacteria are designed as mobile wireless camera nodes. They are able to structure a dynamic wireless sensor network. Emulated behavior corresponds to a simplification of bacterial quorum sensing, where the action of a network node is conditioned by the population density of robots(nodes in a given area. The population density reading is done visually using a camera. The robot makes an estimate of the population density of the images, and acts according to this information. The operation of the camera is done with a custom firmware, reducing the complexity of the node without loss of performance. It was noted the route planning and the collective behavior of robots without the use of any other external or local communication. Neither was it necessary to develop a model system, precise state estimation or state feedback.

Change the Collective Behaviors of Colloidal Motors by Tuning Electrohydrodynamic Flow at the Subparticle Level.

Science.gov (United States)

Yang, Xingfu; Wu, Ning

2018-01-23

As demonstrated in biological systems, breaking the symmetry of surrounding hydrodynamic flow is the key to achieve autonomous locomotion of microscopic objects. In recent years, a variety of synthetic motors have been developed based on different propulsion mechanisms. Most work, however, focuses on the propulsion of individual motors. Here, we study the collective behaviors of colloidal dimers actuated by a perpendicularly applied AC electric field, which controls the electrohydrodynamic flow at subparticle levels. Although these motors experience strong dipolar repulsion from each other and are highly active, surprisingly, they assemble into a family of stable planar clusters with handedness. We show that this type of unusual structure arises from the contractile hydrodynamic flow around small lobes but extensile flow around the large lobes. We further reveal that the collective behavior, assembled structure, and assembly dynamics of these motors all depend on the specific directions of electrohydrodynamic flow surrounding each lobe of the dimers. By fine-tuning the surface charge asymmetry on particles and salt concentration in solution, we demonstrate the ability to control their collective behaviors on demand. This novel type of active assembly via hydrodynamic interactions has the potential to grow monodisperse clusters in a self-limiting fashion. The underlying concept revealed in this work should also apply to other types of active and asymmetric particles.

Updating biological bases of social behavior.

Science.gov (United States)

O'Connor, Thomas G

2014-09-01

This month's collation of papers deals with social behaviors that operationalize key constructs in fields covered by the journal, including attachment theory and parenting; emotional regulation; psychopathology of several forms; general and specific cognitive abilities. Notably, many examples are offered of how these social behaviors link with biology. That is an obvious and important direction for clinical research insofar as it helps to erase a perceptual chasm and artificial duality between 'behavior' and 'biology'. But, although it must be the case that social behavior has biological connections of one sort or other, identifying reliable connections with practical application has proved to be a non-trivial challenge. In particular, the challenge seems to be in measuring social behavior meaningfully enough that it could be expected to have a biological pulse, and in measuring biological markers systematically enough that emergent-downstream effects would surface. Associations are not especially uncommon, but it has been a frustrating task in constructing a practically broad model from a bricolage of scattered and disconnected parts and findings in the literature. Several reports in this issue offer contrasts that may help move along this line of study. © 2014 Association for Child and Adolescent Mental Health.

Cesium and strontium behaviors in wastewater collected by different sewer systems

Energy Technology Data Exchange (ETDEWEB)

Ishikawa, Nao K.; Hatanaka, Takuma; Umita, Teruyuki [Department of Civil and Environmental Engineering, Iwate University, 020-8551, Ueda 4-3-5, Morioka, Iwate (Japan); Ito, Ayumi [Department of Frontier Materials and Function Engineering, Graduate School of Engineering Iwate University, 020-8551, Ueda 4-3-5, Morioka, Iwate (Japan)

2014-07-01

The nuclear accident at the Fukushima Daiichi Nuclear Power Plant resulted in the release of radionuclides such as {sup 134}Cs, {sup 137}Cs, and {sup 90}Sr into the environment. Some of these radionuclides have been entering sewage treatment plants through sewer systems and then being transferred to sewage sludge. There are two types of sewer systems, e.g. a combined sewer system (CSS) and a separated sewer system (SSS). The CSS transfers rainwater runoff and domestic wastewater to the treatment plants in a single pipe. The SSS has independent pipes; one pipe transfers domestic wastewater to the treatment plant and the other pipe transfers rainwater runoff to river or sea. Since most of the radionuclides released into the atmosphere by the nuclear accident fell onto the land surface by precipitation, the CSS should collect more radionuclides than the SSS. However, there is little information about behavior differences of radionuclides in wastewater between the two types of sewer systems. The objective of the present study was to clarify the differences of radionuclide behavior in wastewater between the CSS and SSS. Behaviors of stable Cs and Sr in wastewater were observed as a means to predict radiocesium and radiostrontium. Two types of wastewater were collected in Morioka city, Japan: wastewater in a CSS in a rain event (WC) and wastewater in a SSS (WS). The WC was taken at a high rate filtration plant every 20 minutes from the beginning of the rain event for several hours in 2013. The WS was collected at a sewage treatment plant once a month from June to October 2013; sometimes the collection was at the time of a rain event. Suspended solid (SS) in each sample was measured as a physicochemical property. The element concentrations in total, dissolved, and particulate fractions were determined. While the SS in the WS taken on rainy day was 0.11 g/L, the SS in the WC was 0.36 g/L in the beginning of the rainfall and then decreased with time. Total Cs concentration

Collective Behavior of Chiral Active Matter: Pattern Formation and Enhanced Flocking

Science.gov (United States)

Liebchen, Benno; Levis, Demian

2017-08-01

We generalize the Vicsek model to describe the collective behavior of polar circle swimmers with local alignment interactions. While the phase transition leading to collective motion in 2D (flocking) occurs at the same interaction to noise ratio as for linear swimmers, as we show, circular motion enhances the polarization in the ordered phase (enhanced flocking) and induces secondary instabilities leading to structure formation. Slow rotations promote macroscopic droplets with late time sizes proportional to the system size (indicating phase separation) whereas fast rotations generate patterns consisting of phase synchronized microflocks with a controllable characteristic size proportional to the average single-particle swimming radius. Our results defy the viewpoint that monofrequent rotations form a vapid extension of the Vicsek model and establish a generic route to pattern formation in chiral active matter with possible applications for understanding and designing rotating microflocks.

Inelastic behavior of materials and structures under monotonic and cyclic loading

CERN Document Server

Brünig, Michael

2015-01-01

This book presents studies on the inelastic behavior of materials and structures under monotonic and cyclic loads. It focuses on the description of new effects like purely thermal cycles or cases of non-trivial damages. The various models are based on different approaches and methods and scaling aspects are taken into account. In addition to purely phenomenological models, the book also presents mechanisms-based approaches. It includes contributions written by leading authors from a host of different countries.

Dynamic behavior of IREB in a collective ion acceleration experiment

International Nuclear Information System (INIS)

Fine, T.A.; Rhee, M.J.

1989-01-01

The authors report an experimental study of dynamic behavior of net current in conjunction with collective ion acceleration. In the presence of neutral gas, either puffed in or released from the anode foil, the IREB injected is subject to the charge and current neutralizations, resulting in a complicated time and space dependent beam distribution in the drift tube. To investigate the dynamic behavior of the current in the drift tube, typically a 0.5 MeV, 70 kA, 100 ns electron beam of 2.54 cm diam is injected through a foil anode into a drift tube of 15 cm diam. Reproducibility of experiment was improved by using a specially designed anode system with a foil changer which allowed the production of many shots of high current electron beam without disturbing the vacuum condition. The net currents were measured by a Rogowski coil built in the anode system, and a movable Faraday cup along the drift tube. The ions accelerated were diagnosed mainly by a Thomson spectrometer system placed at the end of the drift tube

Emergence of good conduct, scaling and zipf laws in human behavioral sequences in an online world.

Directory of Open Access Journals (Sweden)

Stefan Thurner

Full Text Available We study behavioral action sequences of players in a massive multiplayer online game. In their virtual life players use eight basic actions which allow them to interact with each other. These actions are communication, trade, establishing or breaking friendships and enmities, attack, and punishment. We measure the probabilities for these actions conditional on previous taken and received actions and find a dramatic increase of negative behavior immediately after receiving negative actions. Similarly, positive behavior is intensified by receiving positive actions. We observe a tendency towards antipersistence in communication sequences. Classifying actions as positive (good and negative (bad allows us to define binary 'world lines' of lives of individuals. Positive and negative actions are persistent and occur in clusters, indicated by large scaling exponents α ~ 0.87 of the mean square displacement of the world lines. For all eight action types we find strong signs for high levels of repetitiveness, especially for negative actions. We partition behavioral sequences into segments of length n (behavioral 'words' and 'motifs' and study their statistical properties. We find two approximate power laws in the word ranking distribution, one with an exponent of κ ~ -1 for the ranks up to 100, and another with a lower exponent for higher ranks. The Shannon n-tuple redundancy yields large values and increases in terms of word length, further underscoring the non-trivial statistical properties of behavioral sequences. On the collective, societal level the timeseries of particular actions per day can be understood by a simple mean-reverting log-normal model.

Class Collective Efficacy and Class Size as Moderators of the Relationship between Junior Middle School Students’ Externalizing Behavior and Academic Engagement: A Multilevel Study

Directory of Open Access Journals (Sweden)

Yu Tian

2017-07-01

Full Text Available This study examined the relationship between externalizing behavior and academic engagement, and tested the possibility of class collective efficacy and class size moderating this relationship. Data were collected from 28 Chinese classrooms (N = 1034 students; grades 7, 8, and 9 with student reports. Hierarchical linear modeling was used to test all hypotheses and results revealed a negative relationship between externalizing behavior and academic engagement; class collective efficacy was also significantly related to academic engagement. Additionally, class collective efficacy and class size moderated the relationship between externalizing behavior and academic engagement: For students in a class with high collective efficacy or small size (≤30 students, the relationship between externalizing behavior and academic engagement was weaker than for those in a class with low collective efficacy or large size (≥43 students. Results are discussed considering self-regulatory mechanisms and social environment theory, with possible implications for teachers of students’ learning provided.

[Tadalafil combined with behavior therapy for semen collection from infertile males in whom masturbation fails].

Science.gov (United States)

Tang, Wen-Hao; Jiang, Hui; Ma, Lu-Lin; Hong, Kai; Zhao, Lian-Ming; Liu, De-Feng; Mao, Jia-Ming; Yang, Yi; Zhang, Ju; Gao, Ling; Qiao, Jie

2013-05-01

To study the effect of Tadalafil combined with behavior therapy in helping obtain semen from infertile men in whom masturbation has failed. Sixty male infertile patients from whom masturbation had failed to obtain semen were equally assigned to receive Tadalafil combined with behavior therapy (combination group) or Tadalafil only (control group). All the patients took Tadalafil 20 mg orally the night before the day of semen collection by masturbation. Before this procedure, the patients of the combination group practiced masturbation 16 - 24 times at home. The average ages of the patients were (37.0 +/- 5.1) yr and (37.5 +/- 5.2) yr and their IIEF-5 scores were 16.50 +/- 1.25 and 16.90 +/- 1.09 in the combination and the control group, respectively, neither with statistically significant difference between the two groups. Semen was successfully obtained from 9 patients (30.0%) of the combination group and 1 patient (3.33%) of the control group, with statistically significant difference between the two groups (chi2 = 7.680, P masturbation, Tadalafil combined with behavior therapy can significantly increase the success rate of semen collection from the male infertile patients in whom masturbation fails.

Weak antilocalization effect and noncentrosymmetric superconductivity in a topologically nontrivial semimetal LuPdBi

KAUST Repository

Xu, Guizhou; Wang, Wenhong; Zhang, Xiaoming; Du, Yin; Liu, Enke; Wang, Shouguo; Wu, Guangheng; Liu, Zhongyuan; Zhang, Xixiang

2014-01-01

A large number of half-Heusler compounds have been recently proposed as three-dimensional (3D) topological insulators (TIs) with tunable physical properties. However, no transport measurements associated with the topological surface states have been observed in these half-Heusler candidates due to the dominating contribution from bulk electrical conductance. Here we show that, by reducing the mobility of bulk carriers, a two-dimensional (2D) weak antilocalization (WAL) effect, one of the hallmarks of topological surface states, was experimentally revealed from the tilted magnetic field dependence of magnetoconductance in a topologically nontrivial semimetal LuPdBi. Besides the observation of a 2D WAL effect, a superconducting transition was revealed at T c ∼ 1.7â.K in the same bulk LuPdBi. Quantitative analysis within the framework of a generalized BCS theory leads to the conclusion that the noncentrosymmetric superconductivity of LuPdBi is fully gapped with a possibly unconventional pairing character. The co-existence of superconductivity and the transport signature of topological surface states in the same bulk alloy suggests that LuPdBi represents a very promising candidate as a topological superconductor.

Weak antilocalization effect and noncentrosymmetric superconductivity in a topologically nontrivial semimetal LuPdBi

KAUST Repository

Xu, Guizhou

2014-07-21

A large number of half-Heusler compounds have been recently proposed as three-dimensional (3D) topological insulators (TIs) with tunable physical properties. However, no transport measurements associated with the topological surface states have been observed in these half-Heusler candidates due to the dominating contribution from bulk electrical conductance. Here we show that, by reducing the mobility of bulk carriers, a two-dimensional (2D) weak antilocalization (WAL) effect, one of the hallmarks of topological surface states, was experimentally revealed from the tilted magnetic field dependence of magnetoconductance in a topologically nontrivial semimetal LuPdBi. Besides the observation of a 2D WAL effect, a superconducting transition was revealed at T c ∼ 1.7â.K in the same bulk LuPdBi. Quantitative analysis within the framework of a generalized BCS theory leads to the conclusion that the noncentrosymmetric superconductivity of LuPdBi is fully gapped with a possibly unconventional pairing character. The co-existence of superconductivity and the transport signature of topological surface states in the same bulk alloy suggests that LuPdBi represents a very promising candidate as a topological superconductor.

Collective behaviors of mammalian cells on amine-coated silicon nanowires

International Nuclear Information System (INIS)

Kim, So Yeon; Yang, Eun Gyeong

2013-01-01

Intensive studies with vertical nanowire (NW) arrays have illustrated broad implications for manipulating mammalian cells in vitro, but how cellular responses are influenced by the presence of NWs has not been thoroughly investigated. Here, we address collective cellular behaviors, including surface area of cells, membrane trafficking, focal adhesion distribution and dynamics, and cytoskeletal protein distribution on amine-coated silicon (Si) NWs with different physical properties. The degree of HeLa cell spreading was inversely proportional to the surface area occupied by the NWs, which was not affected by manipulation of membrane trafficking dynamics. In the presence of a diffusive focal complex around the NWs, strong, well organized focal adhesion was hardly visible on the NWs, implying that the cells were interacting weakly with the NW-embedded surface. Furthermore, we found that actin filament formation of the cells on long NWs was not favorable, and this could explain our observation of reduced cell spreading, as well as the decreased number of focal adhesion complexes. Taken together, our results suggest that cells can survive on silicon NWs by adjusting their morphology and adhesion behavior through actively organizing these molecules. (paper)

Catalytic micromotors and micropumps and their collective behavior

Science.gov (United States)

Ibele, Michael Edward

The overarching goal which initiated this research was the desire to learn how to synthesize artificial micrometer- and nanometer-sized objects which have the ability to move autonomously in solution, and to be able to understand, predict, and control their movements. In the natural world, such motion is common. Bacteria, for instance, use flagella, cilia, or other mechanisms to chemotax to nutrient-rich regions of their environments. However, at the outset of this research, only a few simple examples of artificially powered motions on the microscale had been reported in the literature. This dissertation discusses the evolution of artificial catalytic micromotors and micropumps from the initial bimetallic-microrod design, which catalyzed the decomposition of hydrogen peroxide (H2O2), to the current state of the field, in which particle motion can also be powered by hydrazine-derived fuels or by ultraviolet light. Analyses of these new motors are presented, with particular emphasis given to the motormotor interactions which occur in solution and which give rise to collective behavior in dense populations of the motors. The first artificial autonomous micromotor ever synthesized consisted of a bimetallic microrod with spatially segregated gold and platinum segments. When placed in aqueous solutions containing H2O2, this microrod decomposed the H2O2 asymmetrically on its two metallic surfaces and powered its own motion through solution via self-electrophoresis. In this dissertation, it is shown that a similar self-electrophoretic mechanism is at play in a micropump system comprised of spatially segregated, lithographically patterned, palladium and gold features, which operates in solutions of either hydrazine (N2H4) or N,N-dimethylhydrazine [(CH 3)2N(NH3)]. While this new electrophoretic system is interesting from a theoretical standpoint, N2H4 is highly toxic, and the decision was made to move on to other more environmentally friendly systems. The bulk of this

Quantum Probabilities as Behavioral Probabilities

Directory of Open Access Journals (Sweden)

Vyacheslav I. Yukalov

2017-03-01

Full Text Available We demonstrate that behavioral probabilities of human decision makers share many common features with quantum probabilities. This does not imply that humans are some quantum objects, but just shows that the mathematics of quantum theory is applicable to the description of human decision making. The applicability of quantum rules for describing decision making is connected with the nontrivial process of making decisions in the case of composite prospects under uncertainty. Such a process involves deliberations of a decision maker when making a choice. In addition to the evaluation of the utilities of considered prospects, real decision makers also appreciate their respective attractiveness. Therefore, human choice is not based solely on the utility of prospects, but includes the necessity of resolving the utility-attraction duality. In order to justify that human consciousness really functions similarly to the rules of quantum theory, we develop an approach defining human behavioral probabilities as the probabilities determined by quantum rules. We show that quantum behavioral probabilities of humans do not merely explain qualitatively how human decisions are made, but they predict quantitative values of the behavioral probabilities. Analyzing a large set of empirical data, we find good quantitative agreement between theoretical predictions and observed experimental data.

An Animal Model for Collective Behavior in Humans: The Impact of Manipulated Trust and Aggression

Science.gov (United States)

2014-04-30

political choice, in consumer preferences , etc.). Numerous terms and theories have been posited in order to explain this group effect (‘Herd morality’; ‘Herd...human collective behavior (e.g. in the stock market, in political choice, in consumer preferences , etc), as well as disclosing the underlying

Collective Behaviors of Mobile Robots Beyond the Nearest Neighbor Rules With Switching Topology.

Science.gov (United States)

Ning, Boda; Han, Qing-Long; Zuo, Zongyu; Jin, Jiong; Zheng, Jinchuan

2018-05-01

This paper is concerned with the collective behaviors of robots beyond the nearest neighbor rules, i.e., dispersion and flocking, when robots interact with others by applying an acute angle test (AAT)-based interaction rule. Different from a conventional nearest neighbor rule or its variations, the AAT-based interaction rule allows interactions with some far-neighbors and excludes unnecessary nearest neighbors. The resulting dispersion and flocking hold the advantages of scalability, connectivity, robustness, and effective area coverage. For the dispersion, a spring-like controller is proposed to achieve collision-free coordination. With switching topology, a new fixed-time consensus-based energy function is developed to guarantee the system stability. An upper bound of settling time for energy consensus is obtained, and a uniform time interval is accordingly set so that energy distribution is conducted in a fair manner. For the flocking, based on a class of generalized potential functions taking nonsmooth switching into account, a new controller is proposed to ensure that the same velocity for all robots is eventually reached. A co-optimizing problem is further investigated to accomplish additional tasks, such as enhancing communication performance, while maintaining the collective behaviors of mobile robots. Simulation results are presented to show the effectiveness of the theoretical results.

New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet.

Science.gov (United States)

Glenn, Tasha; Monteith, Scott

2014-12-01

With the rapid and ubiquitous acceptance of new technologies, algorithms will be used to estimate new measures of mental state and behavior based on digital data. The algorithms will analyze data collected from sensors in smartphones and wearable technology, and data collected from Internet and smartphone usage and activities. In the future, new medical measures that assist with the screening, diagnosis, and monitoring of psychiatric disorders will be available despite unresolved reliability, usability, and privacy issues. At the same time, similar non-medical commercial measures of mental state are being developed primarily for targeted advertising. There are societal and ethical implications related to the use of these measures of mental state and behavior for both medical and non-medical purposes.

Coherence and incoherence collective behavior in financial market

Science.gov (United States)

Zhao, Shangmei; Xie, Qiuchao; Lu, Qing; Jiang, Xin; Chen, Wei

2015-10-01

Financial markets have been extensively studied as highly complex evolving systems. In this paper, we quantify financial price fluctuations through a coupled dynamical system composed of phase oscillators. We find that a Financial Coherence and Incoherence (FCI) coexistence collective behavior emerges as the system evolves into the stable state, in which the stocks split into two groups: one is represented by coherent, phase-locked oscillators, the other is composed of incoherent, drifting oscillators. It is demonstrated that the size of the coherent stock groups fluctuates during the economic periods according to real-world financial instabilities or shocks. Further, we introduce the coherent characteristic matrix to characterize the involvement dynamics of stocks in the coherent groups. Clustering results on the matrix provides a novel manifestation of the correlations among stocks in the economic periods. Our analysis for components of the groups is consistent with the Global Industry Classification Standard (GICS) classification and can also figure out features for newly developed industries. These results can provide potentially implications on characterizing the inner dynamical structure of financial markets and making optimal investment into tragedies.

Residential Cooking Behavior in the United States: Data Collected from a Web-Based Survey

Energy Technology Data Exchange (ETDEWEB)

Huang, Y. W; Andrew, E. E; Hu, T. C; Singer, B. C; Ding, L.; Logue, J. M

2014-08-01

Cooking has a significant impact on indoor air quality. When cooking occurs, how foods are cooked, and the types of food that are cooked have all been shown to impact the rate at which occupants are exposed to pollutants. Home occupancy characteristics impact how concentrations in the home translate into exposures for the occupants. With the intent of expanding our understanding of cooking behavior in the U.S., we developed and advertised an online survey to collect household cooking behavior for the 24 hrs prior to taking the survey. The survey questions were designed to address gaps in knowledge needed to predict the impact of cooking on indoor concentrations of PM2.5 and other pollutants. The survey included the following questions: 1) which meals households ate at home; 2) number of household members at home during cooking; 3) the type of oil used for cooking; 4) the type of foods cooked at each meal; 5) the type of cooking devices used; and 6) the methods selected for food preparation. We also collected information on household characteristics such as their location (zip code), ethnicity, and ages of family members. We analyzed the variability in home cooking characteristics for households in different climate zones and with four different types of family compositions: 1 senior living alone, 1 adult living alone, 2 or more adults/seniors, and families with children. We used simple statistical tests to determine if the probability of certain cooking behaviors differed between these subgroups.

Collective motion in behaviorally heterogeneous systems

OpenAIRE

Copenhagen, Katherine

2017-01-01

Collective motion is a widespread phenomenon in nature where individuals actively propel themselves, gather together and move as a group. Some examples of collective motion are bird flocks, fish schools, bacteria swarms, cell clusters, and crowds of people. Many models seek to understand the effects of activity in collective systems including things such as environmental disorder, density, and interaction details primarily at infinite size limits and with uniform populations. In this disserta...

Spherically symmetric random walks. II. Dimensionally dependent critical behavior

International Nuclear Information System (INIS)

Bender, C.M.; Boettcher, S.; Meisinger, P.N.

1996-01-01

A recently developed model of random walks on a D-dimensional hyperspherical lattice, where D is not restricted to integer values, is extended to include the possibility of creating and annihilating random walkers. Steady-state distributions of random walkers are obtained for all dimensions D approx-gt 0 by solving a discrete eigenvalue problem. These distributions exhibit dimensionally dependent critical behavior as a function of the birth rate. This remarkably simple model exhibits a second-order phase transition with a universal, nontrivial critical exponent for all dimensions D approx-gt 0. copyright 1996 The American Physical Society

Applications of Canonical transformations and nontrivial vacuum solutions to flavor mixing and critical phenomena in quantum field theory

International Nuclear Information System (INIS)

Mishchenko, Yuriy

2004-01-01

MISHCHENKO, YURIY. Applications of Canonical Transformations and Nontrivial Vacuum Solutions to flavor mixing and critical phenomena in Quantum Field Theory. (Under the direction of Chueng-Ryong Ji.) In this dissertation we consider two recent applications of Bogoliubov Transformation to the phenomenology of quantum mixing and the theory of critical phenomena. In recent years quantum mixing got in the focus of the searches for New Physics due to its unparalleled sensitivity to SM parameters and indications of neutrino mixing. It was recently suggested that Bogoliubov Transformation may be important in proper definition of the flavor states that otherwise results in problems in perturbative treatment. As first part of this dissertation we investigate this conjecture and develop a complete formulation of such a mixing field theory involving introduction of general formalism, analysis of space-time conversion and phenomenological implications. As second part of this dissertati

Applications of Canonical transformations and nontrivial vacuum solutions to flavor mixing and critical phenomena in quantum field theory

Energy Technology Data Exchange (ETDEWEB)

Mishchenko, Yuriy [North Carolina State Univ., Raleigh, NC (United States)

2004-12-01

MISHCHENKO, YURIY. Applications of Canonical Transformations and Nontrivial Vacuum Solutions to flavor mixing and critical phenomena in Quantum Field Theory. (Under the direction of Chueng-Ryong Ji.) In this dissertation we consider two recent applications of Bogoliubov Transformation to the phenomenology of quantum mixing and the theory of critical phenomena. In recent years quantum mixing got in the focus of the searches for New Physics due to its unparalleled sensitivity to SM parameters and indications of neutrino mixing. It was recently suggested that Bogoliubov Transformation may be important in proper definition of the flavor states that otherwise results in problems in perturbative treatment. As first part of this dissertation we investigate this conjecture and develop a complete formulation of such a mixing field theory involving introduction of general formalism, analysis of space-time conversion and phenomenological implications. As second part of this dissertati

Collective Schema, As a New Concept Suggesting and a View to Proverbs from Cognitive Behavioral Point of View

Directory of Open Access Journals (Sweden)

Esat SANLI

2016-08-01

Full Text Available Cognitive Behavioral Tharapy doctrine and clinical accumulation have shown that there is a causal link between moods, paradigms, and assessments. These cognitive contents are named as automatic thoughts and schemas. Rational- adaptive automatic thoughts and schemas while bring to person good mood, irrational-maladaptive automatic thoughts and schemas bring to patology. On the other hand this cognitive structures have fed by accepted culture by society and components of this culture such as songs and proverbs which possess necessity and rules. The basic aim of this study is put forth concept of “collective schema” which will be assessable content in Cognitive Behavioral Approach , and clarifying bases of this concept deal with proverbs. In this sense, adaptive and maladaptive aspects of collective shema concept, have been commented, cognitive disortions which fed by maladaptive schemas deal with collective aspect, have been categorised and illustrated with proverbs. With this study we aimed create a groundwork for previous studies. [JCBPR 2016; 5(2.000: 85-93

Principles and strategies for monitoring data collection integrity in a multi-site randomized clinical trial of a behavioral intervention.

Science.gov (United States)

Phillips-Salimi, Celeste R; Donovan Stickler, Molly A; Stegenga, Kristin; Lee, Melissa; Haase, Joan E

2011-08-01

Although treatment fidelity strategies for enhancing the integrity of behavioral interventions have been well described, little has been written about monitoring data collection integrity. This article describes the principles and strategies developed to monitor data collection integrity of the "Stories and Music for Adolescent/Young Adult Resilience During Transplant" study (R01NR008583, U10CA098543, and U10CA095861)-a multi-site Children's Oncology Group randomized clinical trial of a music therapy intervention for adolescents and young adults undergoing stem cell transplant. The principles and strategies outlined in this article provide one model for development and evaluation of a data collection integrity monitoring plan for behavioral interventions that may be adapted by investigators and may be useful to funding agencies and grant application reviewers in evaluating proposals. Copyright © 2011 Wiley Periodicals, Inc.

Communication and the Emergence of Collective Behavior in Living Organisms: A Quantum Approach

Science.gov (United States)

Bischof, Marco; Del Giudice, Emilio

2013-01-01

Intermolecular interactions within living organisms have been found to occur not as individual independent events but as a part of a collective array of interconnected events. The problem of the emergence of this collective dynamics and of the correlated biocommunication therefore arises. In the present paper we review the proposals given within the paradigm of modern molecular biology and those given by some holistic approaches to biology. In recent times, the collective behavior of ensembles of microscopic units (atoms/molecules) has been addressed in the conceptual framework of Quantum Field Theory. The possibility of producing physical states where all the components of the ensemble move in unison has been recognized. In such cases, electromagnetic fields trapped within the ensemble appear. In the present paper we present a scheme based on Quantum Field Theory where molecules are able to move in phase-correlated unison among them and with a self-produced electromagnetic field. Experimental corroboration of this scheme is presented. Some consequences for future biological developments are discussed. PMID:24288611

Behavioral analysis of differential Hebbian learning in closed-loop systems

DEFF Research Database (Denmark)

Kulvicius, Tomas; Kolodziejski, Christoph; Tamosiunaite, Minija

2010-01-01

Understanding closed loop behavioral systems is a non-trivial problem, especially when they change during learning. Descriptions of closed loop systems in terms of information theory date back to the 1950s, however, there have been only a few attempts which take into account learning, mostly...... measuring information of inputs. In this study we analyze a specific type of closed loop system by looking at the input as well as the output space. For this, we investigate simulated agents that perform differential Hebbian learning (STDP). In the first part we show that analytical solutions can be found...

The State of Collective Intelligence Behavior and Practices of Danish Corporations

DEFF Research Database (Denmark)

Hallin, Carina Antonia

, quality in creativity and innovation, and the ability to predict new market trends and operational changes better than the competition. The purpose of this research is to map the state of collective intelligence behavior and related crowdsourcing methods applied by CEOs, directors and managers of Denmark......Danish corporations face challenges in adapting to the fourth industrial revolution resulting from the evolution in information technology and digitalization. Overall, the fourth industrial revolution has led to new requirements for Danish companies that are challenged in terms of efficiency, cost...... of creative and innovative solutions), prediction markets, and crowd predictions without markets. In addition, we examine various factors that can determine the usage of crowdsourcing within the individual company....

Collective mechanical behavior of multilayer colloidal arrays of hollow nanoparticles.

Science.gov (United States)

Yin, Jie; Retsch, Markus; Thomas, Edwin L; Boyce, Mary C

2012-04-03

The collective mechanical behavior of multilayer colloidal arrays of hollow silica nanoparticles (HSNP) is explored under spherical nanoindentation through a combination of experimental, numerical, and theoretical approaches. The effective indentation modulus E(ind) is found to decrease with an increasing number of layers in a nonlinear manner. The indentation force versus penetration depth behavior for multilayer hollow particle arrays is predicted by an approximate analytical model based on the spring stiffness of the individual particles and the multipoint, multiparticle interactions as well as force transmission between the layers. The model is in good agreement with experiments and with detailed finite element simulations. The ability to tune the effective indentation modulus, E(ind), of the multilayer arrays by manipulating particle geometry and layering is revealed through the model, where E(ind) = (0.725m(-3/2) + 0.275)E(mon) and E(mon) is the monolayer modulus and m is number of layers. E(ind) is seen to plateau with increasing m to E(ind_plateau) = 0.275E(mon) and E(mon) scales with (t/R)(2), t being the particle shell thickness and R being the particle radius. The scaling law governing the nonlinear decrease in indentation modulus with an increase in layer number (E(ind) scaling with m(-3/2)) is found to be similar to that governing the indentation modulus of thin solid films E(ind_solid) on a stiff substrate (where E(ind_solid) scales with h(-1.4) and also decreases until reaching a plateau value) which also decreases with an increase in film thickness h. However, the mechanisms underlying this trend for the colloidal array are clearly different, where discrete particle-to-particle interactions govern the colloidal array behavior in contrast to the substrate constraint on deformation, which governs the thickness dependence of the continuous thin film indentation modulus.

Interplay of differential cell mechanical properties, motility, and proliferation in emergent collective behavior of cell co-cultures

Science.gov (United States)

Sutter, Leo; Kolbman, Dan; Wu, Mingming; Ma, Minglin; Das, Moumita

The biophysics of cell co-cultures, i.e. binary systems of cell populations, is of great interest in many biological processes including formation of embryos, and tumor progression. During these processes, different types of cells with different physical properties are mixed with each other, with important consequences for cell-cell interaction, aggregation, and migration. The role of the differences in their physical properties in their collective behavior remains poorly understood. Furthermore, until recently most theoretical studies of collective cell migration have focused on two dimensional systems. Under physiological conditions, however, cells often have to navigate three dimensional and confined micro-environments. We study a confined, three-dimensional binary system of interacting, active, and deformable particles with different physical properties such as deformability, motility, adhesion, and division rates using Langevin Dynamics simulations. Our findings may provide insights into how the differences in and interplay between cell mechanical properties, division, and motility influence emergent collective behavior such as cell aggregation and segregation experimentally observed in co-cultures of breast cancer cells and healthy breast epithelial cells. This work was partially supported by a Cottrell College Science Award.

Symmetry pattern transition in cellular automata with complex behavior

International Nuclear Information System (INIS)

Sanchez, Juan R.; Lopez-Ruiz, Ricardo

2008-01-01

A transition from asymmetric to symmetric patterns in time-dependent extended systems is described. It is shown that one dimensional cellular automata, started from fully random initial conditions, can be forced to evolve into complex symmetrical patterns by stochastically coupling a proportion p of pairs of sites located at equal distance from the center of the lattice. A nontrivial critical value of p must be surpassed in order to obtain symmetrical patterns during the evolution. This strategy is able to classify the cellular automata rules - with complex behavior - between those that support time-dependent symmetric patterns and those which do not support such kind of patterns

A portable platform to collect and review behavioral data simultaneously with neurophysiological signals.

Science.gov (United States)

Tianxiao Jiang; Siddiqui, Hasan; Ray, Shruti; Asman, Priscella; Ozturk, Musa; Ince, Nuri F

2017-07-01

This paper presents a portable platform to collect and review behavioral data simultaneously with neurophysiological signals. The whole system is comprised of four parts: a sensor data acquisition interface, a socket server for real-time data streaming, a Simulink system for real-time processing and an offline data review and analysis toolbox. A low-cost microcontroller is used to acquire data from external sensors such as accelerometer and hand dynamometer. The micro-controller transfers the data either directly through USB or wirelessly through a bluetooth module to a data server written in C++ for MS Windows OS. The data server also interfaces with the digital glove and captures HD video from webcam. The acquired sensor data are streamed under User Datagram Protocol (UDP) to other applications such as Simulink/Matlab for real-time analysis and recording. Neurophysiological signals such as electroencephalography (EEG), electrocorticography (ECoG) and local field potential (LFP) recordings can be collected simultaneously in Simulink and fused with behavioral data. In addition, we developed a customized Matlab Graphical User Interface (GUI) software to review, annotate and analyze the data offline. The software provides a fast, user-friendly data visualization environment with synchronized video playback feature. The software is also capable of reviewing long-term neural recordings. Other featured functions such as fast preprocessing with multithreaded filters, annotation, montage selection, power-spectral density (PSD) estimate, time-frequency map and spatial spectral map are also implemented.

Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment

International Nuclear Information System (INIS)

Castellani, Francesco; Astolfi, Davide; Sdringola, Paolo; Proietti, Stefania; Terzi, Ludovico

2017-01-01

Highlights: • The directional behavior of four turbines of an onshore wind farm is investigated. • The positions of the nacelles are discretized to highlight clusterization effects. • The recurrent alignment patterns of the cluster are individuated and analyzed. • The patterns are studied by the point of view of efficiency and power output. • Significative performance deviations arise among the most frequent configurations. - Abstract: SCADA control systems are the keystone for reliable performance optimization of wind farms. Processing into knowledge the amount of information they spread is a challenging task, involving engineering, physics, statistics and computer science skills. This work deals with SCADA data analysis methods for assessing the importance of how wind turbines align in patterns to the wind direction. In particular it deals with the most common collective phenomenon causing clusters of turbines behaving as a whole, rather than as a collection of individuality: wake effects. The approach is based on the discretization of nacelle position measurements and subsequent post-processing through simple statistical methods. A cluster, severely affected by wakes, from an onshore wind farm, is selected as test case. The dominant alignment patterns of the cluster are identified and analyzed by the point of view of power output and efficiency. It is shown that non-trivial alignments with respect to the wind direction arise and important performance deviations occur among the most frequent configurations.

Collective Behavior of Amoebae in Thin Films

Science.gov (United States)

Bae, Albert

2005-03-01

We have discovered new aspects of social behavior in Dictyostelium discoideum by culturing high density colonies in liquid media depleted of nutrients in confined geometries by using three different preparations: I. thin (15-40um thick) and II. ultrathin (behavior of cells despite flattening that increased their areas by over an order of magnitude. We also observed that the earliest synchronized response of cells following the onset of starvation, a precursor to aggregation, was hastened by reducing the thickness of the aqueous culture layer. We were surprised to find that the threshold concentration for aggregation was raised by thin film confinement when compared to bulk behavior. Finally, both the ultra thin and microfluidic preparations reveal, with new clarity, vortex states of aggregation.

Spatially quantifying the leadership effectiveness in collective behavior

International Nuclear Information System (INIS)

Zhang Haitao; Wang Ning; Chen, Michael Z Q; Su Riqi; Zhou Tao; Zhou Changsong

2010-01-01

Among natural biological flocks/swarms or mass social activities, when the collective behavior of the followers has been dominated by the direction or opinion of one leader group, it seems difficult for later-coming leaders to reverse the orientation of the mass followers, especially when they are in quantitative minority. This paper, however, reports a counter-intuitive phenomenon, i.e. Following the Later-coming Minority, provided that the later-comers obey a favorable distribution pattern that enables them to spread their influence to as many followers as possible within a given time and to be dense enough to govern these local followers they can influence directly from the beginning. We introduce a discriminant index to quantify the whole group's orientation under competing leaderships, with which the eventual orientation of the mass followers can be predicted before launching the real dynamical procedure. From the application point of view, this leadership effectiveness index also helps us to design an economical way for the minority later-coming leaders to defeat the dominating majority leaders solely by optimizing their spatial distribution pattern provided that the premeditated goal is available. Our investigation provides insights into effective leadership in biological systems with meaningful implications for social and industrial applications.

Spatially quantifying the leadership effectiveness in collective behavior

Energy Technology Data Exchange (ETDEWEB)

Zhang Haitao [State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China); Wang Ning [Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China); Chen, Michael Z Q [Department of Mechanical Engineering, University of Hong Kong, Pok Fu Lam Road, Hong Kong (Hong Kong); Su Riqi; Zhou Tao [Department of Modern Physics, University of Science and Technology of China, Hefei 230026 (China); Zhou Changsong, E-mail: zht@mail.hust.edu.cn, E-mail: cszhou@hkbu.edu.hk, E-mail: zhutou@ustc.edu [Department of Physics, Centre for Nonlinear Studies, and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Hong Kong Baptist University, Kowloon Tong (Hong Kong)

2010-12-15

Among natural biological flocks/swarms or mass social activities, when the collective behavior of the followers has been dominated by the direction or opinion of one leader group, it seems difficult for later-coming leaders to reverse the orientation of the mass followers, especially when they are in quantitative minority. This paper, however, reports a counter-intuitive phenomenon, i.e. Following the Later-coming Minority, provided that the later-comers obey a favorable distribution pattern that enables them to spread their influence to as many followers as possible within a given time and to be dense enough to govern these local followers they can influence directly from the beginning. We introduce a discriminant index to quantify the whole group's orientation under competing leaderships, with which the eventual orientation of the mass followers can be predicted before launching the real dynamical procedure. From the application point of view, this leadership effectiveness index also helps us to design an economical way for the minority later-coming leaders to defeat the dominating majority leaders solely by optimizing their spatial distribution pattern provided that the premeditated goal is available. Our investigation provides insights into effective leadership in biological systems with meaningful implications for social and industrial applications.

78 FR 2682 - Agency Information Collection Activities: Proposed Collection; Comment Request

Science.gov (United States)

2013-01-14

... center follow-up on readmissions to the emergency department for suicidal behavior. The data collected... from patient data include: Demographic data, historical data, and subsequent suicidal behavioral and...

Turnover, account value and diversification of real traders: evidence of collective portfolio optimizing behavior

Science.gov (United States)

Morton de Lachapelle, David; Challet, Damien

2010-07-01

Despite the availability of very detailed data on financial markets, agent-based modeling is hindered by the lack of information about real trader behavior. This makes it impossible to validate agent-based models, which are thus reverse-engineering attempts. This work is a contribution towards building a set of stylized facts about the traders themselves. Using the client database of Swissquote Bank SA, the largest online Swiss broker, we find empirical relationships between turnover, account values and the number of assets in which a trader is invested. A theory based on simple mean-variance portfolio optimization that crucially includes variable transaction costs is able to reproduce faithfully the observed behaviors. We finally argue that our results bring to light the collective ability of a population to construct a mean-variance portfolio that takes into account the structure of transaction costs.

Interplay between cost and benefits triggers nontrivial vaccination uptake

Science.gov (United States)

Steinegger, Benjamin; Cardillo, Alessio; Rios, Paolo De Los; Gómez-Gardeñes, Jesús; Arenas, Alex

2018-03-01

The containment of epidemic spreading is a major challenge in science. Vaccination, whenever available, is the best way to prevent the spreading, because it eventually immunizes individuals. However, vaccines are not perfect, and total immunization is not guaranteed. Imperfect immunization has driven the emergence of antivaccine movements that totally alter the predictions about the epidemic incidence. Here, we propose a mathematically solvable mean-field vaccination model to mimic the spontaneous adoption of vaccines against influenzalike diseases and the expected epidemic incidence. The results are in agreement with extensive Monte Carlo simulations of the epidemics and vaccination coevolutionary processes. Interestingly, the results reveal a nonmonotonic behavior on the vaccination coverage that increases with the imperfection of the vaccine and after decreases. This apparent counterintuitive behavior is analyzed and understood from stability principles of the proposed mathematical model.

Driving simulator validation of driver behavior with limited safe vantage points for data collection in work zones.

Science.gov (United States)

Bham, Ghulam H; Leu, Ming C; Vallati, Manoj; Mathur, Durga R

2014-06-01

This study is aimed at validating a driving simulator (DS) for the study of driver behavior in work zones. A validation study requires field data collection. For studies conducted in highway work zones, the availability of safe vantage points for data collection at critical locations can be a significant challenge. A validation framework is therefore proposed in this paper, demonstrated using a fixed-based DS that addresses the issue by using a global positioning system (GPS). The validation of the DS was conducted using objective and subjective evaluations. The objective validation was divided into qualitative and quantitative evaluations. The DS was validated by comparing the results of simulation with the field data, which were collected using a GPS along the highway and video recordings at specific locations in a work zone. The constructed work zone scenario in the DS was subjectively evaluated with 46 participants. The objective evaluation established the absolute and relative validity of the DS. The mean speeds from the DS data showed excellent agreement with the field data. The subjective evaluation indicated realistic driving experience by the participants. The use of GPS showed that continuous data collected along the highway can overcome the challenges of unavailability of safe vantage points especially at critical locations. Further, a validated DS can be used for examining driver behavior in complex situations by replicating realistic scenarios. Copyright © 2014 Elsevier Ltd. All rights reserved.

Contractions without non-trivial invariant subspaces satisfying a positivity condition

Directory of Open Access Journals (Sweden)

Bhaggy Duggal

2016-04-01

Full Text Available Abstract An operator A ∈ B ( H $A\\in B(\\mathcal{H}$ , the algebra of bounded linear transformations on a complex infinite dimensional Hilbert space H $\\mathcal{H}$ , belongs to class A ( n $\\mathcal{A}(n$ (resp., A ( ∗ − n $\\mathcal{A}(*-n$ if | A | 2 ≤ | A n + 1 | 2 n + 1 $\\vert A\\vert^{2}\\leq\\vert A^{n+1}\\vert^{\\frac{2}{n+1}}$ (resp., | A ∗ | 2 ≤ | A n + 1 | 2 n + 1 $\\vert A^{*}\\vert^{2}\\leq \\vert A^{n+1}\\vert^{\\frac{2}{n+1}}$ for some integer n ≥ 1 $n\\geq1$ , and an operator A ∈ B ( H $A\\in B(\\mathcal{H}$ is called n-paranormal, denoted A ∈ P ( n $A\\in \\mathcal{P}(n$ (resp., ∗ − n $*-n$ -paranormal, denoted A ∈ P ( ∗ − n $A\\in \\mathcal{P}(*-n$ if ∥ A x ∥ n + 1 ≤ ∥ A n + 1 x ∥ ∥ x ∥ n $\\Vert Ax\\Vert ^{n+1}\\leq \\Vert A^{n+1}x\\Vert \\Vert x\\Vert ^{n}$ (resp., ∥ A ∗ x ∥ n + 1 ≤ ∥ A n + 1 x ∥ ∥ x ∥ n $\\Vert A^{*}x\\Vert ^{n+1}\\leq \\Vert A^{n+1}x\\Vert \\Vert x\\Vert ^{n}$ for some integer n ≥ 1 $n\\geq 1$ and all x ∈ H $x \\in\\mathcal{H}$ . In this paper, we prove that if A ∈ { A ( n ∪ P ( n } $A\\in\\{\\mathcal{A}(n\\cup \\mathcal{P}(n\\}$ (resp., A ∈ { A ( ∗ − n ∪ P ( ∗ − n } $A\\in\\{\\mathcal{A}(*-n\\cup \\mathcal{P}(*-n\\}$ is a contraction without a non-trivial invariant subspace, then A, | A n + 1 | 2 n + 1 − | A | 2 $\\vert A^{n+1}\\vert^{\\frac{2}{n+1}}-\\vert A\\vert^{2}$ and | A n + 1 | 2 − n + 1 n | A | 2 + 1 $\\vert A^{n+1}\\vert^{2}- {\\frac{n+1}{n}}\\vert A\\vert^{2}+ 1$ (resp., A, | A n + 1 | 2 n + 1 − | A ∗ | 2 $\\vert A^{n+1}\\vert^{\\frac{2}{n+1}}-\\vert A^{*}\\vert^{2}$ and | A n + 2 | 2 − n + 1 n | A | 2 + 1 ≥ 0 $\\vert A^{n+2}\\vert^{2}- {\\frac{n+1}{n}}\\vert A\\vert^{2}+ 1\\geq0$ are proper contractions.

Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance /

OpenAIRE

Lah, Mike Myoungwhan

2013-01-01

Researchers study social networks to understand how individuals with similar behavior form clusters, and what causes them to do so. Universities are interested in learning more about influential factors of student behavior, including the impact that their social networks have on these behaviors. We have done foundational work to collect a dataset about UCSD student social network data gathered from Facebook and academic data from the UCSD Registrar. Once complete, the social network portion o...

Behavior of Collective Cooperation Yielded by Two Update Rules in Social Dilemmas: Combining Fermi and Moran Rules

International Nuclear Information System (INIS)

Xia Chengyi; Wang Lei; Wang Jinsong; Wang Juan

2012-01-01

We combine the Fermi and Moran update rules in the spatial prisoner's dilemma and snowdrift games to investigate the behavior of collective cooperation among agents on the regular lattice. Large-scale simulations indicate that, compared to the model with only one update rule, the cooperation behavior exhibits the richer phenomena, and the role of update dynamics should be paid more attention in the evolutionary game theory. Meanwhile, we also observe that the introduction of Moran rule, which needs to consider all neighbor's information, can markedly promote the aggregate cooperation level, that is, randomly selecting the neighbor proportional to its payoff to imitate will facilitate the cooperation among agents. Current results will contribute to further understand the cooperation dynamics and evolutionary behaviors within many biological, economic and social systems.

Behavior of Collective Cooperation Yielded by Two Update Rules in Social Dilemmas: Combining Fermi and Moran Rules

Science.gov (United States)

Xia, Cheng-Yi; Wang, Lei; Wang, Juan; Wang, Jin-Song

2012-09-01

We combine the Fermi and Moran update rules in the spatial prisoner's dilemma and snowdrift games to investigate the behavior of collective cooperation among agents on the regular lattice. Large-scale simulations indicate that, compared to the model with only one update rule, the cooperation behavior exhibits the richer phenomena, and the role of update dynamics should be paid more attention in the evolutionary game theory. Meanwhile, we also observe that the introduction of Moran rule, which needs to consider all neighbor's information, can markedly promote the aggregate cooperation level, that is, randomly selecting the neighbor proportional to its payoff to imitate will facilitate the cooperation among agents. Current results will contribute to further understand the cooperation dynamics and evolutionary behaviors within many biological, economic and social systems.

Collective Behavior of Animals: Swarming and Complex Patterns

Directory of Open Access Journals (Sweden)

Cañizo, J. A.

2010-12-01

Full Text Available In this short note we review some of the individual based models of the collective motion of agents, called swarming. These models based on ODEs (ordinary differential equations exhibit a complex rich asymptotic behavior in terms of patterns, that we show numerically. Moreover, we comment on how these particle models are connected to partial differential equations to describe the evolution of densities of individuals in a continuum manner. The mathematical questions behind the stability issues of these PDE (partial differential equations models are questions of actual interest in mathematical biology research.

En esta nota repasamos algunos modelos basados en individuos para describir el movimiento colectivo de agentes, a lo que nos referimos usando la voz inglesa swarming. Estos modelos se basan en EDOs (ecuaciones diferenciales ordinarias y muestran un comportamiento asintótico complejo y rico en patrones, que mostramos numéricamente. Además, comentamos cómo se conectan estos modelos de partículas con las ecuaciones en derivadas parciales para describir la evolución de densidades de individuos de forma continua. Las cuestiones matemáticas relacionadas con la estabilidad de de estos modelos de EDP's (ecuaciones en derivadas parciales despiertan gran interés en la investigación en biología matemática.

Collective cell behavior on basement membranes floating in space

Science.gov (United States)

Ellison, Sarah; Bhattacharjee, Tapomoy; Morley, Cameron; Sawyer, W.; Angelini, Thomas

The basement membrane is an essential part of the polarity of endothelial and epithelial tissues. In tissue culture and organ-on-chip devices, monolayer polarity can be established by coating flat surfaces with extracellular matrix proteins and tuning the trans-substrate permeability. In epithelial 3D culture, spheroids spontaneously establish inside-out polarity, morphing into hollow shell-like structures called acini, generating their own basement membrane on the inner radius of the shell. However, 3D culture approaches generally lack the high degree of control provided by the 2D culture plate or organ-on-chip devices, making it difficult to create more faithful in vitro tissue models with complex surface curvature and morphology. Here we present a method for 3D printing complex basement membranes covered in cells. We 3D print collagen-I and Matrigel into a 3D growth medium made from jammed microgels. This soft, yielding material allows extracellular matrix to be formed as complex surfaces and shapes, floating in space. We then distribute MCF10A epithelial cells across the polymerized surface. We envision employing this strategy to study 3D collective cell behavior in numerous model tissue layers, beyond this simple epithelial model.

Behavior of secondary particles in particulate matter collected at eastern Kanagawa

International Nuclear Information System (INIS)

Nishida, Tomohiro; Kikawada, Yoshikazu; Oi, Takao; Honda, Teruyuki

2008-01-01

The suspended particulate matters collected in 100 periods from 2002/10/28 to 2004/10/29 were separated into the water soluble and insoluble components and their main components were analyzed. The characteristics of atmosphere in the east part of Kagawa prefecture and of the secondary particulates were presumed. Therefore, it was considered that in the samples other than Mn the origins of water soluble and insoluble components are different each other from their behavior. The water-soluble part may be mostly ammonium salt (secondary particulate) from the measurement of NH 4 + . Furthermore, it became clear that the evolution of secondary particulate varies largely with season. Then, the variation with season was presumed by the main component analysis using the statistical software, SPSS adding to the correlation coefficient. This method has proved to be effective. (M.H.)

Probing collective effects in hadronisation with the extremes of the underlying event

Energy Technology Data Exchange (ETDEWEB)

Martin, T.; Farrington, S. [University of Warwick, Department of Physics, Coventry (United Kingdom); Skands, P. [Monash University, School of Physics and Astronomy, Clayton, VIC (Australia)

2016-05-15

We define a new set of observables to probe the structure of the underlying event in hadron collisions. We use the conventional definition of the ''transverse region'' in jet events and, for a fixed window in jet p {sub perpendicular} {sub to}, propose to measure several discriminating quantities as a function of the level of activity in the transverse region. The measurement of these observables in LHC data would reveal whether, e.g., the properties of ''low-UE'' events are compatible with equivalent measurements in e{sup +}e{sup -} collisions (jet universality), and whether the scaling behaviour towards ''high-UE'' events exhibits properties of non-trivial soft-QCD dynamics, such as colour reconnections or other collective phenomena. We illustrate at √(s) = 13 TeV that significant discriminatory power is obtained in comparisons between MC models with varying treatments of collective effects, including Pythia 8, epos, and Dipsy. (orig.)

Collective systems:physical and information exergies.

Energy Technology Data Exchange (ETDEWEB)

Robinett, Rush D. III (.; ); Wilson, David Gerald

2007-04-01

Collective systems are typically defined as a group of agents (physical and/or cyber) that work together to produce a collective behavior with a value greater than the sum of the individual parts. This amplification or synergy can be harnessed by solving an inverse problem via an information-flow/communications grid: given a desired macroscopic/collective behavior find the required microscopic/individual behavior of each agent and the required communications grid. The goal of this report is to describe the fundamental nature of the Hamiltonian function in the design of collective systems (solve the inverse problem) and the connections between and values of physical and information exergies intrinsic to collective systems. In particular, physical and information exergies are shown to be equivalent based on thermodynamics and Hamiltonian mechanics.

Topologically nontrivial black holes in Lovelock-Born-Infeld gravity

Science.gov (United States)

Farhangkhah, N.

2018-04-01

We present the black hole solutions possessing horizon with nonconstant-curvature and additional scalar restrictions on the base manifold in Lovelock gravity coupled to Born-Infeld (BI) nonlinear electrodynamics. The asymptotic and near origin behavior of the metric is presented and we analyze different behaviors of the singularity. We find that, in contrast to the case of black hole solutions of BI-Lovelock gravity with constant curvature horizon and Maxwell-Lovelock gravity with non constant horizon which have only timelike singularities, spacelike, and timelike singularities may exist for BI-Lovelock black holes with nonconstant curvature horizon. By calculating the thermodynamic quantities, we study the effects of nonlinear electrodynamics via the Born-Infeld action. Stability analysis shows that black holes with positive sectional curvature, κ , possess an intermediate unstable phase and large and small black holes are stable. We see that while Ricci flat Lovelock-Born-Infeld black holes having exotic horizons are stable in the presence of Maxwell field or either Born Infeld field with large born Infeld parameter β , unstable phase appears for smaller values of β , and therefore nonlinearity brings in the instability.

Active Self-Assembled Spinners: dynamic crystals, transport and induced surface flows

Science.gov (United States)

Snezhko, Alexey; Kokot, Gasper

Strongly interacting colloids driven out-of-equilibrium by an external periodic forcing often develop nontrivial collective dynamics. Active magnetic colloids proved to be excellent model experimental systems to explore emergent behavior and active (out-of-equilibrium) self-assembly phenomena. Ferromagnetic micro-particles, suspended at a liquid interface and energized by a rotational homogeneous alternating magnetic field applied along the supporting interface, spontaneously form ensembles of synchronized self-assembled spinners with well-defined characteristic length. The size and the torque of an individual self-assembled spinner are controlled by the frequency of the driving magnetic field. Experiments reveal a rich collective dynamics in large ensembles of synchronized magnetic spinners that spontaneously form dynamic spinner lattices at the interface in a certain range of the excitation parameters. Non-trivial dynamics inside of the formed spinner lattices is observed. Transport of passive cargo particles and structure of the underlying self-induced surface flows is analyzed. The research was supported by the U.S. DOE, Office of Basic Energy Sciences, Division of Materials Science and Engineering.

Fabrication and in situ compression testing of Mg micropillars with a nontrivial cross section: Influence of micropillar geometry on mechanical properties

Energy Technology Data Exchange (ETDEWEB)

Bočan, Jiří [Laboratory of Nanostructures and Nanomaterials, Institute of Physics, Czech Academy of Sciences, Na Slovance 1999/2, CZ-12821 Praha 8 (Czech Republic); Tsurekawa, Sadahiro [Division of Materials Science, Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Kumamoto 860-8555 (Japan); Jäger, Aleš, E-mail: aljag@seznam.cz [Laboratory of Nanostructures and Nanomaterials, Institute of Physics, Czech Academy of Sciences, Na Slovance 1999/2, CZ-12821 Praha 8 (Czech Republic)

2017-02-27

Micropillars with a nontrivial cross-sectional shape but constant cross-sectional area were fabricated from a pure magnesium single crystal with (0001) orientation by a focused gallium ion beam using a modified annular milling method. The basic mechanical properties (compressive modulus, strength at different plastic strain levels and hardening exponent) of those structures were determined under compression by means of in situ nanoindentation in scanning electron microscope and correlated by the micropillar cross-sectional circumference. It was observed that the modulus and strength increased with increasing circumference. The values of the modulus for the complex cross sectional shapes are on average higher by 5%, and the yield strength, ranging between 274 MPa and 342 MPa, is on average higher by 20% relative to micropillars with a simple circular or polygonal cross section. Surprisingly, the hardening exponent remains nearly constant regardless of the micropillar cross section.

75 FR 32161 - Agency Information Collection Activities; Proposed Collection; Comment Request; Consumer Focus...

Science.gov (United States)

2010-06-07

... staff relies on its expert judgment about consumer behavior, perceptions, and similar information... CONSUMER PRODUCT SAFETY COMMISSION [Docket No. CPSC-2010-0046] Agency Information Collection Activities; Proposed Collection; Comment Request; Consumer Focus Groups AGENCY: Consumer Product Safety...

Using the Theory of Planned Behavior to Identify Predictors of Oral Hygiene: A Collection of Unique Behaviors.

Science.gov (United States)

Brein, Daniel J; Fleenor, Thomas J; Kim, Soo-Woo; Krupat, Edward

2016-03-01

This study aims to identify predictors of performed oral hygiene behaviors (OHBs) based on the Theory of Planned Behavior (TPB), oral health knowledge, and demographic factors. Using a questionnaire, 381 participants in three general dental offices and one hospital dental department in York, Pennsylvania, were surveyed regarding performed OHB, attitudes, subjective norms, perceived behavioral control, oral health knowledge, income, age, and sex. Three unique elements of OHB were identified for analysis: brushing, interdental cleaning, and tongue cleaning. Regression analysis revealed that attitude was the strongest predictor of brushing behavior, followed by oral health knowledge, perceived behavior control, subjective norms, and income. Perceived behavior control was the strongest predictor of interdental cleaning, followed by increased age and attitude. Female sex was the strongest predictor of tongue cleaning, followed by subjective norms, decreased age, and perceived behavior control. Respectively, these three groups of predictive variables explained 22.5% of brushing behavior, 22.7% of interdental cleaning behavior, and 9.5% of tongue cleaning behavior. The present findings highlight the utility of viewing OHB as a set of unique behaviors with unique predictive variables and provide additional support for use of TPB in predicting OHB. Periodontal practitioners should consider the strong associations of attitude and perceived behavioral control with brushing and interdental cleaning behaviors when designing interventional efforts to improve patient home care.

Catalytic conversion reactions mediated by single-file diffusion in linear nanopores: hydrodynamic versus stochastic behavior.

Science.gov (United States)

Ackerman, David M; Wang, Jing; Wendel, Joseph H; Liu, Da-Jiang; Pruski, Marek; Evans, James W

2011-03-21

We analyze the spatiotemporal behavior of species concentrations in a diffusion-mediated conversion reaction which occurs at catalytic sites within linear pores of nanometer diameter. Diffusion within the pores is subject to a strict single-file (no passing) constraint. Both transient and steady-state behavior is precisely characterized by kinetic Monte Carlo simulations of a spatially discrete lattice-gas model for this reaction-diffusion process considering various distributions of catalytic sites. Exact hierarchical master equations can also be developed for this model. Their analysis, after application of mean-field type truncation approximations, produces discrete reaction-diffusion type equations (mf-RDE). For slowly varying concentrations, we further develop coarse-grained continuum hydrodynamic reaction-diffusion equations (h-RDE) incorporating a precise treatment of single-file diffusion in this multispecies system. The h-RDE successfully describe nontrivial aspects of transient behavior, in contrast to the mf-RDE, and also correctly capture unreactive steady-state behavior in the pore interior. However, steady-state reactivity, which is localized near the pore ends when those regions are catalytic, is controlled by fluctuations not incorporated into the hydrodynamic treatment. The mf-RDE partly capture these fluctuation effects, but cannot describe scaling behavior of the reactivity.

Revealed preference tests for collective household behavior

NARCIS (Netherlands)

Cherchye, L.J.H.; de Rock, B.; Vermeulen, F.M.P.; Verriest, E.; Molina, J.A.

2011-01-01

This chapter contains a state of the art of revealed preference tests for consistency of observed household behavior with Pareto efficiency. These tests are entirely nonparametric, since they do not require any assumptions regarding the parametric form of individual preferences or the intrahousehold

78 FR 44097 - Agency Information Collection Activities: Proposed Collection; Submission to OMB for Review and...

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2013-07-23

... purpose of collecting, validating and verifying information, processing and maintaining information, and... containing privacy information and will not ask questions of a sensitive nature, such as sexual behavior and... estimates: Current Actions: New collection of information. Type of Review: New collection. Affected Public...

78 FR 29731 - Agency Information Collection Activities; Proposed Collection; Comment Request; CPSC National...

Science.gov (United States)

2013-05-21

... communications efforts to achieve a greater impact on consumer behavior. The CPSC's activities aim to serve a... CONSUMER PRODUCT SAFETY COMMISSION [Docket No. CPSC-2013-0020] Agency Information Collection Activities; Proposed Collection; Comment Request; CPSC National Awareness Survey AGENCY: Consumer Product...

Phase behavior of charged colloids on spherical surfaces

Science.gov (United States)

Kelleher, Colm; Guerra, Rodrigo; Chaikin, Paul

For a broad class of 2D materials, the transition from isotropic fluid to crystalline solid is described by the theory of melting due to Kosterlitz, Thouless, Halperin, Nelson and Young. According to this theory, long-range order is achieved via elimination of the topological defects which proliferate in the fluid phase. However, many natural and man-made 2D systems posses spatial curvature and/or non-trivial topology, which require the presence of defects, even at T = 0 . In principle, the presence of these defects could profoundly affect the phase behavior of such a system. In this presentation, we describe experiments and simulations we have performed on repulsive particles which are bound to the surface of a sphere. We observe spatial structures and inhomogeneous dynamics that cannot be captured by the measures traditionally used to describe flat-space phase behavior. We show that ordering is achieved by a novel mechanism: sequestration of topological defects into freely-terminating grain boundaries (``scars''), and simultaneous spatial organization of the scars themselves on the vertices of an icosahedron. The emergence of icosahedral order coincides with the localization of mobility into isolated ``lakes'' of fluid or glassy particles, situated at the icosahedron vertices.

The simplest maximum entropy model for collective behavior in a neural network

International Nuclear Information System (INIS)

Tkačik, Gašper; Marre, Olivier; Mora, Thierry; Amodei, Dario; Bialek, William; Berry II, Michael J

2013-01-01

Recent work emphasizes that the maximum entropy principle provides a bridge between statistical mechanics models for collective behavior in neural networks and experiments on networks of real neurons. Most of this work has focused on capturing the measured correlations among pairs of neurons. Here we suggest an alternative, constructing models that are consistent with the distribution of global network activity, i.e. the probability that K out of N cells in the network generate action potentials in the same small time bin. The inverse problem that we need to solve in constructing the model is analytically tractable, and provides a natural ‘thermodynamics’ for the network in the limit of large N. We analyze the responses of neurons in a small patch of the retina to naturalistic stimuli, and find that the implied thermodynamics is very close to an unusual critical point, in which the entropy (in proper units) is exactly equal to the energy. (paper)

Chaotic behavior, collective modes, and self-trapping in the dynamics of three coupled Bose-Einstein condensates

International Nuclear Information System (INIS)

Franzosi, Roberto; Penna, Vittorio

2003-01-01

The dynamics of the three coupled bosonic wells (trimer) containing N bosons is investigated within a standard (mean-field) semiclassical picture based on the coherent-state method. Various periodic solutions (configured as π-like, dimerlike, and vortex states) representing collective modes are obtained analytically when the fixed points of trimer dynamics are identified on the N=const submanifold in the phase space. Hyperbolic, maximum and minimum points are recognized in the fixed-point set by studying the Hessian signature of the trimer Hamiltonian. The system dynamics in the neighborhood of periodic orbits (associated with fixed points) is studied via numeric integration of trimer motion equations, thus revealing a diffused chaotic behavior (not excluding the presence of regular orbits), macroscopic effects of population inversion, and self-trapping. In particular, the behavior of orbits with initial conditions close to the dimerlike periodic orbits shows how the self-trapping effect of dimerlike integrable subregimes is destroyed by the presence of chaos

Boundary-layer theory, strong-coupling series, and large-order behavior

International Nuclear Information System (INIS)

Bender, Carl M.; Pelster, Axel; Weissbach, Florian

2002-01-01

The introduction of a lattice converts a singular boundary-layer problem in the continuum into a regular perturbation problem. However, the continuum limit of the discrete problem is extremely nontrivial and is not completely understood. This article examines two singular boundary-layer problems taken from mathematical physics, the instanton problem and the Blasius equation, and in each case examines two strategies, Pade resummation and variational perturbation theory, to recover the solution to the continuum problem from the solution to the associated discrete problem. Both resummation procedures produce good and interesting results for the two cases, but the results still deviate from the exact solutions. To understand the discrepancy a comprehensive large-order behavior analysis of the strong-coupling lattice expansions for each of the two problems is done

75 FR 54143 - Agency Information Collection Activities; Proposed Collection; Comment Request; The SunWise...

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2010-09-03

... information collection activity or ICR does this apply to? Affected entities: Entities potentially affected by... behaviors, and will help guide the program's further improvement. Additionally, information is collected... information, processing and maintaining information, and disclosing and providing information; adjust the...

Evaluation of tritium release behavior from Li{sub 2}TiO{sub 3} during DT neutron irradiation by use of an improved tritium collection method

Energy Technology Data Exchange (ETDEWEB)

Edao, Yuki, E-mail: edao.yuki@jaea.go.jp [Tritium Technology Group, Department of Blanket Systems Research, Rokkasho Fusion Institute, Sector of Fusion Research and Development, Japan Atomic Energy Agency, 2-4 Shirane Shirakata, Tokai-mura, Naka-gun, Ibaraki 319-1195 (Japan); Kawamura, Yoshinori [Blanket Technology Group, Department of Blanket Systems Research, Rokkasho Fusion Institute, Sector of Fusion Research and Development, Japan Atomic Energy Agency, 801-1 Mukoyama, Naka, Ibaraki 311-0193 (Japan); Hoshino, Tsuyoshi [Breeding Functional Materials Development Group, Department of Blanket Systems Research, Rokkasho Fusion Institute, Sector of Fusion Research and Development, Japan Atomic Energy Agency, 2-166 Omotedate Obuchi, Rokkasho, Aomori 039-3212 (Japan); Ochiai, Kentaro [BA Project Coordination Group, Department of Fusion Power Systems Research, Rokkasho Fusion Institute, Sector of Fusion Research and Development, Japan Atomic Energy Agency, 2-166 Omotedate Obuchi, Rokkasho, Aomori 039-3212 (Japan)

2016-11-15

Highlights: • Behavior of tritium released from Li{sub 2}TiO{sub 3} under neutron irradiation was measured. • Tritium collection method with hydrophobic catalyst was demonstrated successfully. • Temperature of Li{sub 2}TiO{sub 3} was dominant to control the chemical form of tritium release. - Abstract: The accurate measurement of behavior of bred tritium released from a tritium breeder is indispensable to understand the behavior for a design of a tritium extraction system. The tritium collection method combined a CuO bed and water bubbles was not suitable to measure transient behavior of tritium released from Li{sub 2}TiO{sub 3} during neutron irradiation because tritium released behavior was changed to be delayed due to adsorption of oxidized tritium on the CuO. Hence, the tritium collection method with hydrophobic catalyst instead of the CuO was demonstrated and succeeded the accurate release measurement of tritium from Li{sub 2}TiO{sub 3}. With the method, we assessed the behavior of tritium release under the various conditions since tritium should be released from Li{sub 2}TiO{sub 3} as the form of HT as much as possible from the view point of the fuel cycle. Our results indicated; promotion of isotopic exchange reaction on the surface of Li{sub 2}TiO{sub 3} by addition of hydrogen in sweep gas is mandatory in order to release tritium smoothly from Li{sub 2}TiO{sub 3} irradiated with neutrons; the favorable sweep gas to release as the form of HT was hydrogen added inert gas; and the temperature of Li{sub 2}TiO{sub 3} was the dominant parameter to control the chemical form of tritium released from the Li{sub 2}TiO{sub 3}.

Clustering User Behavior in Scientific Collections

OpenAIRE

Blixhavn, Øystein Hoel

2014-01-01

This master thesis looks at how clustering techniques can be appliedto a collection of scientific documents. Approximately one year of serverlogs from the CERN Document Server (CDS) are analyzed and preprocessed.Based on the findings of this analysis, and a review of thecurrent state of the art, three different clustering methods are selectedfor further work: Simple k-Means, Hierarchical Agglomerative Clustering(HAC) and Graph Partitioning. In addition, a custom, agglomerativeclustering algor...

Oblate collectivity in 197,198Pb

International Nuclear Information System (INIS)

Kuhnert, A.; Wang, T.F.; Stoyer, M.A.; Becker, J.A.; Henry, E.A.; Brinkman, M.J.; Yates, S.W.; Draper, J.E.; Deleplanque, M.A.; Diamond, R.M.; Stephens, F.S.; Machiavelli, A.O.; Kelly, W.H.; Korten, W.; Azaiez, F.; Cizewski, J.A.

1993-01-01

Evidence for collective behavior in the high-spin region of neutron deficient lead nuclei is provided by the observation of four collective structures in 197,198 Pb. These bands consist of strong dipole (M1) transitions with a few E2 crossover transitions observed. The transition energies of three of these bands show a rather regular behavior while those of one of them show an irregular behavior. We interpret the regular bands as oblate collective bands built on oblate proton and neutron states, whereas the irregular band might either be built on a state with very small oblate deformation, or be a triaxial rotational band. A lifetime measurement (DSAM) has been done for the regular bands in 198 Pb. Neutron and proton configurations for the bands are suggested from the results of quasi particle Routhians and total Routhian surface (TRS) calculations. (orig.)

Oblate collectivity in 197,198Pb

International Nuclear Information System (INIS)

Kuhnert, A.; Wang, T.F.; Stoyer, M.A.; Becker, J.A.; Henry, E.A.; Brinkman, M.J.; Yates, S.W.; Draper, J.E.; Deleplanque, M.A.; Diamond, R.M.; Stephens, F.S.; Machiavelli, A.O.; Kelly, W.H.; Korten, W.; Azaiez, F.

1992-07-01

Evidence for collective behavior in the high-spin region of neutron deficient lead nuclei is provided by the observation of four collective structures in 197,198 Pb. These bands consist of strong dipole (M1) transitions with a few E2 crossover transitions observed. The transition energies of three of these bands show a rather regular behavior while those of one of them show an irregular behavior. We interpret the regular bands as oblate collective bands built on oblate proton and neutron states, whereas the irregular band might either be built on a state with very small oblate deformation, or be a triaxial rotational band. A lifetime measurement (DSAM) has been done for the regular bands in 198 Pb. Neutron and proton configurations for the bands are suggested from the results of quasi particle Routhians and total Routhian surface (TRS) calculations

Dirac Cones, Topological Edge States, and Nontrivial Flat Bands in Two-Dimensional Semiconductors with a Honeycomb Nanogeometry

Directory of Open Access Journals (Sweden)

E. Kalesaki

2014-01-01

Full Text Available We study theoretically two-dimensional single-crystalline sheets of semiconductors that form a honeycomb lattice with a period below 10 nm. These systems could combine the usual semiconductor properties with Dirac bands. Using atomistic tight-binding calculations, we show that both the atomic lattice and the overall geometry influence the band structure, revealing materials with unusual electronic properties. In rocksalt Pb chalcogenides, the expected Dirac-type features are clouded by a complex band structure. However, in the case of zinc-blende Cd-chalcogenide semiconductors, the honeycomb nanogeometry leads to rich band structures, including, in the conduction band, Dirac cones at two distinct energies and nontrivial flat bands and, in the valence band, topological edge states. These edge states are present in several electronic gaps opened in the valence band by the spin-orbit coupling and the quantum confinement in the honeycomb geometry. The lowest Dirac conduction band has S-orbital character and is equivalent to the π-π^{⋆} band of graphene but with renormalized couplings. The conduction bands higher in energy have no counterpart in graphene; they combine a Dirac cone and flat bands because of their P-orbital character. We show that the width of the Dirac bands varies between tens and hundreds of meV. These systems emerge as remarkable platforms for studying complex electronic phases starting from conventional semiconductors. Recent advancements in colloidal chemistry indicate that these materials can be synthesized from semiconductor nanocrystals.

Tree resin composition, collection behavior and selective filters shape chemical profiles of tropical bees (Apidae: Meliponini.

Directory of Open Access Journals (Sweden)

Sara D Leonhardt

Full Text Available The diversity of species is striking, but can be far exceeded by the chemical diversity of compounds collected, produced or used by them. Here, we relate the specificity of plant-consumer interactions to chemical diversity applying a comparative network analysis to both levels. Chemical diversity was explored for interactions between tropical stingless bees and plant resins, which bees collect for nest construction and to deter predators and microbes. Resins also function as an environmental source for terpenes that serve as appeasement allomones and protection against predators when accumulated on the bees' body surfaces. To unravel the origin of the bees' complex chemical profiles, we investigated resin collection and the processing of resin-derived terpenes. We therefore analyzed chemical networks of tree resins, foraging networks of resin collecting bees, and their acquired chemical networks. We revealed that 113 terpenes in nests of six bee species and 83 on their body surfaces comprised a subset of the 1,117 compounds found in resins from seven tree species. Sesquiterpenes were the most variable class of terpenes. Albeit widely present in tree resins, they were only found on the body surface of some species, but entirely lacking in others. Moreover, whereas the nest profile of Tetragonula melanocephala contained sesquiterpenes, its surface profile did not. Stingless bees showed a generalized collecting behavior among resin sources, and only a hitherto undescribed species-specific "filtering" of resin-derived terpenes can explain the variation in chemical profiles of nests and body surfaces from different species. The tight relationship between bees and tree resins of a large variety of species elucidates why the bees' surfaces contain a much higher chemodiversity than other hymenopterans.

Fire Behavior (FB)

Science.gov (United States)

Robert E. Keane

2006-01-01

The Fire Behavior (FB) method is used to describe the behavior of the fire and the ambient weather and fuel conditions that influence the fire behavior. Fire behavior methods are not plot based and are collected by fire event and time-date. In general, the fire behavior data are used to interpret the fire effects documented in the plot-level sampling. Unlike the other...

From kinetic to collective behavior in thermal transport on semiconductors and semiconductor nanostructures

Science.gov (United States)

de Tomas, C.; Cantarero, A.; Lopeandia, A. F.; Alvarez, F. X.

2014-04-01

We present a model which deepens into the role that normal scattering has on the thermal conductivity in semiconductor bulk, micro, and nanoscale samples. Thermal conductivity as a function of the temperature undergoes a smooth transition from a kinetic to a collective regime that depends on the importance of normal scattering events. We demonstrate that in this transition, the key point to fit experimental data is changing the way to perform the average on the scattering rates. We apply the model to bulk Si with different isotopic compositions obtaining an accurate fit. Then we calculate the thermal conductivity of Si thin films and nanowires by only introducing the effective size as additional parameter. The model provides a better prediction of the thermal conductivity behavior valid for all temperatures and sizes above 30 nm with a single expression. Avoiding the introduction of confinement or quantum effects, the model permits to establish the limit of classical theories in the study of the thermal conductivity in nanoscopic systems.

From kinetic to collective behavior in thermal transport on semiconductors and semiconductor nanostructures

International Nuclear Information System (INIS)

Tomas, C. de; Lopeandia, A. F.; Alvarez, F. X.; Cantarero, A.

2014-01-01

We present a model which deepens into the role that normal scattering has on the thermal conductivity in semiconductor bulk, micro, and nanoscale samples. Thermal conductivity as a function of the temperature undergoes a smooth transition from a kinetic to a collective regime that depends on the importance of normal scattering events. We demonstrate that in this transition, the key point to fit experimental data is changing the way to perform the average on the scattering rates. We apply the model to bulk Si with different isotopic compositions obtaining an accurate fit. Then we calculate the thermal conductivity of Si thin films and nanowires by only introducing the effective size as additional parameter. The model provides a better prediction of the thermal conductivity behavior valid for all temperatures and sizes above 30 nm with a single expression. Avoiding the introduction of confinement or quantum effects, the model permits to establish the limit of classical theories in the study of the thermal conductivity in nanoscopic systems

From kinetic to collective behavior in thermal transport on semiconductors and semiconductor nanostructures

Energy Technology Data Exchange (ETDEWEB)

Tomas, C. de; Lopeandia, A. F.; Alvarez, F. X., E-mail: xavier.alvarez@uab.cat [Department of Physics, Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia (Spain); Cantarero, A. [Materials Science Institute, University of Valencia, P. O. Box 22085, 46071 Valencia (Spain)

2014-04-28

We present a model which deepens into the role that normal scattering has on the thermal conductivity in semiconductor bulk, micro, and nanoscale samples. Thermal conductivity as a function of the temperature undergoes a smooth transition from a kinetic to a collective regime that depends on the importance of normal scattering events. We demonstrate that in this transition, the key point to fit experimental data is changing the way to perform the average on the scattering rates. We apply the model to bulk Si with different isotopic compositions obtaining an accurate fit. Then we calculate the thermal conductivity of Si thin films and nanowires by only introducing the effective size as additional parameter. The model provides a better prediction of the thermal conductivity behavior valid for all temperatures and sizes above 30 nm with a single expression. Avoiding the introduction of confinement or quantum effects, the model permits to establish the limit of classical theories in the study of the thermal conductivity in nanoscopic systems.

The simplest problem in the collective dynamics of neural networks: is synchrony stable?

International Nuclear Information System (INIS)

Timme, Marc; Wolf, Fred

2008-01-01

For spiking neural networks we consider the stability problem of global synchrony, arguably the simplest non-trivial collective dynamics in such networks. We find that even this simplest dynamical problem—local stability of synchrony—is non-trivial to solve and requires novel methods for its solution. In particular, the discrete mode of pulsed communication together with the complicated connectivity of neural interaction networks requires a non-standard approach. The dynamics in the vicinity of the synchronous state is determined by a multitude of linear operators, in contrast to a single stability matrix in conventional linear stability theory. This unusual property qualitatively depends on network topology and may be neglected for globally coupled homogeneous networks. For generic networks, however, the number of operators increases exponentially with the size of the network. We present methods to treat this multi-operator problem exactly. First, based on the Gershgorin and Perron–Frobenius theorems, we derive bounds on the eigenvalues that provide important information about the synchronization process but are not sufficient to establish the asymptotic stability or instability of the synchronous state. We then present a complete analysis of asymptotic stability for topologically strongly connected networks using simple graph-theoretical considerations. For inhibitory interactions between dissipative (leaky) oscillatory neurons the synchronous state is stable, independent of the parameters and the network connectivity. These results indicate that pulse-like interactions play a profound role in network dynamical systems, and in particular in the dynamics of biological synchronization, unless the coupling is homogeneous and all-to-all. The concepts introduced here are expected to also facilitate the exact analysis of more complicated dynamical network states, for instance the irregular balanced activity in cortical neural networks

Collective and planetary motion in atoms

International Nuclear Information System (INIS)

Berry, R.S.

1986-01-01

The evolution of the conception of electron correlation is sketched, particularly the ideas that emerged in the late 1970s. Those ideas have led to a deep reexamination of the behavior of electrons sharing a valence shell. Doubly-excited helium was the first case in which it could be clearly established that the electronic states exhibit collective rotations and vibrations, rather than predominantly independent-particle-like behavior. More recently, it has appeared that the ground states and most but not all of the low-lying excited states of the alkaline-earth atoms are also much more like collective rotor-vibrators than like quantum analogues of solar systems. The appearance of such molecule-like characteristics for the electrons in atoms leads to a search for independent-particle-like behavior for atoms in highly excited vibrational states of small molecules such as H 2 O, NH 3 and CH 4 . Together, the two kinds of systems potentially exhibiting characteristics traditionally associated with the other suggest trying to find a more unified formulation of few-body problems that makes collective and independent-particle behavior into related but complementary manifestations of some more general characterization of the states of few-body systems. (Auth.)

The role of attitudinal motivations and collective efficacy on Chinese consumers' intentions to engage in personal behaviors to mitigate climate change.

Science.gov (United States)

Wang, Xiao

2018-01-01

The Chinese government has recently pledged to reduce its CO 2 emissions by 2030. Industrial use of energy, however, is just one source of greenhouse gas emissions. Chinese consumers' more affluent lifestyles also lead to increased consumption of energy, which can result in greenhouse gas emissions. Based on a survey of 516 Chinese consumers, the present investigation examined whether their attitudinal motivations and collective efficacy are related to their intentions to engage in personal actions that may help reduce greenhouse gas emissions. Results show that the utilitarian motivation related to the effectiveness of personal actions to alleviate climate change, motivation to express their moral values, self-esteem maintenance motivation, and collective efficacy predicted their attitudes toward these personal actions. Collective efficacy was in turn predicted by future orientation, norms, and the utilitarian motivation. Finally, attitudes and collective efficacy were two major considerations that predicted behavioral intentions. Implications for programs to promote low-carbon actions and lifestyles among Chinese consumers are discussed.

75 FR 69671 - Agency Information Collection Activities: Proposed Collection; Comment Request

Science.gov (United States)

2010-11-15

... behavior. All 147 networked crisis centers will complete the Web-based Crisis Center Survey annually. The Survey requests information about organizational structure, staffing, scope of services, call center operations, quality assurance, community outreach/marketing, telephone equipment, data collection, and...

Yukawa multipole electrostatics and nontrivial coupling between electrostatic and dispersion interactions in electrolytes

International Nuclear Information System (INIS)

Kjellander, Roland; Ramirez, Rosa

2008-01-01

An exact treatment of screened electrostatics in electrolyte solutions is presented. In electrolytes the anisotropy of the exponentially decaying electrostatic potential from a molecule extends to the far field region. The full directional dependence of the electrostatic potential from a charged or uncharged molecule remains in the longest range tail (i.e. from all multipole moments). In particular, the range of the potential from an ion and that from an electroneutral polar particle is generally exactly the same. This is in contrast to the case in vacuum or pure polar liquids, where the potential from a single charge is longer ranged than that from a dipole, which is, itself, longer ranged than the one from a quadrupole etc. The orientational dependence of the exponentially screened electrostatic interaction between two molecules in electrolytes is therefore rather complex even at long distances. These facts are formalized in Yukawa multipole expansions of the electrostatic potential and the pair interaction free energy based on the Yukawa function family exp(-κr)/r m , where r is the distance, κ is a decay parameter and m is a positive integer. The expansion is formally exact for electrolytes with molecular solvent and in the primitive model, provided the non-Coulombic interactions between the particles are sufficiently short ranged. The results can also be applied in the Poisson-Boltzmann approximation. Differences and similarities to the ordinary multipole expansion of electrostatics are pointed out. On the other hand, when the non-Coulombic interactions between the constituent particles of the electrolyte solution contain a dispersion 1/r 6 potential, the electrostatic potential from a molecule decays like a power law for long distances rather than as a Yukawa function. This is due to nontrivial coupling between the electrostatic and dispersion interactions. There remains an exponentially decaying component in the electrostatic potential, but it becomes

A Survey of Collectives

Science.gov (United States)

Tumer, Kagan; Wolpert, David

2004-01-01

Due to the increasing sophistication and miniaturization of computational components, complex, distributed systems of interacting agents are becoming ubiquitous. Such systems, where each agent aims to optimize its own performance, but where there is a well-defined set of system-level performance criteria, are called collectives. The fundamental problem in analyzing/designing such systems is in determining how the combined actions of self-interested agents leads to 'coordinated' behavior on a iarge scale. Examples of artificial systems which exhibit such behavior include packet routing across a data network, control of an array of communication satellites, coordination of multiple deployables, and dynamic job scheduling across a distributed computer grid. Examples of natural systems include ecosystems, economies, and the organelles within a living cell. No current scientific discipline provides a thorough understanding of the relation between the structure of collectives and how well they meet their overall performance criteria. Although still very young, research on collectives has resulted in successes both in understanding and designing such systems. It is eqected that as it matures and draws upon other disciplines related to collectives, this field will greatly expand the range of computationally addressable tasks. Moreover, in addition to drawing on them, such a fully developed field of collective intelligence may provide insight into already established scientific fields, such as mechanism design, economics, game theory, and population biology. This chapter provides a survey to the emerging science of collectives.

Universal behavior of charged particle production in heavy ion collisions

Science.gov (United States)

Phobos Collaboration; Steinberg, Peter A.; Back, B. B.; Baker, M. D.; Barton, D. S.; Betts, R. R.; Ballintijn, M.; Bickley, A. A.; Bindel, R.; Budzanowski, A.; Busza, W.; Carroll, A.; Decowski, M. P.; Garcia, E.; George, N.; Gulbrandsen, K.; Gushue, S.; Halliwell, C.; Hamblen, J.; Heintzelman, G. A.; Henderson, C.; Hofman, D. J.; Hollis, R. S.; Hołński, R.; Holzman, B.; Iordanova, A.; Johnson, E.; Kane, J. L.; Katzy, J.; Khan, N.; Kucewicz, W.; Kulinich, P.; Kuo, C. M.; Lin, W. T.; Manly, S.; McLeod, D.; Michałowski, J.; Mignerey, A. C.; Nouicer, R.; Olszewski, A.; Pak, R.; Park, I. C.; Pernegger, H.; Reed, C.; Remsberg, L. P.; Reuter, M.; Roland, C.; Roland, G.; Rosenberg, L.; Sagerer, J.; Sarin, P.; Sawicki, P.; Skulski, W.; Steadman, S. G.; Steinberg, P.; Stephans, G. S. F.; Stodulski, M.; Sukhanov, A.; Tang, J.-L.; Teng, R.; Trzupek, A.; Vale, C.; van Nieuwenhuizen, G. J.; Verdier, R.; Wadsworth, B.; Wolfs, F. L. H.; Wosiek, B.; Woźniak, K.; Wuosmaa, A. H.; Wysłouch, B.

2003-03-01

The PHOBOS experiment at RHIC has measured the multiplicity of primary charged particles as a function of centrality and pseudorapidity in Au+Au collisions at sqrt(s_NN) = 19.6, 130 and 200 GeV. Two kinds of universal behavior are observed in charged particle production in heavy ion collisions. The first is that forward particle production, over a range of energies, follows a universal limiting curve with a non-trivial centrality dependence. The second arises from comparisons with pp/pbar-p and e+e- data. N_tot/(N_part/2) in nuclear collisions at high energy scales with sqrt(s) in a similar way as N_tot in e+e- collisions and has a very weak centrality dependence. This feature may be related to a reduction in the leading particle effect due to the multiple collisions suffered per participant in heavy ion collisions.

Quantifying collective attention from tweet stream.

Directory of Open Access Journals (Sweden)

Kazutoshi Sasahara

Full Text Available Online social media are increasingly facilitating our social interactions, thereby making available a massive "digital fossil" of human behavior. Discovering and quantifying distinct patterns using these data is important for studying social behavior, although the rapid time-variant nature and large volumes of these data make this task difficult and challenging. In this study, we focused on the emergence of "collective attention" on Twitter, a popular social networking service. We propose a simple method for detecting and measuring the collective attention evoked by various types of events. This method exploits the fact that tweeting activity exhibits a burst-like increase and an irregular oscillation when a particular real-world event occurs; otherwise, it follows regular circadian rhythms. The difference between regular and irregular states in the tweet stream was measured using the Jensen-Shannon divergence, which corresponds to the intensity of collective attention. We then associated irregular incidents with their corresponding events that attracted the attention and elicited responses from large numbers of people, based on the popularity and the enhancement of key terms in posted messages or "tweets." Next, we demonstrate the effectiveness of this method using a large dataset that contained approximately 490 million Japanese tweets by over 400,000 users, in which we identified 60 cases of collective attentions, including one related to the Tohoku-oki earthquake. "Retweet" networks were also investigated to understand collective attention in terms of social interactions. This simple method provides a retrospective summary of collective attention, thereby contributing to the fundamental understanding of social behavior in the digital era.

Trust-based collective view prediction

CERN Document Server

Luo, Tiejian; Xu, Guandong; Zhou, Jia

2013-01-01

Collective view prediction is to judge the opinions of an active web user based on unknown elements by referring to the collective mind of the whole community. Content-based recommendation and collaborative filtering are two mainstream collective view prediction techniques. They generate predictions by analyzing the text features of the target object or the similarity of users' past behaviors. Still, these techniques are vulnerable to the artificially-injected noise data, because they are not able to judge the reliability and credibility of the information sources. Trust-based Collective View

Finite-size and asymptotic behaviors of the gyration radius of knotted cylindrical self-avoiding polygons.

Science.gov (United States)

Shimamura, Miyuki K; Deguchi, Tetsuo

2002-05-01

Several nontrivial properties are shown for the mean-square radius of gyration R2(K) of ring polymers with a fixed knot type K. Through computer simulation, we discuss both finite size and asymptotic behaviors of the gyration radius under the topological constraint for self-avoiding polygons consisting of N cylindrical segments with radius r. We find that the average size of ring polymers with the knot K can be much larger than that of no topological constraint. The effective expansion due to the topological constraint depends strongly on the parameter r that is related to the excluded volume. The topological expansion is particularly significant for the small r case, where the simulation result is associated with that of random polygons with the knot K.

Study of the critical behavior of the O(N) linear and nonlinear sigma models

International Nuclear Information System (INIS)

Graziani, F.R.

1983-01-01

A study of the large N behavior of both the O(N) linear and nonlinear sigma models is presented. The purpose is to investigate the relationship between the disordered (ordered) phase of the linear and nonlinear sigma models. Utilizing operator product expansions and stability analyses, it is shown that for 2 - (lambda/sub R/(M) is the dimensionless renormalized quartic coupling and lambda* is the IR fixed point) limit of the linear sigma model which yields the nonlinear sigma model. It is also shown that stable large N linear sigma models with lambda 0) and nonlinear models are trivial. This result (i.e., triviality) is well known but only for one and two component models. Interestingly enough, the lambda< d = 4 linear sigma model remains nontrivial and tachyonic free

Non-equilibrium magnetic colloidal dispersions at liquid-air interfaces: dynamic patterns, magnetic order and self-assembled swimmers

International Nuclear Information System (INIS)

Snezhko, Alexey

2011-01-01

Colloidal dispersions of interacting particles subjected to an external periodic forcing often develop nontrivial self-assembled patterns and complex collective behavior. A fundamental issue is how collective ordering in such non-equilibrium systems arises from the dynamics of discrete interacting components. In addition, from a practical viewpoint, by working in regimes far from equilibrium new self-organized structures which are generally not available through equilibrium thermodynamics can be created. In this review spontaneous self-assembly phenomena in magnetic colloidal dispersions suspended at liquid-air interfaces and driven out of equilibrium by an alternating magnetic field are presented. Experiments reveal a new type of nontrivially ordered self-assembled structures emerging in such systems in a certain range of excitation parameters. These dynamic structures emerge as a result of the competition between magnetic and hydrodynamic forces and have complex unconventional magnetic ordering. Nontrivial self-induced hydrodynamic fields accompany each out-of-equilibrium pattern. Spontaneous symmetry breaking of the self-induced surface flows leading to a formation of self-propelled microstructures has been discovered. Some features of the self-localized structures can be understood in the framework of the amplitude equation (Ginzburg-Landau type equation) for parametric waves coupled to the conservation law equation describing the evolution of the magnetic particle density and the Navier-Stokes equation for hydrodynamic flows. To understand the fundamental microscopic mechanisms governing self-assembly processes in magnetic colloidal dispersions at liquid-air interfaces a first-principle model for a non-equilibrium self-assembly is presented. The latter model allows us to capture in detail the entire process of out-of-equilibrium self-assembly in the system and reproduces most of the observed phenomenology. (topical review)

78 FR 1214 - Agency Information Collection Activities: Proposed Collection: Comment Request

Science.gov (United States)

2013-01-08

... OMB approval of the information collections contained in regulations found at 45 CFR Part 60 governing... the HIPDB was delegated by the HHS Office of the Inspector General to HRSA. This rule [[Page 1215..., to identify and discipline those who engage in unprofessional behavior; and to restrict the ability...

Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century.

Science.gov (United States)

Sadasivam, Rajani Shankar; Cutrona, Sarah L; Kinney, Rebecca L; Marlin, Benjamin M; Mazor, Kathleen M; Lemon, Stephenie C; Houston, Thomas K

2016-03-07

What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC. The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion. We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results. We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems. We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems.

An Empirical Analysis on Individuals’ DepositWithdrawal Behaviors Using Data Collected through a Web-Based Survey

Directory of Open Access Journals (Sweden)

Toshihiko TAKEMURA

2009-11-01

Full Text Available The purpose of this paper is to investigate relationships between individual depositor behaviors, as to whether they will withdraw all of their deposits, and factors behind them such as the degree of trust in information sources, frequency of communication, individuals' transaction with banks, and individuals’ attributes. By doing so, we suggest possible countermeasures whereby depositors will not excessively withdraw their deposits after receiving uncertain information on the financial environment. In this paper, we analyze the relationships by using data collected through a Web-based survey. The results were as follows: First, individuals who trust in information sources such as weekly/monthly magazines, the Internet, and conversations with people at workplace would be more likely to withdraw their deposits. Second, increases in phone calls with friends and in communication frequency at neighborhood and workplaces also make depositors to withdraw funds. Third, their tendency to withdraw deposits is affected by the individuals’ attributes such as gender and education. As the recognition of the deposit insurance scheme among people seems to affect their behavior according to our analysis, we suggest that it is better that authorities advertise the function of deposit insurance schemes to prevent depositors from getting into a panic situation like bank run.

Creating an iPhone Application for Collecting Continuous ABC Data

Science.gov (United States)

Whiting, Seth W.; Dixon, Mark R.

2012-01-01

This paper provides an overview and task analysis for creating a continuous ABC data- collection application using Xcode on a Mac computer. Behavior analysts can program an ABC data collection system, complete with a customized list of target clients, antecedents, behaviors, and consequences to be recorded, and have the data automatically sent to…

Boundaries Control Collective Dynamics of Inertial Self-Propelled Robots

Science.gov (United States)

Deblais, A.; Barois, T.; Guerin, T.; Delville, P. H.; Vaudaine, R.; Lintuvuori, J. S.; Boudet, J. F.; Baret, J. C.; Kellay, H.

2018-05-01

Simple ingredients, such as well-defined interactions and couplings for the velocity and orientation of self-propelled objects, are sufficient to produce complex collective behavior in assemblies of such entities. Here, we use assemblies of rodlike robots made motile through self-vibration. When confined in circular arenas, dilute assemblies of these rods act as a gas. Increasing the surface fraction leads to a collective behavior near the boundaries: polar clusters emerge while, in the bulk, gaslike behavior is retained. The coexistence between a gas and surface clusters is a direct consequence of inertial effects as shown by our simulations. A theoretical model, based on surface mediated transport accounts for this coexistence and illustrates the exact role of the boundaries. Our study paves the way towards the control of collective behavior: By using deformable but free to move arenas, we demonstrate that the surface induced clusters can lead to directed motion, while the topology of the surface states can be controlled by biasing the motility of the particles.

Collective effect of personal behavior induced preventive measures and differential rate of transmission on spread of epidemics

Science.gov (United States)

Sagar, Vikram; Zhao, Yi

2017-02-01

In the present work, the effect of personal behavior induced preventive measures is studied on the spread of epidemics over scale free networks that are characterized by the differential rate of disease transmission. The role of personal behavior induced preventive measures is parameterized in terms of variable λ, which modulates the number of concurrent contacts a node makes with the fraction of its neighboring nodes. The dynamics of the disease is described by a non-linear Susceptible Infected Susceptible model based upon the discrete time Markov Chain method. The network mean field approach is generalized to account for the effect of non-linear coupling between the aforementioned factors on the collective dynamics of nodes. The upper bound estimates of the disease outbreak threshold obtained from the mean field theory are found to be in good agreement with the corresponding non-linear stochastic model. From the results of parametric study, it is shown that the epidemic size has inverse dependence on the preventive measures (λ). It has also been shown that the increase in the average degree of the nodes lowers the time of spread and enhances the size of epidemics.

Collective and non-collective structures in nuclei of mass region A ≈ 125

International Nuclear Information System (INIS)

Singh, A. K.

2014-01-01

Generation of angular momentum in nuclei is a key question in nuclear structure studies. In single particle model, it is due to alignment of spin of individual nucleon available in the valence space, whereas coherent motion of nucleons are assumed in the collective model. The nuclei near the closed shell at Z = 50 with mass number A ≈ 120-125 represent ideal cases to explore the interplay between these competing mechanisms and the transition from non-collective to collective behavior or vice versa. Recent spectroscopic studies of nuclei in this region reveal several non-collective maximally aligned states representing the first kind of excitation mechanism, where 8-12 particles above the 114 Sn align their spins to generate these states. Deformed rotational bands feeding the non-collective states in the spin range I=20-25 and excitation energies around 10 MeV have also been observed. Structure of the collective and non-collective states are discussed in the framework of Cranked-Nilsson-Strutinsky model

Modeling and simulation of blood collection systems.

Science.gov (United States)

Alfonso, Edgar; Xie, Xiaolan; Augusto, Vincent; Garraud, Olivier

2012-03-01

This paper addresses the modeling and simulation of blood collection systems in France for both fixed site and mobile blood collection with walk in whole blood donors and scheduled plasma and platelet donors. Petri net models are first proposed to precisely describe different blood collection processes, donor behaviors, their material/human resource requirements and relevant regulations. Petri net models are then enriched with quantitative modeling of donor arrivals, donor behaviors, activity times and resource capacity. Relevant performance indicators are defined. The resulting simulation models can be straightforwardly implemented with any simulation language. Numerical experiments are performed to show how the simulation models can be used to select, for different walk in donor arrival patterns, appropriate human resource planning and donor appointment strategies.

Universal behavior of charged particle production in heavy ion collisions at RHIC energies

Science.gov (United States)

Steinberg, Peter A.; Back, B. B.; Baker, M. D.; Barton, D. S.; Betts, R. R.; Ballintijn, M.; Bickley, A. A.; Bindel, R.; Budzanowski, A.; Busza, W.; Carroll, A.; Decowski, M. P.; García, E.; George, N.; Gulbrandsen, K.; Gushue, S.; Halliwell, C.; Hamblen, J.; Heintzelman, G. A.; Henderson, C.; Hofman, D. J.; Hollis, R. S.; Holyński, R.; Holzman, B.; Iordanova, A.; Johnson, E.; Kane, J. L.; Katzy, J.; Khan, N.; Kucewicz, W.; Kulinich, P.; Kuo, C. M.; Lin, W. T.; Manly, S.; McLeod, D.; Michałowski, J.; Mignerey, A. C.; Nouicer, R.; Olszewski, A.; Pak, R.; Park, I. C.; Pernegger, H.; Reed, C.; Remsberg, L. P.; Reuter, M.; Roland, C.; Roland, G.; Rosenberg, L.; Sagerer, J.; Sarin, P.; Sawicki, P.; Skulski, W.; Steadman, S. G.; Steinberg, P.; Stephans, G. S. F.; Stodulski, M.; Sukhanov, A.; Tang, J.-L.; Teng, R.; Trzupek, A.; Vale, C.; van Nieuwenhuizen, G. J.; Verdier, R.; Wadsworth, B.; Wolfs, F. L. H.; Wosiek, B.; Woźniak, K.; Wuosmaa, A. H.; Wysłouch, B.; Phobos Collaboration

2003-04-01

The PHOBOS experiment at RHIC has measured the multiplicity of primary charged particles as a function of centrality and pseudorapidity in Au+Au collisions at √ SNN = 19.6, 130 and 200 GeV. Two kinds of universal behavior are observed in charged particle production in heavy ion collisions. The first is that forward particle production, over a range of energies, follows a universal limiting curve with a non-trivial centrality dependence. The second arises from comparisons with pp/ overlinepp and e +e - data. / in nuclear collisions at high energy scales with √ s in a similar way as Nch in e +e - collisions and has a very weak centrality dependence. This feature may be related to a reduction in the leading particle effect due to the multiple collisions suffered per participant in heavy ion collisions.

Importance of tie strengths in the prisoner's dilemma game on social networks

Science.gov (United States)

Xu, Bo; Liu, Lu; You, Weijia

2011-06-01

Though numerous researches have shown that tie strengths play a key role in the formation of collective behavior in social networks, little work has been done to explore their impact on the outcome of evolutionary games. In this Letter, we studied the effect of tie strength in the dynamics of evolutionary prisoner's dilemma games by using online social network datasets. The results show that the fraction of cooperators has a non-trivial dependence on tie strength. Weak ties, just like previous researches on epidemics and information diffusion have shown, play a key role by the maintenance of cooperators in evolutionary prisoner's dilemma games.

Health behavior change: can genomics improve behavioral adherence?

Science.gov (United States)

McBride, Colleen M; Bryan, Angela D; Bray, Molly S; Swan, Gary E; Green, Eric D

2012-03-01

The National Human Genome Research Institute recommends pursuing "genomic information to improve behavior change interventions" as part of its strategic vision for genomics. The limited effectiveness of current behavior change strategies may be explained, in part, by their insensitivity to individual variation in adherence responses. The first step in evaluating whether genomics can inform customization of behavioral recommendations is evidence reviews to identify adherence macrophenotypes common across behaviors and individuals that have genetic underpinnings. Conceptual models of how biological, psychological, and environmental factors influence adherence also are needed. Researchers could routinely collect biospecimens and standardized adherence measurements of intervention participants to enable understanding of genetic and environmental influences on adherence, to guide intervention customization and prospective comparative effectiveness studies.

Algebraic formulas for some nontrivial U/sub n/ 6j symbols and U/sub m/n contains U/sub m/ x U/sub n/ 3jm symbols

International Nuclear Information System (INIS)

Haase, R.W.; Butler, P.H.

1985-01-01

We give tables of algebraic formulas for some nontrivial 6j symbols and 3jm symbols of the unitary groups. The tables demonstrate that the building-up method can be used successfully to obtain the rank dependence of unitary group j and jm symbols. To emphasize the rank-dependent nature of this calculation, we have employed the composite Young tableaux notation (or back-to-back notation) to label the unitary group irreps. In using this notation, the transpose conjugate symmetry of the corresponding composite Young diagram leads to a new symmetry of the unitary group 6j and 3jm symbols. The transposition of the groups U/sub m/ and U/sub n/ gives rise to a further symmetry of the 3jm symbols of U/sub m/n contains U/sub m/ x U/sub n/

Supporting smartphone-based behavioral activation

DEFF Research Database (Denmark)

Bardram, Jakob Eyvind; Rohani, Darius A.; Tuxen, Nanna

2017-01-01

Behavioral activation has shown to be a simple yet efective therapy for depressive patients. The method relies on extensive collection of patient reported activity data on an hourly basis. We are currently in the process of designing a smartphone-based behavioral activation system for depressive...... disorders. However, it is an open question to what degree patients would use this approach given the high demand for user input. In order to investigate this question, we collected paper-based behavioral activation forms from 5 patients, covering in total 18 weeks, 115 days, and 1,614 hours of self......-reported activity data. In this paper we present an analysis of this data and discuss the implications for the design of a smartphone-based system for behavioral activation....

Self-regulatory processes mediate the intention-behavior relation for adherence and exercise behaviors.

Science.gov (United States)

de Bruin, Marijn; Sheeran, Paschal; Kok, Gerjo; Hiemstra, Anneke; Prins, Jan M; Hospers, Harm J; van Breukelen, Gerard J P

2012-11-01

Understanding the gap between people's intentions and actual health behavior is an important issue in health psychology. Our aim in this study was to investigate whether self-regulatory processes (monitoring goal progress and responding to discrepancies) mediate the intention-behavior relation in relation to HIV medication adherence (Study 1) and intensive exercise behavior (Study 2). In Study 1, questionnaire and electronically monitored adherence data were collected at baseline and 3 months later from patients in the control arm of an HIV-adherence intervention study. In Study 2, questionnaire data was collected at 3 time points 6-weeks apart in a cohort study of physical activity. Complete data at all time points were obtained from 51 HIV-infected patients and 499 intensive exercise participants. Intentions were good predictors of behavior and explained 25 to 30% of the variance. Self-regulatory processes explained an additional 11% (Study 1) and 6% (Study 2) of variance in behavior on top of intentions. Regression and bootstrap analyses revealed at least partial, and possibly full, mediation of the intention-behavior relation by self-regulatory processes. The present studies indicate that self-regulatory processes may explain how intentions drive behavior. Future tests, using different health behaviors and experimental designs, could firmly establish whether self-regulatory processes complement current health behavior theories and should become routine targets for intervention. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Redesigning a collection system for 'small' consumer electronics

International Nuclear Information System (INIS)

Melissen, Frans W.

2006-01-01

This paper establishes that the collection system within the recycling scheme for consumer electronics in the Netherlands has not been entirely successful in convincing consumers to hand in their used appliances by means of dedicated collection routes. Particularly regarding small appliances, consumers are persisting in their habit of discarding their appliances by means of the refuse bag/bin for regular household waste. Therefore, the current collection system has been unable to direct consumer behavior in the desired direction. Consequently, the layout of the current system is reviewed and redesigned in order to tackle this problem. This design effort applies the Triad model (behavioral model) in the analysis stage and the Morphological Chart method (design tool) in the synthesis stage, and results in a concrete proposal for a new system. Finally, the applicability of this design approach beyond the specific circumstances of the case study presented in this paper is discussed. This case represents only one example of the broader, worldwide challenge to design appropriate collection systems to direct consumer behavior in desired directions. It is argued that the approach presented in this paper could be a valuable contribution to research dealing with this challenge

Multi-scale analysis of collective behavior in 2D self-propelled particle models of swarms: An Advection-Diffusion with Memory Approach

Science.gov (United States)

Raghib, Michael; Levin, Simon; Kevrekidis, Ioannis

2010-05-01

Self-propelled particle models (SPP's) are a class of agent-based simulations that have been successfully used to explore questions related to various flavors of collective motion, including flocking, swarming, and milling. These models typically consist of particle configurations, where each particle moves with constant speed, but changes its orientation in response to local averages of the positions and orientations of its neighbors found within some interaction region. These local averages are based on `social interactions', which include avoidance of collisions, attraction, and polarization, that are designed to generate configurations that move as a single object. Errors made by the individuals in the estimates of the state of the local configuration are modeled as a random rotation of the updated orientation resulting from the social rules. More recently, SPP's have been introduced in the context of collective decision-making, where the main innovation consists of dividing the population into naïve and `informed' individuals. Whereas naïve individuals follow the classical collective motion rules, members of the informed sub-population update their orientations according to a weighted average of the social rules and a fixed `preferred' direction, shared by all the informed individuals. Collective decision-making is then understood in terms of the ability of the informed sub-population to steer the whole group along the preferred direction. Summary statistics of collective decision-making are defined in terms of the stochastic properties of the random walk followed by the centroid of the configuration as the particles move about, in particular the scaling behavior of the mean squared displacement (msd). For the region of parameters where the group remains coherent , we note that there are two characteristic time scales, first there is an anomalous transient shared by both purely naïve and informed configurations, i.e. the scaling exponent lies between 1 and

Exploring quantum mechanics a collection of 700+ solved problems for students, lecturers, and researchers

CERN Document Server

Galitski, Victor; Kogan, Vladimir; Galitski, Victor Jr

2013-01-01

A series of seminal technological revolutions has led to a new generation of electronic devices miniaturized to such tiny scales where the strange laws of quantum physics come into play. There is no doubt that, unlike scientists and engineers of the past, technology leaders of the future will have to rely on quantum mechanics in their everyday work. This makes teaching and learning the subject of paramount importance for further progress. Mastering quantum physics is a very non-trivial task and its deep understanding can only be achieved through working out real-life problems and examples. It is notoriously difficult to come up with new quantum-mechanical problems that would be solvable with a pencil and paper, and within a finite amount of time. This book remarkably presents some 700+ original problems in quantum mechanics together with detailed solutions covering nearly 1000 pages on all aspects of quantum science. The material is largely new to the English-speaking audience. The problems have been collect...

Understanding recurrent crime as system-immanent collective behavior.

Science.gov (United States)

Perc, Matjaž; Donnay, Karsten; Helbing, Dirk

2013-01-01

Containing the spreading of crime is a major challenge for society. Yet, since thousands of years, no effective strategy has been found to overcome crime. To the contrary, empirical evidence shows that crime is recurrent, a fact that is not captured well by rational choice theories of crime. According to these, strong enough punishment should prevent crime from happening. To gain a better understanding of the relationship between crime and punishment, we consider that the latter requires prior discovery of illicit behavior and study a spatial version of the inspection game. Simulations reveal the spontaneous emergence of cyclic dominance between "criminals", "inspectors", and "ordinary people" as a consequence of spatial interactions. Such cycles dominate the evolutionary process, in particular when the temptation to commit crime or the cost of inspection are low or moderate. Yet, there are also critical parameter values beyond which cycles cease to exist and the population is dominated either by a stable mixture of criminals and inspectors or one of these two strategies alone. Both continuous and discontinuous phase transitions to different final states are possible, indicating that successful strategies to contain crime can be very much counter-intuitive and complex. Our results demonstrate that spatial interactions are crucial for the evolutionary outcome of the inspection game, and they also reveal why criminal behavior is likely to be recurrent rather than evolving towards an equilibrium with monotonous parameter dependencies.

Understanding recurrent crime as system-immanent collective behavior.

Directory of Open Access Journals (Sweden)

Matjaž Perc

Full Text Available Containing the spreading of crime is a major challenge for society. Yet, since thousands of years, no effective strategy has been found to overcome crime. To the contrary, empirical evidence shows that crime is recurrent, a fact that is not captured well by rational choice theories of crime. According to these, strong enough punishment should prevent crime from happening. To gain a better understanding of the relationship between crime and punishment, we consider that the latter requires prior discovery of illicit behavior and study a spatial version of the inspection game. Simulations reveal the spontaneous emergence of cyclic dominance between "criminals", "inspectors", and "ordinary people" as a consequence of spatial interactions. Such cycles dominate the evolutionary process, in particular when the temptation to commit crime or the cost of inspection are low or moderate. Yet, there are also critical parameter values beyond which cycles cease to exist and the population is dominated either by a stable mixture of criminals and inspectors or one of these two strategies alone. Both continuous and discontinuous phase transitions to different final states are possible, indicating that successful strategies to contain crime can be very much counter-intuitive and complex. Our results demonstrate that spatial interactions are crucial for the evolutionary outcome of the inspection game, and they also reveal why criminal behavior is likely to be recurrent rather than evolving towards an equilibrium with monotonous parameter dependencies.

A Web-Based Data Collection Platform for Multisite Randomized Behavioral Intervention Trials: Development, Key Software Features, and Results of a User Survey.

Science.gov (United States)

Modi, Riddhi A; Mugavero, Michael J; Amico, Rivet K; Keruly, Jeanne; Quinlivan, Evelyn Byrd; Crane, Heidi M; Guzman, Alfredo; Zinski, Anne; Montue, Solange; Roytburd, Katya; Church, Anna; Willig, James H

2017-06-16

Meticulous tracking of study data must begin early in the study recruitment phase and must account for regulatory compliance, minimize missing data, and provide high information integrity and/or reduction of errors. In behavioral intervention trials, participants typically complete several study procedures at different time points. Among HIV-infected patients, behavioral interventions can favorably affect health outcomes. In order to empower newly diagnosed HIV positive individuals to learn skills to enhance retention in HIV care, we developed the behavioral health intervention Integrating ENGagement and Adherence Goals upon Entry (iENGAGE) funded by the National Institute of Allergy and Infectious Diseases (NIAID), where we deployed an in-clinic behavioral health intervention in 4 urban HIV outpatient clinics in the United States. To scale our intervention strategy homogenously across sites, we developed software that would function as a behavioral sciences research platform. This manuscript aimed to: (1) describe the design and implementation of a Web-based software application to facilitate deployment of a multisite behavioral science intervention; and (2) report on results of a survey to capture end-user perspectives of the impact of this platform on the conduct of a behavioral intervention trial. In order to support the implementation of the NIAID-funded trial iENGAGE, we developed software to deploy a 4-site behavioral intervention for new clinic patients with HIV/AIDS. We integrated the study coordinator into the informatics team to participate in the software development process. Here, we report the key software features and the results of the 25-item survey to evaluate user perspectives on research and intervention activities specific to the iENGAGE trial (N=13). The key features addressed are study enrollment, participant randomization, real-time data collection, facilitation of longitudinal workflow, reporting, and reusability. We found 100% user

The Neurobiology of Collective Action

Directory of Open Access Journals (Sweden)

Paul Joseph Zak

2013-11-01

Full Text Available This essay introduces a neurologically-informed mathematical model of collective action that reveals the role for empathy and distress in motivating costly helping behaviors. We report three direct tests of model with a key focus on the neuropeptide oxytocin as well as a variety of indirect tests. These studies, from our lab and other researchers, show support for the model. Our findings indicate that empathic concern, via the brain's release of oxytocin, is a trigger for collective action. We discuss the implications from this model for our understanding why human beings engage in costly collective action.

Assessment of Behavior Management and Behavioral Interventions in State Child Welfare Facilities

Science.gov (United States)

Wong, Stephen E.

2006-01-01

Official state program reviews of 204 substitute care facilities were assessed for the types of behavior management and behavioral interventions used and the extent to which agency practices were consistent with learning theory principles. Data were also collected on the type and number of professional staff available to implement and oversee…

A Review of Research on Direct-Care Staff Data Collection Regarding the Severity and Function of Challenging Behavior in Individuals with Intellectual and Developmental Disabilities

Science.gov (United States)

Madsen, Emily K.; Peck, Janelle A.; Valdovinos, Maria G.

2016-01-01

In working with individuals with intellectual and developmental disabilities (IDDs), it is direct care staff who are often required to collect data on individuals' behavior which is used as the basis for implementation of empirically based approaches for intervention and treatment. Due to limited resources, indirect and descriptive measures of…

The HIV/AIDS epidemic in Grenada: A cross-sectional approach used to measure response variation regarding sexual behavior and health depending on the method of data collection.

Science.gov (United States)

Chaudhry, Muhammad Reza; Husain, Faisal; Armstrong, Elan G; Ferguson, James A

2018-06-01

The objective of this study was to determine the association between high-risk sexual behavior in relation to HIV transmission and prevalence among different groups of people in Grenada. In addition, this study intends to increase the involvement and improved services by Grenadian chapter of the Caribbean HIV/AIDS Partnership (GrenCHAP).A cross-sectional study was conducted over a 2-month period in Grenada, West Indies, to measure the responsive nature of different populations to an inquiry about HIV and sexual behavior. The 2 methods used to collect the data were online (via social media) and through an in-person interaction with local NGO GrenCHAP personnel. Survey responses were recorded via SurveyMonkey ending on April 11, 2014.The findings of the study were that there was an increased degree of frankness and demographic diversity in participants who responded online as opposed to in-person.People who responded online were more likely to engage in high-risk sexual behavior. GrenCHAP has the opportunity to contribute in the collection of invaluable data concerning HIV and other STIs because of its NGO status and anonymity.

78 FR 5780 - Agency Information Collection Activities: Proposed Collection, Comment Request: Generic Clearance...

Science.gov (United States)

2013-01-28

... developing an outreach and communications campaign designed to change consumer behavior. Since these systems... comment on a proposed collection of certain information by the Commission's Office of Consumer Outreach... Reform and Consumer Protection Act, Public Law 111-2-3 (``Dodd-Frank Act''), found in Section 748 of the...

Heterogeneous motives and the collective creation of value

NARCIS (Netherlands)

Bridoux, F.; Coeurderoy, R.; Durand, R.

2011-01-01

The collective creation of value has remained underexplored in management research. Drawing on social psychology and behavioral economics, we analyze the impact of the mix of employee motives to cooperate and compare the collective value generated by three motivational systems: individual monetary

Behavioral targeting: a European legal perspective

NARCIS (Netherlands)

Zuiderveen Borgesius, F.

2013-01-01

Behavioral targeting, or online profiling, is a hotly debated topic. Much of the collection of personal information on the Internet is related to behavioral targeting, although research suggests that most people don't want to receive behaviorally targeted advertising. The World Wide Web Consortium

Variables That Influence the Environmental Behavior of Adults

Science.gov (United States)

Levy, Anat; Orion, Nir; Leshem, Yossi

2018-01-01

This study focuses on understanding the factors that encourage adults' environmental behavior. This mixed approach methodology study used 10 Likert type questionnaires to collect data about nine cognitive and affective components that might influence environmental behavior. The qualitative data was collected through open questions and interviews.…

[Behavioral response of Anopheles albimanus to volatile compounds collected inside houses from the south of Chiapas, Mexico].

Science.gov (United States)

Ríos-Delgado, Silvany Mayoly; Rodríguez-Ramírez, Américo David; Cruz-López, Leopoldo; Escobar-Pérez, Luis Alonso; Aburto-Juárez, Ma de Lourdes; Torres-Estrada, José Luis

2008-01-01

To determine effects of volatile compounds in homes on the behavioral response of Anopheles albimanus. The study was conducted in January 2006, in the village of Nueva Independencia village, Suchiate, Chiapas. Volatile compounds were collected inside homes and the extracts were tested on unfed females in a Y-olfactometer. Extracts were analyzed in a gas chromatography-mass spectrometry system (GC-MS). Twenty eight extracts were obtained, twelve presented attraction and two repellency responses. GC-MS analyses of the extracts indicated variation in the volatile compound present in the extracts, but could not associated specific compounds with any particular effect. Within homes, volatiles presented attraction and repellency responses to An. albimanus. A definate pattern concerning the presence of a characteristic chemical compound and the observed response was not found.

Collective ordering of microscale matters in natural analogy.

Science.gov (United States)

Ahn, Sungsook; Lee, Sang Joon

2015-06-01

Collective interaction occurs in many natural and artificial matters in broad scales. In a biological system, collective spatial organization of live individuals in a colony is important for their viability determination. Interactive motions between a single individual and an agglomerate are critical for whole procedure of the collective behaviors, but few has been clarified for these intermediate range behaviors. Here, collective interactions of microscale matters are investigated with human cells, plant seeds and artificial microspheres in terms of commonly occurring spatial arrangements. Human cancer cells are inherently attractive to form an agglomerate by cohesive motion, while plant chia seeds are repulsive by excreting mucilage. Microsphere model is employed to investigate the dynamic assembly equilibrated by an attraction and repulsion. There is a fundamental analogy in terms of an onset of regular pattern formation even without physical contact of individuals. The collective interactions are suggested to start before the individual components become physically agglomerated. This study contributes to fundamental understanding on the microscale particulate matters and natural pattern formation which are further useful for various applications both in academic and industrial areas.

micROS: a morphable, intelligent and collective robot operating system.

Science.gov (United States)

Yang, Xuejun; Dai, Huadong; Yi, Xiaodong; Wang, Yanzhen; Yang, Shaowu; Zhang, Bo; Wang, Zhiyuan; Zhou, Yun; Peng, Xuefeng

2016-01-01

Robots are developing in much the same way that personal computers did 40 years ago, and robot operating system is the critical basis. Current robot software is mainly designed for individual robots. We present in this paper the design of micROS, a morphable, intelligent and collective robot operating system for future collective and collaborative robots. We first present the architecture of micROS, including the distributed architecture for collective robot system as a whole and the layered architecture for every single node. We then present the design of autonomous behavior management based on the observe-orient-decide-act cognitive behavior model and the design of collective intelligence including collective perception, collective cognition, collective game and collective dynamics. We also give the design of morphable resource management, which first categorizes robot resources into physical, information, cognitive and social domains, and then achieve morphability based on self-adaptive software technology. We finally deploy micROS on NuBot football robots and achieve significant improvement in real-time performance.

Scaling behavior of online human activity

Science.gov (United States)

Zhao, Zhi-Dan; Cai, Shi-Min; Huang, Junming; Fu, Yan; Zhou, Tao

2012-11-01

The rapid development of the Internet technology enables humans to explore the web and record the traces of online activities. From the analysis of these large-scale data sets (i.e., traces), we can get insights about the dynamic behavior of human activity. In this letter, the scaling behavior and complexity of human activity in the e-commerce, such as music, books, and movies rating, are comprehensively investigated by using the detrended fluctuation analysis technique and the multiscale entropy method. Firstly, the interevent time series of rating behaviors of these three types of media show similar scaling properties with exponents ranging from 0.53 to 0.58, which implies that the collective behaviors of rating media follow a process embodying self-similarity and long-range correlation. Meanwhile, by dividing the users into three groups based on their activities (i.e., rating per unit time), we find that the scaling exponents of the interevent time series in the three groups are different. Hence, these results suggest that a stronger long-range correlations exist in these collective behaviors. Furthermore, their information complexities vary in the three groups. To explain the differences of the collective behaviors restricted to the three groups, we study the dynamic behavior of human activity at the individual level, and find that the dynamic behaviors of a few users have extremely small scaling exponents associated with long-range anticorrelations. By comparing the interevent time distributions of four representative users, we can find that the bimodal distributions may bring forth the extraordinary scaling behaviors. These results of the analysis of the online human activity in the e-commerce may not only provide insight into its dynamic behaviors but may also be applied to acquire potential economic interest.

The soundscape dynamics of human agglomeration

International Nuclear Information System (INIS)

Ribeiro, Haroldo V; De Souza, Rodolfo T; Lenzi, Ervin K; Mendes, Renio S; Evangelista, Luiz R

2011-01-01

We report on a statistical analysis of the people agglomeration soundscape. Specifically, we investigate the normalized sound amplitudes and intensities that emerge from human collective meetings. Our findings support the existence of non-trivial dynamics characterized by heavy tail distributions in the sound amplitudes, long-range correlations in the sound intensity and non-exponential distributions in the return interval distributions. Additionally, motivated by the time-dependent behavior present in the volatility/variance series, we compare the observational data with those obtained from a minimalist autoregressive stochastic model, namely the generalized autoregressive conditional heteroskedastic process (the GARCH process), and find that there is good agreement.

Connecting Ellipses to Rectangles in Passive Scalar Transport

Science.gov (United States)

Aminian, Manuchehr; Bernardi, Francesca; Camassa, Roberto; Harris, Daniel; McLaughlin, Richard

2017-11-01

We study how passive scalar transport in Poiseuille flow is affected by the shape of the pipe cross section. Our previous results have established nontrivial dependence of the skewness of the tracer distribution upon the pipe shape. Previously, we have studied the families of rectangles and ellipses, with the behavior past diffusive timescales primarily depending on aspect ratio, and the type of geometry being secondary. However, at timescales well before the diffusion timescale, the family of ellipses is distinct compared to rectangles. We investigate this phenomenon by studying a collection of exotic cross sections connecting the ellipses and rectangles, using a combination of theoretical and computational tools.

An evolutionary game model for behavioral gambit of loyalists: Global awareness and risk-aversion

Science.gov (United States)

Alfinito, E.; Barra, A.; Beccaria, M.; Fachechi, A.; Macorini, G.

2018-02-01

We study the phase diagram of a minority game where three classes of agents are present. Two types of agents play a risk-loving game that we model by the standard Snowdrift Game. The behaviour of the third type of agents is coded by indifference with respect to the game at all: their dynamics is designed to account for risk-aversion as an innovative behavioral gambit. From this point of view, the choice of this solitary strategy is enhanced when innovation starts, while is depressed when it becomes the majority option. This implies that the payoff matrix of the game becomes dependent on the global awareness of the agents measured by the relevance of the population of the indifferent players. The resulting dynamics is nontrivial with different kinds of phase transition depending on a few model parameters. The phase diagram is studied on regular as well as complex networks.

Topologically nontrivial quantum layers

International Nuclear Information System (INIS)

Carron, G.; Exner, P.; Krejcirik, D.

2004-01-01

Given a complete noncompact surface Σ embedded in R 3 , we consider the Dirichlet Laplacian in the layer Ω that is defined as a tubular neighborhood of constant width about Σ. Using an intrinsic approach to the geometry of Ω, we generalize the spectral results of the original paper by Duclos et al. [Commun. Math. Phys. 223, 13 (2001)] to the situation when Σ does not possess poles. This enables us to consider topologically more complicated layers and state new spectral results. In particular, we are interested in layers built over surfaces with handles or several cylindrically symmetric ends. We also discuss more general regions obtained by compact deformations of certain Ω

Behaviorism Makes Its Debut: A Review of Lattal and Chase's Behavior Theory and Philosophy

OpenAIRE

Zuriff, G.E

2005-01-01

Behavior Theory and Philosophy, masterfully edited by Lattal and Chase, is a collection of 21 papers by major behaviorists, presented and discussed at a conference on the intersection of philosophy and behavior analysis held at West Virginia University in 2000. The chapters in Part I are devoted to philosophy of science (causality, constructs, theory, explanation, reductionism) and the relations among behavior analysis and several contemporary philosophical movements (humanism, empiricism, pr...

Leadership Behaviors In Project Design Offices

OpenAIRE

Kasapoğlu, Esin

2011-01-01

Leadership may be defined as the ability to collect a group of people around definite objectives and the achievement of said objectives. An architectural design team needs a leader, and in this paper, the owner of the office is the formal leader. Leadership behaviors of employer architects are directly related to the performance of the design team; therefore, effective leadership is key to a successful design process. Data were collected through a questionnaire on leadership behaviors that wa...

Assessing the impact of safety monitoring on the efficacy analysis in large Phase III group sequential trials with non-trivial safety event rate.

Science.gov (United States)

Weng, Yanqiu; Palesch, Yuko Y; DeSantis, Stacia M; Zhao, Wenle

2016-01-01

In Phase III clinical trials for life-threatening conditions, some serious but expected adverse events, such as early deaths or congestive heart failure, are often treated as the secondary or co-primary endpoint, and are closely monitored by the Data and Safety Monitoring Committee (DSMC). A naïve group sequential design (GSD) for such a study is to specify univariate statistical boundaries for the efficacy and safety endpoints separately, and then implement the two boundaries during the study, even though the two endpoints are typically correlated. One problem with this naïve design, which has been noted in the statistical literature, is the potential loss of power. In this article, we develop an analytical tool to evaluate this negative impact for trials with non-trivial safety event rates, particularly when the safety monitoring is informal. Using a bivariate binary power function for the GSD with a random-effect component to account for subjective decision-making in safety monitoring, we demonstrate how, under common conditions, the power loss in the naïve design can be substantial. This tool may be helpful to entities such as the DSMCs when they wish to deviate from the prespecified stopping boundaries based on safety measures.

Consumer Buying Behavior

OpenAIRE

Irena Vida; Mojca Maher Pirc

2006-01-01

The study examines the phenomenon of national identity and economic ethnocentrism in consumer buying behavior. Analysis of data collected from a representative sample of adult Slovenian consumers reveals only moderately expressed ethnocentric tendencies. Similar moderation was revealed in the preferences of Slovenian consumers for patriotic purchasing behavior, whereby the domestic origin of products was more important in the case of nondurable goods and services than in the case of durable g...

Collectivism and coping: current theories, evidence, and measurements of collective coping.

Science.gov (United States)

Kuo, Ben C H

2013-01-01

A burgeoning body of cultural coping research has begun to identify the prevalence and the functional importance of collective coping behaviors among culturally diverse populations in North America and internationally. These emerging findings are highly significant as they evidence culture's impacts on the stress-coping process via collectivistic values and orientation. They provide a critical counterpoint to the prevailing Western, individualistic stress and coping paradigm. However, current research and understanding about collective coping appear to be piecemeal and not well integrated. To address this issue, this review attempts to comprehensively survey, summarize, and evaluate existing research related to collective coping and its implications for coping research with culturally diverse populations from multiple domains. Specifically, this paper reviews relevant research and knowledge on collective coping in terms of: (a) operational definitions; (b) theories; (c) empirical evidence based on studies of specific cultural groups and broad cultural values/dimensions; (d) measurements; and (e) implications for future cultural coping research. Overall, collective coping behaviors are conceived as a product of the communal/relational norms and values of a cultural group across studies. They also encompass a wide array of stress responses ranging from value-driven to interpersonally based to culturally conditioned emotional/cognitive to religion- and spirituality-grounded coping strategies. In addition, this review highlights: (a) the relevance and the potential of cultural coping theories to guide future collective coping research; (b) growing evidence for the prominence of collective coping behaviors particularly among Asian nationals, Asian Americans/Canadians and African Americans/Canadians; (c) preference for collective coping behaviors as a function of collectivism and interdependent cultural value and orientation; and (d) six cultural coping scales. This

Collective nostalgia: A group-level emotion that confers unique benefits on the group.

Science.gov (United States)

Wildschut, Tim; Bruder, Martin; Robertson, Sara; van Tilburg, Wijnand A P; Sedikides, Constantine

2014-11-01

This research established collective nostalgia as a group-level emotion and ascertained the benefits it confers on the group. In Study 1, participants who reflected on a nostalgic event they had experienced together with ingroup members (collective nostalgia) evaluated the ingroup more positively and reported stronger intentions to approach (and not avoid) ingroup members than those who recalled a nostalgic event they had experienced individually (personal nostalgia), those who reflected on a lucky event they had experienced together with ingroup members (collective positive), and those who did not recall an event (no recall). In Study 2, collective (vs. personal) nostalgia strengthened behavioral intentions to support the ingroup more so than did recalling an ordinary collective (vs. personal) event. Increased collective self-esteem mediated this effect. In Study 3, collective nostalgia (compared with recall of an ordinary collective event) led participants to sacrifice money in order to punish a transgression perpetrated against an ingroup member. This effect of collective nostalgia was more pronounced when social identification was high (compared with low). Finally, in Study 4, collective nostalgia converged toward the group average (i.e., was socially shared) when participants thought of themselves in terms of their group membership. The findings underscore the viability of studying nostalgia at multiple levels of analysis and highlight the significance of collective nostalgia for understanding group-level attitudes, global action tendencies, specific behavioral intentions, and behavior.

Strange metals and quantum phase transitions from gauge/gravity duality

Science.gov (United States)

Liu, Hong

2011-03-01

Metallic materials whose thermodynamic and transport properties differ significantly from those predicted by Fermi liquid theory, so-called non-Fermi liquids, include the strange metal phase of cuprate superconductors, and heavy fermion systems near a quantum phase transition. We use gauge/gravity duality to identify a class of non-Fermi liquids. Their low-energy behavior is governed by a nontrivial infrared fixed point which exhibits non-analytic scaling behavior only in the temporal direction. Some representatives of this class have single-particle spectral functions and transport behavior similar to those of the strange metals, with conductivity inversely proportional to the temperature. Such holographic systems may also exhibit novel ``magnetic instabilities'', where the quantum critical behavior near the transition involves a nontrivial interplay between local and bulk physics, with the local physics again described by a similar infrared fixed point. The resulting quantum phase transitions do not obey the standard Landau-Ginsburg-Wilson paradigm and resemble those of the heavy fermion quantum critical points.

Information collection styles of wilderness users: a market segmentation approach

Science.gov (United States)

Roy Ramthun; Lynda Kersey; Jim Rogers

2000-01-01

Attempts to influence the behavior of wilderness visitors through the use of information are limited by the visitors’ reception of that information. This study examined the information gathering behavior of wilderness visitors and the effect of different information collection styles on visitors’ knowledge of low-impact behavior and attitudes toward wilderness...

The Emergence of Individual and Collective Leadership in Task Groups

DEFF Research Database (Denmark)

Paunova, Minna

2015-01-01

leader emergence in task groups as influenced by individual traits, states, and behaviors. However, current approaches to leadership in groups rely on functional achievement explanations of how collective leadership emerges, influenced by positive states and behaviors. Attention to ascription......This review synthesizes conceptual and empirical research on the emergence of individual and collective leadership in task groups, and proposes avenues for leadership research. To advance multilevel study of leadership emergence, including emergence of distributed and shared leadership, the paper...... reviews research on individual leader emergence, structured around two identified theoretical mechanisms—one of leadership achievement (i.e., based on functional behaviors) and another of leadership ascription (i.e., based on nominal characteristics). These approaches compete to elucidate individual...

Understanding user behavior in Spotify

NARCIS (Netherlands)

Zhang, B.; Kreitz, G.; Isaksson, M.; Ubillos, J.; Urdaneta, G.; Pouwelse, J.A.; Epema, D.H.J.

2013-01-01

Spotify is a peer-assisted music streaming service that has gained worldwide popularity in the past few years. Until now, little has been published about user behavior in such services. In this paper, we study the user behavior in Spotify by analyzing a massive dataset collected between 2010 and

Phase behavior of charged hydrophobic colloids on flat and spherical surfaces

Science.gov (United States)

Kelleher, Colm P.

For a broad class of two-dimensional (2D) materials, the transition from isotropic fluid to crystalline solid is described by the theory of melting due to Kosterlitz, Thouless, Halperin, Nelson and Young (KTHNY). According to this theory, long-range order is achieved via elimination of the topological defects which proliferate in the fluid phase. However, many natural and man-made 2D systems posses spatial curvature and/or non-trivial topology, which require the presence of topological defects, even at T=0. In principle, the presence of these defects could profoundly affect the phase behavior of such a system. In this thesis, we develop and characterize an experimental system of charged colloidal particles that bind electrostatically to the interface between an oil and an aqueous phase. Depending on how we prepare the sample, this fluid interface may be flat, spherical, or have a more complicated geometry. Focusing on the cases where the interface is flat or spherical, we measure the interactions between the particles, and probe various aspects of their phase behavior. On flat interfaces, this phase behavior is well-described by KTHNY theory. In spherical geometries, however, we observe spatial structures and inhomogeneous dynamics that cannot be captured by the measures traditionally used to describe flat-space phase behavior. We show that, in the spherical system, ordering is achieved by a novel mechanism: sequestration of topological defects into freely-terminating grain boundaries ("scars"), and simultaneous spatial organization of the scars themselves on the vertices of an icosahedron. The emergence of icosahedral order coincides with the localization of mobility into isolated "lakes" of fluid or glassy particles, situated at the icosahedron vertices. These lakes are embedded in a rigid, connected "continent" of locally crystalline particles.

Effect of DC voltage pulses on memristor behavior.

Energy Technology Data Exchange (ETDEWEB)

Evans, Brian R.

2013-10-01

Current knowledge of memristor behavior is limited to a few physical models of which little comprehensive data collection has taken place. The purpose of this research is to collect data in search of exploitable memristor behavior by designing and implementing tests on a HP Labs Rev2 Memristor Test Board. The results are then graphed in their optimal format for conceptualizing behavioral patterns. This series of experiments has concluded the existence of an additional memristor state affecting the behavior of memristors when pulsed with positively polarized DC voltages. This effect has been observed across multiple memristors and data sets. The following pages outline the process that led to the hypothetical existence and eventual proof of this additional state of memristor behavior.

Behaviorism Makes Its Debut: A Review of Lattal and Chase's Behavior Theory and Philosophy

Science.gov (United States)

Zuriff, G.E

2005-01-01

Behavior Theory and Philosophy, masterfully edited by Lattal and Chase, is a collection of 21 papers by major behaviorists, presented and discussed at a conference on the intersection of philosophy and behavior analysis held at West Virginia University in 2000. The chapters in Part I are devoted to philosophy of science (causality, constructs, theory, explanation, reductionism) and the relations among behavior analysis and several contemporary philosophical movements (humanism, empiricism, pragmatism, selectionism, analytic philosophy). Part II examines behavior-analytic interpretations of mentalistic concepts (intention, imagination, ethics, cognition). Part III presents extensions and applications of basic research in behavior analysis (verbal behavior, creativity, development, education, disability, and corporate culture). The publication of this book signals that behaviorism has developed mature philosophical foundations.

CDC Behavioral Risk Factor Surveillance System (BRFSS)

Data.gov (United States)

U.S. Department of Health & Human Services — The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based system of health surveys that collects information on health risk behaviors, preventive...

Behavior and Particularities of Academic Production on “Management Accounting” Published in the Database ISI WEB of Science Core Collection Between 1985 and 2014

Directory of Open Access Journals (Sweden)

Henrique César Melo Ribeiro

2017-03-01

Full Text Available The objective in this study was to analyze the behavior and the particularities of the academic production on the theme Management Accounting published in the ISI Web of Science Core Collection from 1985 to 2014. Methodologically, this research used the bibliometric and sociometric analysis techniques. The main results were: evolution of the theme as from 2007; Accounting, Organizations and Society and Management Accounting Research, which were the journals that most published on the subject “Management Accounting”; Lukka, K. was the most prolific author; the University of Turku was the institution that stood out; and the United States of America was emphasized in the production on that theme. In relation to the co-authorship networks, their low degree density was observed, leading to a high degree centrality and betweenness. And the themes that were highlighted in this study were: education; accounting teaching and research; Cost management; Management control; strategic management; and management accounting system. It is concluded in a macro way that this study evidenced inherent and contemporary information on the subject “Management Accounting”, focusing on its nuances in the behavior and particularities of its academic production, published in ISI Web of Science Core Collection from 1985 till 2014.

Export performance and Investment in R&D

DEFF Research Database (Denmark)

Dilling-Hansen, Mogens; Madsen, Erik Strøjer; Schröder, Philipp

Export and R&D behavior are endogenous and interact in a non-trivial manner with each other. Subsequently an empirical model for export and R&D behavior is formulated taking account of, inter alia, firm size, wages, human capital and a number of other firm and industry specific factors...

A strategy for recovering continuous behavioral telemetry data from Pacific walruses

Science.gov (United States)

Fischbach, Anthony S.; Jay, Chadwick V.

2016-01-01

Tracking animal behavior and movement with telemetry sensors can offer substantial insights required for conservation. Yet, the value of data collected by animal-borne telemetry systems is limited by bandwidth constraints. To understand the response of Pacific walruses (Odobenus rosmarus divergens) to rapid changes in sea ice availability, we required continuous geospatial chronologies of foraging behavior. Satellite telemetry offered the only practical means to systematically collect such data; however, data transmission constraints of satellite data-collection systems limited the data volume that could be acquired. Although algorithms exist for reducing sensor data volumes for efficient transmission, none could meet our requirements. Consequently, we developed an algorithm for classifying hourly foraging behavior status aboard a tag with limited processing power. We found a 98% correspondence of our algorithm's classification with a test classification based on time–depth data recovered and characterized through multivariate analysis in a separate study. We then applied our algorithm within a telemetry system that relied on remotely deployed satellite tags. Data collected by these tags from Pacific walruses across their range during 2007–2015 demonstrated the consistency of foraging behavior collected by this strategy with data collected by data logging tags; and demonstrated the ability to collect geospatial behavioral chronologies with minimal missing data where recovery of data logging tags is precluded. Our strategy for developing a telemetry system may be applicable to any study requiring intelligent algorithms to continuously monitor behavior, and then compress those data into meaningful information that can be efficiently transmitted.

Behavior and Particularities of Academic Production on “Management Accounting” Published in the Database ISI WEB of Science Core Collection Between 1985 and 2014

OpenAIRE

Henrique César Melo Ribeiro; Vanessa Carvalho Miranda Tavares

2017-01-01

The objective in this study was to analyze the behavior and the particularities of the academic production on the theme Management Accounting published in the ISI Web of Science Core Collection from 1985 to 2014. Methodologically, this research used the bibliometric and sociometric analysis techniques. The main results were: evolution of the theme as from 2007; Accounting, Organizations and Society and Management Accounting Research, which were the journals that most published on the subject ...

Investigating the Relationship between Coupon Collecting and Top-of-Mind Brand Awareness.

Science.gov (United States)

Pokrywczynski, Jim

To determine if coupon collecting has any influence on product information processing like brand awareness, and to understand better the coupon collecting process, an exploratory study examined the relationship between coupon-collecting behavior and brand awareness for the coupons collected. Subjects, 152 randomly chosen respondents from a Midwest…

Thermodynamics of black-holes in Brans-Dicke gravity

International Nuclear Information System (INIS)

Kim, H.; Kim, Y.

1997-01-01

It is recently been argued that non-trivial Brans-Dicke black-hole solutions different from the usual Schwarzschild solution could exist. The authors attempt here to 'censor' these non-trivial Brans-Dicke black-hole solutions by examining their thermodynamics properties. Quantities like Hawking temperature and entropy of the black holes are computed. The analysis of the behaviors of these thermodynamic quantities appears to show that even in Brans-Dicke gravity, the usual Schwarzschild space-time turns out to be the only physically relevant uncharged black-hole solution

Nonlinear Spinor Fields in Bianchi type-I spacetime reexamined

OpenAIRE

Saha, Bijan

2013-01-01

The specific behavior of spinor field in curve space-time with the exception of FRW model almost always gives rise to non-trivial non-diagonal components of the energy-momentum tensor. This non-triviality of non-diagonal components of the energy-momentum tensor imposes some severe restrictions either on the spinor field or on the metric functions. In this paper within the scope of an anisotropic Bianchi type-I Universe we study the role of spinor field in the evolution of the Universe. It is ...

Active learning and decision making: an introduction to the collection.

Science.gov (United States)

Gottlieb, Jacqueline; Lopes, Manuel; Oudeyer, Pierre-Yves

2014-01-01

The importance of exploratory behaviors by which agents actively sample information has been long appreciated in a wide range of disciplines ranging from machine and robot learning to neuroscience and psychology.  Given the complexity of these behaviors, progress in understanding them will require a confluence of ideas from these multiple fields.  This collection of articles in F1000Research aims to provide a home for a broad range of studies addressing this topic, including full length research articles, brief communications, single figure studies, and review/opinion articles, and studies using computational, behavioral or neural approaches.  Here, we provide an introduction to the collection which we hope will grow and become a valuable resource for the researchers exploring this topic.

Bose-Einstein condensation in magnetic traps. Introduction to the theory

International Nuclear Information System (INIS)

Pitaevskii, Lev P

1998-01-01

The recent realization of Bose-Einstein condensation in atomic gases opens new possibilities for the observation of macroscopic quantum phenomena. There are two important features of these systems - weak interaction and significant spatial inhomogeneity. Because of this a non-trivial 'zeroth-order' theory exists, compared to the 'first-order' Bogolubov theory. The zeroth-order theory is based on the mean-field Gross-Pitaevskii equation for the condensate ψ-function. The equation is classical in its essence but contains the constant ℎ explicitly. Phenomena such as collective modes, interference, tunneling, Josephson-like current and quantized vortex lines can be described using this equation. Elementary excitations define the thermodynamic behavior of the system and result in a Landau-type damping of collective modes. Fluctuations of the phase of the condensate wave function restrict the monochromaticity of the Josephson current. Fluctuations of the numbers of quanta result in quantum collapse-revival of the collective oscillations. (special issue)

Collective Signal Processing in Cluster Chemotaxis: Roles of Adaptation, Amplification, and Co-attraction in Collective Guidance

Science.gov (United States)

Camley, Brian A.; Zimmermann, Juliane; Levine, Herbert; Rappel, Wouter-Jan

2016-01-01

Single eukaryotic cells commonly sense and follow chemical gradients, performing chemotaxis. Recent experiments and theories, however, show that even when single cells do not chemotax, clusters of cells may, if their interactions are regulated by the chemoattractant. We study this general mechanism of “collective guidance” computationally with models that integrate stochastic dynamics for individual cells with biochemical reactions within the cells, and diffusion of chemical signals between the cells. We show that if clusters of cells use the well-known local excitation, global inhibition (LEGI) mechanism to sense chemoattractant gradients, the speed of the cell cluster becomes non-monotonic in the cluster’s size—clusters either larger or smaller than an optimal size will have lower speed. We argue that the cell cluster speed is a crucial readout of how the cluster processes chemotactic signals; both amplification and adaptation will alter the behavior of cluster speed as a function of size. We also show that, contrary to the assumptions of earlier theories, collective guidance does not require persistent cell-cell contacts and strong short range adhesion. If cell-cell adhesion is absent, and the cluster cohesion is instead provided by a co-attraction mechanism, e.g. chemotaxis toward a secreted molecule, collective guidance may still function. However, new behaviors, such as cluster rotation, may also appear in this case. Co-attraction and adaptation allow for collective guidance that is robust to varying chemoattractant concentrations while not requiring strong cell-cell adhesion. PMID:27367541

Understanding Eating Behaviors through Parental Communication and the Integrative Model of Behavioral Prediction.

Science.gov (United States)

Scheinfeld, Emily; Shim, Minsun

2017-05-01

Emerging adulthood (EA) is an important yet overlooked period for developing long-term health behaviors. During these years, emerging adults adopt health behaviors that persist throughout life. This study applies the Integrative Model of Behavioral Prediction (IMBP) to examine the role of childhood parental communication in predicting engagement in healthful eating during EA. Participants included 239 college students, ages 18 to 25, from a large university in the southern United States. Participants were recruited and data collection occurred spring 2012. Participants responded to measures to assess perceived parental communication, eating behaviors, attitudes, subjective norms, and behavioral control over healthful eating. SEM and mediation analyses were used to address the hypotheses posited. Data demonstrated that perceived parent-child communication - specifically, its quality and target-specific content - significantly predicted emerging adults' eating behaviors, mediated through subjective norm and perceived behavioral control. This study sets the stage for further exploration and understanding of different ways parental communication influences emerging adults' healthy behavior enactment.

When do business units benefit more from collective citizenship behavior of management teams? An upper echelons perspective.

Science.gov (United States)

Liu, Wu; Gong, Yaping; Liu, Jun

2014-05-01

Drawing upon the notion of managerial discretion from upper echelons theory, we theorize which external contingencies moderate the relationship between collective organizational citizenship behavior (COCB) and unit performance. Focusing on business unit (BU) management teams, we hypothesize that COCB of BU management teams enhances BU performance and that this impact depends on environmental uncertainty and BU management-team decision latitude, 2 determinants of managerial discretion. In particular, the positive effect of COCB is stronger when environmental uncertainty or the BU management-team decision latitude is greater. Time-lagged data from 109 BUs of a telecommunications company support the hypotheses. Additional exploratory analysis shows that the positive moderating effect of environmental uncertainty is further amplified at higher levels of BU management-team decision latitude. Overall, this study extends the internally focused view in the micro OCB literature by introducing external contingencies for the COCB-unit-performance relationship. (c) 2014 APA, all rights reserved.

Control of collective network chaos.

Science.gov (United States)

Wagemakers, Alexandre; Barreto, Ernest; Sanjuán, Miguel A F; So, Paul

2014-06-01

Under certain conditions, the collective behavior of a large globally-coupled heterogeneous network of coupled oscillators, as quantified by the macroscopic mean field or order parameter, can exhibit low-dimensional chaotic behavior. Recent advances describe how a small set of "reduced" ordinary differential equations can be derived that captures this mean field behavior. Here, we show that chaos control algorithms designed using the reduced equations can be successfully applied to imperfect realizations of the full network. To systematically study the effectiveness of this technique, we measure the quality of control as we relax conditions that are required for the strict accuracy of the reduced equations, and hence, the controller. Although the effects are network-dependent, we show that the method is effective for surprisingly small networks, for modest departures from global coupling, and even with mild inaccuracy in the estimate of network heterogeneity.

Developing a Measure of Virtual Community Citizenship Behavior

Directory of Open Access Journals (Sweden)

Luman Yong

2011-12-01

Full Text Available This study examines the kinds of behaviors that constitute virtual community citizenship behaviors (VCCB and tests three factors that may influence community members’ willingness to engage in VCCB. More specifically, the authors propose a multi-dimensional VCCB construct (altruism, civic virtue, consciousness, courtesy, and sportsmanship and three antecedents of VCCB (affective commitment, structural embeddedness and membership tenure. Four dimensions including altruism, civic virtue, courtesy and loyalty emerged as a result of behavioral examples collection from SMEs using critical incident technique and a VCCB survey with 19 Likert type items reflecting the behavioral examples within each dimension was created. Data was collected from an online discussion forum (The Grad Cafe to address the research questions of this study. Results indicate that affective commitment was a significant predictor of the virtual community citizenship behaviors. A research agenda for studying VCCB is presented.

Educational Behavior Apps and Wearable Devices: Current Research and Prospects

Science.gov (United States)

Lowe, Heather

2016-01-01

Dartmouth and MIT have developed educational behavior apps and wearable devices that collect contiguous streams of data from student users. Given the consent of the user, the app collects information about a student's physical activity, sleep patterns, and location to form conjectures about social and academic behavior. These apps have the…

The rules of information aggregation and emergence of collective intelligent behavior

International Nuclear Information System (INIS)

Bettencourt, Luis

2008-01-01

Information is a peculiar quantity. Unlike matter or energy, the aggregation of knowledge from many individuals can in fact produce more (or less) information than the sum of its parts. We use the formalism of information theory to derive general principles of information aggregation and collective organization under which information pooling can be synergetic or to identify when it will be redundant. We then show how several problems of collective cognition and coordination can be understood in terms of the conditions that allow for the minimization of uncertainty (maximization of predictability) under information pooling over many individuals. We discuss in some detail how collective coordination in swarms, markets, language processing and collaborative filtering may be guided by the optimal aggregation of information over many sources and identify circumstances when these processes fail, leading e.g. to inefficient markets. The contrast to approaches to understand coordination and collaboration via traditional decision and game theory is discussed as well as the incentives to individuals and groups to find optimal information aggregation mechanisms.

Business unusual: collective action against bribery in international business

OpenAIRE

Dávid-Barrett, Elizabeth

2017-01-01

Collective action initiatives in which governments and companies make anti-corruption commitments have proliferated in recent years. This apparently prosocial behavior defies the logic of collective action and, given that bribery often goes undetected and unpunished, is not easily explained by principal-agent theory. Club theory suggests that the answer lies in the institutional design of anti-corruption clubs: collective action can work as long as membership has high entry costs, members rec...

Collective punishment is more effective than collective reward for promoting cooperation

Science.gov (United States)

Gao, Lei; Wang, Zhen; Pansini, Riccardo; Li, Yao-Tang; Wang, Rui-Wu

2015-12-01

Collective punishment and reward are usually regarded as two potential mechanisms to explain the evolution of cooperation. Both scenarios, however, seem problematic to understand cooperative behavior, because they can raise the second-order free-rider problem and many organisms are not able to discriminate less cooperating individuals. Even though they have been proved to increase cooperation, there has been a debate about which one being more effective. To address this issue, we resort to the N-player evolutionary snowdrift game (NESG), where a collective punishment/reward mechanism is added by allowing some players to display punishment/reward towards all remaining players. By means of numerous simulations and analyses, we find that collective punishment is more effective in promoting cooperation for a relatively high initial frequency of cooperation or for a relatively small group. When the intensity of punishment exceeds a certain threshold, a stable state of full cooperation emerges for both small and large groups. In contrast, such state does not appear for large groups playing a NESG with reward mechanism. In the case of mutualistic interactions, finally, our results show the new payoff with collective punishment/reward can lead to the coexistence of cooperators and defectors when discrimination between these two is not possible.

Behavioral synthesis of asynchronous circuits

DEFF Research Database (Denmark)

Nielsen, Sune Fallgaard

2005-01-01

This thesis presents a method for behavioral synthesis of asynchronous circuits, which aims at providing a synthesis flow which uses and tranfers methods from synchronous circuits to asynchronous circuits. We move the synchronous behavioral synthesis abstraction into the asynchronous handshake...... is idle. This reduces unnecessary switching activity in the individual functional units and therefore the energy consumption of the entire circuit. A collection of behavioral synthesis algorithms have been developed allowing the designer to perform time and power constrained design space exploration...

Control of longitudinal collective behavior in the Muon Collider rings

International Nuclear Information System (INIS)

Cheng, Wen-Hao

1997-05-01

The longitudinal bunch collective effects in a Muon Collider ring are theoretically examined. The situation involves an intense bunch, a short bunch, a small momentum compaction, a rather large impedance compared with the stability threshold criterion, and luminosity life time limited by muon decay to a thousand turns. Qualitative descriptions of stability are given and a scaling law for the instability threshold is derived. Numerical simulation results for the impedance-related instabilities are given for two cases of current interest - a 250 GeV x 250 GeV demonstration machine and a 2 TeV x 2 TeV high energy machine. The results of these simulations are in good agreement with the predictions of the scaling law and show that the longitudinal collective effects are controllable with a proper choice of parameters (viz. rf voltage, rf frequency, linear and non-linear longitudinal chromaticity)

Web-based experiments for the study of collective social dynamics in cultural markets.

Science.gov (United States)

Salganik, Matthew J; Watts, Duncan J

2009-07-01

Social scientists are often interested in understanding how the dynamics of social systems are driven by the behavior of individuals that make up those systems. However, this process is hindered by the difficulty of experimentally studying how individual behavioral tendencies lead to collective social dynamics in large groups of people interacting over time. In this study, we investigate the role of social influence, a process well studied at the individual level, on the puzzling nature of success for cultural products such as books, movies, and music. Using a "multiple-worlds" experimental design, we are able to isolate the causal effect of an individual-level mechanism on collective social outcomes. We employ this design in a Web-based experiment in which 2,930 participants listened to, rated, and downloaded 48 songs by up-and-coming bands. Surprisingly, despite relatively large differences in the demographics, behavior, and preferences of participants, the experimental results at both the individual and collective levels were similar to those found in Salganik, Dodds, and Watts (2006). Further, by comparing results from two distinct pools of participants, we are able to gain new insights into the role of individual behavior on collective outcomes. We conclude with a discussion of the strengths and weaknesses of Web-based experiments to address questions of collective social dynamics. Copyright © 2009 Cognitive Science Society, Inc.

Consumer Behavior Research Methods

DEFF Research Database (Denmark)

Chrysochou, Polymeros

2017-01-01

This chapter starts by distinguishing consumer behavior research methods based on the type of data used, being either secondary or primary. Most consumer behavior research studies phenomena that require researchers to enter the field and collect data on their own, and therefore the chapter...... emphasizes the discussion of primary research methods. Based on the nature of the data primary research methods are further distinguished into qualitative and quantitative. The chapter describes the most important and popular qualitative and quantitative methods. It concludes with an overall evaluation...... of the methods and how to improve quality in consumer behavior research methods....

Enterprising Behavior in an Integral Competence Framework

NARCIS (Netherlands)

Loredana Orhei; S. Nandram; Marise Born

2013-01-01

We present insights from literature on enterprising behavior and competence followed by an application of the competence perspective. Data collection is based on the Critical Incident Technique among 205 entrepreneurs. The study shows how entrepreneurial behavior benefits from an Integral competence

Using Videoconferencing to Conduct Functional Analysis of Challenging Behavior and Develop Classroom Behavioral Support Plans for Students with Autism

NARCIS (Netherlands)

Machalicek, W.A.; O'Reilly, M.F.; Chan, J.M.; Lang, R.B.; Rispoli, M.; Davis, T.; Shogren, K.; Sigafoos, J.; Lancioni, G.E.; Antonuzzi, M.; Langthorne, P.; Andrews, A.; Didden, H.C.M.

2009-01-01

We conducted a functional analysis of challenging behavior for two students with autism using widely available videoconferencing equipment (laptop computers equipped with web cameras). Observers used the videoconferencing facilities to collect data on challenging behavior and to instruct the

78 FR 16518 - Agency Information Collection Activities: Submission for OMB Review; Comment Request

Science.gov (United States)

2013-03-15

... center follow-up on readmissions to the emergency department for suicidal behavior. The data collected... from patient data include: Demographic data, historical data, and subsequent suicidal behavioral and...

Evolutionary Dynamics of Collective Action in Structured Populations

Science.gov (United States)

Santos, Marta Daniela de Almeida

The pervasiveness of cooperation in Nature is not easily explained. If evolution is characterized by competition and survival of the fittest, why should selfish individuals cooperate with each other? Evolutionary Game Theory (EGT) provides a suitable mathematical framework to study this problem, central to many areas of science. Conventionally, interactions between individuals are modeled in terms of one-shot, symmetric 2-Person Dilemmas of Cooperation, but many real-life situations involve decisions within groups with more than 2 individuals, which are best-dealt in the framework of N-Person games. In this Thesis, we investigate the evolutionary dynamics of two paradigmatic collective social dilemmas - the N-Person Prisoner's Dilemma (NPD) and the N-Person Snowdrift Game (NSG) on structured populations, modeled by networks with diverse topological properties. Cooperative strategies are just one example of the many traits that can be transmitted on social networks. Several recent studies based on empirical evidence from a medical database have suggested the existence of a 3 degrees of influence rule, according to which not only our "friends", but also our friends' friends, and our friends' friends' friends, have a non-trivial influence on our decisions. We investigate the degree of peer influence that emerges from the spread of cooperative strategies, opinions and diseases on populations with distinct underlying networks of contacts. Our results show that networks naturally entangle individuals into interactions of many-body nature and that for each network class considered different processes lead to identical degrees of influence. None

Risk perception and intended behavior

International Nuclear Information System (INIS)

Mushkatel, A.; Nigg, J.; Pijawka, D.

1988-01-01

This paper reviews the approach taken to assess the social impacts of the proposed high-level nuclear waste repository at Yucca Mountain, Nevada on residents in the closest metropolitan area, Las Vegas. The purpose of this portion of the assessment is to investigate the effects of the repository on the future well-being and behavior of Las Vegas residents under different operational futures of the repository. To investigate these effects, a research design and conceptual framework were developed to collect data from a random sample of Las Vegas metropolitan area residents. The design allows for the collection of both baseline data (to determine current risk perceptions and behaviors) and projected effects of the repository under four different operational futures

Rational behavior is a ‘double-edged sword’ when considering voluntary vaccination

Science.gov (United States)

Zhang, Haifeng; Fu, Feng; Zhang, Wenyao; Wang, Binghong

2012-10-01

Of particular importance for public health is how to understand strategic vaccination behavior in social networks. Social learning is a central aspect of human behavior, and it thus shapes vaccination individuals’ decision-making. Here, we study two simple models to address the impact of the more rational decision-making of individuals on voluntary vaccination. In the first model, individuals are endowed with memory capacity for their past experiences of dealing with vaccination. In addition to their current payoffs, they also take account of the historical payoffs that are discounted by a memory-decaying factor. They use such overall payoffs (weighing the current payoffs and historical payoffs) to reassess their vaccination strategies. Those who have higher overall payoffs are more likely imitated by their social neighbors. In the second model, individuals do not blindly learn the strategies of neighbors; they also combine the fraction of infection in the past epidemic season. If the fraction of infection surpasses the perceived risk threshold, individuals will increase the probability of taking vaccination. Otherwise, they will decrease the probability of taking vaccination. Then we use evolutionary game theory to study the vaccination behavior of people during an epidemiological process. To do this, we propose a two-stage model: individuals make vaccination decisions during a yearly vaccination campaign, followed by an epidemic season. This forms a feedback loop between the vaccination decisions of individuals and their health outcomes, and thus payoffs. We find that the two more rational decision-making models have nontrivial impacts on the vaccination behavior of individuals, and, as a result, on the final fraction of infection. Our results highlight that, from an individual’s viewpoint, the decisions are optimal and more rational. However, from the social viewpoint, the strategies of individuals can give rise to distinct outcomes. Namely, the rational

[Factors influencing nurses' organizational citizenship behavior].

Science.gov (United States)

Park, Junhee; Yun, Eunkyung; Han, Sangsook

2009-08-01

This study was conducted to identify the factors that influence nurses' organizational citizenship behavior. A cross-sectional design was used, with a convenience sample of 547 nurses from four university hospitals in Seoul and Gyeonggi province. The data were collected through a questionnaire survey done from September 22 to October 10, 2008. The tools used for this study were scales on organizational citizenship behavior (14 items), self-leadership (14 items), empowerment (10 items), organizational commitment (7 items), job satisfaction (8 items) and transformational.transactional leadership (14 items). Cronbach's alpha and factor analysis were examined to test reliability and construct validity of the scale. The data collected were processed using SPSS Window 15.0 Program for actual numbers and percentages, differences in the dependent variable according to general characteristics, and means, standard deviations, correlation coefficients and multiple regression analysis. The factors influencing nurses' organizational citizenship behavior were identified as self-leadership(beta=.247), empowerment (beta=.233), job satisfaction (beta=.209), organizational commitment (beta=.158), and transactional leadership (beta=.142). Five factors explained 42.0% of nurses' organizational citizenship behavior. The results of this study can be used to develop further management strategies for enhancement of nurses' organizational citizenship behavior.

Three-Dimensional Cell Behavior in Microgels

Science.gov (United States)

Bhattacharjee, Tapomoy; Palmer, Glyn; Ghivizzani, Steven; Keselowsky, Benjamin; Sawyer, W. Gregory; Angelini, Thomas

The number of dimensions in which particles can freely move strongly influences the collective behavior that emerges from their individual fluctuations. Thus, in 2D systems of cells in petri-dishes, our growing understanding of collective migration may be insufficient to explain cell behavior in 3D tissues. To study cell behavior in 3D, polymer scaffolds are used. Contemporary designs of 3D cell growth scaffolds enable cell migration and proliferative expansion by incorporating of degradable motifs. Matrix degradation creates space for cells to move and proliferate. However, different cell types and experimental conditions require the design of different scaffolds to optimize degradation with specific cell behaviors. By contrast, liquid like solids made from packed microgels can yield under cell generated stresses, allowing for cell motion without the need for scaffold degradation. Moreover, the use of microgels as 3D culture media allows arranging cells in arbitrary structures, harvesting cells, and delivering drugs and nutrients. Preliminary data describing cell behavior in 3D microgel culture will be presented. This material is based on work supported by the National Science Foundation under Grant No. DMR-1352043.

Pollen Processing Behavior of Heliconius Butterflies: A Derived Grooming Behavior

Science.gov (United States)

Hikl, Anna-Laetitia; Krenn, Harald W.

2011-01-01

Pollen feeding behaviors Heliconius and Laparus (Lepidoptera: Nymphalidae) represent a key innovation that has shaped other life history traits of these neotropical butterflies. Although all flower visiting Lepidoptera regularly come in contact with pollen, only Heliconius and Laparus butterflies actively collect pollen with the proboscis and subsequently take up nutrients from the pollen grains. This study focused on the behavior of pollen processing and compared the movement patterns with proboscis grooming behavior in various nymphalid butterflies using video analysis. The proboscis movements of pollen processing behavior consisted of a lengthy series of repeated coiling and uncoiling movements in a loosely coiled proboscis position combined with up and down movements and the release of saliva. The proboscis-grooming behavior was triggered by contamination of the proboscis in both pollen feeding and non-pollen feeding nymphalid butterflies. Proboscis grooming movements included interrupted series of coiling and uncoiling movements, characteristic sideways movements, proboscis lifting, and occasionally full extension of the proboscis. Discharge of saliva was more pronounced in pollen feeding species than in non-pollen feeding butterfly species. We conclude that the pollen processing behavior of Heliconius and Laparus is a modified proboscis grooming behavior that originally served to clean the proboscis after contamination with particles. PMID:22208893

A Mobile Computing Solution for Collecting Functional Analysis Data on a Pocket PC

Science.gov (United States)

Jackson, James; Dixon, Mark R

2007-01-01

The present paper provides a task analysis for creating a computerized data system using a Pocket PC and Microsoft Visual Basic. With Visual Basic software and any handheld device running the Windows Moble operating system, this task analysis will allow behavior analysts to program and customize their own functional analysis data-collection system. The program will allow the user to select the type of behavior to be recorded, choose between interval and frequency data collection, and summarize data for graphing and analysis. We also provide suggestions for customizing the data-collection system for idiosyncratic research and clinical needs. PMID:17624078

Speech Versus Action in Environmentally Responsible Behavior

Directory of Open Access Journals (Sweden)

Amanna Ferreira Peixoto

2013-12-01

Full Text Available The need of rethinking the consumption culture in contemporary society brings up the interest in researching how consumption habits are related to environmental preservation. Even though sustainable practices are valuable, the comparison amid how people act as consumers and their assumed ethical stance raises questions. Consumers advocate a concern for environmental issues but research shows that their consumption habits are still old fashioned. This study target the convergence and divergence between environmentally responsible speech and consumption behavior under the perspective of theories of action (Argyris, Putnam & Smith, 1985. Research utilized in-depth interviews and self-reports, using a logbook, to collect information about environmentally responsible discourse and consumption behavior of 11 participants. Data collection and analysis explore dimensions of environmentally responsible behavior (Stern, 1999, 2000: personal domain; behavioral domain; contextual domain; personal capabilities; and habits & routines. Results suggest that environmentally responsible behavior is not always consistent with the discourse due to influence of motivational issues (impotence, lack of interest, sacrifice, and convenience and contextual issues (financial situation, lack of public policies, time constraints, and culture.

Using Direct Behavior Rating--Single Item Scales to Assess Student Behavior within Multi-Tiered Systems of Support

Science.gov (United States)

Miller, Faith G.; Patwa, Shamim S.; Chafouleas, Sandra M.

2014-01-01

An increased emphasis on collecting and using data in schools has occurred, in part, because of the implementation of multi-tiered systems of support (MTSS). Commonly referred to as response to intervention in the academic domain and school-wide positive behavioral interventions and supports in the behavioral domain, these initiatives have a…

Collective Intelligence. Chapter 17

Science.gov (United States)

Wolpert, David H.

2003-01-01

Many systems of self-interested agents have an associated performance criterion that rates the dynamic behavior of the overall system. This chapter presents an introduction to the science of such systems. Formally, collectives are defined as any system having the following two characteristics: First, the system must contain one or more agents each of which we view as trying to maximize an associated private utility; second, the system must have an associated world utility function that rates the possible behaviors of that overall system. In practice, collectives are often very large, distributed, and support little, if any, centralized communication and control, although those characteristics are not part of their formal definition. A naturally occurring example of a collective is a human economy. One can identify the agents and their private utilities as the human individuals in the economy and the associated personal rewards they are each trying to maximize. One could then identify the world utility as the time average of the gross domestic product. ("World utility" per se is not a construction internal to a human economy, but rather something defined from the outside.) To achieve high world utility it is necessary to avoid having the agents work at cross-purposes lest phenomena like liquidity traps or the Tragedy of the Commons (TOC) occur, in which agents' individually pursuing their private utilities lowers world utility. The obvious way to avoid such phenomena is by modifying the agents utility functions to be "aligned" with the world utility. This can be done via punitive legislation. A real-world example of an attempt to do this was the creation of antitrust regulations designed to prevent monopolistic practices.

On the Evolution of Behaviors through Embodied Imitation.

Science.gov (United States)

Erbas, Mehmet D; Bull, Larry; Winfield, Alan F T

2015-01-01

This article describes research in which embodied imitation and behavioral adaptation are investigated in collective robotics. We model social learning in artificial agents with real robots. The robots are able to observe and learn each others' movement patterns using their on-board sensors only, so that imitation is embodied. We show that the variations that arise from embodiment allow certain behaviors that are better adapted to the process of imitation to emerge and evolve during multiple cycles of imitation. As these behaviors are more robust to uncertainties in the real robots' sensors and actuators, they can be learned by other members of the collective with higher fidelity. Three different types of learned-behavior memory have been experimentally tested to investigate the effect of memory capacity on the evolution of movement patterns, and results show that as the movement patterns evolve through multiple cycles of imitation, selection, and variation, the robots are able to, in a sense, agree on the structure of the behaviors that are imitated.

Collective Psychological Ownership and Intergroup Relations.

Science.gov (United States)

Verkuyten, Maykel; Martinovic, Borja

2017-11-01

Whereas much social psychological research has studied the in-group and out-group implications of social categorization and collective identity ("we"), little research has examined the nature and relevance of collective psychological ownership ("ours") for intergroup relations. We make a case for considering collective psychological ownership as an important source of intergroup tensions. We do so by integrating theory and research from various social sciences, and we draw out implications for future social psychological research on intergroup relations. We discuss collective psychological ownership in relation to the psychology of possessions, marking behavior, intergroup threats, outgroup exclusion, and in-group responsibility. We suggest that the social psychological processes discussed apply to a range of ownership objects (territory, buildings, cultural artifacts) and various intergroup settings, including international, national, and local contexts, and in organizations and communities. We conclude by providing directions for future research in different intergroup contexts.

A Theory of Planned Behavior Research Model for Predicting the Sleep Intentions and Behaviors of Undergraduate College Students

Science.gov (United States)

Knowlden, Adam P.; Sharma, Manoj; Bernard, Amy L.

2012-01-01

The purpose of this study was to operationalize the constructs of the Theory of Planned Behavior (TPB) to predict the sleep intentions and behaviors of undergraduate college students attending a Midwestern University. Data collection spanned three phases. The first phase included a semi-structured qualitative interview (n = 11), readability by…

Embodied Evolution in Collective Robotics: A Review

Directory of Open Access Journals (Sweden)

Nicolas Bredeche

2018-02-01

Full Text Available This article provides an overview of evolutionary robotics techniques applied to online distributed evolution for robot collectives, namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. This article also presents a comprehensive summary of research published in the field since its inception around the year 2000, providing various perspectives to identify the major trends. In particular, we identify a shift from considering embodied evolution as a parallel search method within small robot collectives (fewer than 10 robots to embodied evolution as an online distributed learning method for designing collective behaviors in swarm-like collectives. This article concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research.

Using Videoconferencing to Conduct Functional Analysis of Challenging Behavior and Develop Classroom Behavioral Support Plans for Students with Autism

Science.gov (United States)

Machalicek, Wendy; O'Reilly, Mark; Chan, Jeffrey M.; Lang, Russell; Rispoli, Mandy; Davis, Tonya; Shogren, Karrie; Sigafoos, Jeff; Lancioni, Giulio; Antonucci, Massimo; Langthorne, Paul; Andrews, Alonzo; Didden, Robert

2009-01-01

We conducted a functional analysis of challenging behavior for two students with autism using widely available videoconferencing equipment (laptop computers equipped with web cameras). Observers used the videoconferencing facilities to collect data on challenging behavior and to instruct the therapist conducting the assessment. Results of the…

Collective excitations in a superfluid of color-flavor locked quark matter

International Nuclear Information System (INIS)

Fukushima, Kenji; Iida, Kei

2005-01-01

We investigate collective excitations coupled with baryon density in a system of massless three-flavor quarks in the collisionless regime. By using the Nambu-Jona-Lasinio (NJL) model in the mean-field approximation, we field-theoretically derive the spectra both for the normal and color-flavor locked (CFL) superfluid phases at zero temperature. In the normal phase, we obtain usual zero sound as a low-lying collective mode in the particle-hole (vector) channel. In the CFL phase, the nature of collective excitations varies in a way dependent on whether the excitation energy, ω, is larger or smaller than the threshold given by twice the pairing gap Δ, at which pair excitations with nonzero total momentum become allowed to break up into two quasiparticles. For ω H =1/√(3) in the low momentum regime; the decay constant f H obtained in the NJL model is identical with the QCD result obtained in the mean-field approximation. We also find that, as the momentum of the phonon increases, the excitation energy goes up and asymptotically approaches ω=2Δ. Above the threshold for pair excitations (ω>2Δ), zero sound manifests itself in the vector channel. By locating the zero sound pole of the vector propagator in the complex energy plane, we investigate the attenuation and energy dispersion relation of zero sound. In the long wavelength limit, the phonon mode, the only low-lying excitation, has its spectral weight in the H channel alone, while the spectral function vanishes in the vector channel. This is due to nontrivial mixing between the H and vector channels in the superfluid medium. We finally extend our study to the case of nonzero temperature. We demonstrate how Landau damping smears the phonon peak in the finite temperature spectral function. We find a pure imaginary pole of the H propagator in the complex energy plane, which can be identified as a diffusive mode responsible for the Landau damping. From the pole position we derive the thermal diffusion constant

Modeling collective cell migration in geometric confinement

Science.gov (United States)

Tarle, Victoria; Gauquelin, Estelle; Vedula, S. R. K.; D'Alessandro, Joseph; Lim, C. T.; Ladoux, Benoit; Gov, Nir S.

2017-06-01

Monolayer expansion has generated great interest as a model system to study collective cell migration. During such an expansion the culture front often develops ‘fingers’, which we have recently modeled using a proposed feedback between the curvature of the monolayer’s leading edge and the outward motility of the edge cells. We show that this model is able to explain the puzzling observed increase of collective cellular migration speed of a monolayer expanding into thin stripes, as well as describe the behavior within different confining geometries that were recently observed in experiments. These comparisons give support to the model and emphasize the role played by the edge cells and the edge shape during collective cell motion.

Nontrivial Pfaffian forms in cosmology

International Nuclear Information System (INIS)

Lukacs, B.; Paal, G.

1989-01-01

The compatibility of possible continuous cosmological particle production with thermodynamics was studied. It was found that with the usual K=2 Pfaffian (dQ=TdS) the compatibility held only in very special cases. K≥3 Pfaffians could easily be reconciled with continuous production. Since in this case the full thermodynamic state space was accessible by quasistatic adiabatic processes, such systems showed local rather than global irreversibility. This fact may prevent Heat Death even in indefinitely old model Universes. (author) 36 refs

77 FR 2066 - Proposed Data Collections Submitted for Public Comment and Recommendations

Science.gov (United States)

2012-01-13

... current levels of behaviors that may facilitate HIV transmission: sexual and drug use behaviors; patients... DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention [60Day-12-0740... of HIV Disease (ASD). Both projects stopped data collection in 2004. Although CDC receives...

Chemical Characterization and Behavior of Respirable Fractions of Indoor Dusts Collected Near a Landfill Facility

Directory of Open Access Journals (Sweden)

Rheo B. Lamorena-Lim

2016-06-01

Full Text Available The study aims to determine the inorganic and organic phases in airborne particulate matter (PM collected near a landf ill facility. The establishments within the vicinity of the landfill considered in the study were a junk shop, a school, and a money changer shop. From the elemental analysis using inductively-coupled plasma mass spectrometry (ICP-MS, lead and cadmium were discovered to be more abundant in the total suspended particulate (TSP fraction, whereas copper was more abundant in the smaller PM2.5. Manganese, arsenic, strontium, cadmium, and lead were more abundant in the PM10 fraction than in PM2.5. The results of the chemical characterization were compiled and evaluated in a geochemical modelling code (PHREEQC to determine the potential speciation of these chemical constituents. Solution complexes of As, Pb, Cd and phthalates, and metal species, such as H2AsO3- , Cd2OH3+, Pb(OH3-, were predicted to form by the PHREEQC simulation runs once the endmember components interact with water. The results contribute to the background information on the potential impacts from exposure to airborne PM at workplaces around landfill facilities. Moreover, the data gathered provide a baseline for the chemical characterization and behavior of chemical constituents of PM possibly present in this specific type of environment.

Behavior genetics: Bees as model

International Nuclear Information System (INIS)

Nates Parra, Guiomar

2011-01-01

The honeybee Apis mellifera (Apidae) is a model widely used in behavior because of its elaborate social life requiring coordinate actions among the members of the society. Within a colony, division of labor, the performance of tasks by different individuals, follows genetically determined physiological changes that go along with aging. Modern advances in tools of molecular biology and genomics, as well as the sequentiation of A. mellifera genome, have enabled a better understanding of honeybee behavior, in particular social behavior. Numerous studies show that aspects of worker behavior are genetically determined, including defensive, hygienic, reproductive and foraging behavior. For example, genetic diversity is associated with specialization to collect water, nectar and pollen. Also, control of worker reproduction is associated with genetic differences. In this paper, I review the methods and the main results from the study of the genetic and genomic basis of some behaviors in bees.

Collective strategies and cyclic dominance in asymmetric predator-prey spatial games.

Science.gov (United States)

Cazaubiel, Annette; Lütz, Alessandra F; Arenzon, Jeferson J

2017-10-07

Predators may attack isolated or grouped prey in a cooperative, collective way. Whether a gregarious behavior is advantageous to each species depends on several conditions and game theory is a useful tool to deal with such a problem. We here extend the Lett et al. (2004) to spatially distributed populations and compare the resulting behavior with their mean-field predictions for the coevolving densities of predator and prey strategies. Besides its richer behavior in the presence of spatial organization, we also show that the coexistence phase in which collective and individual strategies for each group are present is stable because of an effective, cyclic dominance mechanism similar to a well-studied generalization of the Rock-Paper-Scissors game with four species, a further example of how ubiquitous this coexistence mechanism is. Copyright © 2017 Elsevier Ltd. All rights reserved.

Collectively Facilitated Behavior of the Neonate Caterpillars of Cactoblastis cactorum (Lepidoptera: Pyralidae

Directory of Open Access Journals (Sweden)

Terrence D. Fitzgerald

2016-10-01

Full Text Available The behavioral biology of the first instar larva of Cactoblastis cactorum was studied from the time of eclosion until the colony penetrated and initiated excavation of the host plant. Hatching from an egg stick was asynchronous, requiring 20 h for the entire cohort to eclose at 50%–70% RH and significantly longer at a lower range of RHs. On eclosion, neonates aggregated in an arena at the base of their egg stick and did not attempt to excavate the cladode until an average of 25 caterpillars had collected, approximately 15 h after the onset of egg hatch. Typically only a single entrance hole was formed, limiting the active process of excavating to one or a few individuals at-a-time until the host was fully penetrated and enlarged internally. Olfactometer tests showed that the neonates are strongly attracted to volatile chemicals released when caterpillars chewed into the cladode, accounting for the strong fidelity of the whole cohort to the initial site of penetration. In one instance, the caterpillars were observed to deal with an explosive release of mucilage by imbibing the liquid until the flooded zone was drained and the caterpillars could reenter the plant through the original entrance hole. Once inside the cladode, marked individuals adopted a regular cycle of defecating at the surface at a mean interval of approximately 10 min when followed for 35 successive cycles. Blanket spraying cladodes with a mandibular gland extract prior to hatching led to the independent dispersal of neonates and a failure to form an arena. When the cladode was impenetrable at the site of eclosion, the active cohort of unfed neonates set off together in search of a new site, marking and following a persistent trail that allowed late-to-eclose caterpillars to join their departed siblings. The adaptive significance of these observations is discussed in the context of the life history of the caterpillar.

Relativistic collective diffusion in one-dimensional systems

Science.gov (United States)

Lin, Gui-Wu; Lam, Yu-Yiu; Zheng, Dong-Qin; Zhong, Wei-Rong

2018-05-01

The relativistic collective diffusion in one-dimensional molecular system is investigated through nonequilibrium molecular dynamics with Monte Carlo methods. We have proposed the relationship among the speed, the temperature, the density distribution and the collective diffusion coefficient of particles in a relativistic moving system. It is found that the relativistic speed of the system has no effect on the temperature, but the collective diffusion coefficient decreases to zero as the velocity of the system approaches to the speed of light. The collective diffusion coefficient is modified as D‧ = D(1 ‑w2 c2 )3 2 for satisfying the relativistic circumstances. The present results may contribute to the understanding of the behavior of the particles transport diffusion in a high speed system, as well as enlighten the study of biological metabolism at relativistic high speed situation.

Determinants of prosocial behavior in included versus excluded contexts

Directory of Open Access Journals (Sweden)

Esther eCuadrado

2016-01-01

Full Text Available Prosocial behavior is increasingly becoming necessary as more and more individuals experience exclusion. In this context it is important to understand the motivational determinants of prosocial behavior. Here we report two experiments which analyzed the influence of dispositional (prosocialness; rejection sensitivity and motivational variables (prosocial self-efficacy; prosocial collective efficacy; trust; anger; social affiliation motivation on prosocial behavior under neutral contexts (Study 1, and once under inclusion or exclusion conditions (Study 2. Both studies provided evidence for the predicted mediation of prosocial behavior. Results in both neutral and inclusion and exclusion conditions supported our predictive model of prosocial behavior. In the model dispositional variables predicted motivational variables, which in turn predicted prosocial behavior. We showed that the investigated variables predicted prosocial behavior; this suggests that to promote prosocial behavior one could (1 foster prosocialness, prosocial self and collective efficacy, trust in others and affiliation motivation and (2 try to reduce negative feelings and the tendency to dread rejection in an attempt to reduce the negative impact that these variables have on prosocial behavior. Moreover, the few differences that emerged in the model between the inclusion and exclusion contexts suggested that in interventions with excluded individuals special care emphasis should be placed on addressing rejection sensitivity and lack of trust.

ESF collection effectiveness, a study in fine particle dynamics

International Nuclear Information System (INIS)

Winegardner, W.K.; Owczarski, P.C.

1985-04-01

The characterization and dynamic behavior of fine particles are the main subjects of an ongoing investigation of the particle collection effectiveness of the engineered safety feature (ESF) systems in nuclear power plants. This investigation is part of a larger study of the release of radionuclides to the environment from such plants during postulated accidents that are severe but extremely unlikely. The ESF systems are installed to prevent the occurrence of severe accidents or mitigate their consequences. Several of these engineered systems can serve as particle collection devices. This report focuses on the analytical models that were developed to predict particle behavior in two systems that were not specifically designed for particle retention: the ice compartments of ice condenser containment systems in Pressurized Water Reactors (PWRs) and the suppression pools of Boiling Water Reactors (BWRs). The following section summarizes the topics considered in the development of models and computer codes for estimating the particle retention effectiveness of these two ESF systems. After the summary this paper describes the two ESF systems in more detail and discusses the behavior of particles in both situations

Collective spin waves on a nanowire array with step-modulated thickness

International Nuclear Information System (INIS)

Gubbiotti, G; Tacchi, S; Kostylev, M; Ivanov, E; Samarin, S; Madami, M; Carlotti, G; Ding, J; Adeyeye, A O; Zighem, F; Stashkevich, A A

2014-01-01

It is shown experimentally that collective Bloch spin waves are able to propagate in a dense periodic array of nanowires with step-modulated thickness along the periodicity direction. The spin wave dispersion (frequency versus wave vector k) was measured using the Brillouin light scattering technique by sweeping the wave vector perpendicularly to the wire length. Remarkably, the mode measured at the lowest frequency exhibits an oscillating dispersion and its frequency is up-shifted with respect to the homogeneous-thickness wires of the same width. The modes located at higher frequencies have negligible dependencies on the wave number, i.e. are practically dispersionless. Complementary ferromagnetic resonance measurements enabled us to independently measure the whole set of modes at k = 0, showing a good agreement with the Brillouin light scattering data. These results have been successfully reproduced in a numerical simulation employing a two-dimensional Green's function description of the dynamic dipole field of the precessing magnetization. The theory also allowed visualizing the non-trivial distribution of dynamic magnetization across the wire cross-section and estimating the Brillouin light scattering cross-section. The analysis of these intensities suggests complicated magneto-optical coupling between the light and the dynamic magnetization in the arrays of nanowires with step-modulated thickness. This work can stimulate the design, tailoring, and characterization of three-dimensional magnonic crystals. (paper)

Alcohol self-control behaviors of adolescents.

Science.gov (United States)

Glassman, Tavis; Werch, Chudley Chad; Jobli, Edessa

2007-03-01

The aims of the present study were to: (1) factor analyze a 13-item adolescent alcohol self-control behavior scale, (2) examine associations between frequency of self-control behavior use and alcohol consumption, and (3) to determine which self-control behaviors best predict alcohol use and consequences. A confidential standardized survey was used to collect data on participant's 30-day frequency, quantity, and heavy use of alcohol; alcohol-related consequences; and alcohol self-control behaviors. A principal component factor analysis produced the following three components: Healthy Alternatives (alpha=.81), Self-regulation (alpha=.72), and Assertive Communication (alpha=.73). MANOVAs indicated strong associations between frequency of use of the three types of self-control behaviors and alcohol consumption (p valuesadolescents, followed by Healthy Alternatives.

Online Behavioral Advertising: A Literature Review and Research Agenda

NARCIS (Netherlands)

Boerman, S.C.; Kruikemeier, S.; Zuiderveen Borgesius, F.J.

2017-01-01

Advertisers are increasingly monitoring people's online behavior and using the information collected to show people individually targeted advertisements. This phenomenon is called online behavioral advertising (OBA). Although advertisers can benefit from OBA, the practice also raises concerns about

Repeated embryo collection and interspecies transfer in alpacas and llamas during non-breeding season

OpenAIRE

Pacheco J; Tollig S; Von Walter AW; Pezo D; Velez V

2015-01-01

Sexual behavior evaluation was evaluated, collecting and interspecies embryo transfer inter species in llamas and alpacas during non-breeding season, 10 and 10 donor alpacas llamas, alpacas and 20 receiving 20 llamas, 5 alpacas and 5 llamas males were used. Sexual behavior by libido in males and acceptance of female to male in the presence of a dominant follicle was evaluated, the collection of embryos simple ovulation by non-surgical technique was performed and the fresh embryos are transfer...

Leader identity as an antecedent of the frequency and consistency of transformational, consideration, and abusive leadership behaviors.

Science.gov (United States)

Johnson, Russell E; Venus, Merlijn; Lanaj, Klodiana; Mao, Changguo; Chang, Chu-Hsiang

2012-11-01

Drawing from identity-based theories of leadership, we examined relations of leader identity with leader behavior and perceived effectiveness. To do so, we employed multiwave methodology to examine the differential impact of leaders' chronic collective, relational, and individual identities on the frequency and consistency of their subsequent transformational, consideration, and abusive behaviors over a 3-week period. We also examined the relative importance of these leadership behaviors for predicting perceived leader effectiveness as rated by subordinates and peers. Results indicated that leaders' collective and individual identities were uniquely related to transformational and abusive behaviors, respectively. We also observed a significant collective by individual identity interaction, such that abusive behaviors were most frequent when a strong individual identity was paired with a weak collective identity. Frequency of transformational behaviors accounted for the largest proportion of variance in perceived leader effectiveness, followed by frequency of abusive behaviors and consistency of transformational behaviors. We discuss the implications of these findings for leadership theory and development. (c) 2012 APA, all rights reserved.

Data Mining and Visualization of Large Human Behavior Data Sets

DEFF Research Database (Denmark)

Cuttone, Andrea

and credit card transactions – have provided us new sources for studying our behavior. In particular smartphones have emerged as new tools for collecting data about human activity, thanks to their sensing capabilities and their ubiquity. This thesis investigates the question of what we can learn about human...... behavior from this rich and pervasive mobile sensing data. In the first part, we describe a large-scale data collection deployment collecting high-resolution data for over 800 students at the Technical University of Denmark using smartphones, including location, social proximity, calls and SMS. We provide...... an overview of the technical infrastructure, the experimental design, and the privacy measures. The second part investigates the usage of this mobile sensing data for understanding personal behavior. We describe two large-scale user studies on the deployment of self-tracking apps, in order to understand...

Collective synchronization states in arrays of driven colloidal oscillators

International Nuclear Information System (INIS)

Lhermerout, Romain; Bruot, Nicolas; Kotar, Jurij; Cicuta, Pietro; Cicuta, Giovanni M

2012-01-01

The phenomenon of metachronal waves in cilia carpets has been well known for decades; these waves are widespread in biology, and have fundamental physiological importance. While it is accepted that in many cases cilia are mainly coupled together by the hydrodynamic velocity field, a clear understanding of which aspects determine the collective wave properties is lacking. It is a difficult problem, because both the behavior of the individual cilia and their coupling together are nonlinear. In this work, we coarse-grain the degrees of freedom of each cilium into a minimal description in terms of a configuration-based phase oscillator. Driving colloidal particles with optical tweezers, we then experimentally investigate the coupling through hydrodynamics in systems of many oscillators, showing that a collective dynamics emerges. This work generalizes to a wider class of systems our recent finding that the non-equilibrium steady state can be understood based on the equilibrium properties of the system, i.e. the positions and orientations of the active oscillators. In this model system, it is possible to design configurations of oscillators with the desired collective dynamics. The other face of this problem is to relate the collective patterns found in biology to the architecture and behavior of individual active elements. (paper)

Living bacteria rheology: Population growth, aggregation patterns, and collective behavior under different shear flows

Science.gov (United States)

Patrício, P.; Almeida, P. L.; Portela, R.; Sobral, R. G.; Grilo, I. R.; Cidade, T.; Leal, C. R.

2014-08-01

The activity of growing living bacteria was investigated using real-time and in situ rheology—in stationary and oscillatory shear. Two different strains of the human pathogen Staphylococcus aureus—strain COL and its isogenic cell wall autolysis mutant, RUSAL9—were considered in this work. For low bacteria density, strain COL forms small clusters, while the mutant, presenting deficient cell separation, forms irregular larger aggregates. In the early stages of growth, when subjected to a stationary shear, the viscosity of the cultures of both strains increases with the population of cells. As the bacteria reach the exponential phase of growth, the viscosity of the cultures of the two strains follows different and rich behaviors, with no counterpart in the optical density or in the population's colony-forming units measurements. While the viscosity of strain COL culture keeps increasing during the exponential phase and returns close to its initial value for the late phase of growth, where the population stabilizes, the viscosity of the mutant strain culture decreases steeply, still in the exponential phase, remains constant for some time, and increases again, reaching a constant plateau at a maximum value for the late phase of growth. These complex viscoelastic behaviors, which were observed to be shear-stress-dependent, are a consequence of two coupled effects: the cell density continuous increase and its changing interacting properties. The viscous and elastic moduli of strain COL culture, obtained with oscillatory shear, exhibit power-law behaviors whose exponents are dependent on the bacteria growth stage. The viscous and elastic moduli of the mutant culture have complex behaviors, emerging from the different relaxation times that are associated with the large molecules of the medium and the self-organized structures of bacteria. Nevertheless, these behaviors reflect the bacteria growth stage.

78 FR 33094 - Proposed Data Collections Submitted for Public Comment and Recommendations

Science.gov (United States)

2013-06-03

... the individual. However, models such as the socioecological model suggest that health and behavior are.... Characteristics of the environment can support or discourage the choices individuals make. Within communities, the... healthy food and healthy eating. Data will be collected using a secure, web-based survey data collection...

Scaling Climate Change Communication for Behavior Change

Science.gov (United States)

Rodriguez, V. C.; Lappé, M.; Flora, J. A.; Ardoin, N. M.; Robinson, T. N.

2014-12-01

Ultimately, effective climate change communication results in a change in behavior, whether the change is individual, household or collective actions within communities. We describe two efforts to promote climate-friendly behavior via climate communication and behavior change theory. Importantly these efforts are designed to scale climate communication principles focused on behavior change rather than soley emphasizing climate knowledge or attitudes. Both cases are embedded in rigorous evaluations (randomized controlled trial and quasi-experimental) of primary and secondary outcomes as well as supplementary analyses that have implications for program refinement and program scaling. In the first case, the Girl Scouts "Girls Learning Environment and Energy" (GLEE) trial is scaling the program via a Massive Open Online Course (MOOC) for Troop Leaders to teach the effective home electricity and food and transportation energy reduction programs. The second case, the Alliance for Climate Education (ACE) Assembly Program, is advancing the already-scaled assembly program by using communication principles to further engage youth and their families and communities (school and local communities) in individual and collective actions. Scaling of each program uses online learning platforms, social media and "behavior practice" videos, mastery practice exercises, virtual feedback and virtual social engagement to advance climate-friendly behavior change. All of these communication practices aim to simulate and advance in-person train-the-trainers technologies.As part of this presentation we outline scaling principles derived from these two climate change communication and behavior change programs.

Terrorism and the behavioral sciences.

Science.gov (United States)

Schouten, Ronald

2010-01-01

Terrorism has existed for millennia and is a phenomenon well-known to many parts of the world. Americans were forced to recognize this phenomenon, and our vulnerability to it, by two sets of events in 2001: the attacks on New York City and Washington, DC, and the anthrax mailings that followed shortly thereafter. Psychiatry, psychology, and other behavioral and social sciences have been looked to for assistance in collecting and analyzing intelligence data, understanding terrorism, and developing strategies to combat terrorism. In addition to reviewing areas in which the behavioral sciences have made contributions in addressing this problem, this article discusses the developing roles for behavioral scientists in this field.

Privacy exposed : Consumer responses to data collection and usage practices of mobile apps

NARCIS (Netherlands)

Wottrich, V.M.

2018-01-01

Mobile apps are increasingly jeopardizing consumer privacy by collecting, storing, and sharing personal information. However, little is known about users’ responses to data collection and usage practices of apps. This dissertation investigated (1) the status quo of privacy protection behavior, (2)

Collection and use of individual behavioral and consumption rate data to improve reconstruction of thyroid doses from nuclear weapons tests in Kazakhstan

International Nuclear Information System (INIS)

Drozdovitch, Vladimir; Schonfeld, Sara; Bouville, Andre; Land, Charles; Luckyanov, Nick; Simon, Steven L.; Schwerin, Michael

2008-01-01

Full text: Historical behavioral and consumption rate data were collected from residents of Kazakhstan exposed to nuclear weapons testing fallout using a focus group data collection strategy. These data will enable improved thyroid dose estimation in a radiation epidemiological study being carried out the U.S. National Cancer Institute. The study on the relationship of radiation exposure from weapons testing fallout and thyroid disease in a cohort of 2,994 subjects is now in a stage of improving earlier dose estimates based on individual information collected from a basic questionnaire administered to the study population in 1998. The study subjects of both Kazakh and Russian origin were exposed during childhood to radioactive fallout from nuclear weapons tests conducted at the Semipalatinsk Nuclear Test Site between 1949 and 1962. Due to the long time since exposure, a well developed strategy is necessary to encourage accurate memory recall. Limitations of the data collected in 1998 suggested the need to obtain reliable information that is tailored specific to the requirements of the dose reconstruction algorithm and to the evaluation of individual dose uncertainties. Focus group data collection in Kazakhstan in 2007 involved four 8-person focus groups (three of women and one of men) in each of four exposed settlements where thyroid disease screening was conducted in 1998. Age-specific data on relevant childhood behaviour, including time spent indoors and consumption of milk and other dairy products from cows, goats, horses, and sheep, were collected from women's groups. Men's focus groups were interviewed about construction materials of houses and schools as well as animal grazing patterns and supplemental feed to animals. Information obtained from the focus groups are being used to derive the settlement-, ethnicity-, age-, and gender-specific (where appropriate) probability density distributions on individual consumption rates of milk and dairy products

Collective search by ants in microgravity

Directory of Open Access Journals (Sweden)

Stefanie M. Countryman

2015-03-01

Full Text Available The problem of collective search is a tradeoff between searching thoroughly and covering as much area as possible. This tradeoff depends on the density of searchers. Solutions to the problem of collective search are currently of much interest in robotics and in the study of distributed algorithms, for example to design ways that without central control robots can use local information to perform search and rescue operations. Ant colonies operate without central control. Because they can perceive only local, mostly chemical and tactile cues, they must search collectively to find resources and to monitor the colony's environment. Examining how ants in diverse environments solve the problem of collective search can elucidate how evolution has led to diverse forms of collective behavior. An experiment on the International Space Station in January 2014 examined how ants (Tetramorium caespitum perform collective search in microgravity. In the ISS experiment, the ants explored a small arena in which a barrier was lowered to increase the area and thus lower ant density. In microgravity, relative to ground controls, ants explored the area less thoroughly and took more convoluted paths. It appears that the difficulty of holding on to the surface interfered with the ants’ ability to search collectively. Ants frequently lost contact with the surface, but showed a remarkable ability to regain contact with the surface.

Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media

Science.gov (United States)

Bail, Christopher A.

2017-01-01

Social media websites such as Facebook and Twitter provide an unprecedented amount of qualitative data about organizations and collective behavior. Yet these new data sources lack critical information about the broader social context of collective behavior--or protect it behind strict privacy barriers. In this article, I introduce social media…

Collective cell motion in endothelial monolayers

International Nuclear Information System (INIS)

Szabó, A; Ünnep, R; Méhes, E; Czirók, A; Twal, W O; Argraves, W S; Cao, Y

2010-01-01

Collective cell motility is an important aspect of several developmental and pathophysiological processes. Despite its importance, the mechanisms that allow cells to be both motile and adhere to one another are poorly understood. In this study we establish statistical properties of the random streaming behavior of endothelial monolayer cultures. To understand the reported empirical findings, we expand the widely used cellular Potts model to include active cell motility. For spontaneous directed motility we assume a positive feedback between cell displacements and cell polarity. The resulting model is studied with computer simulations and is shown to exhibit behavior compatible with experimental findings. In particular, in monolayer cultures both the speed and persistence of cell motion decreases, transient cell chains move together as groups and velocity correlations extend over several cell diameters. As active cell motility is ubiquitous both in vitro and in vivo, our model is expected to be a generally applicable representation of cellular behavior

78 FR 70561 - Proposed Data Collections Submitted for Public Comment and Recommendations

Science.gov (United States)

2013-11-26

...) throughout the United States; these 25 MSAs were chosen based on having high AIDS prevalence. Persons at risk... assessment will provide estimates of (1) Behavior related to the risk of HIV and other sexually transmitted... of this data collection is to monitor behaviors of persons at high risk for infection that are...

Behavioral Targeting—Consumer Tracking

Science.gov (United States)

Srimani, P. K.; Srinivas, A.

2011-12-01

Behavioral targeting is an online marketing method that collects data on the browsing activities of consumers, in order to `target' more relevant online advertising. Behavioral targeting enables marketers to reach in-market consumers and increases the value of publisher inventory. At the heart of behavioral targeting is a learning-based investigation of consumer behaviors. It helps marketers understand consumers' purchase patterns over time, mapping out a customer's activities based not only on a single purchase but also on an annual or even lifetime basis. As marketers increasingly appreciate the importance of customer lifetime value, behavioral targeting can be a foundation for creating a continuous analytical study of consumer trends and patterns. But as behavioural-targeting systems become more sophisticated and invasive, it is vital that the companies behind them are open with users about what is going on, and give them control over their personal information. The aim of this paper is to explore the various tools and techniques of behavioral targeting and its benefits to online marketing. A multiple—case study approach was used for exploring the effectiveness and acceptance of online marketing in the area of the online marketing.

RoRo-LT: social routing with next-place prediction from self-assessment of spatiotemporal routines

NARCIS (Netherlands)

Türkes, Okan; Scholten, Johan; Havinga, Paul J.M.

2013-01-01

Current trend in store-carry-forward fashioned opportunistic networks is towards utilizing social ties in communities. However, keeping social knowledge/network information up-to-date is a non-trivial task due to ever-changing dynamics such as mobility and other human behavior. Therefore,

Time series clustering analysis of health-promoting behavior

Science.gov (United States)

Yang, Chi-Ta; Hung, Yu-Shiang; Deng, Guang-Feng

2013-10-01

Health promotion must be emphasized to achieve the World Health Organization goal of health for all. Since the global population is aging rapidly, ComCare elder health-promoting service was developed by the Taiwan Institute for Information Industry in 2011. Based on the Pender health promotion model, ComCare service offers five categories of health-promoting functions to address the everyday needs of seniors: nutrition management, social support, exercise management, health responsibility, stress management. To assess the overall ComCare service and to improve understanding of the health-promoting behavior of elders, this study analyzed health-promoting behavioral data automatically collected by the ComCare monitoring system. In the 30638 session records collected for 249 elders from January, 2012 to March, 2013, behavior patterns were identified by fuzzy c-mean time series clustering algorithm combined with autocorrelation-based representation schemes. The analysis showed that time series data for elder health-promoting behavior can be classified into four different clusters. Each type reveals different health-promoting needs, frequencies, function numbers and behaviors. The data analysis result can assist policymakers, health-care providers, and experts in medicine, public health, nursing and psychology and has been provided to Taiwan National Health Insurance Administration to assess the elder health-promoting behavior.

Hierarchy and predictability in spontaneous behavior

Science.gov (United States)

Berman, Gordon; Bialek, William; Shaevitz, Joshua

2015-03-01

Animals perform a complex array of behaviors, from changes in body posture to vocalizations to other dynamic outputs. Far from being a disordered collection of actions, however, there is thought to be an intrinsic structure to the set of behaviors and their temporal organization. This structure has often been hypothesized to be hierarchical, with certain behaviors grouped together into modules that interact with other modules at time scales that are long with respect to that of an individual behavior. There have been few measurements, however, showing that a particular animal's behavioral repertoire is organized hierarchically. This has largely resulted from an inability to measure the entirety of an animal's behavioral repertoire or even to definite precisely what a ``behavior'' is. In this talk, I will apply our novel method for mapping the behavioral space of animals to videos of freely-behaving fruit flies (D. melanogaster), showing that the organisms' behavioral repertoire consists of a hierarchically-organized set of stereotyped behaviors. This hierarchical patterning results in the emergence of long time scales of memory in the system, providing insight into the mechanisms of behavioral control and patterning.

Behavioral Advertising: tracking consumers with consent : Consideration of the substantive and procedural role of online contracts and other agreements, consent, and regulation of behavioral advertising in the US and the EU.

OpenAIRE

McGillivray, Kevin

2010-01-01

Technologies have been introduced that allow companies to track consumer browsing online. Behavioral advertising, also referred to as behavioral targeting, is a method of collecting consumer information based on online behavior. From the information collected, by an advertiser, a detailed consumer profile can be created. The consumer profile is designed to provide advertisers with a more accurate picture of the kinds of services or products that a group of users, or a specific user, might b...

Performance of language-coordinated collective systems

DEFF Research Database (Denmark)

Zubek, Julian; Denkiewicz, Michał; Dębska, Agnieszka

2016-01-01

of complex sensory stimuli: that of red wine. Participants were asked to taste, remember and successively recognize samples of wines within a larger set in a two-by-two experimental design: 1) either individually or in pairs, and 2) with or without the support of a sommelier card – a cultural linguistic tool...... designed for wine description. Both effectiveness of recognition and the kinds of errors in the four conditions were analyzed. While our experimental manipulations did not impact recognition accuracy, bias-variance decomposition of error reveals non-trivial differences in how participants solved the task....... Pairs generally displayed reduced bias and increased variance compared to individuals, however the variance dropped significantly when they used the sommelier card. The effect of card reducing the variance was observed only in pairs, individuals did not seem to benefit from the cultural linguistic tool...

Applying a behavioural simulation for the collection of data

DEFF Research Database (Denmark)

Jespersen, Kristina Risom

2005-01-01

To collect real-time data as opposed to retrospective data requires new methodological traits. One possibility is the use of behavioral simulations that synthesize the self-administered questionnaire, experimental designs, role-playing and scenarios. Supported by Web technology this new data...

76 FR 81983 - Agency Information Collection Activities; Submission for OMB Review; Comment Request; Cognitive...

Science.gov (United States)

2011-12-29

... psychological and cognitive aspects of BLS's data collection procedures, including questionnaire design...' Behavioral Science Research Laboratory (BSRL) conducts psychological research focusing on the design and.... BSRL conducts research aimed at improving data collection quality by assessing questionnaire/form...

Fast Food Consumption Behaviors in High-School Students based on the Theory of Planned Behavior (TPB)

OpenAIRE

Kamal Mirkarimi; Morteza Mansourian; Mohammad Javad Kabir; Rahman Berdi Ozouni- Davaji; Maryam Eri; Seyed Ghadir Hosseini; Mostafa Qorbani; Omid Safari; Babak Rastgari Mehr; Mehdi Noroozi; Abdurrahman Charkazi; Hossein Shahnazi

2016-01-01

Background: Studies report inappropriate snack and junk food consumption patterns in children and young adults in Iran. The current survey was aimed to explore fast food consumption behaviors in high-school students based on the Theory of Planned Behavior. Materials and Methods: A cross-sectional study was done among 500 high-school students. Samples were selected based on cluster sampling method at first and simple random at second. Data were collected using a researcher-made questionnaire. ...

Applying the Health Belief Model to college students' health behavior

Science.gov (United States)

Kim, Hak-Seon; Ahn, Joo

2012-01-01

The purpose of this research was to investigate how university students' nutrition beliefs influence their health behavioral intention. This study used an online survey engine (Qulatrics.com) to collect data from college students. Out of 253 questionnaires collected, 251 questionnaires (99.2%) were used for the statistical analysis. Confirmatory Factor Analysis (CFA) revealed that six dimensions, "Nutrition Confidence," "Susceptibility," "Severity," "Barrier," "Benefit," "Behavioral Intention to Eat Healthy Food," and "Behavioral Intention to do Physical Activity," had construct validity; Cronbach's alpha coefficient and composite reliabilities were tested for item reliability. The results validate that objective nutrition knowledge was a good predictor of college students' nutrition confidence. The results also clearly showed that two direct measures were significant predictors of behavioral intentions as hypothesized. Perceived benefit of eating healthy food and perceived barrier for eat healthy food to had significant effects on Behavioral Intentions and was a valid measurement to use to determine Behavioral Intentions. These findings can enhance the extant literature on the universal applicability of the model and serve as useful references for further investigations of the validity of the model within other health care or foodservice settings and for other health behavioral categories. PMID:23346306

Sexual behavior and intention to engage in sexual behavior in junior secondary school students in Hong Kong.

Science.gov (United States)

Shek, D T L

2013-06-01

The present study examined the prevalence, changes, and demographic as well as psychosocial correlates of sexual behavior and intention to engage in sexual behavior in early adolescents in Hong Kong, with sexual behavior indexed by sexual intercourse. Three waves of longitudinal data on sexual intercourse, intention to engage in sexual intercourse, family functioning, and positive youth development were collected from 28 secondary schools in Hong Kong. There were significant influences of grade and gender on adolescent sexual behavior or intention to engage in sexual behavior. Significant main effects of immigration status on sexual behavior were also found. While no effect of family economic background was found, effect of family intactness existed for sexual behavior. Family functioning and positive youth development at Grade 7 were negatively associated with students' sexual behavior and intention to engage in sexual behavior at Grade 9. Grade, gender, immigration status, and family intactness were related to sexual behavior and/or intention to engage in sexual behavior in junior secondary school students. Promoting positive youth development and family functioning could serve as protective factors to reduce sexual behavior and intention to engage in sexual behavior in Chinese early adolescents in Hong Kong. Copyright © 2013 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.

The power of collective ambition.

Science.gov (United States)

Ready, Douglas A; Truelove, Emily

2011-12-01

In the past few years, some companies have not just weathered the economic storm: They've emerged stronger than ever. How did such players as Four Seasons, Sephora, and Standard Chartered Bank defy conventional logic? Instead of pursuing a single ambition, such as profits, employees defined a collective ambition. As a result, those organizations deepened their engagement with employees and other stakeholders and became sustainably profitable. Purpose, a company's reason for existence, is the central element of collective ambition. The other elements--vision, targets and milestones, strategic and operational priorities, brand promise, core values, and leader behaviors--must be aligned to serve the company's purpose. Articulating the elements of collective ambition can give everyone in the organization a better sense of the company's purpose and how they can contribute to it. Purpose does not have to be about saving the world; providing excellent entertainment or banking services is just as meaningful a purpose as improving health care in emerging economies--as long as it is an authentic representation of why the company exists. To shape and then achieve a collective ambition, companies must strengthen their organizational glue (the collaborative engagement that creates a unified culture) and grease (the disciplined execution that enterprisewide change initiatives require).

Collective (Team) Learning Process Models: A Conceptual Review

Science.gov (United States)

Knapp, Randall

2010-01-01

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

Biomimetic water-collecting materials inspired by nature.

Science.gov (United States)

Zhu, Hai; Guo, Zhiguang; Liu, Weimin

2016-03-11

Nowadays, water shortage is a severe issue all over the world, especially in some arid and undeveloped areas. Interestingly, a variety of natural creatures can collect water from fog, which can provide a source of inspiration to develop novel and functional water-collecting materials. Recently, as an increasingly hot research topic, bioinspired materials with the water collection ability have captured vast scientific attention in both practical applications and fundamental research studies. In this review, we summarize the mechanisms of water collection in various natural creatures and present the fabrications, functions, applications, and new developments of bioinspired materials in recent years. The theoretical basis related to the phenomenon of water collection containing wetting behaviors and water droplet transportations is described in the beginning, i.e., the Young's equation, Wenzel model, Cassie model, surface energy gradient model and Laplace pressure equation. Then, the water collection mechanisms of three typical and widely researched natural animals and plants are discussed and their corresponding bioinspired materials are simultaneously detailed, which are cactus, spider, and desert beetles, respectively. This is followed by introducing another eight animals and plants (butterfly, shore birds, wheat awns, green bristlegrass, the Cotula fallax plant, Namib grass, green tree frogs and Australian desert lizards) that are rarely reported, exhibiting water collection properties or similar water droplet transportation. Finally, conclusions and outlook concerning the future development of bioinspired fog-collecting materials are presented.

Longitudinal Associations of Neighborhood Collective Efficacy and Maternal Corporal Punishment with Behavior Problems in Early Childhood

Science.gov (United States)

Ma, Julie; Grogan-Kaylor, Andrew

2017-01-01

Neighborhood and parenting influences on early behavioral outcomes are strongly dependent upon a child's stage of development. However, little research has jointly considered the longitudinal associations of neighborhood and parenting processes with behavior problems in early childhood. To address this limitation, this study explores the…

Behavior Tracking Software Enhancement and Integration of a Feedback Module, Phase II

Data.gov (United States)

National Aeronautics and Space Administration — Horizon Performance designed a Behavior Tracking Software System to collect crew member behavior throughout a mission, giving NASA the capability to monitor...

Validation of the Elementary Social Behavior Assessment: A Measure of Student Prosocial School Behaviors

Science.gov (United States)

Pennefather, Jordan T.; Smolkowski, Keith

2015-01-01

We describe the psychometric evaluation of the "Elementary Social Behavior Assessment" (ESBA™), a 12-item scale measuring teacher-preferred, positive social skills. The ESBA was developed for use in elementary school classrooms to measure teacher perceptions of students using time-efficient, web-based data collection methods that allow…

Chaotic weak chimeras and their persistence in coupled populations of phase oscillators

International Nuclear Information System (INIS)

Bick, Christian; Ashwin, Peter

2016-01-01

Nontrivial collective behavior may emerge from the interactive dynamics of many oscillatory units. Chimera states are chaotic patterns of spatially localized coherent and incoherent oscillations. The recently-introduced notion of a weak chimera gives a rigorously testable characterization of chimera states for finite-dimensional phase oscillator networks. In this paper we give some persistence results for dynamically invariant sets under perturbations and apply them to coupled populations of phase oscillators with generalized coupling. In contrast to the weak chimeras with nonpositive maximal Lyapunov exponents constructed so far, we show that weak chimeras that are chaotic can exist in the limit of vanishing coupling between coupled populations of phase oscillators. We present numerical evidence that positive Lyapunov exponents can persist for a positive measure set of this inter-population coupling strength. (paper)

Unidirectional edge states in topological honeycomb-lattice membrane photonic crystals.

Science.gov (United States)

Anderson, P Duke; Subramania, Ganapathi

2017-09-18

Photonic analogs of electronic systems with topologically non-trivial behavior such as unidirectional scatter-free propagation has tremendous potential for transforming photonic systems. Like in electronics topological behavior can be observed in photonics for systems either preserving time-reversal (TR) symmetry or explicitly breaking it. TR symmetry breaking requires magneto-optic photonics crystals (PC) or generation of synthetic gauge fields. For on-chip photonics that operate at optical frequencies both are quite challenging because of poor magneto-optic response of materials or substantial nanofabrication challenges in generating synthetic gauge fields. A recent work by Ma, et al. [Phys. Rev. Lett.114, 223901 (2015)] based on preserving pseudo TR symmetry offers a promising design scheme for observing unidirectional edge states in a modified honeycomb photonic crystal (PC) lattice of circular rods that offers encouraging alternatives. Here we propose through bandstructure calculations the inverse system of modified honeycomb PC of circular holes in a dielectric membrane which is more attractive from fabrication standpoint for on-chip applications. We observe trivial and non-trivial bandgaps as well as unidirectional edge states of opposite helicity propagating in opposite directions at the interface of a trivial and non-trivial PC structures. Around 1550nm operating wavelength ~55nm of bandwidth is possible for practicable values of design parameters (lattice constant, hole radii, membrane thickness, scaling factor etc.) and robust to reasonable variations in those parameters.

Essays on the Determinants of Prosocial Behavior in Singapore

OpenAIRE

Lim, Daniel

2015-01-01

Previous research has sought to explain why people engage in prosocial behavior and undertake activities that are costly to themselves and mostly benefit others, such as volunteering and donating. My dissertation comprises three essays that collectively explore the determinants of prosocial behavior and leverages insights from behavioral economics to design interventions to nudge people to behave more prosocially. The first essay is an observational study that examines how rapid demographic c...

Sniffing behavior communicates social hierarchy.

Science.gov (United States)

Wesson, Daniel W

2013-04-08

Sniffing is a specialized respiratory behavior that is essential for the acquisition of odors [1-4]. Perhaps not independent of this, sniffing is commonly displayed during motivated [5-7] and social behaviors [8, 9]. No measures of sniffing among interacting animals are available, however, calling into question the utility of this behavior in the social context. From radiotelemetry recordings of nasal respiration, I found that investigation by one rat toward the facial region of a conspecific often elicits a decrease in sniffing frequency in the conspecific. This reciprocal display of sniffing was found to be dependent upon the rat's social status in two separate paradigms, with subordinates reliably decreasing their sniffing frequency upon being investigated in the face by dominant rats. Failure of subordinates to decrease their sniffing frequency shortened the latency for agonistic behavior by dominant rats, reflecting that decreases in sniffing serve as appeasement signals during social interactions. Rats rendered unable to smell persisted in displaying reciprocal sniffing behavior, demonstrating the independence of this behavior from olfaction. Oxytocin treatment in rats with established social hierarchies abolished agonistic behaviors and reciprocal sniffing displays. Together, these findings demonstrate that rodents utilize sniffing behaviors communicatively, not only to collect [6, 10-14] but also to convey information. Copyright © 2013 Elsevier Ltd. All rights reserved.

Webdatanet: Innovation and quality in web-based data collection

NARCIS (Netherlands)

Steinmetz, S.; Slavec, A.; Tijdens, K.; Reips, U.-D.; de Pedraza, P.; Popescu, A.; Belchior, A.; Birgegard, A.; Bianchi, A.; Ayalon, A.; Selkala, A.; Villacampa, A.; Winer, B.; Mlacic, B.; Vogel, C.; Gravem, D.; Gayo Avello, D.; Constantin, D.; Toninelli, D.; Troitino, D.; Horvath, D.; de Leeuw, E.; Oren, E.; Fernandez-Macias, E.; Thorsdottir, F.; Ortega, F.; Funke, F.; Campagnolo, G.M.; Milas, G.; Grünwald, C.; Jonsdottir, G.; Haraldsen, G.; Doron, G.; Margetts, H.; Miklousic, I.; Andreadis, I.; Berzelak, J.; Angelovska, J.; Schrittwieser, K.; Kissau, K.; Lozar Manfreda, K.; Kolsrud, K.; Kalgraff Skjak, K.; Tsagarakis, K.; Kaczmirek, L.; Lesnard, L.; Moga, L.M.; Lopes Teixeira, L.; Plate, M.; Kozak, M.; Fuchs, M.; Callegaro, M.; Cantijoch, M.; Kahanec, M.; Stopa, M.; Ernst Staehli, M.; Neculita, M.; Ivanovic, M.; Foulonneau, M.; Cheikhrouhou, N.; Fornara, N.; Finnemann, N.O.; Zajc, N.; Nyirå, N.; Louca, P.; Osse, P.; Mavrikiou, P.; Gibson, R.; Vatrapu, R.; Dar, R.; Pinter, R.; Martinez Torres, R.; Douhou, S.; Biffignandi, S.; Grceva, S.; David, S.; Ronkainen, T.; Csordas, T.; Lenzner, T.; Vesteinsdottir, V.; Vehovar, V.; Markov, Y.

2014-01-01

In light of the growing importance of web-based data in the social and behavioral sciences, WEBDATANET was established in 2011 as a COST Action (IS 1004) to create a multidisciplinary network of web-based data collection experts: (web) survey methodologists, psychologists, sociologists, linguists,

A Web Browsing Behavior Recording System

OpenAIRE

Ohmura, Hayato; Kitasuka, Teruaki; Aritsugi, Masayoshi; オオムラ, ハヤト; キタスカ, テルアキ; アリツギ, マサヨシ; 大村, 勇人; 北須賀, 輝明; 有次, 正義

2011-01-01

In this paper, we introduce a Web browsing behavior recording system for research. Web browsing behavior data can help us to providesophisticated services for human activities, because the data must indicate characteristics ofWeb users.We discuss the necessity of the data with potential benefits, and develop a system for collecting the data as an add-on for Firefox. We also report some results of preliminary experiments to test its usefulness in analyses on human activities in this paper.

THE IMPACT OF ORGANIZATION'S PERSONALITY ON MANAGERIAL BEHAVIOR

Directory of Open Access Journals (Sweden)

Costin Mădălina-Adriana

2010-07-01

Full Text Available Organizational climate and the conditions that determine the "personality" of an organization represent important factors in determining the managerial behavior. Climate and behaviors are strongly influenced by organizational culture. Managerial behavior is determined by the variety of ways of realizing functions and by their attitude to employees and subordinates. These features of the each manager’ behavior is defined management style. This study examined the relationship between individual’s personality, organization’s personality, the environmental factors and managerial behavior. Data were collected from thirty enterprises (micro, small and mediums from Bihor County. The results obtained from these sources suggested that the size of the lead group has a great influence on managerial behavior.

Bistable collective behavior of polymers tethered in a nanopore

Science.gov (United States)

Osmanovic, Dino; Bailey, Joe; Harker, Anthony H.; Fassati, Ariberto; Hoogenboom, Bart W.; Ford, Ian J.

2012-06-01

Polymer-coated pores play a crucial role in nucleo-cytoplasmic transport and in a number of biomimetic and nanotechnological applications. Here we present Monte Carlo and Density Functional Theory approaches to identify different collective phases of end-grafted polymers in a nanopore and to study their relative stability as a function of intermolecular interactions. Over a range of system parameters that is relevant for nuclear pore complexes, we observe two distinct phases: one with the bulk of the polymers condensed at the wall of the pore, and the other with the polymers condensed along its central axis. The relative stability of these two phases depends on the interpolymer interactions. The existence the two phases suggests a mechanism in which marginal changes in these interactions, possibly induced by nuclear transport receptors, cause the pore to transform between open and closed configurations, which will influence transport through the pore.

Study on monostable and bistable reaction-diffusion equations by iteration of travelling wave maps

Science.gov (United States)

Yi, Taishan; Chen, Yuming

2017-12-01

In this paper, based on the iterative properties of travelling wave maps, we develop a new method to obtain spreading speeds and asymptotic propagation for monostable and bistable reaction-diffusion equations. Precisely, for Dirichlet problems of monostable reaction-diffusion equations on the half line, by making links between travelling wave maps and integral operators associated with the Dirichlet diffusion kernel (the latter is NOT invariant under translation), we obtain some iteration properties of the Dirichlet diffusion and some a priori estimates on nontrivial solutions of Dirichlet problems under travelling wave transformation. We then provide the asymptotic behavior of nontrivial solutions in the space-time region for Dirichlet problems. These enable us to develop a unified method to obtain results on heterogeneous steady states, travelling waves, spreading speeds, and asymptotic spreading behavior for Dirichlet problem of monostable reaction-diffusion equations on R+ as well as of monostable/bistable reaction-diffusion equations on R.

Collective learning for the emergence of social norms in networked multiagent systems.

Science.gov (United States)

Yu, Chao; Zhang, Minjie; Ren, Fenghui

2014-12-01

Social norms such as social rules and conventions play a pivotal role in sustaining system order by regulating and controlling individual behaviors toward a global consensus in large-scale distributed systems. Systematic studies of efficient mechanisms that can facilitate the emergence of social norms enable us to build and design robust distributed systems, such as electronic institutions and norm-governed sensor networks. This paper studies the emergence of social norms via learning from repeated local interactions in networked multiagent systems. A collective learning framework, which imitates the opinion aggregation process in human decision making, is proposed to study the impact of agent local collective behaviors on the emergence of social norms in a number of different situations. In the framework, each agent interacts repeatedly with all of its neighbors. At each step, an agent first takes a best-response action toward each of its neighbors and then combines all of these actions into a final action using ensemble learning methods. Extensive experiments are carried out to evaluate the framework with respect to different network topologies, learning strategies, numbers of actions, influences of nonlearning agents, and so on. Experimental results reveal some significant insights into the manipulation and control of norm emergence in networked multiagent systems achieved through local collective behaviors.

Scaling behavior of heavy fermion metals

Energy Technology Data Exchange (ETDEWEB)

Shaginyan, V.R., E-mail: vrshag@thd.pnpi.spb.r [Petersburg Nuclear Physics Institute, RAS, Gatchina, 188300 (Russian Federation); CTSPS, Clark Atlanta University, Atlanta, GA 30314 (United States); Amusia, M.Ya. [Racah Institute of Physics, Hebrew University, Jerusalem 91904 (Israel); Ioffe Physical Technical Institute, RAS, St. Petersburg 194021 (Russian Federation); Msezane, A.Z. [CTSPS, Clark Atlanta University, Atlanta, GA 30314 (United States); Popov, K.G. [Komi Science Center, Ural Division, RAS, 3a, Chernova str. Syktyvkar, 167982 (Russian Federation)

2010-07-15

Strongly correlated Fermi systems are fundamental systems in physics that are best studied experimentally, which until very recently have lacked theoretical explanations. This review discusses the construction of a theory and the analysis of phenomena occurring in strongly correlated Fermi systems such as heavy-fermion (HF) metals and two-dimensional (2D) Fermi systems. It is shown that the basic properties and the scaling behavior of HF metals can be described within the framework of a fermion condensation quantum phase transition (FCQPT) and an extended quasiparticle paradigm that allow us to explain the non-Fermi liquid behavior observed in strongly correlated Fermi systems. In contrast to the Landau paradigm stating that the quasiparticle effective mass is a constant, the effective mass of new quasiparticles strongly depends on temperature, magnetic field, pressure, and other parameters. Having analyzed the collected facts on strongly correlated Fermi systems with quite a different microscopic nature, we find these to exhibit the same non-Fermi liquid behavior at FCQPT. We show both analytically and using arguments based entirely on the experimental grounds that the data collected on very different strongly correlated Fermi systems have a universal scaling behavior, and materials with strongly correlated fermions can unexpectedly be uniform in their diversity. Our analysis of strongly correlated systems such as HF metals and 2D Fermi systems is in the context of salient experimental results. Our calculations of the non-Fermi liquid behavior, the scales and thermodynamic, relaxation and transport properties are in good agreement with experimental facts.

Evolving and Controlling Perimeter, Rendezvous, and Foraging Behaviors in a Computation-Free Robot Swarm

Science.gov (United States)

2016-04-01

in extreme environments. Categories and Subject Descriptors I.2.11 [ Artificial Intelligence ]: Distributed Artificial In- telligence—multiagent systems...coherence and coordination; I.2.9 [ Artificial Intelligence ]: Robotics— intelligent vehi- cles Keywords swarm robotics, evolutionary algorithms...collective behaviors. Rubenstein et al. [12] studied how to collectively transport items using a simple control signals and behaviors. Others have looked

Knowledge gain and behavioral change in citizen-science programs.

Science.gov (United States)

Jordan, Rebecca C; Gray, Steven A; Howe, David V; Brooks, Wesley R; Ehrenfeld, Joan G

2011-12-01

Citizen-science programs are often touted as useful for advancing conservation literacy, scientific knowledge, and increasing scientific-reasoning skills among the public. Guidelines for collaboration among scientists and the public are lacking and the extent to which these citizen-science initiatives change behavior is relatively unstudied. Over two years, we studied 82 participants in a three-day program that included education about non-native invasive plants and collection of data on the occurrence of those plants. Volunteers were given background knowledge about invasive plant ecology and trained on a specific protocol for collecting invasive plant data. They then collected data and later gathered as a group to analyze data and discuss responsible environmental behavior with respect to invasive plants. We tested whether participants without experience in plant identification and with little knowledge of invasive plants increased their knowledge of invasive species ecology, participation increased knowledge of scientific methods, and participation affected behavior. Knowledge of invasive plants increased on average 24%, but participation was insufficient to increase understanding of how scientific research is conducted. Participants reported increased ability to recognize invasive plants and increased awareness of effects of invasive plants on the environment, but this translated into little change in behavior regarding invasive plants. Potential conflicts between scientific goals, educational goals, and the motivation of participants must be considered during program design. ©2011 Society for Conservation Biology.

Cyberbullying: Student's Behavior In Virtual Worlds

OpenAIRE

Wangid, Muhammad Nur

2016-01-01

Abstract: Concerning about student’s negative behaviors in using of the internet encouraged the survey to describe the behavior of students in the virtual world. The sample consisted of 497 students, consisting of 336 women and 161 men, taken by proportional random sampling. Instruments of data collection using questionnaire. The results showed that mobile phones become the primary tool in the move to the internet is more widely used to send the message. Using internet lasting for more two h...

Herd Clustering: A synergistic data clustering approach using collective intelligence

KAUST Repository

Wong, Kachun; Peng, Chengbin; Li, Yue; Chan, Takming

2014-01-01

, this principle is used to develop a new clustering algorithm. Inspired by herd behavior, the clustering method is a synergistic approach using collective intelligence called Herd Clustering (HC). The novel part is laid in its first stage where data instances

Controlling noise-induced behavior of excitable networks

International Nuclear Information System (INIS)

Patidar, S; Pototsky, A; Janson, N B

2009-01-01

The paper demonstrates the possibility to control the collective behavior of a large network of excitable stochastic units, in which oscillations are induced merely by external random input. Each network element is represented by the FitzHugh-Nagumo system under the influence of noise, and the elements are coupled through the mean field. As known previously, the collective behavior of units in such a network can range from synchronous to non-synchronous spiking with a variety of states in between. We apply the Pyragas delayed feedback to the mean field of the network and demonstrate that this technique is capable of suppressing or weakening the collective synchrony, or of inducing the synchrony where it was absent. On the plane of control parameters we indicate the areas where suppression of synchrony is achieved. To explain the numerical observations on a qualitative level, we use the semi-analytic approach based on the cumulant expansion of the distribution density within Gaussian approximation. We perform bifurcation analysis of the obtained cumulant equations with delay and demonstrate that the regions of stability of its steady state have qualitatively the same structure as the regions of synchrony suppression of the original stochastic equations. We also demonstrate the delay-induced multistability in the stochastic network. These results are relevant to the control of unwanted behavior in neural networks.

Application of the Expanded Theory of Planned Behavior in Intercity Travel Behavior

Directory of Open Access Journals (Sweden)

Jing Peng

2014-01-01

Full Text Available Congestion in intercity corridors of metropolitan area has been increasing steadily. To alleviate congestion, many major investment projects, such as the high speed railway projects, were proposed by agency. To evaluate the adequacy and efficiency of these projects, the intercity travel behavior should be analyzed in metropolitan area. The paper constructed a Multiple Indicators and Multiple Causes (MIMIC model according to an expanded theory of planned behavior (TPB to study the travel behavior of choosing from the choice set of the traditional train, the high speed railway and the coach by demographic and psychological factors. Through empirical data collection and analysis, we found that demographic factors of travelers indeed positively engender the latent variables in MIMIC, and descriptive norm and habit had direct or indirect significant effect on travel behavior and intention. On the basis of the effect of psychological constructors of the expanded TPB on the intercity travel behavior and differentiation of traveler's demographic characteristics, the agency can make reasonable policies and proper information for the intercity transportation. The results will support the basic theory of optimizing the transportation system in metropolitan area. Implications for researchers and suggestions for future research are also addressed in this study.

Defective quorum sensing of acute lymphoblastic leukemic cells: evidence of collective behavior of leukemic populations as semi-autonomous aberrant ecosystems

Science.gov (United States)

Patel, Sapan J; Dao, Su; Darie, Costel C; Clarkson, Bayard D

2016-01-01

Quorum sensing (QS) is a generic term used to describe cell-cell communication and collective decision making by bacterial and social insects to regulate the expression of specific genes in controlling cell density and other properties of the populations in response to nutrient supply or changes in the environment. QS mechanisms also have a role in higher organisms in maintaining homeostasis, regulation of the immune system and collective behavior of cancer cell populations. In the present study, we used a p190BCR-ABL driven pre-B acute lymphoblastic leukemia (ALL3) cell line derived from the pleural fluid of a terminally ill patient with ALL to test the QS hypothesis in leukemia. ALL3 cells don’t grow at low density (LD) in liquid media but grow progressively faster at increasingly high cell densities (HD) in contrast to other established leukemic cell lines that grow well at very low starting cell densities. The ALL3 cells at LD are poised to grow but shortly die without additional stimulation. Supernates of ALL3 cells (HDSN) and some other primary cells grown at HD stimulate the growth of the LD ALL3 cells without which they won’t survive. To get further insight into the activation processes we performed microarray analysis of the LD ALL3 cells after stimulation with ALL3 HDSN at days 1, 3, and 6. This screen identified several candidate genes, and we linked them to signaling networks and their functions. We observed that genes involved in lipid, cholesterol, fatty acid metabolism, and B cell activation are most up- or down-regulated upon stimulation of the LD ALL3 cells using HDSN. We also discuss other pathways that are differentially expressed upon stimulation of the LD ALL3 cells. Our findings suggest that the Ph+ ALL population achieves dominance by functioning as a collective aberrant ecosystem subject to defective quorum-sensing regulatory mechanisms. PMID:27429840

Non-monotonic effect of growth temperature on carrier collection in SnS solar cells

International Nuclear Information System (INIS)

Chakraborty, R.; Steinmann, V.; Mangan, N. M.; Brandt, R. E.; Poindexter, J. R.; Jaramillo, R.; Mailoa, J. P.; Hartman, K.; Polizzotti, A.; Buonassisi, T.; Yang, C.; Gordon, R. G.

2015-01-01

We quantify the effects of growth temperature on material and device properties of thermally evaporated SnS thin-films and test structures. Grain size, Hall mobility, and majority-carrier concentration monotonically increase with growth temperature. However, the charge collection as measured by the long-wavelength contribution to short-circuit current exhibits a non-monotonic behavior: the collection decreases with increased growth temperature from 150 °C to 240 °C and then recovers at 285 °C. Fits to the experimental internal quantum efficiency using an opto-electronic model indicate that the non-monotonic behavior of charge-carrier collection can be explained by a transition from drift- to diffusion-assisted components of carrier collection. The results show a promising increase in the extracted minority-carrier diffusion length at the highest growth temperature of 285 °C. These findings illustrate how coupled mechanisms can affect early stage device development, highlighting the critical role of direct materials property measurements and simulation

Type A behavior pattern, accident optimism and fatalism: an investigation into non-compliance with safety work behaviors among hospital nurses.

Science.gov (United States)

Ugwu, Fabian O; Onyishi, Ike E; Ugwu, Chidi; Onyishi, Charity N

2015-01-01

Safety work behavior has continued to attract the interest of organizational researchers and practitioners especially in the health sector. The goal of the study was to investigate whether personality type A, accident optimism and fatalism could predict non-compliance with safety work behaviors among hospital nurses. One hundred and fifty-nine nursing staff sampled from three government-owned hospitals in a state in southeast Nigeria, participated in the study. Data were collected through Type A Behavior Scale (TABS), Accident Optimism, Fatalism and Compliance with Safety Behavior (CSB) Scales. Our results showed that personality type A, accident optimism and fatalism were all related to non-compliance with safety work behaviors. Personality type A individuals tend to comply less with safety work behaviors than personality type B individuals. In addition, optimistic and fatalistic views about accidents and existing safety rules also have implications for compliance with safety work behaviors.

The Effects of Training, Feedback, and Participant Involvement in Behavioral Safety Observations on Office Ergonomic Behavior

Science.gov (United States)

Sasson, Joseph R.; Austin, John

2005-01-01

Eleven computer terminal operators participated in an experiment that assessed effects of several interventions aimed at increasing safe ergonomic performance. All participants received ergonomics training and performance feedback while six of them collected observations of safe behavior among the remaining five participants. Effects of…

Silk Film Topography Directs Collective Epithelial Cell Migration

Science.gov (United States)

Rosenblatt, Mark I.

2012-01-01

The following study provides new insight into how surface topography dictates directed collective epithelial cell sheet growth through the guidance of individual cell movement. Collective cell behavior of migrating human corneal limbal-epithelial cell sheets were studied on highly biocompatible flat and micro-patterned silk film surfaces. The silk film edge topography guided the migratory direction of individual cells making up the collective epithelial sheet, which resulted in a 75% increase in total culture elongation. This was due to a 3-fold decrease in cell sheet migration rate efficiency for movement perpendicular to the topography edge. Individual cell migration direction is preferred in the parallel approach to the edge topography where localization of cytoskeletal proteins to the topography’s edge region is reduced, which results in the directed growth of the collective epithelial sheet. Findings indicate customized biomaterial surfaces may be created to direct both the migration rate and direction of tissue epithelialization. PMID:23185573

Decision making models and human factors: TOPSIS and Ergonomic Behaviors (TOPSIS-EB

Directory of Open Access Journals (Sweden)

Mohammad

2017-02-01

Full Text Available An effective safety management requires attention to human factors as well as system compo-nents which make risky or safe situations at technical components. This study evaluates and ana-lyze ergonomic behaviors in order to select the best work shift group in an Iranian process in-dustry, in 2010.The methodology was based on the Ergonomic Behavior Sampling (EBS, and TOPSIS method. After specifying the unergonomic behaviors and with reference to the results of a pilot study, a sample of 1755 was determined, with a sampling accuracy of 5% and confi-dence level of 95%. However, in order to gain more confidence, 2631 observations were collect-ed. The results indicate that 43.6% of workers’ behaviors were unergonomic. The most frequent unergonomic behavior was amusing of legs while load lifting with 83.01% of total unergonomic behaviors observations. Using TOPSIS method, the most effective shift group and the least at-tractive alternatives for intervention were selected in this company. Findings declare high number of unergonomic behaviors. Catastrophic consequences of accidents in petrochemical industry ne-cessitate attention to workers’ ergonomic behaviors in the workplace and promotion of them.

Structural arrest in an ideal gas

NARCIS (Netherlands)

Ketel, W. van; Das, C.; Frenkel, D.

2005-01-01

We report a molecular dynamics study of a simple model system that has the static properties of an ideal gas, yet exhibits nontrivial "glassy" dynamics behavior at high densities. The constituent molecules of this system are constructs of three infinitely thin hard rods of length L, rigidly joined

Explaining Radical Group Behavior : Developing Emotion and Efficacy Routes to Normative and Nonnormative Collective Action

NARCIS (Netherlands)

Tausch, Nicole; Becker, Julia C.; Spears, Russell; Christ, Oliver; Saab, Rim; Singh, Purnima; Siddiqui, Roomana N.

A recent model of collective action distinguishes 2 distinct pathways: an emotional pathway whereby anger in response to injustice motivates action and an efficacy pathway where the belief that issues can be solved collectively increases the likelihood that group members take action (van Zomeren,

The Garbage Gospel: Using the Theory of Planned Behavior to Explain the Role of Religious Institutions in Affecting Pro-Environmental Behavior among Ethnic Minorities

Science.gov (United States)

Lakhan, Calvin

2018-01-01

This study used Azjen's Theory of Planned Behavior to examine how pro-recycling and pro-environmental messaging delivered by religious leaders affects stated recycling behavior among ethnic minorities. Using data collected from 12 religious institutions in three Ontario, Canada, communities, a promotion and education program was developed to: (1)…

Cognitive Behavioral Psychotherapies: History and Development

Directory of Open Access Journals (Sweden)

M. Hakan Türkçapar

2012-03-01

Full Text Available Cognitive behavioral therapies are one of the most leading theories between current psychotherapies. As a psychotherapy school, besides sharing the common points reached collectively by the humanity throughout the history, it also achieved in integrating scientific and ampirical experiences into the psychotherapy practice. Having included mainstreams like Stoicism, Kantian philosopy in its historical roots, this approach has similarities with eastern philosophies, budism and sufism. Apart from its historical and cultural roots, cognitive approach integrated with behaviorism which applied scientific method in human psychology for the first time, and also implemented the scientific method in the cognitive field. Cognitive behavioral approaches shall make important contributions in the pathway that psychotherapies will cover.

Nonlinearities in Behavioral Macroeconomics.

Science.gov (United States)

Gomes, Orlando

2017-07-01

This article undertakes a journey across the literature on behavioral macroeconomics, with attention concentrated on the nonlinearities that the behavioral approach typically suggests or implies. The emphasis is placed on thinking the macro economy as a living organism, composed of many interacting parts, each one having a will of its own, which is in sharp contrast with the mechanism of the orthodox view (well represented by the neoclassical or new Keynesian dynamic stochastic general equilibrium - DSGE - model). The paper advocates that a thorough understanding of individual behavior in collective contexts is the only possible avenue to further explore macroeconomic phenomena and the often observed 'anomalies' that the benchmark DSGE macro framework is unable to explain or justify. After a reflection on the role of behavioral traits as a fundamental component of a new way of thinking the economy, the article proceeds with a debate on some of the most relevant frameworks in the literature that somehow link macro behavior and nonlinearities; covered subjects include macro models with disequilibrium rules, agent-based models that highlight interaction and complexity, evolutionary switching frameworks, and inattention based decision problems. These subjects have, as a fundamental point in common, the use of behavioral elements to transform existing interpretations of the economic reality, making it more evident how irregular fluctuations emerge and unfold on the aggregate.

Embryonic cell-cell adhesion: a key player in collective neural crest migration.

Science.gov (United States)

Barriga, Elias H; Mayor, Roberto

2015-01-01

Cell migration is essential for morphogenesis, adult tissue remodeling, wound healing, and cancer cell migration. Cells can migrate as individuals or groups. When cells migrate in groups, cell-cell interactions are crucial in order to promote the coordinated behavior, essential for collective migration. Interestingly, recent evidence has shown that cell-cell interactions are also important for establishing and maintaining the directionality of these migratory events. We focus on neural crest cells, as they possess extraordinary migratory capabilities that allow them to migrate and colonize tissues all over the embryo. Neural crest cells undergo an epithelial-to-mesenchymal transition at the same time than perform directional collective migration. Cell-cell adhesion has been shown to be an important source of planar cell polarity and cell coordination during collective movement. We also review molecular mechanisms underlying cadherin turnover, showing how the modulation and dynamics of cell-cell adhesions are crucial in order to maintain tissue integrity and collective migration in vivo. We conclude that cell-cell adhesion during embryo development cannot be considered as simple passive resistance to force, but rather participates in signaling events that determine important cell behaviors required for cell migration. © 2015 Elsevier Inc. All rights reserved.

BEHAVIORAL ASPECT OF ACCOUNTING TEACHERS’ INFORMATION TECHNOLOGY USAGE

OpenAIRE

YILMAZ, Emine; ÖZER, Gökhan

2015-01-01

This study aims to examine behavioral process of accounting teachers’ information technology (IT) acceptance. To this end, we collected data from accounting teachers working in trade high schools. Research model and hypotheses were developed in the light of Theory of Reasoned Action. Accordingly, relationships among attitudes, subjective norms, intentions towards information technology usage and IT usage behaviors were investigated. Explanatory factor analysis and structural equation modeling...

Ethics of Teaching: Beliefs and Behaviors of Psychologists as Educators.

Science.gov (United States)

Tabachnick, Barbara G.; And Others

1991-01-01

To study the behaviors and ethical beliefs of psychologists functioning as educators, survey data were collected from 482 American Psychological Association members working primarily in higher education. Participants rated each of 63 behaviors as to how often they practiced them and how ethical they considered them to be. (CJS)

Subjective Relational Experiences and Employee Innovative Behaviors in the Workplace

Science.gov (United States)

Vinarski-Peretz, Hedva; Binyamin, Galy; Carmeli, Abraham

2011-01-01

This paper presents two studies that explore the implications of subjective relational experiences (positive regard, mutuality and vitality) on employee engagement in innovative behaviors at work. Data collected at two points in time were used to test two mediation models that link subjective relational experiences and innovative behaviors. The…

Health Behaviors of Culturally Diverse Inner-City Community College Students

Science.gov (United States)

Heller, Janet R.; Sarmiento, Ariel L.

2016-01-01

Objective: To determine the prevalence of risk behaviors related to cigarette use, alcohol use, nutrition, physical fitness, and sexual behavior. Participants: Participants were 1,075 students attending an urban community college during the Spring 2012 semester. Methods: Data were collected in randomly selected classes using the American College…

What Does It Take for Practitioners to Use Data to Change Behavior in Collective Impact?

Science.gov (United States)

Raderstrong, Jeff; Nazaire, JaNay Queen

2017-01-01

The use of data to track and manage progress is critical to a collective impact initiative achieving results or understanding impact. Yet, little research has been done to determine how collective impact practitioners can effectively use data. This article--including a literature review, semistructured interviews with experts on performance…

DTIC Review: Human, Social, Cultural and Behavior Modeling. Volume 9, Number 1 (CD-ROM)

National Research Council Canada - National Science Library

2008-01-01

...: Human, Social, Cultural and Behavior (HSCB) models are designed to help understand the structure, interconnections, dependencies, behavior, and trends associated with any collection of individuals...

Interaction in consumers attitudes and behavior

Directory of Open Access Journals (Sweden)

Marinković Veljko

2007-01-01

Full Text Available Having in mind a fact that consumers represent the central aspect of the companies' demand, consumer behavior must be the focal point of marketing research as well as the central topic in the entire marketing system. The initial and the most fundamental marketing activity is the research of consumer behavior. It is only after the analysis of the collected relevant data on current and potential buyers, that the companies can implement other marketing activities such as competition analysis, sales forecast, measuring the market potential as well as the market share in order to create the appropriate marketing mix of the company. Numerous factors influence behavior of the consumers, however, one can conclude that the attitudes play very important role in the psychological analysis of the consumer behavior. Attitude recognition gives us a chance to analyze past and predict future behaviors. Often the behavior appears as the consequence of the formed attitudes. Weather the behavior results from the attitude and whether or not it is in accordance with this attitude, depends on the strength of the attitude as well as on the influence of other environmental factors.

Physical activity and sedentary behavior patterns are associated with selected adolescent health risk behaviors.

Science.gov (United States)

Nelson, Melissa C; Gordon-Larsen, Penny

2006-04-01

Little is known about how physical activity (PA), sedentary behavior, and various adolescent health risk behaviors are associated. The objective of this study was to examine relationships between PA and sedentary behavior patterns and an array of risk behaviors, including leading causes of adolescent morbidity/mortality. Nationally representative self-reported data were collected (National Longitudinal Study of Adolescent Health; wave I: 1994-1995; II: 1996; N = 11957). Previously developed and validated cluster analyses identified 7 homogeneous groups of adolescents sharing PA and sedentary behaviors. Poisson regression predicted the relative risk of health risk behaviors, other weekly activities, and self-esteem across the 7 PA/sedentary behavior clusters controlling for demographics and socioeconomic status. Main outcome measures were adolescent risk behaviors (eg, truancy, cigarette smoking, sexual intercourse, delinquency), other weekly activities (eg, work, academic performance, sleep), self-esteem. Relative to high television (TV) and video viewers, adolescents in clusters characterized by skating and video gaming, high overall sports and sports participation with parents, using neighborhood recreation center, strict parental control of TV, reporting few activities overall, and being active in school were less likely to participate in a range of risky behaviors, ranging from an adjusted risk ratio (ARR) of 0.42 (outcome: illegal drug use, cluster: strict parental control of TV) to 0.88 (outcome: violence, cluster: sports with parents). Active teens were less likely to have low self-esteem (eg, adolescents engaging in sports with parents, ARR: 0.73) and more likely to have higher grades (eg, active in school, ARR: 1.20). Participation in a range of PA-related behaviors, particularly those characterized by high parental sports/exercise involvement, was associated with favorable adolescent risk profiles. Adolescents with high TV/video viewership were less

Explaining clinical behaviors using multiple theoretical models

Directory of Open Access Journals (Sweden)

Eccles Martin P

2012-10-01

Full Text Available Abstract Background In the field of implementation research, there is an increased interest in use of theory when designing implementation research studies involving behavior change. In 2003, we initiated a series of five studies to establish a scientific rationale for interventions to translate research findings into clinical practice by exploring the performance of a number of different, commonly used, overlapping behavioral theories and models. We reflect on the strengths and weaknesses of the methods, the performance of the theories, and consider where these methods sit alongside the range of methods for studying healthcare professional behavior change. Methods These were five studies of the theory-based cognitions and clinical behaviors (taking dental radiographs, performing dental restorations, placing fissure sealants, managing upper respiratory tract infections without prescribing antibiotics, managing low back pain without ordering lumbar spine x-rays of random samples of primary care dentists and physicians. Measures were derived for the explanatory theoretical constructs in the Theory of Planned Behavior (TPB, Social Cognitive Theory (SCT, and Illness Representations specified by the Common Sense Self Regulation Model (CSSRM. We constructed self-report measures of two constructs from Learning Theory (LT, a measure of Implementation Intentions (II, and the Precaution Adoption Process. We collected data on theory-based cognitions (explanatory measures and two interim outcome measures (stated behavioral intention and simulated behavior by postal questionnaire survey during the 12-month period to which objective measures of behavior (collected from routine administrative sources were related. Planned analyses explored the predictive value of theories in explaining variance in intention, behavioral simulation and behavior. Results Response rates across the five surveys ranged from 21% to 48%; we achieved the target sample size for three of

Explaining clinical behaviors using multiple theoretical models.

Science.gov (United States)

Eccles, Martin P; Grimshaw, Jeremy M; MacLennan, Graeme; Bonetti, Debbie; Glidewell, Liz; Pitts, Nigel B; Steen, Nick; Thomas, Ruth; Walker, Anne; Johnston, Marie

2012-10-17

In the field of implementation research, there is an increased interest in use of theory when designing implementation research studies involving behavior change. In 2003, we initiated a series of five studies to establish a scientific rationale for interventions to translate research findings into clinical practice by exploring the performance of a number of different, commonly used, overlapping behavioral theories and models. We reflect on the strengths and weaknesses of the methods, the performance of the theories, and consider where these methods sit alongside the range of methods for studying healthcare professional behavior change. These were five studies of the theory-based cognitions and clinical behaviors (taking dental radiographs, performing dental restorations, placing fissure sealants, managing upper respiratory tract infections without prescribing antibiotics, managing low back pain without ordering lumbar spine x-rays) of random samples of primary care dentists and physicians. Measures were derived for the explanatory theoretical constructs in the Theory of Planned Behavior (TPB), Social Cognitive Theory (SCT), and Illness Representations specified by the Common Sense Self Regulation Model (CSSRM). We constructed self-report measures of two constructs from Learning Theory (LT), a measure of Implementation Intentions (II), and the Precaution Adoption Process. We collected data on theory-based cognitions (explanatory measures) and two interim outcome measures (stated behavioral intention and simulated behavior) by postal questionnaire survey during the 12-month period to which objective measures of behavior (collected from routine administrative sources) were related. Planned analyses explored the predictive value of theories in explaining variance in intention, behavioral simulation and behavior. Response rates across the five surveys ranged from 21% to 48%; we achieved the target sample size for three of the five surveys. For the predictor variables

Individual welfare analysis for collective households

DEFF Research Database (Denmark)

Cherchye, Laurens; Cosaert, Sam; de Rock, Bram

We propose novel tools for the analysis of individual welfare on the basis of aggregate household demand behavior. The method assumes a collective model of household consumption with the public and private nature of goods specified by the empirical analyst. A main distinguishing feature of our......-to-pay for public consumption (i.e. Lindahl prices). The method is easy to use in practice and yields informative empirical results, which we demonstrate through a simulation analysis and an empirical application to labor supply data....

An Integrated Open Approach to Capturing Systematic Knowledge for Manufacturing Process Innovation Based on Collective Intelligence

Directory of Open Access Journals (Sweden)

Gangfeng Wang

2018-02-01

Full Text Available Process innovation plays a vital role in the manufacture realization of increasingly complex new products, especially in the context of sustainable development and cleaner production. Knowledge-based innovation design can inspire designers’ creative thinking; however, the existing scattered knowledge has not yet been properly captured and organized according to Computer-Aided Process Innovation (CAPI. Therefore, this paper proposes an integrated approach to tackle this non-trivial issue. By analyzing the design process of CAPI and technical features of open innovation, a novel holistic paradigm of process innovation knowledge capture based on collective intelligence (PIKC-CI is constructed from the perspective of the knowledge life cycle. Then, a multi-source innovation knowledge fusion algorithm based on semantic elements reconfiguration is applied to form new public knowledge. To ensure the credibility and orderliness of innovation knowledge refinement, a collaborative editing strategy based on knowledge lock and knowledge–social trust degree is explored. Finally, a knowledge management system MPI-OKCS integrating the proposed techniques is implemented into the pre-built CAPI general platform, and a welding process innovation example is provided to illustrate the feasibility of the proposed approach. It is expected that our work would lay the foundation for the future knowledge-inspired CAPI and smart process planning.

Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis

Science.gov (United States)

Monekosso, Dorothy; Remagnino, Paolo

This paper describes a data generator that produces synthetic data to simulate observations from an array of environment monitoring sensors. The overall goal of our work is to monitor the well-being of one occupant in a home. Sensors are embedded in a smart home to unobtrusively record environmental parameters. Based on the sensor observations, behavior analysis and modeling are performed. However behavior analysis and modeling require large data sets to be collected over long periods of time to achieve the level of accuracy expected. A data generator - was developed based on initial data i.e. data collected over periods lasting weeks to facilitate concurrent data collection and development of algorithms. The data generator is based on statistical inference techniques. Variation is introduced into the data using perturbation models.

Which behavioral, emotional and school problems in middle-childhood predict early sexual behavior?

Science.gov (United States)

Parkes, Alison; Waylen, Andrea; Sayal, Kapil; Heron, Jon; Henderson, Marion; Wight, Daniel; Macleod, John

2014-04-01

Mental health and school adjustment problems are thought to distinguish early sexual behavior from normative timing (16-18 years), but little is known about how early sexual behavior originates from these problems in middle-childhood. Existing studies do not allow for co-occurring problems, differences in onset and persistence, and there is no information on middle-childhood school adjustment in relationship to early sexual activity. This study examined associations between several middle-childhood problems and early sexual behavior, using a subsample (N = 4,739, 53 % female, 98 % white, mean age 15 years 6 months) from a birth cohort study, the Avon Longitudinal Study of Parents and Children. Adolescents provided information at age 15 on early sexual behavior (oral sex and/or intercourse) and sexual risk-taking, and at age 13 on prior risk involvement (sexual behavior, antisocial behavior and substance use). Information on hyperactivity/inattention, conduct problems, depressive symptoms, peer relationship problems, school dislike and school performance was collected in middle-childhood at Time 1 (6-8 years) and Time 2 (10-11 years). In agreement with previous research, conduct problems predicted early sexual behavior, although this was found only for persistent early problems. In addition, Time 2 school dislike predicted early sexual behavior, while peer relationship problems were protective. Persistent early school dislike further characterized higher-risk groups (early sexual behavior preceded by age 13 risk, or accompanied by higher sexual risk-taking). The study establishes middle-childhood school dislike as a novel risk factor for early sexual behavior and higher-risk groups, and the importance of persistent conduct problems. Implications for the identification of children at risk and targeted intervention are discussed, as well as suggestions for further research.

Predicting personality traits related to consumer behavior using SNS analysis

Science.gov (United States)

Baik, Jongbum; Lee, Kangbok; Lee, Soowon; Kim, Yongbum; Choi, Jayoung

2016-07-01

Modeling a user profile is one of the important factors for devising a personalized recommendation. The traditional approach for modeling a user profile in computer science is to collect and generalize the user's buying behavior or preference history, generated from the user's interactions with recommender systems. According to consumer behavior research, however, internal factors such as personality traits influence a consumer's buying behavior. Existing studies have tried to adapt the Big 5 personality traits to personalized recommendations. However, although studies have shown that these traits can be useful to some extent for personalized recommendation, the causal relationship between the Big 5 personality traits and the buying behaviors of actual consumers has not been validated. In this paper, we propose a novel method for predicting the four personality traits-Extroversion, Public Self-consciousness, Desire for Uniqueness, and Self-esteem-that correlate with buying behaviors. The proposed method automatically constructs a user-personality-traits prediction model for each user by analyzing the user behavior on a social networking service. The experimental results from an analysis of the collected Facebook data show that the proposed method can predict user-personality traits with greater precision than methods that use the variables proposed in previous studies.

WATER CONSUMPTION BEHAVIOR DURING DRY SEASON AT PAMOR HAMLET, GROBOGAN DISTRICT

OpenAIRE

Ipung Purwanto

2017-01-01

Drought disaster in Grobogan District takes place almost every year. This research aims to study the household water consumption behavior during dry season. Precipitation data, soil map, and land cover map were collected. Historical information was also collected with snowball sampling and depth interview. Public perceptions were collected through Focus Group Discussion. Interview and direct observation were conducted to discover people behaviour in collecting water. Survey was also done to c...

A Behavioral Weight Reduction Model for Moderately Mentally Retarded Adolescents.

Science.gov (United States)

Rotatori, Anthony F.; And Others

1980-01-01

A behavioral weight reduction treatment and maintenance program for moderately mentally retarded adolescents which involves six phases from background information collection to followup relies on stimulus control procedures to modify eating behaviors. Data from pilot studies show an average weekly weight loss of .5 to 1 pound per S. (CL)

Self-Reported Risk and Delinquent Behavior and Problem Behavioral Intention in Hong Kong Adolescents: The Role of Moral Competence and Spirituality.

Science.gov (United States)

Shek, Daniel T L; Zhu, Xiaoqin

2018-01-01

Based on the six-wave data collected from Grade 7 to Grade 12 students ( N = 3,328 at Wave 1), this pioneer study examined the development of problem behaviors (risk and delinquent behavior and problem behavioral intention) and the predictors (moral competence and spirituality) among adolescents in Hong Kong. Individual growth curve models revealed that while risk and delinquent behavior accelerated and then slowed down in the high school years, adolescent problem behavioral intention slightly accelerated over time. After controlling the background socio-demographic factors, moral competence and spirituality were negatively associated with risk and delinquent behavior as well as problem behavioral intention across all waves as predicted. Regarding the rate of change in the outcome measures, while the initial level of spirituality was positively linked to the growth rate of risk and delinquent behavior, the initial level of moral competence was negatively associated with the growth rate of problem behavioral intention. The theoretical and practical implications of the present findings are discussed with reference to the role of moral competence and spirituality in the development of adolescent problem behavior.

Self-Reported Risk and Delinquent Behavior and Problem Behavioral Intention in Hong Kong Adolescents: The Role of Moral Competence and Spirituality

Science.gov (United States)

Shek, Daniel T. L.; Zhu, Xiaoqin

2018-01-01

Based on the six-wave data collected from Grade 7 to Grade 12 students (N = 3,328 at Wave 1), this pioneer study examined the development of problem behaviors (risk and delinquent behavior and problem behavioral intention) and the predictors (moral competence and spirituality) among adolescents in Hong Kong. Individual growth curve models revealed that while risk and delinquent behavior accelerated and then slowed down in the high school years, adolescent problem behavioral intention slightly accelerated over time. After controlling the background socio-demographic factors, moral competence and spirituality were negatively associated with risk and delinquent behavior as well as problem behavioral intention across all waves as predicted. Regarding the rate of change in the outcome measures, while the initial level of spirituality was positively linked to the growth rate of risk and delinquent behavior, the initial level of moral competence was negatively associated with the growth rate of problem behavioral intention. The theoretical and practical implications of the present findings are discussed with reference to the role of moral competence and spirituality in the development of adolescent problem behavior. PMID:29651269

Impact of Market Behavior, Fleet Composition, and Ancillary Services on Revenue Sufficiency

Energy Technology Data Exchange (ETDEWEB)

Frew, Bethany [National Renewable Energy Lab. (NREL), Golden, CO (United States); Gallo, Giulia [National Renewable Energy Lab. (NREL), Golden, CO (United States); Brinkman, Gregory [National Renewable Energy Lab. (NREL), Golden, CO (United States); Milligan, Michael [National Renewable Energy Lab. (NREL), Golden, CO (United States); Clark, Kara [National Renewable Energy Lab. (NREL), Golden, CO (United States); Bloom, Aaron [National Renewable Energy Lab. (NREL), Golden, CO (United States)

2016-06-01

Revenue insufficiency, or the missing money problem, occurs when the revenues that generators earn from the market are not sufficient to cover both fixed and variable costs to remain in the market and/or justify investments in new capacity, which may be needed for reliability. The near-zero marginal cost of variable renewable generators further exacerbates these revenue challenges. Estimating the extent of the missing money problem in current electricity markets is an important, nontrivial task that requires representing both how the power system operates and how market participants behave. This paper explores the missing money problem using a production cost model that represented a simplified version of the Electric Reliability Council of Texas (ERCOT) energy-only market for the years 2012-2014. We evaluate how various market structures -- including market behavior, ancillary services, and changing fleet compositions -- affect net revenues in this ERCOT-like system. In most production cost modeling exercises, resources are assumed to offer their marginal capabilities at marginal costs. Although this assumption is reasonable for feasibility studies and long-term planning, it does not adequately consider the market behaviors that impact revenue sufficiency. In this work, we simulate a limited set of market participant strategic bidding behaviors by means of different sets of markups; these markups are applied to the true production costs of all gas generators, which are the most prominent generators in ERCOT. Results show that markups can help generators increase their net revenues overall, although net revenues may increase or decrease depending on the technology and the year under study. Results also confirm that conventional, variable-cost-based production cost simulations do not capture prices accurately, and this particular feature calls for proxies for strategic behaviors (e.g., markups) and more accurate representations of how electricity markets work. The

Collective, stochastic and nonequilibrium behavior of highly excited hadronic matter

Energy Technology Data Exchange (ETDEWEB)

Carruthers, P [Los Alamos National Lab., NM (USA). Theoretical Div.

1984-04-23

We discuss selected problems concerning the dynamics and stochastic behavior of highly excited matter, particularly the QCD plasma. For the latter we consider the equation of state, kinetics, quasiparticles, flow properties and possible chaos and turbulence. The promise of phase space distribution functions for covariant transport and kinetic theory is stressed. The possibility and implications of a stochastic bag are spelled out. A simplified space-time model of hadronic collisions is pursued, with applications to A-A collisions and other matters. The domain wall between hadronic and plasma phase is of potential importance: its thickness and relation to surface tension is noticed. Finally, we review the recently developed stochastic cell model of multiparticle distributions and KNO scaling. This topic leads to the notion that fractional dimensions are involved in a rather general dynamical context. We speculate that various scaling phenomena are independent of the full dynamical structure, depending only on a general stochastic framework having to do with simple maps and strange attractors. 42 refs.

Collective, stochastic and nonequilibrium behavior of highly excited hadronic matter

International Nuclear Information System (INIS)

Carruthers, P.

1983-01-01

We discuss selected problems concerning the dynamic and stochasticc behavior of highly excited matter, particularly the QCD plasma. For the latter we consider the equation of state, kinetics, quasiparticles, flow properties and possible chaos and turbulence. The promise of phase space distribution functions for covariant transport and kinetic theory is stressed. The possibility and implications of a stochastic bag are spelled out. A simplified space-time model of hadronic collisions is pursued, with applications to A-A collisions and other matters. The domain wall between hadronic and plasma phase is of potential importance: its thickness and relation to surface tension are noticed. Finally we reviewed the recently developed stochastic cell model of multiparticle distributions and KNO scaling. This topic leads to the notion that fractal dimensions are involved in a rather general dynamical context. We speculate that various scaling phenomena are independent of the full dynamical structure, depending only on a general stochastic framework having to do with simple maps and strange attractors. 42 references

Development and validation of the Pediatric Anesthesia Behavior score--an objective measure of behavior during induction of anesthesia.

Science.gov (United States)

Beringer, Richard M; Greenwood, Rosemary; Kilpatrick, Nicky

2014-02-01

Measuring perioperative behavior changes requires validated objective rating scales. We developed a simple score for children's behavior during induction of anesthesia (Pediatric Anesthesia Behavior score) and assessed its reliability, concurrent validity, and predictive validity. Data were collected as part of a wider observational study of perioperative behavior changes in children undergoing general anesthesia for elective dental extractions. One-hundred and two healthy children aged 2-12 were recruited. Previously validated behavioral scales were used as follows: the modified Yale Preoperative Anxiety Scale (m-YPAS); the induction compliance checklist (ICC); the Pediatric Anesthesia Emergence Delirium scale (PAED); and the Post-Hospitalization Behavior Questionnaire (PHBQ). Pediatric Anesthesia Behavior (PAB) score was independently measured by two investigators, to allow assessment of interobserver reliability. Concurrent validity was assessed by examining the correlation between the PAB score, the m-YPAS, and the ICC. Predictive validity was assessed by examining the association between the PAB score, the PAED scale, and the PHBQ. The PAB score correlated strongly with both the m-YPAS (P risk of developing postoperative behavioral disturbance. This study provides evidence for its reliability and validity. © 2013 John Wiley & Sons Ltd.

Perceived enjoyment, concentration, intention, and speed violation behavior: Using flow theory and theory of planned behavior.

Science.gov (United States)

Atombo, Charles; Wu, Chaozhong; Zhang, Hui; Wemegah, Tina D

2017-10-03

Road accidents are an important public health concern, and speeding is a major contributor. Although flow theory (FLT) is a valid model for understanding behavior, currently the nature of the roles and interplay of FLT constructs within the theory of planned behavior (TPB) framework when attempting to explain the determinants of motivations for intention to speed and speeding behavior of car drivers is not yet known. The study aims to synthesize TPB and FLT in explaining drivers of advanced vehicles intentions to speed and speed violation behaviors and evaluate factors that are critical for explaining intention and behavior. The hypothesized model was validated using a sample collected from 354 fully licensed drivers of advanced vehicles, involving 278 males and 76 females on 2 occasions separated by a 3-month interval. During the first of the 2 occasions, participants completed questionnaire measures of TPB and FLT variables. Three months later, participants' speed violation behaviors were assessed. The study observed a significant positive relationship between the constructs. The proposed model accounted for 51 and 45% of the variance in intention to speed and speed violation behavior, respectively. The independent predictors of intention were enjoyment, attitude, and subjective norm. The independent predictors of speed violation behavior were enjoyment, concentration, intention, and perceived behavioral control. The findings suggest that safety interventions for preventing speed violation behaviors should be aimed at underlying beliefs influencing the speeding behaviors of drivers of advanced vehicles. Furthermore, perceived enjoyment is of equal importance to driver's intention, influencing speed violation behavior.

Spatial fidelity of workers predicts collective response to disturbance in a social insect.

Science.gov (United States)

Crall, James D; Gravish, Nick; Mountcastle, Andrew M; Kocher, Sarah D; Oppenheimer, Robert L; Pierce, Naomi E; Combes, Stacey A

2018-04-03

Individuals in social insect colonies cooperate to perform collective work. While colonies often respond to changing environmental conditions by flexibly reallocating workers to different tasks, the factors determining which workers switch and why are not well understood. Here, we use an automated tracking system to continuously monitor nest behavior and foraging activity of uniquely identified workers from entire bumble bee (Bombus impatiens) colonies foraging in a natural outdoor environment. We show that most foraging is performed by a small number of workers and that the intensity and distribution of foraging is actively regulated at the colony level in response to forager removal. By analyzing worker nest behavior before and after forager removal, we show that spatial fidelity of workers within the nest generates uneven interaction with relevant localized information sources, and predicts which workers initiate foraging after disturbance. Our results highlight the importance of spatial fidelity for structuring information flow and regulating collective behavior in social insect colonies.

Benefits of collective intelligence: Swarm intelligent foraging, an ethnographic research

Directory of Open Access Journals (Sweden)

Sivave Mashingaidze

2014-12-01

Full Text Available Wisdom of crowds; bees, colonies of ants, schools of fish, flocks of birds, and fireflies flashing synchronously are all examples of highly coordinated behaviors that emerge from collective, decentralized intelligence. This article is an ethnographic study of swarm intelligence foraging of swarms and the benefits derived from collective decision making. The author used using secondary data analysis to look at the benefits of swarm intelligence in decision making to achieve intended goals. Concepts like combined decision making and consensus were discussed and four principles of swarm intelligence were also discussed viz; coordination, cooperation, deliberation and collaboration. The research found out that collective decision making in swarms is the touchstone of achieving their goals. The research further recommended corporate to adopt collective intelligence for business sustainability.

Variation in Sexual Identification Among Behaviorally Bisexual Women in the Midwestern United States: Challenging the Established Methods for Collecting Data on Sexual Identity and Orientation.

Science.gov (United States)

Baldwin, Aleta; Schick, Vanessa R; Dodge, Brian; van Der Pol, Barbara; Herbenick, Debby; Sanders, Stephanie A; Fortenberry, J Dennis

2017-07-01

Collecting information on sexual identity is critical to ensuring the visibility of minority populations who face stigmatization and discrimination related to sexual identities. However, it is challenging to capture the nuances of sexual identity with traditional survey research methods. Using a mixed-methods approach, we gathered data on the sexual identities of 80 behaviorally bisexual women in the Midwestern United States through an online survey. When provided different types of measures (e.g., open ended and fixed response) and different contexts in which to identify (e.g., private and public), participants varied in how they reported their sexual identities. Qualitative analysis of participant narratives around identity change finds partitioning and ranking of attraction is a key component in understanding behaviorally bisexual women's identities. We further identify a division regarding the desired outcomes of identity development processes. Given the multiple ways in which participants identified depending upon the type of measure and the context specified, and the variation in identification over time, results support reconsidering the capability of typical measures and methods used in survey research to capture sexual identity information. Additionally, findings highlight the utility of including multiple, context-specific measures of sexual identities in future research.

Longitudinal associations between parenting style and adolescent disordered eating behaviors.

Science.gov (United States)

Zubatsky, Max; Berge, Jerica; Neumark-Sztainer, Dianne

2015-06-01

The main purpose of this study was to identify the longitudinal association between specific parenting styles (authoritarian, authoritative, permissive, and neglectful) and adolescent disordered eating behaviors. The current study uses longitudinal data from a 5-year study to examine the associations between parenting style and disordered eating behaviors among adolescents. Data from adolescents (n = 2516) participating in Project EAT (Eating Among Teens), a population-based study from 31 Minnesota schools, were used in the analysis. Time 1 data were collected using in-class assessments of adolescents from Minneapolis/St. Paul schools, and Time 2 data were collected using mailed surveys 5 years later. General Linear Models were used to predict adolescent-reported disordered eating behaviors at Time 2 from adolescent-reported parenting style at Time 1. Adolescent boys and girls who had authoritarian mothers at Time 1 had a higher probability of extreme weight control behaviors 5 years later compared to adolescents with authoritative, permissive, or neglectful mothers. Adolescent girls with authoritarian mothers at Time 1 had a higher probability of engaging in binge-eating behaviors at Time 2 compared to adolescent girls with authoritative or permissive mothers. There were no significant associations between paternal parenting style and adolescent disordered eating behaviors. Although authoritarian parenting style served as a possible risk factor for disordered eating behaviors in adolescents, the findings were not conclusive. Future studies should investigate further the association between parenting style and weight control behaviors in adolescents.

Enhancing the Evidence for Behavioral Counseling: A Perspective From the Society of Behavioral Medicine.

Science.gov (United States)

Alcántara, Carmela; Klesges, Lisa M; Resnicow, Ken; Stone, Amy; Davidson, Karina W

2015-09-01

U.S. Preventive Services Task Force (USPSTF) clinical guidelines at present rarely assign the highest grade recommendation to behavioral counseling interventions for chronic disease prevention or risk reduction because of concerns about the certainty and quality of the evidence base. As a result, the broad integration of behavioral counseling interventions in primary care remains elusive. Thus, there is an urgent need for novel perspectives on how to generate the highest-quality and -certainty evidence for primary care-focused behavioral counseling interventions. As members of the Society of Behavioral Medicine (SBM)--a multidisciplinary scientific organization committed to improving population health through behavior change--we review the USPSTF mandate and current recommendations for behavioral counseling interventions and provide a perspective for the future that calls for concerted and coordinated efforts among SBM, USPSTF, and other organizations invested in the rapid and wider uptake of beneficial, feasible, and referable primary care-focused behavioral counseling interventions. This perspective highlights five areas for further development, including (1) behavioral counseling-focused practice-based research networks; (2) promotion of USPSTF evidence standards and the increased use of pragmatic RCT design; (3) quality control and improvement procedures for behavioral counseling training; (4) systematic research on effective primary care-based collaborative care models; and (5) methodologic innovations that capitalize on disruptive technologies and healthcare transformation. Collective efforts to improve the health of all Americans in the 21st century and beyond must ensure that effective, feasible, and referable behavioral counseling interventions are embedded in modern primary care practice. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Adaptive end-to-end optimization of mobile video streaming using QoS negotiation

NARCIS (Netherlands)

Taal, Jacco R.; Langendoen, Koen; van der Schaaf, Arjen; van Dijk, H.W.; Lagendijk, R. (Inald) L.

Video streaming over wireless links is a non-trivial problem due to the large and frequent changes in the quality of the underlying radio channel combined with latency constraints. We believe that every layer in a mobile system must be prepared to adapt its behavior to its environment. Thus layers

Can we scan the supernova model space for collective oscillations?

International Nuclear Information System (INIS)

Pehlivan, Y.; Subaşı, A. L.; Birol, S.; Ghazanfari, N.; Yuksel, H.; Balantekin, A. B.; Kajino, Toshitaka

2016-01-01

Collective neutrino oscillations in a core collapse supernova is a many-body phenomenon which can transform the neutrino energy spectra through emergent effects. One example of this behavior is the neutrino spectral swaps in which neutrinos of different flavors partially or completely exchange their spectra. In this talk, we address the question of how model dependent this behavior is. In particular, we demonstrate that these swaps may be independent of the mean field approximation that is typically employed in numerical treatments by showing an example of a spectral swap in the exact many-body picture.

Callous-unemotional behavior and early-childhood onset of behavior problems: the role of parental harshness and warmth

Science.gov (United States)

Waller, Rebecca; Gardner, Frances; Shaw, Daniel S.; Dishion, Thomas J.; Wilson, Melvin N.; Hyde, Luke W.

2014-01-01

Objective Youth with callous unemotional (CU) behavior are at risk of developing more severe forms of aggressive and antisocial behavior. Previous cross-sectional studies suggest that associations between parenting and conduct problems are less strong when children or adolescents have high levels of CU behavior, implying lower malleability of behavior compared to low-CU children. The current study extends previous findings by examining the moderating role of CU behavior on associations between parenting and behavior problems in a very young sample, both concurrently and longitudinally, and using a variety of measurement methods. Methods Data were collected from a multi-ethnic, high-risk sample at ages 2–4 (N = 364; 49% female). Parent-reported CU behavior was assessed at age 3 using a previously validated measure (Hyde et al., 2013). Parental harshness was coded from observations of parent-child interactions and parental warmth was coded from five-minute speech samples. Results In this large and young sample, CU behavior moderated cross-sectional correlations between parent-reported and observed warmth and child behavior problems. However, in cross-sectional and longitudinal models testing parental harshness, and longitudinal models testing warmth, there was no moderation by CU behavior. Conclusions The findings are in line with recent literature suggesting parental warmth may be important to child behavior problems at high levels of CU behavior. In general, however, the results of this study contrast with much of the extant literature and suggest that in young children, affective aspects of parenting appear to be related to emerging behavior problems, regardless of the presence of early CU behavior. PMID:24661288

A Community Study of Association between Parenting Dimensions and Externalizing Behaviors

Science.gov (United States)

Sharma, Vandana; Sandhu, Gurpreet K.

2006-01-01

Background: Association between parenting dimensions and externalizing behaviors in children was examined. Method: Data on children from the middle class families of Patiala (N = 240) were collected from schools and families. Parents completed questionnaires on parenting dimensions and externalizing behaviors of children. Results: Analysis of…

A Big-Data-based platform of workers' behavior: Observations from the field.

Science.gov (United States)

Guo, S Y; Ding, L Y; Luo, H B; Jiang, X Y

2016-08-01

Behavior-Based Safety (BBS) has been used in construction to observe, analyze and modify workers' behavior. However, studies have identified that BBS has several limitations, which have hindered its effective implementation. To mitigate the negative impact of BBS, this paper uses a case study approach to develop a Big-Data-based platform to classify, collect and store data about workers' unsafe behavior that is derived from a metro construction project. In developing the platform, three processes were undertaken: (1) a behavioral risk knowledge base was established; (2) images reflecting workers' unsafe behavior were collected from intelligent video surveillance and mobile application; and (3) images with semantic information were stored via a Hadoop Distributed File System (HDFS). The platform was implemented during the construction of the metro-system and it is demonstrated that it can effectively analyze semantic information contained in images, automatically extract workers' unsafe behavior and quickly retrieve on HDFS as well. The research presented in this paper can enable construction organizations with the ability to visualize unsafe acts in real-time and further identify patterns of behavior that can jeopardize safety outcomes. Copyright © 2015 Elsevier Ltd. All rights reserved.

An index for quantifying flocking behavior.

Science.gov (United States)

Quera, Vicenç; Herrando, Salvador; Beltran, Francesc S; Salas, Laura; Miñano, Meritxell

2007-12-01

One of the classic research topics in adaptive behavior is the collective displacement of groups of organisms such as flocks of birds, schools of fish, herds of mammals, and crowds of people. However, most agent-based simulations of group behavior do not provide a quantitative index for determining the point at which the flock emerges. An index was developed of the aggregation of moving individuals in a flock and an example was provided of how it can be used to quantify the degree to which a group of moving individuals actually forms a flock.

Frequent nonprescription stimulant use and risky behaviors in college students: the role of effortful control.

Science.gov (United States)

Reid, Adam M; Graziano, Paulo A; Balkhi, Amanda M; McNamara, Joseph P H; Cottler, Linda B; Meneses, Evander; Geffken, Gary R

2015-01-01

The goal of this study was to (a) investigate the association between nonprescription stimulant use (NPSU) and risky behaviors, including risky sex, driving, financial behaviors, and drug use and (b) collect preliminary evidence on mechanisms that may link NPSU to risky behaviors. A sample of 555 college students was collected between August 2010 and February 2012. Students completed several self-report measures assessing their drug use history, attention-deficit and hyperactivity symptoms, temperament, and risky behaviors beyond drug use. Those who reported more frequent NPSU were more likely to engage in high-risk behavior across all 4 domains studied. Further, effortful control abilities partially mediated the link between NPSU and risky behaviors. These results highlight the associated risks of frequent NPSU for college students as well as provide future directions for examining effortful control as a potentially important mechanism linking NPSU to other risky behaviors.

Collective Correlations of Brodmann Areas fMRI Study with RMT-Denoising

OpenAIRE

Burda, Zdzislaw; Kornelsen, Jennifer; Nowak, Maciej A.; Porebski, Bartosz; Sboto-Frankenstein, Uta; Tomanek, Boguslaw; Tyburczyk, Jacek

2013-01-01

We study collective behavior of Brodmann regions of human cerebral cortex using functional Magnetic Resonance Imaging (fMRI) and Random Matrix Theory (RMT). The raw fMRI data is mapped onto the cortex regions corresponding to the Brodmann areas with the aid of the Talairach coordinates. Principal Component Analysis (PCA) of the Pearson correlation matrix for 41 different Brodmann regions is carried out to determine their collective activity in the idle state and in the active state stimulated...

Cognitive Behavioral Psychotherapies: History and Development

Directory of Open Access Journals (Sweden)

M. Hakan Türkçapar

2012-04-01

Full Text Available Cognitive behavioral therapies are one of the most leading theories between current psychotherapies. As a psychotherapy school, besides sharing the common points reached collectively by the humanity throughout the history, it also achieved in integrating scientific and ampirical experiences into the psychotherapy practice. Having included mainstreams like Stoicism, Kantian philosopy in its historical roots, this approach has similarities with eastern philosophies, budism and sufism. Apart from its historical and cultural roots, cognitive approach integrated with behaviorism which applied scientific method in human psychology for the first time, and also implemented the scientific method in the cognitive field. Cognitive behavioral approaches shall make important contributions in the pathway that psychotherapies will cover. [JCBPR 2012; 1(1.000: 7-14

Quality Improvement in Hospitals: Identifying and Understanding Behaviors

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Lukasz M. Mazur

2012-01-01

Full Text Available Improving operational performance in hospitals is complicated, particularly if process improvement requires complex behavioral changes. Using single-loop and double-loop learning theory as a foundation, the purpose of this research is to empirically uncover key improvement behaviors and the factors that may be associated with such behaviors in hospitals. A two-phased approach was taken to collect data regarding improvement behaviors and associated factors, and data analysis was conducted using methods proposed by grounded theorists. The contributions of this research are twofold. First, five key behaviors related to process improvement are identified, namely Quick Fixing, Initiating, Conforming, Expediting, and Enhancing. Second, based on these observed behaviors, a set of force field diagrams is developed to structure and organize possible factors that are important to consider when attempting to change improvement behaviors. This begins to fill the gap in the knowledge about what factors drive effective improvement efforts in hospital settings.

Nursing students attitudes across the suicidal behavior

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Nadja Cristiane Lappann Bott

2015-08-01

Full Text Available Objective. Examine the attitudes of nursing students with the suicidal behavior before and after a training course on the subject. Methodology. Performed quantitative, cross-sectional study, with 58 nursing students from a public university in Minas Gerais (Brazil who participated in training on the theme. For data collection were used the Questionnaire of Attitudes Before Suicidal Behavior. The questionnaire was applied just before the start and the end of the training measuring attitudes toward suicidal behavior. Results. Were found statistically significant differences in negative feelings factors on the patient and perception of professional competence (p <0.05. The right factor to suicide was not significantly different among nursing students. Conclusion. The academic training may have influenced positively the desired changes regarding the attitudes of nursing students across the suicidal behavior.

Collective motion of active Brownian particles with polar alignment.

Science.gov (United States)

Martín-Gómez, Aitor; Levis, Demian; Díaz-Guilera, Albert; Pagonabarraga, Ignacio

2018-04-04

We present a comprehensive computational study of the collective behavior emerging from the competition between self-propulsion, excluded volume interactions and velocity-alignment in a two-dimensional model of active particles. We consider an extension of the active brownian particles model where the self-propulsion direction of the particles aligns with the one of their neighbors. We analyze the onset of collective motion (flocking) in a low-density regime (10% surface area) and show that it is mainly controlled by the strength of velocity-alignment interactions: the competition between self-propulsion and crowding effects plays a minor role in the emergence of flocking. However, above the flocking threshold, the system presents a richer pattern formation scenario than analogous models without alignment interactions (active brownian particles) or excluded volume effects (Vicsek-like models). Depending on the parameter regime, the structure of the system is characterized by either a broad distribution of finite-sized polar clusters or the presence of an amorphous, highly fluctuating, large-scale traveling structure which can take a lane-like or band-like form (and usually a hybrid structure which is halfway in between both). We establish a phase diagram that summarizes collective behavior of polar active brownian particles and propose a generic mechanism to describe the complexity of the large-scale structures observed in systems of repulsive self-propelled particles.

Importance of tie strengths in the prisoner's dilemma game on social networks

International Nuclear Information System (INIS)

Xu, Bo; Liu, Lu; You, Weijia

2011-01-01

Though numerous researches have shown that tie strengths play a key role in the formation of collective behavior in social networks, little work has been done to explore their impact on the outcome of evolutionary games. In this Letter, we studied the effect of tie strength in the dynamics of evolutionary prisoner's dilemma games by using online social network datasets. The results show that the fraction of cooperators has a non-trivial dependence on tie strength. Weak ties, just like previous researches on epidemics and information diffusion have shown, play a key role by the maintenance of cooperators in evolutionary prisoner's dilemma games. -- Highlights: → Tie strength is used to measure heterogeneous influences of different pairs of nodes. → Weak ties play a role in maintaining cooperation in prisoner's dilemma games. → Micro-dynamics of nodes are illustrated to explain the conclusion.

Interventions Highlighting Hypocrisy Reduce Collective Blame of Muslims for Individual Acts of Violence and Assuage Anti-Muslim Hostility.

Science.gov (United States)

Bruneau, Emile; Kteily, Nour; Falk, Emily

2018-03-01

Collectively blaming groups for the actions of individuals can license vicarious retribution. Acts of terrorism by Muslim extremists against innocents, and the spikes in anti-Muslim hate crimes against innocent Muslims that follow, suggest that reciprocal bouts of collective blame can spark cycles of violence. How can this cycle be short-circuited? After establishing a link between collective blame of Muslims and anti-Muslim attitudes and behavior, we used an "interventions tournament" to identify a successful intervention (among many that failed). The "winning" intervention reduced collective blame of Muslims by highlighting hypocrisy in the ways individuals collectively blame Muslims-but not other groups (White Americans, Christians)-for individual group members' actions. After replicating the effect in an independent sample, we demonstrate that a novel interactive activity that isolates the psychological mechanism amplifies the effectiveness of the collective blame hypocrisy intervention and results in downstream reductions in anti-Muslim attitudes and anti-Muslim behavior.

Designing collective behavior in a termite-inspired robot construction team.

Science.gov (United States)

Werfel, Justin; Petersen, Kirstin; Nagpal, Radhika

2014-02-14

Complex systems are characterized by many independent components whose low-level actions produce collective high-level results. Predicting high-level results given low-level rules is a key open challenge; the inverse problem, finding low-level rules that give specific outcomes, is in general still less understood. We present a multi-agent construction system inspired by mound-building termites, solving such an inverse problem. A user specifies a desired structure, and the system automatically generates low-level rules for independent climbing robots that guarantee production of that structure. Robots use only local sensing and coordinate their activity via the shared environment. We demonstrate the approach via a physical realization with three autonomous climbing robots limited to onboard sensing. This work advances the aim of engineering complex systems that achieve specific human-designed goals.

Analyzing Web Behavior in Indoor Retail Spaces

OpenAIRE

Ren, Yongli; Tomko, Martin; Salim, Flora; Ong, Kevin; Sanderson, Mark

2015-01-01

We analyze 18 million rows of Wi-Fi access logs collected over a one year period from over 120,000 anonymized users at an inner-city shopping mall. The anonymized dataset gathered from an opt-in system provides users' approximate physical location, as well as Web browsing and some search history. Such data provides a unique opportunity to analyze the interaction between people's behavior in physical retail spaces and their Web behavior, serving as a proxy to their information needs. We find: ...

Does it matter what friends think, say, or do? The role of friends' smoking attitudes and behavior for Dutch adolescents' smoking behavior.

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Huisman, Chip

2014-05-01

Using stochastic actor-based models for longitudinal network analysis, this study examines the role of friends' smoking attitudes and behavior for Dutch adolescents' smoking behavior in four secondary schools (N = 875). The data were collected in two waves in two small suburban towns under second graders in 2008 to 2009 by means of a standardized questionnaire. Stochastic actor-based models for longitudinal network analysis can control for friendship selection while examining the effect of friends' attitudes and smoking behavior on the smoking behavior of a student. The findings suggest that friends tend to select each other on similar smoking behavior. Influence of friends' smoking behavior seems to play no role. In one school, an effect of friends' attitudes towards smoking on the smoking behavior is found. The implications for future research are to consider attitudes when examining the influence of friendship network on smoking behavior. The main limitation of this study lies in the limited sample, which makes generalizations to the general population difficult.

The Influence of Ethical Ideologies on Promotive Extra Role Behaviors and Positive Work Behavior of Individuals

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Işıl Mendeş Pekdemir

2015-08-01

Full Text Available Following the previous studies on ‘extra-role behavior’, this study focuses especially on ‘promotive extra-role behavior’ as well as ‘positive work behavior’, and explores of ethical ideologies on them. On that framework, this paper aims to achieve the effect of ‘ethical ideologies’ (idealism and relativism on promotive extra-role behaviors (helping and voice and positive work behavior. Moreover, we examine the impact of being high and low idealist personality as well as high and low relativist personality on level of ‘helping extra-role behavior’, ‘voice behavior’, ‘extra-role behavior’, and ‘positive work behaviors’ that individuals exhibit. This paper also aims to explore the influence of demographic variables on helping, voice, and positive work behavior. In order to achieve the goals mentioned, we collected data from 356 MBA students, and used the ordinal logistic regression analysis. Results indicate that idealism significantly correlates to helping, voice, and positive work behavior.

Behavioral Safety in the Food Services Industry: Challenges and Outcomes

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Lebbon, Angela; Sigurdsson, Sigurdur Oli; Austin, John

2012-01-01

During the course of a 6-year behavioral safety consult at a food and drink industry site, data were collected on the number of Occupational Safety Health Administration (OSHA) recordable incidents, number of lost and restricted days, and number of peer safety observations. Employees were trained to identify safe and unsafe behavior, conduct peer…

Predictors of Behavior Factors of High School Students against Recycling

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Cimen, Osman; Yilmaz, Mehmet

2016-01-01

This study aims to determine the variables that predict high school students' recycling behaviors. The study was designed as survey model. The study's sample consists of 203 students at a high school in Ankara. A recycling behavior scale developed by the researchers was used as a data collection tool. The scale has 3 dimensions: recycling…

Analyzing Vessel Behavior Using Process Mining

NARCIS (Netherlands)

Maggi, F.M.; Mooij, A.J.; Aalst, W.M.P. van der

2013-01-01

In the maritime domain, electronic sensors such as AIS receivers and radars collect large amounts of data about the vessels in a certain geographical area. We investigate the use of process mining techniques for analyzing the behavior of the vessels based on these data. In the context of maritime

A multilevel study on the relationships between work characteristics, self-efficacy, collective efficacy, and organizational citizenship behavior: the case of Taiwanese police duty-executing organizations.

Science.gov (United States)

Chen, Chun-Hsi Vivian; Kao, Rui-Hsin

2011-01-01

Public security, traffic management, and service for the people are the 3 major functions of policing in Taiwan. This definition encompasses not only the traditional job characteristics, but also the level of contextual characteristics and social characteristics because of police work's characteristics and its frequent interaction with the public. Thus, the present study conducted a multilevel model analysis by taking self-efficacy and collective efficacy as the mediating variables. The purpose was to investigate the influences of motivational work characteristics (knowledge-oriented) and social work characteristics (socially and contextually oriented) of work-design model on the police officers' organizational citizenship behavior (OCB), by using first-line police officers in Taiwan as the research objects. The study showed not only that knowledge characteristics will influence the self-efficacy of a police officer and that self-efficacy can in turn influence individual police officers' OCB, but also the contextual effect of social characteristics, contextual characteristics, and collective efficacy on self-efficacy and individuals' OCB. Additionally, there was a crosslevel moderating effect from contextual characteristics on the relationship between knowledge characteristics and self-efficacy and the relationship between self-efficacy and the individuals' OCB. The authors conclude the article with research implications.

Collective phenomena in relativistic heavy-ion collisions

Science.gov (United States)

Wang, Shan

1998-12-01

Collective motion in the final state of relativistic nucleus-nucleus collisions, produced by the release of compressional energy built-up during the stage of maximum density, is widely accepted as a good observable to test models and a useful tool to probe the nuclear equation of state. This dissertation presents an experimental study of nuclear collisions at the Bevalac accelerator at Lawrence Berkeley National Laboratory, with special emphasis on collective phenomena. The main detector used is a time projection chamber with more than two million pixels. Using high statistics measurements of all charged final- state fragments in Au + Au reactions at 0.25, 0.4, 0.6, 0.8, 1.0, and 1.15A GeV, we present a new method to unify the description of light fragment spectra and the three main categories of collective motion: sideward flow, squeeze-out, and transverse expansion. In this alternative representation, the speed of collective expansion is shown to be slowest in the plane of the reaction, and is modulated sinusoidally according to fragment azimuth relative to this plane. This simple yet complete characterization of squeeze-out leads to its interpretation as an in-plane retardation of collective expansion. We test momentum space power law behavior by studying the momentum-space densities of fragments up to 4He. We conclude that the simple momentum-space power law consistently describes light participant fragment production at p⊥/A/ge0.2 GeV/c over a remarkably wide range of transverse momentum, azimuth relative to the reaction plane, rapidity, multiplicity and beam energy in intermediate-energy heavy-ion collisions and in particular, the increase in sideward flow with fragment mass is well described by a momentum- space power law under these conditions. This behavior is consistent with composite fragment formation through a statistical coalescence mechanism in momentum space. Our conclusion supports the use of models without composite formation to interpret flow

Rise of an alternative majority against opinion leaders

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Tucci, K.; González-Avella, J. C.; Cosenza, M. G.

2016-03-01

We investigate the role of opinion leaders or influentials in the collective behavior of a social system. Opinion leaders are characterized by their unidirectional influence on other agents. We employ a model based on Axelrod's dynamics for cultural interaction among social agents that allows for non-interacting states. We find three collective phases in the space of parameters of the system, given by the fraction of opinion leaders and a quantity representing the number of available states: one ordered phase having the state imposed by the leaders; another nontrivial ordered phase consisting of a majority group in a state orthogonal or alternative to that of the opinion leaders, and a disordered phase, where many small groups coexist. We show that the spontaneous rise of an alternative group in the presence of opinion leaders depends on the existence of a minimum number of long-range connections in the underlying network. This phenomenon challenges the common idea that influentials are fundamental to propagation processes in society, such as the formation of public opinion.

Observational learning and workplace safety: the effects of viewing the collective behavior of multiple social models on the use of personal protective equipment.

Science.gov (United States)

Olson, Ryan; Grosshuesch, Ariel; Schmidt, Sara; Gray, Mary; Wipfli, Bradley

2009-10-01

The current project evaluated the effects of the collective behavior of multiple social models on the use of personal protective equipment (PPE). Prior to completing a simulated baggage-screening task, participants (N=64) watched a scripted training video that included three confederate trainees. Participants were randomly assigned to one of four manipulations, where different proportions of confederates were shown putting on over-ear sound mufflers before starting the task (0, 1, 2, or 3). White noise played at 70 decibels in the test room, and PPE use was observed unobtrusively through a lab window at five time intervals. The mean intervals of PPE use generally increased as the number of positive social models increased (0=0.63, 1=0.50, 2=1.25, 3=3.06), and differences between groups were significant [chi(2) (3, N=64)=14.92, preinforcement for compliance.

Academic and Behavioral Design Parameters for Cluster Randomized Trials in Kindergarten: An Analysis of the Early Childhood Longitudinal Study 2011 Kindergarten Cohort (ECLS-K 2011).

Science.gov (United States)

Hedberg, E C

2016-06-28

There is an increased focus on randomized trials for proximal behavioral outcomes in early childhood research. However, planning sample sizes for such designs requires extant information on the size of effect, variance decomposition, and effectiveness of covariates. The purpose of this article is to employ a recent large representative sample of early childhood longitudinal study kindergartners to estimate design parameters for use in planning cluster randomized trials. A secondary objective is to compare the results of math and reading with the previous kindergartner cohort of 1999. For each measure, fall-spring gains in effect size units are calculated. In addition, multilevel models are fit to estimate variance components that are used to calculate intraclass correlations (ICCs) and R 2 statistics. The implications of the reported parameters are summarized in tables of required school sample sizes to detect small effects. The outcomes include information about student scores regarding learning behaviors, general behaviors, and academic abilities. Aside from math and reading, there were small gains in these measures from fall to spring, leading to effect sizes between about .1 and .2. In addition, the nonacademic ICCs are smaller than the academic ICCs but are still nontrivial. Use of a pretest covariate is generally effective in reducing the required sample size in power analyses. The ICCs for math and reading are smaller for the current sample compared with the 1999 sample. © The Author(s) 2016.

Collecting and analysing cost data for complex public health trials: reflections on practice

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Neha Batura

2014-02-01

Full Text Available Background: Current guidelines for the conduct of cost-effectiveness analysis (CEA are mainly applicable to facility-based interventions in high-income settings. Differences in the unit of analysis and the high cost of data collection can make these guidelines challenging to follow within public health trials in low- and middle- income settings. Objective: This paper reflects on the challenges experienced within our own work and proposes solutions that may be useful to others attempting to collect, analyse, and compare cost data between public health research sites in low- and middle-income countries. Design: We describe the generally accepted methods (norms for collecting and analysing cost data in a single-site trial from the provider perspective. We then describe our own experience applying these methods within eight comparable cluster randomised, controlled, trials. We describe the strategies used to maximise adherence to the norm, highlight ways in which we deviated from the norm, and reflect on the learning and limitations that resulted. Results: When the expenses incurred by a number of small research sites are used to estimate the cost-effectiveness of delivering an intervention on a national scale, then deciding which expenses constitute ‘start-up’ costs will be a nontrivial decision that may differ among sites. Similarly, the decision to include or exclude research or monitoring and evaluation costs can have a significant impact on the findings. We separated out research costs and argued that monitoring and evaluation costs should be reported as part of the total trial cost. The human resource constraints that we experienced are also likely to be common to other trials. As we did not have an economist in each site, we collaborated with key personnel at each site who were trained to use a standardised cost collection tool. This approach both accommodated our resource constraints and served as a knowledge sharing and capacity

Collecting and analysing cost data for complex public health trials: reflections on practice

Science.gov (United States)

Batura, Neha; Pulkki-Brännström, Anni-Maria; Agrawal, Priya; Bagra, Archana; Haghparast-Bidgoli, Hassan; Bozzani, Fiammetta; Colbourn, Tim; Greco, Giulia; Hossain, Tanvir; Sinha, Rajesh; Thapa, Bidur; Skordis-Worrall, Jolene

2014-01-01

Background Current guidelines for the conduct of cost-effectiveness analysis (CEA) are mainly applicable to facility-based interventions in high-income settings. Differences in the unit of analysis and the high cost of data collection can make these guidelines challenging to follow within public health trials in low- and middle- income settings. Objective This paper reflects on the challenges experienced within our own work and proposes solutions that may be useful to others attempting to collect, analyse, and compare cost data between public health research sites in low- and middle-income countries. Design We describe the generally accepted methods (norms) for collecting and analysing cost data in a single-site trial from the provider perspective. We then describe our own experience applying these methods within eight comparable cluster randomised, controlled, trials. We describe the strategies used to maximise adherence to the norm, highlight ways in which we deviated from the norm, and reflect on the learning and limitations that resulted. Results When the expenses incurred by a number of small research sites are used to estimate the cost-effectiveness of delivering an intervention on a national scale, then deciding which expenses constitute ‘start-up’ costs will be a nontrivial decision that may differ among sites. Similarly, the decision to include or exclude research or monitoring and evaluation costs can have a significant impact on the findings. We separated out research costs and argued that monitoring and evaluation costs should be reported as part of the total trial cost. The human resource constraints that we experienced are also likely to be common to other trials. As we did not have an economist in each site, we collaborated with key personnel at each site who were trained to use a standardised cost collection tool. This approach both accommodated our resource constraints and served as a knowledge sharing and capacity building process within the

Quantifying trading behavior in financial markets using Google Trends.

Science.gov (United States)

Preis, Tobias; Moat, Helen Susannah; Stanley, H Eugene

2013-01-01

Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as "early warning signs" of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.

Fabrication of Biomimetic Fog-Collecting Superhydrophilic-Superhydrophobic Surface Micropatterns Using Femtosecond Lasers.

Science.gov (United States)

Kostal, Elisabeth; Stroj, Sandra; Kasemann, Stephan; Matylitsky, Victor; Domke, Matthias

2018-03-06

The exciting functionalities of natural superhydrophilic and superhydrophobic surfaces served as inspiration for a variety of biomimetic designs. In particular, the combination of both extreme wetting states to micropatterns opens up interesting applications, as the example of the fog-collecting Namib Desert beetle shows. In this paper, the beetle's elytra were mimicked by a novel three-step fabrication method to increase the fog-collection efficiency of glasses. In the first step, a double-hierarchical surface structure was generated on Pyrex wafers using femtosecond laser structuring, which amplified the intrinsic wetting property of the surface and made it superhydrophilic (water contact angle 150°). In the last step, the Teflon-like coating was selectively removed by fs-laser ablation to uncover superhydrophilic spots below the superhydrophobic surface, following the example of the Namib Desert beetle's fog-collecting elytra. To investigate the influence on the fog-collection behavior, (super)hydrophilic, (super)hydrophobic, and low and high contrast wetting patterns were fabricated on glass wafers using selected combinations of these three processing steps and were exposed to fog in an artificial nebulizer setup. This experiment revealed that high-contrast wetting patterns collected the highest amount of fog and enhanced the fog-collection efficiency by nearly 60% compared to pristine Pyrex glass. The comparison of the fog-collection behavior of the six samples showed that the superior fog-collection efficiency of surface patterns with extreme wetting contrast is due to the combination of water attraction and water repellency: the superhydrophilic spots act as drop accumulation areas, whereas the surrounding superhydrophobic areas allow a fast water transportation caused by gravity. The presented method enables a fast and flexible surface functionalization of a broad range of materials including transparent substrates, which offers exciting possibilities for

Who takes precautionary action in the face of the new H1N1 influenza? Prediction of who collects a free hand sanitizer using a health behavior model.

Directory of Open Access Journals (Sweden)

Tabea Reuter

Full Text Available BACKGROUND: In order to fight the spread of the novel H1N1 influenza, health authorities worldwide called for a change in hygiene behavior. Within a longitudinal study, we examined who collected a free bottle of hand sanitizer towards the end of the first swine flu pandemic wave in December 2009. METHODS: 629 participants took part in a longitudinal study assessing perceived likelihood and severity of an H1N1 infection, and H1N1 influenza related negative affect (i.e., feelings of threat, concern, and worry at T1 (October 2009, week 43-44 and T2 (December 2009, week 51-52. Importantly, all participants received a voucher for a bottle of hand sanitizer at T2 which could be redeemed in a university office newly established for this occasion at T3 (ranging between 1-4 days after T2. RESULTS: Both a sequential longitudinal model (M2 as well as a change score model (M3 showed that greater perceived likelihood and severity at T1 (M2 or changes in perceived likelihood and severity between T1 and T2 (M3 did not directly drive protective behavior (T3, but showed a significant indirect impact on behavior through H1N1 influenza related negative affect. Specifically, increases in perceived likelihood (β = .12, severity (β = .24 and their interaction (β = .13 were associated with a more pronounced change in negative affect (M3. The more threatened, concerned and worried people felt (T2, the more likely they were to redeem the voucher at T3 (OR = 1.20. CONCLUSIONS: Affective components need to be considered in health behavior models. Perceived likelihood and severity of an influenza infection represent necessary but not sufficient self-referential knowledge for paving the way for preventive behaviors.

Who takes precautionary action in the face of the new H1N1 influenza? Prediction of who collects a free hand sanitizer using a health behavior model.

Science.gov (United States)

Reuter, Tabea; Renner, Britta

2011-01-01

In order to fight the spread of the novel H1N1 influenza, health authorities worldwide called for a change in hygiene behavior. Within a longitudinal study, we examined who collected a free bottle of hand sanitizer towards the end of the first swine flu pandemic wave in December 2009. 629 participants took part in a longitudinal study assessing perceived likelihood and severity of an H1N1 infection, and H1N1 influenza related negative affect (i.e., feelings of threat, concern, and worry) at T1 (October 2009, week 43-44) and T2 (December 2009, week 51-52). Importantly, all participants received a voucher for a bottle of hand sanitizer at T2 which could be redeemed in a university office newly established for this occasion at T3 (ranging between 1-4 days after T2). Both a sequential longitudinal model (M2) as well as a change score model (M3) showed that greater perceived likelihood and severity at T1 (M2) or changes in perceived likelihood and severity between T1 and T2 (M3) did not directly drive protective behavior (T3), but showed a significant indirect impact on behavior through H1N1 influenza related negative affect. Specifically, increases in perceived likelihood (β = .12), severity (β = .24) and their interaction (β = .13) were associated with a more pronounced change in negative affect (M3). The more threatened, concerned and worried people felt (T2), the more likely they were to redeem the voucher at T3 (OR = 1.20). Affective components need to be considered in health behavior models. Perceived likelihood and severity of an influenza infection represent necessary but not sufficient self-referential knowledge for paving the way for preventive behaviors.

Acoustic frequency filter based on anisotropic topological phononic crystals

KAUST Repository

Chen, Zeguo

2017-11-02

We present a design of acoustic frequency filter based on a two-dimensional anisotropic phononic crystal. The anisotropic band structure exhibits either a directional or a combined (global + directional) bandgap at certain frequency regions, depending on the geometry. When the time-reversal symmetry is broken, it may introduce a topologically nontrivial bandgap. The induced nontrivial bandgap and the original directional bandgap result in various interesting wave propagation behaviors, such as frequency filter. We develop a tight-binding model to characterize the effective Hamiltonian of the system, from which the contribution of anisotropy is explicitly shown. Different from the isotropic cases, the Zeeman-type splitting is not linear and the anisotropic bandgap makes it possible to achieve anisotropic propagation characteristics along different directions and at different frequencies.

Acoustic frequency filter based on anisotropic topological phononic crystals

KAUST Repository

Chen, Zeguo; Zhao, Jiajun; Mei, Jun; Wu, Ying

2017-01-01

We present a design of acoustic frequency filter based on a two-dimensional anisotropic phononic crystal. The anisotropic band structure exhibits either a directional or a combined (global + directional) bandgap at certain frequency regions, depending on the geometry. When the time-reversal symmetry is broken, it may introduce a topologically nontrivial bandgap. The induced nontrivial bandgap and the original directional bandgap result in various interesting wave propagation behaviors, such as frequency filter. We develop a tight-binding model to characterize the effective Hamiltonian of the system, from which the contribution of anisotropy is explicitly shown. Different from the isotropic cases, the Zeeman-type splitting is not linear and the anisotropic bandgap makes it possible to achieve anisotropic propagation characteristics along different directions and at different frequencies.

Impact of the Good Behavior Game on Special Education Teachers

Science.gov (United States)

Hopman, Juliette A. B.; van Lier, Pol A. C.; van der Ende, Jan; Struiksma, Chris; Wubbels, Theo; Verhulst, Frank C.; Maras, Athanasios; Breeman, Linda D.; Tick, Nouchka T.

2018-01-01

This study tested effects of a program that offers teachers universal classroom management strategies, on teachers' burnout symptoms and self-efficacy, and their teaching behaviors. Data were collected from 147 teachers (mean age = 38.4 years, SD = 10.8) in 15 special secondary education schools for students with emotional and behavioral problems,…

Online Behavioral Advertising: A Literature Review and Research Agenda

OpenAIRE

Boerman, S.C.; Kruikemeier, S.; Zuiderveen Borgesius, F.J.

2017-01-01

Advertisers are increasingly monitoring people's online behavior and using the information collected to show people individually targeted advertisements. This phenomenon is called online behavioral advertising (OBA). Although advertisers can benefit from OBA, the practice also raises concerns about privacy. Therefore, OBA has received much attention from advertisers, consumers, policymakers, and scholars. Despite this attention, there is neither a strong definition of OBA nor a clear accumula...

Special Education Teachers' Perceptions and Intentions toward Data Collection

Science.gov (United States)

Ruble, Lisa A.; McGrew, John H.; Wong, Wing Hang; Missall, Kristen N.

2018-01-01

Although data-based decision making is an evidence-based practice, many special educators have difficulty applying the practice within daily routines. We applied the theory of planned behavior (TPB) to understand the influences that promote or hinder early childhood special educators' intentions to collect data. We assessed three influences on…

Informatics to support the IOM social and behavioral domains and measures.

Science.gov (United States)

Hripcsak, George; Forrest, Christopher B; Brennan, Patricia Flatley; Stead, William W

2015-07-01

Consistent collection and use of social and behavioral determinants of health can improve clinical care, prevention and general health, patient satisfaction, research, and public health. A recent Institute of Medicine committee defined a panel of 11 domains and 12 measures to be included in electronic health records. Incorporating the panel into practice creates a number of informatics research opportunities as well as challenges. The informatics issues revolve around standardization, efficient collection and review, decision support, and support for research. The informatics community can aid the effort by simultaneously optimizing the collection of the selected measures while also partnering with social science researchers to develop and validate new sources of information about social and behavioral determinants of health. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.

The Relationship Between Coat Color and Aggressive Behaviors in the Domestic Cat

OpenAIRE

Stelow, EA; Bain, MJ; Kass, PH

2015-01-01

© 2016 Taylor & Francis. The authors explored a possible relationship between coat color and aggressive behaviors in the domestic cat. This study used an Internet-based survey to collect information on coat color, affiliative behaviors toward cats/humans, agonistic behaviors toward cats/humans, other “problem” behaviors, and cat and guardian demographic data. A total of 1,432 cat guardians completed the online survey; after exclusions based on study protocol, data analysis included 1,274 co...

Wild Origins: The Evolving Nature of Animal Behavior

Science.gov (United States)

Flores, Ifigenia

For billions of years, evolution has been the driving force behind the incredible range of biodiversity on our planet. Wild Origins is a concept plan for an exhibition at the National Zoo that uses case studies of animal behavior to explain the theory of evolution. Behaviors evolve, just as physical forms do. Understanding natural selection can help us interpret animal behavior and vice-versa. A living collection, digital media, interactives, fossils, and photographs will relay stories of social behavior, sex, navigation and migration, foraging, domestication, and relationships between different species. The informal learning opportunities visitors are offered at the zoo will create a connection with the exhibition's teaching points. Visitors will leave with an understanding and sense of wonder at the evolutionary view of life.

Disruptive Behaviors in an Emergency Department: the Perspective of Physicians and Nurses

Directory of Open Access Journals (Sweden)

Maryam Maddineshat

2016-09-01

Full Text Available Introduction: Disruptive behaviors cause many problems in the workplace, especially in the emergency department (ED.This study was conducted to assess the physician’s and nurse’s perspective toward disruptive behaviors in the emergency department. Methods: In this cross-sectional study a total of 45 physicians and 110 nurses working in the emergency department of five general hospitals in Bojnurd participated. Data were collected using a translated, changed, and validated questionnaire (25 item. The collected data were analyzed by SPSS ver.13 software. Results: Findings showed that physicians gave more importance to nurse-physician relationships in the ED when compared to nurses’ perspective (90% vs. 70%. In this study, 81% of physicians and 52% of nurses exhibited disruptive behaviors. According to the participants these behaviors could result in adverse outcomes, such as stress (97%, job dissatisfaction and can compromise patient safety (53%, quality of care (72%, and errors (70%. Conclusion: Disruptive behaviors could have a negative effects on relationships and collaboration among medical staffs, and on patients’ quality of care as well. It is essential to provide some practical strategies for prevention of these behaviors.

Handheld computers for self-administered sensitive data collection: A comparative study in Peru

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Hughes James P

2008-03-01

Full Text Available Abstract Background Low-cost handheld computers (PDA potentially represent an efficient tool for collecting sensitive data in surveys. The goal of this study is to evaluate the quality of sexual behavior data collected with handheld computers in comparison with paper-based questionnaires. Methods A PDA-based program for data collection was developed using Open-Source tools. In two cross-sectional studies, we compared data concerning sexual behavior collected with paper forms to data collected with PDA-based forms in Ancon (Lima. Results The first study enrolled 200 participants (18–29 years. General agreement between data collected with paper format and handheld computers was 86%. Categorical variables agreement was between 70.5% and 98.5% (Kappa: 0.43–0.86 while numeric variables agreement was between 57.1% and 79.8% (Spearman: 0.76–0.95. Agreement and correlation were higher in those who had completed at least high school than those with less education. The second study enrolled 198 participants. Rates of responses to sensitive questions were similar between both kinds of questionnaires. However, the number of inconsistencies (p = 0.0001 and missing values (p = 0.001 were significantly higher in paper questionnaires. Conclusion This study showed the value of the use of handheld computers for collecting sensitive data, since a high level of agreement between paper and PDA responses was reached. In addition, a lower number of inconsistencies and missing values were found with the PDA-based system. This study has demonstrated that it is feasible to develop a low-cost application for handheld computers, and that PDAs are feasible alternatives for collecting field data in a developing country.

Dual Coding Theory Explains Biphasic Collective Computation in Neural Decision-Making

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Bryan C. Daniels

2017-06-01

Full Text Available A central question in cognitive neuroscience is how unitary, coherent decisions at the whole organism level can arise from the distributed behavior of a large population of neurons with only partially overlapping information. We address this issue by studying neural spiking behavior recorded from a multielectrode array with 169 channels during a visual motion direction discrimination task. It is well known that in this task there are two distinct phases in neural spiking behavior. Here we show Phase I is a distributed or incompressible phase in which uncertainty about the decision is substantially reduced by pooling information from many cells. Phase II is a redundant or compressible phase in which numerous single cells contain all the information present at the population level in Phase I, such that the firing behavior of a single cell is enough to predict the subject's decision. Using an empirically grounded dynamical modeling framework, we show that in Phase I large cell populations with low redundancy produce a slow timescale of information aggregation through critical slowing down near a symmetry-breaking transition. Our model indicates that increasing collective amplification in Phase II leads naturally to a faster timescale of information pooling and consensus formation. Based on our results and others in the literature, we propose that a general feature of collective computation is a “coding duality” in which there are accumulation and consensus formation processes distinguished by different timescales.

Dual Coding Theory Explains Biphasic Collective Computation in Neural Decision-Making.

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Daniels, Bryan C; Flack, Jessica C; Krakauer, David C

2017-01-01

A central question in cognitive neuroscience is how unitary, coherent decisions at the whole organism level can arise from the distributed behavior of a large population of neurons with only partially overlapping information. We address this issue by studying neural spiking behavior recorded from a multielectrode array with 169 channels during a visual motion direction discrimination task. It is well known that in this task there are two distinct phases in neural spiking behavior. Here we show Phase I is a distributed or incompressible phase in which uncertainty about the decision is substantially reduced by pooling information from many cells. Phase II is a redundant or compressible phase in which numerous single cells contain all the information present at the population level in Phase I, such that the firing behavior of a single cell is enough to predict the subject's decision. Using an empirically grounded dynamical modeling framework, we show that in Phase I large cell populations with low redundancy produce a slow timescale of information aggregation through critical slowing down near a symmetry-breaking transition. Our model indicates that increasing collective amplification in Phase II leads naturally to a faster timescale of information pooling and consensus formation. Based on our results and others in the literature, we propose that a general feature of collective computation is a "coding duality" in which there are accumulation and consensus formation processes distinguished by different timescales.

76 FR 81942 - Agency Information Collection Request 30-Day Public Comment Request

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2011-12-29

... Pregnancy Prevention Initiative demonstrate effects on adolescent sexual risk behavior and teenage pregnancy... Pregnancy Prevention Replication Evaluation: Implementation Data Collection--OMB No. OS-0990-NEW--The Office... coordinating adolescent pregnancy prevention evaluation efforts as part of [[Page 81943

Traveling Companions Add Complexity and Hinder Performance in the Spatial Behavior of Rats

DEFF Research Database (Denmark)

Dorfman, Alex; Nielbo, Kristoffer Laigaard; Eilam, David

2016-01-01

-mate. It was found that the presence of another rat substantially altered the rats' spatial behavior. Lone rats collected the food items faster while traveling a shorter distance, reflecting a higher efficiency of task completion. When accompanied by a partner, however, the rats traveled together, visiting the same......We sought to uncover the impact of the social environment on the spatial behavior of rats. Food-deprived rats were trained in a spatial task of collecting food items from 16 equispaced objects. Following training, they were tested, first alone and then with a similarly-trained cage...... of rats’ natural behavior. Revisiting an object following food depletion implies that searching for food was not the main driving force in the rats' spatial behavior. Specifically, despite food deprivation, rats were more attentive to one another than to the food. This could be adaptive, since foraging...

Behavioral profiles of the captive juvenile whooping crane (Grus americana) as an indicator of reintroduction behavior and survival

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Kreger, M.D.

2003-01-01

Predation by bobcats (Lynx rufus) has been the greatest cause of mortality of whooping cranes (Grus americana) in the reintroduced population in Florida. This study investigated whether the behavior of juvenile cranes during captive rearing and shortly after release can be used to predict their chances of survival once released in the wild. This study also examined differences in behavior based on rearing treatments and whether differences observed during rearing continued at the release site. Experimental rearing treatments were parent reared (PR), hand reared (RR), and hand reared with exercise (HRE). Two annual cycles of cranes were observed from hatch to 20 weeks of age in captivity (n=56 birds). Post-release bebavioral data were collected at the release site for a minimum of two weeks (n=34 birds), with mortality data collected up to one year post release (n=38 birds). Behavioral time budgets were compared using repeated measures ANOVA. Logistic regression was used to build a model to identify behaviors that were associated with first-year survival. During rearing, PR birds were the most vigilant. There were no behavioral differences between HR and HRE birds. Generally, rearing treatments had few long-term effects on the post-release behavior of the birds. The main behavioral differences during rearing and after release were the frequency of bouts and the percentage of time spent performing different behaviors. This may be attributed to foraging strategies and adaptation from captive conditions to the wild. Survival was not related to rearing treatment. Fifty-five percent of the birds survived the first year post-release based upon data pooled over two years. During rearing, the frequency of foraging bouts was positively correlated to survival. Survival was negatively correlated to the frequency of walking bouts during rearing, and release weight of the birds. These correlations accounted for 32 percent of the variability in survival. At the release site, 20

Linked lives: the intergenerational transmission of antisocial behavior.

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Thornberry, Terence P; Freeman-Gallant, Adrienne; Lizotte, Alan J; Krohn, Marvin D; Smith, Carolyn A

2003-04-01

There is a strong assumption of intergenerational continuity in behavior patterns, including antisocial behavior. Using a 3-generation, prospective study design, we examine the level of behavioral continuity between Generation 2 (G2) and Generation 3 (G3), and the role of economic disadvantage and parenting behaviors as mediating links. We estimate separate models for G2 fathers and G2 mothers. Data are drawn from the Rochester Youth Development Study, a longitudinal study begun in 1988 during G2's early adolescence (n = 1,000), which has collected prospective data on G2, their parents (G1), and now their G3 children. Results show that intergenerational continuity in antisocial behavior is evident, albeit somewhat modest. Parenting styles and financial stress do play a mediating role, although their effects vary by G2's gender. In general, adolescent delinquency plays a larger role in linking the generations for G2 fathers, whereas parenting behaviors and financial stress play a larger role for G2 mothers.

Influencing factors on hand hygiene behavior of nursing students based on theory of planned behavior: A descriptive survey study.

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Jeong, Sun Young; Kim, Kyung Mi

2016-01-01

Hand hygiene is the single most important measure to prevent transmission of infection, but the compliance rate of healthcare workers is relatively low. This study was conducted to identify the knowledge, beliefs, behavior, and affecting factors about hand hygiene among nursing students. A descriptive survey study. The study was carried out in two South Korean nursing schools. A total 208 nursing students participated in this study. Questionnaires were used to collect data. The percentage of correct answers in the survey section concerning hand hygiene knowledge was 68.1%. No significant difference in the knowledge, behavioral beliefs, normative beliefs, or control beliefs data was found related to general characteristics. Behavioral beliefs correlated with normative beliefs (r=.25, phand hygiene behavior (r=.17, p=.017), and control beliefs correlated with hand hygiene behavior (r=.18, p=.010). The results suggest that knowledge is not enough to change the beliefs related to hand hygiene; positive behavioral beliefs and strong control beliefs are also needed to increase hand hygiene compliance. Copyright © 2015 Elsevier Ltd. All rights reserved.

Effects of Network Performance on Smartphone User Behavior

OpenAIRE

Örblom, Markus

2015-01-01

While the relation between smartphone user behavior and contextual factors have been explored in previous research, the mobile networks’ influence on the smartphone user behavior is largely unknown. Through statistical analysis of a data set collected globally from ˜ 1000 users by an Android app called Ericsson Apps, this study investigates how the users’ app choices and app usage depend on the network performance. The results show, for instance, that the choice of app depends strongly on the...

Fast Food Consumption Behaviors in High-School Students based on the Theory of Planned Behavior (TPB

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Kamal Mirkarimi

2016-07-01

Full Text Available Background: Studies report inappropriate snack and junk food consumption patterns in children and young adults in Iran. The current survey was aimed to explore fast food consumption behaviors in high-school students based on the Theory of Planned Behavior. Materials and Methods: A cross-sectional study was done among 500 high-school students. Samples were selected based on cluster sampling method at first and simple random at second. Data were collected using a researcher-made questionnaire. To analyze, SPSS-16 and tests, including t-test, Chi-square, correlation coefficient and multiple regressions were used. Results: The monthly frequency of fast food consumption was 4.01. The TPB explained fast food use behaviors with R2 of 0.6, effectively. Results also represented that frequency of fast food consumption was meaningfully in line with behavioral intention (β = 0.60, P < 0.05 and subjective norms (β = 0.17, P < 0.05. Conclusion: It seems likely beneficial to consider important subjective norms (especially friends that may strongly effect on high-school student intention to use fast food. Also students perceived behavioral control must be increased.

A Behavioral Maturity Model to Establish Knowledge Management in an Organization

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C. S. Fashami

2017-06-01

Full Text Available Modern organizations need intangible assets such as organizational knowledge and human resources to gain competitive advantage in the market. Organizations can provide opportunities for behavioral maturity of managers to establish knowledge management. This study tries to develop a behavioral maturity model for managements to examine effectiveness of knowledge management. The study is conducted in Iran Insurance Company as an empirical case study. Twenty academic and organizational experts are selected for the study. Employees and managers of Iran Insurance Company are used to measure and test conceptual model (behavioral maturity of managers to establish knowledge management. Both interview and questionnaire tools are used to collect data. Fuzzy AHP and PLS methods are used to analyze the collected data. Fuzzy AHP results show that transformational leadership, human and social skills, knowledge orientation, emotional intelligence, trustful climate are identified as highly effective priorities.

Little behaviors with big impacts: Exploring the sense of community surrounding socially conscious consumption

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Devincenzo, Marie E. Hafey

The thesis is a study of socially conscious consumption practices and the meanings those behaviors have for consumers who participate in them. Psychological sense of community was used as the theoretical grounding for the study because it provided a way to examine socially conscious behaviors not solely as the behaviors of individuals but as behaviors within a social context with social meaning. Data were collected in two phases. First, a written, projective instrument compared cultural perceptions of various types of socially conscious consumption practices. Then, in-depth interviews were conducted to collect consumption narratives from participants and nonparticipants in a wind energy program called Blue Sky. The interviews were analyzed using a hermeneutical approach. The findings identified a new type of consumption community not recognized in prior literature: the principle based consumption community.

Gauge-fixing parameter dependence of two-point gauge-variant correlation functions

International Nuclear Information System (INIS)

Zhai, C.

1996-01-01

The gauge-fixing parameter ξ dependence of two-point gauge-variant correlation functions is studied for QED and QCD. We show that, in three Euclidean dimensions, or for four-dimensional thermal gauge theories, the usual procedure of getting a general covariant gauge-fixing term by averaging over a class of covariant gauge-fixing conditions leads to a nontrivial gauge-fixing parameter dependence in gauge-variant two-point correlation functions (e.g., fermion propagators). This nontrivial gauge-fixing parameter dependence modifies the large-distance behavior of the two-point correlation functions by introducing additional exponentially decaying factors. These factors are the origin of the gauge dependence encountered in some perturbative evaluations of the damping rates and the static chromoelectric screening length in a general covariant gauge. To avoid this modification of the long-distance behavior introduced by performing the average over a class of covariant gauge-fixing conditions, one can either choose a vanishing gauge-fixing parameter or apply an unphysical infrared cutoff. copyright 1996 The American Physical Society

Behavioral, Personality, and Communicative Predictors of Acceptance and Popularity in Early Adolescence

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Wolters, Nina; Knoors, Harry; Cillessen, Antonius H. N.; Verhoeven, Ludo

2014-01-01

This study examined the behavioral, personality, and communicative predictors of acceptance and popularity in 608 early adolescents. Data were collected with sociometric methods and ratings in 30 sixth-grade classrooms. Hierarchical regressions were run to predict acceptance and popularity from prosocial, antisocial, and withdrawn behavior,…

Servant leadership and employee voice behavior: a cross-level investigation in China.

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Yan, Aimin; Xiao, Yigui

2016-01-01

This study tested the influence and mechanisms of servant leadership on voice behavior, including the mediating role of psychological safety, and the moderating role of supervisor-subordinate Guanxi. Data were collected from 430 civil servants and their immediate supervisors in Changsha, China. Cross-Level investigation revealed that servant leadership had a significant influence on voice behavior, psychological safety mediated the relationship between servant leadership and voice behavior, while supervisor-subordinate Guanxi negatively moderated the relationship between servant leadership and voice behavior.

Enhancing the Evidence for Behavioral Counseling

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Alcántara, Carmela; Klesges, Lisa M.; Resnicow, Ken; Stone, Amy; Davidson, Karina W.

2015-01-01

U.S. Preventive Services Task Force (USPSTF) clinical guidelines at present rarely assign the highest grade recommendation to behavioral counseling interventions for chronic disease prevention or risk reduction because of concerns about the certainty and quality of the evidence base. As a result, the broad integration of behavioral counseling interventions in primary care remains elusive. Thus, there is an urgent need for novel perspectives on how to generate the highest-quality and -certainty evidence for primary care–focused behavioral counseling interventions. As members of the Society of Behavioral Medicine (SBM)—a multidisciplinary scientific organization committed to improving population health through behavior change—we review the USPSTF mandate and current recommendations for behavioral counseling interventions, and provide a perspective for the future that calls for concerted and coordinated efforts among SBM, USPSTF, and other organizations invested in the rapid and wider uptake of beneficial, feasible, and referable primary care–focused behavioral counseling interventions. This perspective highlights five areas for further development, including: (1) behavioral counseling–focused practice-based research networks; (2) promotion of USPSTF evidence standards and the increased use of pragmatic RCT design; (3) quality control and improvement procedures for behavioral counseling training; (4) systematic research on effective primary care–based collaborative care models; and (5) methodologic innovations that capitalize on disruptive technologies and healthcare transformation. Collective efforts to improve the health of all Americans in the 21st century and beyond must ensure that effective, feasible, and referable behavioral counseling interventions are embedded in modern primary care practice. PMID:26296553

Prediction and Analysis of students Behavior using BARC Algorithm

OpenAIRE

M.Sindhuja; Dr.S.Rajalakshmi; S.M.Nandagopal

2013-01-01

Educational Data mining is a recent trends where data mining methods are experimented for the improvement of student performance in academics. The work describes the mining of higher education students’ related attributes such as behavior, attitude and relationship. The data were collected from a higher education institution in terms of the mentioned attributes. The proposed work explored Behavior Attitude Relationship Clustering (BARC) Algorithm, which showed the improvement in students’ per...

Trends in the salience of data collected in a multi user virtual environment: An exploratory study

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Tutwiler, M. Shane

In this study, by exploring patterns in the degree of physical salience of the data the students collected, I investigated the relationship between the level of students' tendency to frame explanations in terms of complex patterns and evidence of how they attend to and select data in support of their developing understandings of causal relationships. I accomplished this by analyzing longitudinal data collected as part of a larger study of 143 7th grade students (clustered within 36 teams, 5 teachers, and 2 schools in the same Northeastern school district) as they navigated and collected data in an ecosystems-based multi-user virtual environment curriculum known as the EcoMUVE Pond module (Metcalf, Kamarainen, Tutwiler, Grotzer, Dede, 2011) . Using individual growth modeling (Singer & Willett, 2003) I found no direct link between student pre-intervention tendency to offer explanations containing complex causal components and patterns of physical salience-driven data collection (average physical salience level, number of low physical salience data points collected, and proportion of low physical salience data points collected), though prior science content knowledge did affect the initial status and rate of change of outcomes in the average physical salience level and proportion of low physical salience data collected over time. The findings of this study suggest two issues for consideration about the use of MUVEs to study student data collection behaviors in complex spaces. Firstly, the structure of the curriculum in which the MUVE is embedded might have a direct effect on what types of data students choose to collect. This undercuts our ability to make inferences about student-driven decisions to collect specific types of data, and suggests that a more open-ended curricular model might be better suited to this type of inquiry. Secondly, differences between teachers' choices in how to facilitate the units likely contribute to the variance in student data collection

78 FR 67175 - Proposed Collection; 60-Day Comment Request: Incident HIV/Hepatitis B Virus Infections in South...

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2013-11-08

... Comment Request: Incident HIV/ Hepatitis B Virus Infections in South African Blood Donors: Behavioral Risk... Collection: Incident HIV/Hepatitis B virus (HBV) infections in South African blood donors: Behavioral risk... (either antibody or antigen detection tests) to screen blood donors for HIV and Hepatitis-B Virus (HBV...

Pengaruh Dukungan Supervisor dan Pemberdayaan Terhadap Organizational Citizenship Behavior

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Tinjung Desy Nursanti

2014-05-01

Full Text Available Study aims to determine and obtain a clear picture of supportive supervisor, empowerment, and organizational citizenship behavior; and to determine the impact of supportive supervisor and empowerment towards organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Research used explanatory survey method, while the sample was taken from employees of the company. Research instrument (questionnaires was used as primary data collection to explain the causal relationship between supportive supervisor and empowerment on organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Analysis used simple linear regression and multiple linear regression method. Result of this study shows that there is significant influence between supportive supervisor and empowerment towards organizational citizenship behavior.

Behavioral activation and inhibition system's role in predicting addictive behaviors of patients with bipolar disorder of Roozbeh Psychiatric Hospital

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Abbasi, Moslem; Sadeghi, Hasan; Pirani, Zabih; Vatandoust, Leyla

2016-01-01

Background: Nowadays, prevalence of addictive behaviors among bipolar patients is considered to be a serious health threat by the World Health Organization. The aim of this study is to investigate the role of behavioral activation and inhibition systems in predicting addictive behaviors of male patients with bipolar disorder at the Roozbeh Psychiatric Hospital. Materials and Methods: The research method used in this study is correlation. The study population consisted of 80 male patients with bipolar disorder referring to the psychiatrics clinics of Tehran city in 2014 who were referred to the Roozbeh Psychiatric Hospital. To collect data, the international and comprehensive inventory diagnostic interview, behavioral activation and inhibition systems scale, and addictive behaviors scale were used. Results: The results showed that there is a positive and significant relationship between behavioral activation systems and addictive behaviors (addictive eating, alcohol addiction, television addiction, cigarette addiction, mobile addiction, etc.). In addition, correlation between behavioral inhibition systems and addictive behaviors (addictive eating, alcohol addiction, TV addiction, cigarette addiction, mobile addiction) is significantly negative. Finally, regression analysis showed that behavioral activation and inhibition systems could significantly predict 47% of addictive behaviors in patients with bipolar disorder. Conclusions: It can be said that the patients with bipolar disorder use substance and addictive behaviors for enjoyment and as pleasure stimulants; they also use substances to suppress unpleasant stimulants and negative emotions. These results indicate that behavioral activation and inhibition systems have an important role in the incidence and exacerbation of addictive behaviors. Therefore, preventive interventions in this direction seem to be necessary. PMID:28194203

76 FR 24497 - New Proposed Collection; Comment Request; Neuropsychosocial Measures Formative Research...

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2011-05-02

... and infrastructure burden, and cost) of tools to assess language, behavior, and neurodevelopment... biospecimen and physical measures, environmental, and study logistic information collection. These separate... Vanguard Study is to assess the feasibility, acceptability, and cost of the recruitment strategy, study...

Preparation of Teachers of Students with Emotional/Behavioral Disorders. Retrospective Series on Critical Issues in Emotional/Behavioral Disorders.

Science.gov (United States)

Bullock, Lyndal M., Ed.; Gable, Robert A., Ed.; Rutherford, Robert B., Jr., Ed.

The third in a series, this collection of previously published monographs examines the challenges of preparing teachers to work with students who have emotional and behavioral disorders (EBD). Monographs include: (1) "Issues in Training Teachers for the Seriously Emotionally Disturbed" (Frank H. Wood), which discusses preparing regular and special…

ASSESSING TAXPAYER BEHAVIOR IN UTILIZING E-FILLING TAX SYSTEM WITH THE PERSPECTIVE OF TECHNOLOGY ACCEPTANCE MODEL AND THE THEORY OF PLANNED BEHAVIOR

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Maharani H.

2017-07-01

Full Text Available This study aims to assess the factors which influence taxpayer behavior in utilizing e-filling tax system. This study combines Technology Acceptance Model and the Theory of Planned Behavior. The data was collected through a survey method. It took 100 respondents of the personal taxpayers of the Pratama Gresik Utara tax office's employee in utilizing the e-filing to submit their tax return. In order to assess the data, the researchers used Partial Least Square statistical method. The finding shows that the intention construct has a positive influence over the e-filling utilization behavior. Behavioral control has a positive influence over the behavior through the e-filing utilization intention. Easy of use, purpose, attitude, subjective norm, and behavioral control have a positive influence over the e-filing utilization intention. Credibility has a negative influence over the e-filing utilization intention. This study involved the Application Service Provider, Directorate General of Taxes, and KPP Pratama which have to more pay attention the behavior, intention, easy of use, purpose, attitude, subjective norm, and behavioral control of the taxpayer.

Unhealthy behaviors in adolescents: multibehavioral associations with psychosocial problems.

Science.gov (United States)

Busch, Vincent; De Leeuw, Johannes Robertus Josephus

2014-06-01

Several unhealthy behaviors are associated with psychosocial health in adolescents. Previous studies have shown that different adolescent health behaviors cluster, and, in order to understand these associations, it is important to investigate the relations between individual behaviors and psychosocial problems. This study addressed the research question "Are adolescent health behaviors associated with psychosocial problems, and to what extent do certain health behaviors confound the relations between other health behaviors and psychosocial problems in adolescents?" Self-reported questionnaire data on a broad range of health behaviors and demographics were collected from 2,690 high school students in the Netherlands in September 2012. After adjustment for demographic characteristics, nearly all unhealthy behaviors were found to be significantly associated with psychosocial problems. However, after correction for confounding by other behaviors, psychosocial problems were associated with fewer behaviors, namely compulsive internet use and videogame playing, smoking, cannabis use, and being bullied. These associations differed in boys and girls. In multibehavioral analyses adjusted for behavioral clustering, which can cause considerable interbehavioral confounding, several behaviors were associated with psychosocial problems in adolescents. This approach to behavior analysis provides a better insight into behaviors and psychosocial health, and the specific associations identified can be utilized when designing effective prevention programs, such as health-promoting school interventions.

Correlates of Precoital Behaviors, Intentions, and Sexual Initiation among Thai Adolescents

Science.gov (United States)

Atwood, Katharine A.; Zimmerman, Rick; Cupp, Pamela K.; Fongkaew, Warunee; Miller, Brenda A.; Byrnes, Hilary F.; Chamratrithirong, Aphichat; Rhucharoenpornpanich, Orratai; Chaiphet, Nonthathorn; Rosati, Michael J.; Chookhare, Warunee

2012-01-01

This paper examines the risk and protective factors associated with sexual behaviors among Thai youth ages 13-14 (N=420) living in Bangkok, Thailand. Cross-sectional data were collected using a random sample of households methodology. Three outcomes were assessed: (1) intention to engage in sexual intercourse, (2) pre-coital behaviors, and (3)…

Exploring Older Adults' Health Information Seeking Behaviors

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Manafo, Elizabeth; Wong, Sharon

2012-01-01

Objective: To explore older adults' (55-70 years) health information-seeking behaviors. Methods: Using a qualitative methodology, based on grounded theory, data were collected using in-depth interviews. Participants were community-living, older adults in Toronto, Canada who independently seek nutrition and health information. Interview transcripts…

Organizational behavior of employees of Tehran University of Medical Sciences.

Science.gov (United States)

Dargahi, Hossein

2012-01-01

Organizational behaviors are commonly acknowledged as fundamentals of organizational life that strongly influence both formal and informal organizational processes, interpersonal relationships, work environments, and pay and promotion policies. The current study aims to investigate political behavior tendencies among employees of Tehran University of Medical Sciences (TUMS). This cross-sectional, descriptive and analytical study was conducted on 810 TUMS employees at the headquarters of the Tehran University of Medical Sciences, Iran during 2010-2011. The research tool for data collection was a researcher-tailored questionnaire on political behaviors. The validity of the questionnaire was confirmed by seven management professors, and its reliability was tested by a pilot study using test-retest method which yielded a Cronbach's alpha coefficient of 0.71. The respondents were asked to fill the questionnaire and express their perceptions and tendencies to engage in organizational behaviors. The collected data was read to and analyzed by IBM SPSS environment and correlation analytical methods. Overall, 729 respondents filled and returned the questionnaire yielding a response rate of 90%. Most of the respondents indicated that they had no tendency to engage in political behavior. Moreover, we found that there was a significant correlation between sex, higher education degrees, tenure and the employees' tendency to engage in political behavior. The participants were not overtly political because of their personal belief, ethical values, and personal characters. Non-political and overtly political employees are both prejudicial for all organizations. Therefore, it seems that the medium rate of good political behavior is vital and prevalent in Iranian organizations.

Servant leadership and employee voice behavior: a cross-level investigation in China

OpenAIRE

Yan, Aimin; Xiao, Yigui

2016-01-01

This study tested the influence and mechanisms of servant leadership on voice behavior, including the mediating role of psychological safety, and the moderating role of supervisor-subordinate Guanxi. Data were collected from 430 civil servants and their immediate supervisors in Changsha, China. Cross-Level investigation revealed that servant leadership had a significant influence on voice behavior, psychological safety mediated the relationship between servant leadership and voice behavior, w...

A conceptual model of nurses' goal orientation, service behavior, and service performance.

Science.gov (United States)

Chien, Chun-Cheng; Chou, Hsin-Kai; Hung, Shuo-Tsung

2008-01-01

Based on the conceptual framework known as the "service triangle," the authors constructed a model of nurses' goal orientation, service behavior, and service performance to investigate the antecedents and consequences of the medical service behavior provided by nurses. This cross-sectional study collected data from 127 nurses in six hospitals using a mail-in questionnaire. Analysis of the model revealed that the customer-oriented behavior of nurses had a positive influence on organizational citizenship behavior; and both of these behaviors had a significant positive influence on service performance. The results also indicate that a higher learning goal orientation among nurses was associated with the performance of both observable customer-oriented behavior and organizational-citizenship behavior.

Structural analysis of behavioral networks from the Internet

International Nuclear Information System (INIS)

Meiss, M R; Menczer, F; Vespignani, A

2008-01-01

In spite of the Internet's phenomenal growth and social impact, many aspects of the collective communication behavior of its users are largely unknown. Understanding the structure and dynamics of the behavioral networks that connect users with each other and with services across the Internet is key to modeling the network and designing future applications. We present a characterization of the properties of the behavioral networks generated by several million users of the Abilene (Internet2) network. Structural features of these networks offer new insights into scaling properties of network activity and ways of distinguishing particular patterns of traffic. For example, we find that the structure of the behavioral network associated with Web activity is characterized by such extreme heterogeneity as to challenge any simple attempt to model Web server traffic