Functional RG approach to the Potts model
Ben Alì Zinati, Riccardo; Codello, Alessandro
2018-01-01
The critical behavior of the (n+1) -states Potts model in d-dimensions is studied with functional renormalization group techniques. We devise a general method to derive β-functions for continuous values of d and n and we write the flow equation for the effective potential (LPA’) when instead n is fixed. We calculate several critical exponents, which are found to be in good agreement with Monte Carlo simulations and ɛ-expansion results available in the literature. In particular, we focus on Percolation (n\\to0) and Spanning Forest (n\\to-1) which are the only non-trivial universality classes in d = 4,5 and where our methods converge faster.
Cellular potts models multiscale extensions and biological applications
Scianna, Marco
2013-01-01
A flexible, cell-level, and lattice-based technique, the cellular Potts model accurately describes the phenomenological mechanisms involved in many biological processes. Cellular Potts Models: Multiscale Extensions and Biological Applications gives an interdisciplinary, accessible treatment of these models, from the original methodologies to the latest developments. The book first explains the biophysical bases, main merits, and limitations of the cellular Potts model. It then proposes several innovative extensions, focusing on ways to integrate and interface the basic cellular Potts model at the mesoscopic scale with approaches that accurately model microscopic dynamics. These extensions are designed to create a nested and hybrid environment, where the evolution of a biological system is realistically driven by the constant interplay and flux of information between the different levels of description. Through several biological examples, the authors demonstrate a qualitative and quantitative agreement with t...
Potts-model grain growth simulations: Parallel algorithms and applications
Energy Technology Data Exchange (ETDEWEB)
Wright, S.A.; Plimpton, S.J.; Swiler, T.P. [and others
1997-08-01
Microstructural morphology and grain boundary properties often control the service properties of engineered materials. This report uses the Potts-model to simulate the development of microstructures in realistic materials. Three areas of microstructural morphology simulations were studied. They include the development of massively parallel algorithms for Potts-model grain grow simulations, modeling of mass transport via diffusion in these simulated microstructures, and the development of a gradient-dependent Hamiltonian to simulate columnar grain growth. Potts grain growth models for massively parallel supercomputers were developed for the conventional Potts-model in both two and three dimensions. Simulations using these parallel codes showed self similar grain growth and no finite size effects for previously unapproachable large scale problems. In addition, new enhancements to the conventional Metropolis algorithm used in the Potts-model were developed to accelerate the calculations. These techniques enable both the sequential and parallel algorithms to run faster and use essentially an infinite number of grain orientation values to avoid non-physical grain coalescence events. Mass transport phenomena in polycrystalline materials were studied in two dimensions using numerical diffusion techniques on microstructures generated using the Potts-model. The results of the mass transport modeling showed excellent quantitative agreement with one dimensional diffusion problems, however the results also suggest that transient multi-dimension diffusion effects cannot be parameterized as the product of the grain boundary diffusion coefficient and the grain boundary width. Instead, both properties are required. Gradient-dependent grain growth mechanisms were included in the Potts-model by adding an extra term to the Hamiltonian. Under normal grain growth, the primary driving term is the curvature of the grain boundary, which is included in the standard Potts-model Hamiltonian.
Ferromagnetic Potts models with multisite interaction
Schreiber, Nir; Cohen, Reuven; Haber, Simi
2018-03-01
We study the q -state Potts model with four-site interaction on a square lattice. Based on the asymptotic behavior of lattice animals, it is argued that when q ≤4 the system exhibits a second-order phase transition and when q >4 the transition is first order. The q =4 model is borderline. We find 1 /lnq to be an upper bound on Tc, the exact critical temperature. Using a low-temperature expansion, we show that 1 /(θ lnq ) , where θ >1 is a q -dependent geometrical term, is an improved upper bound on Tc. In fact, our findings support Tc=1 /(θ lnq ) . This expression is used to estimate the finite correlation length in first-order transition systems. These results can be extended to other lattices. Our theoretical predictions are confirmed numerically by an extensive study of the four-site interaction model using the Wang-Landau entropic sampling method for q =3 ,4 ,5 . In particular, the q =4 model shows an ambiguous finite-size pseudocritical behavior.
Non compact continuum limit of two coupled Potts models
International Nuclear Information System (INIS)
Vernier, Éric; Jacobsen, Jesper Lykke; Saleur, Hubert
2014-01-01
We study two Q-state Potts models coupled by the product of their energy operators, in the regime 2 3 (2) vertex model. It corresponds to a selfdual system of two antiferromagnetic Potts models, coupled ferromagnetically. We derive the Bethe ansatz equations and study them numerically for two arbitrary twist angles. The continuum limit is shown to involve two compact bosons and one non compact boson, with discrete states emerging from the continuum at appropriate twists. The non compact boson entails strong logarithmic corrections to the finite-size behaviour of the scaling levels, an understanding of which allows us to correct an earlier proposal for some of the critical exponents. In particular, we infer the full set of magnetic scaling dimensions (watermelon operators) of the Potts model. (paper)
Modified Migdal-Kadanoff renormalization for the Potts model
Chen, H. H.; Lee, Felix; Tseng, H. C.
1986-11-01
A modification of the Migdal-Kadanoff (MK) real-space renormalization technique is studied and applied to the q-state Potts model on the square and the simple cubic lattices. A parameter x which describes the boundary condition is introduced to the cluster-decimation (CD) approximation. When x=2, the present method is the same as the CD approximation, and in the limit x-->∞ this method reduces to the MK technique. Critical temperatures and exponents of the Potts model are calculated for 0
High-temperature series expansions for random Potts models
Directory of Open Access Journals (Sweden)
M.Hellmund
2005-01-01
Full Text Available We discuss recently generated high-temperature series expansions for the free energy and the susceptibility of random-bond q-state Potts models on hypercubic lattices. Using the star-graph expansion technique, quenched disorder averages can be calculated exactly for arbitrary uncorrelated coupling distributions while keeping the disorder strength p as well as the dimension d as symbolic parameters. We present analyses of the new series for the susceptibility of the Ising (q=2 and 4-state Potts model in three dimensions up to the order 19 and 18, respectively, and compare our findings with results from field-theoretical renormalization group studies and Monte Carlo simulations.
Lung Cancer Pathological Image Analysis Using a Hidden Potts Model
Directory of Open Access Journals (Sweden)
Qianyun Li
2017-06-01
Full Text Available Nowadays, many biological data are acquired via images. In this article, we study the pathological images scanned from 205 patients with lung cancer with the goal to find out the relationship between the survival time and the spatial distribution of different types of cells, including lymphocyte, stroma, and tumor cells. Toward this goal, we model the spatial distribution of different types of cells using a modified Potts model for which the parameters represent interactions between different types of cells and estimate the parameters of the Potts model using the double Metropolis-Hastings algorithm. The double Metropolis-Hastings algorithm allows us to simulate samples approximately from a distribution with an intractable normalizing constant. Our numerical results indicate that the spatial interaction between the lymphocyte and tumor cells is significantly associated with the patient’s survival time, and it can be used together with the cell count information to predict the survival of the patients.
Lung Cancer Pathological Image Analysis Using a Hidden Potts Model
Li, Qianyun; Yi, Faliu; Wang, Tao; Xiao, Guanghua; Liang, Faming
2017-01-01
Nowadays, many biological data are acquired via images. In this article, we study the pathological images scanned from 205 patients with lung cancer with the goal to find out the relationship between the survival time and the spatial distribution of different types of cells, including lymphocyte, stroma, and tumor cells. Toward this goal, we model the spatial distribution of different types of cells using a modified Potts model for which the parameters represent interactions between different types of cells and estimate the parameters of the Potts model using the double Metropolis-Hastings algorithm. The double Metropolis-Hastings algorithm allows us to simulate samples approximately from a distribution with an intractable normalizing constant. Our numerical results indicate that the spatial interaction between the lymphocyte and tumor cells is significantly associated with the patient’s survival time, and it can be used together with the cell count information to predict the survival of the patients. PMID:28615918
Potts model partition functions on two families of fractal lattices
Gong, Helin; Jin, Xian'an
2014-11-01
The partition function of q-state Potts model, or equivalently the Tutte polynomial, is computationally intractable for regular lattices. The purpose of this paper is to compute partition functions of q-state Potts model on two families of fractal lattices. Based on their self-similar structures and by applying the subgraph-decomposition method, we divide their Tutte polynomials into two summands, and for each summand we obtain a recursive formula involving the other summand. As a result, the number of spanning trees and their asymptotic growth constants, and a lower bound of the number of connected spanning subgraphs or acyclic root-connected orientations for each of such two lattices are obtained.
The information geometry of the one-dimensional Potts model
International Nuclear Information System (INIS)
Dolan, B P; Johnston, D A; Kenna, R
2002-01-01
In various statistical-mechanical models the introduction of a metric into the space of parameters (e.g. the temperature variable, β, and the external field variable, h, in the case of spin models) gives an alternative perspective on the phase structure. For the one-dimensional Ising model the scalar curvature, R, of this metric can be calculated explicitly in the thermodynamic limit and is found to be R = 1 + cosh(h)/√sinh 2 (h) + exp(-4β). This is positive definite and, for physical fields and temperatures, diverges only at the zero-temperature, zero-field 'critical point' of the model. In this paper we calculate R for the one-dimensional q-state Potts model finding an expression of the form R = A(q, β, h) + B(q, β, h)/√η(q, β, h), where η(q, β, h) is the Potts analogue of sinh 2 (h) + exp(-4β). This is no longer positive definite, but once again it diverges only at the critical point in the space of real parameters. We remark, however, that a naive analytic continuation to complex field reveals a further divergence in the Ising and Potts curvatures at the Lee-Yang edge
Academic Meeting Scheduling Using an Antiferromagnetic Potts Model
Kudo, Kazue
2017-07-01
Scheduling parallel sessions of an academic meeting is a complicated task. If each presentation is assigned to an appropriate session, an antiferromagnetic Potts model can be used for semi-automatic timetabling. The timetabling method proposed here is based on graph coloring and includes additional constraints to be considered in a practical situation. We examine the feasibility of semi-automatic timetabling in some practical examples.
Kinetic Monte Carlo Potts Model for Simulating a High Burnup Structure in UO2
International Nuclear Information System (INIS)
Oh, Jae-Yong; Koo, Yang-Hyun; Lee, Byung-Ho
2008-01-01
A Potts model, based on the kinetic Monte Carlo method, was originally developed for magnetic domain evolutions, but it was also proposed as a model for a grain growth in polycrystals due to similarities between Potts domain structures and grain structures. It has modeled various microstructural phenomena such as grain growths, a recrystallization, a sintering, and so on. A high burnup structure (HBS) is observed in the periphery of a high burnup UO 2 fuel. Although its formation mechanism is not clearly understood yet, its characteristics are well recognized: The HBS microstructure consists of very small grains and large bubbles instead of original as-sintered grains. A threshold burnup for the HBS is observed at a local burnup 60-80 Gwd/tM, and the threshold temperature is 1000-1200 .deg. C. Concerning a energy stability, the HBS can be created if the system energy of the HBS is lower than that of the original structure in an irradiated UO 2 . In this paper, a Potts model was implemented for simulating the HBS by calculating system energies, and the simulation results were compared with the HBS characteristics mentioned above
Critical manifold of the kagome-lattice Potts model
Lykke Jacobsen, Jesper; Scullard, Christian R.
2012-12-01
Any two-dimensional infinite regular lattice G can be produced by tiling the plane with a finite subgraph B⊆G we call B a basis of G. We introduce a two-parameter graph polynomial PB(q, v) that depends on B and its embedding in G. The algebraic curve PB(q, v) = 0 is shown to provide an approximation to the critical manifold of the q-state Potts model, with coupling v = eK - 1, defined on G. This curve predicts the phase diagram not only in the physical ferromagnetic regime (v > 0), but also in the antiferromagnetic (v computation of PB(q, v) can be used to detect exact solvability of the Potts model on G. We illustrate the method for two choices of G: the square lattice, where the Potts model has been exactly solved, and the kagome lattice, where it has not. For the square lattice we correctly reproduce the known phase diagram, including the antiferromagnetic transition and the singularities in the Berker-Kadanoff phase at certain Beraha numbers. For the kagome lattice, taking the smallest basis with six edges we recover a well-known (but now refuted) conjecture of F Y Wu. Larger bases provide successive improvements on this formula, giving a natural extension of Wu’s approach. We perform large-scale numerical computations for comparison and find excellent agreement with the polynomial predictions. For v > 0 the accuracy of the predicted critical coupling vc is of the order 10-4 or 10-5 for the six-edge basis, and improves to 10-6 or 10-7 for the largest basis studied (with 36 edges). This article is part of ‘Lattice models and integrability’, a special issue of Journal of Physics A: Mathematical and Theoretical in honour of F Y Wu's 80th birthday.
Scale-free random graphs and Potts model
Indian Academy of Sciences (India)
(esrh0 + re−sh0 )nG(s),. (14) where nG(s) is the number of s-clusters, a cluster with s vertices in a given graph. G. In particular, ZN (q, 0) = (qC), where C = ∑ s nG(s) is the total number of clusters in graph G. Thus ZN (q, 0) is the generating function of C. The magnetization of the Potts model at q = 1 is m(1,h0) = lim q→1. 1.
A hybrid parallel framework for the cellular Potts model simulations
Energy Technology Data Exchange (ETDEWEB)
Jiang, Yi [Los Alamos National Laboratory; He, Kejing [SOUTH CHINA UNIV; Dong, Shoubin [SOUTH CHINA UNIV
2009-01-01
The Cellular Potts Model (CPM) has been widely used for biological simulations. However, most current implementations are either sequential or approximated, which can't be used for large scale complex 3D simulation. In this paper we present a hybrid parallel framework for CPM simulations. The time-consuming POE solving, cell division, and cell reaction operation are distributed to clusters using the Message Passing Interface (MPI). The Monte Carlo lattice update is parallelized on shared-memory SMP system using OpenMP. Because the Monte Carlo lattice update is much faster than the POE solving and SMP systems are more and more common, this hybrid approach achieves good performance and high accuracy at the same time. Based on the parallel Cellular Potts Model, we studied the avascular tumor growth using a multiscale model. The application and performance analysis show that the hybrid parallel framework is quite efficient. The hybrid parallel CPM can be used for the large scale simulation ({approx}10{sup 8} sites) of complex collective behavior of numerous cells ({approx}10{sup 6}).
Ising and Potts models: binding disorder-and dimension effects
International Nuclear Information System (INIS)
Curado, E.M.F.
1983-01-01
Within the real space renormalization group framework, some thermal equilibrium properties of pure and disordered insulating systems are calculated. In the pure hypercubic lattice system, the Ising model surface tension and the correlation length of the q-state Potts model, which generalizes the former are analyzed. Several asymptotic behaviors are obtained (for the first time as far as we know) for both functions and the influence of dimension over them can be observed. Accurate numerical proposals for the surface tension are made in several dimensions, and the effect of the number of states (q) on the correlation lenght is shown. In disordered systems, attention is focused essentiall on those which can be theoretically represented by pure sistem Hamiltonians where probability distributions are assumed for the coupling constants (disorder in the bonds). It is obtained with high precision several approximate critical surfaces for the quenched square-lattice Ising model, whose probability distribution can assume two positive values (hence there is no frustration). These aproximate surfaces contain all the exact known points. In the cases where the coupling constant probability distribution can also assume negative values (allowing disordered and frustrated systems), a theoretical treatment which distinguishes the frustration effect from the dilution one is proposed. This distinction can be seen by the different ways in which the bonds of any series-parallel topological array combine. (Author) [pt
Eigenvalue amplitudes of the Potts model on a torus
Richard, Jean-François; Jacobsen, Jesper Lykke
2007-05-01
We consider the Q-state Potts model in the random-cluster formulation, defined on finite two-dimensional lattices of size L×N with toroidal boundary conditions. Due to the non-locality of the clusters, the partition function Z(L,N) cannot be written simply as a trace of the transfer matrix T. Using a combinatorial method, we establish the decomposition Z(L,N)=∑bK, where the characters K=∑( are simple traces. In this decomposition, the amplitudes b of the eigenvalues λ of T are labelled by the number l=0,1,…,L of clusters which are non-contractible with respect to the transfer ( N) direction, and a representation D of the cyclic group C. We obtain rigorously a general expression for b in terms of the characters of C, and, using number theoretic results, show that it coincides with an expression previously obtained in the continuum limit by Read and Saleur.
Scale-free random graphs and Potts model
Indian Academy of Sciences (India)
We introduce a simple algorithm that constructs scale-free random graphs efficiently: each vertex has a prescribed weight − (0 < < 1) and an edge can connect vertices and with rate . Corresponding equilibrium ensemble is identified and the problem is solved by the → 1 limit of the -state Potts ...
On phase transitions of the Potts model with three competing interactions on Cayley tree
Directory of Open Access Journals (Sweden)
S. Temir
2011-06-01
Full Text Available In the present paper we study a phase transition problem for the Potts model with three competing interactions, the nearest neighbors, the second neighbors and triples of neighbors and non-zero external field on Cayley tree of order two. We prove that for some parameter values of the model there is phase transition. We reduce the problem of describing by limiting Gibbs measures to the problem of solving a system of nonlinear functional equations. We extend the results obtained by Ganikhodjaev and Rozikov [Math. Phys. Anal. Geom., 2009, vol. 12, No. 2, 141-156] on phase transition for the Ising model to the Potts model setting.
Li, Hui-Jia; Wang, Yong; Wu, Ling-Yun; Zhang, Junhua; Zhang, Xiang-Sun
2012-07-01
The Potts model is a powerful tool to uncover community structure in complex networks. Here, we propose a framework to reveal the optimal number of communities and stability of network structure by quantitatively analyzing the dynamics of the Potts model. Specifically we model the community structure detection Potts procedure by a Markov process, which has a clear mathematical explanation. Then we show that the local uniform behavior of spin values across multiple timescales in the representation of the Markov variables could naturally reveal the network's hierarchical community structure. In addition, critical topological information regarding multivariate spin configuration could also be inferred from the spectral signatures of the Markov process. Finally an algorithm is developed to determine fuzzy communities based on the optimal number of communities and the stability across multiple timescales. The effectiveness and efficiency of our algorithm are theoretically analyzed as well as experimentally validated.
A Bayesian non-parametric Potts model with application to pre-surgical FMRI data.
Johnson, Timothy D; Liu, Zhuqing; Bartsch, Andreas J; Nichols, Thomas E
2013-08-01
The Potts model has enjoyed much success as a prior model for image segmentation. Given the individual classes in the model, the data are typically modeled as Gaussian random variates or as random variates from some other parametric distribution. In this article, we present a non-parametric Potts model and apply it to a functional magnetic resonance imaging study for the pre-surgical assessment of peritumoral brain activation. In our model, we assume that the Z-score image from a patient can be segmented into activated, deactivated, and null classes, or states. Conditional on the class, or state, the Z-scores are assumed to come from some generic distribution which we model non-parametrically using a mixture of Dirichlet process priors within the Bayesian framework. The posterior distribution of the model parameters is estimated with a Markov chain Monte Carlo algorithm, and Bayesian decision theory is used to make the final classifications. Our Potts prior model includes two parameters, the standard spatial regularization parameter and a parameter that can be interpreted as the a priori probability that each voxel belongs to the null, or background state, conditional on the lack of spatial regularization. We assume that both of these parameters are unknown, and jointly estimate them along with other model parameters. We show through simulation studies that our model performs on par, in terms of posterior expected loss, with parametric Potts models when the parametric model is correctly specified and outperforms parametric models when the parametric model in misspecified.
Random matrix theory and higher genus integrability: the quantum chiral Potts model
International Nuclear Information System (INIS)
Angles d'Auriac, J.Ch.; Maillard, J.M.; Viallet, C.M.
2002-01-01
We perform a random matrix theory (RMT) analysis of the quantum four-state chiral Potts chain for different sizes of the chain up to size L 8. Our analysis gives clear evidence of a Gaussian orthogonal ensemble (GOE) statistics, suggesting the existence of a generalized time-reversal invariance. Furthermore, a change from the (generic) GOE distribution to a Poisson distribution occurs when the integrability conditions are met. The chiral Potts model is known to correspond to a (star-triangle) integrability associated with curves of genus higher than zero or one. Therefore, the RMT analysis can also be seen as a detector of 'higher genus integrability'. (author)
Crossover scaling in the two-dimensional three-state Potts model
Directory of Open Access Journals (Sweden)
T. Nagai
2013-06-01
Full Text Available We apply simulated tempering and magnetizing (STM Monte Carlo simulations to the two-dimensional three-state Potts model in an external magnetic field in order to investigate the crossover scaling behaviour in the temperature-field plane at the Potts critical point and towards the Ising universality class for negative magnetic fields. Our data set has been generated by STM simulations of several square lattices with sizes up to 160x160 spins, supplemented by conventional canonical simulations of larger lattices at selected simulation points. We present careful scaling and finite-size scaling analyses of the crossover behaviour with respect to temperature, magnetic field and lattice size.
Potts Model with Invisible Colors : Random-Cluster Representation and Pirogov–Sinai Analysis
Enter, Aernout C.D. van; Iacobelli, Giulio; Taati, Siamak
We study a recently introduced variant of the ferromagnetic Potts model consisting of a ferromagnetic interaction among q “visible” colors along with the presence of r non-interacting “invisible” colors. We introduce a random-cluster representation for the model, for which we prove the existence of
Susceptibility of the Potts model in an hierarchical lattice: renormalisation group approach
International Nuclear Information System (INIS)
Silva, E. de P. da; Tsallis, C.
1989-01-01
Using a real space renormalization group method, the thermal dependence of the susceptibility of the q-state Potts model (ferro-and antiferromagnet) on self-dual Wheatstone-bridge-like hierarchical lattices is calculated. The influence of external fields on the antiferromagnetic phase diagram is discussed as well. (author) [pt
Fluctuation complexity of agent-based financial time series model by stochastic Potts system
Hong, Weijia; Wang, Jun
2015-03-01
Financial market is a complex evolved dynamic system with high volatilities and noises, and the modeling and analyzing of financial time series are regarded as the rather challenging tasks in financial research. In this work, by applying the Potts dynamic system, a random agent-based financial time series model is developed in an attempt to uncover the empirical laws in finance, where the Potts model is introduced to imitate the trading interactions among the investing agents. Based on the computer simulation in conjunction with the statistical analysis and the nonlinear analysis, we present numerical research to investigate the fluctuation behaviors of the proposed time series model. Furthermore, in order to get a robust conclusion, we consider the daily returns of Shanghai Composite Index and Shenzhen Component Index, and the comparison analysis of return behaviors between the simulation data and the actual data is exhibited.
Critical dynamics of the Potts model: short-time Monte Carlo simulations
International Nuclear Information System (INIS)
Silva, Roberto da; Drugowich de Felicio, J.R.
2004-01-01
We calculate the new dynamic exponent θ of the 4-state Potts model, using short-time simulations. Our estimates θ1=-0.0471(33) and θ2=-0.0429(11) obtained by following the behavior of the magnetization or measuring the evolution of the time correlation function of the magnetization corroborate the conjecture by Okano et al. [Nucl. Phys. B 485 (1997) 727]. In addition, these values agree with previous estimate of the same dynamic exponent for the two-dimensional Ising model with three-spin interactions in one direction, that is known to belong to the same universality class as the 4-state Potts model. The anomalous dimension of initial magnetization x0=zθ+β/ν is calculated by an alternative way that mixes two different initial conditions. We have also estimated the values of the static exponents β and ν. They are in complete agreement with the pertinent results of the literature
Multiscale multifractal DCCA and complexity behaviors of return intervals for Potts price model
Wang, Jie; Wang, Jun; Stanley, H. Eugene
2018-02-01
To investigate the characteristics of extreme events in financial markets and the corresponding return intervals among these events, we use a Potts dynamic system to construct a random financial time series model of the attitudes of market traders. We use multiscale multifractal detrended cross-correlation analysis (MM-DCCA) and Lempel-Ziv complexity (LZC) perform numerical research of the return intervals for two significant China's stock market indices and for the proposed model. The new MM-DCCA method is based on the Hurst surface and provides more interpretable cross-correlations of the dynamic mechanism between different return interval series. We scale the LZC method with different exponents to illustrate the complexity of return intervals in different scales. Empirical studies indicate that the proposed return intervals from the Potts system and the real stock market indices hold similar statistical properties.
Entropy-driven phase transition in low-temperature antiferromagnetic Potts models
Czech Academy of Sciences Publication Activity Database
Kotecký, R.; Sokal, A.D.; Swart, Jan M.
2014-01-01
Roč. 330, č. 3 (2014), s. 1339-1394 ISSN 0010-3616 R&D Projects: GA ČR GA201/09/1931; GA ČR GAP201/12/2613 Institutional support: RVO:67985556 Keywords : Antiferromagnetic Potts model * proper coloring * plane quadrangulation * phase transition * diced lattice Subject RIV: BA - General Mathematics Impact factor: 2.086, year: 2014 http://library.utia.cas.cz/separaty/2014/SI/swart-0429507.pdf
An explicit formula for the interface tension of the 2D Potts model
Borgs, Christian; Janke, Wolfhard
1992-11-01
We consider the exact correlation length calculations for the two-dimensional Potts model at the transition point β_t by Klümper, Schadschneider and Zittartz, and by Buffenoir and Wallon. We argue that the correlation length calculated by the latter authors is the correlation length in the disordered phase and then combine their result with duality and the assumption of complete wetting to give an explicit formula for the order-disorder interface tension σ_od of this model. The result is used to clarify a controversy stemming from different numerical simulations of σ_od.
Nogawa, Tomoaki
2011-12-05
The evaporation-condensation transition of the Potts model on a square lattice is numerically investigated by the Wang-Landau sampling method. An intrinsically system-size-dependent discrete transition between supersaturation state and phase-separation state is observed in the microcanonical ensemble by changing constrained internal energy. We calculate the microcanonical temperature, as a derivative of microcanonical entropy, and condensation ratio, and perform a finite-size scaling of them to indicate the clear tendency of numerical data to converge to the infinite-size limit predicted by phenomenological theory for the isotherm lattice gas model. © 2011 American Physical Society.
Jordan domain and Fatou set concerning diamond-like hierarchical Potts models
Jianyong, Qiao; Junyang, Gao
2007-01-01
For the Potts models on the diamond-like hierarchical lattice, the domains of the complex phases are indeed the Fatou components of a family of rational maps. In this paper, we deal with the relationships between this family of Fatou components and the Jordan domains and describe the topological structures of this family of Fatou components completely. The research was supported by the National Natural Science Foundation of China (Grant No 10625107) and the Program for New Century Excellent Talents in University (Grant No 04-0490).
Renormalization group study of the one-dimensional quantum Potts model
International Nuclear Information System (INIS)
Solyom, J.; Pfeuty, P.
1981-01-01
The phase transition of the classical two-dimensional Potts model, in particular the order of the transition as the number of components q increases, is studied by constructing renormalization group transformations on the equivalent one-dimensional quatum problem. It is shown that the block transformation with two sites per cell indicates the existence of a critical qsub(c) separating the small q and large q regions with different critical behaviours. The physically accessible fixed point for q>qsub(c) is a discontinuity fixed point where the specific heat exponent α=1 and therefore the transition is of first order. (author)
Simulation of High Burnup Structure in UO2 Using Potts Model
International Nuclear Information System (INIS)
Oh, Jae Yong; Koo, Yang Hyun; Lee, Byung Ho
2009-01-01
The evolution of a high burnup structure (HBS) in a light water reactor (LWR) UO 2 fuel was simulated using the Potts model. A simulation system for the Potts model was defined as a two-dimensional triangular lattice, for which the stored energy was calculated from both the irradiation damage of the UO 2 matrix and the formation of a grain boundary in the newly recrystallized small HBS grains. In the simulation, the evolution probability of the HBS is calculated by the system energy difference between before and after the Monte Carlo simulation step. The simulated local threshold burnup for the HBS formation was 62 MWd/kgU, consistent with the observed threshold burnup range of 60-80 MWd/kgU. The simulation revealed that the HBS was heterogeneously nucleated on the intergranular bubbles in the proximity of the threshold burnup and then additionally on the intragranular bubbles for a burnup above 86 MWd/kgU. In addition, the simulation carried out under a condition of no bubbles indicated that the bubbles played an important role in lowering the threshold burnup for the HBS formation, thereby enabling the HBS to be observed in the burnup range of conventional high burnup fuels
Multi-scale modeling in morphogenesis: a critical analysis of the cellular Potts model.
Directory of Open Access Journals (Sweden)
Anja Voss-Böhme
Full Text Available Cellular Potts models (CPMs are used as a modeling framework to elucidate mechanisms of biological development. They allow a spatial resolution below the cellular scale and are applied particularly when problems are studied where multiple spatial and temporal scales are involved. Despite the increasing usage of CPMs in theoretical biology, this model class has received little attention from mathematical theory. To narrow this gap, the CPMs are subjected to a theoretical study here. It is asked to which extent the updating rules establish an appropriate dynamical model of intercellular interactions and what the principal behavior at different time scales characterizes. It is shown that the longtime behavior of a CPM is degenerate in the sense that the cells consecutively die out, independent of the specific interdependence structure that characterizes the model. While CPMs are naturally defined on finite, spatially bounded lattices, possible extensions to spatially unbounded systems are explored to assess to which extent spatio-temporal limit procedures can be applied to describe the emergent behavior at the tissue scale. To elucidate the mechanistic structure of CPMs, the model class is integrated into a general multiscale framework. It is shown that the central role of the surface fluctuations, which subsume several cellular and intercellular factors, entails substantial limitations for a CPM's exploitation both as a mechanistic and as a phenomenological model.
The spectrum of massive excitations of 3d 3-state Potts model and universality
International Nuclear Information System (INIS)
Falcone, R.; Fiore, R.; Gravina, M.; Papa, A.
2007-01-01
We consider the mass spectrum of the 3d 3-state Potts model in the broken phase (a) near the second order Ising critical point in the temperature-magnetic field plane and (b) near the weakly first order transition point at zero magnetic field. In the case (a), we compare the mass spectrum with the prediction from universality of mass ratios in the 3d Ising class; in the case (b), we determine a mass ratio to be compared with the corresponding one in the spectrum of screening masses of the (3+1)d SU(3) pure gauge theory at finite temperature in the deconfined phase near the transition. The agreement in the comparison in the case (a) would represent a non-trivial test of validity of the conjecture of spectrum universality. A positive answer to the comparison in the case (b) would suggest the possibility to extend this conjecture to weakly first order phase transitions
Applications of neural networks to the studies of phase transitions of two-dimensional Potts models
Li, C.-D.; Tan, D.-R.; Jiang, F.-J.
2018-04-01
We study the phase transitions of two-dimensional (2D) Q-states Potts models on the square lattice, using the first principles Monte Carlo (MC) simulations as well as the techniques of neural networks (NN). We demonstrate that the ideas from NN can be adopted to study these considered phase transitions efficiently. In particular, even with a simple NN constructed in this investigation, we are able to obtain the relevant information of the nature of these phase transitions, namely whether they are first order or second order. Our results strengthen the potential applicability of machine learning in studying various states of matters. Subtlety of applying NN techniques to investigate many-body systems is briefly discussed as well.
Borot, G.; Bouttier, J.; Guitter, E.
2012-12-01
We use the nested loop approach to investigate loop models on random planar maps where the domains delimited by the loops are given two alternating colors, which can be assigned different local weights, hence allowing for an explicit Z2 domain symmetry breaking. Each loop receives a non-local weight n, as well as a local bending energy which controls loop turns. By a standard cluster construction that we review, the Q = n2 Potts model on general random maps is mapped to a particular instance of this problem with domain-non-symmetric weights. We derive in full generality a set of coupled functional relations for a pair of generating series which encode the enumeration of loop configurations on maps with a boundary of a given color, and solve it by extending well-known complex analytic techniques. In the case where loops are fully packed, we analyze in detail the phase diagram of the model and derive exact equations for the position of its non-generic critical points. In particular, we underline that the critical Potts model on general random maps is not self-dual whenever Q ≠ 1. In a model with domain-symmetric weights, we also show the possibility of a spontaneous domain symmetry breaking driven by the bending energy. This article is part of ‘Lattice models and integrability’, a special issue of Journal of Physics A: Mathematical and Theoretical in honour of F Y Wu's 80th birthday.
Finite-size behaviour of generalized susceptibilities in the whole phase plane of the Potts model
Pan, Xue; Zhang, Yanhua; Chen, Lizhu; Xu, Mingmei; Wu, Yuanfang
2018-01-01
We study the sign distribution of generalized magnetic susceptibilities in the temperature-external magnetic field plane using the three-dimensional three-state Potts model. We find that the sign of odd-order susceptibility is opposite in the symmetric (disorder) and broken (order) phases, but that of the even-order one remains positive when it is far away from the phase boundary. When the critical point is approached from the crossover side, negative fourth-order magnetic susceptibility is observable. It is also demonstrated that non-monotonic behavior occurs in the temperature dependence of the generalized susceptibilities of the energy. The finite-size scaling behavior of the specific heat in this model is mainly controlled by the critical exponent of the magnetic susceptibility in the three-dimensional Ising universality class. Supported by Fund Project of National Natural Science Foundation of China (11647093, 11405088, 11521064), Fund Project of Sichuan Provincial Department of Education (16ZB0339), Fund Project of Chengdu Technological University (2016RC004) and the Major State Basic Research Development Program of China (2014CB845402)
Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models
Ekeberg, Magnus; Lövkvist, Cecilia; Lan, Yueheng; Weigt, Martin; Aurell, Erik
2013-01-01
Spatially proximate amino acids in a protein tend to coevolve. A protein's three-dimensional (3D) structure hence leaves an echo of correlations in the evolutionary record. Reverse engineering 3D structures from such correlations is an open problem in structural biology, pursued with increasing vigor as more and more protein sequences continue to fill the data banks. Within this task lies a statistical inference problem, rooted in the following: correlation between two sites in a protein sequence can arise from firsthand interaction but can also be network-propagated via intermediate sites; observed correlation is not enough to guarantee proximity. To separate direct from indirect interactions is an instance of the general problem of inverse statistical mechanics, where the task is to learn model parameters (fields, couplings) from observables (magnetizations, correlations, samples) in large systems. In the context of protein sequences, the approach has been referred to as direct-coupling analysis. Here we show that the pseudolikelihood method, applied to 21-state Potts models describing the statistical properties of families of evolutionarily related proteins, significantly outperforms existing approaches to the direct-coupling analysis, the latter being based on standard mean-field techniques. This improved performance also relies on a modified score for the coupling strength. The results are verified using known crystal structures of specific sequence instances of various protein families. Code implementing the new method can be found at http://plmdca.csc.kth.se/.
Critical manifold of the Potts model: Exact results and homogeneity approximation
Wu, F. Y.; Guo, Wenan
2012-08-01
The q-state Potts model has stood at the frontier of research in statistical mechanics for many years. In the absence of a closed-form solution, much of the past effort has focused on locating its critical manifold, trajectory in the parameter {q,eJ} space where J is the reduced interaction, along which the free energy is singular. However, except in isolated cases, antiferromagnetic (AF) models with J0. We also locate its critical frontier for JLondon Ser. A 388, 43 (1982)]. For the honeycomb lattice we show that the known critical frontier holds for all J, and determine its critical qc=(1)/(2)(3+5)=2.61803 beyond which there is no transition. For the triangular lattice we confirm the known critical frontier to hold only for J>0. More generally we consider the centered-triangle (CT) and Union-Jack (UJ) lattices consisting of mixed J and K interactions, and deduce critical manifolds under homogeneity hypotheses. For K=0 the CT lattice is the diced lattice, and we determine its critical manifold for all J and find qc=3.32472. For K=0 the UJ lattice is the square lattice and from this we deduce both the J>0 and J<0 critical manifolds and qc=3. Our theoretical predictions are compared with recent numerical results.
Potts model for exaggeration of a simple rumor transmitted by recreant rumormongers.
Liu, Z; Luo, J; Shao, C
2001-10-01
A simple rumor transmitted by recreant rumormongers is considered quantitatively. The simple message contained in the rumor is represented by a simple proposition that has been universally quantified. The operations to change the proposition by rumormongers are established. To describe the rumor's transmission along different channels mathematically, a spin chain is introduced, in which spins represent the operations. The addition of spins is established according to the laws of operations. The result of a rumor's transmission is given by the chain's spin sum. The model, which is favorable for a social prognostication, can determine quantitatively how the social guide and the competition among various opinions affect the exaggeration of the simple rumor transmitted by recreant rumormongers. It proves that the rumor forms Potts-like spin chains in the case with maximum information entropy. The approximate calculation shows that the rumor may be aggrandized little or aggrandized normally, even sometimes catastrophically. Moreover, the exaggeration is greater when the guide is larger and the competition is lower.
Competitive heterogeneous nucleation onto a microscopic impurity in a Potts model
Asuquo, Cletus C.; McArthur, Danielle; Bowles, Richard K.
2016-08-01
Many metastable systems can nucleate to multiple competing stable or intermediate metastable states. In this work, a Potts model, subject to external fields, is used to study the competitive nucleation of two phases attempting to grow on a microscopic impurity. Monte Carlo simulations are used to calculate the free energy surfaces for the system under different conditions, where the relative stability of the phases is adjusted by changing the interaction parameters, and the nucleation rates obtained using multicomponent transition state theory (TST) are compared with the rates measured using the survival probability method. We find that the two methods predict similar nucleation rates when the free energy barrier used in the transition state theory is defined as the work required to form a critical embryo from the metastable phase. An analysis of the free energy surfaces also reveals that the competition between the nucleating phases leads to an effective drying of the impurity which slows down the nucleation rate compared to the single phase case.
Jacobsen, J L; Saleur, H
2008-02-29
We determine exactly the probability distribution of the number N_(c) of valence bonds connecting a subsystem of length L>1 to the rest of the system in the ground state of the XXX antiferromagnetic spin chain. This provides, in particular, the asymptotic behavior of the valence-bond entanglement entropy S_(VB)=N_(c)ln2=4ln2/pi(2)lnL disproving a recent conjecture that this should be related with the von Neumann entropy, and thus equal to 1/3lnL. Our results generalize to the Q-state Potts model.
Degenerate ground states and multiple bifurcations in a two-dimensional q-state quantum Potts model.
Dai, Yan-Wei; Cho, Sam Young; Batchelor, Murray T; Zhou, Huan-Qiang
2014-06-01
We numerically investigate the two-dimensional q-state quantum Potts model on the infinite square lattice by using the infinite projected entangled-pair state (iPEPS) algorithm. We show that the quantum fidelity, defined as an overlap measurement between an arbitrary reference state and the iPEPS ground state of the system, can detect q-fold degenerate ground states for the Z_{q} broken-symmetry phase. Accordingly, a multiple bifurcation of the quantum ground-state fidelity is shown to occur as the transverse magnetic field varies from the symmetry phase to the broken-symmetry phase, which means that a multiple-bifurcation point corresponds to a critical point. A (dis)continuous behavior of quantum fidelity at phase transition points characterizes a (dis)continuous phase transition. Similar to the characteristic behavior of the quantum fidelity, the magnetizations, as order parameters, obtained from the degenerate ground states exhibit multiple bifurcation at critical points. Each order parameter is also explicitly demonstrated to transform under the Z_{q} subgroup of the symmetry group of the Hamiltonian. We find that the q-state quantum Potts model on the square lattice undergoes a discontinuous (first-order) phase transition for q=3 and q=4 and a continuous phase transition for q=2 (the two-dimensional quantum transverse Ising model).
Shao, C G; Liu, Z Z; Wang, J F; Luo, J
2003-07-01
The L-state Potts model for rumor is the N-spin chain describing how a simple rumor transmitted by N recreant rumormongers is aggrandized. The studied rumor is represented mathematically by a simple proposition with the universal quantifier, which again is represented geometrically by a point in a proposition space. During the transmission, such a proposition is changed with the change of the rumor, which has individual number N0 at the beginning of the transmission. Correspondingly, the point expressing the proposition may start from an arbitrary site at the proposition space, and then it shifts in the space. Thus, a spin sum of the Potts model corresponds to a walk of a point in the proposition space and spin configuration's numbers is given by enumerating the corresponding walks. The concept of the lattice path in combinatorial mathematics is introduced and the exact series representation of the configuration's numbers is given. The partition function exhibits the transition of the chain and critical equivalent inverse temperature beta(c) is determined. Moreover, there is a crossover value of the individual number, N00. The model has a first-order transition when N0N00.
Ayasso, Hacheme; Mohammad-Djafari, Ali
2010-09-01
In this paper, we propose a method to simultaneously restore and to segment piecewise homogeneous images degraded by a known point spread function (PSF) and additive noise. For this purpose, we propose a family of nonhomogeneous Gauss-Markov fields with Potts region labels model for images to be used in a Bayesian estimation framework. The joint posterior law of all the unknowns (the unknown image, its segmentation (hidden variable) and all the hyperparameters) is approximated by a separable probability law via the variational Bayes technique. This approximation gives the possibility to obtain practically implemented joint restoration and segmentation algorithm. We will present some preliminary results and comparison with a MCMC Gibbs sampling based algorithm. We may note that the prior models proposed in this work are particularly appropriate for the images of the scenes or objects that are composed of a finite set of homogeneous materials. This is the case of many images obtained in nondestructive testing (NDT) applications.
Scianna, Marco; Preziosi, Luigi
2014-03-01
Cell migration is fundamental in a wide variety of physiological and pathological phenomena, among other in cancer invasion and development. In particular, the migratory/invasive capability of single metastatic cells is fundamental in determining the malignancy of a solid tumor. Specific cell migration phenotypes result for instance from the reciprocal interplay between the biophysical and biochemical properties of both the malignant cells themselves and of the surrounding environment. In particular, the extracellular matrices (ECMs) forming connective tissues can provide both loosely organized zones and densely packed barriers, which may impact cell invasion mode and efficiency. The critical processes involved in cell movement within confined spaces are (i) the proteolytic activity of matrix metalloproteinases (MMPs) and (ii) the deformation of the entire cell body, and in particular of the nucleus. We here present an extended cellular Potts model (CPM) to simulate a bio-engineered matrix system, which tests the active motile behavior of a single cancer cell into narrow channels of different widths. As distinct features of our approach, the cell is modeled as a compartmentalized discrete element, differentiated in the nucleus and in the cytosolic region, while a directional shape-dependent movement is explicitly driven by the evolution of its polarity vector. As outcomes, we find that, in a large track, the tumor cell is not able to maintain a directional movement. On the contrary, a structure of subcellular width behaves as a contact guidance sustaining cell persistent locomotion. In particular, a MMP-deprived cell is able to repolarize and follow the micropattern geometry, while a full MMP activity leads to a secondary track expansion by degrading the matrix structure. Finally, we confirm that cell movement within a subnuclear structure can be achieved either by pericellular proteolysis or by a significant deformation of cell nucleus.
International Nuclear Information System (INIS)
Andrade, Pedro H.A. de; Cabral, Manuela O.M.; Lima, Fernando R. De A.
2015-01-01
Exposure Computational Models are composed basically of an anthropomorphic phantom, a Monte Carlo (MC) code, and an algorithm simulator of the radioactive source. Tomographic phantoms are developed from medical images and must be pre-processed and segmented before being coupled to a MC code (which simulates the interaction of radiation with matter). This work presents a methodology used for treatment of micro-CT images stack of a femur, obtained from a 30 year old female skeleton provided by the Imaging Laboratory for Anthropology of the University of Bristol, UK. These images contain resolution of 60 micrometers and from these a block containing only 160 x 60 x 160 pixels of trabecular tissues and bone marrow was cut and saved as ⁎.sgi file (header + ⁎.raw file). The Grupo de Dosimetria Numerica (Recife-PE, Brazil) developed a software named Digital Image Processing (DIP), in which a method for segmentation based on a physical model for particle interaction known as Potts Model (or q-Ising) was implemented. This model analyzes the statistical dependence between sites in a network. In Potts Model, when the values of spin variables at neighboring sites are identical, it is assigned an 'energy of interaction' between them. Otherwise, it is said that the sites do not interact. Making an analogy between network sites and the pixels of a digital image and, moreover, between the spins variables and the intensity of the gray scale, it was possible to apply this model to obtain texture descriptors and segment the image. (author)
Energy Technology Data Exchange (ETDEWEB)
Andrade, Pedro H.A. de; Cabral, Manuela O.M., E-mail: andrade.pha@gmail.com [Universidade Federal de Pernambuco (DEN/UFPE), Recife, PE (Brazil). Departamento de Engenharia Nuclear; Vieira, Jose W.; Correia, Filipe L. de B., E-mail: jose.wilson59@uol.com.br [Instituto Federal de Educacao, Ciencia e Tecnologia de Pernambuco (IFPE), Recife, PE (Brazil); Lima, Fernando R. De A., E-mail: falima@cnen.gov.br [Centro Regional de Ciencias Nucleares do Nordeste (CRCN-NE/CNEN-PE), Recife, PE (brazil)
2015-07-01
Exposure Computational Models are composed basically of an anthropomorphic phantom, a Monte Carlo (MC) code, and an algorithm simulator of the radioactive source. Tomographic phantoms are developed from medical images and must be pre-processed and segmented before being coupled to a MC code (which simulates the interaction of radiation with matter). This work presents a methodology used for treatment of micro-CT images stack of a femur, obtained from a 30 year old female skeleton provided by the Imaging Laboratory for Anthropology of the University of Bristol, UK. These images contain resolution of 60 micrometers and from these a block containing only 160 x 60 x 160 pixels of trabecular tissues and bone marrow was cut and saved as ⁎.sgi file (header + ⁎.raw file). The Grupo de Dosimetria Numerica (Recife-PE, Brazil) developed a software named Digital Image Processing (DIP), in which a method for segmentation based on a physical model for particle interaction known as Potts Model (or q-Ising) was implemented. This model analyzes the statistical dependence between sites in a network. In Potts Model, when the values of spin variables at neighboring sites are identical, it is assigned an 'energy of interaction' between them. Otherwise, it is said that the sites do not interact. Making an analogy between network sites and the pixels of a digital image and, moreover, between the spins variables and the intensity of the gray scale, it was possible to apply this model to obtain texture descriptors and segment the image. (author)
International Nuclear Information System (INIS)
Bauer, Bela; Troyer, Matthias; Gull, Emanuel; Trebst, Simon; Huse, David A
2010-01-01
The numerical simulation of strongly first-order phase transitions has remained a notoriously difficult problem even for classical systems due to the exponentially suppressed (thermal) equilibration in the vicinity of such a transition. In the absence of efficient update techniques, a common approach for improving equilibration in Monte Carlo simulations is broadening the sampled statistical ensemble beyond the bimodal distribution of the canonical ensemble. Here we show how a recently developed feedback algorithm can systematically optimize such broad-histogram ensembles and significantly speed up equilibration in comparison with other extended ensemble techniques such as flat-histogram, multicanonical and Wang–Landau sampling. We simulate, as a prototypical example of a strong first-order transition, the two-dimensional Potts model with up to Q = 250 different states in large systems. The optimized histogram develops a distinct multi-peak structure, thereby resolving entropic barriers and their associated phase transitions in the phase coexistence region—such as droplet nucleation and annihilation, and droplet–strip transitions for systems with periodic boundary conditions. We characterize the efficiency of the optimized histogram sampling by measuring round-trip times τ(N, Q) across the phase transition for samples comprised of N spins. While we find power-law scaling of τ versus N for small Q∼ 2 , we observe a crossover to exponential scaling for larger Q. These results demonstrate that despite the ensemble optimization, broad-histogram simulations cannot fully eliminate the supercritical slowing down at strongly first-order transitions
The potts chain in a random field: an exact solution
International Nuclear Information System (INIS)
Riera, R.; Chaves, C.M.G.F.; Santos, Raimundo R. dos.
1984-01-01
An exact solution is presented for the one-dimensional q-state Potts model in a quenched random field. The ferromagnetic phase is unstable against any small random field perturbation. The correlation function and the Edwards-Anderson order parameter Q are discussed. For finite q only the phase with Q ≠ 0 is present. (Author) [pt
Nonlinear complexity behaviors of agent-based 3D Potts financial dynamics with random environments
Xing, Yani; Wang, Jun
2018-02-01
A new microscopic 3D Potts interaction financial price model is established in this work, to investigate the nonlinear complexity behaviors of stock markets. 3D Potts model, which extends the 2D Potts model to three-dimensional, is a cubic lattice model to explain the interaction behavior among the agents. In order to explore the complexity of real financial markets and the 3D Potts financial model, a new random coarse-grained Lempel-Ziv complexity is proposed to certain series, such as the price returns, the price volatilities, and the random time d-returns. Then the composite multiscale entropy (CMSE) method is applied to the intrinsic mode functions (IMFs) and the corresponding shuffled data to study the complexity behaviors. The empirical results indicate that the 3D financial model is feasible.
Bauer, Bela; Gull, Emanuel; Trebst, Simon; Troyer, Matthias; Huse, David A.
2010-01-01
The numerical simulation of strongly first-order phase transitions has remained a notoriously difficult problem even for classical systems due to the exponentially suppressed (thermal) equilibration in the vicinity of such a transition. In the absence of efficient update techniques, a common approach for improving equilibration in Monte Carlo simulations is broadening the sampled statistical ensemble beyond the bimodal distribution of the canonical ensemble. Here we show how a recently developed feedback algorithm can systematically optimize such broad-histogram ensembles and significantly speed up equilibration in comparison with other extended ensemble techniques such as flat-histogram, multicanonical and Wang-Landau sampling. We simulate, as a prototypical example of a strong first-order transition, the two-dimensional Potts model with up to Q = 250 different states in large systems. The optimized histogram develops a distinct multi-peak structure, thereby resolving entropic barriers and their associated phase transitions in the phase coexistence region—such as droplet nucleation and annihilation, and droplet-strip transitions for systems with periodic boundary conditions. We characterize the efficiency of the optimized histogram sampling by measuring round-trip times τ(N, Q) across the phase transition for samples comprised of N spins. While we find power-law scaling of τ versus N for small Q \\lesssim 50 and N \\lesssim 40^2 , we observe a crossover to exponential scaling for larger Q. These results demonstrate that despite the ensemble optimization, broad-histogram simulations cannot fully eliminate the supercritical slowing down at strongly first-order transitions.
Pott's Puffytumor with associated epiduralabscess complicating ...
African Journals Online (AJOL)
Pott's Puffy tumor is a rare disease entity arising from osteomyelitis of the frontal bone associated with subperiosteal abscess that develops on the forehead resulting from frontal sinusitis. In this case, we present a 12-year-old girl who presented with Pott's Puffy tumor with epidural abscess extension which was detected on ...
Influence of lattice defects on criticality of Potts ferromagnet
International Nuclear Information System (INIS)
Souza Costa, U.M. de.
1985-01-01
The critical properties of the q-state Potts ferromagnet and the anisotropic Heisenberg model on hypercubic lattices (d = 2,3); emphasis is given to the free surface and the interface effects, the Real Space Renormalization Group approach. The criticality of the quenched bond-mixed q-state Potts ferromagnet on square lattice is discussed. It is shown that, the crossover from the pure fixed point to the random one occurs, while q increases, through a pitchfork bifurcation; the relation-ship with the Harris criterion is analyzed. High precision numerical values for the critical temperatures corresponding to arbitrary concentrations of the coupling constants J sub(1) and J sub(2), and arbitrary ratios J sub(1)/J sub(2) are presented.(author)
Potts disease: Diagnosis with magnetic resonance imaging
International Nuclear Information System (INIS)
Pursey, Jacqueline; Stewart, Sharon
2010-01-01
The eponymously named Potts disease is a relatively rare form of Tuberculosis (TB) which affects the spine. TB of the spine is one of the earliest diseases known to man and in the 20th century was thought to be a disease which had been defeated by the advent of antitubercular drugs. Over the last two decades there have been several reports which indicate a revival of TB in both the developing and developed world. Factors which may be contributing to this are the spread of the HIV virus, increased immigration and the emergence of drug resistant strains of the TB bacteria. Potts disease has an insidious onset and often the radiographic findings are far advanced when a diagnosis is finally reached. MRI is able to detect changes to the vertebrae in Potts disease earlier than radiographs. This case report outlines the clinical presentation of a young male with Potts disease who was HIV negative, and the important role that MRI plays in diagnosis and therefore in appropriate and timely intervention. The typical magnetic resonance (MR) imaging features and the radiographic hallmarks of the disease will also be discussed.
Phase diagram of the triangular-lattice Potts antiferromagnet
Lykke Jacobsen, Jesper; Salas, Jesús; Scullard, Christian R.
2017-08-01
We study the phase diagram of the triangular-lattice Q-state Potts model in the real (Q, v) -plane, where v=e^J-1 is the temperature variable. Our first goal is to provide an obviously missing feature of this diagram: the position of the antiferromagnetic critical curve. This curve turns out to possess a bifurcation point with two branches emerging from it, entailing important consequences for the global phase diagram. We have obtained accurate numerical estimates for the position of this curve by combining the transfer-matrix approach for strip graphs with toroidal boundary conditions and the recent method of critical polynomials. The second goal of this work is to study the corresponding Ap-1 RSOS model on the torus, for integer p=4, 5, \\ldots, 8 . We clarify its relation to the corresponding Potts model, in particular concerning the role of boundary conditions. For certain values of p, we identify several new critical points and regimes for the RSOS model and we initiate the study of the flows between the corresponding field theories.
Computed Tomographic evaluation of Pott's disease in Accra
African Journals Online (AJOL)
La Berge JM, Brant-Zawadzki M: Evaluation of pott's disease with Computed Tomography. Neuroradiology 1984: 26: 429. - 434. Computed. Tomography in Pott's disease neurosurgery 1982; 10: 506 -. 508. Arthronthurasook A: Chongpreboon patina: Aspinal tuberculosis with posterior element involvement. Spine 1990;.
Kissil, Karni; Niño, Alba
2017-07-01
As we recognize how taxing our profession can be, therapist's self-care has become a salient topic in mental health. However, we are still discerning how to promote self-care in our practice and in training. In this paper, we present a study on the personal gains that MFT students experienced after participating in the Person-of-the-Therapist Training (POTT). We propose that the reported changes (better understanding of self, change to self, relational changes, and change as a process) constitute improvements in the trainees' well-being, and can therefore be considered self-caring behaviors and practices. We state that models like POTT, that focus on embracing our vulnerability, can help clinicians be more caring toward ourselves. We conclude this paper by presenting clinical and training recommendations. © 2017 American Association for Marriage and Family Therapy.
Pott's disease: a case of Mycobacterium xenopi infection of the spine.
Alfreijat, Majd; Ononiwu, Chiagozie; Sexton, Carlton
2012-01-01
Pott's disease is an infection of the spine with Mycobacterium tuberculosis that causes destruction of the spine elements resulting in progressive kyphosis. We are describing a rare case of Pott's disease where Mycobacterium xenopi was the inculpated organism.
Computed Tomographic evaluation of Pott's disease in Accra ...
African Journals Online (AJOL)
Background: Radiological investigations are central in the diagnosis and management of TB spine. In Ghana there is a dearth of literature on the disorder. This paper seeks to describe the CT features of the bony and soft tissue changes in Pott's disease. Method: It is a descriptive report of the CT scans performed on 30 ...
Computed Tomographic evaluation of Pott's disease in Accra ...
African Journals Online (AJOL)
In Ghana there is a dearth of literature on the disorder. This paper seeks to describe the CT features of the bony and soft tissue changes in Pott's ... Results: The disorder was common among children and young adults (76.7%). Chronic back pain was the frequent presenting complain (53.3%). The dorsal spine remains the ...
Equilibrium state of the mean-field Potts glass
Czech Academy of Sciences Publication Activity Database
Janiš, Václav; Klíč, Antonín
2011-01-01
Roč. 23, č. 2 (2011), s. 1-5 ISSN 0953-8984 Institutional research plan: CEZ:AV0Z10100520 Keywords : Potts glass * replica-symmetry breaking * asymptotic expansion Subject RIV: BE - Theoretical Physics Impact factor: 2.546, year: 2011 http://iopscience.iop.org/0953-8984/23/2/022204/
Bifurcation in Ground-state Fidelity and Quantum Criticality in Two-leg Potts Ladder
Directory of Open Access Journals (Sweden)
Sheng-Hao LI
2014-02-01
Full Text Available We have investigated an intriguing connection between bifurcations, reduced fidelity per lattice site, local order parameter, universal order parameter, entropy and quantum phase transitions in the ground state for quantum three-state Potts model with two coupled infinite-size ladder system, in the context of the tensor network algorithm. The tensor network algorithm produces degenerate symmetry-breaking ground-state wave functions arising from the Z3 symmetry breaking, each of results from a randomly chosen initial state. We expect that our approach might provide further insights into critical phenomena in quantum many-body infinite lattice systems in condensed matter physics.
International Nuclear Information System (INIS)
Risser, L.; Vincent, T.; Ciuciu, P.; Risser, L.; Idier, J.; Risser, L.; Forbes, F.
2011-01-01
In this paper, we propose a fast numerical scheme to estimate Partition Functions (PF) of symmetric Potts fields. Our strategy is first validated on 2D two-color Potts fields and then on 3D two- and three-color Potts fields. It is then applied to the joint detection-estimation of brain activity from functional Magnetic Resonance Imaging (fMRI) data, where the goal is to automatically recover activated, deactivated and inactivated brain regions and to estimate region dependent hemodynamic filters. For any brain region, a specific 3D Potts field indeed embodies the spatial correlation over the hidden states of the voxels by modeling whether they are activated, deactivated or inactive. To make spatial regularization adaptive, the PFs of the Potts fields over all brain regions are computed prior to the brain activity estimation. Our approach is first based upon a classical path-sampling method to approximate a small subset of reference PFs corresponding to pre-specified regions. Then, we propose an extrapolation method that allows us to approximate the PFs associated to the Potts fields defined over the remaining brain regions. In comparison with preexisting methods either based on a path sampling strategy or mean-field approximations, our contribution strongly alleviates the computational cost and makes spatially adaptive regularization of whole brain fMRI datasets feasible. It is also robust against grid inhomogeneities and efficient irrespective of the topological configurations of the brain regions. (authors)
International Nuclear Information System (INIS)
Xu, Kaixuan; Wang, Jun
2017-01-01
In this paper, recently introduced permutation entropy and sample entropy are further developed to the fractional cases, weighted fractional permutation entropy (WFPE) and fractional sample entropy (FSE). The fractional order generalization of information entropy is utilized in the above two complexity approaches, to detect the statistical characteristics of fractional order information in complex systems. The effectiveness analysis of proposed methods on the synthetic data and the real-world data reveals that tuning the fractional order allows a high sensitivity and more accurate characterization to the signal evolution, which is useful in describing the dynamics of complex systems. Moreover, the numerical research on nonlinear complexity behaviors is compared between the returns series of Potts financial model and the actual stock markets. And the empirical results confirm the feasibility of the proposed model. - Highlights: • Two new entropy approaches for estimation of nonlinear complexity are proposed for the financial market. • Effectiveness analysis of proposed methods is presented and their respective features are studied. • Empirical research of proposed analysis on seven world financial market indices. • Numerical simulation of Potts financial dynamics is preformed for nonlinear complexity behaviors.
Simple method to calculate percolation, Ising and Potts clusters
International Nuclear Information System (INIS)
Tsallis, C.
1981-01-01
A procedure ('break-collapse method') is introduced which considerably simplifies the calculation of two - or multirooted clusters like those commonly appearing in real space renormalization group (RG) treatments of bond-percolation, and pure and random Ising and Potts problems. The method is illustrated through two applications for the q-state Potts ferromagnet. The first of them concerns a RG calculation of the critical exponent ν for the isotropic square lattice: numerical consistence is obtained (particularly for q→0) with den Nijs conjecture. The second application is a compact reformulation of the standard star-triangle and duality transformations which provide the exact critical temperature for the anisotropic triangular and honeycomb lattices. (Author) [pt
Pott's Puffy Tumor Arising from Frontal Sinusitis
Energy Technology Data Exchange (ETDEWEB)
Lim, Ji Yeon; Kang, Hyun Koo [Seoul Veterans Hospital, Seoul (Korea, Republic of)
2010-02-15
Pott's puffy tumor is an extremely rare and potentially life-threatening complication of frontal sinusitis. We report a case of a 64-year-old man who presented at our emergency department with mild tenderness on the glabellar area and diplopia. Computed Tomography (CT) revealed frontal sinusitis and osteomyelitis of the frontal bone. Following sinus trephination and long-term antibiotic therapy, the patient achieved a complete recovery.
Anisotropic square lattice Potts ferromagnet: renormalization group treatment
International Nuclear Information System (INIS)
Oliveira, P.M.C. de; Tsallis, C.
1981-01-01
The choice of a convenient self-dual cell within a real space renormalization group framework enables a satisfactory treatment of the anisotropic square lattice q-state Potts ferromagnet criticality. The exact critical frontier and dimensionality crossover exponent PHI as well as the expected universality behaviour (renormalization flow sense) are recovered for any linear scaling factor b and all values of q(q - [pt
Poorly Understood Aspects of Striated Muscle Contraction
Directory of Open Access Journals (Sweden)
Alf Månsson
2015-01-01
Full Text Available Muscle contraction results from cyclic interactions between the contractile proteins myosin and actin, driven by the turnover of adenosine triphosphate (ATP. Despite intense studies, several molecular events in the contraction process are poorly understood, including the relationship between force-generation and phosphate-release in the ATP-turnover. Different aspects of the force-generating transition are reflected in the changes in tension development by muscle cells, myofibrils and single molecules upon changes in temperature, altered phosphate concentration, or length perturbations. It has been notoriously difficult to explain all these events within a given theoretical framework and to unequivocally correlate observed events with the atomic structures of the myosin motor. Other incompletely understood issues include the role of the two heads of myosin II and structural changes in the actin filaments as well as the importance of the three-dimensional order. We here review these issues in relation to controversies regarding basic physiological properties of striated muscle. We also briefly consider actomyosin mutation effects in cardiac and skeletal muscle function and the possibility to treat these defects by drugs.
Survival into seventh decade after a potts palliation for tetralogy of Fallot
Oosterhof, Thomas; Jacobs, Monique; Cramer, Maarten-Jan; Mulder, Barbara J. M.
2007-01-01
In this case report we present a 62-year-old patient with unrepaired tetralogy of Fallot who underwent a Potts shunt for palliation. Survival into late adulthood of patients with unoperated tetralogy of Fallot is rare. This patient is currently in New York Heart Association (NYHA) class II. A Potts
Pott's disease: a case of Mycobacterium xenopi infection of the spine
Directory of Open Access Journals (Sweden)
Majd Alfreijat
2013-01-01
Full Text Available Pott's disease is an infection of the spine with Mycobacterium tuberculosis that causes destruction of the spine elements resulting in progressive kyphosis. We are describing a rare case of Pott's disease where Mycobacterium xenopi was the inculpated organism.
Xu, Kaixuan; Wang, Jun
2017-02-01
In this paper, recently introduced permutation entropy and sample entropy are further developed to the fractional cases, weighted fractional permutation entropy (WFPE) and fractional sample entropy (FSE). The fractional order generalization of information entropy is utilized in the above two complexity approaches, to detect the statistical characteristics of fractional order information in complex systems. The effectiveness analysis of proposed methods on the synthetic data and the real-world data reveals that tuning the fractional order allows a high sensitivity and more accurate characterization to the signal evolution, which is useful in describing the dynamics of complex systems. Moreover, the numerical research on nonlinear complexity behaviors is compared between the returns series of Potts financial model and the actual stock markets. And the empirical results confirm the feasibility of the proposed model.
How self-reliance is understood: viewpoints from one local ...
African Journals Online (AJOL)
How self-reliance is understood: viewpoints from one local community in Malawi. ... model that resists dependence on external aid, empowers community development, and provides opportunities to sustain development activity through local initiative, can be employed to increase social capital leading to sustainable growth.
Yes Virginia, quantum mechanics can be understood
Wallace, John P
2017-01-01
Virginia, B. W. Wooster, and Jeeves take up physics with the hope of understanding quantum mechanics. In the process they take a rather grand tour on an old sailing ship and aid a sow in distress. On their journey they discover that physics is not as difficult a subject as they imagined. When they dismantled physics and reassembled it in a form where gravity, strong, electromagnetic and the weak forces all stem from understanding the gaming strategy known as the fair-game. That great cultural divide first expounded by the novelist C.P.Snow was found to be a mere ditch that can be stepped over. The sins of the past were violations of energy conservation and strange notions about what mass actually represents. Now mass is defined without the assistance of the Standard Model. Things will not be the same. Singularities have been banished. The electron now has a scale and is no longer captive in a point. The gluon is no longer essential along with the single virtual photon.
Critical frontier of anisotropic planar Potts ferromagnets : a new conjucture
International Nuclear Information System (INIS)
Tsallis, C.
1982-01-01
The critical frontier of the nearest-neighbour q-state Potts ferromagnet in the fully anisotropic 3-12 lattice is conjectured through a star-triangle transformation. It recovers all the available exact results concerning particular cases, namely: (i) anisotropic square lattice for all q; (ii) anisotropic triangular and honeycomb lattices for all q; (iii) anisotropic Kagome and diced lattices for q=2; (iv) isotropic 3-12 and Asanoha lattices for q=2. It provides proposals for several other planar lattices, in particular for the anisotropic Kagome (and diced) one for q different 2, where it slightly differs from the Wu 1979 conjecture (Which also satisfies the cases (i) and (iii)). The bond percolation critical probabilities on the 3-12 and Kagome lattices are determined to be respectively p sub(c) = 0.739830... and p sub(c) = 0.522372.... (Author) [pt
Two-dimensional Potts antiferromagnets with a phase transition at arbitrarily large q
Czech Academy of Sciences Publication Activity Database
Huang, Y.; Chen, K.; Deng, Y.; Jacobsen, J. L.; Kotecký, R.; Salas, J.; Sokal, Alan D.; Swart, Jan M.
2013-01-01
Roč. 87, Č. 1 (2013), 12136-1-12136-5 ISSN 1539-3755 R&D Projects: GA ČR GAP201/12/2613 Institutional support: RVO:67985556 Keywords : Monte Carlo simulation * two-dimensional lattices * q-state Potts Subject RIV: BE - Theoretical Physics Impact factor: 2.326, year: 2013 http://library.utia.cas.cz/separaty/2013/SI/swart-two-dimensional potts antiferromagnets with a phase transition at arbitrarily large q.pdf
Mean-field solution of the Potts glass near the transition temperature to the ordered phase
Czech Academy of Sciences Publication Activity Database
Janiš, Václav; Klíč, Antonín
2011-01-01
Roč. 84, č. 6 (2011), "064446-1"-"064446-10" ISSN 1098-0121 Institutional research plan: CEZ:AV0Z10100520 Keywords : Potts glass * hierarchic solutions with replicated spins * continuous replica-symmetry breaking Subject RIV: BE - Theoretical Physics Impact factor: 3.691, year: 2011
How Self-Reliance Is Understood: Viewpoints from One Local ...
African Journals Online (AJOL)
DrNneka
Tanzania's 1967 policy of self-reliance (Hultin 1985, p.8). Before looking at the way self-reliance is understood in rural Malawi during a process of development, it may be beneficial to look at some of the tensions between micro and macro forms of development. Leading to Self-Reliance. Development Aid is a term that has ...
Le mal de Pott: à propos de 82 cas
Directory of Open Access Journals (Sweden)
Badr Fedoul
2011-03-01
Full Text Available Nous rapportant dans cette étude, les résultats de l’expérience du service de neurochirurgie du CHU Hassan II de Fès dans la prise en charge du mal de pott dans la région de Fès. Il s’agit d’une étude rétrospective de quatre-vingt-deux cas; étalée sur une période de cinq ans (janvier 2002 au décembre 2006. L’objectif de ce travail était d’illustrer les différents aspects épidémiologiques, diagnostiques et thérapeutiques de la localisation vertébrale de la tuberculose dans notre pratique. L'âge moyen de nos patients était de 43,1 ans, avec une légère prédominance féminine (53,82%. La durée d'évolution de la maladie était longue (dix mois en moyenne; ceci est expliquée par la symptomatologie initiale insidieuse faite de rachialgies (98,78% et une admission des patients au stade de complications neurologiques (41,46%. La radiographie standard était réalisée chez tous nos patients, et complétée par la TDM dans 86.58% des cas ce qui a permis de déceler la prédominance de l'atteinte dorsale et lombaire. L'IRM est l'examen de choix, elle était demandée chez tous les malades déficitaires (37,8%.Tous nos patients ont bénéficié d'un traitement antibacillaire associé à une immobilisation du foyer pottique. Une décompression par voie antérieure était réalisée chez 29 patients (35,36 %; alors que la laminectomie n'était pratiquée que chez 5 patients (6.09 %, tandis que l'évacuation de l'abcès de psoas était réalisée chez 25 patients (30,48 %. Le diagnostic de certitude histologique était posé dans 51 cas (62,19%. Les meilleurs résultats étaient obtenus chez les malades opérés par voie antérieure, 26 cas (89,65% de récupération totale et 3 cas (10,34% partielle. L'évolution vers la consolidation et la fusion vertébrale était la règle chez tous nos malades et ceci au bout de 4 à 18 mois après le traitement.
Urachal tumour: case report of a poorly understood carcinoma
Directory of Open Access Journals (Sweden)
Vallarino Luigi
2009-11-01
Full Text Available Abstract Background Urachal carcinoma is an uncommon neoplasm associated with poor prognosis. Case presentation A 45-year-old man was admitted with complaints of abdominal pain and pollakisuria. A soft mass was palpable under his navel. TC-scan revealed a 11 × 6 cm tumor, which was composed of a cystic lesion arising from the urachus and a solid mass component at the urinary bladder dome. The tumor was removed surgically. Histological examination detected poor-differentiated adenocarcinoma, which had invaded the urinary bladder. The patient has been followed up without recurrence for 6 months. Conclusion The urachus is the embryological remnant of urogenital sinus and allantois. Involution usually happens before birth and urachus is present as a median umbilical ligament. The pathogenesis of urachal tumours is not fully understood. Surgery is the treatment of choice and role of adjuvant treatment is not clearly understood.
Harvey Cushing, the spine surgeon: the surgical treatment of Pott disease.
Bydon, Ali; Dasenbrock, Hormuzdiyar H; Pendleton, Courtney; McGirt, Matthew J; Gokaslan, Ziya L; Quinones-Hinojosa, Alfredo
2011-08-01
Review of historical archival records. Describe Harvey Cushing's patients with spinal pathology. Harvey Cushing was a pioneer of modern surgery but his work on spine remains largely unknown. Review of the Chesney Medical Archives of the Johns Hopkins Hospital from 1896 to 1912. This is the first time that Cushing's spinal cases while he was at the Johns Hopkins Hospital, including those with Pott disease, have been described.Cushing treated three young men with psoas abscesses secondary to Pott disease during his residency: he drained the abscesses, debrided any accompanying necrotic vertebral bodies, irrigated the cavity with salt, and left the incision open to close by secondary intention. Although Cushing used Koch's "tuberculin therapy" (of intravenous administration of isolated tubercular bacilli) in one patient, he did not do so in the other two, likely because of the poor response of this first patient. Later in his tenure, Cushing performed a laminectomy on a patient with kyphosis and paraplegia secondary to Pott disease. These cases provide a view of Cushing early in his career, pointing to the extraordinary degree of independence that he had during his residency under William Steward Halsted; these cases may have been important in the surgical upbringing both of Cushing and his coresident, William Stevenson Baer, who became the first professor of Orthopedics at Johns Hopkins Hospital. At the turn of the last century, Pott disease was primarily treated by immobilization with bed rest, braces, and plaster-of-paris jackets; some surgeons also employed gradual correction of the deformity by hyperextension. Patients who failed a trial of conservative therapy (of months to years) were treated with a laminectomy. However, the limitations of these strategies led to the development of techniques that form the basis of contemporary spine surgery-instrumentation and fusion.
Donors in Semiconductors - are they Understood in Electronic Era?
International Nuclear Information System (INIS)
Dmochowski, Janusz E
2007-01-01
The physics of semiconductors and contemporary electronics cannot be understood without impurities. The hydrogen-like shallow donor (and acceptor) state of electron (hole) bound by Coulomb electrostatic force of excess charge of impurity is used to control conductivity of semiconductors and construct semiconductor diodes, transistors and numerous types of semiconductor electronic and optoelectronic devices, including lasers. Recently, surprisingly, the physics of impurity donors appeared to be much reacher. Experimental evidence has been provided for universal existence of other types of electronic states of the same donor impurity: i) mysterious, deep, DX-type state resulting in metastability - slow hysteresis phenomena - understood as two-electron, acceptor-like state of donor impurity, formed upon large lattice distortion or rearrangement around impurity and accompanying capture of second electron, resulting in negative electron correlation energy U; ii) deep, localized, fully symmetric, A1, one-electron donor state of substitutional impurity. The latter state can be formed from the 'ordinary' shallow hydrogen-like state in the process of strong localization of electron by short range, local potential of impurity core, preserving full (A 1 ) symmetry of the substitutional impurity in the host lattice. The 'anticrossing' of the two A 1 (shallow hydrogenic and deep localized) energy levels upon transformation is observed. All types of electronic states of impurity can be universally observed for the same donor impurity and mutual transformation between different states occur upon changing experimental conditions. The knowledge about existence and properties of these n ew , molecular type, donor states in semiconductors seems still await general recognition and positive application in contemporary material and device science and engineering
Profil du mal de pott en consultation rhumatologique a Lome (Togo ...
African Journals Online (AJOL)
Objectifs : Déterminer la fréquence et le profil sémiologique et évolutif du mal de Pott en pratique hospitalière au CHU Sylvanus Olympio de Lomé. Patients et méthodes : Il s'est agi de l'étude d'une série de cas sur dossiers, menée sur 23 ans chez des consultants de rhumatologie. Résultats : 299 (147 hommes et 152 ...
Long-range inverse two-spin correlations in one-dimensional Potts lattices
International Nuclear Information System (INIS)
Tejero, C.F.; Cuesta, J.A.; Brito, R.
1989-01-01
The inverse two-spin correlation function of a one-dimensional three-state Potts lattice with constant nearest-neighbor interactions in a uniform external field is derived exactly. It is shown that the external field induces long-range correlations. The inverse two-spin correlation function decays in a monotonic exponential fashion for a ferromagnetic lattice, while it decays in an oscillatory exponential fashion for an antiferromagnetic lattice. With no external field the inverse two-spin correlation function has a finite range equal to that of the interactions
Abcès froid dorsolombaire révélant un mal de Pott | Kouassi | Pan ...
African Journals Online (AJOL)
Abcès froid dorsolombaire révélant un mal de Pott. Kouame Jean–Eric Kouassi, Loukou Blaise Yao, Bada Justin Léopold Niaore Sery, Kouamé Innocent M'bra, Koffi Léopold Krah, Grah Franck Lohourou, Michel Kodo ...
DEFF Research Database (Denmark)
Osmanagic, Azra; Emamifar, Amir; Christian Bang, Jacob
2016-01-01
BACKGROUND Pott's disease (PD) or spinal tuberculosis is a rare condition which accounts for less than 1% of total tuberculosis (TB) cases. The incidence of PD has recently increased in Europe and the United States, mainly due to immigration; however, it is still a rare diagnosis in Scandinavian...
Pott's puffy tumour in a pre-adolescent child: the youngest reported in the post-antibiotic era.
Gupta, Michael; El-Hakim, Hamdy; Bhargava, Ravi; Burgava, Ravi; Mehta, Vivek
2004-03-01
Pott's puffy tumour is a subperisosteal abscess associated with a cranial osteomyelitis. A rare consequence of trauma or frontal sinusitis, it is often an indicator of intracranial complications. At 3 years of age, the patient described is the youngest reported with this condition. The occurrence of such pathology in pre-adolescent children is very rare and this case is one of three reported in the English literature in the post-antibiotic era.
International Nuclear Information System (INIS)
Tsallis, C.; Santos, R.J.V. dos
1983-01-01
On conjectural grounds an equation that provides a very good approximation for the critical temperature of the fully-anisotropic homogeneous quenched bond-random q-state Potts ferromagnet in triangular and honeycomb lattices is presented. Almost all the exact particular results presently known for the square, triangular and honeycomb lattices are recovered; the numerical discrepancy is quite small for the few exceptions. Some predictions that we believe to be exact are made explicite as well. (Author) [pt
Hu, Wenhao; Zhang, Xuesong; Yu, Jiayi; Hu, Fanqi; Zhang, Hao; Wang, Yan
2018-01-15
In the late stage of Spinal tuberculosis, the bony destruction and vertebral collapse often leads to significant kyphosis, presenting clinically as a painful gibbus deformity, with increased instability, vertebral body translations and increased risk of neurologic involvement. Vertebral column decancellation is thought to be suitable for most patients with severe rigid kyphosis. Surgimap Spine, could offer a pragmatic graphical method for the surgical planning of osteotomies. The aim of this study was to evaluate the efficacy of Vertebral column decancellation planned preoperatively with the computer software-assistance in the patients with Pott's kyphosis. Between May 2012 and May 2015, 18 patients with Pott's kyphosis underwent the Vertebral column decancellation using Surgimap Spine for preoperative surgical planning. Preoperative and postoperative Konstam's angle, sagittal vertical angle, lumbar lordosis, thoracic kyphosis, pelvic tilt and pelvic incidence were measured. Visual analog scale and American Spinal Injury Association were documented. The Konstam's angles decreased from 88.1° (range, 70-105°) preoperatively to 18.5° (range, 7-31°) (P column decancellation is an effective treatment option for severe Pott's kyphosis. The surgical planning software Surgimap Spine can be a reliable and helpful tool that provides a simplified method to evaluate and analyze the spino-pelvic parameters and simulate the osteotomy procedure. According to individual character, the appropriate surgery strategy should be selected.
International Nuclear Information System (INIS)
Magalhaes, A.C.N. de.
1982-01-01
By using real space renormalization group methods, bond percolation on d-dimensional hypercubic (d = 2, 3, 4), first - and second - neighbour isotropic square, anisotropic square and 'inhomogeneous' 4-8 lattices is studied. Through some extrapolation methods, critical points and/or frontiers are obtained (as well as the critical exponent ν sub(p) in the isotropic cases) for these lattices that, or agree well with other available results, or are new as far as it is know (first - and second - neighbour isotropic square and 'inhomogeneous' 4-8 lattices). A conjecture concerning approximate (eventually exact) critical points and, in certain situations, critical frontiers of q-state Potts ferromagnets on d-dimensional lattices (d > 1) is formulated. This conjecture is verified within good accuracy for all the lattices whose critical points are known, and it allows the prediction of a great number of new results, some of them it is believed to be exact. Within a real space renomalization group framework, accurate approximations for the critical frontiers associated with the quenched bond-diluted first-neighbour spin-1/2 Ising ferromagnet on triangular and honeycomb lattices are calculated. The best numerical proposals lead, in both pure bond percolation (p = p sub(c)) and pure Ising (p = 1) limits, to the exact critical points and (dt 0 /dp) sub(p = p sub(c)) (where t 0 identical to tanh J/K sub(B) T), and to a 0.15% (0.96%) error in (dt 0 /dp) sub(p = 1) for the triangular (honeycomb) lattice; for p sub(c) 0 (for fixed p) of 0.27% (0.14%) is estimated for the triangular (honeycomb) lattice. It is exhibited, for many star-triangle graph pairs with any number of terminals and different sizes, that the exact q = 1, 2, 3, 4 critical points of Potts ferromagnets can aZZ of them, be obtained from any one of such graph pairs. (Author) [pt
Timme, Marc; van Bussel, Frank; Fliegner, Denny; Stolzenberg, Sebastian
2009-02-01
Counting problems, determining the number of possible states of a large system under certain constraints, play an important role in many areas of science. They naturally arise for complex disordered systems in physics and chemistry, in mathematical graph theory, and in computer science. Counting problems, however, are among the hardest problems to access computationally. Here, we suggest a novel method to access a benchmark counting problem, finding chromatic polynomials of graphs. We develop a vertex-oriented symbolic pattern matching algorithm that exploits the equivalence between the chromatic polynomial and the zero-temperature partition function of the Potts antiferromagnet on the same graph. Implementing this bottom-up algorithm using appropriate computer algebra, the new method outperforms standard top-down methods by several orders of magnitude, already for moderately sized graphs. As a first application, we compute chromatic polynomials of samples of the simple cubic lattice, for the first time computationally accessing three-dimensional lattices of physical relevance. The method offers straightforward generalizations to several other counting problems.
International Nuclear Information System (INIS)
Timme, Marc; Van Bussel, Frank; Fliegner, Denny; Stolzenberg, Sebastian
2009-01-01
Counting problems, determining the number of possible states of a large system under certain constraints, play an important role in many areas of science. They naturally arise for complex disordered systems in physics and chemistry, in mathematical graph theory, and in computer science. Counting problems, however, are among the hardest problems to access computationally. Here, we suggest a novel method to access a benchmark counting problem, finding chromatic polynomials of graphs. We develop a vertex-oriented symbolic pattern matching algorithm that exploits the equivalence between the chromatic polynomial and the zero-temperature partition function of the Potts antiferromagnet on the same graph. Implementing this bottom-up algorithm using appropriate computer algebra, the new method outperforms standard top-down methods by several orders of magnitude, already for moderately sized graphs. As a first application, we compute chromatic polynomials of samples of the simple cubic lattice, for the first time computationally accessing three-dimensional lattices of physical relevance. The method offers straightforward generalizations to several other counting problems.
Directory of Open Access Journals (Sweden)
Karen van Eunen
Full Text Available A decade ago, a team of biochemists including two of us, modeled yeast glycolysis and showed that one of the most studied biochemical pathways could not be quite understood in terms of the kinetic properties of the constituent enzymes as measured in cell extract. Moreover, when the same model was later applied to different experimental steady-state conditions, it often exhibited unrestrained metabolite accumulation.Here we resolve this issue by showing that the results of such ab initio modeling are improved substantially by (i including appropriate allosteric regulation and (ii measuring the enzyme kinetic parameters under conditions that resemble the intracellular environment. The following modifications proved crucial: (i implementation of allosteric regulation of hexokinase and pyruvate kinase, (ii implementation of V(max values measured under conditions that resembled the yeast cytosol, and (iii redetermination of the kinetic parameters of glyceraldehyde-3-phosphate dehydrogenase under physiological conditions.Model predictions and experiments were compared under five different conditions of yeast growth and starvation. When either the original model was used (which lacked important allosteric regulation, or the enzyme parameters were measured under conditions that were, as usual, optimal for high enzyme activity, fructose 1,6-bisphosphate and some other glycolytic intermediates tended to accumulate to unrealistically high concentrations. Combining all adjustments yielded an accurate correspondence between model and experiments for all five steady-state and dynamic conditions. This enhances our understanding of in vivo metabolism in terms of in vitro biochemistry.
Le mal de pott sous occipital révélé par un abcès rétro pharyngien a ...
African Journals Online (AJOL)
Introduction : Pott's disease is the most frequent localisation of osteo-articular tuberculosis. The suboccipital localisation remains rare. Case report : A 12-years old boy, admitted for cervicalgy and dysphagia. His clinical exam revealed a swelling of posterior pharyngeal wall associated with a basicervical tumefaction ...
Tratamiento quirúrgico de la enfermedad de Pott por vía anterior
Directory of Open Access Journals (Sweden)
Elio Ramírez
2013-12-01
Full Text Available OBJETIVO: Evaluar la corrección de la deformidad cifótica, estabilidad y fusión que otorga la utilización de implantes de titanio (Synex - Ventrofix de Synthes en la tuberculosis espinal. MÉTODOS: Entre enero de 2010 y agosto de 2012 ocho pacientes con diagnóstico de enfermedad del Pott se sometieron a intervención quirúrgica por vía anterior, con seguimiento de 18 meses. El procedimiento consistió en desbridamiento amplio del cuerpo afectado seguido de instrumentación con implantes de titanio (Synex - Ventrofix de Synthes y autoinjerto de costilla. La indicación quirúrgica fue déficit neurológico y cifosis del segmento. Previamente recibieron tratamiento antifímico por tres semanas. Estudios de imagen como radiografía frente y perfil pre operatoria y post operatoria evaluaron la cifosis. La tomografía simple post operatoria evaluó la fusión. En el preoperatorio se realizó resonancia magnética. Además de las pruebas de imagen, se realizaron las siguientes pruebas: biometría hemática, velocidad de sedimentación globular (VSG, proteína C reactiva (PCR y las pruebas microbiológicas baciloscopia en orina y esputo, cultivo de expectoración o de orina. RESULTADOS: Ocho pacientes se operaron a través de abordaje anterior, siendo cinco hombres con edad promedio de 37,2 años y tres mujeres con edad promedio de 56,3 años. Todos los pacientes presentaron déficit neurológico. Seis con lesiones incompletas mejoraron algún grado neurológico. Dos parapléjicos no recuperaron la función neurológica. Cifosis preoperatoria promedio 14,38 grados y postoperatoria 6,8 grados. No hubo pérdida significativa de corrección ni recurrencia de la enfermedad. CONCLUSIÓN: El abordaje anterior más instrumentación es un método eficaz para tratar infección tuberculosa vertebral al mismo tiempo de evitar la progresión o corregir la cifosis.
Tuberculose ostéoarticulaire (mal de Pott exclu): à propos de 120 cas à Abidjan
Gbané-Koné, Mariam; Koné, Samba; Ouali, Boubacar; Djaha, Kouassi Jean -Mermoz; Akoli, Ekoya Ondzala; Nseng, Ingrid Nseng; Eti, Edmond; Daboiko, Jean Claude; Touré, Stanislas André; Kouakou, N'zué Marcel
2015-01-01
Introduction La tuberculose ostéoarticulaire (TOA) représente 2 à 5% de l'ensemble des tuberculoses. Elle demeure d'actualité surtout dans les pays à forte endémicité tuberculeuse. L'objectif était de déterminer la prévalence, les aspects topographiques, radiologiques de la TOA en milieu hospitalier ivoirien. Méthodes Les auteurs rapportent une expérience de 11 ans, à travers une étude rétrospective de 120 dossiers de patients atteints de la tuberculose ostéoarticulaire (le mal de Pott est exclu de cette étude). N'ont pas été inclus dans l’étude les dossiers ne comportant pas d'imagerie. Résultats L'atteinte extra vertébrale représentait 09,2% de la tuberculose ostéoarticulaire. Il s'agissait de 54 hommes et 66 femmes, l’âge moyen était de 43,13 ans. On notait 123 cas d'ostéoarthrites, et 8 cas d'ostéites des os plats. L'atteinte des membres inférieurs prédominait dans 91,87% des cas. La hanche était la première localisation (45,04%), suivie du genou (25,19%). Les atteintes étaient multifocales dans 20% des cas. L'atteinte osseuse était associée à une tuberculose pulmonaire dans 05,83% des cas. Des localisations inhabituelles ont été rapportées: poignet (n = 2), branches ischiopubiennes (n = 4), atteinte sternoclaviculaire (n = 4), médiopieds (n = 2). Les lésions radiologiques étaient avancées (stades III et IV) dans 55,73% des cas. A la TDM, la prévalence des abcès était de 77%. Un geste chirurgical a été réalisé sur 16 articulations (2 épaules, 13 genoux, une cheville). Conclusion La TOA des membres est peu fréquente contrairement à l'atteinte vertébrale. La hanche est la principale localisation. Le retard au diagnostic explique l’étendue des lésions anatomoradiologiques. PMID:26587129
On Complex Zeros of the q-Potts Partition Function for a Self-dual Family of Graphs
Billiot, J.-M.; Corset, F.; Fontenas, E.
2010-06-01
This paper deals with the location of the complex zeros of q-Potts partition function for a class of self-dual graphs. For this class of graphs, as the form of the eigenvalues is known, the regions of the complex plane can be focused on the sets where there is only one dominant eigenvalue in particular containing the positive half plane. Thus, in these regions, the analyticity of the free energy per site can be derived easily. Next, some examples of graphs with their Tutte polynomial having few eigenvalues are given. The case of the cycle with an edge having a high order of multiplicity is presented in detail. In particular, we show that the well known conjecture of Chen et al. is false in the finite case. Furthermore we obtain a sequence of self-dual graphs for which the unit circle does not belong to the accumulation sets of the zeros.
International Nuclear Information System (INIS)
Mbbs, El Bashir Gusm Elbari Ahmed
1997-04-01
Fifty patients admitted to Khartoum Teaching Hospital and Shaab Teaching Hospital in the period from October 1994- October 1996 and diagnosed as Pott's disease of spine were included in the study. Patients below the age of 15 years were excluded. Full history and physical examination were performed in each patients. Haemoglobin concentration, Packed cell volume . (PCV) Erythrocyte Sedimentation Rate (ESR), White Blood Cell Count total and differential were done for all patients together with chest X-Ray, spinal X-Ray A. P. and lateral views. Myelogram, CT Scan, Mantoux and CSF examinations were done when needed.The main age of the study group was 41.3±17.6 years, with male to female ratio of 30-20 (3:2). Tuberculoses spondylitis affect the cervical spines in 2 cases (3.45%), the upper thoracic in 10 cases (17.24%), mid thoracic 20 times (34.48%), lower thoracic 20 cases (34>48%), lumber spines 6 cases (10.35%) and no lesion in the sacral spines. Pulmonary tuberculosis was found in 18 patients (36%) together with Pott's disease of the spine.All patients came with back pain, lower limbs weakness and the course of the disease was progressive, 35 patients (70%) were unable to walk, and the sphincters were affected in 37 patients (74%) of the cases.On medical treatment 37 patients (74%) showed progressive improvement, 5 patients (10%) remained static or deteriorated and 8 patients (16%) died. 2 of those who died had developed severe bed sores and anemia before death, 3 of them developed deep vein thrombosis (DVT) and died even though they started anticoagulant therapy, two patients developed drug induced hepatitis and died in spite of stopping the drugs, and one patient had got militry tuberculosis showed no adverse effect on outcome of treatment. Surgery done on two patients showed good outcome.(Author)
How operating room efficiency is understood in a surgical team: a qualitative study.
Arakelian, Erebouni; Gunningberg, Lena; Larsson, Jan
2011-02-01
Building surgical teams is one attempt to ensure the health-care system becomes more efficient, but how is 'efficiency' understood or interpreted? The aim was to study how organized surgical team members and their leaders understood operating room efficiency. Qualitative study. A 1100-bed Swedish university hospital. Eleven participants, nine team members from the same team and their two leaders were interviewed. The analysis was performed according to phenomenography, a research approach that aims to discover variations in peoples' understanding of a phenomenon. Seven ways of understanding operating room efficiency were identified: doing one's best from one's prerequisites, enjoying work and adjusting it to the situation, interacting group performing parallel tasks, working with minimal resources to produce desired results, fast work with preserved quality, long-term effects for patient care and a relative concept. When talking about the quality and benefits of delivered care, most team members invoked the patient as the central focus. Despite seven ways of understanding efficiency between the team members, they described their team as efficient. The nurses and assistant nurses were involved in the production and discussed working in a timely manner more than the leaders. The seven ways of understanding operating room efficiency appear to represent both organization-oriented and individual-oriented understanding of that concept in surgical teams. The patient is in focus and efficiency is understood as maintaining quality of care and measuring benefits of care for the patients.
Modeling of austenite to ferrite transformation
Indian Academy of Sciences (India)
Abstract. In this research, an algorithm based on the Q-state Potts model is presented for modeling the austenite to ferrite transformation. In the algorithm, it is possible to exactly track boundary migration of the phase formed during transformation. In the algorithm, effects of changes in chemical free energy, strain free energy ...
Congenital Vomer Agenesis: A Rare and Poorly Understood Condition Revealed by Cone Beam CT.
Yan, David Jun; Lenoir, Vincent; Chatelain, Sibylle; Stefanelli, Salvatore; Becker, Minerva
2018-02-10
Isolated congenital vomer agenesis is a very rare and poorly understood condition. In the context of dental work-up by cone-beam computed tomography (CBCT), the explored volume of the facial bones occasionally reveals incidental abnormalities. We report the case of a 13-year old Caucasian female who underwent CBCT for the pre-treatment evaluation of primary failure of tooth eruption affecting the permanent right upper and inferior molars. CBCT depicted a large defect of the postero-inferior part of the nasal septum without associated soft tissue abnormality and without cranio-facial malformation or cleft palate. In the absence of a history of trauma, chronic inflammatory sinonasal disease, neoplasia and drug abuse, a posterior nasal septum defect warrants the diagnosis of vomer agenesis. A discussion of this condition and of salient CBCT features is provided.
İnce, E; Temiz, A; Ezer, S S; Gezer, H Ö; Hiçsönmez, A
2017-06-01
Umbilical cord hernia is poorly understood and often miscategorized as "omphalocele minor". Careless clamping of the cord leads to iatrogenic gut injury in the situation of umbilical cord hernia. This study aimed to determine the characteristics and outcomes of umbilical cord hernias. We also highlight an alternative repair method for umbilical cord hernias. We recorded 15 cases of umbilical cord hernias over 10 years. The patients' data were retrospectively reviewed, and preoperative preparation of the newborn, gestational age, birth weight, other associated malformations, surgical technique used, enteral nutrition, and length of hospitalization were recorded. This study included 15 neonates with umbilical cord hernias. The mean gestational age at the time of referral was 38.2 ± 2.1 umbilical cord hernia, the body folds develop normally and form the umbilical ring. The double purse-string technique is easy to apply and produces satisfactory cosmetic results in neonates with umbilical cord hernias.
Osmanagic, Azra; Emamifar, Amir; Christian Bang, Jacob; Jensen Hansen, Inger Marie
2016-06-07
Pott's disease (PD) or spinal tuberculosis is a rare condition which accounts for less than 1% of total tuberculosis (TB) cases. The incidence of PD has recently increased in Europe and the United States, mainly due to immigration; however, it is still a rare diagnosis in Scandinavian countries, and if overlooked it might lead to significant neurologic complications. A 78-year-old woman, originally from Eastern Europe, presented to the emergency department with a complaint of nausea, vomiting, weight loss, and severe back pain. On admission she was febrile and had leukocytosis and increased C-reactive protein. Initial spinal x-ray was performed and revealed osteolytic changes in the vertebral body of T11 and T12. Magnetic resonance imaging (MRI) of the spine illustrated spondylitis of T10, T11, and T12, with multiple paravertebral and epidural abscesses, which was suggestive of PD. Polymerase chain reaction (PCR) of the patient's gastric fluid was positive for Mycobacterium tuberculosis (MT). Based on MRI and PCR findings, standard treatment for TB was initiated. Results of the spine biopsy and culture showed colonies of MT and confirmed the diagnosis afterwards. Due to the instability of the spine and severe and continuous pain, spine-stabilizing surgery was performed. Her TB was cured after nine months of treatment. PD is an important differential diagnosis of malignancy that should be diagnosed instantly. History of exposure to TB and classic radiologic finding can help make the diagnosis.
Instrumentação anterior da coluna em espondilite tuberculosa mal de pott: Relato de caso
Directory of Open Access Journals (Sweden)
Farage Luciano
2002-01-01
Full Text Available Relatamos caso de tratamento cirúrgico com instrumentação anterior em espondilite tuberculosa (mal de Pott, em mulher de 71 anos, que se encontrava em tratamento para tuberculose na forma pulmonar e evoluiu com dor lombar, dificuldade progressiva para deambular, cifose e disfunção vesical. A ressonância magnética revelou lesão nos corpos vertebrais de T12 e L1 com abcesso paravertebral. A paciente foi tratada cirurgicamente por acesso tóraco-abdominal lateral. Os corpos vertebrais foram ressecados, foi instalado uma gaiola vertical (mesh cage e a coluna foi estabilizada com placa lateral (Z plate e parafusos fixados em T11 e L2. Essa técnica permite boa artrodese dos corpos vertebrais remanescentes e boa estabilidade da coluna, sem comprometer a eficácia dos tuberculostáticos. A paciente foi avaliada um ano após a operação e não apresentava déficit motor, dor residual e a cifose foi desfeita.
The market of human organs: a window into a poorly understood global business.
Surman, O S; Saidi, R; Purtilo, R; Simmerling, M; Ko, D; Burke, T F
2008-03-01
The global demand for human organs has set the stage for an exploding and poorly understood global business in human organs. Whenever there is demand for a product, the opportunity for business arises. The form that a business takes is dependent on a complex network of inputs and outputs, each affecting the others. Historically, the details of any specific market are drastically underestimated. Nowhere is this truer than in the market of human organs. The drivers, which propel the "goods" of human organs, form a flourishing business. Critical analysis is essential to understanding of the supply and demand sides and to determine the role of government in regulating the industry. Governmental groups have dismissed formation of a regulated market for organ sales. The concept is nonetheless a topic of active discussion, motivated by the suffering of patients in need of organs and exploitation of the victims of human trafficking. Ethical principles have been invoked on each side of the ensuing debate. Theory in the absence of sufficient data is shaky ground for enactment of new policy. The Aristotelian concept of "practical wisdom" and the pragmatism of William James illuminate the importance of scientific investigation as guide to policy formation. How will stakeholders benefit or lose? What impact might be anticipated in regard to organized medicine's social contract? What can we learn about cross-cultural differences and their effect on the global landscape?
How spirituality is understood and taught in New Zealand medical schools.
Lambie, D; Egan, R; Walker, S; MacLeod, R
2015-02-01
The objective of this research was to explore how spirituality is currently understood and taught in New Zealand Medical Schools. A mixed methods study was carried out involving interviews (n = 14) and a survey (n = 73). The first stage of the study involved recorded semi-structured interviews of people involved in curriculum development from the Dunedin School of Medicine (n = 14); which then informed a cross-sectional self-reported electronic survey (n = 73). The results indicate that spirituality is regarded by many involved in medical education in New Zealand as an important part of healthcare that may be taught in medical schools, but also that there is little consensus among this group as to what the topic is about. These findings provide a basis for further discussion about including spirituality in medical curricula, and in particular indicate a need to develop a shared understanding of what 'spirituality' means and how it can be taught appropriately. As a highly secular country, these New Zealand findings are significant for medical education in other secular Western countries. Addressing spirituality with patients has been shown to positively impact a range of health outcomes, but how spirituality is taught in medical schools is still developing across the globe.
The vulnerability of family caregivers in relation to vulnerability as understood by nurses.
Sarvimäki, Anneli; Stenbock-Hult, Bettina; Sundell, Eija; Oesch-Börman, Christine
2017-03-01
In Finland, the care of older persons is shifting from institutional care to family care. Research shows that family caregivers experience their situation much in the same way as professional nurses. The nurses' experiences have been studied in terms of vulnerability, and the same perspective could deepen our understanding of family caregivers' experiences. The aim of this study was to gain knowledge of the vulnerability of older caregivers taking care of an ageing family member. The research questions were as follows: How do family caregivers experience vulnerability? How do their experiences relate to vulnerability as understood by nurses? The study was done as a secondary analysis of focus group interviews on the experiences and daily life of older family caregivers. Four caregivers had taken part in monthly interviews during a period of 10 months. The interviews were analysed by deductive and inductive content analysis. The results showed that the caregivers saw caregiving as part of being human. They experienced a variety of feelings and moral agony and were harmed physically, mentally and socially. They showed courage, protected themselves and recognised that being a caregiver also was a source of maturing and developing. These results corresponded with the nurses' understanding of vulnerability. Shame, the experience of duty as a burden, worry and loneliness were themes that were found only among the family caregivers. The use of a matrix may have restricted the analysis, but using it in an unconstrained way allowed for new themes to be created. The results indicate a common humanness and vulnerability in professional and family caregiving. They also show that family caregivers need more support both from society and professionals. © 2016 Nordic College of Caring Science.
Single-cluster dynamics for the random-cluster model
Deng, Y.; Qian, X.; Blöte, H.W.J.
2009-01-01
We formulate a single-cluster Monte Carlo algorithm for the simulation of the random-cluster model. This algorithm is a generalization of the Wolff single-cluster method for the q-state Potts model to noninteger values q>1. Its results for static quantities are in a satisfactory agreement with those
Content-Based Instruction Understood in Terms of Connectionism and Constructivism
Lain, Stephanie
2016-01-01
Despite the number of articles devoted to the topic of content-based instruction (CBI), little attempt has been made to link the claims for CBI to research in cognitive science. In this article, I review the CBI model of foreign language (FL) instruction in the context of its close alignment with two emergent frameworks in cognitive science:…
Amewu-Sirleaf, Lydia Valentina
2015-01-01
This mixed method study investigated the overarching question "how global education is understood and implemented in an educator preparation program in a Colorado university". The sub-questions used to answer the research question are: (1) How is global education/perspective understood and implemented by the faculty; (2) How do students…
The physics of magnetic resonance imaging: how well understood is it?
International Nuclear Information System (INIS)
Reynolds, S.E.
2000-01-01
Full text: Part of my work involves tutoring trainee radiologists on the physics of magnetic resonance imaging (MRI). I have observed that a full understanding of the physics involved with MRI, or nuclear magnetic resonance (NMR) to be more specific, seems to be beyond the hopes of many people working in the field. All diagnostic radiology textbooks that I have read touch very superficially on the physics of NMR and sometimes the explanations and models used are quite inaccurate and misleading. After further investigation, I found some very good coverage on the subject in chemistry texts. The physics of NMR is based on some very difficult quantum mechanical concepts. What I have managed to understand has been tremendously satisfying and has shed light on several conceptual difficulties which I initially struggled with. The physics of MRI is based on the motion of the hydrogen proton when subjected to an external magnetic field. Protons, which are positively charged particles, have an intrinsic spin and as a result, a magnetic field. A proton, when placed in an external magnetic field, undergoes several changes in its motion. The laws of quantum mechanics govern these changes. Diagnostic radiology textbook models describing the motion of a proton tend to be poor and inaccurate leading to confusion. For example, subatomic particles are subject to laws of quantum mechanics and are forbidden to align exactly with an applied magnetic field thus creating precession. Some textbooks make no attempt to explain this phenomenon whereas others attempt a superficial but inadequate quantum mechanical explanation. I am interested to canvas opinions from others involved in MRI as to difficulties they have encountered with the understanding of the physics of MRI and how they have been overcome. Copyright (2000) Australasian College of Physical Scientists and Engineers in Medicine
How static media is understood and used by high school science teachers
Hirata, Miguel
The purpose of the present study is to explore the role of static media in textbooks, as defined by Mayer (2001) in the form of printed images and text, and how these media are viewed and used by high school science teachers. Textbooks appeared in the United States in the late 1800s, and since then pictorial aids have been used extensively in them to support the teacher's work in the classroom (Giordano, 2003). According to Woodward, Elliott, and Nagel (1988/2013) the research on textbooks prior to the 1970s doesn't present relevant work related to the curricular role and the quality and instructional design of textbooks. Since then there has been abundant research, specially on the use of visual images in textbooks that has been approached from: (a) the text/image ratio (Evans, Watson, & Willows, 1987; Levin & Mayer, 1993; Mayer, 1993; Woodward, 1993), and (b) the instructional effectiveness of images (Woodward, 1993). The theoretical framework for this study comes from multimedia learning (Mayer, 2001), information design (Pettersson, 2002), and visual literacy (Moore & Dwyer, 1994). Data was collected through in-depth interviews of three high school science teachers and the graphic analyses of three textbooks used by the interviewed teachers. The interview data were compared through an analytic model developed from the literature, and the graphic analyses were performed using Mayer's multimedia learning principles (Mayer, 2001) and the Graphic Analysis Protocol (GAP) (Slough & McTigue, 2013). The conclusions of this study are: (1) pictures are specially useful for teaching science because science is a difficult subject to teach, (2) due this difficulty, pictures are very important to make the class dynamic and avoid students distraction, (3) static and dynamic media when used together can be more effective, (4) some specific type of graphics were found in the science textbooks used by the participants, in this case they were naturalistic drawings, stylized
Helle-Valle, Anna; Binder, Per-Einar; Anderssen, Norman; Stige, Brynjulf
2017-01-01
ABSTRACT ADHD can be considered an internationally recognized framework for understanding children’s restlessness. In this context, children’s restlessness is understood as a symptom of neurodevelopmental disorder. However, there are other possible understandings of children’s restlessness. In this article, we explore four boys’ collaborative and creative process as it is described and understood by three adults. The process is framed by a community music therapy project in a Norwegian kindergarten, and we describe four interrelated phases of this process: Exploring musical vitality and cooperation, Consolidating positions, Performing together, and Discovering ripple effects. We discuss these results in relation to seven qualities central to a community music therapy approach: participation, resource orientation, ecology, performance, activism, reflexivity and ethics. We argue that in contrast to a diagnostic approach that entails a focus on individual problems, a community music therapy approach can shed light on adult and systemic contributions to children’s restlessness. PMID:28532331
Mal de Pott en pediatría: presentación de 5 casos y revisión de la literatura
Directory of Open Access Journals (Sweden)
Gladys Abreu Suárez
2002-09-01
Full Text Available Se presentan 5 de los 6 niños afectados de mal de Pott en el período de 1995 a 2001, para una incidencia del 4,5 % del total de casos de tuberculosis infantil en Cuba. La mayoría de los niños tenía alrededor de 2 años de edad, con un predominio de la afectación lumbar en 4 pacientes. El cuadro clínico fue insidioso, y fueron más frecuentes el dolor de espalda y los trastornos a la marcha. El diagnóstico fue clinicorradiológico, y la tuberculina positiva en 4 niños. Sólo se aisló Micobacterium tuberculosis en un paciente, en el que concomitaban lesiones pulmonares. En 3 enfermos se hallaron abscesos paravertebrales (2 en la región dorsal, y el otro en el psoas. Aún se encuentran 3 pacientes en tratamiento; de los 2 curados, uno tiene pérdida de la lordosis fisiológica lumbar, y otro perdió un cuerpo vertebral con una giba residual ligera. Se concluye que, aunque la tuberculosis infantil no es un problema de salud en Cuba, y el mal de Pott no es frecuente, debe tenerse en cuenta ante un niño pequeño que se consulte con manifestaciones insidiosas de trastornos de la marcha y dolor de espalda.5 of the 6 children affected by Pott’s disease from 1995 to 2001 are presented in this paper for an incidence of 4.5 % of the total of cases of infantile tuberculosis in Cuba. Most of the children were about 2 years old. A predominance of lumbar affection was observed in 4 patients. The clinical picture was insidious and back pain and walking disorders were more frequent. The diagnosis was clinicoradiological and tuberculin was positive in 4 children. Micobacterium tuberculosis was only isolated from a patient with concomitant pulmonary injuries. Paravertebral abscesses (2 in the dorsal region and the other in the psoas were found in 3 patients. There are still 3 patients under treatment: one of the two that were cured suffers from loss of the physiological lumbar lordosis and the other lost a vertebral body and presents a mild residual
A thermodynamic counterpart of the Axelrod model of social influence: The one-dimensional case
Gandica, Y.; Medina, E.; Bonalde, I.
2013-12-01
We propose a thermodynamic version of the Axelrod model of social influence. In one-dimensional (1D) lattices, the thermodynamic model becomes a coupled Potts model with a bonding interaction that increases with the site matching traits. We analytically calculate thermodynamic and critical properties for a 1D system and show that an order-disorder phase transition only occurs at T=0 independent of the number of cultural traits q and features F. The 1D thermodynamic Axelrod model belongs to the same universality class of the Ising and Potts models, notwithstanding the increase of the internal dimension of the local degree of freedom and the state-dependent bonding interaction. We suggest a unifying proposal to compare exponents across different discrete 1D models. The comparison with our Hamiltonian description reveals that in the thermodynamic limit the original out-of-equilibrium 1D Axelrod model with noise behaves like an ordinary thermodynamic 1D interacting particle system.
Bhalla, Ashish; Mehrotra, Prerna; Amawi, Falah; Lund, Jonathan N
2015-01-01
Risk-adjusted outcome data for general surgeons practicing in the United Kingdom were published for the first time in 2013 with the aim of increasing transparency, improving standards, and providing the public with information to aid decision making. Most specialties used funnel plots to present their data. We assess the ability of members of the public (MoP), medical students, nonsurgical doctors (NSD), and surgeons to understand risk-adjusted surgical outcome data. A fictitious outcome dataset was created and presented in the form of a funnel plot to 10 participants from each of the aforementioned group. Standard explanatory text was provided. Each participant was given 5 minutes to review the funnel plot and complete a questionnaire. For each question, there was only 1 correct answer. Completion rate was 100% (n = 40). No difference existed between NSD and surgeons. A significant difference for identification of the "worst performing surgeon" was noted between surgeons and MoP (p funnel plot significantly "more difficult" to interpret than surgeons did (p < 0.01) and NSD (p < 0.01). MoP found these data significantly more "difficult to understand" and were less likely to both spot "outliers" and use this data to inform decisions than doctors. Surgeons should be aware that outcome data may require an alternative method of presentation to be understood by MoP. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.
Directory of Open Access Journals (Sweden)
Nana Afia Amponsaa Opoku-Asare
2015-07-01
Full Text Available Verbal and non-verbal interactions that occur daily between teachers and headteachers, teachers and pupils, and among pupils can generate conflict that may adversely affect teaching, learning, and schooling effectiveness. Little attention is, however, paid to the quality of relationships that exists between teachers and pupils, among teachers, among pupils, between teachers and their school heads, and between schools and their local communities. This study sought to investigate conflict prevalence in Ghana’s primary schools, and how relationship conflict is understood to affect teaching and learning at the level of headteachers as administrators, teachers as classroom managers, and pupils as learners, and direct beneficiaries of primary education. Using data gathered via interview, questionnaire administration, and observation in 30 public primary schools in 10 circuits of one district of Ashanti Region, the findings revealed a high prevalence of fighting, heckling, bullying, and other forms of relationship conflict among pupils; strained teacher–pupil relations due to insolence, indiscipline, and use of offensive language; and teacher–parent arguments and quarrels due to harsh punishment and verbal assault of pupils. Teacher–pupil conflicts may extend to teachers excluding the affected pupils from teaching and learning activities, denying them the rights to ask and answer questions, and have their class exercises marked, leading to lowered pupil self-esteem, reduced concentration during lessons, and passive involvement in learning activities, which could result in truancy and school dropout. Strengthening guidance mechanisms and encouraging peer mediation could significantly curb conflict in school environments and thereby raise educational standards in the district.
Non-robust Phase Transitions in the Generalized Clock Model on Trees
Külske, C.; Schriever, P.
2018-01-01
Pemantle and Steif provided a sharp threshold for the existence of a robust phase transition (RPT) for the continuous rotator model and the Potts model in terms of the branching number and the second eigenvalue of the transfer matrix whose kernel describes the nearest neighbor interaction along the edges of the tree. Here a RPT is said to occur if an arbitrarily weak coupling with symmetry-breaking boundary conditions suffices to induce symmetry breaking in the bulk. They further showed that for the Potts model RPT occurs at a different threshold than PT (phase transition in the sense of multiple Gibbs measures), and conjectured that RPT and PT should occur at the same threshold in the continuous rotator model. We consider the class of four- and five-state rotation-invariant spin models with reflection symmetry on general trees which contains the Potts model and the clock model with scalarproduct-interaction as limiting cases. The clock model can be viewed as a particular discretization which is obtained from the classical rotator model with state space S^1. We analyze the transition between PT=RPT and PT≠ RPT, in terms of the eigenvalues of the transfer matrix of the model at the critical threshold value for the existence of RPT. The transition between the two regimes depends sensitively on the third largest eigenvalue.
Statistical Mechanics Model for the Dynamics of Collective Epigenetic Histone Modification
Zhang, Hang; Tian, Xiao-Jun; Mukhopadhyay, Abhishek; Kim, K. S.; Xing, Jianhua
2014-02-01
Epigenetic histone modifications play an important role in the maintenance of different cell phenotypes. The exact molecular mechanism for inheritance of the modification patterns over cell generations remains elusive. We construct a Potts-type model based on experimentally observed nearest-neighbor enzyme lateral interactions and nucleosome covalent modification state biased enzyme recruitment. The model can lead to effective nonlocal interactions among nucleosomes suggested in previous theoretical studies, and epigenetic memory is robustly inheritable against stochastic cellular processes.
McInerney, Fran; Doherty, Kathleen; Bindoff, Aidan; Robinson, Andrew; Vickers, James
2017-11-01
A palliative approach to the care of people with dementia has been advocated, albeit from an emergent evidence base. The person-centred philosophy of palliative care resonates with the often lengthy trajectory and heavy symptom burden of this terminal condition. To explore participants' understanding of the concept of palliative care in the context of dementia. The participant population took an online course in dementia. The participant population took a massive open online course on 'Understanding Dementia' and posted answers to the question: 'palliative care means …' We extracted these postings and analysed them via the dual methods of topic modelling analysis and thematic analysis. A total of 1330 participants from three recent iterations of the Understanding Dementia Massive Open Online Course consented to their posts being used. Participants included those caring formally or informally for someone living with dementia as well as those with a general interest in dementia Results: Participants were found to have a general awareness of palliative care, but saw it primarily as terminal care, focused around the event of death and specialist in nature. Comfort was equated with pain management only. Respondents rarely overtly linked palliative care to dementia. A general lack of palliative care literacy, particularly with respect to dementia, was demonstrated by participants. Implications for dementia care consumers seeking palliative care and support include recognition of the likely lack of awareness of the relevance of palliative care to dementia. Future research could access online participants more directly about their understandings/experiences of the relationship between palliative care and dementia.
Meyer, Patrick Gerard
are not adequate to determine the shape of a molecule---but some apply the VSEPR theory in incorrect ways. (9) Students do not reason significantly differently when working with various representations of molecules such as ball-and-stick models, molecular formulas, and Lewis structures. The study illuminated specific parts of the general chemistry curriculum that are particularly troublesome for students but necessary for their further achievement in chemistry. This information is important; it gives the discipline of chemistry education target areas to focus on for general chemistry pedagogical improvement efforts.
Modeling, Analysis, and Control of Swarming Agents in a Probabilistic Framework
2012-11-01
only a single tier of mode switching with no submodes or substates for obstacle or vehicle avoidance. The potential functions, developed next, allow a... harmonic potential functions. IEEE Transactions on Robotics and Automation, 8(3):338–349, 1992. [12] D. E. Koditschek. Exact robot navigation by means of...extended potts model. Physical Review Letters, 69(13):2013–2016, Sept. 1992. [8] J. O. Kim and P. K. Khosla. Real-time obstacle avoid- ance using harmonic
DEFF Research Database (Denmark)
Buhl, Mie; Werner Hansen, Siv
2018-01-01
situation in Denmark is, as in many other countries at the moment, complex. On the one hand laws and regulations are concurrently tightened concerning residency permits, boarder control, and possession of belongings. On the other hand a nationwide humanitarian (non-political) network of citizens who have...... engages with the current societal issue of migration by instigating a co-creation experiment, which aims to convert the museum’s vision (defined by values such as ‘community’, ‘participation’, ‘responsibility’ and ‘change’) into practice. In particular, we address how the museum creates a space...... and visual ethnography (Pink, 2013; Rose, 2012) from the process of initiating and planning of the project and including visual material from the launch of the exhibition. References: Bishop, C. (2006). The Social turn: Collaboration and Its Discontents, Artforum http...
International Nuclear Information System (INIS)
Severny, A.B.
1977-01-01
Specific features of the flare phenomenon which are important for understanding of flares are the following: (1) Fine structure of visible emission of flares, especially at the very beginning and in the pre-flare active region. This structure can be seen also in later stages of development as bright points, some of which exist from the flare beginning (Babin's observations at Crimea, 1972-1976). (2) Turbulent motion with velocities up to 250-300 km s -1 as can be estimated from broadening of emission lines. (3) Predominantly red asymmetry of emission lines in the explosive phase and during further development of flares. (4) 'Supersonic' velocities and supergravitational accelerations of separate moving masses of the flare plasma. (5) The appearance of flares in areas with high grad H, exceeding 0.1 G km -1 which is equivalent to regions of electric currents > approximately 10 11 A. (6) Strong variations of net magnetic flux through the active region, as it follows from Meudon, Crimean, and Sacramento Peak (Rust's) observations. (Auth.)
Can delusions be understood linguistically?
Hinzen, Wolfram; Rosselló, Joana; McKenna, Peter
2016-01-01
ABSTRACT Delusions are widely believed to reflect disturbed cognitive function, but the nature of this remains elusive. The “un-Cartesian” cognitive-linguistic hypothesis maintains (a) that there is no thought separate from language, that is, there is no distinct mental space removed from language where “thinking” takes place; and (b) that a somewhat broadened concept of grammar is responsible for bestowing meaning on propositions, and this among other things gives them their quality of being true or false. It is argued that a loss of propositional meaning explains why delusions are false, impossible and sometimes fantastic. A closely related abnormality, failure of linguistic embedding, can additionally account for why delusions are held with fixed conviction and are not adequately justified by the patient. The un-Cartesian linguistic approach to delusions has points of contact with Frith’s theory that inability to form meta-representations underlies a range of schizophrenic symptoms. It may also be relevant to the nature of the “second factor” in monothematic delusions in neurological disease. Finally, it can inform the current debate about whether or not delusions really are beliefs. PMID:27322493
We Have Not Understood Descartes.
Vallias, Andras
1996-01-01
Describes a personal involvement with digital media and the origins of the conception of the "diagrammatic" poem. Reflects on what is considered to be a poem in tune with today's computerized society. (PA)
The n-component cubic model and flows: subgraph break-collapse method
International Nuclear Information System (INIS)
Essam, J.W.; Magalhaes, A.C.N. de.
1988-01-01
We generalise to the n-component cubic model the subgraph break-collapse method which we previously developed for the Potts model. The relations used are based on expressions which we recently derived for the Z(λ) model in terms of mod-λ flows. Our recursive algorithm is similar, for n = 2, to the break-collapse method for the Z(4) model proposed by Mariz and coworkers. It allows the exact calculation for the partition function and correlation functions for n-component cubic clusters with n as a variable, without the need to examine all of the spin configurations. (author) [pt
Modelling microstructural evolution under irradiation
International Nuclear Information System (INIS)
Tikare, V.
2015-01-01
Microstructural evolution of materials under irradiation is characterised by some unique features that are not typically present in other application environments. While much understanding has been achieved by experimental studies, the ability to model this microstructural evolution for complex materials states and environmental conditions not only enhances understanding, it also enables prediction of materials behaviour under conditions that are difficult to duplicate experimentally. Furthermore, reliable models enable designing materials for improved engineering performance for their respective applications. Thus, development and application of mesoscale microstructural model are important for advancing nuclear materials technologies. In this chapter, the application of the Potts model to nuclear materials will be reviewed and demonstrated, as an example of microstructural evolution processes. (author)
Self-Organized Societies: On the Sakoda Model of Social Interactions
Directory of Open Access Journals (Sweden)
Pablo Medina
2017-01-01
Full Text Available We characterize the behavior and the social structures appearing from a model of general social interaction proposed by Sakoda. The model consists of two interacting populations in a two-dimensional periodic lattice with empty sites. It contemplates a set of simple rules that combine attitudes, ranges of interactions, and movement decisions. We analyze the evolution of the 45 different interaction rules via a Potts-like energy function which drives the system irreversibly to an equilibrium or a steady state. We discuss the robustness of the social structures, dynamical behaviors, and the existence of spatial long range order in terms of the social interactions and the equilibrium energy.
Earl, Tara R; Fortuna, Lisa Roxanne; Gao, Shan; Williams, David R; Neighbors, Harold; Takeuchi, David; Alegría, Margarita
2015-01-01
. To examine racial-ethnic differences in the endorsement and attribution of psychotic-like symptoms in a nationally representative sample of African-Americans, Asians, Caribbean Blacks, and Latinos living in the USA. Data were drawn from a total of 979 respondents who endorsed psychotic-like symptoms as part of the National Latino and Asian American Study (NLAAS) and the National Survey of American Life (NSAL). We use a mixed qualitative and quantitative analytical approach to examine sociodemographic and ethnic variations in the prevalence and attributions of hallucinations and other psychotic-like symptoms in the NLAAS and NSAL. The lifetime presence of psychotic-like symptoms was assessed using the World Health Organization Composite International Diagnostic Interview (WMH-CIDI) psychotic symptom screener. We used logistic regression models to examine the probability of endorsing the four most frequently occurring thematic categories for psychotic-like experiences by race/ethnicity (n > 100). We used qualitative methods to explore common themes from participant responses to open ended questions on their attributions for psychotic-like symptoms. African-Americans were significantly less likely to endorse visual hallucinations compared to Caribbean Blacks (73.7% and 89.3%, p supernatural, ghosts/unidentified beings, death and dying, spirituality or religiosity, premonitions, familial and other. Respondents differed by race/ethnicity in the attributions given to psychotic like symptoms. Findings suggest that variations exist by race/ethnicity in both psychotic-like symptom endorsement and in self-reported attributions/understandings for these symptoms on a psychosis screening instrument. Ethnic/racial differences could result from culturally sanctioned beliefs and idioms of distress that deserve more attention in conducting culturally informed and responsive screening, assessment and treatment.
Directory of Open Access Journals (Sweden)
Jaclyn K Mann
2014-08-01
Full Text Available Viral immune evasion by sequence variation is a major hindrance to HIV-1 vaccine design. To address this challenge, our group has developed a computational model, rooted in physics, that aims to predict the fitness landscape of HIV-1 proteins in order to design vaccine immunogens that lead to impaired viral fitness, thus blocking viable escape routes. Here, we advance the computational models to address previous limitations, and directly test model predictions against in vitro fitness measurements of HIV-1 strains containing multiple Gag mutations. We incorporated regularization into the model fitting procedure to address finite sampling. Further, we developed a model that accounts for the specific identity of mutant amino acids (Potts model, generalizing our previous approach (Ising model that is unable to distinguish between different mutant amino acids. Gag mutation combinations (17 pairs, 1 triple and 25 single mutations within these predicted to be either harmful to HIV-1 viability or fitness-neutral were introduced into HIV-1 NL4-3 by site-directed mutagenesis and replication capacities of these mutants were assayed in vitro. The predicted and measured fitness of the corresponding mutants for the original Ising model (r = -0.74, p = 3.6×10-6 are strongly correlated, and this was further strengthened in the regularized Ising model (r = -0.83, p = 3.7×10-12. Performance of the Potts model (r = -0.73, p = 9.7×10-9 was similar to that of the Ising model, indicating that the binary approximation is sufficient for capturing fitness effects of common mutants at sites of low amino acid diversity. However, we show that the Potts model is expected to improve predictive power for more variable proteins. Overall, our results support the ability of the computational models to robustly predict the relative fitness of mutant viral strains, and indicate the potential value of this approach for understanding viral immune evasion
Mann, Jaclyn K; Barton, John P; Ferguson, Andrew L; Omarjee, Saleha; Walker, Bruce D; Chakraborty, Arup; Ndung'u, Thumbi
2014-08-01
Viral immune evasion by sequence variation is a major hindrance to HIV-1 vaccine design. To address this challenge, our group has developed a computational model, rooted in physics, that aims to predict the fitness landscape of HIV-1 proteins in order to design vaccine immunogens that lead to impaired viral fitness, thus blocking viable escape routes. Here, we advance the computational models to address previous limitations, and directly test model predictions against in vitro fitness measurements of HIV-1 strains containing multiple Gag mutations. We incorporated regularization into the model fitting procedure to address finite sampling. Further, we developed a model that accounts for the specific identity of mutant amino acids (Potts model), generalizing our previous approach (Ising model) that is unable to distinguish between different mutant amino acids. Gag mutation combinations (17 pairs, 1 triple and 25 single mutations within these) predicted to be either harmful to HIV-1 viability or fitness-neutral were introduced into HIV-1 NL4-3 by site-directed mutagenesis and replication capacities of these mutants were assayed in vitro. The predicted and measured fitness of the corresponding mutants for the original Ising model (r = -0.74, p = 3.6×10-6) are strongly correlated, and this was further strengthened in the regularized Ising model (r = -0.83, p = 3.7×10-12). Performance of the Potts model (r = -0.73, p = 9.7×10-9) was similar to that of the Ising model, indicating that the binary approximation is sufficient for capturing fitness effects of common mutants at sites of low amino acid diversity. However, we show that the Potts model is expected to improve predictive power for more variable proteins. Overall, our results support the ability of the computational models to robustly predict the relative fitness of mutant viral strains, and indicate the potential value of this approach for understanding viral immune evasion, and
Scianna, Marco; Merks, Roeland M H; Preziosi, Luigi; Medico, Enzo
2009-09-07
The different behaviors of colonies of two cell lines, ARO (thyroid carcinoma-derived cells) and MLP-29 (mouse liver progenitor cells), in response to hepatocyte growth factor (HGF) are described deducing suitable cellular Potts models (CPM). It is shown how increased motility and decreased adhesiveness are responsible for cell-cell dissociation and tissue invasion in the ARO cells. On the other hand, it is shown that, in addition to the biological mechanisms above, it is necessary to include directional persistence in cell motility and HGF diffusion to describe the scattering and the branching processes characteristic of MLP-29 cells.
The Center of Gravity, Systemically Understood
2013-05-23
Swain and Larry G. Heysteck (Riyadh, Saudi Arabia: CMH , Desert Storm Interviews, 1991), 33. 91Purvis, et al., 17. 40...Sullivan. "Interview: Centcom Planning Cell." In Unedited Transcript, edited by Richard Swain and Larry G. Heysteck. Riyadh, Saudi Arabia: CMH
Evil Understood as the Absence of Freedom
DEFF Research Database (Denmark)
Rabjerg, Bjørn
2017-01-01
Self-development is closely related to the idea of formation (or what is referred to as Bildung in German). But when speaking of formation, we have to address the question, ‘what are we formed by?’ Is the human being formed by him- or herself, or by resources originating from outside the self? Fr...
Retropharyngeal cold abscess without Pott's spine
African Journals Online (AJOL)
space is one of the rareforms of extrapulmonary tuberculosis. Early diagnosis and treatment ... of the disease. We present a case of tuberculous retropharyngeal abscess in an adult woman without tuberculosis of the cervical spine who was managed .... de la face: anatomie et applications a la pathologie. J Neuroradiol 1997 ...
Retropharyngeal cold abscess without Pott's spine
African Journals Online (AJOL)
tube≠rculosisof the spine, or external injuries caused by endoscopes or foreignbodies (e.g. fish bones). Tuberculosis of the retropharyngeal ... of the disease. We present a case of tuberculous retropharyngeal abscess in an adult woman without tuberculosis of the cervical spine who was managed surgically by aspirating ...
Medical image of the week: Pott's disease
Directory of Open Access Journals (Sweden)
Thao C
2015-07-01
Full Text Available No abstract available. Article truncated at 150 words. A 22 year-old man with a history of asthma presented with a two-month history of progressive right upper extremity weakness with back pain, weight loss, and night sweats. CT scan of the chest revealed mass-like infiltrative mass in the right lung apex with mediastinal and hilar lymphadenopathy (Figure 1. An MRI cervical spine showed a large infiltrating process at the right medial lung apex with vertebral body compression (Figure 2. A CT-guided lung biopsy was performed and it showed necrotizing granulomatous inflammation (Figure 3. Pott’s disease was diagnosed and the patient started on anti-tuberculous treatment with a good recovery. Pott’s disease is a common cause of spinal infection and its clinical presentations are nonspecific. Early findings on imaging may reveal loss of vertebral body height, bone sequestration, sclerosis, and paraspinal mass with calcification (1. A diagnosis of this condition must be made early as prompt treatment may reduce significant morbidity ...
Draft of M2 Report on Integration of the Hybrid Hydride Model into INL's MBM Framework for Review
Energy Technology Data Exchange (ETDEWEB)
Tikare, Veena; Weck, Philippe F.; Schultz, Peter Andrew; Clark, Blythe; Glazoff, Michael V.; Homer, Eric R.
2014-07-01
This report documents the development, demonstration and validation of a mesoscale, microstructural evolution model for simulation of zirconium hydride {delta}-ZrH{sub 1.5} precipitation in the cladding of used nuclear fuels that may occur during long-term dry storage. While the Zr-based claddings are manufactured free of any hydrogen, they absorb hydrogen during service, in the reactor by a process commonly termed ‘hydrogen pick-up’. The precipitation and growth of zirconium hydrides during dry storage is one of the most likely fuel rod integrity failure mechanisms either by embrittlement or delayed hydride cracking of the cladding. While the phenomenon is well documented and identified as a potential key failure mechanism during long-term dry storage (NUREG/CR-7116), the ability to actually predict the formation of hydrides is poor. The model being documented in this work is a computational capability for the prediction of hydride formation in different claddings of used nuclear fuels. This work supports the Used Fuel Disposition Research and Development Campaign in assessing the structural engineering performance of the cladding during and after long-term dry storage. This document demonstrates a basic hydride precipitation model that is built on a recently developed hybrid Potts-phase field model that combines elements of Potts-Monte Carlo and the phase-field models. The model capabilities are demonstrated along with the incorporation of the starting microstructure, thermodynamics of the Zr-H system and the hydride formation mechanism.
Lammerant, Hans; de Hert, Paul; Gutwirth, Serge; Leenes, Ronald; De Hert, Paul
2016-01-01
This article’s focus is on how the advent of big data technology and practices has been understood and addressed by policy makers in the EU. We start with a reflection on of how big data affects business processes and how it con- tributes to the creation of a data economy. Then we look at EU policy
Antiferromagnetic Ising model with transverse and longitudinal field
International Nuclear Information System (INIS)
Kischinhevsky, M.
1985-01-01
We study the quantum hamiltonian version of the Ising Model in one spacial dimension under an external longitudinal (uniform) field at zero temperature. A phenomenological renormalization group procedure is used to obtain the phase diagram; the transverse and longitudinal zero field limits are studied and we verify the validity of universality at non zero transverse fields, where two-dimensional critical behaviour is obtained. To perform the numerical calculations we use the Lanczos scheme, which gives highly precise results with rather short processing times. We also analyse the possibility of using these techniques to extend the present work to the quantum hamiltonian version of the q-state Potts Model (q>2) in larger system. (author) [pt
Energy Technology Data Exchange (ETDEWEB)
Tikare, Veena [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Hernandez-Rivera, Efrain [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Madison, Jonathan D. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Holm, Elizabeth Ann [Carnegie Mellon Univ., Pittsburgh, PA (United States); Patterson, Burton R. [Univ. of Florida, Gainesville, FL (United States). Dept. of Materials Science and Engineering; Homer, Eric R. [Brigham Young Univ., Provo, UT (United States). Dept. of Mechanical Engineering
2013-09-01
Most materials microstructural evolution processes progress with multiple processes occurring simultaneously. In this work, we have concentrated on the processes that are active in nuclear materials, in particular, nuclear fuels. These processes are coarsening, nucleation, differential diffusion, phase transformation, radiation-induced defect formation and swelling, often with temperature gradients present. All these couple and contribute to evolution that is unique to nuclear fuels and materials. Hybrid model that combines elements from the Potts Monte Carlo, phase-field models and others have been developed to address these multiple physical processes. These models are described and applied to several processes in this report. An important feature of the models developed are that they are coded as applications within SPPARKS, a Sandiadeveloped framework for simulation at the mesoscale of microstructural evolution processes by kinetic Monte Carlo methods. This makes these codes readily accessible and adaptable for future applications.
Phase transition in the infinite-dimensional Z(Q)-symmetric models
International Nuclear Information System (INIS)
Akheyan, A.Z.; Ananikyan, N.S.
1986-01-01
The critical behaviour of the Q-component Potts model on a Bethe lattice is studied. Critical temperatures T c (1) of the II order phase transition and T c (2) , below which a spontaneous magnetization exists, are found. These temperatures coincide for the ising model Q = 2. Critical exponents β and δ, and also scaling function at T ∼ T c (1) are calculated. The obtained critical exponents confirm the mean field results for the ising model and are β = 1/2, δ = 3, respectively. Their values are independent of Q. It is shown that pure gauge models have only I order phase transitions, but introducing matter fields, interacting with gauge ones it is possible to obtain the II order transition. (author)
Pott\\'s Puffy Tumour: A Case Report | Shehu | Annals of African ...
African Journals Online (AJOL)
A 10-year-old girl presented with an episode of seizure following osteomyelitis of the frontal bone and subperiosteal abscess due to frontal sinusitis. CT scan confirmed osteomeyelitis of the frontal bone and subperiosteal abscess. At surgery, the subperiosteal abscess and contiguous subdural abscess was drained and ...
Monaco, James P; Tomaszewski, John E; Feldman, Michael D; Hagemann, Ian; Moradi, Mehdi; Mousavi, Parvin; Boag, Alexander; Davidson, Chris; Abolmaesumi, Purang; Madabhushi, Anant
2010-08-01
In this paper we present a high-throughput system for detecting regions of carcinoma of the prostate (CaP) in HSs from radical prostatectomies (RPs) using probabilistic pairwise Markov models (PPMMs), a novel type of Markov random field (MRF). At diagnostic resolution a digitized HS can contain 80Kx70K pixels - far too many for current automated Gleason grading algorithms to process. However, grading can be separated into two distinct steps: (1) detecting cancerous regions and (2) then grading these regions. The detection step does not require diagnostic resolution and can be performed much more quickly. Thus, we introduce a CaP detection system capable of analyzing an entire digitized whole-mount HS (2x1.75cm(2)) in under three minutes (on a desktop computer) while achieving a CaP detection sensitivity and specificity of 0.87 and 0.90, respectively. We obtain this high-throughput by tailoring the system to analyze the HSs at low resolution (8microm per pixel). This motivates the following algorithm: (Step 1) glands are segmented, (Step 2) the segmented glands are classified as malignant or benign, and (Step 3) the malignant glands are consolidated into continuous regions. The classification of individual glands leverages two features: gland size and the tendency for proximate glands to share the same class. The latter feature describes a spatial dependency which we model using a Markov prior. Typically, Markov priors are expressed as the product of potential functions. Unfortunately, potential functions are mathematical abstractions, and constructing priors through their selection becomes an ad hoc procedure, resulting in simplistic models such as the Potts. Addressing this problem, we introduce PPMMs which formulate priors in terms of probability density functions, allowing the creation of more sophisticated models. To demonstrate the efficacy of our CaP detection system and assess the advantages of using a PPMM prior instead of the Potts, we alternately
Energy Technology Data Exchange (ETDEWEB)
Saldanha Filho, Paulo Carlos
1998-02-01
Stochastic simulation has been employed in petroleum reservoir characterization as a modeling tool able to reconcile information from several different sources. It has the ability to preserve the variability of the modeled phenomena and permits transference of geological knowledge to numerical models of flux, whose predictions on reservoir constitute the main basis for reservoir management decisions. Several stochastic models have been used and/or suggested, depending on the nature of the phenomena to be described. Markov Random Fields (MRFs) appear as an alternative for the modeling of discrete variables, mainly reservoirs with mosaic architecture of facies. In this dissertation, the reader is introduced to the stochastic modeling by MRFs in a generic sense. The main aspects of the technique are reviewed. MRF Conceptual Background is described: its characterization through the Markovian property and the equivalence to Gibbs distributions. The framework for generic modeling of MRFs is described. The classical models of Ising and Potts-Strauss are specific in this context and are related to models of Ising and Potts-Strauss are specific in this context and are related to models used in petroleum reservoir characterization. The problem of parameter estimation is discussed. The maximum pseudolikelihood estimators for some models are presented. Estimators for two models useful for reservoir characterization are developed, and represent a new contribution to the subject. Five algorithms for the Conditional Simulation of MRFs are described: the Metropolis algorithm, the algorithm of German and German (Gibbs sampler), the algorithm of Swendsen-Wang, the algorithm of Wolff, and the algorithm of Flinn. Finally, examples of simulation for some of the models discussed are presented, along with their implications on the modelling of petroleum reservoirs. (author)
arXiv Spin models in complex magnetic fields: a hard sign problem
de Forcrand, Philippe
2018-01-01
Coupling spin models to complex external fields can give rise to interesting phenomena like zeroes of the partition function (Lee-Yang zeroes, edge singularities) or oscillating propagators. Unfortunately, it usually also leads to a severe sign problem that can be overcome only in special cases; if the partition function has zeroes, the sign problem is even representation-independent at these points. In this study, we couple the N-state Potts model in different ways to a complex external magnetic field and discuss the above mentioned phenomena and their relations based on analytic calculations (1D) and results obtained using a modified cluster algorithm (general D) that in many cases either cures or at least drastically reduces the sign-problem induced by the complex external field.
Defect-phase-dynamics approach to statistical domain-growth problem of clock models
Kawasaki, K.
1985-01-01
The growth of statistical domains in quenched Ising-like p-state clock models with p = 3 or more is investigated theoretically, reformulating the analysis of Ohta et al. (1982) in terms of a phase variable and studying the dynamics of defects introduced into the phase field when the phase variable becomes multivalued. The resulting defect/phase domain-growth equation is applied to the interpretation of Monte Carlo simulations in two dimensions (Kaski and Gunton, 1983; Grest and Srolovitz, 1984), and problems encountered in the analysis of related Potts models are discussed. In the two-dimensional case, the problem is essentially that of a purely dissipative Coulomb gas, with a sq rt t growth law complicated by vertex-pinning effects at small t.
Teodoro, R.; Bezerra, C. G.; Mariz, A. M.; da Costa, F. A.; de Araújo, J. M.
2014-03-01
A three-color Ashkin-Teller model (3AT) is investigated by means of a Migdal-Kadanoff renormalization group approach on a Wheatstone bridge hierarchical lattice. The exact recursion relations for the renormalized couplings are obtained through a decimation procedure. The phase diagram of the model is obtained from the analysis of the fixed points and the flow generated by the renormalization group transformation. Four distinct phases are obtained along with nine critical points and are graphically represented in a phase diagram in terms of the dual transmissivity vector. The correlation length (νT)and crossover (ϕ) critical exponents are numerically calculated. It is found that seven of the critical points are in the Potts model universality class (q = 2, 4 e 8). The remaining critical points are in a universality class which may belong to a sort of Baxter's line. The results can be considered as an approximation to more realistic Bravais lattices.
In silico modeling for tumor growth visualization.
Jeanquartier, Fleur; Jean-Quartier, Claire; Cemernek, David; Holzinger, Andreas
2016-08-08
Cancer is a complex disease. Fundamental cellular based studies as well as modeling provides insight into cancer biology and strategies to treatment of the disease. In silico models complement in vivo models. Research on tumor growth involves a plethora of models each emphasizing isolated aspects of benign and malignant neoplasms. Biologists and clinical scientists are often overwhelmed by the mathematical background knowledge necessary to grasp and to apply a model to their own research. We aim to provide a comprehensive and expandable simulation tool to visualizing tumor growth. This novel Web-based application offers the advantage of a user-friendly graphical interface with several manipulable input variables to correlate different aspects of tumor growth. By refining model parameters we highlight the significance of heterogeneous intercellular interactions on tumor progression. Within this paper we present the implementation of the Cellular Potts Model graphically presented through Cytoscape.js within a Web application. The tool is available under the MIT license at https://github.com/davcem/cpm-cytoscape and http://styx.cgv.tugraz.at:8080/cpm-cytoscape/ . In-silico methods overcome the lack of wet experimental possibilities and as dry method succeed in terms of reduction, refinement and replacement of animal experimentation, also known as the 3R principles. Our visualization approach to simulation allows for more flexible usage and easy extension to facilitate understanding and gain novel insight. We believe that biomedical research in general and research on tumor growth in particular will benefit from the systems biology perspective.
Searle, Shayle R
2012-01-01
This 1971 classic on linear models is once again available--as a Wiley Classics Library Edition. It features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.
A MULTISCALE, CELL-BASED FRAMEWORK FOR MODELING CANCER DEVELOPMENT
Energy Technology Data Exchange (ETDEWEB)
JIANG, YI [Los Alamos National Laboratory
2007-01-16
Cancer remains to be one of the leading causes of death due to diseases. We use a systems approach that combines mathematical modeling, numerical simulation, in vivo and in vitro experiments, to develop a predictive model that medical researchers can use to study and treat cancerous tumors. The multiscale, cell-based model includes intracellular regulations, cellular level dynamics and intercellular interactions, and extracellular level chemical dynamics. The intracellular level protein regulations and signaling pathways are described by Boolean networks. The cellular level growth and division dynamics, cellular adhesion and interaction with the extracellular matrix is described by a lattice Monte Carlo model (the Cellular Potts Model). The extracellular dynamics of the signaling molecules and metabolites are described by a system of reaction-diffusion equations. All three levels of the model are integrated through a hybrid parallel scheme into a high-performance simulation tool. The simulation results reproduce experimental data in both avasular tumors and tumor angiogenesis. By combining the model with experimental data to construct biologically accurate simulations of tumors and their vascular systems, this model will enable medical researchers to gain a deeper understanding of the cellular and molecular interactions associated with cancer progression and treatment.
Study of the attractor structure of an agent-based sociological model
Energy Technology Data Exchange (ETDEWEB)
Timpanaro, Andre M; Prado, Carmen P C, E-mail: timpa@if.usp.br, E-mail: prado@if.usp.br [Instituto de Fisica da Universidade de Sao Paulo, Sao Paulo (Brazil)
2011-03-01
The Sznajd model is a sociophysics model that is based in the Potts model, and used for describing opinion propagation in a society. It employs an agent-based approach and interaction rules favouring pairs of agreeing agents. It has been successfully employed in modeling some properties and scale features of both proportional and majority elections (see for instance the works of A. T. Bernardes and R. N. Costa Filho), but its stationary states are always consensus states. In order to explain more complicated behaviours, we have modified the bounded confidence idea (introduced before in other opinion models, like the Deffuant model), with the introduction of prejudices and biases (we called this modification confidence rules), and have adapted it to the discrete Sznajd model. This generalized Sznajd model is able to reproduce almost all of the previous versions of the Sznajd model, by using appropriate choices of parameters. We solved the attractor structure of the resulting model in a mean-field approach and made Monte Carlo simulations in a Barabasi-Albert network. These simulations show great similarities with the mean-field, for the tested cases of 3 and 4 opinions. The dynamical systems approach that we devised allows for a deeper understanding of the potential of the Sznajd model as an opinion propagation model and can be easily extended to other models, like the voter model. Our modification of the bounded confidence rule can also be readily applied to other opinion propagation models.
Correlators in integrable quantum field theory: the scaling RSOS models
International Nuclear Information System (INIS)
The study of the scaling limit of two-dimensional models of statistical mechanics within the framework of integrable field theory is illustrated through the example of the RSOS models. Starting from the exact description of regime III in terms of colliding particles, we compute the correlation functions of the thermal, phi (cursive,open) Greek 1,2 and (for some cases) spin operators in the two-particle approximation. The accuracy obtained for the moments of these correlators is analysed by computing the central charge and the scaling dimensions and comparing with the exact results. We further consider the (generally non-integrable) perturbation of the critical points with both the operators phi (cursive,open) Greek 1,3 and phi (cursive,open) Greek 1,2 and locate the branches solved on the lattice within the associated two-dimensional phase diagram. Finally we discuss the fact that the RSOS models, the dilute q-state Potts model at and the O(n) vector model are all described by the same perturbed conformal field theory
Simple model for multiple-choice collective decision making.
Lee, Ching Hua; Lucas, Andrew
2014-11-01
We describe a simple model of heterogeneous, interacting agents making decisions between n≥2 discrete choices. For a special class of interactions, our model is the mean field description of random field Potts-like models and is effectively solved by finding the extrema of the average energy E per agent. In these cases, by studying the propagation of decision changes via avalanches, we argue that macroscopic dynamics is well captured by a gradient flow along E. We focus on the permutation symmetric case, where all n choices are (on average) the same, and spontaneous symmetry breaking (SSB) arises purely from cooperative social interactions. As examples, we show that bimodal heterogeneity naturally provides a mechanism for the spontaneous formation of hierarchies between decisions and that SSB is a preferred instability to discontinuous phase transitions between two symmetric points. Beyond the mean field limit, exponentially many stable equilibria emerge when we place this model on a graph of finite mean degree. We conclude with speculation on decision making with persistent collective oscillations. Throughout the paper, we emphasize analogies between methods of solution to our model and common intuition from diverse areas of physics, including statistical physics and electromagnetism.
Lateral thinking, from the Hopfield model to cortical dynamics.
Akrami, Athena; Russo, Eleonora; Treves, Alessandro
2012-01-24
Self-organizing attractor networks may comprise the building blocks for cortical dynamics, providing the basic operations of categorization, including analog-to-digital conversion, association and auto-association, which are then expressed as components of distinct cognitive functions depending on the contents of the neural codes in each region. To assess the viability of this scenario, we first review how a local cortical patch may be modeled as an attractor network, in which memory representations are not artificially stored as prescribed binary patterns of activity as in the Hopfield model, but self-organize as continuously graded patterns induced by afferent input. Recordings in macaques indicate that such cortical attractor networks may express retrieval dynamics over cognitively plausible rapid time scales, shorter than those dominated by neuronal fatigue. A cortical network encompassing many local attractor networks, and incorporating a realistic description of adaptation dynamics, may be captured by a Potts model. This network model has the capacity to engage long-range associations into sustained iterative attractor dynamics at a cortical scale, in what may be regarded as a mathematical model of spontaneous lateral thought. This article is part of a Special Issue entitled: Neural Coding. Copyright © 2011 Elsevier B.V. All rights reserved.
Well Researched, Yet Little Understood: Young Adults and Physical Activity
Cothran, Donetta; Kulinna, Pamela Hodges
2005-01-01
The authors present two beginning studies. One investigated the teaching-style preferences of young adults, and the other looked at physical activity trends within this age group. One key to understanding young adults and physical activity is to recognize the importance of participant cognition on physical activity patterns. From this…
Emotions are understood from biological motion across remote cultures.
Parkinson, Carolyn; Walker, Trent T; Memmi, Sarah; Wheatley, Thalia
2017-04-01
Patterns of bodily movement can be used to signal a wide variety of information, including emotional states. Are these signals reliant on culturally learned cues or are they intelligible across individuals lacking exposure to a common culture? To find out, we traveled to a remote Kreung village in Ratanakiri, Cambodia. First, we recorded Kreung portrayals of 5 emotions through bodily movement. These videos were later shown to American participants, who matched the videos with appropriate emotional labels with above chance accuracy (Study 1). The Kreung also viewed Western point-light displays of emotions. After each display, they were asked to either freely describe what was being expressed (Study 2) or choose from 5 predetermined response options (Study 3). Across these studies, Kreung participants recognized Western point-light displays of anger, fear, happiness, sadness, and pride with above chance accuracy. Kreung raters were not above chance in deciphering an American point-light display depicting love, suggesting that recognizing love may rely, at least in part, on culturally specific cues or modalities other than bodily movement. In addition, multidimensional scaling of the patterns of nonverbal behavior associated with each emotion in each culture suggested that similar patterns of nonverbal behavior are used to convey the same emotions across cultures. The considerable cross-cultural intelligibility observed across these studies suggests that the communication of emotion through movement is largely shaped by aspects of physiology and the environment shared by all humans, irrespective of differences in cultural context. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Prevalence of Obesity: A Public Health Problem Poorly Understood
Directory of Open Access Journals (Sweden)
Theresa A. Nicklas
2014-06-01
Full Text Available This review article discusses the Dietary Guidelines for Americans (DGA in support of a total diet approach to achieving diet and health goals, especially as they relate to the obesity epidemic. However, some scientists and organizations have identified one food, food group, or nutrient as the cause of the obesity epidemic and recommend that simply reducing that food/food group/nutrient will solve the problem. This is simplistic and unlikely to be effective in long term management of the obesity problem. This article also acknowledges discrepancies in the literature and the lack of consensus opinions from systematic reviews. Failure to consider the evidence as a whole can lead to inaccurate reports which may, in turn, adversely influence clinical practice, public policy, and future research. This article also considers where the line should be drawn between individual choice and responsibility and public regulation. Using sugar sweetened beverages as an example, the article considers the lack of a consistent association between added sugars and weight in the literature and calls for policy recommendations that are based on science and emphasizes the need for evidence-based policies rather than policy-based evidence.
The bare parameters of Gribov's Langrangian are understood and determined
International Nuclear Information System (INIS)
Bishari, M.
1977-01-01
In the context of the ''1/N Dual Unitarization'' scheme, an explicit dynamical study of the triple bare pomeron mechanism which governs the interaction term in Gribov's Lagrangian is presented. Together with the previously established bare pomeron slope and intercept, controlling respectively, the kinetic and mass terms in Gribov's Lagrangian, this work demonstrates the viability of the ''1/N Dual Unitarization'' approach for a field theory of interaction bare pomerons. (author)
Can morphogenesis be understood in terms of physical rules?
Indian Academy of Sciences (India)
Unknown
In a similar way, 3D structures of bio- logical systems constructed by computer can serve as a data base which can be applied to research, education and practical purposes. 2.1 Construction of human lung airway. The lung airway is constructed within the amniotic fluid by branching of a duct. Since it does not touch other tis-.
Happiness in Economics as Understood Across Ism and Religion
Directory of Open Access Journals (Sweden)
Abdul Ghafar Ismail
2014-12-01
Full Text Available The concept of happiness has been discussed long time ago by economists. Recently, it became the most related and important thing to be studied because of its impact in societies. Discussion about happiness basically interprets within two separate views. First, happiness related with economic variable, for instance, how money can create happiness. Second happiness is discussed within the context of religion. However, the discussion did not combine both contexts, economic variable and religion, to interpret happiness. Therefore, it is important to highlight the concept of happiness in a different way such as in this article. Different cultures will have their own perspective on the determination of happiness. From just “individual perspective” of happiness, they then formed an ism through involvement of a big society from the same culture. Some isms such as hedonism and materialism are synonyms in characterizing the concept of happiness in this modern world. At the same time, the isms are actually working with the economic and non-economic indicators as elements to strengthen the ism itself. On the other hand, the concept of happiness from the perspective of religion will also be a part of discussion in this article. Therefore, this article will reveal that the meaning of happiness is different in terms of religion and ism. So, to carry out both ism and religion simultaneously in shaping a more intrinsic value of happiness is not an easy task. Furthermore, religion is always associated with spiritual value that makes it hard for some people to practice religion and their isms at the same time. Thus, this article will propose that the right interpretation of isms based on their faith in religion can contribute to the concept of genuine happiness.
Mirror neurons and their function in cognitively understood empathy.
Corradini, Antonella; Antonietti, Alessandro
2013-09-01
The current renewal of interest in empathy is closely connected to the recent neurobiological discovery of mirror neurons. Although the concept of empathy has been widely deployed, we shall focus upon one main psychological function it serves: enabling us to understand other peoples' intentions. In this essay we will draw on neuroscientific, psychological, and philosophical literature in order to investigate the relationships between mirror neurons and empathy as to intention understanding. Firstly, it will be explored whether mirror neurons are the neural basis of our empathic capacities: a vast array of empirical results appears to confirm this hypothesis. Secondly, the higher level capacity of reenactive empathy will be examined and the question will be addressed whether philosophical analysis alone is able to provide a foundation for this more abstract level of empathy. The conclusion will be drawn that both empirical evidence and philosophical analysis can jointly contribute to the clarification of the concept of empathy. Copyright © 2013 Elsevier Inc. All rights reserved.
Sharing their stories helps young people to feel more understood.
Butler, Zoe
2017-05-10
My passion for improving mental health services started after a young woman I knew took her own life. She was part of a theatre group I volunteered for, and the distress experienced by fellow members prompted me to take action.
Default options in the ICU: widely used but insufficiently understood
Hart, Joanna; Halpern, Scott D.
2015-01-01
Purpose of review Default options dramatically influence the behavior of decision makers and may serve as effective decision support tools in the ICU. Their use in medicine has increased in an effort to improve efficiency, reduce errors, and harness the potential of healthcare technology. Recent findings Defaults often fall short of their predicted influence when employed in critical care settings as quality improvement interventions. Investigations reporting the use of defaults are often limited by variations in the relative effect across sites. Preimplementation experiments and long-term monitoring studies are lacking. Summary Defaults in the ICU may help or harm patients and clinical efficiency depending on their format and use. When constructing and encountering defaults, providers should be aware of their powerful and complex influences on decision making. Additional evaluations of the appropriate creation of healthcare defaults and their resulting intended and unintended consequences are needed. PMID:25203352
Q Fever: An Old but Still a Poorly Understood Disease
Directory of Open Access Journals (Sweden)
Hamidreza Honarmand
2012-01-01
Full Text Available Q fever is a bacterial infection affecting mainly the lungs, liver, and heart. It is found around the world and is caused by the bacteria Coxiella burnetii. The bacteria affects sheep, goats, cattle, dogs, cats, birds, rodents, and ticks. Infected animals shed this bacteria in birth products, feces, milk, and urine. Humans usually get Q fever by breathing in contaminated droplets released by infected animals and drinking raw milk. People at highest risk for this infection are farmers, laboratory workers, sheep and dairy workers, and veterinarians. Chronic Q fever develops in people who have been infected for more than 6 months. It usually takes about 20 days after exposure to the bacteria for symptoms to occur. Most cases are mild, yet some severe cases have been reported. Symptoms of acute Q fever may include: chest pain with breathing, cough, fever, headache, jaundice, muscle pains, and shortness of breath. Symptoms of chronic Q fever may include chills, fatigue, night sweats, prolonged fever, and shortness of breath. Q fever is diagnosed with a blood antibody test. The main treatment for the disease is with antibiotics. For acute Q fever, doxycycline is recommended. For chronic Q fever, a combination of doxycycline and hydroxychloroquine is often used long term. Complications are cirrhosis, hepatitis, encephalitis, endocarditis, pericarditis, myocarditis, interstitial pulmonary fibrosis, meningitis, and pneumonia. People at risk should always: carefully dispose of animal products that may be infected, disinfect any contaminated areas, and thoroughly wash their hands. Pasteurizing milk can also help prevent Q fever.
How is evidence to be understood in modern coaching psychology?
DEFF Research Database (Denmark)
Spaten, Ole Michael; Løkken, Lillith Olesen
2015-01-01
The hunt for evidence in modern coaching psychology could be counter-productive, and possibly lead to a simplified approach to research, practice, searching for “definitive truths”. The article discuss a critical approach to evidence hierarchies, and the prevalent (medical) understanding of evide......The hunt for evidence in modern coaching psychology could be counter-productive, and possibly lead to a simplified approach to research, practice, searching for “definitive truths”. The article discuss a critical approach to evidence hierarchies, and the prevalent (medical) understanding...
Learning Outcomes of 'Understanding Research' as understood by ...
African Journals Online (AJOL)
Simon Bhekumuzi
criterion for DT use, Tapscott (1998) referred to current digital users as the Net Generation, and later Prensky. (2001) referred to them as Digital natives, implying that as they are born in the digital era, it predisposes them to learning via digital technologies. The normalisation of technology in the everyday life of learners ...
How Inclusive Education Is Understood by Principals of Independent Schools
Gous, Jennifer Glenda; Eloff, Irma; Moen, Melanie Carmen
2014-01-01
Inclusive education has become a practice that has been adopted by many schools across the globe and most usually in first-world countries. As a whole-school system, it occurs less frequently in developing countries including South Africa which unlike many developing countries has a sound infrastructure and many excellent schools in both the state…
Clinical governance; How been understood, what is needed? Nurses' perspective
Directory of Open Access Journals (Sweden)
Homayoun Sadeghi Bazargani
2015-07-01
Full Text Available Introduction: Clinical Governance (CG is an overarching concept, using organizational capacity, safeguards high standards of the health services and provides a safe care for patients. The aim of this research was to study nurses’ perception about Clinical Governance. Materials and Methods: A qualitative study was done with Focus Group Discussions (FGD. Purposeful Sampling was used to select the objectives including 65 participants. Actually 7 FGD’s were held. Content analysis was used to extract the meaningful themes. Results:Nurses believed that patient centeredness and evidence based practice is the core of the CG concept. Also they mentioned that cultural change, staffs training, adequate financial and human resources are required to successfully implementation of CG in hospitals. Conclusion: Spreading up a shared vision about CG and providing the required infrastructures in hospitals would be facilitate CG initiatives. Proper commitment of the managers and staff participation could lead an effective CG implementation.
How to Talk about Media You Haven't Understood
Casilli, Antonio,
2014-01-01
The following text, featured in the special issue of the Journal of Visual Culture (vol. 13, n. 1, April 2014) celebrating the 50th anniversary of Marshall McLuhan's 'Understanding Media: The Extensions of Man' is based on the talk given by Antonio A. Casilli at the McLuhan centenary conference 'McLuhan 100 Then Now Next' (7-11 November 2011, University of Toronto).
Mal de Pott en un indígena colombiano
Leonardo F. Jurado; Martha I. Murcia; Jaime Arias; Liliana Sánchez
2015-01-01
Cada año mueren alrededor de dos millones de personas a causa de la tuberculosis y se estima que un tercio de la población mundial está infectada con el bacilo que la causa, pero solo entre 5 y 10 % desarrolla la enfermedad. El riesgo de que la enfermedad progrese al estado activo depende de factores endógenos y exógenos. Las comunidades indígenas son un grupo con un alto riesgo de infectarse y enfermar de tuberculosis; además de factores como el aislamiento geográfico, el abandono social y c...
Retropharyngeal cold abscess without Pott's spine | Singh | South ...
African Journals Online (AJOL)
In adults these abscesses can develop as a result of vertebral pyogenic osteomyelitis, tube‚rculosis of the spine, or external injuries caused by endoscopes or foreign ... We present a case of tuberculous retropharyngeal abscess in an adult woman without tuberculosis of the cervical spine who was managed surgically by ...
Pott's disease in a two-year-old girl.
Cassimos, D; Tsalkidis, A; Gardikis, S; Lazopoulou, N; Oikonomou, A; Vaos, G; Kambouri, K; Verettas, D; Theodoridou, M; Chatzimichael, A
2009-08-01
Fractures in children require a specific treatment depending on age. While obstetric fractures usually heal well even in case of significant dislocations and conservative therapy, the proportion of operative interventions among all pediatric fractures is increasing with age. Though the vast majority of fractures in childhood are still treated non-operatively, a trend towards early operative interventions and cast-free mobilization has been noticeable in the recent years. The methods of operative stabilization differ between the respective age groups: While K-wire osteosynthesis and a minimal invasive approach using elastic stable intramedullary nailing (ESIN) are common in the group of school aged children, the use of external fixation and plate osteosynthesis has been accepted for the treatment of fractures in adolescents. Bioresorbable implants do not yet play a decisive role in the management of pediatric fractures. This review is focusing on the current indications and concepts for stabilization of frequent pediatric fractures.
2008-01-01
Kogu vannitoa sisustamiseks terviklikku lahendust pakkuva tootesarja IDO Seven D (disain: Kaarle Holmberg) tualetipottidest. Seinale kinnitatavast wc-potist ja sisseehitatud värskendajaga fresh-wc-st
Off-critical statistical models: factorized scattering theories and bootstrap program
International Nuclear Information System (INIS)
Mussardo, G.
1992-01-01
We analyze those integrable statistical systems which originate from some relevant perturbations of the minimal models of conformal field theories. When only massive excitations are present, the systems can be efficiently characterized in terms of the relativistic scattering data. We review the general properties of the factorizable S-matrix in two dimensions with particular emphasis on the bootstrap principle. The classification program of the allowed spins of conserved currents and of the non-degenerate S-matrices is discussed and illustrated by means of some significant examples. The scattering theories of several massive perturbations of the minimal models are fully discussed. Among them are the Ising model, the tricritical Ising model, the Potts models, the series of the non-unitary minimal models M 2,2n+3 , the non-unitary model M 3,5 and the scaling limit of the polymer system. The ultraviolet limit of these massive integrable theories can be exploited by the thermodynamics Bethe ansatz, in particular the central charge of the original conformal theories can be recovered from the scattering data. We also consider the numerical method based on the so-called conformal space truncated approach which confirms the theoretical results and allows a direct measurement of the scattering data, i.e. the masses and the S-matrix of the particles in bootstrap interaction. The problem of computing the off-critical correlation functions is discussed in terms of the form-factor approach
A global sensitivity analysis approach for morphogenesis models
Boas, Sonja E. M.
2015-11-21
Background Morphogenesis is a developmental process in which cells organize into shapes and patterns. Complex, non-linear and multi-factorial models with images as output are commonly used to study morphogenesis. It is difficult to understand the relation between the uncertainty in the input and the output of such ‘black-box’ models, giving rise to the need for sensitivity analysis tools. In this paper, we introduce a workflow for a global sensitivity analysis approach to study the impact of single parameters and the interactions between them on the output of morphogenesis models. Results To demonstrate the workflow, we used a published, well-studied model of vascular morphogenesis. The parameters of this cellular Potts model (CPM) represent cell properties and behaviors that drive the mechanisms of angiogenic sprouting. The global sensitivity analysis correctly identified the dominant parameters in the model, consistent with previous studies. Additionally, the analysis provided information on the relative impact of single parameters and of interactions between them. This is very relevant because interactions of parameters impede the experimental verification of the predicted effect of single parameters. The parameter interactions, although of low impact, provided also new insights in the mechanisms of in silico sprouting. Finally, the analysis indicated that the model could be reduced by one parameter. Conclusions We propose global sensitivity analysis as an alternative approach to study the mechanisms of morphogenesis. Comparison of the ranking of the impact of the model parameters to knowledge derived from experimental data and from manipulation experiments can help to falsify models and to find the operand mechanisms in morphogenesis. The workflow is applicable to all ‘black-box’ models, including high-throughput in vitro models in which output measures are affected by a set of experimental perturbations.
A global sensitivity analysis approach for morphogenesis models.
Boas, Sonja E M; Navarro Jimenez, Maria I; Merks, Roeland M H; Blom, Joke G
2015-11-21
Morphogenesis is a developmental process in which cells organize into shapes and patterns. Complex, non-linear and multi-factorial models with images as output are commonly used to study morphogenesis. It is difficult to understand the relation between the uncertainty in the input and the output of such 'black-box' models, giving rise to the need for sensitivity analysis tools. In this paper, we introduce a workflow for a global sensitivity analysis approach to study the impact of single parameters and the interactions between them on the output of morphogenesis models. To demonstrate the workflow, we used a published, well-studied model of vascular morphogenesis. The parameters of this cellular Potts model (CPM) represent cell properties and behaviors that drive the mechanisms of angiogenic sprouting. The global sensitivity analysis correctly identified the dominant parameters in the model, consistent with previous studies. Additionally, the analysis provided information on the relative impact of single parameters and of interactions between them. This is very relevant because interactions of parameters impede the experimental verification of the predicted effect of single parameters. The parameter interactions, although of low impact, provided also new insights in the mechanisms of in silico sprouting. Finally, the analysis indicated that the model could be reduced by one parameter. We propose global sensitivity analysis as an alternative approach to study the mechanisms of morphogenesis. Comparison of the ranking of the impact of the model parameters to knowledge derived from experimental data and from manipulation experiments can help to falsify models and to find the operand mechanisms in morphogenesis. The workflow is applicable to all 'black-box' models, including high-throughput in vitro models in which output measures are affected by a set of experimental perturbations.
Multiscale Modeling of the Early CD8 T-Cell Immune Response in Lymph Nodes: An Integrative Study
Directory of Open Access Journals (Sweden)
Sotiris A. Prokopiou
2014-09-01
Full Text Available CD8 T-cells are critical in controlling infection by intracellular pathogens. Upon encountering antigen presenting cells, T-cell receptor activation promotes the differentiation of naïve CD8 T-cells into strongly proliferating activated and effector stages. We propose a 2D-multiscale computational model to study the maturation of CD8 T-cells in a lymph node controlled by their molecular profile. A novel molecular pathway is presented and converted into an ordinary differential equation model, coupled with a cellular Potts model to describe cell-cell interactions. Key molecular players such as activated IL2 receptor and Tbet levels control the differentiation from naïve into activated and effector stages, respectively, while caspases and Fas-Fas ligand interactions control cell apoptosis. Coupling this molecular model to the cellular scale successfully reproduces qualitatively the evolution of total CD8 T-cell counts observed in mice lymph node, between Day 3 and 5.5 post-infection. Furthermore, this model allows us to make testable predictions of the evolution of the different CD8 T-cell stages.
Mills, Kyle; Tamblyn, Isaac
2018-03-01
We demonstrate the capability of a convolutional deep neural network in predicting the nearest-neighbor energy of the 4 ×4 Ising model. Using its success at this task, we motivate the study of the larger 8 ×8 Ising model, showing that the deep neural network can learn the nearest-neighbor Ising Hamiltonian after only seeing a vanishingly small fraction of configuration space. Additionally, we show that the neural network has learned both the energy and magnetization operators with sufficient accuracy to replicate the low-temperature Ising phase transition. We then demonstrate the ability of the neural network to learn other spin models, teaching the convolutional deep neural network to accurately predict the long-range interaction of a screened Coulomb Hamiltonian, a sinusoidally attenuated screened Coulomb Hamiltonian, and a modified Potts model Hamiltonian. In the case of the long-range interaction, we demonstrate the ability of the neural network to recover the phase transition with equivalent accuracy to the numerically exact method. Furthermore, in the case of the long-range interaction, the benefits of the neural network become apparent; it is able to make predictions with a high degree of accuracy, and do so 1600 times faster than a CUDA-optimized exact calculation. Additionally, we demonstrate how the neural network succeeds at these tasks by looking at the weights learned in a simplified demonstration.
Jedrychowski, M.; Bacroix, B.; Salman, O. U.; Tarasiuk, J.; Wronski, S.
2015-08-01
The work focuses on the influence of moderate plastic deformation on subsequent partial recrystallization of hexagonal zirconium (Zr702). In the considered case, strain induced boundary migration (SIBM) is assumed to be the dominating recrystallization mechanism. This hypothesis is analyzed and tested in detail using experimental EBSD-OIM data and Monte Carlo computer simulations. An EBSD investigation is performed on zirconium samples, which were channel-die compressed in two perpendicular directions: normal direction (ND) and transverse direction (TD) of the initial material sheet. The maximal applied strain was below 17%. Then, samples were briefly annealed in order to achieve a partly recrystallized state. Obtained EBSD data were analyzed in terms of texture evolution associated with a microstructural characterization, including: kernel average misorientation (KAM), grain orientation spread (GOS), twinning, grain size distributions, description of grain boundary regions. In parallel, Monte Carlo Potts model combined with experimental microstructures was employed in order to verify two main recrystallization scenarios: SIBM driven growth from deformed sub-grains and classical growth of recrystallization nuclei. It is concluded that simulation results provided by the SIBM model are in a good agreement with experimental data in terms of texture as well as microstructural evolution.
Modeling evolutionary dynamics of epigenetic mutations in hierarchically organized tumors.
Directory of Open Access Journals (Sweden)
Andrea Sottoriva
2011-05-01
Full Text Available The cancer stem cell (CSC concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult to interpret. An important reason for this is that most experimental data that support this model rely on transplantation studies. In this study we use a novel cellular Potts model to elucidate the dynamics of established malignancies that are driven by a small subset of CSCs. Our results demonstrate that epigenetic mutations that occur during mitosis display highly altered dynamics in CSC-driven malignancies compared to a classical, non-hierarchical model of growth. In particular, the heterogeneity observed in CSC-driven tumors is considerably higher. We speculate that this feature could be used in combination with epigenetic (methylation sequencing studies of human malignancies to prove or refute the CSC hypothesis in established tumors without the need for transplantation. Moreover our tumor growth simulations indicate that CSC-driven tumors display evolutionary features that can be considered beneficial during tumor progression. Besides an increased heterogeneity they also exhibit properties that allow the escape of clones from local fitness peaks. This leads to more aggressive phenotypes in the long run and makes the neoplasm more adaptable to stringent selective forces such as cancer treatment. Indeed when therapy is applied the clone landscape of the regrown tumor is more aggressive with respect to the primary tumor, whereas the classical model demonstrated similar patterns before and after therapy. Understanding these often counter-intuitive fundamental properties of (non-hierarchically organized malignancies is a crucial step in validating the CSC concept as well as providing insight into the therapeutical consequences of this model.
Lattice models and integrability: a special issue in honour of F Y Wu
Guttmann, A. J.; Jacobsen, J. L.
2012-12-01
published in the April issue of Physical Review Letters (PRL) of the same year [4], and in September 1967, Wu moved to Northeastern University to join Lieb's group. Wu taught at Northeastern for 39 years until his retirement in 2006 as the Matthews Distinguished University Professor of Physics. Over the years, Wu has published more than 230 papers and monographs, and he continues to publish after retirement. Most of his research since 1967 is in exact and rigorous analyses of lattice models and integrable systems, which is the theme of this special issue. In 1968, after Wu's arrival at Northeastern, Lieb and Wu obtained the exact solution of the ground state of the one-dimensional Hubbard model and published the result in PRL [5], a work which has since become highly important after the advent of high-temperature superconductivity. This Lieb-Wu paper and Wu's 1982 review of the Potts model in Reviews of Modern Physics [37] are among the most cited papers in condensed matter physics. Later in 1968 Lieb departed Northeastern for MIT. As a result, the full version of the solution was not published until 34 years later [38] when Lieb and Wu collaborated to work on the manuscript on the occasion of Wu's 70th birthday. Wu spent the summer of 1968 at Stony Brook as the guest of C N Yang. Working with Yang's student, C Fan, he extended the Pfaffian solution of the Ising model to general lattices and termed such models 'free-fermion', a term now in common use [6]. In 1972, Wu visited R J Baxter, whom he had met earlier in 1968 at MIT, in Canberra, Australia, with the support of a Fulbright grant. They solved the triangular-lattice Ising model with 3-spin interactions [7], a model now known as the Baxter-Wu model. It was an ideal collaboration. While Baxter derived the solution algebraically, Wu used graphical methods to reduce the problem to an Ashkin-Teller model, which greatly simplifies the presentation. While in Canberra, Wu also studied the 8-vertex model on the honeycomb
Supplementary Material for: A global sensitivity analysis approach for morphogenesis models
Boas, Sonja
2015-01-01
Abstract Background Morphogenesis is a developmental process in which cells organize into shapes and patterns. Complex, non-linear and multi-factorial models with images as output are commonly used to study morphogenesis. It is difficult to understand the relation between the uncertainty in the input and the output of such ‘black-box’ models, giving rise to the need for sensitivity analysis tools. In this paper, we introduce a workflow for a global sensitivity analysis approach to study the impact of single parameters and the interactions between them on the output of morphogenesis models. Results To demonstrate the workflow, we used a published, well-studied model of vascular morphogenesis. The parameters of this cellular Potts model (CPM) represent cell properties and behaviors that drive the mechanisms of angiogenic sprouting. The global sensitivity analysis correctly identified the dominant parameters in the model, consistent with previous studies. Additionally, the analysis provided information on the relative impact of single parameters and of interactions between them. This is very relevant because interactions of parameters impede the experimental verification of the predicted effect of single parameters. The parameter interactions, although of low impact, provided also new insights in the mechanisms of in silico sprouting. Finally, the analysis indicated that the model could be reduced by one parameter. Conclusions We propose global sensitivity analysis as an alternative approach to study the mechanisms of morphogenesis. Comparison of the ranking of the impact of the model parameters to knowledge derived from experimental data and from manipulation experiments can help to falsify models and to find the operand mechanisms in morphogenesis. The workflow is applicable to all ‘black-box’ models, including high-throughput in vitro models in which output measures are affected by a set of experimental perturbations.
Phase transitions of boron carbide: Pair interaction model of high carbon limit
Yao, Sanxi; Huhn, W. P.; Widom, M.
2015-09-01
Boron Carbide exhibits a broad composition range, implying a degree of intrinsic substitutional disorder. While the observed phase has rhombohedral symmetry (space group R 3 bar m), the enthalpy minimizing structure has lower, monoclinic, symmetry (space group Cm). The crystallographic primitive cell consists of a 12-atom icosahedron placed at the vertex of a rhombohedral lattice, together with a 3-atom chain along the 3-fold axis. In the limit of high carbon content, approaching 20% carbon, the icosahedra are usually of type B11 Cp, where the p indicates the carbon resides on a polar site, while the chains are of type C-B-C. We establish an atomic interaction model for this composition limit, fit to density functional theory total energies, that allows us to investigate the substitutional disorder using Monte Carlo simulations augmented by multiple histogram analysis. We find that the low temperature monoclinic Cm structure disorders through a pair of phase transitions, first via a 3-state Potts-like transition to space group R3m, then via an Ising-like transition to the experimentally observed R 3 bar m symmetry. The R3m and Cm phases are electrically polarized, while the high temperature R 3 bar m phase is nonpolar.
Spädtke, P
2013-01-01
Modeling of technical machines became a standard technique since computer became powerful enough to handle the amount of data relevant to the specific system. Simulation of an existing physical device requires the knowledge of all relevant quantities. Electric fields given by the surrounding boundary as well as magnetic fields caused by coils or permanent magnets have to be known. Internal sources for both fields are sometimes taken into account, such as space charge forces or the internal magnetic field of a moving bunch of charged particles. Used solver routines are briefly described and some bench-marking is shown to estimate necessary computing times for different problems. Different types of charged particle sources will be shown together with a suitable model to describe the physical model. Electron guns are covered as well as different ion sources (volume ion sources, laser ion sources, Penning ion sources, electron resonance ion sources, and H$^-$-sources) together with some remarks on beam transport.
Applications of Markov random field models for inversion problems in geosciences
Kuwatani, T.; Nagata, K.; Okada, M.; Toriumi, M.
2012-12-01
Recently, a variety of spatial and temporal data sets can be obtained thanks to technological advances of measurement and observation in geosciences. It is very important to inverse spatial or temporal physical variables from these imaging data sets. The Markov random field (MRF) model is a stochastic model using Markov chains that is often applied for image restoration and pattern recognition in information science. In the MRF model, the spatial or temporal variations of physical properties are assumed to be relatively small compared to the observational noise and analytical uncertainty. By the Bayesian approach, the MRF model appropriately filters out high-frequency noise, and we can obtain accurate spatial distributions or time series of physical properties. Furthermore, it has the potential advantage of the incorporation of prior geophysical and geological information through the evaluation function. The purpose of this study is to develop the MRF model in order to apply it to various inversion problems in geosciences. Based on the Bayesian inference, we incorporated the nonlinear generation process of observational data sets into the MRF model. The Markov chain Monte Carlo (MCMC) algorithm was implemented to estimate hyperparameters and optimize target variables. Furthermore, it's important for inversion problems in geosciences to understand discontinuous behavior of physical variables, for example, detection of fault planes and lithospheric boundaries in the earth's interior. By introducing Potts spins as latent variables to the MRF model, we can simultaneously estimate the distributions of continuous and discontinuous variables. For examples of applications, we will introduce two inversion problems: one is a pressure-temperature inversion from compositional data of zoned minerals, and the other is an inversion of fluid distributions from observed seismic velocity structure. Based on these examples, we will discuss effectiveness and broad applicability of the
Directory of Open Access Journals (Sweden)
Vivi Andasari
Full Text Available In this paper we present a multiscale, individual-based simulation environment that integrates CompuCell3D for lattice-based modelling on the cellular level and Bionetsolver for intracellular modelling. CompuCell3D or CC3D provides an implementation of the lattice-based Cellular Potts Model or CPM (also known as the Glazier-Graner-Hogeweg or GGH model and a Monte Carlo method based on the metropolis algorithm for system evolution. The integration of CC3D for cellular systems with Bionetsolver for subcellular systems enables us to develop a multiscale mathematical model and to study the evolution of cell behaviour due to the dynamics inside of the cells, capturing aspects of cell behaviour and interaction that is not possible using continuum approaches. We then apply this multiscale modelling technique to a model of cancer growth and invasion, based on a previously published model of Ramis-Conde et al. (2008 where individual cell behaviour is driven by a molecular network describing the dynamics of E-cadherin and β-catenin. In this model, which we refer to as the centre-based model, an alternative individual-based modelling technique was used, namely, a lattice-free approach. In many respects, the GGH or CPM methodology and the approach of the centre-based model have the same overall goal, that is to mimic behaviours and interactions of biological cells. Although the mathematical foundations and computational implementations of the two approaches are very different, the results of the presented simulations are compatible with each other, suggesting that by using individual-based approaches we can formulate a natural way of describing complex multi-cell, multiscale models. The ability to easily reproduce results of one modelling approach using an alternative approach is also essential from a model cross-validation standpoint and also helps to identify any modelling artefacts specific to a given computational approach.
Jin, Ick Hoon; Yuan, Ying; Bandyopadhyay, Dipankar
2016-01-01
Research in dental caries generates data with two levels of hierarchy: that of a tooth overall and that of the different surfaces of the tooth. The outcomes often exhibit spatial referencing among neighboring teeth and surfaces, i.e., the disease status of a tooth or surface might be influenced by the status of a set of proximal teeth/surfaces. Assessments of dental caries (tooth decay) at the tooth level yield binary outcomes indicating the presence/absence of teeth, and trinary outcomes at the surface level indicating healthy, decayed, or filled surfaces. The presence of these mixed discrete responses complicates the data analysis under a unified framework. To mitigate complications, we develop a Bayesian two-level hierarchical model under suitable (spatial) Markov random field assumptions that accommodates the natural hierarchy within the mixed responses. At the first level, we utilize an autologistic model to accommodate the spatial dependence for the tooth-level binary outcomes. For the second level and conditioned on a tooth being non-missing, we utilize a Potts model to accommodate the spatial referencing for the surface-level trinary outcomes. The regression models at both levels were controlled for plausible covariates (risk factors) of caries, and remain connected through shared parameters. To tackle the computational challenges in our Bayesian estimation scheme caused due to the doubly-intractable normalizing constant, we employ a double Metropolis-Hastings sampler. We compare and contrast our model performances to the standard non-spatial (naive) model using a small simulation study, and illustrate via an application to a clinical dataset on dental caries.
The way I understood it, it wasn’t meant to be understood – when 6th grade reads Franz Kafka
DEFF Research Database (Denmark)
Johansen, Martin Blok
2017-01-01
In recent years, literacy problematics and different concepts (Cooperative Learning, Learning Styles) have taken up much of the school’s literature teaching. It has pushed discussions of the professional content into the background. This article takes up the content discussion for renewed debate......, but now also with the aim of discussing the literary texts one can present to children in school. The research questions posed are: Which texts can justifiably be presented to children as part of teaching in school? What will happen if 10 to 12-year-old Danish school pupils are presented with classical...... starting point in three concepts rooted in theory, i.e. unpredictability, defamiliarization and entitlement, which are subsequently used to get to grips with the empirical part of the study. The article does not attempt to depict a hard-and-fast picture of all children being equally enthusiastic about...
"The Way I Understood It, It Wasn't Meant to Be Understood"--When 6th Grade Reads Franz Kafka
Johansen, Martin Blok
2017-01-01
In recent years, literacy problematics and different concepts (Cooperative Learning, Learning Styles) have taken up much of the school's literature teaching. It has pushed discussions of the professional content into the background. This article takes up the content discussion for renewed debate, but now also with the aim of discussing the…
Directory of Open Access Journals (Sweden)
Mara P. Steinkamp
2013-05-01
Full Text Available Ovarian cancer relapse is often characterized by metastatic spread throughout the peritoneal cavity with tumors attached to multiple organs. In this study, interaction of ovarian tumor cells with the peritoneal tumor microenvironment was evaluated in a xenograft model based on intraperitoneal injection of fluorescent SKOV3.ip1 ovarian cancer cells. Intra-vital microscopy of mixed GFP-RFP cell populations injected into the peritoneum demonstrated that tumor cells aggregate and attach as mixed spheroids, emphasizing the importance of homotypic adhesion in tumor formation. Electron microscopy provided high resolution structural information about local attachment sites. Experimental measurements from the mouse model were used to build a three-dimensional cellular Potts ovarian tumor model (OvTM that examines ovarian tumor cell attachment, chemotaxis, growth and vascularization. OvTM simulations provide insight into the relative influence of tumor cell-cell adhesion, oxygen availability, and local architecture on tumor growth and morphology. Notably, tumors on the mesentery, omentum or spleen readily invade the open architecture, while tumors attached to the gut encounter barriers that restrict invasion and instead rapidly expand into the peritoneal space. Simulations suggest that rapid neovascularization of SKOV3.ip1 tumors is triggered by constitutive release of angiogenic factors in the absence of hypoxia. This research highlights the importance of cellular adhesion and tumor microenvironment in the seeding of secondary ovarian tumors on diverse organs within the peritoneal cavity. Results of the OvTM simulations indicate that invasion is strongly influenced by features underlying the mesothelial lining at different sites, but is also affected by local production of chemotactic factors. The integrated in vivo mouse model and computer simulations provide a unique platform for evaluating targeted therapies for ovarian cancer relapse.
DEFF Research Database (Denmark)
2012-01-01
on this subject, this book makes essential reading for anyone considering new ways of thinking about architecture. In drawing upon both historical and contemporary perspectives this book provides evidence of the ways in which relations between representation and the represented continue to be reconsidered......The relationship between representation and the represented is examined here through the notion of persistent modelling. This notion is not novel to the activity of architectural design if it is considered as describing a continued active and iterative engagement with design concerns – an evident...... characteristic of architectural practice. But the persistence in persistent modelling can also be understood to apply in other ways, reflecting and anticipating extended roles for representation. This book identifies three principle areas in which these extensions are becoming apparent within contemporary...
DEFF Research Database (Denmark)
on this subject, this book makes essential reading for anyone considering new ways of thinking about architecture. In drawing upon both historical and contemporary perspectives this book provides evidence of the ways in which relations between representation and the represented continue to be reconsidered......The relationship between representation and the represented is examined here through the notion of persistent modelling. This notion is not novel to the activity of architectural design if it is considered as describing a continued active and iterative engagement with design concerns – an evident...... characteristic of architectural practice. But the persistence in persistent modelling can also be understood to apply in other ways, reflecting and anticipating extended roles for representation. This book identifies three principle areas in which these extensions are becoming apparent within contemporary...
Energy Technology Data Exchange (ETDEWEB)
Lebensohn, Ricardo A [Los Alamos National Laboratory; Lee, Sukbin [CMU; Rollett, Anthony D [CMU
2009-01-01
A viscoplastic approach using the Fast Fourier Transform (FFT) method for obtaining local mechanical response is utilized to study microstructure-property relationships in composite materials. Specifically, three-dimensional, two-phase digital materials containing isotropically coarsened particles surrounded by a matrix phase, generated through a Kinetic Monte Carlo Potts model for Ostwald ripening, are used as instantiations in order to calculate the stress and strain rate fields under uniaxial tension. The effects of the morphology of the matrix phase, the volume fraction and the contiguity of particles, and the polycrystallinity of matrix phase, on the stress and strain rate fields under uniaxial tension are examined. It is found that the first moments of the stress and strain rate fields have a different dependence on the particle volume fraction and the particle contiguity from their second moments. The average stresses and average strain rates of both phases and of the overall composite have rather simple relationships with the particle volume fraction whereas their standard deviations vary strongly, especially when the particle volume fraction is high, and the contiguity of particles has a noticeable effect on the mechanical response. It is also found that the shape of stress distribution in the BCC hard particle phase evolves as the volume fraction of particles in the composite varies, such that it agrees with the stress field in the BCC polycrystal as the volume of particles approaches unity. Finally, it is observed that the stress and strain rate fields in the microstructures with a polycrystalline matrix are less sensitive to changes in volume fraction and contiguity of particles.
Tolerance as Understood by Young Russian and German Volunteers in Social Work
Sikorskaia, L. E.
2008-01-01
In 2006 the author and her colleagues carried out the sociological survey "Tolerance in Volunteer Social Work." They sought to determine the attitudes that young Russian and German volunteers of social work have when it comes to tolerance as a concept, a trait of personality, a principle of life and activity. They studied the various…
Silicon as Versatile Player in Plant and Human Biology: Overlooked and Poorly Understood.
Farooq, Muhammad Ansar; Dietz, Karl-Josef
2015-01-01
Silicon (Si) serves as bioactive beneficial element. Si is highly abundant in soil, and occurs ubiquitously in all organisms including plants and humans. During the last three decades, nutritional significance of Si for plant and human health has received increasing attention. Plant Si plays a pivotal role in growth and development, and this beneficial effect depends usually on accumulation in plant tissues, which are then protected from various forms of biotic and abiotic stresses. Likewise, human exposure to Si imparts health benefits and essentially occurs through plant-derived food products. Si bioavailability in human diet, e.g., strengthens bones and improves immune response, as well as neuronal and connective tissue health. Despite this empiric knowledge, the essentiality of Si still remains enigmatic. Thus the link between Si availability for plant development and its profound implication for human welfare should receive attention. This review aims to provide a broad perspective on Si as important element for plant and human nutrition and to define research fields for interdisciplinary research.
Learning Outcomes as Understood by "Publishing Research" Facilitators at a South African University
Khoza, Simon Bheki
2013-01-01
This article draws on a case study of six facilitators who were teaching Publishing Research in 2011 at one of the universities in South Africa. Publishing Research was offered by two campuses of this institution. This article gives these facilitators a voice and also identifies and defines the intended, implemented and attained learning outcomes…
Transformations of Chinese International Students Understood through a Sense of Wholeness
Wang, Yina
2012-01-01
This study aims to explore Chinese international students' academic and personal transformation under the influences of formal education in schools and informal education outside of the classroom. A qualitative inquiry using in-depth, semi-structured interviews was employed with eight senior undergraduate Chinese international students attending…
Osteogenesis imperfecta: recent findings shed new light on this once well-understood condition.
Basel, Donald; Steiner, Robert D
2009-06-01
Osteogenesis imperfecta is a systemic heritable disorder of connective tissue whose cardinal manifestation is bone fragility. In approximately 90% of individuals with osteogenesis imperfecta, mutations in either of the genes encoding the pro-alpha1 or pro-alpha2 chains of type I collagen (COL1A1 or COL1A2) can be identified. Of those without collagen mutations, a number of them will have mutations involving the enzyme complex responsible for posttranslational hydroxylation of the position 3 proline residue of COL1A1. Two of the genes encoding proteins involved in that enzyme complex, LEPRE1 and cartilage-associated protein, when mutated have been shown to cause autosomal recessive osteogenesis imperfecta, which has a moderate to severe clinical phenotype, often indistinguishable from osteogenesis imperfecta types II or III. Mutations in COL1A1 or COL1A2 which result in an abnormal protein still capable of forming a triple helix cause a more severe phenotype than mutations that lead to decreased collagen production as a result of the dominant negative effect mediated by continuous protein turnover. The current standard of care includes a multidisciplinary approach with surgical intervention when necessary, proactive physiotherapy, and consideration for the use of bisphosphonates all in attempts to improve quality of life.
Vitamin D Status and the Host Resistance to Infections: What It Is Currently (Not) Understood.
Lang, Pierre Olivier; Aspinall, Richard
2017-05-01
Vitamin D is increasingly thought to play a role in regulating immunity. This comprehensive review updates the current understanding regarding ways in which we believe that vitamin D regulates responsiveness of the immune system and how serum status modulates the host defense against pathogens. The literature was searched by using PubMed and Scopus with the following key words: vitamin D, immunity, innate and adaptive immunity, infectious disease, and vaccine response. Vitamin D deficiency remains a major public health concern worldwide. The overall body of evidence confirms that vitamin D plays an important role in modulating the immune response to infections. Epidemiologic studies suggest a clear association between vitamin D deficiency and susceptibility to various pathogens. However, translation of vitamin D use into the clinic as a means of controlling infections is fraught with methodologic and epidemiologic challenges. The recent discovery of alternative activation pathways, different active forms of vitamin D, and possible interaction with non-vitamin D receptors provide further complications to an already complex interaction between vitamin D and the immune system. Moreover, it has become apparent that the individual responsiveness to supplementation is more dynamic than presumed from the static assessment of 25-hydroxy vitamin D status. Furthermore, the epigenetic response at the level of the individual to environmental changes and lifestyle or health conditions provides greater variation than those resulting from vitamin D receptor polymorphisms. To understand the future of vitamin D with respect to clinical applications in the prevention and better control of infectious diseases, it is necessary to determine all aspects of vitamin D metabolism, as well as the mechanisms by which active forms interact with the immune system globally. For the most part, we are unable to identify tissue-specific applications of supplementation except for those subjects at high risk of osteomalacia and osteoporosis. Copyright © 2017 Elsevier HS Journals, Inc. All rights reserved.
understood with the help of a theoretical framework. He was also ...
Indian Academy of Sciences (India)
Srimath
expansion of the universe therefore is an example of the coming together of theoretical work and innovation in technology in the advancement of science. This year, we are celebrating the International Year of Astronomy. Four hundred years ago, in 1609, Galileo held his telescope to view the starry heavens, and changed ...
Hedges, Helen; Lee, Debora
2010-01-01
"Partnership between parents and teachers" is a taken-for-granted feature of the philosophy and practice of early childhood education. Yet, the literature suggests this rhetoric belies a more complex and problematic reality for teachers. Making connections with the families and communities they will serve may help teacher education…
Possibly All of that and Then Some: Scalar Implicatures Are Understood in Two Steps
Tomlinson, John M., Jr.; Bailey, Todd M.; Bott, Lewis
2013-01-01
Scalar implicatures often incur a processing cost in sentence comprehension tasks. We used a novel mouse-tracking technique in a sentence verification paradigm to test different accounts of this effect. We compared a two-step account, in which people access a basic meaning and then enrich the basic meaning to form the scalar implicature, against a…
understood with the help of a theoretical framework. He was also ...
Indian Academy of Sciences (India)
Srimath
to avoid the effects of turbulence in the lower atmosphere. A set of telescopes were built atop Mount Wilson in the western coast of USA just before Hubble began his work. The discovery of the expansion of the universe therefore is an example of the coming together of theoretical work and innovation in technology in the.
Non-Universal Usability? A Survey of How Usability Is Understood by Chinese and Danish Users
DEFF Research Database (Denmark)
Frandsen-Thorlacius, Olaf; Hornbæk, Kasper Anders Søren; Hertzum, Morten
2009-01-01
, who differ in how they understand and prioritize different aspects of usability. Chinese users appear to be more concerned with visual appearance, satisfaction, and fun than Danish users; Danish users prioritize effectiveness, efficiency, and lack of frustration higher than Chinese users. The results...... suggest that culture influences perceptions of usability. We discuss implications for usability research and for usability practice....
Immigration and Linguistic Diversity: A New and Poorly Understood Situation for Catalan
Comellas-Casanova, Pere
2016-01-01
For decades Catalan, a language minoritized and endangered by the hegemony of other state languages, has been experimenting with a process of revitalization driven by social activism and political autonomy, which has been particularly strong in some of its historical regions. Recently, however, serious doubts about the success of this process have…
Group Differences in IQ Are Best Understood as Environmental in Origin
Nisbett, Richard E.; Aronson, Joshua; Blair, Clancy; Dickens, William; Flynn, James; Halpern, Diane F.; Turkheimer, Eric
2012-01-01
Responds to the comments by J. P. Rushton (see record 2012-24333-012); M. A. Woodley and G. Meisenberg (see record 2012-24333-013); and J. D. Mayer, D. R. Caruso, A. T. Panter, and P. Salovey (see record 2012-24333-014) on the present authors' original article, "Intelligence: New findings and theoretical developments" (see record…
Are the Greenhouse Gas Implications of New Residential Developments Understood Wrongly?
Directory of Open Access Journals (Sweden)
Seppo Junnila
2012-08-01
Full Text Available Built environment carbon reduction strategies materialize predominantly in city-level greenhouse gas (GHG management, where new residential development appears as one of the key instruments. However, city-level assessments are often incapable of producing data at a community or neighborhood level and thus they may heavily underestimate the emissions from new construction. This paper explores the implications of low-energy residential construction as an instrument of climate change mitigation in the built environment and demonstrates why city-level approaches easily fail to identify the significance of the emissions from construction. We employ a hybrid life cycle assessment (LCA approach to demonstrate that, when the temporal allocation of emissions from the construction and use phases is taken into account, construction phase emissions come to have a central role in finding effective GHG mitigation strategies—even when the emissions from all consumption activities during the use phase are included in the assessment. In fact, their role would seem to be so central that new residential construction cannot be utilized as an instrument of city carbon management, even over a relatively long period. While we analyze a case study from Finland, the analysis intends to highlight the situation throughout the globe.
Muslim fundamentalism: something to be understood or to be explained away?
Bruinessen, M.M. van
1995-01-01
This article surveys various attempts to make sociological sense of the diverse Muslim movements often lumped together under the label of fundamentalism. Explanations of fundamentalism as a form of resistance to modernization or those reducing it to social and economic discontent may have some
Educational Leadership in Australian Private VET Organisations: How Is It Understood and Enacted?
Simons, Michele; Harris, Roger
2014-01-01
Ongoing reform in vocational education and training (VET) has placed significant pressure on leaders in private training organisations in terms of striking an 'appropriate' balance between educational and business imperatives. This paper draws on data from 34 interviews with leaders from 16 private registered training organisations in Australia to…
Silicon as versatile player in plant and human biology: Overlooked and poorly understood
Directory of Open Access Journals (Sweden)
Muhammad Ansar Farooq
2015-11-01
Full Text Available Silicon (Si serves as bioactive beneficial element. Si is highly abundant in soil, and occurs ubiquitously in all organisms including plants and humans. During the last three decades, nutritional significance of Si for plant and human health has received increasing attention. Plant Si plays a pivotal role in growth and development, and this beneficial effect depends usually on accumulation in plant tissues, which are then protected from various forms of biotic and abiotic stresses. Likewise, human exposure to Si imparts health benefits and essentially occurs through plant-derived food products. Si bioavailability in human diet e.g. strengthens bones and improves immune response, as well as neuronal and connective tissue health. Despite this empiric knowledge, the essentiality of Si still remains enigmatic. Thus the link between Si availability for plant development and its profound implication for human welfare should receive attention. This review aims to provide a broad perspective on Si as important element for plant and human nutrition and to define research fields for interdisciplinary research.
Taxonomy of some little-understood North American ants (Hymenoptera: Formicidae).
Shattuck, Steve; Cover, Stefan
2016-10-12
The North American ant fauna has a long and detailed taxonomic history, and the fauna is relatively well characterized compared with those of many other regions. The vast majority of taxon names are clearly defined, being treated as either valid or invalid (primarily junior synonyms). Because of this, though considerable revisionary work will be necessary in the future, specimens collected from this region may often be placed with reasonable confidence either to species, or in some cases, to species complexes even if the status of the specific taxa involved are uncertain.
Review of Parton Recombination Models
International Nuclear Information System (INIS)
Bass, Steffen A
2006-01-01
Parton recombination models have been very successful in explaining data taken at RHIC on hadron spectra and emission patterns in Au+Au collisions at transverse momenta above 2 GeV/c, which have exhibited features which could not be understood in the framework of basic perturbative QCD. In this article I will review the current status on recombination models and outline which future challenges need to be addressed by this class of models
Business models and dynamic capabilities
Teece, DJ
2017-01-01
© 2017 The Author. Business models, dynamic capabilities, and strategy are interdependent. The strength of a firm's dynamic capabilities help shape its proficiency at business model design. Through its effect on organization design, a business model influences the firm's dynamic capabilities and places bounds on the feasibility of particular strategies. While these relationships are understood at a theoretical level, there is a need for future empirical work to flesh out the details. In parti...
Mathematical model for bone mineralization
Komarova, Svetlana V.; Safranek, Lee; Gopalakrishnan, Jay; Ou, Miao-jung Yvonne; McKee, Marc D.; Murshed, Monzur; Rauch, Frank; Zuhr, Erica
2015-01-01
Defective bone mineralization has serious clinical manifestations, including deformities and fractures, but the regulation of this extracellular process is not fully understood. We have developed a mathematical model consisting of ordinary differential equations that describe collagen maturation, production and degradation of inhibitors, and mineral nucleation and growth. We examined the roles of individual processes in generating normal and abnormal mineralization patterns characterized usin...
Two-and three-dimension Potts magnetism in the renormalization group approximation
International Nuclear Information System (INIS)
Silva, L.R. da.
1985-01-01
Through a real space Renormalization Group (RG) technique we discuss the criticality of various physical systems, calculate order parameters for geometrical problems and analyse convergence aspects of the RG theory. (author) [pt
Tuberculose ostéoarticulaire (mal de Pott exclu) : à propos de 120 ...
African Journals Online (AJOL)
L'atteinte osseuse était associée à une tuberculose pulmonaire dans 05,83% des cas. Des localisations inhabituelles ont été rapportées : poignet (n=2), branches ischiopubiennes (n=4), atteinte sternoclaviculaire (n=4), médiopieds (n=2). Les lésions radiologiques étaient avancées (stades III et IV) dans 55,73% des cas.
Non-hogkins lymphoma 'masquerading' as pott's disease in a 13 ...
African Journals Online (AJOL)
Lymphomas are malignant neoplasms of the lymphoid lineage which are broadly classified as either Hodgkin disease or as non-Hodgkin lymphoma (NHL). Burkitt lymphoma, a variety of NHL, is most common in sub-Saharan Africa, where it accounts for approximately one half of childhood cancers. A case of paravertebral ...
Enfermedad de Pott: A propósito de un caso
Directory of Open Access Journals (Sweden)
Christian Ortega-Loubon
2008-01-01
Full Text Available Un tercio de la población mundial está infectada por tuberculosis. Cada año en el mundo se reportan de 8 a 10 millones de casos nuevos de tuberculosis, y cerca de 3 millones fallecen a causa de la enfermedad. Suele afectar los pulmones, pero en 33 % de los casos afecta otros órganos. La tuberculosis vertebral ocurre en menos de 1% de los pacientes, es más frecuente en niños que adultos. Los datos clínicos más comunes son: dolor, limitación funcional, y contractura muscular. En etapas avanzadas presenta una giba dorsal, y alteraciones neurológicas. Presentamos el caso de una paciente femenina de 41 años con dolor lumbar de dos años de evolución. Estudios imagenológicos revelan fractura de L3 con desplazamiento posterior de L2 más abscesos que rodean la fractura. El cultivo microbiológico informó presencia del Bacilo Ácido Alcohol Resistente Mycobacterium tuberculosis. Recibió tratamiento médico quirúrgico con adecuada respuesta clínica.
Doença de Pott após tratamento intravesical com Mycobacterium bovis BCG
Directory of Open Access Journals (Sweden)
Samaher Tannira
2016-03-01
Full Text Available Resumo: Os autores descrevem um caso de osteomielite da coluna vertebral a M. Bovis BCG num doente de 83 anos, com história prévia de carcinoma urotelial da bexiga, submetido a ressecção trans-uretral e imunoterapia com BCG intravesical durante 3 anos. Cinco anos após realização desta terapêutica, o doente desenvolveu quadro de paraparésia progressiva, tendo realizado ressonância magnética que revelou lesão osteolítica ao nível de D10 e D11, sugestiva de infiltração secundária/infecciosa. Foi submetido a laminectomia de D10 a L1 e vertebroplastia D11 a D12. O exame directo foi positivo para micobactérias e a microscopia da lesão osteolítica dorsal identificou inflamação granulomatosa com presença de células gigantes, tendo iniciado terapêutica com Isoniazida, Rifampicina, Pirazinamida e Etambutol, com melhoria clínica. Abstract: The authers describe a case of M. bovis BCG vertebral osteomyelitis in a patient of 83 years with a previous history of urothelial bladder carcinoma, underwent trans-urethral resection and intravesical BCG immunotherapy for 3 years. Five years post-treatment, the patient developed progressive paraparesis. Magnetic resonance imaging revealed lytic lesion at the level of D10 and D11, suggestive of secondary/infectious infiltration. Laminectomy of D10-L1 and vertebroplasty of D11-D12 has been performed. Direct smear examination for mycobacteria showed to be positive. Microscopy of dorsal osteolytic lesion identified granulomatous inflammation with giant cells. The patient showed clinical improvment after treatment with isoniazid, rifampicin, pyrazinamide and ethambutol.
Angular kyphosis as an indicator of the prevalence of Pott's disease ...
African Journals Online (AJOL)
Less frequent aetiologies included fractures (2), osteoporosis (1), congenital malformation (1) and kyphosis of unknown origin (2). Eleven of the kyphotic patients were seeking care for unrelated problems and were asymptomatic in respect of their kyphoses. As a subset, the asymptomatic individuals demonstrated a similar ...
Angular kyphosis as an indicator of the prevalence of Pott's disease ...
African Journals Online (AJOL)
'rounded' or 'angular'. Rounded kyphosis is common and includes physiological, osteoporotic, postural and. Scheuermann's kyphoses. Angular kyphosis, in contrast, is characterised by an abrupt increase in the dorsal angulation of the spine within the span of a few vertebrae. Angular. Division of Orthopaedics, University of ...
LENUS (Irish Health Repository)
Bourke, M G
2010-11-05
The incidence of spinal tuberculosis is increasing in developed nations. In Ireland, half of all cases seen in the most recent decade for which figures are available were diagnosed in 2005-2007, the three most recent years for which there is complete data. We discuss a patient who presented with neurological complications due to destructive spinal tuberculous disease affecting the sixth cervical vertebra.
Modeling containment of large wildfires using generalized linear mixed-model analysis
Mark Finney; Isaac C. Grenfell; Charles W. McHugh
2009-01-01
Billions of dollars are spent annually in the United States to contain large wildland fires, but the factors contributing to suppression success remain poorly understood. We used a regression model (generalized linear mixed-model) to model containment probability of individual fires, assuming that containment was a repeated-measures problem (fixed effect) and...
Teaching Molecular Geometry with the VSEPR Model
Gillespie, Ronald J.
2004-01-01
The first introduction to molecular geometry should be through the simple and easily understood VSEPR model, as the Valence Bond Theory and MO Theory suffer from limitations as far as understanding molecular geometry is concerned. The VSEPR model gives a perfectly satisfactory description of the bonding that follows directly from the Lewis model…
How visual cognition influences process model comprehension
Petrusel, Razvan; Mendling, Jan; Reijers, Hajo A.
2017-01-01
Process analysts and other professionals extensively use process models to analyze business processes and identify performance improvement opportunities. Therefore, it is important that such models can be easily and properly understood. Previous research has mainly focused on two types of factors
Dimensionality reduction in complex models
Boukouvalas, Alexis; Maniyar, Dharmesh M.; Cornford, Dan
2007-01-01
As a part of the Managing Uncertainty in Complex Models (MUCM) project, research at Aston University will develop methods for dimensionality reduction of the input and/or output spaces of models, as seen within the emulator framework. Towards this end this report describes a framework for generating toy datasets, whose underlying structure is understood, to facilitate early investigations of dimensionality reduction methods and to gain a deeper understanding of the algorithms employed, both i...
Rethinking exchange market models as optimization algorithms
Luquini, Evandro; Omar, Nizam
2018-02-01
The exchange market model has mainly been used to study the inequality problem. Although the human society inequality problem is very important, the exchange market models dynamics until stationary state and its capability of ranking individuals is interesting in itself. This study considers the hypothesis that the exchange market model could be understood as an optimization procedure. We present herein the implications for algorithmic optimization and also the possibility of a new family of exchange market models
Directory of Open Access Journals (Sweden)
Rachida A. Bouhenni
2012-01-01
Full Text Available Glaucoma is a heterogeneous group of disorders that progressively lead to blindness due to loss of retinal ganglion cells and damage to the optic nerve. It is a leading cause of blindness and visual impairment worldwide. Although research in the field of glaucoma is substantial, the pathophysiologic mechanisms causing the disease are not completely understood. A wide variety of animal models have been used to study glaucoma. These include monkeys, dogs, cats, rodents, and several other species. Although these models have provided valuable information about the disease, there is still no ideal model for studying glaucoma due to its complexity. In this paper we present a summary of most of the animal models that have been developed and used for the study of the different types of glaucoma, the strengths and limitations associated with each species use, and some potential criteria to develop a suitable model.
Models, Matter and Truth in Doing and Learning Science
Hardman, Mark
2017-01-01
Doing science involves the development and evaluation of models. These models are not objective truths but can be understood as explanations, which scientists use to explore and reason about an aspect of the world. Learning science involves students expressing and engaging with models in the classroom. However, this learning should not be seen as…
Model for correlations in stock markets
Noh
2000-05-01
We propose a group model for correlations in stock markets. In the group model the markets are composed of several groups, within which the stock price fluctuations are correlated. The spectral properties of empirical correlation matrices reported recently are well understood from the model. It provides the connection between the spectral properties of the empirical correlation matrix and the structure of correlations in stock markets.
Stochastic modelling of dynamical systems in biology
Pellin, Danilo
2017-01-01
In this thesis two relevant biological problems will be addressed from a statistical modelling perspective. The first regards the study of hematopoiesis, a still not well understood biological process rarely observable in humans due to technical and ethical reasons. Hematopoiesis is responsible for
Consistent spectroscopy for a extended gauge model
International Nuclear Information System (INIS)
Oliveira Neto, G. de.
1990-11-01
The consistent spectroscopy was obtained with a Lagrangian constructed with vector fields with a U(1) group extended symmetry. As consistent spectroscopy is understood the determination of quantum physical properties described by the model in an manner independent from the possible parametrizations adopted in their description. (L.C.J.A.)
Statistical Physics Approach to Political Districting Problem
Chou, Chung-I.; Li, Sai-Ping
The Political Districting Problem is to partition a zone into several electoral districts subject to some constraints such as contiguity, population equality, etc. In this paper, we apply statistical physics methods to Political Districting Problem. This political problem is mapped to a q-state Potts model system, and the political constraints are written in the form of an energy function with the interactions between sites or external fields acting on the system. Districting into q voter districts is equivalent to finding the ground state of this q-state Potts model. We illustrate this problem by districting Taipei city and compare it to a computer-generated artificial system.
Validation of mentorship model for newly qualified professional ...
African Journals Online (AJOL)
Newly qualified professional nurses (NQPNs) allocated to community health care services require the use of validated model to practice independently. Validation was done to adapt and assess if the model is understood and could be implemented by NQPNs and mentors employed in community health care services.
Painting a picture across the landscape with ModelMap
Brian Cooke; Elizabeth Freeman; Gretchen Moisen; Tracey Frescino
2017-01-01
Scientists and statisticians working for the Rocky Mountain Research Station have created a software package that simplifies and automates many of the processes needed for converting models into maps. This software package, called ModelMap, has helped a variety of specialists and land managers to quickly convert data into easily understood graphical images. The...
Brozoski, Thomas J; Bauer, Carol A
2016-08-01
motivational manipulation, but its sensitivity, reliability, mechanism, and optimal implementation are incompletely understood. While to date animal models have significantly expanded the neuroscience of tinnitus, they have been limited to examining sensory features. In the human condition, emotional and cognitive factors are also important. It is not clear that the emotional features of tinnitus can be further understood using animal models, but models may be applied to examine cognitive factors. A recently developed model is described that reveals an interaction between tinnitus and auditory attention. This research suggests that effective tinnitus therapy could rely on modifying attention to the sensation rather than modifying the sensation itself. This article is part of a Special Issue entitled . Copyright © 2015 Elsevier B.V. All rights reserved.
Directory of Open Access Journals (Sweden)
Rosa Maria Rodrigues
2001-11-01
Full Text Available A proposta é refletir sobre a enfermagem enquanto trabalho, afastando sua concepção amplamente aceita que a identifica a uma atividade de ajuda, sendo que tal concepção poderia ser fator dificultante para o enfrentamento e transformação das condições de trabalho. Tenta situar na história o contexto em que é elaborado o modelo vocacional/religioso e identificar nas falas de alunos do primeiro e quarto ano de um curso de Graduação em Enfermagem as manifestações daquela concepção, apontando para a necessidade da atividade docente ser permeada pela concepção da enfermagem/trabalho.La propuesta es reflexionar sobre la enfermería como trabajo, alejando su concepción ampliamente aceptada. que la identifica como una actividad de ayuda, siendo que tal concepción podría ser un factor que dificulta el enfrentamiento y la transformación de las condiciones de trabajo. Él trabajo intenta situar en la historia el contexto en que es elaborado el modelo vocacional/religioso e identificar en los discursos de los alumnos de pregrado de enfermería las manifestaciones de aquella concepción, apuntando para la necesidad de la actividad docente estar influenciada por la concepción de la enfermería/trabajo.This study aimed at reflecting about nursing as job by disconsidering the widely accepted conception that identifies it as an assistance activity for that conception might hinder actions towards coping with and changing work conditions. The study attempted to place in history the context in which the vocational/religious model was elaborated as well as to identify the manifestations of that conception in the discourse of Nursing freshmen and seniors, pointing out the fact that the teaching activity must be permeated by the conception of nursing/work.
Models for map building and navigation
International Nuclear Information System (INIS)
Penna, M.A.; Jian Wu
1993-01-01
In this paper the authors present several models for solving map building and navigation problems. These models are motivated by biological processes, and presented in the context of artificial neural networks. Since the nodes, weights, and threshold functions of the models all have physical meanings, they can easily predict network topologies and avoid traditional trial-and-error training. On one hand, this makes their models useful in constructing solutions to engineering problems (problems such as those that occur in robotics, for example). On the other hand, this might also contribute to the ability of their models to explain some biological processes, few of which are completely understood at this time
Threat modeling and circumvention of Internet censorship
Fifield, David
2017-01-01
Research on Internet censorship is hampered by poor models of censor behavior. Censor models guide the development of circumvention systems, so it is important to get them right. A censor model should be understood not just as a set of capabilities—such as the ability to monitor network traffic—but as a set of priorities constrained by resource limitations.My research addresses the twin themes of modeling and circumvention. With a grounding in empirical research, I build up an abstract model ...
Downing, Scott S; Lee, Yan T; Farb, David H; Gibbs, Terrell T
2005-01-01
Benzodiazepines (BZDs) have been used extensively for more than 40 years because of their high therapeutic index and low toxicity. Although BZDs are understood to act primarily as allosteric modulators of GABAA receptors, the mechanism of modulation is not well understood.The applicability of an allosteric model with two binding sites for γ-aminobutyric acid (GABA) and one for a BZD-like modulator was investigated.This model predicts that BZDs should enhance the efficacy of partial agonists.C...
Gouvea, Julia; Passmore, Cynthia
2017-03-01
The inclusion of the practice of "developing and using models" in the Framework for K-12 Science Education and in the Next Generation Science Standards provides an opportunity for educators to examine the role this practice plays in science and how it can be leveraged in a science classroom. Drawing on conceptions of models in the philosophy of science, we bring forward an agent-based account of models and discuss the implications of this view for enacting modeling in science classrooms. Models, according to this account, can only be understood with respect to the aims and intentions of a cognitive agent (models for), not solely in terms of how they represent phenomena in the world (models of). We present this contrast as a heuristic— models of versus models for—that can be used to help educators notice and interpret how models are positioned in standards, curriculum, and classrooms.
Complex Networks in Psychological Models
Wedemann, R. S.; Carvalho, L. S. A. V. D.; Donangelo, R.
We develop schematic, self-organizing, neural-network models to describe mechanisms associated with mental processes, by a neurocomputational substrate. These models are examples of real world complex networks with interesting general topological structures. Considering dopaminergic signal-to-noise neuronal modulation in the central nervous system, we propose neural network models to explain development of cortical map structure and dynamics of memory access, and unify different mental processes into a single neurocomputational substrate. Based on our neural network models, neurotic behavior may be understood as an associative memory process in the brain, and the linguistic, symbolic associative process involved in psychoanalytic working-through can be mapped onto a corresponding process of reconfiguration of the neural network. The models are illustrated through computer simulations, where we varied dopaminergic modulation and observed the self-organizing emergent patterns at the resulting semantic map, interpreting them as different manifestations of mental functioning, from psychotic through to normal and neurotic behavior, and creativity.
2011-06-01
GHANA MACEDONIA U N I T E D S T A T E S GALAPAGOS ISLANDS South Georgia CANARY ISLANDS A L E U T I A N I S L A N D S S V A L B A R D Z E M LYA F R...R U B O L I V I A PARAGUAY A R G E N T I N A URUGUAY CHILE FALKLAND/MALVINAS ISLANDS NEW ZEALAND FIJI G R E E N L A N D ICELAND NORWAY SWEDEN FINLAND...LAOS THAILAND CAMBODIA VIETNAM M A L A Y S I A BRUNEI PHILIPPINES TAIWAN I N D O N E S I A PAPUA NEW GUINEA SOLOMON ISLANDS FIJI VANUATU NEW CALEDONIA
Lorenzo, Genevieve L; Biesanz, Jeremy C; Human, Lauren J
2010-12-01
Beautiful people are seen more positively than others, but are they also seen more accurately? In a round-robin design in which previously unacquainted individuals met for 3 min, results were consistent with the "beautiful is good" stereotype: More physically attractive individuals were viewed with greater normative accuracy; that is, they were viewed more in line with the highly desirable normative profile. Notably, more physically attractive targets were viewed more in line with their unique self-reported personality traits, that is, with greater distinctive accuracy. Further analyses revealed that both positivity and accuracy were to some extent in the eye of the beholder: Perceivers' idiosyncratic impressions of a target's attractiveness were also positively related to the positivity and accuracy of impressions. Overall, people do judge a book by its cover, but a beautiful cover prompts a closer reading, leading more physically attractive people to be seen both more positively and more accurately.
Cazzo, Everton; Gestic, Martinho Antonio; Utrini, Murillo Pimentel; Chaim, Felipe David Mendonça; Geloneze, Bruno; Pareja, José Carlos; Chaim, Elinton Adami; Magro, Daniéla Oliveira
2016-01-01
Glucagon-like peptide-2 (GLP-2) is a gastrointestinal hormone whose effects are predominantly trophic on the intestinal mucosa. Critically evaluate the current literature on the influence of bariatric/metabolic surgery on the levels of GLP-2 and its potential clinical implications. s: Narrative review through online research on the databases Medline and Lilacs. There were six prospective human studies, two cross-sectional human studies, and three experimental animal studies selected. There is evidence demonstrating significant increase in the levels of GLP-2 following gastric bypass, Scopinaro operation, and sleeve gastrectomy. There are no differences between gastric bypass and sleeve gastrectomy in regards to the increase in the GLP-2 levels. There is no correlation between the postoperative levels of GLP-2 and the occurrence of adequate or insufficient postoperative weight loss. GLP-2 plays significant roles on the regulation of nutrient absorption, permeability of gut mucosa, control of bone resorption, and regulation of satiety. The overall impact of these effects potentially exerts a significant adaptive or compensatory effect within the context of varied bariatric surgical techniques. O peptídeo semelhante ao glucagon-2 (GLP-2) é hormônio gastrointestinal com efeitos predominantemente tróficos sobre a mucosa intestinal. Avaliar criticamente a literatura atual a respeito da cirurgia bariátrica/metabólica sobre os níveis de GLP-2 e suas potenciais implicações clínicas. Revisão narrativa realizada através de pesquisa on-line nas bases de dados Medline e LILACS. Foram selecionados seis estudos prospectivos em humanos, dois transversais em humanos e três experimentais em animais. Existem evidências demonstrando aumento significativo nos níveis de GLP-2 após o bypass gástrico, a operação de Scopinaro e a gastrectomia vertical. Não foram observadas diferenças entre o bypass gástrico e a gastrectomia vertical em relação ao aumento do GLP-2. Não há correlação entre os níveis de GLP-2 e a ocorrência de perda de peso pós-operatória adequada ou insuficiente. O GLP-2 desempenha importantes papel sobre a regulação da absorção de nutrientes, permeabilidade da mucosa intestinal, controle da reabsorção óssea e regulação da saciedade. O impacto combinado destes efeitos potencialmente exerce efeito adaptativo ou compensatório importante no contexto das diferentes técnicas bariátricas.
Frankl, Amaury; Annys, Klaas; Spalević, Velibor; Čurović, Milic; Borota, Dragan; Nyssen, Jan
2014-05-01
In the Balkans, few studies exist that highlight the impact of the Quaternary glaciations on the landscape. However, the impact of the Quaternary glaciations was important and the glacial imprint remains well preserved in the limestone massifs where karst hydrology prevails. This study presents a detailed geomorphological map at scale 1:10,000 that was prepared of the northeastern Durmitor mountains (2523 m a.s.l.) and the plateau Jezerska Površ (47 km², Dinaric Alps, Montenegro). Mapping occurred from an intensive fieldwork campaign and remote sensing analysis, and was finalized in a GIS environment. The basic components of the legend are (i) processes/genesis, (ii) materials, (iii) morphometry/morphography, (iv) hydrography, (v) vegetation and (vi) anthropogenic features, that are organized as a box-of-bricks type of legend (AGRG-system). The geomorphological setting of the area consists of Mesozoic limestones which were eroded physically by Quaternary glacial and periglacial activity and chemically during interglacials. Glacial deposits of three Middle to Late Pleistocene glacial phases exist on the plateau, only scarcely dissected by meltwater channels. In the mountains, Holocene glacier retreat left behind a series of well-preserved recessional moraines and a static glacier remains in the cirque head. The presented map serves as a valuable tool for Quaternary research in the Durmitor Mountains, and serves as an example on the interaction between glacial and karst processes. Keywords: Debeli Namet glacier, Dinaric Alps, Geographic Information System (GIS), Glacial landforms, Karst.
Apperly, Ian. A.; Williams, Emily; Williams, Joelle
2004-01-01
In 4 experiments 120 three-to four-year-old non readers were asked the identity of a symbolic representation as it appeared with different objects. Consistent with Bialystok (2000), many children judged the identity of written words to vary according to the object with which they appeared but few made such errors with recognizable pictures.…
Nana Afia Amponsaa Opoku-Asare; Harriet Takyi; Margaret Owusu-Mensah
2015-01-01
Verbal and non-verbal interactions that occur daily between teachers and headteachers, teachers and pupils, and among pupils can generate conflict that may adversely affect teaching, learning, and schooling effectiveness. Little attention is, however, paid to the quality of relationships that exists between teachers and pupils, among teachers, among pupils, between teachers and their school heads, and between schools a...
CAZZO, Everton; GESTIC, Martinho Antonio; UTRINI, Murillo Pimentel; CHAIM, Felipe David Mendonça; GELONEZE, Bruno; PAREJA, José Carlos; CHAIM, Elinton Adami; MAGRO, Daniéla Oliveira
2016-01-01
ABSTRACT Introduction: Glucagon-like peptide-2 (GLP-2) is a gastrointestinal hormone whose effects are predominantly trophic on the intestinal mucosa. Aim: Critically evaluate the current literature on the influence of bariatric/metabolic surgery on the levels of GLP-2 and its potential clinical implications. Method s: Narrative review through online research on the databases Medline and Lilacs. There were six prospective human studies, two cross-sectional human studies, and three experimental animal studies selected. Results: There is evidence demonstrating significant increase in the levels of GLP-2 following gastric bypass, Scopinaro operation, and sleeve gastrectomy. There are no differences between gastric bypass and sleeve gastrectomy in regards to the increase in the GLP-2 levels. There is no correlation between the postoperative levels of GLP-2 and the occurrence of adequate or insufficient postoperative weight loss. Conclusion: GLP-2 plays significant roles on the regulation of nutrient absorption, permeability of gut mucosa, control of bone resorption, and regulation of satiety. The overall impact of these effects potentially exerts a significant adaptive or compensatory effect within the context of varied bariatric surgical techniques. PMID:28076485
Does loading influence the severity of cartilage degeneration in the canine groove-model of OA?
Vos, P.; Intema, F.; El, B. van; Groot, J. de; Bijlsma, J.W.J.; Lafeber, F.; Mastbergen, S.
2009-01-01
Many animal models are used to study osteoarthritis (OA). In these models the role of joint loading in the development of OA is not fully understood. We studied the effect of loading on the development of OA in the canine Groove-model. In ten female beagle dogs OA was induced in one knee according
Ziegler, Johannes C.; Castel, Caroline; Pech-Georgel, Catherine; George, Florence; Alario, F-Xavier; Perry, Conrad
2008-01-01
Developmental dyslexia was investigated within a well-understood and fully specified computational model of reading aloud: the dual route cascaded model (DRC [Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J.C. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108,…
Chemical kinetics and modeling of planetary atmospheres
Yung, Yuk L.
1990-01-01
A unified overview is presented for chemical kinetics and chemical modeling in planetary atmospheres. The recent major advances in the understanding of the chemistry of the terrestrial atmosphere make the study of planets more interesting and relevant. A deeper understanding suggests that the important chemical cycles have a universal character that connects the different planets and ultimately link together the origin and evolution of the solar system. The completeness (or incompleteness) of the data base for chemical kinetics in planetary atmospheres will always be judged by comparison with that for the terrestrial atmosphere. In the latter case, the chemistry of H, O, N, and Cl species is well understood. S chemistry is poorly understood. In the atmospheres of Jovian planets and Titan, the C-H chemistry of simple species (containing 2 or less C atoms) is fairly well understood. The chemistry of higher hydrocarbons and the C-N, P-N chemistry is much less understood. In the atmosphere of Venus, the dominant chemistry is that of chlorine and sulfur, and very little is known about C1-S coupled chemistry. A new frontier for chemical kinetics both in the Earth and planetary atmospheres is the study of heterogeneous reactions. The formation of the ozone hole on Earth, the ubiquitous photochemical haze on Venus and in the Jovian planets and Titan all testify to the importance of heterogeneous reactions. It remains a challenge to connect the gas phase chemistry to the production of aerosols.
DEFF Research Database (Denmark)
Petersen, Cecilie; Helvind, Morten; Jensen, Tim
2013-01-01
We report on a 10-year-old boy with medically refractory pulmonary arterial hypertension (PAH) and end-stage right heart failure after closure of a ventricular septal defect. The boy was a candidate for lung transplantation (LTX), but an alternative option was to create an Eisenmenger physiology ...
Directory of Open Access Journals (Sweden)
Roman Malo
2009-01-01
Full Text Available E-learning is the word which is used especially for discussion of education activities, trends and problems. However, principles of electronic education are fitness for use also within business activities in the area of a support for reaching business goals and as a part of marketing activities. These ones are examples that e-learning is not understood only in its primary form – as a tool of increasing quality of human resources. As well, applying it within supply or demand business relationships is also possible in the form of a tool increasing these processes’ efficiency. The necessity of suitable framework model existence is clear.In this paper a set of issues influencing a development of business models within e-learning area is discussed. On these basics three general e-learning business models are specified. All models are universal and that is why there is no barrier for applying their utilization within various business branches.
Comfort model for automobile seat.
da Silva, Lizandra da; Bortolotti, Silvana Ligia Vincenzi; Campos, Izabel Carolina Martins; Merino, Eugenio Andrés Díaz
2012-01-01
Comfort on automobile seats is lived daily by thousands of drivers. Epistemologically, comfort can be understood under the theory of complexity, since it emerges from a chain of interrelationships between man and several elements of the system. This interaction process can engender extreme comfort associated to the feeling of pleasure and wellbeing or, on the other hand, lead to discomfort, normally followed by pain. This article has for purpose the development of a theoretical model that favours the comfort feature on automobile seats through the identification of its facets and indicators. For such, a theoretical study is resorted to, allowing the mapping of elements that constitute the model. The results present a comfort model on automobile seats that contemplates the (physical, psychological, object, context and environment) facets. This model is expected to contribute with the automobile industry for the development of improvements of the ergonomic project of seats to increase the comfort noticed by the users.
Healing from Childhood Sexual Abuse: A Theoretical Model
Draucker, Claire Burke; Martsolf, Donna S.; Roller, Cynthia; Knapik, Gregory; Ross, Ratchneewan; Stidham, Andrea Warner
2011-01-01
Childhood sexual abuse is a prevalent social and health care problem. The processes by which individuals heal from childhood sexual abuse are not clearly understood. The purpose of this study was to develop a theoretical model to describe how adults heal from childhood sexual abuse. Community recruitment for an ongoing broader project on sexual…
Finite element modelling of elastic intraplate stresses due to ...
Indian Academy of Sciences (India)
Keywords. Elastic stresses; continental crust; intraplate seismicity; rheology; geodynamics; modelling; seismology. Abstract. Deep lower crustal intraplate earthquakes are infrequent and the mechanism of their occurrence is not well understood. The Narmada–Son-lineament region in central India has experienced two such ...
Foam Assisted WAG, Snorre Revisit with New Foam Screening Model
DEFF Research Database (Denmark)
Spirov, Pavel; Rudyk, Svetlana Nikolayevna; Khan, Arif
2012-01-01
This study deals with simulation model of Foam Assisted Water Alternating Gas (FAWAG) method that had been implemented to two Norwegian Reservoirs. Being studied on number of pilot projects, the method proved successful, but Field Scale simulation was never understood properly. New phenomenologic...
Single-particle spectral density of the Hubbard model
Mehlig, B.; Eskes, H.; Hayn, R.; Meinders, M.B.J.
1995-01-01
We calculate the single-particle spectral function for the Hubbard model within the framework of a projection technique equivalent to the two-pole approximation. We show that the two-pole approximation can be well understood as an average characterization of the upper and the lower Hubbard bands,
SINGLE-PARTICLE SPECTRAL DENSITY OF THE HUBBARD-MODEL
MEHLIG, B; ESKES, H; HAYN, R; MEINDERS, MBJ
1995-01-01
We calculate the single-particle spectral function for the Hubbard model within the framework of a projection technique equivalent to the two-pole approximation. We show that the two-pole approximation can be well understood as an average characterization of the upper and the lower Hubbard bands,
A Skyrme model approach to the spin-orbit force
Energy Technology Data Exchange (ETDEWEB)
Halcrow, C.J.; Manton, N.S. [Department of Applied Mathematics and Theoretical Physics,University of Cambridge, Wilberforce Road, Cambridge CB3 0WA (United Kingdom)
2015-01-07
The spin-orbit force is a vital tool in describing finite nuclei and nucleon interactions; however its microscopic origin is not fully understood. In this paper we study a model inspired by Skyrmions which provides a classical explanation of the force. To simplify the calculations the Skyrmions are approximated as two-dimensional rigid discs which behave like quantum cogwheels.
(Tropical) soil organic matter modelling: problems and prospects
Keulen, van H.
2001-01-01
Soil organic matter plays an important role in many physical, chemical and biological processes. However, the quantitative relations between the mineral and organic components of the soil and the relations with the vegetation are poorly understood. In such situations, the use of models is an
On grain growth kinetics in two-phase polycrystalline materials ...
Indian Academy of Sciences (India)
Monte Carlo Potts model simulation was carried out on a 2D square lattice for various surface fractions of second phase particles for over 50,000 iterations. The observations are in good agreement with known theoretical and experimental results with respect to both growth kinetics as well as grain size distribution. Further ...
Responsibility modelling for civil emergency planning
Sommerville, Ian; Storer, Timothy; Lock, Russell
2009-01-01
This paper presents a new approach to analysing and understanding civil emergency planning based on the notion of responsibility modelling combined with HAZOPS-style analysis of information requirements. Our goal is to represent complex contingency plans so that they can be more readily understood, so that inconsistencies can be highlighted and vulnerabilities discovered. In this paper, we outline the framework for contingency planning in the United Kingdom and introduce the notion of respons...
GPSS and Modeling of Computer Communication Networks.
1982-04-01
Project Manager _A SACDIN - Stragetic Air Command Digital Network * SIGMA - Name of force level maneuver control system -’ SINSCRIPT - Generic name of...SEIZE "facility" in GPSS. The SEIZE block is then a model statement that can be readily understood by managers as weil as program- mers. The majority of...1 Director, BRL Information Exchange Building 328 US Army Logistics Management Center 1 Director, BRL ATTN: DRXNC-D ATTN: DRDAR-TSB-S (STINFO Br) Fort
Computational modelling of meiotic entry and commitment
Bhola, Tanvi; Kapuy, Orsolya; Vinod, P. K.
2018-01-01
In response to developmental and environmental conditions, cells exit the mitotic cell cycle and enter the meiosis program to generate haploid gametes from diploid germ cells. Once cells decide to enter the meiosis program they become irreversibly committed to the completion of meiosis irrespective of the presence of cue signals. How meiotic entry and commitment occur due to the dynamics of the regulatory network is not well understood. Therefore, we constructed a mathematical model of the re...
Energy Technology Data Exchange (ETDEWEB)
Rohrer, Brandon Robinson; Rothganger, Fredrick H.; Verzi, Stephen J.; Xavier, Patrick Gordon
2010-09-01
The neocortex is perhaps the highest region of the human brain, where audio and visual perception takes place along with many important cognitive functions. An important research goal is to describe the mechanisms implemented by the neocortex. There is an apparent regularity in the structure of the neocortex [Brodmann 1909, Mountcastle 1957] which may help simplify this task. The work reported here addresses the problem of how to describe the putative repeated units ('cortical circuits') in a manner that is easily understood and manipulated, with the long-term goal of developing a mathematical and algorithmic description of their function. The approach is to reduce each algorithm to an enhanced perceptron-like structure and describe its computation using difference equations. We organize this algorithmic processing into larger structures based on physiological observations, and implement key modeling concepts in software which runs on parallel computing hardware.
BASIS: an internet resource for network modelling
Directory of Open Access Journals (Sweden)
Gillespie Colin S.
2006-12-01
Full Text Available There is a growing realisation that complex biological processes cannot be understood through the application of ever more reductionist experimental programs alone. Recognising this, we have a constructed a flexible web-service based modelling system called BASIS (Biology of Ageing e-Science Integration and Simulation, which facilitates model construction and development. In particular it allows users to store, share and simulate their models. The system is accessed through web-services using any language (e.g. Python or Java or under any operating system (e.g. Linux or Windows.
Neurocomputational Nosology: Malfunctions of Models and Mechanisms.
Barack, David L; Platt, Michael L
2016-01-01
Executive dysfunctions, psychopathologies arising from problems in the control and regulation of behavior, can occur as a result of the faulty execution of formal information processing models or as a result of malfunctioning neural mechanisms. The models correspond to the formal descriptions of how signals in the environment must be transformed in order to behave adaptively, and the mechanisms correspond to the signal transformations that nervous systems implement in order to execute those cognitive functions. Mechanisms in the form of repeated patterns of neural dynamics execute information processing models. Two distinct modes of malfunction can occur when neural dynamics execute models of information processing. The processing models describing behavior may fail to be executed correctly by neural mechanisms. Or, the neural mechanisms may malfunction, failing to implement the right computation. As an example of malfunctioning models in executive cognition, purported failures of rule following can be understood as failures to appropriately execute a suite of processing models. As an example of malfunctioning mechanisms of executive cognition, maladaptive behavior resulting from dysfunction in the medial prefrontal cortex (mPFC) can be understood as failures in the signal transformations carried out therein. The purpose of these examples is to illustrate the potential benefits of considering models and mechanisms in the diagnosis and etiology of neuropsychological illness and dysfunction, especially disorders of executive cognition.
Cortical free-association dynamics: Distinct phases of a latching network
Russo, Eleonora; Treves, Alessandro
2012-05-01
A Potts associative memory network has been proposed as a simplified model of macroscopic cortical dynamics, in which each Potts unit stands for a patch of cortex, which can be activated in one of S local attractor states. The internal neuronal dynamics of the patch is not described by the model, rather it is subsumed into an effective description in terms of graded Potts units, with adaptation effects both specific to each attractor state and generic to the patch. If each unit, or patch, receives effective (tensor) connections from C other units, the network has been shown to be able to store a large number p of global patterns, or network attractors, each with a fraction a of the units active, where the critical load pc scales roughly like pc≈CS2/aln(1/a) (if the patterns are randomly correlated). Interestingly, after retrieving an externally cued attractor, the network can continue jumping, or latching, from attractor to attractor, driven by adaptation effects. The occurrence and duration of latching dynamics is found through simulations to depend critically on the strength of local attractor states, expressed in the Potts model by a parameter w. Here we describe with simulations and then analytically the boundaries between distinct phases of no latching, of transient and sustained latching, deriving a phase diagram in the plane w-T, where T parametrizes thermal noise effects. Implications for real cortical dynamics are briefly reviewed in the conclusions.
Modelling Tethered Enzymatic Reactions
Solis Salas, Citlali; Goyette, Jesse; Coker-Gordon, Nicola; Bridge, Marcus; Isaacson, Samuel; Allard, Jun; Maini, Philip; Dushek, Omer
Enzymatic reactions are key to cell functioning, and whilst much work has been done in protein interaction in cases where diffusion is possible, interactions of tethered proteins are poorly understood. Yet, because of the large role cell membranes play in enzymatic reactions, several reactions may take place where one of the proteins is bound to a fixed point in space. We develop a model to characterize tethered signalling between the phosphatase SHP-1 interacting with a tethered, phosphorylated protein. We compare our model to experimental data obtained using surface plasmon resonance (SPR). We show that a single SPR experiment recovers 5 independent biophysical/biochemical constants. We also compare the results between a three dimensional model and a two dimensional model. The work gives the opportunity to use known techniques to learn more about signalling processes, and new insights into how enzyme tethering alters cellular signalling. With support from the Mexican Council for Science and Technology (CONACyT), the Public Education Secretariat (SEP), and the Mexican National Autonomous University's Foundation (Fundacion UNAM).
Modeling Myeloid Malignancies Using Zebrafish
Directory of Open Access Journals (Sweden)
Kathryn S. Potts
2017-12-01
Full Text Available Human myeloid malignancies represent a substantial disease burden to individuals, with significant morbidity and death. The genetic underpinnings of disease formation and progression remain incompletely understood. Large-scale human population studies have identified a high frequency of potential driver mutations in spliceosomal and epigenetic regulators that contribute to malignancies, such as myelodysplastic syndromes (MDS and leukemias. The high conservation of cell types and genes between humans and model organisms permits the investigation of the underlying mechanisms of leukemic development and potential therapeutic testing in genetically pliable pre-clinical systems. Due to the many technical advantages, such as large-scale screening, lineage-tracing studies, tumor transplantation, and high-throughput drug screening approaches, zebrafish is emerging as a model system for myeloid malignancies. In this review, we discuss recent advances in MDS and leukemia using the zebrafish model.
A novel preclinical murine model of immune-mediated metastatic dormancy
Romero, Irene; Garrido, Federico; Garcia-Lora, Angel M
2014-01-01
The mechanisms underlying cancer dormancy are poorly understood. We have developed a preclinical murine model in which immunosurveillance restrains spontaneous metastases in permanent dormancy. The model faithfully recapitulates human metastatic dormancy and may be useful to decipher the immune mechanisms constraining disease progression, thereby facilitating the development of novel immunotherapeutic approaches to control metastatic disease.
Borensztajn, G.; Zuidema, W.; Carlson, L.; Hoelscher, C.; Shipley, T.F.
2011-01-01
We present a model of the interaction of semantic and episodic memory in language processing. Our work shows how language processing can be understood in terms of memory retrieval. We point out that the perceived dichotomy between rule-based versus exemplar-based language modelling can be
DEFF Research Database (Denmark)
Plósz, Benedek; De Clercq, Jeriffa; Nopens, Ingmar
2011-01-01
on characterising particulate organics in wastewater and on bacteria growth is well-established, whereas 1-D SST models and their impact on biomass concentration predictions are still poorly understood. A rigorous assessment of two 1-DSST models is thus presented: one based on hyperbolic (the widely used Taka´ cs...... results demonstrates a considerably improved 1-D model realism using the convection-dispersion model in terms of SBH, XTSS,RAS and XTSS,Eff. Third, to assess the propagation of uncertainty derived from settler model structure to the biokinetic model, the impact of the SST model as sub-model in a plant...
A new model for managing change: the holistic view
Adcroft, Andrew; Hurst, J; Willis, R
2008-01-01
Purpose – In an age where organizational transformation is becoming more important to both the theory and practice of strategic management, the aim of this paper is to provide a model through which organizational transformation and strategic change can be understood in an holistic manner. Design/methodology/approach – In developing a model to explain organizational transformation, the paper draws on two different theoretical traditions. First, the paper draws on theories of political revoluti...
A Prediction Model of the Capillary Pressure J-Function.
Directory of Open Access Journals (Sweden)
W S Xu
Full Text Available The capillary pressure J-function is a dimensionless measure of the capillary pressure of a fluid in a porous medium. The function was derived based on a capillary bundle model. However, the dependence of the J-function on the saturation Sw is not well understood. A prediction model for it is presented based on capillary pressure model, and the J-function prediction model is a power function instead of an exponential or polynomial function. Relative permeability is calculated with the J-function prediction model, resulting in an easier calculation and results that are more representative.
Modeling Control Situations in Power System Operations
DEFF Research Database (Denmark)
Saleem, Arshad; Lind, Morten; Singh, Sri Niwas
2010-01-01
Increased interconnection and loading of the power system along with deregulation has brought new challenges for electric power system operation, control and automation. Traditional power system models used in intelligent operation and control are highly dependent on the task purpose. Thus, a model...... of explicit principles for model construction. This paper presents a work on using explicit means-ends model based reasoning about complex control situations which results in maintaining consistent perspectives and selecting appropriate control action for goal driven agents. An example of power system...... for intelligent operation and control must represent system features, so that information from measurements can be related to possible system states and to control actions. These general modeling requirements are well understood, but it is, in general, difficult to translate them into a model because of the lack...
Integrated modeling: a look back
Briggs, Clark
2015-09-01
This paper discusses applications and implementation approaches used for integrated modeling of structural systems with optics over the past 30 years. While much of the development work focused on control system design, significant contributions were made in system modeling and computer-aided design (CAD) environments. Early work appended handmade line-of-sight models to traditional finite element models, such as the optical spacecraft concept from the ACOSS program. The IDEAS2 computational environment built in support of Space Station collected a wider variety of existing tools around a parametric database. Later, IMOS supported interferometer and large telescope mission studies at JPL with MATLAB modeling of structural dynamics, thermal analysis, and geometric optics. IMOS's predecessor was a simple FORTRAN command line interpreter for LQG controller design with additional functions that built state-space finite element models. Specialized language systems such as CAESY were formulated and prototyped to provide more complex object-oriented functions suited to control-structure interaction. A more recent example of optical modeling directly in mechanical CAD is used to illustrate possible future directions. While the value of directly posing the optical metric in system dynamics terms is well understood today, the potential payoff is illustrated briefly via project-based examples. It is quite likely that integrated structure thermal optical performance (STOP) modeling could be accomplished in a commercial off-the-shelf (COTS) tool set. The work flow could be adopted, for example, by a team developing a small high-performance optical or radio frequency (RF) instrument.
Universality classes for models of inflation
Binetruy, P.; Mabillard, J.; Pieroni, M.; Rosset, C.
2015-01-01
We show that the cosmological evolution of a scalar field in a potential can be obtained from a renormalisation group equation. The slow roll regime of inflation models is understood in this context as the slow evolution close to a fixed point, described by the methods of renormalisation group. This explains in part the universality observed in the predictions of a certain number of inflation models. We illustrate this behavior on a certain number of examples and discuss it in the context of the AdS/CFT correspondence.
Model based estimation for multi-modal user interface component selection
CSIR Research Space (South Africa)
Coetzee, L
2009-12-01
Full Text Available for inter- action are well understood, the general problem of integrated multi-modal systems are yet to be understood to the same level. User modelling plays an important role within user- adaptive systems. Kobsa [5] presents a review on the devel... and providers of services and therefore user modelling tools will continue to play an important role in computer systems. Even though the utilisation of multiple modalities to break down the access barrier has been addressed by several re- searchers...
DEFF Research Database (Denmark)
Carlson, Kerstin
The International Criminal Tribunal for the former Yugoslavia (ICTY) was the first and most celebrated of a wave of international criminal tribunals (ICTs) built in the 1990s designed to advance liberalism through international criminal law. Model(ing) Justice examines the case law of the ICTY...
ten Cate, J.M.
2015-01-01
Developing experimental models to understand dental caries has been the theme in our research group. Our first, the pH-cycling model, was developed to investigate the chemical reactions in enamel or dentine, which lead to dental caries. It aimed to leverage our understanding of the fluoride mode of
OFFl Models: Novel Schema for Dynamical Modeling of Biological Systems.
Directory of Open Access Journals (Sweden)
C Brandon Ogbunugafor
Full Text Available Flow diagrams are a common tool used to help build and interpret models of dynamical systems, often in biological contexts such as consumer-resource models and similar compartmental models. Typically, their usage is intuitive and informal. Here, we present a formalized version of flow diagrams as a kind of weighted directed graph which follow a strict grammar, which translate into a system of ordinary differential equations (ODEs by a single unambiguous rule, and which have an equivalent representation as a relational database. (We abbreviate this schema of "ODEs and formalized flow diagrams" as OFFL. Drawing a diagram within this strict grammar encourages a mental discipline on the part of the modeler in which all dynamical processes of a system are thought of as interactions between dynamical species that draw parcels from one or more source species and deposit them into target species according to a set of transformation rules. From these rules, the net rate of change for each species can be derived. The modeling schema can therefore be understood as both an epistemic and practical heuristic for modeling, serving both as an organizational framework for the model building process and as a mechanism for deriving ODEs. All steps of the schema beyond the initial scientific (intuitive, creative abstraction of natural observations into model variables are algorithmic and easily carried out by a computer, thus enabling the future development of a dedicated software implementation. Such tools would empower the modeler to consider significantly more complex models than practical limitations might have otherwise proscribed, since the modeling framework itself manages that complexity on the modeler's behalf. In this report, we describe the chief motivations for OFFL, carefully outline its implementation, and utilize a range of classic examples from ecology and epidemiology to showcase its features.
Visual Perceptual Learning and Models.
Dosher, Barbara; Lu, Zhong-Lin
2017-09-15
Visual perceptual learning through practice or training can significantly improve performance on visual tasks. Originally seen as a manifestation of plasticity in the primary visual cortex, perceptual learning is more readily understood as improvements in the function of brain networks that integrate processes, including sensory representations, decision, attention, and reward, and balance plasticity with system stability. This review considers the primary phenomena of perceptual learning, theories of perceptual learning, and perceptual learning's effect on signal and noise in visual processing and decision. Models, especially computational models, play a key role in behavioral and physiological investigations of the mechanisms of perceptual learning and for understanding, predicting, and optimizing human perceptual processes, learning, and performance. Performance improvements resulting from reweighting or readout of sensory inputs to decision provide a strong theoretical framework for interpreting perceptual learning and transfer that may prove useful in optimizing learning in real-world applications.
The Nordic Corporate Governance Model
DEFF Research Database (Denmark)
Thomsen, Steen
2016-01-01
The Nordic countries – Denmark, Norway, Sweden, and Finland—have attracted attention in recent years. Some elements of the Nordic model—particularly the welfare state—are well understood, but its governance characteristics remain elusive to the international audience. This article reviews Nordic...... governance and discusses its relevance as a development paradigm. The article quantitatively documents the existence of a Nordic governance model using data from the World Bank, Transparency International and other sources. Secondly, it is shown how Nordic corporate governance – Nordic civil law......, concentrated ownership, semi two-tier board structures, employee representation and low-powered managerial incentives – has been shaped by the welfare state in ways consistent with systemic corporate governance theories. The article concludes with a skeptical discussion of the Nordic model as a development...
Energy Technology Data Exchange (ETDEWEB)
Colgate, S.A.; Li, H.
1997-09-01
The galactic model of gamma ray bursts (GRBs) is based upon the observed production of soft gamma ray repeaters (SGRs) in the galaxy and the consequences of a reasonable model to explain them. In this view GRBs are the long term result of the burn-out conditions of the SGRs in this and in other galaxies. A delay of {approximately} 30 million years before GRBs are being actively produced can be understood as the time required for the ejected matter during the SGR phase to cool, condense, and form planetesimals that are eventually captured by the central neutron star. The amount of disk matter and the interaction between each GRB and the disk determine the rate of burst production and turn-off time of GRBs. The x-ray afterglow as well as optical emission is derived from x-ray fluorescence and ionization of previously ablated matter.
Persuasion, Politeness and Relational Models
Directory of Open Access Journals (Sweden)
Jerzy Świątek
2017-06-01
Full Text Available Politeness Theory, just like Grice’s Cooperative Principle, points out that pragmatic analysis of language behaviour has to be grounded in extra-linguistic facts of social (or even biological nature. Additionally, despite the slightly misleading label, Politeness Theory provides a sound methodology to explain some persuasive as well as politeness phenomena. In the same vein, the so called Relational Model Theory provides another theoretical framework for the explanation of persuasive phenomena and persuasive language. Both Relational Model Theory and Politeness Theory show that persuasion is also to be understood as a rational response to not-so-rational social and biological needs. In the article an attempt is made to compare the two theories focusing on their explanatory power in reference to language choices aiming at enhancing the persuasive potential of a language message.
Stochastic species abundance models involving special copulas
Huillet, Thierry E.
2018-01-01
Copulas offer a very general tool to describe the dependence structure of random variables supported by the hypercube. Inspired by problems of species abundances in Biology, we study three distinct toy models where copulas play a key role. In a first one, a Marshall-Olkin copula arises in a species extinction model with catastrophe. In a second one, a quasi-copula problem arises in a flagged species abundance model. In a third model, we study completely random species abundance models in the hypercube as those, not of product type, with uniform margins and singular. These can be understood from a singular copula supported by an inflated simplex. An exchangeable singular Dirichlet copula is also introduced, together with its induced completely random species abundance vector.
A gentle introduction to Rasch measurement models for metrologists
International Nuclear Information System (INIS)
Mari, Luca; Wilson, Mark
2013-01-01
The talk introduces the basics of Rasch models by systematically interpreting them in the conceptual and lexical framework of the International Vocabulary of Metrology, third edition (VIM3). An admittedly simple example of physical measurement highlights the analogies between physical transducers and tests, as they can be understood as measuring instruments of Rasch models and psychometrics in general. From the talk natural scientists and engineers might learn something of Rasch models, as a specifically relevant case of social measurement, and social scientists might re-interpret something of their knowledge of measurement in the light of the current physical measurement models
Thienen-Visser, K. van; Fokker, P.A.
2017-01-01
The Groningen gas field has shown considerable compaction and subsidence since starting production in the early 1960s. The behaviour is understood from the geomechanical response of the reservoir pressure depletion. By integrating surface movement measurements and modelling, the model parameters can
Leonelli, Sabina; Ankeny, Rachel A.; Nelson, Nicole C.; Ramsden, Edmund
2014-01-01
Argument We examine the criteria used to validate the use of nonhuman organisms in North-American alcohol addiction research from the 1950s to the present day. We argue that this field, where the similarities between behaviors in humans and non-humans are particularly difficult to assess, has addressed questions of model validity by transforming the situatedness of non-human organisms into an experimental tool. We demonstrate that model validity does not hinge on the standardization of one type of organism in isolation, as often the case with genetic model organisms. Rather, organisms are viewed as necessarily situated: they cannot be understood as a model for human behavior in isolation from their environmental conditions. Hence the environment itself is standardized as part of the modeling process; and model validity is assessed with reference to the environmental conditions under which organisms are studied. PMID:25233743
Ankeny, Rachel A; Leonelli, Sabina; Nelson, Nicole C; Ramsden, Edmund
2014-09-01
We examine the criteria used to validate the use of nonhuman organisms in North-American alcohol addiction research from the 1950s to the present day. We argue that this field, where the similarities between behaviors in humans and non-humans are particularly difficult to assess, has addressed questions of model validity by transforming the situatedness of non-human organisms into an experimental tool. We demonstrate that model validity does not hinge on the standardization of one type of organism in isolation, as often the case with genetic model organisms. Rather, organisms are viewed as necessarily situated: they cannot be understood as a model for human behavior in isolation from their environmental conditions. Hence the environment itself is standardized as part of the modeling process; and model validity is assessed with reference to the environmental conditions under which organisms are studied.
Maximum Entropy Estimation of Transition Probabilities of Reversible Markov Chains
Directory of Open Access Journals (Sweden)
Erik Van der Straeten
2009-11-01
Full Text Available In this paper, we develop a general theory for the estimation of the transition probabilities of reversible Markov chains using the maximum entropy principle. A broad range of physical models can be studied within this approach. We use one-dimensional classical spin systems to illustrate the theoretical ideas. The examples studied in this paper are: the Ising model, the Potts model and the Blume-Emery-Griffiths model.
Zandbelt, Bram
2017-01-01
Introductory presentation on cognitive modeling for the course ‘Cognitive control’ of the MSc program Cognitive Neuroscience at Radboud University. It addresses basic questions, such as 'What is a model?', 'Why use models?', and 'How to use models?'
Tailored model abstraction in performance assessments
International Nuclear Information System (INIS)
Kessler, J.H.
1995-01-01
Total System Performance Assessments (TSPAs) are likely to be one of the most significant parts of making safety cases for the continued development and licensing of geologic repositories for the disposal of spent fuel and HLW. Thus, it is critical that the TSPA model capture the 'essence' of the physical processes relevant to demonstrating the appropriate regulation is met. But how much detail about the physical processes must be modeled and understood before there is enough confidence that the appropriate essence has been captured? In this summary the level of model abstraction that is required is discussed. Approaches for subsystem and total system performance analyses are outlined, and the role of best estimate models is examined. It is concluded that a conservative approach for repository performance, based on limited amount of field and laboratory data, can provide sufficient confidence for a regulatory decision
Underwater noise modelling for environmental impact assessment
Energy Technology Data Exchange (ETDEWEB)
Farcas, Adrian [Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT (United Kingdom); Thompson, Paul M. [Lighthouse Field Station, Institute of Biological and Environmental Sciences, University of Aberdeen, Cromarty IV11 8YL (United Kingdom); Merchant, Nathan D., E-mail: nathan.merchant@cefas.co.uk [Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT (United Kingdom)
2016-02-15
Assessment of underwater noise is increasingly required by regulators of development projects in marine and freshwater habitats, and noise pollution can be a constraining factor in the consenting process. Noise levels arising from the proposed activity are modelled and the potential impact on species of interest within the affected area is then evaluated. Although there is considerable uncertainty in the relationship between noise levels and impacts on aquatic species, the science underlying noise modelling is well understood. Nevertheless, many environmental impact assessments (EIAs) do not reflect best practice, and stakeholders and decision makers in the EIA process are often unfamiliar with the concepts and terminology that are integral to interpreting noise exposure predictions. In this paper, we review the process of underwater noise modelling and explore the factors affecting predictions of noise exposure. Finally, we illustrate the consequences of errors and uncertainties in noise modelling, and discuss future research needs to reduce uncertainty in noise assessments.
Anaïs Schaeffer
2012-01-01
By analysing the production of mesons in the forward region of LHC proton-proton collisions, the LHCf collaboration has provided key information needed to calibrate extremely high-energy cosmic ray models. Average transverse momentum (pT) as a function of rapidity loss ∆y. Black dots represent LHCf data and the red diamonds represent SPS experiment UA7 results. The predictions of hadronic interaction models are shown by open boxes (sibyll 2.1), open circles (qgsjet II-03) and open triangles (epos 1.99). Among these models, epos 1.99 shows the best overall agreement with the LHCf data. LHCf is dedicated to the measurement of neutral particles emitted at extremely small angles in the very forward region of LHC collisions. Two imaging calorimeters – Arm1 and Arm2 – take data 140 m either side of the ATLAS interaction point. “The physics goal of this type of analysis is to provide data for calibrating the hadron interaction models – the well-known &...
Petrov, Petar I.; Mandija, Stefano; Sommer, Iris E. C.; van den Berg, Cornelis A. T.; Neggers, Sebastiaan F. W.
2017-01-01
Background: Despite TMS wide adoption, its spatial and temporal patterns of neuronal effects are not well understood. Although progress has been made in predicting induced currents in the brain using realistic finite element models (FEM), there is little consensus on how a magnetic field of a typical TMS coil should be modeled. Empirical validation of such models is limited and subject to several limitations. Methods: We evaluate and empirically validate models of a figure-of-eight TMS coil t...
Mathematical model for bone mineralization
Directory of Open Access Journals (Sweden)
Svetlana V Komarova
2015-08-01
Full Text Available Defective bone mineralization has serious clinical manifestations, including deformities and fractures, but the regulation of this extracellular process is not fully understood. We have developed a mathematical model consisting of ordinary differential equations that describe collagen maturation, production and degradation of inhibitors, and mineral nucleation and growth. We examined the roles of individual processes in generating normal and abnormal mineralization patterns characterized using two outcome measures: mineralization lag time and degree of mineralization. Model parameters describing the formation of hydroxyapatite mineral on the nucleating centers most potently affected the degree of mineralization, while the parameters describing inhibitor homeostasis most effectively changed the mineralization lag time. Of interest, a parameter describing the rate of matrix maturation emerged as being capable of counter-intuitively increasing both the mineralization lag time and the degree of mineralization. We validated the accuracy of model predictions using known diseases of bone mineralization such as osteogenesis imperfecta and X-linked hypophosphatemia. The model successfully describes the highly non-linear mineralization dynamics, which includes an initial lag phase when osteoid is present but no mineralization is evident, then fast primary mineralization, followed by secondary mineralization characterized by a continuous slow increase in bone mineral content. The developed model can potentially predict the function for a mutated protein based on the histology of pathologic bone samples from mineralization disorders of unknown etiology.
Directory of Open Access Journals (Sweden)
Henry de-Graft Acquah
2013-01-01
Full Text Available Information Criteria provides an attractive basis for selecting the best model from a set of competing asymmetric price transmission models or theories. However, little is understood about the sensitivity of the model selection methods to model complexity. This study therefore fits competing asymmetric price transmission models that differ in complexity to simulated data and evaluates the ability of the model selection methods to recover the true model. The results of Monte Carlo experimentation suggest that in general BIC, CAIC and DIC were superior to AIC when the true data generating process was the standard error correction model, whereas AIC was more successful when the true model was the complex error correction model. It is also shown that the model selection methods performed better in large samples for a complex asymmetric data generating process than with a standard asymmetric data generating process. Except for complex models, AIC's performance did not make substantial gains in recovery rates as sample size increased. The research findings demonstrate the influence of model complexity in asymmetric price transmission model comparison and selection.
DEFF Research Database (Denmark)
Cameron, Ian; Gani, Rafiqul
2011-01-01
This chapter deals with the practicalities of building, testing, deploying and maintaining models. It gives specific advice for each phase of the modelling cycle. To do this, a modelling framework is introduced which covers: problem and model definition; model conceptualization; model data...... requirements; model construction; model solution; model verification; model validation and finally model deployment and maintenance. Within the adopted methodology, each step is discussedthrough the consideration of key issues and questions relevant to the modelling activity. Practical advice, based on many...... years of experience is providing in directing the reader in their activities.Traps and pitfalls are discussed and strategies also given to improve model development towards “fit-for-purpose” models. The emphasis in this chapter is the adoption and exercise of a modelling methodology that has proven very...
Modeling Lolium perenne L. roots in the presence of empirical black holes
Plant root models are designed for understanding structural or functional aspects of root systems. When a process is not thoroughly understood, a black box object is used. However, when a process exists but empirical data do not indicate its existence, you have a black hole. The object of this re...
High Throughput Exposure Modeling of Semi-Volatile Chemicals in Articles of Commerce (ACS)
Risk due to chemical exposure is a function of both chemical hazard and exposure. Near-field exposures to chemicals in consumer products are identified as the main drivers of exposure and yet are not well quantified or understood. The ExpoCast project is developing a model that e...
Moustafa, Ahmed A.; Gilbertson, Mark W.; Orr, Scott P.; Herzallah, Mohammad M.; Servatius, Richard J.; Myers, Catherine E.
2013-01-01
Empirical research has shown that the amygdala, hippocampus, and ventromedial prefrontal cortex (vmPFC) are involved in fear conditioning. However, the functional contribution of each brain area and the nature of their interactions are not clearly understood. Here, we extend existing neural network models of the functional roles of the hippocampus…
Pervasive drought legacies in forest ecosystems and their implications for carbon cycle models
W. R. L. Anderegg; C. Schwalm; F. Biondi; J. J. Camarero; G. Koch; M. Litvak; K. Ogle; J. D. Shaw; E. Shevliakova; A. P. Williams; A. Wolf; E. Ziaco; S. Pacala
2015-01-01
The impacts of climate extremes on terrestrial ecosystems are poorly understood but important for predicting carbon cycle feedbacks to climate change. Coupled climate-carbon cycle models typically assume that vegetation recovery from extreme drought is immediate and complete, which conflicts with the understanding of basic plant physiology. We examined the recovery of...
Novel lean type 2 diabetic rat model using gestational low-protein programming
Type 2 diabetes (T2D) in lean individuals is not well studied and up to 26% of diabetes occurs in these individuals. Although the cause is not well understood, it has been primarily attributed to nutritional issues during early development. Our objective was to develop a lean T2D model using gestati...
Hodge, Steven; Atkins, Liz; Simons, Michele
2016-01-01
Debate about the benefits and problems with competency-based training (CBT) has not paid sufficient attention to the fact that the model satisfies a unique, contemporary demand for cross-occupational curriculum. The adoption of CBT in the UK and Australia, along with at least some of its problems, can be understood in terms of this demand. We…
A multidimensional 'path analysis' model of factors explaining fatigue in rheumatoid arthritis
Dartel, S.A.A. van; Repping-Wuts, H.; Donders, R.; Hoogmoed, D. van; Knoop, H.; Bleijenberg, G.; Riel, P.L.C.M. van; Fransen, J.
2016-01-01
OBJECTIVES: Fatigue is one of the most commonly reported symptoms in rheumatoid arthritis (RA). Many factors may play a causal role on fatigue in RA patients, but their contribution and interplay is barely understood. The objective was to develop a multidimensional model of factors that explain
A multidimensional 'path analysis' model of factors explaining fatigue in rheumatoid arthritis
Rongen-van Dartel, Sanne A. A.; Repping-Wuts, Han; Donders, Rogier; van Hoogmoed, Dewy; Knoop, Hans; Bleijenberg, Gijs; van Riel, Piet L. C. M.; Fransen, Jaap
2016-01-01
Fatigue is one of the most commonly reported symptoms in rheumatoid arthritis (RA). Many factors may play a causal role on fatigue in RA patients, but their contribution and interplay is barely understood. The objective was to develop a multidimensional model of factors that explain fatigue severity
Khalil, K.; Rabouille, C.; Gallinari, M.; Soetaert, K.E.R.; DeMaster, D.J.; Ragueneau, O.
2007-01-01
The processes controlling preservation and recycling of particulate biogenic silica in sediments must be understood in order to calculate oceanic silica mass balances. The new contribution of this work is the coupled use of advanced models including reprecipitation and different phases of biogenic
Models of life: epigenetics, diversity and cycles
Sneppen, Kim
2017-04-01
This review emphasizes aspects of biology that can be understood through repeated applications of simple causal rules. The selected topics include perspectives on gene regulation, phage lambda development, epigenetics, microbial ecology, as well as model approaches to diversity and to punctuated equilibrium in evolution. Two outstanding features are repeatedly described. One is the minimal number of rules to sustain specific states of complex systems for a long time. The other is the collapse of such states and the subsequent dynamical cycle of situations that restitute the system to a potentially new metastable state.
Pneumatic Artificial Muscle Actuation and Modeling
Leephakpreeda, Thananchai; Wickramatunge, Kanchana C.
2009-10-01
A Pneumatic Artificial Muscle (PAM) yields a natural muscle-like actuator with a high force to weight ratio, a soft and flexible structure, and adaptable compliance for a humanoid robot, rehabilitation and prosthetic appliances to the disabled, etc. To obtain optimum design and usage, the mechanical behavior of the PAM need to be understood. In this study, observations of experimental results reveal an empirical model for relations of physical variables, contraction and air pressure within the PAM, as compared to mechanical characteristics, such as stiffness or/and pulling forces of the PAM available now in market.
Assessing Implicit Knowledge in BIM Models with Machine Learning
DEFF Research Database (Denmark)
Krijnen, Thomas; Tamke, Martin
2015-01-01
architects and engineers are able to deduce non-explicitly explicitly stated information, which is often the core of the transported architectural information. This paper investigates how machine learning approaches allow a computational system to deduce implicit knowledge from a set of BIM models.......The promise, which comes along with Building Information Models, is that they are information rich, machine readable and represent the insights of multiple building disciplines within single or linked models. However, this knowledge has to be stated explicitly in order to be understood. Trained...
The Necker-Zeno model for bistable perception.
Atmanspacher, Harald; Filk, Thomas
2013-10-01
A novel conceptual framework for theoretical psychology is presented and illustrated for the example of bistable perception. A basic formal feature of this framework is the non-commutativity of operations acting on mental states. A corresponding model for the bistable perception of ambiguous stimuli, the Necker-Zeno model, is sketched and some empirical evidence for it so far is described. It is discussed how a temporal non-locality of mental states, predicted by the model, can be understood and tested. © 2013 Cognitive Science Society, Inc.
Pig models for the human heart failure syndrome
DEFF Research Database (Denmark)
Hunter, Ingrid; Terzic, Dijana; Zois, Nora Elisabeth
2014-01-01
failure diagnosis. In perspective, pig models are in need of some verification in terms of the clinical definition of the experimental condition. After all, humans are not pigs, pigs are not humans, and the difference between the species needs to be better understood before pig models can fully be used......Human heart failure remains a challenging illness despite advances in the diagnosis and treatment of heart failure patients. There is a need for further improvement of our understanding of the failing myocardium and its molecular deterioration. Porcine models provide an important research tool...
Asymptotic behavior of observables in the asymmetric quantum Rabi model
Semple, J.; Kollar, M.
2018-01-01
The asymmetric quantum Rabi model with broken parity invariance shows spectral degeneracies in the integer case, that is when the asymmetry parameter equals an integer multiple of half the oscillator frequency, thus hinting at a hidden symmetry and accompanying integrability of the model. We study the expectation values of spin observables for each eigenstate and observe characteristic differences between the integer and noninteger cases for the asymptotics in the deep strong coupling regime, which can be understood from a perturbative expansion in the qubit splitting. We also construct a parent Hamiltonian whose exact eigenstates possess the same symmetries as the perturbative eigenstates of the asymmetric quantum Rabi model in the integer case.
Nonomura, Yoshihiko; Tomita, Yusuke
Recently we showed that the critical nonequilibrium relaxation in cluster algorithms is widely described by the stretched-exponential decay of physical quantities in the Ising or Heisenberg models. Here we make a similar analysis in the Berezinsky-Kosterlitz-Thouless (BKT) phase transition in the 2D XY model (simple exponential decay) and in the weak first-order phase transition in the 2D q = 5 Potts model (power-law decay), which means that these phase transitions can clearly be characterized by the present analysis. These relaxation behaviors are compared with those in the 3D and 4D XY models (second-order phase transition) and in the 2D q-state Potts models (2 = 6 for strong first-order phase transitions.
Olds, D D
2000-01-01
A theory of signs is presented to arrive at a model of mind that provides a smooth transition from inanimate matter to the thinking brain. Principles of information theory and semiotics are invoked to create a conceptual scheme that can contribute to an understanding of the "mind-body problem." The thesis is pursued that in living systems, as opposed to inorganic ones, there occurs the phenomenon of semiotic transmission of information. The result is a "dualistic-materialist" position; the dualism arises from the fact that at the beginning of life a set of processes comes into being different from those of the inorganic world. This model has implications for psychology and psychoanalysis. It allows for semiotic systems at different levels--e.g., the molecular, the neural network, the language system, and higher mental functions--to be integrated. Analytic concepts such as free association, clinical technique, feedback systems, personality structure, transference, and repetition compulsions can be understood in both biological and semiotic terms. This model interdigitates with linguistic studies already done in psychoanalysis, as well as with biological models extrinsic to the field.
Statistical Mechanics of the Community Detection Problem: Theory and Application
Hu, Dandan
We study phase transitions in spin glass type systems and in related computational problems. In the current work, we focus on the "community detection" problem when cast in terms of a general Potts spin glass type problem. We report on phase transitions between solvable and unsolvable regimes. Solvable region may further split into easy and hard phases. Spin glass type phase transitions appear at both low and high temperatures. Low temperature transitions correspond to an order by disorder type effect wherein fluctuations render the system ordered or solvable. Separate transitions appear at higher temperatures into a disordered (or an unsolvable) phases. Different sorts of randomness lead to disparate behaviors. We illustrate the spin glass character of both transitions and report on memory effects. We further relate Potts type spin systems to mechanical analogs and suggest how chaotic-type behavior in general thermodynamic systems can indeed naturally arise in hard-computational problems and spin-glasses. In this work, we also examine large networks (with a power law distribution in cluster size) that have a large number of communities. We infer that large systems at a constant ratio of q to the number of nodes N asymptotically tend toward insolvability in the limit of large N for any positive temperature. We further employ multivariate Tutte polynomials to show that increasing q emulates increasing T for a general Potts model, leading to a similar stability region at low T. We further apply the replica inference based Potts model method to unsupervised image segmentation on multiple scales. This approach was inspired by the statistical mechanics problem of "community detection" and its phase diagram. The problem is cast as identifying tightly bound clusters against a background. Within our multiresolution approach, we compute information theory based correlations among multiple solutions of the same graph over a range of resolutions. Significant multiresolution
Modeling and Deorphanization of Orphan GPCRs.
Diaz, Constantino; Angelloz-Nicoud, Patricia; Pihan, Emilie
2018-01-01
Despite tremendous efforts, approximately 120 GPCRs remain orphan. Their physiological functions and their potential roles in diseases are poorly understood. Orphan GPCRs are extremely important because they may provide novel therapeutic targets for unmet medical needs. As a complement to experimental approaches, molecular modeling and virtual screening are efficient techniques to discover synthetic surrogate ligands which can help to elucidate the role of oGPCRs. Constitutively activated mutants and recently published active structures of GPCRs provide stimulating opportunities for building active molecular models for oGPCRs and identifying activators using virtual screening of compound libraries. We describe the molecular modeling and virtual screening process we have applied in the discovery of surrogate ligands, and provide examples for CCKA, a simulated oGPCR, and for two oGPCRs, GPR52 and GPR34.
A Minimal Neurolinguistic Model and Its Lessons
Gordon, Barry
1985-01-01
Impairments in object naming have contributed to a view held in Neurology that many higher brain functions can be understood as the result of sequential stages of processing connected by limited-channel pathways. However, this standard model cannot readily account for some specific types of impairments, nor for important variables such as speed. We reinterpreted the classic functional/neuroanatomic stages as examples of distributed, parallel processing in neural networks with massively parallel interconnections. Simulated “lesions” between the stages of this model could reproduce the impairments of real patients with such (presumed) lesions. Such models have to be strongly considered in understanding higher cerebral function and its disorders; empirical testing and future directions will be discussed.
Human casualties in earthquakes: Modelling and mitigation
Spence, R.J.S.; So, E.K.M.
2011-01-01
Earthquake risk modelling is needed for the planning of post-event emergency operations, for the development of insurance schemes, for the planning of mitigation measures in the existing building stock, and for the development of appropriate building regulations; in all of these applications estimates of casualty numbers are essential. But there are many questions about casualty estimation which are still poorly understood. These questions relate to the causes and nature of the injuries and deaths, and the extent to which they can be quantified. This paper looks at the evidence on these questions from recent studies. It then reviews casualty estimation models available, and finally compares the performance of some casualty models in making rapid post-event casualty estimates in recent earthquakes.
Aerosol numerical modelling at local scale
International Nuclear Information System (INIS)
Albriet, Bastien
2007-01-01
At local scale and in urban areas, an important part of particulate pollution is due to traffic. It contributes largely to the high number concentrations observed. Two aerosol sources are mainly linked to traffic. Primary emission of soot particles and secondary nanoparticle formation by nucleation. The emissions and mechanisms leading to the formation of such bimodal distribution are still badly understood nowadays. In this thesis, we try to provide an answer to this problematic by numerical modelling. The Modal Aerosol Model MAM is used, coupled with two 3D-codes: a CFD (Mercure Saturne) and a CTM (Polair3D). A sensitivity analysis is performed, at the border of a road but also in the first meters of an exhaust plume, to identify the role of each process involved and the sensitivity of different parameters used in the modelling. (author) [fr
Genetic models of homosexuality: generating testable predictions
Gavrilets, Sergey; Rice, William R
2006-01-01
Homosexuality is a common occurrence in humans and other species, yet its genetic and evolutionary basis is poorly understood. Here, we formulate and study a series of simple mathematical models for the purpose of predicting empirical patterns that can be used to determine the form of selection that leads to polymorphism of genes influencing homosexuality. Specifically, we develop theory to make contrasting predictions about the genetic characteristics of genes influencing homosexuality including: (i) chromosomal location, (ii) dominance among segregating alleles and (iii) effect sizes that distinguish between the two major models for their polymorphism: the overdominance and sexual antagonism models. We conclude that the measurement of the genetic characteristics of quantitative trait loci (QTLs) found in genomic screens for genes influencing homosexuality can be highly informative in resolving the form of natural selection maintaining their polymorphism. PMID:17015344
Yunyun Feng; Dengsheng Lu; Qi Chen; Michael Keller; Emilio Moran; Maiza Nara dos-Santos; Edson Luis Bolfe; Mateus Batistella
2017-01-01
Previous research has explored the potential to integrate lidar and optical data in aboveground biomass (AGB) estimation, but how different data sources, vegetation types, and modeling algorithms influence AGB estimation is poorly understood. This research conducts a comparative analysis of different data sources and modeling approaches in improving AGB estimation....
Bergamaschi, P.; Houweling, S.; Segers, A.; Krol, M.C.; Frankenberg, C.; Scheepmaker, R.A.; Dlugokencky, E.; Wofsy, S.C.; Kort, E.A.; Sweeney, C.; Schuck, T.; Brenninkmeijer, C.; Chen, H.; Beck, V.; Gerbig, C.
2013-01-01
The causes of renewed growth in the atmospheric CH4 burden since 2007 are still poorly understood and subject of intensive scientific discussion. We present a reanalysis of global CH4 emissions during the 2000s, based on the TM5-4DVAR inverse modeling system. The model is optimized using
Directory of Open Access Journals (Sweden)
Anne C Skeldon
Full Text Available Sleep is essential for the maintenance of the brain and the body, yet many features of sleep are poorly understood and mathematical models are an important tool for probing proposed biological mechanisms. The most well-known mathematical model of sleep regulation, the two-process model, models the sleep-wake cycle by two oscillators: a circadian oscillator and a homeostatic oscillator. An alternative, more recent, model considers the mutual inhibition of sleep promoting neurons and the ascending arousal system regulated by homeostatic and circadian processes. Here we show there are fundamental similarities between these two models. The implications are illustrated with two important sleep-wake phenomena. Firstly, we show that in the two-process model, transitions between different numbers of daily sleep episodes can be classified as grazing bifurcations. This provides the theoretical underpinning for numerical results showing that the sleep patterns of many mammals can be explained by the mutual inhibition model. Secondly, we show that when sleep deprivation disrupts the sleep-wake cycle, ostensibly different measures of sleepiness in the two models are closely related. The demonstration of the mathematical similarities of the two models is valuable because not only does it allow some features of the two-process model to be interpreted physiologically but it also means that knowledge gained from study of the two-process model can be used to inform understanding of the behaviour of the mutual inhibition model. This is important because the mutual inhibition model and its extensions are increasingly being used as a tool to understand a diverse range of sleep-wake phenomena such as the design of optimal shift-patterns, yet the values it uses for parameters associated with the circadian and homeostatic processes are very different from those that have been experimentally measured in the context of the two-process model.
Queueing models for token and slotted ring networks. Thesis
Peden, Jeffery H.
1990-01-01
Currently the end-to-end delay characteristics of very high speed local area networks are not well understood. The transmission speed of computer networks is increasing, and local area networks especially are finding increasing use in real time systems. Ring networks operation is generally well understood for both token rings and slotted rings. There is, however, a severe lack of queueing models for high layer operation. There are several factors which contribute to the processing delay of a packet, as opposed to the transmission delay, e.g., packet priority, its length, the user load, the processor load, the use of priority preemption, the use of preemption at packet reception, the number of processors, the number of protocol processing layers, the speed of each processor, and queue length limitations. Currently existing medium access queueing models are extended by adding modeling techniques which will handle exhaustive limited service both with and without priority traffic, and modeling capabilities are extended into the upper layers of the OSI model. Some of the model are parameterized solution methods, since it is shown that certain models do not exist as parameterized solutions, but rather as solution methods.
Computational Modeling of Large Wildfires: A Roadmap
Coen, Janice L.
2010-08-01
Wildland fire behavior, particularly that of large, uncontrolled wildfires, has not been well understood or predicted. Our methodology to simulate this phenomenon uses high-resolution dynamic models made of numerical weather prediction (NWP) models coupled to fire behavior models to simulate fire behavior. NWP models are capable of modeling very high resolution (< 100 m) atmospheric flows. The wildland fire component is based upon semi-empirical formulas for fireline rate of spread, post-frontal heat release, and a canopy fire. The fire behavior is coupled to the atmospheric model such that low level winds drive the spread of the surface fire, which in turn releases sensible heat, latent heat, and smoke fluxes into the lower atmosphere, feeding back to affect the winds directing the fire. These coupled dynamic models capture the rapid spread downwind, flank runs up canyons, bifurcations of the fire into two heads, and rough agreement in area, shape, and direction of spread at periods for which fire location data is available. Yet, intriguing computational science questions arise in applying such models in a predictive manner, including physical processes that span a vast range of scales, processes such as spotting that cannot be modeled deterministically, estimating the consequences of uncertainty, the efforts to steer simulations with field data ("data assimilation"), lingering issues with short term forecasting of weather that may show skill only on the order of a few hours, and the difficulty of gathering pertinent data for verification and initialization in a dangerous environment. © 2010 IEEE.
A low cost model to facilitate students’ understanding of electron transfer chain in toxicology lab
Directory of Open Access Journals (Sweden)
J Pourahmad
2009-02-01
Full Text Available Mitochondrial respiration is a complex process which its biochemistry is often poorly understood by undergraduate students when explained in toxicology lectures. The use of experiments to reinforce their knowledge is important, but not always possible because of low teaching budgets. Therefore, a low cost model, made using water, oil, styrofoam and modeling clay, is presented here to simulate the transduction membrane, and the complexes embedded in it. Using this model, students can represent and understand electron flow and proton translocation, the chemiosmotic hypothesis and the effects of inhibitors and uncouplers. Students that have used this model enjoyed studying mitochondrial respiration and learned and understood the biochemistry of transduction membranes as well as lipid and protein interactions, and were well motivated to study the phenomenon in depth by themselves.
Order, disorder, and criticality advanced problems of phase transition theory
Holovatch, Yurij
2004-01-01
This book reviews some of the classic aspects in the theory of phasetransitions and critical phenomena, which has a longhistory. Recently, these aspects are attracting much attention due toessential new contributions. The topics presented in this bookinclude: mathematical theory of the Ising model; equilibrium andnon-equilibrium criticality of one-dimensional quantum spin chains;influence of structural disorder on the critical behaviour of thePotts model; criticality, fractality and multifractality of linkedpolymers; field-theoretical approaches in the superconducting phasetransitions.
Directory of Open Access Journals (Sweden)
Tea Ya. Danelyan
2014-01-01
Full Text Available The article states the general principles of structural modeling in aspect of the theory of systems and gives the interrelation with other types of modeling to adjust them to the main directions of modeling. Mathematical methods of structural modeling, in particular method of expert evaluations are considered.
African Journals Online (AJOL)
Moatez Billah HARIDA
The use of the simulator “Hybrid Electrical Vehicle Model Balances Fidelity and. Speed (HEVMBFS)” and the global control strategy make it possible to achieve encouraging results. Key words: Series parallel hybrid vehicle - nonlinear model - linear model - Diesel engine - Engine modelling -. HEV simulator - Predictive ...
Assessment of the role of sutures in a lizard skull: a computer modelling study
Moazen, Mehran; Curtis, Neil; O'Higgins, Paul; Jones, Marc E.H; Evans, Susan E; Fagan, Michael J
2008-01-01
Sutures form an integral part of the functioning skull, but their role has long been debated among vertebrate morphologists and palaeontologists. Furthermore, the relationship between typical skull sutures, and those involved in cranial kinesis, is poorly understood. In a series of computational modelling studies, complex loading conditions obtained through multibody dynamics analysis were imposed on a finite element model of the skull of Uromastyx hardwickii, an akinetic herbivorous lizard. ...
NEUROMUSCULAR ELECTRICAL STIMULATION OF THE HINDLIMB MUSCLES FOR MOVEMENT THERAPY IN A RODENT MODEL
Ichihara, Kazuhiko; Venkatasubramanian, Ganapriya; Abbas, James J.; Jung, Ranu
2008-01-01
Neuromuscular electrical stimulation (NMES) can provide functional movements in people after central nervous system injury. The neuroplastic effects of long-term NMES induced repetitive limb movement are not well understood. A rodent model of neurotrauma in which NMES can be implemented may be effective for such investigations. We present a rodent model for NMES of the flexor and extensor muscles of the hip, knee, and ankle hindlimb muscles. Custom fabricated intramuscular stimulating electro...
Scale effect challenges in urban hydrology highlighted with a distributed hydrological model
Ichiba, Abdellah; Gires, Auguste; Tchiguirinskaia, Ioulia; Schertzer, Daniel; Bompard, Philippe; ten Veldhuis, J.A.E.
2018-01-01
Hydrological models are extensively used in urban water management, development and evaluation of future scenarios and research activities. There is a growing interest in the development of fully distributed and grid-based models. However, some complex questions related to scale effects are not yet fully understood and still remain open issues in urban hydrology. In this paper we propose a two-step investigation framework to illustrate the extent of scale effects in urban ...
An experimental model for studying claw lesions in growing female pigs
Olsson, Anne-Charlotte; Svendsen, Jörgen; Botermans, Jos; Bergsten, Christer
2016-01-01
Problems with claw lesions leading to lameness are a growing concern in pig production. However, the causes and development of claw lesions are poorly understood and studies on prevention of claw lesion problems in gifts and sows are limited.This study tested a new experimental model which facilitates evaluation of the impact of different risk factors on pig feet lesions.The model consisted of using young gilts with a well-known background and promoting traumatic claw lesions for study purpos...
The Theory of Finance: A novel finance model being formed on the Internet
Magomet Yandiev
2015-01-01
The present paper argues that the present Internet conditions favour an entirely new finance model. Understood to soon supplement the existing ones (classical finance, corporate finance, and Islamic finance), it is argued that the new model will be defined by the destructive effect it is to have on the contemporary financial infrastructure of most countries, and the advent of the ‘future money value exceeds its present one’ principle.
DEFF Research Database (Denmark)
Sales-Cruz, Mauricio; Piccolo, Chiara; Heitzig, Martina
2011-01-01
This chapter presents various types of constitutive models and their applications. There are 3 aspects dealt with in this chapter, namely: creation and solution of property models, the application of parameter estimation and finally application examples of constitutive models. A systematic...... procedure is introduced for the analysis and solution of property models. Models that capture and represent the temperature dependent behaviour of physical properties are introduced, as well as equation of state models (EOS) such as the SRK EOS. Modelling of liquid phase activity coefficients are also...
Chang, CC
2012-01-01
Model theory deals with a branch of mathematical logic showing connections between a formal language and its interpretations or models. This is the first and most successful textbook in logical model theory. Extensively updated and corrected in 1990 to accommodate developments in model theoretic methods - including classification theory and nonstandard analysis - the third edition added entirely new sections, exercises, and references. Each chapter introduces an individual method and discusses specific applications. Basic methods of constructing models include constants, elementary chains, Sko
Modeling picking on pharmaceutical tablets
Swaminathan, Shrikant
Tablets are the most popular solid dosage form in the pharmaceutical industry because they are cheap to manufacture, chemically and mechanically stable and easy to transport and fairly easy to control dosage. Pharmaceutical tableting operations have been around for decades however the process is still not well understood. One of the common problems faced during the production of pharmaceutical tablets by powder compaction is sticking of powder to the punch face, This is known as 'sticking'. A more specialized case of sticking is picking when the powder is pulled away form the compact in the vicinity of debossed features. In the pharmaceutical industry, picking is solved by trial and error which is an expensive, labor intensive and time consuming affair. The objective of this work was to develop, validate, and implement a modeling framework for predicting picking in powder compacts. The model was developed in Abaqus a commercially available finite element package. The resulting model was used to investigate the influence of debossed feature geometry viz. the stroke angle and degree of pre-pick, and, influence of lubricant on picking. (Abstract shortened by ProQuest.).
International Nuclear Information System (INIS)
Gaillard, M.K.
1989-05-01
The field of elementary particle, or high energy, physics seeks to identify the most elementary constituents of nature and to study the forces that govern their interactions. Increasing the energy of a probe in a laboratory experiment increases its power as an effective microscope for discerning increasingly smaller structures of matter. Thus we have learned that matter is composed of molecules that are in turn composed of atoms, that the atom consists of a nucleus surrounded by a cloud of electrons, and that the atomic nucleus is a collection of protons and neutrons. The more powerful probes provided by high energy particle accelerators have taught us that a nucleon is itself made of objects called quarks. The forces among quarks and electrons are understood within a general theoretical framework called the ''standard model,'' that accounts for all interactions observed in high energy laboratory experiments to date. These are commonly categorized as the ''strong,'' ''weak'' and ''electromagnetic'' interactions. In this lecture I will describe the standard model, and point out some of its limitations. Probing for deeper structures in quarks and electrons defines the present frontier of particle physics. I will discuss some speculative ideas about extensions of the standard model and/or yet more fundamental forces that may underlie our present picture. 11 figs., 1 tab
Modeling interfacial fracture in Sierra.
Energy Technology Data Exchange (ETDEWEB)
Brown, Arthur A.; Ohashi, Yuki; Lu, Wei-Yang; Nelson, Stacy A. C.; Foulk, James W.,; Reedy, Earl David,; Austin, Kevin N.; Margolis, Stephen B.
2013-09-01
This report summarizes computational efforts to model interfacial fracture using cohesive zone models in the SIERRA/SolidMechanics (SIERRA/SM) finite element code. Cohesive surface elements were used to model crack initiation and propagation along predefined paths. Mesh convergence was observed with SIERRA/SM for numerous geometries. As the funding for this project came from the Advanced Simulation and Computing Verification and Validation (ASC V&V) focus area, considerable effort was spent performing verification and validation. Code verification was performed to compare code predictions to analytical solutions for simple three-element simulations as well as a higher-fidelity simulation of a double-cantilever beam. Parameter identification was conducted with Dakota using experimental results on asymmetric double-cantilever beam (ADCB) and end-notched-flexure (ENF) experiments conducted under Campaign-6 funding. Discretization convergence studies were also performed with respect to mesh size and time step and an optimization study was completed for mode II delamination using the ENF geometry. Throughout this verification process, numerous SIERRA/SM bugs were found and reported, all of which have been fixed, leading to over a 10-fold increase in convergence rates. Finally, mixed-mode flexure experiments were performed for validation. One of the unexplained issues encountered was material property variability for ostensibly the same composite material. Since the variability is not fully understood, it is difficult to accurately assess uncertainty when performing predictions.
Particle production at large transverse momentum and hard collision models
International Nuclear Information System (INIS)
Ranft, G.; Ranft, J.
1977-04-01
The majority of the presently available experimental data is consistent with hard scattering models. Therefore the hard scattering model seems to be well established. There is good evidence for jets in large transverse momentum reactions as predicted by these models. The overall picture is however not yet well enough understood. We mention only the empirical hard scattering cross section introduced in most of the models, the lack of a deep theoretical understanding of the interplay between quark confinement and jet production, and the fact that we are not yet able to discriminate conclusively between the many proposed hard scattering models. The status of different hard collision models discussed in this paper is summarized. (author)
Relevance of animal models to human tardive dyskinesia
Directory of Open Access Journals (Sweden)
Blanchet Pierre J
2012-03-01
Full Text Available Abstract Tardive dyskinesia remains an elusive and significant clinical entity that can possibly be understood via experimentation with animal models. We conducted a literature review on tardive dyskinesia modeling. Subchronic antipsychotic drug exposure is a standard approach to model tardive dyskinesia in rodents. Vacuous chewing movements constitute the most common pattern of expression of purposeless oral movements and represent an impermanent response, with individual and strain susceptibility differences. Transgenic mice are also used to address the contribution of adaptive and maladaptive signals induced during antipsychotic drug exposure. An emphasis on non-human primate modeling is proposed, and past experimental observations reviewed in various monkey species. Rodent and primate models are complementary, but the non-human primate model appears more convincingly similar to the human condition and better suited to address therapeutic issues against tardive dyskinesia.
Computational models of the single substitutional nitrogen atom in diamond
Lombardi, E B; Osuch, K; Reynhardt, E C
2003-01-01
The single substitutional nitrogen atom in diamond is apparently a very simple defect in a very simple elemental solid. It has been modelled by a range of computational models, few of which either agree with each other, or with the experimental data on the defect. If the computational models of less well understood defects in this and more complex materials are to be reliable, we should understand why the discrepancies arise and how they can be avoided in future modelling. This paper presents an all-electron, augmented plane-wave (APW) density functional theory (DFT) calculation using the modern APW with local orbitals full potential periodic approximation. This is compared to DFT, finite cluster pseudopotential calculations and a semi-empirical Hartree-Fock model. Comparisons between the results of these and previous models allow us to discuss the reliability of computational methods of this and similar defects.
Detection and quantification of flow consistency in business process models
DEFF Research Database (Denmark)
Burattin, Andrea; Bernstein, Vered; Neurauter, Manuel
2017-01-01
, to show how such features can be quantified into computational metrics, which are applicable to business process models. We focus on one particular feature, consistency of flow direction, and show the challenges that arise when transforming it into a precise metric. We propose three different metrics......Business process models abstract complex business processes by representing them as graphical models. Their layout, as determined by the modeler, may have an effect when these models are used. However, this effect is currently not fully understood. In order to systematically study this effect......, a basic set of measurable key visual features is proposed, depicting the layout properties that are meaningful to the human user. The aim of this research is thus twofold: first, to empirically identify key visual features of business process models which are perceived as meaningful to the user and second...
International Nuclear Information System (INIS)
Buchler, J.R.; Gottesman, S.T.; Hunter, J.H. Jr.
1990-01-01
Various papers on galactic models are presented. Individual topics addressed include: observations relating to galactic mass distributions; the structure of the Galaxy; mass distribution in spiral galaxies; rotation curves of spiral galaxies in clusters; grand design, multiple arm, and flocculent spiral galaxies; observations of barred spirals; ringed galaxies; elliptical galaxies; the modal approach to models of galaxies; self-consistent models of spiral galaxies; dynamical models of spiral galaxies; N-body models. Also discussed are: two-component models of galaxies; simulations of cloudy, gaseous galactic disks; numerical experiments on the stability of hot stellar systems; instabilities of slowly rotating galaxies; spiral structure as a recurrent instability; model gas flows in selected barred spiral galaxies; bar shapes and orbital stochasticity; three-dimensional models; polar ring galaxies; dynamical models of polar rings
Exotic Attractors of the Nonequilibrium Rabi-Hubbard Model.
Schiró, M; Joshi, C; Bordyuh, M; Fazio, R; Keeling, J; Türeci, H E
2016-04-08
We explore the phase diagram of the dissipative Rabi-Hubbard model, as could be realized by a Raman-pumping scheme applied to a coupled cavity array. There exist various exotic attractors, including ferroelectric, antiferroelectric, and incommensurate fixed points, as well as regions of persistent oscillations. Many of these features can be understood analytically by truncating to the two lowest lying states of the Rabi model on each site. We also show that these features survive beyond mean field, using matrix product operator simulations.
Mathematical Modeling of Neuro-Vascular Coupling in Rat Cerebellum
DEFF Research Database (Denmark)
Rasmussen, Tina
Activity in the neurons called climbing fibers causes blood flow changes. But the physiological mechanisms which mediate the coupling are not well understood. This PhD thesis investigates the mechanisms of neuro-vascular coupling by means of mathematical methods. In experiments, the extracellularly...... measured field potential is used as an indicator of neuronal activity, and the cortical blood flow is measured by means of laser-Doppler flowmetry. Using system identification methods, these measurements have been used to construct and validate parametric mathematical models of the neuro-vascular system....... Mathematical arguments as well as hypotheses about the physiological system have been used to construct the models....
On 'Money' in ISLM and AD/AS Models
Thomas K. Rymes; Colin Rogers
2000-01-01
Hicks's ISLM model interpretation of Keynes's theory is subject to much controversy. In this paper, we focus upon the 'real balance' effect and its role in ISLM and AD/AS analyses. We shall argue that ISLM and AD/AS require 'nominal anchors'. We live in a world where, increasingly, the 'money' in the ISLM and AD/AS model no longer exists (as Keynes imperfectly understood in his TREATISE ON MONEy). There are no longer any nominal anchors, rather they have been replaced by discretionary policy....
Human endotoxemia as a model of systemic inflammation
DEFF Research Database (Denmark)
Krabbe, K.S.; Krogh-Madsen, R.; Taudorf, S.
2008-01-01
Systemic inflammation is a pathogenetic component in a vast number of acute and chronic diseases such as sepsis, trauma, type 2 diabetes, atherosclerosis, and Alzheimer's disease, all of which are associated with a substantial morbidity and mortality. However, the molecular mechanisms...... and physiological significance of the systemic inflammatory response are still not fully understood. The human endotoxin model, an in vivo model of systemic inflammation in which lipopolysaccharide is injected or infused intravenously in healthy volunteers, may be helpful in unravelling these issues. The present...
An improved model for the reconstruction of past radon exposure.
Cauwels, P; Poffijn, A
2000-05-01
If the behavior of long-lived radon progeny was well understood, measurements of these could be used in epidemiological studies to estimate past radon exposure. Field measurements were done in a radon-prone area in the Ardennes (Belgium). The surface activity of several glass sheets was measured using detectors that were fixed on indoor glass surfaces. Simultaneously the indoor radon concentration was measured using diffusion chambers. By using Monte Carlo techniques, it could be proven that there is a discrepancy between this data set and the room model calculations, which are normally used to correlate surface activity and past radon exposure. To solve this, a modification of the model is proposed.
Models and correlations of the DEBRIS Late-Phase Melt Progression Model
International Nuclear Information System (INIS)
Schmidt, R.C.; Gasser, R.D.
1997-09-01
The DEBRIS Late Phase Melt Progression Model is an assembly of models, embodied in a computer code, which is designed to treat late-phase melt progression in dry rubble (or debris) regions that can form as a consequence of a severe core uncover accident in a commercial light water nuclear reactor. The approach is fully two-dimensional, and incorporates a porous medium modeling framework together with conservation and constitutive relationships to simulate the time-dependent evolution of such regions as various physical processes act upon the materials. The objective of the code is to accurately model these processes so that the late-phase melt progression that would occur in different hypothetical severe nuclear reactor accidents can be better understood and characterized. In this report the models and correlations incorporated and used within the current version of DEBRIS are described. These include the global conservation equations solved, heat transfer and fission heating models, melting and refreezing models (including material interactions), liquid and solid relocation models, gas flow and pressure field models, and the temperature and compositionally dependent material properties employed. The specific models described here have been used in the experiment design analysis of the Phebus FPT-4 debris-bed fission-product release experiment. An earlier DEBRIS code version was used to analyze the MP-1 and MP-2 late-phase melt progression experiments conducted at Sandia National Laboratories for the US Nuclear Regulatory Commission
Models and correlations of the DEBRIS Late-Phase Melt Progression Model
Energy Technology Data Exchange (ETDEWEB)
Schmidt, R.C.; Gasser, R.D. [Sandia National Labs., Albuquerque, NM (United States). Reactor Safety Experiments Dept.
1997-09-01
The DEBRIS Late Phase Melt Progression Model is an assembly of models, embodied in a computer code, which is designed to treat late-phase melt progression in dry rubble (or debris) regions that can form as a consequence of a severe core uncover accident in a commercial light water nuclear reactor. The approach is fully two-dimensional, and incorporates a porous medium modeling framework together with conservation and constitutive relationships to simulate the time-dependent evolution of such regions as various physical processes act upon the materials. The objective of the code is to accurately model these processes so that the late-phase melt progression that would occur in different hypothetical severe nuclear reactor accidents can be better understood and characterized. In this report the models and correlations incorporated and used within the current version of DEBRIS are described. These include the global conservation equations solved, heat transfer and fission heating models, melting and refreezing models (including material interactions), liquid and solid relocation models, gas flow and pressure field models, and the temperature and compositionally dependent material properties employed. The specific models described here have been used in the experiment design analysis of the Phebus FPT-4 debris-bed fission-product release experiment. An earlier DEBRIS code version was used to analyze the MP-1 and MP-2 late-phase melt progression experiments conducted at Sandia National Laboratories for the US Nuclear Regulatory Commission.
Petrov, Petar I.; Mandija, Stefano; Sommer, Iris E.C.; Van Den Berg, Cornelis A.T.; Neggers, Sebastiaan F.W.
2017-01-01
Background: Despite TMS wide adoption, its spatial and temporal patterns of neuronal effects are not well understood. Although progress has been made in predicting induced currents in the brain using realistic finite element models (FEM), there is little consensus on how a magnetic field of a
Gregory M. Cohn; Russell A. Parsons; Emily K. Heyerdahl; Daniel G. Gavin; Aquila Flower
2014-01-01
The widespread, native defoliator western spruce budworm (Choristoneura occidentalis Freeman) reduces canopy fuels, which might affect the potential for surface fires to torch (ignite the crowns of individual trees) or crown (spread between tree crowns). However, the effects of defoliation on fire behaviour are poorly understood. We used a physics-based fire model to...
A STELLA model to estimate water and nitrogen dynamics in a short-rotation woody crop plantation
Ying Ouyang; Jiaen Zhang; Theodor D. Leininger; Brent R. Frey
2015-01-01
Although short-rotation woody crop biomass production technology has demonstrated a promising potential to supply feedstocks for bioenergy production, the water and nutrient processes in the woody crop planation ecosystem are poorly understood. In this study, a computer model was developed to estimate the dynamics of water and nitrogen (N) species (e.g., NH4...
DEFF Research Database (Denmark)
Tønnesen, Jan; Parish, Clare L; Sørensen, Andreas T
2011-01-01
Intrastriatal grafts of stem cell-derived dopamine (DA) neurons induce behavioral recovery in animal models of Parkinson's disease (PD), but how they functionally integrate in host neural circuitries is poorly understood. Here, Wnt5a-overexpressing neural stem cells derived from embryonic ventral...
E. A. H. Smithwick; M. G. Ryan; D. M. Kashian; W. H. Romme; D. B. Tinker; M. G. Turner
2009-01-01
The interaction between disturbance and climate change and resultant effects on ecosystem carbon (C) and nitrogen (N) fluxes are poorly understood. Here, we model (using CENTURY version 4.5) how climate change may affect C and N fluxes among mature and regenerating lodgepole pine (Pinus contorta var. latifolia Engelm. ex S.Wats.)...
Spin systems and Political Districting Problem
Energy Technology Data Exchange (ETDEWEB)
Chou, C.-I [Department of Physics, Chinese Culture University, Taipei, Taiwan 111 (China)]. E-mail: cichou@faculty.pccu.edu.tw; Li, S.-P. [Institute of Physics, Academia Sinica, Taipei, Taiwan 115 (China)
2007-03-15
The aim of the Political Districting Problem is to partition a territory into electoral districts subject to some constraints such as contiguity, population equality, etc. In this paper, we apply statistical physics methods to Political Districting Problem. We will show how to transform the political problem to a spin system, and how to write down a q-state Potts model-like energy function in which the political constraints can be written as interactions between sites or external fields acting on the system. Districting into q voter districts is equivalent to finding the ground state of this q-state Potts model. Searching for the ground state becomes an optimization problem, where optimization algorithms such as the simulated annealing method and Genetic Algorithm can be employed here.
Spin systems and Political Districting Problem
Chou, Chung-I.; Li, Sai-Ping
2007-03-01
The aim of the Political Districting Problem is to partition a territory into electoral districts subject to some constraints such as contiguity, population equality, etc. In this paper, we apply statistical physics methods to Political Districting Problem. We will show how to transform the political problem to a spin system, and how to write down a q-state Potts model-like energy function in which the political constraints can be written as interactions between sites or external fields acting on the system. Districting into q voter districts is equivalent to finding the ground state of this q-state Potts model. Searching for the ground state becomes an optimization problem, where optimization algorithms such as the simulated annealing method and Genetic Algorithm can be employed here.
Optical models of the human eye.
Atchison, David A; Thibos, Larry N
2016-03-01
Optical models of the human eye have been used in visual science for purposes such as providing a framework for explaining optical phenomena in vision, for predicting how refraction and aberrations are affected by change in ocular biometry and as computational tools for exploring the limitations imposed on vision by the optical system of the eye. We address the issue of what is understood by optical model eyes, discussing the 'encyclopaedia' and 'toy train' approaches to modelling. An extensive list of purposes of models is provided. We discuss many of the theoretical types of optical models (also schematic eyes) of varying anatomical accuracy, including single, three and four refracting surface variants. We cover the models with lens structure in the form of nested shells and gradient index. Many optical eye models give accurate predictions only for small angles and small fields of view. If aberrations and image quality are important to consider, such 'paraxial' model eyes must be replaced by 'finite model' eyes incorporating features such as aspheric surfaces, tilts and decentrations, wavelength-dependent media and curved retinas. Many optical model eyes are population averages and must become adaptable to account for age, gender, ethnicity, refractive error and accommodation. They can also be customised for the individual when extensive ocular biometry and optical performance data are available. We consider which optical model should be used for a particular purpose, adhering to the principle that the best model is the simplest fit for the task. We provide a glimpse into the future of optical models of the human eye. This review is interwoven with historical developments, highlighting the important people who have contributed so richly to our understanding of visual optics. © 2016 The Authors. Clinical and Experimental Optometry © 2016 Optometry Australia.
Computational acoustic modeling of cetacean vocalizations
Gurevich, Michael Dixon
A framework for computational acoustic modeling of hypothetical vocal production mechanisms in cetaceans is presented. As a specific example, a model of a proposed source in the larynx of odontocetes is developed. Whales and dolphins generate a broad range of vocal sounds, but the exact mechanisms they use are not conclusively understood. In the fifty years since it has become widely accepted that whales can and do make sound, how they do so has remained particularly confounding. Cetaceans' highly divergent respiratory anatomy, along with the difficulty of internal observation during vocalization have contributed to this uncertainty. A variety of acoustical, morphological, ethological and physiological evidence has led to conflicting and often disputed theories of the locations and mechanisms of cetaceans' sound sources. Computational acoustic modeling has been used to create real-time parametric models of musical instruments and the human voice. These techniques can be applied to cetacean vocalizations to help better understand the nature and function of these sounds. Extensive studies of odontocete laryngeal morphology have revealed vocal folds that are consistently similar to a known but poorly understood acoustic source, the ribbon reed. A parametric computational model of the ribbon reed is developed, based on simplified geometrical, mechanical and fluid models drawn from the human voice literature. The physical parameters of the ribbon reed model are then adapted to those of the odontocete larynx. With reasonable estimates of real physical parameters, both the ribbon reed and odontocete larynx models produce sounds that are perceptually similar to their real-world counterparts, and both respond realistically under varying control conditions. Comparisons of acoustic features of the real-world and synthetic systems show a number of consistencies. While this does not on its own prove that either model is conclusively an accurate description of the source, it
Ovarian Cancer Pathogenesis: A Model in Evolution
Directory of Open Access Journals (Sweden)
Alison M. Karst
2010-01-01
Full Text Available Ovarian cancer is a deadly disease for which there is no effective means of early detection. Ovarian carcinomas comprise a diverse group of neoplasms, exhibiting a wide range of morphological characteristics, clinical manifestations, genetic alterations, and tumor behaviors. This high degree of heterogeneity presents a major clinical challenge in both diagnosing and treating ovarian cancer. Furthermore, the early events leading to ovarian carcinoma development are poorly understood, thus complicating efforts to develop screening modalities for this disease. Here, we provide an overview of the current models of ovarian cancer pathogenesis, highlighting recent findings implicating the fallopian tube fimbria as a possible site of origin of ovarian carcinomas. The ovarian cancer model will continue to evolve as we learn more about the genetics and etiology of this disease.
Ischemic postconditioning: experimental models and protocol algorithms.
Skyschally, Andreas; van Caster, Patrick; Iliodromitis, Efstathios K; Schulz, Rainer; Kremastinos, Dimitrios T; Heusch, Gerd
2009-09-01
Ischemic postconditioning, a simple mechanical maneuver at the onset of reperfusion, reduces infarct size after ischemia/reperfusion. After its first description in 2003 by Zhao et al. numerous experimental studies have investigated this protective phenomenon. Whereas the underlying mechanisms and signal transduction are not yet understood in detail, infarct size reduction by ischemic postconditioning was confirmed in all species tested so far, including man. We have now reviewed the literature with focus on experimental models and protocols to better understand the determinants of protection by ischemic postconditioning or lack of it. Only studies with infarct size as unequivocal endpoint were considered. In all species and models, the duration of index ischemia and the protective protocol algorithm impact on the outcome of ischemic postconditioning, and gender, age, and myocardial temperature contribute.
Computational hemodynamics theory, modelling and applications
Tu, Jiyuan; Wong, Kelvin Kian Loong
2015-01-01
This book discusses geometric and mathematical models that can be used to study fluid and structural mechanics in the cardiovascular system. Where traditional research methodologies in the human cardiovascular system are challenging due to its invasive nature, several recent advances in medical imaging and computational fluid and solid mechanics modelling now provide new and exciting research opportunities. This emerging field of study is multi-disciplinary, involving numerical methods, computational science, fluid and structural mechanics, and biomedical engineering. Certainly any new student or researcher in this field may feel overwhelmed by the wide range of disciplines that need to be understood. This unique book is one of the first to bring together knowledge from multiple disciplines, providing a starting point to each of the individual disciplines involved, attempting to ease the steep learning curve. This book presents elementary knowledge on the physiology of the cardiovascular system; basic knowl...
Computational models of intergroup competition and warfare.
Energy Technology Data Exchange (ETDEWEB)
Letendre, Kenneth (University of New Mexico); Abbott, Robert G.
2011-11-01
This document reports on the research of Kenneth Letendre, the recipient of a Sandia Graduate Research Fellowship at the University of New Mexico. Warfare is an extreme form of intergroup competition in which individuals make extreme sacrifices for the benefit of their nation or other group to which they belong. Among animals, limited, non-lethal competition is the norm. It is not fully understood what factors lead to warfare. We studied the global variation in the frequency of civil conflict among countries of the world, and its positive association with variation in the intensity of infectious disease. We demonstrated that the burden of human infectious disease importantly predicts the frequency of civil conflict and tested a causal model for this association based on the parasite-stress theory of sociality. We also investigated the organization of social foraging by colonies of harvester ants in the genus Pogonomyrmex, using both field studies and computer models.
Energy Technology Data Exchange (ETDEWEB)
Hagedorn, C.
2008-01-15
In this thesis we discuss possibilities to solve the family replication problem and to understand the observed strong hierarchy among the fermion masses and the diverse mixing pattern of quarks and leptons. We show that non-abelian discrete symmetries which act non-trivially in generation space can serve as profound explanation. We present three low energy models with the permutation symmetry S{sub 4}, the dihedral group D{sub 5} and the double-valued group T' as flavor symmetry. The T' model turns out to be very predictive, since it explains tri-bimaximal mixing in the lepton sector and, moreover, leads to two non-trivial relations in the quark sector, {radical}((m{sub d})/(m{sub s}))= vertical stroke V{sub us} vertical stroke and {radical}((m{sub d})/(m{sub s}))= vertical stroke (V{sub td})/(V{sub ts}) vertical stroke. The main message of the T' model is the observation that the diverse pattern in the quark and lepton mixings can be well-understood, if the flavor symmetry is not broken in an arbitrary way, but only to residual (non-trivial) subgroups. Apart from leading to deeper insights into the origin of the fermion mixings this idea enables us to perform systematic studies of large classes of discrete groups. This we show in our study of dihedral symmetries D{sub n} and D'{sub n}. As a result we find only five distinct (Dirac) mass matrix structures arising from a dihedral group, if we additionally require partial unification of either left-handed or left-handed conjugate fermions and the determinant of the mass matrix to be non-vanishing. Furthermore, we reveal the ability of dihedral groups to predict the Cabibbo angle {theta}{sub C}, i.e. vertical stroke V{sub us(cd)} vertical stroke = cos((3{pi})/(7)), as well as maximal atmospheric mixing, {theta}{sub 23}=({pi})/(4), and vanishing {theta}{sub 13} in the lepton sector. (orig.)
DEFF Research Database (Denmark)
Ravn, Anders P.; Staunstrup, Jørgen
1994-01-01
This paper proposes a model for specifying interfaces between concurrently executing modules of a computing system. The model does not prescribe a particular type of communication protocol and is aimed at describing interfaces between both software and hardware modules or a combination of the two....... The model describes both functional and timing properties of an interface...
Atopic Dermatitis Studies through In Vitro Models
Directory of Open Access Journals (Sweden)
Evelyne De Vuyst
2017-07-01
Full Text Available Atopic dermatitis (AD is a complex inflammatory skin condition that is not fully understood. Epidermal barrier defects and Th2 immune response dysregulations are thought to play crucial roles in the pathogenesis of the disease. A vicious circle takes place between these alterations, and it can further be complicated by additional genetic and environmental factors. Studies investigating in more depth the etiology of the disease are thus needed in order to develop functional treatments. In recent years, there have been significant advances regarding in vitro models reproducing important features of AD. However, since a lot of models have been developed, finding the appropriate experimental setting can be difficult. Therefore, herein, we review the different types of in vitro models mimicking features of AD. The simplest models are two-dimensional culture systems composed of immune cells or keratinocytes, whereas three-dimensional skin or epidermal equivalents reconstitute more complex stratified tissues exhibiting barrier properties. In those models, hallmarks of AD are obtained, either by challenging tissues with interleukin cocktails overexpressed in AD epidermis or by silencing expression of pivotal genes encoding epidermal barrier proteins. Tissue equivalents cocultured with lymphocytes or containing AD patient cells are also described. Furthermore, each model is placed in its study context with a brief summary of the main results obtained. In conclusion, the described in vitro models are useful tools to better understand AD pathogenesis, but also to screen new compounds in the field of AD, which probably will open the way to new preventive or therapeutic strategies.
DEFF Research Database (Denmark)
He, Chen; Mikkelsen, Bent Egberg
2009-01-01
Promotion of healthy eating in some Danish public school settings has become a preferred option to counteract the growing rates of obesity among young people. The purpose of study was to explore how these Danish school meal programs are shaped in their local communities. The study analyses...... the actor-groups in three municipalities using an actor network theoretical framework. The "translation" proces of the actor network was utilized to unfold the infrastructure of the school food service space in the municipalities. The first stage is the statement of core problem in the research so...... that define actors in the shaping process of school meal programs and influences then together to achieve the aim. Then distributes and locks each actor into its proper group: municipality, school or food provision. Afterwards interaction and relationship among all actors in three groups is illustrated...
Brandon, J. A.
2016-02-01
For my thesis research, I study marine debris, specifically in the North Pacific Subtropical Gyre, colloquially known as the Great Pacific Garbage Patch. Marine debris in general, and the Great Pacific Garbage Patch in particular, are marine pollution issues that have captured considerable public and media attention. Especially in the late 2000s, there were significantly more popular media articles about marine debris and the Great Pacific Garbage Patch than scientific journal articles. Due to this popular attention and lag in scientific publication, there are a lot of exaggerated facts and prevalent myths about marine debris in the public consciousness today. As a graduate student at the Scripps Institution of Oceanography, UCSD, I have been given many opportunities to speak to diverse audiences about marine debris. These groups vary in their base knowledge of the issue, from very knowledgeable, to unknowledgeable, to knowledgeable but misinformed about the issue. Over my three years in graduate school, building off a base presentation from a previous graduate student and techniques learned from the education department at Birch Aquarium, I have developed ways to correct some misinformation while not making the audience feel insulted. I correct misinformation while building up a correct base knowledge. This knowledge can be very depressing, as many modern scientific problems can be, but I end the presentation with ways in which the audience can feel empowered and can continue to educate themselves. Hopefully they leave with both knowledge and applicable lessons that they can implement into their lives.
Fenton-O'Creevy, Mark; van Mourik, Carien
2016-01-01
We report on a case study of high Japanese student failure rates in an online MBA programme. Drawing on interviews, and reviews of exam and assignment scripts we frame the problems faced by these students in terms of a "language as social practice" approach and highlight the students' failure to understand the specific language games…
Systematic reduction of a detailed atrial myocyte model
Lombardo, Daniel M.; Rappel, Wouter-Jan
2017-09-01
Cardiac arrhythmias are a major health concern and often involve poorly understood mechanisms. Mathematical modeling is able to provide insights into these mechanisms which might result in better treatment options. A key element of this modeling is a description of the electrophysiological properties of cardiac cells. A number of electrophysiological models have been developed, ranging from highly detailed and complex models, containing numerous parameters and variables, to simplified models in which variables and parameters no longer directly correspond to electrophysiological quantities. In this study, we present a systematic reduction of the complexity of the detailed model of Koivumaki et al. using the recently developed manifold boundary approximation method. We reduce the original model, containing 42 variables and 37 parameters, to a model with only 11 variables and 5 parameters and show that this reduced model can accurately reproduce the action potential shape and restitution curve of the original model. The reduced model contains only five currents and all variables and parameters can be directly linked to electrophysiological quantities. Due to its reduction in complexity, simulation times of our model are decreased more than three-fold. Furthermore, fitting the reduced model to clinical data is much more efficient, a potentially important step towards patient-specific modeling.
Aerosols and clouds in chemical transport models and climate models.
Energy Technology Data Exchange (ETDEWEB)
Lohmann,U.; Schwartz, S. E.
2008-03-02
Clouds exert major influences on both shortwave and longwave radiation as well as on the hydrological cycle. Accurate representation of clouds in climate models is a major unsolved problem because of high sensitivity of radiation and hydrology to cloud properties and processes, incomplete understanding of these processes, and the wide range of length scales over which these processes occur. Small changes in the amount, altitude, physical thickness, and/or microphysical properties of clouds due to human influences can exert changes in Earth's radiation budget that are comparable to the radiative forcing by anthropogenic greenhouse gases, thus either partly offsetting or enhancing the warming due to these gases. Because clouds form on aerosol particles, changes in the amount and/or composition of aerosols affect clouds in a variety of ways. The forcing of the radiation balance due to aerosol-cloud interactions (indirect aerosol effect) has large uncertainties because a variety of important processes are not well understood precluding their accurate representation in models.
Development of a Watershed Management Model for the Chesapeake Using Multiple Model
Bhatt, G.; Shenk, G.
2014-12-01
Calibrated watershed models are widely used as tools for estimating the outcomes of management scenarios. Multiple models are often recommended for well-informed decision making to gain an estimate of uncertainty, to allow for multiple representations of the physical-chemical-biological system, and to provide confidence in the model predictions. Implementing and maintaining multiple watershed models, particularly of a large-scale watershed, poses significant financial and logistical challenges associated with model calibrations, computation requirements, and differences in data formats. Moreover, analysis of results from multiple models adds additional complexity in decision-making. We propose and demonstrate a framework to simulate management scenarios using a 'sensitivity' approach that incorporates the findings of multiple models into a single simulation framework. This simple and easily-understood modeling framework provides the ability to explicitly incorporate the best available science-based understanding of watershed responses to changes in nutrient balances. Generalized watershed nutrient response are derived from the synthesis of multiple lines of evidence, which include studies involving multiple physically-based models of watersheds at catchment to regional scales, along with experimental studies and watershed observatories. The framework provides simplified accounting for planning, implementation, and tracking of management scenarios while providing capabilities to incorporate complex watershed phenomenon such as lag-times in nutrient response. The framework is being developed by the Chesapeake Bay Partnership for an assessment of a Total Maximum Daily Load (TMDL) in 2017 and to develop management plans to meet water quality standards in the Bay waters.
Hydrological models are mediating models
Babel, L. V.; Karssenberg, D.
2013-08-01
Despite the increasing role of models in hydrological research and decision-making processes, only few accounts of the nature and function of models exist in hydrology. Earlier considerations have traditionally been conducted while making a clear distinction between physically-based and conceptual models. A new philosophical account, primarily based on the fields of physics and economics, transcends classes of models and scientific disciplines by considering models as "mediators" between theory and observations. The core of this approach lies in identifying models as (1) being only partially dependent on theory and observations, (2) integrating non-deductive elements in their construction, and (3) carrying the role of instruments of scientific enquiry about both theory and the world. The applicability of this approach to hydrology is evaluated in the present article. Three widely used hydrological models, each showing a different degree of apparent physicality, are confronted to the main characteristics of the "mediating models" concept. We argue that irrespective of their kind, hydrological models depend on both theory and observations, rather than merely on one of these two domains. Their construction is additionally involving a large number of miscellaneous, external ingredients, such as past experiences, model objectives, knowledge and preferences of the modeller, as well as hardware and software resources. We show that hydrological models convey the role of instruments in scientific practice by mediating between theory and the world. It results from these considerations that the traditional distinction between physically-based and conceptual models is necessarily too simplistic and refers at best to the stage at which theory and observations are steering model construction. The large variety of ingredients involved in model construction would deserve closer attention, for being rarely explicitly presented in peer-reviewed literature. We believe that devoting
Statistical mechanics of human resource allocation
Inoue, Jun-Ichi; Chen, He
2014-03-01
We provide a mathematical platform to investigate the network topology of agents, say, university graduates who are looking for their positions in labor markets. The basic model is described by the so-called Potts spin glass which is well-known in the research field of statistical physics. In the model, each Potts spin (a tiny magnet in atomic scale length) represents the action of each student, and it takes a discrete variable corresponding to the company he/she applies for. We construct the energy to include three distinct effects on the students' behavior, namely, collective effect, market history and international ranking of companies. In this model system, the correlations (the adjacent matrix) between students are taken into account through the pairwise spin-spin interactions. We carry out computer simulations to examine the efficiency of the model. We also show that some chiral representation of the Potts spin enables us to obtain some analytical insights into our labor markets. This work was financially supported by Grant-in-Aid for Scientific Research (C) of Japan Society for the Promotion of Science No. 25330278.
Extending canonical Monte Carlo methods
International Nuclear Information System (INIS)
Velazquez, L; Curilef, S
2010-01-01
In this paper, we discuss the implications of a recently obtained equilibrium fluctuation-dissipation relation for the extension of the available Monte Carlo methods on the basis of the consideration of the Gibbs canonical ensemble to account for the existence of an anomalous regime with negative heat capacities C α with α≈0.2 for the particular case of the 2D ten-state Potts model
Jedrychowski, Mariusz
2014-01-01
The main aim of this thesis is to describe and analyse recrystallization and grain growth phenomena taking place in hexagonal metals, in particular cold-rolled titanium and channel-die compressed zirconium were considered. For that reason, several experiements were prepared and carried out using EBSD (Electron Backstartter Diffraction) technique. In addition, a special software based on Monte Carlo Potts model was developed in order to facilitate experiemental analysis using simulation approa...
International Nuclear Information System (INIS)
Phillips, C.K.
1985-12-01
This lecture provides a survey of the methods used to model fast magnetosonic wave coupling, propagation, and absorption in tokamaks. The validity and limitations of three distinct types of modelling codes, which will be contrasted, include discrete models which utilize ray tracing techniques, approximate continuous field models based on a parabolic approximation of the wave equation, and full field models derived using finite difference techniques. Inclusion of mode conversion effects in these models and modification of the minority distribution function will also be discussed. The lecture will conclude with a presentation of time-dependent global transport simulations of ICRF-heated tokamak discharges obtained in conjunction with the ICRF modelling codes. 52 refs., 15 figs
Opaque models: Using drugs and dreams to explore the neurobiological basis of mental phenomena.
Langlitz, Nicolas
2017-01-01
On the basis of four historical and ethnographic case studies of modeling in neuroscience laboratories, this chapter introduces a distinction between transparent and opaque models. A transparent model is a simplified representation of a real world phenomenon. If it is not patently clear, it is at least much better comprehended than its objects of representation. An opaque model, by contrast, looks at one only partially understood phenomenon to stand in for another partially understood phenomenon. Here, the model is often just as complex as its target. Examples of such opaque models discussed in this chapter are the use of hallucinogen intoxication in humans and animals as well as the dreaming brain as models of psychosis as well as the dreaming brain as a model of consciousness in general. Several functions of opaque models are discussed, ranging from the generation of funding to the formulation of new research questions. While science studies scholars have often emphasized the epistemic fertility of failures of representation, the opacity of hallucinogen intoxications and dreams seems to have diminished the potential to produce positive knowledge from the representational relationship between the supposed models and their targets. Bidirectional comparisons between inebriation, dreaming, and psychosis, however, proved to be generative on the level of basic science. Moreover, the opaque models discussed in this chapter implicated cosmologies that steered research endeavors into certain directions rather than others. © 2017 Elsevier B.V. All rights reserved.
Modelling in Business Model design
Simonse, W.L.
2013-01-01
It appears that business model design might not always produce a design or model as the expected result. However when designers are involved, a visual model or artefact is produced. To assist strategic managers in thinking about how they can act, the designers challenge is to combine strategy and
International Nuclear Information System (INIS)
Sundberg, Jan
2003-04-01
Site investigations are in progress for the siting of a deep repository for spent nuclear fuel. As part of the planning work, strategies are developed for site descriptive modelling regarding different disciplines, amongst them the thermal conditions. The objective of the strategy for a thermal site descriptive model is to guide the practical implementation of evaluating site specific data during the site investigations. It is understood that further development may be needed. The model describes the thermal properties and other thermal parameters of intact rock, fractures and fracture zones, and of the rock mass. The methodology is based on estimation of thermal properties of intact rock and discontinuities, using both empirical and theoretical/numerical approaches, and estimation of thermal processes using mathematical modelling. The methodology will be used and evaluated for the thermal site descriptive modelling at the Aespoe Hard Rock Laboratory
International Nuclear Information System (INIS)
Yang, H.
1999-01-01
The purpose of this analysis and model report (AMR) for the Ventilation Model is to analyze the effects of pre-closure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts and provide heat removal data to support EBS design. It will also provide input data (initial conditions, and time varying boundary conditions) for the EBS post-closure performance assessment and the EBS Water Distribution and Removal Process Model. The objective of the analysis is to develop, describe, and apply calculation methods and models that can be used to predict thermal conditions within emplacement drifts under forced ventilation during the pre-closure period. The scope of this analysis includes: (1) Provide a general description of effects and heat transfer process of emplacement drift ventilation. (2) Develop a modeling approach to simulate the impacts of pre-closure ventilation on the thermal conditions in emplacement drifts. (3) Identify and document inputs to be used for modeling emplacement ventilation. (4) Perform calculations of temperatures and heat removal in the emplacement drift. (5) Address general considerations of the effect of water/moisture removal by ventilation on the repository thermal conditions. The numerical modeling in this document will be limited to heat-only modeling and calculations. Only a preliminary assessment of the heat/moisture ventilation effects and modeling method will be performed in this revision. Modeling of moisture effects on heat removal and emplacement drift temperature may be performed in the future
Macroscopic diffusion models for precipitation in crystalline gallium arsenide
Energy Technology Data Exchange (ETDEWEB)
Kimmerle, Sven-Joachim Wolfgang
2009-09-21
Based on a thermodynamically consistent model for precipitation in gallium arsenide crystals including surface tension and bulk stresses by Dreyer and Duderstadt, we propose two different mathematical models to describe the size evolution of liquid droplets in a crystalline solid. The first model treats the diffusion-controlled regime of interface motion, while the second model is concerned with the interface-controlled regime of interface motion. Our models take care of conservation of mass and substance. These models generalise the well-known Mullins- Sekerka model for Ostwald ripening. We concentrate on arsenic-rich liquid spherical droplets in a gallium arsenide crystal. Droplets can shrink or grow with time but the centres of droplets remain fixed. The liquid is assumed to be homogeneous in space. Due to different scales for typical distances between droplets and typical radii of liquid droplets we can derive formally so-called mean field models. For a model in the diffusion-controlled regime we prove this limit by homogenisation techniques under plausible assumptions. These mean field models generalise the Lifshitz-Slyozov-Wagner model, which can be derived from the Mullins-Sekerka model rigorously, and is well understood. Mean field models capture the main properties of our system and are well adapted for numerics and further analysis. We determine possible equilibria and discuss their stability. Numerical evidence suggests in which case which one of the two regimes might be appropriate to the experimental situation. (orig.)
Statistics and dynamics of attractor networks with inter-correlated patterns
Kropff, E.
2007-02-01
In an embodied feature representation view, the semantic memory represents concepts in the brain by the associated activation of the features that describe it, each one of them processed in a differentiated region of the cortex. This system has been modeled with a Potts attractor network. Several studies of feature representation show that the correlation between patterns plays a crucial role in semantic memory. The present work focuses on two aspects of the effect of correlations in attractor networks. In first place, it assesses how a Potts network can store a set of patterns with non-trivial correlations between them. This is done through a simple and biologically plausible modification to the classical learning rule. In second place, it studies the complexity of latching transitions between attractor states, and how this complexity can be controlled.
MODELS OF INSULIN RESISTANCE AND HEART FAILURE
Velez, Mauricio; Kohli, Smita; Sabbah, Hani N.
2013-01-01
The incidence of heart failure (HF) and diabetes mellitus is rapidly increasing and is associated with poor prognosis. In spite of the advances in therapy, HF remains a major health problem with high morbidity and mortality. When HF and diabetes coexist, clinical outcomes are significantly worse. The relationship between these two conditions has been studied in various experimental models. However, the mechanisms for this interrelationship are complex, incompletely understood, and have become a matter of considerable clinical and research interest. There are only few animal models that manifest both HF and diabetes. However, the translation of results from these models to human disease is limited and new models are needed to expand our current understanding of this clinical interaction. In this review, we discuss mechanisms of insulin signaling and insulin resistance, the clinical association between insulin resistance and HF and its proposed pathophysiologic mechanisms. Finally, we discuss available animal models of insulin resistance and HF and propose requirements for future new models. PMID:23456447
Biomass Scenario Model Documentation: Data and References
Energy Technology Data Exchange (ETDEWEB)
Lin, Y.; Newes, E.; Bush, B.; Peterson, S.; Stright, D.
2013-05-01
The Biomass Scenario Model (BSM) is a system dynamics model that represents the entire biomass-to-biofuels supply chain, from feedstock to fuel use. The BSM is a complex model that has been used for extensive analyses; the model and its results can be better understood if input data used for initialization and calibration are well-characterized. It has been carefully validated and calibrated against the available data, with data gaps filled in using expert opinion and internally consistent assumed values. Most of the main data sources that feed into the model are recognized as baseline values by the industry. This report documents data sources and references in Version 2 of the BSM (BSM2), which only contains the ethanol pathway, although subsequent versions of the BSM contain multiple conversion pathways. The BSM2 contains over 12,000 total input values, with 506 distinct variables. Many of the variables are opportunities for the user to define scenarios, while others are simply used to initialize a stock, such as the initial number of biorefineries. However, around 35% of the distinct variables are defined by external sources, such as models or reports. The focus of this report is to provide insight into which sources are most influential in each area of the supply chain.
International Nuclear Information System (INIS)
Laurence, D.
1997-01-01
This paper is an introduction course in modelling turbulent thermohydraulics, aimed at computational fluid dynamics users. No specific knowledge other than the Navier Stokes equations is required beforehand. Chapter I (which those who are not beginners can skip) provides basic ideas on turbulence physics and is taken up in a textbook prepared by the teaching team of the ENPC (Benque, Viollet). Chapter II describes turbulent viscosity type modelling and the 2k-ε two equations model. It provides details of the channel flow case and the boundary conditions. Chapter III describes the 'standard' (R ij -ε) Reynolds tensions transport model and introduces more recent models called 'feasible'. A second paper deals with heat transfer and the effects of gravity, and returns to the Reynolds stress transport model. (author)
2016-01-01
This book provides a thorough introduction to the challenge of applying mathematics in real-world scenarios. Modelling tasks rarely involve well-defined categories, and they often require multidisciplinary input from mathematics, physics, computer sciences, or engineering. In keeping with this spirit of modelling, the book includes a wealth of cross-references between the chapters and frequently points to the real-world context. The book combines classical approaches to modelling with novel areas such as soft computing methods, inverse problems, and model uncertainty. Attention is also paid to the interaction between models, data and the use of mathematical software. The reader will find a broad selection of theoretical tools for practicing industrial mathematics, including the analysis of continuum models, probabilistic and discrete phenomena, and asymptotic and sensitivity analysis.
DEFF Research Database (Denmark)
Larsen, Lars Bjørn; Vesterager, Johan
sharing many of the characteristics of a virtual enterprise. This extended enterprise will have the following characteristics: The extended enterprise is focused on satisfying the current customer requirement so that it has a limited life expectancy, but should be capable of being recreated to deal....... One or more units from beyond the network may complement the extended enterprise. The common reference model for this extended enterprise will utilise GERAM (Generalised Enterprise Reference Architecture and Methodology) to provide an architectural framework for the modelling carried out within......This report provides an overview of the existing models of global manufacturing, describes the required modelling views and associated methods and identifies tools, which can provide support for this modelling activity.The model adopted for global manufacturing is that of an extended enterprise...
DEFF Research Database (Denmark)
Blomhøj, Morten
2004-01-01
modelling, however, can be seen as a practice of teaching that place the relation between real life and mathematics into the centre of teaching and learning mathematics, and this is relevant at all levels. Modelling activities may motivate the learning process and help the learner to establish cognitive......Developing competences for setting up, analysing and criticising mathematical models are normally seen as relevant only from and above upper secondary level. The general belief among teachers is that modelling activities presuppose conceptual understanding of the mathematics involved. Mathematical...... roots for the construction of important mathematical concepts. In addition competences for setting up, analysing and criticising modelling processes and the possible use of models is a formative aim in this own right for mathematics teaching in general education. The paper presents a theoretical...
DEFF Research Database (Denmark)
Bækgaard, Lars
2001-01-01
The purpose of this chapter is to discuss conceptual event modeling within a context of information modeling. Traditionally, information modeling has been concerned with the modeling of a universe of discourse in terms of information structures. However, most interesting universes of discourse...... are dynamic and we present a modeling approach that can be used to model such dynamics. We characterize events as both information objects and change agents (Bækgaard 1997). When viewed as information objects events are phenomena that can be observed and described. For example, borrow events in a library can...... be characterized by their occurrence times and the participating books and borrowers. When we characterize events as information objects we focus on concepts like information structures. When viewed as change agents events are phenomena that trigger change. For example, when borrow event occurs books are moved...
Bottle, Neil
2013-01-01
The Model : making exhibition was curated by Brian Kennedy in collaboration with Allies & Morrison in September 2013. For the London Design Festival, the Model : making exhibition looked at the increased use of new technologies by both craft-makers and architectural model makers. In both practices traditional ways of making by hand are increasingly being combined with the latest technologies of digital imaging, laser cutting, CNC machining and 3D printing. This exhibition focussed on ...
Wenninger, Magnus J
2012-01-01
Well-illustrated, practical approach to creating star-faced spherical forms that can serve as basic structures for geodesic domes. Complete instructions for making models from circular bands of paper with just a ruler and compass. Discusses tessellation, or tiling, and how to make spherical models of the semiregular solids and concludes with a discussion of the relationship of polyhedra to geodesic domes and directions for building models of domes. "". . . very pleasant reading."" - Science. 1979 edition.
Mal de pott révelé par un abcès latéropharyngien chez un pilote ...
African Journals Online (AJOL)
He had surgical removal of C6 which was replaced by iliac prothesis. Medical treatment was based on antituberculosis drugs used during 12 months. After three years of follow up, the out come was favourable with no recurrence and satisfying consolidation. For aeronautic considerations, the patient was declared unable for ...
le mal de pott sous occipital révélé par un abcès rétro pharyngien
African Journals Online (AJOL)
polyarthrite rhumatoïde et la spondylarthrite ankylosante. (2,3). Le traitement de la tuberculose rachidienne repose essentiellement sur la chimiothérapie antituberculeuse d'une durée de 8 à 11 mois et une stabilisation orthopé- dique de la charnière crânio-cervicale (2,3). Le traitement antituberculeux est quadruple ...
Ruiz-Taboada, Arturo; Rodrigo, Isabel Molero
2018-02-01
World societies can often be characterized by their attitude towards elderly and illness. It is well known that most cultures were concerned about those who were not able to produce and take care of themselves. This brings to the development of social processes that involve such individuals within the community, resulting in groups who stick together, and at last, ensuring the survival of the group. The contextualization of many of those social processes might be studied through Physical Anthropology and Paleopathology. This paper presents tomb 05 (T-05) as a new case of probable tuberculosis in Toledo from the medieval maqbara of the Roman Circus that provides new paleoanthropological data to understand the treatment given to sick people in a sparsely studied context.
Modeling Documents with Event Model
Directory of Open Access Journals (Sweden)
Longhui Wang
2015-08-01
Full Text Available Currently deep learning has made great breakthroughs in visual and speech processing, mainly because it draws lessons from the hierarchical mode that brain deals with images and speech. In the field of NLP, a topic model is one of the important ways for modeling documents. Topic models are built on a generative model that clearly does not match the way humans write. In this paper, we propose Event Model, which is unsupervised and based on the language processing mechanism of neurolinguistics, to model documents. In Event Model, documents are descriptions of concrete or abstract events seen, heard, or sensed by people and words are objects in the events. Event Model has two stages: word learning and dimensionality reduction. Word learning is to learn semantics of words based on deep learning. Dimensionality reduction is the process that representing a document as a low dimensional vector by a linear mode that is completely different from topic models. Event Model achieves state-of-the-art results on document retrieval tasks.
Amphibians as animal models for laboratory research in physiology.
Burggren, Warren W; Warburton, Stephen
2007-01-01
The concept of animal models is well honored, and amphibians have played a prominent part in the success of using key species to discover new information about all animals. As animal models, amphibians offer several advantages that include a well-understood basic physiology, a taxonomic diversity well suited to comparative studies, tolerance to temperature and oxygen variation, and a greater similarity to humans than many other currently popular animal models. Amphibians now account for approximately 1/4 to 1/3 of lower vertebrate and invertebrate research, and this proportion is especially true in physiological research, as evident from the high profile of amphibians as animal models in Nobel Prize research. Currently, amphibians play prominent roles in research in the physiology of musculoskeletal, cardiovascular, renal, respiratory, reproductive, and sensory systems. Amphibians are also used extensively in physiological studies aimed at generating new insights in evolutionary biology, especially in the investigation of the evolution of air breathing and terrestriality. Environmental physiology also utilizes amphibians, ranging from studies of cryoprotectants for tissue preservation to physiological reactions to hypergravity and space exploration. Amphibians are also playing a key role in studies of environmental endocrine disruptors that are having disproportionately large effects on amphibian populations and where specific species can serve as sentinel species for environmental pollution. Finally, amphibian genera such as Xenopus, a genus relatively well understood metabolically and physiologically, will continue to contribute increasingly in this new era of systems biology and "X-omics."
Марія Юріївна Блінова
2015-01-01
The article is an attempt to modeling of understanding and sense’s generation processes in different architectural environmental situations of socio-cultural interaction. Methodologically interpretation of the subject sociocultural interaction offered to make from the standpoint of modern social theories, the entity that is the social role, understood as a model of human behavior objectively given social position of the individual in the system of social relations
DEFF Research Database (Denmark)
Højgaard, Tomas; Hansen, Rune
The purpose of this paper is to introduce Didactical Modelling as a research methodology in mathematics education. We compare the methodology with other approaches and argue that Didactical Modelling has its own specificity. We discuss the methodological “why” and explain why we find it useful...... to construct this approach in mathematics education research....
Flores, J.; Kiss, S.; Cano, P.; Nijholt, Antinus; Zwiers, Jakob
2003-01-01
We concentrate our efforts on building virtual modelling environments where the content creator uses controls (widgets) as an interactive adjustment modality for the properties of the edited objects. Besides the advantage of being an on-line modelling approach (visualised just like any other on-line
DEFF Research Database (Denmark)
Gøtze, Jens Peter; Krentz, Andrew
2014-01-01
In this issue of Cardiovascular Endocrinology, we are proud to present a broad and dedicated spectrum of reviews on animal models in cardiovascular disease. The reviews cover most aspects of animal models in science from basic differences and similarities between small animals and the human...
Poortman, Sybilla; Sloep, Peter
2006-01-01
Educational models describes a case study on a complex learning object. Possibilities are investigated for using this learning object, which is based on a particular educational model, outside of its original context. Furthermore, this study provides advice that might lead to an increase in
Oh, Phil Seok; Oh, Sung Jin
2013-01-01
Modeling in science has been studied by education researchers for decades and is now being applied broadly in school. It is among the scientific practices featured in the "Next Generation Science Standards" ("NGSS") (Achieve Inc. 2013). This article describes modeling activities in an extracurricular science club in a high…
Jongerden, M.R.; Haverkort, Boudewijn R.H.M.
2008-01-01
The use of mobile devices is often limited by the capacity of the employed batteries. The battery lifetime determines how long one can use a device. Battery modeling can help to predict, and possibly extend this lifetime. Many different battery models have been developed over the years. However,
International Nuclear Information System (INIS)
V. Chipman
2002-01-01
The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their postclosure analyses
DEFF Research Database (Denmark)
Kindler, Ekkart
2009-01-01
, these notations have been extended in order to increase expressiveness and to be more competitive. This resulted in an increasing number of notations and formalisms for modelling business processes and in an increase of the different modelling constructs provided by modelling notations, which makes it difficult......There are many different notations and formalisms for modelling business processes and workflows. These notations and formalisms have been introduced with different purposes and objectives. Later, influenced by other notations, comparisons with other tools, or by standardization efforts...... to compare modelling notations and to make transformations between them. One of the reasons is that, in each notation, the new concepts are introduced in a different way by extending the already existing constructs. In this chapter, we go the opposite direction: We show that it is possible to add most...
Energy Technology Data Exchange (ETDEWEB)
Veronica J. Rutledge
2013-01-01
The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to
Energy-dissipation-model for metallurgical multi-phase-systems
Energy Technology Data Exchange (ETDEWEB)
Mavrommatis, K.T. [Rheinisch-Westfaelische Technische Hochschule Aachen, Aachen (Germany)
1996-12-31
Entropy production in real processes is directly associated with the dissipation of energy. Both are potential measures for the proceed of irreversible processes taking place in metallurgical systems. Many of these processes in multi-phase-systems could then be modelled on the basis of the energy-dissipation associated with. As this entity can often be estimated using very simple assumptions from first principles, the evolution of an overall measure of systems behaviour can be studied constructing an energy-dissipation -based model of the system. In this work a formulation of this concept, the Energy-Dissipation-Model (EDM), for metallurgical multi-phase-systems is given. Special examples are studied to illustrate the concept, and benefits as well as the range of validity are shown. This concept might be understood as complement to usual CFD-modelling of complex systems on a more abstract level but reproducing essential attributes of complex metallurgical systems. (author)
Laszlo Tisza and the two-fluid model of superfluidity
Balibar, Sébastien
2017-11-01
The "two-fluid model" of superfluidity was first introduced by Laszlo Tisza in 1938. On that year, Tisza published the principles of his model as a brief note in Nature and two articles in French in the Comptes rendus de l'Académie des sciences, followed in 1940 by two other articles in French in the Journal de physique et le Radium. In 1941, the two-fluid model was reformulated by Lev Landau on a more rigorous basis. Successive experiments confirmed the revolutionary idea introduced by Tisza: superfluid helium is indeed a surprising mixture of two fluids with independent velocity fields. His prediction of the existence of heat waves, a consequence of his model, was also confirmed. Then, it took several decades for the superfluidity of liquid helium to be fully understood.
The Aalborg Model and management by objectives and resources
DEFF Research Database (Denmark)
Qvist, Palle; Spliid, Claus Monrad
2010-01-01
it is observed that the allocation of resources to the students in the Aalborg Model differs to the allocation in a more conventional model often used in HEIs. Students in the Aalborg Model are supported with resources which makes a difference. This article focuses on the introduction of project management...... Model is successful has never been subject to a scientific study. An educational program in an HEI (Higher Education Institution) can be seen and understood as a system managed by objectives (MBO)5 within a given resource frame and based on an “agreement” between the student and the study board....... The student must achieve the objectives decided by the study board and that achievement is then documented with an exam. The study board supports the student with resources which helps them to fulfill the objectives. When the resources are divided into human, material and methodological resources...
The Zebra Fish IBD Model Assessed By Novel Probe Based TagMan Assays
DEFF Research Database (Denmark)
Kania, Per Walter; Buchmann, Kurt; Haarder, Simon
2015-01-01
or oxazolone. Samples (intestine) were taken for realtime quantitative PCR. An array of TagMan assays was designed using Primer3Plus. All assays were checked by melting curve analysis in SYBR Green and by 3% agarose gel electrophoresis in order to ensure specificity. The assays include transcription factors....... The etiology is complex and not fully understood. The zebra fish (Danio rerio) may serve as a model for elucidation of these inadequately understood mechanisms. Two hapten-mediated IBD-like models in zebra fish have been generated by using the chemicals oxazolone and TNBS dissolved in ethanol. From mammalian...... and cytokines of different subsets of T-cell populations, cell markers etc. The 2-Ct method was used to estimate the fold change of gene expression relative to the H2O instilled group. Only results with p>0.05 and regulations >2 are discussed. The solvent ethanol, necessary for dissolving oxazolone and TNBS...
MacLeod, Miles; Nersessian, Nancy J
2018-01-08
Modern integrative systems biology defines itself by the complexity of the problems it takes on through computational modeling and simulation. However in integrative systems biology computers do not solve problems alone. Problem solving depends as ever on human cognitive resources. Current philosophical accounts hint at their importance, but it remains to be understood what roles human cognition plays in computational modeling. In this paper we focus on practices through which modelers in systems biology use computational simulation and other tools to handle the cognitive complexity of their modeling problems so as to be able to make significant contributions to understanding, intervening in, and controlling complex biological systems. We thus show how cognition, especially processes of simulative mental modeling, is implicated centrally in processes of model-building. At the same time we suggest how the representational choices of what to model in systems biology are limited or constrained as a result. Such constraints help us both understand and rationalize the restricted form that problem solving takes in the field and why its results do not always measure up to expectations.
Image-based flow modeling in a two-chamber model of the left heart
Vedula, Vijay; Seo, Jung-Hee; Shoele, Kourosh; George, Richard; Younes, Laurent; Mittal, Rajat
2014-11-01
Computational modeling of cardiac flows has been an active topic of discussion over the past decade. Modeling approaches have been consistently improved by inclusion of additional complexities and these continue to provide new insights into the dynamics of blood flow in health and disease. The vast majority of cardiac models have been single-chamber models, which have typically focused on the left or right ventricles, and in these models, the atria are modeled in highly simplistic ways. However, the left atrium acts as a mixing chamber and works with the left ventricle in a highly coordinated fashion to move the blood from the pulmonary veins to the aorta. The flow dynamics associated with this two-chamber interaction is not well understood. In addition, the flow in the left atrium has by itself significant clinical implications and our understanding of this is far less than that of the left ventricle. In the current study, we use 4D CT to create a physiological heart model that is functionally normal and use an experimentally validated sharp-interface immersed boundary flow solver to explore the atrio-ventricular interaction and develop insights into some of the questions addressed above. This research is supported by the U.S. National Science Foundation through NSF Grants IOS-1124804 and IIS-1344772. Computational resources are provided in part through the NSF XSEDE grants TG-CTS100002 and TG-CTS130064.
Directory of Open Access Journals (Sweden)
Dario Cuevas Rivera
2015-10-01
Full Text Available The olfactory information that is received by the insect brain is encoded in the form of spatiotemporal patterns in the projection neurons of the antennal lobe. These dense and overlapping patterns are transformed into a sparse code in Kenyon cells in the mushroom body. Although it is clear that this sparse code is the basis for rapid categorization of odors, it is yet unclear how the sparse code in Kenyon cells is computed and what information it represents. Here we show that this computation can be modeled by sequential firing rate patterns using Lotka-Volterra equations and Bayesian online inference. This new model can be understood as an 'intelligent coincidence detector', which robustly and dynamically encodes the presence of specific odor features. We found that the model is able to qualitatively reproduce experimentally observed activity in both the projection neurons and the Kenyon cells. In particular, the model explains mechanistically how sparse activity in the Kenyon cells arises from the dense code in the projection neurons. The odor classification performance of the model proved to be robust against noise and time jitter in the observed input sequences. As in recent experimental results, we found that recognition of an odor happened very early during stimulus presentation in the model. Critically, by using the model, we found surprising but simple computational explanations for several experimental phenomena.
International Nuclear Information System (INIS)
Hoel, D.G.
1992-01-01
Multistage models are used to both describe the biological steps in developing a cancer and as a mathematical description of the relationship of exposure to tumor incidence. With the rapid development of molecular biology the stages of tumor development are becoming understood. Specifically, the effect and role of proto-oncogenes and suppressor genes are exciting developments in the field of carcinogenesis. Mathematically the field has moved from the original Armitage-Doll multistage model to the more current cell kinetic models. These latter models attempt to describe both the rate of cell mutation and the birth-death process involved in clonal expansion. This then allows modeling of both initiation and promotion or cellular proliferation. The field of radiation carcinogenesis has a considerable body of data and knowledge. Unfortunately, relatively little work has been done with the cell kinetic models as to estimation of tumor incidence. This may be due to the newness of kinetic models in general. The field holds promise and it is essential if we are to develop better human risk estimates from exposure to ionizing radiation. (author)
Gilthorpe, M S; Dahly, D L; Tu, Y K; Kubzansky, L D; Goodman, E
2014-06-01
Lifecourse trajectories of clinical or anthropological attributes are useful for identifying how our early-life experiences influence later-life morbidity and mortality. Researchers often use growth mixture models (GMMs) to estimate such phenomena. It is common to place constrains on the random part of the GMM to improve parsimony or to aid convergence, but this can lead to an autoregressive structure that distorts the nature of the mixtures and subsequent model interpretation. This is especially true if changes in the outcome within individuals are gradual compared with the magnitude of differences between individuals. This is not widely appreciated, nor is its impact well understood. Using repeat measures of body mass index (BMI) for 1528 US adolescents, we estimated GMMs that required variance-covariance constraints to attain convergence. We contrasted constrained models with and without an autocorrelation structure to assess the impact this had on the ideal number of latent classes, their size and composition. We also contrasted model options using simulations. When the GMM variance-covariance structure was constrained, a within-class autocorrelation structure emerged. When not modelled explicitly, this led to poorer model fit and models that differed substantially in the ideal number of latent classes, as well as class size and composition. Failure to carefully consider the random structure of data within a GMM framework may lead to erroneous model inferences, especially for outcomes with greater within-person than between-person homogeneity, such as BMI. It is crucial to reflect on the underlying data generation processes when building such models.
Brock, David
2009-01-01
Despite student interest, the heart is often a poorly understood topic in biology. To help students understand this vital organ's physiology, the author created this investigation activity involving the mammalian heart and its role in the circulatory system. Students design, build, and demonstrate working artificial "hearts" to exhibit what they…
Dynamic Characteristics and Models
DEFF Research Database (Denmark)
Pedersen, Lars
2007-01-01
, sitting or standing posture, and that these persons influence the dynamic characteristics of the floor (floor frequency and floor damping) is demonstrated in the paper. The mechanism of the dynamic interaction between the floor mass and the mass of stationary persons is generally not well understood...
McMEEKIN, Thomas A; Ross, Thomas
1996-12-01
The concept of predictive microbiology has developed rapidly through the initial phases of experimental design and model development and the subsequent phase of model validation. A fully validated model represents a general rule which may be brought to bear on particular cases. For some microorganism/food combinations, sufficient confidence now exists to indicate substantial benefits to the food industry from use of predictive models. Several types of devices are available to monitor and record environmental conditions (particularly temperature). These "environmental histories" can be interpreted, using predictive models, in terms of microbial proliferation. The current challenge is to provide systems for the collection and interpretation of environmental information which combine ease of use, reliability, and security, providing the industrial user with the ability to make informed and precise decisions regarding the quality and safety of foods. Many specific applications for predictive modeling can be developed from a basis of understanding the inherent qualities of a fully validated model. These include increased precision and confidence in predictions based on accumulation of quantitative data, objective and rapid assessment of the effect of environmental conditions on microbial proliferation, and flexibility in monitoring the relative contribution of component parts of processing, distribution, and storage systems for assurance of shelf life and safety.
From Reactor to Rheology in LDPE Modeling
International Nuclear Information System (INIS)
Read, Daniel J.; Das, Chinmay; Auhl, Dietmar; McLeish, Tom C. B.; Kapnistos, Michael; Doelder, Jaap den; Vittorias, Iakovos
2008-01-01
In recent years the association between molecular structure and linear rheology has been established and well-understood through the tube concept and its extensions for well-characterized materials (e.g. McLeish, Adv. Phys. 2002). However, for industrial branched polymeric material at processing conditions this piece of information is missing. A large number of phenomenological models have been developed to describe the nonlinear response of polymers. But none of these models takes into account the underlying molecular structure, leading to a fitting procedure with arbitrary fitting parameters. The goal of applied molecular rheology is a predictive scheme that runs in its entirety from the molecular structure from the reactor to the non-linear rheology of the resin. In our approach, we use a model for the industrial reactor to explicitly generate the molecular structure ensemble of LDPE's, (Tobita, J. Polym. Sci. B 2001), which are consistent with the analytical information. We calculate the linear rheology of the LDPE ensemble with the use of a tube model for branched polymers (Das et al., J. Rheol. 2006). We then, separate the contribution of the stress decay to a large number of pompom modes (McLeish et al., J. Rheol. 1998 and Inkson et al., J. Rheol. 1999) with the stretch time and the priority variables corresponding to the actual ensemble of molecules involved. This multimode pompom model allows us to predict the nonlinear properties without any fitting parameter. We present and analyze our results in comparison with experimental data on industrial materials
COST EVALUATION: STRUCTURING OF A MODEL
Directory of Open Access Journals (Sweden)
Altair Borgert
2010-07-01
Full Text Available This study’s purpose was to build a cost evaluation model with views to providing managers and decision makers with information to support the resolution process. From a strategic positioning standpoint, the pondering of variables involved in a cost system is key to corporate success. To this extent, overall consideration was given to contemporary cost approaches – the Theory of Constraints, Balanced Scorecard and Strategic Cost Management – and cost evaluation was analysed. It is understood that this is a relevant factor and that it ought to be taken into account when taking corporate decisions. Furthermore, considering that the MCDA methodology is recommended for the construction of cost evaluation models, some of it’s aspects were emphasised. Finally, the construction of the model itself complements this study. At this stage, cost variables for the three approaches were compiled. Thus, a repository of several variables was created and its use and combination is subject to the interests and needs of those responsible for it’s structuring within corporations. In so proceeding, the number of variables to ponder follows the complexity of the issue and of the required solution. Once meetings held with the study groups, the model was built, revised and reconstructed until consensus was reached. Thereafter, the conclusion was that a cost evaluation model, when built according to the characteristics and needs of each organization, might become the groundwork ensuring accounting becomes increasingly useful at companies. Key-words: Cost evaluation. Cost measurement. Strategy.
Deterministic geologic processes and stochastic modeling
International Nuclear Information System (INIS)
Rautman, C.A.; Flint, A.L.
1991-01-01
Recent outcrop sampling at Yucca Mountain, Nevada, has produced significant new information regarding the distribution of physical properties at the site of a potential high-level nuclear waste repository. Consideration of the spatial distribution of measured values and geostatistical measures of spatial variability indicates that there are a number of widespread deterministic geologic features at the site that have important implications for numerical modeling of such performance aspects as ground water flow and radionuclide transport. These deterministic features have their origin in the complex, yet logical, interplay of a number of deterministic geologic processes, including magmatic evolution; volcanic eruption, transport, and emplacement; post-emplacement cooling and alteration; and late-stage (diagenetic) alteration. Because of geologic processes responsible for formation of Yucca Mountain are relatively well understood and operate on a more-or-less regional scale, understanding of these processes can be used in modeling the physical properties and performance of the site. Information reflecting these deterministic geologic processes may be incorporated into the modeling program explicitly, using geostatistical concepts such as soft information, or implicitly, through the adoption of a particular approach to modeling. It is unlikely that any single representation of physical properties at the site will be suitable for all modeling purposes. Instead, the same underlying physical reality will need to be described many times, each in a manner conducive to assessing specific performance issues
Lin, Tony; Erfan, Sasan
2016-01-01
Mathematical modeling is an open-ended research subject where no definite answers exist for any problem. Math modeling enables thinking outside the box to connect different fields of studies together including statistics, algebra, calculus, matrices, programming and scientific writing. As an integral part of society, it is the foundation for many…
Modeling complexes of modeled proteins.
Anishchenko, Ivan; Kundrotas, Petras J; Vakser, Ilya A
2017-03-01
Structural characterization of proteins is essential for understanding life processes at the molecular level. However, only a fraction of known proteins have experimentally determined structures. This fraction is even smaller for protein-protein complexes. Thus, structural modeling of protein-protein interactions (docking) primarily has to rely on modeled structures of the individual proteins, which typically are less accurate than the experimentally determined ones. Such "double" modeling is the Grand Challenge of structural reconstruction of the interactome. Yet it remains so far largely untested in a systematic way. We present a comprehensive validation of template-based and free docking on a set of 165 complexes, where each protein model has six levels of structural accuracy, from 1 to 6 Å C α RMSD. Many template-based docking predictions fall into acceptable quality category, according to the CAPRI criteria, even for highly inaccurate proteins (5-6 Å RMSD), although the number of such models (and, consequently, the docking success rate) drops significantly for models with RMSD > 4 Å. The results show that the existing docking methodologies can be successfully applied to protein models with a broad range of structural accuracy, and the template-based docking is much less sensitive to inaccuracies of protein models than the free docking. Proteins 2017; 85:470-478. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.
DEFF Research Database (Denmark)
Pedersen, Mogens Jin; Stritch, Justin Michael
2018-01-01
contributes knowledge about a social phenomenon and advances knowledge in the public administration and management literatures. The RNICE model provides a vehicle for researchers who seek to evaluate or demonstrate the value of a replication study systematically. We illustrate the practical application...... research. Recently, scholars have issued calls for more replication, but academic reflections on when replication adds substantive value to public administration and management research are needed. This concise article presents a conceptual model, RNICE, for assessing when and how a replication study...... of the model using two previously published replication studies as examples....
Blacher, René
2010-01-01
Ce rapport complete les deux rapports précédents et apporte une explication plus simple aux résultats précédents : à savoir la preuve que les suites obtenues sont aléatoires.; In previous reports, we have show how to transform a text $y_n$ in a random sequence by using functions of Fibonacci $T_q$. Now, in this report, we obtain a clearer result by proving that $T_q(y_n)$ has the IID model as correct model. But, it is necessary to define correctly a correct model. Then, we study also this pro...
Schaffner, Ellen; Philipp, Maik; Schiefele, Ulrich
2016-01-01
Previous research has demonstrated positive relations between intrinsic reading motivation and reading competence. However, the causal direction of these relations and the moderating role of relevant background variables (e.g., students' achievement level) are not well understood. In the present study, a cross-lagged panel model was applied to…
Reflexion on linear regression trip production modelling method for ensuring good model quality
Suprayitno, Hitapriya; Ratnasari, Vita
2017-11-01
Transport Modelling is important. For certain cases, the conventional model still has to be used, in which having a good trip production model is capital. A good model can only be obtained from a good sample. Two of the basic principles of a good sampling is having a sample capable to represent the population characteristics and capable to produce an acceptable error at a certain confidence level. It seems that this principle is not yet quite understood and used in trip production modeling. Therefore, investigating the Trip Production Modelling practice in Indonesia and try to formulate a better modeling method for ensuring the Model Quality is necessary. This research result is presented as follows. Statistics knows a method to calculate span of prediction value at a certain confidence level for linear regression, which is called Confidence Interval of Predicted Value. The common modeling practice uses R2 as the principal quality measure, the sampling practice varies and not always conform to the sampling principles. An experiment indicates that small sample is already capable to give excellent R2 value and sample composition can significantly change the model. Hence, good R2 value, in fact, does not always mean good model quality. These lead to three basic ideas for ensuring good model quality, i.e. reformulating quality measure, calculation procedure, and sampling method. A quality measure is defined as having a good R2 value and a good Confidence Interval of Predicted Value. Calculation procedure must incorporate statistical calculation method and appropriate statistical tests needed. A good sampling method must incorporate random well distributed stratified sampling with a certain minimum number of samples. These three ideas need to be more developed and tested.
Canine pyometra: a model for the analysis of serum CXCL8 in inflammation
HAAS, Melanie; KAUP, Franz-Josef; NEUMANN, Stephan
2015-01-01
Interleukin-8 (IL-8 or CXCL8) is a highly selective pro-inflammatory chemokine, that is elevated in sera of humans and animals with various inflammatory diseases. CXCL8 is possibly involved in uncontrolled inflammation and the development of a systemic inflammatory response syndrome (SIRS) and sepsis. Nevertheless, its behavior and precise properties in the course of inflammation are not fully understood. Thus, we used naturally occurring canine pyometra as a model of inflammation, in order t...
Pastuszak, Jakub; Waclaw, Bartlomiej
2017-01-01
Conjugation is a process in which bacteria exchange DNA through a physical connection (conjugative junction) between mating cells. Despite its significance for processes such as the spread of antibiotic resistance, the role of physical forces in conjugation is poorly understood. Here we use computer models to show that the conjugative junction not only serves as a link to transfer the DNA but it also mechanically stabilises the mating pair which significantly increases the conjugation rate. W...
New Lewis Structures through the application of the Hypertorus Electron Model
Omar Yepez
2010-01-01
The hypertorus electron model is applied to the chemical bond. As a consequence, the bond topology can be determined. A linear correlation is found between the normalized bond area and the bond energy. The normalization number is a whole number. This number is interpreted as the Lewis's electron pair. A new electron distribution in the molecule follows. This discovery prompts to review the chemical bond, as it is understood in chemistry and physics.
Filipe, Jo?o A. N; Riley, Eleanor M; Drakeley, Christopher J; Sutherland, Colin J; Ghani, Azra C
2007-01-01
Acquisition of partially protective immunity is a dominant feature of the epidemiology of malaria among exposed individuals. The processes that determine the acquisition of immunity to clinical disease and to asymptomatic carriage of malaria parasites are poorly understood, in part because of a lack of validated immunological markers of protection. Using mathematical models, we seek to better understand the processes that determine observed epidemiological patterns. We have developed an age-s...
2015-06-30
discriminants in this region based on P/Lg amplitude ratios will best separate earthquake and explosion populations at frequencies 2 Hz and higher...of very high frequency coda modeling Differences in source properties between a theoretically ideal earthquake and explosion are well understood...simulations of earthquakes and explosions at a number of frequencies and a variety of parameters. Approved for public release; distribution is unlimited. 17
Martinez, Neo D.; Tonin, Perrine; Bauer, Barbara; Rael, Rosalyn C.; Singh, Rahul; Yoon, Sangyuk; Yoon, Ilmi; Dunne, Jennifer A.
2012-01-01
Understanding ecological complexity has stymied scientists for decades. Recent elucidation of the famously coined "devious strategies for stability in enduring natural systems" has opened up a new field of computational analyses of complex ecological networks where the nonlinear dynamics of many interacting species can be more realistically mod-eled and understood. Here, we describe the first extension of this field to include coupled human-natural systems. This extension elucidates new strat...
Exact solution of gyration radius of individual's trajectory for a simplified human mobility model
Yan, Xiao-Yong; Han, Xiao-Pu; Zhou, Tao; Wang, Bing-Hong
2010-01-01
Gyration radius of individual's trajectory plays a key role in quantifying human mobility patterns. Of particular interests, empirical analyses suggest that the growth of gyration radius is slow versus time except the very early stage and may eventually arrive to a steady value. However, up to now, the underlying mechanism leading to such a possibly steady value has not been well understood. In this Letter, we propose a simplified human mobility model to simulate individual's daily travel wit...
Food Consumption Pattern in Sri Lanka: An Application of the LA/AIDS Model
Pradhan, Jadunath; Tudawe, Indra
1997-01-01
The value of parameter estimates and demand elasticities of major food items is well understood in the context of a country's food and nutrition policy, basic needs concerns and its international trade decisions. Unlike the single equation approach in the previous demand studies in Sri Lanka, in this paper the linear approximation version of the almost ideal demand system (LA/AIDS) model is implemented using the 1985 and 1990 household survey data to derive theoretically consistent demand est...
Validation of High-Energy Nuclear Models : State-of-the-Art and Perspectives
Leray, Sylvie; Boudard, Alain; Cugnon, Joseph; David, J.-C.; Ducret, J.-E.; Le Gentil, E.; Pietri, S.; Volant, Claude
2006-01-01
The state-of-the-art regarding the predicting capabilities of some of the physics models available in MCNPX for Accelerator-Driven System design is discussed. The identified remaining deficiencies, which originate either from a lack of experimental data or from not well understood physics mechanisms, are stressed. To solve these problems, more constraining experiments are now needed to allow a deeper understanding of the reaction mechanisms. (c) 2006 Elsevier B.V. All rights reserved. Peer...
MMPs regulate both development and immunity in the Tribolium model insect
Knorr, E.; Schmidtberg, H.; Vilcinskas, A.; Altincicek, B.
2009-01-01
BACKGROUND: Matrix metalloproteinases (MMPs) are evolutionarily conserved and multifunctional effector molecules in development and homeostasis. In spite of previous, intensive investigation in vitro and in cell culture, their pleiotrophic functions in vivo are still not well understood. METHODOLOGY/PRINCIPAL FINDINGS: We show that the genetically amenable beetle Tribolium castaneum represents a feasible model organism to explore MMP functions in vivo. We silenced expression of three insect-t...
National Oceanic and Atmospheric Administration, Department of Commerce — Computer simulations of past climate. Variables provided as model output are described by parameter keyword. In some cases the parameter keywords are a subset of all...
Regardt, Olle; Rönnbäck, Lars; Bergholtz, Maria; Johannesson, Paul; Wohed, Petia
Maintaining and evolving data warehouses is a complex, error prone, and time consuming activity. The main reason for this state of affairs is that the environment of a data warehouse is in constant change, while the warehouse itself needs to provide a stable and consistent interface to information spanning extended periods of time. In this paper, we propose a modeling technique for data warehousing, called anchor modeling, that offers non-destructive extensibility mechanisms, thereby enabling robust and flexible management of changes in source systems. A key benefit of anchor modeling is that changes in a data warehouse environment only require extensions, not modifications, to the data warehouse. This ensures that existing data warehouse applications will remain unaffected by the evolution of the data warehouse, i.e. existing views and functions will not have to be modified as a result of changes in the warehouse model.
EPA's modeling community is working to gain insights into certain parts of a physical, biological, economic, or social system by conducting environmental assessments for Agency decision making to complex environmental issues.
International Nuclear Information System (INIS)
Rosner, J.L.
1981-01-01
This paper invites experimenters to consider the wide variety of tests suggested by the new aspects of quark models since the discovery of charm and beauty, and nonrelativistic models. Colors and flavours are counted and combined into hadrons. The current quark zoo is summarized. Models and theoretical background are studied under: qualitative QCD: strings and bags, potential models, relativistic effects, electromagnetic transitions, gluon emissions, and single quark transition descriptions. Hadrons containing quarks known before 1974 (i.e. that can be made of ''light'' quarks u, d, and s) are treated in Section III, while those containing charmed quarks and beauty (b) quarks are discussed in Section IV. Unfolding the properties of the sixth quark from information on its hadrons is seen as a future application of the methods used in this study
Hodges, Wilfrid
1993-01-01
An up-to-date and integrated introduction to model theory, designed to be used for graduate courses (for students who are familiar with first-order logic), and as a reference for more experienced logicians and mathematicians.
Digital Repository Service at National Institute of Oceanography (India)
Unnikrishnan, A.S.; Manoj, N.T.
developed most of the above models. This is a good approximation to simulate horizontal distribution of active and passive variables. The future challenge lies in developing capability to simulate the distribution in the vertical....
International Nuclear Information System (INIS)
Peccei, R.D.
If quarks and leptons are composite, it should be possible eventually to calculate their mass spectrum and understand the reasons for the observed family replications, questions which lie beyond the standard model. Alas, all experimental evidence to date points towards quark and lepton elemenarity with the typical momentum scale Λsub(comp), beyond which effects of inner structure may be seen, probably being greater than ITeV. One supersymmetric preon model explained provides a new dynamical alternative for obtaining light fermions which is that these states are quasi Goldstone fermions. This, and similar models are discussed. Although quasi Goldstone fermions provide an answer to the 0sup(th)-order question of composite models the questions of how masses and families are generated remain unanswered. (U.K.)
A coordination chemistry approach for modeling trace element adsorption
International Nuclear Information System (INIS)
Bourg, A.C.M.
1986-01-01
The traditional distribution coefficient, Kd, is highly dependent on the water chemistry and the surface properties of the geological system being studied and is therefore quite inappropriate for use in predictive models. Adsorption, one of the many processes included in Kd values, is described here using a coordination chemistry approach. The concept of adsorption of cationic trace elements by solid hydrous oxides can be applied to natural solids. The adsorption process is thus understood in terms of a classical complexation leading to the formation of surface (heterogeneous) ligands. Applications of this concept to some freshwater, estuarine and marine environments are discussed. (author)
Mathematical Modeling and Dimension Reduction in Dynamical Systems
DEFF Research Database (Denmark)
Elmegård, Michael
Processes that change in time are in mathematics typically described by differential equations. These may be applied to model everything from weather forecasting, brain patterns, reaction kinetics, water waves, finance, social dynamics, structural dynamics and electrodynamics to name only a few....... These systems are generically nonlinear and the studies of them often become enormously complex. The framework in which such systems are best understood is via the theory of dynamical systems, where the critical behavior is systematically analyzed by performing bifurcation theory. In that context the current...
Congenital tracheal defects: embryonic development and animal models
Directory of Open Access Journals (Sweden)
Zenab Arooj Sher
2016-03-01
Full Text Available Tracheal anomalies are potentially catastrophic congenital defects. As a newborn begins to breathe, the trachea needs to maintain an appropriate balance of elasticity and rigidity. If the tracheal cartilages are disorganized or structurally weak, the airways can collapse, obstructing breathing. Cartilage rings that are too small or too rigid can also obstruct breathing. These anomalies are frequently associated with craniofacial syndromes, and, despite the importance, are poorly understood. In this review, we summarize the spectrum of pathological phenotypes of the trachea and correlate them with the molecular events uncovered in mouse models.
Reactor burning calculations for a model reversed field pattern
International Nuclear Information System (INIS)
Yeung, B.C.; Long, J.W.; Newton, A.A.
1976-01-01
An outline pinch reactor scheme and a study of electrical engineering problems for cyclic operation has been further developed and a comparison of physics aspects and capital cost made with Tokamak which has many similar features. Since the properties of reversed field pinches (RFP) are now better understood more detailed studies have been made and first results of burn calculations given. Results of the burn calculations are summarised. These are based on a D-T burning model used for Tokamak with changes appropriate for RFP. (U.K.)
Skaaret, Eimund
Calculation procedures, used in the design of ventilating systems, which are especially suited for displacement ventilation in addition to linking it to mixing ventilation, are addressed. The two zone flow model is considered and the steady state and transient solutions are addressed. Different methods of supplying air are discussed, and different types of air flow are considered: piston flow, plane flow and radial flow. An evaluation model for ventilation systems is presented.
DEFF Research Database (Denmark)
Lasrado, Lester Allan; Vatrapu, Ravi
2016-01-01
effects, unicausal reduction, and case specificity. Based on the developments in set theoretical thinking in social sciences and employing methods like Qualitative Comparative Analysis (QCA), Necessary Condition Analysis (NCA), and set visualization techniques, in this position paper, we propose...... and demonstrate a new approach to maturity models in the domain of Information Systems. This position paper describes the set-theoretical approach to maturity models, presents current results and outlines future research work....
Mathematical Modeling of the Origins of Life
Pohorille, Andrew
2006-01-01
The emergence of early metabolism - a network of catalyzed chemical reactions that supported self-maintenance, growth, reproduction and evolution of the ancestors of contemporary cells (protocells) was a critical, but still very poorly understood step on the path from inanimate to animate matter. Here, it is proposed and tested through mathematical modeling of biochemically plausible systems that the emergence of metabolism and its initial evolution towards higher complexity preceded the emergence of a genome. Even though the formation of protocellular metabolism was driven by non-genomic, highly stochastic processes the outcome was largely deterministic, strongly constrained by laws of chemistry. It is shown that such concepts as speciation and fitness to the environment, developed in the context of genomic evolution, also held in the absence of a genome.
Non-linear rheology of layered systems-a phase model approach
International Nuclear Information System (INIS)
Yoshino, Hajime; Matsukawa, Hiroshi; Yukawa, Satoshi; Kawamura, Hikaru
2007-01-01
We study non-linear rheology of a simple theoretical model developed to mimic layered systems such as lamellar structures under shear. In the present work we study a 2-dimensional version of the model which exhibits a Kosterlitz-Thouless transition in equilibrium at a critical temperature T c . While the system behaves as Newtonain fluid at high temperatures T > T c , it exhibits shear thinning at low temperatures T c . The non-linear rheology in the present model is understood as due to motions of edge dislocations and resembles the non-linear transport phenomena in superconductors by vortex motions
The Birth of Model Theory Lowenheim's Theorem in the Frame of the Theory of Relatives
Badesa, Calixto
2008-01-01
Löwenheim's theorem reflects a critical point in the history of mathematical logic, for it marks the birth of model theory--that is, the part of logic that concerns the relationship between formal theories and their models. However, while the original proofs of other, comparably significant theorems are well understood, this is not the case with Löwenheim's theorem. For example, the very result that scholars attribute to Löwenheim today is not the one that Skolem--a logician raised in the algebraic tradition, like Löwenheim--appears to have attributed to him. In The Birth of Model Theory, Cali
A Combined Electro-Thermal Breakdown Model for Oil-Impregnated Paper
Directory of Open Access Journals (Sweden)
Meng Huang
2017-12-01
Full Text Available The breakdown property of oil-impregnated paper is a key factor for converter transformer design and operation, but it is not well understood. In this paper, breakdown voltages of oil-impregnated paper were measured at different temperatures. The results showed that with the increase of temperature, electrical, electro-thermal and thermal breakdown occurred successively. An electro-thermal breakdown model was proposed based on the heat equilibrium and space charge transport, and negative differential mobility was introduced to the model. It was shown that carrier mobility determined whether it was electrical or thermal breakdown, and the model can effectively explain the temperature-dependent breakdown.
Design of laser-generated shockwave experiments. An approach using analytic models
International Nuclear Information System (INIS)
Lee, Y.T.; Trainor, R.J.
1980-01-01
Two of the target-physics phenomena which must be understood before a clean experiment can be confidently performed are preheating due to suprathermal electrons and shock decay due to a shock-rarefaction interaction. Simple analytic models are described for these two processes and the predictions of these models are compared with those of the LASNEX fluid physics code. We have approached this work not with the view of surpassing or even approaching the reliability of the code calculations, but rather with the aim of providing simple models which may be used for quick parameter-sensitivity evaluations, while providing physical insight into the problems
Cancer metabolism: a modeling perspective
Directory of Open Access Journals (Sweden)
Pouyan eGhaffari Nouran
2015-12-01
Full Text Available Tumor cells alter their metabolism to maintain unregulated cellular proliferation and survival, but this transformation leaves them reliant on constant supply of nutrients and energy. In addition to the widely studied dysregulated glucose metabolism to fuel tumor cell growth, accumulating evidences suggest that utilization of amino acids and lipids contributes significantly to cancer cell metabolism. Also recent progresses in our understanding of carcinogenesis have revealed that cancer is a complex disease and cannot be understood through simple investigation of genetic mutations of cancerous cells. Cancer cells present in complex tumor tissues communicate with the surrounding microenvironment and develop traits which promote their growth, survival and metastasis. Decoding the full scope and targeting dysregulated metabolic pathways that support neoplastic transformations and their preservation requires both the advancement of experimental technologies for more comprehensive measurement of omics as well as the advancement of robust computational methods for accurate analysis of the generated data. Here, we review cancer-associated reprogramming of metabolism and highlight the capability of genome-scale metabolic modeling approaches in perceiving a system-level perspective of cancer metabolism and in detecting novel selective drug targets
Accelerated life models modeling and statistical analysis
Bagdonavicius, Vilijandas
2001-01-01
Failure Time DistributionsIntroductionParametric Classes of Failure Time DistributionsAccelerated Life ModelsIntroductionGeneralized Sedyakin's ModelAccelerated Failure Time ModelProportional Hazards ModelGeneralized Proportional Hazards ModelsGeneralized Additive and Additive-Multiplicative Hazards ModelsChanging Shape and Scale ModelsGeneralizationsModels Including Switch-Up and Cycling EffectsHeredity HypothesisSummaryAccelerated Degradation ModelsIntroductionDegradation ModelsModeling the Influence of Explanatory Varia
Model uncertainty: Probabilities for models?
International Nuclear Information System (INIS)
Winkler, R.L.
1994-01-01
Like any other type of uncertainty, model uncertainty should be treated in terms of probabilities. The question is how to do this. The most commonly-used approach has a drawback related to the interpretation of the probabilities assigned to the models. If we step back and look at the big picture, asking what the appropriate focus of the model uncertainty question should be in the context of risk and decision analysis, we see that a different probabilistic approach makes more sense, although it raise some implementation questions. Current work that is underway to address these questions looks very promising
HYPERELASTIC MODELS FOR GRANULAR MATERIALS
Energy Technology Data Exchange (ETDEWEB)
Humrickhouse, Paul W; Corradini, Michael L
2009-01-29
A continuum framework for modeling of dust mobilization and transport, and the behavior of granular systems in general, has been reviewed, developed and evaluated for reactor design applications. The large quantities of micron-sized particles expected in the international fusion reactor design, ITER, will accumulate into piles and layers on surfaces, which are large relative to the individual particle size; thus, particle-particle, rather than particle-surface, interactions will determine the behavior of the material in bulk, and a continuum approach is necessary and justified in treating the phenomena of interest; e.g., particle resuspension and transport. The various constitutive relations that characterize these solid particle interactions in dense granular flows have been discussed previously, but prior to mobilization their behavior is not even fluid. Even in the absence of adhesive forces between particles, dust or sand piles can exist in static equilibrium under gravity and other forces, e.g., fluid shear. Their behavior is understood to be elastic, though not linear. The recent “granular elasticity” theory proposes a non-linear elastic model based on “Hertz contacts” between particles; the theory identifies the Coulomb yield condition as a requirement for thermodynamic stability, and has successfully reproduced experimental results for stress distributions in sand piles. The granular elasticity theory is developed and implemented in a stand- alone model and then implemented as part of a finite element model, ABAQUS, to determine the stress distributions in dust piles subjected to shear by a fluid flow. We identify yield with the onset of mobilization, and establish, for a given dust pile and flow geometry, the threshold pressure (force) conditions on the surface due to flow required to initiate it. While the granular elasticity theory applies strictly to cohesionless granular materials, attractive forces are clearly important in the interaction of
Wessler, Benjamin S; Lai Yh, Lana; Kramer, Whitney; Cangelosi, Michael; Raman, Gowri; Lutz, Jennifer S; Kent, David M
2015-07-01
Clinical prediction models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision making and individualize care. For patients with cardiovascular disease, there are numerous CPMs available although the extent of this literature is not well described. We conducted a systematic review for articles containing CPMs for cardiovascular disease published between January 1990 and May 2012. Cardiovascular disease includes coronary heart disease, heart failure, arrhythmias, stroke, venous thromboembolism, and peripheral vascular disease. We created a novel database and characterized CPMs based on the stage of development, population under study, performance, covariates, and predicted outcomes. There are 796 models included in this database. The number of CPMs published each year is increasing steadily over time. Seven hundred seventeen (90%) are de novo CPMs, 21 (3%) are CPM recalibrations, and 58 (7%) are CPM adaptations. This database contains CPMs for 31 index conditions, including 215 CPMs for patients with coronary artery disease, 168 CPMs for population samples, and 79 models for patients with heart failure. There are 77 distinct index/outcome pairings. Of the de novo models in this database, 450 (63%) report a c-statistic and 259 (36%) report some information on calibration. There is an abundance of CPMs available for a wide assortment of cardiovascular disease conditions, with substantial redundancy in the literature. The comparative performance of these models, the consistency of effects and risk estimates across models and the actual and potential clinical impact of this body of literature is poorly understood. © 2015 American Heart Association, Inc.
DRIFT ANALYSIS ON NEURAL NETWORK MODEL OF HEAT EXCHANGER FOULING
Directory of Open Access Journals (Sweden)
M. RAMASAMY
2008-04-01
Full Text Available Neural Networks (NN provide a good platform for modeling complex and poorly understood systems in many different fields. Due to the empirical nature of NN, it is typically valid only for small operating windows. As the process drifts, the prediction accuracy of such models deteriorates very much rendering the models unfit. An on-line mechanism to follow the drift in the process is necessary in order to retrain the NN models. Information Criteria have been reported to be used for the selection of relevant input variables and determination of optimal NN model structures. This paper proposes the use of information criteria for tracking the model prediction accuracy and provides an algorithm for retraining the model. A heat exchanger in a refinery Crude Preheat Train (CPT has been used as a case study. The operational problems of heat exchangers in CPT are compounded by the varying nature of crude blends and the complex fouling phenomenon. Fouling develops slowly and therefore the drift in the process occurs on a slower scale. The performance of a NN fouling model, developed using industrial data is investigated for drift. Model performance at different operating conditions is evaluated and it has been shown that drifts do occur in the process. An algorithm for retraining NN model has been proposed.
Energy Technology Data Exchange (ETDEWEB)
Curtis, S.B.
1990-09-01
Several models and theories are reviewed that incorporate the idea of radiation-induced lesions (repairable and/or irreparable) that can be related to molecular lesions in the DNA molecule. Usually the DNA double-strand or chromatin break is suggested as the critical lesion. In the models, the shoulder on the low-LET survival curve is hypothesized as being due to one (or more) of the following three mechanisms: (1) ``interaction`` of lesions produced by statistically independent particle tracks; (2) nonlinear (i.e., linear-quadratic) increase in the yield of initial lesions, and (3) saturation of repair processes at high dose. Comparisons are made between the various approaches. Several significant advances in model development are discussed; in particular, a description of the matrix formulation of the Markov versions of the RMR and LPL models is given. The more advanced theories have incorporated statistical fluctuations in various aspects of the energy-loss and lesion-formation process. An important direction is the inclusion of physical and chemical processes into the formulations by incorporating relevant track structure theory (Monte Carlo track simulations) and chemical reactions of radiation-induced radicals. At the biological end, identification of repair genes and how they operate as well as a better understanding of how DNA misjoinings lead to lethal chromosome aberrations are needed for appropriate inclusion into the theories. More effort is necessary to model the complex end point of radiation-induced carcinogenesis.
Energy Technology Data Exchange (ETDEWEB)
Curtis, S.B.
1990-09-01
Several models and theories are reviewed that incorporate the idea of radiation-induced lesions (repairable and/or irreparable) that can be related to molecular lesions in the DNA molecule. Usually the DNA double-strand or chromatin break is suggested as the critical lesion. In the models, the shoulder on the low-LET survival curve is hypothesized as being due to one (or more) of the following three mechanisms: (1) interaction'' of lesions produced by statistically independent particle tracks; (2) nonlinear (i.e., linear-quadratic) increase in the yield of initial lesions, and (3) saturation of repair processes at high dose. Comparisons are made between the various approaches. Several significant advances in model development are discussed; in particular, a description of the matrix formulation of the Markov versions of the RMR and LPL models is given. The more advanced theories have incorporated statistical fluctuations in various aspects of the energy-loss and lesion-formation process. An important direction is the inclusion of physical and chemical processes into the formulations by incorporating relevant track structure theory (Monte Carlo track simulations) and chemical reactions of radiation-induced radicals. At the biological end, identification of repair genes and how they operate as well as a better understanding of how DNA misjoinings lead to lethal chromosome aberrations are needed for appropriate inclusion into the theories. More effort is necessary to model the complex end point of radiation-induced carcinogenesis.
Basin F Subregional Groundwater Model
National Research Council Canada - National Science Library
Mazion, Edward
2001-01-01
The groundwater flow system at Rocky Mountain Arsenal (RMA) is complex. To evaluate proposed remedial alternatives, interaction of the local groundwater flow system with the present contamination control systems must be understood...
Modelling the failure modes in geobag revetments.
Akter, A; Crapper, M; Pender, G; Wright, G; Wong, W S
2012-01-01
In recent years, sand filled geotextile bags (geobags) have been used as a means of long-term riverbank revetment stabilization. However, despite their deployment in a significant number of locations, the failure modes of such structures are not well understood. Three interactions influence the geobag performance, i.e. geobag-geobag, geobag-water flow and geobag-water flow-river bank. The aim of the research reported here is to develop a detailed understanding of the failure mechanisms in a geobag revetment using a discrete element model (DEM) validated by laboratory data. The laboratory measured velocity data were used for preparing a mapped velocity field for a coupled DEM simulation of geobag revetment failure. The validated DEM model could identify well the critical bag location in varying water depths. Toe scour, one of the major instability factors in revetments, and its influence on the bottom-most layer of the bags were also reasonably represented in this DEM model. It is envisaged that the use of a DEM model will provide more details on geobag revetment performance in riverbanks.
Optical modeling of Fresnel zoneplate microscopes.
Naulleau, Patrick P; Mochi, Iacopo; Goldberg, Kenneth A
2011-07-10
Defect free masks remain one of the most significant challenges facing the commercialization of extreme ultraviolet (EUV) lithography. Progress on this front requires high-performance wavelength-specific metrology of EUV masks, including high-resolution and aerial-image microscopy performed near the 13.5 nm wavelength. Arguably the most cost-effective and rapid path to proliferating this capability is through the development of Fresnel zoneplate-based microscopes. Given the relative obscurity of such systems, however, modeling tools are not necessarily optimized to deal with them and their imaging properties are poorly understood. Here we present a modeling methodology to analyze zoneplate microscopes based on commercially available optical modeling software and use the technique to investigate the imaging performance of an off-axis EUV microscope design. The modeling predicts that superior performance can be achieved by tilting the zoneplate, making it perpendicular to the chief ray at the center of the field, while designing the zoneplate to explicitly work in that tilted plane. Although the examples presented here are in the realm of EUV mask inspection, the methods described and analysis results are broadly applicable to zoneplate microscopes in general, including full-field soft-x-ray microscopes routinely used in the synchrotron community. © 2011 Optical Society of America
Optical modeling of Fresnel zoneplate microscopes
International Nuclear Information System (INIS)
Naulleau, Patrick P.; Mochi, Iacopo; Goldberg, Kenneth A.
2011-01-01
Defect free masks remain one of the most significant challenges facing the commercialization of extreme ultraviolet (EUV) lithography. Progress on this front requires high-performance wavelength-specific metrology of EUV masks, including high-resolution and aerial-image microscopy performed near the 13.5 nm wavelength. Arguably the most cost-effective and rapid path to proliferating this capability is through the development of Fresnel zoneplate-based microscopes. Given the relative obscurity of such systems, however, modeling tools are not necessarily optimized to deal with them and their imaging properties are poorly understood. Here we present a modeling methodology to analyze zoneplate microscopes based on commercially available optical modeling software and use the technique to investigate the imaging performance of an off-axis EUV microscope design. The modeling predicts that superior performance can be achieved by tilting the zoneplate, making it perpendicular to the chief ray at the center of the field, while designing the zoneplate to explicitly work in that tilted plane. Although the examples presented here are in the realm of EUV mask inspection, the methods described and analysis results are broadly applicable to zoneplate microscopes in general, including full-field soft-x-ray microscopes routinely used in the synchrotron community.
Cocaine addiction and personality: a mathematical model.
Caselles, Antonio; Micó, Joan C; Amigó, Salvador
2010-05-01
The existence of a close relation between personality and drug consumption is recognized, but the corresponding causal connection is not well known. Neither is it well known whether personality exercises an influence predominantly at the beginning and development of addiction, nor whether drug consumption produces changes in personality. This paper presents a dynamic mathematical model of personality and addiction based on the unique personality trait theory (UPTT) and the general modelling methodology. This model attempts to integrate personality, the acute effect of drugs, and addiction. The UPTT states the existence of a unique trait of personality called extraversion, understood as a dimension that ranges from impulsive behaviour and sensation-seeking (extravert pole) to fearful and anxious behaviour (introvert pole). As a consequence of drug consumption, the model provides the main patterns of extraversion dynamics through a system of five coupled differential equations. It combines genetic extraversion, as a steady state, and dynamic extraversion in a unique variable measured on the hedonic scale. The dynamics of this variable describes the effects of stimulant drugs on a short-term time scale (typical of the acute effect); while its mean time value describes the effects of stimulant drugs on a long-term time scale (typical of the addiction effect). This understanding may help to develop programmes of prevention and intervention in drug misuse.
A Conceptual Modeling Approach for OLAP Personalization
Garrigós, Irene; Pardillo, Jesús; Mazón, Jose-Norberto; Trujillo, Juan
Data warehouses rely on multidimensional models in order to provide decision makers with appropriate structures to intuitively analyze data with OLAP technologies. However, data warehouses may be potentially large and multidimensional structures become increasingly complex to be understood at a glance. Even if a departmental data warehouse (also known as data mart) is used, these structures would be also too complex. As a consequence, acquiring the required information is more costly than expected and decision makers using OLAP tools may get frustrated. In this context, current approaches for data warehouse design are focused on deriving a unique OLAP schema for all analysts from their previously stated information requirements, which is not enough to lighten the complexity of the decision making process. To overcome this drawback, we argue for personalizing multidimensional models for OLAP technologies according to the continuously changing user characteristics, context, requirements and behaviour. In this paper, we present a novel approach to personalizing OLAP systems at the conceptual level based on the underlying multidimensional model of the data warehouse, a user model and a set of personalization rules. The great advantage of our approach is that a personalized OLAP schema is provided for each decision maker contributing to better satisfy their specific analysis needs. Finally, we show the applicability of our approach through a sample scenario based on our CASE tool for data warehouse development.
Physiologically based quantitative modeling of unihemispheric sleep.
Kedziora, D J; Abeysuriya, R G; Phillips, A J K; Robinson, P A
2012-12-07
Unihemispheric sleep has been observed in numerous species, including birds and aquatic mammals. While knowledge of its functional role has been improved in recent years, the physiological mechanisms that generate this behavior remain poorly understood. Here, unihemispheric sleep is simulated using a physiologically based quantitative model of the mammalian ascending arousal system. The model includes mutual inhibition between wake-promoting monoaminergic nuclei (MA) and sleep-promoting ventrolateral preoptic nuclei (VLPO), driven by circadian and homeostatic drives as well as cholinergic and orexinergic input to MA. The model is extended here to incorporate two distinct hemispheres and their interconnections. It is postulated that inhibitory connections between VLPO nuclei in opposite hemispheres are responsible for unihemispheric sleep, and it is shown that contralateral inhibitory connections promote unihemispheric sleep while ipsilateral inhibitory connections promote bihemispheric sleep. The frequency of alternating unihemispheric sleep bouts is chiefly determined by sleep homeostasis and its corresponding time constant. It is shown that the model reproduces dolphin sleep, and that the sleep regimes of humans, cetaceans, and fur seals, the latter both terrestrially and in a marine environment, require only modest changes in contralateral connection strength and homeostatic time constant. It is further demonstrated that fur seals can potentially switch between their terrestrial bihemispheric and aquatic unihemispheric sleep patterns by varying just the contralateral connection strength. These results provide experimentally testable predictions regarding the differences between species that sleep bihemispherically and unihemispherically. Copyright © 2012 Elsevier Ltd. All rights reserved.
Cfd modeling of a synthetic jet actuator
International Nuclear Information System (INIS)
Dghim, Marouane; Ben Chiekh, Maher; Ben Nasrallah, Sassi
2009-01-01
Synthetic jet actuators show good promise as an enabling technology for innovative boundary layer flow control applied to external surfaces, like airplane wings, and to internal flows, like those occurring in a curved engine inlet. The appealing characteristics of a synthetic jet are zero-net-mass flux operation and an efficient control effect that takes advantages of unsteady fluid phenomena. The formation of a synthetic jet in a quiescent external air flow is only beginning to be understood and a rational understanding of these devices is necessary before they can be applied to the control of flows outside of the laboratory. The synthetic jet flow generated by a planar orifice is investigated here using computational approach. Computations of the 2D synthetic jet are performed with unsteady RANS modeled with the Realizable κ - ε turbulence model available in FLUENT environment. In this present work, the ability of the first order turbulence model, employed in our computations, to model the formation of the counter-rotating-vortex pair (CVP) that appears in the flow-field was investigated. Computational results were in good agreement with experimental measurements. The effectiveness of such control actuator was tested on separated boundary layer. Preliminary investigation were presented and discussed
A stochastic model for early placental development.
Cotter, Simon L
2014-08-01
In the human, placental structure is closely related to placental function and consequent pregnancy outcome. Studies have noted abnormal placental shape in small-for-gestational-age infants which extends to increased lifetime risk of cardiovascular disease. The origins and determinants of placental shape are incompletely understood and are difficult to study in vivo. In this paper, we model the early development of the human placenta, based on the hypothesis that this is driven by a chemoattractant effect emanating from proximal spiral arteries in the decidua. We derive and explore a two-dimensional stochastic model, and investigate the effects of loss of spiral arteries in regions near to the cord insertion on the shape of the placenta. This model demonstrates that disruption of spiral arteries can exert profound effects on placental shape, particularly if this is close to the cord insertion. Thus, placental shape reflects the underlying maternal vascular bed. Abnormal placental shape may reflect an abnormal uterine environment, predisposing to pregnancy complications. Through statistical analysis of model placentas, we are able to characterize the probability that a given placenta grew in a disrupted environment, and even able to distinguish between different disruptions.
Smith, J. A.; Cooper, K.; Randolph, M.
1984-01-01
A classical description of the one dimensional radiative transfer treatment of vegetation canopies was completed and the results were tested against measured prairie (blue grama) and agricultural canopies (soybean). Phase functions are calculated in terms of directly measurable biophysical characteristics of the canopy medium. While the phase functions tend to exhibit backscattering anisotropy, their exact behavior is somewhat more complex and wavelength dependent. A Monte Carlo model was developed that treats soil surfaces with large periodic variations in three dimensions. A photon-ray tracing technology is used. Currently, the rough soil surface is described by analytic functions and appropriate geometric calculations performed. A bidirectional reflectance distribution function is calculated and, hence, available for other atmospheric or canopy reflectance models as a lower boundary condition. This technique is used together with an adding model to calculate several cases where Lambertian leaves possessing anisotropic leaf angle distributions yield non-Lambertian reflectance; similar behavior is exhibited for simulated soil surfaces.
Eck, Christof; Knabner, Peter
2017-01-01
Mathematical models are the decisive tool to explain and predict phenomena in the natural and engineering sciences. With this book readers will learn to derive mathematical models which help to understand real world phenomena. At the same time a wealth of important examples for the abstract concepts treated in the curriculum of mathematics degrees are given. An essential feature of this book is that mathematical structures are used as an ordering principle and not the fields of application. Methods from linear algebra, analysis and the theory of ordinary and partial differential equations are thoroughly introduced and applied in the modeling process. Examples of applications in the fields electrical networks, chemical reaction dynamics, population dynamics, fluid dynamics, elasticity theory and crystal growth are treated comprehensively.
Evaluating experimental design for soil-plant model selection with Bayesian model averaging
Wöhling, Thomas; Geiges, Andreas; Nowak, Wolfgang; Gayler, Sebastian
2013-04-01
The objective selection of appropriate models for realistic simulations of coupled soil-plant processes is a challenging task since the processes are complex, not fully understood at larger scales, and highly non-linear. Also, comprehensive data sets are scarce, and measurements are uncertain. In the past decades, a variety of different models have been developed that exhibit a wide range of complexity regarding their approximation of processes in the coupled model compartments. We present a method for evaluating experimental design for maximum confidence in the model selection task. The method considers uncertainty in parameters, measurements and model structures. Advancing the ideas behind Bayesian Model Averaging (BMA), the model weights in BMA are perceived as uncertain quantities with assigned probability distributions that narrow down as more data are made available. This allows assessing the power of different data types, data densities and data locations in identifying the best model structure from among a suite of plausible models. The models considered in this study are the crop models CERES, SUCROS, GECROS and SPASS, which are coupled to identical routines for simulating soil processes within the modelling framework Expert-N. The four models considerably differ in the degree of detail at which crop growth and root water uptake are represented. Monte-Carlo simulations were conducted for each of these models considering their uncertainty in soil hydraulic properties and selected crop model parameters. The models were then conditioned on field measurements of soil moisture, leaf-area index (LAI), and evapotranspiration rates (from eddy-covariance measurements) during a vegetation period of winter wheat at the Nellingen site in Southwestern Germany. Following our new method, we derived the BMA model weights (and their distributions) when using all data or different subsets thereof. We discuss to which degree the posterior BMA mean outperformed the prior BMA
Cardey, Sylviane
2013-01-01
In response to the need for reliable results from natural language processing, this book presents an original way of decomposing a language(s) in a microscopic manner by means of intra/inter‑language norms and divergences, going progressively from languages as systems to the linguistic, mathematical and computational models, which being based on a constructive approach are inherently traceable. Languages are described with their elements aggregating or repelling each other to form viable interrelated micro‑systems. The abstract model, which contrary to the current state of the art works in int
Directory of Open Access Journals (Sweden)
Aarti Sharma
2009-01-01
Full Text Available The use of computational chemistry in the development of novel pharmaceuticals is becoming an increasingly important tool. In the past, drugs were simply screened for effectiveness. The recent advances in computing power and the exponential growth of the knowledge of protein structures have made it possible for organic compounds to be tailored to decrease the harmful side effects and increase the potency. This article provides a detailed description of the techniques employed in molecular modeling. Molecular modeling is a rapidly developing discipline, and has been supported by the dramatic improvements in computer hardware and software in recent years.
International Nuclear Information System (INIS)
Woosley, S.E.; Weaver, T.A.
1980-01-01
Recent progress in understanding the observed properties of Type I supernovae as a consequence of the thermonuclear detonation of white dwarf stars and the ensuing decay of the 56 Ni produced therein is reviewed. Within the context of this model for Type I explosions and the 1978 model for Type II explosions, the expected nucleosynthesis and gamma-line spectra from both kinds of supernovae are presented. Finally, a qualitatively new approach to the problem of massive star death and Type II supernovae based upon a combination of rotation and thermonuclear burning is discussed
DEFF Research Database (Denmark)
Stubkjær, Erik
2005-01-01
to the modeling of an industrial sector, as it aims at rendering the basic concepts that relate to the domain of real estate and the pertinent human activities. The palpable objects are pieces of land and buildings, documents, data stores and archives, as well as persons in their diverse roles as owners, holders...... to land. The paper advances the position that cadastral modeling has to include not only the physical objects, agents, and information sets of the domain, but also the objectives or requirements of cadastral systems....
Combining Two Methods of Global Sensitivity Analysis to Investigate MRSA Nasal Carriage Model.
Jarrett, Angela M; Cogan, N G; Hussaini, M Y
2017-10-01
We apply two different sensitivity techniques to a model of bacterial colonization of the anterior nares to better understand the dynamics of Staphylococcus aureus nasal carriage. Specifically, we use partial rank correlation coefficients to investigate sensitivity as a function of time and identify a reduced model with fewer than half of the parameters of the full model. The reduced model is used for the calculation of Sobol' indices to identify interacting parameters by their additional effects indices. Additionally, we found that the model captures an interesting characteristic of the biological phenomenon related to the initial population size of the infection; only two parameters had any significant additional effects, and these parameters have biological evidence suggesting they are connected but not yet completely understood. Sensitivity is often applied to elucidate model robustness, but we show that combining sensitivity measures can lead to synergistic insight into both model and biological structures.
Mediterranean climate modelling: variability and climate change scenarios
International Nuclear Information System (INIS)
Somot, S.
2005-12-01
Air-sea fluxes, open-sea deep convection and cyclo-genesis are studied in the Mediterranean with the development of a regional coupled model (AORCM). It accurately simulates these processes and their climate variabilities are quantified and studied. The regional coupling shows a significant impact on the number of winter intense cyclo-genesis as well as on associated air-sea fluxes and precipitation. A lower inter-annual variability than in non-coupled models is simulated for fluxes and deep convection. The feedbacks driving this variability are understood. The climate change response is then analysed for the 21. century with the non-coupled models: cyclo-genesis decreases, associated precipitation increases in spring and autumn and decreases in summer. Moreover, a warming and salting of the Mediterranean as well as a strong weakening of its thermohaline circulation occur. This study also concludes with the necessity of using AORCMs to assess climate change impacts on the Mediterranean. (author)
A foam ablation model for lost foam casting of aluminium
Energy Technology Data Exchange (ETDEWEB)
Barone, M.R.; Caulk, D.A. [General Motors Research and Development Center, Warren, MI (United States)
2005-09-01
A model is developed for heat transfer, polymer vaporization, and gas diffusion at the interface between the advancing liquid metal and the receding foam pattern during mold filling in lost foam casting of aluminum. Most of the pattern interior decomposes by ablation, but the boundary cells decompose by a collapse mechanism, which creates an undercut in the pattern next to the coating. By regulating how much of the pattern coating is exposed to gas diffusion, the undercut controls the overall filling speed of the metal through the mold. Computed values for the foam decomposition energy from this model compare very well with experimental data on foam pyrolysis, and predicted filling speeds are consistent with observations in published experiments. In addition, the model explains several unusual observations about mold filling that until now have not been understood. (author)
3D model of amphioxus steroid receptor complexed with estradiol
International Nuclear Information System (INIS)
Baker, Michael E.; Chang, David J.
2009-01-01
The origins of signaling by vertebrate steroids are not fully understood. An important advance was the report that an estrogen-binding steroid receptor [SR] is present in amphioxus, a basal chordate with a similar body plan as vertebrates. To investigate the evolution of estrogen-binding to steroid receptors, we constructed a 3D model of amphioxus SR complexed with estradiol. This 3D model indicates that although the SR is activated by estradiol, some interactions between estradiol and human ERα are not conserved in the SR, which can explain the low affinity of estradiol for the SR. These differences between the SR and ERα in the steroid-binding domain are sufficient to suggest that another steroid is the physiological regulator of the SR. The 3D model predicts that mutation of Glu-346 to Gln will increase the affinity of testosterone for amphioxus SR and elucidate the evolution of steroid-binding to nuclear receptors.
3D model of amphioxus steroid receptor complexed with estradiol
Energy Technology Data Exchange (ETDEWEB)
Baker, Michael E., E-mail: mbaker@ucsd.edu [Department of Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0693 (United States); Chang, David J. [Department of Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0693 (United States)
2009-08-28
The origins of signaling by vertebrate steroids are not fully understood. An important advance was the report that an estrogen-binding steroid receptor [SR] is present in amphioxus, a basal chordate with a similar body plan as vertebrates. To investigate the evolution of estrogen-binding to steroid receptors, we constructed a 3D model of amphioxus SR complexed with estradiol. This 3D model indicates that although the SR is activated by estradiol, some interactions between estradiol and human ER{alpha} are not conserved in the SR, which can explain the low affinity of estradiol for the SR. These differences between the SR and ER{alpha} in the steroid-binding domain are sufficient to suggest that another steroid is the physiological regulator of the SR. The 3D model predicts that mutation of Glu-346 to Gln will increase the affinity of testosterone for amphioxus SR and elucidate the evolution of steroid-binding to nuclear receptors.
Clinical application of the five-factor model.
Widiger, Thomas A; Presnall, Jennifer Ruth
2013-12-01
The Five-Factor Model (FFM) has become the predominant dimensional model of general personality structure. The purpose of this paper is to suggest a clinical application. A substantial body of research indicates that the personality disorders included within the American Psychiatric Association's (APA) Diagnostic and Statistical Manual of Mental Disorders (DSM) can be understood as extreme and/or maladaptive variants of the FFM (the acronym "DSM" refers to any particular edition of the APA DSM). In addition, the current proposal for the forthcoming fifth edition of the DSM (i.e., DSM-5) is shifting closely toward an FFM dimensional trait model of personality disorder. Advantages of this shifting conceptualization are discussed, including treatment planning. © 2012 Wiley Periodicals, Inc.
Reverse engineering systems models of regulation: discovery, prediction and mechanisms.
Ashworth, Justin; Wurtmann, Elisabeth J; Baliga, Nitin S
2012-08-01
Biological systems can now be understood in comprehensive and quantitative detail using systems biology approaches. Putative genome-scale models can be built rapidly based upon biological inventories and strategic system-wide molecular measurements. Current models combine statistical associations, causative abstractions, and known molecular mechanisms to explain and predict quantitative and complex phenotypes. This top-down 'reverse engineering' approach generates useful organism-scale models despite noise and incompleteness in data and knowledge. Here we review and discuss the reverse engineering of biological systems using top-down data-driven approaches, in order to improve discovery, hypothesis generation, and the inference of biological properties. Copyright © 2011 Elsevier Ltd. All rights reserved.
Integrable lambda models and Chern-Simons theories
Schmidtt, David M.
2017-05-01
In this note we reveal a connection between the phase space of lambda models on {S}^1× R and the phase space of double Chern-Simons theories on D× R and explain in the process the origin of the non-ultralocality of the Maillet bracket, which emerges as a boundary algebra. In particular, this means that the (classical) AdS 5 × S 5 lambda model can be understood as a double Chern-Simons theory defined on the Lie superalgebra psu(2,2\\Big|4) after a proper dependence of the spectral parameter is introduced. This offers a possibility for avoiding the use of the problematic non-ultralocal Poisson algebras that preclude the introduction of lattice regularizations and the application of the QISM to string sigma models. The utility of the equivalence at the quantum level is, however, still to be explored.
CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS
Energy Technology Data Exchange (ETDEWEB)
Donald D. Dudenhoeffer; May R. Permann; Milos Manic
2006-12-01
Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.