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Journal articles on the topic 'Parameter Interactions'

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Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Sadeghi, J., M. Khurshudyan, M. Hakobyan, and H. Farahani. "Hubble Parameter Corrected Interactions in Cosmology." Advances in High Energy Physics 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/129085.

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We make steps in a new direction by considering fluids with EoS of more general formF(ρ,P)=0. It is thought that there should be interaction between cosmic fluids, but this assumption for this stage carries only phenomenological character opening a room for different kinds of manipulations. In this paper we will consider a modification of an interactionQ, where we accept that interaction parameterb1(order of unity) inQ=3Hb1ρis time dependent and presented as a linear function of Hubble parameterHof the formb0+btH, wherebandb0are constants. We consider two different models including modified Chaplygin gas and polytropic gas which have bulk viscosity. Then, we investigate problem numerically and analyze behavior of different cosmological parameters concerning fluids and behavior of the universe.

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2

Memišević, Vesna, Anders Wallqvist, and Jaques Reifman. "Reconstituting protein interaction networks using parameter-dependent domain-domain interactions." BMC Bioinformatics 14, no. 1 (2013): 154. http://dx.doi.org/10.1186/1471-2105-14-154.

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3

Liu, Chengbu, Haiquan Hu, and Xiaohua Yang. "A practicable parameter describing magnetic interactions." Chemical Physics Letters 349, no. 1-2 (November 2001): 89–94. http://dx.doi.org/10.1016/s0009-2614(01)01199-x.

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4

Eichenhüller, Bernd, Ulf Engel, and Manfred Geiger. "Microforming and investigation of parameter interactions." Production Engineering 4, no. 2-3 (March 2, 2010): 135–40. http://dx.doi.org/10.1007/s11740-010-0214-9.

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5

Thakur, Rahul Kumar, Bhupendra Nath Tiwari, and Rahul Nigam. "Parameter space stability of multiple soft interactions." Nuclear Physics A 1002 (October 2020): 121978. http://dx.doi.org/10.1016/j.nuclphysa.2020.121978.

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6

Beven, K. J., and S. W. Franks. "Functional similarity in landscape scale SVAT modelling." Hydrology and Earth System Sciences 3, no. 1 (March 31, 1999): 85–93. http://dx.doi.org/10.5194/hess-3-85-1999.

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Abstract. In this study, it is shown that the complexity of Soil Vegetation Atmosphere Transfer (SVAT) models leads to an equifinality of functional behaviour - many parameterizations from many areas of the parameter space lead to very similar responses. Individual parameters derived by calibration (i.e. model inversion) against limited measurements are, therefore, highly uncertain. Due to the non-linear internal behaviour of SVAT models, aggregation of uncertainly known parameter fields to parameterize landscape scale variability in surface fluxes will yield highly uncertain predictions. A disaggregation approach suggested by Beven (1995) requires that the land surface be represented by a linear sum of a number of representative parameterizations or functional types. This study explores the nature of the parameter space in terms of a simple definition of functional behaviour. Parameter interactions producing similar predicted behaviours are investigated through application of Principal Component Analyses. These reveal the lack of a dominant global interaction indicating the presence of highly complex parameter interactions throughout the feasible parameter space.

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7

Dritschel, David G. "A general theory for two-dimensional vortex interactions." Journal of Fluid Mechanics 293 (June 25, 1995): 269–303. http://dx.doi.org/10.1017/s0022112095001716.

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A general theory for two-dimensional vortex interactions is developed from the observation that, under slowly changing external influences, an individual vortex evolves through a series of equilibrium states until such a state proves unstable. Once an unstable equilibrium state is reached, a relatively fast unsteady evolution ensues, typically involving another nearby vortex. During this fast unsteady evolution, a fraction of the original coherent circulation is lost to filamentary debris, and, remarkably, the flow reorganizes into a set of quasi-steady stable vortices.The simplifying feature of the proposed theory is its use of adiabatic steadiness and marginal stability to determine the shapes and separation distance of vortices on the brink of an inelastic interaction. As a result, the parameter space for the inelastic interaction of nearby vortices is greatly reduced. In the case of two vortex patches, which is the focus of the present work, inelastic interactions depend only on a single parameter: the area ratio of the two vortices (taking the vorticity magnitude inside each to be equal). Without invoking adiabatic steadiness and marginal stability, one would have to contend with the additional parameters of vortex separation and shape, and the latter is actually an infinitude of parameters.

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8

Douglas, Jack F., Robin Curtis, Prasad S. Sarangapani, Steven D. Hudson, Ronald L. Jones, and Jai A. Pathak. "Hard Spheres with Purely Repulsive Interactions Have Positive Diffusion Interaction Parameter, k D." Biophysical Journal 113, no. 3 (August 2017): 753–54. http://dx.doi.org/10.1016/j.bpj.2017.03.043.

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9

White, Mary Anne. "1996 Noranda Award Lecture Thermal properties of solids: Étude in three-part anharmony." Canadian Journal of Chemistry 74, no. 11 (November 1, 1996): 1916–21. http://dx.doi.org/10.1139/v96-216.

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The harmonic oscillator is a useful starting point for understanding many intermolecular interactions, and it successfully predicts many properties. However, anharmonic terms in the interaction potential are responsible for several observed phenomena. This review summarizes our recent experimental investigations of three thermal properties of molecular solids that result from anharmonic intermolecular interactions, viz. thermal expansion, Grüneisen parameters, and thermal conductivity. Key words: anharmonicity, thermal expansion, Grüneisen parameter, thermal conductivity.

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10

HASLEHURST, L., and N. N. EKERE. "PARAMETER INTERACTIONS IN STENCIL PRINTING OF SOLDER PASTE." Journal of Electronics Manufacturing 06, no. 04 (December 1996): 307–16. http://dx.doi.org/10.1142/s0960313196000251.

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11

Grabowski, Sławomir J. "Molecular Hydrogen as a Lewis Base in Hydrogen Bonds and Other Interactions." Molecules 25, no. 14 (July 20, 2020): 3294. http://dx.doi.org/10.3390/molecules25143294.

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The second-order Møller–Plesset perturbation theory calculations with the aug-cc-pVTZ basis set were performed for complexes of molecular hydrogen. These complexes are connected by various types of interactions, the hydrogen bonds and halogen bonds are most often represented in the sample of species analysed; most interactions can be classified as σ-hole and π-hole bonds. Different theoretical approaches were applied to describe these interactions: Quantum Theory of ‘Atoms in Molecules’, Natural Bond Orbital method, or the decomposition of the energy of interaction. The energetic, geometrical, and topological parameters are analysed and spectroscopic properties are discussed. The stretching frequency of the H-H bond of molecular hydrogen involved in intermolecular interactions is considered as a parameter expressing the strength of interaction.

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12

Dhiman, Monika, Kuljeet Singh, Jyotsna Kaushal, Arun Upmanyu, and D. P. Singh. "Ultrasonic Study of Molecular Interactions in Polymeric Solution of Polypropylene Glycol-400 and Ethanol at 303 K." Acta Acustica united with Acustica 105, no. 5 (July 1, 2019): 743–52. http://dx.doi.org/10.3813/aaa.919354.

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A comprehensive ultrasonic investigation of molecular interactions in the polymeric solution of polypropylene glycol (PPG)-400 and ethanol at 303 K has been performed using the data available in literature. Several acoustic parameters such as acoustic impedance, isothermal compressibility, molar sound velocity, molar adiabatic compressibility, internal pressure, free volume, van der Waals constants, molar cohesive energy and relaxation time have been explored. Thermo-dynamical parameters viz.: available volume, intermolecular free length, relative association, surface tension, pseudo-Gruneisen parameter, Debye temperature, diff usion constant, coefficient of thermal conductivity and latent heat of melting have been evaluated. Several thermo- elastic parameters such as Young modulus, shear modulus, bulk modulus and Poisson's ratio are also determined. Excess parameters are computed to study the relative molecular interactions and strength of interaction between the constituents of the polymer mixture. The volume expansivity data is used to evaluate Moelwyn-Hughes parameter, reduced volume, reduced isothermal bulk modulus, Sharma's constants, Huggins parameter, isobaric, isochoric, and isothermal lattice Gruneisen parameters, fractional free volume, repulsive exponent, Bayer's non-linear parameter, cohesive energy density and characteristic temperature. Schaaff 's collision factor theory, Jacobson's free length theory, Nomoto's relation, Van Dael-Vangeel relation, impedance dependence relation, Junjie relation and ideal mixing relation have been used to evaluate ultrasonic velocities in the system under study. The obtained results have been compared with earlier experimental results. The non-ideal behaviour of the mixture has been explained in terms of its composition and variation of its acoustical and thermo-dynamical parameters.

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13

Panourgia, Eleni Ira, Finbar Wheelaghan, and Xue Yang. "Digital interactions." Airea: Arts and Interdisciplinary Research, no. 1 (June 13, 2018): 3–10. http://dx.doi.org/10.2218/airea.2732.

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This article discusses a prototype that explores the simultaneous manipulation of three-dimensional digital forms and sound. Our multi-media study examines the aesthetic affordances of tight parameter couplings between digital three-dimensional objects and sound objects based on notions of process and user-machine interaction. It investigates how effective cohesion between visual, spatial and sonic might be established through changes perceived in parallel; what Michel Chion refers to as 'synchresis'. Drawing from Mike Blow's work On the Simultaneous Perception of Sound and Three-Dimensional Objects and processual art, this prototype uses computer technology for forming and mediating a creative practice involving 3D animation, sound synthesis, digital signal processing and programming. Our practice-based approach entails the rendering of a three-dimensional digital object in Processing whose form changes over time according to specific actions. Spatial data is sent via Open Sound Control (OSC) to Max MSP in real time, where sound is synthesized and then manipulated. Sonic parameters such as amplitude, spectral density/width and timbre are controlled by select spatial parameters from the three-dimensional object. Sound processing is realized based on the changing of the three-dimensional object in time through basic actions such as splitting, distorting, cutting, shattering and rotating. We use digital technology to look beyond basic synchronisation of sound and vision to a more complex cohesion of percepts, based on changes to myriad sonic and visual parameters experienced concurrently.

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14

Goves, Larry. "MULTIMODAL PERFORMER COORDINATION AS A CREATIVE COMPOSITIONAL PARAMETER." Tempo 74, no. 293 (June 10, 2020): 32–53. http://dx.doi.org/10.1017/s004029822000025x.

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AbstractThis article looks at a creative trajectory in my recent work, an ongoing exploration of how the coordination of and precise interaction between performers in music-performance can be considered a primary compositional parameter (and perhaps compositional material in its own right). This investigation began with a survey of performer interactions in Olivier Messiaen's Quatuor pour la fin du temps and older music of my own. This led to an interest in the entanglement of ‘instrumental theatre’ and compositional scenarios in which performer behaviours, in relation to coordination and interaction, contribute idiosyncratically (i.e. outside of the more typical interpretation/improvisation models) to the music.

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15

Wati, Widia, Gunawan Pamudji Widodo, and Rina Herowati. "Prediction of Pharmacokinetics Parameter and Molecular Docking Study of Antidiabetic Compounds from Syzygium polyanthum and Syzygium cumini." Jurnal Kimia Sains dan Aplikasi 23, no. 6 (May 31, 2020): 189–95. http://dx.doi.org/10.14710/jksa.23.6.189-195.

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Syzygium polyanthum leaf extract and Syzygium cumini herbs extract have been reported to have antidiabetic activity. This study aimed to predict the molecular target of chemical constituents of S. polyanthum and S. cumini as well as study their interactions with various macromolecular targets of an antidiabetic agent. Molecular docking of all ligands was studied using the Autodock Vina program in PyRx, and the results are presented as binding affinity values (kcal/mol) of ligand against the protein. PyMOL is used to visualize the 3D molecular of docked conformation and ligand-protein interactions. The predicted pharmacokinetic parameters were obtained by SwissADME. Delphinidin-3-gentiobioside and isoquercitrin are predicted to have good interaction with DPP-4 and α-glucosidase, respectively. However, they are predicted to have poor absorption properties. Quercetin and kaempferol are predicted to have good interaction with PTP1B and glucokinase and showed good pharmacokinetic properties.

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16

Wang, S., G. H. Huang, B. W. Baetz, and W. Huang. "Probabilistic Inference Coupled with Possibilistic Reasoning for Robust Estimation of Hydrologic Parameters and Piecewise Characterization of Interactive Uncertainties." Journal of Hydrometeorology 17, no. 4 (April 1, 2016): 1243–60. http://dx.doi.org/10.1175/jhm-d-15-0131.1.

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Abstract This paper presents a factorial possibilistic–probabilistic inference (FPI) framework for estimation of hydrologic parameters and characterization of interactive uncertainties. FPI is capable of incorporating expert knowledge into the parameter adjustment procedure for enhancing the understanding of the nature of the calibration problem. As a component of the FPI framework, a Monte Carlo–based fractional fuzzy–factorial analysis (MFA) method is also proposed to identify the best parameter set and its underlying probability distributions in a fuzzy probability space. Factorial analysis of variance (ANOVA) coupled with its multivariate extensions are performed to explore potential interactions among model parameters and among hydrological metrics in a systematic manner. The proposed methodology is applied to the Xiangxi River watershed by using the conceptual hydrological model (HYMOD) to demonstrate its validity and applicability. Results reveal that MFA is capable of deriving probability density functions (PDFs) of hydrologic model parameters. Moreover, the sequential inferences derived from the F test and its multivariate approximations disclose the statistical significance of parametric interactions affecting individual and multiple hydrological metrics, respectively. The findings presented here indicate that parametric interactions are complex in a fuzzy stochastic environment, and the magnitude and direction of interaction effects vary in different regions of the parameter space as well as vary temporally because of the dynamic behavior of hydrologic systems.

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17

Marques, Gil C., and Dominique Spehler. "Symmetry breakdown and coupling constants of leptons." Anais da Academia Brasileira de Ciências 79, no. 2 (June 2007): 195–208. http://dx.doi.org/10.1590/s0001-37652007000200002.

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Based on a new approach to symmetries of the fundamental interactions we deal, in this paper, with the electroweak interactions of leptons. We show that the coupling constants, arising in the way leptons are coupled to intermediate bosons, can be understood as parameters associated to the breakdown of SU(2) and parity symmetries. The breakdown of both symmetries is characterized by a new parameter (the asymetry parameter) of the electroweak interactions. This parameter gives a measure of the strength of breakdown of symmetries. We analyse the behaviour of the theory for three values of this parameter. The most relevant value is the one for which only the electromagnetic interactions do not break parity (the maximally allowed left-right asymetric theory). Maximamally allowed parity asymmetry is a requirement that is met for a value of Weinberg's theta-angle that is quite close to the experimental value of this parameter.

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18

Chang, Shuo, Xiang Zhou, and Zhiqi Xing. "Computing solubility parameters of phosphorous flame retardants by molecular dynamics and correlating their interactions with poly(ethylene terephthalate)." Textile Research Journal 89, no. 2 (November 13, 2017): 195–203. http://dx.doi.org/10.1177/0040517517741161.

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The solubility parameter is a reliable way to study the adsorption phenomenon quantitatively for a wide range of systems. Herein, solubility parameters of five selected phosphorous flame retardants were computed by molecular dynamics (MD) simulations, whose phosphorous groups were not available in the group contribution method, with the aim to address the intermolecular interactions of flame retardants with poly(ethylene terephthalate) (PET) while transferring from an aqueous bath to PET textiles. To verify the reliability of the MD strategy, the solubility parameter of flame retardant 1,2,5,6,9,10-hexabromocyclododecane (HBCD) was computed by group contribution and MD as well. The obtained solubility parameters of the five phosphorous flame retardants were found to have a linear correlation with their thermodynamic parameters, which describes their adsorption on PET fibers and, cited from our previous publication, partition coefficient K and the change of standard Gibbs free energy of the transfer of flame retardants from water to PET fiber [Formula: see text], suggesting that flame retardants with lower solubility parameter in this study are more likely to adsorb on PET fibers. Compared with the polarity parameter ET(30) which was determined in our previous publication, the solubility parameter behaved similarly in describing the interaction between flame retardants and PET fibers during the adsorption process.

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19

OLEJNICZAK, JOSEPH, MICHAEL J. WRIGHT, and GRAHAM V. CANDLER. "Numerical study of inviscid shock interactions on double-wedge geometries." Journal of Fluid Mechanics 352 (December 10, 1997): 1–25. http://dx.doi.org/10.1017/s0022112097007131.

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Computational fluid dynamics has been used to study inviscid shock interactions on double-wedge geometries with the purpose of understanding the fundamental gas dynamics of these interactions. The parameter space of the interactions has been explored and the different types of interactions that occur have been identified. Although the interactions are produced by a different geometry, all but one of them may be identified as an Edney Type I, IV, V, or VI interaction. The previously unidentified interaction occurs because of the geometrical constraints imposed by the double wedge. The physical mechanisms for transition have been studied, and the transition criteria have been identified. An important result is that there are two different regimes of the parameter space in which the state of the flow downstream of the interaction point is fundamentally different. At high Mach numbers this flow is characterized by an underexpanded jet which impinges on the wedge and produces large-amplitude surface pressure variations. At low Mach numbers, the jet becomes a shear layer which no longer impinges on the wedge surface.

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20

Easley, Alexandra D., Lillian M. Vukin, Paraskevi Flouda, Dylan L. Howard, Jose L. Pena, and Jodie L. Lutkenhaus. "Nitroxide Radical Polymer–Solvent Interactions and Solubility Parameter Determination." Macromolecules 53, no. 18 (September 4, 2020): 7997–8008. http://dx.doi.org/10.1021/acs.macromol.0c01739.

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21

Lim, E., S. Dokos, S. L. Cloherty, R. F. Salamonsen, D. G. Mason, J. A. Reizes, and N. H. Lovell. "Parameter-Optimized Model of Cardiovascular–Rotary Blood Pump Interactions." IEEE Transactions on Biomedical Engineering 57, no. 2 (February 2010): 254–66. http://dx.doi.org/10.1109/tbme.2009.2031629.

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22

Sjöstrand, Torbjörn, and Maria Van Zijl. "Multiple parton-parton interactions in an impact parameter picture." Physics Letters B 188, no. 1 (April 1987): 149–54. http://dx.doi.org/10.1016/0370-2693(87)90722-2.

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23

Schuster, R. H., H. M. Issel, and V. Peterseim. "Selective Interactions in Elastomers, a Base for Compatibility and Polymer-Filler Interactions." Rubber Chemistry and Technology 69, no. 5 (November 1, 1996): 769–80. http://dx.doi.org/10.5254/1.3538400.

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Abstract This paper describes the determination of accurate solubility parameters for nonpolar rubbers according to a GLC-method developed by Guillet. The data obtained provide a simple but meaningful thermodynamic characterization of the contribution of microstructure units and comonomers (styrene) in polydienes. On this basis quantitative expressions are derived for δ2-parameters of BR and SBR as a function of the vinyl and the styrene content respectively. The consequences on morphology development and miscibility are presented for blends of NR, SBR, BR and EPDM. Furthermore, it is shown for the first time that the method is able to describe the temperature dependence of the δ2-parameter so that temperature induced phase transitions (UCST and LCST) can be predicted. On this basis morphological predictions are made on average domain size and size distribution as well as on the phase inversion region. The contribution of intermolecular interactions to flow-induced phase morphology is discussed in relation to the influence of rheological factors. An extension to polymer—filler systems is made.

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24

Wang, Pan, Shu-Hong Xiao, Li Chen, and Gang Yang. "Analytical study on the generalized Davydov model in the alpha helical proteins." Modern Physics Letters B 31, no. 16 (May 30, 2017): 1750178. http://dx.doi.org/10.1142/s0217984917501780.

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In this paper, we investigate the dynamics of a generalized Davydov model derived from an infinite chain of alpha helical protein molecules which contain three hydrogen bonding spines running almost parallel to the helical axis. Through the introduction of the auxiliary function, the bilinear form, one-, two- and three-soliton solutions for the generalized Davydov model are obtained firstly. Propagation and interactions of solitons have been investigated analytically and graphically. The amplitude of the soliton is only related to the complex parameter [Formula: see text] and real parameter [Formula: see text] with a range of [Formula: see text]. The velocity of the soliton is only related to the complex parameter [Formula: see text], real parameter [Formula: see text], lattice parameter [Formula: see text], and physical parameters [Formula: see text], [Formula: see text] and [Formula: see text]. Overtaking and head-on interactions of two and three solitons are presented. The common in the interactions of three solitons is the directions of the solitons change after the interactions. The soliton derived in this paper is expected to have potential applications in the alpha helical proteins.

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25

Tai, G. C. C. "Canonical variate analysis of genotype × environment interactions." Canadian Journal of Plant Science 79, no. 3 (July 1, 1999): 427–31. http://dx.doi.org/10.4141/p98-073.

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The additive main effects and multiplicative interaction (AMMI) model is used to investigate genotype × environment interactions often encountered in variety trials. Interaction effects are accounted for by several multiplicative terms in the model, with each consisting of a genotypic and an environmental parameter. These effects are estimated using principal-component analysis. An alternative method is presented to estimate the genotypic and environmental parameters in the multiplicative terms of the AMMI model by canonical variate analysis. The number of significant interactive terms can be easily determined using the χ2 test. Each of the multiplicative terms include a unitless coefficient measuring genotypic response and an environmental effect in terms of the physical unit of the concerned trait. Biplots can be used with the scores of both genotypes and environments for graphic examination of analytic results. Total tuber-yield data from potato genotypes tested in a series of international trials are used to illustrate the new analytic procedure. Key words: Genotype × environment interactions, AMMI, canonical variate analysis, potato

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26

Scott, R. K., and D. G. Dritschel. "Vortex–Vortex Interactions in the Winter Stratosphere." Journal of the Atmospheric Sciences 63, no. 2 (February 1, 2006): 726–40. http://dx.doi.org/10.1175/jas3632.1.

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Abstract This paper examines the interaction of oppositely signed vortices in the compressible (non-Boussinesq) quasigeostrophic system, with a view to understanding vortex interactions in the polar winter stratosphere. A series of simplifying approximations leads to a two-vortex system whose dynamical properties are determined principally by two parameters: the ratio of the circulation of the vortices and the vertical separation of their centroids. For each point in this two-dimensional parameter space a family of equilibrium solutions exists, further parameterized by the horizontal separation of the vortex centroids, which are stable for horizontal separations greater than a critical value. The stable equilibria are characterized by vortex deformations that generally involve stronger deformations of the larger and/or lower of the two vortices. For smaller horizontal separations, the equilibria are unstable and a strongly nonlinear, time-dependent interaction takes place, typically involving the shedding of material from the larger vortex while the smaller vortex remains coherent. Qualitatively, the interactions resemble previous observations of certain stratospheric sudden warmings that involved the interaction of a growing anticyclonic circulation with the cyclonic polar vortex.

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27

Song, Lei, Hong-Zhao Liu, and Zong-Xiao Yang. "Orthogonal Analysis Based Performance Optimization for Vertical Axis Wind Turbine." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/6241360.

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Geometrical shape of a vertical axis wind turbine (VAWT) is composed of multiple structural parameters. Since there are interactions among the structural parameters, traditional research approaches, which usually focus on one parameter at a time, cannot obtain performance of the wind turbine accurately. In order to exploit overall effect of a novel VAWT, we firstly use a single parameter optimization method to obtain optimal values of the structural parameters, respectively, by Computational Fluid Dynamics (CFD) method; based on the results, we then use an orthogonal analysis method to investigate the influence of interactions of the structural parameters on performance of the wind turbine and to obtain optimization combination of the structural parameters considering the interactions. Results of analysis of variance indicate that interactions among the structural parameters have influence on performance of the wind turbine, and optimization results based on orthogonal analysis have higher wind energy utilization than that of traditional research approaches.

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Akai Kurbanovich, Murtazaev, and Ibaev Zhavrail Gadzhievich. "The Monte Carlo simulation of 2D ANNNI-model." EPJ Web of Conferences 185 (2018): 11010. http://dx.doi.org/10.1051/epjconf/201818511010.

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In this, study we present the data for 2D Axial Next Nearest Neighbor Ising model (ANNNI-model) obtained from Monte Carlo (MC) simulations using the standard Metropolis algorithm. The temperature dependences of thermodynamic parameters for a cubic lattice with linear sizes L=32 at different values of the competing interaction parameter |J1/J|=0.1÷1.0. Transition temperatures of ferromagnetic ordering to the paramagnetic state at |J1/J|<0.3 and to the modulated state at 0.3<|J1/J|<0.5 are shown to shift towards low temperatures with an increase in a competing interaction parameter absolute value. Conversely, transition temperatures of the modulate state to the paramagnetic ordering grow. The modulated ordering in the 2D ANNNImodel appears in the temperature range 0.1<T<2.0 at 0.2<|J1/J|≤1.0. Modulated structure parameters are computed using a mathematic apparatus of Fourier transform spectral analysis. According to the Fourier analysis results, the wave number grows with an increase in the competing interaction parameter absolute value. Summarizing obtained results, we plot a phase diagram of 2D anisotropic Ising model with competing interactions.

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29

Khurshudyan, M., M. Hakobyan, and As Khurshudyan. "Nonlinear logarithmic interactions and a varying polytropic gas." Modern Physics Letters A 33, no. 33 (October 29, 2018): 1850189. http://dx.doi.org/10.1142/s0217732318501894.

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In this paper, we constructed and demonstrated possible existence of some exotic forms of non-gravitational interaction. In particular, the construction has been done assuming that dark energy in considered models is a varying polytropic fluid suggested recently by one of us. Ongoing research in both directions, i.e. dark energy and non-gravitational interaction, opens very interesting perspectives for solving the problems which are related to the accelerated expansion of the Universe. The fact that available observational data allows to parametrize the dark side of the Universe in the form of interacting dark fluids is not less surprising than the accelerated expansion itself. Therefore, the consideration of new forms of non-gravitational interactions in modern cosmology is still one of the actual topics and requires deep and systematic research. On the other hand, the BOSS experiment announcement about the Hubble value parameter at z = 2.34 allows some authors to conclude that it is going to be an evidence on the existence of non-gravitational interaction between dark energy and dark matter. Concerning this, in this paper we will demonstrate that a specific form of a varying polytropic fluid can do it without requiring any non-gravitational interaction if the Hubble parameter value will be quite less than its present value reported by other missions. Actually, this fact motivates us also to consider various new forms of non-gravitational logarithmic interactions and study their cosmological and BOSS experiment result consequences. A classification of the models in the light of actively discussed Om analysis is also presented in this work allowing also to obtain some constraints on the model parameters.

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30

Babuşca, Daniela, Cezarina Ana Moroşanu, and Dana Ortansa Dorohoi. "Solvatochromic Study of Two Pyridazinium Ylids Binary Solutions." International conference KNOWLEDGE-BASED ORGANIZATION 22, no. 3 (June 1, 2016): 598–602. http://dx.doi.org/10.1515/kbo-2016-0103.

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Abstract The wavenumbers in the maximum of intramolecular charge transfer (ICT) visibile band of two pyridazinium ylids binary solutions were analized using Kamlet and Taft empirical parameters and the Hildebrand’s solubility parameter. The Hildebrand’s solubility parameter values, δH2, measures the energy needed to separate the solvent molecules. A linear solvation energy relationship (LSER) allows separating the contributions of different types of interactions to the total spectral shift. The supply of universal and specific interactions as well as the supply of solvent-solvent interactions to the total spectral shifts was calculated.

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31

Ovchinnikov, Yu N. "Superconductors with spin–orbit interactions." International Journal of Modern Physics B 30, no. 25 (September 28, 2016): 1650183. http://dx.doi.org/10.1142/s0217979216501836.

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The effect of spin-orbit (SO) interaction on the formation of the critical states in thin superconducting films in magnetic field oriented along the film is investigated. Hereby, the case of interband pairing is considered. It was found that eight branches exist in the plane of two parameters [Formula: see text] determined by the value of magnetic field and SO interaction. Six modes leads to inhomogeneous states with different values of the impulse [Formula: see text]. Each state is doubly degenerate over direction of impulse [Formula: see text]. The parameter values at critical point are found for all eight branches in explicit form for zero temperature. The optimal two branches are estimated, corresponding to largest critical magnetic field value for given SO interaction.

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Partridge, D. G., J. A. Vrugt, P. Tunved, A. M. L. Ekman, D. Gorea, and A. Sorooshian. "Inverse modeling of cloud-aerosol interactions – Part 1: Detailed response surface analysis." Atmospheric Chemistry and Physics 11, no. 14 (July 25, 2011): 7269–87. http://dx.doi.org/10.5194/acp-11-7269-2011.

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Abstract. New methodologies are required to probe the sensitivity of parameters describing cloud droplet activation. This paper presents an inverse modeling-based method for exploring cloud-aerosol interactions via response surfaces. The objective function, containing the difference between the measured and model predicted cloud droplet size distribution is studied in a two-dimensional framework, and presented for pseudo-adiabatic cloud parcel model parameters that are pair-wise selected. From this response surface analysis it is shown that the susceptibility of cloud droplet size distribution to variations in different aerosol physiochemical parameters is highly dependent on the aerosol environment and meteorological conditions. In general the cloud droplet size distribution is most susceptible to changes in the updraft velocity. A shift towards an increase in the importance of chemistry for the cloud nucleating ability of particles is shown to exist somewhere between marine average and rural continental aerosol regimes. We also use these response surfaces to explore the feasibility of inverse modeling to determine cloud-aerosol interactions. It is shown that the "cloud-aerosol" inverse problem is particularly difficult to solve due to significant parameter interaction, presence of multiple regions of attraction, numerous local optima, and considerable parameter insensitivity. The identifiability of the model parameters will be dependent on the choice of the objective function. Sensitivity analysis is performed to investigate the location of the information content within the calibration data to confirm that our choice of objective function maximizes information retrieval from the cloud droplet size distribution. Cloud parcel models that employ a moving-centre based calculation of the cloud droplet size distribution pose additional difficulties when applying automatic search algorithms for studying cloud-aerosol interactions. To aid future studies, an increased resolution of the region of the size spectrum associated with droplet activation within cloud parcel models, or further development of fixed-sectional cloud models would be beneficial. Despite these improvements, it is demonstrated that powerful search algorithms remain necessary to efficiently explore the parameter space and successfully solve the cloud-aerosol inverse problem.

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Lapesa, Gabriella, and Stefan Evert. "A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection." Transactions of the Association for Computational Linguistics 2 (December 2014): 531–46. http://dx.doi.org/10.1162/tacl_a_00201.

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This paper presents the results of a large-scale evaluation study of window-based Distributional Semantic Models on a wide variety of tasks. Our study combines a broad coverage of model parameters with a model selection methodology that is robust to overfitting and able to capture parameter interactions. We show that our strategy allows us to identify parameter configurations that achieve good performance across different datasets and tasks.

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Senthamil, Selvi C., S. Ravichandran, C. P. Malliga, C. Thenmozhi, and V. Kannappan. "Acoustical Studies and Molecular Interaction of Salicilaldehyde with Iodine in Hexane at Different Temperatures." Advanced Materials Research 1086 (February 2015): 111–19. http://dx.doi.org/10.4028/www.scientific.net/amr.1086.111.

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Ultrasonic velocity and density of salicilaldehyde with iodine in hexane has been measured at 293.15K, 298.15K, 303.15K and 308.15K in different concentration. Ultrasonic velocity has been measured using single frequency interferometer at 2MHz (Model F-81). By using the Ultrasonic velocity (u), density (ρ) and coefficient of viscosity (η) and the other acoustical parameters adiabatic compressibility (κ), free length (Lf), interaction parameter (α), Free volume (Vf) were calculated. The addition of hexane with a mixture leads to a compact structure due to presence of dipolar type interaction. This contributes to the decrease in free volume values and the internal pressure shows an increasing trend. The results have been discussed in terms of solute-solute and solute-solvent interactions between the component and the compatibility of these methods in predicting the interactions in these mixtures has also been discussed.Key Words salicilaldehyde, iodine, hexane, Ultrasonic velocity, molecular interactions.

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Linda Zakiah. "Hubungan Kecerdasan Sosial dan Hasil Belajar Siswa Kelas IV Sekolah Dasar." PARAMETER: Jurnal Pendidikan Universitas Negeri Jakarta 32, no. 1 (July 30, 2020): 30–52. http://dx.doi.org/10.21009/parameter.321.03.

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Abstrak. Kurikulum 2013 menekankan pada proses pembelajaran yang berpusat pada siswa yang lebih menekankan pada keaktifan siswa dalam proses pembelajaran. Hal ini juga didukung oleh kecerdasan sosial yang dimiliki oleh siswa itu sendiri. Di mana kecerdasan sosial akan menentukan seseorang dalam besikap, terutama berinteraksi dengan orang lain, dan dapat berpartisipasi secara aktif dan bertanggung jawab, serta bertindak secara cerdas dalam kehidupan sehari-hari. Kecerdasan sosial dapat dilihat dari siswa berinteraksi dengan orang lain dan siswa dapat membawa dirinya dengan baik dalam kehidupan bermasyarakat. Kemampuan siswa dalam berinteraksi dengan teman-temannya akan menjadi suatu motivasi dalam belajar. Oleh sebab itu siswa yang memiliki kecerdasan sosial yang tinggi, maka siswa akan memperoleh hasil belajar yangm aksimal. Tujuan penelitian untuk mengetahui ada tidaknya hubungan antara kecerdasan social dengan hasil belajar siswa kelas IV sekolah dasar. Penelitian ini menggunakan metode survey bertempat di SDN 18 Duren Sawit Jakarta Timur. Penelitian dilaksanakan selama dua bulan, yaitu mulai bulan September sampai dengan bulan Oktober pada tahun pelajaran 2016/2017. Penelitian ini berhasil menguji hipotesis yang menyatakan terdapat hubungan antara kecerdasan sosial dan hasil belajar sangat signifikan baik pada taraf signifikansi α = 0,05 maupun α = 0,01, dengan koefisien korelasi sebesar 0,969. Oleh karena koefisien korelasi yang dihasilkan bernilai positif, maka dapat disimpulkan terdapat hubungan positif antara kecerdasan social dan hasil belajar siswa. Artinya, semakin tinggi kecerdasan sosial seorang anak maka akan semakin tinggi pula hasil belajarnya, dan sebaliknya semakin rendah kecerdasan sosial seorang anak, maka akan semakin rendah pula hasil belajaranya. Keberhasilan belajar inilah wujud dari kecerdasan social yang dimiliki oleh siswa tersebut. Oleh karena itu diharapkan setiap siswa dapat meningkatkan kecerdasan sosialnya. Kata kunci: Kecerdasan sosial, interaksi siswa, hasil belajar Abstract . Curriculum 2013 places emphasis on the learning process based on students who put more emphasis on active students in the learning process. It is also supported by the social intelligence which is owned by the students themselves. Where social intelligence will determine someone in attitude, especially interacting with others, and are able to participate actively and responsibly, as well as acting intelligently in a everyday life. Social intelligence can be seen of the students interact with other people and students can carry himself well in the life of society. Students ability in interacting with his peers will be a motivation in learning. Therefore, students who have high social intelligence, then the student will obtain the results of the study are maximum. The goal of this research is to find out whether or not there is a relationship between social intelligence by learning outcomes grade IV elementary school. This research used a survey method is housed in SDN 18 Duren Sawit in East Jakarta. The research was carried out over the past two months, that began in September and ended last October in the lesson 2016/2017. This research managed to test the hypothesis that States there is a connection between learning outcomes and social intelligence very significant at both the significance level α = 0.05 or α = 0.01, the correlation coefficient of 0.969. Based on the results correlation coefficient is positive, then it can be inferred, there is a positive relationship between the social intelligence and results of student learning. That is, the higher the social intelligence of a child it will be increasingly higher results of their learning, and instead the lower the social intelligence of a child, then it will be getting lower also the results of his studies. The success of learning this is a manifestation of social intelligence that is owned by the student. It is therefore expected that every student can improve his social intelligence. Keywords : Social Intelligence, student interactions, the results of the study

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Yu, Feng, and Ling-Xiao Fu. "Comparison of one-parameter and linearly scaled one-parameter double-hybrid density functionals for noncovalent interactions." International Journal of Quantum Chemistry 116, no. 15 (April 21, 2016): 1166–72. http://dx.doi.org/10.1002/qua.25151.

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Grabarnik, P. Ya. "Parameter estimation methods for random point fields with local interactions." Computer Research and Modeling 8, no. 2 (April 2016): 323–32. http://dx.doi.org/10.20537/2076-7633-2016-8-2-323-332.

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Buffoni, G., and G. Gilioli. "A lumped parameter model for acarine predator–prey population interactions." Ecological Modelling 170, no. 2-3 (December 2003): 155–71. http://dx.doi.org/10.1016/s0304-3800(03)00223-0.

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de Bournonville, Sébastien, Antoine Pironet, Chris Pretty, J. Geoffrey Chase, and Thomas Desaive. "Parameter estimation in a minimal model of cardio-pulmonary interactions." Mathematical Biosciences 313 (July 2019): 81–94. http://dx.doi.org/10.1016/j.mbs.2019.05.003.

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Eshuis, Henk, and Filipp Furche. "A Parameter-Free Density Functional That Works for Noncovalent Interactions." Journal of Physical Chemistry Letters 2, no. 9 (April 11, 2011): 983–89. http://dx.doi.org/10.1021/jz200238f.

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Cerchez, N., A. Stancu, and P. R. Bissell. "Preisach parameter identification for systems with negative mean field interactions." IEEE Transactions on Magnetics 38, no. 5 (September 2002): 2412–14. http://dx.doi.org/10.1109/tmag.2002.803610.

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CYNOLTER, G., E. LENDVAI, and G. POCSIK. "ρ PARAMETER IN THE VECTOR CONDENSATE MODEL OF ELECTROWEAK INTERACTIONS." Modern Physics Letters A 09, no. 18 (June 14, 1994): 1701–5. http://dx.doi.org/10.1142/s0217732394001544.

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In the standard model of electroweak interactions the Higgs doublet is replaced by a doublet of vector bosons and the gauge symmetry is broken dynamically. This generates masses for the gauge bosons and fermions as well as it fixes the interactions in the model. The model has a low momentum scale. In this note we show that the model survives the test of the ρ parameter, and to each momentum scale ρ chooses a possible range of vector boson masses.

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Romero, A. A., H. C. Zini, and G. Rattá. "Modelling input parameter interactions in the possibilistic harmonic load flow." IET Generation, Transmission & Distribution 6, no. 6 (2012): 528. http://dx.doi.org/10.1049/iet-gtd.2011.0526.

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White, Mary Anne, Christoph Meingast, William I. F. David, and Takasuke Matsuo. "Anharmonic interactions in C60, as determined by the Grüneisen parameter." Solid State Communications 94, no. 6 (May 1995): 481–84. http://dx.doi.org/10.1016/0038-1098(94)00902-3.

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Ama, Njoku O. "One Parameter Model for Three-Factor Interactions in Contingency Tables." Biometrical Journal 36, no. 7 (1994): 855–64. http://dx.doi.org/10.1002/bimj.4710360708.

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Preuss, Roland, Rodrigo Arredondo, and Udo von Toussaint. "Bayesian Determination of Parameters for Plasma-Wall Interactions." Entropy 21, no. 12 (November 29, 2019): 1175. http://dx.doi.org/10.3390/e21121175.

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Within the Bayesian framework a non-intrusive uncertainty quantification is performed to assess the uncertainty of ion–solid interaction simulations. For this we employ a reduced-order spectral expansion approach which is capable of confining the number of model runs to a feasible size. Moreover, the method facilitates sensitivity examinations regarding to input parameters of the model. It is applied to the ion–solid simulation program SDTrimSP with several uncertain but normally distributed input parameters, i.e., impact angle α , projectile energy E 0 , and surface binding energy E s b . Consequently, the otherwise hardly accessible model parameter E s b can be estimated in combination with recently acquired experimental data.

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Dong, Fang, and T. N. Goh. "Impact of Unspecified Interactions on the Effectiveness of Taguchi's Parameter Design." International Journal of Reliability, Quality and Safety Engineering 05, no. 04 (December 1998): 373–82. http://dx.doi.org/10.1142/s0218539398000315.

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The common version of Genichi Taguchi's parameter design entails a marginal analysis procedure for determining parameter settings that will maximize or minimize a response. Unless all significant parameter interactions are known a priori and provided for in the orthogonal array of the parameter design experiment, conclusions drawn from marginal analysis will not necessarily be correct. In this paper, the probability that the routine parameter design procedure will actually succeed in realizing the optimization objective is discussed, followed by illustrations based on data from the commonly cited literature.

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Wang, Ming, Neil White, Jim Hanan, Di He, Enli Wang, Bronwen Cribb, Darren J. Kriticos, Dean Paini, and Volker Grimm. "Parameter estimation for functional–structural plant models when data are scarce: using multiple patterns for rejecting unsuitable parameter sets." Annals of Botany 126, no. 4 (January 31, 2020): 559–70. http://dx.doi.org/10.1093/aob/mcaa016.

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Abstract Background and Aims Functional–structural plant (FSP) models provide insights into the complex interactions between plant architecture and underlying developmental mechanisms. However, parameter estimation of FSP models remains challenging. We therefore used pattern-oriented modelling (POM) to test whether parameterization of FSP models can be made more efficient, systematic and powerful. With POM, a set of weak patterns is used to determine uncertain parameter values, instead of measuring them in experiments or observations, which often is infeasible. Methods We used an existing FSP model of avocado (Persea americana ‘Hass’) and tested whether POM parameterization would converge to an existing manual parameterization. The model was run for 10 000 parameter sets and model outputs were compared with verification patterns. Each verification pattern served as a filter for rejecting unrealistic parameter sets. The model was then validated by running it with the surviving parameter sets that passed all filters and then comparing their pooled model outputs with additional validation patterns that were not used for parameterization. Key Results POM calibration led to 22 surviving parameter sets. Within these sets, most individual parameters varied over a large range. One of the resulting sets was similar to the manually parameterized set. Using the entire suite of surviving parameter sets, the model successfully predicted all validation patterns. However, two of the surviving parameter sets could not make the model predict all validation patterns. Conclusions Our findings suggest strong interactions among model parameters and their corresponding processes, respectively. Using all surviving parameter sets takes these interactions into account fully, thereby improving model performance regarding validation and model output uncertainty. We conclude that POM calibration allows FSP models to be developed in a timely manner without having to rely on field or laboratory experiments, or on cumbersome manual parameterization. POM also increases the predictive power of FSP models.

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Hidalgo-Duque, Carlos, and Felipe J. Llanes-Estrada. "Soft interactions in jet quenching." International Journal of Modern Physics A 30, no. 13 (May 4, 2015): 1550067. http://dx.doi.org/10.1142/s0217751x15500670.

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We study the collisional aspects of jet quenching in a high-energy nuclear collision, especially in the final state pion gas. The jet has a large energy, and acquires momentum transverse to its axis more effectively by multiple soft collisions than by few hard scatterings (as known from analogous systems such as J/ψ production at Hera). Such regime of large E and small momentum transfer corresponds to Regge kinematics and is characteristically dominated by the pomeron. From this insight we estimate the jet quenching parameter in the hadron medium (largely a pion gas) at the end of the collision, which is naturally small and increases with temperature in line with the gas density and compare it to the jet quenching parameter obtained within the quark–gluon plasma (QGP) phase in widely known perturbative approximations. The physics in the quark–gluon plasma/liquid phase is less obvious, and here we revisit a couple of simple estimates that suggest indeed that the pomeron-mediated interactions are very relevant and should be included in analysis of the jet quenching parameter. Finally, since the occasional hard collisions produce features characteristic of a Lèvy flight in the [Formula: see text] plane perpendicular to the jet axis, we suggest one- and two-particle q⊥correlations as interesting experimental probes sensitive to the nature (softness versus hardness) of the interactions of a jet inside the QGP.

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Partridge, D. G., J. A. Vrugt, P. Tunved, A. M. L. Ekman, D. Gorea, and A. Sorooshian. "Towards inverse modeling of cloud-aerosol interactions – Part 1: A detailed response surface analysis." Atmospheric Chemistry and Physics Discussions 11, no. 2 (February 9, 2011): 4749–806. http://dx.doi.org/10.5194/acpd-11-4749-2011.

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Abstract. This paper explores the feasibility of inverse modeling to determine cloud-aerosol interactions using a pseudo-adiabatic cloud-parcel model. Two-dimensional plots of the objective function, containing the difference between the measured and model predicted droplet size distribution, are presented for selected pairs of cloud parcel model parameters. From these response surfaces it is shown that the "cloud-aerosol" inverse problem is particularly difficult to solve due to significant parameter interaction, presence of multiple regions of attractions, numerous local optima, and considerable parameter insensitivity. Sensitivity analysis is performed to help select an appropriate objective function that maximizes information retrieval from the measured droplet size distribution to help identify the unknown model parameters. The identifiability of the model parameters will be dependent on the choice of the objective function; including the interstitial aerosol will aid the calibration of parameters describing the smaller aerosol mode. Cloud parcel models that employ a moving-centre based calculation of the droplet size distribution require both the X and Y components of the dN/dlogdp size distribution function to be explicitly included in the objective function. Other possible improvements identified include an improved representation of the resolution of the region of the size spectrum associated with droplet activation within cloud parcel models, and further development of fixed-sectional cloud models that minimize numerical diffusion. Despite these developments, powerful search algorithms remain necessary to efficiently explore the parameter space and successfully solve the cloud-aerosol inverse problem.

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