300 results found
David I, Kohnke P, Fehrenbach J, et al., 2018, New objective measurements of semen wave motion are associated with fertility in sheep, Reproduction, Fertility and Development, Vol: 30, Pages: 889-896, ISSN: 1031-3613
In sheep, wave motion in semen is currently used by AI centres to select ejaculates for insemination. Despite its low cost, convenience and established ability to predict fertility, the subjectivity of this assessment is a limiting factor for its applicability. The aims of the present study were to establish an objective method for the analysis of wave motion and to assess the associations of objective parameters with fertility after cervical insemination. Collective sperm motion in undiluted semen was observed by phase contrast microscopy at low magnification in a 100-µm deep glass chamber. Images of moving dark waves over a grey background were recorded and analysed by the optic flow method, producing several velocity-related parameters. Turbulence was assessed from the motion of fluorescent polystyrene beads. Among objective parameters, optical flow entropy and the average speed of beads were both able to discriminate ejaculates suitable for insemination. Two synthetic variables of optic flow and bead motion and a global objective variable were computed from linear combinations of individual parameters and compared with the subjective motion score for their predictive value. These were as efficient as the wave motion score for assessing fertility and can be proposed for the assessment of ram semen in routine AI procedures.
Degond PAA, Frouvelle A, Merino Aceituno S, et al., 2018, Quaternions in collective dynamics, Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Vol: 16, Pages: 28-77, ISSN: 1540-3459
We introduce a model of multiagent dynamics for self-organized motion; individuals travel at a constant speed while trying to adopt the averaged body attitude of their neighbors. The body attitudes are represented through unitary quaternions. We prove the correspondence with the model presented in [P. Degond, A. Frouvelle, and S. Merino-Aceituno, Math. Models Methods Appl. Sci., 27 (2017), pp. 1005--1049], where the body attitudes are represented by rotation matrices. Differently from this previous work, the individual-based model introduced here is based on nematic (rather than polar) alignment. From the individual-based model, the kinetic and macroscopic equations are derived. The benefit of this approach, in contrast to that of the previous one, is twofold: first, it allows for a better understanding of the macroscopic equations obtained and, second, these equations are prone to numerical studies, which is key for applications.
Blanchet A, Degond PAA, 2017, Kinetic models for topological nearest-neighbor interactions, Journal of Statistical Physics, Vol: 169, Pages: 929-950, ISSN: 1572-9613
We consider systems of agents interacting through topological interactions. Thesehave been shown to play an important part in animal and human behavior. Precisely, thesystem consists of a finite number of particles characterized by their positions and velocities.At random times a randomly chosen particle, the follower, adopts the velocity of its closestneighbor, the leader. We study the limit of a system size going to infinity and, under theassumption of propagation of chaos, show that the limit kinetic equation is a non-standardspatial diffusion equation for the particle distribution function. We also study the case whereinthe particles interact with their K closest neighbors and show that the corresponding kineticequation is the same. Finally, we prove that these models can be seen as a singular limitof the smooth rank-based model previously studied in Blanchet and Degond (J Stat Phys163:41–60, 2016). The proofs are based on a combinatorial interpretation of the rank as wellas some concentration of measure arguments.
Barré J, Degond PAA, Zatorska E, 2017, Kinetic theory of particle interactions mediated by dynamical networks, Multiscale Modeling & Simulation, Vol: 15, Pages: 1294-1323, ISSN: 1540-3467
We provide a detailed multiscale analysis of a system of particles interacting through a dynamical network of links. Starting from a microscopic model, via the mean field limit, we formally derive coupled kinetic equations for the particle and link densities, following the approach of [Degond et al., M3AS, 2016]. Assuming that the process of remodelling the network is very fast,we simplify the description to a macroscopic model taking the form of single aggregation-diffusion equation for the density of particles. We analyze qualitatively this equation, addressing the stability of a homogeneous distribution of particles for a general potential. For the Hookean potential we obtain a precise condition for the phase transition, and, using the central manifold reduction, we characterize the type of bifurcation at the instability onset.
Leroy-Lerêtre M, Dimarco G, Cazalès M, et al., 2017, Are tumor cell lineages solely shaped by mechanical forces?, Bulletin of Mathematical Biology, Vol: 79, Pages: 2356-2393, ISSN: 1522-9602
This paper investigates cell proliferation dynamics in small tumor cell aggregates using an individual-based model (IBM). The simulation model is designed to study the morphology of the cell population and of the cell lineages as well as the impact of the orientation of the division plane on this morphology. Our IBM model is based on the hypothesis that cells are incompressible objects that grow in size and divide once a threshold size is reached, and that newly born cell adhere to the existing cell cluster. We performed comparisons between the simulation model and experimental data by using several statistical indicators. The results suggest that the emergence of particular morphologies can be explained by simple mechanical interactions.
Barré J, Carrillo de la plata J, Degond PAA, et al., 2017, Particle interactions mediated by dynamical networks: assessment ofmacroscopic descriptions, Journal of Nonlinear Science, Vol: 28, Pages: 235-268, ISSN: 0938-8974
We provide a numerical study of the macroscopic model of Barré et al.(Multiscale Model Simul, 2017, to appear) derived from an agent-based model for asystem of particles interacting through a dynamical network of links. Assuming thatthe network remodeling process is very fast, the macroscopic model takes the formof a single aggregation–diffusion equation for the density of particles. The theoreticalstudy of the macroscopic model gives precise criteria for the phase transitions ofthe steady states, and in the one-dimensional case, we show numerically that thestationary solutions of the microscopic model undergo the same phase transitions andbifurcation types as the macroscopic model. In the two-dimensional case, we show that the numerical simulations of the macroscopic model are in excellent agreement withthe predicted theoretical values. This study provides a partial validation of the formalderivation of the macroscopic model from a microscopic formulation and shows thatthe former is a consistent approximation of an underlying particle dynamics, makingit a powerful tool for the modeling of dynamical networks at a large scale.
Peurichard D, Delebecque F, Lorsignol A, et al., 2017, Simple mechanical cues could explain adipose tissue morphology, Journal of Theoretical Biology, Vol: 429, Pages: 61-81, ISSN: 1095-8541
The mechanisms by which organs acquire their functional structure and realize its maintenance (or homeostasis) over time are still largely unknown. In this paper, we investigate this question on adipose tissue. Adipose tissue can represent 20 to 50% of the body weight. Its investigation is key to overcome a large array of metabolic disorders that heavily strike populations worldwide. Adipose tissue consists of lobular clusters of adipocytes surrounded by an organized collagen fiber network. By supplying substrates needed for adipogenesis, vasculature was believed to induce the regroupment of adipocytes near capillary extremities. This paper shows that the emergence of these structures could be explained by simple mechanical interactions between the adipocytes and the collagen fibers. Our assumption is that the fiber network resists the pressure induced by the growing adipocytes and forces them to regroup into clusters. Reciprocally, cell clusters force the fibers to merge into a well-organized network. We validate this hypothesis by means of a two-dimensional Individual Based Model (IBM) of interacting adipocytes and extra-cellular-matrix fiber elements. The model produces structures that compare quantitatively well to the experimental observations. Our model seems to indicate that cell clusters could spontaneously emerge as a result of simple mechanical interactions between cells and fibers and surprisingly, vasculature is not directly needed for these structures to emerge.
Degond PAA, Frouvelle A, Merino-Aceituno S, 2017, A new flocking model through body attitude coordination, Mathematical Models & Methods in Applied Sciences, Vol: 27, ISSN: 1793-6314
We present a new model for multi-agent dynamics where each agent is described byits position and body attitude: agents travel at a constant speed in a given directionand their body can rotate around it adopting di erent con gurations. In this manner,the body attitude is described by three orthonormal axes giving an element inSO(3)(rotation matrix). Agents try to coordinate their body attitudes with the ones of theirneighbours. In the present paper, we give the Individual Based Model (particle model) for this dynamics and derive its corresponding kinetic and macroscopic equations.
Degond PAA, Engel M, 2017, Numerical approximation of a coagulation-fragmentation model for animal group size statistics, Networks and Heterogeneous Media, Vol: 12, Pages: 217-243, ISSN: 1556-181X
We study numerically a coagulation-fragmentation model derivedby Niwa  and further elaborated by Degond et al. . In  a unique equi-librium distribution of group sizes is shown to exist in both cases of continuousand discrete group size distributions. We provide a numerical investigation ofthese equilibria using three different methods to approximate the equilibrium:a recursive algorithm based on the work of Ma et. al. , a Newton methodand the resolution of the time-dependent problem. All three schemes are val-idated by showing that they approximate the predicted small and large sizeasymptotic behaviour of the equilibrium accurately. The recursive algorithm isused to investigate the transition from discrete to continuous size distributionsand the time evolution scheme is exploited to show uniform convergence toequilibrium in time and to determine convergence rates.
Degond PAA, Herty M, Liu JG, 2017, Meanfield games and model predictive control, Communications in Mathematical Sciences, Vol: 15, Pages: 1403-1422, ISSN: 1945-0796
Mean-Field Games are games with a continuum of players that incorporate the time-dimension through a control-theoretic approach. Recently, simpler approaches relying on the BestReply Strategy have been proposed. They assume that the agents navigate their strategies towardstheir goal by taking the direction of steepest descent of their cost function (i.e. the opposite of theutility function). In this paper, we explore the link between Mean-Field Games and the Best ReplyStrategy approach. This is done by introducing a Model Predictive Control framework, which consistsof setting the Mean-Field Game over a short time interval which recedes as time moves on. We showthat the Model Predictive Control offers a compromise between a possibly unrealistic Mean-Field Gameapproach and the sub-optimal Best Reply Strategy.
Degond PAA, Deluzet F, 2017, Asymptotic-Preserving methods and multiscale models for plasma physics, Journal of Computational Physics, Vol: 336, Pages: 429-457, ISSN: 0021-9991
The purpose of the present paper is to provide an overview of Asymptotic-Preserving methods for multiscale plasma simulations by addressing three sin-gular perturbation problems. First, the quasi-neutral limit of fluid and kineticmodels is investigated in the framework of non magnetized aswell as magne-tized plasmas. Second, the drift limit for fluid descriptions of thermal plasmasunder large magnetic fields is addressed. Finally efficient numerical resolutionsof anisotropic elliptic or diffusion equations arising in magnetized plasma simu-lation are reviewed.
Degond PAA, Manhart A, Yu H, 2017, A continuum model for nematic alignment of self-propelled particles, Discrete and Continuous Dynamical Systems - Series B, Vol: 22, Pages: 1295-1327, ISSN: 1553-524X
A continuum model for a population of self-propelled particlesinteracting through nematic alignment is derived from an individual-based model. The methodology consists of introducing a hydrodynamic scaling of the corresponding mean field kinetic equation. The resulting perturbation problem is solved thanks to the concept of generalized collision invariants. It yields a hyperbolic but non-conservative system of equations for the nematicmean direction of the ow and the densities of particles owing parallel or anti-parallel to this mean direction. Diffusive terms are introduced under a weakly non-local interaction assumption and the diffusion coefficient is proven to be positive. An application to the modeling of myxobacteria is outlined.
Chertock A, Degond PAA, Neusser J, 2017, An asymptotic-preserving method for a relaxation of the NavierStokes-Korteweg equations, Journal of Computational Physics, Vol: 335, Pages: 387-4003, ISSN: 0021-9991
The Navier-Stokes-Korteweg (NSK) equations are a classical diffuse-interfacemodel for compressible two-phase flows. As direct numericalsimulations basedon the NSK system are quite expensive and in some cases even impossible, weconsider a relaxation of the NSK system, for which robust numerical methodscan be designed. However, time steps for explicit numericalschemes depend onthe relaxation parameter and therefore numerical simulations in the relaxationlimit are very inefficient. To overcome this restriction, we propose an implicit-explicit asymptotic-preserving finite volume method. We prove that the newscheme provides a consistent discretization of the NSK system in the relaxationlimit and demonstrate that it is capable of accurately and efficiently computingnumerical solutions of problems with realistic density ratios and small interfacialwidths.
Degond P, Liu J-G, Merino-Aceituno S, et al., 2017, Continuum dynamics of the intention field under weakly cohesive social interaction, Mathematical Models and Methods in Applied Sciences, Vol: 27, ISSN: 1793-6314
We investigate the long-time dynamics of an opinion formation model inspired by a work by Borghesi, Bouchaud and Jensen. First, we derive a Fokker–Planck-type equation under the assumption that interactions between individuals produce little consensus of opinion (grazing collision approximation). Second, we study conditions under which the Fokker–Planck equation has non-trivial equilibria and derive the macroscopic limit (corresponding to the long-time dynamics and spatially localized interactions) for the evolution of the mean opinion. Finally, we compare two different types of interaction rates: the original one given in the work of Borghesi, Bouchaud and Jensen (symmetric binary interactions) and one inspired from works by Motsch and Tadmor (non-symmetric binary interactions). We show that the first case leads to a conservative model for the density of the mean opinion whereas the second case leads to a non-conservative equation. We also show that the speed at which consensus is reached asymptotically for these two rates has fairly different density dependence.
Degond PAA, Peurichard D, 2017, Modelling tissue self-organization: from micro to macro models, Lecture Notes in Computational Science and Engineering, Vol: 122, Pages: 93-108, ISSN: 1439-7358
In this chapter, we present recent works concerned with the derivation of a macroscopic model for complex interconnected fiber networks from an agent-based model, with applications to, but not limited to, adipose tissue self-organization. Starting from an agent-based model for interconnected fibers interacting through alignment interactions and having the ability to create and suppress cross-links, the formal limit of large number of individuals is first investigated. It leads to a kinetic system of two equations: one for the individual fiber distribution function and one for the distribution function of connected fiber pairs. The hydrodynamic limit, in a regime of instantaneous fiber linking/unlinking then leads to a macroscopic model describing the evolution of the fiber local density and mean orientation. These works are the first attempt to derive a macroscopic model for interconnected fibers from an agent-based formulation and represent a first step towards the formulation of a large scale synthetic tissue model which will serve for the investigation of large scale effects in tissue homeostasis.
Degond PAA, Ferreira MA, Motsch S, 2016, Damped Arrow-Hurwicz algorithm for sphere packing, Journal of Computational Physics, Vol: 332, Pages: 47-65, ISSN: 1090-2716
We consider algorithms that, from an arbitrarily sampling ofNspheres(possibly overlapping), nd a close packed con guration without overlapping.These problems can be formulated as minimization problems with non-convexconstraints. For such packing problems, we observe that the classical iterativeArrow-Hurwicz algorithm does not converge. We derive a novel algorithmfrom a multi-step variant of the Arrow-Hurwicz scheme with damping. Wecompare this algorithm with classical algorithms belonging to the class oflinearly constrained Lagrangian methods and show that it performs better.We provide an analysis of the convergence of these algorithms in the simplecase of two spheres in one spatial dimension. Finally, we investigate thebehaviour of our algorithm when the number of spheres is large in two andthree spatial dimensions.
Degond PAA, Deluzet F, Doyen D, 2016, Asymptotic-Preserving Particle-In-Cell methods for the Vlasov-Maxwell system in the quasi-neutral limit, Journal of Computational Physics, Vol: 330, Pages: 467-492, ISSN: 0021-9991
In this article, we design Asymptotic-Preserving Particle-In-Cell methods for the Vlasov-Maxwell system inthe quasi-neutral limit, this limit being characterized by a Debye length negligible compared to the space scaleof the problem. These methods are consistent discretizations of the Vlasov-Maxwell system which, in thequasi-neutral limit, remain stable and are consistent with a quasi-neutral model (in this quasi-neutral model,the electric eld is computed by means of a generalized Ohm law). The derivation of Asymptotic-Preservingmethods is not straightforward since the quasi-neutral model is a singular limit of the Vlasov-Maxwell model.The key step is a reformulation of the Vlasov-Maxwell system which uni es the two models in a single setof equations with a smooth transition from one to another. As demonstrated in various and demandingnumerical simulations, the Asymptotic-Preserving methods are able to treat efficiently both quasi-neutralplasmas and non-neutral plasmas, making them particularly well suited for complex problems involving denseplasmas with localized non-neutral regions.
Degond PAA, Henkes S, Yu H, 2016, Self-organized Hydrodynamics with density-dependent velocity, Kinetic and Related Models, Vol: 10, Pages: 193-213, ISSN: 1937-5093
Motivated by recent experimental and computational results thatshow a motility-induced clustering transition in self-propelled particle systems,we study an individual model and its corresponding Self-Organized Hydrodynamicmodel for collective behaviour that incorporates a density-dependentvelocity, as well as inter-particle alignment. The modal analysis of the hydrodynamicmodel elucidates the relationship between the stability of the equilibriaand the changing velocity, and the formation of clusters. We find, in agreementwith earlier results for non-aligning particles, that the key criterion for stabilityis (ρv(ρ))0 ≥ 0, i.e. a nondecreasing mass flux ρv(ρ) with respect to the density.Numerical simulation for both the individual and hydrodynamic modelswith a velocity function inspired by experiment demonstrates the validity ofthe theoretical results.
Degond PAA, Filbet F, 2016, On the asymptotic limit of the three dimensional Vlasov-Poisson system for large magnetic field : formal derivation., Journal of Statistical Physics, Vol: 165, Pages: 765-784, ISSN: 0022-4715
In this paper we establish the asymptotic limit of the three dimensional Vlasov–Poissonequation with strong external magnetic field. The guiding center approximation is investigated inthe three dimensional case with a non-constant magnetic field. In the long time asymptotic limit,the motion can be split in two parts : one stationary flow along the lines of the magnetic fieldand the guiding center motion in the orthogonal plane of the magnetic field where classical driftvelocities and invariants (magnetic moment) are recovered.
Creppy A, Plouraboué F, Praud O, et al., 2016, Symmetry-breaking phase-transitions in highly concentrated semen, Journal of the Royal Society Interface, Vol: 13, ISSN: 1742-5689
New experimental evidence of self-motion of aconfined active suspension is presented. Depositingfresh semen sample in an annular shaped micro-fluidic chip leads to a spontaneous vortex state ofthe fluid at sufficiently large sperm concentration.The rotation occurs unpredictably clockwise orcounterclockwise and is robust and stable. Furthermore,for highly active and concentrated semen, richerdynamics can occur such as self-sustained or dampedrotation oscillations. Experimental results obtainedwith systematic dilution provide a clear evidence of aphase transition toward collective motion associatedwith local alignment of spermatozoa akin to theVicsek model. A macroscopic theory based onpreviously derived Self-Organized Hydrodynamics(SOH) models is adapted to this context and providespredictions consistent with the observed stationarymotion.
Degond P, Liu J-G, Pego RL, 2016, Coagulation-fragmentation model for animal group-size statistics, Journal of Nonlinear Science, Vol: 27, Pages: 379-424, ISSN: 1432-1467
We study coagulation-fragmentation equations inspired by a simple modelproposed in fisheries science to explain data for the size distribution ofschools of pelagic fish. Although the equations lack detailed balance and admitno $H$-theorem, we are able to develop a rather complete description ofequilibrium profiles and large-time behavior, based on recent developments incomplex function theory for Bernstein and Pick functions. In thelarge-population continuum limit, a scaling-invariant regime is reached inwhich all equilibria are determined by a single scaling profile. This universalprofile exhibits power-law behavior crossing over from exponent $-\frac23$ forsmall size to $-\frac32$ for large size, with an exponential cut-off.
Barbaro ABT, Canizo JA, Carrillo de la plata J, et al., 2016, Phase Transitions in a Kinetic Flocking Model of Cucker-Smale Type, Multiscale Modeling & Simulation, Vol: 14, Pages: 1063-1088, ISSN: 1540-3467
We consider a collective behavior model in which individuals try to imitate each others' velocity and have a preferred speed. We show that a phase change phenomenon takes place as diffusion decreases, bringing the system from a “disordered” to an “ordered” state. This effect is related to recently noticed phenomena for the diffusive Vicsek model. We also carry out numerical simulations of the system and give further details on the phase transition.
Blanchet A, Degond PAA, 2016, Topological interactions in a Boltzmann-type framework, Journal of Statistical Physics, Vol: 163, Pages: 41-60, ISSN: 1572-9613
We consider a finite number of particles characterised by their positionsand velocities. At random times a randomly chosen particle, the follower,adopts the velocity of another particle, the leader. The follower choosesits leader according to the proximity rank of the latter with respect to theformer. We study the limit of a system size going to infinity and, under theassumption of propagation of chaos, show that the limit equation is akinto the Boltzmann equation. However, it exhibits a spatial non-localityinstead of the classical non-locality in velocity space. This result relies onthe approximation properties of Bernstein polynomials. We illustrate thedynamics with numerical simulations.
Degond P, Delebecque F, Peurichard D, 2015, Continuum model for linked fibers with alignment interactions, Mathematical Models and Methods in Applied Sciences, Vol: 26, ISSN: 0218-2025
We introduce an individual-based model for fiber elements having the abilityto cross-link or unlink each other and to align with each other at the cross links.We first formally derive a kinetic model for the fiber and cross-links distributionfunctions. We then consider the fast linking/unlinking regime in which the modelcan be reduced to the fiber distribution function only and investigate its diffusionlimit. The resulting macroscopic model consists of a system of nonlinear diffusionequations for the fiber density and mean orientation. In the case of a homogeneousfiber density, we show that the model is elliptic.
Muljadi B, Narski J, Lozinski A, et al., 2015, Non-conforming multiscale finite element method for stokes flows in heterogeneous media. Part I: Methodologies and numerical experiments, Multiscale Modeling & Simulation, Vol: 13, Pages: 1146-1172, ISSN: 1540-3467
The Multiscale Finite Element Method (MsFEM) is developed in the vein of Crouzeix-Raviart element for solving viscous incompressible ows in genuine heterogeneous media. Such owsare relevant in many branches of engineering, often at multiple scales and at regions where analyticalrepresentations of the microscopic features of the ows are often unavailable. Full accounts to theseproblems heavily depend on the geometry of the system under consideration and are computationallyexpensive. Therefore, a method capable of solving multiscale features of the ow without con ningitself to ne scale calculations is sought after.The approximation of boundary condition on coarse element edges when computing the multiscalebasis functions critically inuences the eventual accuracy of any MsFEM approaches. The weaklyenforced continuity of Crouzeix - Raviart function space across element edges leads to a naturalboundary condition for the multiscale basis functions which relaxes the sensitivity of our method tocomplex patterns of obstacles exempt from the needs of implementing any oversampling techniques.Additionally, the application of penalization method makes it possible to avoid complex unstructureddomain and allows extensive use of simpler Cartesian meshes.Key words. Crouzeix-Raviart Element, Multiscale Finite Element Method, Stokes Equations,Penalization Method
Degond P, Fibich G, Piccoli B, et al., 2015, SPECIAL ISSUE ON MODELING AND CONTROL IN SOCIAL DYNAMICS, NETWORKS AND HETEROGENEOUS MEDIA, Vol: 10, Pages: I-II, ISSN: 1556-1801
Degond P, Navoret L, 2015, A multi-layer model for self-propelled disks interacting through alignment and volume exclusion, Mathematical Models and Methods in Applied Science, Vol: 25, Pages: 2439-2475, ISSN: 0218-2025
We present an individual-based model describing disk-like self-propelled particles movinginside parallel planes. The disk directions of motion follow alignment rules insideeach layer. Additionally, the disks are subject to interactions with those of the neighboringlayers arising from volume exclusion constraints. These interactions affect the diskinclinations with respect to the plane of motion. We formally derive a macroscopic modelcomposed of planar self-organized hydrodynamic (SOH) models describing the transportof mass and evolution of mean direction of motion of the disks in each plane, supplementedwith transport equations for the mean disk inclination. These planar modelsare coupled due to the interactions with the neighboring planes. Numerical comparisonsbetween the individual-based and macroscopic models are carried out. These modelscould be applicable, for instance, to describe sperm-cell collective dynamics.
David I, Kohnke P, Lagriffoul G, et al., 2015, Mass sperm motility is associated with fertility in sheep, Animal Reproduction Science, Vol: 161, Pages: 75-81, ISSN: 0378-4320
The study was to focus on the relationship between wave motion (mass sperm motility, measured by a mass sperm motility score, manually assessed by artificial insemination (AI) center operators) and fertility in male sheep. A dataset of 711,562 artificial inseminations performed in seven breeds by five French AI centers during the 2001 to 2005 time period was used for the analysis. Factors influencing the outcome of the insemination, which is a binary response observed at lambing of either success (1) or failure (0), were studied using a joint model within each breed and AI center (eight separate analyses). The joint model is a multivariate model where all information related to the female, the male and the insemination process were included to improve the estimation of the factor effects. Results were consistent for all analyses. The male factors affecting AI results were the age of the ram and the mass motility. After correction for the other factors of variation, the lambing rate increased quasi linearly from three to more than ten points with the mass sperm motility score depending on the breed and the AI center. The consistency of the relationship for all breeds indicated that mass sperm motility is predictive of the fertility resulting when sperm are used from a specific ejaculate. Nonetheless, predictability could be improved if an objective measurement of mass sperm motility were available as a substitute for the subjective scoring currently in use in AI centers.
Fehrenbach J, Narski J, Hua J, et al., 2015, Time-delayed follow-the-leader model for pedestrians walking in line, Networks and Heterogeneous Media, Vol: 10, Pages: 579-608, ISSN: 1556-181X
We use the results of a pedestrian tracking experiment to identify a follow-the-leader model for pedestrians walking-in-line. We demonstrate the existence of a time-delay between a subject's response and the predecessor's corresponding behavior. This time-delay induces an instability which can be damped out by a suitable relaxation. By comparisons with the experimental data, we show that the model reproduces well the emergence of large-scale structures such as congestions waves. The resulting model can be used either for modeling pedestrian queuing behavior or can be incorporated into bi-dimensional models of pedestrian traffic.
Carlen E, Carvalho MC, Degond P, et al., 2015, A Boltzmann model for rod alignment and schooling fish, Nonlinearity, Vol: 28, Pages: 1783-1803, ISSN: 1361-6544
We consider a Boltzmann model introduced by Bertin, Droz and Grégoire as a binary interaction model of the Vicsek alignment interaction. This model considers particles lying on the circle. Pairs of particles interact by trying to reach their mid-point (on the circle) up to some noise. We study the equilibria of this Boltzmann model and we rigorously show the existence of a pitchfork bifurcation when a parameter measuring the inverse of the noise intensity crosses a critical threshold. The analysis is carried over rigorously when there are only finitely many non-zero Fourier modes of the noise distribution. In this case, we can show that the critical exponent of the bifurcation is exactly 1/2. In the case of an infinite number of non-zero Fourier modes, a similar behavior can be formally obtained thanks to a method relying on integer partitions first proposed by Ben-Naïm and Krapivsky.
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