Pathogen Emergence As Complex Biological Invasion: Lessons From Dynamical Systems Modeling,
2023
Yale University
Pathogen Emergence As Complex Biological Invasion: Lessons From Dynamical Systems Modeling, Sudam Surasinghe, Marisabel Rodriguez, Victor Meszaros, Jane Molofksy, Salvador Almagro-Moreno, Brandon Ogbunugafor
Northeast Journal of Complex Systems (NEJCS)
Infectious disease emergence has become the target of cross-disciplinary efforts
that aim to understand and predict the shape of outbreaks. The many challenges
involved with the prediction of disease emergence events is a characteristic that in-
fectious diseases share with biological invasions in many subfields of ecology (e.g.,
how certain plants are able to successfully invade a new niche). Like infectious
diseases, biological invasions by plants and animals involve interactions between
agents (pathogens and plants in their respective cases) and a recipient niche. In
this study, we examine the problem of pathogen emergence through the lens of a
framework first …
Temporality-Induced Chaos In The Kuramoto Model,
2023
Toronto Metropolitan University, Toronto, Canada
Temporality-Induced Chaos In The Kuramoto Model, Keanu Mason Rock, Hamza Dirie, Sean P. Cornelius
Northeast Journal of Complex Systems (NEJCS)
Switched dynamical systems have been extensively studied in engineering literature in the context of system control. In these systems, the dynamical laws change between different subsystems depending on the environment, a process that is known to produce emergent behaviors---notably chaos. These dynamics are analogous to those of temporal networks, in which the network topology changes over time, thereby altering the dynamics on the network. It stands to reason that temporal networks may therefore produce emergent chaos and other exotic behaviors unanticipated in static networks, yet concrete examples remain elusive. Here, we present a minimal example of a networked system in …
Extending The Spectral Difference Method With Divergence Cleaning (Sddc) To The Hall Mhd Equations,
2023
Clarkson University
Extending The Spectral Difference Method With Divergence Cleaning (Sddc) To The Hall Mhd Equations, Russell J. Hankey, Kuangxu Chen, Chunlei Liang
Northeast Journal of Complex Systems (NEJCS)
The Hall Magnetohydrodynamic (MHD) equations are an extension of the standard MHD equations that include the “Hall” term from the general Ohm’s law. The Hall term decouples ion and electron motion physically on the ion inertial length scales. Implementing the Hall MHD equations in a numerical solver allows more physical simulations for plasma dynamics on length scales less than the ion inertial scale length but greater than the electron inertial length. The present effort is an important step towards producing physically correct results to important problems, such as the Geospace Environmental Modeling (GEM) Magnetic Reconnection problem. The solver that is …
Numerical Analysis Of A Combustion Model For Layered Media Via Mathematical Homogenization,
2023
United States Naval Academy
Numerical Analysis Of A Combustion Model For Layered Media Via Mathematical Homogenization, Jessica M. Riggs, Ana Maria Soane
Mathematica Militaris
We propose to investigate a mathematical model
for combustion in a rod made of periodically alternating thin
layers of two combustible materials such as those occurring in
gun propellants. We apply the homogenization theory to resolve
the fast oscillations of the model’s coefficients across adjacent
layers, and set up numerical simulations to better understand
the reactions occurring in such media.
(R1951) Numerical Solution For A Class Of Nonlinear Emden-Fowler Equations By Exponential Collocation Method,
2023
Imam Khomeini International University
(R1951) Numerical Solution For A Class Of Nonlinear Emden-Fowler Equations By Exponential Collocation Method, Mohammad Aslefallah, Saeid Abbasbandy, Şuayip Yüzbaşi
Applications and Applied Mathematics: An International Journal (AAM)
In this research, exponential approximation is used to solve a class of nonlinear Emden-Fowler equations. This method is based on the matrix forms of exponential functions and their derivatives using collocation points. To demonstrate the usefulness of the method, we apply it to some different problems. The numerical approximate solutions are compared with available (existing) exact (analytical) solutions to show the accuracy of the proposed method. The method has been checked with several examples to show its validity and reliability. The reported examples illustrate that the method is reasonably efficient and accurate.
(R1987) Hermite Wavelets Method For System Of Linear Differential Equations,
2023
Sant Baba Bhag Singh University
(R1987) Hermite Wavelets Method For System Of Linear Differential Equations, Inderdeep Singh, Manbir Kaur
Applications and Applied Mathematics: An International Journal (AAM)
In this research paper, we present an accurate technique for solving the system of linear differential equations. Such equations often arise as a result of modeling in many systems and applications of engineering and science. The proposed scheme is based on Hermite wavelets basis functions and operational matrices of integration. The demonstrated scheme is simple as it converts the problem into algebraic matrix equation. To validate the applicability and efficacy of the developed scheme, some illustrative examples are also considered. The results so obtained with the help of the present proposed numerical technique by using Hermite wavelets are observed to …
Hydrodynamic And Physicochemical Interactions Between An Active Janus Particle And An Inactive Particle,
2023
The Graduate Center, City University of New York
Hydrodynamic And Physicochemical Interactions Between An Active Janus Particle And An Inactive Particle, Jessica S. Rosenberg
Dissertations, Theses, and Capstone Projects
Active matter is an area of soft matter science in which units consume energy and turn it into autonomous motion. Groups of these units – whether flocks of birds, bacterial colonies, or even collections of synthetically-made active particles – may exhibit complex behavior on large scales. While the large-scale picture is of great importance, so is the microscopic scale. Studying the individual particles that make up active matter will allow us to understand how they move, and whether and under what circumstances their activity can be controlled.
Here we delve into the world of active matter by studying colloidal-sized (100 …
Fem Simulations To Analyze Flow And Thermal Characteristics Of Carreau Non-Newtonian Fluid In A Square Cavity,
2023
Air University
Fem Simulations To Analyze Flow And Thermal Characteristics Of Carreau Non-Newtonian Fluid In A Square Cavity, Sardar Muhammad Bilal, Noor Zeb Khan, Rimsha Nisar
International Journal of Emerging Multidisciplinaries: Mathematics
Heat transfer aspects induced by natural convection in enclosures have promising utilizations and essence from theoretical as well as practical prospective like in, nuclear and chemical reactors, electronic devices, cooling, polymeric processes, solar power collection and so forth. After viewing aforementioned extensive practical importance present communicatn is addressed to explain the flow attributes of Non-Newtonian Carreau fluid model in a square cavity. For non-elastic Carreau fluid model expressing the stress and strain relations at infinite and zero stress magnitude. Mathematical formulation of problem is conceded by obliging conservation laws of momentum and energy. A square enclosure with unit dimension is …
Effect Of Cattaneo-Christov Model Over A Vertical Stretching Cylinder Using Sio2 Nanofluid,
2023
Department of Basic Sciences, University of Engineering and Technology, Taxila -47050, Pakistan
Effect Of Cattaneo-Christov Model Over A Vertical Stretching Cylinder Using Sio2 Nanofluid, Zaffer Elahi, Maimoona Siddiqua, Azeem Shahzad
International Journal of Emerging Multidisciplinaries: Mathematics
This paper represents the heat transfer of SiO2 nano uid over a vertical stretching cylinder. By using, suitable transformations, the governing partial differential equations are changed into non-linear ordinary differential equations, which are then solved by the numerical solver namely BVP4C. The scrutinized results both in the form of graphical and numerically have been developed from the scheme BVP4C. By using pictorial graphs, the physical parameter that appear in temperature profile are discussed. Further, the rate of shear-stress and heat transfer at the surface have been computed and tabulated in Tables 3-4.
A Guide To Uncertainty And Global Sensitivity Analysis In Lumped-Parameter Models Of The Cardiovascular System,
2023
COMSATS University Islamabad, Abbottabad Campus, Pakistan
A Guide To Uncertainty And Global Sensitivity Analysis In Lumped-Parameter Models Of The Cardiovascular System, Raheem Gul, Aamir Shahzad, Syed Muhammad Jawwad Riaz
International Journal of Emerging Multidisciplinaries: Mathematics
In this paper, a general 5-steps framework of uncertainty analysis (UA) and sensitivity analysis (SA) in lumped parameter models of the cardiovascular system (partial or complete) is presented. In order to conduct proper UA and SA, a high number of model simulations is required. Therefore, lumped parameter (0D) models of the cardiovascular system (CVS) are suitable for UA and SA as compared to high or multi-dimensional models (3D,2D,1D). As an example, a linear elastic lumped-parameter model of arm arteries is considered and a 5-steps framework is applied to quantify the impact of input parameters on output variables. The framework uses …
Homotopy Analysis Method Using Jumarie’S Approach For Multi-Dimensional Nonlinear Schrödinger Equations,
2023
HITEC colleges, HIT Taxila Cantt
Homotopy Analysis Method Using Jumarie’S Approach For Multi-Dimensional Nonlinear Schrödinger Equations, Naveed Imran, Raja Mehmood Khan
International Journal of Emerging Multidisciplinaries: Mathematics
In this paper, we suggest a fractional functional for the Homotopy Analysis Method (HAM) to solve the nonlinear fractional order partial differential equations with fractional order initial conditions by using the modified Riemann–Liouville fractional derivative proposed by G. Jumarie. Graphs have been plotted for different values of α , which clearly reflect the reliability of proposed scheme
Radiation Effects On Boundary Layer Flow And Heat Transfer Of The Power Law Fluid Over A Stretching Cylinder With Convective Boundary Conditions,
2023
University of Engineering and Technology Taxila
Radiation Effects On Boundary Layer Flow And Heat Transfer Of The Power Law Fluid Over A Stretching Cylinder With Convective Boundary Conditions, Azeem Shahzad, Areeba Zafar, Shakil Shaiq, Tahir Naseem
International Journal of Emerging Multidisciplinaries: Mathematics
In this work, a power law fluid model is used to examine the boundary layer flow and heat transfer characteristics over an unsteady horizontal stretching cylinder under the influence of convective boundary conditions. It is presumed that partial slip conditions exist and that the thermal conductivity of the nanofluid is a function of temperature at the boundary. Through similarity transformation, the coupled partial differential equations are converted into ordinary differential equations (ODEs), which are then resolved in MATLAB with BVP4C. By contrasting the computed findings with the published results, the validity of the results is proven. The effects of different …
Covid-19 In Casinos: Analysis Of Covid-19 Contamination And Spread With Economic Impact Assessment,
2023
nQube Data Science Inc.
Covid-19 In Casinos: Analysis Of Covid-19 Contamination And Spread With Economic Impact Assessment, Anastasia (Stasi) D. Baran, Jason D. Fiege
International Conference on Gambling & Risk Taking
Abstract:
The COVID-19 pandemic caused tremendous disruption for casinos, with the virus causing various lengths of shutdowns, capacity restrictions, and social distancing strategies such as machine removals or section closures. Although most of the world has now eased off these measures, it is important to review lessons learned to understand, and better prepare for similar circumstances in the future. We present Monte Carlo slot floor simulation software customized to simulate players spreading COVID-19 on the slot floor. We simulate the amount of touch surface contamination; the number of potential surface contact exposure events per day, and a proximity exposures statistic …
Stochastic Gradient Descent Method For A Parameter Identification Problem In Elasticity Imaging,
2023
Rochester Institute of Technology
Stochastic Gradient Descent Method For A Parameter Identification Problem In Elasticity Imaging, Basca Jadamba
Biology and Medicine Through Mathematics Conference
No abstract provided.
Brief Review: Low Frequency Event Charts (G-Charts) In Healthcare,
2023
Rowan University
Brief Review: Low Frequency Event Charts (G-Charts) In Healthcare, James Espinosa, David Ho, Alan Lucerna, Henry Schuitema
Stratford Campus Research Day
The ability to determine if a change in a system is actually an improvement—or worsening in function—is one of the essential desiderata of quality improvement efforts. There are many ways to look at the issue. A special problem occurs when the event being studied is low frequency by nature. By way of example, patient falls in a given hospital or division of a hospital may occur in a way that is low frequency—yet each event is important. Process engineering has developed an approach to low frequency events. Part of this approach may involve specialized charts that look at the “time-between-events”—as …
Space-Angle Discontinuous Galerkin Finite Element Method For Radiative Transfer Equation,
2023
University of Tennessee, Knoxville
Space-Angle Discontinuous Galerkin Finite Element Method For Radiative Transfer Equation, Hang Wang
Doctoral Dissertations
Radiative transfer theory describes the interaction of radiation with scattering and absorbing media. It has applications in neutron transport, atmospheric physics, heat transfer, molecular imaging, and others. In steady state, the radiative transfer equation is an integro-differential equation of five independent variables, which are 3 dimensions in space and 2 dimensions in the angular direction. This high dimensionality and the presence of the integral term present serious challenges when solving the equation numerically. Over the past 50 years, several techniques for solving the radiative transfer equation (RTE) have been introduced. These include, but are certainly not limited to, Monte Carlo …
Advancements In Fluid Simulation Through Enhanced Conservation Schemes,
2023
Clemson University
Advancements In Fluid Simulation Through Enhanced Conservation Schemes, Sean Ingimarson
All Dissertations
To better understand and solve problems involving the natural phenomenon of fluid and air flows, one must understand the Navier-Stokes equations. Branching several different fields including engineering, chemistry, physics, etc., these are among the most important equations in mathematics. However, these equations do not have analytic solutions save for trivial solutions. Hence researchers have striven to make advancements in varieties of numerical models and simulations. With many variations of numerical models of the Navier-Stokes equations, many lose important physical meaningfulness. In particular, many finite element schemes do not conserve energy, momentum, or angular momentum. In this thesis, we will study …
Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer,
2023
Department of Oral Pathology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa
Journal of Dentistry Indonesia
Image representation via machine learning is an approach to quantitatively represent histopathological images of head and neck tumors for future applications of artificial intelligence-assisted pathological diagnosis systems. Objective: This study compares image representations produced by a pre-trained convolutional neural network (VGG16) to those produced by a vision transformer (ViT-L/14) in terms of the classification performance of head and neck tumors. Methods: W hole-slide images of five oral t umor categories (n = 319 cases) were analyzed. Image patches were created from manually annotated regions at 4096, 2048, and 1024 pixels and rescaled to 256 pixels. Image representations were …
The Magnetic Field Of Protostar-Disk-Outflow Systems,
2023
Western University
The Magnetic Field Of Protostar-Disk-Outflow Systems, Mahmoud Sharkawi
Electronic Thesis and Dissertation Repository
Recent observations of protostellar cores reveal complex magnetic field configurations that are distorted in the innermost disk region. Unlike the prestellar phase, where the magnetic field geometry is simpler with an hourglass configuration, magnetic fields in the protostellar phase are sculpted by the formation of outflows and rapid rotation. This gives rise to a significant azimuthal (or toroidal) component that has not yet been analytically modelled in the literature. Moreover, the onset of outflows, which act as angular momentum transport mechanisms, have received considerable attention in the past few decades. Two mechanisms: 1) the driving by the gradient of a …
Control Of Shear Layers Using Heating Patterns,
2023
Western University
Control Of Shear Layers Using Heating Patterns, Shoyon Panday
Electronic Thesis and Dissertation Repository
The presence of spatially modulated flows is universal in nature. Distributed heating and surface roughness are the most common elements to cause non-uniformity in the flows. Spatially distributed heating leads to fundamentally distinct convection, different from the classical Rayleigh-Bénard instability. Interestingly, the onset of convective motion due to horizontal temperature gradients requires no critical conditions – a forced response. At the same time, surface roughness is known to significantly influence flow behaviours and heat transfer characteristics. The current work aims to analyze modulated flows and assess their potential as a mixing technique for low Reynolds number flows. Spanwise modulations (perpendicular …
