27 papers · ranked by Valyu relevance
David L. Miller, David Fifield, Ewan Wakefield, Douglas B. Sigourney + 1 more
'Yilun Shang'] Spatial models of density and abundance are widely used in both ecological research (e.g., to study habitat use) and wildlife management (e.g., for population monitoring and environmental impact assessment). Increasingly, modellers are tasked with integrating data from multiple sources, collected via…
Qin Liu, Liyan Li, Yan Zhou, Shiwen Zhang + 4 more
'Xinwei Wang' 'Zbigniew Otremba' 'Emilia Baszanowska'] Seawater density is an important physical property in oceanography that affects the accuracy of calculations such as gravity fields and tidal potentials and the calibration of acoustic and optical oceanographic sensors. In related studies, constant density values…
Miguel P. Martins, Marc Fernandez, Ana Marçalo, Nuno Oliveira + 1 more
Modelling a species ecology and abundance provides important insights into its habitat preferences, population trends and distribution. This can be used to inform conservation efforts, highlighting populations at risk of extinction and regions in need of protection. Here, we studied how environmental factors relate to…
M. G. Efford
Spatially explicit capture–recapture (SECR) methods are used widely to estimate animal population density and related parameters. Maximum likelihood has been applied to two flavors of SECR model - a full model that includes absolute density as a spatially varying parameter, and a model conditional on the number of…
Philip J. White, D. G. Keeler, Daniel Sheanshang, S. Rupper
Snow density estimates as a function of depth are used for understanding climate processes, evaluating water accumulation trends in polar regions, and estimating glacier mass balances. The common and interpretable physically-derived differential equation models for snow density are piecewise linear as a function of…
M. Baes, Peter Camps, Bert Vandenbroucke
Simple but flexible dynamical models are useful for many purposes, including serving as the starting point for more complex models or numerical simulations of galaxies, clusters, or dark matter haloes. We present SpheCow, a new light-weight and flexible code that allows one to easily explore the structure and dynamics…
David L. Miller, Elizabeth A. Becker, Karin A. Forney, Jason J. Roberts + 3 more
'Jason J. Roberts' 'Ana Cañadas' 'Robert S. Schick' 'Eric Ward'] Providing uncertainty estimates for predictions derived from species distribution models is essential for management but there is little guidance on potential sources of uncertainty in predictions and how best to combine these. Here we show where…
Christopher N Davis, T Deirdre Hollingsworth, Quentin Caudron, Michael A Irvine
Complex, highly computational, individual-based models are abundant in epidemiology. For epidemics such as macro-parasitic diseases, detailed modelling of human behaviour and pathogen life-cycle are required in order to produce accurate results. This can often lead to models that are computationally-expensive to…
Huaguang Li, Alireza Baghban
This study presents a novel model for accurately estimating the densities of 48 refrigerant systems, categorized into five groups: Hydrofluoroethers (HFEs), Hydrochlorofluorocarbons (HCFCs), Perfluoroalkylalkanes (PFAAs), Hydrofluorocarbons (HFCs), and Perfluoroalkanes (PFAs). Input variables, including pressure…
Mohammad Atif Faiz Afzal, Aditya Sonpal, Mojtaba Haghighatlari, Andrew J. Schultz + 1 more
The process of developing new compounds and materials is increasingly driven by computational modeling and simulation, which allow us to characterize candidates before pursuing them in the laboratory. One of the non-trivial properties of interest for organic materials is their packing in the bulk, which is highly…
Fadoua El Moustaid, Leah R. Johnson
Mosquito density plays an important role in the spread of mosquito-borne diseases such as dengue and Zika. While it remains very challenging to estimate the density of mosquitoes, modelers have tried different methods to represent it in mathematical models. The goal of this paper is to investigate the various ways…
Authors not listed
We show how reweighting and configuration mapping algorithms can be used to efficiently optimize molecular models using thermodynamic properties at a large number of state points from molecular simulations. As a proof of concept, we perform a multidimensional, multi-objective parameterization of a rigid water model…
Koen J. van Benthem, Meike J. Wittmann
Population density affects fitness through various processes, such as mate finding and competition. The fitness of individuals in a population can in turn affect its density, making population density a key quantity linking ecological and evolutionary processes. Density effects are, however, rarely homogeneous.…
Sachini P. Kadaoluwa Pathirannahalage, Nastaran Meftahi, Aaron Elbourne, Alessia C. G. Weiss + 8 more
Water is a unique solvent that is ubiquitous in biology and present in a variety of solutions, mixtures, and materials settings. It therefore forms the basis for all molecular dynamics simulations of biological phenomena, as well as for many chemical, industrial, and materials investigations. Over the years, many water…
Authors not listed
Accurately modeling volume-dependent properties of water remains a challenge for density functional theory (DFT), with widely used functionals failing to reproduce key features of the water density isobar, including its shape, density and temperature of the density maximum. Here, we compare the performance of the…
Sterling Baird, Taylor Sparks
A large collection of element-wise planar densities for compounds obtained from the Materials Project is calculated using brute force computational geometry methods. We demonstrate that the element-wise max lattice plane densities can be useful as machine learning features. The methods described here are implemented in…
Jason Bertram, Joanna Masel
Selection is commonly described by assigning constant relative fitness values to genotypes. Yet population density is often regulated by crowding. Relative fitness may then depend on density, and selection can change density when it acts on a density-regulating trait. When strong density-dependent selection acts on a…
Xingyu Yan, Xinyu Zhang, Peng Zhao
To consider model uncertainty in global Frechet regression and improve density response pre- ´ diction, we propose a frequentist model averaging method. The weights are chosen by minimizing a cross-validation criterion based on Wasserstein distance. In the cases where all candidate models are misspecified, we prove…
Matthew J. Simpson, Jacob M. Ryan, James M. McGree, Ruth E. Baker
Model selection is becoming increasingly important in mathematical biology. Model selection often involves comparing a set of observations with predictions from a suite of continuum mathematical models and selecting the model that provides the best explanation of the data. In this work we consider the more challenging…
Melanie T. Huynh, Nickolas Gantzler, Samuel Hough, David Roundy + 2 more
Xenon is used as a propellant for spacecraft. Conventionally, xenon is compressed to high pressures (75-300 bar) for bulk storage onboard the spacecraft. An adsorbed xenon storage system based on nanoporous materials (NPMs) could, potentially, (i) reduce the storage pressures, (ii) allow for thinner-walled and lighter…
Yuan-Zheng Lei, Yaobang Gong, Xianfeng Yang
knowledge: modeling, limitation and further discussion Authors: ['Yuan-Zheng Lei' 'Yaobang Gong' 'Xianfeng Yang'] Traffic flow modeling relies heavily on fundamental diagrams. However, deterministic fundamental diagrams, such as single or multi-regime models, cannot capture the uncertainty pattern that underlies…
Filippo Simini, Gianni Barlacchi, Massimilano Luca, Luca Pappalardo
The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment. When information about mobility flows is not available for a particular region of interest, we must rely on mathematical models to generate…
Chenxi Sui, Ziyang Jiang, Genesis Higueros, David Carlson + 1 more
High-performance batteries are poised for electrification of vehicles and therefore mitigate greenhouse gas emissions, which, in turn, promote a sustainable future. However, the design of optimized batteries is challenging due to the nonlinear governing physics and electrochemistry. Recent advancements have…
Constanze Ciavarella, Neil M. Ferguson, Cecile Viboud
The spatial dynamics of epidemics are fundamentally affected by patterns of human mobility. Mobile phone call detail records (CDRs) are a rich source of mobility data, and allow semi-mechanistic models of movement to be parameterised even for resource-poor settings. While the gravity model typically reproduces human…
Zhengyi Zhou, David S. Matteson, Dawn B. Woodard, Shane G. Henderson + 1 more
'Athanasios C. Micheas'] Ambulance demand estimation at fine time and location scales is critical for fleet management and dynamic deployment. We are motivated by the problem of estimating the spatial distribution of ambulance demand in Toronto, Canada, as it changes over discrete 2-hour intervals. This large-scale…
Oriol Cabanas-Tirapu, Lluís Danús, Esteban Moro, Marta Sales‐Pardo + 1 more
'Roger Guimerà'] Modeling of human mobility is critical to address questions in urban planning and transportation, as well as global challenges in sustainability, public health, and economic development. However, our understanding and ability to model mobility flows within and between urban areas are still incomplete.…
Matthew J Simpson, Alexander P Browning, David J Warne, Oliver J Maclaren + 1 more
Sigmoid growth models, such as the logistic, Gompertz and Richards’ models, are widely used to study population dynamics ranging from microscopic populations of cancer cells, to continental-scale human populations. Fundamental questions about model selection and parameter estimation are critical if these models are to…