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97 results for “Mathematical modelling”
Competition between predicting mathematical models and laboratory results for covid 19 after vaccination in Iran
<p>All of us like to find a way to end Covid 19. Specially, economy confronts with many problems. In attached JPG, i bring two predictions for covid 19 pandemic in Iran. Mathematical model predicts that after a fall in figure we will have a peak. However, right now, most of people in Iran used of vaccines. In addition, government forced on all to get vaccine. Even, students with 12 to 18 years old get vaccine. It has been heard that soonly, kids with ages between 3-12 years old will receive vaccine. As a man or woman, all of us like that this program will response and vaccines work. However, predictions of math show reverse result. Although, maybe, we should enter the factor of vaccine in mathematical model. It is good opportunity for scientists to examine response of covid 19 to program of vaccine for all. Even if we have a peak, however its height be smaller, we can say that vaccines act. Hope for ending Covid 19 in all countries.</p>
Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission: a mathematical modelling study
<p>Data and code for publication on <em>Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission: a mathematical modelling study</em></p>
Dataset 3 - Mathematical Modeling of Growth for Climbing Plants
<p>This dateset collects some models of climbing plants in the framework of the Task 3.4 of the Growbot project. In particular, it focuses on models describing the climbing plants' secondary growth, emphasizing such a behavior as an optimal way to allocate biomass and maximize climbing plants's reach.</p> <p>The models are described in the following preprints:</p> <table> <tbody> <tr> <td> <ol> <li><em>A 2D Model to describe the mechano-sensory behaviour of self-supporting shoots of climbing plants against gravity </em>(2023), G. Vecchiato; T. Hattermann; M. Palladino; P. Heuret; N. P. Rowe; P. Marcati, <strong>submitted preprint</strong></li> <li><em>Searcher-Shoot: a Reinforcement Learning approach to understand climbing plant behaviour</em> (2023), L. Nasti; G. Vecchiato; T. Hattermann; P. Heuret; N. P. Rowe; M. Palladino; P. Marcati, <strong>preprint</strong></li> <li><em>An optimal control approach to the problem of the longest self-supporting structure</em> (2023), G. Vecchiato; M. Palladino; P. Marcati, <strong>submitted preprint</strong></li> <li><em>Modeling intertwining of growing shoots</em> (2023), O. Giannopoulou; G. Vecchiato; M. Palladino; M. Thielen; T. Speck; P. Marcati, <strong>preprint</strong></li> </ol> </td> </tr> </tbody> </table>
A mathematical model to predict network growth in physarum polycephalum as a function of extracellular matrix viscosity, measured by a novel viscometer
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Data from: Temperature drives Zika virus transmission: evidence from empirical and mathematical models
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Data from: Exploiting nozzle geometry to predict resolution in extrusion-based bioprinting: mathematical modelling of a power-law fluid
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Data from: Digital twin mathematical models suggest individualized hemorrhagic shock resuscitation strategies
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Kinematic data and mathematical modeling of sea star locomotion
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Fig. 3 in The Challenges of Incorporating Realistic Simulations of Marine Protists in Biogeochemically Based Mathematical Models
Fig. 3. The six stages of selective grazing, redrawn from Montagnes et al. (2008b).
Effects of enhanced productivity of resources shared by predators in a food-web module: Comparing results of a field experiment to predictions of mathematical models of intra-guild predation
<p>This dataset contains data from a field experiment described in the publication "Wise, D. H. & Farfan, M.A. (2021) Effects of enhanced productivity of resources shared by predators in a food-web module: Comparing results of a field experiment to predictions of mathematical models of intra-guild predation. Ecology and Evolution, 00: 1-11. <a href="https://doi.org/10.1002/ece3.8375">https://doi.org/10.1002/ece3.8375</a>".</p> <p>The field experiment compared the response to increased input of nutrients and energy (artificial detritus) to an empirical model of intra-guild predation (IGP) to the predictions of published, simple mathematical models of asymmetric IGP (a generalist IG Predator that feeds both on a specialist IG Prey and a Resource that it shares with the IG Prey). The empirical model was a food-web module created by pooling species abundances across many families in a community of soil micro-arthropods into three response variables: IG Predator (large predatory mites), IG Prey (small predatory mites) and a shared Resource (fungivorous mites and springtails). The pattern of change over time in densities of the three response variables (IG Predator, IG Prey and Resource) was compared to the predictions of mathematical models of IGP to determine if the feeding relationships in this community of soil micro-arthropods could be abstracted into a simple IGP module. Thus, we were testing the hypothesis that IGP is a dominant organizing principle in this community.</p> <p>Simple mathematical models predict that increased input of nutrients and energy to the shared Resource will increase the equilibrium density of Resource and IG Predator, but will decrease that of IG Prey. By the experiment's end, densities of fungivores (Resource) had increased ~1.5x (ratio of pooled fungivore densities in the High treatment to plots with no addition of detritus (None treatment); and IG Predator densities had increased ~4x. Contrary to the prediction of mathematical models, IG Prey had not decreased, but instead had increased ~1.5x. We discuss possible reasons for the failure of the empirical model to agree with IGP theory.</p>
Data from: A new data-driven mathematical model dissociates attractiveness from sexual dimorphism of human faces
<p>Human facial attractiveness is evaluated by using multiple cues. Among others, sexual dimorphism (i.e. masculinity for male faces/femininity for female faces) is an influential factor of perceived attractiveness. Since facial attractiveness is judged by incorporating sexually dimorphic traits as well as other cues, it is theoretically possible to dissociate sexual dimorphism from facial attractiveness. This study tested this by using a data-driven mathematical modelling approach. We first analysed the correlation between perceived masculinity/femininity and attractiveness ratings for 400 computer-generated male and female faces (Experiment 1) and found positive correlations between perceived femininity and attractiveness for both male and female faces. Using these results, we manipulated a set of faces along the attractiveness dimension while controlling for sexual dimorphism by orthogonalisation with data-driven mathematical models (Experiment 2). Our results revealed that perceived attractiveness and sexual dimorphism are dissociable, suggesting that there are as yet unidentified facial cues other than sexual dimorphism that contribute to facial attractiveness. Future<span> studies can investigate the true preference of sexual dimorphism or the genuine effects of attractiveness by using well-controlled facial stimuli like those </span><span>that this study</span><span> generated. </span><span>The</span> findings will be of benefit to the further understanding of what makes a face attractive.</p>
Experimental data set for the article entitled "Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell"
<p>Experimental data for the article: Szablowski, L.; Dybinski, O.; Szczesniak, A.; Milewski, J. Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell. Energies 2022, 15, 608. The experiments were performed by the first two authors.<br> These data set refer to experiments carried out on a stand used to test high-temperature fuel cells. The subject of the study was a molten carbonate fuel cell fueled with a mixture of methane and steam with steam to carbon ratio of 2.0, 2.5, 3.0 and 3.5 and at the cell operating temperature of 550°C and 650°C. Additionally, in the anode channel of the cell, there was a catalyst in the amount of 2 g. The active area of the cell was 20.25 cm<sup>2</sup>. The article that uses these research results is published in an open access journal with a CC-BY license. This research was funded by the National Science Center, Poland (Grant number 2020/39/D/ST8/02021).</p>
Mathematical model results for: Dynamic fibronectin assembly and remodeling by leader neural crest cells prevents jamming in collective cell migration
<p>Collective cell migration plays an essential role in vertebrate development, yet the extent to which dynamically changing microenvironments influence this phenomenon remains unclear. Observations of the distribution of the extracellular matrix (ECM) component fibronectin during the migration of loosely connected neural crest cells (NCCs) lead us to hypothesize that NCC remodeling of an initially punctate ECM creates a scaffold for trailing cells, enabling them to form robust and coherent stream patterns. We evaluate this idea in a theoretical setting by developing an agent-based model that incorporates reciprocal interactions between NCCs and their ECM. ECM remodeling, haptotaxis, contact guidance, and cell-cell repulsion are sufficient for cells to establish streams in silico, however additional mechanisms, such as chemotaxis, are required to consistently guide cells along the correct target corridor. Further investigations of the model imply that contact guidance and differential cell-cell repulsion between leader and follower cells are key contributors to robust collective cell migration by preventing stream breakage. Global sensitivity analysis and simulated underexpression/overexpression experiments suggest that long-distance migration without jamming is most likely to occur when leading cells specialize in creating ECM fibers, and trailing cells specialize in responding to environmental cues by upregulating mechanisms such as contact guidance. This dataset contains summary statistics, movies, parameter values, and photos obtained from individual realizations of the mathematical model.</p>
Predicting Mathematics Anxiety and Achievement: Unveiling the Significance of Student and Teacher Attributes through Hierarchical Linear Modeling
<p>This study aimed to determine the predictive power of student and teacher characteristics on students' math anxiety and achievement.</p>
Mathematical Model-Adapted Radiation In Glioblastoma
ClinicalTrials.gov study NCT03557372. IPD Sharing: Not stated. Countries: 1. Publications: 1.
One-Dimensional Mathematical Model-Based Automated Assessment of Fractional Flow Reserve
ClinicalTrials.gov study NCT03797118. IPD Sharing: NO. Countries: 1. Publications: 1.
Experimental data used in mathematical modeling
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Effects of enhanced productivity of resources shared by predators in a food-web module: Comparing results of a field experiment to predictions of mathematical models of intra-guild predation
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Mathematical model results for: Dynamic fibronectin assembly and remodeling by leader neural crest cells prevents jamming in collective cell migration
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Data from: A new data-driven mathematical model dissociates attractiveness from sexual dimorphism of human faces
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.