Results 51 to 60 of about 26,501,681 (348)
Mathematical modeling of biological systems [PDF]
Mathematical and computational models are increasingly used to help interpret biomedical data produced by high-throughput genomics and proteomics projects. The application of advanced computer models enabling the simulation of complex biological processes generates hypotheses and suggests experiments. Appropriately interfaced with biomedical databases,
MOTTA, Santo, PAPPALARDO, FRANCESCO
openaire +3 more sources
A Framework for Global Twenty-First Century Scenarios and Models of Biological Invasions
Biological invasions have emerged as an eminent feature of global change, with substantial impacts on the environment and human livelihoods. Current research demonstrates that the numbers and impacts of alien species are rising unabatedly.
B. Lenzner+7 more
semanticscholar +1 more source
Fluctuations in models of biological macroevolution
Fluctuations in diversity and extinction sizes are discussed and compared for two different, individual-based models of biological coevolution. Both models display power-law distributions for various quantities of evolutionary interest, such as the ...
Rikvold, Per Arne
core +1 more source
MathSBML: a package for manipulating SBML-based biological models [PDF]
Summary: MathSBML is a Mathematica package designed for manipulating Systems Biology Markup Language (SBML) models. It converts SBML models into Mathematica data structures and provides a platform for manipulating and evaluating these models.
Doyle, John+3 more
core +2 more sources
Programmatic modeling for biological systems
AbstractComputational modeling has become an established technique to encode mathematical representations of cellular processes and gain mechanistic insights that drive testable predictions. These models are often constructed using graphical user interfaces or domain-specific languages, with SBML used for interchange.
Alexander L.R. Lubbock, Carlos F. Lopez
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Longitudinal video archives of behaviour are crucial for examining how sociality shifts over the lifespan in wild animals. New approaches adopting computer vision technology hold serious potential to capture interactions and associations between ...
Daniel P. Schofield+7 more
doaj +1 more source
Biological Factor Regulatory Neural Network [PDF]
Genes are fundamental for analyzing biological systems and many recent works proposed to utilize gene expression for various biological tasks by deep learning models. Despite their promising performance, it is hard for deep neural networks to provide biological insights for humans due to their black-box nature.
arxiv
Modeling Growth in Biological Materials [PDF]
The biomechanical modeling of growing tissues has recently become an area of intense interest. In particular, the interplay between growth patterns and mechanical stress is of great importance, with possible applications to arterial mechanics, embryo morphogenesis, tumor development, and bone remodeling.
Jones, Gareth Wyn, Chapman, S. Jonathan
openaire +3 more sources
Background: Treatment of combined industrial wastewater from industrial parks is one of the most complex and difficult wastewater treatment processes. Also, the accuracy of biological models for the prediction of the performance of these processes has ...
Bijan Bina+6 more
doaj +1 more source
Complexity-weighted doses reduce biological uncertainty in proton radiotherapy planning [PDF]
Purpose: Variations in proton Relative Biological Effectiveness (RBE) with Linear Energy Transfer (LET) remain one of the largest sources of uncertainty in proton radiotherapy. This work seeks to identify physics-based metrics which can be applied to reduce this biological uncertainty.
arxiv +1 more source