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An example from the world of tsetse flies
Published 2013-03-01“…In biomathematics, communication between mathematicians and biologists is crucial. …”
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The Rate at Which the Energy of Solutions for a Class of p-Laplacian Wave Equation Decays
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Pubertal Status Moderates the Association between Mother and Child Laboratory Pain Tolerance
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Chronic endothelial inflammation in PWH leads to reduced circulating megakaryocyte progenitor cells
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The Role Of Time Delays, Slow Processes And Chaos In Modulating The Cell-Cycle Clock
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Noninteger Derivative Order Analysis on Plane Wave Reflection from Electro-Magneto-Thermo-Microstretch Medium with a Gravity Field within the Three-Phase Lag Model
Published 2022-01-01“…This phenomenon has more applications in relation to the biology and biomathematics problems.…”
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A Two-Pathway Mathematical Model of the LH Response to GnRH that Predicts Self-Priming
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An agent-based model for elasto-plastic mechanical interactions between cells, basement membrane and extracellular matrix
Published 2012-11-01“…The basement membrane (BM) and extracellular matrix (ECM) play critical roles in developmental and cancer biology, and are of great interest in biomathematics. We introduce a model of mechanical cell-BM-ECM interactions that extends current (visco)elastic models (e.g. [8,16]), and connects to recent agent-based cell models (e.g. [2,3,20,26]). …”
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On the current and future potential of simulations based on directed acyclic graphs
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Mineralization Dynamics of Pineapple Harvest Residues as Affected by Placement on Acrisoil in Benin
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Role of Albumin as a Nutritional and Prognostic Marker in Elective Intestinal Surgery
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The Effect of Delay Techniques on a Lassa Fever Epidemic Model
Published 2024-01-01“…The delayed intervention techniques in real-world problem modelling have a significant role in behavioural, social, physical, and biological engineering, biomathematical sciences, and many more disciplines. Delayed modelling of real-world problems is a powerful tool and nonpharmaceutical technique for understanding the dynamics of disease in a population. …”
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A First Application of the Backward Technique in Social Sciences: Exploring Demographic Noise in a Model with Three Personality Types
Published 2024-12-01“…In the realm of dynamical systems described by deterministic differential equations used in biomathematical modeling, two types of random events influence the populations involved in the model: the first one is called environmental noise, due to factors external to the system; the second one is called demographic noise, deriving from the inherent randomness of the modeled phenomenon. …”
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