Hugo van den Berg is a mathematical biologist whose research includes work on the neuroendocrine control of hydromineral physiology in molluscs, nutrient and light limitation in microbial ecosystems, zinc homeostasis, genic selectionism, the foundations of biomathematics, the self/nonself problem in adaptive immunology, energy metabolism, diabetes, oncoprotein kinetics, bacterial cell division, transcriptomics-based prediction of electrodynamics in excitable tissues, and in silico reconstruction of smooth muscle tissue architecture.

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• Chapter 1 □ Introduction Chapter 2 □ The nature of homeostasis Chapter 3 □ Gradient-driven regulatory dynamics Chapter 4 □ Coupling and pleiotropy Chapter 5 □ Differential inclusions Chapter 6 □ Application to mammalian nutrient budgetsChapter 7 □ The evolutionary perspective Chapter 8 □ Critique and outlook

Hugo van den Berg is a mathematical biologist whose research includes work on the neuroendocrine control of hydromineral physiology in molluscs, nutrient and light limitation in microbial ecosystems, zinc homeostasis, genic selectionism, the foundations of biomathematics, the self/nonself problem in adaptive immunology, energy metabolism, diabetes, oncoprotein kinetics, bacterial cell division, transcriptomics-based prediction of electrodynamics in excitable tissues, and in silico reconstruction of smooth muscle tissue architecture.

Select Guide Rating

• Chapter 1 □ Introduction Chapter 2 □ The nature of homeostasis Chapter 3 □ Gradient-driven regulatory dynamics Chapter 4 □ Coupling and pleiotropy Chapter 5 □ Differential inclusions Chapter 6 □ Application to mammalian nutrient budgetsChapter 7 □ The evolutionary perspective Chapter 8 □ Critique and outlook

Hugo van den Berg is a mathematical biologist whose research includes work on the neuroendocrine control of hydromineral physiology in molluscs, nutrient and light limitation in microbial ecosystems, zinc homeostasis, genic selectionism, the foundations of biomathematics, the self/nonself problem in adaptive immunology, energy metabolism, diabetes, oncoprotein kinetics, bacterial cell division, transcriptomics-based prediction of electrodynamics in excitable tissues, and in silico reconstruction of smooth muscle tissue architecture.

Select Guide Rating

• Chapter 1 □ Introduction Chapter 2 □ The nature of homeostasis Chapter 3 □ Gradient-driven regulatory dynamics Chapter 4 □ Coupling and pleiotropy Chapter 5 □ Differential inclusions Chapter 6 □ Application to mammalian nutrient budgetsChapter 7 □ The evolutionary perspective Chapter 8 □ Critique and outlook