Results 281 to 290 of about 30,009,286 (350)
Some of the next articles are maybe not open access.
1983
“It’s a curious sensation, isn’t it? Really thrilling … but why? You know, I get the feeling—or rather I see it—as if the ball is made of elastic, as if it’s expanding into an ellipse … shall we say trying to free itself?”
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“It’s a curious sensation, isn’t it? Really thrilling … but why? You know, I get the feeling—or rather I see it—as if the ball is made of elastic, as if it’s expanding into an ellipse … shall we say trying to free itself?”
openaire +1 more source
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
, 1998R. Durbin +3 more
semanticscholar +1 more source
Inverse analysis of constitutive models: biological soft tissues.
Journal of Biomechanics, 2007Fu-Jun Lei, A. Szeri
semanticscholar +1 more source
2012
Over the last decade, a large number of pioneering studies have been conducted to understand complex mechanisms that regulate the internal and external behavior of cells. The entanglement among these mechanisms has been unraveled by performing experiments combining quantitative modeling that demonstrate cell behavior in a spatio-temporal way ...
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Over the last decade, a large number of pioneering studies have been conducted to understand complex mechanisms that regulate the internal and external behavior of cells. The entanglement among these mechanisms has been unraveled by performing experiments combining quantitative modeling that demonstrate cell behavior in a spatio-temporal way ...
openaire +1 more source
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Liver regeneration: biological and pathological mechanisms and implications
Nature reviews: Gastroenterology & hepatology, 2020G. Michalopoulos, B. Bhushan
semanticscholar +1 more source
1990
Biological systems are complex systems, almost by definition. Thus models of such systems necessarily simplify. That even simple models can lead to very complicated behaviour leads us to re-examine the goal of mathematical modelling. We may distinguish two loose categories of model: the “pure” model whose end is the understanding of phenomena, and the “
openaire +1 more source
Biological systems are complex systems, almost by definition. Thus models of such systems necessarily simplify. That even simple models can lead to very complicated behaviour leads us to re-examine the goal of mathematical modelling. We may distinguish two loose categories of model: the “pure” model whose end is the understanding of phenomena, and the “
openaire +1 more source
2020
Modeling of biological systems and ecology is a useful exercise, as it allows one to discover and focus on the important aspects of the life-system dynamics. Population dynamics is a good example. Modeling also helps us understand system optimization. With a long span of time, evolution picks out optimal systems. Models of optimization can be revealing
openaire +1 more source
Modeling of biological systems and ecology is a useful exercise, as it allows one to discover and focus on the important aspects of the life-system dynamics. Population dynamics is a good example. Modeling also helps us understand system optimization. With a long span of time, evolution picks out optimal systems. Models of optimization can be revealing
openaire +1 more source