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Plant cognition. Plant cognition or plant gnosophysiology [1] is the study of the learning and memory of plants, exploring the idea it is not only animals that are capable of detecting, responding to and learning from internal and external stimuli in order to choose and make decisions that are most appropriate to ensure survival.
Escherichia coli is a gram-negative prokaryotic model organism Drosophila melanogaster, one of the most famous subjects for genetics experiments Saccharomyces cerevisiae, one of the most intensively studied eukaryotic model organisms in molecular and cell biology. A model organism (often shortened to model) is a non-human species that is ...
Traditional two dimensional cell culture is a useful experimental model of Alzheimer's disease to conduct experiments in a high throughput manner. These cultures occur on a dish or flask in a monolayer and can be made up of a single cell type or multiple cell types. [7] 2D cultures often have difficulties producing insoluble Amyloid-β plaques ...
Animal cognition. A crab-eating macaque using a stone tool to crack open a nut. Experiments like the string-pulling task performed here by a Carib grackle provide insights into animal cognition. Animal cognition encompasses the mental capacities of non-human animals including insect cognition.
Modelling biological systems is a significant task of systems biology and mathematical biology. [a] Computational systems biology [b] [1] aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of ...
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Kinematics. Kinematics is the study of how objects move, whether they are mechanical or living. In animal locomotion, kinematics is used to describe the motion of the body and limbs of an animal. The goal is ultimately to understand how the movement of individual limbs relates to the overall movement of an animal within its environment.
Cell-based models are mathematical models that represent biological cells as discrete entities. Within the field of computational biology they are often simply called agent-based models of which they are a specific application and they are used for simulating the biomechanics of multicellular structures such as tissues. to study the influence of these behaviors on how tissues are organised in ...
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