This paper discusses the design and analysis of a self-balancing bicycle model. The objective was to develop an efficient design that can be fabricated in the future. The different methods of balancing a bicycle were studied to develop an optimal design. Solidworks 17 and Ansys 18 have been used for modeling, simulation, and analysis of the structure. The use of a Control Moment Gyroscope (CMG) to balance the bicycle model was studied and the results show that the effect of precession increases with an increase in rpm and the weight of the flywheel. Thus, a bicycle model actuated with CMG is far more stable and less prone to accidental tilts and toppling than one without. The studied data can be used for future research.
Neurodegenerative disease refers to the progressive deterioration of
neurologic function which leads to loss of speech, vision, hearing, and movement. It is
also associated with seizures, eating difficulties, and memory impairment. Natural
products have emerged as potential neuroprotective agents for the treatment of
neurodegenerative diseases due to the enormous adverse effects associated with
pharmacological drugs. Withania somnifera (Ashwagandha) is a traditional Ayurvedic
medicine, used in India as a general tonic. It contains withanolides, and phytochemicals
that may have adaptogenic properties. Studies show that W. somnifera is a
neuroprotective agent and can protect the brain from oxidative stress and inflammation.
This explains its ability to protect from mood disorders. In this review, we have
reviewed the available evidence of W. somnifera and its phytochemicals for
neurodegenerative disorders.
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