Biology subjects

Golshani, M.

Publications and source records attributed to Golshani, M..

3 recordsLinked to original sources

bioRxiv2026

Effects of Reduced Watering Regimes on Hops Growth and Rhizospheric Microbial Communities

Marked by shifts in historic climatic patterns, the effects of climate change have begun to disrupt biological life worldwide. In agricultural systems, the abiotic effects of climate change such as increased temperatures and reduced rainfall extend beyond crop yield and can be felt at the ecological level through microbial community shifts associated at the interface of the root/soil matrix, known as the rhizosphere. Shifts in rhizospheric community composition have been known to greatly impact crop health, making common garden studies examining the totality of climate related impacts on crops of the utmost importance. Using a combination of both phenotypic and metabarcoding data collected from the rhizosphere, we present a multi-month drought tolerance experiment using the cash crop Humulus lupulus (hops) and five of its cultivars; Cascade, Centennial, Chinook, Comet and CTZ. Statistical analyses of phenotypic data revealed that hops displayed a differential impact on reduced watering strategies while rhizospheric data revealed more consistent patterns of association between microbes and cultivar type. We hope results from our study can be used to further expand our knowledge on the impact of future climate change and necessary reduced watering strategies on agricultural systems, providing insight into potential mechanisms of response for drought tolerance in crop systems.

plant biology↗

bioRxiv2019

A new method of brain stimulation at ultra-high frequency

Nerve stimulation via micro-electrode implants is one of the neurostimulation approaches which is used frequently in the medical treatment of some brain disorders, neural prosthetics, brain-machine interfaces and also in the cyborg. In this method, the electrical stimulation signal can be categorized by the frequency band: low frequency, high frequency, and ultra-high frequency. The stimulation should be less destructive, more smooth, and controllable. In this article, we present a brief description of the mechanism underlying the ultra-high frequency stimulation. In the flowing, from an informatics perspective, we propose a state-of-the-art, low destructive, and highly efficient stimulation method at the low amplitude ultra-high frequency signal. In this method, we have tried to reduce the adaptation of the nerve system by modulating the stimulation signal via a low frequency rectangular random wave. By this method, we could reach the \"almost zero discharge\" with minimum destructive effect in the experimental test on the fish nervous system.

neuroscience↗

bioRxiv2019

Theory of cyborg: a new approach to fish locomotion control

Cyborg in the brain-machine interface field has attracted more attention in recent years. To control a creature via a machine called cyborg method, three stages are considerable: stimulation of neurons, neural response, and the behavioral reaction of the subject. Our main concern was to know how electrical stimulation induces neural activity and leads to a behavioral response. Additionally, we were interested to explore which type of electrical stimulation is optimal from different aspects such as maximum response with minimum induction stimulus field, minimum damage of the tissue and the electrode, reduction of the noxiousness of stimuli or pain in the living creature. In this article, we proposed a new model for the induction of neural activity led to locomotion responses through an electrical stimulation. Furthermore, based on this model, we developed a new approach of electrical neural stimulation to provide a better locomotion control of living beings. This approach was verified through the empirical data of fish cyborg. We stimulated the fish brain by use of an ultra-high frequency signal which careered by a random low frequency. According to our model, we could control the locomotion of fish in a novel and innovative way. In this study, we categorized the different cyborg methods based on the nervous system areas and the stimulation signal properties to reach the better and optimal behavioral control of creature. According to this, we proposed a new stimulation method theoretically and confirmed it experimentally.

bioengineering↗