ACADEMIC IDENTITY

When the term "academy" is mentioned, the first thing that comes to mind is usually a university. In other words, academia is often associated with universities. From an institutional perspective, a university is an autonomous educational institution where professionals who are important for social continuity are trained, and new information is needed for the advancement of civilization and science is produced through scientific research. Additionally, academicians who are respected by society study independently. As an educational institution, the university holds a respected place in society and has undertaken the duties of educating qualified professionals for the needs of society, conducting scientific research that promotes the development of society and the advancement of science, enlightening individuals, and serving society. Academicians have overtaken the responsibility of fulfilling the university's educational, scientific research and community service duties. Academicians fulfil educational, scientific research and community service with their academic identity. Academic identity is a multidimensional and comprehensive concept that involves qualities and features that academicians who conduct their studies based on scientific methods should have. We can define academic identity as “internalization of scientific attitudes and behaviours by academicians, making speeches and explanations based on scientific information, being able to question the events and phenomenon, defending science and open-mindedness against dogmatism, and prejudice”. Based on this definition, the dimensions of academic identity include (i) “internalizing scientific attitudes and behaviours”, (ii) “making discourse based on scientific knowledge”, (iii) “questioning events and facts”, (iv) “defending science against dogmatism”, and (v) “defending open-mindedness against prejudice”.  Article visualizations

Monte Carlo simulation for statistical mechanics model of ion channel cooperativity in cell membranes

Voltage-gated ion channels are key molecules for the generation and propagation of electrical signals in excitable cell membranes. The voltage-dependent switching of these channels between conducting and nonconducting states is a major factor in controlling the transmembrane voltage. In this study, a statistical mechanics model of these molecules has been discussed on the basis of a two-dimensional spin model. A new Hamiltonian and a new Monte Carlo simulation algorithm are introduced to simulate such a model. It was shown that the results well match the experimental data obtained from batrachotoxin-modified sodium channels in the squid giant axon using the cut-open axon technique.Comment: Paper has been revise

Size effects on the open probability of two-state ion channel system in cell membranes using microcanonical formalism based on gamma function

Ion channel systems are a class of proteins that reside in the membranes of all biological cells and forms conduction pores that regulate the transport of ions into and out of cells. They can be investigated theoretically in the microcanonical formalism since the number of accessible states can be easily evaluated by using the Stirling approximation to deal with factorials. In this work, we have used gamma function (Gamma (n)) to solve the two-state or open-close channel model without any approximation. New values are calculated for the open probability (p(0)) and the relative error between our numerical results and the approximate one using Stirling formula is presented. This error (p(0)(app) p(0))/p(0) is significant for small channel systems

Monte Carlo simulation for statistical mechanics model of ion-channel cooperativity in cell membranes

Voltage-gated ion channels are key molecules for the generation and propagation of electrical signals in excitable cell membranes. The voltage-dependent switching of these channels between conducting and nonconducting states is a major factor in controlling the transmembrane voltage. In this study, a statistical mechanics model of these molecules has been discussed on the basis of a two-dimensional spin model. A new Hamiltonian and a new Monte Carlo simulation algorithm are introduced to simulate such a model. It was shown that the results well match the experimental data obtained from batrachotoxin-modified sodium channels in the squid giant axon using the cut-open axon technique