TY - GEN AB - The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers. AU - Bandyopadhyay, Anirban. AU - Ray, Kanad. CN - QH505 CY - Singapore : DA - 2022. DO - 10.1007/978-981-16-5723-8 DO - doi ID - 1443713 KW - Biophysics. KW - Biophysique. LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5723-8 N2 - The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers. PB - Springer, PP - Singapore : PY - 2022. SN - 9789811657238 SN - 9811657238 T1 - Rhythmic advantages in big data and machine learning / TI - Rhythmic advantages in big data and machine learning / UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5723-8 ER -