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001443713 001__ 1443713
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001443713 005__ 20230310003558.0
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001443713 0247_ $$a10.1007/978-981-16-5723-8$$2doi
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001443713 049__ $$aISEA
001443713 050_4 $$aQH505
001443713 08204 $$a571.4$$223
001443713 24500 $$aRhythmic advantages in big data and machine learning /$$cAnirban Bandyopadhyay, Kanad Ray, editors.
001443713 260__ $$aSingapore :$$bSpringer,$$c2022.
001443713 300__ $$a1 online resource (270 pages)
001443713 336__ $$atext$$btxt$$2rdacontent
001443713 337__ $$acomputer$$bc$$2rdamedia
001443713 338__ $$aonline resource$$bcr$$2rdacarrier
001443713 347__ $$atext file
001443713 347__ $$bPDF
001443713 4901_ $$aStudies in Rhythm Engineering
001443713 5050_ $$aData: periodicity and ways to unlock its full potential -- Modulating Neural Oscillations with Transcranial Focused Ultrasound -- Minimization of thermal conductivity in nanostructures and geometric self-similar structures for thermoelectric applications.
001443713 506__ $$aAccess limited to authorized users.
001443713 520__ $$aThe book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers.
001443713 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 1, 2022).
001443713 650_0 $$aBiophysics.
001443713 650_6 $$aBiophysique.
001443713 655_0 $$aElectronic books.
001443713 7001_ $$aBandyopadhyay, Anirban.
001443713 7001_ $$aRay, Kanad.
001443713 77608 $$iPrint version:$$aBandyopadhyay, Anirban.$$tRhythmic Advantages in Big Data and Machine Learning.$$dSingapore : Springer Singapore Pte. Limited, ©2022$$z9789811657221
001443713 830_0 $$aStudies in rhythm engineering.
001443713 852__ $$bebk
001443713 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5723-8$$zOnline Access$$91397441.1
001443713 909CO $$ooai:library.usi.edu:1443713$$pGLOBAL_SET
001443713 980__ $$aBIB
001443713 980__ $$aEBOOK
001443713 982__ $$aEbook
001443713 983__ $$aOnline
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