Physics

1. Greg Rusk

The Block Universe

1. Ashima , Pathak

Tools and Techniques in Radiation Biophysics

This textbook describes the study of radiation, covering the basic concepts and their advanced applications, and highlights the handling of radioisotopes and radiation measurements using various instruments. The book also focuses on the effects and up-to-date applications of radiation on biological systems and their use in diagnosing and treating various diseases. Chapters provide an easy understanding of the subject matter with the help of self-explanatory, well-illustrated figures and easy-to-grasp language. "Tools and Techniques in Radiation Biophysics" is designed for undergraduate and post-graduate studying radiation Biophysics as one of the major courses in medical physics, nuclear medicine, biophysics, and other applied sciences. The multi-disciplinary approach of this book facilitates learning and a deep understanding of the concepts and helps the readers develop an interest in the subject so that they can pursue their careers efficiently in this field. Researchers andlecturers will value this book to enhance their knowledge and clarify queries.

A Practical Guide to Advanced Diffusion MRI

Mario Coriasco Qualified as a radiographer in 1995, he graduated in Medical Radiology Techniques in 2006. He worked as a radiographer in the Radiology Department of the University of Turin, then in the Unit of Interventional Cardiology of the same University, and since 2001 he has worked in the Neuroradiology of the Neuroscience Department of the Turin University, as a radiographer, CT and MR-technologist. He has extensive experience of advanced image processing in the magnetic resonance, in particular PWI, DTI, 1H-MRS, and in fMRI experiments in pathological conditions and in research applications. He was Adjunct Professor at the University of Genova, teaching Advanced MR techniques in a 1st level master’s in MR (2015-2016). Now he's Adjunct professor at the Turin University, teaching MR techniques at the Bachelor's Degree of Medical Radiology Technician and Radiologic Techniques at the Bachelor's Degree of Neurophisyopathology Techician. Author of many publications edited on national and international revues, he published books on digital imaging in medical radiology and on magnetic resonance, both adopted as a reference text by a number of universities.   Federico D’Agata After completing an MSc in Physics (Nuclear and Subnuclear) with a thesis titled “Tests for Drift Chambers for the CMS Experiment,” and an MSc in Psychology (Sciences of Mind) with a thesis titled “Social Emotions: An Effective Connectivity Study,” Federico D'Agata earned a PhD in Experimental Neuroscience from the University of Turin, Italy. His doctoral dissertation was “Cerebellar Functions: Insights from Behavioral, Structural, and Functional Neuroimaging Studies in Healthy and Medical Conditions”. He is the author and co-author of national and international publications, scientific articles, and monographs on MRI. Since 2022, he has been an associate professor in Applied Physics at the Department of Neurosciences "Rita Levi Montalcini" of the University of Turin.   Alberto De Luca Alberto De Luca is an assistant professor at UMC Utrecht (the Netherlands) focusing on the development and application of (diffusion) MRI methods for neuroimaging. Since the completion of his PhD in Bioengineering at the University of Padova (Italy), he has been passionate to understand the potential and caveats of diffusion MRI to study brain organization, performing broad spectrum research in this field (e.g., acquisition design, optimization, development of quantification methods, fiber tractography and clinical translation). He is the author and co-author of several scientific publications and book chapters on diffusion MRI, and has been awarded competitive grants (e.g., European Research Council) to advance his research on brain fiber characterization and its clinical applications.   Luciana Gennari Qualified as a radiographer in1990, Luciana Gennari became a tutor in 2007 in the Neuroscience Department. She works mainly in Magnetic Resonance Imaging and she has taken on the role of Primary Technologist in many research projects. She received a master degree in Specialist in equipment optimization and development, sequences and MRI study techniques in 2022 from the University of Florence. She is an Adjunct Professor at the University of Milano-Bicocca with extensive experience in MRI advanced techniques and post processing. She is the author of ten publications edited ion national and international reviews.

Selected Articles from the 2nd International Conference on Advanced Nanomaterials and Applications

The topics covered in this book include energy storage and conversion, bio- and healthcare materials, sensors and actuators, functional materials, optical materials, and computational and simulation methods.

1. Alessandro Bile

Solitonic Neural Networks

Alessandro Bile graduated in Theoretical Physics (2017-2018) from Sapienza University of Rome, where he was involved in the VIRGO experiment. During his studies, he developed a passion for music and also graduated from the "Santa Cecilia" Conservatory (2017-2018) in Rome, combining gravitational wave physics and music in his thesis. He participated as a composer in concerts held in Rome and New York.  In 2019, he furthered his education by attending a postgraduate training course on Machine Learning in Bergamo. At the Sapienza University of Rome, he completed his Ph.D. in Electromagnetism (obtaining the title of Doctor Europeaus) in 2022, focusing his research on photonic artificial intelligence. Currently, he is engaged in mathematical modeling and the design of intelligent hardware systems operating in the optical domain. Alessandro Bile has presented his research at international conferences across Europe and served as a research fellow from 2019 to 2023 at the Department of Basic and Applied Sciences for Engineering at Sapienza University. From 2019 to 2021 he contributed to the European project "Collection Care."  In 2022, he continued his work with the same department on the project "Intelligent optical systems for the recognition and sanitation of pathological micro-organisms and nano-organisms". Additionally, he applies artificial intelligence techniques to the microclimate of cultural heritage to provide valuable predictions for the conservation of artistic artifacts. Alessandro Bile has received funding for young researchers for three consecutive years from 2020 to 2022. In 2022 he won the BGF funding from the French government to pursue his research as Visiting Research at the Femto-ST Institut University of Besançon (France). In the same year, he collaborated, as research fellow, with the University of Turin on the project "Biophysical forecasting modeling in the surface boundarylayer to support agricultural crop planning and management in Piedmont" and in 2023 he started a new research line on the project "Development of materials, metamaterials and polar metasurfaces for mid-infrared emission manipulation". From 2019 to 2022 he collaborates as an assistant professor for Physics courses at the Faculty of Civil and Industrial Engineering of Sapienza . Since 2022, Alessandro Bile has been an adjunct professor for Physics courses at the Faculty of Medicine, Sapienza University of Rome.

Proceedings of the 9th IRC Conference on Science, Engineering, and Technology

This book highlights the contemporary state of research in multidisciplinary areas of Computer Science, Computer Engineering, Data Science, Electrical and Electronics Engineering, Chemical Engineering, Mechanical Engineering, Physics, Biomedical Sciences, Life Sciences, Medicine, Healthcare, and Business Technology. The accepted submissions to the 9th IRC Conference on Science, Engineering and Technology (IRC-SET 2023) presented on 19 August 2023 are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains.