This book contains 400 EMI MCQ questions, which collectively reflect the breadth of important topics in Otorhinolaryngology, Head and Neck Surgery. The EMIs are presented in four a bite sizea chapters (100 EMIs/chapter). Each chapter is followed by answers with succinct explanations to consolidate knowledge and understanding. Questions are deliberately arranged randomly in each chapter to reflect real life situations. The level of diffi culty of the questions varies, making this book suitable for all ENT surgeons, especially those preparing for professional examinations such as DOHNS (UK), Arab Board, European Board, MRCS (ENT) and FRCS ORL-HNS (UK). This book represents the most up-to-date and comprehensive assessment of post graduate ENT knowledge, with emphasis on the a wheata rather than the a chaff a . It will appeal to those who want to quickly evaluate and update their knowledge, in the shortest possible time. Seven other ENT Tzar books are also available for ENT career development from medical student level to Consultant (www.enttzar.co.uk, www.ricardopersaud.com)

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

In recent years, there has been considerable interest in studying the quantum capacitance (QC) in 2D quantum MOSFETs (QMOSFET) and 1D Nano Wire FET (NWFET) devices of various technologically important materials which find extensive applications in many directions in low dimensional electronics. The 2D and 1D electron statistics in inversion layers of MOSFETs can rather easily be varied by changing the gate voltage which, in turn, brings a change of the surface electric field, the QC depends on the gate-voltage. This first-of-its-kind book deals solely with the QC in 2D MOSFETs of non-linear optical, ternary, quaternary, III-V compounds, II-VI, IV-VI, stressed Kane type, Ge, GaP, Bismuth telluride, Gallium Antimonide and their 1D NWFETs counter parts. The influence of quantizing magnetic field, crossed electric and magnetic fields, parallel magnetic field, have also been considered on the QC of the said devices of the aforementioned materials. The influences of strong light waves and ultra-strong electric field present in nano-devices have also been considered. The accumulation layers of the quantum effect devices of the said materials have also been discussed in detail by formulating the respective dispersion relations of the heavily doped compounds. The QC in 1D MOSFET of the said materials have also been investigated in this context on the basis of newly formulated electron energy spectra in all the cases. The QC in quantum well transistors and magneto quantum well transistors together with CNTFETs have been formulated and discussed in detail along with I-V equations of ballistic QWFETs and NWFETs together with their heavily doped counter parts. In this context, experimental determinations are suggested of the Einstein relation for the Diffusivity-Mobility ratio, the Debye screening length, Elastic Constants and the content of this book finds three different applications in the arena of nanoscience and nanotechnology.This book contains hundred open research problems which form the integral part of the text and are useful for both PhD aspirants and researchers.

Currently, there is a critical need to integrate diversity and inclusion into health professions curricula and to diversify educators' approaches to teaching. The COVID-19 pandemic has most recently highlighted the systemic barriers that exist for our most vulnerable patients. To address these inequities, it is important to promote diversity and inclusion in thought, practice, and curricular content. Social and cultural experiences uniquely influence the learning experience, so a plurality of perspectives should be represented in educational material and seen in the classroom. Cases on Diversity, Equity, and Inclusion for the Health Professions Educator serves as a tool to enhance the structure and competencies of learners in health professions. This case book engages both learners and educators in health professions in robust discussions that serve to enhance awareness and knowledge around these issues with the expectation that knowledge will translate into practices that eventually reduce health inequities. Covering topics such as ableism, barriers to healthcare access, and mental health stigma, this case book is an indispensable resource for health professionals, educators and students in the health professions, hospital administrators, medical librarians, sociologists, government officials, researchers, and academicians.

In a gorgeous history that spans continents and millennia, Aarathi Prasad weaves together the complex story of the queen of fabrics. Through the scientists who have studied silk, and the biology of the animals from which it has been drawn, Prasad explores the global history, natural history, and future of a unique material that has fascinated the world for millennia. For silk, prized for its lightness, luminosity, and beauty is also one of the strongest biological materials ever known. More than a century ago, it was used to make the first bulletproof vest, and yet science has barely even begun to tap its potential. As the technologies it has inspired - from sutures to pharmaceuticals, replacement body parts to holograms - continue to be developed in laboratories around the world, they are now also beginning to offer a desperately needed, sustainable alternative to the plastics choking our planet. Prasad's Silk is a cultural and biological history from the origins and ancient routes of silk to the biologists who learned the secrets of silk-producing animals, manipulating the habitats and physiologies of moths, spiders and molluscs. Because there is more than one silk, there is more than one story of silk. More than one road, more than one people who discovered it, and wove its threads. From the moths of China, Indonesia and India to the spiders of South America and Madagascar, to the silk-producing molluscs of the Mediterranean, Silk is a book rich in the passionate connections made by women and men of science to the diversity of the animal world. It is an intoxicating mix of biography, intellectual history and science writing that brings to life the human obsession with silk.

The concepts of the Electron Statistics (ES) and the ES dependent electronic properties are basic pillars in semiconductor electronics and this first-of-its-kind book deals with the said concepts in doping superlattices (SLs), quantum well, quantum wire and quantum dot SLs, effective mass SLs, SLs with graded interfaces and Fibonacci SLs under different physical conditions respectively. The influences of intense radiation and strong electric fields under said concepts have been considered together with the heavily doped SLs in this context on the basis of newly formulated the electron energy spectra in all the cases. We have suggested experimental determinations of the Einstein relation for the Diffusivity-Mobility ratio, the Debye screening length, Elastic Constants and the content of this book finds 25 different applications in the arena of nanoscience and nanotechnology.This book contains hundred open research problems which form the integral part of the text and are useful for both PhD aspirants and researchers. It is written for post graduate students of various departments of different academic organizations, engineers and professionals in the fields of solid state electronics, materials science, solid state sciences, nano-science, nanotechnology and nano materials in general.

An Economist Best Book of the Year A Financial Times Best Book of the Year A Foreign Affairs Best Book of the Year A ProMarket Best Political Economy Book of the Year One of The Week's Ten Best Business Books of the Year A cutting-edge look at how accelerating financial change, from the end of cash to the rise of cryptocurrencies, will transform economies for better and worse. We think we've seen financial innovation. We bank from laptops and buy coffee with the wave of a phone. But these are minor miracles compared with the dizzying experiments now underway around the globe, as businesses and governments alike embrace the possibilities of new financial technologies. As Eswar Prasad explains, the world of finance is at the threshold of major disruption that will affect corporations, bankers, states, and indeed all of us. The transformation of money will fundamentally rewrite how ordinary people live. Above all, Prasad foresees the end of physical cash. The driving force won't be phones or credit cards but rather central banks, spurred by the emergence of cryptocurrencies to develop their own, more stable digital currencies. Meanwhile, cryptocurrencies themselves will evolve unpredictably as global corporations like Facebook and Amazon join the game. The changes will be accompanied by snowballing innovations that are reshaping finance and have already begun to revolutionize how we invest, trade, insure, and manage risk. Prasad shows how these and other changes will redefine the very concept of money, unbundling its traditional functions as a unit of account, medium of exchange, and store of value. The promise lies in greater efficiency and flexibility, increased sensitivity to the needs of diverse consumers, and improved market access for the unbanked. The risk is instability, lack of accountability, and erosion of privacy. A lucid, visionary work, The Future of Money shows how to maximize the best and guard against the worst of what is to come.

Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.