Neha Sharma

D couvrez les saveurs envo tantes et les ar mes d licats de la cuisine indienne gr ce "Saveurs de l'Inde". Neha Sharma, passionn e de cuisine indienne et chef de renom, vous propose une s lection de recettes traditionnelles et modernes pour satisfaire toutes vos envies culinaires. De la fameuse cuisine pic e du Nord de l'Inde aux plats plus doux du Sud, en passant par les currys et les biryanis, chaque recette est un v ritable voyage gustatif qui vous emm nera au coeur de la culture indienne. Ce livre de cuisine vous permet de d couvrir l'art de la pr paration des pices indiennes, ainsi que les techniques de cuisson utilis es pour obtenir des plats d licieux et sains. Des conseils pratiques pour les d butants et les experts en cuisine indienne sont inclus, afin de garantir une exp rience culinaire r ussie. Que vous soyez v g tarien, v g talien ou amateur de viande, vous trouverez dans "Saveurs de l'Inde" des recettes adapt es tous les r gimes alimentaires et tous les go ts. Neha Sharma vous offre un voyage culinaire inoubliable travers la cuisine indienne, le tout dans le confort de votre propre cuisine.

An electrocardiogram (ECG) is a vital diagnostic tool used to measure the electrical activity of the heart. It provides a visual representation of the heart's rhythm, rate, and other important parameters, allowing doctors to diagnose and monitor a wide range of heart conditions. ECG interpretation can be a daunting task, particularly for healthcare professionals who lack formal training in cardiology. However, with the right approach, anyone can learn to interpret ECGs accurately and efficiently. One common pitfall when interpreting ECGs is overcomplicating the analysis. It's easy to get lost in the maze of complex waveforms and measurements, but in reality, many ECG findings can be understood using a simple and logical approach. In this book, we will explore some tips and strategies for mastering the art of ECG interpretation, with a particular emphasis on keeping it simple. By following these guidelines, healthcare professionals can gain confidence in their ECG interpretation skills and provide better patient care.

This book discusses the use of technology, data science and open data to achieve the net-zero carbon emissions target set up by the Paris Agreement on climate change. There have been many discussions around sustainability and climate change solutions to mitigate the negative impact. However, using technology levers to tackle climate challenges is rarely seen as the most significant catalyst. The available research in this field is generally qualitative in nature, where technology and data have not yet been leveraged. By using AI/ML, the book predicts the climate change consequences arising due to investment in fossil fuel sectors, estimates CO2 emissions from the transport sector, forecasts average land temperature due to non-renewable sources of energy, and segments Indian states on the basis of household carbon emissions. The researchers, policymakers, students, teachers, educational institutions, governments, regulators, companies, international organizations, etc., will benefit immensely by referring to this book. Moreover, the endeavour of this book is to provide a decarbonized environment and a better tomorrow to the next generation.

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This book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher orientation. Over the last 300 years, industrial revolutions have had game-changing impact on societies. Presently, by and large, we are at the crossroads of the fourth industrial revolution, where phygital systems are going to play a massive role, where digital systems can simulate and go beyond the limitations of the physical world, thereby enabling a new world order. This transformation is cutting across every sphere known to mankind. The world will become a globally localized marketplace. In today’s business world, sustainability is a corporate agenda. Enterprises are also aiming to be purpose-driven, adaptive and resilient to disruptions. The contributions to community and environment are part of their corporate branding. The book explores and presents a part of the open data sets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in the areas of environment, agriculture and health care through the lens of data science. The authors believe that the above three areas chosen have deep relevance in today’s world. The intent is to explore these issues from a data and analytics perspective and identify cracks through which deeper inroads can be made. Conscious efforts have been taken to make use of all the major data science techniques like prediction, classification, clustering, and correlation. Given the above background, deeper waters will be explored through the contents of this book.

This book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher orientation. Over the last 300 years, industrial revolutions have had game-changing impact on societies. Presently, by and large, we are at the crossroads of the fourth industrial revolution, where phygital systems are going to play a massive role, where digital systems can simulate and go beyond the limitations of the physical world, thereby enabling a new world order. This transformation is cutting across every sphere known to mankind. The world will become a globally localized marketplace. In today’s business world, sustainability is a corporate agenda. Enterprises are also aiming to be purpose-driven, adaptive and resilient to disruptions. The contributions to community and environment are part of their corporate branding. The book explores and presents a part of the open data sets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in the areas of environment, agriculture and health care through the lens of data science. The authors believe that the above three areas chosen have deep relevance in today’s world. The intent is to explore these issues from a data and analytics perspective and identify cracks through which deeper inroads can be made. Conscious efforts have been taken to make use of all the major data science techniques like prediction, classification, clustering, and correlation. Given the above background, deeper waters will be explored through the contents of this book.