Search results

"Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information, both real and fake, travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: - Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across 'short term' and 'long term'; - Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump's policies; - Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; - Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities."

Intro -- Half Title -- Title Page -- Copyright -- Dedication -- Contents -- Acknowledgements -- Introduction -- Chapter 1 : Where were You the Day President Kennedy was Shot? -- Chapter 2 : Modi and Gujarat Model of Politics -- Chapter 3 : Demonetisation: Why the Of cial Logic may be Flawed -- Chapter 4 : The Role of Human Psychology -- Chapter 5 : Search for On-the-Ground Sentiment -- Chapter 6 : Demonetisation and the Forecast for 2019 -- Chapter 7 : From the Rear View Mirror and the Road Ahead -- Notes and References -- Index

What will the future be? A dystopian landscape controlled by machines or a brave new world full of possibilities? Perhaps the answer lies with Artificial Intelligence (AI)--a phenomenon much beyond technology that has, continues to, and will shape lives in ways we do not understand yet. This book traces the evolution of AI in contemporary history. It analyses how AI is primarily being driven by "capital" as the only "factor of production" and its consequences for the global political economy. It further explores the dystopian prospect of mass unemployment by AI and takes up the ethical aspects of AI and its possible use in undermining natural and fundamental rights. A tract for the times, this volume will be a major intervention in an area that is heavily debated but rarely understood. It will be essential reading for researchers and students of digital humanities, politics, economics, science and technology studies, physics, and computer science. It will also be key reading for policy makers, cyber experts and bureaucrats.

Thermal analysis of 155 Gun barrel is an important aspect of designing the gun barrel and deciding the maximum firing rate. The performance of any artillery depends upon the thermal behaviour of the gun barrel among various factors, and its availability for continuous firing depends on the maximum bore temperature and cook-off time of the barrel. In this paper, the effect of maximum bore temperature, cook-off, active cooling is reviewed. Heat transfer to the gun barrel surface is calculated using analytical analysis with given ammunition parameters. Analytical and finite element analysis of maximum bore temperature and cook-off time is also included. Finite element analysis of external Jacket water cooling of the barrel shows that the gun can fire continuously at three rounds per minute without reaching cook-off temperature.

Abstract
A dynamic time-separated lean–agile spare part replenishment system can prove beneficial to the army by being efficient (cost saving) during peace and effective (assured availability) during war. The logistics echelons must have certain attributes in order to implement such a dynamic replenishment system. The purpose of this article is to identify the factors/attributes that are necessary in a spare part replenishment system of vehicles and weapon platforms in order to implement a time-separated lean–agile strategy through a systematic literature review. Furthermore, the article will investigate the impact of these factors/attributes, individually and collectively, on overall system performance. This will enable logistics managers to focus only on the factors that have greater impact on the system. A model explaining the effects of various contributory factors/attributes on the overall logistics system has been developed through a comprehensive literature review, experts' judgments and inputs from practising logisticians in the military field. The article then models the system using a Bayesian belief network (BBN) on Netica software. After the development of the model using Netica, a sensitivity analysis based on the mutual information criterion is conducted to identify the critical factors that most significantly affect a dynamic lean–agile spare part replenishment system. The study addresses the identified need of applying BBN to model an uncertain and complex military logistics domain.

<i>Aims:</i> Diamorphine (heroin) is one of the longest established medications with a 130-year history. In British medicine diamorphine is sometimes used as a maintenance treatment for opiate addiction but is also routinely used in clinical practice to treat a number of general medical conditions. These uses are very different but are often confused by observers of the British system. The routine clinical use of diamorphine in medicine is unique to the UK, but this is not well known outside the UK. The present study investigates the use of diamorphine to treat medical conditions by general practitioners and by hospital doctors. <i>Method:</i> In a survey of 141 medical practitioners who had prescribed diamorphine for the treatment of a medical condition, data were collected on conditions prescribed for, numbers of patients, dosage, routes of administration, duration of treatment, worries about prescribing diamorphine and observed adverse effects. <i>Findings:</i> Many doctors had prescribed diamorphine to a large number of patients. The four main conditions for which diamorphine had been prescribed in the previous year were myocardial infarction, palliative care, pulmonary oedema, and post-operative pain. More than half of the sample (57%) reported no reservations about prescribing diamorphine. Of the doctors (n = 60, 43%) who expressed worries, this was most often about possible problems of respiratory depression or respiratory arrest. Respiratory arrest/failure was also the most frequent observed adverse effect. Relatively few doctors reported worries about addiction. <i>Conclusions:</i> Although diamorphine was widely used and most doctors regarded it as a useful medication, there remains insufficient research information about current clinical practice. At a time when diamorphine may be coming under increased scrutiny, more detailed information is required of its uses and applications.