Search Results for "2021/03"
The book describes the difficulties of the current international corporate income tax system. It starts by describing its origins and how changes, such as the development of multinational enterprises and digitalization have created fundamental problems, not foreseen at its inception. These include tax competition—as governments try to attract tax bases through low tax rates or incentives, and profit shifting, as companies avoid tax by reporting profits in jurisdictions with lower tax rates. The book then discusses solutions, including both evolutionary changes to the current system and fundamental reform options. It covers both reform efforts already under way, for example under the Inclusive Framework at the OECD, and potential radical reform ideas developed by academics.
The planet is currently experiencing a mass extinction event, with human and business activity being the root cause of species loss and habitat destruction. Industries, companies, banks, investors, accountants and auditors have all played their role. This book explores how they can also provide a solution. The book presents plans, metrics, frameworks, mechanisms and financial innovations that can be, and are being, implemented through the financial markets in order to save and protect species, enhance biodiversity and, at the same time, preserve the financial markets and the business world. This biodiversity handbook addresses the intersection between species extinction and the global capitalist system. With contributions from leading non-governmental organisations such as the Capitals Coalition, Business for Nature, the Ecojustice Foundation, ShareAction and the Endangered Wildlife Trust, plus senior researchers in the field, as well as industry experts from Moody’s, EOS at Hermes Federated Investment Management, BlueBay Asset Management, ODDO BHF Asset Management and OSSIAM (to mention just a few), this book is at the forefront of addressing the crucially important topics of extinction accounting, finance and governance. Drawing on leading research, the book is written in an accessible style and is relevant to researchers and students in the fields of sustainability, governance, accounting, finance, corporate social responsibility and corporate governance. It is essential reading for investors, responsible investors, bankers, business leaders and policy makers in the field of sustainable financial markets. Given the interdisciplinary nature of this book, it is useful to conservationists, ecologists and others involved in species and biodiversity protection.
Master Oracle’s AutoUpgrade tool effectively to upgrade Oracle databases from lower versions to 19c. KEY FEATURES ● In-depth practical demonstration of Oracle database upgrades with various real-time scenarios. ● Step-by-step illustration of each Oracle database upgrade and downgrade method. ● Fastest ever multiple Oracle databases upgrade. DESCRIPTION 'Oracle 19c AutoUpgrade Best Practices' is a simple cookbook for database professionals to upgrade from lower versions to 19c or downgrade from 19c to lower versions This book is dedicated solely to demonstrate upgrading Oracle Databases to 19c by using AutoUpgrade tool. It has a very good explanation about different AutoUpgrade processing modes (Analyze, Fixup, Deploy, and Upgrade) and various stages that the AutoUpgrade job runs while performing database upgrade. Multiple chapters in this book covers various scenarios with detailed steps for upgrading Oracle database from versions 11g/12c/18c to version 19c and Downgrading from 19c to 11g/12c/18c. By the end of this book, every Oracle DBA can gain real-time experience and become a master in upgrading and downgrading oracle databases (Standalone, RAC, Standby) using AutoUpgrade Utility. WHAT YOU WILL LEARN ● Learn to use the Oracle database upgrade tool AutoUpgrade for various DB challenges. ● Understand how to convert a non-container database to a 19c pluggable database. ● Get to know how to upgrade multiple databases of different versions to 19c in a single operation. WHO THIS BOOK IS FOR This book is intended for Oracle DBA students, Database administrators, Database Architects and anyone else who want to improve their database upgrade or downgrade skills in a concise and understandable manner. TABLE OF CONTENTS 1. Introduction to DB Upgrades 2. Upgrading Oracle Database from 22.214.171.124 to 19.9.0 Using dbupgrade (Manual) 3. Upgrading Oracle Database from 126.96.36.199 to 19.9.0 (Using AutoUpgrade) 4. Upgrading and Converting 12c non-CDB as 19c PDB 5. Upgrading Oracle Multitenant Database from 12c/18c to 19c 6. Upgrading and Converting 12c non-CDB as 19c PDB (using AutoUpgrade) 7. Upgrading Multiple Database Versions (11g/12c/18c) to 19c Using the Single AutoUpgrade Command
Vital Statistics of the United States: Births, Life Expectancy, Deaths, and Selected Health Data brings together a comprehensive collection of birth, mortality, health, and marriage and divorce data into a single volume. It provides a wealth of information compiled by the National Center for Health Statistics and other government agencies. Vital Statistics contains over 225 tables and is divided into four parts: Births, Mortality, Health, and Marriage and Divorce. Charts and graphs, available at applicable points in each chapter, illustrate some of the most vital trends in the data. In addition, updated definitions reflect the latest federal parameters for information about births, mortality, health, and marriages. New COVID-19 data is woven into each section where appropriate. Some of the new tables include data on pregnant women with COVID-19, historical daily case trends, and demographic characteristics of people receiving the vaccine.
This book examines the development and technical progress of self-driving vehicles in the context of the Vision Zero project from the European Union, which aims to eliminate highway system fatalities and serious accidents by 2050. It presents the concept of Autonomous Driving (AD) and discusses its applications in transportation, logistics, space, agriculture, and industrial and home automation.
This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization. The book gathers the emerging technologies and applications in various disciplines involving geotechnics, civil engineering, and structures, which are presented in numerous high-quality papers by worldwide researchers, practitioners, policymakers, and entrepreneurs at the 6th CIGOS event, 2021. Moreover, by sharing knowledge and experiences around emerging GI technologies and policy issues, the book aims at encouraging adoption of GI technologies as well as building capacity for implementing GI practices at all scales. This book is useful for researchers and professionals in designing, building, and managing sustainable buildings and infrastructure.
If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite. In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more. Quickly look up how to perform specific tasks using SQL Apply the book's syntax examples to your own queries Update SQL queries to work in five different database management systems NEW: Connect Python and R to a relational database NEW: Look up frequently asked SQL questions in the "How Do I?" chapter
Mansions of the Moon: A Lunar Zodiac for Astrology and Magic 2nd Edition with 2019-2033 Mansion Ephemeris
NEW YORK TIMES BESTSELLER • From the author of Salt Sugar Fat comes a “gripping” (The Wall Street Journal) exposé of how the processed food industry exploits our evolutionary instincts, the emotions we associate with food, and legal loopholes in their pursuit of profit over public health. “The processed food industry has managed to avoid being lumped in with Big Tobacco—which is why Michael Moss’s new book is so important.”—Charles Duhigg, author of The Power of Habit Everyone knows how hard it can be to maintain a healthy diet. But what if some of the decisions we make about what to eat are beyond our control? Is it possible that food is addictive, like drugs or alcohol? And to what extent does the food industry know, or care, about these vulnerabilities? In Hooked, Pulitzer Prize–winning investigative reporter Michael Moss sets out to answer these questions—and to find the true peril in our food. Moss uses the latest research on addiction to uncover what the scientific and medical communities—as well as food manufacturers—already know: that food, in some cases, is even more addictive than alcohol, cigarettes, and drugs. Our bodies are hardwired for sweets, so food giants have developed fifty-six types of sugar to add to their products, creating in us the expectation that everything should be cloying; we’ve evolved to prefer fast, convenient meals, hence our modern-day preference for ready-to-eat foods. Moss goes on to show how the processed food industry—including major companies like Nestlé, Mars, and Kellogg’s—has tried not only to evade this troubling discovery about the addictiveness of food but to actually exploit it. For instance, in response to recent dieting trends, food manufacturers have simply turned junk food into junk diets, filling grocery stores with “diet” foods that are hardly distinguishable from the products that got us into trouble in the first place. As obesity rates continue to climb, manufacturers are now claiming to add ingredients that can effortlessly cure our compulsive eating habits. A gripping account of the legal battles, insidious marketing campaigns, and cutting-edge food science that have brought us to our current public health crisis, Hooked lays out all that the food industry is doing to exploit and deepen our addictions, and shows us why what we eat has never mattered more.
This IBM® Redbooks® publication helps you with the planning, installation, and configuration of the new IBM Spectrum® Archive Enterprise Edition (EE) Version 188.8.131.52 for the IBM TS4500, IBM TS3500, IBM TS4300, and IBM TS3310 tape libraries. IBM Spectrum Archive Enterprise Edition enables the use of the LTFS for the policy management of tape as a storage tier in an IBM Spectrum Scale based environment. It also helps encourage the use of tape as a critical tier in the storage environment. This edition of this publication is the tenth edition of IBM Spectrum Archive Installation and Configuration Guide. IBM Spectrum Archive EE can run any application that is designed for disk files on a physical tape media. IBM Spectrum Archive EE supports the IBM Linear Tape-Open (LTO) Ultrium 9, 8, 7, 6, and 5 tape drives. and the IBM TS1160, TS1155, TS1150, and TS1140 tape drives. IBM Spectrum Archive EE can play a major role in reducing the cost of storage for data that does not need the access performance of primary disk. The use of IBM Spectrum Archive EE to replace disks with physical tape in tier 2 and tier 3 storage can improve data access over other storage solutions because it improves efficiency and streamlines management for files on tape. IBM Spectrum Archive EE simplifies the use of tape by making it transparent to the user and manageable by the administrator under a single infrastructure. This publication is intended for anyone who wants to understand more about IBM Spectrum Archive EE planning and implementation. This book is suitable for IBM customers, IBM Business Partners, IBM specialist sales representatives, and technical specialists.
This open access book summarizes research being pursued within the SISCODE (Society in Innovation and Science through CO-DEsign) project, funded by the EU under the H2020 programme, the goal of which is to set up an analytical, reflective and learning framework to explore the transformations in initiatives and policies emerging from the interaction between citizens and stakeholders. The book provides a critical analysis of the co-design processes activated in 10 co-creation labs addressing societal challenges across Europe. Each lab as a case study of real-life experimentation is described through its journey, starting from the purpose on the ground of the experimentation and the challenge addressed. Specific attention is then drawn on the role of policies and policy maker engagement. Finally, the experimentation is enquired in terms of its output, transformations triggered within the organization and the overall ecosystem, and its outcomes, opening the reasoning towards the lessons learnt and reflections that the entire co-creation journey brought.
Become proficient in deriving insights from time-series data and analyzing a model's performance Key Features Explore popular and modern machine learning methods including the latest online and deep learning algorithms Learn to increase the accuracy of your predictions by matching the right model with the right problem Master time-series via real-world case studies on operations management, digital marketing, finance, and healthcare Book Description Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making. This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering. Machine Learning for Time-Series with Python explains the theory behind several useful models and guides you in matching the right model to the right problem. The book also includes real-world case studies covering weather, traffic, biking, and stock market data. By the end of this book, you will be proficient in effectively analyzing time-series datasets with machine learning principles. What you will learn Understand the main classes of time-series and learn how to detect outliers and patterns Choose the right method to solve time-series problems Characterize seasonal and correlation patterns through autocorrelation and statistical techniques Get to grips with time-series data visualization Understand classical time-series models like ARMA and ARIMA Implement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning models Become familiar with many libraries like Prophet, XGboost, and TensorFlow Who this book is for This book is ideal for data analysts, data scientists, and Python developers who are looking to perform time-series analysis to effectively predict outcomes. Basic knowledge of the Python language is essential. Familiarity with statistics is desirable.
This book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Best Practice Examples of Implementing Ecosystem-Based Natural Hazard Risk Management in the GreenRisk4ALPs Pilot Action Regions
One of the best ways to improve collective knowledge and practice is through sharing experiences and knowledge between different stakeholders. The idea for the current monograph followed such an approach. The monograph presents six best practice examples from six of the project’s Pilot Action Regions (PAR). It is one of the deliverables of the GreenRisk4ALPs project funded by the EU Interreg Alpine Space program. The project aims to develop decision support tools supporting risk-based protective forest management in the Alpine Space. All main outputs of the project have been tested, improved and operationally applied in the PARs. The monograph is primarily intended for forestry experts, decision-makers at all levels of decision-making and other professionals.
Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key Features Explore Amazon QuickSight, manage data sources, and build and share dashboards Learn best practices from an AWS certified big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrail Book Description Amazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table – but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight's fundamental concepts and how to configure data sources, you'll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You'll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you'll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You'll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you'll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you'll be well-versed with QuickSight's BI and analytics functionalities that will help you create BI apps with ML capabilities. What you will learn Understand the wider AWS analytics ecosystem and how QuickSight fits within it Set up and configure data sources with Amazon QuickSight Include custom controls and add interactivity to your BI application using parameters Add ML insights such as forecasting, anomaly detection, and narratives Explore patterns to automate operations using QuickSight APIs Create interactive dashboards and storytelling with Amazon QuickSight Design an embedded multi-tenant analytics architecture Focus on data permissions and how to manage Amazon QuickSight operations Who this book is for This book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required.