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Nanotechnology for Sustainable Agriculture : An Innovative and Eco-Friendly Approach
This new volume explores the important and cutting-edge roles that nanotechnology can play in facilitating sustainable agriculture.It provides recent updates on nanobiotechnology in soil science, plant breeding, food science, agricultural tool design and utilization, as well as the impacts of such approaches on properties of soils and plants.The book looks at the use of nanotechnology for crop production and protection, in the creation and application of pesticides, to enhance soil fertility and soil health, as a mitigating factor of plant abiotic stress, and more.The volume explores emerging nanotechnological tools and techniques for crop improvement that include space-inspired speed breeding for crop improvement, nanoparticles as sensing materials, plant nanobionics, nanopore DNA sequencing, and more.
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Inductive Probability
First published in 1961, Inductive Probability is a dialectical analysis of probability as it occurs in inductions.The book elucidates on the various forms of inductive, the criteria for their validity, and the consequent probabilities.This survey is complemented with a critical evaluation of various arguments concerning induction and a consideration of relation between inductive reasoning and logic.The book promises accessibility to even casual readers of philosophy, but it will hold particular interest for students of Philosophy, Mathematics and Logic.
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Probability Models
The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation.It describes how to set up and analyse models of real-life phenomena that involve elements of chance.Motivation comes from everyday experiences of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion.This textbook contains many worked examples and several chapters have been updated and expanded for the second edition.Some mathematical knowledge is assumed. The reader should have the ability to work with unions, intersections and complements of sets; a good facility with calculus, including integration, sequences and series; and appreciation of the logical development of an argument.Probability Modelsis designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics.
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Probability Essentials
We have made small changes throughout the book, including the exercises, and we have tried to correct if not all, then at least most of the typos.We wish to thank the many colleagues and students who have commented c- structively on the book since its publication two years ago, and in particular Professors Valentin Petrov, Esko Valkeila, Volker Priebe, and Frank Knight.Jean Jacod, Paris Philip Protter, Ithaca March, 2002 Preface to the Second Printing of the Second Edition We have bene?ted greatly from the long list of typos and small suggestions sent to us by Professor Luis Tenorio.These corrections have improved the book in subtle yet important ways, and the authors are most grateful to him.Jean Jacod, Paris Philip Protter, Ithaca January, 2004 Preface to the First Edition We present here a one semester course on Probability Theory.We also treat measure theory and Lebesgue integration, concentrating on those aspects which are especially germane to the study of Probability Theory.The book is intended to ?ll a current need: there are mathematically sophisticated s- dents and researchers (especially in Engineering, Economics, and Statistics) who need a proper grounding in Probability in order to pursue their primary interests.Many Probability texts available today are celebrations of Pr- ability Theory, containing treatments of fascinating topics to be sure, but nevertheless they make it di?cult to construct a lean one semester course that covers (what we believe) are the essential topics.
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What is the most efficient way to store energy from renewable energy sources?
The most efficient way to store energy from renewable sources is through battery storage systems. These systems can store excess energy generated from sources like solar or wind power and release it when needed, providing a reliable and consistent energy supply. Battery storage also allows for flexibility in managing energy demand and supply, making it a key component in integrating renewable energy into the grid. Additionally, advancements in battery technology continue to improve efficiency and reduce costs, making it an increasingly viable option for storing renewable energy.
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What are your experiences with green energy or eco-friendly electricity?
I do not have personal experiences with green energy or eco-friendly electricity as I am an AI assistant. However, I can provide information on the topic based on research and data. Green energy sources such as solar, wind, and hydroelectric power are becoming increasingly popular due to their environmental benefits and potential to reduce carbon emissions. Many individuals and businesses are making the switch to eco-friendly electricity to help combat climate change and promote sustainability.
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What distinguishes conditional probability from independent probability?
Conditional probability is the probability of an event occurring given that another event has already occurred. It takes into account the information about the occurrence of one event when calculating the probability of another event. Independent probability, on the other hand, is the probability of one event occurring without any influence from the occurrence of another event. In other words, conditional probability is influenced by the occurrence of a specific event, while independent probability is not influenced by any other event.
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Is solar energy renewable?
Yes, solar energy is renewable because it is derived from the sun, which is a virtually limitless source of energy. The sun's energy is constantly being replenished and will continue to do so for billions of years. This makes solar energy a sustainable and renewable source of power that can be harnessed for electricity generation and other applications.
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Renewable Energy : Power for a Sustainable Future
The provision of sustainable energy supplies for an expanding and increasingly productive world is one of the major issues facing civilisation today. Renewable Energy examines both the practical and economic potential of the renewable energy sources to meet this challenge.The underlying physical and technological principles behind deriving power from direct solar (solar thermal and photovoltaics), indirect solar (biomass, hydro, wind and wave) and non-solar (tidal and geothermal) energy sources are explained, within the context of their environmental impacts, their economics and their future prospects. Renewable Energy provides both perspective and detail on the relative merits and state of progress of technologies for utilizing the various 'renewables'.The analysis considers emissions, sustainability, cost implications and energy security, as political and economic pressures move society towards a low-carbon future.From an overview of basic energy conversion processes, through a discussion of the individual renewable sources, to a concluding examination of the prospects for their integration into national and international networks and the outlook for renewable energy, this book provides a valuable insight into prospects for the renewables. Online resources Renewable Energy is accompanied by online resources which include: For students:· Auto- marked multiple choice questions to accompany each chapter· Curated links to further information and up-to-date energy statistics.For registered adopters of the book:· Figures from the book: available to download for use in lectures
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High-Probability Trading
"The Goal Is to Teach All Traders to Think with the Mindset of a Successful Trader..." While successful trading requires tremendous skill and knowledge, it begins and ends with mindset.What do exceptional traders think when they purchase a quality stock and the price immediately plummets?How do they keep one bad trade from destroying their confidence - and bankroll?What do they know that the rest of us don't? "Some trades are not worth the risk and should never be done."High Probability Trading" shows you how to trade only when the odds are in your favor.From descriptions of the software and equipment an exceptional trader needs high probability signals that either a top or bottom has been reached, it is today's most complete guidebook to thinking like an exceptional trader - every day, on every trade. "It's not how good you are at one individual thing, but it's the culmination of every aspect of trading that makes one successful."Before he became a successful trader, Marcel Link spent years wading from one system to the next, using trial and error to figure out what worked, what didn't, and why. In "High Probability Trading", Link reveals the steps he took to become a consistent, patient, and winning trader - by learning what to watch for, what to watch out for, and what to do to make each trade a high probability trade. "Why do a select few traders repeatedly make money while the masses lose?What do bad traders do that good traders avoid, and what do winning traders do that is different?Throughout this book I will detail how successful traders behave differently and consistently make money by making high probability trades and avoiding common pitfalls..." - From the preface.Within 6 months of beginning their careers full of promise and hope, most traders are literally out of money and out of trading. "High Probability Trading" reduces the likelihood that you will have to pay this "traders' tuition," by detailing a market-proven program for weathering those first few months and becoming a profitable trader from the beginning.Combining a uniquely blunt look at the realities of trading with examples, charts, and case studies detailing actual hits and misses of both short- and long-term traders, this straightforward guidebook discusses: the 10 consistent attributes of a successful trader, and how to make them work for you; strategies for controlling emotions in the heat of trading battle; technical analysis methods for identifying trends, breakouts, reversals, and more; market-tested signals for consistently improving the timing of entry and exit points; how to "trade the news" - and understand when the market has already discounted it; and learning how to get out of a bad trade before it can hurt you. The best traders enter the markets only when the odds are in their favor. "High Probability Trading" shows you how to know the difference between low and high probability situations, and only trade the latter.It goes far beyond simply pointing out the weaknesses and blind spots that hinder most traders to explaining how those defects can be understood, overcome, and turned to each trader's advantage.While it is a cliche, it is also true that there are no bad traders, only bad trades.Let "High Probability Trading" show you how to weed the bad trades from your trading day by helping you see them before they occur.Packed with charts, trading tips, and questions traders should be asking themselves, plus real examples of traders in every market situation, this powerful book will first give you the knowledge and tools you need to tame the markets and then show you how to meld them seamlessly into a customized trading program - one that will help you join the ranks of elite traders and increase your probability of success on every trade.
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Fundamentals of Probability
Praise for the fourth edition:"This book is an excellent primer on probability ….The flow of the text aids its readability, and the book is indeed a treasure trove of set and solved problems. --Dalia Chakrabarty, Brunel University, UK"This textbook provides a thorough and rigorous treatment of fundamental probability, including both discrete and continuous cases.The book’s ample collection of exercises gives instructors and students a great deal of practice and tools to sharpen their understanding." --Joshua Stangle, University of Wisconsin – Superior, USAThis one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science.It presents probability in a natural way: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology.This book is mathematically rigorous and, at the same time, closely matches the historical development of probability.Whenever appropriate, historical remarks are included, and the 2096 examples and exercises have been carefully designed to arouse curiosity and hence encourage students to delve into the theory with enthusiasm. New to the Fifth Edition:In this edition, a significant change has been made in the order of material presentation. The topics such as the joint probability mass function, joint probability density functions, independence of random variables, sums of random variables, the central limit theorem, and certain other materials have been covered earlier in the book, enabling students to grasp these crucial concepts from the start.These changes have considerable merit, particularly the idea of covering the celebrated central limit theorem immediately after discussing the normal distribution.Additionally, discussions on sigma fields are provided and an in-depth section on characteristic functions is added.The central limit theorem has been proven using both moment-generating functions and characteristic functions. In the present edition, numerous new figures are included that were drawn for the first time, specifically to aid in students’ understanding of the material.These fresh illustrations, along with all the previous ones in the book, have been meticulously crafted by the technical support team at CRC. Instructors who prefer the content arrangement used in previous editions can still teach the material in the same order as those editions.Moreover, the homepage of this book contains a whole chapter with comprehensive coverage on Stochastic Processes as well as additional contents for Chapters 1 to 10, such as extra examples, supplementary topics, and practical applications to facilitate in-depth exploration.Furthermore, it offers thorough solutions for all self-tests and self-quiz problems, empowering students to assess their progress and grasp of this demanding subject. In this new edition, at the end of select chapters, sections are included dedicated to exploring approximate solutions for complex probabilistic problems using simulation techniques.These simulations are conducted using the R software, a powerful tool well-suited for probabilistic simulations due to its extensive collection of built-in functions and numerous specialized libraries designed for various simulation purposes.In the homepage of the book, a chapter, titled “Algorithm-Driven Simulations,” is presented in which we delve deeply into the concept of simulation using algorithms exclusively, without being tied to any specific programming language.
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Probability For Dummies
Learn how to calculate your chances with easy-to-understand explanations of probability Probability—the likelihood or chance of an event occurring—is an important branch of mathematics used in business and economics, finance, engineering, physics, and beyond.We see probability at work every day in areas such as weather forecasting, investing, and sports betting.Packed with real-life examples and mathematical problems with thorough explanations, Probability For Dummies helps students, professionals, and the everyday reader learn the basics.Topics include set theory, counting, permutations and combinations, random variables, conditional probability, joint distributions, conditional expectations, and probability modeling.Pass your probability class and play your cards right, with this accessible Dummies guide.Understand how probability impacts daily lifeDiscover what counting rules are and how to use themPractice probability concepts with sample problems and explanationsGet clear explanations of all the topics in your probability or statistics class Probability For Dummies is the perfect Dummies guide for college students, amateur and professional gamblers, investors, insurance professionals, and anyone preparing for the actuarial exam.
Price: 18.99 £ | Shipping*: 3.99 £
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What is renewable energy?
Renewable energy is energy that is collected from resources that are naturally replenished on a human timescale, such as sunlight, wind, rain, tides, waves, and geothermal heat. These sources of energy are considered sustainable because they are naturally replenished and do not deplete finite resources. Renewable energy is seen as a cleaner and more environmentally friendly alternative to fossil fuels, as it produces lower levels of greenhouse gas emissions and reduces our dependence on non-renewable resources.
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What are renewable resources and renewable energy sources?
Renewable resources are natural resources that can be replenished or regenerated over time, such as sunlight, wind, and water. Renewable energy sources are sources of energy that come from these renewable resources, such as solar power, wind power, hydropower, and geothermal energy. These sources of energy are considered sustainable and environmentally friendly because they do not deplete the Earth's resources and produce lower levels of greenhouse gas emissions compared to fossil fuels.
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What are renewable and non-renewable energy sources?
Renewable energy sources are those that can be replenished naturally and are not depleted when used, such as solar, wind, hydro, and geothermal energy. These sources are sustainable and have minimal impact on the environment. Non-renewable energy sources, on the other hand, are finite and cannot be replenished in a short period of time, such as fossil fuels like coal, oil, and natural gas. These sources are not sustainable and contribute to environmental pollution and climate change.
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Are renewable resources the same as sustainable resources?
Renewable resources and sustainable resources are related concepts but not exactly the same. Renewable resources are those that can be replenished naturally over time, such as sunlight, wind, and water. Sustainable resources, on the other hand, refer to resources that are managed in a way that meets current needs without compromising the ability of future generations to meet their own needs. While renewable resources are often considered sustainable, not all sustainable resources are necessarily renewable, as some non-renewable resources can be managed in a way that ensures their long-term availability.
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