Heisenbergs uncertainty principle - PowerPoint PPT Presentation

Heisenberg's Uncertainty Principle, proposed by German scientist Werner Heisenberg in 1927, states the impossibility of simultaneously and accurately determining the position and momentum of microscopic particles like electrons. This principle challenges classical concepts of definite position and m

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Exploring Bayesian reasoning principles such as Bayesian inference and Naïve Bayes algorithm in the context of uncertainty. The content covers the sources of uncertainty, decision-making strategies, and practical examples like predicting alarm events based on probabilities.

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Measurement uncertainty in testing is a crucial aspect that characterizes the dispersion of values attributed to a measurand. This uncertainty plays a key role in reporting accurate test results, requiring careful evaluation of all significant contributions. The ISO/IEC Guide 98 GUM provides essenti

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Explore the tension between creativity and efficiency in innovation through Pearsons' Uncertainty Map (1991), which categorizes uncertainty about ends and means. The map helps analyze uncertainty in various innovation processes, from exploratory research to improving existing products, offering insi

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Exploring the multiplication counting principle in probability, this lesson delves into determining the number of ways to complete a process involving multiple steps. Using factorials for permutations, the content showcases how to compute permutations of individuals taken at a time. Through examples

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This study by A.A. Sonzogni and E.A. McCutchan focuses on developing cumulative fission yield covariances for uncertainty quantification in nuclear reactors. The research involves calculating cumulative fission yields, using decay data and nuclear databases, to improve accuracy in predicting fission

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Amidst the rise of cryptocurrencies, particularly Bitcoin, this study by Dr. Ur Koumba explores the relationship between uncertainty and cryptocurrency returns using a Copula-based approach. The research delves into the impact of uncertainty on the volatile nature of cryptocurrencies, shedding light

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Known patterns and models exist for heavy rainfall forecasting, but uncertainty remains. Ensembles and probabilities help manage this uncertainty. Sharp edges in precipitation shields are key, with models improving to anticipate these features more accurately. Understanding the dynamics of edges can

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The uncertainties in the direct radiative forcing of aerosols can be assessed by considering factors such as emissions, lifetime, Mass Absorption Cross Section (MAC), Aerosol Absorption Optical Depth (AAOD), and forcing efficiency. Variations in these factors contribute to the overall uncertainty in

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Reviewing the O2 CO2 calibration uncertainty, recent updates include identifying beam clipping on the reflection photodiode, switching to the transmitted photodiode, correcting time-dependent errors, and reducing overall uncertainty budget to primarily statistical uncertainty. Data and scripts used

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Jordan's Principle is a vital advocacy tool aimed at ensuring equitable access to necessary services for First Nations children, emphasizing prompt resolution of jurisdictional disputes. Originating from the story of Jordan River Anderson, its implementation has faced challenges and legal battles. C

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This research explores the impact of uncertainty and precommitment on social dilemmas, specifically focusing on the Interdependent Security (IDS) scenario. It investigates how precommitment influences investment rates and decision-making in situations involving stochastic losses and risky investment

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This study explores the influences of supplier market competition, volume uncertainty, technological uncertainty, and production costs on make-or-buy decisions. Transaction cost economics theory highlights the impact of uncertainty and asset specificity on such decisions, with a focus on buyer-suppl

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Explore the sources of economic, social, and political uncertainty at regional and global levels. Discuss the rising tide of uncontrollable uncertainty and its implications for public policy and communities. Delve into economic globalization, social fragmentation, and the challenges posed by a world

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Probability plays a crucial role in decision-making under uncertainty, where factors like laziness, ignorance, and randomness influence outcomes. This lecture covers key concepts in probability, including outcomes, events, random variables, and conditional independence. It also delves into the chall

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Explore the concept of estimating with uncertainty, focusing on calculating a mean and using standard error to describe the uncertainty in that mean. Delve into human height, a variable described by a normal distribution, to understand how samples may deviate from the true mean. Discover sampling er

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Explore the concepts of uncertainty in Bayesian reasoning, including probabilistic effects, multiple causes, and incomplete knowledge. Understand decision-making under uncertainty through rational behavior principles. Delve into scenarios involving alarm systems and predicting outcomes based on prob

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Explore the concept of worry and uncertainty in the mind management skills workshop. Understand the vicious cycle of worry, practice skills to manage worry effectively, and review your progress through homework assignments. Discover how worry is a response to uncertainty and learn strategies to brea

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The Pigeonhole Principle, demonstrated through examples and explanations by Dr. J. Frost, illustrates the concept that if you have more "pigeons" than "holes," then at least one "hole" must contain multiple "pigeons." This fundamental principle is essential in solving various mathematical problems i

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General Practitioners (GPs) encounter uncertainty in their practice and utilize various strategies to address it. These strategies include safety netting, seeking advice from colleagues, sharing uncertainty with patients, review/follow-up processes, investigations, building rapport, and more. Collea

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Sampling uncertainty arises due to variations in sample values, impacting statistical estimates. Larger samples reduce uncertainty, providing more precise estimates. Adequate sample sizes are crucial, especially for comparing different groups or magnitudes of effects. By quantifying uncertainty, res

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The concept of reciprocity in access to public procurement markets, particularly in the European Union, has gained prominence in recent years. This principle involves mutual opening obligations for public procurement markets while considering concessions and exceptions, such as excluding defense and

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Uncertainty Quantification (UQ) is crucial in determining likely outcomes in scenarios with unknown factors. Explore the concept through the Algae Example, where parameters like growth rates pose challenges due to uncertainty. Statistical techniques like MCMC and the DRAM algorithm play key roles in

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Uncertainty in demand planning can lead to inefficiencies in the supply chain. This course covers various tools and techniques to manage demand, supply, and lead time variability, reducing costs and optimizing operations. Learn to recognize and address causes of uncertainty, apply forecasting techni

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Explore the concept of risk and uncertainty in insurance markets, with insights on the definitions, expected value calculations, and practical examples like daily number bets and roulette. Gain a deeper understanding of how risk and uncertainty play crucial roles in decision-making and financial out

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This presentation explores the intricate relationship between confidence, uncertainty, and risk in decision-making processes within engineering design studies. It highlights the importance of considering various perspectives and evaluating potential risks and benefits to make informed decisions. The

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This study by Konstantinos Drakos explores the relationship between uncertainty and investment decisions in a real options framework using plant-level data from Greece. It reveals a negative correlation between uncertainty and the investment extensive margin, suggesting a wait-and-see strategy in am

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The presentation discusses the longstanding issue of uncertainty estimation in hydrology and the importance of incorporating physical knowledge in stochastic modeling of uncertain systems. It highlights the role of expert judgment and how uncertainty will always be present in hydrological assessment

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This content explores Jordan's Principle, a commitment to providing First Nations children with essential services and support. It discusses the legacy of Jordan River Anderson and Canada's efforts to uphold the principle. The work of the Jordan's Principle Action Table is highlighted, along with th

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Concept of uncertainty in health measurements is crucial for ensuring accuracy in diagnostic processes. This involves factors such as within-run precision, between-run precision, calibrator coverage, mean calculations, standard deviation, and expanded uncertainty. Proper calibration, repeated testin

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The paper explores the concept of uncertainty in the financial sector, proposing a novel measure using expectation errors of managers. It discusses the impact of uncertainty on economic activity, drawing from relevant literature and financial services survey data. The study aims to address the lack

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In Chapters 13 and 14 of Artificial Intelligence, explore how agents handle uncertainty with degrees of belief and probabilistic reasoning. Discover the use of probability theory in building network models to reason under uncertainty. Delve into topics like conditional probabilities, Bayesian networ

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This content delves into the interlinkages between uncertainty and investments at a micro-economic level, focusing on the impact of global economic policy uncertainty on investment flows. It highlights the relationship between uncertainty and investments in both advanced and emerging economies, disc

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This content explores the principles of Object-Oriented Design (OOD) and the SOLID principles. It delves into topics like Single Responsibility Principle, Open-Closed Principle, Liskov Substitution Principle, Interface Segregation Principle, and Dependency Inversion Principle. Additionally, it discu

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The Pigeonhole Principle explains that if more pigeons are allocated to pigeonholes, then at least one hole must have multiple pigeons. This principle is also extended to the Generalized Pigeonhole Principle, showcasing that in a scenario with n pigeons and h holes, one hole will contain at least n/

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The Pigeonhole Principle is a fundamental concept in discrete mathematics that asserts if there are more pigeons than pigeonholes, at least one hole must contain multiple pigeons. This principle is applied in various scenarios to analyze combinatorial problems and establish the existence of repetiti

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This study focuses on evaluating the impact of complex measurement uncertainty on the volume of methane discharged through a ventilation shaft in the hard coal mining industry. The research covers the methodology for measuring air flow rate and methane concentration, determination of complex measure

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Explore the fundamentals of probability and uncertainty in the context of artificial intelligence, covering topics such as acting under uncertainty, probability models, belief states, uncertain beliefs, dental diagnosis, reasoning under uncertainty, and probability basics.

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Discover the challenges and strategies for effectively communicating uncertainty in scientific products within teams. Join the Uncertainty Working Group as they share their achievements, plans, and the burning question every CMS science team member wants to address. Explore the sources of uncertaint

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Explore the transaction cost approach in make-or-buy decisions, analyzing factors like supplier market competition, volume uncertainty, technological uncertainty, and comparative production costs. Understand the impact of uncertainty and asset specificity on decision-making processes, emphasizing th

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