Pandemic uncertainty - PowerPoint PPT Presentation


Fostering SE Asia Business Events Post-Pandemic Era

The strategies implemented for risk management during the pandemic in Southeast Asia's business events industry. Discover the challenges faced, including land and income taxes, restrictions on crowds, and the importance of cleanliness, health, safety, and environmental sustainability. Learn about th

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Reimagining Cross-Border Higher Education Post-Pandemic: Insights on Student Mobility in Asia

Explore the impact of physical mobility in joint/dual degree programs during the pandemic from an Asian perspective. Discuss the growth of cross-border higher education, modes of delivery during the pandemic, and the relevance of quality assurance and qualification recognition.

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Transformational Leadership for Improving Teacher Performance during Covid-19 Pandemic

This study analyzes the positive impact of transformational leadership on teacher performance amidst the Covid-19 pandemic. Quantitative methods were used on 50 teachers in Bandung, revealing a significant correlation. Transformational leadership was found to enhance teacher performance, emphasizing

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Supporting Students Through a Pandemic: Implications for School Counselors

Psychological impacts of the COVID-19 pandemic on students, the role of school counselors, challenges faced post-pandemic, interventions provided by counselors, and necessary support for students and counseling programs to address mental health, academic, and social issues.

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Heisenberg's Uncertainty Principle in Elementary Quantum Mechanics

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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Understanding Bayesian Reasoning and Decision Making with Uncertainty

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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COVID-19 Pandemic Tabletop Exercise Overview

The Division of Healthcare Management and Occupational Safety and Health (DHMOSH) Public Health Unit has designed a Tabletop Exercise to assess preparedness in responding to the COVID-19 Pandemic. The exercise aims to enhance awareness, evaluate critical functions for business continuity, discuss ke

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Understanding Suicide Risk and Prevention During the COVID-19 Pandemic

The COVID-19 pandemic has raised concerns about potential increases in suicide rates due to its economic impacts and social disruptions. While there is a focus on suicide prevention efforts, the exact effect of the pandemic on suicide rates remains unclear. Initiatives such as Suicide Prevention Act

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Understanding Pandemic Influenza: Causes, Impacts, and Preparedness

Influenza pandemics have historically caused significant casualties, with the most notable being the 1918 H1N1 pandemic flu that resulted in approximately 50 million deaths. Understanding how diseases like the flu can cause a pandemic is crucial, including the groups most vulnerable and the necessar

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Coping with Challenges During the Pandemic: Insights and Reflections

Shedding light on the impacts of the pandemic, this content delves into themes of hope, resilience, and personal growth. It discusses the importance of preparation, choice in life, and managing stress effectively. Reflecting on the profound effects of the pandemic on individuals and society, it emph

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Understanding Pandemic Economics Through Game Theory

Exploring the application of game theory in pandemic economics, this chapter delves into the strategic interactions among individuals, policymakers, and the spread of disease. It discusses the impact of cooperation, defection, and policy interventions on social outcomes during a pandemic, shedding l

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Enhancing Pandemic Recovery Efforts in Education Agencies

This document provides insights into improving pandemic recovery efforts in education agencies through research grant programs offered by the Institute of Education Sciences (IES). It covers the objectives, application process, and overall mission of IES to enhance education outcomes and practices p

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Kosovo Treasury Response to COVID-19 Pandemic Situation

Kosovo Treasury has efficiently managed its operations during the COVID-19 pandemic, ensuring continuity in financial functions and creating a dedicated bank account for funds related to fighting the pandemic. Despite reduced office staff, the Treasury has remained fully operational, handling revenu

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Trends in Cycling: Historical Evolution and Impact of Pandemic

Cycling has witnessed significant growth over the past two decades, with a doubling in cycling levels from 2000 to 2015. This growth was partly fueled by a shift towards sustainable travel. However, recent data suggests a plateau in cycling levels. The pandemic led to a surge in weekend cycling acti

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UK Economic Activity Update: Impact of COVID-19

UK's economic activity and output have seen significant impacts due to the COVID-19 pandemic. While GDP has shown signs of recovery, it remains below pre-pandemic levels. Weekly hours worked have increased but are still below pre-pandemic levels, and the number of payrolled employees is gradually ri

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Understanding Measurement Uncertainty in Testing: Essentials and Guidelines

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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Managing Tension Between Creativity and Efficiency: A Framework for Uncertainty in Innovation

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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Risk Communication and Community Engagement in Ethiopia during COVID-19 Pandemic

The Ethiopian Public Health Institute implemented a Risk Communication and Community Engagement strategy during the COVID-19 pandemic to provide real-time information and guidance to the public. The presentation outlines the background, challenges faced, and key principles such as trust, transparenc

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Development of Cumulative Fission Yield Covariances for Uncertainty Quantification

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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Global Engagement Trends Amidst the Pandemic

Amid the pandemic, Asia, Europe, Africa, and South America experienced fluctuations in engagement levels. However, both Asia and Europe have managed to recover to pre-pandemic levels. South America's engagement remained relatively stable, while Africa saw a dip during the pandemic but has since show

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Uncertainty in Cryptocurrency Returns: An Analysis Using Copula Approach

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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Exploring Patterns and Probabilities of Heavy Rainfall in Forecasting

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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Understanding Uncertainties in Direct Radiative Forcing of Aerosols

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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Update on O2 CO2 Calibration Uncertainty Review

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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Uncertainty and Precommitment in Social Dilemmas

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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Transaction Cost Approach to Make-or-Buy Decisions

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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Exploring Economic Uncertainty: A Global Perspective

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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Understanding Probability and Planning Under Uncertainty

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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Understanding Uncertainty with Estimation and Standard Error

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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Uncertainty in Bayesian Reasoning and Decision Making

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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Effective Mind Management Skills Workshop for Overcoming Uncertainty

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 Rise of Dollar Stores During the Pandemic: A Retail Success Story

Amid a depressed economy and the challenges of a pandemic, dollar stores like Dollar General and Dollar Tree experienced significant growth in sales and store openings. These stores catered to budget-conscious consumers seeking value and convenience. Despite the decrease in store traffic during the

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Strategies Used by General Practitioners to Manage Uncertainty in Practice

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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Scientific Framework for Epidemic and Pandemic Preparedness – Meeting Objectives

This content outlines a series of meetings aimed at discussing a scientific framework for epidemic and pandemic preparedness. The meetings focus on topics such as improving pandemic preparedness, clinical research for priority pathogens, and addressing uncertainty during epidemics. The objectives in

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Understanding Sampling Uncertainty: A Comprehensive Overview

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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Understanding Uncertainty Quantification: A Comprehensive Overview

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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Managing Uncertainty in Demand Planning: Tools and Techniques

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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Understanding Risk and Uncertainty in Insurance Markets

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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Understanding Confidence, Uncertainty, Risk, and Decision-Making in Engineering Design

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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Analyzing Uncertainty's Impact on Investment Decisions in Real Options Framework

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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