Sustainability and the Blue Economy Concepts
The intertwining concepts of sustainability and the blue economy, focusing on historical developments, environmental protection events, and the emergence of sustainability science. Discover the pillars supporting a sustainable blue economy and pathways for inclusive development.
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Challenges and Opportunities for Reforms of Non-Oil Revenues Administration in South Sudan
The presentation highlights the reliance on oil revenues in South Sudan and the need for reforms in non-oil revenue administration. It discusses sources of non-oil revenue, factors hindering revenue mobilization, and opportunities for reforms to diversify the economy. The objectives of non-oil reven
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Effectiveness of Video Observed Therapy in Tuberculosis Management
Tuberculosis (TB) remains a global health challenge with issues of treatment compliance, cost, and distance to healthcare facilities. A study comparing Video Observed Therapy (VOT) with traditional Directly Observed Treatment Short Course (DOTS) in TB management is conducted to improve compliance, r
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Circular Flow in a Four-Sector Economy Explained
The circular flow in a four-sector economy involves households, firms, government, and the foreign sector. Each sector plays a crucial role in money flows and payments, contributing to the continuous flow of income. The financial market also has a significant impact on the economy by accumulating sa
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Glossary of Key Terms
Explore essential terms in economics such as command economy, consumer, demand, economic system, free enterprise system, goods, innovation, market economy, marketplace, mixed economy, needs, producer, profit, resources, scarcity, services, supply, technology, trade-off, traditional economy, and want
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Understanding Inference Tests and Chi-Square Analysis
The content discusses the application of inference tests to determine if two variables are related, focusing on categorical and quantitative variables. It provides examples related to testing fairness of a die and comparing observed and expected distributions of Skittles colors. Additionally, it cov
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Leveraging Non-Oil Exports for Nigeria's Blue Economy Growth
Nigeria Export Promotion Council (NEPC) focuses on diversifying Nigeria's economy by promoting non-oil exports for sustainable growth. The Blue Economy concept involves sustainable use of ocean resources for economic development. Nigeria's abundant ocean resources such as maritime transportation, fi
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Comparing Logit and Probit Coefficients between Models
Richard Williams, with assistance from Cheng Wang, discusses the comparison of logit and probit coefficients in regression models. The essence of estimating models with continuous independent variables is explored, emphasizing the impact of adding explanatory variables on explained and residual vari
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Understanding Non-Aqueous Solvents: Types and Classification
Inorganic non-aqueous solvents play a crucial role in chemical research and industry. This article by Dr. Princy K.G. delves into the classification of solvents based on protonicity, polarity, and aqueous vs. non-aqueous nature. It explores the types of non-aqueous solvents, such as protonic and non
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Understanding Indian Economy: Course Outcomes and Resources
Explore the course outcomes of the Indian Economy, covering economic development, policies, population growth, planning, agriculture, Kerala's economy, and resources for further study. Access government data and publications on the Indian economy for comprehensive learning.
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Legal Implications of the Digital Economy in Malawi
Explore the legal implications of the digital economy in Malawi as discussed at the ICAM Annual Lakeshore Conference. Topics include the Electronic Transactions and Cyber Security Act, principles of implementation, Malawi CERT, data privacy, and the significance of the digital economy in transformin
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Overview of Modern Business Environment in Indian Economy
Modern business in the Indian economy is characterized by large size, oligopolistic nature, diversification, global presence, technology orientation, and changing government regulations. The Indian economy features a mixed economy with both private and public enterprises, low per capita income, uneq
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Insights into India's Thriving Gig Economy and Future Work Trends
India's gig economy, spearheaded by initiatives like IWWAGE, is reshaping the future of work, particularly for women. Key questions revolve around the gig economy's impact, legislative frameworks, and COVID-19 repercussions. Academia investigates the rise of gig work, focusing on platforms like Uber
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The Blue Economy and Marine Pollution: A Comprehensive Overview
The presentation outlines the thriving ocean economy, the concept of the Blue Economy, the World Bank's approach, risks faced by oceans, and the impact of marine pollution on Small Island Developing States and coastal regions. It emphasizes sustainable development of oceanic activities, collaboratio
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Understanding Non-Firm Quantities in Electricity Markets
Non-Firm Quantities in electricity markets involve units with non-firm access not being compensated for their non-firm capacity not getting accommodated on the system. The concept of Firm Access Quantity plays a key role in determining compensation levels for units, with differences in implementatio
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Understanding Non-Compete Agreements: Enforceability and Requirements
Non-compete agreements are commonly used in the United States to protect businesses from competition by former employees. To be enforceable, these agreements must meet certain requirements, including independent consideration, protection of legitimate business interests, and reasonableness in scope,
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2018 PNG Economic Survey: Analysis and Recommendations
The 2018 PNG Economic Survey conducted by a team of experts highlights the challenges faced by the non-resource economy in Papua New Guinea. The report emphasizes the need for policy actions to stimulate growth, address foreign exchange shortages, and boost employment. Data indicates a recession in
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Comparison of Trigger-based vs. Non-Trigger-based Sensing Measurement in IEEE 802.11
The document discusses the differences between Trigger-based (TB) and Non-Trigger-based (Non-TB) sensing measurement instances in IEEE 802.11 standards, focusing on who initiates the sensing measurement. TB sensing is initiated by the AP, while Non-TB sensing is initiated by a non-AP STA, enabling o
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Understanding Chi-Square Test of Significance in Animal Genetics and Breeding
Chi-square test of significance, designed by Karl Pearson in 1899, is widely used in animal genetics and breeding to analyze departures of observed frequencies from expected frequencies. This test helps in assessing goodness of fit, independency in contingency tables, homogeneity of variances, and d
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Streamflow-Based Analysis for Climate Change Impact Detection and Attribution
This study focuses on detecting and attributing climate change impacts using a multi-basin, multi-model approach. It utilizes the CAMELS dataset, including observed data from 671 gauges across the USA, to analyze streamflow changes and seasonality shifts. The methodology involves updating datasets,
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Insights into Social Economy and Social Dialogue Research Outcomes
Research outcomes from the Mesmer+ project at HIVA KU Leuven reveal misalignments in social dialogue inclusiveness, challenges faced by social economy entities, and the role of employers in the social economy. Recommendations include enhancing the role of social economy employers and promoting inclu
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Exploring the Green Economy and BRICS Cooperation
The discussion focuses on the importance of the green economy for BRICS nations, suggesting ways for collaboration, especially in addressing climate change and transitioning to a low-carbon economy. The BRICS countries play a crucial role in global stability and sustainable development. Features of
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Understanding Standardized Infection Ratio (SIR) in Healthcare-Associated Infections
The Standardized Infection Ratio (SIR) is a key measure used to monitor healthcare-associated infections (HAIs) at different levels. It compares observed HAIs with predicted values based on specific risk factors. An SIR > 1 indicates more infections than predicted, an SIR = 1 means observed equals p
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Understanding Least Squares Estimation in Global Warming Data Analysis
Exploring least squares estimation in the context of global warming data analysis, this content illustrates the process of fitting a curve to observed data points using a simple form of data analysis. It discusses noisy observed data, assumptions, errors, and the importance of model parameters in ma
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Understanding Chi-Square Test for Goodness of Fit
Chi-square test is a statistical method used to assess how well observed data match the predicted values from a hypothesis. It does not confirm the hypothesis but measures the extent of fit between data and the hypothesis. This test is crucial for determining the significance of differences between
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Understanding Chi-Square Tests in Statistics
Explore the concept of Chi-Square tests through an illustrative example of testing preferences among artists. Learn about Goodness-of-Fit tests, hypotheses, expected versus observed frequencies, new test statistics, and interpreting results through p-values. Discover how these tests compare observed
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The Impact of Pandemics on the Shadow Economy Performance
Pandemics have a significant impact on the shadow economy, influencing the legal economy in various ways. The shadow economy serves as a buffer for high unemployment rates and can contribute to budget revenues through legal spending. Studies suggest that a growing shadow economy may reflect dissatis
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Anomalous EEE Events During Multimessenger Observations
On Sept. 22, 2017, a high-energy neutrino event was observed by the IceCube Neutrino Observatory, potentially associated with a blazar. A search for anomalous EEE events during this period identified active telescopes and investigated coincident events. The significance of N-fold coincidences was di
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Evolution of Services Marketing in the Modern Economy
The shift towards a service economy has transformed marketing practices, leading to the emergence of Services Marketing as a distinct discipline. This evolution highlights the unique characteristics of services, such as intangibility and simultaneous production-consumption. The 1980s mark a pivotal
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Economic Development and Non-Communicable Diseases: Analyzing the Impact
This paper explores the economic dimensions of Non-Communicable Diseases (NCDs) such as alcohol, tobacco, junk food, and lack of exercise, which are largely preventable factors affecting economic development. Key concepts like unwholesome goods, demand and supply irrationality, and market power are
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Radon Concentrations in New-Built Swedish Dwellings: Findings from International Radon Symposium
Large decrease in radon concentrations observed in newly built Swedish dwellings, with data analyzed from 1950 to 2016. Dependencies between building year, foundation type, ventilation, and radon levels were evaluated. Results compared against the Swedish reference level of 200 Bq/m3. Measurements i
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Understanding the Impact of the Gig Economy on Marginalized Groups in Toronto
This report delves into the effects of the gig economy on racialized and immigrant populations in Toronto. It outlines research findings, stakeholder insights, and strategic recommendations to address the challenges faced by marginalized groups in the gig economy. The study aims to shed light on the
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The Learning Consortium for the Creative Economy Webinar Summary
The webinar on The Learning Consortium for the Creative Economy discussed key topics such as agenda details, presenters' backgrounds, poll results, and insights on the Creative Economy and its importance. Participants engaged in discussions on topics like the Recap on the Creative Economy, Scaling o
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Understanding the Non-Observed Economy in GDP Compilation
The non-observed economy, including informal and illegal activities, poses challenges in GDP compilation, affecting growth rates and international comparability. Comprehensive coverage and terminology are vital to address these issues. The size of the informal economy in the Pacific region and globa
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Coal Combustion Products & the Circular Economy - Addressing Resource Flow Challenges
This discussion delves into the intersection of coal combustion products and the circular economy, emphasizing the need for continuous re-evaluation of resource chains, ecosystem metabolisms, and industrial innovations to ensure sustainable environmental practices and economic growth. Exploring the
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Insights from 2022 Scientific Assessment of Ozone Depletion
The 2022 Scientific Assessment of Ozone Depletion, led by David Plummer, addresses key issues like Ozone Depleting Substances, HFCs, Global and Polar Stratospheric Ozone, Climate Impacts, Stratospheric Aerosol Injection, and more. Chapter details reveal decreasing trends in Ozone Depleting Substance
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Analysis of E/p Position Changes in Particle Reconstructed Energy Over Time
In the analysis of E/p position changes for electron, proton, and helium particles over time, a noticeable increase in the E/p peak position for electrons was observed, while the E/p peak positions for protons and helium remained relatively stable, especially for EnergyD. The changes observed after
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Advancing Social and Green Economy in Western Balkans
Creating an ecosystem for social and green economy in the Western Balkans is crucial for fostering peace, reducing disparities, and promoting sustainable business models. Initiatives like promoting innovation, job creation, and skills development among young entrepreneurs are key to driving growth a
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Understanding Latent Class Analysis: Estimation and Model Optimization
Latent Class Analysis (LCA) is a person-centered approach where individuals are assigned to different categories based on observed behaviors related to underlying categorical differences. The estimation problem in LCA involves estimating unobservable parameters using maximum likelihood approaches li
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Understanding Maximum Likelihood Estimation in Machine Learning
In the realm of machine learning, Maximum Likelihood Estimation (MLE) plays a crucial role in estimating parameters by maximizing the likelihood of observed data. This process involves optimizing log-likelihood functions for better numerical stability and efficiency. MLE aims to find parameters that
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