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How to DeFi: Beginner
"This book details the new economies created by a generation of bankless pioneers. It's the best introduction you could ask for." - Mariano Conti, Head of Smart Contracts at Maker Foundation "If I didn't know anything about DeFi and needed to learn from scratch, this book is where I'd start." - Felix Feng, CEO of TokenSets “This book makes it easy for beginners to get started with DeFi.” - Hugh Karp, CEO of Nexus Mutual How to DeFi: Beginner, Second Edition, is the 2021 updated version of How to DeFi (March 2020). DeFi is an ecosystem of decentralized applications that provide financial services built on top of distributed networks with no governing authority. By April 2021, DeFi applica...
Guidelines for the prevention, diagnosis, care and treatment for people with chronic hepatitis B infection
Hepatitis B (HBV) infection is a major public health problem and cause of chronic liver disease. The 2024 HBV guidelines provide updated evidence-informed recommendations on key priority topics. These include expanded and simplified treatment criteria for adults but now also for adolescents; expanded eligibility for antiviral prophylaxis for pregnant women to prevent mother-to-child transmission of HBV; improving HBV diagnostics through use of point-of-care HBV DNA viral load and reflex approaches to HBV DNA testing; who to test and how to test for HDV infection; and approaches to promote delivery of high-quality HBV services, including strategies to promote adherence to long-term antiviral therapy and retention in care. The 2024 guidelines include 11 updated chapters with new recommendations and also update existing chapters without new recommendations, such as those on treatment monitoring and surveillance for liver cancer.
Hepatitis B Virus
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Analysis of Chronic Diseases Progression Using Stochastic Modeling
This is a book that handles the non-alcoholic fatty liver disease from the bio-statistical point of view . The statistical method used is Continuous Time Markov Chains ( CTMCs) utilizing the MLE and quasi-Newton method to estimates the transition rate matrix , once obtained , the transition probability matrix can be estimated by exponentiation of this rate matrix. The transition probability matrix can also be obtained by solving forward Kolmogorov differential equations which yields more stable solution than the matrix exponentiation. The rate probability matrix can then be used to estimate the number of patients in each stage of the disease process as well as the life expectancy in each sta...
Climatological Data
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