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Predictions for 2011-2019 In this book you will read exactly what the ancient prophecies are predicting for the dates March 12, 2016, March 12, 2017 and March 12, 2018, plus or minus 30 days. Or in July-August of 2011-2019 the predictions could come true noted in this book or my other books. Certain dates of December 4-16, 20-25, January 1-4, 14-24, February 14, 26-29, March-April 12,1, 6, 9-10, 14- 15, 19- 20, 21, 24-25, May 9-10, 19-20, June 9-12, 20-25, 29, 9th of Av, August 2, 10-11, 28-29, September 7-8, 19, 26-27, October 15, 22, 31, November 1-2, 11, 28, Thanksgiving, Hanukah, Purim, Passover, Pentecost, Rosh Hashanah, Yom Kippur, Feast of Tabernacles of 2011-2019 might be exact dates when Israel and the U.S. attacks Iran and Iran attacks back or Iran attacks them. They are all documented by using codes found in my book Predictions for 2013-2014 in chapter seven called The Codes. Will storms, earthquakes, wars, volcano eruptions and tidal waves play apart for the years 2011-2019? Will the years 2014-2016 see Florida again be hit by four storms or one great one like in 1992 and 2004? Are there predictions of great storms, earthquakes, attacks, wars and volcano eruptions, comet or asteroid impacts and tidal waves and commotion's to happen on March 12-April 12, 2016-2018, plus or minus three days or the other dates above in 2011-2019? This book was written by February 14, 2012.
This book provides an update on the latest development in the field of microRNAs in cancer research with an emphasis on translational research. Since the early 2000s, microRNAs have been recognized as important and ubiquitous regulators of gene expression. Soon it became evident that their deregulation can cause human diseases including cancer. This book focuses on the emerging opportunities for the application of microRNA research in clinical practice. In this context, computer models are presented that can help to identify novel biomarkers, e.g. in circulating microRNAs, and tools that can help to design microRNA-based therapeutic interventions. Other chapters evaluate the role of microRNAs in immunotherapy, immune responses and drug resistance. Covering key topics on microRNAs in cancer research this book is a valuable resource for both emerging and established microRNA researchers who want to explore the potential of microRNAs as therapeutic targets or co-adjuvants in cancer therapies.
This book intends to decipher the knowledge in the advancement of understanding, detecting, predicting, and monitoring landslides. The number of massive landslides and the damages they cause has increased across the globe in recent times. It is one of the most devastating natural hazards that cause widespread damage to habitat on a local, regional, and global scale. International experts provide their experience in landslide research and practice to help stakeholders mitigate and predict potential landslides. The book comprises chapters on: Dynamics, mechanisms, and processes of landslides; Geological, geotechnical, hydrological, and geophysical modelling for landslides; Mapping and assessment of hazard, vulnerability, and risk associated with landslides; Monitoring and early warning of landslides; Application of remote sensing and GIS techniques in monitoring and assessment of landslides. The book will be of interest to researchers, practitioners, and decision-makers in adapting suitable modern techniques for landslide study.
The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modeling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue will not only advance water sciences but also help policymakers to achieve more sustainable and effective water resource management.
This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in recent times. Divided into two parts, the book gives a general and country-wise analysis of Covid-19. Analytical and numerical techniques for virus models are presented along with the application of mathematical modelling in the analysis of their spreading rates and treatments. The book also includes applications of fractional differential equations as well as ordinary, partial and integrodifferential equations with optimization methods. Probability distribution and their bio-mathematical applications have also been studied. This book is a valuable resource for researchers, scholars, biomathematicians and medical experts.