Origins and Grand Finale presents an in-depth study of how modern science and astronomy compare to the biblical narrative of the origin of the universe as well as the origin of life. Distinguishing between scientific facts and fairy-tales, as well as biblical facts and poetry, author Gary Haitel attempts to build a perfect harmony between science and theology. In Origins and Grand Finale, Haitel is not proposing new scientific theories. Instead, he merely examines current scientific theories, however bizarre they may seem, and explains how they relate to the biblical narrative. The second part of this guide focuses primarily on biblical end times and the abuse of political authority. In the third part, Haitel reflects upon not only the finale of humanity as described in the Bible, but also the finale of an individual's physical life here on earth and what to expect after the body returns to the dust of the earth. Are we just complex biological accidents, or are we immortal spiritual eternal beings? Written in a straightforward, down-to-earth fashion, Origins and Grand Finale offers a unique opportunity to understand the perfect harmony between science and theology.

Advances in Nonlinear Geosciences is a set of contributions from the participants of "30 Years of Nonlinear Dynamics" held July 3-8, 2016 in Rhodes, Greece as part of the Aegean Conferences, as well as from several other experts in the field who could not attend the meeting. The volume brings together up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences and presents the new advances made in the last 10 years. Topics include chaos synchronization, topological data analysis, new insights on fractals, multifractals and stochasticity, climate dynamics, extreme events, complexity, and causality, among other topics.

This book explores the dynamics of planetary and stellar fluid layers, including atmospheres, oceans, iron cores, and convective and radiative zones in stars, describing the different theoretical, computational and experimental methods used to study these problems in fluid mechanics, including the advantages and limitations of each method for different problems. This scientific domain is by nature interdisciplinary and multi-method, but while much effort has been devoted to solving open questions within the various fields of mechanics, applied mathematics, physics, earth sciences and astrophysics, and while much progress has been made within each domain using theoretical, numerical and experimental approaches, cross-fertilizations have remained marginal. Going beyond the state of the art, the book provides readers with a global introduction and an up-to-date overview of relevant studies, fully addressing the wide range of disciplines and methods involved. The content builds on the CISM course "Fluid mechanics of planets and stars", held in April 2018, which was part of the research project FLUDYCO, supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program.

This book introduces readers to seismic inversion methods and their application to both synthetic and real seismic data sets. Seismic inversion methods are routinely used to estimate attributes like P-impedance, S-impedance, density, the ratio of P-wave and S-wave velocities and elastic impedances from seismic and well log data. These attributes help to understand lithology and fluid contents in the subsurface. There are several seismic inversion methods available, but their application and results differ considerably, which can lead to confusion. This book explains all popular inversion methods, discusses their mathematical backgrounds, and demonstrates their capacity to extract information from seismic reflection data. The types covered include model-based inversion, colored inversion, sparse spike inversion, band-limited inversion, simultaneous inversion, elastic impedance inversion and geostatistical inversion, which includes single-attribute analysis, multi-attribute analysis, probabilistic neural networks and multi-layer feed-forward neural networks. In addition, the book describes local and global optimization methods and their application to seismic reflection data. Given its multidisciplinary, integrated and practical approach, the book offers a valuable tool for students and young professionals, especially those affiliated with oil companies.

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and spatial ensemble learning. Several potential future research directions are also discussed. This book targets an interdisciplinary audience including computer scientists, practitioners and researchers working in the field of data mining, big data, as well as domain scientists working in earth science (e.g., hydrology, disaster), public safety and public health. Advanced level students in computer science will also find this book useful as a reference.

This book is the result of collaboration within the framework of the Third International Scientific School for Young Scientists held at the Ishlinskii Institute for Problems in Mechanics of Russian Academy of Sciences, 2017, November. The papers included describe studies on the dynamics of natural system - geosphere, hydrosphere, atmosphere-and their interactions, the human contribution to naturally occurring processes, laboratory modeling of earth and environment processes, and testing of new developed physical and mathematical models. The book particularly focuses on modeling in the field of oil and gas production as well as new alternative energy sources.

The research and review papers presented in this volume provide an overview of the main issues, findings, and open questions in cutting-edge research on the fields of modeling, optimization and dynamics and their applications to biology, economics, energy, finance, industry, physics and psychology. Given the scientific relevance of the innovative applications and emerging issues they address, the contributions to this volume, written by some of the world's leading experts in mathematics, economics and other applied sciences, will be seminal to future research developments and will spark future works and collaborations. The majority of the papers presented in this volume were written by participants of the 4th International Conference on Dynamics, Games and Science: Decision Models in a Complex Economy (DGS IV), held at the National Distance Education University (UNED) in Madrid, Spain in June 2016 and of the 8th Berkeley Bioeconomy Conference: The Future of Biofuels, held at the UC Berkeley Alumni House in April 2015.

The Web is notoriously unreliable, yet it is the first place many students look for information. How can students, teachers, parents, and librarians be certain that the information a Web site provides is accurate and age appropriate? In this unique book, experienced science educator Judith A. Bazler reviews hundreds of the most reliable earth science-related Web sites. Each review discusses the most appropriate grade level of the site, analyzes its accuracy and usefulness, and provides helpful hints for getting the most out of the resource. Sites are organized by topic, from "Air Movements" to "Wetlands," making it easy to locate the most useful sites. A handy summary presents the best places on the Web to find information on science museums, science centers, careers in the earth sciences, and supplies.

This book documents analyses of the Late Cretaceous dinosaur nesting sites of the Lameta Formation at Jabalpur, Districts Dhar and Jhabua, Madhya Pradesh; Districts Kheda and Panchmahal (Gujarat); and the Pisdura, Dongargaon and Pavna sectors in the Chandrapur Districts of Maharashtra, which are exposed in India along an east-west and central axis. In this work, special emphasis has been given to the dinosaur nesting sites of the east-central Narbada River region, including its regional geology. The work was undertaken to provide detailed information concerning dinosaur eggs, eggshell fragments, nests and clutches found in the Lameta Formation of peninsular India. Prior to the present work there had been no detailed review of systematic work on the taxonomy, and of micro- and ultrastructural studies of dinosaur eggs and eggshells from the Lameta Formation. The study documents the field and laboratory investigations that facilitated the reconstruction of the morphotaxonomy, models for the burial pattern of eggs and eggshells, taphonomic implications,and the palaeoenvironmental context and palaeoecological conditions during the Late Cretaceous at the time of the extrusion of the Deccan traps, which may have been partly responsible for the extinction of the dinosaurs. The need to follow a parataxonomic classification for Indian dinosaur eggs and eggshell types is very apparent, and this book addresses this aspect in some detail. The emphasis on the application of parataxonomic schemes is based on the description of new oospecies and their comparison with previously known forms. The present work has led to the recovery of numerous nests, many collapsed eggs and hundreds of dinosaur eggshell fragments from the localities situated near the east, west and central Narbada River regions. It will be of interest to academics and professional palaeontologists, and all students of dinosaurs.

Modern life is increasingly relying on digital technology, which in turn runs on mathematics. However, this underlying math is hidden from us. That is mostly a good thing since we do not want to be solving equations and calculating fractions just to get things done in our everyday business. But the mathematical details do matter for anyone who wants to understand how stuff works, or wishes to create something new in the jungle of apps and algorithms. This book takes a look at the mathematical models behind weather forecasting, climate change prediction, artificial intelligence, medical imaging and computer graphics. The reader is expected to have only a curious mind; technical math skills are not needed for enjoying this text.

This book provides a comprehensive introduction to the kinetic theory for describing flow problems from molecular scale, hydrodynamic scale, to Darcy scale. The author presents various numerical algorithms to solve the same Boltzmann-like equation for different applications of different scales, in which the dominant transport mechanisms may differ. This book presents a concise introduction to the Boltzmann equation of the kinetic theory, based on which different simulation methods that were independently developed for solving problems of different fields can be naturally related to each other. Then, the advantages and disadvantages of different methods will be discussed with reference to each other. It mainly covers four advanced simulation methods based on the Boltzmann equation (i.e., direct simulation Monte Carlo method, direct simulation BGK method, discrete velocity method, and lattice Boltzmann method) and their applications with detailed results. In particular, many simulations are included to demonstrate the applications for both conventional and unconventional reservoirs. With the development of high-resolution CT and high-performance computing facilities, the study of digital rock physics is becoming increasingly important for understanding the mechanisms of enhanced oil and gas recovery. The advanced methods presented here have broad applications in petroleum engineering as well as mechanical engineering , making them of interest to researchers, professionals, and graduate students alike. At the same time, instructors can use the codes at the end of the book to help their students implement the advanced technology in solving real industrial problems.

This book presents contributions from the joint event 8th INGEO International Conference on Engineering Surveying and 4th SIG Symposium on Engineering Geodesy, which was planned to be held in Dubrovnik, Croatia, on April 1-4, 2020 and was canceled due to COVID-19 pandemic situation. Editors, in cooperation with the Local Organisers, are decided to organize the Conference on-line at October 22-23, 2020. We would like to invite you to participation through http://ingeo-sig2020.hgd1952.hr/index.php/2020/08/31/ingeosig2020-virtual-conference-october-22-23-2020/. The event brought together professionals in the fields of civil engineering and engineering surveying to discuss new technologies, their applicability, and operability.