Influences of Environmental Settings on Aquatic Ecosystems in the Apalachicola-Chattahoochee-Flint River Basin

Influences of Environmental Settings on Aquatic Ecosystems in the Apalachicola-Chattahoochee-Flint River Basin PDF Author: Carol Anne Couch
Publisher:
ISBN:
Category : Aquatic ecology
Languages : en
Pages : 68

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Influences of Environmental Settings on Aquatic Ecosystems in the Apalachicola-Chattahoochee-Flint River Basin

Influences of Environmental Settings on Aquatic Ecosystems in the Apalachicola-Chattahoochee-Flint River Basin PDF Author: Carol Anne Couch
Publisher:
ISBN:
Category : Aquatic ecology
Languages : en
Pages : 68

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Book Description


Big Data in Omics and Imaging

Big Data in Omics and Imaging PDF Author: Momiao Xiong
Publisher: CRC Press
ISBN: 135117262X
Category : Mathematics
Languages : en
Pages : 580

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Book Description
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), genome-wide expression studies (GWES), and epigenome-wide association studies (EWAS), the overall contribution of the new identified genetic variants is small and a large fraction of genetic variants is still hidden. Understanding the etiology and causal chain of mechanism underlying complex diseases remains elusive. It is time to bring big data, machine learning and causal revolution to developing a new generation of genetic analysis for shifting the current paradigm of genetic analysis from shallow association analysis to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism of complex diseases. FEATURES Provides a natural extension and companion volume to Big Data in Omic and Imaging: Association Analysis, but can be read independently. Introduce causal inference theory to genomic, epigenomic and imaging data analysis Develop novel statistics for genome-wide causation studies and epigenome-wide causation studies. Bridge the gap between the traditional association analysis and modern causation analysis Use combinatorial optimization methods and various causal models as a general framework for inferring multilevel omic and image causal networks Present statistical methods and computational algorithms for searching causal paths from genetic variant to disease Develop causal machine learning methods integrating causal inference and machine learning Develop statistics for testing significant difference in directed edge, path, and graphs, and for assessing causal relationships between two networks The book is designed for graduate students and researchers in genomics, epigenomics, medical image, bioinformatics, and data science. Topics covered are: mathematical formulation of causal inference, information geometry for causal inference, topology group and Haar measure, additive noise models, distance correlation, multivariate causal inference and causal networks, dynamic causal networks, multivariate and functional structural equation models, mixed structural equation models, causal inference with confounders, integer programming, deep learning and differential equations for wearable computing, genetic analysis of function-valued traits, RNA-seq data analysis, causal networks for genetic methylation analysis, gene expression and methylation deconvolution, cell –specific causal networks, deep learning for image segmentation and image analysis, imaging and genomic data analysis, integrated multilevel causal genomic, epigenomic and imaging data analysis.

Recent Advances in Linear Models and Related Areas

Recent Advances in Linear Models and Related Areas PDF Author: Shalabh
Publisher: Springer Science & Business Media
ISBN: 3790820644
Category : Mathematics
Languages : en
Pages : 448

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Book Description
This collection contains invited papers by distinguished statisticians to honour and acknowledge the contributions of Professor Dr. Dr. Helge Toutenburg to Statistics on the occasion of his sixty-?fth birthday. These papers present the most recent developments in the area of the linear model and its related topics. Helge Toutenburg is an established statistician and currently a Professor in the Department of Statistics at the University of Munich (Germany) and Guest Professor at the University of Basel (Switzerland). He studied Mathematics in his early years at Berlin and specialized in Statistics. Later he completed his dissertation (Dr. rer. nat. ) in 1969 on optimal prediction procedures at the University of Berlin and completed the post-doctoral thesis in 1989 at the University of Dortmund on the topic of mean squared error superiority. He taught at the Universities of Berlin, Dortmund and Regensburg before joining the University of Munich in 1991. He has various areas of interest in which he has authored and co-authored over 130 research articles and 17 books. He has made pioneering contributions in several areas of statistics, including linear inference, linear models, regression analysis, quality engineering, Taguchi methods, analysis of variance, design of experiments, and statistics in medicine and dentistry.

Learning Classifier Systems

Learning Classifier Systems PDF Author: Jaume Bacardit
Publisher: Springer
ISBN: 3540881387
Category : Computers
Languages : en
Pages : 316

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Book Description
This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.

Whole-Body Affordances for Humanoid Robots: A Computational Approach

Whole-Body Affordances for Humanoid Robots: A Computational Approach PDF Author: Kaiser, Peter
Publisher: KIT Scientific Publishing
ISBN: 3731507986
Category : Androids
Languages : en
Pages : 266

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Book Description
The goal of this work is the development of a novel computational formalization of whole-body affordances which is suitable for the multimodal detection and validation of interaction possibilities in unknown environments. The hierarchical framework allows the consistent fusion of affordance-related evidence and can be utilized for realizing shared autonomous control of humanoid robots. The affordance formalization is evaluated in several experiments in simulation and on real humanoid robots.

Augustine’s Cyprian

Augustine’s Cyprian PDF Author: Matthew Alan Gaumer
Publisher: BRILL
ISBN: 9004312641
Category : Religion
Languages : en
Pages : 403

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Book Description
In Augustine’s Cyprian Matthew Gaumer retraces how Augustine of Hippo devised the ultimate strategy to suppress Donatist Christianity, an indigenous form of the religion in ancient North Africa. Spanning nearly forty years, Augustine’s entire clerical career was spent combating the Donatists and seeking the dominance of the Catholic Church in North Africa. Through a variety of approaches Augustine evolved a method to successfully outlaw and deconstruct the Donatist Church’s organisation. This hinged on concerted preaching, tract writing, integrating Roman imperial authorities, and critically: by denying the Donatists’ exclusive claim to Cyprian of Carthage. Re-appropriation of Cyprian’s authority required Augustine and his allies to re-write history and pose positions contrary to Cyprian’s. In the end, Cyprian was the Donatists’ no longer.

Advances in Computer Science for Engineering and Education VI

Advances in Computer Science for Engineering and Education VI PDF Author: Zhengbing Hu
Publisher: Springer Nature
ISBN: 3031361180
Category : Computers
Languages : en
Pages : 1166

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Book Description
This book contains high-quality refereed research papers presented at the 6th International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2023), which took place in Warsaw, Poland, on March 17–19, 2023, and was organized by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute”, the National Aviation University, Lviv Polytechnic National University, the Polish Operational and Systems Society, Warsaw University of Technology, and the International Research Association of Modern Education and Computer Science. The book covers a variety of topics, including cutting-edge research in computer science, artificial intelligence, engineering techniques, smart logistics, and knowledge representation with educational applications. The book is an invaluable resource for academics, graduate students, engineers, management professionals, and undergraduate students who are interested in computer science and its applications in engineering and education.

Call of the Cosmic Wild. Relativistic Rockets for the New Millennium.

Call of the Cosmic Wild. Relativistic Rockets for the New Millennium. PDF Author: James Essig
Publisher: Xlibris Corporation
ISBN: 1514454378
Category : Science
Languages : en
Pages : 5054

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Book Description
This book includes numerous calculations for the many specific examples included within. I have included the many calculated examples to provide the reader with immediate justifications for the numerous concepts described. This was not done to belittle or talk down to the reader but rather to give the reader a clear sense of the plausibility for the propulsion methods and performance capabilities thereof. Interstellar travel at the many specific highly relativistic velocities contemplated in this bookand, in some cases, extreme vehicle massesis still a very controversial subject but nonetheless a highly mathematicalized and intelligible subject. My hope and intention is to thus clearly inspire and show the reader the plausibility of the concepts by providing the reader with proper evidence through his or her simple inspection of the formulas and values included in the computations. Some speculative physics is included, which is based on commonly presented theoretical constructs.

Kingdom Hearts HD 2.5 ReMix - Strategy Guide

Kingdom Hearts HD 2.5 ReMix - Strategy Guide PDF Author: GamerGuides.com
Publisher: Gamer Guides
ISBN: 1630413844
Category : Games & Activities
Languages : en
Pages : 368

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Book Description
Kingdom Hearts II begins where Kingdom Hearts: Chain of Memories and Kingdom Hearts 358/2 Days leave off. Sora and his companions have been asleep for about a year, regaining their memories. When Sora awakens, he eventually arrives in Twilight Town, the place where a mysterious boy, Roxas, lived before he suddenly left. Gaining new clothes and powers, Sora began his journey anew, unaware of the events that have taken place in Chain of Memories. Sora continues his quest by unlocking paths to new worlds, learning of Nobodies and fighting the Heartless, as well as facing the remaining members of the mysterious Organization XIII. As the game progresses, Sora learns about Roxas and how much they have in common. Birth By Sleep is the origins of the series' hero and villain, Sora and Xehanort, and delves deep into the mysteries of Xehanort's bleak past and forgotten memories as well as how Sora and Riku came to wield the Keyblade in the first place. It deals with three Keyblade Wielders: Terra, Aqua and Ventus and each character has their own scenario. Kingdom Hearts II and Birth by Sleep will take you to many places and we have them all covered here. Inside you will find: - Complete walkthrough coverage for both Kingdom Hearts 2 and Birth By Sleep. - Side quests covered in detail from Absent Silhouettes to Atlantica. - Gummi ship missions and details. - Mirage Arena covered extensively. - Mini-games discussed and much, much more.

Optimal Analysis of Qualitative Data with Illustrations

Optimal Analysis of Qualitative Data with Illustrations PDF Author: Shizuhiko Nishisato
Publisher: Cambridge Scholars Publishing
ISBN: 1036412989
Category : Mathematics
Languages : en
Pages : 275

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Book Description
This is an introductory book on how to optimally analyze non-quantitative data, based on the author’s experiences over 60 years of research. The major message to the readers is that qualitative (non-quantitative) data are much more informative than quantitative data. This is good news for readers in applied areas of statistics such as those in the social sciences and marketing research, where qualitative data are everywhere. But how can one analyze qualitative data quantitatively and extract more information than from the sophisticated analysis of quantitative data? The key rests in illustrations of difficult topics in a way that anyone can understand. It is the author’s wish soon the use of AI will open a gate for simple means for optimal analysis of qualitative data, as illustrated throughout the book.