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Genetics and Genomics of Soybean
The book covers recent progress on genome research in soybeans, including the genetic map with classical, RFLP, SSR and SNP markers; genomic and cDNA libraries, functional genomics platforms (e.g., cDNA, Affymetrix and oligonucleotide based DNA microarrays); physical maps, and the efforts to fully sequence the genome. Given the pending release of the soybean genome sequence, through the efforts of the Department of Energy’s Joint Genome Institute, this book will stand as a critical source of information on soybean.
Genetic testing in reproductive medicine
Illustrates the importance and significance of molecular genetic testing in reproductive disorders. The present book covers the genetic testing in various reproductive system anomalies, including disorders of sexual development, male infertility (Y deletions, autosomal mutations, sperm DNA fragmentation), female infertility (PCOS and POF), mitochondrial DNA testing for oocyte quality, recurrent pregnancy loss, pre-term birth, endometrial receptivity, prenatal genetic screening, reproductive carrier screening, preimplantation genetic screening, endometrial cancer, cervical cancer and other related reproductive health disorders. Microbiome testing and its contribution to genetic testing in reproductive medicine are also discussed. Covers ethical, moral and technical challenges in genetic testing in reproductive medicine. The book aims to set up a standard with regard to genetic testing in the reproductive medicine field, encourage further data generation, and provide food for thought in the areas of lacunae.
Genetic Systems Programming : Theory and Experiences
This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
Genetic rogramming ; Vol. 3447 : 8th European conference, EuroGP 2005, Lausanne, Switzerland, March 30-April 1, 2005, Proceedings
In this volume we present the contributions for the 18th European Conference on Genetic Programming (EuroGP 2005). The conference took place from 30 March to 1 April in Lausanne, Switzerland. EuroGP is a well-established conf- ence and the only one exclusively devoted to genetic programming. All previous proceedings were published by Springer in the LNCS series. From the outset, EuroGP has been co-located with the EvoWorkshops focusing on applications of evolutionary computation. Since 2004, EvoCOP, the conference on evolutionary combinatorial optimization, has also been co-located with EuroGP, making this year’s combined events one of the largest dedicated to evolutionary computation in Europe. Genetic programming (GP) is evolutionary computation that solves complex problems or tasks by evolving and adapting a population of computer programs, using Darwinian evolution and Mendelian genetics as its sources of inspiration. Some of the 34 papers included in these proceedings address foundational and theoretical issues and there is also a wide variety of papers dealing with di?erent application areas, such as computer science, engineering, language processing, biology and computational design, demonstrating that GP is a powerful and practical problem-solving paradigm.
Genetic Programming Theory and Practice V
Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.
Genetic Programming Theory and Practice IV
Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems.
Genetic Programming Theory and Practice III
Genetic Programming Theory and Practice III explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). This contributed volume was developed from the third workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to this rapidly advancing field. The text provides a cohesive view of the issues facing both practitioners and theoreticians and examines the synergy between GP theory and application.
Genetic programming IV : Routine human-competitive machine intelligence
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes: GP now delivers routine human-competitive machine intelligence GP is an automated invention machine GP can create general solutions to problems in the form of parameterized topologies GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law
Genetic Programming ; Vol. 3905 ; 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006. Proceedings
This book constitutes the refereed proceedings of the 9th European Conference on Genetic Programming, EuroGP 2006, held in Budapest, Hungary, in April 2006, colocated with EvoCOP 2006. The 21 revised plenary papers and 11 revised poster papers were carefully reviewed and selected from 59 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas, such as computer science, engineering, machine learning, Kolmogorov complexity, biology and computational design.
Genetic Programming ; 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008. Proceedings
The 11th European Conference on Genetic Programming, EuroGP 2008, took place in Naples, Italy from 26 to 28 March in the University of Naples Congress Centre with spectacular views over the Gulf of Naples. This volume contains the papers for the 21 oral presentations and 10 posters that were presented during this time. A diverse array of topics were covered refecting the current state of research in the ?eld of Genetic Programming, including the latest work on representations, theory, operators and analysis, evolvable hardware, agents and numerous applications. A rigorous, double-blind peer review process was employed, with each s- mission reviewed by at least three members of the international Program C- mittee.
Genetic Programming ; 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings
This book constitutes the refereed proceedings of the 10th European Conference on Genetic Programming, EuroGP 2007, held in Valencia, Spain in April 2007 colocated with EvoCOP 2007.
Genetic programming : Theory and practice II
This volume explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a second workshop at the University of Michigan's Center for the Study of Complex Systems where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses met to examine how GP theory informs practice and how GP practice impacts GP theory. Chapters include such topics as financial trading rules, industrial statistical model building, population sizing, the roles of structure in problem solving by computer, stock picking, automated design of industrial-strength analog circuits, topological synthesis of robust systems, algorithmic chemistry, supply chain reordering policies, post docking filtering, an evolved antenna for a NASA mission and incident detection on highways.
Genetic Engineering of Mesenchymal Stem Cells
MSC (mesenchymal stem cells) have been reported to initiate revascularization after injury, to facilitate engraftment of blood-forming stem cells, and to reduce the incidence of graft-vs. host disease through their immune-suppressive qualities. Finally, bone marrow-derived MSC have been reported to home to areas of solid tumor revascularization, and thus may be used as delivery vehicles to target ablative agents into dividing tumor cells. Recently the characteristics of human MSC from adipose (fat) tissue have also been identified. The possibility of repairing tissues, speeding stem cell engraftment, and targeting solid tumors for specific killing, using MSC easily harvested from bone marrow, or better yet, from unwanted fat tissue, holds broad appeal, and is an intriguing possibility that could have dramatic effect on health care. This book has information on how to isolate, grow, and characterize MSC from marrow and fat, and gives important insight into how these cells may be used for gene delivery and cellular therapies in the future. Updates on emerging clinical trials are given.
Genetic Democracy : Philosophical Perspectives
GENETIC DEMOCRACY involves an in-depth analysis of the ethical, social and philosophical issues related to modern genetic research and gene technology. The aim of the book is to introduce systematic research on the social and ethical impacts of the use and development of genetically modified organisms (GMOs) as well as the acquisition, use and storage of human genetic information (HGI). The book contributes into enhancing public discussion and reaching fair and democratic decision-making practices in GMO and HGI use and development both on local and global level.
Genetic control of neuronal migrations in human cortical development
Introduction Cortical development is a complex, tightly regulated process that eventually leads to the six-layered adult human neocortex, the substrate of the unique cognitive, emotional, and social abilities of our species. The basic mechanisms of early cortical development are believed to be very similar among mammals, which has led to a tendency of extrapolating experimental data from rodents on humans.
Genetic Basis for Respiratory Control Disorders
The objective of the book is to supply state-of-the-art contributions about all aspects of respiratory control genetics, from the molecular to the system level. The book aims to review the full spectrum of available knowledge, which starts with early physiological studies in health and disease in humans and studies in rodents that suggested a hereditary component to respiratory control. The spectrum extends to recent work elucidating crucial molecular aspects of respiratory control development, from early embryonic specifications in the neural tube to the function of respiratory rhythm generators.
Genetic algorithms: theory, design and programming
We present a series of scientific contributions that delve into the intricate theoretical foundations and practical nuances of genetic algorithms (GAs). Beyond the academic realm, GAs have demonstrated profound applications in societal decision-making and engineering optimization, showcased through real-world examples and case studies. A dedicated section on programming principles offers a thorough guide for implementing GAs across diverse languages. This edition, tailored for researchers and academics, serves as a testament to the scientific advancements within the field, inviting readers to explore the nuanced journey from theoretical constructs to pragmatic applications in the dynamic landscape of GAs.
Generator remote controlling using internet connection
The traditional technique of monitoring the electricity generated through regular checks on the alternator variables: oil, temperature, voltage and current on a daily basis. Therefore, maintaining a normal performance cycle requires hard work and is often imprecise. The idea is to create an application that monitors wireless generators using the popular smartphone Android operating system. Implemented sensors deliver analog signals that provide real-time data on the status of the generator. This data is converted and programmed through the Node MCU microcontroller, which reads the results from the sensors and then converts into a signal, which is transmitted to the android phone, through a router. Thus live feedback of the generator status is ensured. In addition, this project provides a control button that can actually turn this generator on and off. This project is the first step towards bringing systems and control together as it revolutionizes the ideology of monitoring and displaying real-time data that can be implemented in different fields according to different needs. These fields include electricity, mechanics, and communications.
Generative programming and component engineering ; 4th International conference, GPCE 2005, Tallinn, Estonia, September 29 - October 1, 2005, Proceedings
Generative Programming and Component Engineering (GPCE) is a leading - searchconferenceonautomaticprogrammingandcomponentengineering.These approaches to software engineering have the potential to revolutionize software development as automation and components revolutionized manufacturing. The conference brings together researchers and practitioners interested in adva- ing automation for software development. It is also a premier forum for cro- fertilization between the programming language and software engineering - search communities. GPCEaroseasajointconference, mergingthepriorconferenceonGenerative and Component-Based Software Engineering (GCSE) and the Workshop on - mantics, Applications, andImplementationofProgramGeneration(SAIG). The proceedingsofthepreviousGPCEconferenceswerepublishedintheLNCSseries of Springer as volumes2487,2830, and 3286.In 2005 GPCE wasco-locatedwith the International Conference on Functional Programming (ICFP) and the s- posium on Trends in Functional Programming (TFP), re?ecting the vigorous interaction between the functional programming and generative programming research communities. GPCE and ICFP are both sponsored by the Association for Computing Machinery. The quality and breadth of the papers submitted to GPCE 2005 was impr- sive. All 86 papers, including 5 papers for tool demonstrations, were rigorously reviewed by 17 highly quali?ed Program Committee members. The members of the Program Committee ?rst provided in-depth individual reviews of the s- mitted papers, and then debated the merits of the papers through an extended electronicProgramCommitteemeeting.After much(friendly) argument,25r- ular papers and 2 tool demonstration papers were selected for publication. The ProgramCommittee provided extensive technical feedback to the authors of the submittedpapers.Theconferenceprogramwascomplementedwiththreeinvited talks, three extended tutorials, and three all-day workshops.
Generative and transformational techniques in software engineering II : International Summer School, GTTSE 2007, Braga, Portugal, July 2-7, 2007. Revised Papers
This tutorial book presents an augmented selection of the material presented at the International Summer School on Generative and Transformational Techniques in Software Engineering, GTTSE 2007, held in Braga, Portugal, in July 2007.The 7 tutorial lectures presented together with 5 short tutorials and 4 contributions to the participants workshop were carefully selected during multiple rounds of reviewing and improvement. The tutorials given by renowned representatives of complementary approaches and problem domains combine foundations, methods, examples, and tool support.
