الصفحة 1
الصفحة 1
Integrating Data Science and Earth Science : Challenges and Solutions
This book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.
Expanding Horizons in Bioethics
What are the resources and needs, the strengths and the vulnerabilities of patients, of society, or of nature? How do we evaluate the societal potential of scientific discovery? It is fairly well assured that we are influencing the terms of existence of many inhabitants of this planet, from flora to fauna to humans. Moreover, history has shown that while technologies can be used neutrally, they can be (and have been) used to the great benefit – or the great detriment – of human life and the fate of the world as a whole. How various types of knowledge and technological ability will be deployed is up to us, individually and collectively. How such information and ability should be deployed, and for what reasons, are questions at the core of bioethical inquiry. These are the "expanding horizons in bioethics" to which this volume refers. This volume is comprised of fourteen essays. It is a rare gathering of scholarly opinion, featuring well-known experts from a diversity of disciplines. The topics addressed are of immediate concern to the public. The essays ask questions about human nature, genetic technologies, reproductive rights, human subjects research, and environmental issues – all in provocative and challenging new ways. Yet the themes that emerge throughout the volume are of enduring interest to anyone concerned about the interactions of scientific development, ethics, and society. This volume is of interest to students and teachers of bioethics and related topics, as well as to professionals working in these disciplines.
Emerging Technologies in Surgery
Tremendous acceleration and changes in scientific discovery and progress are presently occurring. These important emerging technologies that will affect the practicing surgeon within the next 10 to 20 years are illustrated in detail in this volume. Its purpose is not to review clinical experience of the common surgical practice of the past decade, but to outline and illustrate the future trends. International experts in this field demonstrate emerging procedures and significant advances.
Discovery Science ; Vol. 4265 ; 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings
This LNAI volume, containing the proceedings of the 9th International C- ference onDiscoveryScience, is structured in three parts. The ?rstpart contains the papers/abstracts of the invited talks, the second part contains the accepted long papers, and the third part the accepted regular (short) papers. Out of 87 submitted papers, 23 were accepted for publication as long papers, and 18 as regular papers. All the submitted papers were reviewed by two or three ref- ees. In addition to the presentations of accepted papers, the DS 2006 conference program consisted of three invited talks, two tutorials, the collocated ALT 2006 conference and the Pascal Dialogues workshop.
Discovery science ; Vol. 3735 ; 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings
This book constitutes the refereed proceedings of the 8th International Conference on Discovery Science, DS 2005, held in Singapore in October 2005, co-located with the International Conference on Algorithmic Learning Theory (ALT 2005). The 21 revised long papers and the 6 revised regular papers presented together with 9 project reports and 5 invited papers were carefully reviewed and selected from 112 submissions. The papers cover all issues in the area of automating scientific discovery or working on tools for supporting the human process of discovery in science.
Computational Discovery of Scientific Knowledge : Introduction, Techniques, and Applications in Environmental and Life Sciences
Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace. For the scientist and engineer to benefit from these enhanced data collecting capabilities, it is becoming clear that semi-automated data analysis techniques must be applied to find the useful information in the data. Computational scientific discovery methods can be used to this end: they focus on applying computational methods to automate scientific activities, such as finding laws from observational data. In contrast to mining scientific data, which focuses on building highly predictive models, computational scientific discovery puts a strong emphasis on discovering knowledge represented in formalisms used by scientists and engineers, such as numeric equations and reaction pathways. This state-of-the-art survey provides an introduction to computational approaches to the discovery of scientific knowledge and gives an overview of recent advances in this area, including techniques and applications in environmental and life sciences.
Making Ammonia : Fritz Haber, Walther Nernst, and the Nature of Scientific Discovery
This book discusses the progress of science and the transfer of scientific knowledge to technological application. It also identifies the factors necessary to achieve this progress. Based on a case study of the physical chemist Fritz Haber's discovery of ammonia synthesis between 1903 and 1909, the book places Haber's work in historical and scientific (physicochemical) context. The scientific developments of the preceding century are framed in a way that emphasizes the confluence of knowledge needed for Haber's success. Against this background, Haber's work is presented in detail along with the indispensable contributions of his colleague, the physical chemist, Walter Nernst, and their assistants. The detailed accounts of scientific advancement remind us of the physical basis on which our scientific theories and ideas are built. Without this reminder we often forget how complex, and how beautiful achievements in science can be.
Cancer Informatics in the Post Genomic Era : Toward Information-Based Medicine
Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.Addressing important clinical questions in cancer research will benefit from expanding computational biology.
Apoptosis, cell signaling, and human diseases : Molecular mechanisms ; Vol.2
Volume 1 is divided into two sections: "Malignant Transformation and Metastasis" and "Molecular Basis of Disease Therapy." Volume 2 follows a similar structure and is divided into sections entitled "Kinases and Phosphate" and "Molecular Basis of Cell Death." All of the contributors are at the forefront of scientific discovery, and the reviews they present systemically examine the most exciting and innovative aspects of their particular areas of expertise. Researchers will find these volumes of major benefit as they search for novel and more effective treatments for human diseases.
Apoptosis, cell signaling, and human diseases : Molecular mechanisms ; Vol.1
Volume 1 is divided into two sections: “Malignant Transformation and Metastasis” and “Molecular Basis of Disease Therapy.” Volume 2 follows a similar structure and is divided into sections entitled “Kinases and Phosphate” and “Molecular Basis of Cell Death.” All of the contributors are at the forefront of scientific discovery, and the reviews they present systemically examine the most exciting and innovative aspects of their particular areas of expertise. Researchers will find these volumes of major benefit as they search for novel and more effective treatments for human diseases.
Ambient intelligence for scientific discovery : Foundations, theories, and systems
Many difficult scientific discovery tasks can only be solved in interactive ways, by combining intelligent computing techniques with intuitive and adaptive user interfaces. It is inevitable to use human intelligence in scientific discovery systems: human eyes can capture complex patterns and relationships, along with detecting the exceptional cases in a data set; the human brain can easily manipulate perceptions to make decisions. Ambient intelligence is about this kind of ubiquitous and autonomous human interaction with information. Scientific discovery is a process of creative perception and communication, dealing with questions like: how do we significantly reduce information while maintaining meaning, or how do we extract patterns from massive data and growing data resources. Originating from the SIGCHI Workshop on Ambient Intelligence for Scientific Discovery, this state-of-the-art survey is organized in three parts: new paradigms in scientific discovery, ambient cognition, and ambient intelligence systems. Many chapters share common features such as interaction, vision, language, and biomedicine.
Ageing : The Paradox of Life : Why We Age
For centuries people have been puzzled by the inevitability of human aging. For most of the second half of the twentieth century aging remained a mystery, or an unsolved biological problem. At the end of the 20th century a remarkable scientific discovery emerged. It was not a single discovery in the usual sense, because it was based on a series of important interconnected insights over quite a long period of time. These insights made it possible for the very first time to understand the biological reasons for aging in animals and man. It can already be said, however, that the many observations and insights that explain aging will not be accepted as established knowledge for a long time.
Advances in Knowledge Discovery and Data Mining ; 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007 : Proceedings
This book covers new ideas, original research results and practical development experiences from all KDD-related areas including data mining, machine learning, data warehousing, data visualization, automatic scientific discovery, knowledge acquisition and knowledge-based systems.
