Confidence In Biology
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| Author | : Ian Robertson |
| Publisher | : Random House |
| Total Pages | : 320 |
| Release | : 2021-06-03 |
| Genre | : Social Science |
| ISBN | : 1473579759 |
'Brilliant ... it will change how you think about confidence.' Johann Hari 'Important for everyone but crucial for women.' Mary Robinson 'Interesting and important.' Steven Pinker __________ Why do boys instinctively bullshit more than girls? How do economic recessions shape a generation's confidence? Can we have too much confidence and, if so, what are the consequences? Imagine we could discover something that could make us richer, healthier, longer-living, smarter, kinder, happier, more motivated and more innovative. Ridiculous, you might say... What is this elixir? Confidence. If you have it, it can empower you to reach heights you never thought possible. But if you don't, it can have a devastating effect on your future. Confidence lies at the core of what makes things happen. Exploring the science and neuroscience behind confidence that has emerged over the last decade, clinical psychologist and neuroscientist Professor Ian Robertson tells us how confidence plays out in our minds, our brains and indeed our bodies. He explains where it comes from and how it spreads - with extraordinary economic and political consequences. And why it's not necessarily something you are born with, but something that can be learned.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 257 |
| Release | : 2019-10-20 |
| Genre | : Science |
| ISBN | : 0309486165 |
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
| Author | : M. Hanson |
| Publisher | : |
| Total Pages | : |
| Release | : 2006-02-10 |
| Genre | : |
| ISBN | : 9780170180306 |
| Author | : Martin Hanson |
| Publisher | : |
| Total Pages | : |
| Release | : 2008 |
| Genre | : Biology |
| ISBN | : 9780170180160 |
The workbook consists of 37 units, each relating to the units in the textbook. Each unit in the workbook contains definitions of key terms, a summary of key ideas and sets of learning and assessment questions. As with the textbook, the workbook is highly illustrated with scientific drawings by the author.
| Author | : David Barash |
| Publisher | : Routledge |
| Total Pages | : 222 |
| Release | : 2017-07-05 |
| Genre | : Science |
| ISBN | : 1351493000 |
There is a revolution underway in biology. It is based on a new perception of bodies and genes, in which the former are the end product of the latter within the continuum of evolution. Twenty fi ve years after Richard Dawkins helped revolutionize our thinking about "selfi sh genes," it is time to reevaluate. Revolutionary Biology explains in simple, vivid terms what this exciting approach has to off er, and then applies its stunning insights to human beings. Th is novel perspective, galvanizes our understanding of how evolution works, what living things are all about and, not least, what it means to be human. Th e controversial disciplines of sociobiology and evolutionary psychology have generated startling insights into longstanding questions concerning the nature and purpose of families, altruism vs. selfi shness, and free will vs. biological determinism. Written by one of its foremost fi gures, Revolutionary Biology is a manifesto and educated layman's guide to this ongoing revolution.
| Author | : Trudy A. Watt |
| Publisher | : CRC Press |
| Total Pages | : 298 |
| Release | : 2007-05-17 |
| Genre | : Mathematics |
| ISBN | : 1420011529 |
Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subject while demonstrating the importance of statistics in contemporary biological studies. New to the Third Edition More detailed explanation of the ideas of elementary probability to simplify the rationale behind hypothesis testing, before moving on to simple tests An emphasis on experimental design and data simulation prior to performing an experiment A general template for carrying out statistical tests from hypothesis to interpretation Worked examples and updated Minitab analyses and graphics Downloadable resources contains a free trial version of Minitab Using Minitab throughout to present practical examples, the authors emphasize the interpretation of computer output. With its nontechnical approach and practical advice, this student-friendly introductory text lays the foundation for the advanced study of statistical analysis.
| Author | : Maureen Healy |
| Publisher | : Health Communications, Inc. |
| Total Pages | : 266 |
| Release | : 2012-04-03 |
| Genre | : Family & Relationships |
| ISBN | : 0757316123 |
We all want children to be happy and grow into productive, fulfilled adults, and according to parenting expert Maureen Healy, the secret to that success is in providing a foundation of inner confidence. With twenty years of experience as a spiritual teacher and child development expert, Healy knows that confidence is never "out there" but is something to be cultivated from inside.Healy literally traveled the world in search of the best practices in raising inwardly strong children and the connection between inner confidence and lasting happiness. In Growing Happy Kids, she draws on her Buddhist training, her background in child psychology, and the latest scientific research. The result is her insightful model for creating inner confidence and cultivating a sense of emotional strength that lays the foundation for children's happiest lives.Anyone who touches the life of a child--parents, teachers, school administrators, grandparents, clinicians--will gain wise ideas and practical suggestions for nurturing a child's sense of confidence and ultimately, happiness.
| Author | : Charles J. Mode |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 442 |
| Release | : 2011-02-28 |
| Genre | : Computers |
| ISBN | : 9533074272 |
This volume is an eclectic mix of applications of Monte Carlo methods in many fields of research should not be surprising, because of the ubiquitous use of these methods in many fields of human endeavor. In an attempt to focus attention on a manageable set of applications, the main thrust of this book is to emphasize applications of Monte Carlo simulation methods in biology and medicine.
| Author | : |
| Publisher | : Elsevier |
| Total Pages | : 3421 |
| Release | : 2018-08-21 |
| Genre | : Medical |
| ISBN | : 0128114320 |
Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases
| Author | : Sanguthevar Rajasekaran |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 463 |
| Release | : 2009-03-27 |
| Genre | : Computers |
| ISBN | : 3642007260 |
This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology.
