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Biology and General Science

Biology and General Science

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Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and computer vision.

Reinventing the Human in the Molecular Age

The molecular life sciences are making visible what was once invisible. Yet the more we learn about our own biology, the less we are able to fit this knowledge into an integrated whole. Life is divided into new sub-units and reassembled into new forms: from genes to clones, from embryonic stages to the building-blocks of synthetic biology.

How Evolution Made Humans Unique

Over the last three million years or so, our lineage has diverged sharply from those of our great ape relatives. Change has been rapid (in evolutionary terms) and pervasive. Morphology, life history, social life, sexual behavior, and foraging patterns have all shifted sharply away from those of the other great apes. In The Evolved Apprentice, Kim Sterelny argues that the divergence stems from the fact that humans gradually came to enrich the learning environment of the next generation.

Voyages of Scientific Discovery with the Mars Exploration Rovers

Geologists in the field climb hills and hang onto craggy outcrops; they put their fingers in sand and scratch, smell, and even taste rocks. Beginning in 2004, however, a team of geologists and other planetary scientists did field science in a dark room in Pasadena, exploring Mars from NASA’s Jet Propulsion Laboratory (JPL) by means of the remotely operated Mars Exploration Rovers (MER).

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples. But so are theories about astrology, alien abduction, guardian angels, and reincarnation.

Setting Limits on Healthcare

Most people would agree that the healthcare system in the United States is a mess. Healthcare accounts for a larger percentage of gross domestic product in the United States than in any other industrialized nation, but health outcomes do not reflect this enormous investment. In this book, Philip Rosoff offers a provocative proposal for providing quality healthcare to all Americans and controlling the out-of-control costs that threaten the economy.

The Algorithmics of Ancestral Recombination Graphs and Explicit Phylogenetic Networks

In this book, Dan Gusfield examines combinatorial algorithms to construct genealogical and exact phylogenetic networks, particularly ancestral recombination graphs (ARGs). The algorithms produce networks (or information about networks) that serve as hypotheses about the true genealogical history of observed biological sequences and can be applied to practical biological problems.

The Struggle to Understand the Interaction of Nature and Nurture

If everyone now agrees that human traits arise not from nature or nurture but from the interaction of nature and nurture, why does the “nature versus nurture” debate persist? In Beyond Versus, James Tabery argues that the persistence stems from a century-long struggle to understand the interaction of nature and nurture—a struggle to define what the interaction of nature and nurture is, how it should be investigated, and what counts as evidence for it.

Genetic, Epigenetic, Behavioral, and Symbolic Variation in the History of Life

This new edition of the widely read Evolution in Four Dimensions has been revised to reflect the spate of new discoveries in biology since the book was first published in 2005, offering corrections, an updated bibliography, and a substantial new chapter. Eva Jablonka and Marion Lamb’s pioneering argument proposes that there is more to heredity than genes.

Investigating Synthetic Biology’s Designs on Nature

Synthetic biology manipulates the stuff of life. For synthetic biologists, living matter is programmable material. In search of carbon-neutral fuels, sustainable manufacturing techniques, and innovative drugs, these researchers aim to redesign existing organisms and even construct completely novel biological entities. Some synthetic biologists see themselves as designers, inventing new products and applications. But if biology is viewed as a malleable, engineerable, designable medium, what is the role of design and how will its values apply?

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