Showing results for "Once" in Science

Everything All at Once is an exciting, inspiring call to unleash the power of the nerd mindset that exists within us all. Nye believes we'll never be able to tackle our society's biggest, most complex problems if we don't even know how to solve the small ones. Step by step, he shows his listeners the key tools behind his everything-all-at-once approach: radical curiosity, a deep desire for a better future, and a willingness to take the actions needed to make it a reality.

Combining the ethical clarity of Jonathan Safran Foer’s Eating Animals with the disquieting vision of Alan Weissman’s bestseller The World Without Us, a thought-provoking, entertaining exploration of a future where animal consumption is a thing of the past. Though increasing numbers of...

Beavers, those icons of industriousness, have been gnawing down trees, building dams, shaping the land, and creating critical habitat in North America for at least a million years. Once one of the continent's most ubiquitous mammals, they ranged from the Atlantic to the Pacific, and from the Rio Grande to the edge of the northern tundra. Wherever there was wood and water, there were beavers - 60 million (or more) - and wherever there were beavers, there were intricate natural communities that depended on their activities.

In 2000, Martin Bojowald, then a twenty-seven-year-old post-doc at Pennsylvania State University, used a relatively new theory called loop quantum gravity—a cunning combination of Einstein’s theory of gravity with quantum mechanics—to create a simple model of the universe. Loop quantum...

In Once and Future Giants, science writer Sharon Levy digs through the evidence surrounding Pleistocene large animal ("megafauna") extinction events worldwide, showing that understanding this history - and our part in it - is crucial for protecting the elephants, polar bears, and other great creatures at risk today. These surviving relatives of the Ice Age beasts now face an intensified replay of that great die-off, as our species usurps the planet's last wild places while driving a warming trend more extreme than any in mammalian history.

Unfiltered career discussions with scientists

Once Upon a River is a podcast from the Werribee River Association. Episodes tell the stories of our waterways, the communities that care for them, and what we can do to make them (and us) healthier. Subscribe for updates.

Are you a proud Owl who is curious about all that comprises the FAU Labs community? Welcome to Once An Owl, Always An Owl, the podcast that explores and reminisces about the unique connection that our students, faculty, and alumni have created through their time at - and involvement with - the school. We will explore some of the personal stories, dive into the fascinating histories, and reveal some treasured memories from the dynamic personalities that weave together the fabric of our community. From the past to the future, from the imagination to the innovation, won't you join us on this ...

There are SO many issues in healthcare that impact medical/nursing providers and patients alike, but each of them may not see the connections to themselves. This show will be a forum for nurses to tell stories about their own experiences, whether professional or family-focused and guests will inspire conversation on health and nursing-related topics. Issues will vary from communication in healthcare to current issues, such as nurse/patient ratios, dealing with conflict, how to create cooperative workplaces, speed-reading people, as nursing strikes and much more. Government policies are ...

Smallpox, the only infectious disease to have been eradicated, was one of the most terrifying of human scourges. It covered the skin with hideous, painful boils, killed a third of its victims, and left the survivors disfigured for life. In this riveting, often terrifying look at the history of smallpox, Jonathan B. Tucker tells the story of this deadly disease, the heroic efforts to eradicate it worldwide, and the looming dangers it still poses today.

Most of us can recognize an object after seeing it once or twice. But the algorithms that power computer vision and voice recognition need thousands of examples to become familiar with each new image or word.