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Groups of firms often achieve a competitive advantage through the formation of geo-industrial clusters. Although many exemplary clusters are the subjects of case studies, systematic approaches to identify and analyze the hierarchical structure of geo-industrial clusters at the global scale are scarce. In this work, we use LinkedIn's employment history data from more than 500 million users over 25 years to construct a labor flow network of over 4 million firms across the world, from which we reveal hierarchical structure by applying network community detection. We show that the resulting geo-industrial clusters exhibit a stronger association between the influx of educated workers and financial performance, compared to traditional aggregation units. Furthermore, our analysis of the skills of educated workers reveals richer insights into the relationship between the labor flow of educated workers and productivity growth. We argue that geo-industrial clusters defined by labor flow provide useful insights into the growth of the economy.

I offer three specific recommendations: * Paperless DRE voting machines should be immediately phased out from US elections in favor of systems, such as precinct-counted optical scan ballots, that leave a direct artifact of the voter's choice. * Statistical "risk limiting audits" should be used after every election to detect software failures and attacks. * Additional resources, infrastructure, and training should be made available to state and local voting officials to help them more effectively defend their systems against increasingly sophisticated adversaries.

BPA is an organic compound made from fossil fuel sources. The industrial chemical has been used to make plastics and resins since the 1950s, and products made with it are cheap to make, clear, flexible and strong. BPA can be found in a variety of products, including water bottles, storage containers and sports equipment. It's also widely used in the linings of food and beverage cans and in sales receipt paper. It's one of the most commonly synthesized chemicals today with more than six million tons created in 2018 alone.

The starting point is to note that, for people to be held responsible for their actions, they have to know about certain features of the world. In many cases, even this minimal condition for blameworthiness isn't satisfied. For example, Chow would have struggled to predict that the rise of ridesharing apps would crater the market for taxi medallions in New York City - but so, too, did most of us. By their very nature, technological disruptions are difficult to foresee; if they were easy to predict, early investors in these technologies wouldn't get so rich. Such a low bar for blameworthiness seems too harsh to be plausible; how can any of us be blamed for failing to spot trends that almost no one was able to see, despite the significant material incentives for doing so?

Do we see ourselves as part of a larger "us," a "them-and-us," or an atomised "I"?

BY NOW THERE'S little doubt about hydroxychloroquine: It doesn't work for treating Covid-19. But there's a bigger, more important lesson hidden in the story of its failure-a rarely-mentioned, but altogether crucial, error baked into the early research. The scientists who ran the first, promising laboratory experiments on the drug had used the wrong kind of cells: Instead of testing its effects on human lung cells, they relied on a supply of mass-produced, standardized cells made from a monkey's kidney. In the end, that poor decision made their findings more or less irrelevant to human health. Worse, it's possible that further research into novel Covid-19 cures will end up being compromised by the same mistake.

When telling a story, common but invisible words-a, the, it-are used in certain ways and at certain moments. In a study published in Science Advances, researchers from The University of Texas at Austin and Lancaster University in Lancaster, United Kingdom, recorded the use of such words across thousands of fictional and nonfictional stories, mapping a universal blueprint for storytelling.

Unlike conventional micro-transistors, magnetic tunnel junctions don't use the electrical charge of electrons to store information, but take advantage of a quantum-mechanical property that electrons have, which is referred to as "spin." Known as spintronics, computing technology based on magnetic tunnel junctions is still very much in the experimental phase, and applications are extremely limited. For example, the technology is used in aircraft and slot machines to protect stored data from sudden power outages. This is possible because magnetic tunnel junctions process and store information by switching the orientation of nano-scale magnets instead of moving electrons around as regular transistors do.

Mandates for mask use in public during the recent COVID-19 pandemic, worsened by global shortage of commercial supplies, have led to widespread use of homemade masks and mask alternatives. It is assumed that wearing such masks reduces the likelihood for an infected person to spread the disease, but many of these mask designs have not been tested in practice. We have demonstrated a simple optical measurement method to evaluate the efficacy of masks to reduce the transmission of respiratory droplets during regular speech. In proof-of-principle studies, we compared a variety of commonly available mask types and observed that some mask types approach the performance of standard surgical masks, while some mask alternatives, such as neck fleece or bandanas, offer very little protection. Our measurement setup is inexpensive and can be built and operated by non-experts, allowing for rapid evaluation of mask performance during speech, sneezing, or coughing.

Silicon is the second-most abundant element in Earth's crust and it plays a vital role in plant life, both on land and in the sea. Silicon is used by plants in tissue building, which helps to ward off herbivorous animals. In the ocean, phytoplankton consume enormous amounts of silicon; they get a constant supply courtesy of rivers and streams. And silicon winds up in rivers and streams due to erosion of silicon-containing rocks. Land plants also use silicon. They get it from the soil. In this new effort, the researchers began by noting that the terrestrial biogeochemical cycling of silicon (how it moves from plants back to the soil and then into plants again) is poorly understood. To gain a better understanding of how it works, they ventured to a part of Western Australia that, unlike other parts of the world, has not been impacted by Pleistocene glaciations. The soil there gave the researchers a look at the silicon cycle going back 2 million years.

Earlier this year, a slew of major tech companies announced they would make remote work a permanent part of their operations after COVID-19 forced them to give it a serious try. In response, commentators and pundits warned that scattering tech workers across the country could undermine one of the pillars of the US technology sector. The argument is that innovation is accelerated when knowledge workers are located close to each other, since proximity facilitates the circulation of ideas and knowledge.

In the few studies and examinations which exist, in using Treasury securities it's been figured these collateral re-pledging and rehypothecation chains average multiples of six to eight; meaning, that a single UST security might be reused for book and customer business six to eight times. Between 85% and 90% of all Treasuries taken on dealer books are re-used in some fashion. No wonder these banks might become skittish, and why Treasury (and similar collateral) prices remain the way they are. The value in UST's isn't as an investment; it's the liquidity premium demanded by a fragile global monetary system. These are balance sheet tools whose worth is derived from what central bankers and bank regulators (same thing) are in no rush to comprehend.

Or, What's Really Missing From Tech, the World, and Us Today

There are 2.5 billion people on earth without access to a toilet. That is one in three of us. When we hear the statistic, it can sound so big as to be overwhelming. Or at least impossible to solve. We'd prefer not to think about what it means. We throw up our hands. We look away.