The Ukrainian military faces critical challenges that demand immediate, honest evaluation:

• Infantry roles becoming increasingly unsustainable

• Recruitment system disproportionately burdens vulnerable populations

• Command structures trapped in outdated bureaucratic frameworks

• Morale gradually eroding under prolonged combat stress

• No clear exit strategy for frontline soldiers

• Commanders prioritizing reporting over human lives

• Declining Western support momentum

• Deeply entrenched leadership inefficiencies

Suggested changes:

• Implement merit-based officer promotion systems
• Establish fixed, transparent service terms
• Rebuild trust between military leadership and soldiers

More in the article.

According to the article, Danieli continues to operate in Russia despite EU sanctions, collaborating with steel giants like Severstal and MMK, both linked to military production. Danieli reportedly uses its Chinese subsidiary to bypass sanctions, enabling the supply of equipment to Russia. In 2023, its Russian subsidiary’s cash flow increased 35-fold, contradicting claims that the business is unprofitable or disconnected from the military sector. The company’s justification hinges on technicalities, but the financial and strategic realities suggest complicity in sustaining critical industries that support Russia’s war economy. At what point does this move from legal maneuvering to outright enabling?

How Base 3 Computing Beats Binary

Metadata

• Author: Stephen Ornes
• Category: rss
• URL: https://www.quantamagazine.org/how-base-3-computing-beats-binary-20240809/

Highlights

Three, as Schoolhouse Rock! told children of the 1970s, is a magic number. Three little pigs; three beds, bowls and bears for Goldilocks; three Star Wars trilogies. You need at least three legs for a stool to stand on its own, and at least three points to define a triangle.

If a three-state system is so efficient, you might imagine that a four-state or five-state system would be even more so. But the more digits you require, the more space you’ll need. It turns out that ternary is the most economical of all possible integer bases for representing big numbers.

Surprisingly, if you allow a base to be any real number, and not just an integer, then the most efficient computational base is the irrational number e.

Despite its natural advantages, base 3 computing never took off, even though many mathematicians marveled at its efficiency. In 1840, an English printer, inventor, banker and self-taught mathematician named Thomas Fowler invented a ternary computing machine to calculate weighted values of taxes and interest. “After that, very little was done for years,” said Bertrand Cambou, an applied physicist at Northern Arizona University.

Why didn’t ternary computing catch on? The primary reason was convention. Even though Soviet scientists were building ternary devices, the rest of the world focused on developing hardware and software based on switching circuits — the foundation of binary computing. Binary was easier to implement.

A strong majority of Americans across the political spectrum sympathize more with Ukraine than Russia in the ongoing war: 62% of respondents express more sympathy with Ukraine than Russia, including 58% of Republicans and 76% of Democrats. At the same time, just 2% of respondents said they sympathized more with Russia in the conflict, including 4% of Republicans and 1% of Democrats. Republicans (20%) were more likely than Democrats (7%) to say they sympathized with neither side, while equal numbers of Republicans and Democrats (5%) said they sympathized with both sides equally.

The percentage of respondents who said they want the United States to stay the course in supporting Ukraine grew from our October 2023 poll, reaching the highest level in our tracking since the spring of 2023. In our latest survey, 48% of all respondents said that the United States should support Ukraine as long as the conflict lasts, including 37% of Republicans and 63% of Democrats. All these numbers are new highs in our four polls since March-April 2023.

Highlights

“Now, there’s no question China has been trying to crack down on the internet.” (Chuckles.) “Good luck!” (Laughter.) “That’s sort of like trying to nail Jell-O to the wall.” (Laughter.)

While we were still rhapsodizing about the many ways in which the internet could spread democracy, the Chinese were designing what’s become known as the Great Firewall of China.

Even in a state where surveillance is almost total, the experience of tyranny and injustice can radicalize people. Anger at arbitrary power will always lead someone to start thinking about another system, a better way to run society. The strength of these demonstrations, and the broader anger they reflected, was enough to spook the Chinese Communist Party into lifting the quarantine and allowing the virus to spread. The deaths that resulted were preferable to public anger and protest.

If people are naturally drawn to the image of human rights, to the language of democracy, to the dream of freedom, then those concepts have to be poisoned. That requires more than surveillance, more than close observation of the population, more than a political system that defends against liberal ideas. It also requires an offensive plan: a narrative that damages both the idea of democracy everywhere in the world and the tools to deliver it.

This is the core problem for autocracies: The Russians, the Chinese, the Iranians, and others all know that the language of transparency, accountability, justice, and democracy appeals to some of their citizens, as it does to many people who live in dictatorships. Even the most sophisticated surveillance can’t wholly suppress it. The very ideas of democracy and freedom must be discredited—especially in the places where they have historically flourished.

Instead of portraying China as the perfect society, modern Chinese propaganda seeks to inculcate nationalist pride, based on China’s real experience of economic development, and to promote a Beijing model of progress through dictatorship and “order” that’s superior to the chaos and violence of democracy.

In September 2022, when Putin held a ceremony to mark his illegal annexation of southern and eastern Ukraine, he claimed that he was protecting Russia from the “satanic” West and “perversions that lead to degradation and extinction.” He did not speak of the people he had tortured or the Ukrainian children he had kidnapped.

Another strange actor in this field is RRN—the company’s name is an acronym, originally for Reliable Russian News, later changed to Reliable Recent News. Created in the aftermath of Russia’s invasion of Ukraine, RRN, part of a bigger information-laundering operation known to investigators as Doppelganger, is primarily a “typosquatter”: a company that registers domain names that look similar to real media domain names—Reuters.cfd instead of Reuters.com, for example—as well as websites with names that sound authentic (like Notre Pays, or “Our Country”) but are created to deceive.

None of these efforts would succeed without local actors who share the autocratic world’s goals. Russia, China, and Venezuela did not invent anti-Americanism in Mexico. They did not invent Catalan separatism, to name another movement that both Russian and Venezuelan social-media accounts supported, or the German far right, or France’s Marine Le Pen. All they do is amplify existing people and movements—whether anti-LGBTQ, anti-Semitic, anti-Muslim, anti-immigrant, anti-Ukrainian, or, above all, antidemocratic.

Here is a difficult truth: A part of the American political spectrum is not merely a passive recipient of the combined authoritarian narratives that come from Russia, China, and their ilk, but an active participant in creating and spreading them. Like the leaders of those countries, the American MAGA right also wants Americans to believe that their democracy is degenerate, their elections illegitimate, their civilization dying.

Highlights

We may be close to rediscovering thousands of texts that had been lost for millennia. Their contents may reshape how we understand the Ancient World.

We don’t have original copies of anything, not of the Iliad, or the Aeneid, or Herodotus, or the Bible. Instead of originals, we find ourselves dealing with copies. These were first written on scrolls but later in books – the Romans called books codexes – starting in the first century AD. Did I say copies? That’s actually not correct either. We don’t have first copies of anything. What we do have is copies of copies, most of which date hundreds of years after the original was penned. Even many of our copies are not complete copies.

To most fully acclimate the reader to how tenuous this process is, this essay will focus on three different texts. The first will be a very well-known work that was never lost. Nevertheless, almost no one read it in earnest until the nineteenth century. I will then focus on a text that was lost to history, but that we were able to recover from the annals of time. Such examples are fortuitous. Our third example will be a text that we know existed, but of which we have no copies, and consider what important ramifications its discovery could hold. Finally, we’ll turn our attention again to the Villa of the Papyri and the gold mine of texts discovered there that new technologies are currently making available to classicists.

However, many of the scrolls from the Villa of the Papyri remain not only unread, but also unopened. This is because the eruption of Vesuvius left the scrolls carbonized, making it nearly impossible to open them. Despite this obstacle, Dr. Brent Seales pioneered a new technology in 2015 that allowed him and his team to read a scroll without opening it. The technique, using X-ray tomography and computer vision, is known as virtual unwrapping, and it was first used on one of the famous Dead Sea Scrolls, specifically the En-Gedi scroll, the earliest known copy of the Book of Leviticus (likely 210–390 CE). The X-rays allow scholars to create a virtual copy of the text that can then be read like any other ancient document by those with the proper language and paleography skills. Using Dr. Seales’s technique, scholars have been able to upload many of the texts online. A group of donors led by Nat Friedman and Daniel Gross have offered cash prizes to teams of classicists who can decipher the writings. The race to read the virtually unwrapped scrolls is known as the Vesuvius Challenge.

Highlights

When seawater gets cold, it gets viscous. This fact could explain how single-celled ocean creatures became multicellular when the planet was frozen during “Snowball Earth,” according to experiments.

A series of papers from the lab of Carl Simpson proposes an answer linked to a fundamental physical fact: As seawater gets colder, it gets more viscous, and therefore more difficult for very small organisms to navigate. Imagine swimming through honey rather than water. If microscopic organisms struggled to get enough food to survive under these conditions, as Simpson’s modeling work has implied, they would be placed under pressure to change — perhaps by developing ways to hang on to each other, form larger groups, and move through the water with greater force. Maybe some of these changes contributed to the beginning of multicellular animal life.

The experiment comes with a few caveats, and the paper has yet to be peer-reviewed; Simpson posted a preprint on biorxiv.org earlier this year. But it suggests that if Snowball Earth did act as a trigger for the evolution of complex life, it might be due to the physics of cold water.

It is difficult to precisely date when animals arose, but an estimate from molecular clocks — which use mutation rates to estimate the passage of time — suggests that the last common ancestor of multicellular animals emerged during the era known as the Sturtian Snowball Earth, sometime between 717 million and 660 million years ago. Large, unmistakably multicellular animals appear in the fossil record tens of millions of years after the Earth melted following another, shorter Snowball Earth period around 635 million years ago.

The paradox — a planet seemingly hostile to life giving evolution a major push — continued to perplex Simpson throughout his schooling and into his professional life. In 2018, as an assistant professor, he had an insight: As seawater gets colder, it grows thicker. It’s basic physics — the density and viscosity of water molecules rises as the temperature drops. Under the conditions of Snowball Earth, the ocean would have been twice or even four times as viscous as it was before the planet froze over.

As large creatures, we don’t think much about the thickness of the fluids around us. It’s not a part of our daily lived experience, and we are so big that viscosity doesn’t impinge on us very much. The ability to move easily — relatively speaking — is something we take for granted. From the time Simpson first realized that such limits on movement could be a monumental obstacle to microscopic life, he hasn’t been able to stop thinking about it. Viscosity may have mattered quite a lot in the origins of complex life, whenever that was.

“Putting this into our repertoire of thinking about why these things evolved — that is the value of the entire thing,” he said. “It doesn’t matter if it was Snowball Earth. It doesn’t matter if it happened before or after. Just the idea that it can happen, and happen quickly.”

Highlights

Amanda Randles wants to copy your body. If the computer scientist had her way, she’d have enough data — and processing power — to effectively clone you on her computer, run the clock forward, and see what your coronary arteries or red blood cells might do in a week. Fully personalized medical simulations, or “digital twins,” are still beyond our abilities, but Randles has pioneered computer models of blood flow over long durations that are already helping doctors noninvasively diagnose and treat diseases.

Her latest system takes 3D images of a patient’s blood vessels, then simulates and forecasts their expected fluid dynamics. Doctors who use the system can not only measure the usual stuff, like pulse and blood pressure, but also spy on the blood’s behavior inside the vessel. This lets them observe swirls in the bloodstream called vortices and the stresses felt by vessel walls — both of which are linked to heart disease. A decade ago, Randles’ team could simulate blood flow for only about 30 heartbeats, but today they can foresee over 700,000 heartbeats (about a week’s worth). And because their models are interactive, doctors can also predict what will happen if they take measures such as prescribing medicine or implanting a stent.

It’s a lot of data. We’re running simulations with up to 580 million red blood cells. There’s interactions with the fluid and red blood cells, the cells with each other, the cells with the walls — you’re trying to capture all of that. For each model, one time point might be half a terabyte, and there are millions of time steps in each heartbeat. It’s really computationally intense.

Fascinating, I like this kind of Magick.

The major story of the past couple of weeks has been Ukraine’s Kursk offensive and the seizing of over 1100 square kilometres of Russian territory in the past ten days. This has been a stunning change in the direction of the war. At least five Ukrainian brigades, or elements of those brigades, and possibly more have seized the initiative and remained on the move since surprising the Russians in their initial crossing of the border into the Russian Kursk oblast.

Highlights

European beech trees more than 1,500 kilometers apart all drop their fruit at the same time in a grand synchronization event now linked to the summer solstice.

From England to Sweden to Italy — across multiple seas, time zones and climates — somehow these trees “know” when to reproduce. But how?

Their analysis of over 60 years’ worth of seeding data suggests that European beech trees time their masting to the summer solstice and peak daylight.

The discovery of the genetic mechanism that governs this solstice-monitoring behavior could bring researchers closer to understanding many other mysteries of tree physiology.

So it’s easy to see why masting trees synchronize their seed production. Understanding how they do it, however, is more complicated. Plants usually synchronize their reproduction by timing it to the same weather signals.

Then the team stumbled across a clue by accident. One summer evening, Bogdziewicz was sitting on his balcony reading a study which found that the timing of leaf senescence — the natural aging process leaves go through each autumn — depends on when the local weather warms relative to the summer solstice. Inspired by this finding, he sent the paper to his research group and called a brainstorming session.

It’s the first time that researchers have identified day length as a cue for masting. While Koenig cautioned that the result is only correlational, he added that “there’s very little out there speculating on how the trees are doing what they’re doing.”

If the solstice is shown to activate a genetic mechanism, it would be a major breakthrough for the field. Currently, there’s little data to explain how trees behave as they do. No one even knows whether trees naturally grow old and die, Vacchiano said. Ecologists struggle just to study trees: From branches to root systems, the parts of a tree say very little about the physiology of the tree as a whole. What experts do know is that discovering how trees sense their environment will help them answer the questions that have been stumping them for decades.

We can best view the method of science as the use of our sophisticated methodological toolbox

Metadata

• Author: OUP Academic
• Category: article
• URL: https://academic.oup.com/pnasnexus/article/3/4/pgae112/7626940?login=false

Highlights

Scientific, medical, and technological knowledge has transformed our world, but we still poorly understand the nature of scientific methodology.

scientific methodology has not been systematically analyzed using large-scale data and scientific methods themselves as it is viewed as not easily amenable to scientific study.

This study reveals that 25% of all discoveries since 1900 did not apply the common scientific method (all three features)—with 6% of discoveries using no observation, 23% using no experimentation, and 17% not testing a hypothesis.

Empirical evidence thus challenges the common view of the scientific method.

This provides a new perspective to the scientific method—embedded in our sophisticated methods and instruments—and suggests that we need to reform and extend the way we view the scientific method and discovery process.

In fact, hundreds of major scientific discoveries did not use “the scientific method”, as defined in science dictionaries as the combined process of “the collection of data through observation and experiment, and the formulation and testing of hypotheses” (1). In other words, it is “The process of observing, asking questions, and seeking answers through tests and experiments” (2, cf. 3).

In general, this universal method is commonly viewed as a unifying method of science and can be traced back at least to Francis Bacon's theory of scientific methodology in 1620 which popularized the concept

Science thus does not always fit the textbook definition.

Comparison across fields provides evidence that the common scientific method was not applied in making about half of all Nobel Prize discoveries in astronomy, economics and social sciences, and a quarter of such discoveries in physics, as highlighted in Fig. 2b. Some discoveries are thus non-experimental and more theoretical in nature, while others are made in an exploratory way, without explicitly formulating and testing a preestablished hypothesis.

We find that one general feature of scientific methodology is applied in making science's major discoveries: the use of sophisticated methods or instruments. These are defined here as scientific methods and instruments that extend our cognitive and sensory abilities—such as statistical methods, lasers, and chromatography methods. They are external resources (material artifacts) that can be shared and used by others—whereas observing, hypothesizing, and experimenting are, in contrast, largely internal (cognitive) abilities that are not material (Fig. 2).

Just as science has evolved, so should the classic scientific method—which is construed in such general terms that it would be better described as a basic method of reasoning used for human activities (non-scientific and scientific).

An experimental research design was not carried out when Einstein developed the law of the photoelectric effect in 1905 or when Franklin, Crick, and Watson discovered the double helix structure of DNA in 1953 using observational images developed by Franklin.

Direct observation was not made when for example Penrose developed the mathematical proof for black holes in 1965 or when Prigogine developed the theory of dissipative structures in thermodynamics in 1969. A hypothesis was not directly tested when Jerne developed the natural-selection theory of antibody formation in 1955 or when Peebles developed the theoretical framework of physical cosmology in 1965.

Sophisticated methods make research more accurate and reliable and enable us to evaluate the quality of research.

Applying observation and a complex method or instrument, together, is decisive in producing nearly all major discoveries at 94%, illustrating the central importance of empirical sciences in driving discovery and science.