The use of coal to generate electricity on the US grid has been plunging for nearly two decades, and the first Trump administration was unable to affect the trend. So his second administration has attempted more aggressive interventions to prop up coal use. One of its most direct means of doing so is to order coal plants that were scheduled to close to remain open, even if there is no need for them.

The administration's justification for these orders is a statute that allows the Department of Energy (DOE) to declare an emergency in the case of wartime or a sudden shortfall in generation. A number of parties, including states where coal plants have been slated to close, have challenged this declaration. And on Friday, in the first of these cases to make its way through the courts, the declaration was judged to be contrary to the statute. While this only affects a single coal plant in Michigan, the reasoning of the decision will apply to every coal plant closure that has been blocked by the DOE.

No emergency

The decision was issued by a unanimous three-judge panel from the DC Circuit's Court of Appeals. It focuses on the J.H. Campbell Generating Plant, which was scheduled to close last year but has been kept open by a total of five emergency declarations by the DOE, each limited to 90 days by the Federal Power Act. At issue was section 202(c) of that Act, which allows the DOE to declare emergencies when the US is at war or when “an emergency exists by reason of a sudden increase in the demand for electric energy, or a shortage of electric energy.”

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On Tuesday, Google announced AlphaGenome Atlas, a resource that attempts to predict the consequences of every possible single-base variant in the human genome. The human genome is about 3 billion bases long, so trying the other three DNA bases that don't appear in our reference genome means sending a total of 9 billion bases through AlphaGenome software.

AlphaGenome is designed to identify potential functions of non-coding DNA, which does not encode proteins but makes up the vast majority of the human genome. Some of this non-coding DNA is essential for controlling the activity of the protein-coding portion—it tells the cell where and when to make messenger RNAs, how to process them into mature protein-coding forms, and so on. But much of it appears to be little more than the remains of viruses and other molecular parasites.

Being able to identify the functional portion is very useful, as is having all the analysis done by a single software package. But until biologists start to use it heavily (assuming they do), it won't be clear what AlphaGenome offers beyond what we could have gotten out of its training data.

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Late last week, word started leaking that the National Institutes of Health (NIH) had reached an agreement with the Department of Defense that would see part of the NIH's budget used to fund research at the Department of Defense. So, on the Friday just prior to a US holiday weekend, the Department of Defense released a copy of the agreement and confirmed that it had been signed roughly a month earlier. The move is striking for a number of reasons, ranging from the existing budget disparities between the two parties involved to the fact that the money would be used for projects that the current NIH leadership has explicitly rejected.

The agreement itself sets up a system where the NIH would transfer money to the Department of Defense to fund staff and projects that would "support the advanced development of medical countermeasures against pandemic influenza, chemical, biological, radiological, and nuclear (CBRN) threats, and emerging infectious diseases." The money would come out of the budget for the NIH's National Institute of Allergy and Infectious Diseases, or NIAID, to which Congress has allocated $6.6 billion in 2026. The agreement is set to run for a decade.

Left unspecified is just how much of the NIAID budget will be spent on Defense projects. Reporting by Nature suggests that the Department of Defense was looking for up to a third of its total budget but was being told to settle for about 10 percent. There's obviously an enormous disparity between the budgets of these two agencies, given that the 2026 Defense budget is roughly $1 trillion. That budget is under considerable strain, however, due to the open-ended nature of the conflict with Iran. The deal has also been announced at a time when the NIH has been struggling to issue sufficient grants to use the money that Congress allocated to it.

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On Friday, researchers announced the completion of a map of every neuron in the brain of a male fruit fly. The "connectome" provides a tool that can accelerate neurobiology research. But it also provides an opportunity to do some science on its own, as the connectome of a female Drosophila had been completed earlier this year. The work also provided the team behind it the opportunity to refine tools that are likely to be applied to ever-more complex nervous systems, including (potentially) those of vertebrates.

The new work involved a collaboration between biologists at the Howard Hughes Medical Institute's Janelia Research Campus and computer scientists at Google—both acknowledge that neither could have done the project without the other. Preparation of an entire brain for imaging at the necessary resolution requires a distinct set of skills, as does interpreting what those images indicate. But building a complete picture of the hundreds of millions of synapses in a brain as small as the fruit fly's is a task that can't be achieved by humans in a manageable amount of time.

The people behind the effort expect that in the long term, the effort will be worth it, as the connectome could give neurobiologists a valuable tool for understanding how the brain works.

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On Tuesday, the House of Representatives passed a stopgap measure that would continue funding the US government through early December. While the measure still requires the signature of President Trump, it's widely expected that he will act to avoid a government shutdown immediately before the midterm elections.

This is a normal part of how the US government has operated in recent years, as it's often difficult to build the political support needed to pass a full year's budget in advance. In fact, dissent within the House's Republican caucus prevented them from agreeing on their own measure to keep the government open; instead, the House simply adopted a version of the spending bill that had previously passed the Senate.

From the perspective of scientists and their supporters, that adoption turned out to be a very good thing, because the Senate's budget bill, passed in early August, contains a provision that blocks the Office of Management and Budget (OMB) from implementing new rules that would give political appointees full control over what science is funded and allow them to cancel any grant at any time. The proposed rule has been widely decried as catastrophic for science, and it faced widespread opposition from scientific and health-focused organizations.

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The genetic code is what life everywhere uses to convert the information contained in DNA into specific protein sequences. With minor variations, the same genetic code is used by every living thing on Earth, suggesting it was already present in the last common ancestor of all of them. It's not an easy thing to change, because so many things in every cell depend on it.

Nevertheless, some preliminary steps have been taken. Researchers have managed to add some new amino acids to a bacterial cell and were able to make proteins that were one amino acid less than usual. But it's a slog; for some of this work, people have had to re-engineer every single gene in a bacterial genome.

Now, researchers have found a way to operate two separate genetic codes simultaneously, avoiding the need to do any work to compensate for altering the code that every protein in a cell relies on. They didn't test it in an actual cell, and it might cause some problems there. But it's a creative solution that should accelerate some synthetic biology work.

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The Velotric Discover M e-bike we reviewed earlier this year had a feature I found somewhat annoying: It would sporadically block much of the display with an alert telling me I should be in a different gear. While the implementation bugged me, the concept made a certain degree of sense; most e-bikes now know your cadence, how much torque you're generating, and how that power is being translated into speed. That's everything you need to know to determine an optimal gear.

Somewhere in the back of my mind, I thought, "If you're so smart, why don't you just shift for me?"

I was completely unaware that Shimano had already developed a system that did exactly that. And for the past few weeks, I've been using it on a $4,500 cargo bike from Xtracycle called the Swoop ASM that let me see what it's like to hand control of my gears to an electronic brain.

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Antibodies play a central role in your body's immune defense. But they're also nearly ubiquitous in biological research, being essential for several widely used lab techniques. While some researchers need to go through the process of producing their own antibodies, antibodies to many key proteins are commercially available and can be ordered for overnight delivery.

In May, however, Reese Richardson, a post-doc at Northwestern University, discovered that some of the images used to demonstrate how these antibodies performed in lab experiments had been subject to image manipulation—the sorts of changes that would get a paper retracted if they had appeared in the academic literature. The manipulations ranged from removing background noise to copying and pasting data to fabricate results. Now, he has done a more exhaustive search and found problematic manipulations in images used to market over 17,000 commercial antibodies.

Antibodies are useful in the lab because the immune system generates them to recognize specific proteins. While those proteins typically appear on the surface of pathogens, the immune system doesn't know where a given protein it encounters comes from. So, if you inject an animal with your protein of interest, it will typically generate antibodies to recognize that.

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Most of what we know about the Earth's interior comes from observing seismic waves. These travel at somewhat different speeds depending on the details of the rock they're moving through—whether it's solid or semi-molten, how much water is present, whether it's fractured or solid material, and so on. Get enough data from enough seismic events, and you can start piecing together a picture of what's present at different depths below the surface.

In many cases, we can get this data from naturally occurring events like earthquakes. In others, we intentionally create waves using things like explosives, providing the opportunity to do imaging in specific areas without needing to wait for an earthquake. Now, a team of scientists at Penn State suggests there's a potential option that sits between waiting for an earthquake and triggering your own seismic event: thunderstorms.

Some of the energy carried by thunder enters the Earth's upper crust, triggering what are termed "thunderquakes." But, for various physical reasons, the seismic signals are extremely complex, making it difficult to extract clear signals from them. The Penn State team says it has finally constructed a model that can help make sense of this complexity and used it to reconstruct the terrain under the local campus.

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