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Longitudinal dynamics of gene expression and metabolomics in an aging population cohort

Multiomic profiling provides a comprehensive physiological overview at the molecular level, but understanding of its spatiotemporal dynamics remains limited in human populations. We profiled longitudinal whole-blood gene expression and metabolite levels in 335 females over 8 years. Levels of 5,061 genes and 181 metabolites changed over time, with individual trajectories often diverging from population-level trends. Longitudinally variable genes showed cell type specificity and enrichment for aging-relevant pathways, including cardiometabolic and neurodegenerative disorders. Longitudinal trajectories were further shaped by genetics, circadian rhythm, seasonality, and environmental pollutant exposures. Integrative analyses revealed extensive static and time-variable cross-omic connectivity.

Group raises awareness of brain aneurysm signs as survivor shares story

Brain aneurysms can be fatal and sometimes debilitating, and, in most cases, there are not many ways to prevent them. But a local group is working to raise awareness about the warning signs and symptoms.

For Carly Nunn, surviving a brain aneurysm has been a long road.

“I was very, very scared, afraid, not knowing what was happening,” Nunn said.

Eight years ago, Nunn was a college student at the University of Cincinnati when she began to feel something was wrong.

“I started feeling kind of off and weird, and it eventually led to me losing all feeling in the right side of my body,” she said.

Nunn said her roommate, a nursing student, acted quickly to get her medical help.

Two years ago, I went on the NoCode podcast and spent an hour telling builders the tools aren’t the point

JJ Englert and David Pal invited me on This Week in NoCode, expecting a conversation about #AI. They got one about character, culture, and who gets to decide the Why.

Somewhere in there I argued that the biggest project of our civilization is humanity itself, and that we keep pouring money into intelligence while starving wisdom. Two years, a few hundred billion in capex, and one full hype cycle later, I’d only say it louder.

There’s a stretch in the middle on self-regulation and #ethics that I’d rather you watch than have me paraphrase here.

The Future of Humanity and AI with Nikola Danaylov: A Deep Dive into Ethics, Culture, and Technology [ https://snglrty.co/49Sb8aE](https://snglrty.co/49Sb8aE)


Nikola Danaylov on the ethical and cultural challenges of AI, emphasizing the balance of human wisdom with technological advancements.

New krypton-88 data narrow a key gap in stellar strontium models

An international research team has reported the first experimental investigation of a nuclear physics reaction essential for understanding how the element strontium is produced in stars—specifically in stellar environments where traditional explanations for its formation fall short. The study, published June 8 in Communications Physics, reports that the team used indirect experimental techniques to extract previously inaccessible information about how an isotope of a separate element—krypton—absorbs, or captures, neutrons.

Their measurements reduced the uncertainty of the neutron-capture rate of this isotope, krypton-88, from at least a factor of eight to about a factor of three. The team showed that the true rate of neutron capture by krypton-88 is consistently lower than theoretical predictions. When they incorporated these observations into leading models of how stars forge heavy elements—the intermediate neutron-capture process (i-process)—they discovered that the new rate increased the predicted amount of strontium, bringing simulations into better agreement with astronomical observations.

CRA Reporting Obligations Are Live — Most IIoT Vendors Aren’t Ready

CRA reporting obligations under Article 14 of the EU Cyber Resilience Act took effect September 11, 2026, and most IIoT vendors had their compliance timeline pointed at the wrong date. Any manufacturer of a digital-element product sold into the EU — PLCs, gateways, sensors, connected machinery already shipped — now has 24 hours to file an early warning after learning of active exploitation, and 72 hours for a full notification. The duty is retroactive, penalties run to €15 million or 2.5% of global turnover, and full CRA product compliance doesn’t arrive until December 2027, which is exactly why most teams assumed they had more runway.

Most compliance calendars at industrial IoT companies have one CRA date circled: December 11, 2027, when full product requirements and CE marking become mandatory. But the CRA reporting obligations arrived first, on September 11, 2026, and already apply to hardware sitting in factories and warehouses today. A manufacturer that learns of an actively exploited vulnerability in a gateway shipped in 2019 is on the same 24-hour clock as one shipping a new sensor next quarter.

The CRA entered into force in December 2024, and most compliance briefs since have treated 2027 as the date that matters. Legal trackers at Jones Day and the National Law Review flag the same pattern: teams treat reporting as a footnote to the bigger conformity deadline, when it’s actually the first bill coming due. The CRA reporting obligations don’t wait for a redesign or a certification cycle — they apply the day a company learns of active exploitation, on equipment shipped years before the rule existed.

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The DESI legacy imaging survey releases the largest 2D map of the universe

In 2012, the Dark Energy Spectroscopic Instrument (DESI) was commissioned to measure the effect of dark energy, the mysterious force driving the expansion of the cosmos. Since then, the DESI Legacy Imaging Surveys have obtained optical images of tens of millions of galaxies and quasars, including through NOIRLab’s Nicholas U. Mayall 4-meter Telescope at Kitt Peak National Observatory (KPNO). In recent news, the DESI Legacy Imaging Surveys team made its 11th data release (DR 11), constituting the largest-ever 2D map of the universe.

Long AI conversations reveal misinformation vulnerabilities across seven leading chatbots

The results are in: Which AI model is the most fallible? Persuadable? Correctible? University of Arizona researchers assessed seven different generative AI large language models, or LLMs, for these three qualities during lengthy conversations. Their work, published in Nature’s Scientific Reports, reveals intrinsic limitations that might go undetected during one-off interactions.

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