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In this issue 15 papers · 5 free

01 PLOS Medicine Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis Free
02 eLife Environmental temperature is a strong driver of subspecies competition in the Drosophila microbiome Free
03 Nature Communications Dynamics-informed machine learning for recovering extensive missing systems dynamics Free
04 Nature Communications Extending single-cell proteomics from HeLa to small primary human immune cells Free
05 Nature Communications Bayesian bilevel operator learning with low-rank adaptation for efficient uncertainty quantification of PDE inverse problems Free
06 Nature Geoscience Experimental constraints on a long-lived magma layer at the Martian core-mantle boundary Subscribers
07 Proceedings of the National Academy of Sciences Host-mediated insecticide sequestration in target-site-resistant pests impacts parasitoid fitness and evolution Subscribers
08 Science Advances Amine-rich cross-linking templates enabling toughened self-assembled monolayer for stable perovskite solar modules Subscribers
09 The Astrophysical Journal A Possible Hidden Hot Halo Component Revealed by Joint X-Ray and Sunyaev-Zel’dovich Observations Subscribers
10 Nature Electrically controllable superconducting memory effect in UTe2 Subscribers
11 Physical Review X Enduring Mechanical Memory from the Constitutive Response of Elastically Recoverable Nanostructured Materials Subscribers
12 Nature Chemistry Autonomous migration of a phosphate group along glycerol and inositol scaffolds driven by a phosphodiester reaction cycle Subscribers
13 PLOS Medicine The retail food environment following a mandatory healthy checkout policy: A natural experimental evaluation Subscribers
14 Proceedings of the National Academy of Sciences Unidirectional flow from continuous broken symmetries Subscribers
15 eLife An applicable and efficient retrograde monosynaptic circuit mapping tool for larval zebrafish Subscribers

The papers Read free

PLOS Medicine·17 September 2026

Jingsong Luo, Ruiyi Liu et al.

More REM and deep sleep tied to lower risk for dozens of diseases in adults.

Sleep tracked by wristband devices links closely to future disease risk in a large group of adults. People who got more REM sleep and more deep sleep had lower risk for many diseases. People who slept less than 5 hours a night had the most health problems. Sleeping 6 to 8 hours a night was tied to the lowest disease risk overall.

The number 156 diseases

The number of diseases linked to differences in sleep stages, duration, or irregularity in this study.

Observational study of 95,559 people, no proof sleep causes disease risk.

Integrity screen: passed (3 checks) Checked 6 October 2026. Jingsong Luo, Ruiyi Liu et al., Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis Read the source

eLife·18 September 2026

Juan Bosco Gracia Alvira, Stefanie Migotti et al.

In fruit flies, warmth or cold decided which version of a gut bacterium won out.

Fruit flies naturally carry three different genetic types of one key gut bacterium. Scientists kept flies at two temperatures for more than 10 years and watched which type won out. Temperature strongly decided which type of bacterium thrived. This shows that tiny genetic differences within one bacterial species can matter as much as differences between species.

The number 10+ years

The length of time flies were tracked at two temperatures to see which bacterial subtype won.

Fruit flies only, lab conditions, not yet tested in other animals.

Integrity screen: passed (3 checks) Checked 22 September 2026. Juan Bosco Gracia Alvira, Stefanie Migotti et al., Environmental temperature is a strong driver of subspecies competition in the Drosophila microbiome Read the source

Nature Communications·19 September 2026

Tao Wu, Xiangyun Gao et al.

A computer model rebuilt missing data using shared patterns, even when 90% was gone.

A new computer method fills in missing data in complex time series. It looks at how one measurement's pattern moves over time and matches that shape to another measurement's shape. This lets it fill in gaps even when most of the data is missing. It worked on made-up test systems and real data like traffic, brain signals, money exchange rates, and wind speed.

The number 90% missing data

The amount of missing data the new method could still recover, if one variable stayed complete.

Tested on simulations and a few real datasets, not all data types.

Integrity screen: passed (3 checks) Checked 22 September 2026. Tao Wu, Xiangyun Gao et al., Dynamics-informed machine learning for recovering extensive missing systems dynamics Read the source

Nature Communications·19 September 2026

Ivo A. Hendriks, Sara C. Buch-Larsen et al.

A single lab-grown cell can now reveal up to 7000 of its proteins at once.

A new lab method can measure thousands of proteins in a single human cell. It works even on tiny immune cells taken straight from blood. The method found up to 7000 proteins in one lab-grown cell and up to 4000 proteins in single blood immune cells. This let scientists tell apart cell types like monocytes and T cells just from their protein patterns.

The number 7000 proteins

The number of distinct proteins measured inside a single lab-grown cell.

Lab cells and blood cells only, no patient disease data yet.

Integrity screen: passed (3 checks) Checked 22 September 2026. Ivo A. Hendriks, Sara C. Buch-Larsen et al., Extending single-cell proteomics from HeLa to small primary human immune cells Read the source

Nature Communications·19 September 2026

Ray Zirui Zhang, Christopher E. Miles et al.

In math models, a new method estimates hidden equation values and how confident it is.

Some science problems work backward: you see an effect, like a tumor's growth pattern, and must guess the hidden rules that caused it. A new computer method guesses these hidden numbers and also reports how confident each guess is. It pairs two steps: one step samples possible answers, and a second step quickly retrains a small neural network to check each guess, using far less computing power than older methods. Tests on math models, including one for tumor growth, showed the method gave accurate answers efficiently.

What it could change A faster way to estimate hidden values in physics equations and how sure each guess is.

Shown only on math models and simulations, including a tumor growth model, not real patient data.

Tested only on simulations, including a tumor model, not real patients.

Integrity screen: passed (3 checks) Checked 20 September 2026. Ray Zirui Zhang, Christopher E. Miles et al., Bayesian bilevel operator learning with low-rank adaptation for efficient uncertainty quantification of PDE inverse problems Read the source

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Nature Geoscience·18 September 2026

Rémy Pierru, Steeve Gréaux et al.