Gas hydrates have promising energy storage applications, a main bottleneck being their slow formation kinetics. Here, the authors demonstrate that by dispersing kinetic promoters in porous ice as active ice for gas hydrate formation, a minute-level formation process can be achieved for hydrate-based technologies.

Understanding the degradation mechanism of organic light-emitting diodes is essential to improve device performance and stability. Here, authors present a high-resolution diagnostic method to obtain molecular information with 7-nm depth resolution and analyse devices at different degradation levels.

The researchers showcase all-crystalline and hybrid mid-infrared supermirrors with the lowest optical losses ever demonstrated in this wavelength range, representing an unprecedented improvement over any existing mirrors made with any production technology.

Molecular twist is a characteristic component of molecular machines. Here the authors report a kinetically selective synthesis of tightly- and loosely-twisted isomers of a trinuclear Pd-macrocycle and their markedly different molecular behaviours.

Type II polyketide synthases (PKSs) normally synthesize polycyclic aromatic compounds, but the potential for the synthesis of further diverse skeletons remains under investigated. Here, the authors report the discovery of the type II PKS machinery for the biosynthesis of a five-membered nonaromatic skeleton contained in the nonproteinogenic amino acid cispentacin and the plant toxin coronatine.

Deciphering the relationship between prolonged topographic growth and temporary earthquake uplift is challenging due to the mismatch in their deformation patterns. Zhang et al. introduce a novel model to address this highly hotly-debated discrepancy.

A characteristic of costal-pelagic fishes is their large population size fluctuations, yet the drivers remain elusive. Here, the authors analyze a 45-year timeseries of nitrogen stable isotopes measured in larvae of Northern Anchovy and find that high energy transfer efficiency from the base of the food web up to young larvae confers high survival and recruitment to the adult population.

Forecasting ecology can support proactive decision-making in the face of uncertain environmental conditions. Using case studies on whale entanglement and sea turtle bycatch, this study showcases the capacity for existing management tools to transition to a forecast configuration and provide skilful forecasts up to 12 months in advance.

Research on electrochemical nitrate reduction to ammonia in acidic conditions has been less extensive than that conducted in alkaline conditions. Here, the authors report a hybrid of iron phthalocyanine and TiO₂ catalyst with improved efficiency toward acidic nitrate reduction and its application in Zn-nitrate batteries and high-voltage pollutes-based fuel cell.

Unsorted retired batteries pose recycling challenges due to diverse cathodes. Here, the authors propose a privacy-preserving machine learning system that enables accurate sorting with minimal data, important for a sustainable battery recycling industry.

Pathogenic variants of DDX3X are associated with neurodevelopmental disorders (NDD) and cancer. Here, the authors perform saturation genome editing of DDX3X to test the functional impact of 12,776 variants, develop a machine learning classifier to identify variants relevant for NDD, and show that DDX3X predominantly acts as a tumour suppressor in cancer.

The ability of T cells to migrate is a central component of their functionality and is known to require WNK1 kinase that is linked to the influx of ions into the cell. Here the authors show that T cell migration requires WNK1 mediated ion and water influx to swell the membrane of the leading edge and support actin polymerisation and forward motility.

Despite advances in GPCR structures and peptide design, creating high-affinity ligands remains a challenge. Here the authors develop a computational method, successfully identifying peptide-based molecules for KOR: their platform shows promise for streamlined GPCR ligand discovery.

A systemically administered peptide (CARSKNKDC) that homes to injured tissues, has inherent ability to promote wound healing. Here, the authors show that this peptide binds to syndecan-4 and activates ARF6 to trigger re-epithelialisation and the naturally occurring wound repair pathway.

Ecosystem services provided by dung beetles are an underappreciated component of terrestrial ecosystems. Here, the authors report a standardized distributed experiment which shows that dung removal rate, a key ecosystem process in pastures, is greater under high beetle functional diversity regardless of grazing intensity.

A systemically administered peptide (CARSKNKDC) that homes to injured tissues, has inherent ability to promote wound healing. Here, the authors show that this peptide binds to syndecan-4 and activates ARF6 to trigger re-epithelialisation and the naturally occurring wound repair pathway.

Gene editing strategies for cystic fibrosis are challenging. Here the authors improve on their previously reported shuttle peptide noncovalently combined with Cas ribonucleoprotein (RNP), and derive the S315 peptide for delivery: they show base editing in the respiratory tract of the rhesus macaques.

In patients with CKD, there is an unmet need for biomarkers that reliably track kidney injury. Here, in a series of prospective studies, the authors show that retinal OCT metrics reflect kidney injury, are modified by treatments for kidney disease and can predict future decline of kidney function.

Most genetic studies for prostate cancer have been performed outside the context of Sub-Saharan Africa. Here, the authors interrogate 247,780 exomic variants for 798 Black South African men and identify genes associated with aggressive disease.

The authors use lipid nanoparticles (LNPs) that predominantly accumulate in the lung to deliver mRNA encoding for the broadly neutralizing antibody 8-9D, and achieve superior inhibition of SARS-CoV-2 infection in mice compared to control LNPs.

The emissions pathways of most publicly traded companies in high-emitting sectors are not aligned with the climate targets of the Paris Agreement. An extensive analysis of companies’ sustainability behaviour offers insights into why this is the case.

Most inhabited areas in the US have more mass in buildings and mobility networks than in plant biomass. Cities are comparably resource efficient, while high material intensity is found in rural areas. Migration reinforces this phenomenon as people leave while built structures remain.

Risk of isolation is expected to disproportionately affect racial minority populations in the U.S. as sea level rise increases. Communities with more renters, older adults, and lower-income populations will also be impacted.

A new study explores the global feasible supply of steel and cement within Paris-compliant carbon budgets, explicitly considering uncertainties in the deployment of infrastructure and it shows that feasible supply may fall short of expected global demand.

Social networks often segregate based on political identities. We show that such segregation is reduced when people know how others behave towards those from their outgroup and ingroup