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Impacts from a climate event can cascade through natural, anthropogenic and socio-economic systems. Here the authors assess cascading climate impacts on the EU and identify intervention points for adaptation related to water, livelihoods, agriculture, infrastructure and economy, and violent conflict.

Rising seafood demand strains fish stocks, risking ecosystem collapse. Using a dynamic food-web model, we compare fishing strategies. Targeting mid-trophic species yields sustainable returns with minimal biodiversity loss, guiding ecosystem-based management.

This study of 89 multinational firms finds no significant link between voluntarily offsetting emissions and decarbonization speed. Firms spend little funds on carbon credits, and emission offsetting is not a central part of their climate strategies.

MetaGraph enables scalable indexing of large sets of DNA, RNA or protein sequences using annotated de Bruijn graphs.

Standardisation of working with 3D cell cultures in high-content screening (HCS) approaches remains difficult. Here, the authors propose HCS-3DX, a system for HCS of 3D tumour models at single-cell resolution by combining micromanipulation, custom multi-well plates, advanced imaging and AI-based analysis.

Direct CO₂ conversion into high-value organic products faces significant selectivity challenges. This work presents a FeCo carbide-based tandem catalyst enabling high-efficiency, stable production of C2+ alcohols.

Many trajectories for reaching climate change mitigation targets exaggerate the long-term need for CO₂ removal (CDR) because they assume an exponentially increasing carbon price. Here the authors analyse alternative carbon price pathways that halt warming while limiting CDR, and may be easier to implement.

Multiple energy system models are used under jointly adopted deep decarbonisation scenarios to conclude that the direct penetration of electricity and hydrogen in final energy consumption may rise to shares of, respectively, 60% and 6%, in Europe by 2050.

The phenomenon of Enteromorpha prolifera (EP) flooding caused by marine eutrophication has resulted in serious environmental impact. Here, the authors demonstrate an application of Fenton’s reagent in the rapid recovery and utilization of EP.

Enzymatic recycling is an emerging technology to circularize the ubiquitous polyester poly(ethylene terephthalate). Here the authors evaluate and implement multiple process changes to improve the scalability and viability of this recycling technology. Process modeling demonstrates that these changes could enable cost competitiveness and greatly reduce overall life cycle impacts.

Upcycling urine in wastewater for nitrogen and phosphorus production has gained attention, but their low market values hamper the application. Here, the authors develop a yeast platform that mimics osteoblast mechanisms to produce the high-value hydroxyapatite directly from urine.

The cost of transporting agricultural products from the field to consumers across borders, also known as the landed cost, is highly influenced by trade frictions and regional cost differences. This study estimates this cost—including production, transport and trade components—for six grain commodities across 3,500 administrative regions, revealing large inequalities in access.

Achieving phosphorus circularity is a key challenge to realizing sustainable phosphorus use, and recycling is a major route to accomplish this goal. This Review explores global barriers to phosphorus recycling and discusses approaches to overcome the technical, economic and societal challenges in attaining sustainable phosphorus management.

Conventional chemical engineering has limitations on heat transfer, leading to large setups. Here, authors propose a distributed electrified heating method, realizing fast and uniform heating of gaseous reactants, promising an energy-concentrated and compact reactor design.

A geospatial levelized cost model shows that green hydrogen imports from Africa to Europe remain uncompetitive without major policy support. De-risking policies and strategic site selection are key, but major risks remain.

Decarbonizing the European ammonia industry: Less stringent emissions caps for electrolytic hydrogen production can significantly reduce costs and land use while still achieving more than 90% reduction in emissions relative to fossil-based hydrogen.

People living in rural areas of the United States have poorer outcomes from acute COVID-19. Here, the authors show that higher mortality rates among rural dwellers persist for up to two years after the initial infection, even after accounting for baseline risk factors.

Carbon pricing policies are adopted in many countries around the world to mitigate climate change. This systematic review shows that significant emission reductions of between 5 and 21% are achieved by at least 17 out of 21 reviewed policy schemes.

The decarbonization of energy systems requires access to minerals that are critical for manufacturing low-carbon technologies. Here researchers show that meeting climate targets could be impeded by material shortages, revealing the importance of diverse solutions that balance mitigation, equity and resource constraints.

Sodium-ion batteries are considered a promising substitute for Li-ion, but the timeline and conditions for achieving cost-competitiveness remain uncertain. This study evaluates their techno-economic potential, showing that while challenging, they could compete with low-cost Li-ion batteries by the 2030s under specific conditions.

The production of ammonia-based nitrogen fertilizers, key to food production, is highly concentrated and therefore susceptible to price volatility and supply chain disruptions. This study examines the cost-competitiveness of a decentralized ammonia industry with low-carbon ammonia production using small modular technologies, such as electric Haber–Bosch or electrocatalytic reduction.

A new study of low-carbon value chains of basic materials (steel and chemicals) demonstrates how regional differences in renewable energy prices may lead to a global relocation of energy-intensive production.

This study demonstrates how land-based carbon removals and the market-mediated responses are sensitive to mitigation policy strength and scope, illustrating that, despite trade-offs, both forestation and BECCS are integral to cost-effective 2 °C pathways.

Achieving the Paris Agreement’s climate goals depends on safeguarding and monitoring the permanence of forest carbon stocks, as delays in addressing their vulnerability to disturbances drastically increase mitigation costs and efforts.

This analysis of net-zero strategies designed in an iterative stakeholder dialogue finds that without behavioral change and with restriction of technologies, the target of greenhouse gas neutrality in the European Union cannot be reached.

Here the authors present a method to transform polygenic scores into disorder probabilities using only GWAS summary statistics, genotype data and a prior - no tuning sample is needed. The method enables individualized, well-calibrated predictions.

This study shows that while deep building renovation could reduce carbon emissions, it increases material use and costs. Circular strategies help reduce primary material demand, but incentives are needed to make renovation economically viable.

Quantum spin chains can be represented in several ways, and eigenstates in these dual models have different entanglement structures. By characterizing the dual theories, the optimal tensor network algorithm for simulating the models has been found.

Results show meaningful variations in electric vehicle costs and emissions benefits across the United States, differing by vehicle category and charging systems: Direct Current Fast Charging, Battery Swapping, and Dynamic Wireless Power Transfer.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

Sleep loss has been known to increase seizure risk since antiquity, but the underlying mechanisms remain unclear. Using fruit-fly epilepsy models, the authors show that rising “sleep drive”, not sleep duration, is what triggers seizures.