As glaciers shrink, a major study reveals remarkable biodiversity across the world’s glacier-fed streams, providing a global reference for future climate-change microbiology studies on this vanishing ecosystem.

An image analysis technique shows that crustal damage from an earthquake can extend further than expected with implications for slip rate estimates and hazard assessment.

Sediment-core analysis highlights clear shifts in regional phytoplankton community trends following urbanization and industrialization on the coast of the Arabian Gulf.

Insight into how photoexcited biomass-burning organic aerosols boost sulfate formation could help control wildfire-driven air pollution.

A physically consistent and self-adaptive numerical modelling approach opens the door to more accurate and reliable computational simulations of clinical and biological processes.

An adaptive capacitor that can sense and learn through optical stimuli enables learning and recognition tasks.

The chemical industry could dramatically cut its energy consumption by using machine learning to guide chemical purification protocol selection.

A habitat suitability study suggests that two stony coral species may form significant deep-sea frameworks across the northern Red Sea and Gulf of Aqaba.

Reliable and standardized ocean temperature monitoring is crucial for advancing our understanding of coral survival and guiding restoration efforts.

EZH1 steadies gene-reading machinery and adjusts DNA packaging, ensuring genes activate on time to maintain 24-hour rhythms.

Understanding how diseases trigger one another could lead to better treatments, prevention strategies and improved genetic risk prediction.

Rather than just burning natural gas as a fuel, a mild new method could turn it into a valuable chemical commodity.

A computer model that factors in extreme weather events offers insights to improve the design of NEOM’s integrated renewable power, water and heating sectors.

Cascade engineering suppresses background noise to boost the sensitivity of X-ray imaging detectors.

Climate research highlights future warming scenarios for the Arabian Peninsula.

Nanofiltration membranes with bespoke porous architectures enable ultra-selective and energy-efficient separation of complex mixtures.

Highly complex MOF materials made for sustainability applications such as carbon capture can be rationally devised using a new "merged nets" design framework

High-speed cameras show that vortices generated in turbulent fluids are more predictable and less chaotic than expected.

Understanding hydrogen sulfide decomposition provides a design strategy to improve catalyst activity.

Coral reef restoration is a vital tool for protecting these vital ecosystems.

Hexagons of hexagonal boron nitride join up to form two-dimensional insulator for next-generation electronic devices.

A much-hyped new theory that purports to provide a universal explanation of natural phenomena merely repackages existing theoretical tools.

Multiple strategies for improving the stability of organic solar cells will be needed to make the technology more commercially viable.

Automated system could be used to spot toxic emissions, air pollutants or diagnostic biomarkers.

Higher temperatures have increased drought frequency and intensity over the last two decades, but the trend could be reversed in the next 20 years.

An unconventional 2D ferromagnet might enable smaller and more reliable devices for data storage.

Interdisciplinary collaboration across all sectors is needed to build a sustainable urban future.

Plastic pipes installed in deep water could stockpile gas, helping the world move away from fossil fuels.

Mangrove soils are affected by the accumulation of plastic waste, but they may also hold a key to reduce its environmental impacts.

A resonator that enhances ultrasound waves in water could aid underwater communication.

Two new designs of narrow-linewidth semiconductor laser offer high-performance light sources for use in sensing and metrology.

New statistical approach enables fast approximations of global surface temperatures at unprecedented spatial and temporal resolution.

Hybrid 3D printing helps to create adhesive textures for a highly adhesive and reusable biopatch that monitors health.

A device that remembers its electrical past can be used to create low-power and ultrafast switches for next-generation radiofrequency signals.

Hybrid perovskites are shown to have record-breaking stability and performance.

A self-powered system that combines high-speed data transfer with continuous energy harvesting is set to revolutionize the Internet of Things.

A selective thermal oxidation that eliminates damage to sidewalls is set to enhance micro-LED efficiency.

Finding a balance between the needs of shark fishers and the risk of unsustainable fishing is critical to the future management of small-scale shark fisheries.

An integrated mathematical framework vastly improves the modeling of cyclones and tornadoes.

The complex history of the bread wheat D genome demonstrates the potential of wild relatives in crop improvement.

The key to achieving greatly increased capacity and efficiency in semiconductor technology could be to build upwards, in vertical stacks of thin film transistors. © 2024 KAUST

An automated scheme for optical lens design looks set to enhance mobile phone cameras.

Drier climate and livestock grazing pressure jointly help to shape the diversity of plant traits in drylands worldwide.

Viral RNA elements induce controlled inflammation to trigger bone repair, which could be used to treat osteoporosis and other diseases.

Beneficial bacteria localize and flourish within coral tissues, boosting resilience to heat and other stressors.

A method for forecasting high-dimensional functional time series could improve the accuracy of mortality predictions across multiple populations.

A new solar-powered system efficiently extracts moisture from the air, offering a sustainable solution for irrigation.

An efficient long-read sequencing technique that searches for complex genomic variants provides accurate molecular diagnosis for genetic disorders within hours.

A better understanding of the dynamics of large water droplets falling into water has potential applications from fuel injection systems to climate models.

An innovative use of screen printing to assemble the key components of wet ECG electrodes enables remote monitoring at extended range and improves the experience for patients and healthcare staff.

Improved understanding of the salt- tolerance mechanism in salt-loving plants could help progress seawater-based agriculture.

A new analytical technique enables reassessment of plate boundaries and improved slip rate estimations along the Dead Sea Fault.

A new way to utilize a greenhouse gas can enhance the efficiency and stability of carbon dioxide hydrogenation.

Chemical model could help to produce clean fuel from natural gas contaminant.

A detailed oceanographic survey reveals spherical nodule structures supporting life on the floor of the Red Sea.

Manipulating DNA repair pathway boosts the accuracy of CRISPR technology.

Transparent solar cells utilize non-fullerene acceptors, merging efficiency with aesthetics for urban design transformation.

An open-access catalog of the global ocean genome offers novel taxonomical and functional insights and unlocks the potential of blue biotechnology

Combining traditional silicon with perovskite materials offers higher efficiency solar cells, but further innovation is needed to make them commercially viable.

Platform for identifying genetic variation in plant species could aid in crop improvement and sustainable agriculture.

Protocol boosts regenerative capabilities of stem cells previously wasted in transplant medicine.

Complex patterns of motion emerge when water drops condense on an oiled surface.

Analysis of seed endophytes in the wild crop fonio reveals the seed microbiome as a potential target for sustainably enhancing crop resilience to climate stress.

Brain-like computing could be possible using electrical memory devices made from an unexpected material.

Artificial skin coupled with sensors and machine learning technology allows people with voice disorders to communicate using soundless mouth movements.

Powered by logic and large language models, DeepGO-SE predicts the biological role of proteins and could be used to aid drug discovery.

An integrated shuffler optimizes the privacy of personal genomic data used for machine learning.

Analyses of sediment cores highlight declining nutrient availability and increased trace metal pollution in the Red Sea.

Researchers propose a pathway to create sustainable greening initiatives in the Middle East using existing technologies.

Bio-inspired membrane materials from fungi mycelium are set to revolutionize separation technologies.

Inspired by large language models that power ChatGPT, an AI algorithm offers a new way to annotate cells.

Algorithm creates tessellating triangular pieces to build physical replicas of structures such as cells or viruses.

An open-source, automated and cost-effective platform for COVID-19 diagnosis and analysis of genetic variants can be built from readily available materials, with big possibilities on the horizon.

A systematic analysis of sex differences in mortality of young people up to the age of 24 will help policymakers address key disparities and reduce preventable deaths.

A superabsorbent film promises ecofriendly cooling solutions against heat stress and global warming.

Better understanding of the roles of plant hormones could help to engineer advantageous traits into rice and other crops.

An emerging conservation strategy could help wildlife to become more resilient against a range of environmental threats.

A neural network-based approach offers an extremely fast and highly accurate alternative to the "gold standard" of likelihood estimation for statistical modeling of complex datasets.

A simple yet elegant solution could improve data rates for multiple communications networks that share a common frequency band.

Systems that combine multiple spectroscopy and reactor technologies can bring a more accurate image of catalysts.

The efficiency of tandem solar cells is boosted with improved optical design and a careful selection of the material that connects them together.

Multicomponent mixtures could provide organic solar cells that defy heat and achieve record efficiency.

An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations.

A "deep" many-layered neural network does the heavy lifting in calculating accurate predictions from large complex environmental datasets.

Solid-state radiofrequency reflectors will enable seamless wireless connectivity in the Hyperloop evacuated-tube transport system.

Long-term satellite data shows a significant cooling effect of vegetation on land surface temperature.

The molecular structure of organic semiconductors is key to the outdoor stability of organic solar cells.

Uncovering PfAP2-P’s role in parasite's immune evasion and development, opening doors to innovative anti-malaria approaches.

The ability of marine microbiomes to respond to thermal variations in their habitats is controlled by enzyme adaptation.

An efficiency upgrade for an already fast approximation method enables accurate near-real-time modeling of complex systems and large datasets.

Air cavities forming around skipping buoyant objects could help reduce drag and enhance underwater maneuverability.

Skin organoids offer a powerful platform for drug discovery in the ongoing fight against the virus formerly known as monkeypox.

Comparison of different nuclear magnetic resonance spectroscopy methods has helped to identify the most robust approach for studying different types of biomolecules.

An innovative AI-based tool leverages varied symptom descriptions, along with evidence from the scientific literature and genomic datasets, to pinpoint disease-associated gene variants.

New research into how humans and animals use complexity to make decisions offers some tantalizing insights into the nature of intelligence.

A residual-based approach that detects and corrects voltage and frequency anomalies could protect power grids against covert cyberattacks.

Hydrogels that mimic natural environments help to reveal cellular intricacies often missed in traditional lab studies.

Metal-organic frameworks with designer windows show exceptional gas storage capability.

A data-driven modeling system that reconstructs oceanic circulation of the Red Sea highlights the importance of developing region-specific historical datasets.

Marine ecosystem models should account for vast fluctuation in dissolved oxygen.