A study analyzing bat samples from the Indochina Peninsula identified 137 viral strains across 27 families, including novel species, with Rhinolophidae bats exhibiting high viral diversity. PEDV-related viruses were found in Cambodian bats, further supporting their potential evolutionary source.
A new perspective argues that European steel's green industrialisation pathway and Africa's steel development are intertwined solutions. Hydrogen-based direct reduced iron (H2-DRI) production in Africa can provide a lower-cost alternative for European steelmakers, while supporting developing countries' economic growth.
A new interface structure design inspired by traditional Chinese mortise and tenon structures improves the mechanical properties and thermal shock resistance of Cf/(HfNbTaTiZr)C-SiC composites. The resulting composite exhibits higher flexural strength and fracture toughness compared to samples without the mortise-tenon structure.
The study reveals that rubber-modified ECC displays notable tensile ductility within the sub-high temperature range of 70–100°C, with the highest ultimate tensile strain observed at 100°C. Microstructural analyses attribute this enhancement to moderate matrix degradation, fiber softening, and improved fiber pull-out behavior.
The K-ETS has matured into a stable policy instrument with robust institutional infrastructure. Market trading volume expanded significantly, but price stability remains a challenge. Policy reforms aim to strengthen price stability and align the emissions cap with Korea's NDC.
Research investigates vortex-induced motion in semi-submersible FOWTs under varying incidence angles, revealing the influence of structural components on wake dynamics. The study's findings suggest optimizing platform design to reduce fatigue and enhance operational stability.
SPH simulations provide physically consistent insights into flow dynamics, impact forces, and affected areas in catastrophic hazard scenarios. High-quality visualization enables intuitive representations that support emergency planning and decision-making.
A new approach combining Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT) enables accurate damage localization even with a limited number of sensors. The method reduces costs while improving detection accuracy, supporting broader implementation in real-world bridge health monitoring.
The inaugural issue of SES features an editorial, review articles, and research papers on frontier topics such as fire risk assessment and AI-enabled emergency technology upgrading. These studies provide valuable insights for academia, industry, and policymakers.
A new study from Tsinghua University and Beijing Tiantan Hospital demonstrates a strategy to deliver therapeutic materials directly to the brain, bypassing the blood-brain barrier. Researchers 'hijack' immune cells in the skull bone marrow to transport nanoparticles into the brain, achieving efficient delivery for stroke treatment.
The Journal of Intelligent and Connected Vehicles is transitioning to an open-access platform on SciOpen, providing barrier-free access to cutting-edge research. The journal aims to foster greater global collaboration and leverage modern publishing infrastructure.
The field of food and medicine homology is shifting towards a modern, precision-driven scientific discipline by 2026. This will be achieved through the establishment of a robust evidence-based system, coupled with strategic utilization of technologies like AI, multi-omics, and synthetic biology.
A study in the Indochina Peninsula analyzed bat viromes from 197 bats across 16 species, identifying 137 viral strains, including a PEDV-related virus in Cambodian bats. The findings highlight critical surveillance gaps and emphasize the need for enhanced cross-border initiatives to prevent zoonotic outbreaks.
The journal will be published on SciOpen, a platform dedicated to high-quality open research dissemination. Starting Jan 1, 2026, all new submissions must be directed through the journal's submission portal.
Researchers identified a distinct population of activated CD38+ HLA-DR+ CD8+ T cells that expands in patients at risk for acute graft-versus-host disease (aGVHD). Tracking this subset can predict disease onset and guide treatment, with targeted therapy offering a promising avenue for precise intervention.
A new strategy for parallel adaptive Cartesian grid generation is introduced, combining features of generated grid cells and estimating iterations needed. This approach significantly speeds up grid generation using the same number of cores, improving computational efficiency and scalability.
A novel parameterization method for orbits near collinear libration points has been developed, allowing for systematic cataloging and robust identification of cislunar objects. The method enables the characterization of motion along two directions, providing critical insight into spacecraft maneuvers and transfer events.
A new study examines behavioral mechanisms of rural distributed photovoltaic development, finding that collaboration between PV enterprises and village organizations is key to expanding adoption. The research also highlights the importance of balancing self-consumption requirements with grid capacity constraints.
Researchers have developed a refined mouse model that mimics chronic Pseudomonas aeruginosa lung infection in old age, overcoming limitations in experimental respiratory infection research. The agar bead-based delivery strategy allows sustained observation of infection dynamics, tissue damage, and immune responses in aging lungs.
The double swept waverider demonstrates outstanding comprehensive performance through numerical simulation verification. It maintains an ideal longitudinal static stability margin of approximately 2%, laying a solid foundation for practical engineering applications.
A new global modeling study introduces a differentiated carbon pricing mechanism to coordinate regional carbon prices with cost-fairness. This approach helps raise climate ambition by reducing trade and welfare imbalances, particularly for energy-intensive and trade-exposed industries.
Materials and Solidification journal focuses on original research on solidification of various materials, including metals, semiconductors, and polymers. The journal covers topics like solidification processing, non-equilibrium phenomena, and multi-physical fields.
A team of material scientists created a machine learning model that predicts gas-sensing performance using first-principles calculations. The model achieved a prediction accuracy of 96% in five-fold cross-validation and F1 scores of 1.000 and 0.933 in independent test sets.
Recent progress in designing lighter, faster, and more resource-efficient multimodal AI systems is highlighted in a comprehensive survey. Vision token compression techniques and emerging architectures like mixture-of-experts selectively activate model components to increase capacity without proportional increases in computation.
Research reveals that the hexosamine biosynthetic pathway promotes O-GlcNAc glycosylation of SNAP25, enhancing SNARE complex assembly and facilitating exosome release. Elevated glucose availability increases SNAP25 O-GlcNAcylation levels, strengthening its interaction with other SNARE partners.
Researchers have developed electrocatalytic glycerol oxidation (GOR) technology to convert waste glycerol into valuable chemicals. The process offers an energy-efficient alternative to traditional oxygen evolution reaction, producing high-value products like dihydroxyacetone and glyceric acid.
Researchers developed a comprehensive review on magnetic coupling technologies for efficient and robust underwater wireless power transfer. Optimized electromagnetic structures and control schemes improve power transfer efficiency and operational reliability for autonomous underwater vehicles.
Researchers propose a comprehensive framework for marine digital twin systems to overcome challenges in data interoperability, prediction accuracy, and decision-making. The framework enables real-time monitoring, simulation, and optimization in marine engineering processes.
Research on organophosphonate covalently modified polyoxometalates reveals the synthesis strategies, structural design, and performance characteristics of organic-inorganic hybrid materials. These materials exhibit broad applications due to their redox activity, structural tunability, low toxicity, and high stability.
The study synthesized organic–POM hybrids based on berberine, which exhibited distinct antiviral effects against EMCV. BR-EuSiW was found to have dose-dependent antiviral ability, possibly acting at the virus biosynthesis stage to inhibit proliferation.
A study led by Dr. Zhao identified key molecular mechanisms driving human scalp aging, including the decline of hair follicle stem cells and altered signaling pathways. The research offers potential pathways for future drug development and sheds light on the causes of age-related pigment changes.
Researchers at National University of Singapore used machine learning models to predict traffic congestion in Alameda County before, during, and after the pandemic. The study found that Bi-LSTM models were more accurate than traditional forecasting tools and provided transparent insights into the drivers of congestion changes.
A new framework for ride-pooling addresses low matching efficiency and promotes flexible cooperation. The multi-level coalition formation game framework consistently improves vehicle utilization, reduces travel costs, and fosters cooperation in diverse regional contexts.
Researchers developed PriorFusion, integrating semantic, geometric, and generative shape priors to improve road element perception in complex urban scenarios. The method outperforms state-of-the-art methods in difficult scenarios like intersections and occluded areas, achieving an overall mAP of 70.4%.
A new framework, MARL-OD-DA, offers a promising answer to making AI truly scalable and reliable for real-time traffic assignment. The approach redesigns learning agents at the origin–destination level, utilizing Dirichlet-based continuous actions to achieve stable and high-quality solutions under dynamic travel demand.
A team of researchers proposes a novel attention-based graph neural network to estimate network-wide traffic flow across multiple cities. The model leverages correlations between road traffic flow and urban characteristics, such as building structures, human activity, infrastructure connectivity, and dynamic traffic conditions.
Researchers have developed a new additive, 2-FBSA, to address interfacial challenges in lithium metal batteries. The additive regulates both electrode interfaces effectively, accelerating Li+ transport kinetics and improving battery cycling stability. This results in prolonged battery lifetime and outstanding capacity retention.
A new study by Tsinghua University Press presents a highly integrated, stretchable sensor array capable of detecting pressure, strain and inferring material hardness. The system achieves 100% classification accuracy in classifying fruits with different hardness levels and maturity stages.
Researchers at Tsinghua University Press propose integrating AI technology into launch vehicles to address challenges of high-frequency launches and reliable flights. The system aims to achieve hour-level test, inspection, and decision-making times for large launch vehicles.
Researchers have developed a new strategy for enhancing photocarrier dynamics by constructing a 2D-3D In2O3 homojunction, leading to high-performance and fast UV photodetection. The 2D-3D homojunction boosts carrier separation efficiency, interfacial charge transfer, and self-powered capability.
Researchers identify S-nitrosylation of USP16 as a key driver of cardiac injury after coronary microembolization. This process disrupts antioxidant regulation by destabilizing KDM1A, leading to impaired GSH synthesis and worsened oxidative damage.
Researchers developed novel fluorescent diatomite-based carbon dot composites for dual-mode high-resolution imaging of latent fingerprints. The synthesized Dye-CDs exhibited high photostability and selectivity in daylight and fluorescence visualization.
Researchers identified multiple well-supported clades corresponding to known genera and detected previously unrecognized lineages. They described two new genera and three new species, including Proxiconiothyrium yunnanense and Periconia longibrachiatum, expanding knowledge of Pleosporales diversity.
The study found that upper and lower tooth germs exhibit distinct transcriptomic profiles at the cap stage, with maxillary-enriched genes associated with morphogenesis and lower-enriched genes linked to mineralization. The researchers also validated key findings using RT-qPCR and immunofluorescence staining.
The study refines the 3-PG model by adding a carbon storage pool, allowing it to account for the 'carry-over effect' in tree growth. The updated model achieves stronger agreement with observations and improves predictions of annual variations in tree-ring widths.
Researchers developed a simple mechanochemical strategy to modify hexagonal boron nitride flakes using liquid metal, achieving high-efficiency EMW absorption and thermal conductivity in a single composite. The optimized composites exhibit excellent performance in electromagnetic wave attenuation and heat dissipation.
Researchers found that thinning adjusts competition, maintaining forest productivity over time. Thinning levels the playing field, weakening large trees' dominance and giving smaller ones a chance to catch up.
Research reveals beech trees adjust roots to short-term changes in soil moisture, improving drought readiness and survival in fluctuating environments. Fine root traits vary more in upper 10 cm of soil due to nutrient availability.
A team of scientists has developed a novel Tb3+-doped glass scintillator that exhibits zero-thermal-quenching luminescence and excellent scintillating performance. The material shows improved thermal stability and high X-ray absorption capacity, making it suitable for use in extreme scenarios.
Researchers developed a hybrid estimator that uses probability-based sampling to work directly with available data, generating reliable estimates for forest attributes. The method achieved a sampling precision of over 90% and was comparable in efficiency to conventional model-based methods using superior Sentinel-2 data.