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Updates every hour. Last Updated: 17-Dec-2025 08:11 ET (17-Dec-2025 13:11 GMT/UTC)
Unveiling the blue carbon potential of coastal macroalgal beds in the SW Atlantic
Biochar Editorial Office, Shenyang Agricultural UniversityIn a pioneering study that explores the hidden carbon reservoirs of coastal ecosystems, researchers are quantifying the carbon stocks of macroalgal beds in the southwestern Atlantic Ocean. The study, titled "Carbon Stocks of Coastal Macroalgal Beds in the SW Atlantic," is led by Prof. Angelo Fraga Bernardino from the Departamento de Oceanografia at Universidade Federal Do Espírito Santo (UFES) in Vitória, Brazil. This research offers valuable insights into the role of macroalgal beds in carbon sequestration, highlighting their importance in marine protected areas.
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- Carbon Research
In-situ prepared plasmonic V2O3−x catalyst: Catalyzing CO2 reduction via surface plasmon resonance in near-infrared region
Tsinghua University PressThis study focuses on V2O3-x nanoparticles and systematically analyzes them as plasmonic solar-driven catalysts for the first time. It reveals that they exhibit the localized surface plasmon resonance (LSPR) absorption characteristics in the near-infrared regions. By integrating in-situ characterization and theoretical calculation results, the mechanism of in-situ generation of oxygen vacancies (Vo) in V2O3 under irradiation and subsequently transformed into catalytically active V2O3-x is elucidated. Furthermore, the process in which V2O3-x generates hot electrons and holes through plasmon damping is analyzed, as well as its excellent effects in increasing the local temperature, providing active sites, and enhancing the light absorption capacity. V2O3-x demonstrates excellent performance in the reverse water-gas shift reaction (RWGS), with a CO conversion rate of 668.48 mmol g-1 h-1, with a CO selectivity exceeding 99.9%, and long-term stability for 90 h, highlighting the great potential of metal oxide plasmas in solar-driven catalysis. This research provides crucial insights into enhancing the solar-chemical energy conversion efficiency by utilizing the synergistic effect of LSPR and intrinsic interband transitions..
- Journal
- Nano Research
How light-converting microneedle patches enable safe, precise & efficient phototherapy for psoriasis
Tsinghua University PressUltraviolet (UV) phototherapy is a widely used and effective dermatological treatment, yet its application has been limited by UV toxicity and challenges in targeted delivery. Upconversion nanoparticles (UCNPs), a novel photoluminescent nanomaterial capable of converting near-infrared (NIR) light into shorter-wavelength visible or UV light, hold promise for enabling NIR-driven skin phototherapy.
- Journal
- Nano Research
Amino acid pathway discovery offers new route to salt-resilient tomatoes
Nanjing Agricultural University The Academy of ScienceTomatoes, one of the world's most important horticultural crops, often struggle to grow in saline soils that limit yields and quality.
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- Horticulture Research
Does hurrying kill niceness? Not for everyone
SWPS UniversityPeople in a hurry are less likely to help a stranger in need. But does being in a hurry also reduce niceness? – researchers from the University of Warsaw and SWPS University wonder in the paper published in the Journal of Community & Applied Social Psychology. It turns out that this is not always the case, and the key to avoid it is mindfulness.
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- Journal of Community & Applied Social Psychology
Unveiling the Scale-dependent anomalous behavior of water under nanoconfinement
Tsinghua University PressWater behaves very differently when confined at the nanoscale, and understanding these anomalies is crucial for advancing catalysis, environmental technologies, and energy systems. A new study has investigated the mechanisms and scale-dependent behavior of confined water between Al2O3 layers, and identified a threshold range of 10 to 20 nm that marks the transition between confined and bulk water behaviors, offering guidance for the design of next-generation nanoreactors and interfaces.
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- Nano Research
Nonlinear aeroelastic study of a three-degrees-of-freedom airfoil with control surface hysteresis stiffness in a dynamic stall flow
Tsinghua University PressHigh altitude long endurance aircraft, benefitting from excellent aerodynamic performance and dwell time, could suffer aerodynamic and structural nonlinearities during severe environments. These coupled nonlinearities can result in unfavorable aeroelastic responses, posing a potential threat to structural integrity and flight safety. Most studies focused only on aeroelastic systems with isolated structural or aerodynamic nonlinearity. It is necessary to fill this research gap since coupled nonlinearities can cause significantly different aeroelastic signatures that cannot be captured in an isolated nonlinear case.
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- Chinese Journal of Aeronautics
High-sensitivity omnidirectional recognition strain sensor based on two-dimensional materials
Tsinghua University PressInspired by the natural spider web structure, this study innovatively designed an omnidirectional strain sensor array with a bioinspired spider web configuration. Using Ti3C2Tx (MXene) conductive ink and 3D printing technology, the sensor array was successfully fabricated. The strain sensor array leverages the isotropic strain response characteristics of the spider web structure, combined with a multi-class multi-output neural network, to achieve signal decoupling of the sensor array, enabling accurate identification and differentiation of both strain direction and magnitude. Within the 0-10% strain range, the sensor demonstrated a gauge factor (GF) of 26.3, with an identification accuracy of approximately 97% for strain magnitude and direction under various surface stimuli. This research provides a novel approach for achieving both high sensitivity and reliability in strain detection, demonstrating potential applications in human motion monitoring and multi-directional stress sensing. Furthermore, it offers promising prospects for applications in intelligent robotics and wearable health monitoring devices.
- Journal
- Nano Research
AI-powered image generation sharpens accuracy in crop disease severity assessment
Nanjing Agricultural University The Academy of ScienceA research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf disease severity, a key step toward precision agriculture.
- Journal
- Plant Phenomics