Researchers developed a novel ratiometric SERS platform using dual bioprobes for stable detection of circulating tumor cells (CTCs). The platform achieved a low limit of detection, minimal relative standard deviation, and high cell viability, offering a new strategy for sensitive CTC detection.
Researchers describe how oral nanomaterial formulations overcome conventional drug limitations in gastrointestinal disease treatment. Non-metallic nanomaterials, such as selenium nanoparticles, show better biocompatibility and tunable biodegradability.
Researchers developed an AI model that learns from real-world match data to optimize attacking play against compact defensive structures. The framework models each attacking player as an individual decision-maker while capturing how players interact as a coordinated unit.
The study identified a critical boron transporter gene, BnaC3.BOR1, which regulates boron distribution and tissue-level homeostasis in Brassica napus L. Null mutants exhibited heightened sensitivity to boron deprivation, leading to stunted growth and yield loss.
Researchers from South China University of Technology reconstructed the path and intensity of a devastating EF3-level tornado that occurred in Guangzhou, China on April 27, 2024. The study used a combination of UAV remote sensing, ground-based surveys, and mesoscale numerical simulation to analyze the tornado's damage mechanisms.
Researchers discover a key mechanism by which free fatty acids induce apoptosis of bovine mammary epithelial cells, leading to decline in milk yield and mammary gland dysfunction. ER stress pathway is identified as a critical mediator linking elevated FFA to cell death.
Researchers developed a novel tribovoltaic effect-based strategy for human motion energy harvesting, enabling stable direct current output and simplifying system design. Advanced device designs enhance flexibility, durability, and adaptability to complex human motions, making it suitable for wearable applications.
The GlycoHBF dataset maps protein and glycosylation landscapes across 15 human body fluids, providing a crucial reference framework for research. The study establishes the baseline molecular profiles of healthy and non-malignant body fluids, enabling differentiation between normal physiological variation and pathological changes.
The new guideline provides evidence-based recommendations for 26 diseases, including pigmentary disorders and skin rejuvenation. The guideline aims to standardize clinical practice in laser and aesthetic medicine, improving treatment outcomes and safety.
A study analyzing 2,668 angiosperm species found that evolutionary relationships explain the largest share of variation in fruit volume. Climate influences this pattern, with temperature modulating phylogenetic constraints on fruit volume in different plant groups.
The study reveals that rising temperatures are accelerating permafrost thaw and glacier retreat on the Tibetan Plateau, forming thermokarst lakes that release ancient, long-frozen carbon as potent greenhouse gases. The research highlights the urgent need for typology-based management strategies to mitigate these emissions.
A team of researchers designed a bismuth-coordinated melanin material to shield against radiation and alleviate acute radiation syndrome (ARS), with promising results in mouse experiments. The material showed stronger shielding and antioxidant effects, improving survival rates from 20% to 60%.
Researchers from China have successfully demonstrated CRISPR/Cas genome editing in nonregenerative cotton via sexual hybridization, opening a novel technical avenue for genetic improvement. The approach eliminates toxicity in cottonseed protein, enabling valuable resource utilization and advanced biotechnologies.
A new study published in The Innovation Medicine found that long-term exposure to air pollution significantly increases the risk of cardiovascular disease (CVD) in individuals with cardiovascular-kidney-metabolic (CKM) syndrome. Exposure to fine particulate matter and cooking fuel was linked to a higher risk of CVD.
A recent study has developed an analytical model of downburst wind fields, which reproduces key observable features while adhering to fundamental mechanical principles. The model proposes a framework for assessing train overturning due to downbursts, with high train speeds identified as the most significant contributor to increased risk.
Researchers have developed a series of carbonyl-rich carbon sphere catalysts with unique wrinkled surface architecture, significantly enhancing the catalyst's performance in hydrogen peroxide electrosynthesis. The optimized catalyst achieved high H2O2 selectivity and efficiency.
Researchers discovered high concentrations of tire- and rubber-related chemicals in Lake Sihwa sediments, with patterns reflecting changes in industrial activity and pollution control measures. The study provides a baseline for sediment concentrations, enabling understanding of future trends and potential risks to aquatic organisms.
Researchers review data-driven leakage diagnosis methods connecting single pipeline analysis with energy transmission systems, focusing on nonlinear mapping and spatiotemporal feature extraction. Advanced signal processing and multi-modal fusion techniques improve detection accuracy in complex scenarios.
A novel MOF-derived nanoconfined hollow polyhedral bimetallic sulfide heterojunction exhibits enhanced light harvesting efficiency and promotes rapid tetracycline degradation, with a kinetic rate constant five times higher than pristine Ag2S. The material maintained over 90% efficiency in real water matrices.
The study uses CRISPR/Cas9 to modify the transcriptional repressor SlMYB32, leading to increased flavonol and flavanone production in tomatoes. Key genes associated with these compounds are up-regulated in SlMYB32 mutants.
Researchers developed a two-dimensional polymeric layer that regulates anion movement and lithium-ion transport, forming dense, lithium fluoride-rich interphases that stabilize lithium deposition. This design significantly improves cycling stability, Coulombic efficiency, and safety under demanding operating conditions.
Researchers are redefining solid oxide technologies to overcome efficiency and durability barriers. Advances in materials design, electrochemical mechanisms, and system-level integration have improved performance, extended operational lifetimes, and accelerated the transition to scalable clean-energy solutions.
A novel machine learning framework integrates high-resolution remote sensing and dynamic climate windows to estimate early-season winter wheat sowing dates. The framework achieved an R² of 0.82 with most estimates within ±5 days of observed values, capturing regional patterns and fine-scale variations.
Researchers have developed a novel sh2isu1 sweet maize germplasm using CRISPR/Cas9 cytosine base editor, offering multiple advantages. The approach enables the rapid generation of desired phenotypes without transgenic components within 1-2 years.
PhytoCell, an ensemble learning framework, analyzes plant single-cell RNA sequencing data to identify marker genes and assign cell types accurately. The framework achieves precise annotation of cell subpopulations and effectively removes redundant noise.
A new framework was developed to enable SMEs to systematically assess their supply chain risks and take proactive steps to build resilience. The integrated approach combines expert knowledge with established methods, identifying 11 key hazards across the supply chain.
New research highlights a critical paradox in marine conservation: protected areas can become 'toxic traps' for pollutants. The authors propose an integrated management framework to address this issue. Effective conservation requires considering ecosystem health and pollutant exposure.
A large regional species pool, driven by favorable climates, varied habitats, and stable historical climates, supports both high diversity and many rare trees. Forests with larger species pools require prioritized protection to preserve forest diversity and save rare and endemic species from human disturbance.
A new high-density 10K SNP array for wax gourd has been created using GBTS technology. The array was used to analyze genetic distances among elite inbred lines and commercial cultivars, revealing two major groups with distinct population structures.
A rapid and visual on-site detection system for Epizootic Hemorrhagic Disease Virus (EHDV) has been developed based on RT-ERA and CRISPR-Cas12a. This system achieves high sensitivity and specificity, making it suitable for point-of-care testing in field settings.
Enzyme-based glycan editing allows dynamic remodeling of N-glycans on living cells without compromising function. Recent breakthroughs include targeted tumor therapy and dual-transferase engineering of immune cells, highlighting the potential for precision glycobiology in immunity, cancer, and development.
A peanut mutant's embryo development failure is linked to AhZAR1, a receptor-like kinase essential for early embryogenesis. The AhZAR1 protein interacts with key signaling pathways, including auxin and brassinosteroid pathways.
Researchers have developed a new method to reduce intermuscular bones in hybrid fish through hybridization, resulting in offspring with fewer IBs and improved processing efficiency. The study provides molecular biological insights into phenotypic changes in hybrid lineages and their derivatives.
A novel mechanical activation assisted strategy achieves selective extraction of Li+ from spent cathode materials with highly utilization efficiency of H+ (>97%), reducing secondary pollutant generation. The developed process obviates the need for auxiliary reagents and substantially reduces chemical consumption.
Researchers developed a novel flowering spectral index model, FI-R, for precise fine-scale extraction of angiosperms over large areas. The model achieved high accuracy and applicability across multiple multi-spectral sensor images, with overall accuracies exceeding 94%.
The inaugural Ken Seng Tan Award 2026 celebrates interdisciplinary research that advances the field of risk sciences. The award honors innovative scholarship with a focus on societal impact and real-world risk management.
A team of researchers used AI to analyze 289,513 global publications and isolated 4,177 highly relevant studies on China's major basins. The study highlights crucial milestones in Chinese hydrology and aims to guide future research priorities and sustainable water resource strategies worldwide.
Researchers found that rural households in Northern China face significant challenges in affording clean heating as subsidies shrink. Distributed rooftop solar photovoltaics could help offset heating costs, with an estimated compensation of 32.2-64.5% in regions with strong solar potential.
A genetic strategy is introduced to break the trade-off between rice disease resistance and yield by utilizing a pathogen-inducible promoter. The approach enables broad-spectrum disease resistance without compromising plant growth and yield.
Scientists have created a new hybrid metallic implant that combines two metals with complementary properties, providing high strength while using less material. The implant's slow degradation rate supports natural bone regeneration and reduces post-implantation complications.
Researchers identified DMBT1 as a key target of Lentinus edodes-derived β-glucan in inhibiting cervical cancer progression. The compound's anti-cancer activity was shown to be closely correlated with DMBT1 expression levels, suggesting its potential as a prognostic marker or therapeutic target.
A new zebrafish study sheds light on why haploid fish embryos often fail to survive normal development. Researchers identified 13 key genes associated with abnormal development, highlighting disruptions in FGF and Wnt signaling pathways, mitochondrial translation, ion transport, and cell-cycle regulation.
A novel visual system, VSES, facilitates efficient visualization of transgenic lines in soybeans. The system enables rapid identification during the seedling stage and under natural light, reducing labor and time requirements.
The researchers investigated the simplest system consisting of two spins with interactions with surroundings, using Lindblad equation describing open quantum systems. They found that MQ coherences exhibit oscillatory behavior and exponential decay due to environmental interactions.
Researchers developed a nanoparticle-assisted strategy to simplify NMR spectra by removing unwanted signals. This approach uses imidazolium ionic liquid-coated silica nanoparticles to selectively mute certain signals, revealing the components of interest.
Research reveals NMN confers broad-spectrum disease resistance in plants by inducing PTI and SA-mediated immunity. The bioactive molecule enhances plant resistance against various pathogens, including Ralstonia solanacearum and Phytophthora parasitica.
Researchers develop MS-based glycoRNA analytical pipeline for precise structural characterization. Glycan abundance patterns reveal distinctive physiological and pathological states, serving as potential biomarkers.
Scientists in China have designed MOFs with 3D pyr-topology frameworks and polyhedral cages to efficiently purify methane from natural gas. The materials exhibit high adsorption capacities for C3H8 and C2H6 but extremely low CH4 uptake.
Researchers develop axiomatic approach to understand principles behind simple risk-sharing rules, such as equal sharing and proportional forms. They show how familiar rules can be understood as unique outcomes of particular combinations of axioms, accommodating scenario-based approaches.
Researchers developed a nonparametric statistical inference theory for integrals of quantiles, applicable to various data settings. The framework offers unified large-sample arguments for classical estimators and insights into conditions for asymptotic results.