The WAG-H5-2#2508 demonstrated accuracy within stated uncertainties, closely matching manufacturer specifications and rivaling established laser gravimeters. Its long-term stability was also confirmed, enabling continuous, unattended monitoring and supporting hybrid gravity observation networks.
The equatorial electrojet's spatial and temporal evolution is essential to understand its impact on space weather. Mid- and high-latitude forcing can rapidly alter or reverse the electrojet's direction, creating a westward counter-electrojet.
Researchers propose a new time-scaling methodology for superconducting single-flux-quantum (SFQ) circuits, enabling true gate-level 3D integration and compressing time paths. The dual-active-layer structure achieves up to 28.8% net timing compression in large-scale circuits.
The study focuses on the Lamm-Riviere system, a fourth-order geometric elliptic system including both extrinsic and intrinsic biharmonic maps into manifolds. Researchers investigated the inhomogeneous Lamm-Rivireè system and proved the angular energy identity for this system.
This study reveals a novel post-translational regulatory mechanism of ABI4, where RBOHD-derived ROS mediate its oxidative modification. The oxidation enhances ABI4's DNA-binding affinity to the RBOHD promoter, promoting further ROS production in a positive feedback loop.
Researchers developed a TnpB generation model to generate 100,000 mutant sequences of ISDra2 TnpB, selecting top five for experimental validation. The results showed high editing efficiencies at specific loci with the TnpB-TD mutant exhibiting stronger capabilities and diverse editing outcomes.
A team of scientists has developed a technical system for regulating plant disease resistance without obvious fitness costs. They achieved this by identifying and utilizing in-frame AUGs in functional genes, including PI4KIII β1, to specifically regulate resistance gene expression through protein translation reprogramming.
Researchers developed a nano-biostimulant (SeG) combining selenium nanoparticles and glutathione to alleviate salt stress effects on soybean growth. SeG triggers metabolic reprogramming via the JA pathway, promoting arbutin secretion and rhizosphere microbiota growth, leading to improved salt tolerance in soybean.
The study provides a systematic overview of AI-generated image detection, categorizing existing methods across multiple dimensions and evaluating their performance in a unified framework. Key challenges include constructing large-scale unbiased datasets, improving robustness, and increasing interpretability of detection outcomes.
A study of 80 near-Earth asteroids reveals that C/X-complex asteroids are more abundant among smaller NEAs, while X-complex asteroids tend to have sub-kilometer diameters. The research also shows that C/D-complex asteroids dominate NEAs with a Jovian Tisserand parameter T <sub> J </sub> < 3.1, suggesting a potential cometary origin.
Variations in Earth's gravity field on interannual to decadal timescales reveal discrepancies that cannot be fully explained by surface processes. Comparative analyses of gravity and magnetic field data reveal a close connection between the two systems, with periodic signals associated with core mass transfer.
Researchers analyzed airglow images from China's Meridian Project to identify seasonal differences in atmospheric gravity waves. The study found longer wavelengths at Dandong and shorter wavelengths at Lhasa, with varying intensities and propagation speeds.
Researchers analyzed magnetic properties of volcanic rocks in Colombia to uncover a new timeline for the Americas' collision. The results suggest that major crustal shortening occurred mainly during Oligocene-middle Miocene, with tectonic deformation weakening over time.
Researchers developed a method to efficiently identify and select haploid seeds in wheat using double-fluorescent proteins. The system, which combines fluorescence-based identification with molecular markers, allows for accurate detection of haploids independent of the recipient's genetic background.
Researchers created a comprehensive atlas of active autonomous TIR transposons across 1,007 plant genomes, revealing a strikingly uneven distribution and lineage differentiation patterns. This study provides critical insights into transposon-host coevolution and delivers a rich resource for plant biotechnology.
High levels of ADARdd overexpression lead to abundant off-target RNA editing in rice protoplasts, characterized by pronounced stochasticity and low efficiency. The study provides guidelines for improving RNA editing accuracy in plants and highlights the need for rigorous validation of proximity-directed RNA editors.
A new pipeline, NLRSeek, identifies previously overlooked NLR genes in sequenced genomes, revealing functional genes and driving evolutionary expansion in non-model species. This tool enhances disease resistance breeding by providing a more complete set of NLRs.
The study developed a novel method, BacPhase, for constructing bin markers and genome phasing in polyploid crops. By using PacBio HiFi long-read sequencing, researchers generated high-confidence bin markers in potato, achieving 59.58% scaffold anchoring to chromosomes.
The quota_Anchor tool identifies collinear genes with control over alignment depth, revealing less similar expression patterns in relatively inverted genes. It also finds stronger purifying selection in these genes.
The study identifies GmWOX1a and GmWOX1b as key regulators of mediolateral polarity in compound leaves. Multiple knockout mutants show altered leaf shape and reduced area, highlighting the functional redundancy among WOX1 genes.
Researchers created a comprehensive clinical database to predict NAFLD using facial images, physical examinations, and laboratory tests. A multimodal-based prediction method, DeepFLD, was proposed, achieving superior performance compared to models relying solely on metadata or facial images.
Collaborative robots require adaptive solutions to handle dynamic environments. A new approach integrates reactive planning and control, enabling seamless interaction with humans and surroundings. The method uses combined learning and optimization to generate feasible motion for mobile manipulators, improving efficiency and performance.
Embodied learning enables robots to adapt to new situations through physical interactions and feedback loops. This survey summarizes the latest research in object-centric robotic manipulation, covering embodied perceptual learning, policy learning, and task-oriented learning.
The study of large-time behavior of solutions to partial differential equations is fundamental for physics and engineering. Researchers have made significant progress in resolving the multi-wave stability problem with partially degenerate flux in damped wave equations.
Researchers prove that solutions with low-energy initial values decay exponentially, while those exceeding the energy threshold blow up in finite time. The study employs concentration-compactness principle to establish regularity for global solutions.
Researchers analyzed the linear stability of a two-dimensional compressible Euler-Euler system around planar Couette flow. They found that when sound speeds align, the drag force acts as a stabilizer, controlling turbulence growth rates. This study provides new mathematical ideas for turbulence control.
The study analyzes parabolic-elliptic coupled systems, focusing on solutions' behavior as viscosity approaches zero. It establishes global existence without small perturbation conditions and derives explicit convergence rates.
The APTES system uses deep learning models to automate the phenotypic analysis of individual leaves and siliques in Arabidopsis, achieving high precision and recall scores. The system's outputs enabled a genome-wide association study identifying significant associations with various traits.
A new commentary in Journal of Geo-information Science reviews AlphaEarth Foundations, a Google DeepMind model addressing Earth observation and geospatial artificial intelligence. The model integrates multimodal data into a unified field, improving large-scale data fusion and analysis-ready applications.
This study deciphers epigenetic regulation of soybean NLRs and PRRs, revealing poised chromatin states that regulate gene expression. Clusters of R-genes within topologically associating domains exhibit increased repressive marks and TAD-mediated co-regulation.
FHBDSR-Net is an AI tool that accurately measures diseased spikelet rate in wheat Fusarium Head Blight from phone images, providing efficient phenotyping support for resistance breeding. The model achieves high accuracy and robustness, with excellent generalization ability and lightweight properties.
This study reveals a critical role for uninfected cells (UCs) in storing and releasing nutrients within soybean nodules, supporting symbiotic nitrogen fixation. UCs serve as a central hub for regulating N fixation by interacting with adjacent infected cells (ICs), controlling the efficiency of nitrogen fixation.
Researchers explored post-transcriptional regulation in peanut pods, identifying 14,627 newly discovered transcripts and 6,769 new genes across four developmental stages. The study found dynamic changes in polyA length and its correlation with transcript stability, as well as alternative splicing events and RNA m6A modification.
Researchers have uncovered the three-dimensional electronic structure of LiV₂O₄, revealing a flat band and electron-like dispersion. The findings suggest strong correlations, Hund's coupling, and frustrated lattice geometry contribute to the heavy fermion state.
Understanding Sun's polar magnetic fields and dynamic processes is essential for answering pressing questions in solar physics. The SPO mission aims to overcome past limitations by providing a true polar view.
The proposed GACBS algorithm leverages GPU parallelism to improve the performance of the CBS solver for the MAPF problem. Experimental evaluations demonstrate significant speedup ratios, outperforming CPU-based approaches by up to 46x.
This study uses multi-trait GWAS and genetic networks to dissect the genetic basis of 18 agronomic traits in maize. The analysis identified pleiotropic regulatory genes and revealed interconnected co-regulatory networks, providing strategic targets for simultaneous trait improvement.
Research reveals m6A modifications play crucial roles in plant growth, development, and stress responses. These findings have significant implications for improving crop traits such as yield, flowering time, and stress tolerance.
Large language models demonstrate creativity through novel text generation, idea suggestion, and storytelling. Researchers develop a framework to assess LLMs' creativity using the Torrance tests of creative thinking, evaluating fluency, flexibility, originality, and elaboration.
A new method successfully inverts the parameters of a single dipole model, avoiding the challenge of simultaneous fitting of multiple parameters. The technique has been applied to various fields, including geomagnetism and magnetic prospecting, with promising results.
A 23-year bibliometric analysis reveals key hotspots in ovarian cancer care, including quality of life, surgery, and nursing health. The study emphasizes the need for future research on psychological well-being and integrated care models to improve outcomes for women with ovarian cancer.
DPM-Solver++ is a fast training-free solver for guided sampling of diffusion probabilistic models. It addresses instability issues with high-order solvers and achieves improved sample quality in just 15 steps, making it a significant advancement in the field.
A research team has discovered a native peanut Ubiquitin4 promoter (AhUBQ4) with strong transcriptional activity, driving robust gene expression in various tissues and conditions. The AhUBQ4 promoter also showed improved efficiency in CRISPR/Cas9 editing compared to foreign promoters like CaMV 35S.
Researchers found that heat-stressed Nagina 22 exhibit dramatic genome-wide DNA demethylation, particularly CHH demethylation, which upregulates JAZ genes. This epigenetic regulation helps the rice cultivar better adapt to high-temperature stress.
The study investigates the internal characteristics of asteroids and comets using Tianwen-2's radar, shedding light on their formation mechanisms and volatile preservation. The research aims to understand the early evolution of the solar system and its dynamical environment.
Research finds MCR has bacteriostatic activity against bacteria, primarily through adhesion, disrupting cell walls and membranes, and altering permeability.
A new semi-empirical model simulates the Dst index by integrating empirical methods with global magnetohydrodynamic (MHD) models of Earth’s magnetosphere. The model outperforms traditional approaches in accuracy while retaining computational efficiency, demonstrating robustness in capturing timing and magnitude of Dst variations.
The authors successfully endow a double B←N bridged bipyridine-based polymer with mixed conduction by incorporating oligoethylene glycol side chains, resulting in higher conductivity and capacitance. This breakthrough enhances the potential of n-type BNBP-based OMIEC materials for organic electronic devices.
This study proposes a comprehensive framework for typhoon disaster knowledge services, utilizing large language models to construct structured knowledge graphs and develop intelligent question-answering systems. The proposed system achieves high accuracy in concept, entity, attribute, and relation extraction, providing seamless convers...
This review systematically presents China's agricultural biotechnology development, highlighting progress in functional gene discovery and transgenic technologies. The Chinese government has established a regulatory system to ensure safe application of biotech products, with steady annual growth in approved applications, focusing on GM...