A new research scheme addresses the limitations of previous anonymous authentication methods, providing both public linking and tracing capabilities while ensuring access control. The proposed scheme enables accountability without relying on a trusted authority, making it feasible for future multi-authority extensions.
Research found that soil warming increased respiration rates, but reduced temperature sensitivity and altered microbial carbon use efficiency. Organic matter input enhanced aggregate accumulation and changed respiration patterns among aggregates of different sizes.
Researchers investigated the effect of design parameters on system performance enhancement in spectral beam splitting hybrid PV/T systems using water-based SiO2 nanofluid. They found that optimal SiO2 nanofluid concentration balances efficiency and cost-effectiveness, with a maximum efficiency of 51.93% at a focusing ratio of 3.
Researchers found that bariatric surgery significantly increased apolipoprotein A-IV (apoA-IV) levels in diabetic obese patients. ApoA-IV improved glucose tolerance and energy expenditure in mice, acting on pancreatic β-cells to promote insulin secretion.
The Yangtze River Basin faces severe water quality issues due to excessive fertilizer and pesticide use, as well as the inappropriate disposal of agricultural waste. The study highlights the need for balancing green agriculture with development to ensure food security and water quality.
A new research framework, KD-Crowd, leverages noise-model-free learning techniques to refine crowdsourcing learning. The proposed method attains substantial improvements in performance on synthetic and real-world data.
A new data augmentation strategy called FPSMix enhances point cloud classification accuracy comparable to state-of-the-art methods. The approach can be combined seamlessly with existing methods to boost the robustness of baseline models.
A study explores multi-objective nitrogen management in the food system, focusing on Quzhou County in China. The researchers found significant N losses to the environment, mainly from crop and animal production, and developed a framework for reducing these losses while promoting food security and economic sustainability. The study sugg...
This study reveals the role of substrate carbon quality and nitrogen limitation in regulating temperature sensitivity (Q10) under various oxygen conditions. Q10 did not show consistent patterns under different oxygen levels, suggesting other factors may override oxygen's effect.
A recent study found that afforestation significantly increases soil microbial diversity and enhances nitrogen mineralization rates. The researchers discovered a strong correlation between soil microbial communities and N-cycling gene abundance, highlighting the importance of functional genes in driving this process.
Researchers have proposed a dynamic erasure coding method called Dynamic-EC to improve the efficiency and scalability of permissioned blockchain systems. By dynamically adjusting the encoding schema, Dynamic-EC reduces unnecessary storage overhead associated with tolerating malicious nodes.
The STB model has played a huge role in coordinating ecological environmental protection and socioeconomic development in Erhai Lake. The approach aimed to reconcile environmental preservation with economic prosperity through innovative green technologies and sustainable practices.
Low-density polyethylene microplastics partially alleviated the ecotoxicological effects caused by cadmium exposure on earthworms. They reduced histopathological damage and DNA damage in coelomocytes, as well as inhibited Cd's growth-inhibiting effects.
A study in Hainan Province, China, evaluates the progress of green and sustainable agriculture, finding improvements in socioeconomic development and agricultural productivity. However, environmental degradation remains a challenge, with high resource input and waste management issues hindering sustainable development.
The study found that China's AGD is closely related to 10 of the 17 SDGs, with improvements in agricultural productivity, resource efficiency, and socio-economic benefits. However, challenges remain, including excessive resource inputs and environmental degradation.
Researchers developed a novel method for accurate cell type annotation in single-cell chromatin accessibility data using contrastive learning and reference guidance. The approach excels beyond existing methods, including those that identify novel cell types.
Researchers developed RVAM16, a low-cost multiple-ISA processor based on RISC-V and ARM Thumb, to address software compatibility issues. The new processor achieves significant speedups of over 2.73x for non-native ARM programs, while maintaining comparable area and power consumption.
Researchers developed e-calculus to capture asynchronous communications between agents with epistemic states, offering new insights into distributed systems. The study presents a process calculus enriched with operators for passing basic facts and applying action model logic to describe agents' epistemic states.
China's Agricultural Green Development (AGD) evaluation system reveals two stages of transformation from 1997 to 2020, with increasing scores but moderate levels. The Socioeconomic dimension shows significant improvement, while Food production and Eco-environmental dimensions require further development.
A new research method named AssoRep improves data representation by leveraging association-based distance correlation. The approach enhances feature representation through aggregation and mapping to low-dimensional space via principal component analysis.
The XGCN library addresses the scaling issues of large-scale graph neural networks by incorporating various scaling strategies and optimizations for large graphs. It showcases superior time and memory efficiency compared to existing implementations, overcoming out-of-memory issues.
Researchers propose a biased edge enhancement method to preserve and enhance higher-order connectivity in hypergraphs with fragmentation issues. Extensive experiments show that the method effectively addresses fragmentation problems and outperforms state-of-the-art methods.
Over the past five years, China's Agriculture Green Development (AGD) program has made significant progress in developing innovative crop production methods and technologies. The program aims to promote sustainable agriculture by reducing agrochemical inputs and environmental impacts.
Research has led to biomarker-directed treatment options for patients with advanced NSCLC featuring specific driver mutations. Targeted therapies have improved patient survival but also raised the need to understand resistance mechanisms.
The study highlights epigenetic dysregulation as a key factor in the development of autoimmune-related skin diseases, such as systemic lupus erythematosus and psoriasis. Epigenetic modifications, including DNA methylation and histone changes, can serve as potential biomarkers for disease diagnosis.
Researchers discovered that alternate day fasting aggravates atherosclerosis in mice by suppressing the expression of hepatic activating transcription factor 3 (ATF3). ADF also increased cholesterol profiles, contradicting its protective effects against obesity and metabolic disorders. The study sheds light on the complex role of ATF3 ...
This study proposes a non-Euclidean configuration based on Möbius rings to control topological photonic states via the spin-locked effect. The work enables polarization control and tuning of topological phase in non-Euclidean space.
Researchers summarize physiological functions of pituitary hormones in non-classical organs, revealing unconventional biological effects. This discovery provides new insights into pituitary hormone regulation and expands knowledge of their targets and functions.
Researchers developed a synthesis method for white LEDs in halide perovskites, achieving sufficient blue emission and improving stability. By doping metal ions into the material, they created crystals that emit white light with tunable color.
Researchers developed a single-laser direct writing method to create multiple materials, including silver and graphene, with high sensitivity and stability. The technique utilizes photo-thermal conversion to synthesize materials with desired morphologies and structures.
Researchers developed an algorithm that combines polarization and visible images to reveal multi-dimensional features, improving target detection accuracy. The NSCT transform is used to fuse the images, compensating for limitations of single-image sensors.
Researchers created high-efficiency Se-containing electrocatalysts for overall water splitting using 2D layered metal-organic frameworks. The unique structure and synergistic effect between components significantly improve the electrochemical performance.
A new research proposes a novel unified variational model that simultaneously obtains haze-free image, transmission map, and noise map. The model achieves both haze removal and noise suppression, outperforming previous methods.
Research reveals that abnormal microbes in adipose tissue of postnatal growth retardation piglets alter energy metabolism and glycolipid balance. Supplementation with phosphatidylethanolamine alleviates metabolic disorders and improves growth.
A new approach to reconstructing 3D faces from single depth images uses a fusion of auto-labeled synthetic and unlabeled real data, achieving competitive performance on challenging datasets.
Researchers analyze complexity of two classes of regular exact (k,d)-SAT problems, finding phase transition points and bounds through experimental simulation. The study reveals theoretical results consistent with experimental findings, providing clearer upper and lower bounds for instances that are satisfied and unsatisfied.
Federated learning allows multiple data owners to train models collaboratively on sensitive data, enabling applications such as disease prediction and risk assessment. The survey focuses on federated learning with privacy guarantees, exploring techniques like multi-party computation to secure communication and computation.
A research team proposes MMCo, a Co-teaching-like method using multimodal information and parallel networks to detect malicious traffic with noisy labels. The approach maintains disagreement and enhances robustness, achieving higher accuracy compared to existing methods.
Researchers propose TEPG, a traffic engineering-based power-aware greedy routing algorithm for backbone networks with bundled links. The algorithm achieves significant network power savings and improved performance compared to existing schemes.
A single-center study found that ultrahypofractionated whole breast irradiation after breast-conserving surgery had no severe toxicities and did not affect patient-reported outcomes. Most patients (83.9%) were diagnosed with pathological stage I disease, and cosmetic effects showed no obvious differences before and after treatment.
The proposed AEIR method learns cross-modal consistency representations using parallel data and optimizes adversarial learning-based semantic transfer constraints. Experimental results show that AEIR outperforms current methods in image-sentence retrieval tasks.
A new method, GRINCD, infers causal relationships in gene regulatory networks using graph neural networks and achieves superior performance on predicting regulatory relationships. The approach identifies crucial potential regulators driving disease progression, such as colon cancer.
A novel approach integrates node attributes and topological structure to detect polarized communities, improving search quality. The adaptive fusion framework leverages complementary information from both aspects.
Researchers found that phosphorus addition had a more significant effect on soil nematodes than nitrogen addition, increasing their abundance. The study also revealed an interactive effect between nitrogen and phosphorus additions, with added nitrogen alleviating soil acidification when combined with phosphorus.
Researchers found that combining SORA with FGF21 increases the sensitivity of SORA to HCC cells under hypoxia conditions. This combination therapy promotes apoptosis and inhibits tumor growth through the PI3K/AKT pathway, suggesting a new potential treatment approach for advanced liver cancer.
Researchers improved differential-neural cryptanalysis for round-reduced Simeck32/64, achieving higher accuracy than existing methods. They also launched practical 16- and 17-round key recovery attacks for the algorithm.
Advanced lung cancer patients treated with combination chemoradiotherapy have a higher incidence of mixed infections and elevated inflammatory markers. Antibiotic therapy is recommended to ensure coverage of gram-negative bacilli pathogens.
The study found that bacteria communities are the most sensitive to soil amendment-induced changes, while protistan phototrophs and consumers increase with amendments. Protist taxa Cercozoa play a crucial role in regulating microbial interactions under Cd-contaminated conditions.
A study by Chinese scientists reveals that dAcsl regulates systemic lipid homeostasis by modulating interorgan lipid transport. The researchers found that dAcsl knockdown leads to disruptions in overall lipid metabolism, ER stress, and abnormal protein glycosylation.
A novel dynamic routing planning framework DTT-STG was proposed to address limitations in existing research, integrating map-matching, road speed forecasting, and route planning. The framework captures dynamically changing spatial-temporal dependencies using diffusion convolution and attention mechanisms.