This study employed pragmatic designed experiments to propose a semi-empirical ecological design framework, emphasizing learning by doing and research through practice. The project achieved various degrees of goals, with the enhanced paddy field system and bird island showing notable results.
Researchers found that high temperatures improved insulin resistance in obese mice by breaking down ceramides, a key contributor to the condition. The study suggests hyperthermia therapy as a novel approach to treating obesity and metabolic diseases.
A new framework for group-wise co-salient object detection using multi-view self-labeling and semantic knowledge transfer is proposed. This approach improves generalization to novel categories by leveraging the known category's features.
This article introduces and validates two methodologies, the Systemic Equity Framework and Wells-Du Bois Protocol, to integrate socioecological equity into environmental data science and machine learning. These tools aim to mitigate inequity and ensure fair benefits for all communities, particularly marginalized groups.
This study introduces a landscape intervention method to address unequal e-waste treatment, focusing on ecological restoration and local community benefits. The proposed approach combines five concepts: ecological restoration, flood management, stormwater purification, spatial programs, and livelihood income.
A study reveals that personal lifestyle choices, particularly regarding transportation and diet, can lower an individual's carbon footprint. By adopting more efficient transportation methods and making smarter dietary choices, individuals can achieve remarkable reductions in their carbon output.
A novel dialogue generation model ETHREED recognizes user's emotion and situation to generate responsive answers. The model uses hierarchical GRUs to track emotional representations, stochastic policy networks for predicting listener emotions, and guided policy search for optimizing responses.
Eye & ENT Research bridges basic science and clinical applications, offering the latest findings and methodologies for researchers and clinicians. The journal promotes global collaboration and supports contributors in advancing ophthalmology and otolaryngology fields.
This study examines the journey toward hazard-resilience in five exemplary cities, highlighting distinct approaches to addressing disaster risk and building resilience. The research emphasizes the importance of government support, community participation, and cultural awareness in enhancing urban resilience.
A new research team has proposed a novel method, DeepCRBP, to predict the binding sites of circRNAs and RBP. It uses a combination of spatial encoding and sequence encoding modules to capture local and global contextual features in circRNA sequences. The performance of DeepCRBP surpasses several state-of-the-art methods.
Researchers at UESTC China developed a graphene-sensitized microresonator for ultra-sensitive gas detection, achieving detect limits of 1.2 ppb for H2S and 1.4 ppb for SO2. This technology has promising applications in biochemical sensing and photonic-microwave signal generation.
Researchers propose DeciLS-PBO, a local search method for pseudo-Boolean optimization, outperforming existing solvers on most instances. The new method uses unit propagation and a heuristic defined on clauses to improve performance.
The article explores the evolution of resilient cities to bold cities, focusing on policies, actions, and hot trends. Key findings include multi-level governance, circular economy, nature-based solutions, equal opportunities, and open data capabilities.
Researchers have developed an efficient single pixel imaging scheme using a compact fiber laser array and untrained deep neural network. The system enables rapid speckle projection and reconstructs high-quality images, making it suitable for remote sensing and target detection applications.
A new method is introduced to study topological photonic phase in real space using information entropy, enabling the identification of topological states without relying on band structures. This approach provides a novel way to analyze physical properties of topological systems.
A new research proposes a lightweight Degradation-Adaptive Neural Network (DAN-Net) for jointly single image dehazing and desnowing. The proposed method achieves superior performance with lower computational complexity, verified on five large-scale datasets.
A new research proposes a multi-stream network for retrosynthesis prediction, utilizing SMILES and ECFPs descriptors to produce deep features. The model combines these features with varying weights to arrive at a final prediction, leveraging diverse information from each type of feature.
Lysosomes are critical for cellular degradation through endocytosis, phagocytosis, and autophagy, recycling essential components. Research has developed tools to study lysosomes in cultured cells, C. elegans, and mice, with novel assays needed to understand diverse physiological and pathological conditions.
Migrasomes are vesicular structures that facilitate information and material exchange between cells and their microenvironments. Researchers have developed protocols for observing migrasomes using optical microscopy, providing insights into essential physiological and pathological processes such as embryonic development and tumorigenesis.
NeoHunter systematically detects various neoantigens generated by molecular alterations in tumors. The software accurately estimates peptide–HLA binding and evaluates immunogenicity of TCR recognition on pMHC complexes, confirming candidate neoantigens. This comprehensive tool is valuable for advancing personalized cancer vaccines.
Researchers discovered that targeting BET and OXPHOS induces synthetic lethality in liver cancer by blunting cell proliferation and tumor growth. The study found that BET inhibition decreases glycolytic gene expression while enhancing mitochondrial glucose and glutamine oxidative metabolism, revealing a critical epigenetic-metabolic cr...
Researchers identified a link between Bacteroides fragilis-secreted BFT-1 and breast cancer resistance, highlighting the importance of targeting microbiota in cancer treatment. Inhibiting the NOD1 pathway may sensitize breast cancer cells to chemotherapy, providing a promising avenue for novel therapeutic strategies.
Researchers propose green intelligent fertilizers to address the gap between fertilizer industry and agriculture, promoting eco-friendly practices and maximizing nutrient utilization. The new fertilizers aim to improve crop yield, quality, and nutritional balance while minimizing environmental footprint.
A three-step approach is proposed to address global hunger and hidden hunger by focusing on calorie needs, high-quality protein, and emission reduction. The study suggests optimizing crop and livestock cycles, introducing novel foods like insect-based products and lab-grown meats, and enhancing global trade and spatial planning.
Researchers developed a multi-objective zoning method to optimize nutrient management and reduce environmental impacts in the Baiyangdian Basin. The approach improved emissions by over 55% and brought high-risk zones within safety thresholds.
ILF3 interacts with DNA/RNA helicases to resolve telomeric R-loops, maintaining telomere homeostasis. This study provides new insights into R-loop regulation and its implications for aging biology.
The study introduces two new metrics and proposes a novel Imbalance-Aware fusion Model (IMAM) to address the multi-dimensional classification problem. IMAM performs well across dimensions without sacrificing instance-wise performance.
A new logarithmic step size strategy for stochastic gradient descent (SGD) is introduced to address the challenge of probability distribution, improving performance in critical concluding iterations. Numerical results show significant improvements in test accuracy, particularly on the CIFAR100 dataset with a convolutional neural networ...
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.