The Mekong and Sài Gòn-Đồng Nai Deltas have undergone significant topographical changes due to human activities, leading to loss of ecology and biodiversity. Indigenous knowledge systems and practices have adapted to these changes, showcasing resistance and resilience in the face of imposed supra-order.
This study explores topography's role in refining landscape design methods by analyzing the complex relationships between humans and land. Topographical design can help balance abstract concepts with concrete perceptions to drive scientific development and artistic expression.
Research found that ditches and ponds in the Jinglinxi catchment can be both sources and sinks of agricultural pollutants. The study suggests retaining sediment in ditches during dry seasons and cleaning it in rainy seasons to maximize their ecological role.
TRPC3 plays a crucial role in regulating Ca2+ influx in ALD, with its loss linked to increased hepatic steatosis and liver injury. Experimental studies show that TRPC3 overexpression can restore chronic alcohol-induced liver damage.
Soil nitrogen mineralization is a key process controlling soil nitrogen availability to plants. The study found that soil N mineralization rate and nitrate release varied with elevation, soil pH, and other factors. Soil N mineralization plays a crucial role in agricultural sustainability, but excessive nitrate release can lead to water...
Scientists created a new type of polyimide film that exhibits high photocurrent response and efficient charge separation. The study found that the conjugate size of aromatic unit has a significant impact on PEC performance.
Research found that long-term operation of constructed wetlands can lead to reduced pollutant removal efficiency due to plant decay and microbial activity. The study also highlights the poor ability of constructed wetlands to remove organic pollutants, which can become a source of pollution if not properly managed.
Researchers propose a new method for generating free nitrous acid in situ from low-strength wastewater using acid-tolerant ammonia oxidizers, achieving high concentrations and maximizing benefits. This approach also offers multiple advantages, including robust nitridation, acidic sludge treatment, and toxic metal removal.
The study explores the historical development of crop-livestock integration in China, identifying four distinct stages from traditional subsistence production to contemporary pollution control. It highlights the significance of this practice in fostering a circular economy and promoting rural development.
The 'Lodgers' project in Fly Ranch prioritizes plant and animal well-being, uses local resources to minimize waste, and incorporates Traditional Ecological Knowledge. This approach challenges contemporary architectural practice and offers a response to climate challenges through cohabitation and material cycles.
Ten Bacillus strains exhibit distinct growth rates and antioxidative systems in response to acidic environments. The study reveals strain-specific differences in the regulation of enzymes and antioxidant reactants, highlighting the heterogeneity of microbial physiological responses to acidification. These findings contribute to our und...
A new double main-injection (DMI) strategy has been proposed to regulate fuel stratification in Gasoline Compression Ignition (GCI) mode, improving fuel economy and reducing emissions. The study found that simultaneous main-injection and exhaust gas recirculation can achieve rapid fuel supply and control of combustion.
Researchers have developed a new OLED technology that uses an exciplex route to produce white lights, reducing costs and device complexity. By using a spacer layer with ambipolar properties, the technology enables a single-layer architecture for white OLEDs.
This article explores the need for cultural heritage professionals to develop competencies in dealing with uncertainty. It advocates for a systemic understanding of cultural heritage as a prerequisite for sustainable adaptation to current challenges.
This article introduces a landscape-based approach to urban heritage management, incorporating people, spatial biography, and ecosystem elements. The proposed method aims to develop sustainable human habitats through the protection of place identity and public participation.
Researchers discovered a potential pathway of amyloid beta drainage via meningeal lymphatic vessels. Photostimulation was shown to reduce Aβ plaques in the brain and alleviate cognitive decline in mice with 5xFAD genetic mutations.
Researchers have successfully optimized 2D semiconductors through substitutional doping, demonstrating enhanced B-exciton emission and broad spectral response in V-doped MoS2 monolayers. This work paves the way for future optoelectronic devices with improved performance.
Aya Kubota emphasizes the importance of engaging local residents in historical environment preservation and regeneration. This approach supports the preservation and utilization of 'Legacy of Catastrophe' and presents a valuable alternative to current urbanization methods.
The Historic Urban Landscape paradigm shifts focus from iconic buildings to city communities, highlighting the importance of nostalgia in understanding the past's impact on present and future development. This approach provides a balance between preserving cultural heritage and adapting to urban changes.
A comparative analysis of three communities surrounding the park found that social relations, local culture, and equity and rights were highly valued. However, fringe communities perceived the most negative impacts in all four dimensions, emphasizing the need for government support and attention to non-economic social impacts
This study found that external groups are more willing to pay for landscape resources than internal groups, with higher payment rates for ecological environment improvement. Demographic factors also influence payment rates, while attitude factors have a greater impact on landscape resource value than demographic or environmental factors.
This study integrates heritage corridor route planning with public perception and digital footprints, combining physical and social semantic data analyses. By analyzing users' movement flows and online textual data, the research optimizes routes for urban heritage corridors, offering reference to overall protection of urban heritages.
Researchers found that anthrax lethal toxin (LT) and tumor necrosis factor-alpha (TNF-α) synergize to induce mouse death, primarily through damage to intestinal epithelial cells. Both necroptosis and apoptosis pathways are involved in this process, which could lead to a new target for preventing anthrax-caused death.
Researchers develop cross-shaped microstructure metamaterial for efficient broadband polarization conversion, achieving conversion efficiency of over 80% in the 1-2.32 THz range. The design also facilitates linear-to-circular polarization conversion with an ellipticity of 1 at 0.85 THz.
A chemically defined, xeno-free culture system for culturing and deriving monkey PSCs has been successfully developed. The system allows for the global gene expression analysis and genome-wide hypomethylation patterns distinct from human cells, enabling the tracking of cell migration and proliferation.
A new THz detection method has been developed to measure terahertz radiation directly at the plasma source as it is produced. This method uses nonlinear optics to double the frequency of an optical beam in the presence of a THz wave, providing efficient measurement and characterization of the radiation.
A novel lexical simplification (LS) method, PaGeLS, is proposed to simplify sentences by generating substitute words without altering meaning. The method achieves state-of-the-art results, surpassing previous LS methods in candidate ranking and word substitution accuracy.
The research team proposed learning label-specific features for each decomposed binary classification problem to consider the specific characteristics in its positive and negative examples. Experiments validate the effectiveness of this approach, showing superiority over original features.
Researchers summarize recent works on using large sequence models like Transformers for sequential decision-making and reinforcement learning tasks, highlighting their potential and limitations. The study categorizes approaches based on data utilization and proposes avenues for future research to improve these models.
Researchers at Nanjing University of Information Science and Technology have developed a guest pre-intercalation strategy to enhance multivalent ion storage. KMO cathode material exhibits high reversible capacity, excellent cycle stability, and potential application in aqueous Al-ion batteries.
Researchers developed a novel method to optimize pump wavelength, reducing ESA-induced absorption and increasing pump quantum efficiency. This approach achieved higher laser output and slope efficiency compared to conventional pumping schemes.
A new scheme for realizing nonreciprocal interlayer coupling in bilayer topological systems has been developed by researchers at Peking University. The scheme is based on constructing on-site gain/loss in bilayer non-Hermitian topological systems and reveals a relation between two microscopic provenances of the non-Hermiticity.
Researchers discovered that intestinal epithelium-derived exosomes, specifically containing miR-21a-5p and miR-145a-5p, reduce liver lipid deposition in mice. These findings suggest a novel pathway for the intestine to regulate liver lipid homeostasis, providing potential targets for NAFLD prevention and treatment.
Researchers developed a machine learning model to predict and optimize VFA production from riboflavin-mediated sludge fermentation. The study found that XGBoost presented the best prediction performance, with high testing coefficient of determination (R2 of 0.93) and low root mean square error (RMSE of 0.070).
A study investigated the risk assessment and remediation of a retired industrial park in Zhejiang Province, China. The researchers measured soil and groundwater samples to assess the comprehensive risk of organic pollutants, highlighting the importance of accurate classification and grading of risk zones.
Researchers discovered that Y-box binding protein 1 (YBX1) in mitochondria inhibits pyruvate entry, facilitating cancer cell proliferation and metastasis. Downregulation of YBX1 promotes cellular oxygen consumption and reduces lactic acid production, while inhibition of the MPC1/2 complex by YBX1 enhances metastatic capacity.
The DeepDrug framework leverages graph-based deep learning to predict drug-target interactions and optimize drug discovery. It achieves optimal performance across various tasks, including binary-class DDI and DTI classification, multi-class/multi-label DDIs, and regression tasks.
Recent publications in Quantitative Biology assess AI's potential to improve life science research, including applications in medicine and bioinformatics. Researchers propose frameworks for integrating AI in digital investigation, such as Digital Life Systems, which aims to comprehensively integrate AI into system modeling.
Regular exercise training boosts memory and spatial cognition in obese mice, reducing age-related cognitive decline and inflammation. The study highlights the crucial role of physical activity in preventing obesity-induced cognitive dysfunction and neurodegenerative diseases.
The research team discovered that chloride ions cause a dramatic negative impact on blue PeLEDs' operational lifetime due to their low migration energy barrier. This issue necessitates innovative strategies to immobilize chloride ions within blue perovskite emitters.
Researchers led by Prof. Ray-Hua Horng published a groundbreaking study on the performance of thin-film vertical-cavity surface-emitting lasers (VCSELs) on composite metal substrate, introducing innovative methods to enhance thermal management. The breakthrough technique brings substantial improvements in device characteristics and pot...
Scientists create techniques for fine-tuning surface features and hierarchies using ultrafast lasers. They demonstrate the ability to build complex structures, such as fort-like formations, by controlling in-situ deposition during laser ablation.
Researchers have successfully developed a tapered fiber-based system that can deliver high-energy ultrafast lasers with near-diffraction-limited beam quality. The system achieved pulse energies of up to 126 μJ and peak powers of 207 MW, representing the highest reported values from a monolithic fiber laser.
LIBRA surpasses existing tools in increasing cell-type resolution and predictive power across paired data sets, especially with adaptive parameter optimization (aLIBRA). The tool's performance is significantly boosted by aLIBRA, outperforming other methods in chromatin accessibility prediction.
Researchers developed a Zr-modified-bentonite filled polyvinyl chloride membrane for efficient phosphate removal from low-concentration phosphate solutions. The membrane achieved high removal rates of up to 98.5% in SCAW, making it a promising solution for combating eutrophication and alleviating phosphorus shortages.
Researchers developed a two-step hydrothermal method to transform biomass waste into humic acid, increasing efficiency and reducing dependence on non-renewable resources. The study optimized acidic hydrothermal humification conditions and explored the mechanism of action affecting humification ability in alkaline hydrothermal treatment.
A new multi-level three-dimensional quantum wavelet transform theory is proposed to implement the wavelet transform for quantum videos, offering exponential speed-up over classical counterparts. The proposed wavelet transforms have better compression performance for quantum videos than two-dimension quantum wavelet transforms.
A new research proposes an Iterative Android Automated Testing (IAAT) method that automatically records and integrates User Operation Processes (UOPs) from manual testing. The IAAT method shows a significant improvement in test coverage compared to traditional automated testing methods.
A recent study reveals that intestinal MCT1 regulates inflammation and metabolism in a sex-dimorphic pattern, with male mice showing enhanced glucose tolerance and reduced inflammation, while female mice experience exacerbation of diet-induced obesity. The study suggests that gender-specific treatments are needed for metabolic disorders.
A team of researchers proposes a novel representation learning method based on an integrated autoencoder for unsupervised domain adaptation. They introduce a sparse autoencoder to combine inter- and inner-domain features, improving performance and minimizing deviations in different domains.