Publications by authors named "Minghui Wu"
Owing to the massive refractory lignocellulose and leachate-organic loads, the stabilization of municipal solid waste (MSW) landfill is often prolonged, resulting in environmental burdens. Herein, various assembled multifunctional microbial inoculums (MMIs) were introduced into the semi-aerobic bioreactor landfill (SABL) to investigate the bioaugmentation impacts. Compared to control (CK) and other MMIs treatments (G1-G3), LD + LT + DM inoculation (G4) significantly increased volatile solids degradation (9.
View Article and Find Full Text PDFCoccidiosis, caused by different species of parasites, is an economically important disease in poultry and livestock worldwide. This study aimed to investigate the changes in the ileal microbiota and fecal metabolites in chickens after repeated infections with low-dose . The chickens developed solid immunity against a high dose of infection after repeated infections with low-dose .
View Article and Find Full Text PDFExogenous additives can impact organic matter transformation in composting, but their effects on nitrogen conversion and humification in straw composting require clarification. This study investigated how rice husk biochar-loaded microbial agent (RM) affects nitrogen transformation and humification during straw composting. Results showed that the addition of RM enhanced ammonia oxidation and assimilation during composting, leading to a 10.
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- - Aflatoxin B1 (AFB1) is a harmful mycotoxin, and a bacterial consortium named HS-1 was discovered to effectively degrade and detoxify it through multi-omics and cultivation-based approaches.
- - Key bacterial groups involved in AFB1 biotransformation were identified primarily from the phyla Proteobacteria and Actinobacteria, with Paracoccus-related bacteria showing the highest activity in the consortium.
- - A novel strain, Paracoccus sp. XF-30, containing a unique peroxidase enzyme that degrades AFB1 was isolated, indicating a potential resource for further research and application in bioremediation efforts.
Article Synopsis
- - A new term, small and vulnerable newborns (SVN), is proposed to collectively assess preterm births, small for gestational age (SGA), and low birth weight (LBW) in identifying high-risk newborns.
- - The incidence of high-risk newborns has increased from 9.82% to 10.96% between 2013 and 2022 among a study of over 2 million newborns, highlighting the importance of the SVN definition which incorporates various risk factors like maternal age, first-time motherhood, and multiple births.
- - Public health practices should adopt this new framework to better identify and address high-risk cases, particularly focusing on preventing issues related to multiple births and the implications for first
Article Synopsis
- Socioeconomic development has led to more older pregnancies and women having multiple children, which poses risks to both mothers and infants.
- The report highlights that as the number of previous pregnancies (parities) increases, there are more older mothers and less women with higher education, while these women are also more likely to experience preterm births and larger babies.
- Understanding pregnancy characteristics based on the number of past pregnancies can help create targeted public health strategies to improve pregnancy outcomes.*
Article Synopsis
- The study focuses on creating porous carbon frameworks that are dual-doped with nitrogen and chlorine, which can enhance efficiency in oxygen reduction reactions (ORR) due to their adjustable chemical and electronic properties.
- Using a straightforward method, researchers fabricated a carbon framework, CCTF-700, that showed impressive ORR performance, outperforming the widely used platinum catalyst.
- The findings suggest a promising approach for developing efficient metal-free carbon catalysts, potentially advancing energy conversion technologies.
Article Synopsis
- A new gradient filtration method was developed to efficiently isolate OMVs from probiotic Nissle 1917 bacteria, proving to be about twice as effective as traditional ultracentrifugation and enabling large-scale production while preserving their biological activity.
- The isolated OMVs were shown to be taken up by macrophages and induced the release of both pro-inflammatory and anti-inflammatory cytokines, with a stronger anti-inflammatory response, aligning with existing research findings.
T-helper 17 cells and regulatory T cells (Treg) are critical regulators in the pathogenesis of multiple sclerosis (MS) but the factors affecting Treg/Th17 balance remains largely unknown. Redox balance is crucial to maintaining immune homeostasis and reducing the severity of MS but the underlying mechanisms are unclear yet. Herein, we tested the hypothesis that peroxynitrite, a representative molecule of reactive nitrogen species (RNS), could inhibit peripheral Treg cells, disrupt Treg/Th17 balance and aggravate MS pathology by inducing nitration of interleukin-2 receptor (IL-2R) and down-regulating RAS/JNK-AP-1 signalling pathway.
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- Diffusive metasurfaces are gaining attention for their ability to reduce radar cross sections, making them useful for stealth technology.
- The study presents a method to design both tunable and non-tunable diffusive metasurfaces using transverse magnetized ferrite, employing metal plates and TMF configurations.
- The tunable metasurfaces can adjust operating frequencies with a magnetic field, while the non-tunable type has a broader operational range, showcasing advanced stealth capabilities at microwave frequencies.
Dearomatization of indoles through a charge transfer complex constitutes a powerful tool for synthesizing three-dimensional constrained structures. However, the implementation of this strategy for the dearomatization of tryptamine-derived isocyanides to generate spirocyclic scaffolds remains underdeveloped. In this work, we have demonstrated the ability of tryptamine-derived isocyanides to form aggregates at higher concentration, enabling a single electron transfer step to generate carbon-based-radical intermediates.
View Article and Find Full Text PDFAddressing marine oil spills and industrial water pollution necessitates the development of eco-efficient oil-absorbing materials. With increasing concern for the environment, there is a consensus to decrease the use of petroleum-based polymers. Herein, lightweight poly(lactic acid) (PLA) blend foams with varying thermoplastic polyurethane (TPU) content were fabricated via a solvent-free, eco-friendly supercritical carbon dioxide (scCO) extrusion foaming technology.
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- Mucosal antibodies in the upper respiratory tract are crucial for preventing respiratory infections, and a new microfluidic particle counter has been developed to visualize these antibodies in nasal mucus.* -
- This device detects anti-SARS-CoV-2 antibodies by creating a complex with modified microparticles, allowing for sensitive and rapid measurements of antibody levels in nasal secretions.* -
- In tests with samples from vaccinated individuals, the microfluidic counter showed results similar to traditional methods, suggesting it could help assess immune protection and inform vaccination strategies.*
Innovatively, we consider stomatal detection as rotated object detection and provide an end-to-end, batch, rotated, real-time stomatal density and aperture size intelligent detection and identification system, RotatedeStomataNet. Stomata acts as a pathway for air and water vapor in the course of respiration, transpiration, and other gas metabolism, so the stomata phenotype is important for plant growth and development. Intelligent detection of high-throughput stoma is a key issue.
View Article and Find Full Text PDFGeneral Hyperspectral Image Super-Resolution via Meta-Transfer Learning.
IEEE Trans Neural Netw Learn Syst
April 2024
Article Synopsis
- - Recent advancements in deep learning have improved hyperspectral super-resolution (SR), but data scarcity and high dimensionality pose challenges for model learning and generalizability.
- - To tackle these issues, a novel hyperspectral SR framework using meta-transfer learning (MTL) is introduced, which samples different spectral ranges and employs a structured task schedule to enhance model diversity and performance across varying datasets.
- - The proposed method demonstrates enhanced adaptability and effectiveness, achieving significant improvements in both visual quality and quantitative metrics, and can be integrated with existing techniques for further performance upgrades.
Article Synopsis
- Forest management positively impacts Qinghai spruce growth and resilience post-drought, particularly concerning the associated phyllosphere microbiome.
- The study found that managed forests exhibited increased bacterial community diversity and stability, while community complexity decreased.
- Changes in community assembly processes under forest management suggested a stronger deterministic influence over stochastic factors, ultimately aiding in better tree growth and microbiome health.
Urbanization leads to dramatic changes in habitat quality, which significantly affects population health. Research on the coupling coordination relationship between new urbanization and health production efficiency is conducive to improving residents' well-being and urban sustainable development. In this article, we adopted the super-efficient SBM model and entropy value method separately to evaluate the spatiotemporal variation characteristics of health production efficiency and new urbanization in China.
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- * The study introduces a method for measuring cellular temperatures using naphthopyrans that can change properties based on temperature, allowing scientists to create nanomaterials that sense temperature effectively.
- * The researchers demonstrated this technique by monitoring temperature changes in cell lysosomes caused by gold nanorods, suggesting potential new applications in biological sensors.
Article Synopsis
- The study aimed to assess the effectiveness and safety of foot baths using Tangbi Waixi Decoction for patients with diabetic peripheral neuropathy (DPN) through a multicenter double-blinded randomized controlled trial.
- A total of 632 patients participated, receiving either a high or low dose of herbal treatment for two weeks, with results showing improvements in nerve function and reduced pain scores in both groups after 12 weeks.
- However, the lower dose was found to be more effective than the higher dose, and overall, there were no significant differences in adverse events between the treatment and control groups, indicating the treatment was safe.
SLPA-Net: A Real-Time Recognition Network for Intelligent Stomata Localization and Phenotypic Analysis.
IEEE/ACM Trans Comput Biol Bioinform
June 2024
Article Synopsis
- Plant stomatal phenotype traits enhance crop water efficiency, stress resilience, and yield, but current manual measurement methods are slow and labor-intensive.
- A new real-time recognition network called SLPA-Net was developed for quick and accurate stomata localization and phenotypic analysis using ellipse fitting to extract data like stomatal apertures.
- The introduction of ECANet improved the accuracy of locating small stomata, and a new Focal EIoU Loss function addressed imbalances in the data, making SLPA-Net effective in detecting and identifying stomata and related traits compared to traditional methods.
Biological voltage-gated ion channels, which behave as life's transistors, regulate ion transport precisely and selectively through atomic-scale selectivity filters to sustain important life activities. By this inspiration, voltage-adaptable ionic transistors that use ions as signal carriers may provide an alternative information processing unit beyond solid-state electronic devices. This review provides a comprehensive overview of the first generation of biomimetic ionic transistors, including their operating mechanisms, device architecture development, and property characterizations.
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- - The study emphasizes the importance of maintaining a healthy eco-environment for sustainable development and introduces the space-time cube (STC) model to better analyze ecological conditions over time and space in the Han River basin from 2000 to 2020.
- - It categorizes the basin into three watershed types (forest, cultivated land, and artificial surface) and uses remote sensing to assess ecological quality, revealing that forests had the best quality while artificial surfaces had the worst.
- - The research identifies major influences on ecological quality, noting that human activity and environmental factors like precipitation and land use affect it, and highlights a significant relationship between declining ecological quality and increased water eutrophication, providing insights for future ecological restoration efforts.
Article Synopsis
- The increasing incidence of stroke and hemiplegia in China highlights the need for effective rehabilitation methods, leading to the integration of rehabilitation robots in therapy.
- Traditional robots lack the ability to adaptively modify training parameters based on the patient's rehabilitation status, potentially limiting their effectiveness.
- A new rehabilitation robot platform utilizing an adaptive impedance control strategy was developed, demonstrating improved efficacy in assisting stroke patients by adjusting robotic support based on individual needs.
The binary compound MgSb (also written as MgMgSb) exhibits a much lower lattice thermal conductivity (κL) than its ternary analog CaMgSb, despite its relatively low mass density and simple crystalline structure. Here, we perform a comparative first-principles study of the lattice dynamics in MgMgSb and CaMgSb based on the density functional theory, together with the self-consistent phonon theory and the Boltzmann transport theory. We show that the modest anharmonicity of CaMgSb renders the three-phonon processes dominant, and the temperature dependence of approximately follows the T-1 relationship.
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- The rise of emerging viruses necessitates effective identification of their hosts to safeguard human and animal health, yet traditional methods of host identification are time-consuming and labor-intensive.
- HostNet, a new deep learning framework, incorporates advanced techniques like Transformer-CNN-BiGRU and enhanced sequence representation modules to improve predictions of virus-host relationships while addressing issues of data imbalance and deficiency.
- Testing on datasets related to Rabies lyssavirus and Flavivirus demonstrates that HostNet outperforms existing methods in accuracy and reliability, showcasing its potential as a valuable tool for predicting virus hosts.