Publications by authors named "Haichuan Ma"

Accurate analysis of surface water pollution mechanisms is critical for effective environmental restoration and protection. However, evaluation methods for small watersheds with dense populations and complex pollution sources remain limited. This study integrates partial least squares structural equation modeling (PLS-SEM) with fluorescence fingerprinting data from excitation-emission matrix-parallel factor analysis (EEM-PARAFAC) to investigate nutrient sources in rivers of southeastern China.

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Article Synopsis
  • Mariculture is important for food and jobs but can pollute coastal waters, causing problems for nature and communities.
  • This study looked at how mariculture waste affects water quality in Xiangshan Bay, especially focusing on certain types of matter and bacteria in the water.
  • The findings showed that mariculture waste greatly changes the water's natural balance and the types of bacteria living in it, suggesting that it is the main source of pollution in the bay.
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Itaconate is a key anti-inflammatory/antibacterial metabolite in pathogen-macrophage interactions that induces adaptive changes in Pseudomonas aeruginosa-exposed airways. However, the impact and mechanisms underlying itaconate metabolism remain unclear. Our study reveals that itaconate significantly upregulates the expression of pyoverdine in P.

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Background: Surgery is the preferred treatment for rectal cancer, but surgical treatment alone sometimes does not achieve satisfactory results.

Objective: To explore the value of multimodal Magnetic Resonance (MR) images in evaluating T staging of rectal cancer after neoadjuvant therapy and to compare and analyze with pathological results.

Methods: This study retrospectively analyzed 232 patients with stage T3, T4 rectal cancer between January 1, 2017 and October 31, 2022.

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Volumetric image compression has become an urgent task to effectively transmit and store images produced in biological research and clinical practice. At present, the most commonly used volumetric image compression methods are based on wavelet transform, such as JP3D. However, JP3D employs an ideal, separable, global, and fixed wavelet basis to convert input images from pixel domain to frequency domain, which seriously limits its performance.

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Wasserstein generative adversarial network (WGAN) has attracted great attention due to its solid mathematical background, i.e., to minimize the Wasserstein distance between the generated distribution and the distribution of interest.

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Built on deep networks, end-to-end optimized image compression has made impressive progress in the past few years. Previous studies usually adopt a compressive auto-encoder, where the encoder part first converts image into latent features, and then quantizes the features before encoding them into bits. Both the conversion and the quantization incur information loss, resulting in a difficulty to optimally achieve arbitrary compression ratio.

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The bioactivity of enzymes is sensitive to certain factors in their application environment, such as the pH, temperature, ionic strength, and additives, which can alter the native conformation of enzymes. To determine the mechanism by which the interaction of SDS influences the structure and activity of trypsin, molecular docking, molecular dynamics simulations, DSC, and multi-spectroscopic measures including UV absorption, fluorescence, and circular dichroism were used. The results show that the hydrolytic activity towards casein could be dramatically restrained by SDS.

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In this study, nano-ZnO loaded amidoxime-functionalized wool fibers (wool-AO@ZnO) were synthesized by radiation-induced copolymerization and co-precipitation as a novel adsorbent with good antibiofouling properties for uranium recovery. The prepared adsorbent was characterized by SEM-EDS and FT-IR spectroscopy. Batch adsorption experiments showed that the prepared wool-AO@ZnO have a good uranium adsorption property at pH 6.

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