Publications by authors named "Zhengfang Wang"

Phytohormone gibberellins (GAs) were utilized to enhance the removal of tetracycline antibiotics and nutrients from swine wastewater by different algal-bacterial symbiosis. Compared to microalgae monoculture, microalgae-activated sludge, and microalgae-, microalgae-endophytic bacteria showed better growth, photosynthetic, and purification performance. At 50 mg L GAs addition concentration, the specific growth rate of -endophytic bacterial (S395-2) system was 0.

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Purpose: To assess the application of generative adversarial networks (GANs) to restore the blurred optical coherence tomography (OCT) images caused by optical media opacity in eyes.

Methods: In this cross-sectional study, a spectral-domain OCT (Zeiss Cirrus 5000, Germany) was used to scan the macula of 510 eyes from 272 Chinese subjects. Optical media opacity was simulated with an algorithm for training set (420 normal eyes).

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Background: The prevalence of cognitive impairment in elderly diabetic patients is increasing, highlighting the importance of exploring strategies to prevent and ameliorate cognitive impairment in this population. Previous studies have focused mostly on improving cognition in elderly diabetic patients through three methods: medication, cognitive training, and lifestyle intervention. However, few studies have investigated the role of indoor biophilic environments in improving cognition.

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Background: Timely and accurate detection of Mycobacterium leprae (M. leprae) is crucial for efficient treatment and early intervention of leprosy, which requires a simple and rapid extraction-free assay.

Methods: A HiFi-loop-mediated isothermal amplification (LAMP) assay was developed for detection of M.

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Background: saturated and unsaturated fatty acid showed a significant link with coronary artery health and disease.

Objective: This study aimed to compare plasma levels of unsaturated fatty acids (UFAs) between individuals with coronary heart disease (CHD) and those without. It also investigated the association between specific UFA ratios and the presence or severity of acute coronary syndrome (ACS).

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The low grade of biogas and the difficulty of treating biogas slurry are the two major bottlenecks limiting the sustainable development of the fermentation engineering. This study investigates the potential role of microalgae-microbial symbiosis and phytohormones in solving this challenge. Chlorella microalgae were combined with endophytic bacteria (S395-2) and Clonostachys fungus to construct symbiotic systems.

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With the growth of the aquaculture industry, antibiotic residues in treated wastewater have become a serious ecological threat. The effects of supplementation with diethyl aminoethyl hexanoate (DA-6) on the removal of tetracycline (TC), ciprofloxacin (CPFX), and sulfamonomethoxine (SMM) from aquaculture wastewater by different microalgae-based systems were examined and systematically analyzed. The results demonstrated that C.

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The formation of symbionts by using different combinations of endophytic bacteria, microalgae, and fungi to purify antibiotics-containing wastewater is an effective and promising biomaterial technology. As it enhances the mixed antibiotics removal performance of the bio-system, this technology is currently extensively studied. Using exogenous supplementation of various low concentrations of the phytohormone strigolactone analogue GR24, the removal of various antibiotics from simulated wastewater was examined.

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Article Synopsis
  • - This research focused on removing common antibiotics from simulated swine wastewater using a combination of microalgae (Chlorella ellipsoidea), bacteria (S395-2), and fungi (Clonostachys rosea) in a symbiotic setup.
  • - The study analyzed how four different phytohormones affected the growth and antibiotic removal capabilities of these organisms, finding that strigolactones (GR24) were the most effective, especially at a concentration of 10 M.
  • - Results showed impressive removal rates of antibiotics: 96.2-99.4% for tetracycline, 75.2-81.1% for sulfonamide, and 66.8-69
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Background: Colorectal cancer (CRC) is a prevalent malignancy of the digestive tract. A new prognostic scoring model for colon adenocarcinoma (COAD) is developed in this study based on the genes involved in tumor cell-mediated killing of T cells (GSTTKs), accurately stratifying COAD patients, thus improving the current status of personalized treatment.

Method: The GEO and TCGA databases served as the sources of the data for the COAD cohort.

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This study assessed the effect of gibberellins (GAs) concentrations on antibiotic and nutrient removal using diverse microalgal-bacterial-fungal consortia. Five systems (Chlorella vulgaris, T1; C. vulgaris + S395-2 + Clonostachys rosea, T2; C.

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The construction of dominant algal species and bacterial strains in algal treatment technology was crucial for pollutant removal. In order to enhance the purification capability of microalgae toward heavy metals in water as well as biogas slurry and biogas, symbiotic systems were respectively constructed using Chlorella vulgaris and two different endogenous bacteria (microalgal endophytic bacteria S395-2 and plant endophytic bacteria BEB7). The results demonstrated that the endogenous bacteria (S395-2 and BEB7) effectively promote the growth, biomass yield, photosynthetic activity, and carbonic anhydrase activity of microalgae.

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To develop and characterize novel antibiotics removal biomaterial technology, we constructed three different bacteria-microalgae-fungi consortiums containing Chlorella vulgaris (C. vulgaris), endophytic bacterium, Clonostachys rosea (C. rosea), Ganoderma lucidum, and Pleurotus pulmonarius.

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Antibiotic misuse are potentially harmful to the environment and human health. Four algal symbionts were constructed using Chlorella vulgaris, endophytic bacterium and Clonostachys rosea (C. rosea) as the biomaterials.

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We propose monolithically integrated electro-optical modulators based on thin-film x-cut barium titanate that exhibit large modulation bandwidth and operate at voltages compatible with complementary metal-oxide-semiconductor technology. The optical and radio frequency parameters of the modulator are systematically simulated, calculated, and optimized, respectively. Our simulation includes the evaluation of single-mode conditions, the separation distance between the electrode edge and the waveguide edge, bending loss, optical field distribution, and half-wave voltage-length product for optical parameters, and characteristic impedance, attenuation constant, radio frequency effective index, and -3 modulation bandwidth for radio frequency parameters.

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In this study, we investigated the performance and elucidated the synergistic effects of microalgae-fungi symbionts co-cultured with 10 and 10  mol L of GR24 and supplemented with endophytic bacteria, multi-walled carbon nanotubes (MWCNTs) or vitamin B12 (VB12), on nutrient removal and biogas upgrading. The results showed that the microalgae-fungi-bacteria symbiotic system co-cultured with 10  mol L GR24 presented the optimal growth performance of 0.368 ± 0.

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The treatment of biogas slurry by microalgae technology has the characteristics of low cost, environmental protection, and high efficiency. In this paper, the effects of four microalgae technologies, namely, monoculture of Scenedesmus obliquus (S. obliquus), co-culture of S.

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This study aimed to determine the best fungi to form the algal-bacterial-fungal symbionts and identify the optimal conditions for the synchronous processing of biogas slurry and biogas. Chlorella vulgaris (C. vulgaris) and endophytic bacteria (S395-2) isolated from it, and four different fungi (Ganoderma lucidum, Pleurotus ostreatus, Pleurotus geesteranus, and Pleurotus corucopiae) were used to form different symbiotic systems.

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A biogas slurry composed of carbon, nitrogen, phosphorus, and antibiotics was generated. Investigations into the nutrient and tetracycline removal performance of four microalgae-based contaminant removal technologies, including Chlorella vulgaris, C. vulgaris co-cultured with endophytic bacteria, C.

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Objective: To investigate the expression level and prognostic value of miR-21, miR-18a, miR-146a, and Let-7b derived from serum exosomes in patients with multiple myeloma (MM).

Methods: Serum exosomes were extracted from 57 MM patients and 20 healthy persons using ExoQuick exosome precipitation solution kit, and the relative expression level of miR-21, miR-18a, miR-146a, and Let-7b derived from serum exosomes was measured by RT-qPCR. Correlations of the expression levels of all miRNAs mentioned above with routine laboratory parameters were analyzed by Spearman correlation analysis.

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Decomposition in seafood products in the United States is monitored by the Food and Drug Administration (FDA) laboratories using sensory testing, which requires highly trained analysts. A large-volume headspace (LVHS) gas chromatography/mass spectrometry (GC/MS) method was developed to generate analytical results that can be directly compared to sensory evaluation. Headspace vapor was withdrawn from a 1-L vial containing 50 g seafood sample using a large volume headspace autosampler.

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Background: The rapid spread of pneumonia caused by SARS-CoV-2 has seriously threatened people. In this study, we detected the expression of anti-SARS-CoV-2 IgG/IgM and respiratory tract SARS-CoV-2 RNA in patients with COVID-19 and explored the correlation and clinical significance between SARS-CoV-2 antibody and respiratory SARS-CoV-2 RNA.

Methods: From March 5, 2020 to April 28, 2020, 48 cases with COVID-19 diagnosed in Beijing Xiaotangshan Hospital were enrolled.

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The potential effect of long-term exposure to ambient air pollutants on low-grade systematic inflammation has seldom been evaluated taking indoor air pollution and self-protection behaviors on smog days into account. A total of 24,346 participants at baseline were included to conduct a cross-sectional study. The annual (2016) average pollutant concentrations were assessed by air monitoring stations for PM, PM, SO, NO, O and CO.

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The travel time computation of microseismic waves in different directions (particularly, the diagonal direction) in three-dimensional space has been found to be inaccurate, which seriously affects the localization accuracy of three-dimensional microseismic sources. In order to solve this problem, this research study developed a method of calculating the P-wave travel time based on a 3D high-order fast marching method (3D_H_FMM). This study focused on designing a high-order finite-difference operator in order to realize the accurate calculation of the P-wave travel time in three-dimensional space.

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