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    Protective Role of Catechin and Quercetin in Sodium Benzoate-Induced Lipid Peroxidation and the Antioxidant System in Human Erythrocytes In Vitro by Gamze Yetuk, Dilek Pandir, Hatice Bas

    Published 2014-01-01
    “…For this, the effects of SB (6.25, 12.5, 25, 50, and 100 μg/mL), catechin (10 μM), and quercetin (10 μM) on lipid peroxidation (LPO) and the activities of SOD, CAT, GPx, and GST were studied. Significantly higher LPO and lower activities of antioxidant enzymes were observed with the increasing concentrations of SB. …”
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  8. 1348

    Preservation techniques and their effect on nutritional values and microbial population of brewer’s spent grain: a review by Geberemariyam Terefe

    Published 2022-07-01
    “…Therefore, these problems can be solved by utilizing various preservation methods, including drying (solar, freeze, and oven drying), freezing, ensiling (both alone and in combination with other animal feeds), and additives (Silo-King GPX preservatives, xylanase, carbohydrase (econase) and protease (alcalase), urea and lime, sodium formate, calcium propionate, formic and propionic acids, acetic acid, NaCl, NaOH, HCl, and H2SO4).…”
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    Exploring probiotics as a sustainable alternative to antimicrobial growth promoters: mechanisms and benefits in animal health by Angel Sachdeva, Tanu Tomar, Tabarak Malik, Aarti Bains, Arun Karnwal, Arun Karnwal

    Published 2025-01-01
    “…The extensive use of antimicrobial growth promoters (AGPs) in livestock has raised global concerns due to increasing antimicrobial resistance (AMR) among pathogenic microbes. …”
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  10. 1350

    Parallel algorithm for sensitive sequence recognition from long-read genome data with high error rate by Cheng ZHONG, Hui SUN

    Published 2023-02-01
    “…To solve the problem that existing algorithms were difficult to effectively identify sensitive sequences in genomic data for long-read with high error rate, a recognition algorithm using hybrid CPU and GPU parallel computing, called CGPU-F3SR, was proposed.Firstly, the long-read in genomic data were partitioned into multiple short-read, and the Bloom filtering mechanism was used to avoid repeated calculation of the short-read.Secondly, the k-mer coding strategy was used to extract in parallel the error information of all short-read, the recognition accuracy was promoted by improving the sequence similarity calculation model.Finally, CPU and GPU were used to coordinate and parallel to accelerate the calculation of short-read similarity to improve recognition efficiency.As a result, both two types of sensitive sequences including short tandem repeats and disease related sequences could be identified efficiently and accurately from genome data for long-read with high error rate.The experimental results of recognizing sensitive sequences from genomic data for long-read with length 100~400 kbp each show that, compared with existing parallel algorithm, the average recognition accuracy and precision rate of proposed CPU/GPU parallel algorithm CGPU-F3SR are increased by 7.77% and 43.07% respectively, its average false positive rate is reduced by 7.41%, and its average recognition throughput is increased by 2.44 times.…”
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