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91.
92.
This paper reports a multi-scale structure finite element modeling scheme to analyze the damage behaviors of biaxial multi-layer warp-knitted composite materials subjected to quasi-static and high strain rate compressions. The multi-scale structure model includes: (1) a micro/meso/macro structure model with periodic boundary conditions for homogenizing the heterogeneous fiber/resin system into unit cells, and (2) a macroscopic rate-dependent plasticity model for the knitting composite materials combined with critical damage area failure theory, which accounts for the stiffness degradation and failure strength of the material. The finite element results from the model provide the locations of stress propagation, the stress distribution, and the progressive failure behavior within the biaxial multi-layer warp-knitted composite materials. The effects of the knitted yarns and the element number sensitivity of the macro-scale model have also been discussed. 相似文献
93.
Fengjie Cui Caixia Wan Yebo Li Zhe Liu Gireesh Rajashekara 《Food and Bioprocess Technology》2012,5(4):1278-1286
Lactic acid and cell production from whey permeate by Lactobacillus rhamnosus with different nutrient supplements were investigated in this study. Yeast extract was identified as the most effective nutrient
affecting lactic acid production. Increase in inoculum size from 0.05% to 1% (v/v) resulted in a substantial increase in lactic acid productivity from 0.66 to 0.83 g L−1 h−1 (P < 0.001). The optimal temperature for lactic acid production was 37 °C, while the highest cell production was obtained at
42 °C. When whey permeate and yeast extract concentrations were 6.8% (w/v) and 3 g L−1, respectively, lactic acid productivity reached 0.85 g L−1 h−1 after 48-h cultivation, which is 3.40 times of those without nutrient supplements. 相似文献
94.
为了研究二次纤维的角质化机理并提出抑制方法,实现二次纤维的高效绿色循环利用,综述了基于共结晶角质化机理的纤维素聚集态结构的研究现状和进展,介绍了纤维素聚集态结构模型和氢键链接方式,着重介绍了目前纤维素聚集态结构研究和氢键研究的进展,综述了目前纤维素聚集态研究手段的多样化:计算机分子模拟、广角X衍射衍射(XRD)、交叉极化/魔角旋转固体核磁共振13C(CP/MAS13C NMR),同步辐射XRD衍射、中子衍射和傅里叶红外(FT-IR)。研究内容从对天然纤维素的基本建模深入到分子链水平的原子链接、氢键模式的研究,研究手段经历了从使用单一仪器发展到多种仪器手段辅助表征的过程。纤维素聚集态结构的研究将是二次纤维角质化机理研究以及纤维素化学研究的重要课题。 相似文献
95.
96.
Effects of temperature fluctuation on quality changes of large yellow croaker (Pseudosciaena crocea) with ice storage during logistics process
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97.
Wan J Tokunaga TK Kim Y Brodie E Daly R Hazen TC Firestone MK 《Environmental science & technology》2008,42(20):7573-7579
Bioreduction-based strategies for remediating uranium (U)-contaminated sediments face the challenge of maintaining the reduced status of U for long times. Because groundwater influxes continuously bring in oxidizing terminal electron acceptors (O2, NO3(-)), it is necessary to continue supplying organic carbon (OC) to maintain the reducing environment after U bioreduction is achieved. We tested the influence of OC supply rates on mobility of previously microbial reduced uranium U(IV) in contaminated sediments. We found that high degrees of U mobilization occurred when OC supply rates were high, and when the sediment still contained abundant Fe(III). Although 900 days with low levels of OC supply minimized U mobilization, the sediment redox potential increased with time as did extractable U(VI) fractions. Molecular analyses of total microbial activity demonstrated a positive correlation with OC supply and analyses of Geobacteraceae activity (RT-qPCR of 16S rRNA) indicated continued activity even when the effluent Fe(II) became undetectable. These data support our hypothesis on the mechanisms responsible for remobilization of U under reducing conditions; that microbial respiration caused increased (bi)carbonate concentration and formation of stable uranyl carbonate complexes, thereby shifted U(IV)/U(VI) equilibrium to more reducing potentials. The data also suggested that low OC concentrations could not sustain the reducing condition of the sediment for much longer time. Bioreduced U(IV) is not sustainable in an oxidizing environment for a very long time. 相似文献
98.
The Miao nationality is the sixth largest ethnic group in China which has a history of thousands of years. It has created a unique material culture and spiritual culture in its development process and the Miao costume is a highly condensed collection of the material and spiritual culture of the Miao nationality. As one of the unique symbols of Miao culture the Miao costume has profound cultural heritage and cultural connotations. The patterns of the Miao costume are particularly eye-catching as they not only symbolize the wisdom of the Miao people in thousands of years of production and life but also symbolize the pursuit of the good spirit of the Miao people. However under the impact of modern pop culture and foreign culture these cultural symbols are gradually disappearing. In order to protect and inherit them the Miao costume pattern segmentation has become the most important work. However the Miao costume pattern segmentation is quite difficult. At present there are few studies on the extraction classification identification and preservation of the features of Miao costume pattern segmentation. With the excellent segmentation performance of the U-Net model and the advantages of easy deployment the paper improves the basic structure of the U-Net model and proposes a Miao costume pattern segmentation algorithm based on the RSKP-UNet Residual Selective-Kernel Parallel U-Net model. The algorithm adds Residual modules in the encoder part of the U-Net model to improve the feature extraction capability of the model and embeds the SKNet modules and ParNet modules in the decoder part to enhance the feature expression capability of the model. The paper uses evaluation metrics to measure the segmentation performance of the model and compares it with four segmentation models based on deep learning. The paper not only combines the current research focus-deep learning and attention mechanism but also introduces the Lovász-hinge loss function to effectively solve the problem of class imbalance in the Miao costume patterns. The RSKP-UNet model is better than other models in various segmentation indicators. Compared with the benchmark model U-Net the Dice coefficient IoU precision recall and accuracy are improved by 6. 98% 11. 07% 2. 89% 6. 75% and 3. 92% . The segmentation algorithm proposed in this paper realizes the extraction of the element content of the Miao costume patterns through image segmentation of Miao costume patterns which can be used to build the Miao costume pattern database in this way thus helping designers relevant researchers and organizations to provide research foundation and completing the protection and inheritance of the Miao costume culture. The paper also provides some reference for the segmentation research of other minority costume patterns. © 2022 Authors. All rights reserved. 相似文献
99.
100.
Wen‐Jing Ding Xiao‐Fang Wu Jia‐Sheng Zhong Jin‐Zhi Wan 《International Journal of Food Science & Technology》2014,49(7):1773-1779
This study explored the stability and degradation products of aloin A under varying pH, temperature and light conditions usually encountered in processing. The stability of aloin A was significantly affected by temperature and pH. The content of aloin A decreased by more than 90% within 12 h at 50 °C and within 6 h at 70 °C, respectively. A significant decrease in stability was also observed at higher pHs. At pH 8.0, less than 2% of aloin A remained within 12 h. However, aloin A exhibited good stability at acidic pH levels with 94% remaining at pH 2.0 for 14 days. Light exerted no influence on the stability during the experimental period (14 days). Aloe‐emodin, elgonica‐dimers A and B were characterised as major degradation products of aloin A at pH 5.0 or below, and elgonica‐dimers were mainly formed at 4 °C as well. 10‐hydroxyaloins A and B were found under any condition except at pH 2.0 and 3.0, and they were mainly formed under high temperature, neutral‐basic and any light conditions. 相似文献