Notes

Performance along with carcass qualities associated with small cows provided with soy bean dinner addressed with tannins.
The one train loading function is applied to the model as a point source at the track level and compared to the two-train scenario. Other simulations are undertaken for sensitivity analysis involving increased loading, decreased damping and decreased distance to tunnels. Even though there are several numerical studies on the propagation of train induced vibrations in the literature; a finite element model accompanied with a sensitivity analysis has not been discussed in detail in a technical publication before. The paper not only presents the finite element modeling but also compares the results with the criteria of Transit Noise and Vibration Impact Assessment Manual, which was published by the Federal Transit Administration (FTA) of the U.S. Department of Transportation. The use of organic-based amendments for gentle remediation options (GRO), i.e. the stabilization of trace elements (TE) in polluted soils and the reduction of their impact on soil microbial and biochemical features, has been constantly growing in last 10 years. To verify the effectiveness of biochar and compost in such context, biochar (1 and 3% w/w), compost (3% w/w) and their combination (compost 2% + biochar 2% w/w) were added to two sub-alkaline soils (FS and MS) contaminated with Sb (41-99 mg kg-1 respectively), As (~18 mg kg-1), and trace metals such as Ni (103-172 mg kg-1 respectively) and Cr (165-132 mg kg-1 respectively). Most of the treatments (especially 3% biochar) reduced labile TE pools (water-soluble and exchangeable) and increased their residual (non-extractable) fractions (e.g. +48, 56, 66, and 68% of residual Sb, As, Cr and Ni in MS-treated soil compared to the untreated control). The amendments addition had both stimulating and inhibiting effects on the activity of soil microbial communities, as shown by the Biolog community level physiological profiles. However, in both soils, 3% biochar produced the highest increase of metabolic potential as well as the use of carboxylic acids and polymers by the soil microbial communities. Likewise, soil dehydrogenase (DHG), β-glucosidase (β-GLU) and urease (URE) activities were significantly enhanced in FS and MS soils treated with 3% biochar (e.g. +77, 48, and 17% for DHG, URE and β-GLU in FS-3% biochar with respect to untreated FS). Overall, the results from this study showed that the amendments investigated (particularly 3% biochar) can be effectively used for GRO of sub-alkaline soils, being able to reduce labile TE and to increase the metabolic potential and actual biochemical activities of the respective soil microbial communities. The manifold environmental implications of such effects are discussed. Silica nanoparticles (SiNPs) have been widely used in human health related products, such as food additives, cosmetics and even drug delivery, gene therapy or bioimaging. Recently, a first-in-human clinical trial based on polyethylene glycol (PEG)-modified SiNPs had been approved by US FDA to trace melanoma. However, as a nano-based drug delivery system, its biocompatibility and vascular toxicity are still largely unknown. Thus, we synthesized the fluorescent SiNPs to explore the biocompatibility and vascular endothelial function, and compare different biological effects caused by PEG-modified and unmodified SiNPs in cells and zebrafish model. The characterizations of SiNPs and PEG-modified SiNPs were analyzed by TEM, SEM, AFM and DLS, which exhibited relatively good stable and dispersive. Compared with SiNPs, PEG-modified SiNPs had markedly reduced the inflammatory response and vascular damage in Tg (fli-1 EGFP) and Tg (mpo GFP) transgenic zebrafish lines, respectively. Consistent with the in vivo results, the PEG-modified SiNPs had been found to significantly decline the levels of ROS, inflammatory cytokines and mitochondrial-mediated apoptosis in vascular endothelial cells compared to SiNPs, and the ROS scavenger NAC could effectively alleviate the above adverse effects induced by nanoparticles. Our results suggested that the PEG-modified SiNPs could become more safety via increasing the biocompatibility and decreasing cellular toxicities in living organisms. The Yangtze River Delta urban agglomeration is an important region in China, but the limited space supports a large scale and high intensity of economic and social activities. To objectively evaluate the Yangtze River Delta urban agglomeration land resources comprehensive supporting capacity (LRCSC), the spatial distribution pattern and the factors affecting the comprehensive supporting capacity's spatial heterogeneity, this study established a three-stage hybrid model, and the model included regional assessment, spatial pattern analysis and source apportionment to quantitatively evaluate the integrated space based on the comprehensive supporting capacity for regional land resources. First, based on the data of 26 cities in the 2016 Yangtze River Delta urban agglomeration and the data of 25 indicators, we calculated the LRCSC index for each city. Then, we visualized the supporting capacity based on the space distribution and used the Pearson correlation coefficient method to determine the factors influencing the comprehensive supporting capacity's spatial heterogeneity. Finally, we used the factor analysis method to further identify the key factors affecting LRCSC. The results show that (1) the horizontal spatial difference of the LRCSC in the Yangtze River Delta urban agglomeration is large, the overall change in the LRCSC index shows the spatial differentiation feature of "gradually decreasing from the centre to the surrounding area", and the local spatial distribution shows the distribution feature of point dispersion and zonal aggregation. check details (2) The degree of correlation between the LRCSC and social development element is the strongest in the element layer and the correlation coefficient between them is 0.548803. Among them, social development is positively correlated with economic technology. (3) The population density and per capita gross domestic product (GDP) are two important factors affecting the spatial differences in LRCSC in the Yangtze River Delta urban agglomerations.
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