Breast milk samples and 24-hour food records were obtained from lactating mothers on day 1 (colostrum), day 14 (transitional milk) and day 42 (mature milk) from Hangzhou (n = 202), Lanzhou (n = 133) and Beijing (n = 142), China. Fatty acid methyl esters were prepared by standard methods, separated and quantified by gas chromatography. We aimed to investigate the fatty acid composition (% of total fatty acid) in human milk of three lactating stages from three regions in China and the relationship with maternal dietary intake during lactation. Present results showed that the fatty acid composition of breast milk varied with lactating period and geographical regions in China. In all the milk samples, the total saturated fatty acid (SFA) remained stable. However, C10:0 and C12:0 increased over the lactation period, total monounsaturated fatty acid (MUFA) significantly increased from colostrum (34.50%) to transitional milk (37.06%), and total polyunsaturated fatty acid (PUFA) showed its highest percentage in colostrum (29.58%). In particular, C22:6n-3 and C22:5n-3 were lowest in mature milk (0.38% and 0.41%, respectively), and C18:3n-3 (1.83%) was lowest in colostrum. There were significant differences among the three regions in total MUFA and PUFA in breast milk. The Hangzhou samples had the lowest C18:1n-9 and highest C22:6n-3. Additionally, C22:6n-3, total PUFA and n-3 PUFA were lowest in the Lanzhou samples. Different dietary habits were largely the drivers behind the different fatty acid profiles among the three regions.

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Chemokines and their receptors play an important role in the development of allograft rejection through directing mononuclear cell invasion of the graft. To study whether chemokine assays in the urine could prove to be predictive of acute rejection, we measured the urinary excretion of several chemokines, including fractalkine, chemokine monokine induced by interferon-gamma, interferon-gamma-inducible protein 10, macrophage inflammatory protein-3 alpha, granzyme B, and perforin in 215 allograft recipients and in 80 healthy control subjects. The 67 patients with acute rejection had significantly higher levels of all urinary chemokines compared to the healthy controls or patients having chronic allograft nephropathy but with stable renal function. Only changes in urinary fractalkine differentiated patients with acute rejection from those with acute tubular necrosis. The 7 patients who lost their grafts had greater urinary fractalkine, interferon-gamma, and macrophage inflammatory protein-3 alpha concentrations than those patients with reversible acute rejection. The area under the receiver operating characteristic curve for fractalkine was the best indicator among all of the markers differentiating 39 patients diagnosed with steroid-resistant from the 28 patients with steroid-sensitive acute rejection and in predicting graft loss. Our study shows that measuring urinary fractalkine levels is a noninvasive approach for detecting acute rejection where high levels were associated with steroid-resistance and poor outcome.

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This paper addresses the stability of a hydro-turbine governing system under hydraulic excitations. During the operation of a hydro-turbine, water hammer with different intensities occurs frequently, resulting in the stochastic change of the cross-sectional area (A) of the penstock. In this study, we first introduce a stochastic variable u to the cross-sectional area (A) of the penstock related to the intensity of water hammer. Using the Chebyshev polynomial approximation, the stochastic hydro-turbine governing model is simplified to its equivalent deterministic model, by which the dynamic characteristics of the stochastic hydro-turbine governing system can be obtained from numerical experiments. From comparisons based on an operational hydropower station, we verify that the stochastic model is suitable for describing the dynamic behaviors of the hydro-turbine governing system in full-scale applications. We also analyze the change laws of the dynamic variables under increasing stochastic intensity. Moreover, the differential coefficient with different values is used to study the stability of the system, and stability of the hydro-turbine flow with the increasing load disturbance is also presented. Finally, all of the above numerical results supply some basis for modeling efficiently the operation of large hydropower stations.

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This study demonstrates that the monitoring of urinary VEGF may be a useful non-invasive approach for the detection of acute rejection. Additionally, urinary VEGF levels were shown to predict the response to anti-rejection therapy and to predict a poor outcome after acute rejection.