74 research outputs found

    Remote Asymmetric Induction: Synthesis of C-Linked \u3b1-Galactoserine and Homoserine Derivatives by Electrophilic Amination

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    A high diastereoselectivity (98%) for electrophilic amination of compound 9 using di-r-butyl azodicarboxyl ester as an electrophile was achieved. A similar reaction with compound 13 having achiral oxazolidinone was studied to examine 1,4-remote asymmetric induction. In the latter, a selectivity of 6.5:1 demonstrated the effect of a-galactosyl moiety, responsible for inducing the induction from the remote siteNRC publication: Ye

    Elevated Serum IL-21 Levels Are Associated With Stable Immune Status in Kidney Transplant Recipients and a Mouse Model of Kidney Transplantation

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    Allograft rejection after renal transplantation remains a challenge to overcome. Interleukin (IL)-21, a cytokine with pleiotropic effects, maintains immune homeostasis post-transplantation. Here, we report higher levels of IL-21 in kidney transplant recipients with non-rejection (NR) than in recipients with T cell-mediated rejection (TCMR, P \u3c 0.001) and antibody-mediated rejection (ABMR, P = 0.005). We observed a negative correlation between IL-21 and creatinine (Cr) levels (P = 0.016). The receiving operating characteristic (ROC) curve showed a promising diagnostic value of IL-21 to identify acute rejection with an area under the curve (AUC) of 0.822 (P \u3c 0.001). In contrast, exogenous administration of IL-21 accelerated acute rejection in a comparative translational kidney transplant (KT) mouse model. Reduced IL-21 levels in the peripheral blood were observed in KT mice after IL-21 injection. Further analysis revealed that increased IL-21 levels in the spleen induced proliferation of CD4+ T cells and CD19+ B cells after IL-21 treatment. Our findings suggest a critical function of IL-21 in kidney transplantation and the potential involvement of the IL-21/IL-21R pathway in acute rejection management

    Stock price crashes in emerging markets

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    This paper studies large price declines of individual stocks in 22 emerging markets. Using analyst reports as a proxy for information arrivals, we find that majority of crashes in emerging markets are not accompanied by information events, and these crashes are followed by price reversals. Further analyses show that crashes in countries with a better information environment or a lower level of openness are less likely to reverse in the short run, suggesting that factors such as information transparency and market integration may shape the large swings in emerging market stock prices

    DYNAMIC EXPLICIT FEM IN WHEELS RADIAL FATIGUE TEST

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    As the static implicit Finite Element Method( FEM) is hard to simulate the wheels radial fatigue test accurately,this paper studies the simulated method with dynamic explicit FEM. It introduces the setting method of finite element,material performance parameter,tire,bolt pretention,weld,rotary drum,radial force,etc. It shown the distribution of stress and surface pressure of wheels,put forward a method to judge analysis result reasonable or not,and introduces the selection method of S-N curve for fatigue analysis. By comparing the FEA and test result,it knows that the dynamic explicit FEM setting method in this paper can get an idea analysis result

    Mechanical properties of silicon in subsurface damage layer from nano-grinding studied by atomistic simulation

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    Ultra-thin silicon wafer is highly demanded by semi-conductor industry. During wafer thinning process, the grinding technology will inevitably induce damage to the surface and subsurface of silicon wafer. To understand the mechanism of subsurface damage (SSD) layer formation and mechanical properties of SSD layer, atomistic simulation is the effective tool to perform the study, since the SSD layer is in the scale of nanometer and hardly to be separated from underneath undamaged silicon. This paper is devoted to understand the formation of SSD layer, and the difference between mechanical properties of damaged silicon in SSD layer and ideal silicon. With the atomistic model, the nano-grinding process could be performed between a silicon workpiece and diamond tool under different grinding speed. To reach a thinnest SSD layer, nano-grinding speed will be optimized in the range of 50-400 m/s. Mechanical properties of six damaged silicon workpieces with different depths of cut will be studied. The SSD layer from each workpiece will be isolated, and a quasi-static tensile test is simulated to perform on the isolated SSD layer. The obtained stress-strain curve is an illustration of overall mechanical properties of SSD layer. By comparing the stress-strain curves of damaged silicon and ideal silicon, a degradation of Young’s modulus, ultimate tensile strength (UTS), and strain at fracture is observed

    A Data Quality Control Method for Seafloor Observatories: The Application of Observed Time Series Data in the East China Sea

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    With the construction and deployment of seafloor observatories around the world, massive amounts of oceanographic measurement data were gathered and transmitted to data centers. The increase in the amount of observed data not only provides support for marine scientific research but also raises the requirements for data quality control, as scientists must ensure that their research outcomes come from high-quality data. In this paper, we first analyzed and defined data quality problems occurring in the East China Sea Seafloor Observatory System (ECSSOS). We then proposed a method to detect and repair the data quality problems of seafloor observatories. Incorporating data statistics and expert knowledge from domain specialists, the proposed method consists of three parts: a general pretest to preprocess data and provide a router for further processing, data outlier detection methods to label suspect data points, and a data interpolation method to fill up missing and suspect data. The autoregressive integrated moving average (ARIMA) model was improved and applied to seafloor observatory data quality control by using a sliding window and cleaning the input modeling data. Furthermore, a quality control flag system was also proposed and applied to describe data quality control results and processing procedure information. The real observed data in ECSSOS were used to implement and test the proposed method. The results demonstrated that the proposed method performed effectively at detecting and repairing data quality problems for seafloor observatory data

    Novel Biocompatible Polysaccharide-Based Eutectogels with Tunable Rheological, Thermal, and Mechanical Properties: The Role of Water

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    The natural deep eutectic solvent (NADES) is an excellent solvent for insoluble natural products and medicines. Eutectogels formed by gelation of NADESs are interesting materials that deserve attention. In this study, xanthan gum was used as a gelator to gel choline chloride-xylitol with different water contents in virtue of the excellent solubility of choline chloride-xylitol (1:1) to quercetin. We observed that water was critical to the formation of eutectogels. An MTT assay indicated that our eutectogel had excellent biocompatibility as its corresponding hydrogel. According to rheological tests, xanthan gum-based eutectogels had better viscoelastic properties, higher thermal stability, and more defined shear thinning behavior than its corresponding hydrogel. Texture profile analysis showed that eutectogels with less water content had higher hardness and adhesiveness. Meanwhile, Differential scanning calorimeter (DSC) results suggested that the various rheological and texture properties of eutectogels could be attributed to changes in the water state, which was influenced by the hydrogen bonding network of NADES. This biocompatible eutectogel with tunable properties was expected to find applications in novel drug delivery vehicles, which are widely used in the fields of medicine and food
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