594 research outputs found
Supplemental Materials for the manuscript entitled "Accumulation in visceral adipose tissue over six years is associated with lower paraspinal muscle density"
No full textSupplemental Materials for the manuscript entitled "Accumulation in visceral adipose tissue over six years is associated with lower paraspinal muscle density
Dynamic Current-Matching Charge Pump and Gated-Offset Linearization Technique for Delta-Sigma Fractional-N PLLs
No full textInhibitory Effect of Various Doses of Acetylsalicylic Acid on Platelet Function in Patients with Completed Stroke or Reversible Ischemic Neurological Deficit
No full textStudies of Platelet Hyperactivity in Patients with Ischemic Cerebrovascular Disease. I. Changes of Platelet Aggregation-Emphasis on Hypoaggregation in Vitro Secondary to Hyperactivation in Vivo
No full textExpression of enterovirus 71 virus-like particles in transgenic enoki (Flammulina velutipes).
No full textNo commercial vaccines are currently available for enterovirus 71 (EV71) infection. Oral virus-like particle (VLP) vaccines are regarded as a better choice for prevention from food-borne diseases compared with injected whole virus vaccines. Unfortunately, the application of oral VLP vaccines produced from transgenic plants was limited due to the concerns of gene contamination. Alternatively, using transgenic mushrooms retains the advantages of transgenic plants and tremendously reduce risks of gene contamination. Polycistronic expression vectors harboring the glyceraldehyde-3-phospho-dehydrogenase promoter to codrive EV71 structural protein P1 and protease 3C using the 2A peptide of porcine teschovirus-1 were constructed and introduced into Flammulina velutipes via Agrobacterium tumefaciens-mediated transformation. The analyses of the genomic PCR, Southern blotting, and RT-PCR showed that the genes of P1 and 3C were integrated into the chromosomal DNA through a single insertion, and their resulting mRNAs were transcribed. The Western blotting analysis combined with LC-MS/MS demonstrated that EV71 VLPs were composed of the four subunit proteins digested from P1 polyprotein by 3C protease. Through the use of a single particle electron microscope, images of 1705 particles with diameter similar to the EV71 viron were used for 3D reconstruction. Protrusions were observed on the surface in the 2D class averages, and a 3D reconstruction of the VLPs was obtained. In conclusion, EV71 VLPs were successfully produced in transgenic F. velutipes using a polycistronic expression strategy, which indicates that this approach is promising for the development of oral vaccines produced in mushrooms
Phase diagram study of the Ti-Al-V-Cr-Nb high-entropy alloy system with Zr addition
No full textIn this study, several (Ti-Al-V-Cr-Nb-Zr) six-element high-entropy alloy simulation phase diagrams were verified: (1) (Ti-Al-V-Cr)95-xZr5Nbx(x=0,4,9), (2) Ti-rich (Ti-Al-V-Cr-Nb)Zr5 cross-section, these simulated phase diagrams are calculated from the CALPHAD phase diagram according to the thermodynamic principles. And multiple points were verified at 900\uc2\ub0C and 700\uc2\ub0C in each section of the phase diagram respectively. And then compare with the results of the quinary (Ti-Al-V-Cr-Nb) simulation phase diagram verification by Tong- You Liu to observe the effect of adding Zr element on this quinary system alloy. The composition of the alloys are analyzed by electron probe micro-analyze (EPMA) and the phase structure is identified by X-ray powder diffractometer (XRD). And finally the hardness of each alloy was measured by Vickers hardness tester.
It is observed in the cross-sectional phase diagram of (Ti-Al-V-Cr)95-xZr5Nbx(x=0,4,9) that the thermal equilibrium phase at 900\uc2\ub0C is composed of B2 phase, Laves -C14 phase and Ti3Al phase , and the precipitation of Laves phase increases; the thermal equilibrium phase at 700\uc2\ub0C is composed of B2 phase and Laves-C14 phase, and fine Laves-C14 phase can be observed in the base phase.
In the simulation phase diagram cross-section (Ti-Al-V-Cr)95-xZr5Nbx(x=0~15.6), the thermal equilibrium phase at 900\uc2\ub0C is composed of B2 phase, Laves-C14 phase and Ti3Al phase, and precipitation of Nb-rich \ucf phase was observed with increasing Nb content.
In the cross-sectional phase diagram of Ti-rich Ti100-4xAlxVxCrx (x=5~15) with 5at% Zr added, the thermal equilibrium phase when the content of Ti is high, the base phase is A2 phase, and a small amount of Laves-C15 phase and TiAl3 phase are precipitated. When the content of Ti decreased and the content of other elements increased, it was observed that the precipitation phase gradually refined and the precipitation amount of Laves-C15 phase increased
Dimension reduction methods for nonlinear association analysis with applications to omics data
No full textWith advances in high-throughput techniques, the availability of large-scale omics data has revolutionized the fields of medicine and biology, and has offered a better understanding of the underlying biological mechanisms. However, the high-dimensionality and the unknown association structure between different data types make statistical integration analyses challenging. In this dissertation, we develop three dimensionality reduction methods to detect nonlinear association structure using omics data. First, we propose a method for variable selection in a nonparametric additive quantile regression framework. We enforce a network regularization to incorporate information encoded by known networks. To account for nonlinear associations, we approximate the additive functional effect of each predictor with the expansion of a B-spline basis. We implement the group Lasso penalty to achieve sparsity. We define the network-constrained penalty by regulating the difference between the effect functions of any two linked genes (predictors) in the network. Simulation studies show that our proposed method performs well in identifying truly associated genes with fewer falsely associated genes than alternative approaches. Second, we develop a canonical correlation analysis (CCA)-based method, canonical distance correlation analysis (CDCA), and leverage the distance correlation to capture the overall association between two sets of variables. The CDCA allows untangling linear and nonlinear dependence structures. Third, we develop the sparse CDCA (sCDCA) method to achieve sparsity and improve result interpretability by adding penalties on the loadings from the CDCA. The sCDCA method can be applied to data with large dimensionality and small sample size. We develop iterative majorization-minimization-based coordinate descent algorithms to compute the loadings in the CDCA and sCDCA methods. Simulation studies show that the proposed CDCA and sCDCA approaches have better performance than classical CCA and sparse CCA (sCCA) in nonlinear settings and have similar performance in linear association settings. We apply the proposed methods to the Framingham Heart Study (FHS) to identify body mass index associated genes, the association structure between metabolic disorders and metabolite profiles, and a subset of metabolites and their associated type 2 diabetes (T2D)-related genes.2023-11-05T00:00:00
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