Magnetoelectric Coupling and Electric Control of Magnetization in Ferromagnet-Ferroelectric-Metal Superlattices

Ferromagnet-ferroelectric-metal superlattices are proposed to realize the large room-temperature magnetoelectric effect. Spin dependent electron screening is the fundamental mechanism at the microscopic level. We also predict an electric control of magnetization in this structure. The naturally broken inversion symmetry in our tri-component structure introduces a magnetoelectric coupling energy of $P M^2$. Such a magnetoelectric coupling effect is general in ferromagnet-ferroelectric heterostructures, independent of particular chemical or physical bonding, and will play an important role in the field of multiferroics.Comment: 5 pages including 3 figures and 1 tabl

Strong correlation of the neutron star core-crust transition density with the σ\sigma-meson mass via vacuum polarization

We study the neutron star core-crust transition density $\rho_t$ with the inclusion of the vacuum polarization in the dielectric function in the nonlinear relativistic Hartree approach (RHAn). It is found that the strong correlation between the $\rho_{t}$ and the scalar meson mass $m_{\sigma}$ strikingly overwhelms the uncertainty of the nuclear equation of state in the RHAn models, in contrast to the usual awareness that $\rho_{t}$ is predominantly sensitive to the isovector nuclear potential and symmetry energy. The accurate extraction of $\rho_{t}$ through the future gravitational wave measurements can thus provide a strong constraint on the longstanding uncertainty of $m_{\sigma}$, which is of significance to better infer the vacuum property. As an astrophysical implication, it suggests that the correlation between $\rho_t$ and $m_\sigma$ is very favorable to reconcile the difficulty in reproducing the large crustal moment of inertia for the pulsar glitches with the well constrained symmetry energy.Comment: 11 pages, 4 figure

Evaluation of parameters affecting Agrobacterium-mediated transient expression in citrus

Abstract Agrobacterium-mediated transient expression assays are a convenient alternative to stable expression because they are simple, easy to perform, and achieve gene expression rapidly. This study investigated the factors affecting transient gene expression efficiency in citrus by observing the cryo-sectioning of leaf samples under a laser confocal microscope. These factors included the composition of the infiltration buffer, the Agrobacterium cell density, the leaf development stage, the incubation temperature, and plant genotype. The highest transient expression level of yellow fluorescent protein (YFP) was detected in Mexican lime (Citrus aurantifolia) on the third day after the intermediate-aged leaves were infiltrated with the improved infiltration buffer 1 (15 mmol L−1 2-(N-morpholino) ethanesulfonic acid, 10 mmol L−1 MgCI2, and 200 pmol L−1 acetosyringone), which had an optical density of 0.8 and was incubated at 22°C. Additionally, this transient expression assay was applied to other citrus genotypes. Of note, trifoliate orange (Poncirus trifoliata) and kumquat (Fortunella obovate) had higher expression efficiency than other six genotypes of the Citrus genus. Our study provides research basis for the selection of optimization strategies in transient gene expression and improves the method for available genome investigation in citrus

Analysis of serum homocysteine concentration in patients less than 35 years of age with polycystic ovary syndrome and hyperandrogenism

Objectives: An increase in homocysteine (Hcy) concentration is closely related to polycystic ovary syndrome (PCOS). This study aimed to further explore serum homocysteine concentration and its influencing factors in clinically young (≤ 35 years) patients with PCOS and hyperandrogenism. Material and methods: An electrochemical immunoassay was used to investigate the changes in serum homocysteine and related indexes in clinically young patients with PCOS and hyperandrogenism, and the results were statistically analyzed. Results: Serum homocysteine concentration in clinically young patients with PCOS and hyperandrogenism (n = 208) was found to be significantly higher than in the control group (n = 663) (15.21 ± 9.99 vs. 12.56 ± 7.20 μmol/L, p < 0.0001), and the total testosterone concentration (1.65 ± 0.68 ng/mL) was higher in the PCOS group than in the control group (1.52 ± 0.58 ng/mL), p = 0.007. The receiver operating characteristic curve showed that the area under the curve of homocysteine in predicting PCOS was 0.606, and the 95% confidence interval (CI) was 0.563–0.650 (p < 0.001). The homocysteine concentrations of the two groups were graded, and it was found that the percentage of patients with homocysteine levels > 15 μmol/L was 26.92% in the PCOS group and 19.15% in the control group; the difference between the two groups was statistically significant (p = 0.0143). The serum homocysteine levels of the two groups were higher in obese patients than in non-obese patients (normal weight vs. overweight), and the difference in the control group was statistically significant. Conclusions: Serum homocysteine concentration in clinically young patients with PCOS and hyperandrogenism is elevated, so hyperhomocysteinemia can be used as one of the potential indicators of PCOS. In the process of the diagnosis and treatment of patients with PCOS, serum homocysteine concentration and body weight should both be considered

Integrated bioinformatics analysis of As, Au, Cd, Pb and Cu heavy metal responsive marker genes through Arabidopsis thaliana GEO datasets

Background Current environmental pollution factors, particularly the distribution and diffusion of heavy metals in soil and water, are a high risk to local environments and humans. Despite striking advances in methods to detect contaminants by a variety of chemical and physical solutions, these methods have inherent limitations such as small dimensions and very low coverage. Therefore, identifying novel contaminant biomarkers are urgently needed. Methods To better track heavy metal contaminations in soil and water, integrated bioinformatics analysis to identify biomarkers of relevant heavy metal, such as As, Cd, Pb and Cu, is a suitable method for long-term and large-scale surveys of such heavy metal pollutants. Subsequently, the accuracy and stability of the results screened were experimentally validated by quantitative PCR experiment. Results We obtained 168 differentially expressed genes (DEGs) which contained 59 up-regulated genes and 109 down-regulated genes through comparative bioinformatics analyses. Subsequently, the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments of these DEGs were performed, respectively. GO analyses found that these DEGs were mainly related to responses to chemicals, responses to stimulus, responses to stress, responses to abiotic stimulus, and so on. KEGG pathway analyses of DEGs were mainly involved in the protein degradation process and other biologic process, such as the phenylpropanoid biosynthesis pathways and nitrogen metabolism. Moreover, we also speculated that nine candidate core biomarker genes (namely, NILR1, PGPS1, WRKY33, BCS1, AR781, CYP81D8, NR1, EAP1 and MYB15) might be tightly correlated with the response or transport of heavy metals. Finally, experimental results displayed that these genes had the same expression trend response to different stresses as mentioned above (Cd, Pb and Cu) and no mentioned above (Zn and Cr). Conclusion In general, the identified biomarker genes could help us understand the potential molecular mechanisms or signaling pathways responsive to heavy metal stress in plants, and could be applied as marker genes to track heavy metal pollution in soil and water through detecting their expression in plants growing in those environments

Three-level Back-to-Back Converter Simulation for Wind Turbine Energy Source

AbstractThis paper presents the simulation of three-level back-to-back converter for wind turbine energy source. For this paper, it will be focused on wind turbine energy source and determined the voltage from wind turbine energy source being regular value. The operation of the converter can be simulated by using MATLAB/SIMULINK program. Moreover, the voltage and current of the converter can be properly controlled by SVPWM. The simulation results shown that the output current waveform have signal distortion less than the input current waveform, and also the output voltage waveform is more than the input as well. Therefore, this converter can convert the voltage and current from the AC to DC and from the DC to AC for more performance, and it can be connected to the grid

Research on Quality Dynamics and Shelf Life Prediction of Yogurt under Different Storage Conditions

In order to study the dynamic law of the quality change in low temperature yogurts,yogurts were stored at temperatures of 4 ℃,15 ℃,25 ℃ and 30 ℃ respectively,and the changes in protein level,fat level,acidity level,particle size,color,texture and total number of colonies were observed.The regression equation analysis shows that the changes of a* redness value (at 15℃,25℃ and 30 ℃),total color difference ΔE,colony number (at 4 ℃,15 ℃ and 25 ℃),softness and consistency (at 15 ℃ and 25 ℃)match the Zero-order kinetic model,while the changes of titratable acidity and b* yellowness value match the First-order kinetic model.The established shelf-life prediction model equation provides insights in the adjustment of storage and transportation conditions of low-temperature milk products,as well as quality monitoring during the storage period

Enhanced antitumor immunity by targeting dendritic cells with tumor cell lysate-loaded chitosan nanoparticles vaccine

Whole tumor cell lysates (TCL) have been implemented as tumor antigens for cancer vaccine development, although clinical outcomes of TCL-based antitumor immunotherapy remain unsatisfactory. In order to improve the efficacy of TCL-based vaccines, biomaterials have been employed to enhance antigen delivery and presentation. Here, we have developed chitosan nanoparticles (CTS NPs) with surface mannose (Man) moieties for specific dendritic cells (DCs) targeting (Man-CTS NPs). The Man-CTS NPs were then loaded with TCL generated from B16 melanoma cells (Man-CTS-TCL NPs) for in vitro and in vivo assessment. Potency of the Man-CTS-TCL NPs as cancer vaccine was also assessed in vivo by immunization of mice with Man-CTS-TCL NPs followed by re-challenge with B16 melanoma cell inoculation. We have shown here that Man-CTS-TCL NPs promote bone marrow-derived dendritic cells (BMDCs) maturation and antigen presentation in vitro. In vivo evaluation further demonstrated that the Man-CTS-TCL NPs were readily taken up by endogenous DCs within the draining lymph node (DLN) following subcutaneous administration accompanied by increasing in serum IFN-γ and IL-4 levels. Tumor growth was also significantly delayed in mice primed with Man-CTS-TCL NPs vaccine, attributable at least in part to cytotoxic T lymphocytes response. Moreover, Man-CTS-TCL NPs vaccine also exhibited therapeutic effects in mice with melanoma. Thus, we report here the Man-CTS-TCL NPs as effective anti-tumor vaccine for cancer immunotherapy

Effects of tricalcium silicate cements on osteogenic differentiation of human bone marrow-derived mesenchymal stem cells in vitro

Tricalcium silicate cements have been successfully employed in the biomedical field as bioactive bone and dentin substitutes, with widely acclaimed osteoactive properties. This research analyzed the effects of different tricalcium silicate cement formulations on the temporal osteoactivity profile of human bone marrow-derived mesenchymal stem cells (hMW-MSCs). These cells were exposed to four commercially available tricalcium silicate cement formulations in osteogenic differentiation medium. After 1, 3, 7 and 10 days, quantitative real-time polymerase chain reaction and Western blotting were performed to detect expression of the target osteogenic markers ALP, RUNX2, OSX, OPN, MSX2 and OCN. After 3, 7, 14 and 21 days, alkaline phosphatase assay was performed to detect changes in intracellular enzyme level. An Alizarin Red S assay was performed after 28 days to detect extracellular matrix mineralization. In the presence of tricalcium silicate cements, target osteogenic markers were downregulated at the mRNA and protein levels at all time points. Intracellular alkaline phosphatase enzyme levels and extracellular mineralization of the experimental groups were not significantly different from the untreated control. Quantitative polymerase chain reaction results showed increases in downregulation of RUNX2, OSX, MSX2 and OCN with increasing time of exposure to the tricalcium silicate cements, while ALP showed peak downregulation at day 7. For Western blotting, OSX, OPN, MSX2 and OCN showed increased downregulation with increased exposure time to the tested cements. Alkaline phosphatase enzyme levels generally declined after day 7. Based on these results, it is concluded that tricalcium silicate cements do not induce osteogenic differentiation of hBM-MSCs in vitro