650 research outputs found
Cosmological constraints from Radial Baryon Acoustic Oscillation measurements and Observational Hubble data
We use the Radial Baryon Acoustic Oscillation (RBAO) measurements, distant
type Ia supernovae (SNe Ia), the observational data (OHD) and the Cosmic
Microwave Background (CMB) shift parameter data to constrain cosmological
parameters of CDM and XCDM cosmologies and further examine the role of
OHD and SNe Ia data in cosmological constraints. We marginalize the likelihood
function over by integrating the probability density to obtain the best fitting results and the confidence regions
in the plane.With the combination analysis for
both of the {\rm }CDM and XCDM models, we find that the confidence
regions of 68.3%, 95.4% and 99.7% levels using OHD+RBAO+CMB data are in good
agreement with that of SNe Ia+RBAO+CMB data which is consistent with the result
of Lin et al's work. With more data of OHD, we can probably constrain the
cosmological parameters using OHD data instead of SNe Ia data in the future.Comment: 8 pages, 6 figures, 2 tables, accepted for publication in Physics
Letters
Human gene expression sensitivity according to large scale meta-analysis
<p>Abstract</p> <p>Background</p> <p>Genes show different sensitivities in expression corresponding to various biological conditions. Systematical study of this concept is required because of its important implications in microarray analysis etc. J.H. Ohn et al. first studied this gene property with yeast transcriptional profiling data.</p> <p>Results</p> <p>Here we propose a calculation framework for gene expression sensitivity analysis. We also compared the functions, centralities and transcriptional regulations of the sensitive and robust genes. We found that the robust genes tended to be involved in essential cellular processes. Oppositely, the sensitive genes perform their functions diversely. Moreover while genes from both groups show similar geometric centrality by coupling them onto integrated protein networks, the robust genes have higher vertex degree and betweenness than that of the sensitive genes. An interesting fact was also found that, not alike the sensitive genes, the robust genes shared less transcription factors as their regulators.</p> <p>Conclusion</p> <p>Our study reveals different propensities of gene expression to external perturbations, demonstrates different roles of sensitive genes and robust genes in the cell and proposes the necessity of combining the gene expression sensitivity in the microarray analysis.</p
Research in advance for FMD Novel Vaccines
Foot-and-Mouth Disease (FMD), as a major global animal disease, affects millions of animals worldwide and remains the main sanitary barrier to the international and national trade of animals and animal products. Inactivated vaccination is the most effective measure for prevention of FMD at present, but fail to induce long-term protection and content new requires for production of FMD vaccines. As a number of Researchers hope to obtain satisfactory novel vaccines by new bio-technology, novel vaccines have been studied for more than thirty years. Here reviews the latest research progress of new vaccines, summarizes some importance and raises several suggestions for the future of FMD vaccine
A highly sensitive detection for foot-and-mouth disease virus by gold nanopariticle improved immuno-PCR
<p>Abstract</p> <p>Backgroud</p> <p>Foot-and-mouth disease (FMD) is one of the most contagious of all artiodactyl animal diseases, and its infection has an obvious ability to spread over long distances and to contribute to epidemics in FMD-free areas. A highly sensitive and specific method is required to detect FMDV. In this study, we evaluated the usefulness of a bio-barcode assay (BCA) technique for detecting clinical samples of FMDV.</p> <p>Methods</p> <p>Highly sensitive gold nanopariticle (GNP) improved immuno-PCR (GNP-IPCR) which derived from the bio-barcode assay (BCA) was designed for the detection of FMDV. The target viral particles were captured by a polyclonal antibody coated on ELISA microplate, followed by adding GNP which was dually modified with oligonucleotides and a FMDV specific monoclonal antibody (MAb) 1D11 to form a sandwiched immune complex. After the formation of immuno-complex, the signal DNA was released by heating, and consequently characterized by PCR and real time PCR.</p> <p>Results</p> <p>The detection limit of GNP-PCR could reach to 10 fg/ml purified FMDV particles, and the assay can detect clinical samples of FMDV with highly sensitivity, while detect limit of conventional ELISA is 100 ng/ml in this study.</p> <p>Conclusion</p> <p>GNP-IPCR may provide a highly sensitive method for the detection of FMDV.</p
AI-accelerated Discovery of Altermagnetic Materials
Altermagnetism, a new magnetic phase, has been theoretically proposed and
experimentally verified to be distinct from ferromagnetism and
antiferromagnetism. Although altermagnets have been found to possess many
exotic physical properties, the very limited availability of known
altermagnetic materials (e.g., 14 confirmed materials) hinders the study of
such properties. Hence, discovering more types of altermagnetic materials is
crucial for a comprehensive understanding of altermagnetism and thus
facilitating new applications in the next-generation information technologies,
e.g., storage devices and high-sensitivity sensors. Here, we report 25 new
altermagnetic materials that cover metals, semiconductors, and insulators,
discovered by an AI search engine unifying symmetry analysis, graph neural
network pre-training, optimal transport theory, and first-principles electronic
structure calculation. The wide range of electronic structural characteristics
reveals that various novel physical properties manifest in these newly
discovered altermagnetic materials, e.g., anomalous Hall effect, anomalous Kerr
effect, and topological property. Noteworthy, we discovered 8 i-wave
altermagnetic materials for the first time. Overall, the AI search engine
performs much better than human experts and suggests a set of new altermagnetic
materials with unique properties, outlining its potential for accelerated
discovery of the materials with targeting properties.Comment: 38 pages; 22 figures; 3 table
Domain wall partition function of the eight-vertex model with a non-diagonal reflecting end
With the help of the Drinfeld twist or factorizing F-matrix for the
eight-vertex SOS model, we obtain the explicit determinant expression of the
partition function of the eight-vertex model with a generic non-diagonal
reflecting end and domain wall boundary condition. Our result shows that,
contrary to the eight-vertex model without a reflection end, the partition
function can be expressed as a single determinant.Comment: Latex file, 25 pages, 4 figures. arXiv admin note: substantial text
overlap with arXiv:1107.562
Correction: Magnetoconductance modulations due to interlayer tunneling in radial superlattices
Correction for ‘Magnetoconductance modulations due to interlayer tunneling in radial superlattices’ by Yu-Jie Zhong et al., Nanoscale Horiz., 2022, 7, 168–173, https://doi.org/10.1039/D1NH00449B
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