Search Results - (Author, Cooperation:M. Xue)
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1Scheib, C. L., Li, H., Desai, T., Link, V., Kendall, C., Dewar, G., Griffith, P. W., Mörseburg, A., Johnson, J. R., Potter, A., Kerr, S. L., Endicott, P., Lindo, J., Haber, M., Xue, Y., Tyler-Smith, C., Sandhu, M. S., Lorenz, J. G., Randall, T. D., Faltyskova, Z., Pagani, L., Danecek, P., OConnell, T. C., Martz, P., Boraas, A. S., Byrd, B. F., Leventhal, A., Cambra, R., Williamson, R., Lesage, L., Holguin, B., Ygnacio-De Soto, E., Rosas, J., Metspalu, M., Stock, J. T., Manica, A., Scally, A., Wegmann, D., Malhi, R. S., Kivisild, T.
American Association for the Advancement of Science (AAAS)
Published 2018Staff ViewPublication Date: 2018-06-01Publisher: American Association for the Advancement of Science (AAAS)Print ISSN: 0036-8075Electronic ISSN: 1095-9203Topics: BiologyChemistry and PharmacologyGeosciencesComputer ScienceMedicineNatural Sciences in GeneralPhysicsKeywords: AnthropologyPublished by: -
2Chen, L., Zhou, F., Li, H., Xing, X., Han, X., Wang, Y., Zhang, C., Suo, L., Wang, J., Yu, G., Wang, G., Yao, X., Yu, H., Wang, L., Liu, M., Xue, C., Liu, B., Zhu, X., Li, Y., Xiao, Y., Cui, X., Li, L., Uyeki, T. M., Wang, C., Cao, B., CAP-China network
BMJ Publishing
Published 2018Staff ViewPublication Date: 2018-02-16Publisher: BMJ PublishingElectronic ISSN: 2044-6055Topics: MedicineKeywords: Open access, Infectious diseasesPublished by: -
3Rifka Vliȷm, Xue Li, Marko Panic, Diana Ruthnick, Shoȷi Hata, Frank Herrmannsdorfer, Thomas Kuner, Mike Heilemann, Johann Engelhardt, Stefan W. Hell, Elmar Schiebel
National Academy of Sciences
Published 2018Staff ViewPublication Date: 2018-03-07Publisher: National Academy of SciencesPrint ISSN: 0027-8424Electronic ISSN: 1091-6490Topics: BiologyMedicineNatural Sciences in GeneralPublished by: -
4Staff View
Publication Date: 2014-07-22Publisher: Nature Publishing Group (NPG)Print ISSN: 0028-0836Electronic ISSN: 1476-4687Topics: BiologyChemistry and PharmacologyMedicineNatural Sciences in GeneralPhysicsKeywords: Animals ; Female ; HEK293 Cells ; Humans ; Male ; Mice ; Neural Inhibition/physiology ; Neurons/*physiology ; Pyramidal Cells/physiology ; Synapses/physiology ; Visual Cortex/*cytology/*physiologyPublished by: -
5Ning, X., Yu, X., Wang, H., Sun, R., Corman, R. E., Li, H., Lee, C. M., Xue, Y., Chempakasseril, A., Yao, Y., Zhang, Z., Luan, H., Wang, Z., Xia, W., Feng, X., Ewoldt, R. H., Huang, Y., Zhang, Y., Rogers, J. A.
American Association for the Advancement of Science (AAAS)
Published 2018Staff ViewPublication Date: 2018-09-15Publisher: American Association for the Advancement of Science (AAAS)Electronic ISSN: 2375-2548Topics: Natural Sciences in GeneralPublished by: -
6S. S. Chng ; M. Xue ; R. A. Garner ; H. Kadokura ; D. Boyd ; J. Beckwith ; D. Kahne
American Association for the Advancement of Science (AAAS)
Published 2012Staff ViewPublication Date: 2012-09-01Publisher: American Association for the Advancement of Science (AAAS)Print ISSN: 0036-8075Electronic ISSN: 1095-9203Topics: BiologyChemistry and PharmacologyComputer ScienceMedicineNatural Sciences in GeneralPhysicsKeywords: Bacterial Outer Membrane Proteins/chemistry/genetics/*metabolism ; Biological Transport ; Cystine/genetics/*metabolism ; Escherichia coli/genetics/*metabolism ; Escherichia coli Proteins/chemistry/genetics/*metabolism ; Lipopolysaccharides/*metabolism ; Protein Disulfide-Isomerases/metabolism ; Protein Folding ; Protein Structure, SecondaryPublished by: -
7Kallupi, M., Xue, S., Zhou, B., Janda, K. D., George, O.
American Association for the Advancement of Science (AAAS)
Published 2018Staff ViewPublication Date: 2018-10-18Publisher: American Association for the Advancement of Science (AAAS)Electronic ISSN: 2375-2548Topics: Natural Sciences in GeneralPublished by: -
8Wang, L., Zhu, C., Zhang, T., Tian, Q., Zhang, N., Morrison, S., Morrison, R., Xue, M., Zhong, G.
The American Society for Microbiology (ASM)
Published 2018Staff ViewPublication Date: 2018-01-23Publisher: The American Society for Microbiology (ASM)Print ISSN: 0019-9567Electronic ISSN: 1098-5522Topics: MedicinePublished by: -
9Xue, M., Fu, F., Ma, Y., Zhang, X., Li, L., Feng, L., Liu, P.
The American Society for Microbiology (ASM)
Published 2018Staff ViewPublication Date: 2018-07-18Publisher: The American Society for Microbiology (ASM)Print ISSN: 0022-538XElectronic ISSN: 1098-5514Topics: MedicinePublished by: -
10Staff View
Publication Date: 2018-07-31Publisher: American Physical Society (APS)Print ISSN: 1539-3755Electronic ISSN: 1550-2376Topics: PhysicsKeywords: Films and InterfacesPublished by: -
11Zhou, Z. ; Cui, Y. ; Xie, S. ; Zhu, X. ; Lei, W. ; Xue, M. ; Yang, Y.
Berlin, Germany : Blackwell Verlag GmbH
Published 2003Staff ViewISSN: 1439-0426Source: Blackwell Publishing Journal Backfiles 1879-2005Topics: BiologyAgriculture, Forestry, Horticulture, Fishery, Domestic Science, NutritionNotes: Juvenile (3.0 ± 0.2 g) gibel carp (Carassius auratus gibelio) were fed to satiation for 8 weeks to investigate the effect of feeding frequency on growth, feed utilization and size variation. Five feeding frequencies were tested: two meals per day (M2), three meals per day (M3), four meals per day (M4), 12 meals per day (M12) and 24 meals per day (M24). The results showed that daily food intake increased significantly with the increase in feeding frequency and there was no significant difference between daily food intakes in M12 and M24 treatments. Growth rate, feed efficiency increased significantly with increasing feeding frequencies. Size variation was not affected by feeding frequency. Apparent digestibility of dry matter was not influenced by feeding frequency, while apparent digestibility of protein and energy increased significantly at high feeding frequencies. The feeding frequency had no significant effect on the moisture, lipid, protein, or energy contents of gibel carp, while the ash content decreased with increased feeding frequency. It was recommended that 24 meals per day was the optimal feeding frequency for juvenile gibel carp.Type of Medium: Electronic ResourceURL: -
12Staff View
ISSN: 1365-2095Source: Blackwell Publishing Journal Backfiles 1879-2005Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, NutritionNotes: The objectives of the study were to determine the effect of diet processing and replacement of fishmeal by detoxified castor bean meal (DCBM) on growth performance, body composition and phosphorus availability of juvenile grass carp (Ctenopharyngodon idellus, initial body weight 9.74 ± 0.03 g). Three replacing levels (0, 40 and 100% of fishmeal protein were replaced by DCBM protein) were designed, which were processed by pelleting machine or extruder, respectively. Y2O3 (1 g kg−1) was used as inert marker for apparent digestibility coefficients (ADC) measurement. The results showed that DCBM replacement level significant decreased specific growth rate, feed conversion efficiency, protein efficiency ratio and feed intake. Phosphorus excretion was reduced because of lower intake of apparently absorbed phosphorus and higher ADC of total phosphorus with higher inclusion level of DCBM; extrusion significantly increased ADC of dry matter while decreased ADC of total phosphorus and intake of apparently absorbed phosphorus compared with the pellet diet. The DCBM replacement levels, processing methods and interaction factor had significant effects on the whole body composition. According to the results of this study, it is concluded that juvenile grass carp can accept the extruded diets containing 50 g kg−1 DCBM (〈16 mg kg−1 ricinine).Type of Medium: Electronic ResourceURL: -
13Staff View
ISSN: 0922-338XSource: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002Topics: Process Engineering, Biotechnology, Nutrition TechnologyType of Medium: Electronic ResourceURL: -
14Staff View
ISSN: 1436-5065Source: Springer Online Journal Archives 1860-2000Topics: GeographyPhysicsNotes: Summary A completely new nonhydrostatic model system known as the Advanced Regional Prediction System (ARPS) has been developed in recent years at the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma. The ARPS is designed from the beginning to serve as an effective tool for basic and applied research and as a system suitable for explicit prediction of convective storms as well as weather systems at other scales. The ARPS includes its own data ingest, quality control and objective analysis packages, a data assimilation system which includes single-Doppler velocity and thermodynamic retrieval algorithms, the forward prediction component, and a self-contained post-processing, diagnostic and verification package. The forward prediction component of the ARPS is a three-dimensional, nonhydrostatic compressible model formulated in generalized terrain-following coordinates. Minimum approximations are made to the original governing equations. The split-explicit scheme is used to integrate the sound-wave containing equations, which allows the horizontal domain-decomposition strategy to be efficiently implemented for distributed-memory massively parallel computers. The model performs equally well on conventional shared-memory scalar and vector processors. The model employs advanced numerical techniques, including monotonic advection schemes for scalar transport and variance-conserving fourth-order advection for other variables. The model also includes state-of-the-art physics parameterization schemes that are important for explicit prediction of convective storms as well as the prediction of flows at larger scales. Unique to this system are the consistent code styling maintained for the entire model system and thorough internal documentation. Modern software engineering practices are employed to ensure that the system is modular, extensible and easy to use. The system has been undergoing real-time prediction tests at the synoptic through storm scales in the past several years over the continental United States as well as in part of Asia, some of which included retrieved Doppler radar data and hydrometeor types in the initial condition. As the first of a two-part paper series, we describe herein the dynamic and numerical framework of the model, together with the subgrid-scale turbulence and the PBL parameterization. The model dynamic and numerical framework is then verified using idealized and realistic mountain flow cases and an idealized density current. Other physics parameterization schemes will be described in Part II, which is followed by verification against observational data of the coupled soil-vegetation model, surface layer fluxes and the PBL parameterization. Applications of the model to the simulation of an observed supercell storm and to the prediction of a real case are also found in Part II. In the latter case, a long-lasting squall line developed and propagated across the eastern part of the United States following a historical number of tornado outbreak in the state of Arkansas.Type of Medium: Electronic ResourceURL: