Relevant bibliographies by topics / PROC MCMC

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'PROC MCMC'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "PROC MCMC"

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Ames, Allison J., and Kelli Samonte. "Using SAS PROC MCMC for Item Response Theory Models." Educational and Psychological Measurement 75, no. 4 (September 25, 2014): 585–609. http://dx.doi.org/10.1177/0013164414551411.

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McNeish, Daniel. "Fitting Residual Error Structures for Growth Models in SAS PROC MCMC." Educational and Psychological Measurement 77, no. 4 (June 1, 2016): 587–612. http://dx.doi.org/10.1177/0013164416652441.

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In behavioral sciences broadly, estimating growth models with Bayesian methods is becoming increasingly common, especially to combat small samples common with longitudinal data. Although M plus is becoming an increasingly common program for applied research employing Bayesian methods, the limited selection of prior distributions for the elements of covariance structures makes more general software more advantages under certain conditions. However, as a disadvantage of general software’s software flexibility, few preprogrammed commands exist for specifying covariance structures. For instance, PROC MIXED has a few dozen such preprogrammed options, but when researchers divert to a Bayesian framework, software offer no such guidance and requires researchers to manually program these different structures, which is no small task. As such the literature has noted that empirical papers tend to simplify their covariance matrices to circumvent this difficulty, which is not desirable because such a simplification will likely lead to biased estimates of variance components and standard errors. To facilitate wider implementation of Bayesian growth models that properly model covariance structures, this article overviews how to generally program a growth model in SAS PROC MCMC and then demonstrates how to program common residual error structures. Full annotated SAS code and an applied example are provided.
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Menke, Jan. "Bivariate Random-Effects Meta-analysis of Sensitivity and Specificity with the Bayesian SAS PROC MCMC." Medical Decision Making 33, no. 5 (March 8, 2013): 692–701. http://dx.doi.org/10.1177/0272989x13475719.

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Pinski, Francis J. "A Novel Hybrid Monte Carlo Algorithm for Sampling Path Space." Entropy 23, no. 5 (April 22, 2021): 499. http://dx.doi.org/10.3390/e23050499.

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To sample from complex, high-dimensional distributions, one may choose algorithms based on the Hybrid Monte Carlo (HMC) method. HMC-based algorithms generate nonlocal moves alleviating diffusive behavior. Here, I build on an already defined HMC framework, hybrid Monte Carlo on Hilbert spaces (Beskos, et al. Stoch. Proc. Applic. 2011), that provides finite-dimensional approximations of measures π, which have density with respect to a Gaussian measure on an infinite-dimensional Hilbert (path) space. In all HMC algorithms, one has some freedom to choose the mass operator. The novel feature of the algorithm described in this article lies in the choice of this operator. This new choice defines a Markov Chain Monte Carlo (MCMC) method that is well defined on the Hilbert space itself. As before, the algorithm described herein uses an enlarged phase space Π having the target π as a marginal, together with a Hamiltonian flow that preserves Π. In the previous work, the authors explored a method where the phase space π was augmented with Brownian bridges. With this new choice, π is augmented by Ornstein–Uhlenbeck (OU) bridges. The covariance of Brownian bridges grows with its length, which has negative effects on the acceptance rate in the MCMC method. This contrasts with the covariance of OU bridges, which is independent of the path length. The ingredients of the new algorithm include the definition of the mass operator, the equations for the Hamiltonian flow, the (approximate) numerical integration of the evolution equations, and finally, the Metropolis–Hastings acceptance rule. Taken together, these constitute a robust method for sampling the target distribution in an almost dimension-free manner. The behavior of this novel algorithm is demonstrated by computer experiments for a particle moving in two dimensions, between two free-energy basins separated by an entropic barrier.
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Wagner, Markus, Stipan Jonjić, Ulrich H. Koszinowski, and Martin Messerle. "Systematic Excision of Vector Sequences from the BAC-Cloned Herpesvirus Genome during Virus Reconstitution." Journal of Virology 73, no. 8 (August 1, 1999): 7056–60. http://dx.doi.org/10.1128/jvi.73.8.7056-7060.1999.

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ABSTRACT Recently the mouse cytomegalovirus (MCMV) genome was cloned as an infectious bacterial artificial chromosome (BAC) (M. Messerle, I. Crnković, W. Hammerschmidt, H. Ziegler, and U. H. Koszinowski, Proc. Natl. Acad. Sci. USA 94:14759–14763, 1997). The virus obtained from this construct is attenuated in vivo due to deletion of viral sequences and insertion of the BAC vector. We reconstituted the full-length MCMV genome and flanked the BAC vector with identical viral sequences. This new construct represents a versatile basis for construction of MCMV mutants since virus generated from the construct loses the bacterial sequences and acquires wild-type properties.
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Deng, Yajun, Hanyun Ma, Jinyong Hao, Qiqi Xie, and Ruochen Zhao. "MCM2 and NUSAP1 Are Potential Biomarkers for the Diagnosis and Prognosis of Pancreatic Cancer." BioMed Research International 2020 (April 29, 2020): 1–20. http://dx.doi.org/10.1155/2020/8604340.

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Pancreatic cancer (PC) is one of the most malignant tumors. Despite considerable progress in the treatment of PC, the prognosis of patients with PC is poor. The aim of this study was to identify potential biomarkers for the diagnosis and prognosis of PC. First, the original data of three independent mRNA expression datasets were downloaded from the Gene Expression Omnibus and The Cancer Genome Atlas databases and screened for differentially expressed genes (DEGs) using the R software. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of the DEGs were performed, and a protein-protein interaction (PPI) network was constructed to screen for hub genes. The hub genes were analyzed for genetic variations, as well as for survival, prognostic, and diagnostic value, using the cBioPortal and Gene Expression Profiling Interactive Analysis (GEPIA) databases and the pROC package. After screening for potential biomarkers, the mRNA and protein levels of the biomarkers were verified at the tissue and cellular levels using the Cancer Cell Line Encyclopedia, GEPIA, and the Human Protein Atlas. As a result, a total of 248 DEGs were identified. The GO terms enriched in DEGs were related to the separation of mitotic sister chromatids and the binding of the spindle to the extracellular matrix. The enriched pathways were associated with focal adhesion, ECM-receptor interaction, and phosphatidylinositol 3-kinase (PI3K)/AKT signaling. The top 20 genes were selected from the PPI network as hub genes, and based on the analysis of multiple databases, MCM2 and NUSAP1 were identified as potential biomarkers for the diagnosis and prognosis of PC. In conclusion, our results show that MCM2 and NUSAP1 can be used as potential biomarkers for the diagnosis and prognosis of PC. The study also provides new insights into the underlying molecular mechanisms of PC.
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Akter, Mst Afroza, Marc Caldwell, Gina Pighetti, and Liesel G. Schneider. "49 Hematological and physiological changes observed in commercial stocker operation during early management." Journal of Animal Science 98, Supplement_4 (November 3, 2020): 33–34. http://dx.doi.org/10.1093/jas/skaa278.060.

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Abstract Dynamic physiological parameters’ change in recently received stocker calves may indicate disease onset or further progression. Our objective was to capture changes in rectal temperature and blood chemistry to determine relationships between these responses, castration status, and time after arrival at a commercial farm. Forty newly weaned steers of variable breed and body weight were received from order buyer on February 13, 2020 to a commercial stocker farm in Crossville. Calves were monitored for 4 wks; blood samples and rectal temperature were collected at day 0, 7, 14, and 21. All calves were either freshly (FC) (n = 27) or previously castrated (PC) (n = 13). Complete blood count (CBC) was analyzed on each sampling day using Hematology Analyzer, and the correlation between body temperature and CBC parameters was assessed using CORR procedure in SAS 9.4. To test if FC group differed from PC with CBC value changes, mixed model analysis of variance was performed (Proc GLIMMIX) with day as repeated measure (α = 0.05). Rectal temperature was significantly negatively correlated with red blood cells (RBC) (r = -0.33, P = 0.03) and hemoglobin (HGB) (r = -0.37, P = 0.01) on day 21. A castration by day interaction (P = 0.04) was found for white blood cell (WBC). Significant differences were found in between FC and PC groups for WBC on day 0 (10.59 and 14.23, respectively) and 14 (12.04 and 15.80, respectively). Significantly lower RBC, HGB, and Mean Corpuscle Volume (MCV) were found in FC; however, they had increased Mean Corpuscle Hemoglobin (MCH) and platelet (PLT) counts (P < 0.05). In addition, there were day effects on mean WBC, MCH, PLT, and Mean Corpuscular Hemoglobin Concentration (MCHC) (P < 0.001). While previous health history of stocker cattle remains unknown, there are definite differences in hematology and physiology at arrival and over time, which may increase risk for illness in this stage of production.
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Bonnefoy, M., K. Perraut, A. M. Lagrange, P. Delorme, A. Vigan, M. Line, L. Rodet, et al. "The GJ 504 system revisited." Astronomy & Astrophysics 618 (October 2018): A63. http://dx.doi.org/10.1051/0004-6361/201832942.

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Context. The G-type star GJ504A is known to host a 3–35 MJup companion whose temperature, mass, and projected separation all contribute to making it a test case for planet formation theories and atmospheric models of giant planets and light brown dwarfs. Aims. We aim at revisiting the system age, architecture, and companion physical and chemical properties using new complementary interferometric, radial-velocity, and high-contrast imaging data. Methods. We used the CHARA interferometer to measure GJ504A’s angular diameter and obtained an estimation of its radius in combinationwith the HIPPARCOS parallax. The radius was compared to evolutionary tracks to infer a new independent age range for the system. We collected dual imaging data with IRDIS on VLT/SPHERE to sample the near-infrared (1.02–2.25 μm) spectral energy distribution (SED) of the companion. The SED was compared to five independent grids of atmospheric models (petitCODE,Exo-REM, BT-SETTL, Morley et al., and ATMO) to infer the atmospheric parameters of GJ 504b and evaluate model-to-model systematic errors. In addition, we used a specific model grid exploring the effect of different C/O ratios. Contrast limits from 2011 to 2017 were combined with radial velocity data of the host star through the MESS2 tool to define upper limits on the mass of additional companions in the system from 0.01 to 100 au. We used an MCMC fitting tool to constrain the companion’sorbital parameters based on the measured astrometry, and dedicated formation models to investigate its origin. Results. We report a radius of 1.35 ± 0.04 R⊙ for GJ504A. The radius yields isochronal ages of 21 ± 2 Myr or 4.0 ± 1.8 Gyr for the system and line-of-sight stellar rotation axis inclination of 162.4−4.3+3.8 degrees or 186.6−3.8+4.3 degrees. We re-detect the companion in the Y2, Y3, J3, H2, and K1 dual-band images. The complete 1–4 μm SED shape of GJ504b is best reproduced by T8-T9.5 objects with intermediate ages (≤ 1.5Gyr), and/or unusual dusty atmospheres and/or super-solar metallicities. All atmospheric models yield Teff = 550 ± 50 K for GJ504b and point toward a low surface gravity (3.5–4.0 dex). The accuracy on the metallicity value is limited by model-to-model systematics; it is not degenerate with the C/O ratio. We derive log L∕L⊙ = −6.15 ± 0.15 dex for the companion from the empirical analysis and spectral synthesis. The luminosity and Teff yield masses of M = 1.3−0.3+0.6 MJup and M = 23−9+10 MJup for the young and old age ranges, respectively. The semi-major axis (sma) is above 27.8 au and the eccentricity is lower than 0.55. The posterior on GJ 504b’s orbital inclination suggests a misalignment with the rotation axis of GJ 504A. We exclude additional objects (90% prob.) more massive than 2.5 and 30 MJup with semi-major axes in the range 0.01–80 au for the young and old isochronal ages, respectively. Conclusions. The mass and semi-major axis of GJ 504b are marginally compatible with a formation by disk-instability if the system is 4 Gyr old. The companion is in the envelope of the population of planets synthesized with our core-accretion model. Additional deep imaging and spectroscopic data with SPHERE and JWST should help to confirm the possible spin-orbit misalignment and refine the estimates on the companion temperature, luminosity, and atmospheric composition.
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Stone, Clement, and Brian Leventhal. "Accounting for Multidimensionality in Item Responses in Patient-Centered and Patient Reported Outcomes Measurement." International Journal of Person Centered Medicine 6, no. 4 (February 2, 2017). http://dx.doi.org/10.5750/ijpcm.v6i4.614.

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Background: More robust and rigorous psychometric models, such as Item Response Theory (IRT) models, have been advocated for applications measuring health sciences outcomes. However, there are challenges to the use of IRT models with health assessments. In particular, item responses from measuring health-related outcomes are typically determined by multiple traits or dimensions. This multidimensionality can be caused by various factors including designed multidimensional structure to the instrument, heterogeneity in item content, and from other sources such as differential item functioning in subpopulations and individual differences in response styles to survey items and rating scales. Objectives: This paper discusses different extensions to IRT models that can be used to account for different types of multidimensionality as well as the use of Bayesian methods with person-centered medicine research.Methods: Use of the SAS PROC MCMC platform for implementing Bayesian analyses is illustrated to estimate and analyze IRT applications to health-related assessments. Results: PROC MCMC involves a straightforward translation of the response probability model along with specifications of the model parameters and prior distributions for the model parameters. Conclusions: Bayesian analysis of multidimensional IRT models is more accessible to researchers and scale developers in measuring health sciences outcomes for person-centered medicine research.
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Windover, Donald, D. L. Gil, J. P. Cline, A. Henins, N. Armstrong, P. Y. Hung, S. C. Song, R. Jammy, and A. Diebold. "X-Ray Reflectometry Determination of Structural Information from Atomic Layer Deposition Nanometer-scale Hafnium Oxide Thin Films." MRS Proceedings 996 (2007). http://dx.doi.org/10.1557/proc-0996-h07-05.

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AbstractThis work demonstrates the application of a Markov Chain Monte Carlo (MCMC) approach to modeling X-ray reflectometry (XRR) data taken from a sub 10 nm Hafnium oxide film. We present here a comparison of two structural models for a 6 nm HfxOy atomic layer deposition (ALD) film on Si. Using the MCMC method and two distinct structural models, we show evidence of a thin interface between the HfxOy and Si layers with a density much higher than native SiO2. Results from genetic algorithm XRR analysis and thickness measurements using cross-sectional transmission electron microscopy are included for comparison. We also demonstrate that our interpretation of HfxOy thickness differs between the two structural models (i.e., total film thicknesses may be partially additive within each model).
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Dissertations / Theses on the topic "PROC MCMC"

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Lindsey, Heidi Lula. "An Introduction to Bayesian Methodology via WinBUGS and PROC MCMC." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2784.

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Bayesian statistical methods have long been computationally out of reach because the analysis often requires integration of high-dimensional functions. Recent advancements in computational tools to apply Markov Chain Monte Carlo (MCMC) methods are making Bayesian data analysis accessible for all statisticians. Two such computer tools are Win-BUGS and SASR 9.2's PROC MCMC. Bayesian methodology will be introduced through discussion of fourteen statistical examples with code and computer output to demonstrate the power of these computational tools in a wide variety of settings.
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Prasad, Jonathan P. "Zero-Inflated Censored Regression Models: An Application with Episode of Care Data." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2226.

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The objective of this project is to fit a sequence of increasingly complex zero-inflated censored regression models to a known data set. It is quite common to find censored count data in statistical analyses of health-related data. Modeling such data while ignoring the censoring, zero-inflation, and overdispersion often results in biased parameter estimates. This project develops various regression models that can be used to predict a count response variable that is affected by various predictor variables. The regression parameters are estimated with Bayesian analysis using a Markov chain Monte Carlo (MCMC) algorithm. The tests for model adequacy are discussed and the models are applied to an observed data set.
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Tritová, Hana. "Metody MCMC pro finanční časové řady." Master's thesis, 2016. http://www.nusl.cz/ntk/nusl-346777.

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This thesis focuses on estimating parameters of appropriate model for daily returns using the Markov Chain Monte Carlo method (MCMC) and Bayesian statistics. We describe MCMC methods, such as Gibbs sampling and Metropolis- Hastings algorithm and their basic properties. After that, we introduce different financial models. Particularly we focus on the lognormal autoregressive model. Later we theoretically apply Gibbs sampling to lognormal autoregressive model using principles of Bayesian statistics. Afterwards, we analyze procedu- res, that we used in simulations of posterior distribution using Gibbs sampling. Finally, we present processed output of both simulated and real data analysis.
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Habermannová, Markéta. "Analýza rozdílů osobnostní psychopatologie podle MCMI-III u mužů léčených pro závislost na alkoholu a jiných nealkoholových drogách." Doctoral thesis, 2007. http://www.nusl.cz/ntk/nusl-288094.

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Objectives: Analysis of differences in personality psychopatology between alcoholic and drug addicted men in-patients. Analysis of differences in profiles between the alcoholics and drug addicts. Comparison of the profiles of the addicted in our study with Millons' profiles of addicts. Mapping differences in self-rating the seriousness of symptoms and problems of the addicts. Sample: 63 men in-patients of PL Bohnice Praha (in period May 2004 - October 2005), 32 alcoholics and 31 drug addicts (pervitin, heroin, marihuana). Patients are in the 3rd - 12th week of treatment. Average age of alcoholics is 42,2, and of drug addicts 25,3 years. Methods: 1. Entrance examination - form of structured interview (based on questionary Europ_ASI, translated by L. Kubička a L. Csémy); 2. MCMI-III - Millon Clinical Multiaxial Inventory III (translated by M. Preiss); 3. SYMPRO (self-rating questionnaire and scale for alcoholics, author L. Kubička; used as SYMPROM/ ALK) - on the bases of this method version for drug addicts SYMPRO-M/DR was compiled. Results: According to MCMI-III there exist significant differences in scales: 5 Narcissistic (drug addicts scored higher), 6A Antisocial drug addicts scored higher), 6B Sadistic (drug addicts scored higher), 7 Compulsive (alcoholics scored higher), B Alcohol Dependence (alcoholics...
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Zelenka, Tomáš. "Porovnání ITS nrDNA a alternativních markerů pro metabarcoding hub v environmentálních vzorcích." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-267936.

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The study of fungal diversity may lead to many fundamental discoveries and conclusions. Molecular genetics, and particularly high throughput sequencing methods using short DNA fragments as barcodes, has recently experienced a boom. The most frequently used marker for fungal research is the partial region of nuclear ribosomal DNA called ITS (Internal Transcribed Spacer). It occurs in the form of tandem repetitions of up to 200 copies. This fact greatly simplifies its amplification from the environment but also introduces some negatives. One of them can be an existence of intragenomic and intraspecific variability which confounds diversity estimates by exaggerating the real number of species. Using alternative low-copy markers can easily prevent these problems. In this study EF-1α and RPB2 protein- coding genes were compared with traditionally used ITS1 and ITS2 markers. An artificial mock community was created by blending genomic DNA of different fungal lineages. The community was sequenced for all markers and the data were processed according to guidelines commonly used in environmental studies. The results show that ITS2 is unequivocally a more suitable marker for environmental studies than other compared markers. The average coefficient of overestimation was deemed to be approximately two for ITS1, ITS2,...
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Kopalová, Dominika. "Dlouhodobé sledování hladin ctDNA u pacientů s metastatickým kolorektálním karcinomem pro včasný záchyt progrese či rekurence onemocnění." Master's thesis, 2021. http://www.nusl.cz/ntk/nusl-438320.

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Circulating tumor DNA (ctDNA) in peripheral blood of patients with metastatic colorectal cancer appears to be a promising molecular marker that provides various applications. ctDNA levels vary depending on the presence, alternatively on the volume of tumor mass within patient's body, which can be used primarily for early detection of disease progression or recurrence and moreover for evaluating radicality of surgical treatment, all within long-term postoperative follow-up of the patient. Due to minimal invasivity of ctDNA analysis from peripheral blood (so-called liquid biopsy), it is possible to perform it repeatedly at relatively short time intervals. On account of very low fraction of ctDNA in total cell-free DNA (cfDNA) ranging between units and hundreds of percent, the key factor is optimal methodology covering all steps from the isolation process to a sufficiently sensitive detection technology. In this thesis I focus on an optimization of isolation process and analysis of ctDNA obtained from tumor tissue and plasma of selected patients with metastatic colorectal cancer in connection with surgical radicality and correlation with a clinical status of the patients.
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Book chapters on the topic "PROC MCMC"

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Matsuoka, Masaya, Takashi Kamegawa, and Masakazu Anpo. "Photocatalytic preferential oxidation of CO with O2 in the presence of H2 (photo-PROX) on Mo-MCM-41 at 293K." In Recent Progress in Mesostructured Materials - Proceedings of the 5th International Mesostructured Materials Symposium (IMMS2006), Shanghai, P.R. China, August 5-7, 2006, 725–28. Elsevier, 2007. http://dx.doi.org/10.1016/s0167-2991(07)80423-x.

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"A.C. Petty, G.L. Daniels and P. Tippett, Vox Sang, 66, 216-224 (1994). 11. K.E. Coyne, S.E. Hall, E.S. Thompson, M.A. Arce, T. Kinoshita, T. Fujita, D.J. Anstee, W. Rosse and D.M. Lublin, J. Immun. 149. 2906-2913 (1992). 12. A.C. Petty, G.L. Daniels, D.J. Anstee and P. Tippett, Vox Sang., 65, 309-315 (1993). 13. M.J. Telen, N. Rao, E.S. Thompson and D.M. Lublin, (abs) Transfusion, 32, suppl 47S (1992). 14. G. Daniels, Vox Sang., 56, 205-211 (1989). 15. M.J. Telen, in Blood Groups:Ch/Rq. Kn/McC/Yk, Cromer. J.M. Moulds and B. Laird-Fryer, eds. American Association of Blood Banks, Bethesda MD, (1992) pp. 45-63. 16. D.M. Lublin, E.S. Thompson, A.M. Green, C. Levene and M.J. Telen, J. Clin. Invest., 87, 1945-1952 (1991). 17. D.M. Lublin, G. Mallinson, M.E. Reid, J. Poole, E.S. Thompson, B.R. Ferdman, M.J. Telen, D.J. Anstee and M.J.A. Tanner, (abs) Transfusion, 32, suppl 47S (1992). 18. P.D. Issitt, Transf. Med. Rev., 3, 1-12 (1989). 19. C. Lomas, W. Grassman, D. Ford, J. Watt, A. Gooch, J. Jones, M. Beolet, D. Stern, M. Wallace and P. Tippett, Transfusion in press. 20. P. Agre and J-P. Cartron, Blood, 78, 551-563 (1991). 21. J-P. Cartron and P. Agre, Seminars Haemat., 30, 193-208 (1993). 22. D.J. Anstee and M.J.A. Tanner, in Baillieres’s Clinical Haematology. M.J.A. Tanner and D.J. Anstee, eds. Bailliere Tindall, London (1993) pp. 401-422. 23. N.D. Avent, K. Ridgwell, W.J. Mawby, M.J.A. Tanner, D.J. Anstee and B. Kumpel, Biochem. J., 256 1043-1046 (1988). 24. C. Bloy, D. Blanchard, W. Dahr, K. Beyreuther, C. Salmon and J-P. Cartron, Blood, 72, 661-666 (1988). 25. A.M. Saboori, B.L. Smith and P. Agre, Proc. Natl. Acad. Sci. USA, 85, 4042-4045 (1988). 26. N.D. Avent, K. Ridgwell, M.J.A. Tanner and D.J. Anstee, Biochem. J., 271.821-825 (1990). 27. B. Cherif-Zahar, C. Bloy, C. Le Van Kim, D. Blanchard, P. Bailly, P. Hermand, C. Salmon, J-P. Cartron, Y. Colin, Proc. Natl. Acad. Sci. USA, 87, 6243-6247 (1990). 28. I. Mouro, Y. Colin, B. Cherif-Zahar, J-P. Cartron and C. Le Van Kim, Nature Genet., 5, 62-65 (1993). 29. K. Ridgwell, N.K. Spurr, B. Laguda, C. MacGeoch, N.D. Avent and M.J.A. Tanner, Biochem. J., 287, 223-228 (1992). 30. G. Mallinson, D.J. Anstee, N.D. Avent, K. Ridgwell, M.J.A. Tanner, G.L. Daniels, P. Tippett and A.E.G. von dem Borne, Transfusion, 30, 222-225 (1990)." In Transfusion Immunology and Medicine, 199. CRC Press, 1995. http://dx.doi.org/10.1201/9781482273441-17.

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Conference papers on the topic "PROC MCMC"

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Zheng, Bocong. "One-Dimensional PIC/MCC Simulation of HiPIMS Discharges." In 64th Society of Vacuum Coaters Annual Technical Conference. Society of Vacuum Coaters, 2021. http://dx.doi.org/10.14332/svc21.proc.0027.

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Lin, Leteng, Li Sun, Xiaodong Zhang, Xiaolu Yi, and Min Xu. "Simulation of Hydrogen Production From Biomass Pyrolysis Gas by Secondary Steam Reforming." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51045.

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Hydrogen is currently being widely regarded as a futural energy carrier to reduce carbon emissions and other NOx and SOx pollutants. Many researchers have proved that hydrogen can be efficiently used in solid oxide fuel cells -gas turbine system (SOFC-GT) and molten carbonate fuel cells-gas turbine system (MCFC-GT). Hydrogen production from biomass resources offers the advantage of providing a renewable energy carrier for extensive reduction of the CO2 emission. A secondary steam reforming process which consists of steam reforming of methane and water gas shift was proposed to further convert CH4, CO and other hydrocarbons in biomass pyrolysis gas for promoting hydrogen yield. According to respective reaction mechanism, simulating calculations were carried out in two reforming processes separately. With the favor of PRO/II, the effects of reaction temperature and steam to carbon ratio on hydrogen yield were discussed in details in the steam reforming of methane. A reasonable calculation method was established for simulating the water gas shift process in which the effects of temperature and steam to CO ratio was investigated. The simulation made good results in optimizing reaction conditions for two reformers and predicting the volume rate of all gas components. It is proved by simulation that hydrogen-rich gas with >68 mol% H2 could be produced, and the hydrogen yield could reach 48.18 mol H2/(Kg Biomass) and 45.85 mol/(Kg Biomass) respectively when using corn straw and rice husk as feedstock. The experiment data from a related reference was adopted to prove the reasonability of the simulation results which could show the feasibility of secondary steam reforming process, as well as provide good references for practical process operation.
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