Academic literature on the topic 'G-Computation'
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Journal articles on the topic "G-Computation"
Breger, Tiffany L., Jessie K. Edwards, Stephen R. Cole, Daniel Westreich, Brian W. Pence, and Adaora A. Adimora. "Two-stage g-computation." Epidemiology 31, no. 5 (September 2020): 695–703. http://dx.doi.org/10.1097/ede.0000000000001233.
Full textWang, Changping, Chaokun Wang, Gaoyang Guo, Xiaojun Ye, and Philip S. Yu. "Efficient Computation of G-Skyline Groups." IEEE Transactions on Knowledge and Data Engineering 30, no. 4 (April 1, 2018): 674–88. http://dx.doi.org/10.1109/tkde.2017.2777994.
Full textLosev, Ivan V. "Computation of Weyl groups of $G$-varieties." Representation Theory of the American Mathematical Society 14, no. 02 (January 5, 2010): 9–69. http://dx.doi.org/10.1090/s1088-4165-10-00365-1.
Full textHerman, Allen. "Using G-algebras for Schur index computation." Journal of Algebra 260, no. 2 (February 2003): 463–75. http://dx.doi.org/10.1016/s0021-8693(02)00577-x.
Full textLosev, I. V. "Computation of weight lattices of G-varieties." Journal of Mathematical Sciences 161, no. 1 (July 28, 2009): 70–96. http://dx.doi.org/10.1007/s10958-009-9537-5.
Full textVansteelandt, S., and N. Keiding. "Invited Commentary: G-Computation-Lost in Translation?" American Journal of Epidemiology 173, no. 7 (March 16, 2011): 739–42. http://dx.doi.org/10.1093/aje/kwq474.
Full textWang, Aolin, and Onyebuchi A. Arah. "G-computation demonstration in causal mediation analysis." European Journal of Epidemiology 30, no. 10 (October 2015): 1119–27. http://dx.doi.org/10.1007/s10654-015-0100-z.
Full textHall, Michael J., Neil E. Olson, and Roger D. Chamberlain. "Utilizing Virtualized Hardware Logic Computations to Benefit Multi-User Performance." Electronics 10, no. 6 (March 12, 2021): 665. http://dx.doi.org/10.3390/electronics10060665.
Full textChu, Yunn-Kuang, and Jau-Chuan Ke. "Mean response time for a G/G/1 queueing system: Simulated computation." Applied Mathematics and Computation 186, no. 1 (March 2007): 772–79. http://dx.doi.org/10.1016/j.amc.2006.08.048.
Full textChatton, A., F. Le Borgne, M. Léger, R. Lenain, and Y. Foucher. "G-computation et intelligence artificielle en inférence causale." Revue d'Épidémiologie et de Santé Publique 69 (June 2021): S10—S11. http://dx.doi.org/10.1016/j.respe.2021.04.013.
Full textDissertations / Theses on the topic "G-Computation"
Sirota, Leite Fernanda. "Role of the amino acid sequences in domain swapping of the B1 domain of protein G by computation analysis." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210657.
Full textThe stability of the wt and quadruple mutant GB1 monomers was assessed using the software DESIGNER, a fully automatic procedure that selects amino acid sequences likely to stabilize a given backbone structure (Wernisch et al. 2000). Results suggest that 3 of the mutations (L5V, F30V, A34F) have a destabilizing effect. The first mutation (L5V) forms destabilizing interactions with surrounding residues, while the second (F30V) is engaged in unfavorable interactions with the protein backbone, consequently causing local strain. Although the A34F substitution itself is found to contribute favorably to the stability of the monomer, this is achieved only at the expense of forcing the wild type W43 into a highly strained conformation concomitant with the formation of unfavorable interactions with both W43 and V54.
Finally, we also provide evidence that A34F mutation stabilizes the swapped dimer structure. Although we were unable to perform detailed protein design calculations on the dimer, due to the lower accuracy of the model, inspection of its 3D structure reveals that the 34F side chains pack against one another in the core of the swapped structure, thereby forming extensive non-native interactions that have no counterparts in the individual monomers. Their replacement by the much smaller Ala residue is suggested to be significantly destabilizing by creating a large internal cavity, a phenomenon, well known to be destabilizing in other proteins. Our analysis hence proposes that the A34F mutation plays a dual role, that of destabilizing the GB1 monomer structure while stabilizing the swapped dimer conformation.
In addition to the above study, molecular dynamics simulations of the wild type and modeled quadruple mutant GB1 structures were carried out at room and elevated temperatures (450 K) in order to sample the conformational landscape of the protein near its native monomeric state, and to characterize the deformations that occur during early unfolding. This part of the study was aimed at investigating the influence of the amino acid sequence on the conformational properties of the GB1 monomer and the possible link between these properties and the swapping process. Analysis of the room temperature simulations indicates that the mutant GB1 monomer fluctuates more than its wild type counter part. In addition, we find that the C-terminal beta-hairpin is pushed away from the remainder of the structure, in agreement with the fact that this hairpin is the structural element that is exchanged upon domain swapping. The simulations at 450 K reveal that the mutant protein unfolds more readily than the wt, in agreement with its decreased stability. Also, among the regions that unfold early is the alpha-helix C-terminus, where 2 out of the 4 mutations reside. NMR experiments by our collaborators have shown this region to display increased flexibility in the monomeric state of the quadruple mutant.
Our atomic scale investigation has thus provided insights into how sequence modifications can foster domain swapping of GB1. Our findings indicate that the role of the amino acid substitutions is to decrease the stability of individual monomers while at the same time increase the stability of the swapped dimer, through the formation of non-native interactions. Both roles cooperate to foster swapping.
Doctorat en sciences, Spécialisation biologie moléculaire
info:eu-repo/semantics/nonPublished
Breuer, Thomas [Verfasser], Regina [Akademischer Betreuer] Dittmann, and Tobias G. [Akademischer Betreuer] Noll. "Development of ReRAM-based devices for logic- and computation-in-memory applications / Thomas Breuer ; Regina Dittmann, Tobias G. Noll." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1162499680/34.
Full textHiggs, C. "A computational study of the G-protein-G-protein coupled receptor interaction." Thesis, University of Essex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324216.
Full textTaddese, Bruck. "Computational modelling of G protein-coupled receptors." Thesis, University of Essex, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589439.
Full textHenne, Randal Marlow. "Computational studies of G-protein coupled receptors /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/8048.
Full textDuong, Chi-Hong. "Approches statistiques en pharmacoépidémiologie pour la prise en compte des facteurs de confusion indirectement mesurés dans les bases de données médico-administratives : Application aux médicaments pris au cours de la grossesse." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASR028.
Full textHealthcare administrative databases are increasingly used in pharmacoepidemiology. However, the existence of unmeasured and uncontrolled confounders can bias analyses. In this work, we explore the value of leveraging the richness of data through large-scale selection of a large number of measured covariates correlated with unmeasured confounders to indirectly adjust for them. This concept is the cornerstone of the High-dimensional propensity score (hdPS), and we apply the same approach to G-computation (GC) and Targeted Maximum Likelihood Estimation (TMLE). Although these methods have been evaluated in some simulation studies, their performance on large real-world databases remains underexplored. This thesis aims to assess their contributions to mitigating the effect of directly or indirectly measured confounders in the French administrative health care database (SNDS) for pharmacoepidemiological studies in pregnant women. In Chapter 2, we used a set of reference drugs related to prematurity to compare the performance of the three methods. All reduced confounding bias, with GC showing the best performance. In Chapter 3, we conducted an hdPS analysis in a more complex modeling setting to investigate the controversial association between non-steroidal anti-inflammatory drugs (NSAIDs) and miscarriage. We implemented a Cox model with time-dependent variables and the “lag-time” approach to address other biases (immortal time bias and protopathic bias). We compared analyses adjusted for factors chosen according to the current literature with those chosen by the hdPS algorithm. In both types of analysis, NSAIDs were associated with an increased risk of miscarriage, and the observed differences in estimated risks could partly be explained by the difference between the causal estimands targeted by the approaches. Our work confirms the contribution of statistical methods to reducing confounding bias. It also highlights major challenges encountered during their practical application, related to the complexity of modeling and study design, as well as their computational cost
Simpson, Lisa Marie. "Computational studies of G protein-coupled receptor activation." Thesis, University of Essex, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520117.
Full textHeo, Jiyoung Beauchamp Jesse L. "Computational studies of orphan G protein-coupled receptors /." Diss., Pasadena, Calif. : California Institute of Technology, 2007. http://resolver.caltech.edu/CaltechETD:etd-11102006-144154.
Full textDilner, David. "Profitability = f(G) : Computational Thermodynamics, Materials Design and Process Optimization." Doctoral thesis, KTH, Materialvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191243.
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Baragatti, Meïli. "Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance." Thesis, Aix-Marseille 2, 2011. http://www.theses.fr/2011AIX22100/document.
Full textThis thesis is divided into two main parts. In the first part, we propose a Bayesian variable selection method for probit mixed models. The objective is to select few relevant variables among tens of thousands while taking into account the design of a study, and in particular the fact that several datasets are merged together. The probit mixed model used is considered as part of a larger hierarchical Bayesian model, and the dataset is introduced as a random effect. The proposed method extends a work of Lee et al. (2003). The first step is to specify the model and prior distributions. In particular, we use the g-prior of Zellner (1986) for the fixed regression coefficients. In a second step, we use a Metropolis-within-Gibbs algorithm combined with the grouping (or blocking) technique of Liu (1994). This choice has both theoritical and practical advantages. The method developed is applied to merged microarray datasets of patients with breast cancer. However, this method has a limit: the covariance matrix involved in the g-prior should not be singular. But there are two standard cases in which it is singular: if the number of observations is lower than the number of variables, or if some variables are linear combinations of others. In such situations we propose to modify the g-prior by introducing a ridge parameter, and a simple way to choose the associated hyper-parameters. The prior obtained is a compromise between the conditional independent case of the coefficient regressors and the automatic scaling advantage offered by the g-prior, and can be linked to the work of Gupta and Ibrahim (2007).In the second part, we develop two new population-based MCMC methods. In cases of complex models with several parameters, but whose likelihood can be computed, the Equi-Energy Sampler (EES) of Kou et al. (2006) seems to be more efficient than the Parallel Tempering (PT) algorithm introduced by Geyer (1991). However it is difficult to use in combination with a Gibbs sampler, and it necessitates increased storage. We propose an algorithm combining the PT with the principle of exchange moves between chains with same levels of energy, in the spirit of the EES. This adaptation which we are calling Parallel Tempering with Equi-Energy Move (PTEEM) keeps the original idea of the EES method while ensuring good theoretical properties and a practical use in combination with a Gibbs sampler.Then, in some complex models whose likelihood is analytically or computationally intractable, the inference can be difficult. Several likelihood-free methods (or Approximate Bayesian Computational Methods) have been developed. We propose a new algorithm, the Likelihood Free-Parallel Tempering, based on the MCMC theory and on a population of chains, by using an analogy with the Parallel Tempering algorithm
Books on the topic "G-Computation"
Altinakar, M. S. Computational modeling for the development of sustainable water-resources systems in Poland: US-Poland Technology Transfer Program US-AID award number: EEE-G-00-02-00015-00. Warszawa: Institute of Geophysics, Polish Academy of Science, 2005.
Find full textVychislitelʹnai︠a︡ filogenetika i genosistematika (2007 Moscow, Russia). Vychislitelʹnai︠a︡ filogenetika i genosistematika "VFGS'2007": K 50-letii︠u︡ stanovlenii︠a︡ otechestvennoĭ filogenetiki i genosistematiki : materialy mezhdunarodnoĭ konferent︠s︡ii, 16-19 noi︠a︡bri︠a︡ 2007 g., g. Moskva = Computational phylogenetics and molecular systematics "CPMS' 2007" : commemorating the 50th anniversary of Molecular Phylogenetics and Systematics in Russia conference proceedings, November 16-19, 2007, Moscow, Russia. Moskva: T-vo nauch. izdaniĭ KMK, 2007.
Find full textVychislitelʹnai︠a︡ filogenetika i genosistematika (2007 Moscow, Russia). Vychislitelʹnai︠a︡ filogenetika i genosistematika "VFGS'2007": K 50-letii︠u︡ stanovlenii︠a︡ otechestvennoĭ filogenetiki i genosistematiki : materialy mezhdunarodnoĭ konferent︠s︡ii, 16-19 noi︠a︡bri︠a︡ 2007 g., g. Moskva = Computational phylogenetics and molecular systematics "CPMS' 2007" : commemorating the 50th anniversary of Molecular Phylogenetics and Systematics in Russia conference proceedings, November 16-19, 2007, Moscow, Russia. Moskva: T-vo nauch. izdaniĭ KMK, 2007.
Find full textInternational Conference of Mathematical Modeling and Computational Experiments (3rd 2002 Dushanbe, Tajikistan). Materialy 3-eĭ Mezhdunarodnoĭ konferent︠s︡ii po matematicheskomu modelirovanii︠u︡ i vychislitelʹnomu ėksperimentu, Dushanbe, 10-12 dekabri︠a︡ 2002 g. = Tajik State National University : proceedings of the 3rd International Conference of Mathematical Modeling and Computational Experiments, Dushanbe,December 10-12, 2002. Dushanbe: Tadzhikskiĭ gos. natsional'nyĭ universitet, 2002.
Find full textAdamatzky, Andrew. Emergent Computation: A Festschrift for Selim G. Akl. Springer, 2016.
Find full textAdamatzky, Andrew. Emergent Computation: A Festschrift for Selim G. Akl. Springer, 2018.
Find full textAdamatzky, Andrew. Emergent Computation: A Festschrift for Selim G. Akl. Springer International Publishing AG, 2016.
Find full textEnright, Brian E. Fractions, Decimals: Teachers Guide/Books E,F,G,L,M (Enright Computation Series, Th789). Curriculum Associates Inc, 1986.
Find full textBausch, Win. OPERA-G: A microkernel for computational grids. 2004.
Find full textGuide: Guide for the Verification and Validation of Computational Fluid Dynamics Simulations (AIAA G-077-1998(2002)). Washington, DC: American Institute of Aeronautics and Astronautics, Inc., 1998. http://dx.doi.org/10.2514/4.472855.
Full textBook chapters on the topic "G-Computation"
Romero, G., M. G. Arenas, J. G. Castellano, P. A. Castillo, J. Carpio, J. J. Merelo, A. Prieto, and V. Rivas. "Evolutionary Computation Visualization: Application to G-PROP." In Parallel Problem Solving from Nature PPSN VI, 902–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45356-3_88.
Full textChakraborty, Bibhas, and Erica E. M. Moodie. "G-computation: Parametric Estimation of Optimal DTRs." In Statistical Methods for Dynamic Treatment Regimes, 101–12. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7428-9_6.
Full textHaqiqi, Iman, and Uris Lantz C. Baldos. "Computation and Baseline: Efficient Methods for Solving a Large System of Equations for Projection and Scenario Analysis." In SIMPLE-G, 103–11. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68054-0_8.
Full textFikioris, George. "Generalized Hypergeometric Functions, Meijer G-Functions, and Their Numerical Computation." In Mellin-Transform Method for Integral Evaluation, 17–20. Cham: Springer International Publishing, 2007. http://dx.doi.org/10.1007/978-3-031-01697-4_3.
Full textHerrmann, Christoph. "Efficient Computation of Waiting Time Moments for the DBMAP/G/1/N Queue." In IFIP Advances in Information and Communication Technology, 481–96. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35353-1_24.
Full textCornelissen, Gunther, and Norbert Peyerimhoff. "Examples of Homologically Wide Actions." In Twisted Isospectrality, Homological Wideness, and Isometry, 73–83. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27704-7_9.
Full textRomero, Jazmín, and Alejandro López-Ortiz. "The ${\mathcal{G}}$ -Packing with t-Overlap Problem." In Algorithms and Computation, 114–24. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04657-0_13.
Full textDvořák, Zdeněk, and Vít Jelínek. "On the Complexity of the G-Reconstruction Problem." In Algorithms and Computation, 196–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11602613_21.
Full textZhu, Xin-jie. "A Finite Spectrum Unmixing Set For \mathcal{G}\mathcal{L}{\text{(3,}}\mathcal{R}{\text{)}}." In Computation and Control, 403–10. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4612-3704-4_30.
Full textLi, Quan-Lin. "Markov Chains of GI/G/1 Type." In Constructive Computation in Stochastic Models with Applications, 131–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11492-2_3.
Full textConference papers on the topic "G-Computation"
Alsunaidi, Abdullah, Safwat Abdel-Azeim, C. Richard Catlow, Alexey Sokols, and Scott Woodley. "Charge Transfer in the Fe/g-C3N4/MoS2 Heterojunction: A Computational Study." In 2024 IEEE 14th International Conference Nanomaterials: Applications & Properties (NAP), 1–4. IEEE, 2024. http://dx.doi.org/10.1109/nap62956.2024.10739735.
Full textSpera, Emiliano, Giovanni Gallo, Dario Allegra, Filippo Stanco, Andrea Maugeri, Annalisa Quattrocchi, Martina Barchitta, and Antonella Agodi. "Randomized G-Computation Models in Healthcare Systems." In 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2018. http://dx.doi.org/10.1109/cbms.2018.00021.
Full textWang, Changping, Chaokun Wang, Gaoyang Guo, Xiaojun Ye, and Philip S. Yu. "Efficient Computation of G-Skyline Groups (Extended Abstract)." In 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018. http://dx.doi.org/10.1109/icde.2018.00242.
Full textZacharewicz, G., N. Giambiasi, and C. Frydman. "Improving the lookahead computation in G-DEVS/HLA environment." In DS-RT 2005 Proceedings. Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications. IEEE, 2005. http://dx.doi.org/10.1109/distra.2005.24.
Full textZhang, Jie, Yan Chen, Xiang Hu, Jiwei Hu, and Lintao Yang. "G-Computation Demonstration in Causal Mediation Analysis with Multiple Mediators." In 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI). IEEE, 2022. http://dx.doi.org/10.1109/seai55746.2022.9832193.
Full textLiu, Fuhao, Yongmin Shuai, Xin Zhang, Yunfei Xiong, and Yong Zeng. "G-Computation Demonstration in Estimating Causal Effects with Time-Dependent Confounding." In 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI). IEEE, 2022. http://dx.doi.org/10.1109/seai55746.2022.9832345.
Full textSpitler, Jeffrey, and Jack Cook. "Faster computation of g-functions used for modeling of ground heat exchangers." In 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.31086.
Full textBean, Andrew, Nachiket Kapre, and Peter Cheung. "G-DMA: improving memory access performance for hardware accelerated sparse graph computation." In 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE, 2015. http://dx.doi.org/10.1109/reconfig.2015.7393317.
Full textAmiri, Neda Kazemian, Sied Mehdi Fakhraie, Gholam-Ali Hosein-Zadeh, and Sied Mahmoud Mousavinejad. "Modeling of ITU-T G.729 codec with bit-width optimization for intensive computation blocks." In 2007 International Conference on Microelectronics - ICM. IEEE, 2007. http://dx.doi.org/10.1109/icm.2007.4497659.
Full textJin, Yue, Chengying Huan, Heng Zhang, Yongchao Liu, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, and Wenguang Chen. "G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs." In 2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT). IEEE, 2023. http://dx.doi.org/10.1109/pact58117.2023.00020.
Full textReports on the topic "G-Computation"
Smith, Bradley W. Distributed Computing for Signal Processing: Modeling of Asynchronous Parallel Computation. Appendix G. On the Design and Modeling of Special Purpose Parallel Processing Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1985. http://dx.doi.org/10.21236/ada167622.
Full textBryan Sallee, Colleen E. Characterization of Reference Material 8210:. Gaithersburg, MD: National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.sp.260-248.
Full textTow Leong, Tiang, Mohd Saufi Ahmad, Ang Qian Yee, Syahrun Nizam Md Arshad@Hashim, Mohd Faizal Mohd Zahir, Mohd Azlizan Moh Adib, Nazril Husny, Tan Kheng Kwang, and Dahaman Ishak. HANDBOOK OF ELECTRICAL SYSTEM DESIGN FOR NON-DOMESTIC BUILDING. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.001.
Full textVold, E. Synopsis of some preliminary computational studies related to unsaturated zone transport at Area G. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/650172.
Full textShukla, Manoj K., Luidmyla K. Sviatenko, Sergly I. Okovytyy, Danuta Leszczynska, and Jerzy Leszczynski. Catalytic Role of Solvated Electron in the Spontaneous Degradation of Insensitive Munition Compounds : Computational Chemistry Investigation. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41122.
Full textBorgwardt, Stefan, Felix Distel, and Rafael Peñaloza. Gödel Description Logics: Decidability in the Absence of the Finitely-Valued Model Property. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.199.
Full textKotliar, Gabriel. Final Report of the CMSN team working on computational-design-Fe-based-superconductors ( 8/31/10-8/31/13). Team Leader G. Kotliar Rutgers University. (DE-SC0005468). Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1163667.
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