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Relevant bibliographies by topics / DMRL

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Academic literature on the topic 'DMRL'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "DMRL"

1

Van Damme, Mireille, Annemiek Andel, Robin P. Huibers, Ralph Panstruga, Peter J. Weisbeek, and Guido Van den Ackerveken. "Identification of Arabidopsis Loci Required for Susceptibility to the Downy Mildew Pathogen Hyaloperonospora parasitica." Molecular Plant-Microbe Interactions® 18, no. 6 (2005): 583–92. http://dx.doi.org/10.1094/mpmi-18-0583.

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Plants are susceptible to a limited number of pathogens. Most infections fail due to active defense or absence of compatibility. Many components of the plant's surveillance system and defense arsenal have been identified in the last decades. However, knowledge is limited on compatibility; in particular, the role of plant factors in the infection process. To gain insight into these processes, we have initiated an Arabidopsis thaliana mutant screen for reduced susceptibility to the downy mildew pathogen Hyaloperonospora parasitica. Ethyl methane sulfonate (EMS) mutants were generated in the highly susceptible Arabidopsis line L er eds1-2. Eight downy mildew-resistant (dmr) mutants were analyzed in detail, corresponding to six different loci. Microscopic analysis showed that, in all mutants, H. parasitica growth was severely reduced. Resistance of dmr3, dmr4, and dmr5 was associated with constitutive expression of PR-1. Furthermore, dmr3 and dmr4, but not dmr5, also were resistant to Pseudomonas syringae and Golovinomyces orontii, respectively. However, enhanced activation of plant defense was not observed in dmr1, dmr2, and dmr6. We postulate that, in these susceptibility mutants, cellular processes are disrupted which are required for H. parasitica infection. This interesting new set of mutants provides a basis to elucidate the molecular processes underlying susceptibility to downy mildew in Arabidopsis.

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Fagiuoli, Enrico, and Franco Pellerey. "Moment inequalities for sums of DMRL random variables." Journal of Applied Probability 34, no. 2 (1997): 525–35. http://dx.doi.org/10.2307/3215391.

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Some moment inequalities are known to be valid for non-parametric lifetime distribution classes. Here we consider one set of these inequalities, which hold for random variables that are DMRL (decreasing in mean residual life). We prove that such inequalities are satisfied by variables which are sums of DMRL random variables too, though these sums are not necessarily DMRL. Related results are shown, together with similar results valid for the stochastic comparison in mean residual life.

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Fagiuoli, Enrico, and Franco Pellerey. "Moment inequalities for sums of DMRL random variables." Journal of Applied Probability 34, no. 02 (1997): 525–35. http://dx.doi.org/10.1017/s0021900200101159.

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Some moment inequalities are known to be valid for non-parametric lifetime distribution classes. Here we consider one set of these inequalities, which hold for random variables that are DMRL (decreasing in mean residual life). We prove that such inequalities are satisfied by variables which are sums of DMRL random variables too, though these sums are not necessarily DMRL. Related results are shown, together with similar results valid for the stochastic comparison in mean residual life.

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Lim, Jae-Hak, and Dong Ho Park. "Test for DMRL using censored data." Journal of Nonparametric Statistics 3, no. 2 (1993): 167–73. http://dx.doi.org/10.1080/10485259308832579.

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Hassan, Marwa KH, Shaaban E. Abu-Youssef, and Mostafa M. Mohie El-Din. "Nonparametric Testing for More DMRL Ordering." Research Journal of Mathematics and Statistics 6, no. 2 (2014): 23–29. http://dx.doi.org/10.19026/rjms.6.5809.

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Cheng, Kan, and Zongfu He. "On proximity between exponential and DMRL distributions." Statistics & Probability Letters 8, no. 1 (1989): 55–57. http://dx.doi.org/10.1016/0167-7152(89)90083-7.

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Bassan, Bruno, Subhash Kochar, and Fabio Spizzichino. "Some bivariate notions of IFR and DMRL and related properties." Journal of Applied Probability 39, no. 03 (2002): 533–44. http://dx.doi.org/10.1017/s002190020002177x.

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Recently Bassan and Spizzichino (1999) have given some new concepts of multivariate ageing for exchangeable random variables, such as a special type of bivariate IFR, by comparing distributions of residual lifetimes of dependent components of different ages. In the same vein, we further study some properties of these concepts of IFR in the bivariate case. Then we introduce certain concepts of bivariate DMRL ageing and we develop a treatment that parallels those developed for bivariate IFR. For both the IFR and DMRL concepts, we analyse a weak and a strong version, and discuss some of the differences between them.

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Bassan, Bruno, Subhash Kochar, and Fabio Spizzichino. "Some bivariate notions of IFR and DMRL and related properties." Journal of Applied Probability 39, no. 3 (2002): 533–44. http://dx.doi.org/10.1239/jap/1034082125.

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Recently Bassan and Spizzichino (1999) have given some new concepts of multivariate ageing for exchangeable random variables, such as a special type of bivariate IFR, by comparing distributions of residual lifetimes of dependent components of different ages. In the same vein, we further study some properties of these concepts of IFR in the bivariate case. Then we introduce certain concepts of bivariate DMRL ageing and we develop a treatment that parallels those developed for bivariate IFR. For both the IFR and DMRL concepts, we analyse a weak and a strong version, and discuss some of the differences between them.

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Sato, Yuichi, Satoshi Shimizu, Akashi Ohtaki, et al. "Crystal Structures of the Lumazine Protein from Photobacterium kishitanii in Complexes with the Authentic Chromophore, 6,7-Dimethyl- 8-(1′-d-Ribityl) Lumazine, and Its Analogues, Riboflavin and Flavin Mononucleotide, at High Resolution." Journal of Bacteriology 192, no. 1 (2009): 127–33. http://dx.doi.org/10.1128/jb.01015-09.

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ABSTRACT Lumazine protein (LumP) is a fluorescent accessory protein having 6,7-dimethyl-8-(1′-d-ribityl) lumazine (DMRL) as its authentic chromophore. It modulates the emission of bacterial luciferase to shorter wavelengths with increasing luminous strength. To obtain structural information on the native structure as well as the interaction with bacterial luciferase, we have determined the crystal structures of LumP from Photobacterium kishitanii in complexes with DMRL and its analogues, riboflavin (RBF) and flavin mononucleotide (FMN), at resolutions of 2.00, 1.42, and 2.00 Å. LumP consists of two β barrels that have nearly identical folds, the N-terminal and C-terminal barrels. The structures of LumP in complex with all of the chromophores studied are all essentially identical, except around the chromophores. In all of the structures, the chromophore is tethered to the narrow cavity via many hydrogen bonds in the N-terminal domain. These are absent in the C-terminal domain. Hydrogen bonding in LumP-FMN is decreased in comparison with that in LumP-RBF because the phosphate moiety of FMN protrudes out of the narrow cavity. In LumP-DMRL, the side chain of Gln65 is close to the ring system, and a new water molecule that stabilizes the ligand is observed near Ser48. Therefore, DMRL packs more tightly in the ligand-binding site than RBF or FMN. A docking simulation of bacterial luciferase and LumP suggests that the chromophore is located close enough for direct energy transfer to occur. Moreover, the surface potentials around the ligand-binding sites of LumP and bacterial luciferase exhibit complementary charge distributions, which would have a significant effect on the interaction between LumP and luciferase.

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Lim, Jae-Hak, and Dong ho Park. "A family of test statistics for DMRL (IMRL) alternatives." Journal of Nonparametric Statistics 8, no. 4 (1997): 379–92. http://dx.doi.org/10.1080/10485259708832727.

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Dissertations / Theses on the topic "DMRL"

1

Zocca, Andrea. "An application of Trotter's algorithm to DMRG simulation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13452/.

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La seguente tesi presenta l'implementazione in codice C++ di un algoritmo per l'evoluzione temporale del DMRG, basato sull'approssimazione di Trotter per primi vicini. Il corretto funzionamento del codice è stato controllato calcolando un ristema risolubile esattamente, la catena di fermioni liberi senza spin (con condizioni al contorno aperte); in seguito il nuovo algoritmo è stato comparato con l'evoluzione temporale del DMRG basata sul metodo di Runge-Kutta. L'analisi degli errori ha mostrato come, per brevi periodi di tempo, il metodo di Runge-Kutta sia il più adatto fra i due, mentre per periodi di media durata il metodo di Trotter offra prestazioni migliori. Le evoluzioni temporali per tempi elevati sono attualmente al di là della portata di entrambi gli algoritmi.

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Grisot, Giorgia. "Validation of dMRI techniques for mapping brain pathways." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122194.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D., Harvard-MIT Program in Health Sciences and Technology, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 201-222).<br>Diffusion magnetic resonance imaging (dMRI) tractography is the only non-invasive tool for studying the connectional architecture of the brain in vivo. By measuring the diffusion of water molecules dMRI provides unique information about white matter pathways and their integrity, making it an invaluable neuroimaging tool that has improved our understanding of the human brain and how it is affected by disease. A major roadblock to its acceptance into clinical practice has been the difficulty in assessing its anatomical accuracy and reliability. In fact, obtaining a map of brain pathways is a multi-step process with numerous variables, assumptions and approximations that can influence the veracity of the generated pathways. Validation is, thus, necessary and yet challenging because there is no gold standard which dMRI can be compared to, since the configuration of human brain connections is largely unknown. Which aspects of tractography processing have the greatest effect on its performance? How do mapping methods compare? Which one is the most anatomically accurate? We tackle these questions with a multi-modal approach that capitalizes on the complementary strengths of available validation strategies to probe dMRI performance on different scales and across a wide range of acquisition and analysis parameters. The outcome is a multi-layered validation of dMRI tractography that 1) quantifies dMRI tractography accuracy both on the level of brain connections and tissue microstructure; 2) highlights the strengths and weaknesses of different modeling and tractography approaches, offering guidance on the issues that need to be resolved to achieve a more accurate mapping of the human brain.<br>by Giorgia Grisot.<br>Ph. D.<br>Ph.D. Harvard-MIT Program in Health Sciences and Technology

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Adler, Severino. "Hubbard to Falicov-Kimball-a DMFT[DMRG] study." Thesis, Uppsala universitet, Materialteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-315603.

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Giske, Mats Andreas. "DML in VIDEO-CONFERENCING APPLICATIONS." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19416.

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Today's audio in video-conference rooms do not in general have high quality audio standards.Most of the set-ups are PC-Speakers mounted on the wall, with a microphone on the table. With this, strong room modes are often excited from the speakers. When speaking to someone which also have bad equipment, the speech-intelligibility can be really bad. One solution presented with this Master thesis is to improve the loudspeaker set-up by mounting a DML(Distributed Mode Loudspeaker) above and parallel to the conference table. The DML will then radiate sound on both sides of the table equally in opposite phase, like a dipole. This will also minimize sound-radiation to the ceiling and the office-table.The DML is designed and modified from a loudspeaker originally deigned by the loudspeaker-company e-Scape. The Plexiglas panel, made out of an Acrylic material, has exciters mounted on the panel. After testing different combinations of two and three exciters in an anechoic chamber, the polar frequency response of the DML with only one exciter had a much better response than the other combinations.The idea of mounting the DML over the table is that the audience will get closer to the sound source, and room-effects will be very small compared to the direct signal. This should give a much better speech-intelligibility of the perceived sound signal compared to existing solutions. Subjective tests show that the majority of the participants preferred the DML rather than the PC-Speaker in all areas; a more natural sound, more closeness to the one speaking and better speech-intelligibility.One problem, which is seen on the measurements and feedback from the participants on the subjective test, is a low SPL(Sound Pressure Level) in the low frequency area. Under 100Hz the magnitude of the DML is reduced, compared to the response of ordinary monopole speakers. From this frequency area one can also see some dipole effects from the results, which gives us good qualities such as less radiation to the ceiling and the office table.

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Holzner, Andreas Michael. "DMRG studies of Chebyshev-expanded spectral functions and quantum impurity models." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-139333.

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Friedrich, Andreas. "Time-dependent properties of one-dimensional spin-systems a DMRG-study /." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=982172842.

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Lewis, Annabelle Jane. "The control and function of DMRs in the Igf2-H19 locus." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619942.

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Istanbulluoglu, Ipek. "A Novel Modeling Methodology And Performance Improvement Technique For Dmtl Phase Shifters." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607522/index.pdf.

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This thesis presents distributed MEMS transmission line (DMTL) phase shifters, emphasizing the circuit modeling and design as well as the performance improvement. A novel modeling methodology is introduced for DMTL unit sections, with bridge widths larger than 50 &amp<br>#956<br>m. The introduced model is compared with EM simulation results and the CLR modeling results. For structures with bridge widths larger than 50 &amp<br>#956<br>m, the introduced model fits the simulation results much better than the CLR model. The simulated structures are fabricated in METU micro-electronics facilities on glass substrates using gold structural layers. 1-20 GHz S-parameter measurement results of various DMTL structures are compared with the introduced model. It is observed that the S-parameters match except for a scaling need in the insertion loss. The measurement results give 2 dB insertion and 15 dB isolation at 20 GHz. The ABCD parameters of the introduced model are converted into S-parameters. Loss and the phase shift of the DMTL structures are expressed in terms of these S-parameters. These expressions are re-written as MATLAB code, from which the phase shift/loss (degree/dB) performance is evaluated. Therefore degree/dB plots with respect to bridge widths and center CPW conductor widths are obtained. From these plots the optimum DMTL phase shifters, which give maximum phase shift for minimum loss are determined for a pre-defined DMTL structure. To increase the degree/dB performance of a DMTL phase shifter, a change in the geometry of the DMTL phase shifters is proposed. The geometry change is based on inserting an open-ended stub through the signal line and connecting one side of the stub to the bridge. By this way, the stub capacitance is added to the shunt capacitance of the bridge satisfying a larger phase shift. The simulations point out a performance of 217 degree/dB at 20 GHz with a 15 % change in the 25 &amp<br>#956<br>m wide bridge height ratio.

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Kemper, Andreas. "Transfermatrix-DMRG for dynamics of stochastic models and thermodynamics of fermionic models." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969450168.

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Zhu, Xianmin Elefant Felice. "The histone acetyltransferase Dmel\TIP60 Is essential for multicellular development in Drosophila /." Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/2582.

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Books on the topic "DMRL"

1

Indian Council of Agricultural Research. Directorate of Maize Research. DMR vision 2030. Indian Council of Agricultural Research, Directorate of Maize Research, 2011.

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Faria, Sérgio Henrique, Sepp Kipfstuhl, and Anja Lambrecht. The EPICA-DML Deep Ice Core. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55308-4.

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Epstein, T. Scarlett. A training manual for development market research (DMR) investigators. BBC World Service and Innovative Development Research, 1991.

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The DMR method: Non-surgical solution to severe back pain. Tangletown Media, 2015.

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Oo, Cho Mar. Annotated bibliography of traditional medicine research carried out at DMR (LM) during 1965-2011. Ministry of Health, Department of Medical Research (Lower Myanmar), Central Biomedical Library, 2012.

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Maders, Henri-Pierre. Piloter les risques d'un projet: [mettre en oeuvre un dispositif de maîtrise des risques (DMR)]. Ed. d'Organisation, 2009.

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Werre, Timothy J. The activation and testing of the network CODASYL-DML interface of the M²DBMS using the EWIR database. Naval Postgraduate School, 1996.

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Werre, Timothy J. The activation and testing of the network CODASYL-DML interface of the M²DBMS using the EWIR database. Naval Postgraduate School, 1996.

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9

Connecticut. Dept. of Mental Retardation. DMR evaluation of state properties pursuant to Public Act no. 01-154: Report of the Commissioner of Mental Retardation to the Joint Standing Committee on Public Health. Dept. of Mental Retardation, 2002.

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Buttimer, John. An investigation of an ageing learning disabled population using the Dementia Questionnaire for the Mentally Retarded (DMR): A comparison of a cohort of clients with Down's syndrome or a familial aetiology over the age of 45 years. The Author], 1997.

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Book chapters on the topic "DMRL"

1

Ray, Tanusri, and Debasis Sengupta. "Testing for the Goodness of Fit for the DMRL Class of Life Distributions." In Strategic Management, Decision Theory, and Decision Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1368-5_9.

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Lukas, Thomas J., Daniela V. Rosa, Luiz Alexandre V. Magno, et al. "Dmel." In Encyclopedia of Signaling Molecules. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0461-4_100355.

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Borrie, Helen. "DML Queries." In The Firebird Book: A Reference for Database Developers. Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0743-6_20.

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Levi, Itamar, and Alexander Fish. "DML Control." In Dual Mode Logic. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40786-5_6.

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Delley, B. "DMol Methodology and Applications." In Density Functional Methods in Chemistry. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3136-3_7.

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Bain, Tony, Baya Pavliashvili, Joseph Sack, Michael Benkovich, and Brian Freeman. "DML and Querying." In Beginning SQL Server 2000 DBA: From Novice to Professional. Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0703-0_4.

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Levi, Itamar, and Alexander Fish. "Low-Voltage DML." In Dual Mode Logic. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40786-5_4.

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Herzog-Punzenberger, Barbara. "Das DMR-Profil." In Ungleichheit in der Einwanderungsgesellschaft. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-16702-8_4.

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Sasheva, Pavlina, and Ueli Grossniklaus. "Differentially Methylated Region-Representational Difference Analysis (DMR-RDA): A Powerful Method to Identify DMRs in Uncharacterized Genomes." In Plant Epigenetics. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7708-3_10.

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Shaules, Joseph. "The DMLL in Language Learning." In Language, Culture, and the Embodied Mind. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0587-4_13.

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Conference papers on the topic "DMRL"

1

Xu, Cai, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, and Zhiheng Wang. "Deep Multi-View Concept Learning." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/402.

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Multi-view data is common in real-world datasets, where different views describe distinct perspectives. To better summarize the consistent and complementary information in multi-view data, researchers have proposed various multi-view representation learning algorithms, typically based on factorization models. However, most previous methods were focused on shallow factorization models which cannot capture the complex hierarchical information. Although a deep multi-view factorization model has been proposed recently, it fails to explicitly discern consistent and complementary information in multi-view data and does not consider conceptual labels. In this work we present a semi-supervised deep multi-view factorization method, named Deep Multi-view Concept Learning (DMCL). DMCL performs nonnegative factorization of the data hierarchically, and tries to capture semantic structures and explicitly model consistent and complementary information in multi-view data at the highest abstraction level. We develop a block coordinate descent algorithm for DMCL. Experiments conducted on image and document datasets show that DMCL performs well and outperforms baseline methods.

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Huai, Mengdi, Hongfei Xue, Chenglin Miao, et al. "Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/352.

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As an effective way to learn a distance metric between pairs of samples, deep metric learning (DML) has drawn significant attention in recent years. The key idea of DML is to learn a set of hierarchical nonlinear mappings using deep neural networks, and then project the data samples into a new feature space for comparing or matching. Although DML has achieved practical success in many applications, there is no existing work that theoretically analyzes the generalization error bound for DML, which can measure how good a learned DML model is able to perform on unseen data. In this paper, we try to fill up this research gap and derive the generalization error bound for DML. Additionally, based on the derived generalization bound, we propose a novel DML method (called ADroDML), which can adaptively learn the retention rates for the DML models with dropout in a theoretically justified way. Compared with existing DML works that require predefined retention rates, ADroDML can learn the retention rates in an optimal way and achieve better performance. We also conduct experiments on real-world datasets to verify the findings derived from the generalization error bound and demonstrate the effectiveness of the proposed adaptive DML method.

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Nomura, Shuou, Matthew D. Sinclair, Chen-Han Ho, Venkatraman Govindaraju, Marc de Kruijf, and Karthikeyan Sankaralingam. "Sampling + DMR." In Proceeding of the 38th annual international symposium. ACM Press, 2011. http://dx.doi.org/10.1145/2000064.2000089.

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"How to Configure 5G DMRS." In 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020. http://dx.doi.org/10.1109/siu49456.2020.9302440.

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Kudumakis, Panos. "Proceedings of the DMRN+11 Digital Music Research Network Workshop." In DMRN+11 Digital Music Research Network One-Day Workshop 2016, edited by Mark Sandler. Queen Mary University of London, 2016. http://dx.doi.org/10.26494/dmrn.2016.19345.

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Kudumakis, Panos, and Mark Sadler. "Proceedings of the DMRN+12: Digital Music Research Network Workshop." In DMRN+12: Digital Music Research Network Workshop Proceedings 2017. Queen Mary University of London, 2017. http://dx.doi.org/10.26494/dmrn.2017.30583.

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Kudumakis, Panos, and Mark Sadler. "Proceedings of the DMRN+13: Digital Music Research Network Workshop." In DMRN+12: Digital Music Research Network Workshop Proceedings 2018. Queen Mary University of London, 2018. http://dx.doi.org/10.26494/dmrn.2018.53783.

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KUDUMAKIS, P. "DMRN+14: Digital Music Research Network Workshop 2019." In DMRN+14: Digital Music Research Network Workshop Proceedings 2019, edited by S. DIXON. Queen Mary University of London, 2019. http://dx.doi.org/10.26494/dmrn.2018.61898.

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KUDUMAKIS, P. "DMRN+14: Digital Music Research Network Workshop." In DMRN+14: Digital Music Research Network Workshop Proceedings 2019, edited by S. DIXON. Queen Mary University of London, 2019. http://dx.doi.org/10.26494/dmrn.2019.61898p.

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Cherifi, Dalila, Ali Chellouche, Amazigh Ait Ouakli, Youcef Benamara, and Rachid Deriche. "Tensor estimation and visualization using dMRI." In 2013 8th InternationalWorkshop on Systems, Signal Processing and their Applications (WoSSPA). IEEE, 2013. http://dx.doi.org/10.1109/wosspa.2013.6602337.

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Reports on the topic "DMRL"

1

Abouammoh, A., and E. El-Neweihi. Closure of the NBUE (New Better Than Used in Expectation) and DMRL (Decreasing Mean Residual Life) Classes under Formation of Parallel Systems. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada172094.

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Mielke, Charles H. NSF-DMR Highlight from NHMFL-PFF 2017. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1371658.

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Nexsen, W., and J. Weir. DML and Foil Measurements of ETA Beam Radius. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/877781.

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Jacquez, Carla M. NPDES PERMIT NO. NM 0028355 MONTHLY DISCHARGE MONITORING REPORTS (DMRS) FOR FEBRUARY 2011. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1011071.

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Lemson, Gerard, Omar Laurino, Laurent Bourges, et al. VO-DML: a consistent modeling language for IVOA data models Version 1.0. Edited by Gerard Lemson and Omar Laurino. International Virtual Observatory Alliance, 2018. http://dx.doi.org/10.5479/ads/bib/2018ivoa.spec.0910l.

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Cownie, J., J. Jr, B. de Supinski, and K. Warren. A White Paper Prepared for the OpenMP Architectural Review Board on DMPL: An OpenMP DLL Debugging Interface. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/15014038.

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Thompson, D. B., and W. J. Bradley. Integrated Information Support System (IISS). Volume 5. Common Data Model Subsystem. Part 17. NDML Precompiler Transform Internal Schema Access Path to Generic DML Product Specification. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada182006.

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