Relevant bibliographies by topics / Domain structure

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Domain structure'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Domain structure"

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Daminov, Mirzogid Islomovich, Mirzo Zokirovich Sharipov, Rustam Khalilovich Shamsiev, and Dilshod Ergashovich Khaitov. "DOMAIN STRUCTURE AND SOME PROPERTIES OF RARE-EARTH GRANITE FERRITES." Scientific Reports of Bukhara State University 4, no. 3 (June 26, 2020): 3–9. http://dx.doi.org/10.52297/2181-1466/2020/4/3/12.

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The crystals of rare-earth garnet ferrites have a complex domain structure, the form of which substantially depends on the crystallographic orientation of the under study sample. Due to the cubic symmetry of rare-earth garnet ferrites, 70, 110, and 180-degree domains can exist in them, and depending on the crystallographic orientation of the sample, the spontaneous magnetization vector in the realized domain configuration can lie in the plane of the sample (“Cotton” domains) perpendicular to the plane of the sample ("Faraday" domains), and make up a certain angle with its plane. According to known data, in all cases, the boundaries between neighboring domains in rare-earth garnet ferrites are the domain walls of the Bloch type
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Berrondo, Monica, Marc Ostermeier, and Jeffrey J. Gray. "Structure Prediction of Domain Insertion Proteins from Structures of Individual Domains." Structure 16, no. 4 (April 2008): 513–27. http://dx.doi.org/10.1016/j.str.2008.01.012.

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Urs, Usha K., Ramachandran Murali, and H. M. Krishna Murthy. "Structure of Taq DNA polymerase shows a new orientation for the structure-specific nuclease domain." Acta Crystallographica Section D Biological Crystallography 55, no. 12 (December 1, 1999): 1971–77. http://dx.doi.org/10.1107/s0907444999011324.

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Thermus aquaticus DNA polymerase I consists of the polymerase, the structure-specific nuclease and the vestigial editing nuclease domains. Three-dimensional structures of the native enzyme and its complex with DNA have already been reported. The structure of a complex with an inhibitory antibody has also been determined. The structure of the native enzyme in a different crystal form determined at 2.6 Å is reported here. Optimized anomalous diffraction measurements made at the holmium L III edge were valuable in validating solutions obtained through molecular replacement. The structure of the polymerase domain is similar to those reported previously, while the relative orientation of the structure-specific nuclease domain is significantly different from those of the native enzyme and the DNA complex; it is, however, identical to that observed in the structure of the Fab complex. In the structures of the native enzyme and of the DNA complex reported previously, the active site of the structure-specific nuclease domain is too far from that of the polymerase domain, making it difficult to propose a structural model for the in vivo primer-excision and nick-translation activities of the enzyme. In the present structure, the two active sites are considerably closer. Taken together, the reported structure of the native enzyme, that of the Fab complex and the present structure imply that the different orientation of the structure-specific nuclease domain is probably a consequence of intrinsically high relative mobility between these two domains in this enzyme.
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Zhou, Xiaogen, Jun Hu, Chengxin Zhang, Guijun Zhang, and Yang Zhang. "Assembling multidomain protein structures through analogous global structural alignments." Proceedings of the National Academy of Sciences 116, no. 32 (July 24, 2019): 15930–38. http://dx.doi.org/10.1073/pnas.1905068116.

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Most proteins exist with multiple domains in cells for cooperative functionality. However, structural biology and protein folding methods are often optimized for single-domain structures, resulting in a rapidly growing gap between the improved capability for tertiary structure determination and high demand for multidomain structure models. We have developed a pipeline, termed DEMO, for constructing multidomain protein structures by docking-based domain assembly simulations, with interdomain orientations determined by the distance profiles from analogous templates as detected through domain-level structure alignments. The pipeline was tested on a comprehensive benchmark set of 356 proteins consisting of 2–7 continuous and discontinuous domains, for which DEMO generated models with correct global fold (TM-score > 0.5) for 86% of cases with continuous domains and for 100% of cases with discontinuous domain structures, starting from randomly oriented target-domain structures. DEMO was also applied to reassemble multidomain targets in the CASP12 and CASP13 experiments using domain structures excised from the top server predictions, where the full-length DEMO models showed a significantly improved quality over the original server models. Finally, sparse restraints of mass spectrometry-generated cross-linking data and cryo-EM density maps are incorporated into DEMO, resulting in improvements in the average TM-score by 6.3% and 12.5%, respectively. The results demonstrate an efficient approach to assembling multidomain structures, which can be easily used for automated, genome-scale multidomain protein structure assembly.
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Biggin, Phil C., Tarmo Roosild, and Senyon Choe. "Potassium channel structure: domain by domain." Current Opinion in Structural Biology 10, no. 4 (August 2000): 456–61. http://dx.doi.org/10.1016/s0959-440x(00)00114-7.

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Guardado-Calvo, Pablo, Eva M. Muñoz, Antonio L. Llamas-Saiz, Gavin C. Fox, Richard Kahn, David T. Curiel, Joel N. Glasgow, and Mark J. van Raaij. "Crystallographic Structure of Porcine Adenovirus Type 4 Fiber Head and Galectin Domains." Journal of Virology 84, no. 20 (August 4, 2010): 10558–68. http://dx.doi.org/10.1128/jvi.00997-10.

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ABSTRACT Adenovirus isolate NADC-1, a strain of porcine adenovirus type 4, has a fiber containing an N-terminal virus attachment region, shaft and head domains, and a C-terminal galectin domain connected to the head by an RGD-containing sequence. The crystal structure of the head domain is similar to previously solved adenovirus fiber head domains, but specific residues for binding the coxsackievirus and adenovirus receptor (CAR), CD46, or sialic acid are not conserved. The structure of the galectin domain reveals an interaction interface between its two carbohydrate recognition domains, locating both sugar binding sites face to face. Sequence evidence suggests other tandem-repeat galectins have the same arrangement. We show that the galectin domain binds carbohydrates containing lactose and N-acetyl-lactosamine units, and we present structures of the galectin domain with lactose, N-acetyl-lactosamine, 3-aminopropyl-lacto-N-neotetraose, and 2-aminoethyl-tri(N-acetyl-lactosamine), confirming the domain as a bona fide galectin domain.
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Chzhan, A. V., V. N. Vasiliev, T. N. Isaeva, and G. S. Patrin. "Research of Features Magnetic Permeability and Domain Structures in Fe2O3:GA Crystals near the Morin Transition." Solid State Phenomena 152-153 (April 2009): 29–32. http://dx.doi.org/10.4028/www.scientific.net/ssp.152-153.29.

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Specially picked up web-chamber is used for visualization of domain structure in hematite. An analysis of domain configuration shows, that domain structure of hematite in a basal plane represents multilayered structure which contains domains both in paralleled thickness and in the parallel basal planes. The temperature features of magnetic permeability and domain structures in Fe2O3:Ga crystals near the Morin transition are investigated. Observable changes of magnetic permeability and changes in domain structure confirm that transition from АFM to WFM occurs in the hematite with Ga impurity as transition of the first sort. Results of research of antiferromagnetic and weakly ferromagnetic resonances (AFMR and WFMR) in these compounds are presented.
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Michiue, Yuichi, Akiji Yamamoto, Mitsuko Onoda, Akira Sato, Takaya Akashi, Hisanori Yamane, and Takashi Goto. "Incommensurate crystallographic shear structure of Ba x Bi2 − 2x Ti4 − x O11 − 4x (x = 0.275)." Acta Crystallographica Section B Structural Science 61, no. 2 (March 16, 2005): 145–53. http://dx.doi.org/10.1107/s0108768105001655.

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The title compound generates diffraction patterns which are indexable within the framework of the higher-dimensional description of incommensurate structures. However, it is difficult to discriminate the main reflections from the satellite ones. This paper has clarified that the structure can be treated as a strongly modulated structure with sawtooth-like modulation functions and is classified as an incommensurate crystallographic shear (CS) structure. The structure consists of domains isostructural to β-Bi2Ti4O11 and domain boundaries composed of TiO6 octahedra. Ba and Bi ions are accommodated in the cavities between TiO6 octahedra in the domain. Domain boundaries are aperiodically inserted, in contrast to the usual CS structures, forming an incommensurate structure.
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Shcherbakov, V. P., and S. A. Tarashchan. "Domain structure of titanomagnetite grains with closure domains." Physics of the Earth and Planetary Interiors 65, no. 1-2 (January 1990): 177–87. http://dx.doi.org/10.1016/0031-9201(90)90085-c.

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Tsukahara, S. "Atomic Structure-Sensitive Magnetic Domain Structures of Thin Films." Proceedings, annual meeting, Electron Microscopy Society of America 43 (August 1985): 206–9. http://dx.doi.org/10.1017/s0424820100117960.

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Transmission electron microscopy, TEM, that can serve for observation of both atomic and magnetic structures is useful to investigate structure sensitive magnetic properties. It is most effective when it is applied to thin films for which direct interpretation of the results is possible without considering additional effects through specimen handling for TEM use and modification of dimension dependent magnetic properties.Transmission Lorentz microscopy, TLM, to observe magnetic domains has been known for a quarter century. Among TLM modes the defocused mode has been most popular due to its simple way of operation. Recent development of TEM made it possible that an average instrument commercially available could be easily operated at any TLM modes to produce high quality images. This paper mainly utilizes the Foucault mode to investigate domain walls and magnetization ripples as the finest details of domain structure.
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Dissertations / Theses on the topic "Domain structure"

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Chakroff, Aleksandr. "Discovering Structure in the Moral Domain." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467227.

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Early moral psychologists identified the moral domain with a class of actions that negatively impacted the wellbeing of others or violated their rights. However, anthropological work suggested that this view failed to capture the full extent of the moral domain, which can include victimless actions (e.g., food taboos), especially among socially conservative or non-Western individuals. Which kinds of acts are included in the moral domain? Along which dimensions do the acts differ from one another? Paper 1 utilizes a data-driven approach to mapping the moral domain, revealing a simple two-factor structure that captures variance in moral judgments across individuals, as well as reliable cross-voxel pattern information within individual brains. The remaining papers investigate judgments of agents who perform “harmful” acts (e.g., assault) versus “impure” acts (e.g., incest), which are each representative of the separate factors discovered in Paper 1. In Paper 2, we see an asymmetry in people’s causal attributions for the actions of harmful versus impure agents: impure acts are judged as more internally generated, and less due to the situation, compared to harmful acts. This asymmetry is due to differences in abnormality, a key dimension along which the moral domain may be organized. Paper 3 probes agent evaluations: how are harmful and impure agents expected to act in other contexts? People expect harmful agents to be harmful but not impure. In contrast, people expect impure agents to be both impure and harmful. This effect is connected to a model of the moral domain with a conceptual “core” of dyadic harm, surrounded by a periphery of victimless moral violations. Together, this work highlights a simple structure in the moral domain that can explain moral judgments, causal attributions, action predictions, as well as patterns of activity in the cortex.
Psychology
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Malbec, Aurélien. "Domain formation and evolution in ferroelectric materials." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/15905.

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Siddiqui, Nadeem. "Structure and function of the PABC domain." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102727.

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The poly (A)-binding protein (PABP) is an essential protein found in all eukaryotes and functions in mRNA metabolic and translational processes. Structurally, PABP consists of two distinct regions. The N-terminal half contains four RNA recognition motifs that bind to the poly (A)-tail of mRNA, while the C-terminal segment contains a unique peptide binding module referred to as the PABC domain. The function of this domain in PABP is to recruit proteins containing a very specific 'PAM-2' motif to the mRNP complex. Unique to metazoans, a PABC domain is also found in the hyperplastic discs tumor suppressor (HYD), which is an E3 ubiquitin ligase.
This thesis completes a structural investigation of PABC domains from various species by nuclear magnetic resonance spectroscopy. In particular, we report the solution structure of PABC from the parasite Trypanosoma cruzi and plant Triticum aevestium PABP. Both domains consist of five alpha-helices which fold into a structure highly comparable to the human PABC domain from PABP and HYD. All four PABCs interact with a similar PAM-2 sequence and show comparable peptide binding surfaces. The human PABC-PAM-2 complex structure displays a PAM-2 peptide interacting with specific residues within the domain. Sequence analyses and peptide surface mapping studies show that these residues are highly conserved, which indicates an analogous mechanism of peptide recognition throughout animal, parasite, and plant species. An exception to these observations was found in the PABC domain from Saccharomyces cerevisiae PABP. Yeast PABC recognizes a variation of the typical PAM-2 motif but mediates its interaction through a similar mechanism as human PABC.
The PAM-2 motif encloses a signature sequence which was used to successfully identify new interacting partners for the PABC domain via a bioinformatics screen. In mammalian systems, the identified proteins are implicated in either RNA metabolic, translational, or ubiquitin associated functions. This thesis concludes with a model illustrating a unique cross-talk between major gene expression pathways mediated by the PABC domain and its binding partners.
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McCabe, Veronica Mary. "Domain structure of the mouse Xist gene." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286333.

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de, Bono S. "Structure of an artificial chimaeric protein domain." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598444.

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This work describes the structure of an artificial chimaeric protein, 1B11, generated by non-homogeneous recombination between a defined gene fragment coding for the N-terminal half of E. coli cold shock protein (CspA), and a randomly selected C-terminal portion. The N-terminal segment of 1B11 consists of the first 36 residues of CspA, which forms three antiparallel beta strands. The termination point of this structural entity corresponds to a well conserved exon boundary in eukaryotic homologs of CspA. The C-terminal segment of 1B11 is derived fro the first 34 residues of the E. coli 30S ribosomal S1 domain. Both CspA and the S1 domain are monomeric globular proteins and have a five stranded beta barrel topology. 1B11 not only is tetrameric, but also has a different architecture, composed of a six-stranded beta barrel in which two strands are domain swapped. The individual segments taken from the original structures, have, however, retained much the same topology. The overall OB-fold topology is well maintained, with the first three strands of 1B11 being superimposable with those of CspA. Two strands from the C-terminal half of 1B11 have come to occupy spatially similar positions to the fourth and fifth strand of CspA. Also, hydrophobic residues in the 1B11 barrel core recapitulate barrel packing in the original structure. The sixth strand of 1B11 has been accommodated at the periphery of the barrel, such that a number of hydrophobic residues are solvent exposed. Oligomerisation in the form of tetramer formation and domain swapping allows stabilization of the structure by burying those hydrophobic residues. A combination of two non-contiguous subdomain elements has given rise to a folded domain with novel architecture and composition. This is consistent with the creation of domains by exon shuffling early on in evolution.
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Xu, Wenjing. "Crystal structure of paired domain--DNA complex." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/32666.

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Bensaibi, Mahmoud. "Identification de la fonction de transfert d'une structure ou d'une sous-structure par méthodes fréquentielles et temporelles." Châtenay-Malabry, Ecole centrale de Paris, 1996. http://www.theses.fr/1996ECAP0468.

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Le présent mémoire comporte deux parties. La première partie approfondit la méthode d'identification ARMA appliquée aux structures. Une connaissance approfondie de cette technique est nécessaire si l'on veut être capable de régénérer de manière précise à partir d'une identification, les fonctions de transfert données par un analyseur. Pour cette raison nous avons mené une étude dans le domaine fréquentiel, afin d'avoir des élements de comparaison et une étude dans le domaine temporel, qui a nécessité des développements concernant la méthode ARMA. Un exemple expérimental a éte teste pour valider les techniques proposees dans les deux domaines temporel et frequentiel. En deuxieme partie, on a developpe tant en fréquentiel qu'en temporel une méthode d'identification de sous-structures in situ. Cette identification s'oppose au problème bien connu de synthèse modale. Au contraire de celle-ci, qui a pour but de reconstruire le comportement globale de la structure à partir de ses sous-structures, on cherche à partir du comportement global d'une structure, à identifier les caractéristiques dynamiques d'une sous-structure appartenant à cette structure totale. C'est donc un problème d'identification locale. Cette étude ayant pour objet une analyse expérimentale, le bruit de mesure est pris en considération. Des exemples numériques ont été présentés et ont montrés qu'on obtenait de bon resultats jusqu'à un niveau de bruit de 5% dans le domaine temporel et 2% dans le domaine frequentiel. Enfin, une validation expérimentale a été réalisée dont le but principal est de montrer l'efficacité de l'algorithme sur un cas réel. La régéneration de la fonction de transfert de la sous-structure à partir des paramètres identifiées est abordée également
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Hayashi, Masaki. "Studies of time-evolution of domain structure and domain interface structure in phase-separation process of two-component polymer systems." 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/148838.

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Ramesh, Mahadevan. "Coupled oscillations of the magnetic domain-domain wall system in substituted garnet thin films /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487262513407393.

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Borcherds, Wade Michael. "Structure, Dynamics, and Evolution of the Intrinsically Disordered p53 Transactivation Domain." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4640.

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in numerous disease states, including cancers and neurodegenerative diseases. All proteins are dynamic in nature, occupying a range of conformational flexibilities. This inherent flexibility is required for their function, with ordered proteins and IDPs representing the least flexible, and most flexible, respectively. As such IDPs possess little to no stable tertiary or secondary structure, they instead form broad ensembles of heterogeneous structures, which fluctuate over multiple time scales. Although IDPs often lack stable secondary structure they can assume a more stable structure in the presence of their binding partners in a coupled folding binding reaction. The phenomenon of the dynamic behavior of IDPs is believed to confer several functional advantages but remains poorly understood. To that end the dynamic and structural properties of a family of IDPs - p53 transactivation domains (TAD) was measured and compared with the sequence divergence. Interestingly we were able to find stronger correlations between the dynamic properties and the sequence divergence than between the structure and sequence, suggesting that the dynamic properties are the primary trait being xiii conserved by evolution. These correlations were strongest within clusters of the IDPs that correlated with known protein binding sites. Additionally, we show strong correlations between the several available disorder predictors and the backbone dynamics of this family of IDPs. This indicates the potential of predicting the dynamic behavior of proteins, which may be beneficial in future drug design. The limited number of atomic models currently determined for IDPs hampers understanding of how their amino acid sequences dictate the structural ensembles they adopt. The current dearth of atomic models for IDPs makes it difficult to test the following hypotheses: 1. The structural ensembles of IDPs are dictated by local interactions. 2. The structural ensembles of IDPs will be similar above a certain sequence identity threshold. Based on the premise that sequence determines structure, structural ensembles were determined and compared for a set of homologous IDPs. Utilizing orthologues allows for the identification of important structural features and behaviors by virtue of their conservation. A new methodology of creating ensembles was implemented that broadly samples conformational space. This allowed us to find recurring local structural features within the structural ensembles even between the more distantly related homologues that were processed. This method of ensemble creation is also the first method to show convergence of secondary structural characteristics between discrete ensembles.
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Books on the topic "Domain structure"

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Wolf, John P. Soil-structure-interaction analysis in time domain. Englewood Cliffs, N.J: Prentice Hall, 1988.

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Barʹi͡akhtar, Viktor Grigorʹevich. V mire magnitnykh domenov. Kiev: Nauk. dumka, 1986.

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Golla, David Frank. Dynamics of viscoelastic structures: A time-domain finite element formulation. [Downsview, Ont.]: Institute for Aerospace Studies, 1986.

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Barʹi͡akhtar, Viktor Grigorʹevich. T͡Silindricheskie magnitnye domeny i ikh reshetki. Kiev: Nauk. dumka, 1988.

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Fesenko, E. G. Domennai͡a︡ struktura mnogoosnykh segnetoėlektricheskikh kristallov. Rostov-na-Donu: Izd-vo Rostovskogo universiteta, 1990.

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Vlasko-Vlasov, V. K. Koėrt͡sitivnostʹ domennykh granit͡s v peremennom magnitnom pole. Chernogolovka: IKhFCh AN SSSR, 1992.

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Li, Karpra G. P. A structure-function analysis of the smaug RNA-binding domain. Ottawa: National Library of Canada, 2003.

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Kozarova, Anna. Structure-function studies between the regulatory domain of human PKCa [alpha] and the PKCa [alpha] catalytic domain. Sudbury, Ont: Laurentian University, School of Graduate Studies, 2004.

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Vlasko-Vlasov, V. K. Kolebanii͡a monopoli͡arnykh domennykh stenok v pole ulʹtrazvukovoĭ volny. Chernogolovka: IKhFCh AN SSSR, 1992.

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Singer, Alex Uriel. Solution structure and electrostatic properties of an SH2 domain/phosphopeptide complex. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1998.

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Book chapters on the topic "Domain structure"

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Cuff, Alison, and Christine Orengo. "Domain Structure Classifications." In Encyclopedia of Biophysics, 489–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_414.

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Waman, Vaishali P., Alison Cuff, and Christine Orengo. "Domain Structure Classifications." In Encyclopedia of Biophysics, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-642-35943-9_414-1.

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Barker, Winona C., Friedhelm Pfeiffer, and David G. George. "Superfamily and Domain." In Methods in Protein Structure Analysis, 473–81. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1031-8_43.

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Vandergon, Thomas L. "Protein Domain Structure Evolution." In Molecular Life Sciences, 1–7. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6436-5_19-2.

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Strukov, Boris A., and Arkadi P. Levanyuk. "Domain Structure and Defects." In Ferroelectric Phenomena in Crystals, 193–226. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-60293-1_10.

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Vandergon, Thomas L. "Protein Domain Structure Evolution." In Molecular Life Sciences, 1000–1006. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-1531-2_19.

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Edgar, Matthew. "URL and Domain Structure." In Tech SEO Guide, 23–42. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9054-5_2.

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Pappelis, Aristotel, and Sidney W. Fox. "Domain Protolife." In Chemical Evolution: Structure and Model of the First Cell, 129–32. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0105-9_14.

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Moss, David, Andrej Šali, Christine Slingsby, Alan Simpson, and Andreas Wostrack. "Domain Motions in Protein Crystals." In Protein Structure — Function Relationship, 157–65. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0359-6_16.

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Chen, Si-Wei. "Polarimetric Rotation Domain Structure Recognition." In Imaging Radar Polarimetric Rotation Domain Interpretation, 211–37. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003461296-6.

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Conference papers on the topic "Domain structure"

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Eichinger, Markus, Maik Maurer, Udo Pulm, and Udo Lindemann. "Extending Design Structure Matrices and Domain Mapping Matrices by Multiple Design Structure Matrices." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95266.

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Design Structure Matrices (DSMs) and Domain Mapping Matrices (DMMs) are generally used by designers for dynamic optimization of engineering design processes and products. Both methodologies help producing valuable results; however, they are lacking a holistic view onto the processes and products. Dependencies that span multiple product development domains can therefore not be recognized with isolated DSM or DMM analysis. In this paper, we present an integrative approach that combines DSMs and DMMs to obtain the Multiple Design Structure Matrix (MDSM). This methodology offers the possibility to analyze multiple product development domains using one coherent matrix representation form. A holistic perspective helps the designer to identify domain-spanning structures that would not have been recognized with single-domain optimization approaches or isolated analysis of the DSMs and DMMs. Domain-spanning structures are important to identify, as they may cause unpredictable product or process behavior. Our research showed that a holistic perspective can help designers to identify important elements more easily and therefore save time and enhance quality in analysis of engineering systems design. The framework we present consists of a proposal for the selection of appropriate product development domains, their integration, and the derivation of analysis results.
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Akers, James, and Dennis Bernstein. "An adaptive Toeplitz/ERA time-domain identification algorithm." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1435.

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Liu, Tongliang, Qiang Yang, and Dacheng Tao. "Understanding How Feature Structure Transfers in Transfer Learning." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/329.

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Transfer learning transfers knowledge across domains to improve the learning performance. Since feature structures generally represent the common knowledge across different domains, they can be transferred successfully even though the labeling functions across domains differ arbitrarily. However, theoretical justification for this success has remained elusive. In this paper, motivated by self-taught learning, we regard a set of bases as a feature structure of a domain if the bases can (approximately) reconstruct any observation in this domain. We propose a general analysis scheme to theoretically justify that if the source and target domains share similar feature structures, the source domain feature structure is transferable to the target domain, regardless of the change of the labeling functions across domains. The transferred structure is interpreted to function as a regularization matrix which benefits the learning process of the target domain task. We prove that such transfer enables the corresponding learning algorithms to be uniformly stable. Specifically, we illustrate the existence of feature structure transfer in two well-known transfer learning settings: domain adaptation and learning to learn.
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Zhang, Fa, Zhaoyun Ma, Zhiyong Liu, and Bo Yuan. "Using Domain-Based Structural Ensemble to Improve Structure Modeling." In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375657.

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Enelund, Mikael, and B. Josefson. "Time domain FE-analysis of viscoelastic structures having constitutive relations involving fractional derivatives." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1394.

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Korde, Vivek B., Naresh Patil, Debabrata Dey, and Vivek Gawali. "Domain engineering of domain structure in doped KNbO3 single crystal." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2022 (MATHTECH 2022): Navigating the Everchanging Norm with Mathematics and Technology. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0182004.

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Xia, Haifeng, and Zhengming Ding. "Structure Preserving Generative Cross-Domain Learning." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00442.

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Machado, Marcos, and Carlos Cunha*. "Structure-oriented Filter by Domain Decomposition." In 14th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 3-6 August 2015. Brazilian Geophysical Society, 2015. http://dx.doi.org/10.1190/sbgf2015-255.

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Liu, Hongfu, Ming Shao, and Yun Fu. "Structure-Preserved Multi-source Domain Adaptation." In 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE, 2016. http://dx.doi.org/10.1109/icdm.2016.0136.

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Zhang, Jiang-Hong, Ying-Hui Liu, and Yun Ling. "Orthonormal Ladder Structure Log-Domain Filter." In 2009 Second International Conference on Information and Computing Science. IEEE, 2009. http://dx.doi.org/10.1109/icic.2009.320.

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Reports on the topic "Domain structure"

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Postel, J. Domain Name System Structure and Delegation. RFC Editor, March 1994. http://dx.doi.org/10.17487/rfc1591.

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Landis, Chad M. Computational Model for Domain Structure Evolution in Ferroelectrics. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada575644.

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Aghazadeh, Behzad, and Michael K. Rosen. Structure Elucidation of the Rho-GTPhase Activating DH-Homology Domain. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada393361.

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Lutz, Carsten. Interval-based Temporal Reasoning with General TBoxes. Aachen University of Technology, 2000. http://dx.doi.org/10.25368/2022.109.

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Aus der Motivation: Description Logics (DLs) are a family of formalisms well-suited for the representation of and reasoning about knowledge. Whereas most Description Logics represent only static aspects of the application domain, recent research resulted in the exploration of various Description Logics that allow to, additionally, represent temporal information, see [4] for an overview. The approaches to integrate time differ in at least two important aspects: First, the basic temporal entity may be a time point or a time interval. Second, the temporal structure may be part of the semantics (yielding a multi-dimensional semantics) or it may be integrated as a so-called concrete domain. Examples for multi-dimensional point-based logics can be find in, e.g., [21;29], while multi-dimensional interval-based logics are used in, e.g., [23;2]. The concrete domain approach needs some more explanation. Concrete domains have been proposed by Baader and Hanschke as an extension of Description Logics that allows reasoning about 'concrete qualities' of the entities of the application domain such as sizes, length, or weights of real-worlds objects [5]. Description Logics with concrete domains do usually not use a fixed concrete domain; instead the concrete domain can be thought of as a parameter to the logic. As was first described in [16], if a 'temporal' concrete domain is employed, then concrete domains may be point-based, interval-based, or both.
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Torres, Marissa, Michael-Angelo Lam, and Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45641.

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This technical note describes the physical and numerical considerations for developing an idealized numerical wave-structure interaction modeling study using the fully nonlinear, phase-resolving Boussinesq-type wave model, FUNWAVE-TVD (Shi et al. 2012). The focus of the study is on the range of validity of input wave characteristics and the appropriate numerical domain properties when inserting partially submerged, impermeable (i.e., fully reflective) coastal structures in the domain. These structures include typical designs for breakwaters, groins, jetties, dikes, and levees. In addition to presenting general numerical modeling best practices for FUNWAVE-TVD, the influence of nonlinear wave-wave interactions on regular wave propagation in the numerical domain is discussed. The scope of coastal structures considered in this document is restricted to a single partially submerged, impermeable breakwater, but the setup and the results can be extended to other similar structures without a loss of generality. The intended audience for these materials is novice to intermediate users of the FUNWAVE-TVD wave model, specifically those seeking to implement coastal structures in a numerical domain or to investigate basic wave-structure interaction responses in a surrogate model prior to considering a full-fledged 3-D Navier-Stokes Computational Fluid Dynamics (CFD) model. From this document, users will gain a fundamental understanding of practical modeling guidelines that will flatten the learning curve of the model and enhance the final product of a wave modeling study. Providing coastal planners and engineers with ease of model access and usability guidance will facilitate rapid screening of design alternatives for efficient and effective decision-making under environmental uncertainty.
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Yi, Ping. Structure of the Estrogen Receptor Dimerization Domain Bound to an Antiestrogenic Phosphotyrosyl Peptide. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada396623.

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Spears, Robert Edward, and Justin Leigh Coleman. Nonlinear Time Domain Seismic Soil-Structure Interaction (SSI) Deep Soil Site Methodology Development. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1371516.

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Yi, Ping. Structure of the Estrogen Receptor Dimerization Domain Bound to an Antiestrogenic Phosphotyrosyl Peptide. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada392784.

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Krause, Thomas, Mehrdad Keshefi, Ross Underhill, and Lynann Clapham. PR652-203801-R02 Magnetic Object Model for Large Standoff Magnetometry Measurement. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2021. http://dx.doi.org/10.55274/r0012151.

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Ferromagnetic pipeline steel may exhibit magnetization, even in the absence of applied magnetic fields, due to remnant fields or the presence of pipe wall stress. Remnant magnetization may be present from previous or existing exposure to a magnetic field, while pipe wall stress induced magnetization can result from line pressure, environmental stresses due to settling or geohazard conditions, and residual stresses due to nonuniform plastic deformation caused by manufacturing processes, installation or operating conditions. The local stress state of the pipeline may also be altered by corrosion or damage. The physical basis for magnetization in pipelines due to intrinsic and resident stresses is examined here using the magnetic object (MO) model. MOs are characterized as regions of relatively independent magnetic behaviour, typically about the size of a ferromagnetic steel grain, to which expressions for the magnetic energy of local domain structures can be applied. The lowest energy state for an MO is a flux-closed structure, but the presence of stress can modify the MO energy through inverse magnetostrictive effects on the domain structure and thereby, produce a state of magnetization. This magnetization may be altered by the introduction of additional stress sources including pressurization of the pipe, geological-environment effects, sources of magnetization that include the proximity of other ferromagnetic pipes, even those comprising sections of the same pipeline, and changes in the pipe structure that may be brought about by deformation, corrosion or cracking. This work shows that the fundamental building block of the MO, combined with considerations of overall changes in domain structure due to these factors, can be used to model the generation of magnetic fields measured outside of pipeline structures. This will have implications for understanding sources of pipeline magnetization that are passively measured above buried oil and gas pipelines with the objective of detecting anomalous conditions that may indicate compromised conditions for safe pipeline operation.
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Wodicka, N., H. M. Steenkamp, T. Peterson, I. Therriault, J. B. Whalen, V. Tschirhart, C. J. M. Lawley, et al. An overview of Archean and Proterozoic history of the Tehery Lake-Wager Bay area, central Rae Craton, Nunavut. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332501.

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This short contribution describes the Archean and Proterozoic history of the central Rae Craton in the Tehery Lake-Wager Bay area, Nunavut. The study area comprises six lithotectonic domains separated by large-scale structures: the Gordon Domain, Lunan Domain, Daly Bay complex, Douglas Harbour Domain, Kummel Lake Domain, and Ukkusiksalik Domain. These domains can be differentiated on the basis of metamorphic assemblages, Nd model and U-Pb ages, absence or presence of specific lithologies, and/or geophysical characteristics. Links between these domains and neighbouring areas of the central Rae Craton, the timing of assembly of domains and terranes, and the effects of the Snowbird and Trans-Hudson orogenies are briefly described.
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