Relevant bibliographies by topics / Multidomän

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

Academic literature on the topic 'Multidomän'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Multidomän"

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Vázquez-Gómez, José. "Multidomain security." Computers & Security 13, no. 2 (April 1994): 161–84. http://dx.doi.org/10.1016/0167-4048(94)90065-5.

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Hertig, Samuel, Thomas D. Goddard, Graham T. Johnson, and Thomas E. Ferrin. "Multidomain Assembler (MDA) Generates Models of Large Multidomain Proteins." Biophysical Journal 108, no. 9 (May 2015): 2097–102. http://dx.doi.org/10.1016/j.bpj.2015.03.051.

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Mező, András. "Multidomén műveletek vezetése és irányítása." Hadtudomány 31, no. 1 (2021): 3–21. http://dx.doi.org/10.17047/hadtud.2021.31.1.3.

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Adjeroh, Donald, Yue Jiang, Bing-Hua Jiang, and Jie Lin. "Network Analysis of Circular Permutations in Multidomain Proteins Reveals Functional Linkages for Uncharacterized Proteins." Cancer Informatics 13s5 (January 2014): CIN.S14059. http://dx.doi.org/10.4137/cin.s14059.

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Various studies have implicated different multidomain proteins in cancer. However, there has been little or no detailed study on the role of circular multidomain proteins in the general problem of cancer or on specific cancer types. This work represents an initial attempt at investigating the potential for predicting linkages between known cancer-associated proteins with uncharacterized or hypothetical multidomain proteins, based primarily on circular permutation (CP) relationships. First, we propose an efficient algorithm for rapid identification of both exact and approximate CPs in multidomain proteins. Using the circular relations identified, we construct networks between multidomain proteins, based on which we perform functional annotation of multidomain proteins. We then extend the method to construct subnetworks for selected cancer subtypes, and performed prediction of potential linkages between uncharacterized multidomain proteins and the selected cancer types. We include practical results showing the performance of the proposed methods.
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Klymko, Victor, Andriy Nadtochiy, David Sedorook, and Igor Ostrovskii. "Multidomain ferroelectric actuator." Journal of the Acoustical Society of America 128, no. 4 (October 2010): 2339. http://dx.doi.org/10.1121/1.3508279.

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Hegedűs, Ernő, and Sándor Hennel. "Többdimenziós (multidomain) hadműveletek." Hadtudomány 30, no. 2 (2020): 3–27. http://dx.doi.org/10.17047/hadtud.2020.30.2.3.

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Tsay, Jenngang, S. E. Schwarz, Shankar Raman, and J. S. Smith. "Multidomain gunn diodes." Microwave and Optical Technology Letters 3, no. 2 (February 1990): 54–60. http://dx.doi.org/10.1002/mop.4650030205.

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Ostrovskii, Igor, and Andriy Nadtochiy. "Multidomain ultrasonic transducers." Journal of Applied Physics 103, no. 10 (May 15, 2008): 104107. http://dx.doi.org/10.1063/1.2931028.

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Robinson, Cordelia C., Janet Rose, and Barbara Jackson. "Multidomain Assessment Instruments." Diagnostique 11, no. 3-4 (July 1986): 135–53. http://dx.doi.org/10.1177/073724778601100302.

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Xu, Teng, Qinxiang Xia, Xiaoyu Wu, Jiaqi Ran, Feng Gong, and Chunying Lee. "Influence of Hydraulic Domain on Vibration Control and Overload Prediction of High-Speed Punching Press: Multidomain Modelling and Experiment." Shock and Vibration 2019 (September 19, 2019): 1–9. http://dx.doi.org/10.1155/2019/8547104.

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By the multidomain modelling method, the vibration of a high-speed punching press was modelled and simulated, and the influence of the hydraulic system on the vibration of the punching press and the protection efficiency of the punching press under the overload condition was discussed. The multidomain simulation results were compared with the experimental results to the validity of the multidomain model on a punching press with a hydraulic system for vibration reduction function.
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Dissertations / Theses on the topic "Multidomän"

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Oldelius, David, and Douglas Pham. "Master Data Management-studie om nästa entiteto och leverantör för Scania." Thesis, KTH, Hälsoinformatik och logistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230108.

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Stora företag har olika avdelningar där informationen från dessa måste hanteras. Master Data Management(MDM) är ett informationshanteringssystem för att hantera information från olika källor. En MDM-implementation sker med en entitet i taget. Arbetets problemställning är att rekommendera nästa entitet att inkludera i MDM-implementationen hos Scania samt vilken leverantör som passar till implementationen. En rekommendation av entitet framställs av material från Scania och intervjuer med anställda på Scania. Rekommendationen av leverantör framställs från material från leverantörer och intervjuer med leverantörerna. Entiteten som rekommenderas är produkt som individ för att informationen i området har behov av förbättrad hantering och entiteten är nära kärnverksamheten. Orchestra Networks är leverantören som rekommenderas för att de ligger i framkant inom MDM, de är nischade mot området och är starka inom produktinformation.
Enterprises has different departments and the information from them needs management. Master Data Management(MDM) is an information handling system for handling information from different sources.  One entity at the time is implemented to MDM. The work's problem is to recommend the next entity to include in the MDM implementation at Scania as well as which provider fits the implementation. A recommendation of entity is prepared from materials provided by Scania and interviews with employees at Scania. A recommendation of provider is prepared from materials from the providers and interviews with the providers. The recommended entity is product as individual because information in the area needs improved management. Orchestra Networks is the recommended supplier because they are a leader among the MDM providers, they are specialised in the area and they are strong in the product information area.
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Stolzer, Maureen. "Phylogenetic Inference for Multidomain Proteins." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/47.

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In this thesis, I present a model of multidomain evolution with associated algorithms and software for phylogenetic analysis of multidomain families, as well as applications of this novel methodology to case-studies and the human genome. Phylogenetic analysis is of central importance to understanding the origins and evolution of life on earth. In biomedical research, molecular phylogenetics has proved an essential tool for practical applications. Current molecular phylogenetic methods are not equipped, however, to model many of the unique characteristics of multidomain families. Genes that encode this large and important class of proteins are characterized by a mosaic of sequence fragments that encode structural or functional modules, called domains. Multidomain families evolve via domain shuffling, a process that includes insertion, internal duplication, and deletion of domains. This versatile evolutionary mechanism played a transformative role in major evolutionary transitions, including the emergence of multicellular animals and the vertebrate immune system. Multidomain families are ill-suited to current methods for phylogeny reconstruction due to their mosaic composition. Different regions of the same protein may have different evolutionary histories. Moreover, a protein may contain domains that also occur in otherwise unrelated proteins. These attributes pose substantial obstacles for phylogenetic methods that require a multiple sequence alignment as input. In addition, current methods do not incorporate a model of domain shuffling and hence, cannot infer the events that occurred in the history of the family. I address this problem by treating a multidomain family as a set of co-evolving domains, each with its own history. If the family is evolving by vertical descent from a conserved set of ancestral domains, then all constituent domains will have the same phylogenetic history. Disagreement between domain tree topologies is evidence that the family evolved through processes other than speciation and gene duplication. My algorithms exploit this information to reconstruct the history of domain shuffling in the family, as well as the timing of these events and the ancestral domain composition. I have implemented these algorithms in software that outputs the most parsimonious history of events for each domain family. The software also reconstructs a composite family history, including duplications, insertions and losses of all constituent domains and ancestral domain composition. My approach is capable of more detailed and accurate reconstructions than the widely used domain architecture model, which ignores sequence variation between domain instances. In contrast, my approach is based on an explicit model of events and captures sequence variation between domain instances. I demonstrate the utility of this method through case studies of notch-related proteins, protein tyrosine kinases, and membrane-associated guanylate kinases. I further present a largescale analysis of domain shuffling processes through comparison of all pairs of domain families that co-occur in a protein in the human genome. These analyses suggest that (1) a remarkably greater amount of domain shuffling may have occurred than previously thought and (2) that it is not uncommon for the same domain architecture to arise more than once through independent events. This stands in contrast to earlier reports that convergent evolution of domain architecture is rare and suggests that incorporating sequence variation in evolutionary analyses of multidomain families is a crucial requirement for accurate inference.
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Scott, Kathryn Anne. "Biophysical studies of multidomain proteins." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.616134.

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Apic, Gordana. "Evolution of multidomain proteins in genomes." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619919.

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Stanescu, Dan. "A multidomain spectral method for computational aeroacoustics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0002/NQ39028.pdf.

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Muxworthy, Adrian R. "Stability of magnetic remanence in multidomain magnetite." Thesis, University of Oxford, 1998. http://ora.ox.ac.uk/objects/uuid:bc70e665-4c54-4ab5-98fa-d43ccecd07a1.

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If a rock is to retain a geologically meaningful magnetic record of its history, it is essential that it contains magnetic minerals which are capable of carrying stable magnetic remanence. Of the natural occurring magnetic minerals, magnetite is the most important because of its abundance and strong magnetic signature. The stability, i.e., the resistance to demagnetisation or reorientation, of magnetic remanence is related to grain size; in smaller grains the magnetic moments align to have single domain (SD) structures, in larger grains complex magnetic patterns are formed (multidomain (MD)). “Classical” domain theory predicts that SD remanence is stable, whilst MD remanence is not. However experimental evidence has shown that both SD and MD grains can have stable remanences. In this thesis the origin of stable MD remanence is examined. There are two opposing theories; one suggests that the stability is due to independent SD-like structures, the other postulates that the stability is due to metastable MD structure. A series of experiments were designed to examine the stability using a selection of characterised synthetic and natural samples. Low-stress hydrothermal recrystallised samples where grown for this study. For the first time, the stability of thermoremanence induced in hydrothermal crystals to cooling was examined. The results agree with previous observations for crushed and natural magnetites, and support kinematic models. The behaviour of SIRM and thermoremanences in MD magnetite to low-temperature cooling to below the crystallographic Verwey transition at 120-124 K (Tv) and the cubic magnetocrystalline anisotropy isotropic point (Tk) at 130 K was investigated. On cooling through Tv, SIRM was observed to decrease and demagnetise, however thermoremanence was found to display a large increase in the magnetisation at Tv, which was partially re- versible on warming. The size of the anomaly is shown to be dependent on the temperature at which the thermoremanence is acquired, internal stress and grain size. The anomaly is attributed to the large increase in the magnetocrystalline anisotropy which occurs on cooling through Tv . It is postulated that low-temperature cycling demagnetisation is due to kinematic processes which occur on cooling between room temperature and Tk. Characterisation of low-temperature treated remanence and partially alternating field demagnetised remanence, suggest that the stable remanence is multidomain. Low-temperature cooling of remanence in single sub-micron crystals was simulated using micromagnetic models. The models predict the observed anomaly for thermoremanence on cooling through Tv, and also the relative behaviour of SIRM and thermoremanence. The single domain threshold was calculated for the low-temperature phase of magnetite, and was found to be 0.14 microns, compared to 0.07 microns at room temperature.
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Rasheed, Mohsin. "Identity Federation Using Multidomain Authentication in PKI." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177366.

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Today’s enterprises are facing some basic business challenges for which identity federation solutions are uniquely suited. Most online applications and ecommerce incorporate partner integration that provides to the user secure access to the partner’s site without needing to sign-on again. Additionally, organizations must provide these SSO services without having to add large numbers of users to an enterprise directory or having to manage those identities over time. A trust mechanism must exist in order to allow users who are authenticated in one domain to be trusted in a another domain. Finally, these technical challenges must be managed within the constraints of existing business and legal agreements that define thresholds for acceptable use, risk and indemnification. [14] The purpose of this thesis is to model a framework and to suggest the requirements needed of the Public Key Infrastructure for the multiple domain interoperability. This model describes the relationship between certificate authorities for establishing the trust mechanism through the techniques which are described in details of the design model description.
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Sasai, Masaki, and Kazuhito Itoh. "Cooperativity, connectivity, and folding pathways of multidomain proteins." National Academy of Sciences, 2008. http://hdl.handle.net/2237/20615.

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Chamberlain, Dean. "Expression and structural studies of multidomain proteins and complexes." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314366.

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Aslam, Mohammed. "Structural studies of SCR domains in multidomain complement proteins." Thesis, University College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404316.

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Books on the topic "Multidomän"

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Landriani, G. Sacchi. A multidomain spectral collocation method for the Stokes problem. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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Landriani, G. Sacchi. A multidomain spectral collocation method for the Stokes problem. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1989.

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Landriani, G. Sacchi. A multidomain spectral collocation method for the Stokes problem. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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Kopriva, David A. A conservative staggered-grid Chebyshev multidomain method for compressible flows. Hampton, Va: Langley Research Center, 1995.

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Kopriva, David A. Spectral solution of the viscous blunt body problem. II: Multidomain approximation. Hampton, Va: Langley Research Center, 1994.

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Kopriva, David A. A conservative staggered-grid Chebyshev multidomain method for compressible flows. II: A semi-structured method. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1996.

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Unesco Workshop on Structure and Function of Proteins (1984 Budapest, Hungary). Multidomain proteins: Proceedings of the Unesco Workshop on Structure and Function of Proteins, Budapest, September 13-15, 1984. Budapest: Akadémiai Kiadó, 1986.

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G, Hardie D., and Coggins J. R, eds. Multidomain proteins: Structure andevolution. Oxford: Elsevier, 1986.

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G, Hardie D., and Coggins J. R, eds. Multidomain proteins: Structure and evolution. Amsterdam: Elsevier, 1986.

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Aligning Roles and Missions for Future Multidomain Warfare. RAND Corporation, 2021. http://dx.doi.org/10.7249/rr-a160-1.

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Book chapters on the topic "Multidomän"

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Weik, Martin H. "multidomain network." In Computer Science and Communications Dictionary, 1052. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11875.

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Coupez, Thierry, Hugues Digonnet, Elie Hachem, Patrice Laure, Luisa Silva, and Rudy Valette. "Multidomain Finite Element Computations." In Arbitrary Lagrangian-Eulerian and Fluid-Structure Interaction, 221–90. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557884.ch5.

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Frattolillo, Franco, and Salvatore D’Onofrio. "Exploiting Multidomain Non Routable Networks." In Parallel and Distributed Processing and Applications, 696–709. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11946441_64.

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Hawkins, Alastair R., and Heather K. Lamb. "The molecular biology of multidomain proteins." In EJB Reviews, 245–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-85252-7_17.

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Hwang, Peter, Dawid Kurzyniec, and Vaidy Sunderam. "Heterogeneous Parallel Computing Across Multidomain Clusters." In Recent Advances in Parallel Virtual Machine and Message Passing Interface, 337–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30218-6_47.

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Xue, Jing, David S. Burz, and Alexander Shekhtman. "Segmental Labeling to Study Multidomain Proteins." In Advances in Experimental Medicine and Biology, 17–33. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4954-2_2.

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Frattolillo, Franco. "Running PVM Applications on Multidomain Clusters." In Recent Advances in Parallel Virtual Machine and Message Passing Interface, 166–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846802_28.

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Pathak, Samridhi, Ricka Gauba, Sarath Chandra Dantu, Dhriti Sheth, and Avinash Kale. "Formin: The Multidomain Elongator of Actin Polymer." In Actin Polymerization in Apicomplexan, 29–38. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7450-0_3.

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Gastaldi, Fabio. "A Multidomain Decomposition for the Transport Equation." In Variational and Free Boundary Problems, 87–109. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-8357-4_7.

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Petrone, Mario, and Roberto Zarrelli. "Utilizing PVM in a Multidomain Clusters Environment." In Recent Advances in Parallel Virtual Machine and Message Passing Interface, 241–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11557265_33.

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Conference papers on the topic "Multidomän"

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Vázquez-Gómez, José de J. "Modelling multidomain security." In Proceedings on the 1992-1993 workshop. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/283751.283842.

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Guo, Jianxin, Sheng Li Wu, Zhenjun Ma, and Xinmin Huang. "Multidomain STN LCDs." In Liquid Crystals, edited by Jolanta Rutkowska, Stanislaw J. Klosowicz, Jerzy Zielinski, and Jozef Zmija. SPIE, 1998. http://dx.doi.org/10.1117/12.300036.

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Pollehn, Herbert K., and Jack S. Ahearn. "Multidomain smart sensors." In AeroSense '99, edited by Bjorn F. Andresen and Marija Strojnik. SPIE, 1999. http://dx.doi.org/10.1117/12.354544.

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Li, Bingcheng. "Network dynamics based multidomain sensor data processing and fusion for multidomain operations." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, edited by Tien Pham, Latasha Solomon, and Katie Rainey. SPIE, 2020. http://dx.doi.org/10.1117/12.2559990.

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Kochan, Matthew J., and Timothy A. Farrell. "Multidomain operations science and technology." In Defense and Security, edited by Dawn A. Trevisani and Alex F. Sisti. SPIE, 2004. http://dx.doi.org/10.1117/12.548264.

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Pickavet, Mario, Pieter Audenaert, Jeroen Vanhaverbeke, Dimitri Staessens, Didier Colle, and Piet Demeester. "Optimizing Reliable Multidomain Optical Routing." In Proceedings of 2006 8th International Conference on Transparent Optical Networks. IEEE, 2006. http://dx.doi.org/10.1109/icton.2006.248385.

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Jelen, Jaroslaw A., and Hossein Golshan. "Determination of Pipe Roughness and Heat Transfer Coefficient in Pipeline Networks Using Multidomain Solution Method." In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-166.

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The multidomain model, which has already been developed for the simulation of large networks, is being used to determine the surface roughness and heat transfer coefficient for two parts of the TransCanada system.
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Sorokin, A. A., I. M. Smurov, and D. P. Kirianov. "TAGGING AND PARSING OF MULTIDOMAIN COLLECTIONS." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-670-683.

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In this paper we describe our submission to GramEval2020 competition on morphological tagging, lemmatization and dependency parsing. Our model uses biaffine attention over the BERT representations. The main feature of our work is the extensive usage of language model, tagger and parser fine-tuning on several distinct genres and the implementation of genre classifier. To deal with dataset idiosyncrasies we also extensively apply handwritten rules. Our model took second place in the overall model performance scoring 90.8 aggregate measure over all 4 tasks
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Kadambari, Sai Kiran, and Sundeep Prabhakar Chepuri. "Learning Product Graphs from Multidomain Signals." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054679.

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Garberoglio, Leonardo, Patricio Moreno, Ignacio Mas, and Juan I. Giribet. "Autonomous Vehicles for Outdoor Multidomain Mapping." In 2018 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, 2018. http://dx.doi.org/10.1109/argencon.2018.8646054.

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Reports on the topic "Multidomän"

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Nielsen, Steen A., and Jan S. Hesthaven. A Multidomain Pseudospectral Formulation for the Simulation of Elastic Wave Scattering. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada462237.

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Greene, Geoffrey. Multidomain Assembly of Nuclear Estrogen Receptors: Structural Insights into ER-Positive Breast Cancer Therapeutics. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada562255.

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Perdigão, Rui A. P. Earth System Dynamic Intelligence - ESDI. Meteoceanics, April 2021. http://dx.doi.org/10.46337/esdi.210414.

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Earth System Dynamic Intelligence (ESDI) entails developing and making innovative use of emerging concepts and pathways in mathematical geophysics, Earth System Dynamics, and information technologies to sense, monitor, harness, analyze, model and fundamentally unveil dynamic understanding across the natural, social and technical geosciences, including the associated manifold multiscale multidomain processes, interactions and complexity, along with the associated predictability and uncertainty dynamics. The ESDI Flagship initiative ignites the development, discussion and cross-fertilization of novel theoretical insights, methodological developments and geophysical applications across interdisciplinary mathematical, geophysical and information technological approaches towards a cross-cutting, mathematically sound, physically consistent, socially conscious and operationally effective Earth System Dynamic Intelligence. Going beyond the well established stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid techniques, ESDI paves the way to exploratory and disruptive developments along emerging information physical intelligence pathways, and bridges fundamental and operational complex problem solving across frontier natural, social and technical geosciences. Overall, the ESDI Flagship breeds a nascent field and community where methodological ingenuity and natural process understanding come together to shed light onto fundamental theoretical aspects to build innovative methodologies, products and services to tackle real-world challenges facing our planet.
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