Literatura científica selecionada sobre o tema "Interaction similarity"
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Artigos de revistas sobre o assunto "Interaction similarity"
Wade, R. C., R. R. Gabdoulline e F. De Rienzo. "Protein interaction property similarity analysis". International Journal of Quantum Chemistry 83, n.º 3-4 (2001): 122–27. http://dx.doi.org/10.1002/qua.1204.
Texto completo da fonteTrøjelsgaard, Kristian, Pedro Jordano, Daniel W. Carstensen e Jens M. Olesen. "Geographical variation in mutualistic networks: similarity, turnover and partner fidelity". Proceedings of the Royal Society B: Biological Sciences 282, n.º 1802 (7 de março de 2015): 20142925. http://dx.doi.org/10.1098/rspb.2014.2925.
Texto completo da fonteIslam, Sumaiya, e Robert J. Pantazes. "Developing similarity matrices for antibody-protein binding interactions". PLOS ONE 18, n.º 10 (26 de outubro de 2023): e0293606. http://dx.doi.org/10.1371/journal.pone.0293606.
Texto completo da fonteTERASHIMA, Chieko, Yoshiaki TANIDA, Toshio MANABE e Hiroyuki SATO. "The Correlation between Similarity of Amino Acid Interaction Potentials and Structure Similarity". Journal of Computer Chemistry, Japan 20, n.º 4 (2021): 144–46. http://dx.doi.org/10.2477/jccj.2022-0003.
Texto completo da fonteGuéguen, Nicolas, Angélique Martin e Sébastien Meineri. "Similarity and Social Interaction: When Similarity Fosters Implicit Behavior Toward a Stranger". Journal of Social Psychology 151, n.º 6 (novembro de 2011): 671–73. http://dx.doi.org/10.1080/00224545.2010.522627.
Texto completo da fonteMiquel de Caceres, J. Villa, J. J. Lozano e F. Sanz. "MIPSIM: similarity analysis of molecular interaction potentials". Bioinformatics 16, n.º 6 (1 de junho de 2000): 568–69. http://dx.doi.org/10.1093/bioinformatics/16.6.568.
Texto completo da fonteHamill, David N., e S. Joseph Wright. "Interspecific Interaction and Similarity in Species Composition". American Naturalist 131, n.º 3 (março de 1988): 412–23. http://dx.doi.org/10.1086/284798.
Texto completo da fonteLukatsky, D. B., B. E. Shakhnovich, J. Mintseris e E. I. Shakhnovich. "Structural Similarity Enhances Interaction Propensity of Proteins". Journal of Molecular Biology 365, n.º 5 (fevereiro de 2007): 1596–606. http://dx.doi.org/10.1016/j.jmb.2006.11.020.
Texto completo da fonteLópez, Daniela N., Patricio A. Camus, Nelson Valdivia e Sergio A. Estay. "Integrating species and interactions into similarity metrics: a graph theory-based approach to understanding community similarity". PeerJ 7 (31 de maio de 2019): e7013. http://dx.doi.org/10.7717/peerj.7013.
Texto completo da fonteYan, Xiao-Ying, Shao-Wu Zhang e Song-Yao Zhang. "Prediction of drug–target interaction by label propagation with mutual interaction information derived from heterogeneous network". Molecular BioSystems 12, n.º 2 (2016): 520–31. http://dx.doi.org/10.1039/c5mb00615e.
Texto completo da fonteTeses / dissertações sobre o assunto "Interaction similarity"
Jurgenson, Eric Donald. "Applications of the Similarity Renormalization Group to the Nuclear Interaction". The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250105855.
Texto completo da fonteShen, Bin. "Explicating para-social interaction how para-social interaction interact with identification, similarity, affinity/liking, and imitation /". Thesis, [Tuscaloosa, Ala. : University of Alabama Libraries], 2009. http://purl.lib.ua.edu/60.
Texto completo da fonteWang, Chao, e Han Pan. "Visualization of Text Duplicates in Documents". Thesis, Växjö University, School of Mathematics and Systems Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-5408.
Texto completo da fonteIn this thesis, a tool to visualize duplicate parts in a series of given documents is developed.
Text duplicates are very common nowadays in all fields. This behavior severelyharms the rights of the original authors though it facilitates the work of those whocopy from them. Effective legal measures have been taken when it comes to copyrightissue. An increasing large number of people have paid serious attention to what theywrite when they refer to other people's works. Although references are properly madeby many who admire and respect others' achievements, plagiarism takes place all thetime. Therefore, an intuitive way of visualizing duplicate parts is needed so thatpeople can easily grasp the purpose and decide the legality of those duplicates. Whenit comes to computer science, software clone is very typical phenomenon amongdifferent development groups or even within one group. Since a piece of softwareusually have its hierarchy, it is also interesting to group members when they do aclone detection of their own or other software. For example, if a good overview of thehierarchies is provided in a tree representation, one can easily locate the clones of aparticular node in other trees. More interaction techniques can allow concrete codeaccesses through double clicking on a highlighted node.
To visualize duplicate parts in a nice and intuitive way, a visualization tool isdeveloped for this thesis project. By the time it is done, the following features shouldbe fulfilled. First, the tool can visualize similar or identical parts given a data set.Second, hierarchies of those files can be demonstrated with proper layout. Third, theuser can manipulate the data items on the screen in order to get a better insight of thedata set and help with analysis tasks. Forth, different levels of abstraction areprovided so that the user can either get an overview of all the files or specificallycheck the duplicate parts in the documents of interest.
Visualization of Text Duplicates in Documents
Lei, Antonio. "Do hometown and gender similarity enahnce supportive peer relationship? The interaction effect of cooperative goal". Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1950732.
Texto completo da fonteAronson, Olov. "Likhetsteorin : En teoretisk utveckling av Collins interaktionsritualer". Thesis, Karlstads universitet, Institutionen för sociala och psykologiska studier, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-33306.
Texto completo da fonteThe subject of the thesis originates in the discovery of a pattern in Collins’ theory of interaction rituals. The pattern indicates that several important ideas and concepts in Collins’ theory can be conceived as individuals’ experiences of similarity. Based upon the discovery of this pattern, the aim of the thesis is to develop the basic features of a new theory that explains interaction rituals by centering upon individuals’ experiences of similarity. In order to accomplish the aim, the essay discusses four aspects of interaction rituals. In connection to the first aspect, an explanation is presented that reveals why individuals who experience similarity give each other support in their interaction rituals. Discussing the second aspect, the concept of effervescence of similarity is presented, which explains why experiences of similarity are crucial for generating emotional energy in interaction rituals. When developing the third aspect, a complete description of similarity theory is presented. Similarity theory explains interaction rituals by referring to individuals’ experiences of similarity. Finally, in the discussion of the fourth aspect, similarity theory is tested against empirical research. The concluding sections argue for ways in which similarity theory may contribute considerably to the understanding of interaction rituals. Also, suggestions for further research are presented.
James, Brian M. "Ethnic identity among people of Mexican descent : a comparison of self reference, perception of similarity, and interaction preference /". Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-06112009-063347/.
Texto completo da fonteMuhammad, Fuad Muhammad Marwan. "Similarity Search in High-dimensional Spaces with Applications to Time Series Data Mining and Information Retrieval". Phd thesis, Université de Bretagne Sud, 2011. http://tel.archives-ouvertes.fr/tel-00619953.
Texto completo da fonteRowley, James R. "Is long-term relationship satisfaction in couples correlated with similar partner self-schema or similarity of partner's self-schema to ideal-partner schema?" CSUSB ScholarWorks, 1995. https://scholarworks.lib.csusb.edu/etd-project/1109.
Texto completo da fonteHansson, Sofia, e Joanna Lövquist. "Samspelet mellan finansiella rådgivare och kunder". Thesis, Högskolan Kristianstad, Institutionen för ekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-8260.
Texto completo da fonteBakgrund: Tidigare studier fokuserar på kundnöjdhet och kundlojalitet. Däremot saknas studier kring samspelet mellan finansiell rådgivare och kund. Därför har vi valt att fokusera på denna kunskapslucka Syfte: Syftet med uppsatsen är att belysa hur samspelet mellan finansiella rådgivare och kunder påverkar den finansiella rådgivningen vid ett investeringsbeslut. Metod: Uppsatsen har positivistisk undersökningsfilosofi då mönster hittades med hjälp av en undersökning. Vidare är uppsatsen kvantitativ eftersom den är mätbar och att den har undersökt om det finns några samband mellan den finansiella rådgivarens och kundens demografiska egenskaper samt om dessa påverkar rådgivningen. Slutsats: Teorierna thin-slicing och similarity attraction paradigm kan inte tillämpas i samspelet mellan finansiella rådgivare och kunder.
Barbany, Puig Montserrat. "Three Dimensional Simulitary of Molecules with biological interest on the basis of molecular interaction potentials". Doctoral thesis, Universitat Pompeu Fabra, 2006. http://hdl.handle.net/10803/7146.
Texto completo da fonteL'èxit d'aquestes tècniques depen críticament de la qualitat de la descripció molecular. En aquest sentit, metodologies basades en potencials d'interacció molecular (MIP) són eines útils per la comparació de compostos que presenten comportaments biològics semblants.
Aquest projecte desenvolupa eines per comparar molècules basades en la caracterització de llurs MIPs. El programa de similaritat molecular MIPsim ha estat desenvolupat i aplicat a diferents problemes biològics.
Aquesta tesi consisteix en quatre estudis científics que mostren l'ús del MIPSim en aliniament molecular, catalisi enzimàtica, en acoratge de molècules dins el lligand i en estudis 3D-QSAR.
One of the most promising areas in biomedical and pharmaceutical research is computer assisted molecular design, which tries to stablish relationships between physicochemical properties and biological activity.
The success of these techniques depends critically on the quality of the molecular description. In this sense, methodologies based on molecular interaction potentials (MIP) are useful tools for the comparison of compounds displaying related biological behaviours.
This project aims to develop tools to compare 'molecules based on the characterization 'of their MIPs. To this end, the molecular similarity program MIPSim has been further developed and applied to different biological problems.
This thesis consists on four scientific studies showing the use of MIPSim for molecular alignment, enzymatic catalysis, ligand-protein docking and 3D-QSAR analyses.
Livros sobre o assunto "Interaction similarity"
Language contact, inherited similarity and social difference: The story of linguistic interaction in the Maya Lowlands. Amsterdam: John Benjamins Publishing Company, 2014.
Encontre o texto completo da fonteBahrami, Bahador. Making the most of individual differences in joint decisions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789710.003.0004.
Texto completo da fonteFolkers, Gerd, Yvonne C. Martin e Hugo Kubinyi. 3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity. Springer London, Limited, 2006.
Encontre o texto completo da fonteKubinyi, Hugo. 3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity. Springer, 2010.
Encontre o texto completo da fonteGuadagno, Rosanna E. Compliance. Editado por Stephen G. Harkins, Kipling D. Williams e Jerry Burger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199859870.013.4.
Texto completo da fonteCochrane, Ethan E. Ancient Fiji. Editado por Ethan E. Cochrane e Terry L. Hunt. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199925070.013.016.
Texto completo da fonteNorman, Alex. Tourism. Editado por Michael Stausberg e Steven Engler. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198729570.013.34.
Texto completo da fonteSilliman, Brian R., Brent B. Hughes, Y. Stacy Zhang e Qiang He. Business as usual leads to underperformance in coastal restoration. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808978.003.0027.
Texto completo da fonteBindemann, Markus, ed. Forensic Face Matching. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837749.001.0001.
Texto completo da fonteJacobsen, Dean, e Olivier Dangles. Energy flow and species interactions at the edge. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198736868.003.0007.
Texto completo da fonteCapítulos de livros sobre o assunto "Interaction similarity"
Colombo, Moreno. "Semantic Similarity Measures". In Phenotropic Interaction, 49–69. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42819-7_4.
Texto completo da fonteAerts, Sven, Kirsty Kitto e Laurianne Sitbon. "Similarity Metrics within a Point of View". In Quantum Interaction, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24971-6_3.
Texto completo da fonteYearsley, James M., Emmanuel M. Pothos, James A. Hampton e Albert Barque Duran. "Towards a Quantum Probability Theory of Similarity Judgments". In Quantum Interaction, 132–45. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15931-7_11.
Texto completo da fonteCohen, Trevor, Dominic Widdows, Roger Schvaneveldt e Thomas C. Rindflesch. "Finding Schizophrenia’s Prozac Emergent Relational Similarity in Predication Space". In Quantum Interaction, 48–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24971-6_6.
Texto completo da fonteKalbaliyev, Emil, e Samir Rustamov. "Text Similarity Detection Using Machine Learning Algorithms with Character-Based Similarity Measures". In Digital Interaction and Machine Intelligence, 11–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74728-2_2.
Texto completo da fonteKnees, Peter, e Markus Schedl. "Listener-Centered Data Sources and Aspects: Traces of Music Interaction". In Music Similarity and Retrieval, 161–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49722-7_7.
Texto completo da fonteYang, Yifang, Yuping Wang e Yiu-ming Cheung. "Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation". In Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 246–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39342-6_27.
Texto completo da fonteNabeta, Keita, Akira Hatano, Hirotsugu Ishida, Masaomi Kimura, Michiko Ohkura e Fumito Tsuchiya. "The Similarity Index of Character Shape of Medicine Names Based on Character Shape Similarity (II)". In Human-Computer Interaction. Design and Development Approaches, 628–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21602-2_68.
Texto completo da fonteKimura, Masaomi, Yutaroh Furukawa, Akira Kojo, Hirotsugu Ishida, Keita Nabeta, Michiko Ohkura e Fumito Tsuchiya. "Appearance Similarity Index for Medicinal Ampoule Labels". In Human-Computer Interaction. Design and Development Approaches, 588–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21602-2_64.
Texto completo da fonteRai, Abhay Kumar, Rahul Kumar Yadav, Shashi Prakash Tripathi, Pawan Singh e Apurva Sharma. "A Novel Similarity-Based Method for Link Prediction in Complex Networks". In Intelligent Human Computer Interaction, 309–18. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53830-8_32.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Interaction similarity"
Liu, Shengrui, e Wenrong Tan. "Multi-Scale and Similarity Interaction Modeling for Pedestrian Trajectory Prediction Based on Graph Convolutional Neural Networks". In 2024 4th International Conference on Computer Science and Blockchain (CCSB), 138–43. IEEE, 2024. http://dx.doi.org/10.1109/ccsb63463.2024.10735465.
Texto completo da fonteSpahn, Wolfgang. "Self-similarity". In AfriCHI '18: 2nd African Conference for Human Computer Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3283458.3283527.
Texto completo da fonteHwang, Woochang, Taehyong Kim, Young-Rae Cho, Aidong Zhang e Murali Ramanathan. "SIGN: reliable protein interaction identification by integrating the Similarity In GO and the similarity in protein interaction Networks". In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375752.
Texto completo da fonteTirilly, Pierre, Xiangming Mu, Chunsheng Huang, Iris Xie, Wooseob Jeong e Jin Zhang. "On the consistency and features of image similarity". In the 4th Information Interaction in Context Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2362724.2362754.
Texto completo da fonteBernier, Emily P., e Brian Scassellati. "The similarity-attraction effect in human-robot interaction". In 2010 IEEE 9th International Conference on Development and Learning (ICDL 2010). IEEE, 2010. http://dx.doi.org/10.1109/devlrn.2010.5578828.
Texto completo da fonteCarnevale, Mauro, Feng Wang, Anthony B. Parry, Jeffrey S. Green e Luca di Mare. "Fan Similarity Model for the Fan-Intake Interaction Problem". In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63868.
Texto completo da fonteMathews, Anurag, e S. M Taiabul Haque. "Exploring the Risks of Password Reuse across Websites of Different Importance". In 12th International Conference on Human Interaction and Emerging Technologies (IHIET 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005468.
Texto completo da fonteChoi, Hyunsoek, e Hyeyoung Park. "Measuring Similarity Between Matrix Objects for Pattern Recognition". In HAI 2015: The Third International Conference on Human-Agent Interaction. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2814940.2814967.
Texto completo da fonteBalatsoukas, Panos, e Ian Ruthven. "Graphical representation and similarity measurement of relevance judgments on the web". In the 4th Information Interaction in Context Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2362724.2362771.
Texto completo da fonteNishida, Hikaru, Yumi Wakita e Yotaro Iida. "The effect of topic-shift characteristics in daily conversation on identification of recognition errors". In 8th International Conference on Human Interaction and Emerging Technologies. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002757.
Texto completo da fonteRelatórios de organizações sobre o assunto "Interaction similarity"
Tzfira, Tzvi, Michael Elbaum e Sharon Wolf. DNA transfer by Agrobacterium: a cooperative interaction of ssDNA, virulence proteins, and plant host factors. United States Department of Agriculture, dezembro de 2005. http://dx.doi.org/10.32747/2005.7695881.bard.
Texto completo da fonteShmulevich, Itzhak, Shrini Upadhyaya, Dror Rubinstein, Zvika Asaf e Jeffrey P. Mitchell. Developing Simulation Tool for the Prediction of Cohesive Behavior Agricultural Materials Using Discrete Element Modeling. United States Department of Agriculture, outubro de 2011. http://dx.doi.org/10.32747/2011.7697108.bard.
Texto completo da fonteTetzlaff, Sasha, Jinelle Sperry e Brett DeGregorio. You can go your own way : no evidence for social behavior based on kinship or familiarity in captive juvenile box turtles. Engineer Research and Development Center (U.S.), agosto de 2022. http://dx.doi.org/10.21079/11681/44923.
Texto completo da fonteTidd, Alexander N., Richard A. Ayers, Grant P. Course e Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Editado por Mark James e Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.
Texto completo da fonteCahaner, Avigdor, Susan J. Lamont, E. Dan Heller e Jossi Hillel. Molecular Genetic Dissection of Complex Immunocompetence Traits in Broilers. United States Department of Agriculture, agosto de 2003. http://dx.doi.org/10.32747/2003.7586461.bard.
Texto completo da fonteLifschitz, Eliezer, e Elliot Meyerowitz. The Relations between Cell Division and Cell Type Specification in Floral and Vegetative Meristems of Tomato and Arabidopsis. United States Department of Agriculture, fevereiro de 1996. http://dx.doi.org/10.32747/1996.7613032.bard.
Texto completo da fonteBarefoot, Susan, Benjamin Juven, Thomas Hughes, Avraham Lalazar, A. B. Bodine, Yitzhak Ittah e Bonita Glatz. Characterization of Bacteriocins Produced by Food Bioprocessing Propionobacteria. United States Department of Agriculture, agosto de 1992. http://dx.doi.org/10.32747/1992.7561061.bard.
Texto completo da fonteDudley, Lynn M., Uri Shani e Moshe Shenker. Modeling Plant Response to Deficit Irrigation with Saline Water: Separating the Effects of Water and Salt Stress in the Root Uptake Function. United States Department of Agriculture, março de 2003. http://dx.doi.org/10.32747/2003.7586468.bard.
Texto completo da fonteDuvvuri, Sarvani, e Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, julho de 2021. http://dx.doi.org/10.31979/mti.2021.1946.
Texto completo da fonteChalutz, Edo, Michael Wisniewski, Samir Droby, Yael Eilam e Ilan Chet. Mode of Action of Yeast Biocontrol Agents of Postharvest Diseases of Fruits. United States Department of Agriculture, junho de 1996. http://dx.doi.org/10.32747/1996.7613025.bard.
Texto completo da fonte