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Kádár, Dániel Z. "Identity Formation in Ritual Interaction". International Review of Pragmatics 7, n.º 2 (2015): 278–307. http://dx.doi.org/10.1163/18773109-00702006.
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This paper explores the (co-)construction of identities in ritual interaction, by focusing on the choice of interactional styles. ‘Interactional style’ describes a cluster of similar indexical actions within the interaction “frame” (Goffman, 1974) of a ritual. Ritual is a recurrent interaction type, which puts constraints on the individual’s “freedom” to construct their (and others’) identities, in a somewhat similar way to institutional interactions, which have been broadly studied in the field. However, the constraints posed by ritual interactions are different from institutional, and so by examining identity (co-)construction via interactional style choices in ritual contexts, this paper fills an important knowledge gap. I approach interactional style choices through the notions of “role” and “accountability”, and by placing ritual practices within Goffman’s (1981) participation framework. I use examples of heckling at performing arts events as data. By focusing on interactional style, the paper contributes to the present Special Issue dedicated to interactional styles across cultures.
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Gándara Vázquez, Manuel. "Interacción e interactividad: Manual de museografía interactiva". Intervención Revista Internacional de Conservación Restauración y Museología 1, n.º 1 (1 de mayo de 2010): 75–77. http://dx.doi.org/10.30763/intervencion.2013.7.91.
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Kulharia, Mahesh. "Geometrical and electro-static determinants of protein-protein interactions". Bioinformation 17, n.º 10 (31 de octubre de 2021): 851–60. http://dx.doi.org/10.6026/97320630017851.
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Protein-protein interactions (PPI) are pivotal to the numerous processes in the cell. Therefore, it is of interest to document the analysis of these interactions in terms of binding sites, topology of the interacting structures and physiochemical properties of interacting interfaces and the of forces interactions. The interaction interface of obligatory protein-protein complexes differs from that of the transient interactions. We have created a large database of protein-protein interactions containing over100 thousand interfaces. The structural redundancy was eliminated to obtain a non-redundant database of over 2,265 interaction interfaces. Therefore, it is of interest to document the analysis of these interactions in terms of binding sites, topology of the interacting structures and physiochemical properties of interacting interfaces and the offorces interactions. The residue interaction propensity and all of the rest of the parametric scores converged to a statistical indistinguishable common sub-range and followed the similar distribution trends for all three classes of sequence-based classifications PPInS. This indicates that the principles of molecular recognition are dependent on the preciseness of the fit in the interaction interfaces. Thus, it reinforces the importance of geometrical and electrostatic complementarity as the main determinants for PPIs.
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KURNIASARI, CECILIA INDRI. "Social Interaction on Patients with Schizophrenia in Psychiatric Hospital". Jurnal Ilmiah Kesehatan Keperawatan 15, n.º 2 (15 de enero de 2020): 25. http://dx.doi.org/10.26753/jikk.v15i2.335.
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Social interaction is one of important indicator in the recovery process of mental patients, especially in patients with schizophrenia. Active social interactions can help patients with schizophrenia to socialize, while less active social interactions can cause social isolation to the risk of suicide. The purpose of this study was to determine the social interaction of patients with schizophrenia in psychiatric hospital. The number of participant in this study were 52 patients. Sampling with a purposive sampling technique. Data were collected using Social Interaction Questionnaire and Behavior Observation Sheet consisting of 18 statements. The analysis of this study was using univariate analysis with table of frequency distribution. The results showed that social interactions in schizophrenia patients were 45 patients with less active interacting categories, 5 patients with moderately active interacting categories, and 2 patients with active interacting categories. The results of the study can be used as a reference in determining appropriate nursing therapy in increasing social interaction in schizophrenia patients in mental hospitalsKeywords: social interaction; social psychological factors; schizophrenia;
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DeBlasio, Stacy L., Juan D. Chavez, Mariko M. Alexander, John Ramsey, Jimmy K. Eng, Jaclyn Mahoney, Stewart M. Gray, James E. Bruce y Michelle Cilia. "Visualization of Host-Polerovirus Interaction Topologies Using Protein Interaction Reporter Technology". Journal of Virology 90, n.º 4 (9 de diciembre de 2015): 1973–87. http://dx.doi.org/10.1128/jvi.01706-15.
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ABSTRACTDemonstrating direct interactions between host and virus proteins during infection is a major goal and challenge for the field of virology. Most protein interactions are not binary or easily amenable to structural determination. Using infectious preparations of a polerovirus (Potato leafroll virus[PLRV]) and protein interaction reporter (PIR), a revolutionary technology that couples a mass spectrometric-cleavable chemical cross-linker with high-resolution mass spectrometry, we provide the first report of a host-pathogen protein interaction network that includes data-derived, topological features for every cross-linked site that was identified. We show that PLRV virions have hot spots of protein interaction and multifunctional surface topologies, revealing how these plant viruses maximize their use of binding interfaces. Modeling data, guided by cross-linking constraints, suggest asymmetric packing of the major capsid protein in the virion, which supports previous epitope mapping studies. Protein interaction topologies are conserved with other species in theLuteoviridaeand with unrelated viruses in theHerpesviridaeandAdenoviridae. Functional analysis of three PLRV-interacting host proteinsin plantausing a reverse-genetics approach revealed a complex, molecular tug-of-war between host and virus. Structural mimicry and diversifying selection—hallmarks of host-pathogen interactions—were identified within host and viral binding interfaces predicted by our models. These results illuminate the functional diversity of the PLRV-host protein interaction network and demonstrate the usefulness of PIR technology for precision mapping of functional host-pathogen protein interaction topologies.IMPORTANCEThe exterior shape of a plant virus and its interacting host and insect vector proteins determine whether a virus will be transmitted by an insect or infect a specific host. Gaining this information is difficult and requires years of experimentation. We used protein interaction reporter (PIR) technology to illustrate how viruses exploit host proteins during plant infection. PIR technology enabled our team to precisely describe the sites of functional virus-virus, virus-host, and host-host protein interactions using a mass spectrometry analysis that takes just a few hours. Applications of PIR technology in host-pathogen interactions will enable researchers studying recalcitrant pathogens, such as animal pathogens where host proteins are incorporated directly into the infectious agents, to investigate how proteins interact during infection and transmission as well as develop new tools for interdiction and therapy.
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Hong, Fuxing, Dongbo Huang y Ge Chen. "Interaction-Aware Factorization Machines for Recommender Systems". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 3804–11. http://dx.doi.org/10.1609/aaai.v33i01.33013804.
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Factorization Machine (FM) is a widely used supervised learning approach by effectively modeling of feature interactions. Despite the successful application of FM and its many deep learning variants, treating every feature interaction fairly may degrade the performance. For example, the interactions of a useless feature may introduce noises; the importance of a feature may also differ when interacting with different features. In this work, we propose a novel model named Interaction-aware Factorization Machine (IFM) by introducing Interaction-Aware Mechanism (IAM), which comprises the feature aspect and the field aspect, to learn flexible interactions on two levels. The feature aspect learns feature interaction importance via an attention network while the field aspect learns the feature interaction effect as a parametric similarity of the feature interaction vector and the corresponding field interaction prototype. IFM introduces more structured control and learns feature interaction importance in a stratified manner, which allows for more leverage in tweaking the interactions on both feature-wise and field-wise levels. Besides, we give a more generalized architecture and propose Interaction-aware Neural Network (INN) and DeepIFM to capture higher-order interactions. To further improve both the performance and efficiency of IFM, a sampling scheme is developed to select interactions based on the field aspect importance. The experimental results from two well-known datasets show the superiority of the proposed models over the state-of-the-art methods.
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Pires, Mathias M. y Paulo R. Guimarães. "Interaction intimacy organizes networks of antagonistic interactions in different ways". Journal of The Royal Society Interface 10, n.º 78 (6 de enero de 2013): 20120649. http://dx.doi.org/10.1098/rsif.2012.0649.
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Interaction intimacy, the degree of biological integration between interacting individuals, shapes the ecology and evolution of species interactions. A major question in ecology is whether interaction intimacy also shapes the way interactions are organized within communities. We combined analyses of network structure and food web models to test the role of interaction intimacy in determining patterns of antagonistic interactions, such as host–parasite, predator–prey and plant–herbivore interactions. Networks describing interactions with low intimacy were more connected, more nested and less modular than high-intimacy networks. Moreover, the performance of the models differed across networks with different levels of intimacy. All models reproduced well low-intimacy networks, whereas the more elaborate models were also capable of reproducing networks depicting interactions with higher levels of intimacy. Our results indicate the key role of interaction intimacy in organizing antagonisms, suggesting that greater interaction intimacy might be associated with greater complexity in the assembly rules shaping ecological networks.
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Kawashima, Rieko, Hisashi Matsunaga y Toshiaki Sendo. "Drug interaction (22. opioid-drug interactions)". Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 123, n.º 3 (2011): 239–41. http://dx.doi.org/10.4044/joma.123.239.
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Minati, Gianfranco. "Interactions and Interaction Mechanisms as Generators of Complex Systems". PROOF 2 (21 de marzo de 2022): 96–107. http://dx.doi.org/10.37394/232020.2022.2.12.
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The concept of interaction is widely used in almost all disciplinary and interdisciplinary contexts. However, such a concept is often used in simplistic ways. We concentrate on scientific aspects, particularly systemic, identifying fundamental conceptual issues and interdisciplinary extensions. For example, a process of interacting is usually considered to occur iteratively in the same way, except for parametric variations, between fixed pairs or entities when one’s behavior is assumed to depend on another’s behavior. This simplistic view then has effects on the models adopted. A more appropriate concept of interaction should include aspects such as the occurrence of variable interacting pairs, variable interactions, and multiple, in this case, clustered, pairs. Furthermore, their desynchronization, the occurrence of incomplete interactions; interchanging, the exchange of roles, the acquisition of multiple roles, passive interactions such as the maintenance of covariance and correlation, and the establishment of fields of interaction and their mutual influence should be included. The interaction observed-observer is considered here not as a perturbation but in reference to the cognitive expectancies of the observer. This is assuming stable validity of the same model and between the understanding by the active observer and the phenomenon that reacts to being treated as if it were what the observer had in mind. A more appropriate and comprehensive concept of interaction is required. This is particularly true in systems science when dealing with processes of self-organization and emergence, whose models are widely based on simplistic concepts of interaction. The usage of more appropriate representations, based, for instance, on clustering and networking, of interacting in models is expected to allow the implementation of approaches suitable to activate, deactivate, and vary interactions in complex systems, e.g., collective phenomena.
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Sun, Zheng, Shihao Li, Fuhua Li y Jianhai Xiang. "Bioinformatic Prediction of WSSV-Host Protein-Protein Interaction". BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/416543.
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WSSV is one of the most dangerous pathogens in shrimp aquaculture. However, the molecular mechanism of how WSSV interacts with shrimp is still not very clear. In the present study, bioinformatic approaches were used to predict interactions between proteins from WSSV and shrimp. The genome data of WSSV (NC_003225.1) and the constructed transcriptome data ofF. chinensiswere used to screen potentially interacting proteins by searching in protein interaction databases, including STRING, Reactome, and DIP. Forty-four pairs of proteins were suggested to have interactions between WSSV and the shrimp. Gene ontology analysis revealed that 6 pairs of these interacting proteins were classified into “extracellular region” or “receptor complex” GO-terms. KEGG pathway analysis showed that they were involved in the “ECM-receptor interaction pathway.” In the 6 pairs of interacting proteins, an envelope protein called “collagen-like protein” (WSSV-CLP) encoded by an early virus gene “wsv001” in WSSV interacted with 6 deduced proteins from the shrimp, including three integrin alpha (ITGA), two integrin beta (ITGB), and one syndecan (SDC). Sequence analysis on WSSV-CLP, ITGA, ITGB, and SDC revealed that they possessed the sequence features for protein-protein interactions. This study might provide new insights into the interaction mechanisms between WSSV and shrimp.
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Pancheva, Alexandrina, Helen Wheadon, Simon Rogers y Thomas D. Otto. "Using topic modeling to detect cellular crosstalk in scRNA-seq". PLOS Computational Biology 18, n.º 4 (8 de abril de 2022): e1009975. http://dx.doi.org/10.1371/journal.pcbi.1009975.
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Cell-cell interactions are vital for numerous biological processes including development, differentiation, and response to inflammation. Currently, most methods for studying interactions on scRNA-seq level are based on curated databases of ligands and receptors. While those methods are useful, they are limited to our current biological knowledge. Recent advances in single cell protocols have allowed for physically interacting cells to be captured, and as such we have the potential to study interactions in a complimentary way without relying on prior knowledge. We introduce a new method based on Latent Dirichlet Allocation (LDA) for detecting genes that change as a result of interaction. We apply our method to synthetic datasets to demonstrate its ability to detect genes that change in an interacting population compared to a reference population. Next, we apply our approach to two datasets of physically interacting cells to identify the genes that change as a result of interaction, examples include adhesion and co-stimulatory molecules which confirm physical interaction between cells. For each dataset we produce a ranking of genes that are changing in subpopulations of the interacting cells. In addition to the genes discussed in the original publications, we highlight further candidates for interaction in the top 100 and 300 ranked genes. Lastly, we apply our method to a dataset generated by a standard droplet-based protocol not designed to capture interacting cells, and discuss its suitability for analysing interactions. We present a method that streamlines detection of interactions and does not require prior clustering and generation of synthetic reference profiles to detect changes in expression.
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Lee, Nicole y Trent Seltzer. "Vicarious interaction". Journal of Communication Management 22, n.º 3 (6 de agosto de 2018): 262–79. http://dx.doi.org/10.1108/jcom-11-2017-0129.
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Purpose The purpose of this paper is to explore how online interaction with an organization impacts not only those users participating in the exchange, but also those that witness the interaction and are influenced as suggested by social cognitive theory. Design/methodology/approach This study utilized a mixed methodological approach. First, 20 interviews with social media users were conducted to explore their perceptions of observed two-way communication between organizations and other users within social media spaces. An experiment then compared the effects of interacting with an organization via social media vs simply observing organizations interacting with other users. Findings The findings from both studies support the assertion that publics do not have to actively participate in two-way communication with an organization for an observed exchange to have an impact. When an organization has a conversation with one follower, others see that interaction and are affected by it. Practical implications This study has implications for the practice of online communication by organizations. Practitioners must consider how interactions impact those publics who are observing rather than only the few who are engaging. In the social media realm, priority should be given to followers posting legitimate questions or concerns. Responding to positive comments can also improve perceptions of the organization but is seen as going above and beyond. Originality/value This paper introduces the concept of vicarious interaction – a phenomenon warranting further investigation by strategic communication scholars. Distinguishing between the effects of “vicarious interaction” and direct interaction could have significant consequences for the study of relational or symmetrical approaches to social media.
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Hara, Kodai, Masayuki Uchida, Risa Tagata, Hideshi Yokoyama, Yoshinobu Ishikawa, Asami Hishiki y Hiroshi Hashimoto. "Structure of proliferating cell nuclear antigen (PCNA) bound to an APIM peptide reveals the universality of PCNA interaction". Acta Crystallographica Section F Structural Biology Communications 74, n.º 4 (22 de marzo de 2018): 214–21. http://dx.doi.org/10.1107/s2053230x18003242.
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Proliferating cell nuclear antigen (PCNA) provides a molecular platform for numerous protein–protein interactions in DNA metabolism. A large number of proteins associated with PCNA have a well characterized sequence termed the PCNA-interacting protein box motif (PIPM). Another PCNA-interacting sequence termed the AlkB homologue 2 PCNA-interacting motif (APIM), comprising the five consensus residues (K/R)-(F/Y/W)-(L/I/V/A)-(L/I/V/A)-(K/R), has also been identified in various proteins. In contrast to that with PIPM, the PCNA–APIM interaction is less well understood. Here, the crystal structure of PCNA bound to a peptide carrying an APIM consensus sequence, RFLVK, was determined and structure-based interaction analysis was performed. The APIM peptide binds to the PIPM-binding pocket on PCNA in a similar way to PIPM. The phenylalanine and leucine residues within the APIM consensus sequence and a hydrophobic residue that precedes the APIM consensus sequence are crucially involved in interactions with the hydrophobic pocket of PCNA. This interaction is essential for overall binding. These results provide a structural basis for regulation of the PCNA interaction and might aid in the development of specific inhibitors of this interaction.
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Kádár, Dániel Z. y Siân Robinson Davies. "Ritual, aggression, and participatory ambiguity". Journal of Language Aggression and Conflict 4, n.º 2 (16 de diciembre de 2016): 202–33. http://dx.doi.org/10.1075/jlac.4.2.03kad.
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This paper analyses the phenomenon of participatory ambiguity in aggressive ritualistic interactions. One can ‘participate’ (Goffman 1979, 1981) in an interaction in different statuses, and these statuses entail different interactional constraints and obligations, also within the realms of language aggression and conflict. We are interested in a specific aspect of participation, namely ratification — the assumed right to participate in an interaction. ‘Ambiguity’ describes forms of behaviour which deviate from participant and observer expectations of interacting in certain discursive roles, without clearly violating (un)ratified participation roles. Examining the relationship between participatory ambiguity and language aggression fills an important knowledge gap in the field, as this area has been relatively ignored. We take heckling in experimental performing arts as a case study.
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Luo, Chengyi, Haoqing Zhang, Vanessa P. W. Koh, John D. Wilson, Anjun Chu, Murray J. Holland, Ana Maria Rey y James K. Thompson. "Momentum-exchange interactions in a Bragg atom interferometer suppress Doppler dephasing". Science 384, n.º 6695 (3 de mayo de 2024): 551–56. http://dx.doi.org/10.1126/science.adi1393.
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Large ensembles of laser-cooled atoms interacting through infinite-range photon-mediated interactions are powerful platforms for quantum simulation and sensing. Here we realize momentum-exchange interactions in which pairs of atoms exchange their momentum states by collective emission and absorption of photons from a common cavity mode, a process equivalent to a spin-exchange or XX collective Heisenberg interaction. The momentum-exchange interaction leads to an observed all-to-all Ising-like interaction in a matter-wave interferometer. A many-body energy gap also emerges, effectively binding interferometer matter-wave packets together to suppress Doppler dephasing in analogy to Mössbauer spectroscopy. The tunable momentum-exchange interaction expands the capabilities of quantum interaction–enhanced matter-wave interferometry and may enable the realization of exotic behaviors, including simulations of superconductors and dynamical gauge fields.
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Marcus, Stav, Ari M. Turner y Guy Bunin. "Local and collective transitions in sparsely-interacting ecological communities". PLOS Computational Biology 18, n.º 7 (11 de julio de 2022): e1010274. http://dx.doi.org/10.1371/journal.pcbi.1010274.
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Interactions in natural communities can be highly heterogeneous, with any given species interacting appreciably with only some of the others, a situation commonly represented by sparse interaction networks. We study the consequences of sparse competitive interactions, in a theoretical model of a community assembled from a species pool. We find that communities can be in a number of different regimes, depending on the interaction strength. When interactions are strong, the network of coexisting species breaks up into small subgraphs, while for weaker interactions these graphs are larger and more complex, eventually encompassing all species. This process is driven by the emergence of new allowed subgraphs as interaction strength decreases, leading to sharp changes in diversity and other community properties, and at weaker interactions to two distinct collective transitions: a percolation transition, and a transition between having a unique equilibrium and having multiple alternative equilibria. Understanding community structure is thus made up of two parts: first, finding which subgraphs are allowed at a given interaction strength, and secondly, a discrete problem of matching these structures over the entire community. In a shift from the focus of many previous theories, these different regimes can be traversed by modifying the interaction strength alone, without need for heterogeneity in either interaction strengths or the number of competitors per species.
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Huang, Cheng-Hsin, Tong Wai Wong, Chen-Hsu Yu, Jing-Yuan Chang, Shing-Jong Huang, Shou-Ling Huang y Richard P. Cheng. "Swapping the Positions in a Cross-Strand Lateral Ion-Pairing Interaction between Ammonium- and Carboxylate-Containing Residues in a β-Hairpin". Molecules 26, n.º 5 (3 de marzo de 2021): 1346. http://dx.doi.org/10.3390/molecules26051346.
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Cross-strand lateral ion-pairing interactions are important for antiparallel β-sheet stability. Statistical studies suggested that swapping the position of cross-strand lateral residues should not significantly affect the interaction. Herein, we swapped the position of ammonium- and carboxylate-containing residues with different side-chain lengths in a cross-strand lateral ion-pairing interaction in a β-hairpin. The peptides were analyzed by 2D-NMR. The fraction folded population and folding free energy were derived from the chemical shift data. The ion-pairing interaction energy was derived using double mutant cycle analysis. The general trends for the fraction folded population and interaction energetics remained similar upon swapping the position of the interacting charged residues. The most stabilizing cross-strand interactions were between short residues, similar to the unswapped study. However, the fraction folded populations for most of the swapped peptides were higher compared to the corresponding unswapped peptides. Furthermore, subtle differences in the ion-pairing interaction energy upon swapping were observed, most likely due to the “unleveled” relative positioning of the interacting residues created by the inherent right-handed twist of the structure. These results should be useful for developing functional peptides that rely on lateral ion-pairing interactions across antiparallel β-strands.
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Han, Ying, Liang Cheng y Weiju Sun. "Analysis of Protein-Protein Interaction Networks through Computational Approaches". Protein & Peptide Letters 27, n.º 4 (17 de marzo de 2020): 265–78. http://dx.doi.org/10.2174/0929866526666191105142034.
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The interactions among proteins and genes are extremely important for cellular functions. Molecular interactions at protein or gene levels can be used to construct interaction networks in which the interacting species are categorized based on direct interactions or functional similarities. Compared with the limited experimental techniques, various computational tools make it possible to analyze, filter, and combine the interaction data to get comprehensive information about the biological pathways. By the efficient way of integrating experimental findings in discovering PPIs and computational techniques for prediction, the researchers have been able to gain many valuable data on PPIs, including some advanced databases. Moreover, many useful tools and visualization programs enable the researchers to establish, annotate, and analyze biological networks. We here review and list the computational methods, databases, and tools for protein−protein interaction prediction.
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Michal, Vincent P., Igor L. Aleiner, Boris L. Altshuler y Georgy V. Shlyapnikov. "Finite-temperature fluid–insulator transition of strongly interacting 1D disordered bosons". Proceedings of the National Academy of Sciences 113, n.º 31 (19 de julio de 2016): E4455—E4459. http://dx.doi.org/10.1073/pnas.1606908113.
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We consider the many-body localization–delocalization transition for strongly interacting one-dimensional disordered bosons and construct the full picture of finite temperature behavior of this system. This picture shows two insulator–fluid transitions at any finite temperature when varying the interaction strength. At weak interactions, an increase in the interaction strength leads to insulator → fluid transition, and, for large interactions, there is a reentrance to the insulator regime. It is feasible to experimentally verify these predictions by tuning the interaction strength with the use of Feshbach or confinement-induced resonances, for example, in 7Li or 39K.
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Yashin, Anatoliy, Dequing Wu, Konstantin Arbeev, Eric Stallard, Qihua Tan, Alexander Kulminski, Mary Feitosa y Svetlana Ukraintseva. "Role of Genetic Interactions in Alzheimer’s Disease: Lessons from Long Life Family Study (LLFS)". Innovation in Aging 4, Supplement_1 (1 de diciembre de 2020): 491. http://dx.doi.org/10.1093/geroni/igaa057.1589.
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Abstract Experimental and clinical studies of Alzheimer’s disease (AD) provide plentiful evidence of AD heterogeneity and involvement of many interacting genes and pathways in regulation of AD-related traits. However, detailed mechanisms of genetic interactions (GxG) involved in AD remain largely unknown. Uncovering hidden patterns of such interactions from human data will help better understand the nature of AD heterogeneity and find new targets for AD prevention. In this paper, we applied a newly developed method of evaluating joint GxG effects on AD to analysis of the Long Life Family Study data. The analysis included several steps: (i) selecting candidate genes from stress response pathways that are thought to be involved in AD; (ii) estimating interaction effects of SNP-pairs on AD risk, and selecting the top interacting SNPs; (iii) running GWAS-like interaction analysis for SNP-pairs, with one SNP fixed; (iv) using characteristics of the detected SNP-pairs interactions to construct the SNP-specific Interaction Polygenic Risk Scores (IPRS); and (v) evaluating the effects of IPRSs on AD. We found that SNP-specific IPRS have highly significant effects on AD risk. For most SNPs involved in the significant interaction effects on AD, their individual effects were statistically not significant. Male and female analyses yielded different subsets of the top interacting SNPs. These results support major role of genetic interactions in heterogeneity of AD, and indicate that AD mechanisms can involve different combinations of the interacting genetic variants in males and females, which may point to different pathways of resistance/response to stressors in two genders.
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GUO, HUAIMING y SHUN-QING SHEN. "EFFECT OF INTERACTION IN ONE-DIMENSIONAL TOPOLOGICAL INSULATOR". International Journal of Modern Physics B 27, n.º 07 (10 de marzo de 2013): 1361001. http://dx.doi.org/10.1142/s0217979213610018.
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The one-dimensional interacting topological insulator is studied by means of exact diagonalization method. The topological properties are examined with the existence of the edge states and the quantized berry phase at half-filling. It is found that the topological phases are not only robust to small repulsive interactions but also are stabilized by small attractive interactions and also finite repulsive interaction can drive a topological nontrivial phase into a trivial one while the attractive interaction can drive a trivial phase into a nontrivial one. These results could be realized experimentally using cold atoms trapped in the 1D optical lattice.
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DING, HANQIN y JUN ZHANG. "EFFECT OF CORRELATED-HOPPING INTERACTION ON A ONE-DIMENSIONAL EXTENDED HUBBARD MODEL WITH SPIN-EXCHANGE INTERACTION". Modern Physics Letters B 26, n.º 07 (20 de marzo de 2012): 1150044. http://dx.doi.org/10.1142/s0217984911500448.
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By using the field-theoretical techniques combining bosonization with renormalization group, we study a one-dimensional (1D) model of interacting electrons with on-site repulsion (U > 0), nearest-neighbor (nn) exchange (J) and correlated-hopping (t2, t3) interactions at weak coupling. In the case of a half-filled band, the two-body interaction t2 does not influence phase diagram of the model, while the presence of three-body interaction t3 makes the physics of the system highly non-trivial. By a Hartree–Fock decoupling, the effects of t3 bring about hopping of pairs, V-like (nn Coulomb interaction) and isotropic exchange terms in the reduced model Hamiltonian. Interestingly, a negative t3 provides a possibility for the occurrence of the triplet superconductivity in 1D system with purely repulsive interactions (U, J > 0). The ground state phase diagram including the insulating and superconducting phases is discussed analytically.
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Batavia, Edgar Lucero. "Asking about Content and Adding Content: two Patterns of Classroom Interaction". Colombian Applied Linguistics Journal 14, n.º 1 (29 de junio de 2012): 28. http://dx.doi.org/10.14483/22487085.3811.
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This research project focuses on identifying and describing the interactional patterns and the speech acts that emerge and are maintainedthrough teacher-student interactions in a university-level EFL Pre-intermediate class. This work also analyzes how these patterns potentiallyinfluence the participants’ interactional behavior. This study then answers two questions: what interactional patterns emerge and how they arestructured in interactions between the teacher and the students in the EFL class? And, how can the utterances that compose the interactionalpatterns potentially influence both interactants’ interactional behavior in the EFL class? The description and analysis of the problem followethnomethodological conversation analysis. The findings show that there are two main interactional patterns in the EFL class observed for thisstudy: asking about content, and adding content. Both patterns present characteristic developments and speech acts that potentially influencethe teacher and students’ interactional behavior in this class. These findings serve as a reference and evidence for the interactional patterns thatemerge in EFL classroom interaction and the influence they have on the way both interactants use the target language in classroom interaction.
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Busch, Gillian Roslyn. "‘Happy birthday Grandpa’". Research on Children and Social Interaction 2, n.º 1 (3 de agosto de 2018): 74–97. http://dx.doi.org/10.1558/rcsi.34849.
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Video-supported technology is employed by many families to support familial relationships between grandchildren and grandparents. Employing an ethnomethodological and conversation analytic approach, this paper investigates the interactions of one family during a Skype session. The Skype call examined has special significance as the family members (mother and grandson) are calling to celebrate Grandpa's birthday. Detailed examination of video-recorded intergenerational interactions shows how the interactions are managed. Analysis highlights the important role of the mother in managing the progression of the call and her child's interaction with the grandfather. The interactional resources employed by the grandfather to initiate and sustain interaction with his grandson are examined. Also explicated is the interactional competence of a very young child in deploying interactional resources that orient to the affordances of technology. The findings contribute to understandings about how intergenerational interactions occur.
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Yang, Zhi, Jilong Xue, Christo Wilson, Ben Zhao y Yafei Dai. "Uncovering User Interaction Dynamics in Online Social Networks". Proceedings of the International AAAI Conference on Web and Social Media 9, n.º 1 (3 de agosto de 2021): 698–701. http://dx.doi.org/10.1609/icwsm.v9i1.14654.
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Measurement studies of online social networks (OSNs)show that all social links are not equal, and the strength of each link is best characterized by the frequency of interactions between the linked users. To date, few studieshave been able to examine detailed interactiondata over time. In this paper, we first analyze the interaction dynamics in a large online social network. We find that users invite new friends to interact at a nearly constant rate, prefer to continue interacting with friends with whom they have a larger number of historical interactions,and most social links drop in interaction frequency over time. Then, we use our insights from the analysis to derive a generative model of social interactionsthat can capture fundamental processes underlinguser interactions.
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Malenov, Dusan y Snezana Zaric. "Parallel interactions of aromatic and heteroaromatic molecules". Chemical Industry 70, n.º 6 (2016): 649–59. http://dx.doi.org/10.2298/hemind151009003m.
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Parallel interactions of aromatic and heteroaromatic molecules are very important in chemistry and biology. In this review, recent findings on preferred geometries and interaction energies of these molecules are presented. Benzene and pyridine were used as model systems for studying aromatic and heteroaromatic molecules, respectively. Searches of Cambridge Structural Database show that both aromatic and heteroaromatic molecules prefer interacting at large horizontal displacements, even though previous calculations showed that stacking interactions (with offsets of about 1.5 ?) are the strongest. Calculations of interaction energies at large horizontal displacements revealed that the large portion of interaction energy is preserved even when two molecules do not overlap. These substantial energies, as well as the possibility of forming larger supramolecular structures, make parallel interactions at large horizontal displacements more frequent in crystal structures than stacking interactions.
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Erofeeva, Tat’yana A. "Business Value Formation Process as a System of Economic Interactions". Economic Strategies 152, n.º 6 (25 de diciembre de 2022): 134–41. http://dx.doi.org/10.33917/es-6.186.2022.134-141.
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In the article, the process of establishing the cost of modern business is considered as a system of economic interactions between economic entities. The study presents the author's concept of the economic interactions’ typology. The author distinguishes atomistic, organic and harmonic types of economic interactions and comes to the conclusion that each of them corresponds to a certain interaction model (traditional industrial model, network model). Within each of them a mechanism of interaction, expectations, and conflict resolution is formed. Different types of economic interaction coexist simultaneously and not always in a coordinated manner. They are often intertwined. Economic subjects use a differentiated approach when interacting with each other. The focus of business strategy is shifting from internal optimization processes to coordinating external interactions, from increasing customer value to maximizing ecosystem value.
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Sada, Hikaru, Makoto Kajizono, Yoshihisa Kitamura y Toshiaki Sendo. "Drug interaction (35. Opioid-analgesic drug interactions)". Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 128, n.º 1 (2016): 53–59. http://dx.doi.org/10.4044/joma.128.53.
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Spiro, Howard M. "Drug interactions—Clinical significance of drug interaction". Gastroenterology 97, n.º 3 (septiembre de 1989): 808. http://dx.doi.org/10.1016/0016-5085(89)90671-9.
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Kimura, Ikuya, Hirofumi Hamano, Makoto Kajizono y Yoshito Zamami. "Drug interaction (58. Drug interactions in tacrolimus)". Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 135, n.º 3 (1 de diciembre de 2023): 167–71. http://dx.doi.org/10.4044/joma.135.167.
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Yang, Huiying, Yuehua Ke, Jian Wang, Yafang Tan, Sebenzile K. Myeni, Dong Li, Qinghai Shi et al. "Insight into Bacterial Virulence Mechanisms against Host Immune Response via the Yersinia pestis-Human Protein-Protein Interaction Network". Infection and Immunity 79, n.º 11 (12 de septiembre de 2011): 4413–24. http://dx.doi.org/10.1128/iai.05622-11.
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ABSTRACTAYersinia pestis-human protein interaction network is reported here to improve our understanding of its pathogenesis. Up to 204 interactions between 66Y. pestisbait proteins and 109 human proteins were identified by yeast two-hybrid assay and then combined with 23 previously published interactions to construct a protein-protein interaction network. Topological analysis of the interaction network revealed that human proteins targeted byY. pestiswere significantly enriched in the proteins that are central in the human protein-protein interaction network. Analysis of this network showed that signaling pathways important for host immune responses were preferentially targeted byY. pestis, including the pathways involved in focal adhesion, regulation of cytoskeleton, leukocyte transendoepithelial migration, and Toll-like receptor (TLR) and mitogen-activated protein kinase (MAPK) signaling. Cellular pathways targeted byY. pestisare highly relevant to its pathogenesis. Interactions with host proteins involved in focal adhesion and cytoskeketon regulation pathways could account for resistance ofY. pestisto phagocytosis. Interference with TLR and MAPK signaling pathways byY. pestisreflects common characteristics of pathogen-host interaction that bacterial pathogens have evolved to evade host innate immune response by interacting with proteins in those signaling pathways. Interestingly, a large portion of human proteins interacting withY. pestis(16/109) also interacted with viral proteins (Epstein-Barr virus [EBV] and hepatitis C virus [HCV]), suggesting that viral and bacterial pathogens attack common cellular functions to facilitate infections. In addition, we identified vasodilator-stimulated phosphoprotein (VASP) as a novel interaction partner of YpkA and showed that YpkA could inhibitin vitroactin assembly mediated by VASP.
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الصميدعي, منيرة. "Social Interaction of Kindergarten Children". International Journal of Educational Sciences and Arts 2, n.º 4 (2023): 10–41. http://dx.doi.org/10.59992/ijesa.2023.v2n4p1.
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Human beings are social creatures, and their existence is tied to their interactions with others, whether these interactions are positive or negative. One can devote much of their life to helping others, or live selfishly and prioritize their personal interests. Social interaction in any society is influenced by the psychological, social, and political conditions that the society experiences. The more a climate of warmth, empathy, and stability prevails, the more positive the relationships between individuals will be, and the opposite leads to negative relationships. Today, our Iraqi society needs social cohesion and positive relationships between its members more than ever, due to the unjust economic blockade that the country suffers from, which has led to negative behavior and attitudes among its youth. Ethics are the guardian of the individual and the foundation of a civilized society. It is not enough for the teacher to guide individuals on virtues, as a good education requires a long process of continuous commitment, and depends largely on a good family environment. The current research aims to identify the aspects of social interaction among preschool children and to clarify the importance of social interaction. Children begin interacting from the earliest days of their lives, and this interaction grows until the preschool stage, where they acquire the ability to communicate effectively.
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Islam, Md Shahidul. "Cefixime and Metals Complex Interaction: A systemic review on Drug-metals interaction". Pharmaceutics and Pharmacology Research 3, n.º 1 (5 de octubre de 2020): 01–03. http://dx.doi.org/10.31579/2693-7247013.
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The review study work comprises of interaction studies of cefixime with different group of drugs and metals to know about the alteration in pharmacological activity of cefixime by other drugs or vice versa. Cefixime is included among the cephalosporin third generation drug class which is active against a wide range of Gram positive and Gram negative bacteria. Since the presence of different therapeutic class of drugs like cefixime may affect the bioavailability as well as pharmacokinetics of other drugs and metal in the blood or tissues, therefore in order to study the potential interaction of cefixime with different therapeutic class of drugs and metals which can show several type of toxicity or may develop drug resistance in the body is the main reason to perform this study. About 102 articles were screened from different databases related to Cefixime and its interaction for this review. This review study claims that there is a possible interaction between cefixime and other drugs& metals which are confirmed by different method like GLC, HPLC, and Disk Diffusion Method. Drug resistance and unwanted adverse drug reactions are a common thing for different underlying factors which becomes an alarming issue. That’s why this is significant.
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Shahidul Islam, Md y Farzana Yesmin. "Cefixime and Metals Complex Interaction: A systemic review on Drug-metals interaction". Pharmaceutics and Pharmacology Research 3, n.º 1 (5 de octubre de 2020): 01–03. http://dx.doi.org/10.31579/2693-7247/013.
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The review study work comprises of interaction studies of cefixime with different group of drugs and metals to know about the alteration in pharmacological activity of cefixime by other drugs or vice versa. Cefixime is included among the cephalosporin third generation drug class which is active against a wide range of Gram positive and Gram negative bacteria. Since the presence of different therapeutic class of drugs like cefixime may affect the bioavailability as well as pharmacokinetics of other drugs and metal in the blood or tissues, therefore in order to study the potential interaction of cefixime with different therapeutic class of drugs and metals which can show several type of toxicity or may develop drug resistance in the body is the main reason to perform this study. About 102 articles were screened from different databases related to Cefixime and its interaction for this review. This review study claims that there is a possible interaction between cefixime and other drugs& metals which are confirmed by different method like GLC, HPLC, and Disk Diffusion Method. Drug resistance and unwanted adverse drug reactions are a common thing for different underlying factors which becomes an alarming issue. That’s why this is significant.
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Bitbol, Anne-Florence, Robert S. Dwyer, Lucy J. Colwell y Ned S. Wingreen. "Inferring interaction partners from protein sequences". Proceedings of the National Academy of Sciences 113, n.º 43 (23 de septiembre de 2016): 12180–85. http://dx.doi.org/10.1073/pnas.1606762113.
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Specific protein−protein interactions are crucial in the cell, both to ensure the formation and stability of multiprotein complexes and to enable signal transduction in various pathways. Functional interactions between proteins result in coevolution between the interaction partners, causing their sequences to be correlated. Here we exploit these correlations to accurately identify, from sequence data alone, which proteins are specific interaction partners. Our general approach, which employs a pairwise maximum entropy model to infer couplings between residues, has been successfully used to predict the 3D structures of proteins from sequences. Thus inspired, we introduce an iterative algorithm to predict specific interaction partners from two protein families whose members are known to interact. We first assess the algorithm’s performance on histidine kinases and response regulators from bacterial two-component signaling systems. We obtain a striking 0.93 true positive fraction on our complete dataset without any a priori knowledge of interaction partners, and we uncover the origin of this success. We then apply the algorithm to proteins from ATP-binding cassette (ABC) transporter complexes, and obtain accurate predictions in these systems as well. Finally, we present two metrics that accurately distinguish interacting protein families from noninteracting ones, using only sequence data.
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Rakushin Lee, Andrea y Daniel Ryan Bailey. "Examining South Korean University Students’ Interactions with International Students". Asian Journal of University Education 16, n.º 3 (18 de octubre de 2020): 43. http://dx.doi.org/10.24191/ajue.v16i3.8622.
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This mixed method case study examines South Korean university students’ interactions with international students. Data included a closed-ended survey, an open-ended survey, and a focus group. Participants comprised university students studying at a mid-sized university in central South Korea. Results indicate that students generally feel indifferent about interacting with international students and stated that communication barriers and lack of contributions of international students on assignments leads to less interaction. Quantitative data also reveals a lack of interest in interacting with international students. To improve interaction, students recommended providing more opportunities to communicate in the classroom and taking intercultural communication classes to increase understanding of diverse cultures. Additionally, students recommended sharing dorm rooms with international students, creating more social activities for interaction, and developing language, culture, and mentoring programs. Various practical and theoretical implications are discussed to help improve social interactions and increase intercultural communication on campus.
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Mackey, Alison, Susan Gass y Kim McDonough. "HOW DO LEARNERS PERCEIVE INTERACTIONAL FEEDBACK?" Studies in Second Language Acquisition 22, n.º 4 (diciembre de 2000): 471–97. http://dx.doi.org/10.1017/s0272263100004010.
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Theoretical claims about the benefits of conversational interaction have been made by Gass (1997), Long (1996), Pica (1994), and others. The Interaction Hypothesis suggests that negotiated interaction can facilitate SLA and that one reason for this could be that, during interaction, learners may receive feedback on their utterances. An interesting issue, which has challenged interactional research, concerns how learners perceive feedback and whether their perceptions affect their subsequent L2 development. The present research addresses the first of these issues–learners' perceptions about interactional feedback. The study, involving 10 learners of English as a second language and 7 learners of Italian as a foreign language, explores learners' perceptions about feedback provided to them through task-based dyadic interaction. Learners received feedback focused on a range of morphosyntactic, lexical, and phonological forms. After completing the tasks, learners watched videotapes of their previous interactions and were asked to introspect about their thoughts at the time the original interactions were in progress. The results showed that learners were relatively accurate in their perceptions about lexical, semantic, and phonological feedback. However, morphosyntactic feedback was generally not perceived as such. Furthermore, the nature as well as the content of the feedback may have affected learners' perceptions.
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Dоmina, Viktoriia, Natalia Gutareva y Julia Sedova. "Formation of Professional Competencies in Future Teachers of Physical Education in the Conditions of Interactive Interaction". Bulletin of Luhansk Taras Shevchenko National University, n.º 7 (338) (2020): 133–40. http://dx.doi.org/10.12958/2227-2844-2020-7(338)-133-140.
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The dynamics of development of the modern world causes progressive changes in education, reflecting the creative search for the most effective forms of organization and technology of learning. Recent studies outline the strategy of practical constructions, involving the education system in the development of the value-semantic sphere of personality on a pedagogical basis. In the offered article the authors consider actual problems of formation of professional competence which is considered as the integrated property of the person possessing a complex of professionally significant for the future teacher of physical culture qualities. The study identified the concept of professional competence of the future teacher, value orientations. The classification of value orientations of the future teacher of physical education which allows to adapt more successfully masters to modern educational processes is proved. The importance of the teacher's value orientations in the modern process of forming the moral beliefs of future teachers is determined. One of the possible ways of forming professional competence in the process of training future physical education teachers through interactive interaction is presented. It is this system of training allows by determining the general laws of psychology and pedagogy, specifying their basic provisions to determine the specifics of coaching.
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Ollerton, Jeff, Duncan McCollin, Daphne G. Fautin y Gerald R. Allen. "Finding NEMO: nestedness engendered by mutualistic organization in anemonefish and their hosts". Proceedings of the Royal Society B: Biological Sciences 274, n.º 1609 (29 de noviembre de 2006): 591–98. http://dx.doi.org/10.1098/rspb.2006.3758.
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The interaction structure of mutualistic relationships, in terms of relative specialization of the partners, is important to understanding their ecology and evolution. Analyses of the mutualistic interaction between anemonefish and their host sea anemones show that the relationship is highly nested in structure, generalist species interacting with one another and specialist species interacting mainly with generalists. This supports the hypothesis that the configuration of mutualistic interactions will tend towards nestedness. In this case, the structure of the interaction is at a much larger scale than previously hypothesized, across more than 180° of longitude and some 60° of latitude, probably owing to the pelagic dispersal capabilities of these species in a marine environment. Additionally, we found weak support for the hypothesis that geographically widespread species should be more generalized in their interactions than species with small ranges. This study extends understanding of the structure of mutualistic relationships into previously unexplored taxonomic and physical realms, and suggests how nestedness analysis can be applied to the conservation of obligate species interactions.
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Lin, C. Y. y C. S. Lin. "Investigation of genotype-environment interaction by cluster analysis in animal experiments". Canadian Journal of Animal Science 74, n.º 4 (1 de diciembre de 1994): 607–12. http://dx.doi.org/10.4141/cjas94-089.
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The conventional ANOVA (F ratio of GE interaction mean squares to error mean square) provides a means to test if GE interaction is significant, but it does not tell us which factor levels are significantly different or how they are interacting. To answer the latter question, plant researchers developed a technique to group genotypes for similarity of GE interactions and through the resulting groups to explore the GE interaction structure. The basic idea of the technique is to stratify genotypes (or environments) into subgroups such that GE interactions among genotypes (or environments) are homogeneous within groups but heterogeneous among groups. This technique is introduced in this paper using an animal experiment as an example for illustration. The possibilities and limitations of applying this technique to animal data are also discussed. Key words: Genotype-environment interaction, cluster analysis
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Lu, Jincheng, Rongqian Wang, Chen Wang y Jian-Hua Jiang. "Thermoelectric Rectification and Amplification in Interacting Quantum-Dot Circuit-Quantum-Electrodynamics Systems". Entropy 25, n.º 3 (14 de marzo de 2023): 498. http://dx.doi.org/10.3390/e25030498.
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Thermoelectric rectification and amplification were investigated in an interacting quantum-dot circuit-quantum-electrodynamics system. By applying the Keldysh nonequilibrium Green’s function approach, we studied the elastic (energy-conserving) and inelastic (energy-nonconserving) transport through a cavity-coupled quantum dot under the voltage biases in a wide spectrum of electron–electron and electron–photon interactions. While significant charge and Peltier rectification effects were found for strong light–matter interactions, the dependence on electron–electron interaction could be nonmonotonic and dramatic. Electron–electron interaction-enhanced transport was found under certain resonance conditions. These nontrivial interaction effects were found in both linear and nonlinear transport regimes, which manifested in charge and thermal currents, rectification effects, and the linear thermal transistor effect.
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Acosta Ortega, Laura. "La reparación en la interacción oral de estudiantes de ELE: comparación entre interacciones de práctica en el aula e interacciones en contextos de evaluación". Pragmática Sociocultural / Sociocultural Pragmatics 5, n.º 2 (27 de noviembre de 2017): 219–50. http://dx.doi.org/10.1515/soprag-2017-0018.
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AbstractBased on the concept of interactional competence (Hellermann, 2008; Seedhouse, 2004; Walsh, 2011; Young, 2008), our study analyzes how learners of Spanish as a foreign language in a B2 level manage repair in oral interaction in language classrooms. We understand repair as “the treatment of trouble in talk-in-interaction” (Young, 2008, p. 49). A corpus of eleven interactions between students in the classroom is analyzed through the perspective of Conversation Analysis. The interactions were collected in different kinds of tasks in the language classroom. In our analysis we compare interactions produced in practice activities and interactions collected during assessment. The findings in this study show a tendency to manage repair in classroom oral interaction as it would be done in normal conversation. Regarding the different contexts of our corpus, we observe that, in interactions produced in assessment contexts, speakers try to protect their interlocutor’s face and their own face by avoiding to make repairs.
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Rieser, Jakob, Mario A. Ciampini, Henning Rudolph, Nikolai Kiesel, Klaus Hornberger, Benjamin A. Stickler, Markus Aspelmeyer y Uroš Delić. "Tunable light-induced dipole-dipole interaction between optically levitated nanoparticles". Science 377, n.º 6609 (26 de agosto de 2022): 987–90. http://dx.doi.org/10.1126/science.abp9941.
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Arrays of optically trapped nanoparticles have emerged as a platform for the study of complex nonequilibrium phenomena. Analogous to atomic many-body systems, one of the crucial ingredients is the ability to precisely control the interactions between particles. However, the optical interactions studied thus far only provide conservative optical binding forces of limited tunability. In this work, we exploit the phase coherence between the optical fields that drive the light-induced dipole-dipole interaction to couple two nanoparticles. In addition, we effectively switch off the optical interaction and observe electrostatic coupling between charged particles. Our results provide a route to developing fully programmable many-body systems of interacting nanoparticles with tunable nonreciprocal interactions, which are instrumental for exploring entanglement and topological phases in arrays of levitated nanoparticles.
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Espinosa, María Paz, Jaromír Kovářík y Giovanni Ponti. "Strategic interaction and conventions". Revista Internacional de Sociología 70, Extra_1 (13 de febrero de 2012): 15–26. http://dx.doi.org/10.3989/ris.2011.07.14.
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Chaichitwanidchakol, Pitsanu y Witcha Feungchan. "Exploring Mobile Game Interactions". International Journal of Electrical and Computer Engineering (IJECE) 8, n.º 5 (1 de octubre de 2018): 3954. http://dx.doi.org/10.11591/ijece.v8i5.pp3954-3965.
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The mobile game industry has been growing rapidly in both the number of games and revenues. Choosing the right interactions for a game has become a major challenge for developers. Some developers use inappropriate interactions in their games which causes them to be less fun than they should be. This research focuses on gathering and defining possible mobile game interactions so as to guide and enable designers and developers to choose the right interactions for their games. The researchers have extensively reviewed and explored various mobile game interactions both through research studies and through existing mobile games. Subsequent to observations, mobile game interactions were then categorized as follows: 1) Touch interaction 2) Motion/Movement interaction 3) Video interaction 4) Sound interaction 5) Special purpose interaction 6) Location interaction 7) Electroencep-halography (EEG) interaction 8) Date/Time interaction 9) Weather interaction 10) Light interaction 11) Proximity interaction 12) Network interaction 13) Social interaction and 14) Bioinformatics interaction. These 14 interactions can be used to support gameplay, ideas, and innovation of mobile games.
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Navaz, Abdul Majeed Mohamed. "Developing Interaction in ESL Classes: An Investigation of Teacher-Student Interaction of Teacher Trainees in a Sri Lankan University". International Journal of Learning, Teaching and Educational Research 20, n.º 2 (28 de febrero de 2021): 174–96. http://dx.doi.org/10.26803/ijlter.20.2.10.
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This study examines the possibility of using of IRF (Initiation-Response-Follow-up) sequence of teacher-student interaction in Sri Lankan ESL (English as a Second Language) classes for developing longer interactional exchanges which are believed to be useful for language development. Usually, in Sri Lankan ESL classes, teachers ask more display questions and a few referential questions. As a result, teacher-student interaction occurs only occasionally and they follow the traditional IRF pattern with an evaluation at the third move. Teachers could develop longer interactional exchanges by giving follow-up questions or prompts at the third move of the IRF sequence so that students respond, elaborate, explain or prolong their responses. This study examines how the teacher trainees on their teaching practice of a TESL degree programme at a university interacted with their students in ESL classes and how they changed their pattern of interaction to sustain more student interaction. Using lecture discourse data as the basis of the analysis, this study evaluated the changes after an intervention that focussed on training the teacher trainees in developing longer interactional episodes. The results revealed that there was only a slight improvement in the way teacher trainees maintained interactions in the lessons after the intervention. Hence, this study enlightens the possibility of utilizing interaction for language development through intensive teacher training.
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ZHANG, CUILING, LEI TAN y KUNYAN ZHU. "CRITICAL TEMPERATURE OF TRAPPED INTERACTING BOSE GASES". Modern Physics Letters B 23, n.º 12 (20 de mayo de 2009): 1499–507. http://dx.doi.org/10.1142/s021798490901965x.
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A new model is proposed to study the effect of mutual interaction revealed in a recent experiment.1 Unlike conventional Hartree–Fock theory, which only studies onset interactions between indistinguishable interacting bosons, our model further includes the mutual interaction between the condensate component and the thermal component. The derived condensate fraction and transition temperature explain the experimental data in a reliable manner.
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Alder, Marie-Luise. "Das Spiel mit den Erwartungen". Paragrana 27, n.º 1 (28 de agosto de 2018): 338–44. http://dx.doi.org/10.1515/para-2018-0025.
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AbstractThe interactional quality of Pina Bausch’s staged dance performance challenges the perception and the expectations of social interaction that follow it. Through repetition and combinations of words and movements new expectations and new social roles are created. This shows not only how fragile interaction processes can be disturbed but also how we are prone to make sense out of interactions through observation.
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Risberg, Jonas y Gustav Lymer. "Requests and know-how questions: Initiating instruction in workplace interaction". Discourse Studies 22, n.º 6 (1 de octubre de 2020): 753–76. http://dx.doi.org/10.1177/1461445620928239.
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While it is recognized that instruction between co-workers is a central component of everyday workplace interaction and learning, this study investigates the ways in which such instructional events are practically initiated in interaction. We analyse recordings of everyday work at a radio station, where journalists prepare and broadcast local news. In our data, a distinction can be made between two interactional contexts from which instructional interactions emerge: searches, where one party is looking for a suitable helper; and established interactions, where the initiation of instruction is prefigured by immediate prior interaction. A further finding is that these two contexts are associated with two different ways of initiating instruction. Direct requests are used in established interactions. In searches, we instead find questions regarding the other person’s procedural knowledge – what we term know-how questions. We finally discuss the ways in which instructional configurations are assembled without reference to institutionally defined instructor/instructed roles.
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Rosino, Michael L. "Dramaturgical Domination". Humanity & Society 41, n.º 2 (24 de diciembre de 2015): 158–81. http://dx.doi.org/10.1177/0160597615623042.
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The history of racial domination in the United States is multifaceted and therefore cannot be explained through simple reference to ideologies or institutional structures. At the microlevel, racial domination is reproduced through social interactions. In this article, I draw on Erving Goffman’s dramaturgical approach to social interaction to illuminate the development of the racialized interaction order whereby actors racialized as white impose a set of implicit rules and underlying assumptions onto interracial interactions. I examine archetypal instances of racialized social interactions in America’s history and present-day to reveal the role of social interactions in racially structuring social institutions and everyday lives. First, I discuss the development and racialization of chattel slavery and its routinization as an interaction order. Next, I explore the dramaturgical and symbolic significance of the postbellum emergence and spread of racial terrorism such as white lynch mobs. I then analyze the contemporary discursive and performative strategies of white racial dominance and aspects of the contemporary racialized interaction order such as the de facto racialization of spatial boundaries, mass media and the digital sphere, and police violence. I conclude by discussing the significance of interactional analysis for understanding the present racialized social system.