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Articoli di riviste sul tema "Interaction"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Kulharia, Mahesh. "Geometrical and electro-static determinants of protein-protein interactions." Bioinformation 17, no. 10 (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-redunda

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KURNIASARI, CECILIA INDRI. "Social Interaction on Patients with Schizophrenia in Psychiatric Hospital." Jurnal Ilmiah Kesehatan Keperawatan 15, no. 2 (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

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3

Gándara Vázquez, Manuel. "Interacción e interactividad: Manual de museografía interactiva." Intervención Revista Internacional de Conservación Restauración y Museología 1, no. 1 (2010): 75–77. http://dx.doi.org/10.30763/intervencion.2013.7.91.

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4

DeBlasio, Stacy L., Juan D. Chavez, Mariko M. Alexander, et al. "Visualization of Host-Polerovirus Interaction Topologies Using Protein Interaction Reporter Technology." Journal of Virology 90, no. 4 (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, topologica

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Hong, Fuxing, Dongbo Huang, and Ge Chen. "Interaction-Aware Factorization Machines for Recommender Systems." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 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 a

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Pires, Mathias M., and Paulo R. Guimarães. "Interaction intimacy organizes networks of antagonistic interactions in different ways." Journal of The Royal Society Interface 10, no. 78 (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 mo

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7

Pancheva, Alexandrina, Helen Wheadon, Simon Rogers, and Thomas D. Otto. "Using topic modeling to detect cellular crosstalk in scRNA-seq." PLOS Computational Biology 18, no. 4 (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 o

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8

Jordano, Pedro. "The Biodiversity of Ecological Interactions: Challenges for recording and documenting the Web of Life." Biodiversity Information Science and Standards 5 (September 21, 2021): e75564. https://doi.org/10.3897/biss.5.75564.

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Biodiversity is more than a collection of individual species. It is the combination of biological entities and processes supporting life on Earth: no single species persists without interacting with other species. A full account of biodiversity on Earth needs to document the essential ecological interactions that support Earth's system through their functional outcomes. Quantifying biodiversity's interactome (the whole suite of interactions among biotic organisms) is challenging not just because of the daunting task of describing ecosystem complexity, it's also limited by the need to define an

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9

Curtis, Aaron A., Yajun Yu, Megan Carey, Yildiz E. Yilmaz, and Sevtap Savas. "A genome-wide SNP-SNP interaction analysis exploring novel interacting loci associated with the risk of recurrence in colorectal cancer." PLOS One 20, no. 6 (2025): e0321967. https://doi.org/10.1371/journal.pone.0321967.

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Background Genetic factors can influence and predict patient outcomes. The association of interactions of germline SNPs with patient outcomes is an understudied area of prognostic research. In this study, we applied the first genome-wide SNP-SNP interaction analysis in relation to colorectal cancer outcomes. Objectives Our objective was to explore interacting SNP loci at the genome-wide level that predict the risk of local or distant recurrence (RMFS) in a cohort of stage I-III colorectal cancer patients from the Canadian province of Newfoundland and Labrador. Methods The patient cohort consis

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10

Hara, Kodai, Masayuki Uchida, Risa Tagata, et al. "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, no. 4 (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 o

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11

Kawashima, Rieko, Hisashi Matsunaga, and Toshiaki Sendo. "Drug interaction (22. opioid-drug interactions)." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 123, no. 3 (2011): 239–41. http://dx.doi.org/10.4044/joma.123.239.

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12

Minati, Gianfranco. "Interactions and Interaction Mechanisms as Generators of Complex Systems." PROOF 2 (March 21, 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 appropri

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13

Sun, Zheng, Shihao Li, Fuhua Li, and 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.

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14

Duan, Qingyu, Mengli Liang, and Xiaoguang Wang. "The Human‐Data Interaction Driven by Data Reuse." Proceedings of the Association for Information Science and Technology 61, no. 1 (2024): 905–7. http://dx.doi.org/10.1002/pra2.1135.

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ABSTRACTThe data‐intensive research paradigm is sweeping through the scientific community, and new interaction challenges for interacting with data have emerged. Data reuse emerges as a critical driver of human‐data interaction, positioning data repositories at the forefront as the optimal solution for facilitating this process. This study adopts a diary study methodology to analyze the data repository‐supported human‐data interaction behaviors driven. The findings reveal that human‐data interaction extends beyond mere engagement with data, encapsulating elements of human‐computer interaction,

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15

Luo, Chengyi, Haoqing Zhang, Vanessa P. W. Koh, et al. "Momentum-exchange interactions in a Bragg atom interferometer suppress Doppler dephasing." Science 384, no. 6695 (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 i

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16

Marcus, Stav, Ari M. Turner, and Guy Bunin. "Local and collective transitions in sparsely-interacting ecological communities." PLOS Computational Biology 18, no. 7 (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 mor

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17

Huang, Cheng-Hsin, Tong Wai Wong, Chen-Hsu Yu та ін. "Swapping the Positions in a Cross-Strand Lateral Ion-Pairing Interaction between Ammonium- and Carboxylate-Containing Residues in a β-Hairpin". Molecules 26, № 5 (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 u

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18

Lee, Nicole, and Trent Seltzer. "Vicarious interaction." Journal of Communication Management 22, no. 3 (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 organizatio

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19

Michal, Vincent P., Igor L. Aleiner, Boris L. Altshuler, and Georgy V. Shlyapnikov. "Finite-temperature fluid–insulator transition of strongly interacting 1D disordered bosons." Proceedings of the National Academy of Sciences 113, no. 31 (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

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20

Yashin, Anatoliy, Dequing Wu, Konstantin Arbeev, et al. "Role of Genetic Interactions in Alzheimer’s Disease: Lessons from Long Life Family Study (LLFS)." Innovation in Aging 4, Supplement_1 (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

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21

Malenov, Dusan, and Snezana Zaric. "Parallel interactions of aromatic and heteroaromatic molecules." Chemical Industry 70, no. 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 stronges

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22

Erofeeva, Tat’yana A. "Business Value Formation Process as a System of Economic Interactions." Economic Strategies 152, no. 6 (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 s

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23

Han, Ying, Liang Cheng, and Weiju Sun. "Analysis of Protein-Protein Interaction Networks through Computational Approaches." Protein & Peptide Letters 27, no. 4 (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

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Batool, Zakia, Waqas Munir, Mohsin Abbas, Umar Waqs Khan, and Mahwish Rabia. "Bayesian approach: an alternative to the additive main effect and multiplicative interaction models for genotypes through environmental interactions." Nativa 12, no. 4 (2024): 597–604. https://doi.org/10.31413/nat.v12i4.17484.

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Genotypes of different genetic structures behave differently in various environmental conditions. Genotype-by-environment interaction (GEI) is referred to as differential responses of different genotypes across different environments; GEI is of great importance because of the higher performance of genotypes that GEI assesses. However, the presence of GEI makes analysis more complicated. To up-root these assessment complications, several methods have been proposed, such as Principal Component Analysis (PCA), Cluster Analysis, Additive Main effects, Multiplicative Interaction (AMMI) models, and

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GUO, HUAIMING, and SHUN-QING SHEN. "EFFECT OF INTERACTION IN ONE-DIMENSIONAL TOPOLOGICAL INSULATOR." International Journal of Modern Physics B 27, no. 07 (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 experim

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DING, HANQIN, and JUN ZHANG. "EFFECT OF CORRELATED-HOPPING INTERACTION ON A ONE-DIMENSIONAL EXTENDED HUBBARD MODEL WITH SPIN-EXCHANGE INTERACTION." Modern Physics Letters B 26, no. 07 (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 inte

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27

Yang, Huiying, Yuehua Ke, Jian Wang, et al. "Insight into Bacterial Virulence Mechanisms against Host Immune Response via the Yersinia pestis-Human Protein-Protein Interaction Network." Infection and Immunity 79, no. 11 (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 t

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Yang, Zhi, Jilong Xue, Christo Wilson, Ben Zhao, and Yafei Dai. "Uncovering User Interaction Dynamics in Online Social Networks." Proceedings of the International AAAI Conference on Web and Social Media 9, no. 1 (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 interact

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Sada, Hikaru, Makoto Kajizono, Yoshihisa Kitamura, and Toshiaki Sendo. "Drug interaction (35. Opioid-analgesic drug interactions)." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 128, no. 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, no. 3 (1989): 808. http://dx.doi.org/10.1016/0016-5085(89)90671-9.

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Kimura, Ikuya, Hirofumi Hamano, Makoto Kajizono, and Yoshito Zamami. "Drug interaction (58. Drug interactions in tacrolimus)." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 135, no. 3 (2023): 167–71. http://dx.doi.org/10.4044/joma.135.167.

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Rakushin Lee, Andrea, and Daniel Ryan Bailey. "Examining South Korean University Students’ Interactions with International Students." Asian Journal of University Education 16, no. 3 (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

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Pavlovych, Maryna. "INTERACTIVE TECHNOLOGY USAGE IN THE FUTURE TRANSLATORS’ TRAINING AS A PLEDGE OF SUCCESSFUL INTERCULTURAL INTERACTION." Bulletin of Alfred Nobel University Series "Pedagogy and Psychology» 1, no. 27 (2024): 178–84. http://dx.doi.org/10.32342/2522-4115-2024-1-27-19.

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The article considers the issue and expediency of organizing interactive training in the process of future translators’ training for intercultural interaction in Ukrainian higher education institutions. The article aims to investigate and define the essence and specifics of interactive technologies in the educational process; to establish the conditions for their use in forming the professional identity and skills in the training of translators as specialists in intercultural communication. The research used content and terminological analysis, comparison, classification, and modelling methods

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Ollerton, Jeff, Duncan McCollin, Daphne G. Fautin, and Gerald R. Allen. "Finding NEMO: nestedness engendered by mutualistic organization in anemonefish and their hosts." Proceedings of the Royal Society B: Biological Sciences 274, no. 1609 (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 s

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Lin, C. Y., and C. S. Lin. "Investigation of genotype-environment interaction by cluster analysis in animal experiments." Canadian Journal of Animal Science 74, no. 4 (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 hom

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Lu, Jincheng, Rongqian Wang, Chen Wang, and Jian-Hua Jiang. "Thermoelectric Rectification and Amplification in Interacting Quantum-Dot Circuit-Quantum-Electrodynamics Systems." Entropy 25, no. 3 (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 nonmonot

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Chaichitwanidchakol, Pitsanu, and Witcha Feungchan. "Exploring Mobile Game Interactions." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (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

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Pitsanu, Chaichitwanidchakol, and Feungchan Witcha. "Exploring Mobile Game Interactions." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3954–65. https://doi.org/10.11591/ijece.v8i5.pp3954-3965.

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Abstract (sommario):

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

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39

ZHANG, CUILING, LEI TAN, and KUNYAN ZHU. "CRITICAL TEMPERATURE OF TRAPPED INTERACTING BOSE GASES." Modern Physics Letters B 23, no. 12 (2009): 1499–507. http://dx.doi.org/10.1142/s021798490901965x.

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Abstract (sommario):

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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40

الصميدعي, منيرة. "Social Interaction of Kindergarten Children." International Journal of Educational Sciences and Arts 2, no. 4 (2023): 10–41. http://dx.doi.org/10.59992/ijesa.2023.v2n4p1.

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Abstract (sommario):

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 n

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Bitbol, Anne-Florence, Robert S. Dwyer, Lucy J. Colwell, and Ned S. Wingreen. "Inferring interaction partners from protein sequences." Proceedings of the National Academy of Sciences 113, no. 43 (2016): 12180–85. http://dx.doi.org/10.1073/pnas.1606762113.

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Abstract (sommario):

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 pre

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42

Rieser, Jakob, Mario A. Ciampini, Henning Rudolph, et al. "Tunable light-induced dipole-dipole interaction between optically levitated nanoparticles." Science 377, no. 6609 (2022): 987–90. http://dx.doi.org/10.1126/science.abp9941.

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Abstract (sommario):

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 interact

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43

Esrafili, Mehdi, and Parisasadat Mousavian. "Strong Tetrel Bonds: Theoretical Aspects and Experimental Evidence." Molecules 23, no. 10 (2018): 2642. http://dx.doi.org/10.3390/molecules23102642.

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Abstract (sommario):

In recent years, noncovalent interactions involving group-14 elements of the periodic table acting as a Lewis acid center (or tetrel-bonding interactions) have attracted considerable attention due to their potential applications in supramolecular chemistry, material science and so on. The aim of the present study is to characterize the geometry, strength and bonding properties of strong tetrel-bond interactions in some charge-assisted tetrel-bonded complexes. Ab initio calculations are performed, and the results are supported by the quantum theory of atoms in molecules (QTAIM) and natural bond

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44

Nguyễn Phục, Hưng, Thùy Lương Kim, Hương Võ Thị Mỹ та Hà Phan Vũ Thu. "Nghiên cứu xây dựng danh mục tương tác thuốc trong điều trị ngoại trú tại Bệnh viện Da liễu Cần Thơ năm 2020". VietNam Military Medical Unisversity 47, № 5-2022 (2022): 7–18. http://dx.doi.org/10.56535/jmpm.v2022050801.

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Abstract (sommario):

Objectives: To construct a clinically significant drug interaction list occurring in outpatient prescriptions and to investigate factors related to drug interactions. Subjects and methods: A descriptive, cross-sectional study on 1,210 prescriptions of 1,210 outpatients from 1st June to 1st December 2020. Results: Characteristics of drug use: The number of times of drugs prescribed is 3,424, the average number of drugs in a prescription is 3.28 ± 0.851 (ranging from 2 - 6 drugs); the number of prescriptions with 2 - 3 drugs accounted for the most with 731 prescriptions (60.4%,), number of presc

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45

Nguyễn Phụ, Hưng. "Nghiên cứu xây dựng danh mục tương tác thuốc trong điều trị ngoại trú tại Bệnh viện Da liễu Cần Thơ năm 2020". VietNam Military Medical Unisversity 47, № 05-2022 (2022): 7–18. http://dx.doi.org/10.56535/jmpm.v202205011.

Testo completo

Abstract (sommario):

Objectives: To construct a clinically significant drug interaction list occurring in outpatient prescriptions and to investigate factors related to drug interactions. Subjects and methods: A descriptive, cross-sectional study on 1,210 prescriptions of 1,210 outpatients from 1st June to 1st December 2020. Results: Characteristics of drug use: The number of times of drugs prescribed is 3,424, the average number of drugs in a prescription is 3.28 ± 0.851 (ranging from 2 - 6 drugs); the number of prescriptions with 2 - 3 drugs accounted for the most with 731 prescriptions (60.4%,), number of presc

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46

EZAWA, Z. F., and A. IWAZAKI. "DERIVATION OF LAUGHLIN'S WAVEFUNCTION IN ANYON SYSTEM." Modern Physics Letters B 06, no. 12 (1992): 737–45. http://dx.doi.org/10.1142/s0217984992000818.

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Abstract (sommario):

In a semiclassical approximation we derive the ground-state wavefunction of the system of anyons in an external magnetic field, where anyons are interacting via the Coulomb interaction. The statistical interactions are treated in perturbation around the boson limit. The wavefunction coincides with the Laughlin wavefunction except for small corrections due to the Coulomb interaction. We also calculate the ground-state energy and the excitation spectrum.

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47

Hu, Yang, Ying Zhang, Jun Ren, Yadong Wang, Zhenzhen Wang, and Jun Zhang. "Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network." BioMed Research International 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5313050.

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Abstract (sommario):

The overall goal is to establish a reliable human protein-protein interaction network and develop computational tools to characterize a protein-protein interaction (PPI) network and the role of individual proteins in the context of the network topology and their expression status. A novel and unique feature of our approach is that we assigned confidence measure to each derived interacting pair and account for the confidence in our network analysis. We integrated experimental data to infer human PPI network. Our model treated the true interacting status (yes versus no) for any given pair of hum

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48

Ge, Beikang, Zhen Zhang, and Zhong Zuo. "Updates on the Clinical Evidenced Herb-Warfarin Interactions." Evidence-Based Complementary and Alternative Medicine 2014 (2014): 1–18. http://dx.doi.org/10.1155/2014/957362.

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Abstract (sommario):

Increasing and inadvertent use of herbs makes herb-drug interactions a focus of research. Concomitant use of warfarin, a highly efficacious oral anticoagulant, and herbs causes major safety concerns due to the narrow therapeutic window of warfarin. This paper presents an update overview of clinical findings regarding herb-warfarin interaction, highlighting clinical outcomes, severity of documented interactions, and quality of clinical evidence. Among thirty-eight herbs, Cannabis, Chamomile, Cranberry, Garlic, Ginkgo, Grapefruit, Lycium, Red clover, and St. John’s wort were evaluated to have ma

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49

Anđelić, Nikola, Sandi Baressi Baressi Šegota, Matko Glučina, and Zlatan Car. "Estimation of Interaction Locations in Super Cryogenic Dark Matter Search Detectors Using Genetic Programming-Symbolic Regression Method." Applied Sciences 13, no. 4 (2023): 2059. http://dx.doi.org/10.3390/app13042059.

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Abstract (sommario):

The Super Cryogenic Dark Matter Search (SuperCDMS) experiment is used to search for Weakly Interacting Massive Particles (WIMPs)—candidates for dark matter particles. In this experiment, the WIMPs interact with nuclei in the detector; however, there are many other interactions (background interactions). To separate background interactions from the signal, it is necessary to measure the interaction energy and to reconstruct the location of the interaction between WIMPs and the nuclei. In recent years, some research papers have been investigating the reconstruction of interaction locations using

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50

Islam, Md Shahidul. "Cefixime and Metals Complex Interaction: A systemic review on Drug-metals interaction." Pharmaceutics and Pharmacology Research 3, no. 1 (2020): 01–03. http://dx.doi.org/10.31579/2693-7247013.

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Abstract (sommario):

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

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