Relevant bibliographies by topics / Microclusters

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

Academic literature on the topic 'Microclusters'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Microclusters"

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Campi, Gabriele, Rajat Varma, and Michael L. Dustin. "Actin and agonist MHC–peptide complex–dependent T cell receptor microclusters as scaffolds for signaling." Journal of Experimental Medicine 202, no. 8 (October 10, 2005): 1031–36. http://dx.doi.org/10.1084/jem.20051182.

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T cell receptor (TCR) microclusters form within seconds of T cell contact with supported planar bilayers containing intercellular adhesion molecule-1 and agonist major histocompatibility complex (MHC)–peptide complexes, and elevation of cytoplasmic Ca2+ is observed within seconds of the first detectable microclusters. At 0–30 s after contact, TCR microclusters are colocalized with activated forms of Lck, ZAP-70, and the linker for activation of T cells. By 2 min, activated kinases are reduced in the older central microclusters, but are abundant in younger peripheral microclusters. By 5 min, TCR in the central supramolecular activation cluster have reduced activated kinases, whereas faint peripheral TCR microclusters efficiently generated activated Lck and ZAP-70. TCR microcluster formation is resistant to inhibition by Src family kinase inhibitor PP2, but is abrogated by actin polymerization inhibitor latrunculin A. We propose that Src kinase–independent formation of TCR microclusters in response to agonist MHC–peptide provides an actin-dependent scaffold for signal amplification.
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Yu-Yang, Paul, A. Reddy, and Subhadip Raychaudhuri. "The effect of B cell receptor affinity on lipid mediated B cell receptor antigen microclustering (109.1)." Journal of Immunology 186, no. 1_Supplement (April 1, 2011): 109.1. http://dx.doi.org/10.4049/jimmunol.186.supp.109.1.

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Abstract After encountering antigens (Ags), B-cell receptors(BCRs) with bound Ags assemble into microclusters then into a macrocluster. BCR recognition of antigen results in a monotonically increasing graded signaling response with increasing affinity for Ag, a robust feature that seems to be characterizing BCR-Ag affinity discrimination. Recent experiments indicate an important role of very early (within seconds) signaling events, such as formation of BCR-Ag microclusters, in this affinity discrimination process. Our current studies improve upon our most recent biophysical models for BCR-Ag microcluster and macrocluster formation by incorporating lipid-mediated BCR attraction factors. We examine the effect of (a) lipid and BCR concentration, and (b) varying attractive forces between different lipid and BCR pairings. Our studies indicate that a weak attraction between pairs of BCR molecules does not lead to microclusters. However, strong coupling between BCR and lipid (sphingolipids) molecules, that possibly arises upon antigen binding, generates microclusters of size similar to what has been observed in experiments. Our results indicate that microcluster size and number increase with increasing affinity while the formation times of such early BCR-Ag clusters decrease. These features can have important implications for the B cell affinity discrimination problem.
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Treanor, Bebhinn, David Depoil, Andreas Bruckbauer, and Facundo D. Batista. "Dynamic cortical actin remodeling by ERM proteins controls BCR microcluster organization and integrity." Journal of Experimental Medicine 208, no. 5 (April 11, 2011): 1055–68. http://dx.doi.org/10.1084/jem.20101125.

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Signaling microclusters are a common feature of lymphocyte activation. However, the mechanisms controlling the size and organization of these discrete structures are poorly understood. The Ezrin-Radixin-Moesin (ERM) proteins, which link plasma membrane proteins with the actin cytoskeleton and regulate the steady-state diffusion dynamics of the B cell receptor (BCR), are transiently dephosphorylated upon antigen receptor stimulation. In this study, we show that the ERM proteins ezrin and moesin influence the organization and integrity of BCR microclusters. BCR-driven inactivation of ERM proteins is accompanied by a temporary increase in BCR diffusion, followed by BCR immobilization. Disruption of ERM protein function using dominant-negative or constitutively active ezrin constructs or knockdown of ezrin and moesin expression quantitatively and qualitatively alters BCR microcluster formation, antigen aggregation, and downstream BCR signal transduction. Chemical inhibition of actin polymerization also altered the structure and integrity of BCR microclusters. Together, these findings highlight a crucial role for the cortical actin cytoskeleton during B cell spreading and microcluster formation and function.
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Lasserre, Rémi, Céline Cuche, Ronnie Blecher-Gonen, Evgeny Libman, Elise Biquand, Anne Danckaert, Deborah Yablonski, Andrés Alcover, and Vincenzo Di Bartolo. "Release of serine/threonine-phosphorylated adaptors from signaling microclusters down-regulates T cell activation." Journal of Cell Biology 195, no. 5 (November 21, 2011): 839–53. http://dx.doi.org/10.1083/jcb.201103105.

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Antigen recognition within immunological synapses triggers and sustains T cell activation by nucleating protein microclusters that gather T cell receptors (TCRs), kinases, and adaptors. Dissipation of these microclusters results in signal termination, but how this process is regulated is unclear. In this paper, we reveal that release of the adaptors SLP76 and GADS from signaling microclusters is induced by the serine/threonine protein kinase HPK1 and that phosphorylation of GADS plays a major role in this process. We found that HPK1 was recruited into microclusters and triggered their dissipation by inducing the phosphorylation of a threonine-containing motif of GADS, together with the previously described serine phosphorylation of SLP76. These events induced the cooperative binding of 14-3-3 proteins to SLP76–GADS complexes, leading to their uncoupling from the transmembrane adaptor LAT and consequently reducing microcluster persistence and activation-induced gene transcription. These results demonstrate that serine/threonine phosphorylation of multiple TCR-proximal effectors controls the stability of signaling microclusters, thereby determining the intensity of T cell responses.
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Ophir, Michael J., Beiyun C. Liu, and Stephen C. Bunnell. "The N terminus of SKAP55 enables T cell adhesion to TCR and integrin ligands via distinct mechanisms." Journal of Cell Biology 203, no. 6 (December 23, 2013): 1021–41. http://dx.doi.org/10.1083/jcb.201305088.

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The T cell receptor (TCR) triggers the assembly of “SLP-76 microclusters,” which mediate signals required for T cell activation. In addition to regulating integrin activation, we show that Src kinase–associated phosphoprotein of 55 kD (SKAP55) is required for microcluster persistence and movement, junctional stabilization, and integrin-independent adhesion via the TCR. These functions require the dimerization of SKAP55 and its interaction with the adaptor adhesion and degranulation-promoting adaptor protein (ADAP). A “tandem dimer” containing two ADAP-binding SKAP55 Src homology 3 (SH3) domains stabilized SLP-76 microclusters and promoted T cell adhesion via the TCR, but could not support adhesion to integrin ligands. Finally, the SKAP55 dimerization motif (DM) enabled the coimmunoprecipitation of the Rap1-dependent integrin regulator Rap1-GTP–interacting adaptor molecule (RIAM), the recruitment of talin into TCR-induced adhesive junctions, and “inside-out” signaling to β1 integrins. Our data indicate that SKAP55 dimers stabilize SLP-76 microclusters, couple SLP-76 to the force-generating systems responsible for microcluster movement, and enable adhesion via the TCR by mechanisms independent of RIAM, talin, and β1 integrins.
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Fooksman, David R., and Michael L. Dustin. "Affinity measured by microcluster." Journal of Experimental Medicine 207, no. 5 (May 3, 2010): 907–9. http://dx.doi.org/10.1084/jem.20100780.

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Like T cell activation, B cell activation is driven by aggregation of B cell receptors (BCRs) into microclusters. New work suggests that the early dynamics of BCR mobility and microcluster formation “translate” BCR affinity for antigen into B cell responsiveness.
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Sohn, Hae Won, Pavel Tolar, and Susan K. Pierce. "Membrane heterogeneities in the formation of B cell receptor–Lyn kinase microclusters and the immune synapse." Journal of Cell Biology 182, no. 2 (July 21, 2008): 367–79. http://dx.doi.org/10.1083/jcb.200802007.

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Antigen binding to the B cell receptors (BCRs) induces BCR clustering, phosphorylation of BCRs by the Src family kinase Lyn, initiation of signaling, and formation of an immune synapse. We investigated B cells as they first encountered antigen on a membrane using live cell high resolution total internal reflection fluorescence microscopy in conjunction with fluorescence resonance energy transfer. Newly formed BCR microclusters perturb the local membrane microenvironment, leading to association with a lipid raft probe. This early event is BCR intrinsic and independent of BCR signaling. Association of BCR microclusters with membrane-tethered Lyn depends on Lyn activity and persists as microclusters accumulate and form an immune synapse. Membrane perturbation and BCR–Lyn association correlate both temporally and spatially with the transition of microclustered BCRs from a “closed” to an “open” active signaling conformation. Visualization and analysis of the earliest events in BCR signaling highlight the importance of the membrane microenvironment for formation of BCR–Lyn complexes and the B cell immune synapse.
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Biggs, M. J. P., M. C. Milone, L. C. Santos, A. Gondarenko, and S. J. Wind. "High-resolution imaging of the immunological synapse and T-cell receptor microclustering through microfabricated substrates." Journal of The Royal Society Interface 8, no. 63 (April 13, 2011): 1462–71. http://dx.doi.org/10.1098/rsif.2011.0025.

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T-cell activation via antigen presentation is associated with the formation of a macromolecular membrane assembly termed the immunological synapse (IS). The genesis of the IS and the onset of juxtacrine signalling is characterized by the formation of cell membrane microclusters and the organization of such into segregated microdomains. A central zone rich in T-cell receptor (TCR)–major histocompatibility complex microclusters termed the central supramolecular activation cluster (cSMAC) forms the bullseye of this structure, while the cellular interface surrounding the cSMAC is characterized by regions enriched in adhesion and co-stimulatory molecules. In vitro , the study of dynamic TCR microcluster coalescence and IS genesis in T-cell populations is hampered by cell migration within the culture system and resolution constraints resulting from lateral cell–cell contact. Here, we detail a novel system describing the fabrication of micropit arrays designed to sequester single T-cell–antigen presenting cell (APC) conjugates and promote IS formation in the horizontal imaging plane for high-resolution studies of microcluster dynamics. We subsequently use this system to describe the formation of the cSMAC in T-cell populations and to investigate the morphology of the interfacial APC membrane.
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Xu, Jiaxuan, Jiang Wu, Taiyong Li, and Yang Nan. "Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and the L2,1-Norm." Entropy 24, no. 10 (September 21, 2022): 1324. http://dx.doi.org/10.3390/e24101324.

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Accurate clustering is a challenging task with unlabeled data. Ensemble clustering aims to combine sets of base clusterings to obtain a better and more stable clustering and has shown its ability to improve clustering accuracy. Dense representation ensemble clustering (DREC) and entropy-based locally weighted ensemble clustering (ELWEC) are two typical methods for ensemble clustering. However, DREC treats each microcluster equally and hence, ignores the differences between each microcluster, while ELWEC conducts clustering on clusters rather than microclusters and ignores the sample–cluster relationship. To address these issues, a divergence-based locally weighted ensemble clustering with dictionary learning (DLWECDL) is proposed in this paper. Specifically, the DLWECDL consists of four phases. First, the clusters from the base clustering are used to generate microclusters. Second, a Kullback–Leibler divergence-based ensemble-driven cluster index is used to measure the weight of each microcluster. With these weights, an ensemble clustering algorithm with dictionary learning and the L2,1-norm is employed in the third phase. Meanwhile, the objective function is resolved by optimizing four subproblems and a similarity matrix is learned. Finally, a normalized cut (Ncut) is used to partition the similarity matrix and the ensemble clustering results are obtained. In this study, the proposed DLWECDL was validated on 20 widely used datasets and compared to some other state-of-the-art ensemble clustering methods. The experimental results demonstrated that the proposed DLWECDL is a very promising method for ensemble clustering.
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Duncan, Michael A., and Dennis H. Rouvray. "Microclusters." Scientific American 261, no. 6 (December 1989): 110–15. http://dx.doi.org/10.1038/scientificamerican1289-110.

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Dissertations / Theses on the topic "Microclusters"

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Xu, Liang. "Simulating electronic-structure properties of atomic clusters by Ab-initio calculations, and inter-nuclear quantum-statistical effects of molecules from an integration-free path-integral method /Xu Liang." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/344.

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In this dissertation, we have employed some well-established electronic-structure methods [e.g., density functional theory (DFT) and time-dependent DFT (TD-DFT)] to investigate the potential energy surfaces for 2s 2p excitation of beryllium atomic clusters, attempting to provide direct computational support for the mechanism of a newly invented laser spectroscopy. The computing time of single-point energy calculations for a series of beryllium clusters from using TD-DFT has been compared with that from a higher-level coupled-cluster method, in order to demonstrate the computational practicality of TD-DFT methods. Meanwhile, to benchmark the accuracy of TD-DFT methods, the state properties such as the equilibrium inter-atomic distance and dissociation energy of beryllium clusters calculated by us are compared with experimental results and other computational values where available. Furthermore, we have defined the fork intersections to characterize the position where the excited states can be treated as degenerate = Moreover, to shed some light on the reaction mechanism of a Diels-Alder reaction between isoprene and maleic anhydride, we have investigated the kinetic isotope effects (KIE) of the reaction. To further include inter-nuclear quantum-statistical effects (i.e., the quantum tunneling effect and anharmonicity), an automated integration-free path-integral (AIF-PI) method developed by our group in recent years based on Kleinert's variational perturbation theory has been used. The KIE values produced by the AIF-PI method can be used to clearly distinguish between the two isomeric transition-state structures, and determine the actual rate-limiting transition state. By virtue of the AIF-PI method, we have also analyzed the quantum tunneling effects and anharmonicity separately, which are excluded in conventional Bigeleisen equation. Furthermore, the influence of different numbers of quantized nuclei on the KIE values using base-catalyzed RNA 2'-O-transphosphorylation models as examples are explored, by systematically increasing the number of quantized nuclei from 1 to 16 (fully quantized)
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Wang, Leiming. "Photoelectron spectroscopy studies on novel doped clusters." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Fall2009/l_wang_111309.pdf.

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Thesis (Ph. D.)--Washington State University, December 2009.
Title from PDF title page (viewed on Dec. 11, 2009). "Department of Physics and Astronomy." Includes bibliographical references (p. 156-176).
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SANTOS, RICHARD BRYAN MAGALHAES. "AN IMAGE ANALYSIS SYSTEM FOR THE CHARACTERIZATION OF SINTER FEED MICROCLUSTERS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=36029@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
Os minérios, uma vez extraídos, passam por diversas etapas de beneficiamento antes que possam ser devidamente utilizados. Os finos de minérios que, ao final dessa etapa, não possuem a granulometria necessária para alimentar os fornos de redução, passam por processos de aglomeração para alcançá-la, como a pelotização e a sinterização, cujo material produzido em uma das etapas deste último processo é o foco do presente trabalho. Esses finos passam primeiramente por uma etapa de microaglomeração, que é fundamental para o processo, pois muitas das características e propriedades do sínter são função da estrutura do microaglomerado pré-tratamento térmico. Ela consiste numa mistura do sinter feed com água, fundentes e combustível sólido (coque). Existem 3 estruturas típicas para um microaglomerado: quasipartícula, micropelota e partícula não aglomerada. A presente dissertação desenvolveu uma rotina automática no programa de processamento e análise de imagens FIJI, baseada em processamento e análise de imagens do microaglomerado obtidas por microscópio ótico, que é capaz de identificar as partículas de diferentes granulometrias que compõem a amostra, e classificá-las quanto às 3 classes supramencionadas. Após a classificação, a rotina é capaz de extrair atributos dos objetos identificados (percentual de cada classe, circularidade média, espessura média), e analisar os núcleos das quasipartículas, classificando-os quanto à fase (hematita, magnetita, goethita e outros). Ademais, a rotina apresenta todos os dados já citados na forma de um relatório em pdf, que contém também uma listagem das quasipartículas e micropelotas em ordem crescente de tamanho. Essa rotina elimina a imprecisão e a subjetividade do operador humano, obtém medidas não realizáveis manualmente, permitindo prever características futuras do sínter de forma totalmente automática.
The ores, once extracted, undergo several stages of processing before they can be properly used. The fines of ores that, at the end of this stage, do not have the granulometry required to feed the reduction furnaces, pass through agglomeration processes to reach it, such as pelletizing and sintering. The material produced in one of the stages of the latter process is the focus of this work. These fines first go through a micro-agglomeration stage, which is fundamental to the process because many of the characteristics and properties of the sinter are function of the structure of the pre-heat treatment microcluster. It consists of a mixture of the sinter feed, water, fluxes and solid fuel (coke). There are 3 typical structures for a microcluster: quasiparticle, micropellet, and non-agglomerated particles. The present dissertation has developed an automatic routine in the FIJI image-processing program, based on optical microscope image processing and analysis, which is able to identify the particles of different granulometry that compose the sample, and classify them in the 3 classes mentioned above. After classification, the routine is able to extract attributes of the identified objects (percentage of each class, average circularity, average thickness), and to analyze the quasiparticle nuclei, classifying them as to the phase (hematite, magnetite, goethite and others). In addition, the routine presents all the data in the form of a pdf report, which also contains a listing of quasiparticles and micropellets in increasing order of size. This automatic classification eliminates the lack of reproducibility and subjectivity of the human operator, provides measures that would be untenable manually, allowing the forecast of the future characteristics of the sinter in a fully automatic fashion.
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Cui, Lifeng. "Photoelectron spectroscopy studies on group IV semiconductor clusters and novel binary clusters." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Spring2007/l_cui_050107.pdf.

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Eljack, Fadwa Tahra. "A property based approach to integrated process and molecular design." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Spring%20Dissertations/ELJACK_FADWA_14.pdf.

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黃柄榕 and Ping-yung Wong. "Molecular clusters on surfaces: a Monte Carlostudy." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221956.

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Wong, Ping-yung. "Molecular clusters on surfaces : a Monte Carlo study /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20566694.

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Paukstis, Sarah Joan. "The spectroscopy of small silicon clusters Si₂X(X = N,O)." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/30309.

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Liu, Haichuan. "Reactions in gaseous metal-organic complexes induced by the photoexcitation of the metal chromaphores /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?CHEM%202004%20LIU.

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Spraggins, Jeffrey M. "Environmental applications of ESI FT-ICR mass spectrometry oxidized peptides and metal sulfide clusters /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 231 p, 2010. http://proquest.umi.com/pqdweb?did=1993336521&sid=11&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Books on the topic "Microclusters"

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Sugano, Satoru, Yuichiro Nishina, and Shuhei Ohnishi, eds. Microclusters. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83064-8.

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Sugano, Satoru. Microcluster physics. 2nd ed. Berlin: Springer, 1998.

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Sugano, Satoru. Microcluster physics. Berlin: Springer-Verlag, 1991.

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R, Bernstein E., ed. Atomic and molecular clusters. Amsterdam: Elsevier, 1990.

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Sugano, Satoru. Microcluster physics. Berlin: Springer-Verlag, 1991.

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Sugano, Satoru. Microcluster physics. 2nd ed. Berlin: Springer, 1998.

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Russia) IWFAC'99 (1999 Saint Petersburg. Fullerenes and atomic clusters: Book of abstracts : IWFAC'99 : Oct. 4-8, 1999, St. Petersburg, Russia. St. Petersburg?]: Center for Research and Technology "FIZINTEL", 1997.

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IWFAC-93 (1993 Saint Petersburg, Russia). Fullerenes and atomic clusters: IWFAC-93 : international workshop : abstracts of invited lectures and contributed papers : St.Petersburg, Russia, October 4-9, 1993. [St. Petersburg]: RTP PII͡A︡F, 1993.

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IWFAC'97, (1997 Saint Petersburg Russia). The 3rd international workshop in Russia, fullerenes and atomic clusters: Book of abstracts : IWFAC'97 : June 30-July 4, 1997, St. Petersburg, Russia. [St. Petersburg?]: Izd-vo PII͡A︡F RAN, 1997.

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Institut matematicheskikh problem biologii (Rossiĭskai͡a akademii͡a nauk. Pushchinskiĭ nauchnyĭ t͡sentr), ed. Zakhvat ėlektronov klasterami v silʹnom magnitnom pole. Pushchino: Pushchinskiĭ nauch. t͡sentr RAN, 1995.

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Book chapters on the topic "Microclusters"

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Sugano, Satoru, and Hiroyasu Koizumi. "What are Microclusters ?" In Microcluster Physics, 1–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58926-3_1.

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Sugano, Satoru. "What are Microclusters?" In Microcluster Physics, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-97330-7_1.

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Garzón, I. L., and J. Jellinek. "Melting of gold microclusters." In Small Particles and Inorganic Clusters, 685–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76178-2_164.

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Feuston, B. P., R. K. Kalia, and P. Vashishta. "Fragmentation of Silicon Microclusters." In Physics and Chemistry of Small Clusters, 283–88. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-0357-3_40.

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Floudas, Christodoulos A. "Global Optimization in Microclusters." In Nonconvex Optimization and Its Applications, 403–33. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-4949-6_14.

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Jena, P., S. N. Khanna, and B. K. Rao. "Electronic Structure of Microclusters." In Springer Series in Materials Science, 47–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83064-8_6.

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Fujima, N., and T. Yamaguchi. "Electronic states of Mn microclusters." In Small Particles and Inorganic Clusters, 185–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76178-2_44.

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Selby, K., V. Kresin, J. Masui, M. Vollmer, A. Scheidemann, and W. D. Knight. "Optical spectra of sodium microclusters." In Small Particles and Inorganic Clusters, 43–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76178-2_8.

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Berry, R. Stephen, Thomas L. Beck, Heidi L. Davis, and Julius Jellinek. "Melting and Freezing of Microclusters." In Physics and Chemistry of Small Clusters, 185–91. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-0357-3_27.

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Kurkina, L. I., O. V. Farberovich, V. S. Stepanyuk, A. A. Katsnelson, and A. Szasz. "Ionization Potentials of Fe Microclusters." In Physics and Chemistry of Finite Systems: From Clusters to Crystals, 629–31. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-017-2645-0_83.

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Conference papers on the topic "Microclusters"

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Pawar, Sachin A., S. B. Pawar, A. S. Kamble, D. S. Patil, P. N. Bhosale, and P. S. Patil. "Investigations on chemosynthesized CdSe microclusters." In SOLID STATE PHYSICS: PROCEEDINGS OF THE 57TH DAE SOLID STATE PHYSICS SYMPOSIUM 2012. AIP, 2013. http://dx.doi.org/10.1063/1.4791087.

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Berry, R. Stephen. "Solid and liquid molecules and microclusters." In AIP Conference Proceedings Volume 162. AIP, 1987. http://dx.doi.org/10.1063/1.36890.

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TAKAHASHI, N., T. SHIMODA, H. MIYATAKE, H. KOBAYASHI, Y. MIZOI, M. SASAKI, T. SHIRAKURA, et al. "NUCLEAR POLARIZATION IN MICROCLUSTERS IN SUPERFLUID HELIUM." In Proceedings of the Tours Symposium on Nuclear Physics II. WORLD SCIENTIFIC, 1995. http://dx.doi.org/10.1142/9789814447058_0025.

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Abidin, Mastura Shafinaz Zainal, Shahjahan, Abdul Manaf Hashim, Nihad K. Ali Al-Obaidi, Nafarizal Nayan, Mohamad Rusop Mahmood, and Vijay K. Arora. "Synthesis and characterization of GeO2 microclusters via electrochemical deposition technique." In 2012 International Conference on Enabling Science and Nanotechnology (ESciNano 2012). IEEE, 2012. http://dx.doi.org/10.1109/escinano.2012.6149701.

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Leclercq, J., G. Pascoli, M. Leleyter, and M. Comeau. "Electronic structures and stabilities of MpCn microclusters I. SipCn(n+p≤6)." In The 50th international meeting of physical chemistry: Molecules and grains in space. AIP, 1994. http://dx.doi.org/10.1063/1.46583.

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Leleyter, M., G. Pascoli, and J. Leclercq. "Isomerism effects in GepC+n microclusters (p=1,2; n<6) in Hückel theory." In The first European conference on computational chemistry (E.C.C.C.1). AIP, 1995. http://dx.doi.org/10.1063/1.47705.

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Comeau, M., M. Leleyter, J. Leclercq, and G. Pascoli. "Electronic structures and stabilities of MpCn microclusters. II. BpCn(n<6, p=1,3)." In The 50th international meeting of physical chemistry: Molecules and grains in space. AIP, 1994. http://dx.doi.org/10.1063/1.46585.

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Bunton, Patrick H., Richard F. Haglund, Dengfa Liu, and Norman H. Tolk. "Excitonic Mechanism of Photon-Stimulated Desorption of Excited Alkali Atoms from Alkali Halides." In The Microphysics of Surfaces: Beam-Induced Processes. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/msbip.1991.wc9.

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Abstract:
The mechanism leading to photon-stimulated desorption (PSD) of excited atoms from the surfaces of alkali halides has been a subject of controversy since it was first discussed a decade ago [1]. We have recently carried out a systematic experimental study of PSD from alkali halides under both valence-band [2] and core-level [3] excitation. Our data demonstrate that the desorption yields for excited alkali atoms track the excitonic optical response of these crystals even at photon energies below the bulk band gap. Secondary electron measurements, taken simultaneously, implicate the formation of excess metal in the time and dose dependence of PSD yields. These results suggest a unified picture of PSD in which the ion motion initiating desorption is pictured as the decay of a localized, highly deformed vibrational mode of the crystal. Plausible mechanisms for creation of the excited atomic state include relaxation of excited F-centers and resonant neutralization into the excited state on metallic microclusters.
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Kucherik, A., A. Antipov, S. Arakelian, S. Kutrovskaya, K. Khorkov, A. Povolotckaia, A. Povolotskiy, and A. Manshina. "Laser formation of collodial alloys of the noble nanoparticles and deposition of the microclusters on the glass substrate." In 2014 International Conference Laser Optics. IEEE, 2014. http://dx.doi.org/10.1109/lo.2014.6886356.

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Takehara, Tomohiro, Ei Wakamatsu, Hiroaki Machiyama, Hiroyuki Yasuda, Kenzo Soejima, and Tadashi Yokosuka. "Abstract LB-057: Programmed cell death 2 forms coinhibitory microclusters that directly attenuate T cell receptor signaling by recruiting phosphatase SHP2." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-lb-057.

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Reports on the topic "Microclusters"

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Maiti, A. Electronic and structural properties of metallic microclusters. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/5006632.

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Maiti, Amitesh. Electronic and structural properties of metallic microclusters. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10159462.

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Jena, P., S. N. Khanna, and B. K. Rao. Electronic Structure of Microclusters and Defect Complexes. Fort Belvoir, VA: Defense Technical Information Center, August 1992. http://dx.doi.org/10.21236/ada254807.

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Jelski, Daniel A., Tapio T. Rantala, and Thomas F. George. Chemical Reactivity and Electronic Structure of Silicon Microclusters. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada240276.

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Greenwell, Donald L., Rajiv K. Kalia, and Priya Vashishta. Embedded Microclusters in Zeolites and Cluster Beam Sputtering -- Simulation on Parallel Computers. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/8183.

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Vashishta, P., R. K. Kalia, and D. L. Greenwell. Embedded microclusters in zeolites and cluster beam sputtering -- simulation on parallel computers. Progress report, September 1993--September 1994. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10186983.

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Vashishta, P., R. K. Kalia, and D. Greenwell. Embedded microclusters in zeolites and cluster beam sputtering: Simulation on parallel computers. Annual progress report, September 15, 1992--September 14, 1993. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10184447.

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