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1

KOBAYASHI, Tatsuo. "Spine Information as binding functionality." Journal of Information Processing and Management 55, no. 11 (2013): 802–9. http://dx.doi.org/10.1241/johokanri.55.802.

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2

Doumas, Leonidas A. A., Keith J. Holyoak, and John E. Hummel. "The problem with using associations to carry binding information." Behavioral and Brain Sciences 29, no. 1 (February 2006): 74–75. http://dx.doi.org/10.1017/s0140525x06269024.

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van der Velde & de Kamps argue for the importance of considering the binding problem in accounts of human mental representation. However, their proposed solution fails as a complete account because it represents the bindings between roles and their fillers through associations (or connections). In addition, many criticisms leveled by the authors towards synchrony-based bindings models do not hold.
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3

Haoyue, QIAN, HUANG Yihui, and GAO Xiangping. "Gamma oscillations and information binding process." Advances in Psychological Science 26, no. 3 (2018): 433. http://dx.doi.org/10.3724/sp.j.1042.2018.00433.

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4

Hengen, P. "Information analysis of Fis binding sites." Nucleic Acids Research 25, no. 24 (December 15, 1997): 4994–5002. http://dx.doi.org/10.1093/nar/25.24.4994.

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5

Bak, Ji Hyun, and William Bialek. "Information Flow through Calcium Binding Proteins." Biophysical Journal 106, no. 2 (January 2014): 380a. http://dx.doi.org/10.1016/j.bpj.2013.11.2151.

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6

Valentine, Austin. "European binding tariff information, a brief explanation." ERA Forum 9, no. 3 (October 2008): 413–21. http://dx.doi.org/10.1007/s12027-008-0087-y.

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7

Dijkstra, Harmen P, Jordan J Hutchinson, Christopher A Hunter, Haiyuan Qin, Salvador Tomas, Simon J Webb, and Nicholas H Williams. "Transmission of Binding Information across Lipid Bilayers." Chemistry - A European Journal 13, no. 25 (August 27, 2007): 7215–22. http://dx.doi.org/10.1002/chem.200601723.

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8

Wu, Lin, Lingkai Tang, Min Li, Jianxin Wang, and Fang-Xiang Wu. "Biomolecular Network Controllability With Drug Binding Information." IEEE Transactions on NanoBioscience 16, no. 5 (July 2017): 326–32. http://dx.doi.org/10.1109/tnb.2017.2705106.

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9

Shimada, Naohiko, Reiko Iwase, Tetsuji Yamaoka, and Akira Murakami. "Design of RNA-Binding Oligopeptides Based on Information of RNA-Binding Protein." Polymer Journal 35, no. 6 (June 2003): 507–12. http://dx.doi.org/10.1295/polymj.35.507.

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10

Gyeszly, Suzanne D. "Library Binding." Serials Review 13, no. 1 (March 1987): 52–53. http://dx.doi.org/10.1080/00987913.1987.10763732.

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11

Kumar, Manish, M. Michael Gromiha, and Gajendra P. S. Raghava. "SVM based prediction of RNA-binding proteins using binding residues and evolutionary information." Journal of Molecular Recognition 24, no. 2 (February 25, 2011): 303–13. http://dx.doi.org/10.1002/jmr.1061.

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12

Holmquist, Peter C., Gerald P. Holmquist, and Michael L. Summers. "Comparing binding site information to binding affinity reveals that Crp/DNA complexes have several distinct binding conformers." Nucleic Acids Research 39, no. 15 (May 17, 2011): 6813–24. http://dx.doi.org/10.1093/nar/gkr369.

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13

Golledge, Huw D. R., Claus C. Hilgetag, and Martin J. Tovée. "Information processing: A solution to the binding problem?" Current Biology 6, no. 9 (September 1996): 1092–95. http://dx.doi.org/10.1016/s0960-9822(02)70675-1.

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14

KAMEYAMA, Kimihiko, and Michio UI. "Transmission of cellular information through GTP-binding protein." Kagaku To Seibutsu 26, no. 8 (1988): 495–505. http://dx.doi.org/10.1271/kagakutoseibutsu1962.26.495.

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15

Sparks, Madeleine, and Julian Gallop. "Implementations using GKS Pascal Binding Appeal for Information." Computer Graphics Forum 4, no. 4 (December 1985): 393. http://dx.doi.org/10.1111/j.1467-8659.1985.tb00246.x.

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16

BENSON, MARK L., RICHARD D. SMITH, NICKOLAY A. KHAZANOV, HEATHER A. CARLSON, BRANDON DIMCHEFF, and PETER DRESSLAR. "UPDATING BINDING MOAD — DATA MANAGEMENT AND INFORMATION WORKFLOW." New Mathematics and Natural Computation 06, no. 01 (March 2010): 49–56. http://dx.doi.org/10.1142/s1793005710001608.

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Binding MOAD (Mother of All Databases) is the largest collection of high-quality, protein-ligand complexes available from the Protein Data Bank. It has grown to 9837 hand-curated entries. Here, we describe our semi-annual updating procedures and BUDA (Binding Unstructured Data Analysis), a custom workflow tool that incorporates natural language processing technologies to facilitate the annotation process.
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17

Parham, R., S. Riley, A. Hutchinson, and R. Horne. "PATIENTS’ SATISFACTION WITH INFORMATION ABOUT PHOSPHATE-BINDING MEDICATION." Journal of Renal Care 35 (March 2009): 86–93. http://dx.doi.org/10.1111/j.1755-6686.2009.00063.x.

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18

Schneider, Thomas D., Gary D. Stormo, Larry Gold, and Andrzej Ehrenfeucht. "Information content of binding sites on nucleotide sequences." Journal of Molecular Biology 188, no. 3 (April 1986): 415–31. http://dx.doi.org/10.1016/0022-2836(86)90165-8.

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19

Tibbits, Edie. "Binding Conventions for Music Materials." Library Resources & Technical Services 40, no. 1 (January 1, 1996): 33–40. http://dx.doi.org/10.5860/lrts.40n1.33.

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20

Gordon, Martin. "Automated Binding Control." Serials Librarian 15, no. 3-4 (December 1988): 157–59. http://dx.doi.org/10.1300/j123v15n03_18.

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21

Shaffer, Barbara, Karen Aufdemberge, Lisa Macklin, and Paul Parisi. "Automating Binding Procedures." Serials Librarian 23, no. 3-4 (March 29, 1993): 233–35. http://dx.doi.org/10.1300/j123v23n03_26.

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22

Frost, Janet, and Wing Woo. "Binding dilemma: Changing horses mid stream—Or why we stopped binding periodicals at HKBU." Library Collections, Acquisitions, and Technical Services 31, no. 2 (June 2007): 85–95. http://dx.doi.org/10.1016/j.lcats.2007.07.017.

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23

Frost, Janet, and Wing Woo. "Binding dilemma: Changing horses mid stream—Or why we stopped binding periodicals at HKBU." Library Collections, Acquisitions, & Technical Services 31, no. 2 (June 2007): 85–95. http://dx.doi.org/10.1080/14649055.2007.10766151.

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24

Huntley, Miriam H., Arvind Murugan, and Michael P. Brenner. "Information capacity of specific interactions." Proceedings of the National Academy of Sciences 113, no. 21 (May 6, 2016): 5841–46. http://dx.doi.org/10.1073/pnas.1520969113.

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Specific interactions are a hallmark feature of self-assembly and signal-processing systems in both synthetic and biological settings. Specificity between components may arise from a wide variety of physical and chemical mechanisms in diverse contexts, from DNA hybridization to shape-sensitive depletion interactions. Despite this diversity, all systems that rely on interaction specificity operate under the constraint that increasing the number of distinct components inevitably increases off-target binding. Here we introduce “capacity,” the maximal information encodable using specific interactions, to compare specificity across diverse experimental systems and to compute how specificity changes with physical parameters. Using this framework, we find that “shape” coding of interactions has higher capacity than chemical (“color”) coding because the strength of off-target binding is strongly sublinear in binding-site size for shapes while being linear for colors. We also find that different specificity mechanisms, such as shape and color, can be combined in a synergistic manner, giving a capacity greater than the sum of the parts.
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25

Yoshimura, Takako. "Memory and Information Binding-a patient who exhibits difficulties on a binding memory task-." Higher Brain Function Research 30, no. 2 (2010): 277–84. http://dx.doi.org/10.2496/hbfr.30.277.

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26

Kuznetsov, Igor B., Zhenkun Gou, Run Li, and Seungwoo Hwang. "Using evolutionary and structural information to predict DNA‐binding sites on DNA‐binding proteins." Proteins: Structure, Function, and Bioinformatics 64, no. 1 (March 27, 2006): 19–27. http://dx.doi.org/10.1002/prot.20977.

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27

Shultzaberger, Ryan K., Lindsey R. Roberts, Ilya G. Lyakhov, Igor A. Sidorov, Andrew G. Stephen, Robert J. Fisher, and Thomas D. Schneider. "Correlation between binding rate constants and individual information of E. coli Fis binding sites." Nucleic Acids Research 35, no. 16 (July 7, 2007): 5275–83. http://dx.doi.org/10.1093/nar/gkm471.

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28

B Dunn, Austin. "The New Binding Processes." Serials: The Journal for the Serials Community 1, no. 3 (November 1, 1988): 37–39. http://dx.doi.org/10.1629/010337.

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29

Milkovic, Milan. "The Binding of Periodicals." Serials Librarian 11, no. 2 (October 28, 1986): 93–118. http://dx.doi.org/10.1300/j123v11n02_09.

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30

Gordon, Martin, Bruce Jacobsen, and Tim McAdam. "The Commercial Binding Agreement." Serials Librarian 17, no. 3-4 (December 29, 1989): 153–54. http://dx.doi.org/10.1300/j123v17n03_18.

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31

Raimondi, Francesco, Guillem Portella, Modesto Orozco, and Francesca Fanelli. "Nucleotide Binding Switches the Information Flow in Ras GTPases." PLoS Computational Biology 7, no. 3 (March 3, 2011): e1001098. http://dx.doi.org/10.1371/journal.pcbi.1001098.

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32

Cera, Enrico Di, Francesco Andreasi Bassi, and Stanley J. Gill. "Information theory and the analysis of ligand-binding data." Biophysical Chemistry 34, no. 1 (September 1989): 19–28. http://dx.doi.org/10.1016/0301-4622(89)80037-7.

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33

Yang, Chao, Shilei Zhang, Ping He, Congcong Wang, Jian Huang, and Peng Zhou. "Self-Binding Peptides: Folding or Binding?" Journal of Chemical Information and Modeling 55, no. 2 (February 11, 2015): 329–42. http://dx.doi.org/10.1021/ci500522v.

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34

Soupiset, Kathryn. "Automation and the Binding Process." Serials Librarian 11, no. 3-4 (April 28, 1987): 187–89. http://dx.doi.org/10.1300/j123v11n03_21.

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35

Duhon, Lucy, Jeanne Langendorfer, and Sandhya D. Srivastava. "Binding Journals in Tight Times." Serials Librarian 50, no. 3-4 (May 11, 2006): 227–33. http://dx.doi.org/10.1300/j123v50n03_04.

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36

Bailey, Dorothy C. "Coping with a Binding Crisis." Serials Review 13, no. 4 (December 1987): 59–62. http://dx.doi.org/10.1080/00987913.1987.10763790.

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37

Root, Trudie A. "Inhouse Binding in Academic Libraries." Serials Review 15, no. 3 (September 1989): 31–40. http://dx.doi.org/10.1080/00987913.1989.10763904.

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38

Zhang, Xiaoyin, and Toby Murray. "Binding in the Electronic Environment." Serials Review 30, no. 2 (January 2004): 86–89. http://dx.doi.org/10.1080/00987913.2004.10764888.

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39

Koti, B. Raja, and G. V. S. Raj Kumar. "Information leakage detection and protection of leaked information by using the MAC-IP binding technique." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 230. http://dx.doi.org/10.14419/ijet.v7i1.7.10700.

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The Digital world is advancing in terms of technological development day by day, resulting in an instantaneous rise in Data. This massive amount of Data has introduced the thought of Big Data, which has attracted both the business and IT sectors leaving the scope for huge opportunities. In turn, securing this massive data has become a challenging issue in the field of Information and Communication Technology. In this paper, we have carried out the work on business information sharing data which contains some sensitive information to investigate the security challenges of data in the field of business communication. The article an attempt is also made to identify the user’s intention or behavior during the navigation of data. The greatest challenge that is associated here is to prevent the integrity of the data while sharing the data from organization to the third party, where there exist huge chances of data loss, leakages or alteration. This paper highlights the concepts of data leakage, the techniques to detect the data leakage and the process of protecting the leaked data based on encrypted form.
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40

Brothers, Rebecca L. "Automating Serials Binding." Technical Services Quarterly 11, no. 4 (June 27, 1994): 45–59. http://dx.doi.org/10.1300/j124v11n04_04.

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41

Rogowska-Rajda, Beata. "Institution of VAT binding rate information – theoretical and practical aspects." Optimum. Economic Studies, no. 3(101) (2020): 56–67. http://dx.doi.org/10.15290/oes.2020.03.101.05.

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Purpose – The purpose of the article is to provide a comprehensive analysis of the new institution, i.e. the Binding Rate Information, in theoretical and practical terms. Therefore, the nature of this institution and its impact on business finances will be examined. This article also aims to verify the degree of its use by entrepreneurs and indicate possible directions of future changes. Research method – Literature reviews, analysis of legal acts, analysis of the decisions issued by administrative courts and the CJEU, and analysis of statistical data which relates to Binding Rate Information were used as part of this research. Research description – The analysis includes legal regulations concerning VAT rates and their impact on enterprises; also statistical data processed by the National Revenue Information System (KIS) in respect of Binding Rate Information issued. Results – Binding Rate Information reduces the tax risk of entrepreneurs related to the application of VAT rates. For this reason, entrepreneurs are willing to take advantage of this institution. However, this institution may have a negative impact on the finances of enterprises by distorting their competitiveness on the market in case of differences in the judicial decisions issued on rates classification. Consequently, it is crucial to maintain uniformity in the issued decisions. Despite the positive assessment of the new institution, it is necessary to consider to set it in a specific timeframe, and to limit the legal protection guaranteed by this institution in certain situations. It is recommended that further analysis should be undertaken with respect to extending the scope of binding information to include VAT exemptions.
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42

Stecker, G. Christopher. "Temporal binding of auditory spatial information across dynamic binaural events." Attention, Perception, & Psychophysics 80, no. 1 (October 30, 2017): 14–20. http://dx.doi.org/10.3758/s13414-017-1436-0.

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43

Guérard, Katherine, Candice C. Morey, Sébastien Lagacé, and Sébastien Tremblay. "Asymmetric binding in serial memory for verbal and spatial information." Memory & Cognition 41, no. 3 (December 20, 2012): 378–91. http://dx.doi.org/10.3758/s13421-012-0275-4.

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44

Kamikubo, Keita, Keigo Yasuda, and Kiyoshi Miura. "Objective Analysis of Ligand Binding Data with Akaike’s Information Criterion." Japanese Journal of Pharmacology 39 (1985): 252. http://dx.doi.org/10.1016/s0021-5198(19)63668-1.

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45

BIDELMAN, GAVIN M., and SHELLEY T. HEATH. "Enhanced temporal binding of audiovisual information in the bilingual brain." Bilingualism: Language and Cognition 22, no. 04 (July 5, 2018): 752–62. http://dx.doi.org/10.1017/s1366728918000408.

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We asked whether bilinguals’ benefits reach beyond the auditory modality to benefit multisensory processing. We measured audiovisual integration of auditory and visual cues in monolinguals and bilinguals via the double-flash illusion where the presentation of multiple auditory stimuli concurrent with a single visual flash induces an illusory perception of multiple flashes. We varied stimulus onset asynchrony (SOA) between auditory and visual cues to measure the “temporal binding window” where listeners fuse a single percept. Bilinguals showed faster responses and were less susceptible to the double-flash illusion than monolinguals. Moreover, monolinguals showed poorer sensitivity in AV processing compared to bilinguals. The width of bilinguals’ AV temporal integration window was narrower than monolinguals’ for both leading and lagging SOAs (Biling.: -65–112 ms; Mono.: -193 – 112 ms). Our results suggest the plasticity afforded by speaking multiple languages enhances multisensory integration and audiovisual binding in the bilingual brain.
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46

Oswald, S., and R. Reiche. "Binding state information from XPS depth profiling: capabilities and limits." Applied Surface Science 179, no. 1-4 (July 2001): 307–15. http://dx.doi.org/10.1016/s0169-4332(01)00299-9.

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47

Jeffery, I. B., S. F. Madden, P. A. McGettigan, G. Perriere, A. C. Culhane, and D. G. Higgins. "Integrating transcription factor binding site information with gene expression datasets." Bioinformatics 23, no. 3 (November 24, 2006): 298–305. http://dx.doi.org/10.1093/bioinformatics/btl597.

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48

Tschacher, W., and C. Bergomi. "Cognitive Binding in Schizophrenia: Weakened Integration of Temporal Intersensory Information." Schizophrenia Bulletin 37, suppl 2 (August 22, 2011): S13—S22. http://dx.doi.org/10.1093/schbul/sbr074.

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49

Huang, Yu-Feng, Li-Yuan Chiu, Chun-Chin Huang, and Chien-Kang Huang. "Predicting RNA-binding residues from evolutionary information and sequence conservation." BMC Genomics 11, Suppl 4 (2010): S2. http://dx.doi.org/10.1186/1471-2164-11-s4-s2.

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50

Majoros, William H., Parawee Lekprasert, Neelanjan Mukherjee, Rebecca L. Skalsky, David L. Corcoran, Bryan R. Cullen, and Uwe Ohler. "MicroRNA target site identification by integrating sequence and binding information." Nature Methods 10, no. 7 (May 26, 2013): 630–33. http://dx.doi.org/10.1038/nmeth.2489.

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