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Articoli di riviste sul tema "Structure"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Yamasaki, Satoshi, and Kazuhiko Fukui. "2P266 Tertiary structure prediction of RNA-RNA complex structures using secondary structure information(22A. Bioinformatics: Structural genomics,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S203. http://dx.doi.org/10.2142/biophys.53.s203_1.

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2

Aftandiliants, Ye G. "Modelling of structure forming in structural steels." Naukovij žurnal «Tehnìka ta energetika» 11, no. 4 (2020): 13–22. http://dx.doi.org/10.31548/machenergy2020.04.013.

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Abstract (sommario):

The study showed that the influence of alloying elements on the secondary structure formation of the steels containing from 0.19 to 0.37 wt. % carbon; 0.82-1.82 silicon; 0.63-3.03 manganese; 1.01-3.09 chromium; 0.005-0.031 nitrogen; up to 0.25 wt.% vanadium and austenite grain size is determined by their change in the content of vanadium nitride phase in austenite, its alloying and overheating above tac3, and the dispersion of ferrite-pearlite, martensitic and bainitic structures is determined by austenite grain size and thermal kinetic parameters of phase transformations. Analytical dependenc

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3

Rath, Shonal, and Hardik Agrawal. "Decentralized Computational Structure for the Selection of Dispersed and Non - Structured Data Proposal." International Journal of Science and Research (IJSR) 10, no. 9 (2021): 815–21. https://doi.org/10.21275/sr21916144223.

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4

Kumar, T. J. Prasanna, S. Yogendra, Sk Meera Shareef, Y. Rakesh, V. Kalyan Sai Ram, and V. Bhanu Nagendra. "Finite Element Analysis of Wing Rib Structure under Aerodynamic and Structural Loads." International Journal of Research Publication and Reviews 6, no. 2 (2025): 1616–21. https://doi.org/10.55248/gengpi.6.0225.0762.

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5

Cacciola, Pierfrancesco, Maria Garcia Espinosa, and Alessandro Tombari. "Vibration control of piled-structures through structure-soil-structure-interaction." Soil Dynamics and Earthquake Engineering 77 (October 2015): 47–57. http://dx.doi.org/10.1016/j.soildyn.2015.04.006.

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6

Roy, Christine, Said Bolourchi, and Daniel Eggers. "Significance of structure–soil–structure interaction for closely spaced structures." Nuclear Engineering and Design 295 (December 2015): 680–87. http://dx.doi.org/10.1016/j.nucengdes.2015.07.067.

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7

Benlakhdar, Mohyédine. "« Structure argumentale et structure circonstancielle dans les structures Verbe-Nom »." Études et Documents Berbères N° 15-16, no. 1 (1998): 211–17. http://dx.doi.org/10.3917/edb.015.0211.

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8

Patil, K. S., and Ajit K. Kakade. "Seismic Response of R.C. Structures With Different Steel Bracing Systems Considering Soil - Structure Interaction." Journal of Advances and Scholarly Researches in Allied Education 15, no. 2 (2018): 411–13. http://dx.doi.org/10.29070/15/56856.

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9

Mieldzioc, Adam. "Structure identification for a linearly structured covariance matrix." Biometrical Letters 59, no. 2 (2022): 159–69. http://dx.doi.org/10.2478/bile-2022-0011.

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Abstract (sommario):

Summary Linearly structured covariance matrices are widely used in multivariate analysis. The covariance structure can be chosen from a class of linear structures. Therefore, the optimal structure is identified in terms of minimizing the discrepancy function. In this research, the entropy loss function is used as the discrepancy function. We give a methodology and algorithm for determining the optimal structure from the class of structures under consideration. The accuracy of the proposed method is checked using a simulation study.

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10

HAUCK, J., and K. MIKA. "STRUCTURE MAPS OF SURFACE STRUCTURES." Surface Review and Letters 07, no. 01n02 (2000): 37–53. http://dx.doi.org/10.1142/s0218625x00000075.

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The adatom positions of adsorbates like A=H, Se, Xe on (100) or (111) surfaces of bcc or ccp metals and related compounds like hcp metals, NaCl or ZnS form a square, hexagonal, honeycomb or Kagomé net. The ordered structures can be characterized by the self-coordination numbers of nearest, next-nearest and third neighbors T1, T2, T3 and the T1, T2 values plotted in structure maps for a constant ratio of vacant/occupied sites. Most experimental structures have a single coordination of all A atoms. The interactions between A atoms are attractive for chains of A atoms with T1=2 and repulsive for

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11

HAUCK, J., W. ERKENS, K. MIKA, and K. WINGERATH. "STRUCTURE MAPS FOR POLYMER STRUCTURES." International Journal of Modern Physics B 16, no. 23 (2002): 3449–57. http://dx.doi.org/10.1142/s0217979202012141.

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Abstract (sommario):

One-, two- and three-dimensional structures A x B y can be characterized by the numbers T1, T2 and T3 of the nearest, next-nearest and third neighbors of the same kind. A smaller number of structures at the border of the T1, T2, T3 structure map is stabilized by enthalpy compared to an increased number of entropy stabilized structures away from the border. Structures with T1 = 2 nearest neighbors of all A atoms are suitable for infinite chains of polymers like (CH) ∞, ( CHCH 2)∞ or ( CH 2)∞.

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12

Grigorenko, G. M., V. D. Poznyakov, T. A. Zuber, and V. A. Kostin. "Peculiarities of formation of structure in welded joints of microalloyed structural steel S460M." Paton Welding Journal 2017, no. 10 (2017): 2–8. http://dx.doi.org/10.15407/tpwj2017.10.01.

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13

Nakaminami, Masamitsu, Tsutomu Tokuma, Kazuhiko Matsumoto, Sachinori Sakashita, Toshimichi Moriwaki, and Keiichi Nakamoto. "Optimal Structure Design Methodology for Compound Multiaxis Machine Tools - II - Investigation of Basic Structure -." International Journal of Automation Technology 1, no. 2 (2007): 87–93. http://dx.doi.org/10.20965/ijat.2007.p0087.

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Abstract (sommario):

Compound multiaxis machine tools are used to machine high-value-added parts through integrating milling and turning. Compound machine tools are generally structured based on a conventional NC lathe by incorporating Y axis and automatic tool changer (ATC) components for milling. Due to complexity of the structure and functional versatility required for a compound machine tool, accuracy, productivity, and return on investment (ROI) must be improved over conventional NC lathes and machining centers. In the sections that follow, we discuss design methodology for compound multiaxis machine tools, f

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14

Knappett, J. A., P. Madden, and K. Caucis. "Seismic structure–soil–structure interaction between pairs of adjacent building structures." Géotechnique 65, no. 5 (2015): 429–41. http://dx.doi.org/10.1680/geot.sip.14.p.059.

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15

Purser, Gordon H. "Lewis Structures Are Models for Predicting Molecular Structure, Not Electronic Structure." Journal of Chemical Education 76, no. 7 (1999): 1013. http://dx.doi.org/10.1021/ed076p1013.

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16

Tamura, Shohei, Yaemi Teramoto, Jiro Katto, and Hiroshi Wako. "1P041 Structural alignment with Delaunay codes characterizing local structures and structural motifs identified by the alignment(1. Protein structure and dynamics (I),Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S157. http://dx.doi.org/10.2142/biophys.46.s157_1.

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17

Miehe, Gerhard, and Heribert Graetsch. "Crystal structure of moganite: a new structure type for silica." European Journal of Mineralogy 4, no. 4 (1992): 693–706. http://dx.doi.org/10.1127/ejm/4/4/0693.

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18

Kolaki, Aravind I., and Basavaraj M. Gudadappanavar. "Performance Based Analysis of Framed Structure Considering Soil Structure Interaction." Bonfring International Journal of Man Machine Interface 4, Special Issue (2016): 106–11. http://dx.doi.org/10.9756/bijmmi.8165.

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19

Lei, Yan, Chenglin Li, and Liang Wan. "High-Temperature Tensile Properties of a Cobalt-Based Co-20Cr-15W-10Ni Superalloy with a Bimodal Grain Structure." Crystals 13, no. 2 (2023): 232. http://dx.doi.org/10.3390/cryst13020232.

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Abstract (sommario):

Cobalt-based superalloys are common materials for the manufacturing of various components used in aerospace applications. Conventional cobalt-based superalloys with a unimodal grain structure generally exhibit low strength and ductility at high temperatures. A bimodal grain structure of a cobalt-based superalloy, Co–20Cr–15W–10Ni (CCWN), was designed to achieve both high strength and ductility at high temperatures. The deformation behavior and tensile properties of a CCWN alloy with unimodal fine-grain (FG), coarse-grain (CG), and bimodal (FG/CG) structures were investigated at 900 °C. The mic

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20

Fadlur Rahman Bayuny, Ahmad, and Razali Haron. "Board structure, ownership structure, and capital structure: Empirical evidence on Shariah and non-Shariah compliant firms in Indonesia." Banks and Bank Systems 18, no. 4 (2023): 241–54. http://dx.doi.org/10.21511/bbs.18(4).2023.20.

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The main purpose of this study is to investigate the impact of board structure and ownership structure on capital structure of Shariah-compliant firms and Non-Shariah-compliant firms in Indonesia. The study used the Generalized Method of Moments to analyze the relationship by applying 2,739 data observations of non-financial companies registered on the Indonesia Stock Exchange. This study uses commissionaire size, director size, female director, female commissionaire, independent director, and independent commissionaire as proxies for board structure, and ownership concentration and government

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21

Kuppuraj, Gopi, Fumiko Suzuki, Masahiko Ikeuchi, and Kei Yura. "3P050 Structural insights into enzyme-bound flavin adenine dinucleotides (FAD)(01A. Protein: Structure,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S220. http://dx.doi.org/10.2142/biophys.53.s220_2.

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22

Standley, Daron M., Hiroyuki Toh, and Haruki Nakamura. "S08I2 Functional Annotation Sequence-weighted Structure Alignments(Bioinformatics in the Era of Structural Proteomics)." Seibutsu Butsuri 47, supplement (2007): S11. http://dx.doi.org/10.2142/biophys.47.s11_3.

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23

Kim, Tatyana S. "Opposition Text Structure." International Journal of Psychosocial Rehabilitation 24, no. 4 (2020): 3689–99. http://dx.doi.org/10.37200/ijpr/v24i4/pr201482.

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24

Millán, Claudia, and Isabel Usón. "Crystallographic structure solution." Arbor 191, no. 772 (2015): a218. http://dx.doi.org/10.3989/arbor.2015.772n2004.

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25

Zhang, Xueqin, Keqiang Zhang, Lu Zhang, Wenqing Wang, Ying Li, and Rujie He. "Additive manufacturing of cellular ceramic structures: From structure to structure–function integration." Materials & Design 215 (March 2022): 110470. http://dx.doi.org/10.1016/j.matdes.2022.110470.

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26

Madani, B., F. Behnamfar, and H. Tajmir Riahi. "Dynamic response of structures subjected to pounding and structure–soil–structure interaction." Soil Dynamics and Earthquake Engineering 78 (November 2015): 46–60. http://dx.doi.org/10.1016/j.soildyn.2015.07.002.

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27

Jabary, R. N., and S. P. G. Madabhushi. "Structure-soil-structure interaction effects on structures retrofitted with tuned mass dampers." Soil Dynamics and Earthquake Engineering 100 (September 2017): 301–15. http://dx.doi.org/10.1016/j.soildyn.2017.05.017.

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28

Zhang, Le, Lilong Dang, Feng Luo, and Xuefeng Feng. "Solvent-controlled assembly of crystal structures: From centrosymmetric structure to noncentrosymmetric structure." Journal of Molecular Structure 1106 (February 2016): 114–20. http://dx.doi.org/10.1016/j.molstruc.2015.10.094.

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29

Doreian, Patrick. "On the evolution of group and network structure II: Structures within structure." Social Networks 8, no. 1 (1986): 33–64. http://dx.doi.org/10.1016/s0378-8733(86)80014-4.

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30

Seemann, Stefan E., Aashiq H. Mirza, Claus H. Bang-Berthelsen, et al. "Does rapid sequence divergence preclude RNA structure conservation in vertebrates?" Nucleic Acids Research 50, no. 5 (2022): 2452–63. http://dx.doi.org/10.1093/nar/gkac067.

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Abstract Accelerated evolution of any portion of the genome is of significant interest, potentially signaling positive selection of phenotypic traits and adaptation. Accelerated evolution remains understudied for structured RNAs, despite the fact that an RNA’s structure is often key to its function. RNA structures are typically characterized by compensatory (structure-preserving) basepair changes that are unexpected given the underlying sequence variation, i.e., they have evolved through negative selection on structure. We address the question of how fast the primary sequence of an RNA can cha

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31

Kiening, Ochsenreiter, Hellinger, Rattei, Hofacker, and Frishman. "Conserved Secondary Structures in Viral mRNAs." Viruses 11, no. 5 (2019): 401. http://dx.doi.org/10.3390/v11050401.

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Abstract (sommario):

RNA secondary structure in untranslated and protein coding regions has been shown to play an important role in regulatory processes and the viral replication cycle. While structures in non-coding regions have been investigated extensively, a thorough overview of the structural repertoire of protein coding mRNAs, especially for viruses, is lacking. Secondary structure prediction of large molecules, such as long mRNAs remains a challenging task, as the contingent of structures a sequence can theoretically fold into grows exponentially with sequence length. We applied a structure prediction pipel

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32

Read, R. J. "Structure-factor probabilities for related structures." Acta Crystallographica Section A Foundations of Crystallography 46, no. 11 (1990): 900–912. http://dx.doi.org/10.1107/s0108767390005529.

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33

Salcedo, Roberto, and L. E. Sansores. "Electronic structure of C40 possible structures." Journal of Molecular Structure: THEOCHEM 422, no. 1-3 (1998): 245–52. http://dx.doi.org/10.1016/s0166-1280(97)00111-5.

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34

Bel'ko, I. V. "Structure function of foliatedG K -structures." Mathematical Notes of the Academy of Sciences of the USSR 40, no. 5 (1986): 875–79. http://dx.doi.org/10.1007/bf01159709.

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35

Shervashidze, Nino, and Francis Bach. "Learning the Structure for Structured Sparsity." IEEE Transactions on Signal Processing 63, no. 18 (2015): 4894–902. http://dx.doi.org/10.1109/tsp.2015.2446432.

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36

Machiraju, R., Zhifan Zhu, B. Fry, and R. Moorhead. "Structure-significant representation of structured datasets." IEEE Transactions on Visualization and Computer Graphics 4, no. 2 (1998): 117–32. http://dx.doi.org/10.1109/2945.694954.

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37

Molina, B., and L. E. Sansores. "Electronic structure of Ge3N4 possible structures." International Journal of Quantum Chemistry 80, no. 2 (2000): 249–57. http://dx.doi.org/10.1002/1097-461x(2000)80:2<249::aid-qua19>3.0.co;2-9.

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38

Peruzzi, Alberto. "Action of structures, structure of actions." Axiomathes 6, no. 3 (1995): 325–48. http://dx.doi.org/10.1007/bf02228983.

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39

Fruet, Cecilia, Ella Linxia Müller, Claude Loverdo, and Anne-Florence Bitbol. "Spatial structure facilitates evolutionary rescue by drug resistance." PLOS Computational Biology 21, no. 4 (2025): e1012861. https://doi.org/10.1371/journal.pcbi.1012861.

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Bacterial populations often have complex spatial structures, which can impact their evolution. Here, we study how spatial structure affects the evolution of antibiotic resistance in a bacterial population. We consider a minimal model of spatially structured populations where all demes (i.e., subpopulations) are identical and connected to each other by identical migration rates. We show that spatial structure can facilitate the survival of a bacterial population to antibiotic treatment, starting from a sensitive inoculum. Specifically, the bacterial population can be rescued if antibiotic resis

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40

Yang, Dongxia, and Changsheng Fan. "The Mechanical Properties of Wood-Based Grid Sandwich Structures." Forests 13, no. 6 (2022): 877. http://dx.doi.org/10.3390/f13060877.

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In order to reduce the weight of the panels used in buildings and minimize the use of wood, it is of great practical significance to study the mechanical properties of wood-based sandwich structures for adaptation to modern wood-structured buildings. In this paper, a wood-based pyramid structure specimen with large interconnection space was designed and prepared first. Based on the results of the flat compression, in order to strengthen the core layer of the sandwich structure, an interlocking grid structure can be used. The mechanical properties of two kinds of structure specimens, including

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41

Stroo-Moredo, Elena, and Marnix Krikke. "Improving the Reuse of Design Data during the Tender Phase." Journal of Ship Production and Design 31, no. 02 (2015): 67–78. http://dx.doi.org/10.5957/jspd.2015.31.2.67.

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This article presents a methodology to improve the reuse of design data in the tender phase. This methodology consists of the implementation of two novel structures: a Functional Breakdown Structure and a System Breakdown Structure. The first provides a tool to capture that key data, which is currently missing, for the reuse at an early stage of design. The second structure ensures that the design data are structured, documented, and easy accessible and retrievable for new tenders. The two structures are linked to ensure the traceability and reusability of design data for new tenders.

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42

Cui, Lijuan, and Viktoriia Medvid. "Interactive relationship between China’s industrial structure and human resources employment structure." Problems and Perspectives in Management 20, no. 1 (2022): 177–89. http://dx.doi.org/10.21511/ppm.20(1).2022.16.

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This study aims to understand the relationship between China’s industrial structure and human resources employment structure. This paper reviewed the relevant data from the China Statistical Yearbook, China Population and Employment Statistical Yearbook between 2010 and 2019 and quantitatively analyzed the interrelationship between the two using the CORREL function, employment elasticity coefficient, and employment structure deviation coefficient. Results indicate that the two have a strong correlation, but the coordination is poor; from the perspective of stimulating economic effect on employ

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43

Smolyak, S. S. "Electronic structure and atomic structure peculiarities of isomorphic modified zinc diphosphates." Functional materials 21, no. 1 (2014): 80–85. http://dx.doi.org/10.15407/fm21.01.080.

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44

TAKEYA, H., T. OZAKI, and N. TAKEDA. "SMS-30: Fabrication of Highly Reliable Advanced Grid Structure(SMS-V: SMART MATERIALS AND STRUCTURES, NDE)." Proceedings of the JSME Materials and Processing Conference (M&P) 2005 (2005): 43–44. http://dx.doi.org/10.1299/jsmeintmp.2005.43_3.

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45

Martin, J. R., and Y. J. Doran. "Structure markers." Language, Context and Text 5, no. 1 (2023): 16–48. http://dx.doi.org/10.1075/langct.22007.mar.

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Abstract In this paper we revisit the association of types of structure with modes of meaning in systemic functional linguistics (SFL). Focusing mainly on nominal group grammar, we argue that the association of experiential structure with non-recursive systems realised by multivariate structures and logical structure with recursive systems realised by univariate structures needs to be relaxed – in recognition of dependency structures consisting of two elements in a head/dependent relation. We refer to such structures as subjacency duplexes and explore their potential for the analysis of what a

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46

Kouichirou, Anno, and Takeshi Nishihata. "DEVELOPMENT ON OFFSHORE STRUCTURE." Coastal Engineering Proceedings 1, no. 32 (2011): 50. http://dx.doi.org/10.9753/icce.v32.structures.50.

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Authors have developed the offshore structure for control of sea environment named S-VHS construction method, which is composed of the sloping top slit-type caisson and steel pipe piles. The sloping top form enables to realize the remarkable reduction of wave force exerted on the dike body compared with the conventional one. In this paper, hydraulic feature with wave dissipation ability and wave force reduction effect are verified through some hydraulic experiments. After the preliminary study for the valid structure form, reflection and transmission ability for t

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47

Li, Shujie, Liang Li, Ruiying Geng, et al. "Unifying Structured Data as Graph for Data-to-Text Pre-Training." Transactions of the Association for Computational Linguistics 12 (2024): 210–28. http://dx.doi.org/10.1162/tacl_a_00641.

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Abstract Data-to-text (D2T) generation aims to transform structured data into natural language text. Data-to-text pre-training has proved to be powerful in enhancing D2T generation and yields impressive performance. However, previous pre-training methods either oversimplified structured data into a sequence without considering input structures or designed training objectives tailored for a specific data structure (e.g., table or knowledge graph). In this paper, we unify different types of structured data (i.e., table, key-value data, knowledge graph) into the graph format and cast different D2

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48

Mieldzioc, Adam. "Estimation methods for a linearly structured covariance matrix." Biometrical Letters 60, no. 2 (2023): 217–23. http://dx.doi.org/10.2478/bile-2023-0016.

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Abstract (sommario):

Summary Covariance matrices with a linear structure are widely used in multivariate analysis. The choice of the most appropriate covariance structure can be made from a class of possible linear structures. Once we have made the choice, an important question is how we can estimate the covariance matrix for a given covariance structure. This article describes methods used to estimate the structured covariance matrix, and indicates the advantages and disadvantages of the selected methods.

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49

Lu, Yaxin, Jeremy Richmond, Kekic Murat, Jianlin Yin, and Brett Hambly. "2P039 Structural defects in fibrillin associated with Marfan syndrome(01B. Protein: Structure & Function,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S165. http://dx.doi.org/10.2142/biophys.53.s165_3.

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50

Baek, Mihwa, Masakatsu Kamiya, Taichi Nakazumi, et al. "3P011 Structural analysis of antimicrobial peptide CP1 with LPS by NMR(01A. Protein: Structure,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S213. http://dx.doi.org/10.2142/biophys.53.s213_5.

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