71 research outputs found
CCDC 1048123: Experimental Crystal Structure Determination
No full textEJANOU : catena-[(μ-4,4',4'',4'''-cyclobutane-1,2,3,4-tetrayltetrapyridine)-bis(μ-terephthalato)-di-manganese] Space Group: P 1 (2), Cell: a 10.0354(7)Å b 10.8657(8)Å c 10.8045(9)Å, α 92.238(7)° β 98.521(5)° γ 121.811(5)° Related Article: Maw Lin Foo, Ryotaro Matsuda, Yuh Hijikata, Rajamani Krishna, Hiroshi Sato, Satoshi Horike, Akihiro Hori, Jingui Duan, Yohei Sato, Yoshiki Kubota, Masaki Takata, and Susumu Kitagawa|2016|J.Am.Chem.Soc.|138|3022|doi:10.1021/jacs.5b10491,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
CCDC 1008213: Experimental Crystal Structure Determination
No full textEJANIO : catena-[bis(μ-4,4'-ethene-1,2-diyldipyridine)-bis(μ-terephthalato)-di-manganese] Space Group: P 1 (2), Cell: a 9.296(6)Å b 10.188(7)Å c 12.034(8)Å, α 95.769(9)° β 99.637(3)° γ 115.673(8)° Related Article: Maw Lin Foo, Ryotaro Matsuda, Yuh Hijikata, Rajamani Krishna, Hiroshi Sato, Satoshi Horike, Akihiro Hori, Jingui Duan, Yohei Sato, Yoshiki Kubota, Masaki Takata, and Susumu Kitagawa|2016|J.Am.Chem.Soc.|138|3022|doi:10.1021/jacs.5b10491,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
CCDC 1008212: Experimental Crystal Structure Determination
No full textEJANEK : catena-[bis(μ-4,4'-ethene-1,2-diyldipyridine)-bis(μ-terephthalato)-di-manganese N,N-dimethylformamide solvate] Space Group: P 1 (2), Cell: a 10.0441(15)Å b 10.5253(16)Å c 11.3491(15)Å, α 78.453(8)° β 71.594(8)° γ 68.025(8)° Related Article: Maw Lin Foo, Ryotaro Matsuda, Yuh Hijikata, Rajamani Krishna, Hiroshi Sato, Satoshi Horike, Akihiro Hori, Jingui Duan, Yohei Sato, Yoshiki Kubota, Masaki Takata, and Susumu Kitagawa|2016|J.Am.Chem.Soc.|138|3022|doi:10.1021/jacs.5b10491,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
No full textIn the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
Synthesis and Characterization of a 1-D Porous Barium Carboxylate Coordination Polymer, [Ba(HBTB)] (H<sub>3</sub>BTB = Benzene-1,3,5-trisbenzoic Acid)
No full textAlgorithms for biomedical image reconstruction and rendering
No full textThe goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. This report details the project taken by the author which shows how the Insight Development ToolKit (ITK) can be used to develop biomedical images from radiography for image analysis.
For the project, the author illustrates how the various classes provided by ITK can be used to segment a particular image and how these classes, when combined with each other can produce an improved image which can be used to yield a better image analysis.
The results of this project are the segmented images and their statistical distribution within the original image.Bachelor of Engineering (Computer Engineering
A new technique for building maps of large scientific domains based on the cocitation of classes and categories
No full textOur objective is the generation of schematic visualizations as interfaces for scientific domain analysis. We propose a new technique that uses thematic classification (classes and categories) as entities of cocitation and units of measure, and demonstrate the viability of this methodology through the representation and analysis of a domain of great dimensions. The main features of the maps obtained are discussed, and proposals are made for future improvements and applications
Showing the essential science structure of a scientific domain and its evolution
No full textCategory cocitation and its representation through social networks is proving to be a very adequate technique for the visualization and
analysis of great scientific domains. Its combination with pathfinder networks using pruning values r=∞and q=n−1 makes manifest the essence of research in the domain represented, or what we might call the `most salient structure'. The possible loss of structural information, caused by aggressive pruning in peripheral areas of the networks, is overcome by creating heliocentric maps for each category. The depictions obtained with this procedure become tools of great usefulness in view of their capacity to reveal the evolution of a given scientific domain over time, to show differences and similarities between different domains, and to suggest possible new lines for development. This article presents the scientogram of the United States for the year 2002, identifying its essential structure. We also show the scientograms of China for the years 1990 and 2002, in order to study its particular national evolution.
Finally, we try to detect patterns and tendencies in the three scientograms that would allow one to predict or flag the evolution of a scientific domain
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