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  • 1
    Publication Date: 2018-06-28
    Description: This paper aims to contribute understanding of industrial dynamics of Gaziantep Province. The analysis is based on the survey data obtained in the research project named Industrial Inventory of SEAP and Transformation Tendencies in Industry funded by TUBITAK. The survey data was obtained by face to face interviews in 2057 companies in Gaziantep. But, the response rate was % 51,35 , in other words, 1056 companies were included in this paper. The inquiry consisted of 120 questions that are either multiple choice or short answer. For this study, 40 variables were chosen from the survey results which might indicate industrialization dynamics of Gaziantep. SPSS software version 15.0 was used to perform statistical analysis. First, frequency distribution tables were composed for each question and comparisons through cross-tabulations were performed to assess relations between categorical variables. At this stage, main findings were discussed and illustrated with summary tables and figures. Then, a logistic regression model was created and to formalize the study, variables that can possibly have influences on the competitiveness and export dynamics of the companies in Gaziantep were determined. According to this analysis; working capital, capacity use ratio, firm scale, ownership of firms' property, computerization of firms and educational attainment are found to be important variables for competitiveness of the firms in the district of Gaziantep.
    Keywords: ddc:330 ; Regional Economics ; Industry of Gaziantep ; Logistic Regression Analysis
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: Turkish
    Type: doc-type:workingPaper
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  • 2
    ISSN: 0044-2313
    Keywords: Thia- and selena-arachno-undecaborane ; preparation ; spectroscopy ; ab initio/IGLO ; GIAO/NMR method ; crystal structure ; Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Description / Table of Contents: Thia- and Selena-arachno-undecaborane 6,7-μ-(CH3E)B10H13. Crystal Structure of arachno-6,7-μ-(CH3Se)B10H13. Theoretical Investigations of the Molecular Structures and 11B NMR Shifts of arachno-6,7-μ-(CH3E)B10H13The reaction of B10H14 with (CH3)2S yields with loss of H2 the base adduct 6,9-[(CH3)2S]2B10H12. Although an analogous reaction between B10H14 with disulfanes or diselenanes was expected to produce 6,9 bridged dichalcogen derivatives, (CH3)2S2 failed to react even under reflux conditions. Trisulfane (CH3)2S3 does react, but the pathway is different and leads to (CH3S)B10H13 2 without loss of H2. Unlike of (CH3)2S2, (CH3)2Se2 yields (CH3Se)B10H13, 3. Both 2 and 3 are formed by substitution of a bridging hydrogen and could be obtained in pure form and characterized 11B NMR spectroscopically. A single crystal X-ray structure analysis also was performed on 3 (space group P21/c). The molecular structures of 2 and 3 were optimized at the MP2 level and 11B NMR shifts were computed at the IGLO-SCF, GIAO-SCF and GIAO-B3LYP levels of theory.
    Notes: Bei der Reaktion zwischen B10H14 und (CH3)2S erfolgt unter H2-Abspaltung eine zweifache Adduktbildung, die zu 6,9-[(CH3)2S]2B10H12 führt. Die analoge Umsetzung zwischen B10H14 mit Disulfanen bzw. Diselenanen führte jedoch nicht zu den 6,9-Dichalkogen-verbrückten Derivaten. Bei der Umsetzung mit (CH3)2S2 findet selbst unter Refluxbedingungen keine Reaktion statt, wohl aber mit dem Trisulfan (CH3)2S3. Die Reaktion verläuft aber nicht unter H2-Abspaltung. Vielmehr wird dabei ein Brücken-H-Atom durch eine CH3S-Gruppe substituiert unter Bildung von (CH3S)B10H13 2. Im Gegensatz zu (CH3)2S2 findet aber mit (CH3)2Se2 ebenfalls eine Brücken-H-Substitution statt, wobei (CH3Se)B10H13 3 gebildet wird. 2 und 3 konnten in reiner Form isoliert und 11B-NMR-spektroskopisch charakterisiert werden. Von 3 wurde eine Röntgenstrukturanalyse durchgeführt (Raumgruppe P21/c) und von 2 und 3 die Molekülstrukturen auf MP2-Niveau optimiert sowie 11B-NMR- Verschiebungen mit IGLO-SCF, GIAO-SCF und GIAO-B3LYP berechnet.
    Additional Material: 3 Ill.
    Type of Medium: Electronic Resource
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