Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
A novel series of azido sulfamethoxazole derivatives containing 1,2,3-triazole moiety was synthesized from alkyne barbiturate derivatives and azido sulfamethoxazole(1a) [4-Azido-N-(5-methylisoxazol-3-yl) benzenesulfonamide] in the presence of CuCl as a catalyst and cycloaddition of azidealkyne as a key proce and all chemical structure was confirmed utilizing several analytical methods. The target synthesized compounds were screened for their anti- antibacterial activities.
Human development focuses on equality and justice between women and men. Gender Development Index can be used for human development analysis. The GDI value is the ratio between the human development index of women and men. Human development problems in coastal rural-based areas are a very complex system. The method of data analysis by the systems approach is a dynamic systems model. A dynamic system is a methodology that focuses on policy-making and how the policy determines the behavior of problems that can be dynamically modeled by the system. The purpose of this study is to analyze a gender development policy scenario with a dynamic system model. Data was collected from secondary sources, namely from the book Gender-based Human Development. The results of the analysis show the best scenario in a coastal rural-based area. The best scenario for the policy are expected number of school years -female = 13.5 years, length of school rate _female = 12 years, purchasing_power_female = 16.3 (ln 12,000,000) from the fact 15.79 (ln 7,171,000).