Institution
Technical University of Ostrava
Education•Ostrava, Czechia•
About: Technical University of Ostrava is a education organization based out in Ostrava, Czechia. It is known for research contribution in the topics: Artificial neural network & Evolutionary algorithm. The organization has 4186 authors who have published 8936 publications receiving 65393 citations. The organization is also known as: Vysoká škola báňská – Technická univerzita Ostrava & VŠB – Technical University of Ostrava.
Topics: Artificial neural network, Evolutionary algorithm, Population, Fuzzy logic, Finite element method
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a prototype of a system for the active vibration control of journal bearings with the use of piezoactuators is presented. But this system is not suitable for high-speed rotors supported by sliding bearings.
58 citations
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TL;DR: Since the evaluation criteria proposed for PPDM are insufficient and inappropriate for evaluating the sanitization performed by PPUM algorithms, three similarity measures are introduced to respectively assess the database structure, database utility and item utility of a sanitized database.
57 citations
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TL;DR: In this article, the doped barium hexaferrite, BaFe 12− x (Mg 05 Ti 05 ) x O 19 with 1≤ x ≤ 5, is synthesized by a solid state ceramic method.
57 citations
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01 Jan 2009TL;DR: System works offline, whereas synchronization mobile arrangement with data in database is made only in agency by the help of technology USB, Bluetooth or WiFi, but the system has also the possibility to work in the online mode.
Abstract: Our project deal with the system development of personal sources in area of home care agencies. System consists of the three main parts - PC application, mobile application and database server. All these parts are built on Microsoft .NET solution namely on performances .NET Framework 3.5 and MS SQL server 2008, .NET Compact Framework 3.5 and MS SQL server 3.5 Compact Edition. System works offline, whereas synchronization mobile arrangement with data in database is made only in agency by the help of technology USB, Bluetooth or WiFi. However the system has also the possibility to work in the online mode, allows the interviewing on database by the use of the web services. Software layer synchronization administration data is based on technologies ADO .NET and Linq. System will further develop and will base for advancement biomedical science research framework.
57 citations
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TL;DR: The study shows chitosan-based quantum dots to be promising for biomedical applications such as cell labelling, diagnostics or controlled drug delivery and release systems.
Abstract: Rapid development in medicine and pharmacy has created a need for novel biomaterials with advanced properties such as photoluminescence, biocompability and long-term stability. The following research deals with the preparation of novel types of N-doped chitosan-based carbon quantum dots. Nanomaterials were obtained with simultaneous nitrogen-doping using biocompatible amino acids according to Green Chemistry principles. For the carbon quantum dots synthesis chitosan was used as a raw material known for its biocompability. The nanomaterials obtained in the form of lyophilic colloids were characterized by spectroscopic and spectrofluorimetric methods. Their quantum yields were determined. Additionally the cytotoxicity of the prepared bionanomaterials was evaluated by XTT (2,3-Bis-(2-methoxy-4-nitro5-sulfophenyl)-2H-tetrazolium-5-carboxanilide salt) method. Our results confirmed the formation of biocompatible quantum dots with carbon cores exhibiting luminescence in visible range. Performed studies showed that modification with lysine (11.5%) and glutamic acid (7.4%) had a high impact on quantum yield, whereas functionalization with amino acids rich in S and N atoms did not significantly increase in fluorescence properties. XTT assays as well as morphological studies on human dermal fibroblasts confirmed the lack of cytotoxicity of the prepared bionanomaterials. The study shows chitosan-based quantum dots to be promising for biomedical applications such as cell labelling, diagnostics or controlled drug delivery and release systems.
57 citations
Authors
Showing all 4213 results
Name | H-index | Papers | Citations |
---|---|---|---|
Pavel Hobza | 107 | 564 | 48080 |
Stanislav Pospisil | 105 | 966 | 44510 |
Salvatore Capozziello | 97 | 916 | 39364 |
Ajith Abraham | 86 | 1113 | 31834 |
Roland A. Fischer | 84 | 731 | 33014 |
Radek Zboril | 74 | 359 | 29404 |
Shuichi Miyazaki | 69 | 455 | 18513 |
Michal Otyepka | 66 | 345 | 17943 |
Mark H. Rümmeli | 63 | 403 | 14536 |
Enrique Alba | 57 | 530 | 14535 |
Radek Zbořil | 56 | 255 | 11980 |
Jeng-Shyang Pan | 50 | 789 | 11645 |
Pavel Tomancak | 46 | 139 | 44797 |
Pavel Kubát | 37 | 166 | 3844 |
Vladimir Šepelák | 37 | 148 | 3927 |