Effect of process parameters and talc ratio on hot plate welding of polypropylene

This study analyzes the influence of different talc ratios on weld strength of polypropylene joined with hot plate welding process. It further determines the optimum welding parameter settings to achieve the optimum weld strength and observes the effect of process parameters, namely plate temperature and heating time on the joint quality. Process parameters were considered as variables and their effect, interactions and relative significance were investigated by utilizing design of experiment. Simultaneously, a mathematical predictive model of the weld strength was developed in terms of welding parameters. The model can predict effectively weld strength with a 95% confidence level.     

Crustal stress changes and characteristics of damage to geo-engineering structures induced by the Great East Japan Earthquake of 2011

Bulletin of Engineering Geology and the Environment - T he Great 2011 Earthquake of East Japan, with a moment magnitude of 9.0, occurred off the shore of the Tohoku Region of Japan. Although...     

Utilisation of waste clay from boron production as a landfill liner material

The objective of this study was to investigate the potential utilisation of waste clay from boron production in sanitary landfills. The waste clay (CW) was mixed with bentonite (B) and waste tyre (TW) at different ratios. Results show that, any of the CW-TW mixtures were not acceptable to use in landfills because of insufficient bearing capacity values. On the other hand, CW and 2B/98CW mixtures have sufficient values from the point of experimental tests. As a conclusion, it has been concluded that CW can be used as a liner material for landfills without an addition.     

Effect of dietarytrans fatty acids on microsomal enzymes and membranes

Three groups of rats were maintained on diets containing different proportions oftrans fatty acids (0, 18.3 or 36.6% of the total fatty acids) for eight weeks. No differences in body weight were observed among the three groups, but the fat cell size, determined in epididymal fat, differed significantly between the controls and the rats fed diets containingtrans fatty acids. The supernatant obtained by centrifuging homogenates of liver from the rats at 9000×g (S-9 fraction) was used as an activator in a bacterial test for mutagenicity of 2-aminofluorene and aflatoxin B₁ usingSalmonella typhimurium strains TA 98 and TA 100, respectively. The mutagenicities of 2-aminofluorene in strain TA 98 and of aflatoxin B₁ in strain TA 100 were significantly lower with the liver S-9 fraction from rats fed a diet containing 36.6%trans fatty acids than with the liver S-9 fraction from rats fed a control diet with notrans fatty acids.     

Spracherkennung mit Hidden Control Neural Networks

Hidden control neural networks (HCN networks) are suitable for a variety of pattern recognition techniques. The speech recognizer described here is built for speaker-independent single-word recognition and is intended to implement user interfaces to control devices via simple word-commands. To evaluate the speech recognizer, it has been applied to minimum pairs. Within a minimum pair two words differ only in a single phoneme. It was achieved to increase the recognition rate while taking those periods of time especially into account, that are found to contain the relevant difference.     

Data-Mining-Anwendungsarchitektur

The ability to combine domain specific knowledge and special knowledge about using mathematical-statistical methods for analyzing big data bases at present time is not wide-spread in science and business. For the near future, an increase in data mining applications can be expected. So, one needs instruments to support non-specialists in using specific knowledege about data mining. In this paper a data mining architecture is introduced. Its main advantage is to offer a systematical scheme for data mining methods. These methods are structured with reference to applications. The data mining application architecture is a decision and structuring support for data mining problems to users, scientists and students.