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. Asia Life Sciences
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:
Metal pollution of water ways directly affects human health and can impact the food chain. Toxic trace metals in canned foods may occur as a result of polluted water or by migration from the packing material. The purpose of in this study was to analyze the concentration of selected toxic elements including Pb, Cu, Cd and dietary metals Zn and Mn in 10 each can from five different brands (local and imported) of canned tuna fish were quantitatively determined by acid digesting method and atomic absorption spectroscopic method. All samples were collected from different city marts in Yangon. The concentration of metals (toxic and essential) in five different brands were found to be observed in the range of 0.0195 to 0.0209 mg/ l for Mn, 0.300 to 0.304 mg/l for Zn, 0.053 to 0.039 mg/l for Cd of local brands. In imported canned tuna brands, the concentration of Mn and Zn, were observed in the range of 0.0171 to 0.0218 mg/l, and 0.261 to 0.343 mg/l. The concentration of some toxic elements Cd, Pb and Cu in different imported brands were observed in the range of 0.044 to 0.051 mg/l for Cd. The concentration of Pb and Cu were not detected in all brands (local and imported) of tuna canned. The average concentrations of all toxic and essential metals were much lower than the reference limit (WHO/FAO). Based on the obtained results it can be concluded that the all canned samples (local and imported) are free from heavy metal contamination
Heart sound is the sound produced from the mechanical activity of the heart. Some researchers say the sound of the heart occurs from the opening and closing of the heart valve; some researchers say it occurs due to the eddy flow of blood in the heart chamber. Heart in a healthy condition produces certain heart sounds, while an unhealthy heart produces different heart sounds. Various studies have tried to develop a method for classifying heart sounds using digital signal processing methods. The proposed method generally consists of the feature extraction method and classifier. In this study, continuous wavelet transforms and residual neural network (ResNet-50) were used to classify normal and abnormal heart sounds. The lowest error-rate of 0.066 was achieved using 130x130 features. This result was quite competitive compared to previous research. The proposed method is ready to be tested on a dataset with more heart sounds abnormalities
