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Azza M. Abdel-Aty,Alshaimaa M. Elsayed,Hala A. Salah,Roqaya I. Bassuiny,Saleh A. Mohamed 한국식품과학회 2021 Food Science and Biotechnology Vol.30 No.5
Little studies on chia sprouts were not deeplyaddress the polyphenols profiles and their functionalproperties during long period of germination. This studyaims to evaluate the impact of germination process on thephenolic profile, antioxidant and antibacterial propertiesand relevant enzymes activities of Egyptian chia seeds. Thetotal phenolic and flavonoid contents of chia sproutsincreased several times during ten days of germination andmaximized on 7-day sprouts (6.4 and 11.5 folds, respectively). In HPLC analysis, seventeen phenolic compoundswere detected on 7-day sprouts compared to fifteen in dryseeds, where two new phenolic compounds (p-coumaricacid and kaempferol) were detected. The concentrations ofall the identified phenolic compounds increased severalfolds (1.8–27) on 7-day sprouts. The total antioxidantactivity increased 10, 17, and 29 folds on 7-day sproutsusing DPPH, ABTS and PMC antioxidant methods,respectively compared to the dry seeds. Both antioxidantand carbohydrate-cleaving enzymes increased in chiasprouts and correlated with their phenolic content andantioxidant activity. The phenolic content of 7-day sproutsshowed a potent antibacterial activity against some humanenteric pathogenic bacteria including Escherichia coliO157-H7, Salmonella typhi, Pseudomonas aeruginosa andStaphylococcus aureus with lower MIC values compared tothe raw seeds.
Analysis of residence characteristics of at-fault drivers in traffic crashes
Lee, J.,Abdel-Aty, M.,Choi, K. Elsevier 2014 Safety science Vol.68 No.-
In recent years many studies have investigated traffic crashes with various contributing factors at the macroscopic level. Nevertheless, while previous studies have concentrated only on zones where the crash occurred, there have been few studies that focused on residence characteristics associated with the origin of the drivers causing traffic crashes, so called at-fault drivers. Intuitively, it is reasonable to assume that the number of at-fault drivers is related to socio-demographic features of the at-fault drivers' residence area. Thus, the main objective of this study is to find out the relationship between the number of at-fault drivers and zonal characteristics of the residence where at-fault drivers came from. The Bayesian Poisson-lognormal model was adopted to find out the contributing factors of the residence zones on the number of crashes based on the at-fault drivers. The findings from the study implied that the crash occurrence is not only affected by roadway/traffic factors but also by several demographic and socioeconomic characteristics of residence zones. The result from this study can be used to identify zones with a higher potential of at-fault drivers; thus we can concentrate on these zones for safety treatments, including more targeted awareness, education or stricter enforcement.
Azza M. Abdel-Aty,Amal Z. Barakat,Saleh A. Mohamed 한국식품과학회 2023 Food Science and Biotechnology Vol.32 No.1
The obtained garden cress 6-day sprouts phenolic-rich extract (GCSP) contained efficient health-promoting antioxidant-phenolic compounds. To improve the stability, bioavailability, and functional properties of these valuable phenolic compounds, GCSP was encapsulated by freeze-drying technique using different ratios of garden cress gum (GG) and maltodextrin (M) in the absence and presence of sonication (S). The prepared S/GG-microcapsule retained the highest phenolic content (95%), antioxidant activity (141.6%), and encapsulation efficiency (98.2%). It displayed the highest bio-accessibility of GCSP-phenolic compounds in simulated intestine fluid (87%) and demonstrated the greatest storage-stability at 40 °C for 60 days. S/GG-microcapsule possessed better physical properties including moisture, solubility, swelling, and morphological structures using SEM. The main spectral features, crosslinking, and improved thermal stability were demonstrated for S/GG-microcapsule using FTIR and thermogravimetric analyses. S/GG-microcapsule demonstrated much greater antibacterial activity than GCSP against pathogenic bacteria. S/GG-microcapsule can be added to different food products to improve their antioxidant and antibacterial properties.
Abeer A. Abd El Aty,Gehan T. El-Bassyouni,Nabawia A. Abdel-Zaher,Osiris W. Guirguis 한국섬유공학회 2018 Fibers and polymers Vol.19 No.9
In the present study, a novel eco-friendly production of silk fabrics dyed with different natural dye bath concentrations (40, 80, 120, 160, 200 and 240 g/l) extracted from neem (Azadirachta indica) leaves was developed. The surface morphology of the fabrics was examined by scanning electron microscopy (SEM) and Fourier-transform infrared (FTIR) spectroscopy to characterize the chemical structure of the fabrics. The SEM images of the undyed fabric show that the fabric was tightly woven with little porosity between the fibres with dozens of silk threads in orthogonal directions. By increasing the neem concentration, a scale of fine particles grew on the surface of the silk fabrics with little macroscopical defects was demonstrated. The fiber diameters and tightness between filaments were significantly increased. The FTIR displayed that, neem dye does not change the characteristic peaks of the silk fabrics. Also, the evaluation of the antimicrobial activity of the undyed and neem dyed silk fabrics was monitored for Gram positive and Gram negative bacteria in addition to yeasts and fungi by using the agar diffusion method. The comparison between the different dye bath concentrations was based on the inhibition zones obtained after incubation. The antimicrobial activity in leaf extract of neem was estimated in Staphylococcus aureus, Bacillus subtilis and Lactobacillus cereus (Gram positive bacteria); Escherichia coli (Gram negative bacteria); Candida albicans and Candida tropicalis (yeasts); and Aspergillus niger and Fusarium solani (fungi). The results emphasized that, the highest neem dye bath concentration (240 g/l) was found to display good inhibitory effect against the Gram positive and reasonable activity against the Gram negative bacteria. Furthermore, the different dye bath concentrations possess no activities against yeast and fungi. In conclusion, the data reveal that the increase of neem dye concentration does not damage the silk fabric; however, it improves its antimicrobial activity by incorporating with antimicrobial agent. The current study highlighted that using neem leaves had beneficial effect in controlling the pathogenic microbial organisms.
Comparing U-Net convolutional network with mask R-CNN in Nuclei Segmentation
Zanaty, E.A.,Abdel-Aty, Mahmoud M.,ali, Khalid abdel-wahab International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.3
Deep Learning is used nowadays in Nuclei segmentation. While recent developments in theory and open-source software have made these tools easier to implement, expert knowledge is still required to choose the exemplary model architecture and training setup. We compare two popular segmentation frameworks, U-Net and Mask-RCNN, in the nuclei segmentation task and find that they have different strengths and failures. we compared both models aiming for the best nuclei segmentation performance. Experimental Results of Nuclei Medical Images Segmentation using U-NET algorithm Outperform Mask R-CNN Algorithm.