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SOLTAN, EL-SAYED. M. 한국미생물 · 생명공학회 2001 Journal of microbiology and biotechnology Vol.11 No.1
Different polluted water samples were collected from a wastewater treatment plant, agricultural drainage canals, the River Nile, and irrigation canals. The samples were examined for the enumeration of Pseudomonas aeruginosa in the Sohag area, Egypt over a period of one year. A total of 240isolates were collected and tested for their resistance to 12common antibiotics and 6heavy metals. The isolates were found to be less resistant to norfloxacin (1.7%), ofloxacin (4.6%), amikacin (9.6%), tobramycin (10.4), carbenicillin (15.4), and gentamycin (41.3%), yet more sensitive to rifampicin (75%), kanamycin (89.6%), ampicillin (90.8%), chloramphenicol (91.7%), streptomycin (92.9%), and tetracyclin (96.3%). In contrast, 7.1%, 12.9%, 25.4%, and 53.7% of the isolates were resistant to lead, cadmium, mercury, and zinc, respectively. None of the isolates had developed a resistance to silver or molybdenum. The high frequency of metal-antibiotic double resistance existed between lead and amikacin (56.5%), cadmium and ofloxacin (72.7%), zinc and norfloxacin (100%), and mercury and carbenicillin (94.6%). The high occurrence of antibiotic-resistant bacteria in natural water could be related to the widespread use of antibiotics, with possible public health hazard.
State of the Art of finite GMM Based Biometrics Face Authentication Systems
Soltane Mohamed 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.11
This paper presents a comparative analysis of the performance of three estimation algorithms: Expectation Maximization (EM), Greedy EM Algorithm (GEM) and Figueiredo-Jain Algorithm (FJ) - based on the Gaussian mixture models (GMMs) for a Dynamic Biometrics Face Authentication Systems. An automated biometric systems for human identification measure a “signature” of the human body, compare the resulting characteristic to a database, and render an application dependent decision. A Dynamic Face From eNTERFACE 2005 Database is used and Simulation shows that finite mixture modal (GMM) is quite effective in modelling the genuine and impostor score densities. Hence, the still face information scheme based on dynamic biometrics face is robust and could be explored for identity authentication.
Soltane Mohamed 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.4
In this paper, the use of finite Gaussian mixture modal (GMM) based Expectation Maximization (EM) estimated algorithm for score level data fusion is proposed. Automated biometric systems for human identification measure a “signature” of the human body, compare the resulting characteristic to a database, and render an application dependent decision. These biometric systems for personal authentication and identification are based upon physiological or behavioral features which are typically distinctive, Multi-biometric systems, which consolidate information from multiple biometric sources, are gaining popularity because they are able to overcome limitations such as non-universality, noisy sensor data, large intra-user variations and susceptibility to spoof attacks that are commonly encountered in mono modal biometric systems. Simulation show that finite mixture modal (GMM) is quite effective in modelling the genuine and impostor score densities, fusion based the resulting density estimates achieves a significant performance on eNTERFACE 2005 multi-biometric database based on dynamic face and signature modalities.
M. El-Hagary,S. Soltan,M. Emam-Ismail,S. Althoyai 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.12
This study reports the structure and the magnetic properties of Zn1−xNixS nanocrystalline filmswith Ni composition ratios of 0.05 x 0.2. Thin films of Zn1−xNixS were deposited on Corningglass substrates by using an electron-beam evaporation method. X-ray diffraction patterns revealedsingle- phase films with a cubic zinc-blend-type structure with preferred crystallographic orientationsalong the (111) and the (220) planes. Evidence for the nanocrystalline nature of the films wasobserved from the investigations of the surface morphology by using scanning electron microscopyand atomic force microscopy. Magnetic domains were observed by using magnetic force microscopyat room temperature, indicating the existence of ferromagnetism over the film’s surface. The magneticmeasurements at 5 K revealed a superparamagnetic behavior. However, room-temperatureferromagnetism was observed in all the nanocrystalline Zn1−xNixS films. The saturation magnetizationfor the Zn1−xNixS films was found to increase with increasing dopant concentration (x). Anexchange interaction between local spin-polarized electrons (Ni2+ ions) and conductive electronsaccording to the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction mechanism is proposed as apossible mechanism for the ferromagnetism. These results show that the Ni-doped ZnS nanocrystallinefilms are promising materials for applications in spintronic and magnetic sensor devices.
Mona Moshiri,Mohammad Mehdi Soltan Dallal,Farhad Rezaei,Masoumeh Douraghi,Laleh Sharifi,Zahra Noroozbabaei,Mehrdad Gholami,Abbas Mirshafiey 질병관리본부 2017 Osong Public Health and Research Persptectives Vol.8 No.1
Objectives: Gastrointestinal disorders caused by Salmonella enterica serovar Enteritidis (SesE) are a significant health problem around the globe. Probiotic bacteria have been shown to have positive effects on the immune responses. Lactobacillus acidophilus was examined for its capability to influence the innate immune response of HT29 intestinal epithelial cells towards SesE. The purpose of this work was to assess the effect of L. acidophilus PTCC 1643 on cultured intestinal epithelial cells infected with SesE. Methods: HT29 cells were cultured in Roswell Park Memorial Institute medium supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin. The cells were treated with L. acidophilus PTCC 1643 after or before challenge with SesE. At 2 and 4 hours post-infection, we measured changes in the expression levels of TLR2 and TLR4 via real-time polymerase chain reaction. Results: Treatment with L. acidophilus inhibited SesE-induced increases in TLR2 and TLR4 expression in the infected HT29 cells. Moreover, the expression of TLR2 and TLR4 in cells that were pretreated with L. acidophilus and then infected with SesE was significantly higher than that in cells infected with SesE without pretreatment. Taken together, the results indicated that L. acidophilus had an anti-inflammatory effect and modulated the innate immune response to SesE by influencing TLR2 and TLR4 expression. Conclusion: Our findings suggested that L. acidophilus PTCC 1643 was able to suppress inflammation caused by SesE infection in HT29 cells and reduce TLR2 and TLR4 expression. Additional in vivo and in vitro studies are required to further elucidate the mechanisms underlying this anti-inflammatory effect.