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EVALUATION OF ANTIBACTERIAL ACTIVITY OF METAL NANOPARTICLES AGAINST DIFFERENT PATHOGENIC BACTERIA
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In recent years, infectious diseases are increasingly being encountered in clinical settings. Due to the development of antibiotic resistance and the outbreak of these diseases caused by resistant pathogenic bacteria, the pharmaceutical companies and the researchers are now searching for new unconventional antibacterial agents. Recently, in this field, the application of nanoparticles is an emerging area of nanoscience and nanotechnology. For this reason, nanotechnology has a great deal of attention from the scientific community and may provide solutions to technological and environmental challenges. A common feature that these nanoparticles exhibit their antimicrobial behavior against pathogenic bacteria. In this report, we evaluate the antibacterial activity of Ag, Fe and ZnO nanoparticles against both Gram-negative (E. coli and P. aeruginosa) and Gram-positive (Staph. aureus) bacteria, using agar well diffusion method, as well as determine of minimal bactericidal concentrations by the broth dilution method. The results showed that antibacterial activities of these nanoparticles were found active against both Gram-positive and Gram-negative bacteria used in this study. Among the three nanoparticles, Ag nanoparticles have excellent bactericidal potential, while Fe nanoparticles exhibited the least bactericidal activity.

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Publication Date
Sun Nov 26 2017
Journal Name
Journal Of Engineering
Numerical Study of Heat Transfer Enhancement for a Flat Plate Solar Collector by Adding Metal Foam Blocks
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Numerical study has been conducted to investigate the thermal performance enhancement of flat plate solar water collector by integrating the solar collector with metal foam blocks.The flow is assumed to be steady, incompressible and two dimensional in an inclined channel. The channel is provided with eight foam blocks manufactured form copper. The Brinkman-Forchheimer extended Darcy model is utilized to simulate the flow in the porous medium and the Navier-Stokes equation in the fluid region. The energy equation is used with local thermal equilibrium (LTE) assumption to simulate the thermofield inside the porous medium. The current investigation covers a range of solar radiation intensity at 09:00 AM, 12:00 PM, and 04:00

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Publication Date
Tue Jun 05 2018
Journal Name
Journal Of Molecular Structure
Synthesis, characterization, experimental and theoretical structure of novel Dichloro(bis{2-[1-(4-methoxyphenyl)-1H-1,2,3-triazol-4-ylkN3] pyridine-kN})metal(II) compounds, metal ¼ Mn, Co and Ni
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The syntheses, characterizations and structures of three novel dichloro(bis{2-[1-(4-methoxyphenyl)-1H-1,2,3-triazol-4-yl-κN3]pyridine-κN})metal(II), [M(L)2Cl2], complexes (metal = Mn, Co and Ni) are presented. In the solid state the molecules are arranged in infinite hydrogen-bonded 3D supramolecular structures, further stabilized by weak intermolecular π…π interactions. The DFT results for all the different spin states and isomers of dichloro(bis{2-[1-phenyl-1H-1,2,3-triazol-4-yl-κN3]pyridine-κN})metal(II) complexes, [M(L1)2Cl2], support experimental measurements, namely that (i) d5 [Mn(L1)2Cl2] is high spin with S = 5/2; (ii) d7 [Co(L1)2Cl2] has a spin state of S = 3/2, (iii) d8 [Ni(L1)2Cl2] has a spin state of S =

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Publication Date
Thu Oct 01 2020
Journal Name
Journal Of Engineering Science And Technology
Automatic voice activity detection using fuzzy-neuro classifier
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Voice Activity Detection (VAD) is considered as an important pre-processing step in speech processing systems such as speech enhancement, speech recognition, gender and age identification. VAD helps in reducing the time required to process speech data and to improve final system accuracy by focusing the work on the voiced part of the speech. An automatic technique for VAD using Fuzzy-Neuro technique (FN-AVAD) is presented in this paper. The aim of this work is to alleviate the problem of choosing the best threshold value in traditional VAD methods and achieves automaticity by combining fuzzy clustering and machine learning techniques. Four features are extracted from each speech segment, which are short term energy, zero-crossing rate, auto

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Scopus
Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Protective effect of red cabbage and garlic extracts against Fumonisin B1 induced hepatotoxicity in male mice
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Abstract<p>Red cabbage and garlic extracts have protective effect against liver damage induced by fumonisin B1 (FB1) in male mice was studied. Randomly sixty mice have been divided in to six groups. Group one are the healthy mice, Group two are mice received oral dose of only FB-1 (100 μg/kg.b.w) once on daily for 1 month, Group three: mice received with red cabbage extract (500 mg/kg.bw) plus FB1, Group four: mice receiving just red cabbage extracts, Group five: mice receiving garlic extract (500mg/kg.bw) plus FB1, group 6: mice received only garlic extract. After finished the experiment, samples of blood were used for biochemical examination. The results indicated that group (2) mice treated </p> ... Show More
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Publication Date
Sun Sep 06 2015
Journal Name
Baghdad Science Journal
The Inhibitory Effect of Lactobacillus acidophilus and Lactobacillus plantarum against Candida albicans Associated with Denture Stomatitis
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In this study Candida speices was diagnosed in 26 swab samples from patients with denture stomatitis , investigates the antagonism activity of Lactobacillus was investigated against the yeast of Candida albicans in vitro.Results revealed that The inhibition effect of Lactic Acid Bacteria against C.albicans was examined in solid medium, L.plantarum gave higher inhibition average 11mm followed by L.acidophillus with average 9 mm and, L.fermentum , L.casei with averages 7 mm. Whereas the filtrates, the highest inhibition zone were 20 and 16 mm by L. plantarum and L.acidophillus, respectively.

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Publication Date
Mon Oct 13 2025
Journal Name
Mesopotamian Journal Of Cybersecurity
Improvement of the Face Recognition Systems Security Against Morph Attacks using the Developed Siamese Neural Network
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Face Recognition Systems (FRS) are increasingly targeted by morphing attacks, where facial features of multiple individuals are blended into a synthetic image to deceive biometric verification. This paper proposes an enhanced Siamese Neural Network (SNN)-based system for robust morph detection. The methodology involves four stages. First, a dataset of real and morphed images is generated using StyleGAN, producing high-quality facial images. Second, facial regions are extracted using Faster Region-based Convolutional Neural Networks (R-CNN) to isolate relevant features and eliminate background noise. Third, a Local Binary Pattern-Convolutional Neural Network (LBP-CNN) is used to build a baseline FRS and assess its susceptibility to d

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Publication Date
Wed Jun 01 2016
Journal Name
Ieee Transactions On Neural Systems And Rehabilitation Engineering
Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees
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Publication Date
Wed Apr 28 2021
Journal Name
Plants/mdpi
Neuroprotective Assessment of Moringa oleifera Leaves Extract against Oxidative‐Stress‐Induced Cytotoxicity in SHSY5Y Neuroblastoma Cells
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The current trend worldwide is searching plant extracts towards prevention of neurodegenerative disorders. This study aimed to investigate the neuroprotective effect of Alpinia galanga leaves (ALE), Alpinia galanga rhizomes (ARE), Vitis vinifera seeds (VSE), Moringa oleifera leaves (MLE), Panax ginseng leaves (PLE) and Panax ginseng rhizomes (PRE) ethanolic extracts on human neuroblastoma (SHSY5Y) cells. The 1‐diphenyl‐1‐picrylhydrazyl (DPPH) radical scavenging of VSE and MLE were 81% and 58%, respectively. Ferric‐reducing antioxidant power (FRAP) of ALE and MLE (33.57 ± 0.20 and 26.76 ± 0.30 μmol Fe(ΙΙ)/g dry wt., respectively) were higher than for the other extracts. Liquid chromatography coupled to quadrupole time‐of‐fli

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Publication Date
Tue Apr 30 2024
Journal Name
International Journal Of Phytopathology
Role of Arbuscular Mycorrhiza (AM) Fungi and Lignin in Biological Control against Vascular Fusarium Wilt Disease
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The current study aimed to assess the biological efficacy of the triple arbuscular mycorrhiza (AM) mixture of fungi Glomus etunicatum, G. leptotichum and Rhizophagus intraradices, and mix it with organic matter (O) and pathogenic fungi Fusarium oxysporum f.sp.lycopersici by using voyeurism in the plastic house in the growth of the tomato plant after four and eight weeks of cultivation. The results were shown after the treatment of the tomato plant in agriculture with the mixture of mycorrhiza and the pathogenic fungi and organic matter were treated with the mixture of mycorrhiza, organic matter and pathogenic fungi together. The effect of mycorrhiza and organic matter interference on the increase in the percentage of the lignin afte

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Publication Date
Fri Dec 27 2024
Journal Name
The Iraqi Journal Of Veterinary Medicine
Evaluating the Hepatoprotective Potential of Ginger Ethanolic Extract Against Lambda-Cyhalothrin-Induced Toxicity in Male Rats
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Ginger (Zingiber officinale Rosc.) is a traditional plant that is widely used as a spice or folk medicine. Lambda-cyhalothrin (LCT) is a synthetic pyrethroid that is widely used to control insecticide. The present study aimed to evaluate the potential protective effect of ginger ethanolic extract (GEE) on liver toxicity experimentally induced by LCT in albino rats. The experiment involved thirty adult male rats (‎Rattus norvegicus)‎, randomly ‎allocated to ‎one of three groups (n=10/group: control group, administered distilled water orally for 12 weeks‎; ‎LCT-treated group, received 5.43 mg/kg BW ‎(1/15 LD50‎ dose calculated in this study as 81.5 mg/kg BW) orally, for 12 weeks;‎ LCT-‎GEE-treated group, received t

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