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Identification and Molecular Detection of Klebsiella spp. from the Buccal Cavity of Humans and Dogs
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Klebsiella infections in the oral cavities of both humans and dogs have been increasingly reported and are associated with various buccal infections, as well as systemic infections. These infections appear to be rising particularly among pets and their owners, suggesting a possible bidirectional transmission between humans and dogs. Therefore, this study aimed to investigate the potential link of mixed infections involving Klebsiella pneumoniae and Enterococcus spp. Buccal cavity samples were collected from humans (n = 25) and dogs (n = 25). Samples were initially enriched in tryptic soy broth and subsequently cultured on tryptic soy agar, MacConkey agar, and blood agar. All isolates were identified using the VITEK 2 system, and eight selected isolates were further analyzed by 16S rRNA gene PCR. In humans, Klebsiella spp. were detected in 24% of samples by primary isolation, 44% by VITEK 2 analysis, and 12% were confirmed by 16S rRNA PCR. In dogs, primary isolation and VITEK 2 identification both showed a prevalence of 28%, while 20% were confirmed by 16S rRNA PCR. Among human samples, isolates were detected in 10% of males and 13.3% of females, whereas in dogs, 14.3% of males and 27.3% of females were positive. The results revealed that K. pneumoniae accounted for 66.7% and Enterococcus faecalis for 33.3% of isolates from humans, while in dogs, K. pneumoniae represented 80% and E. faecalis 20% of the isolates. These findings highlight the potential significance of transmission of these bacterial species between humans and dogs.

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
Molecular Typing of Two Suspected Cutaneous Leishmaniasis Isolates in Baghdad
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Leishmaniasis is a group of parasitic diseases caused by Leishmania spp., an endemic infectious agent in developing countries, including Iraq. Diagnosis of cutaneous lesion by stained smears, serology or histopathology are inaccurate and unable to detect the species of Leishmania. Here, two molecular typing methods were examined to identify the promastigotes of suspected cutaneous leishmaniasis samples, on a species level. The first was species-specific B6-PCR and the second was ITS1-PCR followed by restriction fragment length polymorphism (RFLP) using restriction enzyme HaeIII. DNA was extracted from in vitro promastigote culture followed by amplification of kDNA by B6 or amplification and digestion of LITSR/L

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Publication Date
Thu Mar 24 2022
Journal Name
Journal Of Experimental Botany
Molecular basis of differential adventitious rooting competence in poplar genotypes
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Recalcitrant adventitious root (AR) development is a major hurdle in propagating commercially important woody plants. Although significant progress has been made to identify genes involved in subsequent steps of AR development, the molecular basis of differences in apparent recalcitrance to form AR between easy-to-root and difficult-to-root genotypes remains unknown. To address this, we generated cambium tissue-specific transcriptomic data from stem cuttings of hybrid aspen, T89 (difficult-to-root) and hybrid poplar OP42 (easy-to-root), and used transgenic approaches to verify the role of several transcription factors in the control of adventitious rooting. Increased peroxidase activity was positively correlated with better rooting. We foun

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Publication Date
Mon Oct 01 2012
Journal Name
International Journal Of Recent Scientific Research
DETECTION OF LTH, FSH AND LH HORMONE LEVEL IN PREGNANT WOMEN INFECTED WITH TOXOPLASMA GONDII
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Infection with the protozoan parasite Toxoplasma gondii is widely prevalent in humans and animals. Infection with Toxoplasma may associate with miscarriage in many pregnant women due to infection. In this study, the level of lutetropic hormone (LTH), folliclestimulating hormone (FSH) and luteinizing hormone (LH) was measured in pregnant women suffering from toxoplasmosis using mini-VIDAS®technique. Results showed that pregnant women have high concentration of both LTH and FSH hormone(10.80 ± 6.53) ng/ml and (9.51 ± 2.40) μIU/ml respectively, while the concentration of LH hormone was lower than normal(4.49 ± 0.56) μIU/ml. Such finding is to suggest that infection with T. gondii is interfering with these hormones in pregnant women.

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Publication Date
Tue Apr 28 2020
Journal Name
Iraqi Journal Of Veterinary Sciences
Detection and pathogenicity of Listeria monocytogenes in common carp (Cyprinus carpio) fish in Baghdad, Iraq
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Publication Date
Thu Apr 18 2019
Journal Name
Al-kindy College Medical Journal
Basal cell markers:34BE12 and p63, improving detection of basal cells in atypical prostatic lesions
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Background: The diagnosis of prostatic pathology may be of challenging , as some  difficult and suspected, atypical  cases may lack basal cell layer by routine H&E sections . Antibodies against 34BE12(HMW-CK) and p63 aid the diagnosis of such cases , to distinguish benign from  malignant prostatic lesions.

Objective: to identify basal cells in atypical prostatic lesions ,and distinguish benign from malignant prostatic lesions.

Type of the study:  A retro-spective  study.

Methods:  115cases of  paraffin embedded prostatic tissue blocks ,diagnosed as : 76 cases were benign prostatic hy

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Publication Date
Wed May 04 2022
Journal Name
Int. J. Nonlinear Anal. Appl.
Knee Meniscus Segmentation and Tear Detection Based On Magnitic Resonacis Images: A Review of Literature
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The meniscus has a crucial function in human anatomy, and Magnetic Resonance Imaging (M.R.I.) plays an essential role in meniscus assessment. It is difficult to identify cartilage lesions using typical image processing approaches because the M.R.I. data is so diverse. An M.R.I. data sequence comprises numerous images, and the attributes area we are searching for may differ from each image in the series. Therefore, feature extraction gets more complicated, hence specifically, traditional image processing becomes very complex. In traditional image processing, a human tells a computer what should be there, but a deep learning (D.L.) algorithm extracts the features of what is already there automatically. The surface changes become valuable when

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Publication Date
Sat Dec 03 2011
Journal Name
Ibn Al-haitham Journal For Pure And Applied Science
Detection of shoreline change in AL-Thirthar Lake using remotely sensed imagery and topography map
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Publication Date
Sun Mar 02 2025
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences (
Detection of Some Virulence Factors, Antibiotics Resistant and esp Gene Expression in Enterococcus faecalis bacteria
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Publication Date
Sun Jan 01 2023
Journal Name
Inorganic Chemistry Communications
Detection of nitrotyrosine (Alzheimer's agent) by B24N24 nano cluster: A comparative DFT and QTAIM insight
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A nano-sensor for nitrotyrosine (NT) molecule was found by studying the interactions of NT molecule with new B24N24 nanocages. It was calculated using density functionals in this case. The predicted adsorption mechanisms included physical and chemical adsorption with the adsorption energy of −2.76 to −4.60 and −11.28 to −15.65 kcal mol−1, respectively. The findings show that an NT molecule greatly increases the electrical conductivity of a nanocage by creating electronic noise. Moreover, NT adsorption in the most stable complexes significantly affects the Fermi level and the work function. This means the B24N24 nanocage can detect NT as a Φ–type sensor. The recovery time was determined to be 0.3 s. The sensitivity of pure BN na

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Publication Date
Sun Feb 01 2026
Journal Name
Agricultural Engineering
DEVELOPMENT AND EVALUATION OF A YOLO ALGORITHM-BASED ROBOTIC SPRAYER FOR REAL-TIME WEED DETECTION
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Abstract<p> Weed control with chemicals is a challenging process that should be performed in a rational way to reduce their negative impact on the surrounding environment. The growth of artificial intelligence algorithms encourages researchers to develop smart spraying robots that detect and spray weeds and distinguish them from the main crop which leads to sustainable use of these chemicals and achieves some of the sustainable development goals. However, few studies are available to comprehensively compare different versions of YOLO algorithm to detect weed. In this research, seven versions of YOLO algorithms were evaluated for their performance to detect and spray four t</p> ... Show More
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