Object Detection and Distance Measurement Using AI
(30)
(24)
Publication Date
Tue Apr 01 2025
Journal Name
Iop Conference Series: Earth And Environmental Science
Molecular Detection and Antiserum Preparation of Begomoviruses Infecting Zucchini Squash in Iraq
Abstract<p>Begomoviruses infecting zucchini squash were investigated. Leaf samples were collected from zucchini squash growing areas in Baghdad (Jhadryaa and Yusufiyah), Babylon (Jibela and Mahmudiyah) and Diyala (Khan Bani Saad) Provinces. Samples were screened for the presence of begomoviruses using polymerase chain reaction (PCR) and Deng genus specific primers. Sixteen out of 40 samples were begomovirus positive. Sequence analysis confirmed the detection of Tomato leaf curl Palampur virus (TLCPALV) <italic>Begomovirus solanumpalampurense</italic>, Squash leaf curl virus (SLCuV) <italic>B. cucurbitapeponis</italic> and Tomato yellow leaf curl virus (TYLCV) <italic>B. </italic></p>
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Publication Date
Thu Oct 01 2020
Journal Name
Biochemical And Cellular Archives
Publication Date
Sun Jan 01 2023
Journal Name
مجلة الأطروحة العلمية المحكمة-العلوم الصرفة والتطبيقية
Detection of Lead (Pb) and
Cadmium (Cd) Concentrations
in Some Indomie Samples
Andomie product
Lead
Cadmium
heavy metals
Atomic Absorption spectrometer
Publication Date
Tue Jan 01 2019
Journal Name
Biochemical And Cellular Archives
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Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
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(18)
Publication Date
Sat Apr 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Detection of Mineral and Microbial Contaminants in some Types of Imported Meat
Abstract<p>The main target of the current study is to investigate the microbial content and mineral contaminants of the imported meat available in the city of Baghdad and to ensure that it is free from harmful bacteria, safe and it compliances with the Iraqi standard specifications. Some trace mineral elements such as (Iron, Copper, Lead, and Cadmium) were also estimated, where 10 brands of these meats were collected. Bacteriological tests were carried out which included (total bacterial count, <italic>Staphylococcus</italic> bacteria, <italic>Salmonella</italic> bacteria). The results showed highest number of total bacterial count 13×10<sup>5</sup> CFU/g in F8 bra</p>
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(3)
(2)
Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
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(27)
Publication Date
Mon Jan 01 2024
Journal Name
Baghdad Science Journal
Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection
Adverse Drug Reaction
Artificial Neural Network
Classification
Deep Learning
Latent Semantic Analysis
Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting AD
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(12)
Publication Date
Sun Dec 09 2018
Journal Name
Baghdad Science Journal
Application of Randomly Amplified Polymorphic DNA (RAPD) Technique to Estimate Genetic Distance among Some Methicillin Resistant Staphylococcus aureus Isolated from Different Iraqi Hospitals
Methicillin resistant Staphylococcus aureus (MRSA)
randomly amplified polymorphic DNA
Genetic distance
DNA typing.
Methicillin resistant Staphylococcus aureus (MRSA) is one of the principal nosocomial causative agents. This bacterium has the capability to resist wide range of antibiotics and it is responsible for many diseases like skin, nose and wounds infection. In this study, randomly amplified polymorphic DNA (RAPD)-PCR was applied with ten random primers to examine the molecular diversity among methicillin resistant Staphylococcus aureus (MRSA) isolates in the hospitals and to investigate the genetic distance between them. 90 Isolates were collected from clinical specimens from Iraqi hospitals for a total of 90 isolates. Only 10 strains (11.11%) were found to be MRSA. From these 10 primers, only 9 gave clear amplification products. 91 fragment l
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(3)
Publication Date
Fri Nov 01 2019
Journal Name
Ecology, Environment And Conservation