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Clinicopathological Features and ICD-10 Categorization of Oro-maxillofacial Surgical Biopsies from Sulaimani
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Background: Few updated retrospective histopathological-based studies in Iraq evaluate a comprehensive spectrum of oro-maxillofacial lesions. Also, there was a need for a systematic way of categorizing the diseases and reporting results in codes according to the WHO classification that helps occupational health professionals in the clinical-epidemiological approach.

Objectives: to establish an electronic archiving database according to the ICD-10 that encompasses oro-maxillofacial lesions in Sulaimani city for the last 12 years, then to study the prevalence trend and correlation with clinicopathological parameters.

Subjects and Methods:  A descriptive-analytical study included the archived records from three major histopathological centers in Sulaimani (College of Dentistry, Shahid Saifaldeen, and Shorsh Hospitals), related to surgical biopsies of oro-maxillofacial lesions performed between 2008 and 2019 in Sulaimani. Data were tabulated in an excel sheet and analyzed.

Results: This study involved 2100 oro-maxillofacial lesions, male: female ratio was  1:1.2, and a mean age of 41.03±19.51 years old. The most frequently involved sites were; the lip (14.5%), followed by the gum and alveolar ridge (14.2%). 69.4% of cases were non-neoplastic lesions. The neoplastic lesions were significantly (P=.000) observed in old patients with a mean age of 46.1±21.09, mostly epithelial tumors (39.1%), followed by connective tissue tumors (19.5%). Malignant connective tissue tumors were more frequently seen than benign ones (52.5% versus 47.5%). The non-neoplastic lesions revealed predominate soft tissue lesions (45.2%), followed by salivary gland diseases (13.8%), with a mean age of 38.26±18.8. Squamous cell carcinoma was the most common epithelial tumor, while haemangioma was predominant among connective tissue tumors

Conclusions: ICD-10 classification of oro-maxillofacial lesions in Sulaimani city helps establish a standardized coding database system for clinicopathological distribution. However, the majority of recorded lesions were non-neoplastic especially diagnosed as soft tissue lesions. Still, neoplastic lesions with their minor distribution deserve great attention as they threaten patients’ lives.

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Publication Date
Sun Dec 01 2019
Journal Name
Zeitschrift Für Assyriologie Und Vorderasiatische Archäologie
Literary Texts from the Sippar Library I: Two Babylonian Classics
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Abstract<p>Publication and edition of two tablets from the library in the Ebabbar Temple of Sippar, a manuscript of the ‘Babylonian Poem of the Righteous Sufferer’ (<italic>Ludlul bēl nēmeqi</italic>) Tablet III, and a manuscript of the long prayer to Marduk ‘Furious Lord’ (also known as ‘Marduk 1’).</p>
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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
New algorithms to Enhanced Fused Images from Auto-Focus Images
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Enhancing quality image fusion was proposed using new algorithms in auto-focus image fusion. The first algorithm is based on determining the standard deviation to combine two images. The second algorithm concentrates on the contrast at edge points and correlation method as the criteria parameter for the resulted image quality. This algorithm considers three blocks with different sizes at the homogenous region and moves it 10 pixels within the same homogenous region. These blocks examine the statistical properties of the block and decide automatically the next step. The resulted combined image is better in the contras

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Publication Date
Sat Jun 01 2024
Journal Name
Ecological Engineering &amp; Environmental Technology
Employing Phytoremediation Methods to Extract Heavy Metals from Polluted Soils
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The phytoremediation technique has become very efficient for treating soil contaminated with heavy metals. In this study, a pot experiment was conducted where the Dodonaea plant (known as hops) was grown, and soil previously contaminated with metals (Zn, Ni, Cd) was added at concentrations 100, 50, 0 mg·kg-1 for Ni and Zn, and at concentrations of 0, 5, 10 mg·kg-1 for cadmium. Irrigation was done within the limits of the field capacity of the soil. Cadmium, nickel and zinc was estimated in the soil to find out the capacity of plants to the absorption of heavy and contaminated metals by using bioconcentration factors (BCFs), bioaccumulation coefficient (BAC) and translocation factor (TF). Additionally, BCF values of both Ni and Zn were l

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Publication Date
Mon Mar 06 2023
Journal Name
Environmental Monitoring And Assessment
Copper metal elimination from polluted soil by electro-kinetic technique
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Publication Date
Sat Oct 01 2022
Journal Name
Baghdad Science Journal
Using some Natural Minerals to Remove Cadmium from Polluted Water
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Water scarcity is one of the most important problems facing humanity in various fields such as economics, industry, agriculture, and tourism. This may push people to use low-quality water like industrial-wastewater. The application of some chemical compounds to get rid of heavy metals such as cadmium is an environmentally harmful approach. It is well-known that heavy metals as cadmium may induce harmful problems when present in water and invade to soil, plants and food chain of a human being. In this case, man will be forced to use the low quality water in irrigation. Application of natural materials instead of chemicals to remove cadmium from polluted water is an environmental friendly approach. Attention was drawn in this research wor

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Publication Date
Fri Dec 30 2011
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Energy Generation from Static Water Head Developed By Forward Osmosis
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In this work, the possibility of utilizing osmosis phenomenon to produce energy as a type of the renewable energy using Thin Film Composite Ultra Low Pressure membrane TFC-ULP was studied. Where by forward osmosis water passes through the membrane toward the concentrated brine solution, this will lead to raise the head of the high brine solution. This developed static head may be used to produce energy. The aim of the present work is to study the static head developed and the flux on the high brine water solution side when using forward and reverse osmosis membranes for an initial concentration range from 35-300 g/l for each type of membrane used at room temperature and pressure conditions, and finally calculating the maximum possible po

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
Lactic Acid Bacteria (LAB) with Probiotic Potential from Dengke Naniura
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Dengke Naniura is a traditional food from Sumatera Utara, Indonesia, that is produced through fermenting process, and this food is believed to contain high probiotics. The objective of the current research is to determine the potential of LAB as a probiotic that has been obtained from Dengke Naniura. Dengke Naniura was traditionally prepared from Cyprinus carpio. Four LABs have been successfully isolated from Dengke Naniura, such as D7DA3, D7B3, D7DBF and D7DN3. Those four LAB isolates were identified as Lactobacillus sp. This result has been confirmed by the non-spore forming bacterium, non-motile, and Gram-positive. Also, it has been supported by biochemical test, for the example Voges Proskauer, catalase test, Methyl

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Publication Date
Fri Mar 01 2019
Journal Name
Al-khwarizmi Engineering Journal
Reducing the Pollutants from Municipal Wastewater by Chlorella Vulgaris Microalgae
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In the present work, the pollutants of the municipal wastewater are reduced using Chlorella vulgaris microalgae. The pollutants that were treated are: Total organic carbon (TOC), Chemical oxygen demand (COD), Nitrate (NO3), and Phosphate (PO4). Firstly, the treatment was achieved at atmospheric conditions (Temperature = 25oC), pH 7 with time (1 – 48 h). To study the effect of other microorganisms on the reduction of pollutants, sterilized wastewater and unsterilized wastewater were used for two types of packing (cylindrical plastic and cubic polystyrene) as well as algae's broth (without packing), where the microalgae are grown on the packing then transported to the wastewater for treatment. Th

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Publication Date
Sat Dec 31 2022
Journal Name
Al-kindy College Medical Journal
Pulmonary CT findings in Patients Recovered from COVID-19 Pneumonia
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Background: The COVID-19 infection is a more recent pandemic disease all over the world and studying the pulmonary findings on survivors of this disease has lately commenced.

Objective: We aimed to estimate the cumulative percentage of whole radiological resolution after 3 months from recovery and to define the residual chest CT findings and exploring the relevant affecting factors.

Subjects and Methods: Patients who had been previously diagnosed with COVID-19 pneumonia confirmed by RT-PCR test and had radiological evidence of pulmonary involvement by Chest CT during the acute illness were included in the present study. The radiol

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Publication Date
Tue Jan 01 2019
Journal Name
International Journal Of Machine Learning And Computing
Facial Emotion Recognition from Videos Using Deep Convolutional Neural Networks
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Its well known that understanding human facial expressions is a key component in understanding emotions and finds broad applications in the field of human-computer interaction (HCI), has been a long-standing issue. In this paper, we shed light on the utilisation of a deep convolutional neural network (DCNN) for facial emotion recognition from videos using the TensorFlow machine-learning library from Google. This work was applied to ten emotions from the Amsterdam Dynamic Facial Expression Set-Bath Intensity Variations (ADFES-BIV) dataset and tested using two datasets.

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