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Morphological study of bronchial tree and lung in Iraqi weasel (Herpestes javanicus)
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Abstract<p>The current study aimed to identify the morphological description and branches of the bronchial tree and lung for the weasel <italic>Herpestes javanicus</italic> as one of the Iraqi mammals inhabiting the Iraqi environment. In the current study, 10 samples with an mean weight of 288-564 g were used, trachea and lung were removed from the samples and confirmed using proven solutions and laboratory tests were conducted on 5 samples of the study to identify the branches of the bronchial tree using the technique of casting resin and then exposing the samples to erosion. Weasel has a pair of bright pink sponge lungs that occupy most of the thoracic cavity. The lungs look similar to the clover leaf have a top and three surfaces represented by the costal surface that is convex, and the middle surface, characterized by a narrow and diaphragm surface and is identical to the diaphragm. The right lung is larger than the left lung and the right lung consists of four lobes: apical, middle, caudal and an accessory lobe, while the left lung consists of three lobes: apical, middle, caudal lobes the top of the right lung appeared small and semi-sharp, while the left lung is round and blind. The right primary trachea branched into two branches, the upper branch enters into the apical lobe and branches in turn into two secondary branches, while the lower branched into three branches, the first of which enters into the middle lobe and the second to the middle lobe, the third branch into two branches enter the accessory lobes, while the primary left trachea branch into three secondary or lobe branches before entering the left lung branch, where the first branch enters into apical lobe when the second enters the middle lobe while the third section enters the caudal lobe.</p>
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Publication Date
Thu Jul 20 2023
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Applying Ensemble Classifier, K-Nearest Neighbor and Decision Tree for Predicting Oral Reading Rate Levels
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For many years, reading rate as word correct per minute (WCPM) has been investigated by many researchers as an indicator of learners’ level of oral reading speed, accuracy, and comprehension. The aim of the study is to predict the levels of WCPM using three machine learning algorithms which are Ensemble Classifier (EC), Decision Tree (DT), and K- Nearest Neighbor (KNN). The data of this study were collected from 100 Kurdish EFL students in the 2nd-year, English language department, at the University of Duhok in 2021. The outcomes showed that the ensemble classifier (EC) obtained the highest accuracy of testing results with a value of 94%. Also, EC recorded the highest precision, recall, and F1 scores with values of 0.92 for

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Publication Date
Tue Jun 01 2021
Journal Name
Periodicals Of Engineering And Natural Sciences
Steganography using dual tree complex wavelet transform with LSB indicator technique
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Image steganography is undoubtedly significant in the field of secure multimedia communication. The undetectability and high payload capacity are two of the important characteristics of any form of steganography. In this paper, the level of image security is improved by combining the steganography and cryptography techniques in order to produce the secured image. The proposed method depends on using LSBs as an indicator for hiding encrypted bits in dual tree complex wavelet coefficient DT-CWT. The cover image is divided into non overlapping blocks of size (3*3). After that, a Key is produced by extracting the center pixel (pc) from each block to encrypt each character in the secret text. The cover image is converted using DT-CWT, then the p

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Publication Date
Tue Jan 01 2019
Journal Name
Diabetes &amp; Metabolic Syndrome: Clinical Research &amp; Reviews
Nephrotic range proteinuria; does it predict lung involvement in patients with type 2 diabetes
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Publication Date
Tue Jan 01 2019
Journal Name
Diabetes &amp; Metabolic Syndrome: Clinical Research &amp; Reviews
Nephrotic range proteinuria; does it predict lung involvement in patients with type 2 diabetes
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Publication Date
Sat Jul 01 2023
Journal Name
Iraqi Journal Of Veterinary Sciences
Genetic confirmation for morphological identification of Stilesia globipunctata in camel in Iraq
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Publication Date
Thu Apr 02 2020
Journal Name
1st International Conference In Physical Science And Advance Materials
Structural and Morphological Characteristics of Organic and Inorganic Blend Heterojunction NiPcTs/Cd
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In the present study NiPcTs, CdS thin films, and Blends of NiPcTs:CdS were prepared with 1:2 content mixing ratio of NiPcTs to CdS solutions. Cadmium chloride and thiourea were used as the essential materials for deposition CdS thin films while using organic powder of NiPcTs to deposit NiPcTs nanostructure films. The spin-coating technique was employed to fabricate the NiPcTs , CdS films and NiPcTs-CdS blend. Structural properties of films have been investigated via X-Ray diffraction(XRD),and show that thin films of NiPcTs, and CdS have monoclinic and polycrystalline hexagonal structure respectively while the blend has two polycrystalline structure with cubic and hexagonal phases. Atomic force microscope (AFM) confirmed that the surf

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Publication Date
Sat Apr 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Intrusion detection method for internet of things based on the spiking neural network and decision tree method
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices

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Scopus (14)
Crossref (5)
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Publication Date
Sat Apr 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering
Intrusion detection method for internet of things based on the spiking neural network and decision tree method
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices

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Publication Date
Thu May 04 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Morphological Description Of Inner Ear In Barbus luteus Heckel (Teleostei: Cyprinidae).
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The morphological description of inner ear in Barbus luteus have been investigated.
The results of the present study revealed that the fish under investigation has a pair of
inner ears which are embedded in two otic capsules of the skull. The inner ear contains two
main structures, the first is the Osseous Labyrinth (OL), and the second is the Membranous
Labyrinth (ML).
Both of (OL) and (ML) consist of three semicircular canal (SCC). These are anterior,
posterior and horizontal semicircular canals (ASCC, PSCC and HSCC).
The (OL) contains three chambers while the (ML) contains saccular structures which
are called otoliths organs represented by utriculus (U), sacculus (S) and lagena (L). Each of
the saccu

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Publication Date
Wed Jun 30 2010
Journal Name
Al-kindy College Medical Journal
Hypomagnesemia in Iraqi Diabetic Patients and Healthy Controls: An Exploratory study
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Background: Diabetes mellitus has been suggested
to be the most common metabolic disorder
associated with magnesium deficiency, and because
available data suggest that adverse outcomes are
associated with hypomagnesemia, it is prudent that
routine surveillance for hypomagnesemia be done
and the condition be treated whenever possible.
Aim of the study:To explore the serum Mg
concentrations of diabetic patients and healthy
controls in our locality.
Mehtods: One hundred and forty four diabetic
patients (22 with type I and 122 with type II diabetes
mellitus) recruited from the outpatient diabetes clinic
at the Specialized Center For Endocrine DiseasesBaghdad (62 patients), National Diabetes Center-Al

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