The genus Serrasentis is one of important acanthocephalan parasites, parasitizing fish, birds and other vertebrates. Twenty two out of 500 fish specimens (4.4%) were found to be naturally infected with adult and cyst of worms of Serrasentis sp. which were collected from the stomach and intestine of Synaptura orientalis; Johnius belangrii, Otolithus ruber and Upeneus sulphureus fish species', from locations of Khor Abdullah, Arabian Gulf, Iraqi marine waters (29°58,33, N48°28, 20E) during the year 2017.The light and SEM study revealed that the adult worm have elongated and cylindrical body, anterior extremity with hooks forming combs arranged on the ventral and lateral region, longitudinally curved U-shaped, the Proboscis are claviform in shape and the measurement are equal to 0.54 long to 0.28 width, with 22-26 rows of 14-18 hooks, hooks thicker in ventral than dorsal parts, decreasing in size from the apex to the base. Proboscis receptacle with a thick double wall. The cross examination of Upeneus sulphureus fish intestines and food items containing revealed that are consists of different species of amphipods, and crustaceans, The present finding species are compared morphologically with some of the previously recorded species isolated from different host species, which revealed that the present species should be classified as Serrasentis sp. with a new host record in Upeneus sulphureus fishes.
The current research aims to identify the level of both psychological comfort and job performance among a sample of high school teachers for the academic year (2019-2020). The researcher has built two tools to measure psychological comfort, and one to measure job performance. The researcher applied the two scales to a random stratified sample of (100) male and female teachers. The results showed a low level of feeling with psychological comfort among secondary school teachers and a good level of sense of job performance. There is no statistically significant difference in the level of psychological comfort according to gender. There is a significant difference in psychological comfort according to the variable of the length of service in
... Show MoreThis work implements an Electroencephalogram (EEG) signal classifier. The implemented method uses Orthogonal Polynomials (OP) to convert the EEG signal samples to moments. A Sparse Filter (SF) reduces the number of converted moments to increase the classification accuracy. A Support Vector Machine (SVM) is used to classify the reduced moments between two classes. The proposed method’s performance is tested and compared with two methods by using two datasets. The datasets are divided into 80% for training and 20% for testing, with 5 -fold used for cross-validation. The results show that this method overcomes the accuracy of other methods. The proposed method’s best accuracy is 95.6% and 99.5%, respectively. Finally, from the results, it
... Show MoreObjective(s): The aim of the study was to identify the prevalence of overweight and obesity in adolescence and
to estimate the effect of socio- demographic and health behaviors that predicting obesity in adolescents.
Methodology: A cross-sectional descriptive study was being carried out at three public Arabic secondary
schools in Erbil city from October 1
st 2010 to January 30th 2011. A systematic randomly sample size of 461 students
was selected.
Results: In this study, the age of (46.2%, 122) of males students were ranged between (17- 18.9) years old compared
to females students (74.1%, 146) their age ranged between (15 -16.9) years old. About (3.4%, 9) of males
adolescents having overweight while all female ado
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tox:icologital ®d irmm.J,nological effects.of the insectiCide Diaziuon
on male albino mice.
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chrqn:ic exposure study, the LD:so valubas established which rea.ched
58 mg l kg of b0dy weight . Various parameters were· utHizea in
- evaluatitig'the effects of tb:e.·ins.ecticide in fo.ut Weeks ami ig}1t weeks
..p,ost ora.l - e.xposure l'lsing the concentrations 5, lb- l.5 · mg I kg body
Investigating gender differences based on emotional changes becomes essential to understand various human behaviors in our daily life. Ten students from the University of Vienna have been recruited by recording the electroencephalogram (EEG) dataset while watching four short emotional video clips (anger, happiness, sadness, and neutral) of audiovisual stimuli. In this study, conventional filter and wavelet (WT) denoising techniques were applied as a preprocessing stage and Hurst exponent
Recent population studies have shown that placenta accreta spectrum (PAS) disorders remain undiagnosed before delivery in half to two-thirds of cases. In a series from specialist diagnostic units in the USA, around one-third of cases of PAS disorders were not diagnosed during pregnancy. Maternal
Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis systems play an essential role in detecting features in fundus images. Fundus images may include blood vessels, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are app
The aim of this study is to shed light on the importance of biofuels as an alternative to conventional energy, in addition to the importance of preserving agricultural crops, which are the main source of this fuel, to maintain food security, especially in developing countries. The increase in global oil prices, in addition to the fear of global warming, are among the main factors that draw the world’s attention to searching for alternative sources of traditional energy, which are sustainable on the one hand, and on the other hand reduce carbon emissions. Therefore, the volume of global investment in renewable energy in general, and in liquid biofuels and biomass in particular, has increased. Global fears emerged that the excessive
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