Background: Chronic suppurative otitis media (CSOM) is the result of aninitial episode of acute otitis media and is characterized by a persistent discharge from the middle ear through a tympanic perforation for at least 2 weeks duration. It is an important cause of preventable hearing loss, particularly in the developing world.Methods. 1. To get an overview on the bacterial ear infection profile in general 2. To assess the antibiotic resistance of Pseudomonal infection (PS) particularly since it is usually the commonest infection to cause otitis media and the most difficult to treat due to the problem of multi drug resistance... A cross sectional study was done which included 405 patient of CSOM patients196 (48%) case were males ,209 (52%)case were females. Swabs for aural discharge was taken from those patients. Discharge is cultured by inoculating it into blood , MacConkey agar , chocolate agars and Sabouraud agar (for fungi).If the isolate shows to be Pseudomonas isolate growth then another culture of the isolate is performed on Muller Hinton Agar. Then the antibiotic susceptibility and resistance of Pseudomonas isolate is assessed by (Kirby-Bauer Method)Results:196 (48%) case were males.209 (52%) case were females with a male to female ratio 1:1.1150 (73%) cases were infected with Pseudomonas species (PS) The sensitivity of the Pseudomonas isolates to the following antibiotics is shown below:Amikacin 91.7%Imipenem 89.7%Ceftazidime 81.8%Ciprofloxacin 73.7%Garamycin 72.9%Tobramycin 67.7%Ticarcillin 66.7%Cefoperazone 42.9%Conclusions: Pseudomonas species is the commonest microorganism in cases of CSOM.Microbiological identifications and antibiotic resistance determination of pathogens isolated from the middle ear in patients with CSOM not responding to empirical antibiotic treatment gives possibility of the choice of an effective antibiotic and its proper dosage. Cefoperazone ,a relatively new antibiotic that is used in Iraq to combat pseudomonal infections has proven to be poorly effective compared with other previously used antibiotics.
(38)
(33)
(9)
(45)
(37)
(12)
(11)
(32)
(19)
In this article, a continuous terminal sliding mode control algorithm is proposed for servo motor systems. A novel full-order terminal sliding mode surface is proposed based on the bilimit homogeneous property, such that the sliding motion is finite-time stable independent of the system’s initial condition. A new continuous terminal sliding mode control algorithm is proposed to guarantee that the system states reach the sliding surface in finitetime. Not only the robustness is guaranteed by the proposed controller but also the continuity makes the control algorithm more suitable for the servo mechanical systems. Finally, a numerical example is presented to depict the advantages of the proposed control algorithm. An application in the rota
... Show More
(223)
(198)
In cognitive radio system, the spectrum sensing has a major challenge in needing a sensing method, which has a high detection capability with reduced complexity. In this paper, a low-cost hybrid spectrum sensing method with an optimized detection performance based on energy and cyclostationary detectors is proposed. The method is designed such that at high signal-to-noise ratio SNR values, energy detector is used alone to perform the detection. At low SNR values, cyclostationary detector with reduced complexity may be employed to support the accurate detection. The complexity reduction is done in two ways: through reducing the number of sensing samples used in the autocorrelation process in the time domain and through using the Slid
... Show More
(8)
(6)
(63)
(52)
This study is dedicated to solving multicollinearity problem for the general linear model by using Ridge regression method. The basic formulation of this method and suggested forms for Ridge parameter is applied to the Gross Domestic Product data in Iraq. This data has normal distribution. The best linear regression model is obtained after solving multicollinearity problem with the suggesting of 10 k value.
(4)
In recent years, the world witnessed a rapid growth in attacks on the internet which resulted in deficiencies in networks performances. The growth was in both quantity and versatility of the attacks. To cope with this, new detection techniques are required especially the ones that use Artificial Intelligence techniques such as machine learning based intrusion detection and prevention systems. Many machine learning models are used to deal with intrusion detection and each has its own pros and cons and this is where this paper falls in, performance analysis of different Machine Learning Models for Intrusion Detection Systems based on supervised machine learning algorithms. Using Python Scikit-Learn library KNN, Support Ve
... Show More
(6)