Background: Myringoplasty is a procedure used to seal(reconstruct) a perforated tympanic membrane using a graft material by underlay or overlay techniques . Temporalis fascia is the commonly used graft material.
Aim of study: to evaluate the difference in outcome of myringoplasty in cases of active and inactive chronic otitis media without cholesteatoma.
Patients and Methods: a prospective study of 54 cases of myringoplasty in adult age group whom age ranges from (20-40 years) and the duration of the disease ranges from (6-24 months). All patients were complaining of chronic otitis media without cholesteatoma assessed clinically, audiologically and radiologically, all cases operated under general anesthesia and temporalis fascia grafting (underlay technique) via post-auricular incision.
Results: twenty six (48.2%) patients had an active chronic otitis media without cholesteatoma while the remaining twenty eight (51.8%) patients had an inactive chronic otitis media without cholesteatoma those with an active disease 21 (80.8%) cases have successful closure of the perforation while in those 28 cases with an inactive disease 24 (85.7%) cases have successful closure of the perforation. Factors of gender, age, side of the perforation, duration of the perforation, and the pre-operative management for the active ears had no significant effect on the outcome of myringoplasty, P values = 0.5, 0.1, 0.9, 0.5, 0.6, 0.6 and 0.7 respectively which are > 0.05. The overall percentage of success of grafting was 83.3% and the failure of grafting was 16.7%.
Conclusion:- The activity of the middle ear (infection) has little impact on the success rate of closure of tympanic membrane perforation.
Ensuring reliable data transmission in Network on Chip (NoC) is one of the most challenging tasks, especially in noisy environments. As crosstalk, interference, and radiation were increased with manufacturers' increasing tendency to reduce the area, increase the frequencies, and reduce the voltages. So many Error Control Codes (ECC) were proposed with different error detection and correction capacities and various degrees of complexity. Code with Crosstalk Avoidance and Error Correction (CCAEC) for network-on-chip interconnects uses simple parity check bits as the main technique to get high error correction capacity. Per this work, this coding scheme corrects up to 12 random errors, representing a high correction capac
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In this paper we define and study new concepts of fibrewise topological spaces over B namely, fibrewise near topological spaces over B. Also, we introduce the concepts of fibrewise near closed and near open topological spaces over B; Furthermore we state and prove several Propositions concerning with these concepts.
Agriculture improvement is a national economic issue that extremely depends on productivity. The explanation of disease detection in plants plays a significant role in the agriculture field. Accurate prediction of the plant disease can help treat the leaf as early as possible, which controls the economic loss. This paper aims to use the Image processing techniques with Convolutional Neural Network (CNN). It is one of the deep learning techniques to classify and detect plant leaf diseases. A publicly available Plant village dataset was used, which consists of 15 classes, including 12 diseases classes and 3 healthy classes. The data augmentation techniques have been used. In addition to dropout and weight reg
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