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        Morbidity Rate of the Retrosigmoid versus Translabyrinthine Approach for Vestibular Schwannoma Resection

        Sami Obaid,Ioannis Nikolaidis,Musaed Alzahrani,Robert Moumdjian,Issam Saliba 대한청각학회 2018 Journal of Audiology & Otology Vol.22 No.4

        Background and Objectives: Controversy related to the choice of surgical approach for vestibular schwannoma (VS) resection remains. Whether the retrosigmoid (RS) or translabyrinthine (TL) approach should be performed is a matter of debate. In the context of a lack of clear evidence favoring one approach, we conducted a retrospective study to compare the morbidity rate of both surgical approaches. Subjects and Methods: 168 patients underwent surgical treatment (2007-2013) for VS at our tertiary care center. There were no exclusion criteria. Patients were separated into two groups according to the surgical approach: TL group and RS group. Signs and symptoms including ataxia, headache, tinnitus, vertigo and cranial nerve injuries were recorded pre- and postoperatively. Surgical complications were analyzed. Perioperative facial nerve function was measured according to House-Brackmann grading system. Results: Tumor resection was similar in both groups. Facial paresis was significantly greater in RS group patients preoperatively, in the immediate postoperative period and at one year follow-up (p<0.05). A constant difference was found between both groups at all three periods (p=0.016). The evolution of proportion was not found to be different between both groups (p=0.942), revealing a similar rate of surgically related facial paresis. Higher rate of ataxic gait (p=0.019), tinnitus (p=0.039) and cranial nerve injuries (p=0.016) was found in RS group patients. The incidence of headache, vertigo, vascular complications, cerebrospinal fluid leak and meningitis was similar in both groups. No reported mortality in this series. Conclusions: Both approaches seem similar in terms of resection efficacy. However, according to our analysis, the TL approach is less morbid. Thus, for VS in which hearing preservation is not considered, TL approach is preferable.

      • A nonlocal system for the identification of active vibration response of chiral double walled CNTs

        Sami Alghamdi,Muzamal Hussain,Mohamed A. Khadimallah,Sehar Asghar,Emad Ghandourah,Ahmed Obaid M. Alzahrani,M.A. Alzahrani 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.42 No.3

        In this study, an estimation regarding nonlocal shell model based on wave propagation approach has been considered for vibrational behavior of the double walled carbon nanotubes with distinct nonlocal parameters. Vibrations of double walled carbon nanotubes for chiral indices (8, 3) have been analyzed. The significance of small scale is being perceived by developing nonlocal Love shell model. The influence of changing mechanical parameter Poisson’s ratio has been investigated in detail. The dominance of boundary conditions via nonlocal parameter is shown graphically. It is found that on increasing the Poisson’s ratio, the frequencies increases. It is noted that the frequencies of clamped-clamped frequencies are higher than that of simply-supported and clamped-free edge conditions. The outcomes of frequencies are tested with earlier computations.

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        Monitoring and Identification of Various Glucose Levels of Diabetes Patients Using Edge Based Machine Learning Approach

        Maheshwari A.,Hemalatha B.,Lakshmi G.,Kavitha A.,Tata Ravi Kumar,Taqui Syed Noeman,Al Obaid Sami,Alharbi Sulaiman Ali,Raghavan S. S. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3

        The diabetes is a disease that can become a serious disorder for a lifetime. It kills more than a million people every year. This disease can afect anyone. Diabetes occurs when the body is unable to process all the sugar (glucose) in the bloodstream; its complications can move to heart issues, caress, vision loss, and kidney stoppage and leg amputation problems. Many people with diabetes inject their body daily and feel that their work is done. Diabetes is an incurable disease because of poor health. The diabetes be able to be divided keen on2 types. The type-1 diabetes is hereditary. It is not easy to cure. People with type 2 diabetes can greatly reduce their risk of developing diabetes by following a proper, proper lifestyle. In addition it helps reduce the risk of diabetes. The proposed model of managing diabetics explains this disease as a specifc lifestyle. The existence of an efective system for the treatment of diabetes, according to the tasks currently set out, provides for the achievement of goals. The proposed edge based machine learning approach was achieved 85% of results compared with the Blood glucose level prediction, Adaptive multivariable closed-loop control, neural model of blood glucose level and Detecting Undiagnosed Diabetes.

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