Acute Generalized exanthematous pustulosis Due to oral Use of Blue Dyes

( Osman Sener ),( Osman Kose ),( Ozgur Kartal ),( Mukerrem Safali ) 대한내과학회 2011 The Korean Journal of Internal Medicine Vol.26 No.3

Acute generalized exanthematous pustulosis is a rare severe pustular cutaneous adverse reaction characterized by a rapid clinical course with typical histological findings. It is accompanied by fever and acute eruption of non-follicular pustules overlying erythrodermic skin. The causative agents are most frequently antibacterial drugs. We present a patient with acute generalized exanthematous pustulosis caused by methylene blue and indigotin dyes.

Design optimization of semi-rigid space steel frames with semi-rigid bases using biogeography-based optimization and genetic algorithms

Osman Shallan,Hassan M. Maaly,Merve Sagiroglu,Osman Hamdy 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.70 No.2

This paper performs for the first time a simultaneous optimization for members sections along with semi-rigid beam-to-column connections for space steel frames with fixed, semi-rigid, and hinged bases using a biogeography-based optimization algorithm (BBO) and a genetic algorithm (GA). Furthermore, a member’s sections optimization for a fully fixed space frame is carried out. A real and accurate simulation of semi-rigid connection behavior is considered in this study, where the semi-rigid base connections are simulated using Kanvinde and Grilli (2012) nonlinear model, which considers deformations in different base connection components under the applied loads, while beam-to-column connections are modeled using the familiar Frye and Morris (1975) nonlinear polynomial model. Moreover, the P-∆ effect and geometric nonlinearity are considered. AISC-LRFD (2016) specification constraints of the stress and displacement are considered as well as section size fitting constraints. The optimization is applied to two benchmark space frame examples to inspect the effect of semi-rigidity on frame weight and drift using BBO and GA algorithms.

The hyperbolic conics in the hyperbolic geometry

Osman Avcioglu,Osman Bizim 장전수학회 2008 Advanced Studies in Contemporary Mathematics Vol.16 No.1

In this work we have aimed to specify basic properties of hyper-bolic conics of uper half plane U and examined each conic at two steps: Firstly we have studied the case where center and focus(es) of the conic are on imaginary axis. Secondly we have transfered our findings to any conic by means of Mob(U). Although there are works on hyperbolic circles in sources such as[2], we also examine hyperbolic circles for readines. We have also seen that each conic family is invariant under the action of Mob(U).

Quantification and location damage detection of plane and space truss using residual force method and teaching-learning based optimization algorithm

Osman Shallan,Osman Hamdy 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.2

This paper presents the quantification and location damage detection of plane and space truss structures in a twophase method to reduce the computations efforts significantly. In the first phase, a proposed damage indicator based on the residual force vector concept is used to get the suspected damaged members. In the second phase, using damage quantification as a variable, a teaching-learning based optimization algorithm (TLBO) is used to obtain the damage quantification value of the suspected members obtained in the first phase. TLBO is a relatively modern algorithm that has proved distinguished in solving optimization problems. For more verification of TLBO effeciency, the classical particle swarm optimization (PSO) is used in the second phase to make a comparison between TLBO and PSO algorithms. As it is clear, the first phase reduces the search space in the second phase, leading to considerable reduction in computations efforts. The method is applied on three examples, including plane and space trusses. Results have proved the capability of the proposed method to precisely detect the quantification and location of damage easily with low computational efforts, and the efficiency of TLBO in comparison to the classical PSO.

A developed design optimization model for semi-rigid steel frames using teaching-learning-based optimization and genetic algorithms

Osman Shallan,Hassan M. Maaly,Osman Hamdy 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.66 No.2

This paper proposes a developed optimization model for steel frames with semi-rigid beam-to-column connections and fixed bases using teaching-learning-based optimization (TLBO) and genetic algorithm (GA) techniques. This method uses rotational deformations of frame members ends as an optimization variable to simultaneously obtain the optimum cross-sections and the most suitable beam-to-column connection type. The total cost of members plus connections cost of the frame are minimized. Frye and Morris (1975) polynomial model is used for modeling nonlinearity of semi-rigid connections, and the P-∆ effect and geometric nonlinearity are considered through a stepped analysis process. The stress and displacement constraints of AISC-LRFD (2016) specifications, along with size fitting constraints, are considered in the design procedure. The developed model is applied to three benchmark steel frames, and the results are compared with previous literature results. The comparisons show that developed model using both LTBO and GA achieves better results than previous approaches in the literature.

Knowledge, Attitude and Practice of School Nurses in the United Arab Emirates about HPV Infection and Vaccine

Ortashi, Osman,Shallal, Musa,Osman, Nawal,Raheel, Hina Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12

Background: In 2008, the Health Authority in Abu Dhabi (the capital of the United Arab Emirates) introduced HPV vaccine free of charge for high school girls entering grade 11, becoming the first state in the Middle East to do so. The objectives of this study were to assess the knowledge, attitude and practice of school nurses in the Emirate of Abu Dhabi about HPV infection and the vaccine. Materials and Methods: A quantitative study was designed and conducted from June to August 2012 in Emirate of Abu Dhabi. Data were collected through direct face to face interviews. from one hundred and twenty five nurses. Results: Knowledge of HPV infection and HPV vaccine was almost universal among the school nurses (97%). The majority of the participants (71%) thought that the HPV vaccine was good. Cultural unacceptability (45%) and lack of women's concern about their own health (21%) were rated as the top barriers for the successful introduction of the vaccine in the UAE. More than half of the sampled nurses (58%) have either given this vaccine to school girls or taken it themselves. The majority (95%) did not come across any side effects from the vaccine. The level of qualification and the place of work did not significantly affect the correct knowledge of HPV infection or cervical cancer prevention methods. Conclusions: The knowledge and attitude of the sampled school nurses in Abu Dhabi State about HPV infection and vaccine is very good in both the public and private sectors. However, a knowledge gap in cervical cancer screening methods was identified.

Awareness and Knowledge about Human Papillomavirus Infection and Vaccination among Women in UAE

Ortashi, Osman,Raheel, Hina,Shalal, Musa,Osman, Nawal Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.10

Background: Cervical cancer is the second commonest female cancer worldwide. The 50-55 cases of cervical cancer are reported annually in the UAE. There is a scarcity of data from Middle Eastern region regarding knowledge and attitude of women towards HPV infection, cervical cancer prevention and HPV vaccine. The aim of our study was to assess the knowledge of women regarding HPV infection and vaccine in UAE. Materials and Methods: A cross-sectional survey of 640 women aged 18-50 years was conducted in Al-Ain district in UAE using convenience sampling. Women with previous diagnosis of cervical cancer, non-residents of UAE, younger than 18 or older than 50 years of age and those unable to speak Arabic or English were excluded from the study. Logistic regression analysis was performed to assess the association of HPV knowledge with independent factors like age, education etc. Results: Only 29% of our sampled women have ever heard of HPV infection. Only 15.3% women recognized it as STI. Only about 22% women have also heard of the HPV vaccine. Three quarter of the women in our study thought that cervical cancer can be prevented. About 28% recognized vaccine as a preventive measure against cervical cancer. Age (AOR 1.049, 95%CI 1.02-1.08) and husband's level of education were found to be significant (p value 0.015) after adjusting for women's age. Conclusions: The knowledge of HPV infection and vaccine is low in the UAE. Few women recognized HPV as sexually transmitted infection. Increasing age and husband's education are associated with better knowledge of HPV infection.

A developed design optimization model for semi-rigid steel frames using teaching-learning-based optimization and genetic algorithms

Shallan, Osman,Maaly, Hassan M.,Hamdy, Osman Techno-Press 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.66 No.2

This paper proposes a developed optimization model for steel frames with semi-rigid beam-to-column connections and fixed bases using teaching-learning-based optimization (TLBO) and genetic algorithm (GA) techniques. This method uses rotational deformations of frame members ends as an optimization variable to simultaneously obtain the optimum cross-sections and the most suitable beam-to-column connection type. The total cost of members plus connections cost of the frame are minimized. Frye and Morris (1975) polynomial model is used for modeling nonlinearity of semi-rigid connections, and the $P-{\Delta}$ effect and geometric nonlinearity are considered through a stepped analysis process. The stress and displacement constraints of AISC-LRFD (2016) specifications, along with size fitting constraints, are considered in the design procedure. The developed model is applied to three benchmark steel frames, and the results are compared with previous literature results. The comparisons show that developed model using both LTBO and GA achieves better results than previous approaches in the literature.

Seropositivity and Serointensity of Toxoplasma gondii Antibodies and DNA among Patients with Schizophrenia

Ainsah Omar,Osman Che Bakar,Nor Fatini Adam,Hakim Osman,Arina Osman,Ahmad Hatim Suleiman,Mohd Rizal Abdul Manaf,Mohd Ikhsan Selamat 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.1

Delphi consensus on the American Society of Anesthesiologists’ physical status classification in an Asian tertiary women’s hospital

Osman Tarig,Lew Eileen,Sng Ban L.,Dabas Rajive,Griva Konstadina,Car Josip 대한마취통증의학회 2022 Korean Journal of Anesthesiology Vol.75 No.2

Background: The American Society of Anesthesiologists (ASA) score is generated based on patients’ clinical status. Accurate ASA classification is essential for the communication of perioperative risks and resource planning. Literature suggests that ASA classification can be automated for consistency and time-efficiency. To develop a rule-based algorithm for automated ASA classification, this study seeks to establish consensus in ASA classification for clinical conditions encountered at a tertiary women’s hospital.Methods: Thirty-seven anesthesia providers rated their agreement on a 4-point Likert scale to ASA scores assigned to items via the Delphi technique. After Round 1, the group’s collective responses and individual item scores were shared with participants to improve their responses for Round 2. For each item, the percentage agreement (‘agree’ and ‘strongly agree’ responses combined), median (interquartile range/IQR), and SD were calculated. Consensus for each item was defined as a percentage agreement ≥ 70%, IQR  1.0, and SD < 1.0.Results: All participants completed the study and none had missing data. The number of items that reached consensus increased from 25 (51.0%) to 37 (75.5%) in the second Delphi round, particularly for items assigned ASA scores of III and IV. Nine items, which pertained to alcohol intake, asthma, thyroid disease, limited exercise tolerance, and stable angina, did not reach consensus even after two Delphi rounds.Conclusions: Delphi consensus was attained for 37 of the 49 study items (75.5%), facilitating their incorporation into a rule-based clinical support system designed to automate the prediction of ASA classification.