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- 저자 : Mohammed Osman (검색결과 25 건)
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Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer
Mohamed Hosny Osman,Reham Hosny Mohamed,Hossam Mohamed Sarhan,박은정,백승혁,이강영,강정현 대한암학회 2022 Cancer Research and Treatment Vol.54 No.2
Purpose Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms. We developed a ML based model to predict survival of patients with colorectal cancer (CRC) using data from two independent datasets. Materials and Methods A total of 364,316 and 1,572 CRC patients were included from the Surveillance, Epidemiology, and End Results (SEER) and a Korean dataset, respectively. As SEER combines data from 18 cancer registries, internal validation was done using 18-Fold-Cross-Validation then external validation was performed by testing the trained model on the Korean dataset. Performance was evaluated using area under the receiver operating characteristic curve (AUROC), sensitivity and positive predictive values. Results Clinicopathological characteristics were significantly different between the two datasets and the SEER showed a significant lower 5-year survival rate compared to the Korean dataset (60.1% vs. 75.3%, p < 0.001). The ML-based model using the Light gradient boosting algorithm achieved a better performance in predicting 5-year-survival compared to American Joint Committee on Cancer stage (AUROC, 0.804 vs. 0.736; p < 0.001). The most important features which influenced model performance were age, number of examined lymph nodes, and tumor size. Sensitivity and positive predictive values of predicting 5-year-survival for classes including dead or alive were reported as 68.14%, 77.51% and 49.88%, 88.1% respectively in the validation set. Survival probability can be checked using the web-based survival predictor (http://colorectalcancer.pythonanywhere.com). Conclusion ML-based model achieved a much better performance compared to staging in individualized estimation of survival of patients with CRC. Purpose Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms. We developed a ML based model to predict survival of patients with colorectal cancer (CRC) using data from two independent datasets.Materials and Methods A total of 364,316 and 1,572 CRC patients were included from the Surveillance, Epidemiology, and End Results (SEER) and a Korean dataset, respectively. As SEER combines data from 18 cancer registries, internal validation was done using 18-Fold-Cross-Validation then external validation was performed by testing the trained model on the Korean dataset. Performance was evaluated using area under the receiver operating characteristic curve (AUROC), sensitivity and positive predictive values.Results Clinicopathological characteristics were significantly different between the two datasets and the SEER showed a significant lower 5-year survival rate compared to the Korean dataset (60.1% vs. 75.3%, p < 0.001). The ML-based model using the Light gradient boosting algorithm achieved a better performance in predicting 5-year-survival compared to American Joint Committee on Cancer stage (AUROC, 0.804 vs. 0.736; p < 0.001). The most important features which influenced model performance were age, number of examined lymph nodes, and tumor size. Sensitivity and positive predictive values of predicting 5-year-survival for classes including dead or alive were reported as 68.14%, 77.51% and 49.88%, 88.1% respectively in the validation set. Survival probability can be checked using the web-based survival predictor (http://colorectalcancer.pythonanywhere.com).Conclusion ML-based model achieved a much better performance compared to staging in individualized estimation of survival of patients with CRC.
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Corporate Governance and Performance of Insurance Companies in the Saudi Market
Mohamed Abdel Mawla OSMAN,Durga Prasad SAMONTARAY 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.4
This paper investigates the association between key corporate governance characteristics and the performance of general insurance businesses listed on the Saudi stock exchange (TADAWUL). The methodology for the study is based on a pooled data collection for 11 Saudi general insurance companies from 2011 to 20. The linear regression model and the logarithm regression model are suggested to assess the relationship between performance and corporate governance characteristics. The dependent variable is firm performance measured using ROA, ROE, and Tobin’s Q. The independent variables are corporate governance variables consisting of a complete set of board and audit committee characteristics. Insurer-specific control variables are introduced. The empirical results reveal that the characteristics of corporate governance influence the performance of insurance companies. In particular, the board size, board’s tenure, the proportion of independent directors in the board, audit committee size, audit committee meeting frequency, and proportion of health insurance premiums have a positive impact. However, audit committee independence, size of the company, and proportion of reinsurance premiums have a negative impact on the performance of the Saudi general insurance companies. Finally, the empirical results indicated also that there is an unclear relationship between the performance and board meeting frequency, compensations of the Board, and the average age of the Board.
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E-Government as a Tool for Eradicating Corruption in Public Sector: The African Perspective
( Osman Abdul Somed ),( Happiness Kavishe Tairo ),( Mohamed Mintanga Milulu ),( Sani Yashe Hussaini ),( Shadrack Mensah ) 한국정책학회 2015 한국정책학회 추계학술발표논문집 Vol.2015 No.-
Corruption has been identified as a bane to economic development across the globe and the single most serious obstacle to achieving the Millennium Development Goals in Africa in particular. The persistence of the situation despite the enactment of anti-corruption policies to check the practice is a course for concern. The aim in this study is to explore how e-Government could serve as a tool to facilitate the implementation of anti-corruption policies in the three countries which includes Ghana, Tanzania, and Nigeria in perspective. Based on the case analysis, the study found that corruption operates in an atmosphere of uncertainty, excessive use of discretion and relaxed laws. Results suggest that the deployment of e-Government will clarify roles, reduce the use of discretion and human contact and also leave identifiable trails by way of data on actions taken. Finally, the article points out the study``s managerial and policy implications and directions for future research.
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Osman, Ahmed H.,Aly, Aref A.M.,El-Mottaleb, Mohamed Abd,Gouda, Gamal A.H. Korean Chemical Society 2004 Bulletin of the Korean Chemical Society Vol.25 No.1
$Cu^{II}$-complexes of N-salicylideneaniline and its derivatives were not light sensitive in most solvents such as acetonitrile. A photo-decomposition occurred upon irradiation in halocarbon solvents such as $CHCl_3$. It has been suggested that such photoreactivity is attributed to the reactivity of charge-transfer to solvent (CTTS) excited state attained upon irradiation. A mechanism has been proposed to account for the results obtained. The complexes have been thermally analysed in nitrogen and static air using thermogravimetry (TG) and derivative thermogravimetry (DTG). The thermal degradation of the complexes proceeds in two or three stages. The kinetic parameters obtained from the Coats-Redfern and Horowitz-Metzger equations show the kinetic compensation effect.
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Mohamed A. Shebl,Hanan A. Hassan,Soliman M. Kamel,Mohamed A.M. Osman,Michael S. Engel 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.3
The mason bee Osmia (Helicosmia) latreillei Spinola is one of the dominant species of bees throughout Egypt, and can be found commonly in the Suez Canal Region. The species visits numerous plant species of the family Asteraceae and is considered the most important pollinator of certain crops such as sunflower. This species and some other solitary cavity nesting bees are threatened by fragmentation of their nesting habitats. Several attempts were made to establish and propagate O. latreillei, and success was achieved for re-nesting it in various artificial materials such as wood and polystyrene with rolled paper straws. These artificial nests were established at the conservation area of the Bee Research Centre, Suez Canal University, in order to study the nesting behavior and biology of O. latreillei under artificial conditions and to document their natural enemies. Biologically, there was no significance difference between the life cycle of O. latreillei under natural and artificial nesting conditions. This solitary bee was univoltine, individuals active only during Spring, and attacked by diverse enemies, with Stelis (Stelis) murina Pérez and chrysidid wasps considered the two most major pests of this wild bee species.
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Bioactivity of Metabolites from Actinomycetes Isolates from Red Sea, Egypt
Osman, Mohamed E.,El-nasr, Amany A. Abo,Hussein, Hagar M,Hamed, Moaz M The Korean Society for Microbiology and Biotechnol 2022 한국미생물·생명공학회지 Vol.50 No.2
Actinomycetes isolated from marine habitats represent a promising source of bioactive substances. Here, we report on the isolation, identification, productivity enhancement and application of the bioactive compounds of Streptomyces qinglanensis H4. Eighteen marine actinomycetes were isolated and tested for resistance to seven bacterial diseases. Using 16S rRNA sequencing analysis (GenBank accession number MW563772), the most powerful isolate was identified as S. qinglanensis. Although the strain produced active compound(s) against a number of Gram-negative and Gram-positive bacteria, it failed to inhibit pathogenic fungi. The obtained inhibition zones were 22.0 ± 1.5, 20.0 ± 1, 16.0 ± 1, 12.0 ± 1, 22.0 ± 1 and 24.0 ± 1 mm against Bacillus subtilis ATCC 6633, Escherichia coli ATCC 19404, Enterococcus faecalis ATCC 29212, Pseudomonas aeruginosa ATCC 9027, Candida albicans ATCC 10231 and Staphylococcus aureus ATCC6538, respectively. To maximize bioactive compound synthesis, the Plackett-Burman design was used. The productivity increased up to 0.93-fold, when S. qinglanensis was grown in optimized medium composed of: (g/l) starch 30; KNO<sub>3</sub> 0.5; K<sub>2</sub>HPO<sub>4</sub> 0.25; MgSO<sub>4</sub> 0.25; FeSO<sub>4</sub>·7H<sub>2</sub>O, 0.01; sea water concentration (%) 100; pH 8.0, and an incubation period of 9 days. Moreover, the anticancer activity of S. qinglanensis was tested against two different cell lines: HepG2 and CACO. The inhibition activities were 42.96 and 57.14%, respectively. Our findings suggest that the marine S. qinglanensis strain, which grows well on tailored medium, might be a source of bioactive substances for healthcare companies.
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Mohamed E. Mahmoud,Amr A. Yakout,Kholoud H. Hamza,Maher M. Osman 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.25 No.-
A simple and solvent-free method is proposed for synthesis of novel magnetic nano-sorbents. Dioctyl phthalate (DOP) was used to encapsulate nano-Fe3O4 and produce a nano-Fe3O4-DOP sorbent. This was treated with triethylenetetramine (TETA) in another solvent-free procedure for the formation of a novel nano-Fe3O4-DOP-TETA. The synthesized nano-sorbents were characterized by FT-IR, TGA, SEM and HRTEM (3.0–12.0 nm). The magnetic solid phase sorption characteristics were studied and optimized. The potential applications of these magnetic solid phase extractors for removal of Ni(II), Cd(II) and Pb(II) from drinking tap water, industrial wastewater and sea water samples were accomplished using a multi-stage micro-column technique
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Suffciency Conditions for Hypergeometric Functions to be in a Subclasses of Analytic Functions
Aouf, Mohamed Kamal,Mostafa, Adela Osman,Zayed, Hanaa Mousa Department of Mathematics 2016 Kyungpook mathematical journal Vol.56 No.1
The purpose of this paper is to introduce sufficient conditions for (Gaussian) hypergeometric functions to be in various subclasses of analytic functions. Also, we investigate several mapping properties involving these subclasses.
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