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Search Results: 1 - 10 of 162010 matches for " Soad H. Abou-El-Ela "
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Assessment of the Safety of Olmesartan in Combination with Sorafenib in Mice Bearing Ehrlich’s Ascites Carcinoma  [PDF]
Mohammad M. Abd-Alhaseeb, Sawsan A. Zaitone, Soad H. Abou-El-Ela, Yasser M. Moustafa
Journal of Cancer Therapy (JCT) , 2013, DOI: 10.4236/jct.2013.48160
Abstract:

Sorafenib was the first multikinase inhibitor to be approved for use in metastatic renal cell carcinoma. Olmesartan medoxomil used in treatment of hypertension and was reported to inhibit angiogenesis in several models. The present study was designed to assess the safety of a combination of sorafenib plus olmesartan compared to monotherapies in mice bearing Ehrlich’s ascites carcinoma cell line. Mice were divided to seven groups, 1) normal mice, 2) Ehrlich’s ascites carcinoma control, 3 - 5) olmesartan (3, 10, 30 mg/kg/day), respectively, 6) sorafenib (30 mg/kg/day) and 7) the combination group: mice received olmesartan (30 mg/kg/day) plus sorafenib. All drug treatments continued for 21 days. At the end of the experiment, a complete blood count was performed and kidney and liver functions were estimated. The combination therapy produced a non-significant change in most of the measurements of complete blood count and liver enzymes when compared to normal animals. On the other hand, the combined therapy significantly increased blood urea nitrogen when compared to normal group but did not change the serum creatinine level. Concomitant administration of olmesartan with sorafenib did not significantly augment the toxicity of the later. Therefore; olmesartan might be a safe candidate with sorafenib in treatment of cancer if clinical data proved the benefit of this combination.

Olmesartan Potentiates the Anti-Angiogenic Effect of Sorafenib in Mice Bearing Ehrlich's Ascites Carcinoma: Role of Angiotensin (1–7)
Mohammad M. Abd-Alhaseeb, Sawsan A. Zaitone, Soad H. Abou-El-Ela, Yasser M. Moustafa
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0085891
Abstract: Local renin-angiotensin systems exist in various malignant tumor tissues; this suggests that the main effector peptide, angiotensin II, could act as a key factor in tumor growth. The underlying mechanisms for the anti-angiogenic effect of angiotensin II type 1 receptor blockers need to be further evaluated. The present study was carried out to investigate the anti-angiogenic effect of olmesartan alone or in combination with sorafenib, an angiotensin (1–7) agonist or an angiotensin (1–7) antagonist in Ehrlich's ascites carcinoma-bearing mice. The tumor was induced by intradermal injection of Ehrlich's ascites carcinoma cells into mice. Tumor discs were used to evaluate the microvessel density; the serum levels of vascular endothelial growth factor (VEGF) and serum insulin-like growth factor I (IGF-I); and their intratumoral receptors, VEGF receptor-2 and IGF-I receptor, respectively. All parameters were determined following the treatment course, which lasted for 21 days post-inoculation. Monotherapy with olmesartan and its combination with sorafenib resulted in a significant reduction in microvessel density and serum levels of VEGF and IGF-I, as well as their intratumoral receptors. In addition, the combination of olmesartan (30 mg/kg) with an angiotensin (1–7) agonist reduced the microvessel density, IGF-I serum levels and the levels of its intratumoral receptor. In conclusion, olmesartan reduced the levels of the angiogenesis markers IGF-I and VEGF and down-regulated the intratumoral expression of their receptors in a dose-dependent manner, and these effects were dependent on the angiotensin (1–7) receptor. These results suggest that olmesartan is a promising adjuvant to sorafenib in the treatment of cancer.
Isolation, Phylogenetic Analysis and Anti-infective Activity Screening of Marine Sponge-Associated Actinomycetes
Usama Ramadan Abdelmohsen,Sheila M. Pimentel-Elardo,Amro Hanora,Mona Radwan,Soad H. Abou-El-Ela,Safwat Ahmed,Ute Hentschel
Marine Drugs , 2010, DOI: 10.3390/md8030399
Abstract: Terrestrial actinomycetes are noteworthy producers of a multitude of antibiotics, however the marine representatives are much less studied in this regard. In this study, 90 actinomycetes were isolated from 11 different species of marine sponges that had been collected from offshore Ras Mohamed (Egypt) and from Rovinj (Croatia). Phylogenetic characterization of the isolates based on 16S rRNA gene sequencing supported their assignment to 18 different actinomycete genera representing seven different suborders. Fourteen putatively novel species were identified based on sequence similarity values below 98.2% to other strains in the NCBI database. A putative new genus related to Rubrobacter was isolated on M1 agar that had been amended with sponge extract, thus highlighting the need for innovative cultivation protocols. Testing for anti-infective activities was performed against clinically relevant, Gram-positive ( Enterococcus faecalis, Staphylococcus aureus) and Gram-negative ( Escherichia coli, Pseudomonas aeruginosa) bacteria, fungi ( Candida albicans) and human parasites ( Leishmania major, Trypanosoma brucei). Bioactivities against these pathogens were documented for 10 actinomycete isolates. These results show a high diversity of actinomycetes associated with marine sponges as well as highlight their potential to produce anti-infective agents.
Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data Publishing  [PDF]
Abou-el-ela Abdou Hussien, Nermin Hamza, Hesham A. Hefny
Journal of Information Security (JIS) , 2013, DOI: 10.4236/jis.2013.42012
Abstract:

Data mining is the extraction of vast interesting patterns or knowledge from huge amount of data. The initial idea of privacy-preserving data mining PPDM was to extend traditional data mining techniques to work with the data modified to mask sensitive information. The key issues were how to modify the data and how to recover the data mining result from the modified data. Privacy-preserving data mining considers the problem of running data mining algorithms on confidential data that is not supposed to be revealed even to the party running the algorithm. In contrast, privacy-preserving data publishing (PPDP) may not necessarily be tied to a specific data mining task, and the data mining task may be unknown at the time of data publishing. PPDP studies how to transform raw data into a version that is immunized against privacy attacks but that still supports effective data mining tasks. Privacy-preserving for both data mining (PPDM) and data publishing (PPDP) has become increasingly popular because it allows sharing of privacy sensitive data for analysis purposes. One well studied approach is the k-anonymity model [1] which in turn led to other models such as confidence bounding, l-diversity, t-closeness, (α,k)-anonymity, etc. In particular, all known mechanisms try to minimize information loss and such an attempt provides a loophole for attacks. The aim of this paper is to present a survey for most of the common attacks techniques for anonymization-based PPDM & PPDP and explain their effects on Data Privacy.

Utility-Based Anonymization Using Generalization Boundaries to Protect Sensitive Attributes  [PDF]
Abou-el-ela Abdou Hussien, Nagy Ramadan Darwish, Hesham A. Hefny
Journal of Information Security (JIS) , 2015, DOI: 10.4236/jis.2015.63019
Abstract: Privacy preserving data mining (PPDM) has become more and more important because it allows sharing of privacy sensitive data for analytical purposes. A big number of privacy techniques were developed most of which used the k-anonymity property which have many shortcomings, so other privacy techniques were introduced (l-diversity, p-sensitive k-anonymity, (α, k)-anonymity, t-closeness, etc.). While they are different in their methods and quality of their results, they all focus first on masking the data, and then protecting the quality of the data. This paper is concerned with providing an enhanced privacy technique that combines some anonymity techniques to maintain both privacy and data utility by considering the sensitivity values of attributes in queries using sensitivity weights which determine taking in account utility-based anonymization and then only queries having sensitive attributes whose values exceed threshold are to be changed using generalization boundaries. The threshold value is calculated depending on the different weights assigned to individual attributes which take into account the utility of each attribute and those particular attributes whose total weights exceed the threshold values is changed using generalization boundaries and the other queries can be directly published. Experiment results using UT dallas anonymization toolbox on real data set adult database from the UC machine learning repository show that although the proposed technique preserves privacy, it also can maintain the utility of the publishing data.
On the Stability of Solutions of Nonlinear Functional Differential Equation of the Fifth-Order  [PDF]
A. M. A. Abou-El-Ela, A. I. Sadek, A. M. Mahmoud, R. O. A. Taie
Advances in Pure Mathematics (APM) , 2014, DOI: 10.4236/apm.2014.48046
Abstract:

The main purpose of this paper is to investigate global asymptotic stability of the zero solution of the fifth-order nonlinear delay differential equation on the following form
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By constructing a Lyapunov functional, sufficient conditions for the stability of the zero solution of this equation are established.


Cottonseed: protein, oil yields, and oil properties as influenced by potassium fertilization and foliar application of zinc and phosphorus
Sawan, Zakaria M.,Hafezb,, Saeb A.,Basyony, Ahmed E.,Alkassas, Abou-El-Ela R.
Grasas y Aceites , 2007,
Abstract: In maximizing the quantity and quality of a crop’s nutritional value in terms of fatty acids and protein, it is necessary to identify the constraints which may affect it and to devise methods of overcoming them through the use of inputs or changes in management practices. Field experiments were conducted during two successive seasons at the Agricultural Research Center, Giza, Egypt, on the cotton cultivar “Giza 86” (Gossypium barbadense L.) to study the effects of potassium fertilization (at 0.0 and 47.4 kg of K ha–1) and foliar application of zinc (at 0.0 and 57.6 g of Zn ha–1, two times, 70 and 85 days after planting, “during square initiation and boll setting stage”) and phosphorus (at 0.0, 576, 1152 and 1728 g of P ha–1, two times, 80 and 95 days after planting) on cottonseed. The application of potassium along with spraying plants with zinc and phosphorus caused an increase in cottonseed yield ha–1, seed index, seed oil content, oil and protein yields ha–1, seed oil unsaponifiable matter and total unsaturated fatty acids (oleic and linoleic). However, those treatments resulted in a decrease in oil acid value, saponification value and total saturated fatty acids. The highest P concentration of 1728 g ha–1 gave the best values of cottonseed yield/ha, seed index, and seed oil and protein yields/ha and oil saponifiable matter. Para maximizar la cantidad y calidad del valor nutricional de una semilla en términos de ácidos grasos y proteínas es necesario identificar los factores que los afectan y proponer métodos que favorezcan los resultados deseados a través de cambios o mejoras en las prácticas utilizadas. Los experimentos se llevaron a cabo en dos campa as sucesivas en el Agricultural Research Center, Giza, Egipto, en el cultivo “Giza 86” (Gossypium barbadense L.) para estudiar los efectos de la fertilización con potasio (a 0.0 y 47.7 kg por ha) y las aplicaciones foliares de zinc (a 0.0 y 57.6 g por ha, dos veces, 70 y 85 días después de la plantación) y fósforo (a 0.0, 576, 1152, y 1728 g por ha, dos veces, 80 y 95 días después de la plantación). La aplicación del potasio junto con la pulverización de las plantas con zinc y fósforo causó un incremento en el rendimiento del algodón, el índice de semilla, el contenido graso, los rendimientos de aceite y proteína, el contenido de materia insaponificable en el aceite y el contenido total de ácidos grasos insaturados (oleico y linoleico). Por el contrario estos tratamientos disminuyeron el índice de acidez, el índice de saponificación y el contenido de ácidos grasos saturados. La mayor concentración de
Existence and Uniqueness of a Periodic Solution for Third-order Delay Differential Equation with Two Deviating Arguments
A. M. A. Abou-El-Ela,A. I. Sadek,A. M. Mahmoud
IAENG International Journal of Applied Mathematics , 2012,
Abstract:
Cottonseed, Protein, Oil Yields and Oil Properties as Influenced by Potassium Fertilization and Foliar Application of Zinc and Phosphorus
Zakaria M. Sawan,Saeb A. Hafez,Ahmed E. Basyony,Abou-El-Ela R. Alkassas
World Journal of Agricultural Sciences , 2006,
Abstract: In maximizing the yield quantity and quality of a crop in terms of the nutritional value of fatty acids and protein, it is necessary to identify the constraints, which operate at a site and to devise methods of overcoming them through the use of inputs or changes in management practices. Field experiments were conducted during two successive seasons at the Agricultural Research Center, Giza, Egypt, on the cotton cultivar "Giza 86" (Gossypium barbadense L.) to study the effects of potassium fertilization (at 0.0 and 57.1 kg of K2O/ha) and foliar application of zinc (at 0.0 and 60 ppm of Zn, two times, 70 and 85 days after planting, "during square initiation and boll setting stage") and phosphorus (at 0.0, 600, 1200 and 1800 ppm of P2O5, two times, 80 and 95 days after planting) on cottonseed. Application of potassium and spraying plants with zinc and phosphorus caused an increase in cottonseed yield/ha, seed index, seed oil content, oil and protein yields/ha, seed oil unsaponifiable matter and total unsaturated fatty acids (oleic and linoleic). However, those treatments resulted in a decrease in oil acid value, saponification value and total saturated fatty acids. The highest P2O5-concentration of 1800 ppm gave the best values of cottonseed yield/ha, seed index and seed oil and protein yields/ha and oil saponifiable matter.
Cottonseed, Protein, Oil Yields and Oil Properties as Affected by Nitrogen Fertilization and Foliar Application of Potassium and a Plant Growth Retardant
Zakaria M. Sawan,Saeb A. Hafez,Ahmed E. Basyony,Abou-El-Ela R. Alkassas
World Journal of Agricultural Sciences , 2006,
Abstract: Field experiments were conducted in two successive seasons, at the Agricultural Research Center, Giza, Egypt. The aim was to investigate the effect of N-fertilization rate (95.2 and 142.8 kg of N/ha, applied as ammonium nitrate containing 33.5% N in two equal doses at 6 and 8 weeks after sowing), together with foliar application of potassium (applied as potassium sulfate containing 48% K2O at 0.0, 400, 800 or 1200 ppm K2O, applied twice: 70 and 95 days after sowing) and the plant growth retardant (PGR) Pix (applied twice: 75 days after sowing at 0.0 or 50 ppm and 90 days after sowing at 0.0 and 25 ppm) on seed, protein and oil yields and oil properties of Egyptian cotton cultivar "Giza 86 (Gossypium barbadense). The higher N-rate, as well as the application of potassium at different concentrations and plant growth retardant Pix resulted in an increase in cottonseed yield/ha, seed index, seed protein content, oil and protein yield/ha, seed oil refractive index, unsaponifiable matter and total unsaturated fatty acids (oleic and linoleic). Those treatments decreased, though oil acid value, saponification value and total saturated fatty acids. The seed oil content tended to decrease when the high N-rate was applied, but tended to increase with the application of potassium at different concentrations and Pix. There were some differences between potassium concentrations regarding their effects on the studied characters.
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