Publications

Export 2587 results:
Sort by: Author [ Title  (Desc)] Type Year
A [B] C D E F G H I J K L M N O P Q R S T U V W X Y Z   [Show ALL]
B
Aboul-Enein, A. M., A. M. Al-Abd, E. A. Shalaby, F. Abul-Ela, A. A. Nasr-Allah, A. M. Mahmoud, and H. A. EL-SHEMY, "Back To Nature: Spotlight in Cancer Therapeutics", Vital Signs, 2011. AbstractCU-PDF.pdf

Between 1950 and the beginning of the 21st century, the mortality rates for cancer did not significantly improve. Despite the discovery of dozens of novel anticancer drugs, cancer remains the leading cause of death worldwide. There are wide gaps between the disease incidence (0.16%), disease burden (5.6 %), and the mortality caused by cancer (12.5 %).1 However, in countries with a wide diversity of plant life, there have been intensified efforts to discover natural cancer therapeutics.

Aboul-Enein, A. M., A. M. Al-Abd, E. A. Shalaby, F. Abul-Ela, A. A. Nasr-Allah, A. M. Mahmoud, and H. A. EL-SHEMY, "Back To Nature: Spotlight in Cancer Therapeutics", Vital Signs, 2011. Abstract
n/a
Aboul-Enein, A. M., A. M. Al-Abd, E. A. Shalaby, F. Abul-Ela, A. A. Nasr-Allah, A. M. Mahmoud, and H. A. EL-SHEMY, "Back To Nature: Spotlight in Cancer Therapeutics", Vital Signs, 2011. Abstract
n/a
Rafat, N. H., S. M. Bedair, P. R. Sharps, J. S. Hills, J. A. Hancock, and M. L. Timmons, "Back surface fields for n/p and p/n GaInP solar cells", Photovoltaic Energy Conversion, 1994., Conference Record of the Twenty Fourth. IEEE Photovoltaic Specialists Conference-1994, 1994 IEEE First World Conference on, vol. 2: IEEE, pp. 1906–1909, 1994. Abstract
n/a
Nagwa I. Elarabi, Abdelhadi A. Abdelhadi, Rasha H. Ahmed, I. SALEH, I. A. Arif, G. Osman, and D. S. Ahmed, "Bacillus aryabhattai FACU: A Promising bacterial strain capable of manipulate the glyphosate herbicide residues", Saudi Journal of Biological Sciences, vol. 27, issue (2020), pp. 2207–2214, 2020. 36._bacillus_aryabhattai_facu_a_promising_bacterial_strain_capable_of_manipulate_the_glyphosate_herbicide_residues.pdf
ELARABI, N. A. G. W. A. I., A. A. Abdelhadi, R. H. Ahmed, I. SALEH, I. A. Arif, G. Osman, and D. S. Ahmed, "Bacillus aryabhattai FACU: A promising bacterial strain capable of manipulate the glyphosate herbicide residues", Saudi Journal of Biological Sciences, vol. 27, no. 9, pp. 2207-2214, 2020. AbstractWebsite

Glyphosate is a commonly used organophosphate herbicide that has an adverse impact on humans, mammals and soil microbial ecosystems. The redundant utilize of glyphosate to control weed growth cause the pollution of the soil environment by this chemical. The discharge of glyphosate in the agricultural drainage can also cause serious environmental damage and water pollution problems. Therefore, it is important to develop methods for enhancing glyphosate degradation in the soil through bioremediation. In this study, thirty bacterial isolates were selected from an agro-industrial zone located in Sadat City of Monufia Governorate, Egypt. The isolates were able to grow in LB medium supplemented with 7.2 mg/ml glyphosate. Ten isolates only had the ability to grow in a medium containing different concentrations of glyphosate (50, 100, 150, 200 and 250 mg/ml). The FACU3 bacterial isolate showed the highest CFU in the different concentrations of glyphosate. The FACU3 isolate was Gram-positive, spore-forming and rod-shape bacteria. Based on API 50 CHB/E medium kit, biochemical properties and 16S rRNA gene sequencing, the FACU3 isolate was identified as Bacillus aryabhattai. Different bioinformatics tools, including multiple sequence alignment (MSA), basic local alignment search tool (BLAST) and primer alignment, were used to design specific primers for goxB gene amplification and isolation. The goxB gene encodes FAD-dependent glyphosate oxidase enzyme that responsible for biodegradation process. The selected primers were successfully used to amplify the goxB gene from Bacillus aryabhattai FACU3. The results indicated that the Bacillus aryabhattai FACU3 can be utilized in glyphosate-contaminated environments for bioremediation. According to our knowledge, this is the first time to isolate of FAD-dependent glyphosate oxidase (goxB) gene from Bacillus aryabhattai.

Elarabi, N. I.;, A. A.A.;, R. H.; Ahmed, I.; Saleh, I. A.; Arif, G.; Osman, and D. S. Ahmed, "Bacillus aryabhattai FACU: A Promising bacterial strain capable of manipulate the glyphosate herbicide residues", Saudi Journal of Biological Sciences, 27(9):2207–2214, 2020.
Pesa, A. M., and N. E. Fekry, "BACHELOR NURSES' PERCEPTION OF THE BARRIERS AND FACILITATORS FOR IMPLEMENTING EVIDENCE-BASED NURSING PRACTICE", The 12th International Scientific Nursing Conference, Alex, 15/5/2013. full_paper.pdf
Chehab, M. A., N. A. Selim, and R. Itani, "The Baby-friendly Hospital Initiative and Qatar, 2016", Journal of Taibah University Medical Sciences , vol. 13, issue 3, pp. 309-310, 2018. 2018_baby_friendly_taiba.pdf
Hussein, H., C. Suarez, M. ueti, G. Scoles, D. Schneider, and wendell Johnson, "Babesia bovis sexual stages induced in in vitro culture", Washington state show case, Pullman, WA, USA, 27 March 2017. hussein-hala-poster.pdf
Hussein, H. E., Reginaldo G. Bastos1, D. A. Schneider, Wendell C. Johnson3, Fatma K. Adham2, M. W. Ueti, and C. E. Suarez, "The Babesia bovis hap2 gene is not required for blood stage replication, but expressed upon in vitro sexual stage induction", PLoS Negl Trop Dis, vol. 11(10): e0005965, issue 11(10): e0005965, pp. 11(10): e0005965, 2017.
Hussein, H. E., R. G. Bastos, D. A. Schneider, W. C. Johnson, F. K. Adham, W. C. Davis, and et al, "The Babesia bovis hap2 gene is not required for blood stage replication, but expressed upon in vitro sexual stage induction", PLoS Negl Trop Dis, vol. 11, issue 10, pp. e0005965, 2017.
Hussein, H., G. bohaliga, wendell Johnson, N. Taus, and M. ueti, "Babesia bigemina gene expression during parasite development within adult female tick Rhipicephalus microplus ", Washington state VMP Research symposium, Pullman, WA, USA, 31 October 2017. gamila_poster.pdf
Soliman, A., A. Abdelaal, R. Afify, and N. Ibrahim, "BAALC and ERG Expression in Egyptian Patients with Acute Myeloid Leukemia, Relation to Survival and Response to Treatment", Macedonian Journal of Medical Sciences, vol. 4, issue 2, pp. 264-270, 2016. oamjms-4-264.pdf
Soliman, A., A. Abdelaal, R. Afify, and N. Ibrahim, "BAALC and ERG Expression in Egyptian Patients with Acute Myeloid Leukemia, Relation to Survival and Response to Treatment", Macedonian Journal of Medical Sciences, vol. 4, issue 2, pp. 264-270, 2016. oamjms-4-264.pdf
Nasr, A. S., A. A. A. Aal, R. Afify, and N. Y. Ibrahim, "BAALC and ERG Expression in Egyptian Patients with Acute Myeloid Leukemia, Relation to Survival and Response to Treatment", open access mecedonian journal of medical sciences, vol. 4, issue 2, pp. 264-270, 2016.
Tharwat;, A., A. E. Hassanien;, and B. E. Elnaghi, "A BA-based algorithm for parameter optimization of support vector machine", Pattern recognition letter, 2017. AbstractWebsite

Support Vector Machine (SVM) parameters such as kernel parameter and penalty parameter (C) have a great impact on the complexity and accuracy of predicting model. In this paper, Bat algorithm (BA) has been proposed to optimize the parameters of SVM, so that the classification error can be reduced. To evaluate the proposed model (BA-SVM), the experiment adopted nine standard datasets which are obtained from UCI machine learning data repository. For verification, the results of the BA-SVM algorithm are compared with grid search, which is a conventional method of searching parameter values, and two well-known optimization algorithms: Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The experimental results proved that the proposed model is capable to find the optimal values of the SVM parameters and avoids the local optima problem. The results also demonstrated lower classification error rates compared with PSO and GA algorithms.

Alaa Tharwat, A. E. Hassanien, and B. E. Elnaghi, "A BA-based algorithm for parameter optimization of Support Vector Machine", Pattern Recognition Letters: North-Holland, 2016. Abstract
n/a
Badawy, A. M., and N. M. Mostafa, "B. Abd El-Aleem and N. T Lamie", Intern. J. Comprehensive Pharmacy, vol. 2, pp. 1, 2011. Abstract
n/a
nawar, A., H. Elassar, W. Samy, and S. Mokhtar, "B-type natriuretic peptide to predict and follow up response to cardiac resynchronization therapy", Heart Failure 2015, Secille Spain, 24 may, 2015.
El-sayed, S. M., M. R. Abonazel, and M. M. Seliem, "B-spline Speckman Estimator of Partially Linear Model", International Journal of Systems Science and Applied Mathematics, vol. 4, issue 4, pp. 53-59, 2019. Abstractb-spline_speckman_estimator_of_partially_linear_model.pdf

The partially linear model (PLM) is one of semiparametric regression models; since it has both parametric (more than one) and nonparametric (only one) components in the same model, so this model is more flexible than the linear regression models containing only parametric components. In the literature, there are several estimators are proposed for this model; where the main difference between these estimators is the estimation method used to estimate the nonparametric component, since the parametric component is estimated by least squares method mostly. The Speckman estimator is one of the commonly used for estimating the parameters of the PLM, this estimator based on kernel smoothing approach to estimate nonparametric component in the model. According to the papers in nonparametric regression, in general, the spline smoothing approach is more efficient than kernel smoothing approach. Therefore, we suggested, in this paper, using the basis spline (B-spline) smoothing approach to estimate nonparametric component in the model instead of the kernel smoothing approach. To study the performance of the new estimator and compare it with other estimators, we conducted a Monte Carlo simulation study. The results of our simulation study confirmed that the proposed estimator was the best, because it has the lowest mean squared error.

WAFY, M. N., E. A. Hassan, A. M. A. El-Maaty, and A. M. Abu-Seida, "B-Scan Biometry and Color Doppler Ultrasound Imaging of the Eye in Clinically Normal Donkeys (Equus asinus): Effect of Laterality, Maturity and Gender", Journal of Equine Veterinary Science, vol. 101, 2021. AbstractWebsite
n/a
Wafy, M. N., E. A. Hassan, A. A. M. El-Maaty, and A. M. Abu-Seida, "B-Scan Biometry and Color Doppler Ultrasound Imaging of the Eye in Clinically Normal Donkeys (Equus asinus) : Effect of Laterality, Maturity and Gender", Journal of Equine Veterinary Science, vol. 101, issue 6, pp. 1-7, 2021. occular_biometry.pdf
Tourism