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Search Results: 1 - 10 of 474761 matches for " Mohammed A. El Ries "
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Thermoanalytical Investigation of Some Sulfone-Containing Drugs
Nahla N. Salama,Mohammed A. El Ries,Safaa Toubar,Maha Abd El Hamid,Mohammed I. Walash
Journal of Analytical Methods in Chemistry , 2012, DOI: 10.1155/2012/439082
Abstract: The thermal behavior of some sulfone-containing drugs, namely, dapsone (DDS), dimethylsulfone (MSM), and topiramate (TOP) in drug substances, and products were investigated using different thermal techniques. These include thermogravimetry (TGA), derivative thermogravimetry (DTG), differential thermal analysis (DTA), and differential scanning calorimetry (DSC). The thermogravimetric data allowed the determination of the kinetic parameters: activation energy (Ea), frequency factor (A), and reaction order (n). The thermal degradation of dapsone and topiramate was followed a first-order kinetic behavior. The calculated data evidenced a zero-order kinetic for dimethylsulfone. The relative thermal stabilities of the studied drugs have been evaluated and follow the order DDS > TOP > MSM. The purity was determined using DSC for the studied compounds, in drug substances and products. The results were in agreement with the recommended pharmacopoeia and manufacturer methods. DSC curves obtained from the tablets suggest compatibility between the drugs, excipients and/or coformulated drugs. The fragmentation pathway of dapsone with mass spectrometry was taken as example, to correlate the thermal decomposition with the resulted MS-EI. The decomposition modes were investigated, and the possible fragmentation pathways were suggested by mass spectrometry. 1. Introduction Dapsone (DDS) It is antibacterial drug used in the treatment of Mycobacterium leprae infection (leprosy), and malaria [1, 2]. It is official in BP and USP [3, 4]: Dimethyl Sulfone (MSM) It is used as anti-inflammatory agent [5, 6] and in combination with glucosamine and chondroitin to treat or prevent osteoarthritis [7, 8]: Topiramate (TOP) It is antiepileptic drug [9]. It is official in USP [4]: Different analytical methods were reported for the assay of DDS in dosage forms and in biological fluids, including spectroscopy [10–21], electrochemical methods [22, 23], and chromatography [24–28]. In literature two GC methods were reported for determination of dimethyl sulfone [29, 30]. Topiramate has no ultraviolet, visible, or fluorescence absorption, and available methods for analysis of the drug in biological fluids and pharmaceutical dosage formulation consisted of gas chromatography (GC) coupled with flame ionization (FID) or nitrogen phosphorous detection (NPD) [31–33] and fluorescence polarization immunoassay [34]. HPLC methods, including ionic chromatography, or using refractive index (RI), chemiluminescent nitrogen, or MS detector are described [35–37]. Analysis of the drug in human plasma
Thermal Decomposition of Some Cardiovascular Drugs (Telmisartane, Cilazapril and Terazosin HCL)  [PDF]
L. M. Al-Harbi, E. H. El-Mossalamy, A. Y. Obaid, M. A. EL-RIES
American Journal of Analytical Chemistry (AJAC) , 2013, DOI: 10.4236/ajac.2013.47042

Thermal analysis of some antihypertensive drugs, Telmisartan, Cilazapril and Terazosin HCL was achieved. Thermogravimetry, derivative thermogravimetry and differential thermal analysis were used through the work. Thermogravimetric parameters such as activation energy, frequency factor and reaction order were calculated. The results show the stability value decrease in the order Telmisartan > Cilazapril > Terazosin. This method can be used in the quality control of pharmaceutical compounds because it is simple, fast and cheap.

Mean Square Numerical Methods for Initial Value Random Differential Equations  [PDF]
Magdy A. El-Tawil, Mohammed A. Sohaly
Open Journal of Discrete Mathematics (OJDM) , 2011, DOI: 10.4236/ojdm.2011.12009
Abstract: In this paper, the random Euler and random Runge-Kutta of the second order methods are used in solving random differential initial value problems of first order. The conditions of the mean square convergence of the numerical solutions are studied. The statistical properties of the numerical solutions are computed through numerical case studies.
Using GIS for Time Series Analysis of the Dead Sea from Remotely Sensing Data  [PDF]
Maher A. El-Hallaq, Mohammed O. Habboub
Open Journal of Civil Engineering (OJCE) , 2014, DOI: 10.4236/ojce.2014.44033
Abstract: Developed tools of Remote Sensing and Geographic Information System are rapidly spread in recent years in order to manage natural resources and to monitor environmental changes. This research aims to study the spatial behavior of the Dead Sea through time. To achieve this aim, time series analysis has been performed to track this behavior. For this purpose, fifteen satellite imageries are collected from 1972 to 2013 in addition to 2011-ASTGTM-DEM. Then, the satellite imageries are radiometrically and atmospherically corrected. Geographic Information system and Remote Sensing techniques are used for the spatio-temporal analysis in order to detect changes in the Dead Sea area, shape, water level, and volume. The study shows that the Dead Sea shrinks by 2.9 km2/year while the water level decreases by 0.65 m/year. Consequently, the volume changes by 0.42 km3/year. The study has also concluded that the direction of this shrinkage is from the north, northwest and from the south direction of the northern part due to the nature of the bathymetric slopes. In contrast, no shrinkage is detected from the east direction due to the same reason since the bathymetric slope is so sharp. The use of the Dead Sea water for industrial purposes by both Israel and Jordan is one of the essential factors that affect the area of the Dead Sea. The intensive human water consumption from the Jordan and Yarmouk Rivers for other usages is another main reason of this shrinkage in the area as well.
Using Cellular Automata-Markov Analysis and Multi Criteria Evaluation for Predicting the Shape of the Dead Sea  [PDF]
Maher A. El-Hallaq, Mohammed O. Habboub
Advances in Remote Sensing (ARS) , 2015, DOI: 10.4236/ars.2015.41008
Abstract: In order to make a rational prediction of the Dead Sea shape, data were prepared for suitability map creation using Markov Chain analysis and Multi Criteria Evaluation (MCE). Then, Markov Cellular Automata model and spatial statistics were used in prediction and validation processes. The validation process shows a standard Kappa index of 0.9545 which means a strong relation between the model and reality. The predicted shapes of years 2020, 2030 and 2040 follow the same conditions from 1984 to 2010. The predicted areas of 2020, 2030 and 2040 are 610, 591 and 574 km2 which are considered a logical extension of the trend from 1984 till 2010. This study can be used as an environmental alert in order to keep the Dead Sea alive. Moreover, Markov-Cellular Automata model can be used to predict closed seas as the Dead Sea from remote sensed data.
Study the Entanglement Dynamics of an Anisotropic Two-Qubit Heisenberg XYZ System in a Magnetic Field  [PDF]
A. R. Mohammed, T. M. El-Shahat
Journal of Quantum Information Science (JQIS) , 2017, DOI: 10.4236/jqis.2017.74013
Abstract: We investigate the entanglement dynamics of an anisotropic two-qubit Heisenberg XYZ system with Dzyaloshinskii-Moriya (DM) interaction in the presence of both inhomogeneity of the external magnetic field b and intrinsic decoherence which has been studied. The behavior of quantum correlation and the degree of entanglement between the two subsystems is quantified by using measurement-induced disturbance (MID), negativity (N) and Quantum Discord (QD), respectively. It is shown that in the presence of an inhomogeneity external magnetic field occur the phenomena of long-lived entanglement. It is found that the initial state is the essential role in the time evolution of the entanglement.
The Effect of Tramadol Hydrochloride In-traarticular Injection on IL-6 Level in Patients with Tempromandibular Joint Internal Derangement  [PDF]
Yasser M. El-Gerby, Mohammed A. El-Sholkamy, Amal F. Abdelhai, Eman A. Elsharrawy
Pain Studies and Treatment (PST) , 2015, DOI: 10.4236/pst.2015.34004
Abstract: Purpose: This study was conducted to detect IL-6 in synovial fluid in cases with TMJ internal derangement. Patients & Methods: This study was conducted on forty patients ASA class I with TMJ Internal derangement. All patients had been subjected to arthrocentesis. The synovial fluid was collected before wash and lavage was done for the affected joint. Then, the selected patients were divided randomly into two equal groups, group I: consisted of 20 patients where arthrocentesis was performed for the affected joint followed by intraarticular injection of one ml, tramadol hydrochloride. Group II: consisted of 20 patients where arthrocentesis was performed for the affected joint followed by intraarticular injection of one ml. sodium hyaluronate. Another synovial fluid sample was aspirated after one month. The interlieukin-6 receptors in the aspirated synovial fluid were measured using humans IL-6 enzyme-linked immunosorbent assay. Results: IL-6 was detected in the synovial fluid of joints with internal derangement. During follow up assessment of IL-6, the maximum decrease in IL-6 level was in the patients of group I who subjected to arthrocentesis with tramadol injection, as the mean IL-6 was (4.93 ± 1.36) followed by the patients of group II who subjected to arthrocentesis with sodium hyaluronate injection where the mean IL-6 level was (6.88 ± 1.76). There were significant p-value = (P = 0.000). Conclusions: It had been concluded that the detection of IL-6 in the synovial fluid of joints with internal derangement considered an indicator for inflammatory reaction in the joint and also the efficacy of arthrocentesis with tramadol suggested its anti-inflammatory effect.
Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis  [PDF]
Mohammed Nabih-Ali, El-Sayed A. El-Dahshan, Ashraf S. Yahia
Circuits and Systems (CS) , 2017, DOI: 10.4236/cs.2017.87012
This paper presents an intelligent algorithm for heart diseases diagnosis using phonocardiogram (PCG). The proposed technique consists of four stages: Data acquisition, pre-processing, feature extraction and classification. PASCAL heart sound database is used in this research. The second stage concerns with removing noise and artifacts from the PCG signals. Feature extraction stage is carried out using discrete wavelet transform (DWT). Finally, artificial neural network (ANN) has been used for classification stage with an overall accuracy 97%.
Stand-Alone Intelligent Voice Recognition System  [PDF]
Mohammed R. Saady, Hatem El-Borey, El-Sayed A. El-Dahshan, Ashraf Shamseldin Yahia
Journal of Signal and Information Processing (JSIP) , 2014, DOI: 10.4236/jsip.2014.54019
Abstract: In this paper, an expert system for security based on biometric human features that can be obtained without any contact with the registering sensor is presented. These features are extracted from human’s voice, so the system is called Voice Recognition System (VRS). The proposed system consists of a combination of three stages: signal pre-processing, features extraction by using Wavelet Packet Transform (WPT) and features matching by using Artificial Neural Networks (ANNs). The features vectors are formed after two steps: firstly, decomposing the speech signal at level 7 with Daubechies 20-tap (db20), secondly, the energy corresponding to each WPT node is calculated which collected to form a features vector. One hundred twenty eight features vector for each speaker was fed to the Feed Forward Back-propagation Neural Network (FFBPNN). The data used in this paper are drawn from the English Language Speech Database for Speaker Recognition (ELSDSR) database which composes of audio files for training and other files for testing. The performance of the proposed system is evaluated by using the test files. Our results showed that the rate of correct recognition of the proposed system is about 100% for training files and 95.7% for one testing file for each speaker from the ELSDSR database. The proposed method showed efficiency results were better than the well-known Mel Frequency Cepstral Coefficient (MFCC) and the Zak transform.
Growth Rate Assessment of Alcyonacean Sarcophyton glaucum from Northern Hurghada, Red Sea, Egypt  [PDF]
Tarek A. A. Mohammed, Abdel-Hamid A. Ali, Mohamed M. El-Komi, Mohammed A. H. Ezz El-Arab, Fayez A. M. Shoukr
Natural Resources (NR) , 2016, DOI: 10.4236/nr.2016.76033
Abstract: Eighteen specimens of the soft coral Sarcophyton glaucum have been collected and tagged to determine the growth rate using the weight variations technique and to investigate the reproductive season histologically. Six colonies were totally weighed and 12 fragments (produced from three colonies) were marked and weighed. Some samples showed sever shrinkage that lead to death. The maximum semiannual growth rate was recorded in summer (30.05 gm/6 m). The average monthly growth reached 3.95 gm/month. Many factors affect the growth rate such as water currents, turbidity, sedimentation, temperature and reproduction process. The studied species is a dioecious species (unisex), where the Autozooid polyps are the reproductive organs while siphonozooids are sterile. Female gonads were observed to develop at late July before male gonads which began at late September. Larvae releasing started at late January and the gonads are completely spawned in February. Fertilization occurs internally to form planulae larvae which librated completely in February. The oogenesis exhibited prolonged about 23 months, which gave rise to oocytes of different developmental stages in female colonies at any given time, and a spermatogenic cycle of only 10 - 12 months.
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