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Search Results: 1 - 10 of 401757 matches for " Hala M Mokhtar "
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Homocysteine, an indicator of methylation pathway alternation in Down syndrome and its regulation by folic acid therapy
Hala M El-Gendy,Hala M Mokhtar
Journal of Research in Medical Sciences , 2007,
Abstract: BACKGROUND: Down syndrome (DS) is a complex genetic disease. Some clinical features of patients with this syndrome could be related to functional folate deficiency. The purpose of this study was to evaluate the total homocysteine (T-Hcy) metabolism in DS children and to determine whether the supplementation with folic acid therapy would shift the genetically induced metabolic imbalance or not. METHODS: Thirty-five infants with DS, with the mean age of 17.66 ± 12.24 months were included in this study. They were selected from those attending the Genetic Outpatients Clinic in Children hospital. RESULTS: Our results revealed that Down syndrome children had a significant decrease in serum plasma T-Hcy level after the treatment with folic acid [11.79 ± 0.92 vs. 14.41 ± 4.93 μmol/L]. A significant negative correlation was found between T-Hcy and folic acid serum levels [r = -0.112; P<0.05].CONCLUSIONS: We concluded that the regulation of methylation pathways in Down syndrome patients becomes important in the light of possible normalization of the metabolic imbalance and the detection of increased sensitivity to therapeutic interventions. KEY WORDS: Down syndrome, hyperhomocysteine, folic acid, vitamin B-12.
Integrating Radar Altimeters and Optical Imagery Data for Estimating Water Volume Variations in Lakes and Reservoirs (Case Study: Lake Nasser)  [PDF]
Hala M. Ebaid, Medhat Aziz
Journal of Geographic Information System (JGIS) , 2017, DOI: 10.4236/jgis.2017.96041
Abstract: Monitoring of variations in water for lakes and reservoirs is a requirement for meeting human needs and assessing ongoing climatic changes. However, regular gauging networks fail to provide the information needed for water volume data. The aim of this study is to evaluate an approach to estimate water volume variation for the southern part of Lake Nasser in Egypt without in-situ gauge measurements and bathymetry maps. Combination of both Hydroweb satellite altimetry and Landsat 8 satellite imagery data was used. As compared to in-situ water levels, satellite altimetry provided accurate water levels variations for Lake Nasser; the RMSE was 0.28 m, with excellent agreement (R2 is 0.98). The lowest water level of altimetry database i.e. 174.57 m was used as a reference level for estimating water volumes variations for the study duration 8/2014-6/2015. All water altimetry levels were converted to differences of recorded water level above the lowest altimetry Level (ΔWL). Series of Landsat 8 imagery data were selected to extract surface areas corresponding to radar altimetry water levels dates. Areas-ΔWL relationship model was established as a polynomial function: A = f(ΔWL), and therefore, the relationship of the water volume above the lowest water level for the study time (ΔV) and ΔWL was obtained through the analytical integration of (Area-ΔWL) model. Another approach (Heron method) was also applied for estimating water volume variations. Validation of these two approaches showed that estimated water volume variations above reference water level using both methods i.e. integration and Heron agreed well with in-situ measurements of volume variation deduced from recent bathymetry map and in-situ water levels (R2 for both methods = 0.98). The RMSE for integration method is 323.89 MCM and for Heron method was 318.09 MCM, being approximately 13.2% of the mean volume variations above the lowest reference water level for mean surface area ≈658 km2. Another byproduct for these approaches was the modeling for a remote detecting water level. Once the F(L) relationship is set up for a given region, future Landsat images can be utilized to track water levels freely of
A self-managing fault management mechanism for wireless sensor networks
Muhammad Asim,Hala Mokhtar,Madjid Merabti
International Journal of Wireless & Mobile Networks , 2010,
Abstract: A sensor network can be described as a collection of sensor nodes which co-ordinate with each other toperform some specific function. These sensor nodes are mainly in large numbers and are denselydeployed either inside the phenomenon or very close to it. They can be used for various application areas(e.g. health, military, home). Failures are inevitable in wireless sensor networks due to inhospitableenvironment and unattended deployment. Therefore, it is necessary that network failures are detected inadvance and appropriate measures are taken to sustain network operation. We previously proposed acellular approach for fault detection and recovery. In this paper we extend the cellular approach andpropose a new fault management mechanism to deal with fault detection and recovery. We propose ahierarchical structure to properly distribute fault management tasks among sensor nodes by introducingmore ‘self-managing’ functions. The proposed failure detection and recovery algorithm has beencompared with some existing related work and proven to be more energy efficient
A self-managing fault management mechanism for wireless sensor networks
Muhammad Asim,Hala Mokhtar,Madjid Merabti
Computer Science , 2010,
Abstract: A sensor network can be described as a collection of sensor nodes which co-ordinate with each other to perform some specific function. These sensor nodes are mainly in large numbers and are densely deployed either inside the phenomenon or very close to it. They can be used for various application areas (e.g. health, military, home). Failures are inevitable in wireless sensor networks due to inhospitable environment and unattended deployment. Therefore, it is necessary that network failures are detected in advance and appropriate measures are taken to sustain network operation. We previously proposed a cellular approach for fault detection and recovery. In this paper we extend the cellular approach and propose a new fault management mechanism to deal with fault detection and recovery. We propose a hierarchical structure to properly distribute fault management tasks among sensor nodes by introducing more 'self-managing' functions. The proposed failure detection and recovery algorithm has been compared with some existing related work and proven to be more energy efficient.
Multi-Item EOQ Model with Both Demand-Dependent Unit Cost and Varying Leading Time via Geometric Programming  [PDF]
Kotb A. M. Kotb, Hala A. Fergany
Applied Mathematics (AM) , 2011, DOI: 10.4236/am.2011.25072
Abstract: The objective of this paper is to derive the analytical solution of the EOQ model of multiple items with both demand-dependent unit cost and leading time using geometric programming approach. The varying purchase and leading time crashing costs are considered to be continuous functions of demand rate and leading time, respectively. The researchers deduce the optimal order quantity, the demand rate and the leading time as decision variables then the optimal total cost is obtained.
Function-Based Classification: Model Development and Validation  [PDF]
Umi Asma’ Mokhtar, Zawiyah M. Yusof
Open Journal of Social Sciences (JSS) , 2015, DOI: 10.4236/jss.2015.33031
Abstract:

Classification is a key element of records management initiatives, ensuring systematic organization of documents and facilitates information retrieval. Records management initiatives are based on the lifecycle concept, which comprises of creation, usage, maintenance (classification and organization), appraisal, and disposal. However, classification system is not prevalent in records management compared to other information field such as library where the concept differed in application and connotations. Although classification is crucial for disposal purpose, research addressing the issue is scarce, as past studies limited their focused to the earlier part of the records’ life cycle i.e. storage and retrieval. This study examines classification from a records-management perspective by adopting the qualitative approach. Also it discusses the development of functional-based model and its validation. The proposed model consists of context and decomposed diagrams to illustrate classification processes. The process for validating the model consists of two phases. The first phase is the draft model by means of expert validation, conducted to validate the content and the context of classification process. The second phase of validation was aimed at validating the model in accordance with eight criteria. Further discussion of the findings concerns these seven criteria: content, scope, consistency, comprehensiveness, tailorability, process sequence, and overall impression. The findings revealed that the proposed model is a basic model that is crucial as a guidance for developing records classification. Moreover, the proposed model is timely, as there is as yet no such a model known as a functional model for classifying records.

Records and Information Management: The Requirement for Functional Classification  [PDF]
Zawiyah M. Yusof, Umi Asma’ Mokhtar
Open Journal of Social Sciences (JSS) , 2015, DOI: 10.4236/jss.2015.33032
Abstract:

Records and information management (RIM) has gained its importance when it is proven capable in helping organisations to remain competitive and increase their accountability, transparency and integrity. RIM is practiced based on the life cycle concept which embraces creation through disposal where classification falls in between. Currently, most RIM systems are without classification as the systems were developed without considering the importance of the concept. Literature in RIM has proven that classification is crucial to guarantee the effective implementation of RIM and according to the current best practice. This paper seeks to find out how classification system is developed in public organizations in Malaysia followed by a proposal of a function-based model which seems more stable compared to subject-based classification. Function-based classification is chosen over the subject-base one since its ability to ease the of classification and retrieval processes. Also, function-based classification provides context for records rather than content other than aids appraisal and disposal activities and support the proactive management of records. This study adopts qualitative approach to explore the identified case study, by using interview and content analysis techniques. The former technique was used to sought the requirement for developing the function-based classification system whilst the later was used to aid the development of the propose model. Both the techniques have proven that the function-based classification system and a model are essential for public organizations in Malaysia in particular and elsewhere in general.

Structural, Morphology and Some Optical Properties of Chalcogenide Ga80-xSexTe20 (Where x = 10%, 15% and 20%) Glassy Material  [PDF]
Khadijah M. Al Mokhtar, Bahia O. Alsobhi
New Journal of Glass and Ceramics (NJGC) , 2017, DOI: 10.4236/njgc.2017.74008
Abstract: Ga80-xSexTe20 amorphous system was prepared by conventional technique. Structural, morphology and optical properties have been investigated. X-ray diffraction (XRD) patterns reveal the non-crystalline nature of the prepared sample. Differential thermal analysis (DTA) traces indicate the presence glass transition temperature Tg?for all samples below 500°C. Addition Tg values increases by increasing Se content. Energy dispersive X-ray spectroscopy (EDX) data shows good agreement with actual composition. Moreover, surface characterization was achieved by scanning electron microscope (SEM). The patterns confirmed the non-crystalline nature. In order to analyze the data, the cohesive energy C.E was calculated by all three composition optical properties that have been investigated in the wavelength range 500 - 2500 nm. Reflectivity R and transmitivity T spectrum were used to estimate the band gap energy using UV-Visible absorption spectrum. It is worthy mention that the optical band gap follows the T
Electrical Metrology Applications of LabVIEW Software  [PDF]
Hala M. Abdel Mageed, Ali M. El-Rifaie
Journal of Software Engineering and Applications (JSEA) , 2013, DOI: 10.4236/jsea.2013.63015
Abstract:

Automation in measurement has wide range of electrical metrology applications and construction of powerful calibration software is one of the highly accurate metrological laboratories’ priorities. Thus, two automatic systems for controlling and calibrating the electrical reference standards have been established at National Institute for Standards (NIS), Egypt. The first system has been built to calibrate the zener diode reference standards while the second one has been built to calibrate the electrical sourcing and measuring instruments. These two systems act as the comprehensive and reliable structure that, from the national electrical standards, disseminates the traceability to all the electrical units under calibration. The software of the two systems has been built using the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) graphical language. The standard development procedures have been followed in the building of both systems software. The software requirement specifications as well as functional specifications are taken into consideration. Design, implementation and testing of the software have been performed. Furthermore, software validation for measurements’ uncertainty as well as results’ compatibility in both automatic and manual modes has been achieved.

Genetic Algorithms for Perceptual Codes Extraction  [PDF]
Mahmoud Ltaief, Sourour Njah, Hala Bezine, Adel M. Alimi
Journal of Intelligent Learning Systems and Applications (JILSA) , 2012, DOI: 10.4236/jilsa.2012.44026
Abstract: In this work a new technique for global perceptual codes (GPCs) extraction using genetic algorithms (GA) is presented. GAs are employed to extract the GPCs in order to reduce the original number of features and to provide meaningful representations of the original data. In this technique the GPCs are build from a certain combination of elementary perceptual codes (EPCs) which are provided by the Beta-elliptic model for the generation of complex handwriting movements. Indeed, in this model each script is modelled by a set of elliptic arcs. We associate to each arc an EPC. In the proposed technique we defined four types of EPCs. The GPCs can be formed by many possible combinations of EPCs depending on their number and types. So that, the problem of choosing the right combination for each GPC can be regarded as a global optimization problem which is treated in this work using the GAs. Several simulation examples are presented to evaluate the interest and the efficiency of the proposed technique.
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