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Search Results: 1 - 10 of 415 matches for " Fouad Abutaleb "
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Clinical and Pathological Value of MACC-1 Expression in Gastric Carcinoma  [PDF]
Abeer Hafez, Tarek El-Gohary, Fouad Abutaleb
Journal of Cancer Therapy (JCT) , 2019, DOI: 10.4236/jct.2019.107050
Abstract: Background: Gastric adenocarcinoma is known to be a markedly invasive disease with high potential for metastasis. Hepatocyte growth factor (HGF)/HGF receptor (MET) signaling pathway activation is an assumed mechanism of malignant transformation and metastatic potential of tumors. Metastasis associated with colon cancer-1 (MACC-1) has been identified as a key regulator of HGF/MET signaling. However, its role in gastric cancer is not well understood. Aim of this study is to assess the expression of MACC-1 in gastric cancer, its relation to other clinical and pathologic parameters and its impact on progression free and overall survival. Patient and Methods: Evaluation of MACC-1 protein expression by immune-histochemistry
Notes on HCV- ELISA Test Results of the Hemodialysis patients
Abutaleb Nasrulla
Saudi Journal of Kidney Diseases and Transplantation , 2008,
Abstract:
Is the omission of assessing split renal function from living kidney donor′s work-up justified?
Abutaleb Nasrulla
Saudi Journal of Kidney Diseases and Transplantation , 2010,
Abstract:
The Problem of Unintended Anticoagulation in Hemodialyis Patients
Abutaleb Nasrullah
Saudi Journal of Kidney Diseases and Transplantation , 2006,
Abstract:
The elderly with advanced chronic kidney disease
Abutaleb Nasrulla
Saudi Journal of Kidney Diseases and Transplantation , 2011,
Abstract:
Emergency Hemodialysis through Arterial Accesses: A Potential Controversy
Abutaleb Nasrullah
Saudi Journal of Kidney Diseases and Transplantation , 2006,
Abstract:
Can the principle of "LYFT" help objectively in timing renal transplantation therapy for the CKD patients?
Abutaleb Nasrulla
Saudi Journal of Kidney Diseases and Transplantation , 2008,
Abstract:
Instantaneous Frequency Estimation Using Stochastic Calculus and Bootstrapping
A. Abutaleb
EURASIP Journal on Advances in Signal Processing , 2005, DOI: 10.1155/asp.2005.1886
Abstract: Stochastic calculus methods are used to estimate the instantaneous frequency of a signal. The frequency is modeled as a polynomial in time. It is assumed that the phase has a Brownian-motion component. Using stochastic calculus, one is able to develop a stochastic differential equation that relates the observations to instantaneous frequency. Pseudo-maximum likelihood estimates are obtained through Girsanov theory and the Radon-Nikodym derivative. Bootstrapping is used to find the bias and the confidence interval of the estimates of the instantaneous frequency. An approximate expression for the Cram r-Rao lower bound is derived. An example is given, and a comparison to existing methods is provided.
Applications of Thermal Imaging in Agriculture—A Review  [PDF]
Roselyne Ishimwe, K. Abutaleb, F. Ahmed
Advances in Remote Sensing (ARS) , 2014, DOI: 10.4236/ars.2014.33011
Abstract: In thermal remote sensing the invisible radiation patterns of objects are converted into visible images and these images are called thermograms or thermal images. Thermal images can be acquired using portable, hand-held or thermal sensors that are coupled with optical systems mounted on an airplane or satellite. This technology is a non-invasive, non-contact and non-destructive technique used to determine thermal properties and features of any object of interest and therefore it can be used in many fields, where heat is generated or lost in space and time. Potential use of thermal remote sensing in agriculture includes nursery and greenhouse monitoring, irrigation scheduling, plants disease detection, estimating fruit yield, evaluating maturity of fruits and bruise detection in fruits and vegetables. This paper reviews the application of thermal imaging in agriculture and its potential use in various agricultural practices.
Sentinel-1 Radar Data Assessment to Estimate Crop Water Stress  [PDF]
M. A. El-Shirbeny, K. Abutaleb
World Journal of Engineering and Technology (WJET) , 2017, DOI: 10.4236/wjet.2017.52B006
Abstract:
Water is an important component in agricultural production for both yield quantity and quality. Although all weather conditions are driving factors in the agricultural sector, the precipitation in rainfed agriculture is the most limiting weather parameter. Water deficit may occur continuously over the total growing period or during any particular growth stage of the crop. Optical remote sensing is very useful but, in cloudy days it becomes useless. Radar penetrates the cloud and collects information through the backscattering data. Normalized Difference Vegetation Index (NDVI) was extracted from Landsat 8 satellite data and used to calculate Crop Coefficient (Kc). The FAO-Penman-Monteith equation was used to calculate reference evapotranspiration (ETo). NDVI and Land Surface Temperature (LST) were calculated from satellite data and integrated with air temperature measurements to estimate Crop Water Stress Index (CWSI). Then, both CWSI and potential crop evapotranspiration (ETc) were used to calculate actual evapotranspiration (ETa). Sentinel-1 radar data were calibrated using SNAP software. The relation between backscattering (dB) and CWSI was an inverse relationship and R2 was as high as 0.82.
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