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Search Results: 1 - 10 of 57 matches for " Asal Homayouni "
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Delta activity independent of its activity as a ligand of Notch
Lee-Peng Mok, Tielin Qin, Boris Bardot, Matthew LeComte, Asal Homayouni, Francois Ahimou, Cedric Wesley
BMC Developmental Biology , 2005, DOI: 10.1186/1471-213x-5-6
Abstract: Using Drosophila cultured cells we show that the full length Delta promotes accumulation of Daughterless protein, fringe RNA, and pangolin RNA in the absence of Scabrous or Notch. Scabrous binds Delta and suppresses this activity even though it increases the level of the Delta intracellular domain. We also show that Scabrous can promote Notch receptor activity, in the absence of Delta.Delta has activity that is independent of its activity as a ligand of Notch. Scabrous suppresses this Delta activity. Scabrous also promotes Notch activity that is dependent on Delta's ligand activity. Thus, Notch, Delta, and Scabrous might function in complex combinatorial or mutually exclusive interactions during development. The data reported here will be of significant help in understanding these interactions in vivo.Notch (N) and Delta (Dl) are cell surface proteins that are required for differentiation of almost all tissues in the fruit fly Drosophila melanogaster. They are evolutionarily conserved, functioning similarly in animals from worms to humans [1,2]. The best-known instance of their function is the process of lateral inhibition that initiates differentiation of the neuronal and epidermal tissues from proneural cells that are predisposed to making the neuronal tissue. Proneural cells express high levels of the neuronal transcription co-factors from the Achaete Scute Complex (ASC) or related genes [3,4]. These factors require their partner Daughterless (Da) to activate transcription of the neurogenesis genes [5-7]. Da is expressed at low levels in all Drosophila cells [8] and up regulated in proneural cells specified to differentiate the neurons [5]. Whether or not the up regulation of Da expression is part of lateral inhibition is not clear in Drosophila. In Caenorhabditis elegans, however, the differential accumulation of the Da homolog HLH-2 is the earliest detectable difference between the cells taking up alternate fates during lateral inhibition [9]. As N and Dl are k
Creation and Analysis of Earth’s Surface Roughness Maps from Airborne LiDAR Measurements in Downtown Urban Landscape  [PDF]
Fahmy F. F. Asal
Journal of Geographic Information System (JGIS) , 2019, DOI: 10.4236/jgis.2019.112015
Abstract: The Earth’s surface roughness constitutes an important parameter in terrain analysis for studying different environmental and engineering problems. Authors gave different definitions and measures for the earth’s surface roughness that usually depend on exploitation of digital elevation data for its reliable determination. This research aimed at exploring the different approaches for defining and extraction of the Earth’s surface roughness from Airborne LiDAR Measurements. It also aimed at evaluating the effects of the window size of the standard deviation filter on the created roughness maps in downtown landscapes using three known approaches namely; standard deviation filtering of the Digital Elevation Model (DEM), standard deviation filtering of the slope gradient model and standard deviation filtering of the profile curvature model. In this context, different roughness maps have been created from Airborne LiDAR measurements of the City of Toronto, Canada using the three filtering approaches with varying window sizes. Visual analysis has shown color tones of small roughness values with smooth textures dominate the roughness maps from small window sizes of the standard deviation filter, however, increasing the window sizes has produced wider variations of the color tones and rougher texture roughness maps. The standard deviations and ranges of the roughness maps from LiDAR DEM have increased due to increasing the filter window size while the skewness and kurtosis have decreased due to increasing the window size, indicating that the roughness maps from larger window sizes are statistically more symmetrical and more consistent. Thus, kurtosis has decreased by 53% and 82% due to increasing the window size to 7 × 7 and 15 × 15 respectively. The standard deviations of the roughness maps from the slope gradient model have increased due to increasing the window size till 15 × 15 while they have decreased with more increases. However, skewness has decreased due to increasing the window size till 15 × 15 and the kurtosis has decreased with higher rate till window size of 11 × 11. In the roughness maps from the profile curvature model, the ranges and skewness have decreased by 93.6% and 82.6% respectively due to increasing the window size to 15 × 15 while, kurtosis has decreased by 58.6%, 76.3% and 93.76% due to increases in the filter window size to 5 × 5, 7 × 7 and 15 × 15 respectively.
Non-linear Growth Impacts of Financial Development in Euro Area
Maher Asal
International Journal of Economics and Finance , 2012, DOI: 10.5539/ijef.v4n12p23
Abstract: Using GMM model and data from 11 Euro Area countries and 5 non-Euro countries over the period 1989 to 2011, we explore the nonlinear effects of financial development on the performance of Euro Area economy that is: its growth, capital accumulation, investment and productivity. Four measures of financial developments are examined, namely, liquidity, size, volatility and bank’s loans to private enterprises. Special consideration is devoted to modeling threshold effects of public debt that has increased substantially in recent years in several Euro countries. We found that the effect of stock market size is always positive whether we consider the level of real per capita income or its growth. However, the effect of banking sector, volatility, liquidity and public debt are generally negative. In addition, we find support for the channels of investment, saving, total factor productivity, and capital intensity. For all the four channels, the results indicate a significant negative link between banking development and volatility of stock returns. The impact of debt on growth seems to be negative with the turning point of public debt likely to be between 45-65%.
Vascular Endothelial Growth Factors and Their Inhibitors in Ocular Neovascular Disorders
Mansour Homayouni
Journal of Ophthalmic & Vision Research , 2009,
Abstract: The introduction of pharmacotherapy has been one of the most important advances in the management of retinal disorders. Age-related macular degeneration (AMD) was once considered as an irrepressible disease leading to permanent macular damage, however anti-vascular endothelial growth factor (anti-VEGF) agents are now believed to halt the progression of the condition and improve vision in a considerable proportion of patients. Anti-VEGF agents are among the most commonly used drugs in ophthalmology but questions and uncertainties still surround their indications, efficacy and complications. This paper reviews the role of VEGF under physiologic and pathologic conditions in the eye and available anti-VEGF agents in current ophthalmic practice.
Application of Sparse Bayesian Generalized Linear Model to Gene Expression Data for Classification of Prostate Cancer Subtypes  [PDF]
Behrouz Madahian, Lih Y. Deng, Ramin Homayouni
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.47049
Abstract:

A major limitation of expression profiling is caused by the large number of variables assessed compared to relatively small sample sizes. In this study, we developed a multinomial Probit Bayesian model which utilizes the double exponential prior to induce shrinkage and reduce the number of covariates in the model [1]. A hierarchical Sparse Bayesian Generalized Linear Model (SBGLM) was developed in order to facilitate Gibbs sampling which takes into account the progressive nature of the response variable. The method was evaluated using a published dataset (GSE6099) which contained 99 prostate cancer cell types in four different progressive stages [2]. Initially, 398 genes were selected using ordinal logistic regression with a cutoff value of 0.05 after Benjamini and Hochberg FDR correction. The dataset was randomly divided into training (N = 50) and test (N = 49) groups such that each group contained equal number of each cancer subtype. In order to obtain more robust results we performed 50 re-samplings of the training and test groups. Using the top ten genes obtained from SBGLM, we were able to achieve an average classification accuracy of 85% and 80% in training and test groups, respectively. To functionally evaluate the model performance, we used a literature mining approach called Geneset Cohesion Analysis Tool [3]. Examination of the top 100 genes produced an average functional cohesion p-value of 0.007 compared to 0.047 and 0.131 produced by classical multi-category logistic regression and Random Forest approaches, respectively. In addition, 96 percent of the SBGLM runs resulted in a GCAT literature cohesion p-value smaller than 0.047. Taken together, these results suggest that sparse Bayesian Multinomial Probit model applied to cancer progression data allows for better subclass prediction and produces more functionally relevant gene sets.

An unusual cause of acute abdomen in an adolescent
Al-Samarrai Asal
Saudi Journal of Gastroenterology , 2004,
Abstract:
Malzeme htiya Planlamas ve üretim Kaynaklar Planlamas n n KOB ’ler üzerindeki Etkilerinin Ara t r lmas
Enver AYDO?AN,?mer ASAL
Selcuk Universitesi Sosyal Bilimler Enstitusu Dergisi , 2009,
Abstract: Manufacturing Resource Planning (MRP) is a technics of management schudeling and control which is use for minimize thestock envestismans, to increase production and activity and to develop the service for buyer. Manufacturing Resource Planning(MRP II) is a informatics system which is use for planning of production activities at the long and middle period. In this study,effects of Material Requirement Planning and Manufacturing Resource Planning on the control activities were examined. In thestudies, it is aimed that designation technological structure of the companies, establishing the rivalry force and designation effectson the companies. For this aim, researchs were carried out on the companies that have MRP or MRP II, continual productionand especially have a assembly line. Total 93 companies that in the Ankara region and different industry areas have been added inthis study. In this study, a questionnaire that existenced 39 questions have been applicated about general informations, companyproperties, structure of the organization, general management and production management. The results which have been obtainedthe questionnaire have been transferred SPSS 15 Software. The results have been commented on the outcome of the SPSSprogramme.While the production activities have been maintained at present industry, date of production and deliveries, cost ofproduction, defining the capasity of production, commodity procurement and acquiring quality are quite important. On accountof this, enterprises have to make production planning before commencing the production for achieving analysis of when, bywhom, where, in which way, on which products, in which duration and steps the production will be implemented. All theactivities of enterprise functions start with what their obectives are and how to attain them. However, this is the beginning ofplanning process; so production acivities start with production planning initially as production is an enterprise function.Production planning should be defined as planning activity of optimal quantity usage of resources for preset requirements ofproduction. The plans which purvey production requirements to attain enterprise’s objectives are production plannings. All of theproduction activities that will be implemented in enterprise are realized according to production plans. Production plans leadmanagers and employees who are dealing with production activities.The importance of production planning has improved rapidly in parallel with the improvement of production systems. Thereasons that production planning must take place
No-mesh inguinal hernia repair with continuous absorbable sutures: Is it a step forward or backward?
Naguib Nader,ElSamerraai Asal
Saudi Journal of Gastroenterology , 2009,
Abstract:
Meckel diverticulum presenting as an abdominal mass
Al-Samarrai Asal
Saudi Journal of Gastroenterology , 1997,
Abstract:
Comparative Analysis of the Digital Terrain Models Extracted from Airborne LiDAR Point Clouds Using Different Filtering Approaches in Residential Landscapes  [PDF]
Fahmy F. F. Asal
Advances in Remote Sensing (ARS) , 2019, DOI: 10.4236/ars.2019.82004
Abstract:

Light Detection And Ranging (LiDAR) is a well-established active remote sensing technology that can provide accurate digital elevation measurements for the terrain and non-ground objects such as vegetations and buildings, etc. Non-ground objects need to be removed for creation of a Digital Terrain Model (DTM) which is a continuous surface representing only ground surface points. This study aimed at comparative analysis of three main filtering approaches for stripping off non-ground objects namely; Gaussian low pass filter, focal analysis mean filter and DTM slope-based filter of varying window sizes in creation of a reliable DTM from airborne LiDAR point clouds. A sample of LiDAR data provided by the ISPRS WG III/4 captured at Vaihingen in Germany over a pure residential area has been used in the analysis. Visual analysis has indicated that Gaussian low pass filter has given blurred DTMs of attenuated high-frequency objects and emphasized low-frequency objects while it has achieved improved removal of non-ground object at larger window sizes. Focal analysis mean filter has shown better removal of nonground objects compared to Gaussian low pass filter especially at large window sizes where details of non-ground objects almost have diminished in the DTMs from window sizes of 25 × 25 and greater. DTM slope-based filter has created bare earth models that have been full of gabs at the positions of the non-ground objects where the sizes and numbers of that gabs have increased with increasing the window sizes of filter. Those gaps have been closed through exploitation of the spline interpolation method in order to get continuous surface representing bare earth landscape. Comparative analysis has shown that the minimum elevations of the DTMs increase with increasing the filter widow sizes till 21 × 21 and 31 × 31 for the Gaussian low pass filter and the focal analysis mean filter respectively. On the other hand, the DTM slope-based filter has kept the minimum

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