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BOT Contracts of Saudi Arabia and Barriers of International Investment: Answer From Law and Economic Perspectives

Mona Elsayed Mohamed Omran, Elsayed Mohamed Omran, Sameer Mohammed Majed Dandan
2016 Indian Journal of Science and Technology  
Omran, Elsayed Mohamed Omran and Sameer Mohammed Majed Dandan  ...  Vol 9 (48) | December 2016 | www.indjst.org Mona Elsayed Mohamed Omran, Elsayed Mohamed Omran and Sameer Mohammed Majed Dandan discussed will mention briefly the outskirts of this decade and what is features  ... 
doi:10.17485/ijst/2016/v9i48/101519 fatcat:g334crau2fdh5m52vkvgi2vyea

Weakly Supervised Object Boundaries [article]

Anna Khoreva, Rodrigo Benenson, Mohamed Omran, Matthias Hein, Bernt Schiele
2015 arXiv   pre-print
State-of-the-art learning based boundary detection methods require extensive training data. Since labelling object boundaries is one of the most expensive types of annotations, there is a need to relax the requirement to carefully annotate images to make both the training more affordable and to extend the amount of training data. In this paper we propose a technique to generate weakly supervised annotations and show that bounding box annotations alone suffice to reach high-quality object
more » ... ies without using any object-specific boundary annotations. With the proposed weak supervision techniques we achieve the top performance on the object boundary detection task, outperforming by a large margin the current fully supervised state-of-the-art methods.
arXiv:1511.07803v1 fatcat:rpqncsk5xrcxfno3fhrmzbejkm

Foreign Investor Participation in Privatizations: Does the Institutional Environment Matter?

Narjess Boubakri, Jean-Claude Cosset, Omrane Guedhami, Mohammed M. Omran
2004 Social Science Research Network  
Using a two-stage estimation procedure, we examine the determinants of foreign investors' participation in the privatization process of developing countries, with a particular emphasis on the role of the institutional environment. First, we estimate the probability that foreign investors target privatized firms in a given country. We show that an investor-friendly institutional environment which protects shareholders' rights favors foreign investors' participation. Foreigners also prefer large
more » ... irms from high growth economies and socially stable countries with low political risk. Second, we restrict our analysis to those firms that foreign investors actually choose. We show that the use of private sales is a key determinant of foreign investors' stake in a privatized firm.
doi:10.2139/ssrn.499062 fatcat:ydkezyy54fbzhekdko5yujidbi

FOREIGN INVESTOR PARTICIPATION IN PRIVATIZATIONS: DOES THE INSTITUTIONAL ENVIRONMENT MATTER?

Narjess Boubakri, Jean-Claude Cosset, Omrane Guedhami, Mohammed Omran
2007 Journal of Financial Research  
Using a two-stage estimation procedure, we examine the determinants of foreign investors' participation in the privatization process of developing countries, with a particular emphasis on the role of the institutional environment. First, we estimate the probability that foreign investors target privatized firms in a given country. We show that an investor-friendly institutional environment which protects shareholders' rights favors foreign investors' participation. Foreigners also prefer large
more » ... irms from high growth economies and socially stable countries with low political risk. Second, we restrict our analysis to those firms that foreign investors actually choose. We show that the use of private sales is a key determinant of foreign investors' stake in a privatized firm.
doi:10.1111/j.1475-6803.2007.00206.x fatcat:guaaptgukjdyrobna6ho5p3q2y

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Mohammed Al-Omran, Muhammad M. Mamdani
2009 Journal of Vascular Surgery  
of Tregs in many solid tumors correlate inversely with patient survival. 5 Moreover, the elderly have depressed immune functions 6 and are more likely than younger subjects to harbor microscopic foci of cancer cells. Therefore, further impairment of immune function in the elderly likely increases the chance of occult tumor growth. Importantly, statin trials have largely excluded subjects with prevalent or remote cancer. In practice, elderly patients are treated with statins regardless of cancer
more » ... status. It is quite possible that in the routine treatment of elderly subjects with statins, an increase cancer incidence and mortality may exceed in magnitude any decrease in cardiovascular disease morbidity and mortality. Perhaps suboptimal use of statin therapy in the elderly is actually a blessing in disguise.
doi:10.1016/j.jvs.2008.12.050 fatcat:unsz5spbbjda5i7lyfe24spfcy

N,N,N-Triethylethanaminium 5,11,17,23-tetra-tert-butyl-25-cyanomethoxy-26,28-dihydroxy-27-oxido-2,8,14,20-tetrathiacalix[4]arene: a molecular salt

Omran A. Omran, Joel T. Mague, Shaaban K. Mohamed, Mehmet Akkurt, Alaa F. Mohamed
2016 IUCrData  
Omran, Joel T. Mague, Shaaban K. Mohamed, Mehmet Akkurt and Alaa F.  ...  1, x160115 [doi:10.1107/S2414314616001152] N,N,N-Triethylethanaminium 5,11,17,23-tetra-tert-butyl-25-cyanometh- oxy-26,28-dihydroxy-27-oxido-2,8,14,20-tetrathiacalix[4]arene: a molecular salt Omran  ... 
doi:10.1107/s2414314616001152 fatcat:vg3kejn3crbkdmrjnesufojkwe

Prevalence of Schistosomiasis Infections among School Children in Sinnar State, Central Sudan

Abdelbasit Mohammed Ibrahim, Omran Fadl Osman Fadl, Ibrahim Mohammed Eisa, Mohamed Mobarak Elbasheir
2019 Zenodo  
Schistosomiasis is a wide distributed disease in Asia, South America, and African sub-Saharan countries. In Sudan it is persistently endemic in most parts of the country particularly in the center where most of the irrigating agricultural schemes were constructed. It affects most of the population of these areas particularly schoolchildren, farmers, and animal breeders. A cross-sectional study was conducted in Sinnar state of central Sudan during the period from July 2018 to February 2019.
more » ... and stool samples were collected from schoolchildren (boys and girls) of ages ranging from 9 to 16 years old with average ages of 13.5 years. For S. mansoni a total of 167 stool samples were collected and processed by a single Kato-Katz test in duplicated slides for the detection and calculation of S. mansoni eggs, while for S. haematobium a total of 229 urine samples were collected and processed by centrifugation concentrating technique for the detection of S. haematobium eggs. Out of the 396 samples (urines and stools) there were 65 positive samples detected, constituting a prevalence rate of 16.4% for the two species. For S. mansoni, out of the 167 stools there were 4 positive samples recorded from Sinnar locality. The overall result revealed that the prevalence of S. mansoni was 2.4 % in Sinnar state, 6.45% in Sinnar locality while all stools from Sinja locality were showed negative results. On the other hand, out of the 229 urines there were 61 positive samples, indicating the prevalence of S. haematobium as 26.6% in Sinnar state. The prevalence of schistosomiasis haematobium in Sinnar and Sinja localities was 4% and 53.3% respectively. However, 57% of the infected children were acquired infection by playing in the water canals. The overall prevalence of schistosomiasis in Sinnar state was 16.4 %. Infection with S. mansoni was 2.4% while with S. haematobium was 26.6%. The prevalence of schistosomiasis in Sinnar locality was 10.4% while i [...]
doi:10.5281/zenodo.3376877 fatcat:ahttlx7pd5anhael2mxlmjspoa

Evaluation of Coronary Stent Expansion during Percutaneous Coronary Interventions Using Stent Boost Visualization in Comparison with Intravascular Ultrasound

Omran Mohamed Omran, Mohammed Hamed Sherif, Ekram Sadek Saied, Medhat Mohamed El-Ashmawy, Amr Dawood El-guindy, Samia Mahmoud Sharaf El-den
2022 Journal of Advances in Medicine and Medical Research  
Even in the era of drug-eluting stents, underexpansion of coronary stents remains a prominent cause of in-stent thrombosis and restenosis in patients having percutaneous coronary interventions (PCI). The aim of this work was to evaluate the value of using stent boost (SB) to detect stent under expansion (UE) by comparing this method to the gold-standard method of measurement by intravascular ultrasound (IVUS). Methods: This prospective observational cross-sectional research enrolled 21 cases
more » ... h chronic coronary artery disease who had elective PCI with IVUS and SB. Every patient was exposed to full history taking, full clinical examination and echocardiography. Pre-stenting IVUS was done to assess lesion characteristics, vessel measurements specifically distal reference lumen diameter and area (distal RLD, RLA) and to assess the size of the needed stent. SB image was obtained helped by the deflated balloon of the immediately deployed stent. IVUS was introduced post-stenting to obviate any hidden complication as well as to assess stent measurements of minimal stent diameter and area (MSD, MSA), hence, identify the group of patients with stent UE for which subsequent high pressure balloon dilatation was done. Post-procedure off-line processing of SB and QCA images to evaluate the presence of UE by both modalities. Results: SB showed good agreement to IVUS regarding MSD which became optimal agreement when done for Xience Xpedition stent (as the commonly used stent in our study). SB was able to detect optimal expansion compared to IVUS with 100% sensitivity and 33.33% specificity (p =0.005, AUC=0.808) at cut-off value criteria of MSD/distal RLD of 70%. The specificity increased to 66.67% when the cut-off value criteria of MSD/distal RLD was 76%. There was less agreement between QCA and IVUS. Conclusions: Stent boost showed good agreement to IVUS regarding MSD which became optimal agreement when done for Xience Xpedition stent (as the commonly used stent in our study). SB was able to detect optimal expansion compared to IVUS with 100% sensitivity and Expedition 66.67% specificity (p =0.005, AUC=0.808) at MSD/distal RLD of 76% as a cut-off value criteria.
doi:10.9734/jammr/2022/v34i1931454 fatcat:7mb34ofmbngetkt2mfgd3ek7pu

Taking a Deeper Look at Pedestrians [article]

Jan Hosang and Mohamed Omran and Rodrigo Benenson and Bernt Schiele
2015 arXiv   pre-print
In this paper we study the use of convolutional neural networks (convnets) for the task of pedestrian detection. Despite their recent diverse successes, convnets historically underperform compared to other pedestrian detectors. We deliberately omit explicitly modelling the problem into the network (e.g. parts or occlusion modelling) and show that we can reach competitive performance without bells and whistles. In a wide range of experiments we analyse small and big convnets, their architectural
more » ... choices, parameters, and the influence of different training data, including pre-training on surrogate tasks. We present the best convnet detectors on the Caltech and KITTI dataset. On Caltech our convnets reach top performance both for the Caltech1x and Caltech10x training setup. Using additional data at training time our strongest convnet model is competitive even to detectors that use additional data (optical flow) at test time.
arXiv:1501.05790v1 fatcat:gziauri2uzcrnmaawzhhwd37yi

Crystal structure of 1-(2-aminophenyl)-3-phenylurea

Joel T. Mague, Shaaban K. Mohamed, Mehmet Akkurt, Omran A. Omran, Mustafa R. Albayati
2015 Acta Crystallographica Section E: Crystallographic Communications  
Mohamed, Mehmet Akkurt, Omran A. Omran and Mustafa R.  ... 
doi:10.1107/s2056989014028175 pmid:25878886 pmcid:PMC4384537 fatcat:uc4vzughhnbzvjt5wo5lo3atyi

MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks [article]

Laith Alzubaidi, J. Santamaría, Mohamed Manoufali, Beadaa Mohammed, Mohammed A. Fadhel, Jinglan Zhang, Ali H.Al-Timemy, Omran Al-Shamma, Ye Duan
2021 arXiv   pre-print
Deep Learning (DL) requires a large amount of training data to provide quality outcomes. However, the field of medical imaging suffers from the lack of sufficient data for properly training DL models because medical images require manual labelling carried out by clinical experts thus the process is time-consuming, expensive, and error-prone. Recently, transfer learning (TL) was introduced to reduce the need for the annotation procedure by means of transferring the knowledge performed by a
more » ... us task and then fine-tuning the result using a relatively small dataset. Nowadays, multiple classification methods from medical imaging make use of TL from general-purpose pre-trained models, e.g., ImageNet, which has been proven to be ineffective due to the mismatch between the features learned from natural images (ImageNet) and those more specific from medical images especially medical gray images such as X-rays. ImageNet does not have grayscale images such as MRI, CT, and X-ray. In this paper, we propose a novel DL model to be used for addressing classification tasks of medical imaging, called MedNet. To do so, we aim to issue two versions of MedNet. The first one is Gray-MedNet which will be trained on 3M publicly available gray-scale medical images including MRI, CT, X-ray, ultrasound, and PET. The second version is Color-MedNet which will be trained on 3M publicly available color medical images including histopathology, taken images, and many others. To validate the effectiveness MedNet, both versions will be fine-tuned to train on the target tasks of a more reduced set of medical images. MedNet performs as the pre-trained model to tackle any real-world application from medical imaging and achieve the level of generalization needed for dealing with medical imaging tasks, e.g. classification. MedNet would serve the research community as a baseline for future research.
arXiv:2110.06512v1 fatcat:tz3zbblysfakbdbifhxgvfzn24

Salt Distribution and Potato Response to Irrigation Regimes under Varying Mulching Materials

Mohamed Hassan Abd El-Wahed, Abdulrasoul Mosa Al-Omran, Mahmoud Mohamed Hegazi, Mahmoud Mohamed Ali, Yahia Abdelaty Mohamed Ibrahim, Ayman EL Sabagh
2020 Plants  
Water scarcity and frequent drought spells are becoming critical challenges to sustainable agricultural development, especially in arid and semiarid regions. Thus, this work aims to investigate the effect of deficit irrigation and varying mulching materials on soil moisture content, salt distribution, and potato yield. The experiment consisted of three irrigation regimes (I100%, I80%, and I60%) of crop evapotranspiration (ETc), designated as I100%, I80%, and I60% of ETc, and five mulching
more » ... ents viz. (i) without mulch (WM), (ii) poultry manure mulch (PMM), (iii) rice straw mulch (RSM), (iv) white plastic mulch (WPM), and (v) black plastic mulch (BPM), which were continued for two consecutive growing seasons. The results showed that soil salinity was affected by mulching and irrigation levels as the salt content increased from the initial soil salinity. Moreover, I60% recorded the highest salt accumulation in the soil profile for WM treatment compared to the rest of the irrigation and mulching treatments. It was also revealed that PMM remained unmatched by significantly producing the highest potato yield compared to other mulching materials. However, the average potato yield decreased by 13.83% and 29.16% in the 2016 season for I80% and I60% and by 12.95% and 30.91% in the 2017 season, respectively, in comparison to full irrigation (I100%). So, when sufficient irrigation water is available, full irrigation (I100%) and PMM treatment are recommended to achieve the maximum potato tuber yield, which has a minimum impact on increasing salinity. However, when the discharge is insufficient, deficit irrigation (I80%) and PMM treatment are recommended to conserve 20% of the irrigation water applied with a minimum reduction in tuber yield and a slight increase in soil salinity.
doi:10.3390/plants9060701 pmid:32486474 fatcat:lraxn3c5rrbi3pqlgmejzsbbci

Fuzzy Logic Based Control for Autonomous Mobile Robot Navigation

Hajer Omrane, Mohamed Slim Masmoudi, Mohamed Masmoudi
2016 Computational Intelligence and Neuroscience  
This paper describes the design and the implementation of a trajectory tracking controller using fuzzy logic for mobile robot to navigate in indoor environments. Most of the previous works used two independent controllers for navigation and avoiding obstacles. The main contribution of the paper can be summarized in the fact that we use only one fuzzy controller for navigation and obstacle avoidance. The used mobile robot is equipped with DC motor, nine infrared range (IR) sensors to measure the
more » ... distance to obstacles, and two optical encoders to provide the actual position and speeds. To evaluate the performances of the intelligent navigation algorithms, different trajectories are used and simulated using MATLAB software and SIMIAM navigation platform. Simulation results show the performances of the intelligent navigation algorithms in terms of simulation times and travelled path.
doi:10.1155/2016/9548482 pmid:27688748 pmcid:PMC5027372 fatcat:42qzrrbgwrgdtofls4wfu5qyre

Managing Transformers Risk through Failure Codification

Abdullah Mohammed Al Qabtan, Mohammed Said Dad Allah AlZadjali, Omran Omar AL Balushi
2020 Journal of Energy - Energija  
The fast development and expansion of any service organizations which followed by increases in the asset numbers that's need to have a proper maintenance strategy which should be cost effective. The aim of any strategy is to have a plan that contribute to improve asset performance by reducing downtime of asset failures.The aim of this paper is to set plan that determine the processes of creating failure code that can create a library of failure modes with its consequences and risk. This allow
more » ... rvice provider to quickly understand the problem and any action that can be taken which have already proven by failure mode effect analysis. Also it's identify most of the functional failures that might happened in the critical asset in the OETC's network. In this study the transformer asset class was taken into the consideration for full failure mood and fault tree analysis.Defining failure codes can give specific instructions to complete a task to reduce the main time to wait in any failure from the total main time to repair, and any smiler failure mode from other assets the corrective action will remain consistent. The selective processes of creating a failure code give the organization a more holistic view of transformers risk which will be used to improve maintenance strategy by integrate those codes into work order system like CMMS
doi:10.37798/202069339 fatcat:rzjlrcj3m5gnbfi4wcmyrira4u

Ten Years of Pedestrian Detection, What Have We Learned? [article]

Rodrigo Benenson, Mohamed Omran, Jan Hosang, Bernt Schiele
2014 arXiv   pre-print
Paper-by-paper results make it easy to miss the forest for the trees.We analyse the remarkable progress of the last decade by discussing the main ideas explored in the 40+ detectors currently present in the Caltech pedestrian detection benchmark. We observe that there exist three families of approaches, all currently reaching similar detection quality. Based on our analysis, we study the complementarity of the most promising ideas by combining multiple published strategies. This new decision
more » ... est detector achieves the current best known performance on the challenging Caltech-USA dataset.
arXiv:1411.4304v1 fatcat:b7nelo2dgra33c652uluglidka
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