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RAMY M. K. ALY Becoming Arab in London: Performativity and the Undoing of Identity (2015)
2020
Mashriq & Mahjar
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NOTES1 Ramy M. K. Aly, Becoming Arab in London: Performativity and the Undoing of Identity (London: Pluto Press, 2015), 97. 2 Ibid., 5. 3 Ibid. ...
Ramy Aly's book, Becoming Arab in London: Performativity and the Undoing of Identity, is therefore a welcomed contribution to the field. ...
doi:10.24847/77i2020.252
fatcat:puzya6w3gzdrhmnidsvs7rb2pa
Does hallucinating involve perceiving?
2017
Philosophical Studies
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Ali
For a detailed discussion and extended defense of perceiving absences, see Sorensen (2008) .Does hallucinating involve perceiving? ...
that illusions and hallucinations look identical from the contemporary viewpoint if all one is concerned with is perceptual contact with properties. 14 I discuss some of these in my dissertation, El Ali ...
doi:10.1007/s11098-017-0884-7
fatcat:r6istvxtibhp5d4qker3vv2usy
CÂBÎZÂDE HALÎL FÂ'İZ EFENDİ'NİN RÂMÎ MEHMED PAŞA'YA SUNDUĞU BAHÂRİYYE'Sİ
2019
HİKMET-Akademik Edebiyat Dergisi (Journal Of Academic Literature)
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provides information about the type of bahâriyye poetry in general as well as about Câbîzâde Halîl Fâ'iz Efendi, and then closely examines a transcribed text of the poet's own 'Bahâriyye' presented to Râmî ...
İçinde Râmî Mehmed Paşa övgüsünde 1 kaside, 33 gazel, 1 kıt'a, 21 rübai, 15 müfred, 12 lugaz ve 14 tarih vardır. Şiirleri güzel olup devrinde beğenilmiştir. 2. ...
Mehmed Paşa için dua bölümüne geçmesi gerektiğini söyler: Yeter yeter bu ḳadar 'arż-ı ḥāl ey Fā'iż Du'ā-yı devletini it ṣaḥīfe-i eẕkār Bahâriyye'nin sonunda Allah'tan Râmî Mehmed Paşa'nın her anını mutlu ...
doi:10.28981/hikmet.538643
fatcat:6zrbuu5hbnbl5dx4dhyrkdcy7q
Dissertations Repository System Using Context Module
[article]
2010
arXiv
pre-print
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Ali Abdullah Al-Afnan, Dr.Ibrahim Al-Dubaian and all the staff in king Saud University especially in Applied Medical Science In "Al-Majmah" for thier unlimited support, without thier notes and suggestions ...
Rami Alnaqeibhe is master student in the Department of Information Technology / Faculty of Computer Science and Information Technology/University of Malaya / Kuala Lumpur/Malaysia, He has contribution ...
arXiv:1005.4026v1
fatcat:j7ptpt3pjzc3zhdorkeywgnqmu
Reply to "Comment on Light deflection by Damour-Solodukhin wormholes and Gauss-Bonnet theorem" by Amrita Bhattacharya and Kh. Karimov Ramis
[article]
2018
arXiv
pre-print
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We reply to the Comment of Bhattacharya and Karimov on our paper Light deflection by Damour-Solodukhin wormholes and Gauss-Bonnet theorem [arXiv:1811.00768 [gr-qc]]. We address a number of incorrect claims made about our calculations and methodology. We show below that the claims of BK are incorrect, and that there are no problems with the results of Övgün's paper or its implications.
arXiv:1811.06870v1
fatcat:6fsb5ppea5aklgqjlft2nptuxy
Internet Banking System Prototype
[article]
2010
arXiv
pre-print
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Ali Abdullah Al-Afnan, Dr.Ibrahim Al-Dubaian and all the staff in king Saud University especially in Applied Medical Science In "Al-Majmah" for thier unlimited support, without thier notes and suggestions ...
arXiv:1005.4028v1
fatcat:w5anjhqcz5ebti4azlqp3nie6m
On the Module of Internet Banking System
[article]
2010
arXiv
pre-print
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Ali Abdullah Al-Afnan, Dr.Ibrahim Al-Dubaian and all the staff in king Saud University especially in Applied Medical Science In "Al-Majmah" for thier unlimited support, without thier notes and suggestions ...
arXiv:1005.4029v1
fatcat:nobs63zbsjebtgdat4wsovpzeq
Secure Aggregation for Buffered Asynchronous Federated Learning
[article]
2021
arXiv
pre-print
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Federated learning (FL) typically relies on synchronous training, which is slow due to stragglers. While asynchronous training handles stragglers efficiently, it does not ensure privacy due to the incompatibility with the secure aggregation protocols. A buffered asynchronous training protocol known as FedBuff has been proposed recently which bridges the gap between synchronous and asynchronous training to mitigate stragglers and to also ensure privacy simultaneously. FedBuff allows the users to
arXiv:2110.02177v1
fatcat:h3zgibnfvjdxtdrwimmlbodrlq
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... send their updates asynchronously while ensuring privacy by storing the updates in a trusted execution environment (TEE) enabled private buffer. TEEs, however, have limited memory which limits the buffer size. Motivated by this limitation, we develop a buffered asynchronous secure aggregation (BASecAgg) protocol that does not rely on TEEs. The conventional secure aggregation protocols cannot be applied in the buffered asynchronous setting since the buffer may have local models corresponding to different rounds and hence the masks that the users use to protect their models may not cancel out. BASecAgg addresses this challenge by carefully designing the masks such that they cancel out even if they correspond to different rounds. Our convergence analysis and experiments show that BASecAgg almost has the same convergence guarantees as FedBuff without relying on TEEs.
Ballistic Penetration Analysis of Soft Laminated Composites Using Sublaminate Mesoscale Modeling
2021
Journal of Composites Science
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Ballistic impact mitigation requires the development of protective armor applications from composite material systems with good energy absorption and penetration resistance against threats, e.g., metallic projectiles. In this aim, high-strength and high-stiffness soft fibrous composite materials (such as ultra-high molecular weight polyethylene—UHMWPE) are often used. The high specific strength feature is one of the main reasons for using these soft composite systems in ballistic impact
doi:10.3390/jcs5010021
fatcat:cyuhgy4mz5e57icjac6aot2aiy
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... ions. In the present investigation, experimental and computational finite element (FE) studies were carried out to investigate the ballistic behaviors of these soft layered composite targets. To this end, a new FE multi-scale analysis framework for ballistic simulations is offered. The proposed analysis presents a new meso-scale sublaminate material model, which is applied to Dyneema® cross-ply laminate in order to predict its behavior under ballistic impact. The sublaminate model is implemented within an explicit dynamic FE code to simulate the continuum response in each element. The sublaminate model assumes a through-thickness periodic stacking of repeated cross-ply configuration. In addition, a cohesive layer is introduced in the sublaminate model in order to simulate the delamination effect leading to the subsequent degradation and deletion of the elements. This new approach eliminates the widely used costly computational approach of using explicit cohesive elements installed at pre-specified potential delamination paths between the layers. Furthermore, in-plane damage modes (such as fiber tensile, and out-of-plane shearing) are also accounted for by employing failure criteria and strain-softening. The obtained quantitative results of ballistic impact simulations show good correlation when compared to a relatively wide range of experiments. Moreover, the simulations include evidence of capturing the main energy absorption mechanisms under high-velocity impact. The proposed modeling approach can be used as a useful armor design tool.
'Dragon horn SCC'
2019
BMJ Case Reports
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Fast and accurate classification of echocardiograms using deep learning
[article]
2017
arXiv
pre-print
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Echocardiography is essential to modern cardiology. However, human interpretation limits high throughput analysis, limiting echocardiography from reaching its full clinical and research potential for precision medicine. Deep learning is a cutting-edge machine-learning technique that has been useful in analyzing medical images but has not yet been widely applied to echocardiography, partly due to the complexity of echocardiograms' multi view, multi modality format. The essential first step
arXiv:1706.08658v1
fatcat:vrp7okdfb5gy3ipzpuwz5ywiwq
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... comprehensive computer assisted echocardiographic interpretation is determining whether computers can learn to recognize standard views. To this end, we anonymized 834,267 transthoracic echocardiogram (TTE) images from 267 patients (20 to 96 years, 51 percent female, 26 percent obese) seen between 2000 and 2017 and labeled them according to standard views. Images covered a range of real world clinical variation. We built a multilayer convolutional neural network and used supervised learning to simultaneously classify 15 standard views. Eighty percent of data used was randomly chosen for training and 20 percent reserved for validation and testing on never seen echocardiograms. Using multiple images from each clip, the model classified among 12 video views with 97.8 percent overall test accuracy without overfitting. Even on single low resolution images, test accuracy among 15 views was 91.7 percent versus 70.2 to 83.5 percent for board-certified echocardiographers. Confusional matrices, occlusion experiments, and saliency mapping showed that the model finds recognizable similarities among related views and classifies using clinically relevant image features. In conclusion, deep neural networks can classify essential echocardiographic views simultaneously and with high accuracy. Our results provide a foundation for more complex deep learning assisted echocardiographic interpretation.
Bone loss following spinal cord injury
2014
Journal of Neurorestoratology
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The purpose of this study was to evaluate the pattern of bone loss and its consequences in a group of spinal cord injury (SCI) patients managed at the Spinal Unit-Royal Rehabilitation Centre, King Hussein Medical Centre, and its correlation with level and extent of injury, age, and time since injury. Methods: Bone mineral density (BMD) was measured by dual energy x-ray absorptiometry at the lumbar spine and femoral neck in a group of patients who had suffered an SCI a mean of 8.6 (range 1-31)
doi:10.2147/jn.s49438
fatcat:dfdw4xcn2jbpdlrfb37hfoljou
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... ars earlier and had completed their medical and rehabilitation program during the period July 2003 to December 2013. The patients were diagnosed to have osteoporosis according to World Health Organization criteria and their fracture risk was estimated from this score using published data. The severity of their spinal injuries ranged from class A to D according to American Spinal Injury Association criteria. Results: Of the 55 patients included in the study, 45 were male and ten were female, with a male to female ratio of 4.5:1. Their mean age was 39.5 (range 13-61) years. Bone loss indicated by low BMD revealed that the femoral region was predominantly affected, with relative preservation of the lumbar spine. Abnormal BMD values were detected in 83.6% of subjects, and fractures occurred in 16.4% following minor trauma. A positive correlation was noted between time since injury and degree of osteoporosis. Individuals with complete lesions showed lower BMD values than those with incomplete lesions. No significant correlation was found with age or sex. Conclusion: SCI patients are at high risk of developing osteoporosis, which can lead to significant morbidity, particularly lower extremity fractures without significant trauma. Prevention and early treatment of bone loss are important in this patient group to avoid further functional impairment.
Latent curing of epoxy-thiol thermosets
2017
Polymer
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Ramis, Sequential curing of off-stoichiometric thiol-epoxy thermosets with a custom-tailored structure, Polym. Chem. Therefore, from eq. ...
doi:10.1016/j.polymer.2017.03.064
fatcat:oc3ezjisyvasfkmrztwnpebnyq
Quality Evaluation of Complete Feed with Ramie Waste Added With Different Protein Source in Nutrient Composition and Ensilage Parameter
2015
Animal Production
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Kata kunci: rami, teknologi ensilage, sumber protein, komposisi nutrien, parameter ensilage ...
Key words: ramie, ensilage technology, protein source, nutrient composition, ensilage parameter Abstrak. ...
CF 0 : non-ensilage ramie waste-based complete feed; CF 1 : non-ensilage ramie waste-based complete feed; N: ramie waste-based complete feed with plant protein; H: ramie waste-based complete feed with ...
doi:10.20884/1.anprod.2015.17.1.480
fatcat:dm6ydx4eezfkbh2xk5jwblkc5i
Mechanical characterization of aerogel materials with digital image correlation
2016
Microporous and Mesoporous Materials
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Haj-Ali et al. / Microporous and Mesoporous Materials 226 (2016) 44e52 ...
doi:10.1016/j.micromeso.2015.12.035
fatcat:kpmo6khzn5d3lihyxxaxbrufq4
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