612 research outputs found
Weighing Way-Words | In Conversation with Parvis Emad
No full textThinking back to a published conversation between Parvis Emad and the author on “Questions Concerning the Interlingual Translation of Heidegger’s Keywords”, the essay elaborates on the way-character of translation, and on the weight of words, in the context of Heidegger’s thought. While the text centers on a reading of the word Ereignis in English, in conclusion it calls for abandoning the apparent “sheer impossibility” of translating Geschichte and Historie with two different English words
125 - Emad Hassan
No full textUnderstanding the behavior of hospitals is essential specially after major earthquakes. A comprehensive framework is presented to estimate losses of hospital clusters, quantity and quality functionality and recovery. The framework includes the recovery of different lifelines and is applied to Shelby County as a testbed to investigate the effect of interdependence on functionality and recovery assessment as well as the mutual effect of the hospitals. A patient-driven model is introduced to estimate the demand on each hospital, which affects the quality of the hospitalization service. This framework can be utilized by emergency planners for pre- and post-disaster recovery management
Alain Girod, Emad Aziz, Grammaire de l’arabe égyptien d’aujourd’hui, Ellipses, Paris, 2016, 199 p.
No full textLa Grammaire de l’arabe égyptien d’aujourd’hui de A. Girod et E. Aziz est composée de 26 chapitres (187 pages) précédés d’un sommaire et complétés par deux index, un index des notions et un index des mots arabes donnés en transcription. Une bibliographie aurait également été la bienvenue. La présentation assez succincte (1 page) rappelle les objectifs des auteurs, à savoir « combler l’absence de grammaire de l’arabe égyptien d’aujourd’hui en langue française » mais aussi « présenter quelques ..
True eddy accumulation trace gas flux measurements: proof of concept
No full textMicrometeorological methods to quantify fluxes of atmospheric constituents are key to understanding and managing the impact of land surface sources and sinks on air quality and atmospheric composition. Important greenhouse gases are water vapor, carbon dioxide, methane, and nitrous oxide. Further important atmospheric constituents are aerosols, which impact air quality and cloud formation, and volatile organic compounds. Many atmospheric constituents therefore critically affect the health of ecosystems and humans, as well as climate. The micrometeorological eddy covariance (EC) method has evolved as the method of choice for CO2 and water vapor flux measurements using fast-response gas analyzers. While the EC method has also been used to measure other atmospheric constituents including methane, nitrous oxide, and ozone, the often relatively small fluxes of these constituents over ecosystems are much more challenging to measure using eddy covariance than CO2 and water vapor fluxes. For many further atmospheric constituents, eddy covariance is not an option due to the lack of sufficiently accurate and fast-response gas analyzers. Therefore, alternative flux measurement methods are required for the observation of atmospheric constituent fluxes for which no fast-response gas analyzers exist or which require more accurate measurements. True eddy accumulation (TEA) is a direct flux measurement technique capable of using slow-response gas analyzers. Unlike its more frequently used derivative, known as the relaxed eddy accumulation (REA) method, TEA does not require the use of proxies and is therefore superior to the indirect REA method. The true eddy accumulation method is by design ideally suited for measuring a wide range of trace gases and other conserved constituents transported with the air. This is because TEA obtains whole air samples and is, in combination with constituent-specific fast or slow analyzers, a universal method for conserved scalars. Despite the recognized value of the method, true eddy accumulation flux measurements remain very challenging to perform as they require fast and dynamic modulation of the air sampling mass flow rate proportional to the magnitude of the instantaneous vertical wind velocity. Appropriate techniques for dynamic mass flow control have long been unavailable, preventing the unlocking of the TEA method's potential for more than 40 years. Recently, a new dynamic and accurate mass flow controller which can resolve turbulence at a frequency of 10 Hz and higher has been developed by the first author. This study presents the proof of concept that practical true eddy accumulation trace gas flux measurements are possible today using dynamic mass flow control, advanced real-time processing of wind measurements, and fully automatic gas handling. We describe setup and methods of the TEA and EC reference flux measurements. The experiment was conducted over grassland and comprised 7 d of continuous flux measurements at 30 min flux integration intervals. The results show that fluxes obtained by TEA compared favorably to EC reference flux measurements, with coefficients of determination of up to 86 % and a slope of 0.98. We present a quantitative analysis of uncertainties of the mass flow control system, the gas analyzer, and gas handling system and their impact on trace gas flux uncertainty, the impact of different approaches to coordinate rotation, and uncertainties of vertical wind velocity measurements. Challenges of TEA are highlighted and solutions presented. The current results are put into the context of previous works. Finally, based on the current successful proof of concept, we suggest specific improvements towards long-term and reliable true eddy accumulation flux measurements
HypVINN Checkpoints
No full text<p>Training checkpoints for HypVINN (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource (<a href="https://doi.org/10.1162/imag_a_00034" target="_blank" rel="noopener">https://doi.org/10.1162/imag_a_00034</a>).</p>
<p><strong>Abstract</strong></p>
<p>The hypothalamus plays a crucial role in the regulation of a broad range of physiological, behavioral, and cognitive functions. However, despite its importance, only a few small-scale neuroimaging studies have investigated its substructures, likely due to the lack of fully automated segmentation tools to address scalability and reproducibility issues of manual segmentation. While the only previous attempt to automatically sub-segment the hypothalamus with a neural network showed promise for 1.0 mm isotropic T1-weighted (T1w) magnetic resonance imaging (MRI), there is a need for an automated tool to sub-segment also high-resolutional (HiRes) MR scans, as they are becoming widely available, and include structural detail also from multi-modal MRI. We, therefore, introduce a novel, fast, and fully automated deep-learning method named <em>HypVINN</em> for sub-segmentation of the hypothalamus and adjacent structures on 0.8 mm isotropic T1w and T2w brain MR images that is robust to missing modalities. We extensively validate our model with respect to segmentation accuracy, generalizability, in-session test-retest reliability, and sensitivity to replicate hypothalamic volume effects (e.g., sex differences). The proposed method exhibits high segmentation performance both for standalone T1w images as well as for T1w/T2w image pairs. Even with the additional capability to accept flexible inputs, our model matches or exceeds the performance of state-of-the-art methods with fixed inputs. We, further, demonstrate the generalizability of our method in experiments with 1.0 mm MR scans from both the Rhineland Study and the UK Biobank—an independent dataset never encountered during training with different acquisition parameters and demographics. Finally, <em>HypVINN</em> can perform the segmentation in less than a minute (graphical processing unit [GPU]) and will be available in the open source <em>FastSurfer</em> neuroimaging software suite, offering a validated, efficient, and scalable solution for evaluating imaging-derived phenotypes of the hypothalamus.</p>
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New group testing paradigms: from practice to theory
No full textWe propose a novel group testing framework, termed semi-quantitative group testing, motivated by a class of problems arising in genome screening experiments in addition to other applications such as interpretable rule learning for decision making.
Semi-quantitative group testing (SQGT) is a (possibly) non-binary pooling scheme that may be viewed as a concatenation of an adder channel and an integer-valued quantizer. In its full generality, SQGT may be viewed as a unifying framework for group testing, in the sense that most group testing models are special instances of SQGT. For the new testing scheme, we define the notion of SQ-disjunct and SQ-separable test matrices, representing generalizations of classical disjunct and separable matrices. We describe combinatorial and probabilistic constructions for such matrices without considering any restriction on the thresholds of the SQGT model (i.e. SQGT with arbitrary thresholds). Then, we focus on the important special case in which the thresholds are equidistant, and construct SQ-disjunct and SQ-separable matrices for this model. While for most of the constructions described in this dissertation, it is assumed that the number of defectives is much smaller than total number of test subjects, we also consider the case in which there is no restriction on the number of defectives and they may be as large as the total number of subjects. For the constructed matrices, we describe a number of efficient decoding algorithms based on algebraic methods and message passing on graphical models. Finally, we introduce the novel probabilistic group testing framework of Poisson group testing, applicable to dynamic testing with diminishing relative rates of defectives. For this new model, we consider both nonadaptive and adaptive testing schemes and develop lower bounds and tight constructive upper bounds on the number of required tests.Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-08-01The student, Amin Emad, accepted the attached license on 2015-05-15 at 15:20.The student, Amin Emad, submitted this Dissertation for approval on 2015-05-15 at 15:32.This Dissertation was approved for publication on 2015-05-18 at 08:17.DSpace SAF Submission Ingestion Package generated from Vireo submission #8244 on 2015-09-29 at 14:58:26Made available in DSpace on 2015-09-29T20:49:24Z (GMT). No. of bitstreams: 2
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Previous issue date: 2015-05-18Embargo set by: Seth Robbins for item 89415
Lift date: 2017-09-29T20:50:34Z
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Comptes rendus mis en ligne en 2018-2019
No full textHilali Asma, The Ṣanʿāʾ Palimpsest. The transmission of the Qurʾan in the first centuries AH., Oxford University Press, 2017, 271 pages.ISBN : 9780198793793 (Hassan I. Bouali) Larcher Pierre, Syntaxe de l’arabe classique, Presses Universitaires de Provence (PUP), 2017, 340 pages.ISBN: 9791032001288(Catherine Pinon) Girod Alain, Aziz Emad, Grammaire de l’arabe égyptien d’aujourd’hui, Ellipses, Paris, 2016, 199 pages.ISBN: 9782340009875(Catherine Pinon
Egypt's Moment of Reform: A Reality or Illusion? CEPS Policy Brief No. 78, July 2005
No full textIn this Policy Brief, Prof. Emad El-Din Shahin of the American University in Cairo assesses the prospects for the democratic reform movement in Egypt ahead of the parliamentary and presidential elections due to take place in the autumn. At stake are not only greater public freedoms demanded by the people, but also the prospect of a hereditary succession to the presidency if the regime governed by President Hosni Mubarak (and progressively his son Gamal) is successful in scuppering change. The author concludes that, to overcome the numerous challenges that the democratic movement faces and make reform a reality instead of yet another missed opportunity, certain structural changes and institutional safeguards should be introduced
Heuristic on-line tuning for nonlinear model predictive controllers using fuzzy logic
No full textCorresponding Author:
Mr. Emad Ali
Chemical Engineering Department, King Saud University,
P.O. Box 800, Riyadh 11421, Saudi Arabia.
Fax: +966-1-467-8770, Email: [email protected] this paper a systematic mechanism for online tuning of the nonlinear model predictive controllers is presented. The proposed method automatically adjusts the prediction horizon, P, the diagonal elements of the input weight matrix, Λ, and the diagonal elements of the output weight matrix, Γ for the sake of good performance. The desired good performance is cast as a time-domain specification. The control horizon, M is left constant because its relative value with respect to P is more important. The tuning algorithm is designed using the fuzzy logic concepts. Predefined fuzzy rules that represent available tuning guidelines and the performance violation measure in the form of fuzzy sets determine the new tuning parameter values. Therefore, the tuning algorithm is formulated as a simple and straightforward mechanism. This feature makes it more appealing for online implementation. The effectiveness of the proposed tuning method is tested through simulated implementation on three nonlinear process examples. Two of these examples possess open-loop unstable dynamics. The result of the simulations revealed the success of such a method
Author verification of Nahj Al-Balagha
No full textThis is an accepted manuscript of an article published by OUP in Digital Scholarship in the Humanities on 20/01/2022.
The accepted version of the publication may differ from the final published version. Available online at https://doi.org/10.1093/llc/fqab103The primary purpose of this paper is author verification of the Nahj Al-Balagha, a book attributed to Imam Ali and over which Sunni and Shi’i Muslims are proposing different theories. Given the morphologically complex nature of Arabic, we test whether morphological segmentation, applied to the book and works by the two authors suspected by Sunnis to have authored the texts, can be used for author verification of the Nahj Al-Balagha. Our findings indicate that morphological segmentation may lead to slightly better results than whole words, and that regardless of the feature sets, the three sub-corpora cluster into three distinct groups using Principal Component Analysis, Hierarchical Clustering, Multi-dimensional Scaling and Bootstrap Consensus Trees. Supervised classification methods such as Naive Bayes, Support Vector Machines, k Nearest Neighbours, Random Forests, AdaBoost, Bagging and Decision Trees confirm the same results, which is a clear indication that (a) the book is internally consistent and can thus be attributed to a single person, and (b) it was not authored by either of the suspected authors
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