949 research outputs found
Interview with Mostafa Moharram
No full textهذه المقابلة مع المؤلف والسيناريست المصري مصطفى محرم. يستعرض كتاباته وأفلامه ، ويؤكد على أهمية السيناريو والكتابات المتخصصة . يشرح دور كاتب السيناريو وهو المسؤول عن خلق عمل فعال وجيد ، وكذلك التعامل بطريقة جيدة مع فريق التمثيل . أجرت المقابلة درية شرف الدينIn this interview, Egyptian author and screenwriter Mostafa Moharram speaks about his movies and the importance of scenarios in creating good work. The interview was conducted by Dorreya Sharaf al-Din
Detection and Analysis of Epilepsy Biomarkers in Electrocorticography
No full textAuthor Mostafa MohammadpourDissertation Johannes Kepler Universität Linz 202
Detection and Analysis of Epilepsy Biomarkers in Electrocorticography
No full textAuthor Mostafa MohammadpourDissertation Johannes Kepler Universität Linz 202
L’année de Bacchus d’El Mostafa Bouignane entre devoir de la mémoire et exaltation de la vie
No full textThis study will discuss the approach to the structure and narrative composition of the novel entitled L\u27année de Bacchus by Mostafa Bouignane, published by Virgule Editions in 2020. This text adds to a series of stories of which Bouignane constructs a narrative universe to reveal the nature of man who, even submissive and reduced, remains capable of regaining his freedom and leading a peaceful life. Thus, our study will propose an analysis of the ideological and historical dimension of this text representative of the literary experience of the author, then at the end the questioning of his human and moral values
SAM: a unified self-adaptive multicompartmental spiking neuron model for learning with working memory
Get PDFWorking memory is a fundamental feature of biological brains for perception, cognition, and learning. In addition, learning with working memory, which has been show in conventional artificial intelligence systems through recurrent neural networks, is instrumental to advanced cognitive intelligence. However, it is hard to endow a simple neuron model with working memory, and to understand the biological mechanisms that have resulted in such a powerful ability at the neuronal level. This article presents a novel self-adaptive multicompartment spiking neuron model, referred to as SAM, for spike-based learning with working memory. SAM integrates four major biological principles including sparse coding, dendritic non-linearity, intrinsic self-adaptive dynamics, and spike-driven learning. We first describe SAM’s design and explore the impacts of critical parameters on its biological dynamics. We then use SAM to build spiking networks to accomplish several different tasks including supervised learning of the MNIST dataset using sequential spatiotemporal encoding, noisy spike pattern classification, sparse coding during pattern classification, spatiotemporal feature detection, meta-learning with working memory applied to a navigation task and the MNIST classification task, and working memory for spatiotemporal learning. Our experimental results highlight the energy efficiency and robustness of SAM in these wide range of challenging tasks. The effects of SAM model variations on its working memory are also explored, hoping to offer insight into the biological mechanisms underlying working memory in the brain. The SAM model is the first attempt to integrate the capabilities of spike-driven learning and working memory in a unified single neuron with multiple timescale dynamics. The competitive performance of SAM could potentially contribute to the development of efficient adaptive neuromorphic computing systems for various applications from robotics to edge computing
Cataglyphis laylae Cedric A. Collingwood & Donat Agosti & Mostafa R. Sharaf & Antonius van Harten 2011, nov. spec.
No full textCataglyphis laylae Collingwood nov. spec. Plates 96–103 Cataglyphis desertorum Forel, 1894, teste Collingwood, 1985; unavailable name according to Agosti (1990). Specimens examined: Holotype: 1 ☿, United Arab Emirates, al-Ain [24°13'N 55°46'E], iii.1995, leg. C.A. Collingwood (MHNG). Paratypes: 3 ☿, al-Ain zoo, 13.iii.2005, CAC. 1 ☿, Remah, 9.iii.1995, CCA. 3 ☿, Remah, resthouse, 250 m, irrigated sand dune [24°10'37"N 55°18'6"E], 18.iii.1995, leg. D. Agosti. 6 ☿, Remah, resthouse, 250 m, irrigated sand dune, nest with one entrance, [24°10'37"N, 55°18'6"E], 18.iii.1995, leg. D. Agosti. 1 ☿, Sharjah Desert Park, 5–6.x.2004, AvH; 1 ☿, 3.iii.2005, CAC. 1 ☿, al- Za'aba, 100 m, sandy soil with Rhaisa stricta [23°43'20"N, 55°33'49"E], 22.iii.1995, leg. D. Agosti. Description: A large worker from al-Ain was selected as holotype. The measurements are as follows: total length 8.40; head width 3.60; head length 4.20; scape length 3.84; funicular segment I 0.40; funicular segment II 0.23; petiole length 1.10; petiole width 0.72. Colour dark reddish brown. There are no exterior hairs on the scapes or hind tibia. The gaster, petiole and propodeum have dorsal hairs. Remarks: This species thought to correspond with C. desertorum has to be described as a new species. In fact it is one of the commonest Cataglyphis in southern Arabia. The main distinguishing feature compared with other dark Cataglyphis is the slender petiole, which has the anterior face more sloped than in other similar species such as C. niger (André, 1882) and C. savignyi (Dufour, 1862). Biology: Cataglyphus laylae nov. spec. does not appear to occur in open sandy desert and is most abundant in disturbed habitats such as man-developed plantations and open cultivated fields. Distribution: This species was recorded by Collingwood (1985) as C. desertorum from Saudi Arabia and Oman and as Cataglyphis spec. by Collingwood & Agosti (1996). Etymology: The new species is named after a village settlement called “Layla”, just north of Riyadh (Saudi Arabia) in the area where the author (CAC) first encountered it in numbers in an Acacia plantation.Published as part of Cedric A. Collingwood, Donat Agosti, Mostafa R. Sharaf & Antonius van Harten, 2011, Order Hymenoptera, family Formicidae, pp. 1-70 in Arthropod fauna of the UAE 4 on page 54, DOI: 10.5281/zenodo.116858
Digital amplification for pathogen detection in bloodstream infections from whole blood
Get PDFSensitive and specific detection of bacteria is essential for control and treatment of bloodstream infections. Sepsis, a diagnostic challenge of blood stream infections, causes thousands of deaths each year. The gold standard for detection and identification of microorganisms is blood culture, which can take up to 5 days to yield a diagnosis or a negative result. Molecular diagnostic methods and nucleic acid assays developed to detect pathogens often require enrichment through blood culture prior to DNA extraction. Nonetheless, state of the art diagnostic tests that detect pathogens directly from blood are available with limitations. Increased amount of sample processing and purification is required before detection of pathogens and turnaround time to results can be up to 8 hours. Moreover, the sensitivity and specificity of such assays are broad in range. Thus, there is a need for a rapid detection method that can identify pathogens from whole blood within 1-2 hours, with minimal sample processing and high sensitivity and specificity.
In this work, we demonstrate detection of bacterial pathogens from whole blood through loop mediated isothermal amplification without the steps of DNA purification and extraction. Whole blood with pathogens is dried to tubes, creating separated phases of the cellular debris of blood from the amplification reaction and allowing for separation of background human DNA from target DNA as well as better detection of amplicons that are not masked by red blood cells. We show that this method is robust, having a detection limit of 1 cfu of pathogens in 4uL of whole blood. In preparation of processing higher blood volumes in a digital amplification method, we also show characterization experiments and preliminary results of amplification of pathogens from whole blood on chip.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01The student, Ariana Mostafa, accepted the attached license on 2019-12-04 at 05:15.The student, Ariana Mostafa, submitted this Thesis for approval on 2019-12-04 at 05:29.This Thesis was approved for publication on 2019-12-05 at 09:04.DSpace SAF Submission Ingestion Package generated from Vireo submission #14686 on 2020-02-28 at 17:23:14Made available in DSpace on 2020-03-02T22:15:06Z (GMT). No. of bitstreams: 3
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Reasons to Be Satisfied or Dissatisfied With a Virtual Coach for Quitting Smoking and Becoming More Physically Active: A Mixed-Methods Analysis
No full textA virtual coach, Sam, was created by the Perfect Fit project to aid users in establishing a foundation to stop smoking via the means of making them more physically active. Data from 500 users had been collected from them during stages which start with a pre-screening phase until a post-questionnaire phase. In the latter stage, they provided a rating regarding their satisfaction or dissatisfaction with Sam and a free-text response mentioning the reasons why. Through different means of analysing the data, the research question is answered, which is determining the reasons to be satisfied or dissatisfied with a virtual coach for quitting smoking and becoming more physically active. The three methods of analysis that have been used are a qualitative thematic analysis of the free-text responses, a quantitative analysis of user characteristics and ratings to obtain Pearson correlations, and a literature study.The findings display five themes which altered users' satisfaction when using Sam. These themes are technical competency, beneficiality, user experience, interrelations and conversationalist. The quantitative analysis had resulted in correlations of at most a moderate degree. However, from the ones which displayed a significant p-value, only 3 correlations against ratings were found and 3 correlations against themes were found. A literature study conducted on outcomes of research from relevant eHealth applications aided the direction of some correlations, such as ones with personality traits. Moreover, their correlation outcomes were compared to shed light on whether the outcomes of this research and previous ones align or differ. Some correlations did align such as with the case of the beneficiality theme against a user's characteristic of conscientiousness and emotional stability.CSE3000 Research ProjectComputer Science and Engineerin
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