15 research outputs found
Aurelien Gilliot's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
The source of the Qur’an and the response to the suspicions of Claude Gilliot The article "Informants" in the Encyclopedia of the Quranic - A critical study
No full textعُني هذا البحث بواحدة من أهم الاتهامات التي وجّهت إلى القرآن قديماً وحديثاً، وهي التشكيك في مصدرية هذا القرآن الإلهية، والتي يثيرها مجموعة من المستشرقين، فمعروف أن من أبرز أعمال المستشرقين المعاصرين المهتمين بالدراسات القرآنية التركيز على تأليف كتب أو مقالات، خاصة ما وضعوه من مواد في الموسوعة القرآنية، فأصبح من الضرورة مناقشة ما جاء فيها من شبهات وشكوك.
يتناول هذا البحث مناقشة المقالة التي بعنوان "المخبرون" التي كتبها كلود جيليو، أحد المحررين الرئيسيين للموسوعة.
ولأجل إعطاء نظرة شاملة عن الموضوع، تم تقسيمه إلى ثلاثة مباحث: في الأول تعريف بالموسوعة وبالمؤلف، وفي الثاني عرض للشبهات الواردة في المقالة، وفي الثالث مناقشة لهذه الشبهات نقاشاً علمياً مبنياً على الأدلة.Ever since the Qur’anic revelation, it has been opposed by different kinds of accusations and claims.
This paper discusses one of the main accusations raised historically and in present-day; the
questioning of the source of the Qur’an. This matter has been raised by Orientalists, whom resorted
to selectively picking parts of Islamic topics to raise doubts about them.
As significant efforts of Orientalists interested in Qur’anic Studies have been put in writing the
Encyclopedia of the Quran, the importance of discussing articles in this encyclopedia arises .
This paper discusses the article titled “Informants”, written by Claude Gilliot, who is a chief editor
of the encyclopedia .
This paper consists of three sections: 1. Introduction to the encyclopedia and the author of the
article, 2. Presentation of issues/doubts raised in the article, 3. Discussion and analysis of these
issues/doubts
Muqātil, grand exégète, traditionniste et théologien maudit
No full textCet article a été traduit en persan s.t.: Muḥaddiṯ wa mutakallim maṭrūd, Muqātil mufassir bazrakInternational audienceMuqatil b. Sulayman (ob. 150/767) is the author of a koranic commentary which has been edited. It is one of the first most ancient commentaries that i sextant to us. The problems of its transmission, its main features, and the theological ideas of this exegete are disccussed here.Muqatil b. Sulayman (ob. 150/767) est l'auteur d'un commentaire coranique qui est édité, et qui l'un des plus anciens qui nous soient parvenus. Ce commentaire et les idées théologiques de cet exégète du Khorasan sont étudiés ici
Yāḳūt al-Rūmī (in English)
No full textYaqut al-Rumi al-Hamawi (574 ou 575/1179-626/1229) was born from non Arab Christian parents in the Byzantine territory. He was taken as a slave by Muslims. He became a well known litterate and historiograph. He is the author of a a Dictionary of the literates (edited and translated) and of a Dictionary of the lands and localities (edited)Yaqut al-Rumi al-Hamawi (574 ou 575/1179-626/1229) naquit de parents non arabes chrétiens en territoire byzantin. Il fut emmené par des musulmans en esclavage. Il devint un célèbre homme de lettres, historiographe et poète. Il est, en particulier, l'auteur d'un Dictionnaire des hommes de lettres (édité et traduit) et d'un Dictionnaire des pays et des localités (édité)
Yāḳūt al-Rūmī
No full textYaqut al-Rumi al-Hamawi (574 ou 575/1179-626/1229) was born from non Arab Christian parents in the Byzantine territory. He was taken as a slave by Muslims. He became a well known litterate and historiograph. He is the author of a a Dictionary of the literates (edited and translated) and of a Dictionary of the lands and localities (edited).Yaqut al-Rumi al-Hamawi (574 ou 575/1179-626/1229) naquit de parents non arabes chrétiens en territoire byzantin. Il fut emmené par des musulmans en esclavage. Il devint un célèbre homme de lettres, historiographe et poète. Il est, en particulier, l'auteur d'un Dictionnaire des hommes de lettres (édité et traduit) et d'un Dictionnaire des pays et des localités (édité)
Sequencing enabling design and learning in synthetic biology
No full textThe ability to read and quantify nucleic acids such as DNA and RNA using sequencing technologies has revolutionized our understanding of life. With the emergence of synthetic biology, these tools are now being put to work in new ways – enabling de novo biological design. Here, we show how sequencing is supporting the creation of a new wave of biological parts and systems, as well as providing the vast data sets needed for the machine learning of design rules for predictive bioengineering. However, we believe this is only the tip of the iceberg and end by providing an outlook on recent advances that will likely broaden the role of sequencing in synthetic biology and its deployment in real-world environments
Effective design and inference for cell sorting and sequencing based massively parallel reporter assays
No full textThe ability to measure the phenotype of millions of different genetic designs using Massively Parallel Reporter Assays (MPRAs) has revolutionised our understanding of genotype-to-phenotype relationships and opened avenues for data-centric approaches to biological design. However, our knowledge of how best to design these costly experiments and the effect that our choices have on the quality of the data produced is lacking. In this article, we tackle the issues of data quality and experimental design by developing FORECAST, a Python package that supports the accurate simulation of cell-sorting and sequencing based MPRAs and robust maximum likelihood based inference of genetic design function from MPRA data. We use FORECAST's capabilities to reveal rules for MPRA experimental design that help ensure accurate genotype-to-phenotype links and show how the simulation of MPRA experiments can help us better understand the limits of prediction accuracy when this data is used for training deep learning based classifiers. As the scale and scope of MPRAs grows, tools like FORECAST will help ensure we make informed decisions during their development and the most of the data produced
Transfer learning for cross-context prediction of protein expression from 5’UTR sequence
No full textModel-guided DNA sequence design can accelerate the reprogramming of living cells. It allows us to engineer more complex biological systems by removing the need to physically assemble and test each potential design. While mechanistic models of gene expression have seen some success in supporting this goal, data-centric, deep learning-based approaches often provide more accurate predictions. This accuracy, however, comes at a cost — a lack of generalization across genetic and experimental contexts that has limited their wider use outside the context in which they were trained. Here, we address this issue by demonstrating how a simple transfer learning procedure can effectively tune a pre-trained deep learning model to predict protein translation rate from 5’ untranslated region (5’UTR) sequence for diverse contexts in Escherichia coli using a small number of new measurements. This allows for important model features learnt from expensive massively parallel reporter assays to be easily transferred to new settings. By releasing our trained deep learning model and complementary calibration procedure, this study acts as a starting point for continually refined model-based sequence design that builds on previous knowledge and future experimental efforts
