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Record Nr. |
UNINA9910872193303321 |
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Autore |
El-Badawi Emran Iqbal |
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Titolo |
Female Divinity in the Qur’an : In Conversation with the Bible and the Ancient Near East / / by Emran El-Badawi |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (209 pages) |
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Disciplina |
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Soggetti |
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Islam - Doctrines |
Islam - History |
Religions |
Islamic Theology |
Islamic History |
Comparative Religion |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1: Introduction -- Chapter 2: The Ancient Tree -- Chapter 3: The Divine Couple -- Chapter 4: Divine Birth -- Chapter 5: Daughters of God? -- Chapter 6: The Rise of Allah -- Chapter 7: Conclusion. |
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Sommario/riassunto |
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“This is a marvelous and original piece of scholarship. El-Badawi’s fresh and controversial ideas will make waves among his peers in the academy, and I mean that in a good way. The author shows remarkable awareness of the history, literature, and epigraphy of the region, very wide and deep. He pulls together a variety of sources and moves easily between them. This is a mature work that shows El-Badawi a first-rate scholar at the top of his field.” —David Penchansky, University of St. Thomas, St. Paul, Minnesota, USA This is the first book to examine how pre-Islamic/Late Antique goddesses shaped the Qur’an, including its basic theology and cosmology. Exploring the traces found in the text of cultic veneration to goddesses of Arabia and the Ancient Near East, this book analyses what these traces tell us about female power in late antique Arabia, and how this power changed on the advent of Islam. |
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While recent studies on the Qur’anic God have typically considered the question of divinity separately from gender, this book bridges the gap between these two questions, and is therefore an essential constructive mission. This mission adduces literary and documentary evidence—including recent scholarly revolutions in Syriac literature and Arabian epigraphy—and builds upon the critical insights of preceding studies in conversation with post-biblical and Near Eastern traditions. Emran El-Badawi is Dean of the College of Liberal and Fine Arts at Tarleton State University, where he is also Full Professor of History, Geography and GIS. He was formerly Chair of the Department of Modern and Classical Languages at the University of Houston, where he also served as Associate Professor and Program Director of Middle Eastern Studies. He is author of Queens and Prophets (Oneworld, 2022); The Qur’an and the Aramaic Gospel Traditions (2013), and co-editor of Communities of the Qur’an (Oneworld, 2019). His current research projects include a book on female power in late antique Arabia, and another on hate speech as a global crisis. He has contributed to Forbes, The Houston Chronicle, and The Christian Science Monitor. |
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2. |
Record Nr. |
UNINA9910861098403321 |
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Autore |
Das Sharma Kaushik |
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Titolo |
Intelligent Computing in Carcinogenic Disease Detection / / by Kaushik Das Sharma, Subhajit Kar, Madhubanti Maitra |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (189 pages) |
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Collana |
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Computational Intelligence Methods and Applications, , 2510-1773 |
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Altri autori (Persone) |
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KarSubhajit |
MaitraMadhubanti |
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Disciplina |
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Soggetti |
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Artificial intelligence - Data processing |
Computer science |
Engineering - Data processing |
Data Science |
Theory and Algorithms for Application Domains |
Data Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Biological Background of Benchmark Carcinogenic Data Sets -- Chapter 3. Intelligent Computing Approaches for Carcinogenic Disease Detection: A Review -- Chapter 4. Classical Approaches in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 5. Intelligent Computing Approach in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 6. Intelligent Computing Approach for Leukocyte Identification -- Chapter 7. Intelligent Computing Approach for Lung Nodule Detection -- Chapter 8. Conclusion -- Index. |
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Sommario/riassunto |
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This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies. |
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