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1. |
Record Nr. |
UNINA9911018762503321 |
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Autore |
Roy Siddhartha |
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Titolo |
Gene Expression and its Regulation: An Evolutionary Perspective / / by Siddhartha Roy |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (324 pages) |
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Disciplina |
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Soggetti |
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Genetics |
Evolutionary genetics |
Molecular genetics |
Developmental genetics |
Evolutionary Genetics |
Molecular Genetics |
Developmental Genetics |
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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: Genes, DNA, and Protein-DNA Interactions -- Chapter 2: Genomes in three domains of life -- Chapter 3: Transcription Initiation, Elongation and Termination -- Chapter 4: mRNA modification and processing -- Chapter 5:Translation and Post-translational Processes -- Chapter 6: Gene Expression within a Cell: An Integrative View -- Chapter 7: Regulation of Gene Expression in Prokaryotes -- Chapter 8: Regulation of Transcription in Eukaryotes -- Chapter 9: Regulation of Gene Expression By Chemical Modifications -- Chapter 10:Co- and Post-transcriptional regulation in Eukaryotes -- Chapter 11:Evolution of gene regulatory systems -- Chapter 12:Biological Consequences of Regulation and Dysregulation of Gene Expression. |
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Sommario/riassunto |
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This textbook for graduate students provides a conceptual framework for comprehending the diversity and evolutionary relationships of gene regulatory systems. It elucidates the importance and significance of the physical and chemical principles that underpin gene regulatory processes. The Chapters of the book may be conceptually divided into |
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six sections; the first section, consisting of Chapters 1 and 2, presents the basic organization of genes, genomes, and aspects of gene regulation in three domains of life. The second section, consisting of Chapters 3-5 describes the process of gene expression as it goes from the DNA sequence embedded in the genome to the final functional protein. The third section, consisting of Chapter 6, discusses special characteristics of gene expression within cells. The fourth section, consisting of Chapters 7-10 discusses how genes are regulated in different domains of life. The fifth section, consisting of Chapter 11, presents details of gene regulatory systems in three domains of life; archaea, eubacteria, and eukarya and their evolutionary relationship. In the final section, consisting of Chapter 12, the book underscores the potential to artificially intervene and alter gene regulation and attempts to re-engineer gene regulatory circuits. |
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2. |
Record Nr. |
UNINA9911008493603321 |
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Autore |
Spinde Timo |
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Titolo |
Automated Detection of Media Bias : From the Conceptualization of Media Bias to its Computational Classification / / by Timo Spinde |
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Pubbl/distr/stampa |
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Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (308 pages) |
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Disciplina |
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Soggetti |
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Application software |
Computer simulation |
Communication |
Information theory |
Computer and Information Systems Applications |
Computer Modelling |
Media and Communication Theory |
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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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Introduction -- Media Bias -- Questionnaire Development -- Dataset Creation -- Feature-based Media Bias Detection -- Neural Media Bias Detection -- Visualization and Perception of Media Bias -- Conclusion and FutureWork. |
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Sommario/riassunto |
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This Open Access book explores the automated identification of media bias, particularly focusing on bias by word choice in digital media. The increasing prevalence of digital information presents opportunities and challenges for analyzing language, with cultural, geographic, and contextual factors shaping how content is portrayed. Despite the interdisciplinary nature of media bias research across fields like linguistics, psychology, and computer science, existing work often tackles the problem from limited perspectives, lacking comprehensive frameworks and reliable datasets. The book aims to advance the field by addressing these gaps and proposing a systematic approach to media bias detection. It develops feature-based and deep-learning approaches for automated bias detection, including a BERT-based model and MAGPIE, a multi-task learning model. These methods demonstrate improved performance on established benchmarks, showcasing the potential of deep learning in detecting media bias. Finally, the author addresses the practical applications of automated bias detection, such as enhancing news reading with forewarning messages, text annotations, and political classifiers, and examines the impact of bias on social media engagement. About the author Timo Spinde is a postdoctoral researcher specializing in media bias. He is the founder and coordinator of the Media Bias Group research network. He is affiliated with the University of Göttingen and the National Institute of Informatics (NII) in Tokyo. |
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