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Record Nr. |
UNINA9910637723203321 |
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Autore |
Spathopoulou Aila |
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Titolo |
Bordering and Governmentality Around the Greek Islands / / by Aila Spathopoulou |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2022 |
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ISBN |
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9783031085895 |
9783031085888 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (231 pages) |
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Collana |
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Mobility & Politics, , 2731-3875 |
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Disciplina |
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Soggetti |
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International relations |
Emigration and immigration |
Globalization |
Emigration and immigration - Government policy |
International Relations |
Human Migration |
Migration Policy |
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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 (pages 213-226) and index. |
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Nota di contenuto |
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1. Introduction -- 2. From the scene of arrival onto the road: The ‘(mixed) flow’ -- 3. From the Olive Grove onto the ferry: The ‘refugee volunteer’ -- 4. From the relocation to the vulnerability route: The ‘deserving refugee’ -- 5. From ‘self- detention’ to ‘self-deportation’: The underserving ‘economic migrant’ -- 6. From humanitarian-bordering work to ‘incomplete’ translation: The ‘cultural mediator’ -- 7. From to ‘integration’ to closed hotspots: The ‘migrant’ -- 8. Conclusion. |
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Sommario/riassunto |
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This book focuses on processes of bordering and governmentality around the Greek border islands from the declaration of a ‘refugee crisis’ in the summer of 2015 up until the emergence of the Covid-19 pandemic in 2020. The chapters trace the implementation of the EU migration hotspot approach across space and time, from the maritime Aegean border to the islands (Lesvos and Samos) and from the islands |
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to the Greek mainland. They do so through the lenses of peoples’ refusal to succumb to categories that get reified as identities through the hotspot approach, such as that of the ‘deserving refugee’, the ‘undeserving economic migrant’, the ‘translator’, the ‘volunteer’, the ‘tourist’ and the ‘researcher’. This book explores how ‘migration management’ in Greece from 2015-2020, along with the reshaping of space and time, reconfigured peoples’ relationships with one another and ultimately with one’s self. Aila Spathopoulou is Assistant Professor (Research) in theDepartment of Geography at Durham University, UK. She is also co-coordinator of the Research Area ‘Mobility: Migration and Borders’ at the Feminist Autonomous Centre for Research (Athens). She holds a PhD in Geography from King's College London and has published her research in peer reviewed journals. |
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2. |
Record Nr. |
UNINA9910743219803321 |
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Titolo |
Machine Learning and Systems Biology in Genomics and Health / / edited by Shailza Singh |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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981-16-5992-3 |
981-16-5993-1 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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Collana |
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Biomedical and Life Sciences Series |
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Disciplina |
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Soggetti |
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Genomics |
Molecular genetics |
Bioinformatics |
Biology - Technique |
Gene expression |
Cancer - Genetic aspects |
Molecular Genetics |
Computational and Systems Biology |
Genomic Analysis |
Gene Expression Analysis |
Cancer Genetics and Genomics |
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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. |
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Nota di contenuto |
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Chapter 1: Construction of feedforward multilayer perceptron model for diagnosing leishmaniasis using transcriptome datasets and cognitive computing -- Chapter2- Big data in drug discovery -- Chapter3 - An overview of databases and tools for lncRNA genomics advancing precision medicine -- Chapter 4-Machine Learning in Genomics -- Chapter 5-How Machine Learning has revolutionized the field of Cancer Informatics? -- Chapter 6- Connecting the dots: Using machine learning to Forge Gene Regulatory Networks from large biological datasets -- Chapter 7-Identification of novel Non-coding RNAs in Plants by Big data analysis -- Chapter 8-Artificial Intelligence in Biomedical Image Processing -- Chapter 9- Artificial Intelligence and its Application in Cardiovascular Disease Management. |
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Sommario/riassunto |
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This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics. |
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