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Cultural Heritage Ethics: Between Theory and Practice

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ISBN: 9781783740680 9781783740697 Year: Pages: 228 DOI: 10.11647/OBP.0047 Language: English
Publisher: Open Book Publishers
Subject: Ethnology
Added to DOAB on : 2015-01-07 17:18:51
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Theory without practice is empty, practice without theory is blind, to adapt a phrase from Immanuel Kant. The sentiment could not be truer of cultural heritage ethics. This intra-disciplinary book bridges the gap between theory and practice by bringing together a stellar cast of academics, activists, consultants, journalists, lawyers, and museum practitioners, each contributing their own expertise to the wider debate of what cultural heritage means in the twenty-first century.Cultural Heritage Ethics provides cutting-edge arguments built on case studies of cultural heritage and its management in a range of geographical and cultural contexts. Moreover, the volume feels the pulse of the debate on heritage ethics by discussing timely issues such as access, acquisition, archaeological practice, curatorship, education, ethnology, historiography, integrity, legislation, memory, museum management, ownership, preservation, protection, public trust, restitution, human rights, stewardship, and tourism.This volume is neither a textbook nor a manifesto for any particular approach to heritage ethics, but a snapshot of different positions and approaches that will inspire both thought and action.Cultural Heritage Ethics provides invaluable reading for students and teachers of philosophy of archaeology, history and moral philosophy – and for anyone interested in the theory and practice of cultural preservation.

Produire des contenus documentaires en ligne : Quelles stratégies pour les bibliothèques ?

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ISBN: 9782375460603 DOI: 10.4000/books.pressesenssib.2814 Language: French
Publisher: Presses de l’enssib
Subject: Languages and Literatures
Added to DOAB on : 2019-12-06 13:15:40
License: OpenEdition Licence for Books

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Les bibliothèques sont confrontées à des nécessités d’exploitation de leurs collections qui ne passent plus seulement par la gestion du stock mais par l’appropriation et la restitution de contenus documentaires. Le plan de l’ouvrage s’articule autour de quatre parties : exploiter les collections ; la curation et la production de contenus ; produire en réseau, et enfin, connaître le contexte juridique et écrire pour le web. Ainsi, le professionnel est devenu médiateur, producteur et éditeur de matières documentaires élaborées. Chaque partie traite aussi des nouvelles compétences relationnelles et techniques à acquérir pour ce faire. Une quinzaine de professionnels abordent ces différents aspects, en s’appuyant sur des réalisations concrètes menées dans les bibliothèques, de lecture publique comme des universités.

Tech Giants, Artificial Intelligence and the Future of Journalism

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ISBN: 9781138499973 9781351013758 Year: Language: English
Publisher: Taylor & Francis Grant: Knowledge Unlatched - 102683
Subject: Media and communication
Added to DOAB on : 2019-02-26 11:21:02
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This book examines the impact of the "Big Five" technology companies – Apple, Alphabet/Google, Amazon, Facebook and Microsoft – on journalism and the media industries. It looks at the current role of algorithms and artificial intelligence in curating how we consume media and their increasing influence on the production of the news.Exploring the changes that the technology industry and automation have made in the past decade to the production, distribution and consumption of news globally, the book considers what happens to journalism once it is produced and enters the media ecosystems of the internet tech giants – and the impact of social media and AI on such things as fake news in the post-truth age.

Earth Observation Data Cubes

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ISBN: 9783039280926 / 9783039280933 Year: Pages: 302 DOI: 10.3390/books978-3-03928-093-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2020-04-07 23:07:09
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Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10

Keywords

topology based map algebra --- data cubes --- big data --- map algebra --- earth oberservation --- GRASS GIS --- earth observations --- satellite imagery --- R --- data cubes --- Sentinel-2 --- Sentinel-1 --- SAR --- analysis ready data --- ARD --- interoperability --- data cube --- Earth observation --- pyroSAR --- data cube --- image cube --- image data cube --- imagery --- Landsat --- Sentinel --- earth observation --- GIS --- web services --- web application --- analysis --- GIS --- Open Data Cube --- Earth Observations --- interoperability --- visualization --- Sentinel --- Analysis Ready Data --- Sentinel-1 --- Synthetic Aperture Radar --- Data Cube --- dual-polarimetric decomposition --- interferometric coherence --- Digital Earth Australia --- remote sensing --- big Earth data --- big EO data --- information extraction --- semantic enrichment --- time-series --- Open Data Cube --- remote sensing --- geospatial standards --- landsat --- sentinel --- analysis ready data --- dynamic data citation --- subset --- data curation --- persistent identifier --- data provenance --- metadata --- versioning --- query store --- data sharing --- FAIR principles --- big earth data --- sustainable development goals --- swiss DC --- Armenian DC --- Landsat --- sentinel --- analysis ready data --- data discovery --- metadata --- knowledge base --- graph data --- intelligent semantic agents --- data cube --- optical remote sensing --- snow cover --- Gran Paradiso National Park --- climate change --- land cover classification --- change --- Digital Earth Australia --- open data cube --- Landsat --- Australia --- Open Data Cube --- UN 2030 Agenda for Sustainable Development --- UN System of Environmental Economic Accounting --- Earth observation data --- open science --- reproducibility --- earth observations --- data cube --- analysis ready data --- remote sensing --- satellite imagery

Application of Bioinformatics in Cancers

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ISBN: 9783039217885 / 9783039217892 Year: Pages: 418 DOI: 10.3390/books978-3-03921-789-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-12-09 11:49:16
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This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.

Keywords

comorbidity score --- mortality --- locoregionally advanced --- HNSCC --- curative surgery --- traditional Chinese medicine --- health strengthening herb --- cancer treatment --- network pharmacology --- network target --- high-throughput analysis --- brain metastases --- colorectal cancer --- KRAS mutation --- PD-L1 --- tumor infiltrating lymphocytes --- drug resistance --- gefitinib --- erlotinib --- biostatistics --- bioinformatics --- Bufadienolide-like chemicals --- molecular mechanism --- anti-cancer --- bioinformatics --- cancer --- brain --- pathophysiology --- imaging --- machine learning --- extreme learning --- deep learning --- neurological disorders --- pancreatic cancer --- TCGA --- curation --- DNA --- RNA --- protein --- single-biomarkers --- multiple-biomarkers --- cancer-related pathways --- colorectal cancer --- DNA sequence profile --- Monte Carlo --- mixture of normal distributions --- somatic mutation --- tumor --- mutable motif --- activation induced deaminase --- AID/APOBEC --- transcriptional signatures --- copy number variation --- copy number aberration --- TCGA mining --- cancer CRISPR --- firehose --- gene signature extraction --- gene loss biomarkers --- gene inactivation biomarkers --- biomarker discovery --- chemotherapy --- microarray --- ovarian cancer --- predictive model --- machine learning --- overall survival --- observed survival interval --- skin cutaneous melanoma --- The Cancer Genome Atlas --- omics --- breast cancer prognosis --- artificial intelligence --- machine learning --- decision support systems --- cancer prognosis --- independent prognostic power --- omics profiles --- histopathological imaging features --- cancer --- intratumor heterogeneity --- genomic instability --- epigenetics --- mitochondrial metabolism --- miRNAs --- cancer biomarkers --- breast cancer detection --- machine learning --- feature selection --- classification --- denoising autoencoders --- breast cancer --- feature extraction and interpretation --- concatenated deep feature --- cancer modeling --- interaction --- histopathological imaging --- clinical/environmental factors --- oral cancer --- miRNA --- bioinformatics --- datasets --- biomarkers --- TCGA --- GEO DataSets --- hormone sensitive cancers --- breast cancer --- StAR --- estrogen --- steroidogenic enzymes --- hTERT --- telomerase --- telomeres --- alternative splicing --- network analysis --- hierarchical clustering analysis --- differential gene expression analysis --- cancer biomarker --- diseases genes --- variable selection --- false discovery rate --- knockoffs --- bioinformatics --- copy number variation --- cell-free DNA --- methylation --- mutation --- next generation sequencing --- self-organizing map --- head and neck cancer --- treatment de-escalation --- HP --- molecular subtypes --- tumor microenvironment --- Bioinformatics tool --- R package --- machine learning --- meta-analysis --- biomarker signature --- gene expression analysis --- survival analysis --- functional analysis --- bioinformatics --- machine learning --- artificial intelligence --- Network Analysis --- single-cell sequencing --- circulating tumor DNA (ctDNA) --- Neoantigen Prediction --- precision medicine --- Computational Immunology

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