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From Bilateral Arbitral Tribunals and Investment Courts to a Multilateral Investment Court

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Book Series: European Yearbook of International Economic Law ISBN: 9783662597323 Year: Pages: 222 DOI: 10.1007/978-3-662-59732-3 Language: English
Publisher: Springer Nature
Subject: Law
Added to DOAB on : 2020-02-04 11:21:13
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This open access book considers the potential setup for a future Multilateral Investment Court (MIC). The option of an MIC was first discussed by the EU Commission in 2016 and has since been made an official element of the EU Common Commercial Policy. In 2017, UNCITRAL also decided to discuss the possibility of an MIC, and on 20 March 2018, the Council of the EU gave the EU Commission the mandate to negotiate the creation of an MIC. The “feasibility study” presented here is intended to contribute to a broader discussion on the options for a new international court specialized in investment protection. The cornerstones of such a new permanent court are a strict orientation on the rule of law, reduced costs of investment protection, transparency considerations, aspects of consistency in case law, and the effective enforceability of MIC decisions.

Art Markets and Digital Histories

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ISBN: 9783039219704 9783039219711 Year: Pages: 156 DOI: 10.3390/books978-3-03921-971-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: History of arts --- Arts in general
Added to DOAB on : 2020-04-07 23:07:09
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This Special Issue of Arts investigates the use of digital methods in the study of art markets and their histories. As historical and contemporary data is rapidly becoming more available, and digital technologies are becoming integral to research in the humanities and social sciences, we sought to bring together contributions that reflect on the different strategies that art market scholars employ to navigate and negotiate digital techniques and resources. The essays in this issue cover a wide range of topics and research questions. Taken together, the essays offer a reflection on what takes to research art markets, which includes addressing difficult topics such as the nature of the research questions and the data available to us, and the conceptual aspects of art markets, in order to define and operationalize variables and to interpret visual and statistical patterns for scholarship. In our view, this discussion is enriched when also taking into account how to use shared or interoperable ontologies and vocabularies to define concepts and relationships that facilitate the use and exchange of linked (open) data for cultural heritage and historical research.

Systems Analytics and Integration of Big Omics Data

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ISBN: 9783039287444 / 9783039287451 Year: Pages: 202 DOI: 10.3390/books978-3-03928-745-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2020-06-09 16:38:57
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A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Keywords

tissue-specific expressed genes --- transcriptome --- tissue classification --- support vector machine --- feature selection --- bioinformatics pipelines --- algorithm development for network integration --- miRNA–gene expression networks --- multiomics integration --- network topology analysis --- candidate genes --- gene–environment interactions --- logic forest --- systemic lupus erythematosus --- Gene Ontology --- KEGG pathways --- enrichment analysis --- proteomic analysis --- plot visualization --- Alzheimer’s disease --- dementia --- cognitive impairment --- neurodegeneration --- Gene Ontology --- annotation --- biocuration --- amyloid-beta --- microtubule-associated protein tau --- artificial intelligence --- genotype --- phenotype --- deep phenotype --- data integration --- genomics --- phenomics --- precision medicine informatics --- epigenetics --- chromatin modification --- sequencing --- regulatory genomics --- disease variants --- machine learning --- multi-omics --- data integration --- curse of dimensionality --- heterogeneous data --- missing data --- class imbalance --- scalability --- genomics --- pharmacogenomics --- cell lines --- database --- drug sensitivity --- data integration --- omics data --- genomics --- RNA expression --- non-omics data --- clinical data --- epidemiological data --- challenges --- integrative analytics --- joint modeling --- multivariate analysis --- multivariate causal mediation --- distance correlation --- direct effect --- indirect effect --- causal inference --- n/a

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