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The given research publication analytics system consists of three relations: Researcher, Publication, and Authorship. These relations together represent researchers, their publications, and the relationships between researchers and publications. The schema can be analyzed using the concepts of primary keys, foreign keys, functional dependencies, and normalization. The relation Researcher(ResearcherID, Name, Email, Affiliation) stores information about individual researchers. ResearcherID uniquely identifies each researcher and therefore acts as the primary key. Name represents the researcher's name, Email stores the researcher's email address, and Affiliation represents the institution or organization with which the researcher is associated. A suitable functional dependency is ResearcherID → Name, Email, Affiliation, because a particular ResearcherID determines all the other attributes of that researcher. Email may also be a candidate key if the system guarantees that every researcher has a unique email address. The relation Publication(PubID, Title, Year, Venue) stores information about research publications. PubID uniquely identifies each publication and is therefore the primary key. Title represents the title of the publication, Year indicates the year in which it was published, and Venue identifies the journal, conference, or other publication venue. The _________ ___ _______ _________ _______ __________ __________ __________.
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