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Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model. [PDF]
Wong JKW+4 more
europepmc +1 more source
Combining IC50 or Ki Values from Different Sources Is a Source of Significant Noise. [PDF]
Landrum GA, Riniker S.
europepmc +1 more source
Metformin treatment for patients with hand osteoarthritis: protocol for the multicentre, randomised, placebo-controlled METRO trial. [PDF]
Madsen KS+11 more
europepmc +1 more source
In various writings over the past 20 years, such as [3], Date has pointed out that SQL produces incorrect answers to some queries where a null value is included in a table. In a recent article in the ACM SIGMOD Record, [8], Rubinson states that "Date misinterprets the meaning of his example query" and "SQL returns the correct answer to the query posed".
John Grant
semanticscholar +4 more sources
Handling Null Values in SQL Queries on Relational Databases
The lack of information within relational databases expressed as NULL values presents a problem in ensuring the quality of data and the information retrieved by SQL queries. This is so because there are different interpretations of NULL values. Actually,
Manuel Me’Ndez+2 more
semanticscholar +3 more sources
NULL-Werte und dreiwertige Logik in SQL
In relationalen Datenbanken ist es ublich, das gewisse Felder „NULL“ sein konnen (vgl. [Date86]). Wir sagen hier bewust nicht „den Wert NULL haben“. NULL kann u.a. bedeuten, das der aktuelle Wert eines Attributs unbekannt ist. Andere Arten von Nullen, wie z.B. „nicht anwendbar“ oder „gibt es nicht“ werden hier nicht behandelt, (vgl.
Günter Matthiessen
semanticscholar +4 more sources
Nulls, three-valued logic, and ambiguity in SQL
Date's popular critique of SQL's three-valued logic [4, 3] purports to demonstrate that SQL queries can produce erroneous results when nulls are present in the database. I argue that this critique is flawed in that Date misinterprets the meaning of his example query.
Claude Rubinson
openaire +3 more sources