Some films are built so you can track new layers on a second pass. They hide information in edits, props, and offhand lines that only make full sense once you know where the story lands. A rewatch ...

Abstract: Discovering frequent itemsets is a key problem in important data mining applications, such as the discovery of association rules, strong rules, episodes, and minimal keys. Typical algorithms ...

There is a specific, high-frequency pitch to the scream a monopoly makes when it realizes the fence around its playground has been knocked down. We’re hearing it now, echoing from the C-suites of ...

Looking ahead: Home robots are no longer limited to tightly scripted routines or one-off public demonstrations as they progress from prototype to pilot programs. With one company's robot approaching ...

Recent breakthroughs in CRISPR/Cas genome editing have transformed molecular biology research and offer significant potential across biotechnology and medicine. This has created a broad spectrum of ...

No one paid much attention when an obscure biology journal published an article in 2017 about ‘the evolutionary processes which led to a crab-like habitus’. In this review of crustacean taxonomy, ...

Turns out the plot of Christopher Nolan’s new movie is also a mystery to people who have seen it. Photo: Melinda Sue Gordon/Warner Bros. This article was originally published on September 4, 2020.

Abstract: Generally frequent itemsets are extracted from large databases by applying association rule mining (ARM) algorithms like Apriori, Partition, Pincer-Search, Incremental, and Border algorithm ...

SEOUL, SOUTH KOREA - 2020/08/26: A woman wearing a protective mask walks by a billboard of the movie 'TENET'. 'TENET' directed by Christopher Nolan is released on 26 August in South Korea for the ...

Ketohydroperoxides are important in liquid-phase autoxidation and in gas-phase partial oxidation and pre-ignition chemistry, but because of their low concentration, instability, and various analytical ...