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Nuala Considine (10 October 1927 – 24 July 2018) was an Irish woman considered to be the world's most prolific crossword compiler. [1] She produced crossword puzzles for newspapers and magazines across Europe and the United States, including The Irish Times, The Telegraph, The Spectator, The Financial Times, Woman's Realm, The Washington Post and New Scientist. [2]
Cryptic crossword clues consist typically of a definition and some type of word play. Cryptic crossword clues need to be viewed two ways. One is a surface reading and one a hidden meaning. [28] The surface reading is the basic reading of the clue to look for key words and how those words are constructed in the clue. The second way is the hidden ...
As Crozier was the sole cryptic compiler for 68 years, [4] the crossword itself became known as "the Crosaire" by metonymy. The pseudonym "Crosaire" is a play on his own surname and crosaire, the Irish for "crossroad". [5] [6] [fn 1] After Crozier's death, The Irish Times formally renamed its cryptic crossword in his honour.
In today's puzzle, there are nine theme words to find (including the spangram). Hint: The first one can be found in the top-half of the board. Here are the first two letters for each word: MI. CE ...
The Irish are often stereotyped as being devoutly religious and conservative. Christianity has been the largest religion in Ireland since the 5th century. As of 2011 [update] , 78% of Ireland's population adhered to the Catholic Church , [ 12 ] and both Irish people and people with red hair are stereotyped as being Catholic. [ 7 ]
It should only contain pages that are Facial features or lists of Facial features, as well as subcategories containing those things (themselves set categories). Topics about Facial features in general should be placed in relevant topic categories .
According to the study, while most of facial images' predictive power is attributable to basic demographics (age, gender, race) extracted from the face, image artifacts, observable facial characteristics, and other image features extracted by deep learning all contribute to prediction quality beyond demographics.
Passengers can avoid verifying through facial recognition by showing up at the airport at least two hours before departure or submitting a form and picture of their passport or national ID card in ...