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2. Former Snap design engineer on new glasses: 'Obviously bad'

   www.aol.com/finance/former-snap-design-engineer...

   September 20, 2024 at 11:14 AM. One of Snap’s (SNAP) own former employees thinks its augmented reality glasses are "bad." Sterling Crispin, an engineer who worked on designing the glasses in the ...

3. Diana Taurasi's potential last regular-season game had ... - AOL

   www.aol.com/sports/diana-taurasis-potential-last...

   The crowd interrupted Taurasi when she first said "If it is the last time." Taurasi responded with her trademark dry humor and a dig at former UConn teammate Sue Bird, who retired two years ago ...

4. This Creamy Peanut-Lime Chicken With Noodles Will Shake Up ...

   www.aol.com/creamy-peanut-lime-chicken-noodles...

   Bring a medium pot of water to a boil; generously season with salt. Add noodles and stir to prevent sticking. Remove from heat and let soak until tender, 13 to 15 minutes. Drain in a colander and ...

5. List of ISO 639 language codes - Wikipedia

   en.wikipedia.org/wiki/List_of_ISO_639_language_codes

   List of ISO 639 language codes. ISO 639 is a standardized nomenclature used to classify languages. [1] Each language is assigned a two-letter (set 1) and three-letter lowercase abbreviation (sets 2–5). [2] Part 1 of the standard, ISO 639-1 defines the two-letter codes, and Part 3 (2007), ISO 639-3, defines the three-letter codes, aiming to ...

6. Christianity - Wikipedia

   en.wikipedia.org/wiki/Christianity

   — John 3:16, NIV The Law and the Gospel by Lucas Cranach the Elder (1529); Moses and Elijah point the sinner to Jesus for salvation. Paul the Apostle, like Jews and Roman pagans of his time, believed that sacrifice can bring about new kinship ties, purity, and eternal life. For Paul, the necessary sacrifice was the death of Jesus: Gentiles who are "Christ's" are, like Israel, descendants of ...

7. Pearson correlation coefficient - Wikipedia

   en.wikipedia.org/wiki/Pearson_correlation...

   Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.