Tenet

Known for his vibrant, often playful orchestral music for film and television, Ludwig Göransson is an Oscar-winning Swedish composer based in Los Angeles. Also recognized for his Grammy-winning work as a producer and songwriter in genres including rap, pop, and R&B, he often performs and records his own music unless an orchestra is warranted. Some of his earliest lead composer credits came on television sitcoms such as Community (2009-2015) and New Girl (2011-2018). Early in Community's run, he also began collaborating with cast member Donald Glover on his rap music as Childish Gambino. Göransson was recognized by several film critics associations for his music for the 2015 boxing film Creed, and in 2019, he won the Academy Award for Best Original Score for Black Panther (2018). That same year, he took home Grammy Awards for Record and Song of the Year for Childish Gambino's "This Is America" as well as for his Black Panter score.

David Philip Hefti (born 1975 in St. Gallen) is a Swiss composer and conductor.

Mastering the Art of Persuasion: Elevate Your Sales Skills and Catapult Your Career to New Heights"

Little attention has been given on record so far to the music and writings emanating from the flourishing economic and cultural environs of 13th-century Brabant but it is from the remarkable outpouring associated with this medieval duchy – covering the areas of Brussels, Antwerp and the present day Belgian provinces of Vlaams and Walloon Brabant as well as Noord-Brabant in The Netherlands – that Björn Schmelzer and Graindelavoix have created their third recording for Glossa.

This book presents the fundamentals of irreversible thermodynamics for nonlinear transport processes in gases and liquids, as well as for generalized hydrodynamics extending the classical hydrodynamics of Navier, Stokes, Fourier, and Fick.

This book takes the reader beyond net effects and main and interaction effects thinking and methods. Complexity theory includes the tenet that recipes are more important than ingredients—any one antecedent (X) condition is insufficient for a consistent outcome (Y) (e.g., success or failure) even though the presence of certain antecedents may be necessary. A second tenet: modeling contrarian cases is useful because a high or low score for any given antecedent condition (X) associates with a high Y, low Y, and is irrelevant for high/low Y in some recipes in the same data set. Third tenet: equifinality happens—several recipes indicate high/low outcomes.