====PAGE-LEVEL METADATA==== University Daily Kansan Page 1068 from reel: NP 9601 (2001-08-20 to 2001-12-13) https://digital.lib.ku.edu/ku-udk/30773 Title: Wake-Up Time for Kansas Summary: Kansas basketball team prepares for rematch against Wake Forest after previous loss, with coach Roy Williams discussing strategy and player performances. Category: sports Subjects: college basketball; university sports; athletics Named Entities: Williams, Roy [basketball coach]; Collison, Nick [basketball player]; Songaila, Darius [basketball player] Confidence: 0.9 Title: Wake Forest Ready for Challenge Summary: Wake Forest basketball team and coach Skip Prosser prepare for game against Kansas, with analysis of team strengths and matchup considerations. Category: sports Subjects: college basketball; university sports; athletics Named Entities: Prosser, Skip [basketball coach]; Songaila, Darius [basketball player] Confidence: 0.85 Title: Kansas Crew Rows Off Water During Winter Summary: University of Kansas Crew team continues training during winter months, with details about their routine, recent competition results, and team members. Category: sports Subjects: crew rowing; university sports; athletics Named Entities: O'Rourke, Kevin [crew coach]; Fansler, Brian [crew member] Confidence: 0.8 Title: Sweet Revenge a Possibility for Jayhawks Summary: Analysis of Kansas basketball team's potential for revenge against Wake Forest, discussing their previous loss and factors that could lead to victory in upcoming rematch. Category: sports Subjects: college basketball; university sports; athletics Named Entities: Williams, Roy [basketball coach]; Collison, Nick [basketball player]; Songaila, Darius [basketball player] Confidence: 0.85 Title: Commentary Summary: Sports columnist Brian Hanni provides analysis and perspective on the upcoming Kansas-Wake Forest basketball matchup and the Jayhawks' chances for revenge. Category: sports Subjects: sports analysis; college athletics; basketball Named Entities: Hanni, Brian [sports columnist] Confidence: 0.8 Note: Descriptive metadata for this item has been generated in part using AI (artificial intelligence) technologies and may be incomplete, misleading, or inaccurate. Please contact the Kenneth Spencer Research Library with specific questions or concerns.