====PAGE-LEVEL METADATA==== University Daily Kansan Page 0892 from reel: NP 7853 (1998-08-17 to 1999-01-22) https://digital.lib.ku.edu/ku-udk/47336 Title: Burning Midnight Oil Helps Some Bubble With More Productivity Summary: Article explores how late-night studying affects students' productivity and sleep patterns, featuring interviews with students and a psychology professor discussing circadian rhythms and study habits. Category: campus news Subjects: student life; study habits; sleep patterns; academic performance Named Entities: Dohl, Lyle [sophomore]; Holmes, David [professor]; Bartlett, Katie [freshman]; Rowe, Nikole [freshman]; Gilmore, Cassie [freshman] Confidence: 0.9 Title: Not Every Student Hates Early Morning Summary: Article profiles students who appreciate early mornings, discussing their routines, class preferences, and how they make the most of morning hours on campus. Category: campus news Subjects: student life; morning routines; campus activities; class schedules Named Entities: Carter, Melody [correspondent]; Harris, Heather [freshman]; Kauffman, Anne Marie [freshman]; Gilmore, Cassie [freshman]; Seymour, Tyrone [sophomore]; Manning, Pam [custodial worker] Confidence: 0.9 Title: Photo: Students in Hashinger Hall Summary: Photo showing students in Hashinger Hall with caption describing security procedures and resident life. Category: photos/graphics Subjects: student life; residence halls; campus facilities Named Entities: Dohl, Lyle [sophomore]; Bahn, Megan [sophomore]; Jolicoeur, Elena [freshman] Confidence: 0.8 Title: Photo: Brad LaForge Exercising Summary: Photo of Brad LaForge using a pull-up machine at Robinson Center in the morning, illustrating student fitness habits. Category: photos/graphics Subjects: student life; fitness; morning routines Named Entities: LaForge, Brad [first-year law student] Confidence: 0.8 Title: [advertisements] Advertisers include: Premiere Video; Cocoloco Downtown Lawrence; Quick's Bar-B-Q & Catering Co.; Hair Experts Design Team Category: advertisements Confidence: 0.9 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.