====PAGE-LEVEL METADATA==== University Daily Kansan Page 0172_1 from reel: NP 16433 (2015-01-19 to 2015-07-27) https://digital.lib.ku.edu/ku-udk/115440 Title: America Needs Fairer Maternity Leave Laws Summary: Columnist Gabe Sprague argues for improved maternity leave policies in the United States, comparing US practices to European standards and discussing healthcare access challenges for pregnant women. Category: opinion Subjects: maternity leave; women's rights; workplace equality Named Entities: Sprague, Gabe [columnist] Confidence: 0.9 Title: Society Must Steer Away From Unhealthy Food Culture Summary: Sebastian Schoneich critiques American food culture, discussing the prevalence of processed foods, misleading labeling, and the impact of convenience on dietary choices. Category: opinion Subjects: food culture; nutrition; consumer behavior Named Entities: Schoneich, Sebastian [columnist] Confidence: 0.9 Title: What's the Best Way to Make a Good Impression for Internship Interviews? Summary: Anissa Fritz provides advice on how students can make positive impressions during internship interviews, covering professional appearance, research, and communication strategies. Category: opinion Subjects: career advice; internships; professional development Named Entities: Fritz, Anissa [columnist] Confidence: 0.9 Title: [comic strips] Category: comic strips Confidence: 0.9 Title: Text Your FFA Submissions to (785) 289-8351 or at kansan.com Category: informational content Confidence: 0.9 Title: FFA OF THE DAY: Editor's Note: There Isn't One Because Y'all Keep Stealing Quotes Off Twitter/Tumblr. Category: informational content Confidence: 0.9 Title: WANT TO SUBMIT a QUESTION? Text 785-289-8351 and Use #Askanissa Category: informational content Confidence: 0.9 Title: How to Submit a Letter to the Editor Category: informational content Confidence: 0.9 Title: Contact Us Category: informational content Confidence: 0.9 Title: The Kansan Editorial Board Category: informational content 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.