Vishnu A Aravind, Valentina L Kouznetsova, Santosh Kesari, Igor F Tsigelny
Using Machine Learning and miRNA for the Diagnosis of Esophageal Cancer
The journal of applied laboratory medicine
study aimed assess change schoolbased food waste training implementing smarter lunchrooms movement slm strategies school food service workers noncontrolled trial implemented random sample 15 elementary middle schools community eligibility program school district northeast united states baseline postintervention food waste measurements collected two different time points school n 9258 total trays measured descriptive statistics independent ttests regression analyses used assess slm strategies impact changes percent food waste mean number strategies schools implemented consistently 740 697 sd range 0 28 consistent strategies independent ttests revealed posttest significant p 0001 percent reduction 70 total student food waste food component fruit 136 vegetable 71 milk 43 overall training session food waste slm strategies schoolbased food service workers reduced school food waste however extent training slm strategies reduce food waste varied basis consistency type strategies implemented