Arvind Mahindru, Himani Arora, Abhinav Kumar, Sachin Kumar Gupta, Shubham Mahajan, Seifedine Kadry, Jungeun Kim
PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection
Scientific reports
retrospective study utilized national electronic injury surveillance system neiss database identify pediatric emergency department ed patients playgroundassociated craniofacial injuries january 2012 december 2021 total 25 414 patients identified majority injuries occurred preschool elementary schoolage children 903 patients commonly boys 593 injuries often involved headscalp 524 face 304 mouth 119 infant 327 teen 400 injuries commonly involved swings whereas preschool 231 elementary school 281 injuries mostly associated slides climbers respectively patients treated ed discharged home 965 small portion required hospitalization 16 one death reported although majority injuries relatively minor resulted sameday discharges injuries result serious physical harm emotional stress unexpected financial burdens proper education supervision regarding safe play important prevent injuries