In this paper, data of almost 8 million loans of books recorded for 15 years by the Korea University Library are analyzed by using big data analytic techniques.During this period, book circulation decreased with an average annual rate of decline of 4.4%.The use factor of books in each Dewey decimal classification Shorts (DDC) class was evaluated to
When analyzed by standard statistical methods, the time series of the daily return of financial indices appear to behave as Markov random series with no apparent temporal order or memory.This empirical result seems to be counter intuitive since investor are influenced by both short and long term past market behaviors.Consequently much effort has be
ObjectivesLipid accumulation product (LAP) is a simple and effective indicator that reflects visceral obesity.This study aimed to compare the significance of LAP in predicting hypertension risk with other obesity indices, and to evaluate the interactive effects of LAP and smoking, family history of hypertension on hypertension risk in Chinese Han a
Machine learning (ML) methods such as artificial neural networks are rapidly becoming ubiquitous in modern science, technology, and industry.Despite their accuracy and sophistication, neural networks can be easily fooled by carefully designed malicious inputs known as adversarial attacks.While such vulnerabilities remain THE LOYAL SUBJECTS a seriou
We investigated potential advantages in birth timing for mountain lion (Puma concolor) cubs.We examined cub body mass, survival, and age of natal dispersal in relation to specific timing of birth.We also investigated the role of maternal age relative to timing of births.We captured Impact Drill mountain lion cubs while in the natal den to determine