OBJECTIVE: In this paper, Non-linear Adaptive Heuristic Mathematical Model (NAHMM) has been proposed for the prevention of workplace violence using security Human-Robot Collaboration (HRC). Human-Robot Collaboration (HRC) is an area of research with a wide range of up-demands, future scenarios, and potential economic influence. HRC is an interdisciplinary field of research that encompasses cognitive sciences, classical robotics, and psychology.
RESULTS: The robot can thus make the optimal decision between actions that expose its capabilities to the human being and take the best steps given the knowledge that is currently available to the human being. Further, the ideal policy can be measured carefully under certain observability assumptions.
CONCLUSION: The system is shown on a collaborative robot and is compared to a state of the art security system. The device is experimentally demonstrated. The new system is being evaluated qualitatively and quantitatively.
Methods: A cross-sectional study was performed from January to April 2020 among students at Jahangirnagar University (JU), Bangladesh. Purposive sampling was conducted through an in-person interview using a structured questionnaire. Students from the faculties of biological sciences and non-biology background were included. The univariate ordinal regression technique was used to analyze the relationship between predictors and good knowledge about the antibiotics. A two-tailed p-value was calculated to determine statistical association.
Results: Out of 205 study participants, 92 and 113 responders were from biological science faculty and non-biology disciplines, respectively. Less than half of the students (42.4%) showed a good knowledge level (scores higher than 80%). Biology-background students possess better knowledge than non-biology students [odds ratio (OR) = 4.44, 95% confidence level (CL) (2.56, 7.70), p < 0.001]. A better attitude was noticed among all students. The self-medication rate was quite low, and more than 90% of students were found to consume antibiotics according to the physician's prescription. Lack of treatment adherence was recorded, and students admitted to stop-taking antibiotics when symptoms disappeared (48.67% biology and 36.26% non-biology). Multivariate regression analysis was unable to detect any significant association between self-medication and gender, student category or the level of knowledge about antibiotics.
Conclusion: Students of biological science background possessed better knowledge indicating the importance of appropriate curriculum imparted in knowledge buildup. Introducing a short course about the risk and development of antibiotic resistance will grow the students' awareness to avoid the resistance phenomenon.