OBJECTIVES: In this manuscript, the Robotic Facial Recognition System using the Compound Classifier (RERS-CC) is introduced to improve the recognition rate of human faces. The process is differentiated into classification, detection, and recognition phases that employ principal component analysis based learning. In this learning process, the errors in image processing based on the extracted different features are used for error classification and accuracy improvements.
RESULTS: The performance of the proposed RERS-CC is validated experimentally using the input image dataset in MATLAB tool. The performance results show that the proposed method improves detection and recognition accuracy with fewer errors and processing time.
CONCLUSION: The input image is processed with the knowledge of the features and errors that are observed with different orientations and time instances. With the help of matching dataset and the similarity index verification, the proposed method identifies precise human face with augmented true positives and recognition rate.
OBJECTIVES: This paper discusses activity detection and analysis (ADA) using security robots in workplaces. The application scenario of this method relies on processing image and sensor data for event and activity detection. The events that are detected are classified for its abnormality based on the analysis performed using the sensor and image data operated using a convolution neural network. This method aims to improve the accuracy of detection by mitigating the deviations that are classified in different levels of the convolution process.
RESULTS: The differences are identified based on independent data correlation and information processing. The performance of the proposed method is verified for the three human activities, such as standing, walking, and running, as detected using the images and sensor dataset.
CONCLUSION: The results are compared with the existing method for metrics accuracy, classification time, and recall.
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.
OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.
RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.
CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.
OBJECTIVES: This paper discusses RISAPI of our original work in the field, which shows how probabilistic planning and system theory algorithms in workplace robotic systems that work with people can allow for that reasoning using a security robot system. The problem is a general way as an incomplete knowledge 2-player game.
RESULTS: In this general framework, the various hypotheses and these contribute to thrilling and complex robot behavior through real-time interaction, which transforms actual human subjects into a spectrum of production systems, robots, and care facilities.
CONCLUSION: The models of the internal human situation, in which robots can be designed efficiently, are limited, and achieve optimal computational intractability in large, high-dimensional spaces. To achieve this, versatile, lightweight portrayals of the human inner state and modern algorithms offer great hope for reasoning.
OBJECTIVE: The broad objective of this study was to investigate the direct and indirect effects of behavioral factors on the psychological and physiological health of workers.
METHODS: The latest, second generation technique, which is structural equation modeling, is used to identify the relationships between behavioral antecedents and health outcomes. A total of 277 technical workers participated, aged between 20 and 49 and were healthy in all aspects.
RESULTS: The study results showed quantitative demands, emotional demands, work-family conflict, and job insecurity were significantly associated with both psychological (stress) and physiological (Body Mass Index) factors. The social support of colleagues produced mixed findings with direct and indirect paths. Stress also significantly mediates the psychosocial factors and burnout of the workers.
CONCLUSION: The study concluded that workers were physically available, but they experienced distractions as members of social systems, affecting their physiological and psychological health.
OBJECTIVE: The purpose of this research is to examine the level of EI of Malaysian employees in various sectors affecting their job performance through the mediating influence of psychological capital by using the Schutte Self-Report Emotional Test (SSEIT), 24-item Psychological Capital Questionnaire (PCQ-24) and Role-Based Performance Scale (RBPS) theories.
METHOD: A quantitative study was conducted. 350 sets of questionnaires were given out to Malaysian employees, of which 311 were returned. Data were analysed through regression analysis.
RESULTS: The results showed that all emotional intelligence subscales, except for utilising emotions, have a significant relationship with job performance through the effect of psychological capital.
CONCLUSION: This study offers valuable and insightful implications by combining the SSEIT, PCQ-24, and RBPS models to investigate the effect of emotional intelligence on job performance in Malaysia, which is an unusual combination model to analyse employees' job performance. It helps Malaysian companies, managers, employers, and other related parties to recognise the processes and elements that influence employees' work performance. This research also successfully developed an extended SSEIT model together with PCQ-24 and RBPS and verified their applicability on workplace performance.
METHODS: A cross-sectional online survey was conducted among employees in two multinational banks in Malaysia between April and July 2019. Screening for migraine was conducted using the self-administered ID-Migraine™ questionnaire. Migraine-related disability (MIDAS) and headache frequency were recorded. Impact of migraine on work productivity and activities were evaluated using the Work Productivity and Activity Impairment (WPAI) questionnaire.
RESULTS: Of the 1268 employees who submitted complete responses, 47.2% (n = 598) were screened positive for migraine. Strikingly, the mean percent productivity loss at work (presenteeism) was almost 20-fold higher than the mean percent work time missed due to migraine (absenteeism) (39.1% versus 1.9%). The mean percent productivity loss in regular activity (activity impairment) and overall work productivity loss (work impairment) was 38.4% and 39.9%, respectively. It was also found that the costs related to presenteeism (MYR 5392.6) (US$1296) was 3.5-fold higher than absenteeism (MYR1,548.3) (US$370). Highest monetary loss related to presenteeism was reported in migraineurs with frequency of headache of above 3 days (MYR 25,691.2) (US$6176), whereas highest monetary loss related to absenteeism was reported in migraineurs with MIDAS grade IV (MYR 12,369.1) (US$2973). Only 30% of migraineurs of MIDAS grade IV reported taking prescribed medication. Notably, a vast majority (96%) of migraineurs who had three or lower episodes of migraine per month did not seek treatment.
CONCLUSION: The significant impact of migraine on work productivity and regular activity, appears to lead to substantial monetary loss attributed to not only absenteeism, but more importantly to presenteeism. This study also highlights the unmet needs in migraine management among employees in the banking sector.
OBJECTIVE: To evaluate the psychometrics properties of the Malay version of M-JCQ among nurses in Malaysia.
METHODS: This cross-sectional study was carried out on nurses working in 4 public hospitals in Klang Valley area, Malaysia. M-JCQ was used to assess the perceived psychosocial stressors and physical demands of nurses at their workplaces. Construct validity of the questionnaire was examined using exploratory factor analysis (EFA). Cronbach's α values were used to estimate the reliability (internal consistency) of the M-JCQ.
RESULTS: EFA showed that 34 selected items were loaded in 4 factors. Except for psychological job demand (Cronbach's α 0.51), the remaining 3 α values for 3 subscales (job control, social support, and physical demand) were greater than 0.70, indicating acceptable internal consistency. However, an item was excluded due to poor item-total correlation (r<0.3). The final M-JCQ was consisted of 33 items.
CONCLUSION: The M-JCQ is a reliable and valid instrument to measure psychosocial and physical stressors in the workplace of public hospital nurses in Malaysia.
METHODS: A survey was completed by 657 veterinary students and 244 clinical supervisors from 25 veterinary schools, from which rankings of the preparedness characteristics were derived. Significant rank differences were assessed using confidence intervals and permutation tests.
RESULTS: 'Honesty, integrity and dependability' was the most important characteristic according to both groups. The three characteristics with the largest rank differences were: students' awareness of their own and others' mental wellbeing and the importance of self-care; being willing to try new practical skills with support (students ranked both of these higher); and having a clinical reasoning framework for common problems (supervisors ranked higher).
LIMITATIONS: Using pooled data from many schools means that the results are not necessarily representative of the perspectives at any one institution.
CONCLUSION: There are both similarities and differences in the perspectives of students and supervisors regarding which characteristics are more important for WCT. This provides insights that can be used by educators, curriculum developers and admissions tutors to improve student preparedness for workplace learning.
METHOD: Active case detection was done on cases living quarters and workplaces. Patients were interviewed, and their blood and urine samples were sent for methanol analysis. Samples of suspected alcoholic beverages were also sent for analysis. A suspected case was defined as any person presented with clinical symptoms with a history of consuming alcoholic beverages within five days before symptoms and high anion gap metabolic acidosis. A confirmed case was defined as a suspected case with positive blood and urine methanol.
RESULTS: In total, there were 25 suspected cases, of which 12 cases were confirmed. The calculated attack rate was 48%. There were six mortalities (50%) secondary to severe metabolic acidosis. The most common presenting symptom was vomiting (75%) and abdominal pain (41.7%). These cases were linked to consumption of illicitly produced alcohol. Samples of the alcoholic drinks were positive containing high level of methanol.
CONCLUSION: The methanol outbreak in the Hulu Langat was successfully managed. Appropriate control and prevention measures were taken, including health promotion and joint enforcement activities. Steps were taken successfully through collaborations with multiple agencies and cooperation with Selangor Health Departments and the Ministry of Health. Continuous surveillance on the product of liquor, and health promotion are essential to prevent a similar outbreak from happening again in future.
MATERIALS AND METHODS: This cross-sectional study involved 410 randomly selected respondents among nurses in a government hospital in Penang, Malaysia. Data were gathered through a self-administered questionnaire consisting of a standardised questionnaire regarding WPV.
RESULTS: The prevalence of reported WPV was 43.9%. The most common forms of WPV were verbal abuse (82.2%), followed by psychological violence (8.9%), physical violence (8.3%), and sexual violence (0.6%). The perpetrators were primarily among relatives of patients (51.7%), followed by patients (30%). Multiple logistic regression demonstrated that nurses working in the emergency department (ED) were six times more likely to experience WPV than in other departments (adjusted odds ratio (AOR) 6.139, 95% CI: 1.28 - 4.03). In addition, nurses in the age group of ≤30 years old were twice more likely to experience WPV (AOR 2.275, 95% CI: 3.4-11.08).
CONCLUSION: This study indicates that the prevalence of WPV among nurses is high and most common among young nurses and those working in ED. Hence, hospital management should develop guidelines and comprehensive policies to prevent WPV. In addition, education and training, especially among young nurses and those working in the ED, are needed to increase their knowledge in the management and prevention of WPV and counselling sessions for nurses who have experienced WPV.
MATERIALS AND METHODS: An online self-administered questionnaire was sent out to all postgraduate anaesthesia trainees between August 2020 and January 2021 via email and respondents were recruited on a voluntary basis.
RESULTS: The prevalence of burnout among postgraduate anaesthesia trainees was high (54%). This prevalence was higher among trainees with low a level of physical activity. Half of the trainees (50.8%) engaged in moderate physical activity while only 12% reported a high level of physical activity. The postgraduate study year was found to be a significant factor affecting the practice of physical activity.
CONCLUSION: There is a significant association between physical activity and burnout among postgraduate anaesthesia trainees in Malaysia. Physical activity has the potential to be an essential method of reducing burnout. Hence, measures should be implemented to improve the practice of physical activity among healthcare professionals in order to reduce workplace burnout.
MATERIALS AND METHODS: This study used data from an online cross-sectional survey that was conducted from 24 June to 24 July 2021 in the Fire and Rescue Department of Malaysia. Firefighters were approached using the saturation sampling technique. They received online surveys via email through the Director of State and follow-up reminders through the Assistant Director of State Operations. A total of two filter questionnaires were employed i.e. type and duration of service. Firefighters stating that they were volunteer/auxiliary firefighters or had been in service for 2 years or less were excluded. In this study, data from 6041 out of 8581 firefighters were included for further analysis. The survey utilised the validated staff satisfaction index (SSI) and the happy career (HC) scale for in-service firefighters. SSI was a dual-dimension index consisting of welfare and protection against hazards at work, with 16 subdimensions. The HC is a five multi-dimensional items scale. Then, we used multiple linear regression to obtain the coefficient of determination while adjusting for age groups, gender, marital status, job grade, years of service and region of service.
RESULTS: A total of 6041 eligible data points were analysed in the study. The mean (±SD) age was 38.70 (8.97) years, of which 95.9% were male. The firefighters were in service for a median of 14 years (Q1, Q3: 8, 21). The firefighter reported higher life satisfaction (mean [SD] = 78.30 [9.15]) than happiness at work (mean [SD] = 77.22 [0.20]). The mean happiness scores differed significantly between years of service groups (p<0.001), region of service (p<0.001), marital status (p=0.029) and grade (p<0.001). Firefighters' satisfaction contributed 42.7% of workplace happiness (βadj=1.096 [95% CI: 1.064, 1.128]; p<0.001) after adjusting for frontline, married, the central region of service and male gender as control variables.
CONCLUSION: Firefighter satisfaction had a large effect size on happiness at work (42.7%). However, the interpretation of this effect size should be done with caution because happiness at work is inseparable from other life dimensions such as stability in matrimonial relationships and finances, involvement in leisure and religious activities and being mentally healthy.