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: Sources for this publication were identified through searches of PubMed for articles published between 31st December 2019 and 4th June 2020, using combinations of search terms. Guidelines and updates from reputable agencies were also consulted. Only articles published in the English language were included.
Results: The volume of literature on COVID-19 continues to expand, with 17,845 articles indexed on PubMed by 4th June 2020, 130 of which were deemed particularly relevant to the subject matter of this review. Older patients are more likely to progress to severe COVID-19 disease requiring intensive care unit (ICU) admission. Patients with pre-existing cardiovascular disease, especially hypertension and coronary heart disease, are at greatly increased risk of developing severe and fatal COVID-19 disease. A controversial aspect of the management of COVID-19 disease has been the use of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers. Obese COVID-19 patients are more likely to require complex ICU management. Putative mechanisms of increased COVID-19 disease severity in diabetes include hyperglycaemia, altered immune function, sub-optimal glycaemic control during hospitalisation, a pro-thrombotic and pro-inflammatory state. Patients with mental health disorders are particularly vulnerable to social isolation, and this has been compounded by the suspension of non-emergency care in hospitals around the world, making it difficult for patients with chronic mental illness to attend outpatient appointments.
Conclusions: The global pandemic of COVID-19 disease has had a disproportionately negative impact on patients living with chronic medical illness. Future research should be directed at efforts to protect vulnerable patients from possible further waves of COVID-19 and minimising the negative impact of pandemic mitigation strategies on these individuals.
DESIGN: Cross-sectional study.
SETTING: Three public primary care clinics in a district in Selangor, Malaysia.
PARTICIPANTS: Registered patients aged 55 years and above.
MEASUREMENTS: A face-to-face interview was conducted using a validated questionnaire of Medical Outcome Study 36-item short form health survey (SF-36). The outcome measure was the health related quality of life (HRQoL) and other factors measured were socio demography, physical activity, social support (Duke-UNC Functional Social Support Questionnaire), and presence of non-communicable diseases.
RESULTS: A total of 347 participants had non-communicable diseases which included hypertension (41.8%), type 2 diabetes (33.7%), asthma (4.8%), hyperlipidaemia (1.7%), coronary heart disease (1.2%), and osteoarthritis (0.2%). Age ≥ 65 years old (OR =2.23; 95%CI=1.42, 3.50), single (OR=1.75; 95%CI=1.06,2.90), presence of co-morbid condition (OR=1.66; 95%CI=1.06, 2.61), and poorer social support (OR=2.11; 95%CI=1.27, 3.51; p=0.002) were significant predictors of poorer physical component of HRQoL . In predicting lower mental health component of HRQoL, the significant predictors were women (OR=2.28; 95%CI=1.44, 3.62), Indian ethnicity (OR=1.86; 95%CI=1.08, 3.21) and poorer social support (OR=2.71; 95%CI=1.63, 4.51). No interactions existed between these predictors.
CONCLUSION: Older people with non-communicable diseases were susceptible to lower health related quality of life. Increasing age, single, presence of co-morbid conditions, and poorer social support were predictors of lower physical health component of HRQoL. While the older women, Indian ethnicity and poorer social support reported lower mental health component of HRQoL.