Prabhugouda Mallanagouda Patil, Bharath Goudar and Ebrahim Momoniat
Many industries use non-Newtonian ternary hybrid nanofluids (THNF) because of how well they control rheological and heat transport. This being the case, this paper aims to…
Abstract
Purpose
Many industries use non-Newtonian ternary hybrid nanofluids (THNF) because of how well they control rheological and heat transport. This being the case, this paper aims to numerically study the Casson-Williamson THNF flow over a yawed cylinder, considering the effects of several slips and an inclined magnetic field. The THNF comprises Al2O3-TiO2-SiO2 nanoparticles because they improve heat transmission due to large thermal conductivity.
Design/methodology/approach
Applying suitable nonsimilarity variables transforms the coupled highly dimensional nonlinear partial differential equations (PDEs) into a system of nondimensional PDEs. To accomplish the goal of achieving the solution, an implicit finite difference approach is used in conjunction with Quasilinearization. With the assistance of a script written in MATLAB, the numerical results and the graphical representation of those solutions were ascertained.
Findings
As the Casson parameter
Originality/value
There is no existing research on the effects of Casson-Williamson THNF flow over a yawed cylinder with multiple slips and an angled magnetic field, according to the literature.
Details
Keywords
Sharmin Majumder, Zannatul Najnin, Shamim Ahmed and Shafi Ullah Bhuiyan
Neonatal mortality rate is 24 deaths per 1,000 live births in Bangladesh and most of them die during early neonatal period. The purpose of this paper is to assess the knowledge…
Abstract
Purpose
Neonatal mortality rate is 24 deaths per 1,000 live births in Bangladesh and most of them die during early neonatal period. The purpose of this paper is to assess the knowledge and attitude of neonatal care practices among postnatal mothers in a tertiary care hospital in order to provide a basis for the development of strategies to improve further.
Design/methodology/approach
A cross-sectional study was carried out in the Dhaka Medical College Hospital, Bangladesh using a convenient sampling technique. In total 211 postnatal mothers were interviewed using a structured questionnaire and χ2 test was used to analyze the data.
Findings
Among mothers, 37.9 percent were aged between 16–20 years; 16.1 percent had no institutional education; 55 percent were primipara and only 26.5 percent had attended antenatal visit for more than four times. Mothers had apparently good knowledge and attitude about thermoregulation, early initiation of breast-feeding, importance of providing colostrum to the newborn, exclusive breast-feeding (EBF) up to six months of age and immunization at birth. However, this study identified knowledge gap about cord care, eye care, first bathing and hygiene practices. Overall, only a small proportion of respondents had good level of knowledge (37 percent) and attitude (47.4 percent) on newborn care. Highly significant statistical association was found between the knowledge, attitude level and socio-demographic characteristics of respondents. Knowledge and attitude were strongly associated as well.
Research limitations/implications
There is scope for improvement by providing health education to antenatal and postnatal mothers. Therefore, implementation of the guidelines outlined in the Maternal and Child Handbook (MCH) is highly recommended.
Originality/value
There is scope for improvement by providing health education to antenatal and postnatal mothers. Therefore, implementation of the guidelines outlined in the MCH is highly recommended to enhance the knowledge and attitude on newborn care among postnatal mothers.
Details
Keywords
Alexander P. Henkel, Martina Čaić, Marah Blaurock and Mehmet Okan
Besides the direct physical health consequences, through social isolation COVID-19 affects a considerably larger share of consumers with deleterious effects for their…
Abstract
Purpose
Besides the direct physical health consequences, through social isolation COVID-19 affects a considerably larger share of consumers with deleterious effects for their psychological well-being. Two vulnerable consumer groups are particularly affected: older adults and children. The purpose of the underlying paper is to take a transformative research perspective on how social robots can be deployed for advancing the well-being of these vulnerable consumers and to spur robotic transformative service research (RTSR).
Design/methodology/approach
This paper follows a conceptual approach that integrates findings from various domains: service research, social robotics, social psychology and medicine.
Findings
Two key findings advanced in this paper are (1) a typology of robotic transformative service (i.e. entertainer, social enabler, mentor and friend) as a function of consumers' state of social isolation, well-being focus and robot capabilities and (2) a future research agenda for RTSR.
Practical implications
This paper guides service consumers and providers and robot developers in identifying and developing the most appropriate social robot type for advancing the well-being of vulnerable consumers in social isolation.
Originality/value
This study is the first to integrate social robotics and transformative service research by developing a typology of social robots as a guiding framework for assessing the status quo of transformative robotic service on the basis of which it advances a future research agenda for RTSR. It further complements the underdeveloped body of service research with a focus on eudaimonic consumer well-being.
Details
Keywords
This study aims to demonstrate the importance of recognizing stress in the workplace. Accurate novel objective methods that use electroencephalogram (EEG) to measure brainwaves…
Abstract
Purpose
This study aims to demonstrate the importance of recognizing stress in the workplace. Accurate novel objective methods that use electroencephalogram (EEG) to measure brainwaves can promote employee well-being. However, using these devices can be positive and potentially harmful as manipulative practices undermine autonomy.
Design/methodology/approach
Emphasis is placed on business ethics as it relates to the ethics of action in terms of positive and negative responsibility, autonomous decision-making and self-determined work through a literature review. The concept of relational autonomy provides an orientation toward heteronomous employment relationships.
Findings
First, using digital devices to recognize stress and promote health can be a positive outcome, expanding the definition of digital well-being as opposed to dependency, non-use or reduction. Second, the transfer of socio-relational autonomy, according to Oshana, enables criteria for self-determined work in heteronomous employment relationships. Finally, the deployment and use of such EEG-based devices for stress detection can lead to coercion and manipulation, not only in interpersonal relationships, but also directly and more subtly through the technology itself, interfering with self-determined work.
Originality/value
Stress at work and EEG-based devices measuring stress have been discussed in numerous articles. This paper is one of the first to explore ethical considerations using these brain–computer interfaces from an employee perspective.
Details
Keywords
Douglas Aghimien, Matthew Ikuabe, Lerato Millicent Aghimien, Clinton Aigbavboa, Ntebo Ngcobo and Jonas Yankah
The importance of robotics and automation (R&A) in delivering a safe built environment cannot be overemphasised. This is because R&A systems can execute a hazardous job function…
Abstract
Purpose
The importance of robotics and automation (R&A) in delivering a safe built environment cannot be overemphasised. This is because R&A systems can execute a hazardous job function that the construction workforce may not execute. Based on this knowledge, this study aims to present the result of an assessment of the impediments to the deployment of R&A for a safe and healthy construction environment.
Design/methodology/approach
This study adopted a post-positivist philosophical stance, using a quantitative research approach and a questionnaire administered to construction professionals in South Africa. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H-test, exploratory factor analysis and partial least square structural equation modelling (SEM).
Findings
This study revealed that the impediments to the deployment of R&A could be grouped into: industry, technology, human and cost-related factors. However, SEM assessment showed that only the industry, human and cost-related factors would significantly impact attaining specific health and safety-related outcomes.
Practical implications
The findings offer valuable benefits to construction organisations as the careful understanding of the identified impeding factors can help lead to better deployment of R&A and the attainment of its inherent safety benefits.
Originality/value
This study attempts to fill the gap in the shortage of literature exploring the deployment of R&A for a safe construction environment, particularly in developing countries like South Africa, where such studies are non-existent. This paper, therefore, offers a theoretical backdrop for future works on R&A deployment, particularly in developing countries where such a study has not been explored.
Details
Keywords
Zijun Jiang, Zhigang Xu, Yunchao Li, Haigen Min and Jingmei Zhou
Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road…
Abstract
Purpose
Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.
Design/methodology/approach
This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.
Findings
Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.
Originality/value
The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.
Details
Keywords
Muhammad Iftikhar Ul Husnain, Arjunan Subramanian and Azad Haider
The empirical literature on climate change and agriculture does not adequately address the issue of potential endogeneity between climatic variables and agriculture, which makes…
Abstract
Purpose
The empirical literature on climate change and agriculture does not adequately address the issue of potential endogeneity between climatic variables and agriculture, which makes their estimates unreliable. This paper aims to investigate the relationships between climate change and agriculture and test the potential reverse causality and endogeneity of climatic variables to agriculture.
Design/methodology/approach
This study introduces a geographical instrument, longitude and latitude, for temperature to assess the impact of climate change on agriculture by estimating regression using IV-two-stage least squares method over annual panel data for 60 countries for the period of 1999-2011. The identification and F-statistic tests are used to choose and exclude the instrument. The inclusion of some control variables is supposed to reduce the omitted variable bias.
Findings
The study finds a negative relationship between temperature and agriculture. Surprisingly, the magnitude of the coefficient on temperature is mild, at least 20 per cent, as compared to previous studies, which may be because of the use of the instrumental variable (IV), which is also supported by an alternative robust measure when estimated across different regions.
Practical implications
The study provides strong implications for policymakers to confront climate change, which is an impending danger to agriculture. In designing effective policies and strategies, policymakers should focus not only on crop production but also on other agricultural activities such as livestock production and fisheries, in addition to national and international socio-economic and geopolitical dynamics.
Originality/value
This paper contributes to the growing literature in at least four aspects. First, empirical settings introduce an innovative geographical instrument, Second, it includes a wider set of control variables in the analysis. Third, it extends previous studies by involving agriculture value addition. Finally, the effects of temperature and precipitation on a single aggregate measure, agriculture value addition, are separately investigated.