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This paper aims to investigate the dimensional accuracy and surface roughness of printed masked stereolithography (m-SLA) parts. The fabricated specimens of photosensitive polymer resin have complex shapes and various features. The influence of four process parameters of m-SLA, including layer height, exposure time, light-off delay and print orientation, is studied on response characteristics.

The Box–Behnken design of response surface methodology is used to examine the effect of process parameters on the shrinkage of various geometrical dimensions like diameter, length, width, and height of different features in a complex shape. Additionally, a multi-response optimization has been carried out using the desirability function to minimize the surface roughness and printing time and maximize the dimensional accuracy.

The layer height and print orientation influence the surface roughness of parts. An increase in layer height results in increased surface roughness, and the orientation parallel to the z-axis of the machine gives the highest surface roughness. The dimensional accuracy of m-SLA parts is influenced by layer height, exposure time, and print orientation. Although not significant in dimensional accuracy and surface roughness, the light-off delay can affect printing time apart from other parameters like layer height and print orientation.

The effect of layer height and print orientation on dimensional accuracy, printing time, and surface roughness is investigated by researchers using simple shapes in other vat photopolymerization techniques. The present work is focused on studying the effect of these parameters and additional parameters like light-off delay in complicated geometrical parts in m-SLA.

The characteristics of fluid motions in micro-channel are strong fluid-wall surface interactions, high surface to volume ratio, extremely low Reynolds number laminar flow, surface roughness and wall surface or zeta potential. Due to zeta potential, an electrical double layer (EDL) is formed in the vicinity of the wall surface, namely, the stern layer (layer of immobile ions) and diffuse layer (layer of mobile ions). Hence, its competent designs demand more efficient micro-scale mixing mechanisms. This paper aims to therefore carry out numerical investigations of electro osmotic flow and mixing in a constricted microchannel by modifying the existing immersed boundary method.

The numerical solution of electro-osmotic flow is obtained by linking Navier–Stokes equation with Poisson and Nernst–Planck equation for electric field and transportation of ion, respectively. Fluids with different concentrations enter the microchannel and its mixing along its way is simulated by solving the governing equation specified for the concentration field. Both the electro-osmotic effects and channel constriction constitute a hybrid mixing technique, a combination of passive and active methods. In microchannels, the chief factors affecting the mixing efficiency were studied efficiently from results obtained numerically.

The results indicate that the mixing efficiency is influenced with a change in zeta potential (ζ), number of triangular obstacles, EDL thickness (λ). Mixing efficiency decreases with an increment in external electric field strength (Ex), Peclet number (Pe) and Reynolds number (Re). Mixing efficiency is increased from 28.2 to 50.2% with an increase in the number of triangular obstacles from 1 to 5. As the value of Re and Pe is decreased, the overall percentage increase in the mixing efficiency is 56.4% for the case of a mixing micro-channel constricted with five triangular obstacles. It is also vivid that as the EDL overlaps in the micro-channel, the mixing efficiency is 52.7% for the given zeta potential, Re and Pe values. The findings of this study may be useful in biomedical, biotechnological, drug delivery applications, cooling of microchips and deoxyribonucleic acid hybridization.

The process of mixing in microchannels is widely studied due to its application in various microfluidic devices like micro electromechanical systems and lab-on-a-chip devices. Hence, its competent designs demand more efficient micro-scale mixing mechanisms. The present study carries out numerical investigations by modifying the existing immersed boundary method, on pressure-driven electro osmotic flow and mixing in a constricted microchannel using the varied number of triangular obstacles by using a modified immersed boundary method. In microchannels, the theory of EDL combined with pressure-driven flow elucidates the electro-osmotic flow.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

Earlier, the consumption of products was based mainly on their utilitarian benefits, but at present, the love for nature has driven consumers towards products not harming the environment and society. Therefore, this paper aims to examine the influence of consumers' attitudes towards organic personal care products on brand love, brand trust, altruism and sustainable consumption behaviour. Furthermore, the study further examines the impact of sustainable consumption behaviour on continuous purchase intention using health consciousness as a moderator. Finally, the study validates Behavioural Reasoning Theory and the emotional affinity towards nature to understand the proposed claims.

The data were collected from 364 respondents from India. Only those respondents were included in the survey who had prior experience of using organic personal care products. This study used the structural equation modelling approach to test the conceptual model.

Results of the study confirmed the positive influence of consumer attitude on brand love, brand trust and altruism. Brand love and altruism had a significant impact on sustainable consumption behaviour. Health consciousness also emerged as a moderating variable between sustainable consumption behaviour and continuous intention. Interestingly, the brand trust had no impact on sustainable consumption behaviour. Furthermore, sustainable consumption behaviour had a significant impact on continuous intention.

The study is helpful to organic product companies, practitioners, academicians, environment protection agencies and market regulatory authorities as it gives fresh insight into the new collective relationship of consumer attitude with brand love, brand trust, altruism and sustainable consumption behaviour in case of organic personal care products.

This study aims to provide archival evidence on the impact of board characteristics on corporate social responsibility (CSR) monetary performance and how they interact with the COVID-19 pandemic in the context of CSR monetary performance.

This study analyzes listed companies in Oman’s capital market from 2016 to 2021, using pooled ordinary least squares and unique CSR performance measures such as budgeting and spending.

The study finds that companies with more expertise and frequent meetings are more likely to allocate a larger budget for CSR activities. However, this does not apply to larger boards or to independent directors. During the COVID-19 pandemic, the effect of independent directors on CSR budgeting and spending is more pronounced, and boards with more expertise and meetings show a negative interaction with the pandemic. The interaction of board characteristics with COVID-19 in terms of CSR monetary performance varies depending on company size. Board independence and expertise show a significant reaction to COVID-19 infection and death cases when setting CSR budgeting and spending.

The findings of this study are stimulating, but stem from an emerging country with unique cultural and institutional characteristics. Methodological issues were also encountered during the analysis, so readers should exercise caution when applying the results to other settings.

This study highlights board involvement in deciding a company’s CSR investment, as it was believed that chief executive officers are considered responsible for CSR activities. Additionally, this research underscores the significance of incorporating the financial aspects of CSR into reporting.

This study examines the seldom explored relationship between corporate boards and CSR monetary aspects during regular and irregular times, offering theoretical and practical insights that benefit multiple stakeholders.

Breast cancer is an important medical disorder, which is not a single disease but a cluster more than 200 different serious medical complications.

The new artificial bee colony (ABC) implementation has been applied to probabilistic neural network (PNN) for training and testing purpose to classify the breast cancer data set.

The new ABC algorithm along with PNN has been successfully applied to breast cancers data set for prediction purpose with minimum iteration consuming.

The new implementation of ABC along PNN can be easily applied to times series problems for accurate prediction or classification.

The purpose of this paper is to attempt to assess the seismic vulnerability of the built environment in the Himalayan township of Mussoorie in the state of Uttarakhand (India), paying specific attention to hospitals. Also an attempt is made to assess the magnitude of minimum economic losses, so as to design and undertake measures for reducing human misery in the event of a major disaster.

Seismic vulnerability of the building stock is evaluated using FEMA technique rapid visual screening and the likely earthquake induced damage is depicted as a function of the damage grades of the European Macroseismic Scale (EMS‐98). In total, 3,344 buildings, including 14 hospitals, are surveyed. In the field the structures are mapped using IKONOS satellite imagery while the collected data are analysed under geographic information system environment.

It was found that 18 percent of surveyed structures fall in high probability of Grade 5 damage and very high probability of Grade 4 damage class. This is estimated to result in economic loss of US$52.47 million. Almost, 80 percent of the hospitals of Mussoorie are thus likely to be non‐functional in the post‐earthquake phase due to varying degrees of structural and non‐structural damage.

The study does not account for the cost of demolition or ground clearance cost for reconstruction, or losses likely to be incurred by public infrastructure. Thus, it is implied that retrofitting and replacement of vulnerable healthcare infrastructure should be facilitated on a priority basis along with development of suitable plans for mitigating losses in an earthquake event.

The study brings forth the importance of corrective actions (retrofitting/replacement) and detailed vulnerability assessment of all lifeline structures on priority basis.

The results are intended to reduce seismic vulnerability and human toll in the event of any earthquake in the area.

The work is based upon the original data generated by the authors through rigorous fieldwork in the area and the results are totally based on these.

This qualitative research examines the varied reasons for relocation to old age homes (OAHs) in contemporary India. The purpose of this study investigates the acceptance of institutional living in Lucknow (a Tier II city of India) and whether migration to OAHs is a voluntary decision. This study also examines the lifeworld of the older adult in these OAHs in an attempt to find out whether OAHs are conducive to positive ageing. Derivatively, the authors study their engagement/time use pattern and social networking patterns in the OAHs. Finally, the research seeks to learn whether OAHs are slowly substituting older adult care given within the family by offering the best of the facilities and services.

This qualitative research was conducted in two private OAHs in Lucknow, India. The findings of the study are based on 28 qualitative interviews conducted with the inmates, administrative staff and caretakers. The interviews were unstructured and open-ended and were supported by observations. The observation was not only made of the social setting but also the reaction of the participants. The idea was to develop an emic view of the subject by exploring valid narratives. Pseudonyms were used to report the finding so as to maintain the confidentiality of the research subjects.

This research moves beyond the traditional wisdom that people move to OAH because of the push factors within the family. OAHs in India have evolved over the years and high-end OAHs are equipped with modern amenities to cater to the upper class in their twilight years. Residents were found to lead active lives in OAHs and their common habitus and bonding capital helped them to face the vagaries of old age more confidently. Their active life and membership in various civic organizations challenge the contention of the role theory that the aged are more prone to lose rather than gain roles.

The originality of the research lies in the fact that the authors are extending the arguments made by the role theory of social ageing. The theory proposes that aged people are more likely to lose out roles rather than gain new ones. This study finds that the elderly tend to live a very active life in OAHs and engaged various civic organizations. Although they may lose/voluntarily give up the roles like the head of the household, spouse, etc., they acquire new roles in the context of OAHs.

This paper aims to review the recent advances in processing and utilization of Madhuca longifolia flowers to address its potential as an industrial ingredient.

The paper analyzes the harvesting practices of flowers and recent works on the value addition.

Mahua flowers are rich source of natural sugars (glucose, fructose, sucrose, etc.) and hence are deliberately used for liquor production by tribal besides various food products, namely, Mahua ladoo, barfi, kheer, sweet puri and as grain staple. Mahuain medicine has been curing people since ages such as in rakhtpitta, diarrhoea and skin diseases and as aphrodisiac, galactagogue, carminative, antihelmenthic, antibacterial and antioxidant. Mahua candy, cake, ready to serve beverages, toffee, squash, ladoo, bars, etc. have been developed as value-added products. However, such a wonderful nature’s gift remains underused due to post harvest spoilage.

Improvement in storage facilities and processing of flowers after harvesting and drying will lead to enhanced availability of flowers for industrial purposes for food, feed and fodder. More value-added products can be prepared by the preparation of flower-juice concentrate, as well as efforts are made to produce powder from the flowers.

Post-harvest spoilage of Mahua flowers due to improper collection and handling practices, and filthy storage conditions is the major limitation of Mahua flowers to be used as a potential industrial ingredient. An improvement in collection, handling and pre-processing practices can diversify its use from liquor production to various value-added and functional food products at an industrial scale.

Organizations have varied levels of success with Lean implementation and many did not see tangible results. Some scholars believe the reason has to do with weak Lean culture or Lean values (LVs). The purpose of this paper is to study the relationship between Lean implementation practices and LVs. The research goes further to study the nature of this relationship; does LVs affect Lean practices only or do they affect each other in a reciprocal manner?

Literature regarding Lean implementation in various sectors was reviewed. Representatives from several organizations were surveyed. Results from both approaches are compared and presented to highlight the key challenges and drivers facing Lean implementation.

Lean works well on enhancing organization performance (OP) but the implementation has to be preceded by careful nourishment of the proper Lean culture and LVs. The relationship between Lean implementation and LVs is of a complex nature and driven by OP.

The study has important managerial implications that is if Lean is going to be sustained, continuous efforts has to be exerted by Lean professionals to engage leaders and decision makers in the organization and ensure proper values are nurtured.

This is the first study to examine the reciprocal relationship between Lean implementation practices and LVs while focusing on OP by employing a structural statistical model.