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This study aims to assess the effect of water variation on bioethanol production from cassava peels (CP) using Saccharomyces cerevisiae yeast as the ethanologenic agent.

The milled CP was divided into three treatment groups in a small-scale flask experiment where each 20 g CP was subjected to two-stage hydrolysis. Different amount of water was added to the fermentation process of CP. The fermented samples were collected every 24 h for various analyses.

The results of the fermentation revealed that the highest ethanol productivity and fermentation efficiency was obtained at 17.38 ± 0.30% and 0.139 ± 0.003 gL⁻¹ h⁻¹. The study affirmed that ethanol production was increased for the addition of water up to 35% for the CP hydrolysate process.

The finding of this study demonstrates that S. cerevisiae is the key player in industrial ethanol production among a variety of yeasts that produce ethanol through sugar fermentation. In order to design truly sustainable processes, it should be expanded to include a thorough analysis and the gradual scaling-up of this process to an industrial level.

This paper is an original research work dealing with bioethanol production from CP using S. cerevisiae microbe.

1. Hydrolysis of cassava peels using 13.1 M H₂SO₄ at 100 ^oC for 110 min gave high Glucose productivity

2. Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae

3. Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation

4. Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L⁻¹.h⁻¹

Hydrolysis of cassava peels using 13.1 M H₂SO₄ at 100 ^oC for 110 min gave high Glucose productivity

Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae

Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation

Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L⁻¹.h⁻¹

The use of information and communication technologies has become widespread in the field of health as well as in all fields. While the intensive use of these technologies increases the productivity of the employees, on the other hand, it may cause negative effects on the employee such as stress, anxiety, anger, burnout, and addiction. In scientific studies, the use of technology is commonly related with saving time, labor, financial resources, effective, efficient, and quality service; however, there are limited studies focusing on the technostress factors in the health field brought by technological transfer and digital transition. These technostress factors are techno-overload, techno-invasion, techno-confusion, techno-insecurity, and techno-uncertainty. In this study, it is emphasized that technostress causes important mental problems such as productivity and burnout, especially for female health employees. This chapter aims to discuss the role of technostress and its factor, theoretically, in the healthcare field in perspective of digital transition.

This study intends to conceptually and technically examine the literature on work integrated learning (WIL) through a systematic literature review and bibliometric analysis. The present study addresses eight distinct research questions: (1) descriptive features of the extracted literature on WIL, (2) publications trends and thematic evolution in the field of WIL, (3) the most relevant and high-impact sources on WIL, (4) the most global cited articles on WIL, (5) the most relevant and high-impact authors on WIL, (6) the most relevant countries on WIL, (7) outcomes of Bradford’s Law of Scattering and Lotka’s Law of Scientific Productivity and (8) trending research avenues for future studies in the field of WIL.

The present study employed systematic literature review (SLR) and bibliometric analysis mapping techniques to analyze 1,295 articles extracted from the Scopus database. The analysis utilized Biblioshiny software and VOSviewer software as the primary tools.

The findings reveal that WIL constitutes a steadily expanding subject discipline, showcasing a notable 23.28% annual growth in scientific production spanning from 2002 to 2023 (July). Australia, South Africa and Canada emerged as the most productive countries within the field of WIL, as evidenced by their cumulative scientific production. The thematic map of keyword analysis suggests several burgeoning avenues for future researchers in the WIL domain, including education, reflective practices, curriculum, employability skills, international students, learning and self-efficacy.

This study contributes to the WIL discourse by providing a comprehensive literature review. The present study’s findings hold significance for graduates, universities, employers, the higher education industry, policymakers, regulators and the broader community.

Increasing personnel costs and labour shortages have pushed retailers to give increasing attention to their intralogistics operations. We study hybrid order picking systems, in which humans and robots share work time, workspace and objectives and are in permanent contact. This necessitates a collaboration of humans and their mechanical coworkers (cobots).

Through a longitudinal case study on individual-level technology adaption, we accompanied a pilot testing of an industrial truck that automatically follows order pickers in their travel direction. Grounded on empirical field research and a unique large-scale data set comprising N = 2,086,260 storage location visits, where N = 57,239 storage location visits were performed in a hybrid setting and N = 2,029,021 in a manual setting, we applied a multilevel model to estimate the impact of this cobot settings on task performance.

We show that cobot settings can reduce the time required for picking tasks by as much as 33.57%. Furthermore, practical factors such as product weight, pick density and travel distance mitigate this effect, suggesting that cobots are especially beneficial for short-distance orders.

Given that the literature on hybrid order picking systems has primarily applied simulation approaches, the study is among the first to provide empirical evidence from a real-world setting. The results are discussed from the perspective of Industry 5.0 and can prevent managers from making investment decisions into ineffective robotic technology.

At the end of the session, learners are expected to be able to evaluate the detrimental impact of stress on blue-collar workers’ well-being in Attainer Engineering Sdn Bhd; develop effective strategies to improve stressful conditions experienced by blue-collar workers in Attainer Engineering Sdn Bhd; analyse and select appropriate approaches that can help maintain the motivation levels of blue-collar workers in Attainer Engineering Sdn Bhd; analyse the impact of Attainer Engineering Sdn Bhd’s extensive investment in training new blue-collar workers, alongside the subsequent high turnover rate, on the decline in sales and profit; identify the critical changes that the managing director should have implemented to prioritize employee retention among blue-collar workers at Attainer Engineering Sdn Bhd; discuss the strategic implementation of mechanization, specifically in the context of automating repetitive processes, as an innovative solution to address the challenges faced by the ship repair and maintenance service industry heavily reliant on blue-collar workers in emerging markets; cultivate thoughtful debates on ways to keep blue-collar workers in the shipping repair and maintenance industry, as well as active learner participation and group interaction; develop learners’ analytical and critical thinking skills by guiding them through the analysis of a real-world case study in the shipping repair and maintenance industry, concentrating on the difficulties and potential solutions for blue-collar worker retention; and equip learners with practical knowledge and insights on implementing effective human resources strategies for retaining blue-collar workers in the shipping repair and maintenance industry, emphasizing the conversion of theoretical concepts into workable solutions.

This teaching case study centres on Attainer Engineering Sdn Bhd, a Malaysian conglomerate that bestows ship repair and maintenance services. Regrettably, the corporation has been subjected to a decrease in profitability and productivity owing to its high turnover rate of blue-collar workers. The ship repair and maintenance service industry is accountable for delivering comprehensive repair and maintenance services to ships, including their engines, hulls, machinery and other related components. The fundamental aim of this case study is to ascertain the rudimentary factors that contribute to this issue and foster effective strategies to enhance the motivation and retention rate of blue-collar workers in the ship repair and maintenance service corporation, using appropriate management theories, models and concepts. The case study brings to light the importance of discovering the most suitable approaches to retain blue-collar workers in the corporation to improve its profitability and productivity in a highly competitive market. This teaching case study will be beneficial for students and practitioners who want to grasp the disputes associated with retaining blue-collar workers in the ship repair and maintenance service industry and learn how to apply management theories, models and concepts to address these disputes effectively.

This case discussion would be highly suitable for undergraduate and postgraduate university students who are pursuing their studies in management or related fields and are eager to delve into the nuances of the ship repair and maintenance service industry. Furthermore, trainers from both private and public agencies who are keen on gaining a deeper understanding of the issues pertaining to retaining blue-collar workers in this particular industry and devising result-oriented strategies to tackle these concerns would also find this case discussion immensely helpful.

Teaching notes are available for educators only.

CSS 6: Human resource management.

Among the various applications involving the use of microwave energy, its growing utility within the mining industry is particularly noteworthy. Conventional grinding processes are often overburdened by energy inefficiencies that are directly related to machine wear, pollution and rising project costs. In this work, we numerically investigate the effects of microwave pretreatment through a series of compression tests as a means to help mitigate these energy inefficiencies.

We investigate the effects of microwave pretreatment on various rock samples, as quantified by uniaxial compression tests. In particular, we assign sample heterogeneity based on a Gaussian statistical distribution and invoke a damage model for elemental tensile and compressive stresses based on the maximum tensile stress and the Mohr–Coulomb theories, respectively. We further couple the electromagnetic, thermal and solid displacement relations using finite element modeling.

(1) Increased power intensity during microwave pretreatment results in decreased axial compressive stress. (2) Leveraging statistics to induce variable compressive and tensile strength can greatly facilitate sample heterogeneity and prove necessary for damage modeling. (3) There exists a nonlinear trend to the reduction in smax with increasing power levels, implying an optimum energy output efficiency to create the maximum degradation-power cost relationship.

Previous research in this area has been largely limited to two-dimensional thermo-electric models. The onset of high-performance computing has allowed for the development of high-fidelity, three-dimensional models with coupled equations for electromagnetics, heat transfer and solid mechanics.

Despite the fact that hygiene and sanitation are becoming more critical for improving the present situation in developing nations, the factors that affect them are not well covered in the present research. This paper investigates the quality of the hygiene and sanitization factors and identifies the interrelations between the identified factors.

A graph theory-based approach is proposed to assess the factors influencing the practice, and a critical service index (CSI) is used to quantify the same.

Two Indian villages are used to illustrate the implementation of the suggested approach. This represents the validation of the suggested method, as well as assisting in the development of essential suggestions for increasing the quality of hygiene and sanitization in the Indian context. In spite of the increasing importance of hygiene and sanitation for improving the current situation in developing countries, the factors that influence them are not well-researched.

This study contributes in two ways. First, it provides an organized methodology for quantifying hygiene and sanitation factors and a critical service index that incorporates the findings. The suggested approach may also be used to evaluate and classify other sectors. Second, it shows how the methodology was used to create key recommendations for two Indian villages, which may be considered the first effort in India’s hygiene and sanitation initiatives.

This research discussed improvements in sanitation and hygiene habits among Indian households, which have not been achieved as expected under the Swachh Bharat Mission.

The hygiene factor is always imperative when customers consider a certain restaurant, and the information contained in customer reviews can be an efficient approach to gauge a restaurant's hygiene during gaps in the official inspection. Therefore, the purpose of this study was to investigate whether information obtained from online reviews could predict the upcoming hygiene rating, specifically, evaluating the impact of both qualitative and quantitative content of reviews on the restaurant hygiene rating.

The quantitative research method with big data analytic techniques was applied in this study. In total, 127,656 pieces of data collected from 1,710 restaurants in four major cities in the USA were used in the analysis. Both quantitative factors (i.e. reviewer's numerical rating, days to review, readability, useful/funny/cool) and qualitative factors (i.e. eight emotional dimensions of textual reviews) were analyzed from the online customer reviews and considered in predicting the restaurant's hygiene rating.

Six out of eight emotional dimensions including anger, disgust, fear, sadness, surprise and trust were identified as having significant influences on the restaurant hygiene ratings. While three quantitative variables including days to review, readability and usefulness were identified with significant impacts on the dependent variable of restaurant hygiene rating.

This study opens an avenue for innovative research that establishes a connection between customers' reviews and restaurants' inspection systems. The results allow restaurants to predict an impending hygiene inspection rating upon dynamic assessment of review content and aid in adjusting hygiene measures accordingly.

Oral health is an integral part of general health. Different population groups have been assessed for oral health status in India, but still, many have been neglected; one such group is the prisoners. The prison population is a unique and challenging one with many health problems, including poor oral health, which may be due to lack of knowledge about good oral health practices. This study aims to assess effectiveness of oral health education on oral health knowledge, attitude and practices and oral hygiene status among the male prison inmates of central jail in Kolkata, India.

An interventional study was done among 240 male convicts. The data was elicited using a structured proforma; oral health status was assessed by recording OHI-S index, and the severity of gingivitis was assessed by recording the gingival index. Oral health education was delivered by using audio-visual aid. Oral health knowledge, attitude, practices and oral hygiene and gingival status were reassessed among the inmates before and after dental education at the end of three and six months.

A significant change in oral health knowledge, attitude and practices was seen, which in turn resulted in an appreciable decrease in the mean gingival index score (1.73 ± 0.382 to 1.20 ± 0.321) and OHI-S (3.31 ± 0.815 to 2.57 ± 0.551) in all the inmates after oral health education program over the period of time.

The oral health education with reinforcement proved to be an effective tool to instil good oral hygiene practices in the inmates.

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management.

To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure.

The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person.

This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies.

To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.