The aim of this paper is to consider the mental and physical wellbeing of employees through a lean-inspired People Value Stream lens. Poor well-being is a major cause of reduced productivity for organisations and a drain on healthcare services. We develop a conceptual approach as to how the interrelated spheres of mental and physical health might be dramatically improved through the lean, proactive intervention of employees. This requires the creation of a self-reliant wellness approach by focusing on an individual's meaning and goals and their consequent overall wellness and motivation. This involves assessing their mental and physical ‘flow’ during their career and how individuals can take control of their own wellbeing with the support of their team and wider organisation. Attention to this flow will help employees achieve what they want more quickly and effectively, with consequent benefits to their team and the organisation. We show how this can be achieved from a conceptual point of view and with a practical example. This is the first flow to be considered in detail within the People Value Stream approach. This provides a framework to completely rethink mental and physical wellbeing from the viewpoint of the individual rather than the organisation.

Purpose: The study examines the mediating effect of self-emotion appraisal and other-emotion appraisal on psychological safety, individual resilience, and organizational commitment at the workplace. Design/methodology/approach: This study generated 140 survey responses from workers in diverse occupations and industries during the COVID-19 pandemic. A mixed-methods data analysis was conducted. Hierarchical regression analysis was employed to test the hypotheses, and process macroanalysis was used to generate the mediation analysis. Qualitative data analysis through thematic coding was adopted to interpret the respondents’ written opinions and narratives. Findings: The results revealed that self-emotion appraisal strongly correlates to resilience, but evaluation of self-emotion has no effect on organizational commitment. Other-emotion appraisal and psychological safety are not significant predictors of resilience at the workplace. Rather, psychological safety is a significant predictor of organizational commitment. The qualitative analysis generated from the respondents’ narratives provides deeper insight into the quantitative results. Additional data that emerged from the qualitative interpretation revealed other factors that are related to emotional appraisal, psychological safety, resilience, and organizational commitment. Practical implications: The findings shed light on the need to understand an individual’s emotional appraisal when instilling workplace resilience. Further, promoting psychological safety, such as by involving employees in the change process, managing fairness perception, and eliciting trust, enhances organizational commitment in the workplace. Integrating open communication, management intervention, and coaching programmes should form part of the employee engagement and development functions to help build organizational resilience and commitment. Originality/value: This research is an original contribution conducted during the global health crisis that led to abrupt changes in the workers’ lives and the workplaces in Singapore. Research implications: This present study demonstrated constructive findings on emotion regulations and perceived psychological safety associated with resilience and commitment amid the disruptive changes in work practices at the workplace. Further, the outcome of the study shows the mediating effect of self-emotional appraisal on psychological safety and resilience. The result draws parallels with past literature that showed that individuals who appraised their emotions tended to recalibrate and recognize their subjective behaviour and take actions to modify it. Social implications: Emotion regulation connotes employees’ emotion coping strategies, and research showed that emotion reappraisal produces a positive effect on workplace relationship quality. 

In the present work, a series of butyl methacrylate/1-hexene copolymers were synthesized, and their efficiency as viscosity index improvers, pour point depressants, and shear stabilizers of lube oil was investigated. The effect of 1-hexene molar ratio, type, and concentration of Lewis acids on the incorporation of 1-hexene into the copolymer backbone was investigated. The successful synthesis of the copolymers was confirmed through FTIR and 1H NMR spectroscopy. Results obtained from quantitative 1H NMR and GPC revealed that an increase in the molar ratio of 1-hexene to butyl methacrylate, along with concentration of Lewis acids led to an increase in 1-hexene incorporation and a reduction in Mn and Ð. Similar trends were observed when the Lewis acid changed from AlCl₃ to organometallic acids. The maximum 1-hexene incorporation (26.4%) was achieved for sample BHY3, with a [1-hexene/BMA] ratio of 4 mol% and a [Yb(OTf)₃/BMA] ratio of 2.5 mol%. Evaluation of the synthesized copolymers as lube oil additives demonstrated that the viscosity index was more significantly influenced by samples with higher molecular weight. Sample BHA13 represents maximum VI of 137. The copolymer containing Yb(OTf)₃ as a catalyst exhibited superior efficiency as a pour point depressant. Furthermore, sample BHY3 showed the lowest shear stability index (6.4).

The usage of cybersecurity is growing steadily because it is beneficial to us. When people use cybersecurity, they can easily protect their valuable data. Today, everyone is connected through the internet. It’s much easier for a thief to connect important data through cyber-attacks. Everyone needs cybersecurity to protect their precious personal data and sustainable infrastructure development in data science. However, systems protecting our data using the existing cybersecurity systems is difficult. There are different types of cybersecurity threats. It can be phishing, malware, ransomware, and so on. To prevent these attacks, people need advanced cybersecurity systems. Many software helps to prevent cyber-attacks. However, these are not able to early detect suspicious internet threat exchanges. This research used machine learning models in cybersecurity to enhance threat detection. Reducing cyberattacks internet and enhancing data protection; this system makes it possible to browse anywhere through the internet securely. The Kaggle dataset was collected to build technology to detect untrustworthy online threat exchanges early. To obtain better results and accuracy, a few pre-processing approaches were applied. Feature engineering is applied to the dataset to improve the quality of data. Ultimately, the random forest, gradient boosting, XGBoost, and Light GBM were used to achieve our goal. Random forest obtained 96% accuracy, which is the best and helpful to get a good outcome for the social development in the cybersecurity system.

This research conducts a comparative urban analysis of two coastal cities with analogous tourism models situated in distinct geographical regions: Balneário Camboriú in Brazil and Benidorm in Spain. The study delves into two critical urban phenomena impacting the sustainability of tourist cities, utilising social network data to gather insights into economic and urban activities (Google Places) and spatio-temporal patterns of citizen presence (Twitter). The spatial analysis explores the municipal and, to a more detailed extent, the coastal strip extending 500 m inland from the coastline, spanning the entire length of each city to their municipal boundaries. The analysis uncovers both similarities and differences between the two destinations, offering insights that could inform future development strategies aimed at fostering sustainable urban environments in these well-established coastal tourist areas.

This study examines the determinants of stunting prevention among toddlers in fishing families residing in the coastal areas of Bengkulu City. Utilizing a mixed-method approach, the research combined survey data from 70 respondents and in-depth interviews with 11 informants. Findings indicate that health behavior and genetic factors from health status, alongside education level and occupation from socioeconomic status, play pivotal roles in stunting prevention. Consumption patterns, particularly the consistent provision of animal protein and vegetables in daily meals, significantly contribute to the absence of stunting cases in the studied population. However, limited fruit intake persists due to economic barriers. The study underscores the necessity of integrated strategies, including nutrition education, enhanced access to nutritious foods, and economic support for fishing families, to sustain stunting prevention in coastal communities.