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Mindfulness and Energy at Work Among Frontline Restaurant Employees
This study examines the correlation between mindfulness and energy in work among frontline restaurant staff in Bengaluru, India. The paper presents theoretical underpinnings related to mindfulness and energy in work, methodology, and some key findings. Through a convenience sampling method, 222 frontline employees working in top-rated fine dining specialty restaurants in Bengaluru were surveyed. The level of mindfulness was measured with the 15-item Five Facet Mindfulness Questionnaire (FFMQ) and energy at work by the 14-item Relational Energy Scale. The analysis of data used Pearsons correlation and regression in order to check the relations and causations, complemented by ANOVA and t-tests for the demographic differences. The study results indicated a statistically significant low positive correlation between mindfulness and energy at work (r = 0.337, p < 0.001). Regression analysis revealed that mindfulness predicts 11.4% of the variability in energy at work. Significant demographic influences include marital status on mindfulness and industry experience on energy levels. The findings indicate that developing mindfulness will increase employees energy and well-being, leading to improved organizational outcomes. Recommendations are provided for specific HR strategies that can integrate mindfulness practices into routine workplace routines. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Mindfulness and social cognitive processing
This chapter explores the intricate interplay between social cognitive processing and mindfulness, highlighting their reciprocal relationship. Present-moment awareness defines mindfulness, which influences and is influenced by social interactions. It promotes prosocial behaviour, compassion, and empathy by enhancing social cognition. The symbiotic relationship also impacts individuals, cultivating a harmonious sense of self. The multifunctionality of mindfulness is apparent in various contexts, as it provides benefits such as reduced tension and enhanced team relations. Longitudinal studies underscore the enduring positive effects, emphasizing improved well-being over time. The potential of mindfulness to affect positive social change is considerable, as it can foster a society that is more interconnected, empathetic, and mindful of social issues. 2024, IGI Global. -
Mindfulness in treatment-seeking adults with comorbid obsessive-compulsive and major depressive disorders: Mediating effects of obsessive beliefs and mental well-being
Background: Mindfulness-based interventions have shown promise in alleviating symptoms associated with obsessive?compulsive disorder (OCD) and major depressive disorder (MDD). However, the specific mechanisms that drive these effects, mainly through obsessive beliefs and mental well?being, are seldom examined. Aim: To explore the mechanisms by which mindfulness influences symptom severity in adults with comorbid OCD and MDD, focusing on the mediating roles of obsessive beliefs and mental well-being. Methods: Primary data from 60 treatment-seeking adults with comorbid OCD and MDD were analyzed. Ordinary least-squares path analysis was employed to examine the mediating roles of obsessive beliefs and mental well-being in the relationship between mindfulness and the severity of OCD and MDD symptoms. Results: Mindfulness was significantly associated with reduced symptom severity for both OCD (? = ? 0.40, P < 0.001) and MDD (? = ? 0.49, P < 0.001). For MDD, obsessive beliefs (? = ? 0.20, P < 0.001) and mental well?being (? = ? 0.33, P < 0.001) significantly mediated the relationship. In contrast, no significant indirect effects were observed for OCD symptoms through obsessive beliefs (? = ? 0.10, P = 0.16) or mental well?being (? = ? 0.08, P = 0.20). Conclusion: These findings highlight the distinct mechanisms of mindfulness in comorbid OCD and MDD, underscoring the importance of customized interventions based on specific pathways. 2025 Indian Journal of Psychiatry. -
Mindfulness-based interventions: Applications in Western and Indian psychology
This chapter examines mindfulness-based interventions (MBIs) in Western and Indian psychology. It begins with a summary of MBIs, their historical origins, and their theoretical frameworks. The empirical evidence then examines the efficacy of MBIs, emphasizing their impact on both Western and Indian psychology. It probes deeper into the specific applications of MBIs in each cultural context, focusing on adapting mindfulness practices to accommodate cultural differences. Case studies demonstrate the efficacy of MBIs in reducing anxiety, depression, and work-related stress. The significance of cultural sensitivity and inclusiveness, in addition to the implications of MBIs for psychological practice and future research directions, is discussed. It highlights the significance of MBI and provides recommendations for future advancements. It provides an overview of the applications of MBIs, emphasizing their potential to improve well-being, reduce psychological distress, and promote a more inclusive approach to psychological practice. 2024, IGI Global. All rights reserved. -
Mindfulness-based relapse preventionA meta-analysis
Addiction is of varied types and over the years the focus has not only been on the growing issues of addiction but also on how to prevent relapse on recovering clients. According to Buddhist teaching craving is the cause of suffering and suffering festers itself due to attachment. Once an individual is enlightened he will be able to find a path that ceases such suffering. Mindfulness helps bring about such enlightenment through being conscious and reflective of every moments experience. Mindfulness does not stop at being aware alone but extends its teaching to accepting such experiences as they are and letting go. Relapse prevention has long been researched on and new therapies developed to facilitate the same. This conceptual paper looks at how Mindfulness-based relapse prevention therapy works to prevent relapses. The paper focuses on understanding each of the eight-week therapy process and how it progresses in changing thoughts and reducing stress. The paper shows how Mindfulness-based relapse prevention helps clients understand their craving and how to change thoughts in order to deal with a craving thus preventing relapse. 2019, 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Mindfulness-based strengths practice: a conceptual framework and empirical review of the literature
This review set out to provide empirical literature on mindfulness-based strengths practice (MBSP), a new approach in positive psychology that integrates mindfulness with character strengths, two positive predictors of well-being. First, the conceptualization of integrating character strengths and mindfulness into MBSP is discussed. The literature on the interrelatedness of character strengths and mindfulness is then described, along with ways that the intervention of MBSP encourages positive outcomes at various levels. The literature search returned 7 (10 samples, N = 3,851) studies supporting a positive association between character strengths and mindfulness (r = 0.30.4) and the mediating role of character strengths/virtues in mindfulness and mindfulnesss role in enhancing character strengths toward psychological well-being. The nine MBSP intervention studies (9 samples, N = 354) conducted in diverse contexts provide evidence of a significant improvement in well-being, engagement, life satisfaction, mindfulness, positive affect, character strengths, work-related outcomes, heightened birthing parents well-being during pregnancy and childbirth, increased academic performance, and enhanced mental health among students. The intervention studies also reported the fostering of mindful positive parenting and contributions to a significant reduction in negative psychological states, such as stress, depression, anxiety, and negative affect. This comprehensive review provides empirical support for the MBSP framework and its positive impact on well-being across various domains, including organizations, education, healthcare, and family. However, it underscores the need for more extensive research, as the current literature on MBSP is limited. The review encourages future studies to explore MBSP applications in diverse domains, thereby paving the way for a deeper understanding of its potential benefits. 2024 Taylor & Francis Group, LLC. -
Mindfulness: An emotional aid to the glass ceiling experiences
We have progressed to a phase where there is very little difference between men and women, but the reality in many countries is that women are looked down as the inferior gender and not given career opportunities to explore. They are not let into the decision-making roles at the organization even when they have an equal qualification, experience and skill. They are placed low in the hierarchy which allows them to witness the functions at the higher level of the organization but restricts them from participating in them. There are a lot of factors like cultural, socio-demographic factors and society itself that influence this disparity in the organization. These contributory factors create the glass ceiling phenomenon at the workplace, thereby generating emotional and psychological imbalances in women employees. This is a conceptual paper aiming to explore the concept and impact of mindfulness, and various concepts of mindfulness could be used as an emotional aid to treat the psychological effects of the glass ceiling. It further explains some of the mindful concepts like mindful walking, mindful life and mindfulness-based stress reduction technique in treating some of the psychological and emotional issues like depression, anxiety, frustration, traumatic experiences, adjustment issues, addiction, stress, low self-esteem, low self-confidence and aggression. It also elucidates adopting mindfulness techniques in real organizational scenarios where women are constantly discriminated because of their gender and opportunities are taken away. 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Mindlessness by design: how digital platforms shape the psychological, behavioral and civic experiences of Generation Z
Purpose This paper aims to examine how digital platform architectures shape the psychological, behavioral and civic experiences of Generation Z. It challenges deficit-based views of mindlessness, situating distraction, procrastination and diminished attention within the structural logics of the attention economy rather than individual failure. Design/methodology/approach This commentary synthesizes illustrative and representative evidence from psychological, cognitive, sociological and policy literatures across Indian and global contexts to advance a conceptual account of platform-induced mindlessness as a socio-technical phenomenon, rather than undertaking a systematic or exhaustive review. Findings Excessive smartphone use, algorithmic personalization and media multitasking erode attentional control, academic performance and emotional resilience while weakening face-to-face interaction and civic participation. These patterns reflect engagement-maximization strategies embedded in digital infrastructures and mark a shift from situational distraction to structurally conditioned cognition. Originality/value By reframing mindlessness as a systemic rather than moral issue, this paper advances the concept of structural accountability in digital life. It calls for reforms in platform governance, digital literacy and public policy to promote psychological well-being and civic inclusion through collective and interdisciplinary responsibility. 2026 Emerald Publishing Limited -
Mine Waste-Based Next Generation Bricks: A Case Study of Iron Ore Tailings, Red Mudand GGBS Utilization in Bricks
Utilization of mine wastes as a building material in the construction industry surmises to environmental and sustainable concepts in civil engineering.The potential environmental threat posed by mining wastes, as well as a growing societal awareness of the need to effectively treat mining wastes, has elevated the subject importance.The present research proposes a method of producing bricks that is both cost effective and environmentally benign. The research is based on the geopolymerization, known to save energy by obviating high-temperature kiln firing and lowering greenhouse gas emissions. The methodology encompasses the mixing of red mud and iron ore tailings in the range of 90% to 50% with a decrement of 10% with GGBS in the range of 10% to 50% with an increment of 10%. The raw materials and the developed composites have been tested as per Indian and ASTM standards.In addition to tests pertaining to the physical and mechanical properties, XRF, XRD, and SEM tests have been performed for examining various related issues. Based on the result analysis, the compressive strength values showed noticeable differences in case of IOT and red mud bricks with IOT-based bricks showing better compressive strengths. 2021 M. Beulah et al. -
Miniaturization of Microstrip Antenna with Enhanced Gain Using Defected Ground Structures
The rapid advancement and growth in the wireless technology demands miniaturized communication equipment's. Microstrip antennas attracted many researchers over the past decades because of its various features like small in size, light weight, low cost and conformability. These antennas can operate at high frequencies and multiple bands with high gain and larger bandwidths if suitably designed. This work presents a Rectangular Microstrip Antenna (RMSA)performance improvement using defected Ground Structures (DGS). The simulation results revealed that the creation of Complementary Split Ring Resonator (CSRR)and Phi as a defect in the ground of proposed antenna has improved its gain. Introduction of DGS improved the gain by 27% and reduced the size by approximately 3.35%. Proposed Rectangular Microstrip Antenna with Defected Ground (RMSA-DGS)exhibits gain of 3 dB at 2.4 GHz with S11 response of -30.44 dB. In addition to this the antenna also shows one more resonance at 4.66 GHz with S11 of -14.29 dB and gain of -1.24 dB. RMSA-DGS has an overall dimension of 37.2 47.23 mm2. 2019 IEEE. -
Miniaturized Band Stop Frequency Selective Surface for Stable Resonance Characteristics
In this paper, miniaturized 7.45 GHz resonant frequency band stop frequency selective surface (FSS) is designed. The unit cell dimensions of designed FSS is only about 0.1?0 at the 7.45 GHz. Proposed design involves a crossed dipole metallic element together with meander shape on the substrate. Simulation results provide about 800 MHz bandwidth (7.1 GHz-7.9 GHz) with-20 dB insertion loss. The FSS properties are studied on a unit cell using electromagnetic (EM) solver to observe the characteristics. Proposed FSS demonstrates a stable resonance frequency behavior for the arbitrary angle of incidences in both the polarizations such as TM and TE modes. Thus, the design holds a polarization independent characteristic for all incident angles and polarizations. Finally, the FSS properties are validated by a fabricated array of 311 mm2. 2018 IEEE. -
Minimizing Energy Depletion Using Extended Lifespan: QoS Satisfied Multiple Learned Rate (ELQSSM-ML) for Increased Lifespan of Mobile Adhoc Networks (MANET)
Mobile Adhoc Networks (MANETs) typically employ with the aid of new technology to increase Quality-of-Service (QoS) when forwarding multiple data rates. This kind of network causes high forwarding delays and improper data transfer rates because of the changes in the nodes vicinity. Although an optimized routing technique to transfer energy has been used to lessen the delay and improve the throughput by assigning a proper data rate, it does not consider the objective of minimizing the energy use, which results in less network lifetime. The goal of the proposed work is to minimize the energy depletion in a MANET, which results in an extended Lifespan of the network. In this research paper, an Extended Life span and QSSM-ML routing algorithm is proposed, which minimizes energy use and enhances the network lifetime. First, an optimization problem is formulated with the purpose of increasing the networks lifetime while limiting the energy utilization and stability of the path along with residual. Second, an adaptive policy is applied for the asymmetric distribution of energy at both origin and intermediate nodes. In order to achieve maximum network lifespan and minimal energy depletion, the optimization problem was framed when power usage is a constraint by allowing the network to make use of the leftover power. An asymmetric energy transmission strategy was also designed for the adaptive allocation of maximum transmission energy in the origin. This made the network lifespan extended with the help of reducing the nodes energy use for broadcasting the data from the origin to the target. Moreover, the nodes energy use during packet forwarding is reduced to recover the network lifetime. The overall benefit of the proposed work is that it can achieve both minimal energy depletion and maximizes the lifetime of the network. Finally, the simulation findings reveal that the ELQSSM-ML algorithm accomplishes a better network performance than the classical algorithms. 2023 by the authors. -
Minimizing the waste management effort by using machine learning applications
Waste management is a process of collecting, transporting, disposing, and monitoring waste materials generated by human activities. It is an essential part of maintaining public health, hygiene, and environmental sustainability. Waste management systems can be designed to handle different types of waste, such as household waste, industrial waste, hazardous waste, and medical waste. The increasing amount of waste has become a major issue for the development of sustainable communities. Machine learning can help solve this problem by allowing scientists to analyze and reduce waste. This chapter aims to provide a comprehensive overview of the various aspects of waste management using machine learning. The chapter covers the various aspects of waste disposal, generation, transportation, and collection. It also explores machine learning's potential in this area, such as data analysis and prediction. It additionally compiles case studies about how machine learning has been utilized in this field. 2024, IGI Global. -
Mining and Interpretation of Critical Aspects of Infant Health Status Using Multi-Objective Evolutionary Feature Selection Approaches
The rate of infant mortality (IMR) in a population under one year of age is a marker for infant mortality. It is a major sensitive marker of a community's overall physical health. Protecting the lives of newborns has become a challenging issue in public health, development programs, and humanitarian initiatives. Almost 10.1% infants died in the United States of America (USA) in 2021. Therefore, this paper aims to extract and understand the various influential factors causing infant deaths in the USA. A crowding distance-based multi-objective ant lion optimization (MOALO-CD) is proposed here with statistical evidence for feature selection. The proposed technique is compared with competitive metaheuristic models such as multi-objective genetic algorithm based on crowding distance (MOGA-CD), multi-objective filter approaches, and recursive feature elimination. Various machine learning classifiers are applied to the selected feature subset obtained from MOALO-CD on the USA's infant dataset. Extensive experimental results indicate that the proposed model outperforms the existing metaheuristic approaches in terms of Generational Distance, Inverted Generational Distance, Spread, and Hyper volume. Also, the comparative analysis of various machine learning models reveals that random forest achieves significantly better performance on the feature subset obtained from MOALO-CD. 2013 IEEE. -
Mining Heterogeneous Lung Cancer from Computer Tomography (CT) Scan with the Confusion Matrix
Early detection of any sort of cancer, particularly lung cancer, which is one of the worlds most lethal illnesses, can save many lives. Life expectancy can be improved and the degree of mortality reduced by adopting the early forecast. While there are different methods like X-ray and CT scans to detect lung cancer cells, CT images resulted as more favored. The 2D images are used for more accurate medical results, such as CT scans. The proposed approach here will address how to interpret the CT images for the Mining Heterogeneous Lung Cancer from Computer Tomography (CT) Scan with the Confusion Matrix. This research will explore how the image conversion can be achieved through different methods of image processing to obtain better results from CT images. The Confusion Matrix helps to estimate inequality in a picture pattern. After the evaluation of the processed images by Confusion Matrix, a final accuracy with a result of 93% is obtained. 2023 Scrivener Publishing LLC. -
Mining the web data for classifying and predicting users' requests
Consumers are the most important asset of any organization. The commercial activity of an organization booms with the presence of a loyal customer who is visibly content with the product and services being offered. In a dynamic market, understanding variations in client?s behavior can help executives establish operative promotional campaigns. A good number of new consumers are frequently picked up by traders during promotions. Though, several of these engrossed consumers are one-time deal seekers, the promotions undeniably leave a positive impact on sales. It is crucial for traders to identify who can be converted to loyal consumer and then have them patronize products and services to reduce the promotion cost and increase the return on investments. This study integrates a classifier that allows prediction of the type of purchase that a customer would make, as well as the number of visits that he/she would make during a year. The proposed model also creates outlines of users and brands or items used by them. These outlines may not be useful only for this particular prediction task, but could also be used for other important tasks in e-commerce, such as client segmentation, product recommendation and client base growth for brands. Copyright 2018 Institute of Advanced Engineering and Science. All rights reserved. -
Minority Stress and Mental Health of Indian Non-binary Individuals
This study investigated how Indian non-binary individuals experience minority stress and its impact on mental health, with a focus on the role of social support and coping mechanisms. Semi-structured interviews with eight non-binary participants aged 1823 from Bengaluru revealed four main themes: societal treatment, self-identity, minority stress and mental health, and social support. Findings indicate that experiences with discrimination, misgendering, gender dysphoria, and identity concealment contribute to negative mental health outcomes. However, social support and effective coping strategies were found to positively influence mental health by affirming identity. These results suggest potential avenues for developing targeted interventions and support systems to improve mental health among non-binary individuals. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. -
Mirabijalones S-W, rotenoids from rhizomes of white Mirabilis jalapa Linn. and their cell proliferative studies
Five undescribed (2-6) rotenoid derivatives along with three known rotenoids (1, 7 and 8) were isolated from the rhizomes of white colored variety of Mirabilis jalapa Linn. The structures of these undescribed compounds were elucidated based on UV, IR, HR-MS (ESI), 1D and 2D NMR spectroscopic techniques. Selected compounds were evaluated for their cell viability and proliferation in two cancer cell lines namely, cervical (HeLa), breast (SKBR-3) and normal lung fibroblast (WI-38). Among them, the compounds Boeravinone C (1), Mirabijalone S (2), Mirabijalone T (3) and 4, 6, 11-trihydroxy-9-methoxy-10-methylchromeno [3, 4-b] chromen-12(6H)-one (8) showed moderate cytotoxicity against HeLa cells with IC50 values in the 8.40 ? 12.9 ?M range, and compound 8 exhibited cytotoxicity against SKBR-3 cells with IC50 value of 17.6 ?M. Molecular docking studies of isolated compounds were performed with three apoptosis proteins, 3H11, 2AR9 and 1X0X. These results revealed that the isolated compounds were found to interact with Caspase 8 and 9 along with the anti-apoptotic protein Survivin. Since these compounds exhibit cytotoxic effects against SKBR3 and HeLa cells, they are expected to show apoptosis and may be further utilized for wet lab apoptotic studies. 2021 Phytochemical Society of Europe -
MIST-based Tuning of Cyber-Physical Systems Towards Holistic Healthcare Informatics
The entire world seems shaken and disrupted since the strike of Covid-19 ever since its outbreak towards the end of 2019 and its continued perils. During this unprecedented event of the century, people's health emerged as the most vulnerable and affected area either directly or indirectly by the coronavirus and its new variants. Disrupting almost all spheres of life, patients' health and care systems required timely support from healthcare professionals to provide the needed medical advice on one hand and a prescriptive mechanism to avoid another impending casualty. Similarly, a proactive approach became desirable from the health ministry, pharmaceutical firms, medical insurance companies, and other stakeholders in fine-tuning their offerings to the patients as per the recommender systems. The devices to measure the vitals of a person, became more efficient and ergonomically sound with the advent of wearable gadgets. These devices monitored the physical activities of the user and transferred the vital signals wirelessly to any base computing device and cloud-based repositories. This mechanism, however, was reported to fail in addressing the issues with non-communicating or stand-alone devices that were used by the masses in developing countries including India. If the real-time data could be used from these devices, the healthcare diagnosis and analysis of a patient's medical condition could have taken a progressive dimension with the addition of missing data points. This research thus aims to fill the information gap and proposes a transforming approach towards existing non-communicating devices used to measure the vitals like blood pressure, oxygen level, blood sugar, etc. The proposed MIST-based Cyber-Physical System shall create extensive scalability towards the retrieval of the vital details from the devices which were otherwise captured offline previously and were unused at multiple critical points of healthcare processes. 2022 IEEE. -
Misuse of Internet Among School Children: Risk Factors and Preventative Measures
The Internet has been one of the most transformative and rapidly growing technologies. In recent years, it has improved the quality of life in areas such as communication, education, recreation. On the contrary, there are growing concerns about the use of the Internet that have created adverse consequences in the areas of social life, interpersonal relationships, family environment, and school activities. School-going children were vulnerable to such unhealthy outcomes due to readily available high-speed Internet and ease of access to different Internet platforms, which resulted in risky behaviours, decreased academic performance, poor nutrition, decreased sleep quality, and a high incidence of inter-social conflicts. While the majority of the research has focused on the adolescent population in terms of problematic Internet use, only a few studies have identified the vulnerabilities of school-going children in the same context. The research also confirmed that the risk factors for problematic Internet use start as early as middle childhood. Heightened risky use of the Internet was observed in children with neurodevelopmental concerns. This study explores risk factors associated with problematic Internet use among school-going children, identifying relevant warning signs followed with preventative measures. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.